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Slovenia

Market Forecast Tables 2023

These tables show forest products production and trade forecasts for 2023 and 2024. These cover roundwood (logs, pulpwood and fuel wood), sawnwood (coniferous and non-coniferous), wood-based panels (plywood, particle board, OSB and fibreboard), pulp, paper and wood pellets.  The forecast data are provided by national correspondents and approved at the meeting of the Committee on Forests and the Forest Industry.

Languages and translations
English

List of tables

List of Tables and Notes
Table 1 - Sawn Softwood
Table 2 - Sawn Hardwood (total)
Table 2a - Sawn Hardwood (temperate)
Table 2b - Sawn Hardwood (tropical)
Table 3 - Veneer Sheets
Table 4 - Plywood
Table 5 - Particle Board (excluding OSB)
Table 5a - Oriented Strand Board
Table 6 - Fibreboard
Table 6a - Hardboard
Table 6b - MDF/HDF
Table 6c - Other Fibreboard
Table 7 - Wood Pulp
Table 8 - Paper and Paperboard
Table 9 - Removals of wood in the rough
Table 9a - Removals of wood in the rough (softwood)
Table 9b - Removals of wood in the rough (hardwood)
Table 10 - Softwood sawlogs
Table 11 - Hardwood sawlogs
Table 11a - Hardwood logs (temperate)
Table 11b - Hardwood logs (tropical)
Table 12 - Pulpwood
Table 12a - Pulpwood (softwood)
Table 12b - Pulpwood (hardwood)
Table 12c - Wood Residues, Chips and Particles
Table 13 - Wood Pellets
Table 14 - Europe: Summary table of market forecasts for 2023 and 2024
Table 15 - North America: Summary table of market forecasts for 2023 and 2024
Source: UNECE Committee on Forests and the Forest Industry , November 2023, http://www.unece.org/forests/fpm/timbercommittee.html
Notes: Data in italics are estimated by the secretariat. EECCA is Eastern Europe, Caucasus and Central Asia.
Data for the two latest years are forecasts.
In contrast to previous years, data are shown only for countries providing forecasts. Sub-regional totals are only for reporting countries.
In contrast to years prior to 2020, data are shown only for countries providing forecasts. Sub-regional totals thus reflect only the reporting countries of the subregion.
Confidential data have not been included. Please inform secretariat in case you notice any confidential data which might have been included inadvertently.
Wherever the forecast data is incomplete, then data is repeated to avoid skewing.
For tables 1-13, data in italics are secretariat estimates or repeated data. All other data are from national sources and are of course estimates for the current and future year.
Countries with nil, missing or confidential data for all years on a table are not shown.
Consumption figures are the sum of production and national imports minus national exports. Softwood = coniferous, hardwood = non-coniferous. United Kingdom production figures for OSB is secretariat estimate.
Uzbekistan – data extrapolated by the Secretariat based on national data for the first eight months 2023.
Poland - The trade turnover is based on data that includes the estimated value of trade turnover by entities exempt from the reporting obligation. These trade turnover figures are estimated at 3%. Roundwood: sawlogs and veneer logs and pulpwood and wood fuel - with removals from trees and shrubs outside the forest, including forest chips, with stump. Residues - production excluding recovered wood.
Softwood = coniferous, hardwood = non-coniferous
For tables 1-13, data in italics are secretariat estimates or repeated data. All other data are from national sources and are of course estimates for the current and future year.
Countries with nil, missing or confidential data for all years on a table are not shown.

Table1

TABLE 1
SAWN SOFTWOOD SCIAGES CONIFERES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 6,141 4,978 4,978 10,104 8,588 8,588 1,784 1,270 1,270 5,747 4,880 4,880 Autriche
Cyprus 33 34 34 1 1 1 32 33 33 0 0 0 Chypre
Czech Republic 2,965 2,343 2,470 4,720 3,776 4,040 583 414 350 2,338 1,847 1,920 République tchèque
Estonia 2,068 1,550 1,550 1,725 1,500 1,500 1,209 700 700 866 650 650 Estonie
Finland 2,938 2,420 2,420 11,200 10,300 10,400 305 20 20 8,567 7,900 8,000 Finlande
France 8,633 8,750 8,800 7,168 7,200 7,300 2,350 2,450 2,400 885 900 900 France
Germany 17,294 14,900 13,300 24,309 21,400 19,800 4,146 2,700 3,000 11,162 9,200 9,500 Allemagne
Hungary 788 902 918 85 96 86 717 821 842 14 15 11 Hongrie
Italy 4,790 4,302 4,302 400 400 400 4,608 4,157 4,157 217 255 255 Italie
Latvia 1,025 950 950 3,102 3,000 3,000 829 750 750 2,906 2,800 2,800 Lettonie
Luxembourg 71 122 122 39 39 39 43 91 91 11 8 8 Luxembourg
Malta 7 9 9 0 0 0 7 9 9 0 0 0 Malte
Montenegro 30 30 29 118 115 112 10 9 7 98 94 90 Monténégro
Netherlands 2,259 2,088 2,029 115 115 115 2,659 2,473 2,399 515 500 485 Pays-Bas
Poland 4,631 4,630 4,800 4,144 4,100 4,200 1,219 1,240 1,300 732 710 700 Pologne
Portugal 696 686 685 807 815 820 130 130 125 242 259 260 Portugal
Serbia 367 361 383 91 95 98 281 270 290 5 4 5 Serbie
Slovakia 847 810 860 1,430 1,360 1,400 480 450 460 1,063 1,000 1,000 Slovaquie
Slovenia 665 670 660 983 990 980 530 530 530 848 850 850 Slovénie
Spain 4,029 4,001 4,001 3,006 3,189 3,189 1,166 956 956 143 144 144 Espagne
Sweden 5,709 5,050 5,650 18,870 18,400 18,300 587 500 450 13,748 13,850 13,100 Suède
Switzerland 1,271 1,300 1,325 1,186 1,200 1,210 300 310 320 215 210 205 Suisse
United Kingdom 8,663 8,125 8,214 3,108 2,860 2,860 5,719 5,385 5,474 165 120 120 Royaume-Uni
Total Europe 75,919 69,011 68,490 96,712 89,540 88,439 29,694 25,668 25,934 50,487 46,197 45,883 Total Europe
Uzbekistan 2,256 1,498 1,498 0 0 0 2,256 1,498 1,498 0 0 0 Ouzbékistan
Total EECCA Total EOCAC
Canada a 3,707 2,691 2,242 36,398 33,228 31,331 891 988 948 33,581 31,525 30,037 Canada a
United States a 87,925 87,155 88,151 64,039 64,178 64,399 26,202 25,492 26,149 2,316 2,515 2,397 Etats-Unis a
Total North America 91,632 89,846 90,393 100,437 97,406 95,730 27,093 26,480 27,097 35,898 34,040 32,434 Total Amérique du Nord
a converted from nominal to actual size using factor of 0.72 a convertis du dimension nominale au véritable avec une facteur du 0.72

Table2

TABLE 2
SAWN HARDWOOD (total) SCIAGES NON-CONIFERES (total)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 310 222 222 238 202 202 217 140 140 145 120 120 Autriche
Cyprus 11 7 7 0 0 0 11 7 7 0 0 0 Chypre
Czech Republic 324 245 240 222 167 175 136 103 105 34 24 40 République tchèque
Estonia 232 125 125 175 125 125 147 60 60 90 60 60 Estonie
Finland 84 44 44 73 40 40 34 24 24 23 20 20 Finlande
France 1,124 1,140 1,150 1,446 1,300 1,400 264 420 350 586 580 600 France
Germany 693 650 650 997 800 800 395 300 300 699 450 450 Allemagne
Hungary 258 150 131 414 343 342 45 38 30 200 231 241 Hongrie
Italy 798 776 776 500 500 500 637 578 578 339 302 302 Italie
Latvia 5 105 105 720 800 800 54 55 55 769 750 750 Lettonie
Luxembourg 96 98 98 39 39 39 64 65 65 7 6 6 Luxembourg
Malta 7 8 9 0 0 0 7 8 9 0 0 0 Malte
Montenegro 11 8 10 39 35 34 2 1 1 30 28 25 Monténégro
Netherlands 238 213 203 34 34 34 314 289 279 110 110 110 Pays-Bas
Poland 495 470 500 487 450 460 267 270 300 259 250 260 Pologne
Portugal 369 295 290 182 185 190 287 200 190 100 90 90 Portugal
Serbia 172 215 225 343 370 385 64 60 70 235 215 230 Serbie
Slovakia 235 240 275 385 400 420 55 50 55 205 210 200 Slovaquie
Slovenia 106 145 145 143 145 145 83 80 80 121 80 80 Slovénie
Spain 425 467 467 302 321 321 175 193 193 53 47 47 Espagne
Sweden 142 140 140 100 100 100 83 80 80 41 40 40 Suède
Switzerland 78 79 81 52 53 54 50 51 52 24 25 25 Suisse
United Kingdom 807 810 810 37 40 40 787 790 790 17 20 20 Royaume-Uni
Total Europe 7,019 6,652 6,703 6,928 6,449 6,606 4,177 3,862 3,813 4,086 3,658 3,716 Total Europe
Uzbekistan 228 208 208 195 195 195 33 16 16 0 3 3 Ouzbékistan
Total EECCA Total EOCAC
Canada 1,208 1,324 1,242 859 893 815 793 826 738 444 395 311 Canada
United States 14,647 14,835 15,217 17,637 17,827 18,214 798 805 820 3,788 3,797 3,817 Etats-Unis
Total North America 15,855 16,159 16,459 18,496 18,720 19,029 1,591 1,631 1,558 4,231 4,192 4,128 Total Amérique du Nord

Table 2a

TABLE 2a
SAWN HARDWOOD (temperate) SCIAGES NON-CONIFERES (zone tempérée)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 306 219 219 238 202 202 213 136 136 144 119 119 Autriche
Cyprus 9 5 5 0 0 0 8 5 5 0 0 0 Chypre
Czech Republic 307 229 223 222 167 175 119 86 88 34 24 40 République tchèque
Estonia 230 122 122 175 125 125 142 56 56 87 59 59 Estonie
Finland 80 40 40 73 40 40 26 16 16 19 16 16 Finlande
France 960 988 988 1,420 1,285 1,375 123 280 210 583 577 597 France
Germany 664 630 630 997 800 800 315 240 240 649 410 410 Allemagne
Hungary 257 147 127 414 343 342 43 35 26 200 230 241 Hongrie
Italy 819 791 791 495 495 495 476 423 423 152 127 127 Italie
Latvia 5 105 105 720 800 800 54 55 55 769 750 750 Lettonie
Luxembourg 92 96 96 39 39 39 60 63 63 7 6 6 Luxembourg
Malta 6 7 8 0 0 0 6 7 8 0 0 0 Malte
Montenegro 11 8 10 39 35 34 2 1 1 30 28 25 Monténégro
Netherlands 89 80 77 27 27 27 117 108 105 55 55 55 Pays-Bas
Poland 484 459 488 487 450 460 254 257 286 257 248 258 Pologne
Portugal 319 272 268 170 172 178 180 150 140 31 50 50 Portugal
Serbia 167 211 220 342 369 384 59 57 66 234 215 230 Serbie
Slovakia 235 240 275 385 400 420 55 50 55 205 210 200 Slovaquie
Slovenia 104 143 143 143 145 145 81 78 78 120 80 80 Slovénie
Spain 383 417 417 300 318 318 128 142 142 45 43 43 Espagne
Sweden 142 139 139 100 100 100 83 79 79 41 40 40 Suède
Switzerland 69 70 72 49 50 51 44 45 46 24 25 25 Suisse
United Kingdom 716 720 720 37 40 40 693 700 700 14 20 20 Royaume-Uni
Total Europe 6,453 6,138 6,183 6,872 6,402 6,550 3,281 3,069 3,025 3,700 3,334 3,392 Total Europe
Uzbekistan 227 207 207 195 195 195 33 15 15 0 3 3 Ouzbékistan
Total EECCA Total EOCAC
Canada 1,191 1,316 1,236 859 893 815 762 805 715 430 382 294 Canada
United States 14,379 14,578 14,957 17,637 17,827 18,214 523 529 544 3,782 3,778 3,801 Etats-Unis
Total North America 15,569 15,893 16,193 18,496 18,720 19,029 1,285 1,334 1,259 4,212 4,160 4,095 Total Amérique du Nord

Table 2b

5.NC.T
TABLE 2b
SAWN HARDWOOD (tropical) SCIAGES NON-CONIFERES (tropicale)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 3 3 3 0 0 0 4 4 4 1 1 1 Autriche
Bulgaria 0 0 0 0 0 0 0 0 0 0 0 0 Bulgarie
Cyprus 3 2 2 0 0 0 3 2 2 0 0 0 Chypre
Czech Republic 17 17 17 0 0 0 17 17 17 0 0 0 République tchèque
Estonia 2 3 3 0 0 0 5 4 4 3 1 1 Estonie
Finland 4 4 4 0 0 0 8 8 8 4 4 4 Finlande
France 164 152 162 26 15 25 141 140 140 3 3 3 France
Germany 29 20 20 0 0 0 79 60 60 50 40 40 Allemagne
Hungary 2 3 4 0 0 0 2 4 4 0 0 0 Hongrie
Italy -21 -15 -15 5 5 5 161 154 154 187 175 175 Italie
Luxembourg 4 2 2 0 0 0 4 2 2 0 0 0 Luxembourg
Malta 1 1 1 0 0 0 1 1 1 0 0 0 Malte
Netherlands 149 133 126 7 7 7 197 181 174 55 55 55 Pays-Bas
Poland 10 11 12 0 0 0 12 13 14 2 2 2 Pologne
Portugal 50 23 22 12 13 12 107 50 50 69 40 40 Portugal
Serbia 5 4 5 1 1 1 5 3 4 1 0 0 Serbie
Slovenia 2 2 2 0 0 0 2 2 2 0 0 0 Slovénie
Spain 42 49 49 2 2 2 47 50 50 7 4 4 Espagne
Sweden 1 1 1 0 0 0 1 1 1 0 0 0 Suède
Switzerland 9 9 9 3 3 3 6 6 6 0 0 0 Suisse
United Kingdom 91 90 90 0 0 0 94 90 90 3 0 0 Royaume-Uni
Total Europe 566 515 519 56 46 55 896 793 788 386 324 324 Total Europe
Canada 17 8 7 0 0 0 31 21 23 14 13 16 Canada
United States 269 257 260 0 0 0 275 276 276 6 19 16 Etats-Unis
Total North America 286 266 266 0 0 0 305 297 299 20 31 32 Total Amérique du Nord

Table 3

TABLE 3
VENEER SHEETS FEUILLES DE PLACAGE
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 74 39 39 8 8 8 83 45 45 17 14 14 Autriche
Cyprus 1 1 1 0 0 0 1 1 1 0 0 0 Chypre
Czech Republic 28 28 27 28 16 17 58 53 50 58 41 40 République tchèque
Estonia 111 125 125 105 110 110 87 95 95 82 80 80 Estonie
Finland 27 21 21 190 160 160 12 10 10 175 149 149 Finlande
France 366 366 366 157 157 157 273 273 273 64 64 64 France
Germany 157 143 125 110 105 105 99 78 70 52 40 50 Allemagne
Hungary 23 25 20 13 18 13 39 39 39 28 31 32 Hongrie
Italy 344 308 308 107 107 107 274 234 234 37 33 33 Italie
Latvia 105 105 105 40 50 50 140 140 140 75 85 85 Lettonie
Luxembourg 1 0 0 0 0 0 1 0 0 0 0 0 Luxembourg
Malta 1 2 3 0 0 0 1 2 3 0 0 0 Malte
Netherlands 15 13 13 0 0 0 17 15 15 3 3 3 Pays-Bas
Poland 121 121 129 45 42 45 92 94 98 16 15 14 Pologne
Portugal 12 20 35 20 30 25 38 40 50 46 50 40 Portugal
Serbia 4 4 5 30 28 30 8 6 8 34 30 33 Serbie
Slovakia 17 25 25 21 25 25 27 30 30 31 30 30 Slovaquie
Slovenia 9 8 9 28 27 25 13 14 14 32 33 30 Slovénie
Spain 122 92 92 40 36 36 127 90 90 45 34 34 Espagne
Sweden 32 31 31 60 50 50 19 10 10 47 29 29 Suède
Switzerland 3 3 3 0 0 0 4 4 4 1 1 1 Suisse
United Kingdom 6 10 10 0 0 0 7 10 10 1 0 0 Royaume-Uni
Total Europe 1,577 1,490 1,491 1,002 969 962 1,419 1,283 1,288 843 762 760 Total Europe
Uzbekistan 4 4 4 3 3 3 2 1 1 0 0 0 Ouzbékistan
Total EECCA 0 Total EOCAC
Canada 204 262 267 581 581 581 212 218 230 590 537 544 Canada
United States 2,643 2,670 2,699 2,284 2,306 2,329 652 658 664 293 294 294 Etats-Unis
Total North America 2,847 2,932 2,966 2,866 2,887 2,910 864 876 894 883 831 838 Total Amérique du Nord
Note: Definition of veneers excludes domestic use for plywood.
La définition des placages exclus la conversion directe en contreplaqué.

Table 4

TABLE 4
PLYWOOD CONTREPLAQUES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 19 15 15 131 155 155 183 150 150 296 290 290 Autriche
Cyprus 14 15 15 0 0 0 14 15 15 0 0 0 Chypre
Czech Republic 193 116 123 240 236 238 230 115 115 277 235 230 République tchèque
Estonia 145 50 50 200 210 210 151 50 50 205 210 210 Estonie
Finland 297 240 240 1,110 940 940 87 60 60 900 760 760 Finlande
France 589 583 583 253 270 270 476 452 452 140 139 139 France
Germany 1,073 1,154 840 85 80 80 1,319 1,281 1,000 330 207 240 Allemagne
Hungary 136 110 107 60 61 63 138 138 138 62 90 94 Hongrie
Italy 602 537 537 288 290 290 525 442 442 211 195 195 Italie
Latvia 92 55 55 331 300 300 94 95 95 333 340 340 Lettonie
Luxembourg 33 29 29 0 0 0 33 29 29 0 0 0 Luxembourg
Malta 10 11 12 0 0 0 10 11 12 0 0 0 Malte
Montenegro 2 2 2 1 1 1 2 2 2 1 1 1 Monténégro
Netherlands 488 457 441 0 0 0 586 551 529 98 94 88 Pays-Bas
Poland 650 640 670 539 515 530 468 475 480 357 350 340 Pologne
Portugal 154 180 166 103 100 110 95 110 100 44 30 44 Portugal
Serbia 40 36 38 19 18 19 34 30 33 13 12 14 Serbie
Slovakia 67 63 63 153 150 150 59 59 59 146 146 146 Slovaquie
Slovenia 49 50 58 94 90 98 26 30 30 71 70 70 Slovénie
Spain 231 326 326 462 416 416 132 117 117 363 207 207 Espagne
Sweden 278 160 160 90 90 90 236 120 120 48 50 50 Suède
Switzerland 206 206 206 7 7 7 203 203 203 4 4 4 Suisse
United Kingdom 1,254 1,180 1,180 0 0 0 1,320 1,250 1,250 66 70 70 Royaume-Uni
Total Europe 6,623 6,215 5,916 4,166 3,930 3,967 6,422 5,786 5,482 3,965 3,501 3,532 Total Europe
Uzbekistan 62 46 46 0 0 0 63 47 47 0 0 0 Ouzbékistan
Total EECCA 0 Total EOCAC
Canada 2,174 2,028 2,123 1,604 1,557 1,526 1,224 1,058 1,241 654 587 644 Canada
United States 14,742 14,890 15,188 9,254 9,345 9,528 6,259 6,317 6,436 771 772 776 Etats-Unis
Total North America 16,916 16,918 17,311 10,858 10,902 11,054 7,483 7,375 7,677 1,425 1,359 1,420 Total Amérique du Nord

Table 5

TABLE 5
PARTICLE BOARD (excluding OSB) PANNEAUX DE PARTICULES (ne comprennent pas l'OSB)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 951 630 630 2,280 2,170 2,170 313 355 355 1,642 1,895 1,895 Autriche
Cyprus 49 46 46 0 0 0 49 46 46 0 0 0 Chypre
Czech Republic 793 811 835 962 866 910 530 484 485 699 538 560 République tchèque
Estonia 123 67 67 90 0 0 77 68 68 44 2 1 Estonie
Finland 113 75 75 54 54 54 85 44 44 26 23 23 Finlande
France 2,224 2,148 2,148 3,177 3,094 3,094 299 355 355 1,253 1,301 1,301 France
Germany 5,572 5,220 4,970 5,526 5,195 5,020 1,970 1,934 1,900 1,924 1,909 1,950 Allemagne
Hungary 408 384 379 447 428 438 264 282 272 303 326 331 Hongrie
Italy 3,070 2,813 2,813 2,646 2,500 2,500 956 821 821 532 508 508 Italie
Latvia 52 85 85 306 300 300 69 25 25 322 240 240 Lettonie
Luxembourg 20 12 12 0 0 0 21 13 13 1 1 1 Luxembourg
Malta 10 11 11 0 0 0 10 11 11 0 0 0 Malte
Montenegro 32 33 34 0 0 0 32 33 34 0 0 0 Monténégro
Netherlands 464 440 432 0 0 0 514 488 479 50 48 47 Pays-Bas
Poland 6,501 6,450 6,740 5,227 5,150 5,450 2,173 2,180 2,200 899 880 910 Pologne
Portugal 537 473 514 766 750 760 281 300 290 510 577 536 Portugal
Serbia 373 351 371 219 210 220 196 184 198 42 43 47 Serbie
Slovakia 352 343 340 676 675 675 148 140 137 473 473 472 Slovaquie
Slovenia 137 110 110 0 0 0 143 114 114 6 4 4 Slovénie
Spain 2,392 2,213 2,213 2,566 2,310 2,310 626 621 621 800 718 718 Espagne
Sweden 1,055 868 868 636 600 600 475 335 335 57 67 67 Suède
Switzerland 281 286 286 420 425 425 141 141 141 280 280 280 Suisse
United Kingdom 2,606 2,542 2,542 2,012 1,982 1,982 648 610 610 55 50 50 Royaume-Uni
Total Europe 28,115 26,410 26,521 28,012 26,710 26,908 10,021 9,584 9,555 9,917 9,883 9,942 Total Europe
Uzbekistan 880 542 542 252 252 252 654 317 317 26 27 27 Ouzbékistan
Total EECCA 27 Total EOCAC
Canada 1,466 1,886 1,894 1,625 2,032 2,012 552 504 491 710 650 609 Canada
United States 5,196 5,565 5,562 4,488 4,552 4,534 1,193 1,465 1,487 485 452 459 Etats-Unis
Total North America 6,663 7,451 7,456 6,113 6,584 6,546 1,745 1,969 1,978 1,195 1,102 1,068 Total Amérique du Nord
Data are calculated by subtracting OSB from the particleboard/OSB total - les données sont calculées en soustrayant les OSB du total des panneaux de particules et OSB.

Table 5a

TABLE 5a
ORIENTED STRAND BOARD (OSB) PANNEAUX STRUCTURAUX ORIENTES (OSB)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 205 135 135 0 0 0 212 140 140 7 5 5 Autriche
Cyprus 11 14 14 0 0 0 11 14 14 0 0 0 Chypre
Czech Republic 380 342 350 689 620 655 126 113 115 435 392 420 République tchèque
Estonia 55 32 32 0 0 0 55 32 32 1 0 0 Estonie
Finland 56 56 56 0 0 0 56 56 56 0 0 0 Finlande
France 427 522 522 302 406 406 222 165 165 96 49 49 France
Germany 1,316 1,238 1,130 1,164 1,105 1,080 679 669 600 526 536 550 Allemagne
Hungary 133 147 152 379 419 443 56 60 59 302 331 350 Hongrie
Italy 346 287 287 100 100 100 346 274 274 100 87 87 Italie
Latvia 196 165 165 674 650 650 76 75 75 554 560 560 Lettonie
Luxembourg 110 135 135 338 338 338 6 14 14 234 217 217 Luxembourg
Montenegro 2 2 2 0 0 0 2 2 2 0 0 0 Monténégro
Netherlands 222 222 227 0 0 0 286 286 292 64 64 65 Pays-Bas
Poland 655 650 760 647 650 750 302 320 350 294 320 340 Pologne
Portugal 46 37 41 0 0 0 50 40 45 4 3 4 Portugal
Serbia 40 35 41 0 0 0 41 36 42 1 1 1 Serbie
Slovakia 48 58 60 0 0 0 48 60 63 1 3 3 Slovaquie
Slovenia 31 24 24 0 0 0 33 26 26 2 2 2 Slovénie
Spain 26 15 15 3 3 3 35 33 33 12 20 20 Espagne
Sweden 94 92 92 0 0 0 97 95 95 3 3 3 Suède
Switzerland 95 95 95 0 0 0 96 96 96 1 1 1 Suisse
United Kingdom 773 758 758 598 598 598 365 350 350 190 190 190 Royaume-Uni
Total Europe 5,268 5,060 5,092 4,894 4,888 5,023 3,200 2,956 2,938 2,826 2,784 2,868 Total Europe
Uzbekistan 7 5 5 0 0 0 7 5 5 0 0 0 Ouzbékistan
Total EECCA 0 Total EOCAC
Canada 1,546 1,253 1,153 7,270 6,820 6,798 82 65 61 5,806 5,632 5,706 Canada
United States 19,658 19,834 20,197 13,592 13,783 14,059 6,198 6,236 6,326 132 185 188 Etats-Unis
Total North America 21,204 21,087 21,350 20,862 20,603 20,857 6,280 6,301 6,387 5,938 5,817 5,894 Total Amérique du Nord

Table 6

TABLE 6
FIBREBOARD PANNEAUX DE FIBRES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 421 386 386 470 395 395 331 308 308 381 316 316 Autriche
Cyprus 20 15 16 0 0 0 20 15 16 0 0 0 Chypre
Czech Republic 328 276 280 41 41 42 438 347 360 151 112 122 République tchèque
Estonia 70 46 47 75 40 40 65 46 47 70 40 40 Estonie
Finland 139 105 105 44 44 44 141 102 102 46 41 41 Finlande
France 828 915 915 1,238 1,035 1,035 721 772 772 1,130 892 892 France
Germany 3,791 3,437 3,325 5,194 4,900 4,800 1,590 1,543 1,470 2,993 3,006 2,945 Allemagne
Hungary 9 -17 -13 21 0 0 204 235 244 215 253 258 Hongrie
Italy 1,862 1,661 1,661 827 818 818 1,281 974 974 245 131 131 Italie
Latvia 60 50 40 48 50 50 62 65 65 50 65 75 Lettonie
Luxembourg 100 90 90 147 147 147 34 19 19 80 76 76 Luxembourg
Malta 6 7 7 0 0 0 6 7 7 0 0 0 Malte
Montenegro 32 32 33 0 0 0 32 32 33 0 0 0 Monténégro
Netherlands 332 310 296 29 29 29 465 431 412 162 150 145 Pays-Bas
Poland 3,808 3,765 4,020 4,960 4,920 5,080 590 585 630 1,743 1,740 1,690 Pologne
Portugal 534 485 529 526 520 560 338 315 335 330 350 366 Portugal
Serbia 74 74 88 19 20 22 71 73 88 16 19 22 Serbie
Slovakia 210 218 223 0 0 0 248 256 262 39 38 39 Slovaquie
Slovenia 24 15 15 132 120 125 28 25 30 136 130 140 Slovénie
Spain 920 894 894 1,430 1,287 1,287 462 355 355 972 748 748 Espagne
Sweden 301 260 260 0 0 0 425 360 360 124 100 100 Suède
Switzerland 238 238 238 97 97 97 308 308 308 167 167 167 Suisse
United Kingdom 1,692 1,630 1,630 856 850 850 895 840 840 60 60 60 Royaume-Uni
Total Europe 15,799 14,892 15,085 16,153 15,313 15,421 8,755 8,013 8,037 9,110 8,434 8,373 Total Europe
Uzbekistan 1,092 809 809 47 47 47 1,057 771 771 13 9 9 Ouzbékistan
Total EECCA Total EOCAC
Canada 1,236 1,183 1,181 1,277 1,288 1,299 818 628 605 859 733 723 Canada
United States 8,684 8,749 8,888 6,362 6,420 6,571 3,359 3,289 3,310 1,038 960 993 Etats-Unis
Total North America 9,920 9,932 10,069 7,639 7,708 7,870 4,177 3,917 3,915 1,896 1,693 1,716 Total Amérique du Nord

Table 6a

TABLE 6a
HARDBOARD PANNEAUX DURS
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 29 28 28 54 43 43 18 16 16 43 32 32 Autriche
Cyprus 2 1 2 0 0 0 2 1 2 0 0 0 Chypre
Czech Republic 43 45 45 0 0 0 61 59 60 18 14 15 République tchèque
Estonia 23 15 19 0 0 0 30 16 20 7 1 1 Estonie
Finland 23 21 21 44 44 44 21 15 15 41 38 38 Finlande
France 55 55 55 221 221 221 207 207 207 373 373 373 France
Germany 176 183 165 0 0 0 200 203 180 23 20 15 Allemagne
Hungary 27 41 45 2 0 0 65 81 85 40 40 40 Hongrie
Italy 280 280 280 16 16 16 283 283 283 19 19 19 Italie
Latvia 1 5 5 15 15 15 18 20 20 32 30 30 Lettonie
Luxembourg -31 -12 -12 0 0 0 3 8 8 34 20 20 Luxembourg
Montenegro 1 1 1 0 0 0 1 1 1 0 0 0 Monténégro
Netherlands 44 41 39 0 0 0 63 58 56 19 17 17 Pays-Bas
Poland -179 -120 -50 80 80 80 88 100 120 347 300 250 Pologne
Portugal 50 30 39 0 0 0 61 40 50 11 10 11 Portugal
Serbia 39 35 38 19 20 22 33 31 34 13 16 18 Serbie
Slovakia 21 20 21 0 0 0 21 21 22 1 1 1 Slovaquie
Slovenia -1 0 1 0 0 0 4 2 4 4 2 3 Slovénie
Spain 17 15 15 32 29 29 46 46 46 61 60 60 Espagne
Sweden 47 30 30 0 0 0 116 110 110 70 80 80 Suède
Switzerland 19 19 19 0 0 0 24 24 24 5 5 5 Suisse
United Kingdom 101 90 90 0 0 0 110 100 100 9 10 10 Royaume-Uni
Total Europe 787 822 895 482 468 470 1,474 1,441 1,463 1,169 1,087 1,037 Total Europe
Uzbekistan 89 50 50 0 0 0 90 50 50 0 0 0 Ouzbékistan
Total EECCA Total EOCAC
Canada 33 47 42 90 90 90 52 27 28 109 70 76 Canada
United States 481 509 514 437 504 509 259 255 258 215 250 253 Etats-Unis
Total North America 514 556 556 527 594 599 311 282 286 324 320 329 Total Amérique du Nord

Table 6b

TABLE 6b
MDF/HDF
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 260 230 230 416 351 351 177 160 160 333 281 281 Autriche
Cyprus 16 12 12 0 0 0 16 12 12 0 0 0 Chypre
Czech Republic 199 157 160 41 41 42 180 135 140 22 19 22 République tchèque
Estonia 18 21 18 0 0 0 33 28 25 15 7 7 Estonie
Finland 82 67 67 0 0 0 86 70 70 4 3 3 Finlande
France 708 794 794 954 751 751 337 388 388 583 345 345 France
Germany 1,870 1,728 1,720 3,792 3,700 3,650 424 395 370 2,345 2,367 2,300 Allemagne
Hungary -39 -65 -62 0 0 0 136 148 156 175 213 218 Hongrie
Italy 1,501 1,299 1,299 809 800 800 913 606 606 221 107 107 Italie
Latvia 52 40 30 33 35 35 22 25 25 2 20 30 Lettonie
Luxembourg 128 98 98 147 147 147 27 7 7 46 56 56 Luxembourg
Malta 5 5 5 0 0 0 5 5 5 0 0 0 Malte
Montenegro 31 31 32 0 0 0 31 31 32 0 0 0 Monténégro
Netherlands 220 205 196 0 0 0 361 336 322 141 131 126 Pays-Bas
Poland 3,066 3,020 3,130 3,052 3,030 3,100 470 450 470 456 460 440 Pologne
Portugal 447 440 465 494 500 530 257 260 265 305 320 330 Portugal
Serbia 31 35 46 0 0 0 34 38 50 3 3 4 Serbie
Slovakia 135 135 135 0 0 0 170 170 170 35 35 35 Slovaquie
Slovenia 24 15 14 132 120 125 24 23 26 131 128 137 Slovénie
Spain 835 821 821 1,334 1,201 1,201 397 302 302 897 682 682 Espagne
Sweden 254 225 225 0 0 0 284 230 230 30 5 5 Suède
Switzerland 24 24 24 97 97 97 88 88 88 161 161 161 Suisse
United Kingdom 1,553 1,510 1,510 856 850 850 739 700 700 42 40 40 Royaume-Uni
Total Europe 11,419 10,847 10,969 12,157 11,623 11,679 5,210 4,606 4,618 5,948 5,382 5,328 Total Europe
Uzbekistan 671 513 513 46 46 46 629 469 469 3 2 2 Ouzbékistan
Total EECCA Total EOCAC
Canada 1,053 999 1,005 1,087 1,098 1,109 608 472 449 641 570 553 Canada
United States 5,156 5,228 5,226 2,746 2,778 2,786 2,939 2,874 2,866 529 424 426 Etats-Unis
Total North America 6,209 6,227 6,231 3,833 3,876 3,895 3,547 3,346 3,315 1,170 994 979 Total Amérique du Nord

Table 6c

TABLE 6c
OTHER FIBREBOARD AUTRES PANNEAUX DE FIBRES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 131 128 128 0 0 0 136 132 132 4 3 3 Autriche
Cyprus 2 2 2 0 0 0 3 2 2 0 0 0 Chypre
Czech Republic 86 74 75 0 0 0 197 154 160 111 80 85 République tchèque
Estonia 29 10 10 75 40 40 3 2 2 49 32 32 Estonie
Finland 33 17 17 0 0 0 34 17 17 0 0 0 Finlande
France 65 66 66 63 63 63 177 177 177 174 174 174 France
Germany 1,745 1,526 1,440 1,402 1,200 1,150 966 945 920 624 619 630 Allemagne
Hungary 21 7 4 19 0 0 3 7 4 0 0 0 Hongrie
Italy 82 82 82 3 3 3 85 85 85 6 6 6 Italie
Latvia 7 5 5 0 0 0 23 20 20 16 15 15 Lettonie
Luxembourg 4 4 4 0 0 0 4 4 4 0 0 0 Luxembourg
Malta 1 2 2 0 0 0 1 2 2 0 0 0 Malte
Netherlands 68 64 61 29 29 29 41 37 34 2 2 2 Pays-Bas
Poland 920 865 940 1,828 1,810 1,900 33 35 40 940 980 1,000 Pologne
Portugal 37 15 25 32 20 30 20 15 20 15 20 25 Portugal
Serbia 4 4 4 0 0 0 4 4 4 0 0 0 Serbie
Slovakia 54 63 67 0 0 0 57 65 70 3 2 3 Slovaquie
Slovenia 0 0 0 0 0 0 0 0 0 0 0 0 Slovénie
Spain 69 59 59 64 58 58 20 7 7 15 6 6 Espagne
Sweden 0 5 5 0 0 0 25 20 20 24 15 15 Suède
Switzerland 195 195 195 0 0 0 196 196 196 1 1 1 Suisse
United Kingdom 38 30 30 0 0 0 47 40 40 9 10 10 Royaume-Uni
Total Europe 3,592 3,223 3,221 3,514 3,222 3,272 2,071 1,965 1,956 1,993 1,965 2,007 Total Europe
Uzbekistan 331 246 246 2 2 2 339 252 252 10 7 7 Ouzbékistan
Total EECCA Total EOCAC
Canada 150 137 134 100 100 100 158 129 128 108 92 94 Canada
United States 3,047 3,012 3,148 3,179 3,138 3,276 161 160 186 294 286 314 Etats-Unis
Total North America 3,196 3,149 3,282 3,279 3,238 3,376 319 289 314 402 378 408 Total Amérique du Nord

Table 7

TABLE 7
WOOD PULP PATE DE BOIS
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 mt
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 2,209 1,950 2,030 1,977 1,700 1,800 630 610 630 399 360 400 Autriche
Czech Republic 847 688 700 640 525 540 324 259 260 117 96 100 République tchèque
Estonia 70 75 80 227 180 180 42 50 50 199 155 150 Estonie
Finland a 5,468 4,483 4,614 9,200 8,690 9,360 355 150 150 4,087 4,357 4,896 Finlande a
France 2,898 2,420 2,500 1,666 1,300 1,350 1,715 1,450 1,500 483 330 350 France
Germany 5,092 4,600 5,000 2,172 1,850 2,000 4,173 3,900 4,200 1,253 1,150 1,200 Allemagne
Hungary 205 206 214 66 77 87 141 133 131 3 3 4 Hongrie
Italy 3,466 3,466 3,466 223 223 223 3,536 3,536 3,536 293 293 293 Italie
Latvia 7 7 7 12 13 13 7 7 7 12 13 13 Lettonie
Netherlands 443 442 442 37 37 37 1,717 1,717 1,717 1,312 1,312 1,312 Pays-Bas
Poland 2,836 2,830 2,930 1,729 1,710 1,750 1,291 1,300 1,320 183 180 140 Pologne
Portugal 1,757 1,735 1,760 2,869 2,870 2,870 140 145 150 1,252 1,280 1,260 Portugal
Serbia 82 88 92 0 0 0 82 88 92 0 0 0 Serbie
Slovakia 700 700 715 692 700 725 173 170 170 166 170 180 Slovaquie
Slovenia 322 321 316 73 63 68 249 260 250 1 2 2 Slovénie
Spain 1,520 1,328 1,328 1,120 1,120 1,120 1,176 976 976 775 768 768 Espagne
Sweden 8,438 7,600 7,950 11,631 10,900 11,400 641 600 600 3,834 3,900 4,050 Suède
Switzerland 188 188 188 87 87 87 101 101 101 0 0 0 Suisse
United Kingdom 1,057 940 950 220 200 200 838 740 750 1 0 0 Royaume-Uni
Total Europe 37,604 34,067 35,282 34,641 32,244 33,809 17,333 16,193 16,590 14,369 14,369 15,118 Total Europe
Uzbekistan 38 28 28 1 1 1 37 28 28 0 0 0 Ouzbékistan
Total EECCA Total EOCAC
Canada 6,007 5,851 5,616 14,200 13,102 12,638 472 582 640 8,665 7,833 7,662 Canada
United States 39,787 42,269 42,815 40,822 41,230 41,478 6,948 7,643 8,254 7,983 6,603 6,917 Etats-Unis
Total North America 45,794 48,121 48,431 55,022 54,332 54,116 7,420 8,224 8,894 16,648 14,436 14,579 Total Amérique du Nord
a imports exclude dissolving pulp a les importations excluent pâte à dissoudre

Table 8

TABLE 8
PAPER AND PAPERBOARD PAPIERS ET CARTONS
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 mt
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 2,133 1,750 2,050 4,633 3,500 4,000 1,231 1,050 1,150 3,730 2,800 3,100 Autriche
Cyprus 56 48 48 0 0 0 56 48 48 0 0 0 Chypre
Czech Republic 1,467 1,234 1,258 938 769 785 1,531 1,286 1,312 1,002 822 838 République tchèque
Estonia 120 111 111 57 35 35 123 102 102 59 26 26 Estonie
Finland 514 475 460 7,200 5,990 6,150 333 275 280 7,019 5,790 5,970 Finlande
France 8,272 7,290 7,400 7,092 6,240 6,600 4,845 4,650 4,600 3,665 3,600 3,800 France
Germany 17,836 14,600 17,000 21,612 17,500 21,000 9,302 8,000 9,500 13,078 10,900 13,500 Allemagne
Hungary 1,213 1,167 1,212 1,057 1,003 1,034 877 892 898 720 727 721 Hongrie
Italy 11,390 11,390 11,390 8,696 8,696 8,696 5,800 5,800 5,800 3,106 3,106 3,106 Italie
Latvia 168 175 175 29 30 30 173 180 180 33 35 35 Lettonie
Luxembourg 26 14 14 0 0 0 27 15 15 1 1 1 Luxembourg
Malta 26 27 28 0 0 0 26 27 28 0 0 0 Malte
Netherlands 2,814 2,760 2,760 2,884 2,827 2,827 2,180 2,096 2,096 2,250 2,163 2,163 Pays-Bas
Poland 7,532 7,400 7,550 5,237 5,130 5,250 4,869 4,870 4,950 2,574 2,600 2,650 Pologne
Portugal 1,090 1,200 1,240 2,123 2,200 2,240 948 940 945 1,981 1,940 1,945 Portugal
Serbia 790 762 778 483 481 490 514 490 500 207 209 212 Serbie
Slovakia 565 575 600 967 975 1,000 457 450 475 859 850 875 Slovaquie
Slovenia 412 390 390 591 500 500 367 390 390 545 500 500 Slovénie
Spain 7,060 6,778 6,778 6,355 6,355 6,355 2,997 2,577 2,577 2,291 2,154 2,154 Espagne
Sweden 834 700 750 8,531 7,300 8,100 894 700 750 8,591 7,300 8,100 Suède
Switzerland 1,020 1,015 1,010 1,160 1,155 1,150 640 635 630 780 775 770 Suisse
United Kingdom 7,420 6,280 6,440 3,460 3,190 3,250 5,015 4,150 4,250 1,055 1,060 1,060 Royaume-Uni
Total Europe 72,758 66,140 69,442 83,103 73,876 79,492 43,204 39,623 41,476 53,549 47,358 51,526 Total Europe
Uzbekistan 335 297 297 142 142 142 214 171 171 21 17 17 Ouzbékistan
Total EECCA Total EOCAC
Canada 5,505 6,069 6,231 9,094 9,124 9,155 2,516 2,242 2,235 6,105 5,298 5,159 Canada
United States 64,243 62,896 63,029 65,959 64,476 64,476 8,202 8,180 8,159 9,917 9,761 9,606 Etats-Unis
Total North America 69,748 68,964 69,260 75,053 73,600 73,631 10,718 10,423 10,395 16,023 15,059 14,765 Total Amérique du Nord

Table 9

TABLE 9
REMOVALS OF WOOD IN THE ROUGH QUANTITES ENLEVEES DE BOIS BRUT
TOTAL TOTAL
1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
Country Industrial wood - Bois industriels Wood fuel c Bois de chauffage c Pays
Total Logs Pulpwood a Other b Total
Grumes Bois de trituration a Autre b
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 13,935 11,716 12,225 10,711 8,904 9,338 3,223 2,812 2,887 0 0 0 5,424 5,115 5,234 19,359 16,831 17,459 Autriche
Cyprus 3 2 2 2 2 2 0 0 0 0 0 0 11 9 8 14 11 10 Chypre
Czech Republic 20,708 15,535 14,897 14,635 10,617 10,106 5,965 4,804 4,675 108 113 115 4,405 3,965 3,900 25,113 19,499 18,797 République tchèque
Estonia 6,474 6,401 6,401 4,276 4,200 4,200 2,148 2,150 2,150 51 51 51 4,066 3,800 3,800 10,541 10,201 10,201 Estonie
Finland 56,246 53,397 55,435 25,699 22,749 23,412 30,547 30,648 32,023 0 0 0 9,340 9,340 9,340 65,586 62,737 64,775 Finlande
France 25,648 25,270 25,070 17,198 17,200 17,300 7,891 7,500 7,200 559 570 570 24,173 24,500 25,600 49,821 49,770 50,670 France
Germany 56,534 53,930 49,630 44,756 41,200 39,500 11,644 12,600 10,000 135 130 130 22,338 22,700 22,700 78,872 76,630 72,330 Allemagne
Hungary 2,901 2,881 2,881 1,410 1,374 1,399 912 995 1,008 579 512 475 3,626 3,284 3,397 6,527 6,165 6,278 Hongrie
Italy 2,838 3,540 3,540 1,890 1,890 1,890 316 1,018 1,018 632 632 632 10,839 10,839 10,839 13,677 14,379 14,379 Italie
Latvia 12,491 12,150 12,350 7,603 7,250 7,450 3,868 3,800 3,800 1,020 1,100 1,100 2,936 3,000 3,000 15,427 15,150 15,350 Lettonie
Luxembourg 231 197 193 147 144 133 56 38 38 27 15 22 40 45 43 271 242 235 Luxembourg
Montenegro 751 697 678 515 492 487 201 198 186 35 7 5 194 193 190 945 890 868 Monténégro
Netherlands 614 599 589 221 220 215 352 340 335 41 39 39 2,382 2,380 2,385 2,996 2,979 2,974 Pays-Bas
Poland 38,735 39,880 40,850 18,533 18,800 19,150 19,350 20,100 20,550 852 980 1,150 6,958 7,420 7,750 45,693 47,300 48,600 Pologne
Portugal 12,235 12,330 12,190 2,038 2,040 2,060 9,799 9,850 9,700 399 440 430 2,383 2,380 2,300 14,619 14,710 14,490 Portugal
Serbia 1,478 1,520 1,561 1,077 1,104 1,130 265 275 283 136 141 148 6,574 6,646 6,760 8,052 8,166 8,321 Serbie
Slovakia 6,827 6,820 6,880 4,130 4,080 4,100 2,672 2,710 2,750 25 30 30 609 610 650 7,435 7,430 7,530 Slovaquie
Slovenia 2,928 3,752 3,482 2,184 2,780 2,600 698 920 830 45 52 52 1,149 1,290 1,270 4,076 5,042 4,752 Slovénie
Spain 14,366 15,244 15,244 4,150 4,404 4,404 9,813 10,413 10,413 403 427 427 3,555 3,772 3,772 17,921 19,016 19,016 Espagne
Sweden 71,165 69,076 69,310 38,280 37,480 37,080 32,585 31,296 31,930 300 300 300 6,000 6,016 6,016 77,165 75,092 75,326 Suède
Switzerland 3,011 3,082 3,142 2,555 2,625 2,680 444 445 450 12 12 12 1,938 2,000 2,025 4,949 5,082 5,167 Suisse
United Kingdom 7,604 7,193 7,193 5,509 5,236 5,236 1,646 1,529 1,529 448 428 428 2,184 2,184 2,184 9,788 9,377 9,377 Royaume-Uni
Total Europe 357,723 345,212 343,742 207,519 194,791 193,872 144,397 144,441 143,754 5,807 5,980 6,116 121,124 121,488 123,163 478,847 466,699 466,905 Total Europe
Canada 142,131 140,499 140,499 124,900 123,350 123,350 15,040 14,864 14,864 2,190 2,285 2,285 1,683 1,908 1,908 143,814 142,407 142,407 Canada
United States 382,544 384,963 388,611 186,157 188,221 191,211 182,650 182,996 183,637 13,737 13,746 13,763 76,230 76,240 76,278 458,774 461,203 464,889 Etats-Unis
Total North America 524,675 525,462 529,110 311,057 311,571 314,561 197,690 197,861 198,501 15,927 16,031 16,048 77,913 78,148 78,186 602,587 603,610 607,296 Total Amérique du Nord
a Pulpwood, round and split, as well as chips and particles produced directly a Bois de trituration, rondins et quartiers, ainse que plaquettes et particules fabriquées
therefrom and used as pulpwood directement à partir des rondins et quartiers et utilisées comme bois de trituration
b Pitprops, poles, piling, posts etc. b Bois de mine, poteaux, pilotis, piquets etc.
c Including chips and particles produced from wood in the rough and c Y compris plaquettes et particules fabriquées à partir du bois brut et utilisées
used for energy purposes à des fins energétiques

Table 9a

TABLE 9a
REMOVALS OF WOOD IN THE ROUGH QUANTITES ENLEVEES DE BOIS BRUT
SOFTWOOD CONIFERES
1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
Country Industrial wood - Bois industriels Wood fuel c Bois de chauffage c Pays
Total Logs Pulpwood a Other b Total
Grumes Bois de trituration a Autre b
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 12,958 10,873 11,338 10,382 8,638 9,038 2,576 2,235 2,300 0 0 0 3,248 3,069 3,140 16,206 13,942 14,478 Autriche
Cyprus 2 2 2 2 2 2 0 0 0 0 0 0 10 8 7 12 10 9 Chypre
Czech Republic 19,440 14,455 13,825 14,019 10,094 9,589 5,316 4,253 4,125 105 109 111 3,610 3,249 3,200 23,050 17,704 17,025 République tchèque
Estonia 4,023 3,927 3,927 3,118 3,000 3,000 878 900 900 26 27 27 1,486 1,400 1,400 5,509 5,327 5,327 Estonie
Finland 47,408 45,464 47,590 24,662 21,700 22,351 22,746 23,764 25,239 0 0 0 4,593 4,593 4,593 52,001 50,057 52,183 Finlande
France 17,300 17,070 16,770 12,491 12,500 12,500 4,559 4,300 4,000 250 270 270 2,417 2,500 2,600 19,717 19,570 19,370 France
Germany 52,425 50,120 46,120 41,761 38,500 37,000 10,541 11,500 9,000 123 120 120 8,834 9,200 9,200 61,259 59,320 55,320 Allemagne
Hungary 688 759 743 175 201 208 411 488 481 102 70 53 383 294 333 1,071 1,053 1,076 Hongrie
Italy 1,797 2,502 2,502 1,169 1,169 1,169 148 853 853 480 480 480 1,180 1,180 1,180 2,977 3,682 3,682 Italie
Latvia 8,253 7,900 8,100 5,873 5,500 5,700 1,850 1,800 1,800 530 600 600 298 300 300 8,551 8,200 8,400 Lettonie
Luxembourg 162 143 145 124 122 115 10 6 8 27 15 22 17 11 12 178 154 158 Luxembourg
Montenegro 573 553 537 372 352 349 201 198 186 0 3 2 66 65 63 639 618 600 Monténégro
Netherlands 449 440 430 173 170 165 244 240 235 32 30 30 457 450 450 906 890 880 Pays-Bas
Poland 31,941 32,800 33,470 15,775 16,000 16,250 15,411 15,950 16,250 754 850 970 3,627 3,820 3,950 35,568 36,620 37,420 Pologne
Portugal 3,045 3,210 3,150 1,682 1,710 1,700 1,213 1,350 1,300 150 150 150 996 990 980 4,041 4,200 4,130 Portugal
Serbia 279 290 301 178 184 190 66 70 73 35 36 38 141 146 160 420 436 461 Serbie
Slovakia 3,325 3,160 3,120 2,559 2,430 2,400 748 710 700 18 20 20 259 260 275 3,584 3,420 3,395 Slovaquie
Slovenia 1,966 2,586 2,386 1,687 2,150 2,000 275 430 380 4 6 6 191 240 220 2,157 2,826 2,606 Slovénie
Spain 7,435 7,889 7,889 3,420 3,629 3,629 3,754 3,984 3,984 261 277 277 2,243 2,380 2,380 9,678 10,269 10,269 Espagne
Sweden 64,603 62,760 62,873 38,100 37,300 36,900 26,353 25,310 25,823 150 150 150 3,000 3,008 3,008 67,603 65,768 65,881 Suède
Switzerland 2,578 2,639 2,689 2,290 2,350 2,400 279 280 280 9 9 9 769 770 775 3,347 3,409 3,464 Suisse
United Kingdom 7,486 7,076 7,076 5,453 5,180 5,180 1,633 1,516 1,516 400 380 380 1,571 1,571 1,571 9,058 8,647 8,647 Royaume-Uni
Total Europe 288,136 276,619 274,984 185,467 172,881 171,836 99,212 100,136 99,433 3,458 3,602 3,715 39,396 39,504 39,798 327,533 316,123 314,781 Total Europe
Canada 114,659 112,907 112,907 110,046 108,424 108,424 4,229 4,021 4,021 384 462 462 806 946 946 115,465 113,853 113,853 Canada
United States 306,119 309,360 313,639 152,799 154,479 156,695 141,226 142,779 144,827 12,094 12,102 12,117 37,619 37,609 37,606 343,738 346,969 351,245 Etats-Unis
Total North America 420,778 422,267 426,546 262,845 262,903 265,119 145,455 146,800 148,848 12,478 12,564 12,579 38,425 38,555 38,552 459,203 460,822 465,098 Total Amérique du Nord
a Pulpwood, round and split, as well as chips and particles produced directly a Bois de trituration, rondins et quartiers, ainse que plaquettes et particules fabriquées
therefrom and used as pulpwood directement à partir des rondins et quartiers et utilisées comme bois de trituration
b Pitprops, poles, piling, posts etc. b Bois de mine, poteaux, pilotis, piquets etc.
c Including chips and particles produced from wood in the rough and c Y compris plaquettes et particules fabriquées à partir du bois brut et utilisées
used for energy purposes à des fins energétiques

Table 9b

TABLE 9b
REMOVALS OF WOOD IN THE ROUGH QUANTITES ENLEVEES DE BOIS BRUT
HARDWOOD NON-CONIFERES
1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
Country Industrial wood - Bois industriels Wood fuel c Bois de chauffage c Pays
Total Logs Pulpwood a Other b Total
Grumes Bois de trituration a Autre b
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 977 843 887 329 266 300 647 577 587 0 0 0 2,176 2,046 2,094 3,153 2,889 2,981 Autriche
Cyprus 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 Chypre
Czech Republic 1,268 1,079 1,071 616 524 517 649 552 550 3 4 4 795 716 700 2,063 1,795 1,771 République tchèque
Estonia 2,452 2,474 2,474 1,158 1,200 1,200 1,270 1,250 1,250 24 24 24 2,580 2,400 2,400 5,032 4,874 4,874 Estonie
Finland 8,838 7,933 7,845 1,037 1,049 1,061 7,801 6,884 6,784 0 0 0 4,747 4,747 4,747 13,585 12,680 12,592 Finlande
France 8,348 8,200 8,300 4,707 4,700 4,800 3,332 3,200 3,200 309 300 300 21,756 22,000 23,000 30,104 30,200 31,300 France
Germany 4,110 3,810 3,510 2,995 2,700 2,500 1,103 1,100 1,000 12 10 10 13,504 13,500 13,500 17,613 17,310 17,010 Allemagne
Hungary 2,213 2,122 2,138 1,234 1,173 1,191 502 507 526 477 442 421 3,244 2,990 3,064 5,456 5,112 5,202 Hongrie
Italy 1,041 1,038 1,038 721 721 721 168 166 166 152 152 152 9,659 9,659 9,659 10,700 10,697 10,697 Italie
Latvia 4,238 4,250 4,250 1,730 1,750 1,750 2,018 2,000 2,000 490 500 500 2,638 2,700 2,700 6,876 6,950 6,950 Lettonie
Luxembourg 69 54 47 23 22 18 46 32 30 0 0 0 23 34 30 92 89 78 Luxembourg
Montenegro 178 144 141 143 140 138 0 0 0 35 4 3 128 128 127 306 272 268 Monténégro
Netherlands 165 159 159 48 50 50 108 100 100 9 9 9 1,925 1,930 1,935 2,090 2,089 2,094 Pays-Bas
Poland 6,794 7,080 7,380 2,757 2,800 2,900 3,939 4,150 4,300 98 130 180 3,331 3,600 3,800 10,125 10,680 11,180 Pologne
Portugal 9,190 9,120 9,040 356 330 360 8,586 8,500 8,400 249 290 280 1,387 1,390 1,320 10,578 10,510 10,360 Portugal
Serbia 1,199 1,230 1,260 899 920 940 199 205 210 101 105 110 6,433 6,500 6,600 7,632 7,730 7,860 Serbie
Slovakia 3,502 3,660 3,760 1,570 1,650 1,700 1,924 2,000 2,050 8 10 10 350 350 375 3,851 4,010 4,135 Slovaquie
Slovenia 962 1,166 1,096 497 630 600 424 490 450 41 46 46 957 1,050 1,050 1,919 2,216 2,146 Slovénie
Spain 6,931 7,354 7,354 730 775 775 6,059 6,429 6,429 142 151 151 1,312 1,392 1,392 8,243 8,746 8,746 Espagne
Sweden 6,562 6,316 6,437 180 180 180 6,232 5,986 6,107 150 150 150 3,000 3,008 3,008 9,562 9,324 9,445 Suède
Switzerland 433 443 453 265 275 280 165 165 170 3 3 3 1,169 1,230 1,250 1,602 1,673 1,703 Suisse
United Kingdom 118 117 117 56 56 56 13 13 13 48 48 48 613 613 613 730 730 730 Royaume-Uni
Total Europe 69,587 68,593 68,759 22,052 21,910 22,036 45,185 44,305 44,322 2,350 2,377 2,401 81,728 81,984 83,365 151,314 150,576 152,124 Total Europe
Canada 27,472 27,592 27,592 14,854 14,926 14,926 10,812 10,843 10,843 1,806 1,823 1,823 877 961 961 28,349 28,554 28,554 Canada
United States 76,425 75,603 74,972 33,358 33,742 34,516 41,424 40,217 38,810 1,643 1,644 1,646 38,611 38,631 38,672 115,036 114,234 113,644 Etats-Unis
Total North America 103,897 103,196 102,564 48,212 48,668 49,442 52,236 51,060 49,653 3,449 3,467 3,469 39,488 39,592 39,633 143,385 142,788 142,197 Total Amérique du Nord
a Pulpwood, round and split, as well as chips and particles produced directly a Bois de trituration, rondins et quartiers, ainse que plaquettes et particules fabriquées
therefrom and used as pulpwood directement à partir des rondins et quartiers et utilisées comme bois de trituration
b Pitprops, poles, piling, posts etc. b Bois de mine, poteaux, pilotis, piquets etc.
c Including chips and particles produced from wood in the rough and c Y compris plaquettes et particules fabriquées à partir du bois brut et utilisées
used for energy purposes à des fins energétiques

Table 10

TABLE 10
SOFTWOOD SAWLOGS GRUMES DE SCIAGES DES CONIFERES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption a Imports Exports
Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 16,101 13,943 13,638 10,382 8,638 9,038 6,664 5,710 5,000 945 405 400 Autriche
Cyprus 2 2 2 2 2 2 0 0 0 0 0 0 Chypre
Czech Republic 8,002 6,511 6,962 14,019 10,094 9,589 411 596 715 6,428 4,178 3,343 République tchèque
Estonia 3,533 3,270 3,270 3,118 3,000 3,000 522 450 450 107 180 180 Estonie
Finland 24,310 21,336 21,991 24,662 21,700 22,351 127 79 83 479 443 443 Finlande
France 12,053 12,120 12,120 12,491 12,500 12,500 335 360 360 773 740 740 France
Germany 39,391 35,800 34,900 41,761 38,500 37,000 3,300 3,000 3,100 5,670 5,700 5,200 Allemagne
Hungary 175 201 208 175 201 208 0 0 0 0 0 0 Hongrie
Italy 1,645 1,396 1,396 1,169 1,169 1,169 580 457 457 104 230 230 Italie
Latvia 6,471 5,830 6,200 5,873 5,500 5,700 1,147 900 900 549 570 400 Lettonie
Luxembourg 465 403 396 124 122 115 693 424 424 352 143 143 Luxembourg
Montenegro 382 361 357 372 352 349 10 9 8 0 0 0 Monténégro
Netherlands 133 145 145 173 170 165 77 80 80 117 105 100 Pays-Bas
Poland 14,243 14,500 14,800 15,775 16,000 16,250 1,245 1,400 1,550 2,777 2,900 3,000 Pologne
Portugal 1,880 1,905 1,900 1,682 1,710 1,700 241 230 240 43 35 40 Portugal
Serbia 188 187 194 178 184 190 12 9 12 2 6 8 Serbie
Slovakia 3,059 3,030 3,100 2,559 2,430 2,400 900 950 1,000 400 350 300 Slovaquie
Slovenia 1,643 1,650 1,630 1,687 2,150 2,000 239 150 180 283 650 550 Slovénie
Spain 3,223 3,307 3,307 3,420 3,629 3,629 240 185 185 437 507 507 Espagne
Sweden 38,103 37,725 37,325 38,100 37,300 36,900 964 1,128 1,128 961 703 703 Suède
Switzerland 2,035 2,100 2,155 2,290 2,350 2,400 55 60 65 310 310 310 Suisse
United Kingdom 5,810 5,538 5,538 5,453 5,180 5,180 457 457 457 99 99 99 Royaume-Uni
Total Europe 182,849 171,260 171,534 185,467 172,881 171,836 18,218 16,634 16,394 20,836 18,255 16,696 Total Europe
Canada 105,870 103,492 103,916 110,046 108,424 108,424 1,346 1,402 1,309 5,522 6,333 5,816 Canada
United States 148,043 150,509 153,391 152,799 154,479 156,695 586 570 555 5,342 4,540 3,859 Etats-Unis
Total North America 253,913 254,001 257,307 262,845 262,903 265,119 1,931 1,972 1,864 10,863 10,873 9,675 Total Amérique du Nord
a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce

Table 11

TABLE 11
HARDWOOD SAWLOGS (total) GRUMES DE SCIAGES DES NON-CONIFERES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption a Imports Exports
Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 406 311 300 329 266 300 134 90 50 57 45 50 Autriche
Czech Republic 544 457 447 616 524 517 144 120 125 216 186 195 République tchèque
Estonia 1,187 1,244 1,244 1,158 1,200 1,200 46 60 60 16 16 16 Estonie
Finland 1,068 1,041 1,061 1,037 1,049 1,061 32 1 9 1 9 9 Finlande
France 3,453 4,020 4,120 4,707 4,700 4,800 116 120 120 1,370 800 800 France
Germany 2,532 2,290 2,130 2,995 2,700 2,500 111 110 110 574 520 480 Allemagne
Hungary 1,234 1,173 1,191 1,234 1,173 1,191 0 0 0 0 0 0 Hongrie
Italy 2,088 1,718 1,718 721 721 721 1,413 1,055 1,055 47 59 59 Italie
Latvia 1,221 1,190 1,410 1,730 1,750 1,750 87 40 60 596 600 400 Lettonie
Luxembourg 226 148 144 23 22 18 221 160 160 18 34 34 Luxembourg
Montenegro 143 140 138 143 140 138 0 0 0 0 0 0 Monténégro
Netherlands 54 60 60 48 50 50 54 60 60 48 50 50 Pays-Bas
Poland 2,687 2,730 2,830 2,757 2,800 2,900 80 80 80 150 150 150 Pologne
Portugal 997 885 925 356 330 360 663 580 590 22 25 25 Portugal
Serbia 894 922 946 899 920 940 15 20 28 20 18 22 Serbie
Slovakia 1,670 1,700 1,750 1,570 1,650 1,700 500 450 450 400 400 400 Slovaquie
Slovenia 281 290 280 497 630 600 31 30 30 247 370 350 Slovénie
Spain 833 854 854 730 775 775 164 174 174 61 94 94 Espagne
Sweden 217 217 217 180 180 180 37 37 37 0 0 0 Suède
Switzerland 145 155 160 265 275 280 35 40 40 155 160 160 Suisse
United Kingdom 78 77 77 56 56 56 26 26 26 5 5 5 Royaume-Uni
Total Europe 21,959 21,622 22,002 22,052 21,910 22,036 3,910 3,253 3,265 4,003 3,541 3,299 Total Europe
Canada 15,890 15,923 15,895 14,854 14,926 14,926 1,106 1,060 1,027 70 64 59 Canada
United States 31,550 32,311 33,431 33,358 33,742 34,516 221 156 156 2,028 1,587 1,241 Etats-Unis
Total North America 47,441 48,234 49,326 48,212 48,668 49,442 1,327 1,216 1,183 2,098 1,650 1,300 Total Amérique du Nord
a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce

Table 11a

TABLE 11a
HARDWOOD LOGS (temperate) GRUMES DE NON-CONIFERES (zone tempérée)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption a Imports Exports
Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 406 311 300 329 266 300 134 90 50 57 45 50 Autriche
Czech Republic 544 457 447 616 524 517 144 120 125 216 186 195 République tchèque
Estonia 1,187 1,244 1,244 1,158 1,200 1,200 46 60 60 16 16 16 Estonie
Finland 1,068 1,041 1,061 1,037 1,049 1,061 32 1 9 1 9 9 Finlande
France 3,412 3,978 4,078 4,707 4,700 4,800 72 75 75 1,367 797 797 France
Germany 2,527 2,285 2,125 2,995 2,700 2,500 101 100 100 569 515 475 Allemagne
Hungary 1,234 1,173 1,191 1,234 1,173 1,191 0 0 0 0 0 0 Hongrie
Italy 2,068 1,729 1,729 721 721 721 1,389 1,047 1,047 42 39 39 Italie
Latvia 1,221 1,190 1,410 1,730 1,750 1,750 87 40 60 596 600 400 Lettonie
Luxembourg 226 148 144 23 22 18 221 160 160 18 34 34 Luxembourg
Montenegro 143 140 138 143 140 138 0 0 0 0 0 0 Monténégro
Netherlands 46 55 55 48 50 50 42 50 50 44 45 45 Pays-Bas
Poland 2,685 2,727 2,827 2,757 2,800 2,900 78 77 77 150 150 150 Pologne
Portugal 981 870 912 356 330 360 642 560 571 17 20 19 Portugal
Serbia 893 921 945 899 920 940 14 19 27 20 18 22 Serbie
Slovakia 1,670 1,700 1,750 1,570 1,650 1,700 500 450 450 400 400 400 Slovaquie
Slovenia 280 290 280 497 630 600 30 30 30 247 370 350 Slovénie
Spain 827 847 847 730 775 775 158 167 167 61 94 94 Espagne
Sweden 217 217 217 180 180 180 37 37 37 0 0 0 Suède
Switzerland 145 155 160 265 275 280 35 40 40 155 160 160 Suisse
United Kingdom 76 75 75 56 56 56 24 24 24 5 5 5 Royaume-Uni
Total Europe 21,857 21,553 21,935 22,052 21,910 22,036 3,786 3,146 3,158 3,980 3,503 3,260 Total Europe
Canada 15,890 15,923 15,895 14,854 14,926 14,926 1,106 1,060 1,027 70 64 59 Canada
United States 31,549 32,308 33,429 33,358 33,742 34,516 219 152 154 2,027 1,586 1,240 Etats-Unis
Total North America 47,440 48,231 49,324 48,212 48,668 49,442 1,325 1,212 1,181 2,097 1,649 1,299 Total Amérique du Nord
a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce

Table 11b

TABLE 11b
HARDWOOD LOGS (tropical) GRUMES DE NON-CONIFERES (tropicale)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Net Trade Imports Exports
Country Commerce Net Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
France -41 -42 -42 44 45 45 3 3 3 France
Germany -5 -5 -5 10 10 10 5 5 5 Allemagne
Italy -20 11 11 25 9 9 4 20 20 Italie
Netherlands -8 -5 -5 12 10 10 4 5 5 Pays-Bas
Poland -2 -3 -3 2 3 3 0 0 0 Pologne
Portugal -16 -15 -13 21 20 19 5 5 6 Portugal
Serbia -1 -1 -1 1 1 1 0 0 0 Serbie
Slovenia -1 -0 -0 1 0 1 0 0 0 Slovénie
Spain -6 -7 -7 6 7 7 0 0 0 Espagne
United Kingdom -2 -2 -2 2 2 2 0 0 0 Royaume-Uni
Total Europe -102 -69 -67 124 107 106 22 38 39 Total Europe
United States -1 -3 -1 2 4 2 1 1 1 Etats-Unis
Total North America -1 -3 -1 2 4 2 1 1 1 Total Amérique du Nord

Table12

TABLE 12
PULPWOOD (total) BOIS DE TRITURATION (total)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption a Imports Exports
Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 13,844 12,627 12,592 11,047 9,212 9,287 3,676 4,070 4,020 879 655 715 Autriche
Cyprus 8 9 10 7 8 9 1 1 1 0 0 0 Chypre
Czech Republic 5,559 5,135 5,154 7,664 6,164 6,130 1,270 1,146 1,162 3,375 2,175 2,138 République tchèque
Estonia 3,117 2,380 2,435 6,548 6,550 6,550 256 330 285 3,687 4,500 4,400 Estonie
Finland 48,404 47,241 49,358 44,923 44,026 45,568 5,037 4,969 5,545 1,556 1,755 1,755 Finlande
France 24,495 24,350 24,050 24,257 24,000 23,700 2,527 2,600 2,600 2,289 2,250 2,250 France
Germany 26,555 26,580 23,090 27,936 27,100 23,500 4,474 3,870 3,770 5,855 4,390 4,180 Allemagne
Hungary 2,122 2,017 2,065 2,049 1,984 2,023 112 73 82 39 39 39 Hongrie
Italy 4,508 5,210 5,210 3,916 4,618 4,618 1,288 1,288 1,288 696 696 696 Italie
Latvia 5,540 5,150 5,150 9,484 8,800 8,800 1,084 950 950 5,028 4,600 4,600 Lettonie
Luxembourg 583 589 589 577 559 559 182 130 130 176 100 100 Luxembourg
Malta 2 3 3 0 0 0 2 3 3 0 0 0 Malte
Montenegro 245 241 227 245 241 227 0 0 0 0 0 0 Monténégro
Netherlands 604 1,100 1,095 1,267 1,240 1,230 289 100 105 952 240 240 Pays-Bas
Poland 35,250 36,265 37,135 33,531 34,600 35,450 3,652 3,660 3,710 1,933 1,995 2,025 Pologne
Portugal 15,954 15,330 15,365 11,664 11,720 11,590 4,657 4,000 4,140 368 390 365 Portugal
Serbia 981 1,007 1,045 967 1,000 1,033 15 8 13 1 1 1 Serbie
Slovakia 3,634 3,650 3,760 3,821 3,860 3,950 1,023 1,030 1,050 1,210 1,240 1,240 Slovaquie
Slovenia 926 770 790 2,058 2,280 2,230 625 490 530 1,757 2,000 1,970 Slovénie
Spain 13,959 14,358 14,358 14,383 15,261 15,261 1,435 1,564 1,564 1,859 2,467 2,467 Espagne
Sweden 55,632 54,193 54,727 50,015 48,196 48,730 7,036 7,750 7,750 1,419 1,753 1,753 Suède
Switzerland 1,823 1,824 1,829 1,216 1,217 1,222 795 795 795 188 188 188 Suisse
United Kingdom 4,590 4,471 4,471 4,293 4,175 4,175 406 405 405 109 109 109 Royaume-Uni
Total Europe 268,336 264,500 264,508 261,870 256,811 255,841 39,843 39,232 39,898 33,377 31,543 31,231 Total Europe
Canada 37,044 35,822 35,734 35,326 32,985 32,975 2,578 3,462 3,467 860 625 708 Canada
United States 238,450 239,587 240,850 244,912 246,110 247,536 348 324 308 6,809 6,848 6,994 Etats-Unis
Total North America 275,495 275,409 276,585 280,238 279,096 280,511 2,926 3,786 3,776 7,670 7,473 7,702 Total Amérique du Nord
Includes wood residues, chips and particles for all purposes Comprend les dechets de bois, plaquettes et particules pour toute utilisation
a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce

Table 12a

TABLE 12a
PULPWOOD LOGS (ROUND AND SPLIT) BOIS DE TRITURATION (RONDINS ET QUARTIERS)
Softwood Conifères
1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
Apparent Consumption a Imports Exports
Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 3,681 3,895 3,850 2,576 2,235 2,300 1,312 1,750 1,700 206 90 150 Autriche
Czech Republic 3,927 3,744 3,675 5,316 4,253 4,125 811 811 830 2,200 1,320 1,280 République tchèque
Estonia 476 245 245 878 900 900 56 45 45 458 700 700 Estonie
Finland 22,913 24,189 25,835 22,746 23,764 25,239 1,163 1,410 1,581 996 985 985 Finlande
France 4,689 4,400 4,100 4,559 4,300 4,000 608 550 550 478 450 450 France
Germany 10,311 11,900 9,500 10,541 11,500 9,000 2,200 2,100 2,000 2,430 1,700 1,500 Allemagne
Hungary 411 488 481 411 488 481 0 0 0 0 0 0 Hongrie
Italy 148 853 853 148 853 853 0 0 0 0 0 0 Italie
Latvia 1,775 1,700 1,700 1,850 1,800 1,800 374 400 400 449 500 500 Lettonie
Luxembourg -16 -18 -16 10 6 8 9 3 3 35 27 27 Luxembourg
Montenegro 201 198 186 201 198 186 0 0 0 0 0 0 Monténégro
Netherlands 146 150 145 244 240 235 70 80 85 168 170 175 Pays-Bas
Poland 15,378 15,900 16,300 15,411 15,950 16,250 1,428 1,500 1,650 1,462 1,550 1,600 Pologne
Portugal 1,323 1,430 1,375 1,213 1,350 1,300 122 100 90 12 20 15 Portugal
Serbia 66 70 74 66 70 73 0 0 1 0 0 0 Serbie
Slovakia 598 600 610 748 710 700 600 630 650 750 740 740 Slovaquie
Slovenia 264 200 220 275 430 380 268 170 200 278 400 360 Slovénie
Spain 3,369 3,467 3,467 3,754 3,984 3,984 179 138 138 564 655 655 Espagne
Sweden 28,513 27,431 27,944 26,353 25,310 25,823 3,114 3,269 3,269 954 1,148 1,148 Suède
Switzerland 209 210 210 279 280 280 20 20 20 90 90 90 Suisse
United Kingdom 1,894 1,776 1,776 1,633 1,516 1,516 291 291 291 31 31 31 Royaume-Uni
Total Europe 100,275 102,827 102,530 99,212 100,136 99,433 12,625 13,267 13,503 11,562 10,576 10,406 Total Europe
Canada 4,531 4,347 4,410 4,229 4,021 4,021 324 336 401 22 10 12 Canada
United States 141,231 142,785 144,831 141,226 142,779 144,827 5 6 4 0 0 0 Etats-Unis
Total North America 145,762 147,132 149,241 145,455 146,800 148,848 329 341 405 22 10 12 Total Amérique du Nord
a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce

Table 12b

TABLE 12b
PULPWOOD LOGS (ROUND AND SPLIT) BOIS DE TRITURATION (RONDINS ET QUARTIERS)
Hardwood Non-conifères
1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
Apparent Consumption a Imports Exports
Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 1,217 997 1,007 647 577 587 668 500 500 98 80 80 Autriche
Czech Republic 450 380 384 649 552 550 3 2 2 202 174 168 République tchèque
Estonia 363 200 250 1,270 1,250 1,250 154 250 200 1,060 1,300 1,200 Estonie
Finland 8,997 7,940 8,052 7,801 6,884 6,784 1,550 1,633 1,845 354 577 577 Finlande
France 2,386 2,250 2,250 3,332 3,200 3,200 43 50 50 989 1,000 1,000 France
Germany 1,116 1,180 1,090 1,103 1,100 1,000 259 270 270 246 190 180 Allemagne
Hungary 502 507 526 502 507 526 0 0 0 0 0 0 Hongrie
Italy 168 166 166 168 166 166 0 0 0 0 0 0 Italie
Latvia 172 200 200 2,018 2,000 2,000 244 100 100 2,090 1,900 1,900 Lettonie
Luxembourg 77 71 69 46 32 30 36 48 48 5 9 9 Luxembourg
Netherlands 62 50 55 108 100 100 21 20 20 67 70 65 Pays-Bas
Poland 4,424 4,635 4,785 3,939 4,150 4,300 560 560 560 75 75 75 Pologne
Portugal 10,495 10,300 10,260 8,586 8,500 8,400 2,100 2,000 2,050 191 200 190 Portugal
Serbia 199 205 210 199 205 210 0 0 0 0 0 0 Serbie
Slovakia 1,874 1,950 2,000 1,924 2,000 2,050 100 100 100 150 150 150 Slovaquie
Slovenia 137 120 130 424 490 450 84 80 90 371 450 410 Slovénie
Spain 5,422 5,288 5,288 6,059 6,429 6,429 269 291 291 906 1,432 1,432 Espagne
Sweden 8,517 8,412 8,533 6,232 5,986 6,107 2,313 2,481 2,481 28 55 55 Suède
Switzerland 128 128 133 165 165 170 3 3 3 40 40 40 Suisse
United Kingdom 23 22 22 13 13 13 18 18 18 9 9 9 Royaume-Uni
Total Europe 46,729 45,001 45,410 45,185 44,305 44,322 8,426 8,406 8,628 6,881 7,711 7,540 Total Europe
Canada 10,554 10,654 10,644 10,812 10,843 10,843 38 36 30 296 225 228 Canada
United States 41,407 40,200 38,795 41,424 40,217 38,810 58 32 18 75 50 33 Etats-Unis
Total North America 51,961 50,854 49,439 52,236 51,060 49,653 96 68 48 371 275 261 Total Amérique du Nord
a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce

Table 12c

TABLE 12c
WOOD RESIDUES, CHIPS AND PARTICLES DECHETS DE BOIS, PLAQUETTES ET PARTICULES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 8,945 7,735 7,735 7,824 6,400 6,400 1,696 1,820 1,820 575 485 485 Autriche
Cyprus 8 9 10 7 8 9 1 1 1 0 0 0 Chypre
Czech Republic 1,182 1,011 1,094 1,699 1,359 1,454 456 333 330 973 681 690 République tchèque
Estonia 2,278 1,935 1,940 4,400 4,400 4,400 47 35 40 2,169 2,500 2,500 Estonie
Finland 16,494 15,112 15,471 14,376 13,378 13,545 2,324 1,926 2,119 206 193 193 Finlande
France 17,420 17,700 17,700 16,366 16,500 16,500 1,876 2,000 2,000 822 800 800 France
Germany 15,128 13,500 12,500 16,292 14,500 13,500 2,015 1,500 1,500 3,179 2,500 2,500 Allemagne
Hungary 1,209 1,022 1,057 1,137 989 1,015 112 73 82 39 39 39 Hongrie
Italy 4,192 4,192 4,192 3,600 3,600 3,600 1,288 1,288 1,288 696 696 696 Italie
Latvia 3,593 3,250 3,250 5,616 5,000 5,000 466 450 450 2,489 2,200 2,200 Lettonie
Luxembourg 522 536 536 521 521 521 137 79 79 136 64 64 Luxembourg
Malta 2 3 3 0 0 0 2 3 3 0 0 0 Malte
Montenegro 44 43 41 44 43 41 0 0 0 0 0 0 Monténégro
Netherlands 396 900 895 915 900 895 198 0 0 717 0 0 Pays-Bas
Poland 15,448 15,730 16,050 14,181 14,500 14,900 1,664 1,600 1,500 396 370 350 Pologne
Portugal 4,136 3,600 3,730 1,865 1,870 1,890 2,435 1,900 2,000 165 170 160 Portugal
Serbia 716 732 761 702 725 750 15 8 12 1 1 1 Serbie
Slovakia 1,162 1,100 1,150 1,149 1,150 1,200 323 300 300 310 350 350 Slovaquie
Slovenia 525 450 440 1,360 1,360 1,400 273 240 240 1,107 1,150 1,200 Slovénie
Spain 5,169 5,603 5,603 4,570 4,849 4,849 987 1,135 1,135 388 380 380 Espagne
Sweden 18,602 18,350 18,250 17,430 16,900 16,800 1,609 2,000 2,000 437 550 550 Suède
Switzerland 1,486 1,486 1,486 772 772 772 772 772 772 58 58 58 Suisse
United Kingdom 2,673 2,673 2,673 2,646 2,646 2,646 96 96 96 69 69 69 Royaume-Uni
Total Europe 121,332 116,673 116,568 117,472 112,370 112,087 18,793 17,559 17,767 14,933 13,256 13,285 Total Europe
Canada 21,959 20,821 20,680 20,285 18,121 18,111 2,216 3,090 3,037 542 390 467 Canada
United States 55,812 56,602 57,224 62,262 63,114 63,899 285 286 286 6,734 6,798 6,961 Etats-Unis
Total North America 77,771 77,423 77,904 82,547 81,235 82,010 2,500 3,376 3,323 7,277 7,188 7,428 Total Amérique du Nord

Table 13

TABLE 13
WOOD PELLETS GRANULES DE BOIS
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 mt
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 1,290 1,497 1,450 1,691 1,938 2,050 344 309 300 745 750 900 Autriche
Cyprus 8 5 5 0 0 0 8 5 5 0 0 0 Chypre
Czech Republic 234 215 225 540 459 482 38 38 40 344 282 296 République tchèque
Estonia 284 300 230 1,650 1,350 1,300 12 50 30 1,378 1,100 1,100 Estonie
Finland 530 541 562 360 380 405 188 163 160 18 2 3 Finlande
France 2,735 3,260 3,660 2,050 2,250 2,450 775 1,100 1,300 90 90 90 France
Germany 3,328 3,540 3,720 3,569 3,700 3,900 443 480 420 684 640 600 Allemagne
Hungary 63 44 50 62 43 49 11 13 12 11 12 12 Hongrie
Italy 2,359 2,359 2,359 450 450 450 1,916 1,916 1,916 7 7 7 Italie
Latvia 621 750 750 1,980 2,000 2,000 326 350 350 1,685 1,600 1,600 Lettonie
Luxembourg 61 72 72 63 63 63 17 11 11 19 2 2 Luxembourg
Malta 1 1 1 0 0 0 1 1 1 0 0 0 Malte
Montenegro 18 25 26 83 84 84 0 0 0 65 59 58 Monténégro
Netherlands 5,354 5,354 5,354 268 268 268 5,551 5,551 5,551 465 465 465 Pays-Bas
Poland 842 920 1,100 1,152 1,200 1,350 366 370 380 677 650 630 Pologne
Portugal 228 225 220 747 740 735 4 5 5 523 520 520 Portugal
Serbia 478 460 485 418 450 480 83 70 80 23 60 75 Serbie
Slovakia 22 175 175 390 450 450 47 75 75 415 350 350 Slovaquie
Slovenia 125 155 150 164 175 180 126 120 130 165 140 160 Slovénie
Spain 867 907 907 1,007 1,007 1,007 65 46 46 206 146 146 Espagne
Sweden 1,776 1,800 1,850 1,809 1,750 1,800 199 210 210 232 160 160 Suède
Switzerland 410 415 420 330 335 340 80 80 80 0 0 0 Suisse
United Kingdom 7,819 7,830 7,830 327 330 330 7,516 7,520 7,520 23 20 20 Royaume-Uni
Total Europe 29,451 30,850 31,601 19,110 19,422 20,173 18,114 18,482 18,621 7,774 7,055 7,194 Total Europe
Canada 368 420 179 3,830 3,830 3,830 31 52 56 3,493 3,462 3,707 Canada
United States 761 273 152 9,544 9,744 9,948 194 174 155 8,977 9,644 9,951 Etats-Unis
Total North America 1,129 694 331 13,374 13,574 13,778 225 226 211 12,470 13,106 13,659 Total Amérique du Nord

Table 14

TABLE 14
Europe: Summary table of market forecasts for 2023 and 2024
Europe: Tableau récapitulatif des prévisions du marché pour 2023 et 2024
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
million m3 (pulp, paper and pellets million m.t. - pâte de bois, papiers et cartons, et granulés en millions de tonnes métriques)
Apparent Consumption
Consommation Apparente Production Imports - Importations Exports - Exportations
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
actual forecasts actual forecasts actual forecasts actual forecasts
réels prévisions réels prévisions réels prévisions réels prévisions
Sawn softwood 75.92 69.01 68.49 96.71 89.54 88.44 29.69 25.67 25.93 50.49 46.20 45.88 Sciages conifères
Softwood logs a 182.85 171.26 171.53 185.47 172.88 171.84 18.22 16.63 16.39 20.84 18.25 16.70 Grumes de conifères a
Sawn hardwood 7.02 6.65 6.70 6.93 6.45 6.61 4.18 3.86 3.81 4.09 3.66 3.72 Sciages non-conifères
– temperate zone b 6.45 6.14 6.18 6.87 6.40 6.55 3.28 3.07 3.02 3.70 3.33 3.39 – zone tempérée b
– tropical zone b 0.57 0.51 0.52 0.06 0.05 0.06 0.90 0.79 0.79 0.39 0.32 0.32 – zone tropicale b
Hardwood logs a 21.96 21.62 22.00 22.05 21.91 22.04 3.91 3.25 3.26 4.00 3.54 3.30 Grumes de non-conifères a
– temperate zone b 21.86 21.55 21.93 22.05 21.91 22.04 3.79 3.15 3.16 3.98 3.50 3.26 – zone tempérée b
– tropical zone b 0.10 0.07 0.07 0.12 0.11 0.11 0.02 0.04 0.04 – zone tropicale b
Veneer sheets 1.58 1.49 1.49 1.00 0.97 0.96 1.42 1.28 1.29 0.84 0.76 0.76 Feuilles de placage
Plywood 6.62 6.21 5.92 4.17 3.93 3.97 6.42 5.79 5.48 3.96 3.50 3.53 Contreplaqués
Particle board (excluding OSB) 28.12 26.41 26.52 28.01 26.71 26.91 10.02 9.58 9.55 9.92 9.88 9.94 Pann. de particules (sauf OSB)
OSB 5.27 5.06 5.09 4.89 4.89 5.02 3.20 2.96 2.94 2.83 2.78 2.87 OSB
Fibreboard 15.80 14.89 15.09 16.15 15.31 15.42 8.76 8.01 8.04 9.11 8.43 8.37 Panneaux de fibres
– Hardboard 0.79 0.82 0.90 0.48 0.47 0.47 1.47 1.44 1.46 1.17 1.09 1.04 – Durs
– MDF 11.42 10.85 10.97 12.16 11.62 11.68 5.21 4.61 4.62 5.95 5.38 5.33 – MDF
– Other board 3.59 3.22 3.22 3.51 3.22 3.27 2.07 1.97 1.96 1.99 1.96 2.01 – Autres panneaux
Pulpwood a 268.34 264.50 264.51 261.87 256.81 255.84 39.84 39.23 39.90 33.38 31.54 31.23 Bois de trituration a
– Pulp logs 147.00 147.83 147.94 144.40 144.44 143.75 21.05 21.67 22.13 18.44 18.29 17.95 – Bois ronds de trituration
– softwood 100.28 102.83 102.53 99.21 100.14 99.43 12.63 13.27 13.50 11.56 10.58 10.41 – conifères
– hardwood 46.73 45.00 45.41 45.18 44.31 44.32 8.43 8.41 8.63 6.88 7.71 7.54 – non-conifères
– Residues, chips and particles 121.33 116.67 116.57 117.47 112.37 112.09 18.79 17.56 17.77 14.93 13.26 13.29 – Déchets, plaquettes et part.
Wood pulp 37.60 34.07 35.28 34.64 32.24 33.81 17.33 16.19 16.59 14.37 14.37 15.12 Pâte de bois
Paper and paperboard 72.76 66.14 69.44 83.10 73.88 79.49 43.20 39.62 41.48 53.55 47.36 51.53 Papiers et cartons
Wood Pellets 29.45 30.85 31.60 19.11 19.42 20.17 18.11 18.48 18.62 7.77 7.05 7.19 Granulés de bois
a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fourni des données sur le commerce
b Trade figures by zone do not equal the total as some countries cannot provide data for both zones b Les chiffres du commerce par zone ne correspondent pas aux totaux
en raison du fait que certains pays ne peuvent les différencier.

Table 15

TABLE 15
North America: Summary table of market forecasts for 2023 and 2024
Amérique du Nord: Tableau récapitulatif des prévisions du marché pour 2023 et 2024
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
million m3 (pulp, paper and pellets million m.t. - pâte de bois, papiers et cartons, et granulés en millions de tonnes métriques)
Apparent Consumption
Consommation Apparente Production Imports - Importations Exports - Exportations
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
actual forecasts actual forecasts actual forecasts actual forecasts
réels prévisions réels prévisions réels prévisions réels prévisions
Sawn softwood 91.63 89.85 90.39 100.44 97.41 95.73 27.09 26.48 27.10 35.90 34.04 32.43 Sciages conifères
Softwood logs 253.91 254.00 257.31 262.84 262.90 265.12 1.93 1.97 1.86 10.86 10.87 9.68 Grumes de conifères
Sawn hardwood 15.85 16.16 16.46 18.50 18.72 19.03 1.59 1.63 1.56 4.23 4.19 4.13 Sciages non-conifères
– temperate zone 15.57 15.89 16.19 18.50 18.72 19.03 1.29 1.33 1.26 4.21 4.16 4.10 – zone tempérée
– tropical zone 0.29 0.27 0.27 0.00 0.00 0.00 0.31 0.30 0.30 0.02 0.03 0.03 – zone tropicale
Hardwood logs 47.44 48.23 49.33 48.21 48.67 49.44 1.33 1.22 1.18 2.10 1.65 1.30 Grumes de non-conifères
– temperate zone 47.44 48.23 49.32 48.21 48.67 49.44 1.32 1.21 1.18 2.10 1.65 1.30 – zone tempérée
– tropical zone 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 – zone tropicale
Veneer sheets 2.85 2.93 2.97 2.87 2.89 2.91 0.86 0.88 0.89 0.88 0.83 0.84 Feuilles de placage
Plywood 16.92 16.92 17.31 10.86 10.90 11.05 7.48 7.37 7.68 1.43 1.36 1.42 Contreplaqués
Particle board (excluding OSB) 6.66 7.45 7.46 6.11 6.58 6.55 1.75 1.97 1.98 1.19 1.10 1.07 Pann. de particules (sauf OSB)
OSB 21.20 21.09 21.35 20.86 20.60 20.86 6.28 6.30 6.39 5.94 5.82 5.89 OSB
Fibreboard 9.92 9.93 10.07 7.64 7.71 7.87 4.18 3.92 3.92 1.90 1.69 1.72 Panneaux de fibres
– Hardboard 0.51 0.56 0.56 0.53 0.59 0.60 0.31 0.28 0.29 0.32 0.32 0.33 – Durs
– MDF 6.21 6.23 6.23 3.83 3.88 3.89 3.55 3.35 3.32 1.17 0.99 0.98 – MDF
– Other board 3.20 3.15 3.28 3.28 3.24 3.38 0.32 0.29 0.31 0.40 0.38 0.41 – Autres panneaux
Pulpwood 275.49 275.41 276.58 280.24 279.10 280.51 2.93 3.79 3.78 7.67 7.47 7.70 Bois de trituration
– Pulp logs 197.72 197.99 198.68 197.69 197.86 198.50 0.43 0.41 0.45 0.39 0.28 0.27 – Bois ronds de trituration
– softwood 145.76 147.13 149.24 145.45 146.80 148.85 0.33 0.34 0.41 0.02 0.01 0.01 – conifères
– hardwood 51.96 50.85 49.44 52.24 51.06 49.65 0.10 0.07 0.05 0.37 0.27 0.26 – non-conifères
– Residues, chips and particles 77.77 77.42 77.90 82.55 81.23 82.01 2.50 3.38 3.32 7.28 7.19 7.43 – Déchets, plaquettes et part.
Wood pulp 45.79 48.12 48.43 55.02 54.33 54.12 7.42 8.22 8.89 16.65 14.44 14.58 Pâte de bois
Paper and paperboard 69.75 68.96 69.26 75.05 73.60 73.63 10.72 10.42 10.39 16.02 15.06 14.77 Papiers et cartons
Wood pellets 1.13 0.69 0.33 13.37 13.57 13.78 0.23 0.23 0.21 12.47 13.11 13.66 Granulés de bois

List of Tables and Notes Table 1 - Sawn Softwood Table 2 - Sawn Hardwood (total) Table 2a - Sawn Hardwood (temperate) Table 2b - Sawn Hardwood (tropical) Table 3 - Veneer Sheets Table 4 - Plywood Table 5 - Particle Board (excluding OSB) Table 5a - Oriented Strand Board Table 6 - Fibreboard Table 6a - Hardboard Table 6b - MDF/HDF Table 6c - Other Fibreboard Table 7 - Wood Pulp Table 8 - Paper and Paperboard Table 9 - Removals of wood in the rough Table 9a - Removals of wood in the rough (softwood) Table 9b - Removals of wood in the rough (hardwood) Table 10 - Softwood sawlogs Table 11 - Hardwood sawlogs Table 11a - Hardwood logs (temperate) Table 11b - Hardwood logs (tropical) Table 12 - Pulpwood Table 12a - Pulpwood (softwood) Table 12b - Pulpwood (hardwood) Table 12c - Wood Residues, Chips and Particles Table 13 - Wood Pellets Table 14 - Europe: Summary table of market forecasts for 2023 and 2024 Table 15 - North America: Summary table of market forecasts for 2023 and 2024

Source: UNECE Committee on Forests and the Forest Industry , November 2023, http://www.unece.org/forests/fpm/timbercommittee.html

Notes: Data in italics are estimated by the secretariat. EECCA is Eastern Europe, Caucasus and Central Asia. Data for the two latest years are forecasts. In contrast to previous years, data are shown only for countries providing forecasts. Sub-regional totals are only for reporting countries.

For tables 1-13, data in italics are secretariat estimates or repeated data. All other data are from national sources and are of course estimates for the current and future year.

Softwood = coniferous, hardwood = non-coniferous For tables 1-13, data in italics are secretariat estimates or repeated data. All other data are from national sources and are of course estimates for the current and future year. Countries with nil, missing or confidential data for all years on a table are not shown.

Uzbekistan – data extrapolated by the Secretariat based on national data for the first eight months 2023. Poland - The trade turnover is based on data that includes the estimated value of trade turnover by entities exempt from the reporting obligation. These trade turnover figures are estimated at 3%. Roundwood: sawlogs and veneer logs and pulpwood and wood fuel - with removals from trees and shrubs outside the forest, including forest chips, with stump. Residues - production excluding recovered wood.

In contrast to years prior to 2020, data are shown only for countries providing forecasts. Sub-regional totals thus reflect only the reporting countries of the subreg Confidential data have not been included. Please inform secretariat in case you notice any confidential data which might have been included inadvertently.

Wherever the forecast data is incomplete, then data is repeated to avoid skewing.

Countries with nil, missing or confidential data for all years on a table are not shown. Consumption figures are the sum of production and national imports minus national exports. Softwood = coniferous, hardwood = non-coniferous. United Kingdom production figures for OSB is secretariat estimate.

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 6,141 4,978 4,978 10,104 8,588 8,588 1,784 1,270 1,270 5,747 4,880 4,880 Autriche Cyprus 33 34 34 1 1 1 32 33 33 0 0 0 Chypre Czech Republic 2,965 2,343 2,470 4,720 3,776 4,040 583 414 350 2,338 1,847 1,920 République tchèque Estonia 2,068 1,550 1,550 1,725 1,500 1,500 1,209 700 700 866 650 650 Estonie Finland 2,938 2,420 2,420 11,200 10,300 10,400 305 20 20 8,567 7,900 8,000 Finlande France 8,633 8,750 8,800 7,168 7,200 7,300 2,350 2,450 2,400 885 900 900 France Germany 17,294 14,900 13,300 24,309 21,400 19,800 4,146 2,700 3,000 11,162 9,200 9,500 Allemagne Hungary 788 902 918 85 96 86 717 821 842 14 15 11 Hongrie Italy 4,790 4,302 4,302 400 400 400 4,608 4,157 4,157 217 255 255 Italie Latvia 1,025 950 950 3,102 3,000 3,000 829 750 750 2,906 2,800 2,800 Lettonie Luxembourg 71 122 122 39 39 39 43 91 91 11 8 8 Luxembourg Malta 7 9 9 0 0 0 7 9 9 0 0 0 Malte Montenegro 30 30 29 118 115 112 10 9 7 98 94 90 Monténégro Netherlands 2,259 2,088 2,029 115 115 115 2,659 2,473 2,399 515 500 485 Pays-Bas Poland 4,631 4,630 4,800 4,144 4,100 4,200 1,219 1,240 1,300 732 710 700 Pologne Portugal 696 686 685 807 815 820 130 130 125 242 259 260 Portugal Serbia 367 361 383 91 95 98 281 270 290 5 4 5 Serbie Slovakia 847 810 860 1,430 1,360 1,400 480 450 460 1,063 1,000 1,000 Slovaquie Slovenia 665 670 660 983 990 980 530 530 530 848 850 850 Slovénie Spain 4,029 4,001 4,001 3,006 3,189 3,189 1,166 956 956 143 144 144 Espagne Sweden 5,709 5,050 5,650 18,870 18,400 18,300 587 500 450 13,748 13,850 13,100 Suède Switzerland 1,271 1,300 1,325 1,186 1,200 1,210 300 310 320 215 210 205 Suisse United Kingdom 8,663 8,125 8,214 3,108 2,860 2,860 5,719 5,385 5,474 165 120 120 Royaume-Uni Total Europe 75,919 69,011 68,490 96,712 89,540 88,439 29,694 25,668 25,934 50,487 46,197 45,883 Total Europe Uzbekistan 2,256 1,498 1,498 0 0 0 2,256 1,498 1,498 0 0 0 Ouzbékistan Total EECCA #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A Total EOCAC Canada a 3,707 2,691 2,242 36,398 33,228 31,331 891 988 948 33,581 31,525 30,037 Canada a

United States a 87,925 87,155 88,151 64,039 64,178 64,399 26,202 25,492 26,149 2,316 2,515 2,397 Etats-Unis a

Total North America 91,632 89,846 90,393 100,437 97,406 95,730 27,093 26,480 27,097 35,898 34,040 32,434 Total Amérique du Nord a converted from nominal to actual size using factor of 0.72 a convertis du dimension nominale au véritable avec une facteur du 0.72

Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays

TABLE 1 SAWN SOFTWOOD SCIAGES CONIFERES

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions 1000 m3

Apparent Consumption

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 310 222 222 238 202 202 217 140 140 145 120 120 Autriche Cyprus 11 7 7 0 0 0 11 7 7 0 0 0 Chypre Czech Republic 324 245 240 222 167 175 136 103 105 34 24 40 République tchèque Estonia 232 125 125 175 125 125 147 60 60 90 60 60 Estonie Finland 84 44 44 73 40 40 34 24 24 23 20 20 Finlande France 1,124 1,140 1,150 1,446 1,300 1,400 264 420 350 586 580 600 France Germany 693 650 650 997 800 800 395 300 300 699 450 450 Allemagne Hungary 258 150 131 414 343 342 45 38 30 200 231 241 Hongrie Italy 798 776 776 500 500 500 637 578 578 339 302 302 Italie Latvia 5 105 105 720 800 800 54 55 55 769 750 750 Lettonie Luxembourg 96 98 98 39 39 39 64 65 65 7 6 6 Luxembourg Malta 7 8 9 0 0 0 7 8 9 0 0 0 Malte Montenegro 11 8 10 39 35 34 2 1 1 30 28 25 Monténégro Netherlands 238 213 203 34 34 34 314 289 279 110 110 110 Pays-Bas Poland 495 470 500 487 450 460 267 270 300 259 250 260 Pologne Portugal 369 295 290 182 185 190 287 200 190 100 90 90 Portugal Serbia 172 215 225 343 370 385 64 60 70 235 215 230 Serbie Slovakia 235 240 275 385 400 420 55 50 55 205 210 200 Slovaquie Slovenia 106 145 145 143 145 145 83 80 80 121 80 80 Slovénie Spain 425 467 467 302 321 321 175 193 193 53 47 47 Espagne Sweden 142 140 140 100 100 100 83 80 80 41 40 40 Suède Switzerland 78 79 81 52 53 54 50 51 52 24 25 25 Suisse United Kingdom 807 810 810 37 40 40 787 790 790 17 20 20 Royaume-Uni Total Europe 7,019 6,652 6,703 6,928 6,449 6,606 4,177 3,862 3,813 4,086 3,658 3,716 Total Europe Uzbekistan 228 208 208 195 195 195 33 16 16 0 3 3 Ouzbékistan Total EECCA #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A Total EOCAC Canada 1,208 1,324 1,242 859 893 815 793 826 738 444 395 311 Canada United States 14,647 14,835 15,217 17,637 17,827 18,214 798 805 820 3,788 3,797 3,817 Etats-Unis Total North America 15,855 16,159 16,459 18,496 18,720 19,029 1,591 1,631 1,558 4,231 4,192 4,128 Total Amérique du Nord

Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays

TABLE 2 SAWN HARDWOOD (total) SCIAGES NON-CONIFERES (total)

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions 1000 m3

Apparent Consumption

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 306 219 219 238 202 202 213 136 136 144 119 119 Autriche Cyprus 9 5 5 0 0 0 8 5 5 0 0 0 Chypre Czech Republic 307 229 223 222 167 175 119 86 88 34 24 40 République tchèque Estonia 230 122 122 175 125 125 142 56 56 87 59 59 Estonie Finland 80 40 40 73 40 40 26 16 16 19 16 16 Finlande France 960 988 988 1,420 1,285 1,375 123 280 210 583 577 597 France Germany 664 630 630 997 800 800 315 240 240 649 410 410 Allemagne Hungary 257 147 127 414 343 342 43 35 26 200 230 241 Hongrie Italy 819 791 791 495 495 495 476 423 423 152 127 127 Italie Latvia 5 105 105 720 800 800 54 55 55 769 750 750 Lettonie Luxembourg 92 96 96 39 39 39 60 63 63 7 6 6 Luxembourg Malta 6 7 8 0 0 0 6 7 8 0 0 0 Malte Montenegro 11 8 10 39 35 34 2 1 1 30 28 25 Monténégro Netherlands 89 80 77 27 27 27 117 108 105 55 55 55 Pays-Bas Poland 484 459 488 487 450 460 254 257 286 257 248 258 Pologne Portugal 319 272 268 170 172 178 180 150 140 31 50 50 Portugal Serbia 167 211 220 342 369 384 59 57 66 234 215 230 Serbie Slovakia 235 240 275 385 400 420 55 50 55 205 210 200 Slovaquie Slovenia 104 143 143 143 145 145 81 78 78 120 80 80 Slovénie Spain 383 417 417 300 318 318 128 142 142 45 43 43 Espagne Sweden 142 139 139 100 100 100 83 79 79 41 40 40 Suède Switzerland 69 70 72 49 50 51 44 45 46 24 25 25 Suisse United Kingdom 716 720 720 37 40 40 693 700 700 14 20 20 Royaume-Uni Total Europe 6,453 6,138 6,183 6,872 6,402 6,550 3,281 3,069 3,025 3,700 3,334 3,392 Total Europe Uzbekistan 227 207 207 195 195 195 33 15 15 0 3 3 Ouzbékistan Total EECCA #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A Total EOCAC Canada 1,191 1,316 1,236 859 893 815 762 805 715 430 382 294 Canada United States 14,379 14,578 14,957 17,637 17,827 18,214 523 529 544 3,782 3,778 3,801 Etats-Unis Total North America 15,569 15,893 16,193 18,496 18,720 19,029 1,285 1,334 1,259 4,212 4,160 4,095 Total Amérique du Nord

Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays

TABLE 2a SAWN HARDWOOD (temperate) SCIAGES NON-CONIFERES (zone tempérée)

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions 1000 m3

Apparent Consumption

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 3 3 3 0 0 0 4 4 4 1 1 1 Autriche Bulgaria 0 0 0 0 0 0 0 0 0 0 0 0 Bulgarie Cyprus 3 2 2 0 0 0 3 2 2 0 0 0 Chypre Czech Republic 17 17 17 0 0 0 17 17 17 0 0 0 République tchèque Estonia 2 3 3 0 0 0 5 4 4 3 1 1 Estonie Finland 4 4 4 0 0 0 8 8 8 4 4 4 Finlande France 164 152 162 26 15 25 141 140 140 3 3 3 France Germany 29 20 20 0 0 0 79 60 60 50 40 40 Allemagne Hungary 2 3 4 0 0 0 2 4 4 0 0 0 Hongrie Italy -21 -15 -15 5 5 5 161 154 154 187 175 175 Italie Luxembourg 4 2 2 0 0 0 4 2 2 0 0 0 Luxembourg Malta 1 1 1 0 0 0 1 1 1 0 0 0 Malte Netherlands 149 133 126 7 7 7 197 181 174 55 55 55 Pays-Bas Poland 10 11 12 0 0 0 12 13 14 2 2 2 Pologne Portugal 50 23 22 12 13 12 107 50 50 69 40 40 Portugal Serbia 5 4 5 1 1 1 5 3 4 1 0 0 Serbie Slovenia 2 2 2 0 0 0 2 2 2 0 0 0 Slovénie Spain 42 49 49 2 2 2 47 50 50 7 4 4 Espagne Sweden 1 1 1 0 0 0 1 1 1 0 0 0 Suède Switzerland 9 9 9 3 3 3 6 6 6 0 0 0 Suisse United Kingdom 91 90 90 0 0 0 94 90 90 3 0 0 Royaume-Uni Total Europe 566 515 519 56 46 55 896 793 788 386 324 324 Total Europe Canada 17 8 7 0 0 0 31 21 23 14 13 16 Canada United States 269 257 260 0 0 0 275 276 276 6 19 16 Etats-Unis Total North America 286 266 266 0 0 0 305 297 299 20 31 32 Total Amérique du Nord

1000 m3

Apparent Consumption Country Consommation Apparente Production Imports - Importations

TABLE 2b SAWN HARDWOOD (tropical) SCIAGES NON-CONIFERES (tropicale)

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

Exports - Exportations Pays

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 74 39 39 8 8 8 83 45 45 17 14 14 Autriche Cyprus 1 1 1 0 0 0 1 1 1 0 0 0 Chypre Czech Republic 28 28 27 28 16 17 58 53 50 58 41 40 République tchèque Estonia 111 125 125 105 110 110 87 95 95 82 80 80 Estonie Finland 27 21 21 190 160 160 12 10 10 175 149 149 Finlande France 366 366 366 157 157 157 273 273 273 64 64 64 France Germany 157 143 125 110 105 105 99 78 70 52 40 50 Allemagne Hungary 23 25 20 13 18 13 39 39 39 28 31 32 Hongrie Italy 344 308 308 107 107 107 274 234 234 37 33 33 Italie Latvia 105 105 105 40 50 50 140 140 140 75 85 85 Lettonie Luxembourg 1 0 0 0 0 0 1 0 0 0 0 0 Luxembourg Malta 1 2 3 0 0 0 1 2 3 0 0 0 Malte Netherlands 15 13 13 0 0 0 17 15 15 3 3 3 Pays-Bas Poland 121 121 129 45 42 45 92 94 98 16 15 14 Pologne Portugal 12 20 35 20 30 25 38 40 50 46 50 40 Portugal Serbia 4 4 5 30 28 30 8 6 8 34 30 33 Serbie Slovakia 17 25 25 21 25 25 27 30 30 31 30 30 Slovaquie Slovenia 9 8 9 28 27 25 13 14 14 32 33 30 Slovénie Spain 122 92 92 40 36 36 127 90 90 45 34 34 Espagne Sweden 32 31 31 60 50 50 19 10 10 47 29 29 Suède Switzerland 3 3 3 0 0 0 4 4 4 1 1 1 Suisse United Kingdom 6 10 10 0 0 0 7 10 10 1 0 0 Royaume-Uni Total Europe 1,577 1,490 1,491 1,002 969 962 1,419 1,283 1,288 843 762 760 Total Europe Uzbekistan 4 4 4 3 3 3 2 1 1 0 0 0 Ouzbékistan Total EECCA #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A 0 Total EOCAC Canada 204 262 267 581 581 581 212 218 230 590 537 544 Canada United States 2,643 2,670 2,699 2,284 2,306 2,329 652 658 664 293 294 294 Etats-Unis Total North America 2,847 2,932 2,966 2,866 2,887 2,910 864 876 894 883 831 838 Total Amérique du Nord Note: Definition of veneers excludes domestic use for plywood. La définition des placages exclus la conversion directe en contreplaqué.

Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays

TABLE 3 VENEER SHEETS FEUILLES DE PLACAGE

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions 1000 m3

Apparent Consumption

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 19 15 15 131 155 155 183 150 150 296 290 290 Autriche Cyprus 14 15 15 0 0 0 14 15 15 0 0 0 Chypre Czech Republic 193 116 123 240 236 238 230 115 115 277 235 230 République tchèque Estonia 145 50 50 200 210 210 151 50 50 205 210 210 Estonie Finland 297 240 240 1,110 940 940 87 60 60 900 760 760 Finlande France 589 583 583 253 270 270 476 452 452 140 139 139 France Germany 1,073 1,154 840 85 80 80 1,319 1,281 1,000 330 207 240 Allemagne Hungary 136 110 107 60 61 63 138 138 138 62 90 94 Hongrie Italy 602 537 537 288 290 290 525 442 442 211 195 195 Italie Latvia 92 55 55 331 300 300 94 95 95 333 340 340 Lettonie Luxembourg 33 29 29 0 0 0 33 29 29 0 0 0 Luxembourg Malta 10 11 12 0 0 0 10 11 12 0 0 0 Malte Montenegro 2 2 2 1 1 1 2 2 2 1 1 1 Monténégro Netherlands 488 457 441 0 0 0 586 551 529 98 94 88 Pays-Bas Poland 650 640 670 539 515 530 468 475 480 357 350 340 Pologne Portugal 154 180 166 103 100 110 95 110 100 44 30 44 Portugal Serbia 40 36 38 19 18 19 34 30 33 13 12 14 Serbie Slovakia 67 63 63 153 150 150 59 59 59 146 146 146 Slovaquie Slovenia 49 50 58 94 90 98 26 30 30 71 70 70 Slovénie Spain 231 326 326 462 416 416 132 117 117 363 207 207 Espagne Sweden 278 160 160 90 90 90 236 120 120 48 50 50 Suède Switzerland 206 206 206 7 7 7 203 203 203 4 4 4 Suisse United Kingdom 1,254 1,180 1,180 0 0 0 1,320 1,250 1,250 66 70 70 Royaume-Uni Total Europe 6,623 6,215 5,916 4,166 3,930 3,967 6,422 5,786 5,482 3,965 3,501 3,532 Total Europe Uzbekistan 62 46 46 0 0 0 63 47 47 0 0 0 Ouzbékistan Total EECCA #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A 0 Total EOCAC Canada 2,174 2,028 2,123 1,604 1,557 1,526 1,224 1,058 1,241 654 587 644 Canada United States 14,742 14,890 15,188 9,254 9,345 9,528 6,259 6,317 6,436 771 772 776 Etats-Unis Total North America 16,916 16,918 17,311 10,858 10,902 11,054 7,483 7,375 7,677 1,425 1,359 1,420 Total Amérique du Nord

Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays

TABLE 4 PLYWOOD CONTREPLAQUES

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions 1000 m3

Apparent Consumption

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 951 630 630 2,280 2,170 2,170 313 355 355 1,642 1,895 1,895 Autriche Cyprus 49 46 46 0 0 0 49 46 46 0 0 0 Chypre Czech Republic 793 811 835 962 866 910 530 484 485 699 538 560 République tchèque Estonia 123 67 67 90 0 0 77 68 68 44 2 1 Estonie Finland 113 75 75 54 54 54 85 44 44 26 23 23 Finlande France 2,224 2,148 2,148 3,177 3,094 3,094 299 355 355 1,253 1,301 1,301 France Germany 5,572 5,220 4,970 5,526 5,195 5,020 1,970 1,934 1,900 1,924 1,909 1,950 Allemagne Hungary 408 384 379 447 428 438 264 282 272 303 326 331 Hongrie Italy 3,070 2,813 2,813 2,646 2,500 2,500 956 821 821 532 508 508 Italie Latvia 52 85 85 306 300 300 69 25 25 322 240 240 Lettonie Luxembourg 20 12 12 0 0 0 21 13 13 1 1 1 Luxembourg Malta 10 11 11 0 0 0 10 11 11 0 0 0 Malte Montenegro 32 33 34 0 0 0 32 33 34 0 0 0 Monténégro Netherlands 464 440 432 0 0 0 514 488 479 50 48 47 Pays-Bas Poland 6,501 6,450 6,740 5,227 5,150 5,450 2,173 2,180 2,200 899 880 910 Pologne Portugal 537 473 514 766 750 760 281 300 290 510 577 536 Portugal Serbia 373 351 371 219 210 220 196 184 198 42 43 47 Serbie Slovakia 352 343 340 676 675 675 148 140 137 473 473 472 Slovaquie Slovenia 137 110 110 0 0 0 143 114 114 6 4 4 Slovénie Spain 2,392 2,213 2,213 2,566 2,310 2,310 626 621 621 800 718 718 Espagne Sweden 1,055 868 868 636 600 600 475 335 335 57 67 67 Suède Switzerland 281 286 286 420 425 425 141 141 141 280 280 280 Suisse United Kingdom 2,606 2,542 2,542 2,012 1,982 1,982 648 610 610 55 50 50 Royaume-Uni Total Europe 28,115 26,410 26,521 28,012 26,710 26,908 10,021 9,584 9,555 9,917 9,883 9,942 Total Europe Uzbekistan 880 542 542 252 252 252 654 317 317 26 27 27 Ouzbékistan Total EECCA #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A 27 Total EOCAC Canada 1,466 1,886 1,894 1,625 2,032 2,012 552 504 491 710 650 609 Canada United States 5,196 5,565 5,562 4,488 4,552 4,534 1,193 1,465 1,487 485 452 459 Etats-Unis Total North America 6,663 7,451 7,456 6,113 6,584 6,546 1,745 1,969 1,978 1,195 1,102 1,068 Total Amérique du Nord Data are calculated by subtracting OSB from the particleboard/OSB total - les données sont calculées en soustrayant les OSB du total des panneaux de particules et OSB.

Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays

TABLE 5 PARTICLE BOARD (excluding OSB) PANNEAUX DE PARTICULES (ne comprennent pas l'OSB)

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions 1000 m3

Apparent Consumption

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 205 135 135 0 0 0 212 140 140 7 5 5 Autriche Cyprus 11 14 14 0 0 0 11 14 14 0 0 0 Chypre Czech Republic 380 342 350 689 620 655 126 113 115 435 392 420 République tchèque Estonia 55 32 32 0 0 0 55 32 32 1 0 0 Estonie Finland 56 56 56 0 0 0 56 56 56 0 0 0 Finlande France 427 522 522 302 406 406 222 165 165 96 49 49 France Germany 1,316 1,238 1,130 1,164 1,105 1,080 679 669 600 526 536 550 Allemagne Hungary 133 147 152 379 419 443 56 60 59 302 331 350 Hongrie Italy 346 287 287 100 100 100 346 274 274 100 87 87 Italie Latvia 196 165 165 674 650 650 76 75 75 554 560 560 Lettonie Luxembourg 110 135 135 338 338 338 6 14 14 234 217 217 Luxembourg Montenegro 2 2 2 0 0 0 2 2 2 0 0 0 Monténégro Netherlands 222 222 227 0 0 0 286 286 292 64 64 65 Pays-Bas Poland 655 650 760 647 650 750 302 320 350 294 320 340 Pologne Portugal 46 37 41 0 0 0 50 40 45 4 3 4 Portugal Serbia 40 35 41 0 0 0 41 36 42 1 1 1 Serbie Slovakia 48 58 60 0 0 0 48 60 63 1 3 3 Slovaquie Slovenia 31 24 24 0 0 0 33 26 26 2 2 2 Slovénie Spain 26 15 15 3 3 3 35 33 33 12 20 20 Espagne Sweden 94 92 92 0 0 0 97 95 95 3 3 3 Suède Switzerland 95 95 95 0 0 0 96 96 96 1 1 1 Suisse United Kingdom 773 758 758 598 598 598 365 350 350 190 190 190 Royaume-Uni Total Europe 5,268 5,060 5,092 4,894 4,888 5,023 3,200 2,956 2,938 2,826 2,784 2,868 Total Europe Uzbekistan 7 5 5 0 0 0 7 5 5 0 0 0 Ouzbékistan Total EECCA #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A 0 Total EOCAC Canada 1,546 1,253 1,153 7,270 6,820 6,798 82 65 61 5,806 5,632 5,706 Canada United States 19,658 19,834 20,197 13,592 13,783 14,059 6,198 6,236 6,326 132 185 188 Etats-Unis Total North America 21,204 21,087 21,350 20,862 20,603 20,857 6,280 6,301 6,387 5,938 5,817 5,894 Total Amérique du Nord

Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays

TABLE 5a ORIENTED STRAND BOARD (OSB) PANNEAUX STRUCTURAUX ORIENTES (OSB)

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions 1000 m3

Apparent Consumption

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 421 386 386 470 395 395 331 308 308 381 316 316 Autriche Cyprus 20 15 16 0 0 0 20 15 16 0 0 0 Chypre Czech Republic 328 276 280 41 41 42 438 347 360 151 112 122 République tchèque Estonia 70 46 47 75 40 40 65 46 47 70 40 40 Estonie Finland 139 105 105 44 44 44 141 102 102 46 41 41 Finlande France 828 915 915 1,238 1,035 1,035 721 772 772 1,130 892 892 France Germany 3,791 3,437 3,325 5,194 4,900 4,800 1,590 1,543 1,470 2,993 3,006 2,945 Allemagne Hungary 9 -17 -13 21 0 0 204 235 244 215 253 258 Hongrie Italy 1,862 1,661 1,661 827 818 818 1,281 974 974 245 131 131 Italie Latvia 60 50 40 48 50 50 62 65 65 50 65 75 Lettonie Luxembourg 100 90 90 147 147 147 34 19 19 80 76 76 Luxembourg Malta 6 7 7 0 0 0 6 7 7 0 0 0 Malte Montenegro 32 32 33 0 0 0 32 32 33 0 0 0 Monténégro Netherlands 332 310 296 29 29 29 465 431 412 162 150 145 Pays-Bas Poland 3,808 3,765 4,020 4,960 4,920 5,080 590 585 630 1,743 1,740 1,690 Pologne Portugal 534 485 529 526 520 560 338 315 335 330 350 366 Portugal Serbia 74 74 88 19 20 22 71 73 88 16 19 22 Serbie Slovakia 210 218 223 0 0 0 248 256 262 39 38 39 Slovaquie Slovenia 24 15 15 132 120 125 28 25 30 136 130 140 Slovénie Spain 920 894 894 1,430 1,287 1,287 462 355 355 972 748 748 Espagne Sweden 301 260 260 0 0 0 425 360 360 124 100 100 Suède Switzerland 238 238 238 97 97 97 308 308 308 167 167 167 Suisse United Kingdom 1,692 1,630 1,630 856 850 850 895 840 840 60 60 60 Royaume-Uni Total Europe 15,799 14,892 15,085 16,153 15,313 15,421 8,755 8,013 8,037 9,110 8,434 8,373 Total Europe Uzbekistan 1,092 809 809 47 47 47 1,057 771 771 13 9 9 Ouzbékistan Total EECCA #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A Total EOCAC Canada 1,236 1,183 1,181 1,277 1,288 1,299 818 628 605 859 733 723 Canada United States 8,684 8,749 8,888 6,362 6,420 6,571 3,359 3,289 3,310 1,038 960 993 Etats-Unis Total North America 9,920 9,932 10,069 7,639 7,708 7,870 4,177 3,917 3,915 1,896 1,693 1,716 Total Amérique du Nord

Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays

TABLE 6 FIBREBOARD PANNEAUX DE FIBRES

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions 1000 m3

Apparent Consumption

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 29 28 28 54 43 43 18 16 16 43 32 32 Autriche Cyprus 2 1 2 0 0 0 2 1 2 0 0 0 Chypre Czech Republic 43 45 45 0 0 0 61 59 60 18 14 15 République tchèque Estonia 23 15 19 0 0 0 30 16 20 7 1 1 Estonie Finland 23 21 21 44 44 44 21 15 15 41 38 38 Finlande France 55 55 55 221 221 221 207 207 207 373 373 373 France Germany 176 183 165 0 0 0 200 203 180 23 20 15 Allemagne Hungary 27 41 45 2 0 0 65 81 85 40 40 40 Hongrie Italy 280 280 280 16 16 16 283 283 283 19 19 19 Italie Latvia 1 5 5 15 15 15 18 20 20 32 30 30 Lettonie Luxembourg -31 -12 -12 0 0 0 3 8 8 34 20 20 Luxembourg Montenegro 1 1 1 0 0 0 1 1 1 0 0 0 Monténégro Netherlands 44 41 39 0 0 0 63 58 56 19 17 17 Pays-Bas Poland -179 -120 -50 80 80 80 88 100 120 347 300 250 Pologne Portugal 50 30 39 0 0 0 61 40 50 11 10 11 Portugal Serbia 39 35 38 19 20 22 33 31 34 13 16 18 Serbie Slovakia 21 20 21 0 0 0 21 21 22 1 1 1 Slovaquie Slovenia -1 0 1 0 0 0 4 2 4 4 2 3 Slovénie Spain 17 15 15 32 29 29 46 46 46 61 60 60 Espagne Sweden 47 30 30 0 0 0 116 110 110 70 80 80 Suède Switzerland 19 19 19 0 0 0 24 24 24 5 5 5 Suisse United Kingdom 101 90 90 0 0 0 110 100 100 9 10 10 Royaume-Uni Total Europe 787 822 895 482 468 470 1,474 1,441 1,463 1,169 1,087 1,037 Total Europe Uzbekistan 89 50 50 0 0 0 90 50 50 0 0 0 Ouzbékistan Total EECCA #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A Total EOCAC Canada 33 47 42 90 90 90 52 27 28 109 70 76 Canada United States 481 509 514 437 504 509 259 255 258 215 250 253 Etats-Unis Total North America 514 556 556 527 594 599 311 282 286 324 320 329 Total Amérique du Nord

Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays

TABLE 6a HARDBOARD PANNEAUX DURS

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions 1000 m3

Apparent Consumption

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 260 230 230 416 351 351 177 160 160 333 281 281 Autriche Cyprus 16 12 12 0 0 0 16 12 12 0 0 0 Chypre Czech Republic 199 157 160 41 41 42 180 135 140 22 19 22 République tchèque Estonia 18 21 18 0 0 0 33 28 25 15 7 7 Estonie Finland 82 67 67 0 0 0 86 70 70 4 3 3 Finlande France 708 794 794 954 751 751 337 388 388 583 345 345 France Germany 1,870 1,728 1,720 3,792 3,700 3,650 424 395 370 2,345 2,367 2,300 Allemagne Hungary -39 -65 -62 0 0 0 136 148 156 175 213 218 Hongrie Italy 1,501 1,299 1,299 809 800 800 913 606 606 221 107 107 Italie Latvia 52 40 30 33 35 35 22 25 25 2 20 30 Lettonie Luxembourg 128 98 98 147 147 147 27 7 7 46 56 56 Luxembourg Malta 5 5 5 0 0 0 5 5 5 0 0 0 Malte Montenegro 31 31 32 0 0 0 31 31 32 0 0 0 Monténégro Netherlands 220 205 196 0 0 0 361 336 322 141 131 126 Pays-Bas Poland 3,066 3,020 3,130 3,052 3,030 3,100 470 450 470 456 460 440 Pologne Portugal 447 440 465 494 500 530 257 260 265 305 320 330 Portugal Serbia 31 35 46 0 0 0 34 38 50 3 3 4 Serbie Slovakia 135 135 135 0 0 0 170 170 170 35 35 35 Slovaquie Slovenia 24 15 14 132 120 125 24 23 26 131 128 137 Slovénie Spain 835 821 821 1,334 1,201 1,201 397 302 302 897 682 682 Espagne Sweden 254 225 225 0 0 0 284 230 230 30 5 5 Suède Switzerland 24 24 24 97 97 97 88 88 88 161 161 161 Suisse United Kingdom 1,553 1,510 1,510 856 850 850 739 700 700 42 40 40 Royaume-Uni Total Europe 11,419 10,847 10,969 12,157 11,623 11,679 5,210 4,606 4,618 5,948 5,382 5,328 Total Europe Uzbekistan 671 513 513 46 46 46 629 469 469 3 2 2 Ouzbékistan Total EECCA #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A Total EOCAC Canada 1,053 999 1,005 1,087 1,098 1,109 608 472 449 641 570 553 Canada United States 5,156 5,228 5,226 2,746 2,778 2,786 2,939 2,874 2,866 529 424 426 Etats-Unis Total North America 6,209 6,227 6,231 3,833 3,876 3,895 3,547 3,346 3,315 1,170 994 979 Total Amérique du Nord

Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays

TABLE 6b MDF/HDF

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions 1000 m3

Apparent Consumption

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 131 128 128 0 0 0 136 132 132 4 3 3 Autriche Cyprus 2 2 2 0 0 0 3 2 2 0 0 0 Chypre Czech Republic 86 74 75 0 0 0 197 154 160 111 80 85 République tchèque Estonia 29 10 10 75 40 40 3 2 2 49 32 32 Estonie Finland 33 17 17 0 0 0 34 17 17 0 0 0 Finlande France 65 66 66 63 63 63 177 177 177 174 174 174 France Germany 1,745 1,526 1,440 1,402 1,200 1,150 966 945 920 624 619 630 Allemagne Hungary 21 7 4 19 0 0 3 7 4 0 0 0 Hongrie Italy 82 82 82 3 3 3 85 85 85 6 6 6 Italie Latvia 7 5 5 0 0 0 23 20 20 16 15 15 Lettonie Luxembourg 4 4 4 0 0 0 4 4 4 0 0 0 Luxembourg Malta 1 2 2 0 0 0 1 2 2 0 0 0 Malte Netherlands 68 64 61 29 29 29 41 37 34 2 2 2 Pays-Bas Poland 920 865 940 1,828 1,810 1,900 33 35 40 940 980 1,000 Pologne Portugal 37 15 25 32 20 30 20 15 20 15 20 25 Portugal Serbia 4 4 4 0 0 0 4 4 4 0 0 0 Serbie Slovakia 54 63 67 0 0 0 57 65 70 3 2 3 Slovaquie Slovenia 0 0 0 0 0 0 0 0 0 0 0 0 Slovénie Spain 69 59 59 64 58 58 20 7 7 15 6 6 Espagne Sweden 0 5 5 0 0 0 25 20 20 24 15 15 Suède Switzerland 195 195 195 0 0 0 196 196 196 1 1 1 Suisse United Kingdom 38 30 30 0 0 0 47 40 40 9 10 10 Royaume-Uni Total Europe 3,592 3,223 3,221 3,514 3,222 3,272 2,071 1,965 1,956 1,993 1,965 2,007 Total Europe Uzbekistan 331 246 246 2 2 2 339 252 252 10 7 7 Ouzbékistan Total EECCA #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A Total EOCAC Canada 150 137 134 100 100 100 158 129 128 108 92 94 Canada United States 3,047 3,012 3,148 3,179 3,138 3,276 161 160 186 294 286 314 Etats-Unis Total North America 3,196 3,149 3,282 3,279 3,238 3,376 319 289 314 402 378 408 Total Amérique du Nord

Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays

TABLE 6c OTHER FIBREBOARD AUTRES PANNEAUX DE FIBRES

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions 1000 m3

Apparent Consumption

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 2,209 1,950 2,030 1,977 1,700 1,800 630 610 630 399 360 400 Autriche Czech Republic 847 688 700 640 525 540 324 259 260 117 96 100 République tchèque Estonia 70 75 80 227 180 180 42 50 50 199 155 150 Estonie Finland a 5,468 4,483 4,614 9,200 8,690 9,360 355 150 150 4,087 4,357 4,896 Finlande a

France 2,898 2,420 2,500 1,666 1,300 1,350 1,715 1,450 1,500 483 330 350 France Germany 5,092 4,600 5,000 2,172 1,850 2,000 4,173 3,900 4,200 1,253 1,150 1,200 Allemagne Hungary 205 206 214 66 77 87 141 133 131 3 3 4 Hongrie Italy 3,466 3,466 3,466 223 223 223 3,536 3,536 3,536 293 293 293 Italie Latvia 7 7 7 12 13 13 7 7 7 12 13 13 Lettonie Netherlands 443 442 442 37 37 37 1,717 1,717 1,717 1,312 1,312 1,312 Pays-Bas Poland 2,836 2,830 2,930 1,729 1,710 1,750 1,291 1,300 1,320 183 180 140 Pologne Portugal 1,757 1,735 1,760 2,869 2,870 2,870 140 145 150 1,252 1,280 1,260 Portugal Serbia 82 88 92 0 0 0 82 88 92 0 0 0 Serbie Slovakia 700 700 715 692 700 725 173 170 170 166 170 180 Slovaquie Slovenia 322 321 316 73 63 68 249 260 250 1 2 2 Slovénie Spain 1,520 1,328 1,328 1,120 1,120 1,120 1,176 976 976 775 768 768 Espagne Sweden 8,438 7,600 7,950 11,631 10,900 11,400 641 600 600 3,834 3,900 4,050 Suède Switzerland 188 188 188 87 87 87 101 101 101 0 0 0 Suisse United Kingdom 1,057 940 950 220 200 200 838 740 750 1 0 0 Royaume-Uni Total Europe 37,604 34,067 35,282 34,641 32,244 33,809 17,333 16,193 16,590 14,369 14,369 15,118 Total Europe Uzbekistan 38 28 28 1 1 1 37 28 28 0 0 0 Ouzbékistan Total EECCA #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A Total EOCAC Canada 6,007 5,851 5,616 14,200 13,102 12,638 472 582 640 8,665 7,833 7,662 Canada United States 39,787 42,269 42,815 40,822 41,230 41,478 6,948 7,643 8,254 7,983 6,603 6,917 Etats-Unis Total North America 45,794 48,121 48,431 55,022 54,332 54,116 7,420 8,224 8,894 16,648 14,436 14,579 Total Amérique du Nord

a imports exclude dissolving pulp a les importations excluent pâte à dissoudre

Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays

TABLE 7 WOOD PULP PATE DE BOIS

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions 1000 mt

Apparent Consumption

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 2,133 1,750 2,050 4,633 3,500 4,000 1,231 1,050 1,150 3,730 2,800 3,100 Autriche Cyprus 56 48 48 0 0 0 56 48 48 0 0 0 Chypre Czech Republic 1,467 1,234 1,258 938 769 785 1,531 1,286 1,312 1,002 822 838 République tchèque Estonia 120 111 111 57 35 35 123 102 102 59 26 26 Estonie Finland 514 475 460 7,200 5,990 6,150 333 275 280 7,019 5,790 5,970 Finlande France 8,272 7,290 7,400 7,092 6,240 6,600 4,845 4,650 4,600 3,665 3,600 3,800 France Germany 17,836 14,600 17,000 21,612 17,500 21,000 9,302 8,000 9,500 13,078 10,900 13,500 Allemagne Hungary 1,213 1,167 1,212 1,057 1,003 1,034 877 892 898 720 727 721 Hongrie Italy 11,390 11,390 11,390 8,696 8,696 8,696 5,800 5,800 5,800 3,106 3,106 3,106 Italie Latvia 168 175 175 29 30 30 173 180 180 33 35 35 Lettonie Luxembourg 26 14 14 0 0 0 27 15 15 1 1 1 Luxembourg Malta 26 27 28 0 0 0 26 27 28 0 0 0 Malte Netherlands 2,814 2,760 2,760 2,884 2,827 2,827 2,180 2,096 2,096 2,250 2,163 2,163 Pays-Bas Poland 7,532 7,400 7,550 5,237 5,130 5,250 4,869 4,870 4,950 2,574 2,600 2,650 Pologne Portugal 1,090 1,200 1,240 2,123 2,200 2,240 948 940 945 1,981 1,940 1,945 Portugal Serbia 790 762 778 483 481 490 514 490 500 207 209 212 Serbie Slovakia 565 575 600 967 975 1,000 457 450 475 859 850 875 Slovaquie Slovenia 412 390 390 591 500 500 367 390 390 545 500 500 Slovénie Spain 7,060 6,778 6,778 6,355 6,355 6,355 2,997 2,577 2,577 2,291 2,154 2,154 Espagne Sweden 834 700 750 8,531 7,300 8,100 894 700 750 8,591 7,300 8,100 Suède Switzerland 1,020 1,015 1,010 1,160 1,155 1,150 640 635 630 780 775 770 Suisse United Kingdom 7,420 6,280 6,440 3,460 3,190 3,250 5,015 4,150 4,250 1,055 1,060 1,060 Royaume-Uni Total Europe 72,758 66,140 69,442 83,103 73,876 79,492 43,204 39,623 41,476 53,549 47,358 51,526 Total Europe Uzbekistan 335 297 297 142 142 142 214 171 171 21 17 17 Ouzbékistan Total EECCA #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A Total EOCAC Canada 5,505 6,069 6,231 9,094 9,124 9,155 2,516 2,242 2,235 6,105 5,298 5,159 Canada United States 64,243 62,896 63,029 65,959 64,476 64,476 8,202 8,180 8,159 9,917 9,761 9,606 Etats-Unis Total North America 69,748 68,964 69,260 75,053 73,600 73,631 10,718 10,423 10,395 16,023 15,059 14,765 Total Amérique du Nord

Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays

TABLE 8 PAPER AND PAPERBOARD PAPIERS ET CARTONS

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions 1000 mt

Apparent Consumption

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 13,935 11,716 12,225 10,711 8,904 9,338 3,223 2,812 2,887 0 0 0 5,424 5,115 5,234 19,359 16,831 17,459 Autriche Cyprus 3 2 2 2 2 2 0 0 0 0 0 0 11 9 8 14 11 10 Chypre Czech Republic 20,708 15,535 14,897 14,635 10,617 10,106 5,965 4,804 4,675 108 113 115 4,405 3,965 3,900 25,113 19,499 18,797 République tchèque Estonia 6,474 6,401 6,401 4,276 4,200 4,200 2,148 2,150 2,150 51 51 51 4,066 3,800 3,800 10,541 10,201 10,201 Estonie Finland 56,246 53,397 55,435 25,699 22,749 23,412 30,547 30,648 32,023 0 0 0 9,340 9,340 9,340 65,586 62,737 64,775 Finlande France 25,648 25,270 25,070 17,198 17,200 17,300 7,891 7,500 7,200 559 570 570 24,173 24,500 25,600 49,821 49,770 50,670 France Germany 56,534 53,930 49,630 44,756 41,200 39,500 11,644 12,600 10,000 135 130 130 22,338 22,700 22,700 78,872 76,630 72,330 Allemagne Hungary 2,901 2,881 2,881 1,410 1,374 1,399 912 995 1,008 579 512 475 3,626 3,284 3,397 6,527 6,165 6,278 Hongrie Italy 2,838 3,540 3,540 1,890 1,890 1,890 316 1,018 1,018 632 632 632 10,839 10,839 10,839 13,677 14,379 14,379 Italie Latvia 12,491 12,150 12,350 7,603 7,250 7,450 3,868 3,800 3,800 1,020 1,100 1,100 2,936 3,000 3,000 15,427 15,150 15,350 Lettonie Luxembourg 231 197 193 147 144 133 56 38 38 27 15 22 40 45 43 271 242 235 Luxembourg Montenegro 751 697 678 515 492 487 201 198 186 35 7 5 194 193 190 945 890 868 Monténégro Netherlands 614 599 589 221 220 215 352 340 335 41 39 39 2,382 2,380 2,385 2,996 2,979 2,974 Pays-Bas Poland 38,735 39,880 40,850 18,533 18,800 19,150 19,350 20,100 20,550 852 980 1,150 6,958 7,420 7,750 45,693 47,300 48,600 Pologne Portugal 12,235 12,330 12,190 2,038 2,040 2,060 9,799 9,850 9,700 399 440 430 2,383 2,380 2,300 14,619 14,710 14,490 Portugal Serbia 1,478 1,520 1,561 1,077 1,104 1,130 265 275 283 136 141 148 6,574 6,646 6,760 8,052 8,166 8,321 Serbie Slovakia 6,827 6,820 6,880 4,130 4,080 4,100 2,672 2,710 2,750 25 30 30 609 610 650 7,435 7,430 7,530 Slovaquie Slovenia 2,928 3,752 3,482 2,184 2,780 2,600 698 920 830 45 52 52 1,149 1,290 1,270 4,076 5,042 4,752 Slovénie Spain 14,366 15,244 15,244 4,150 4,404 4,404 9,813 10,413 10,413 403 427 427 3,555 3,772 3,772 17,921 19,016 19,016 Espagne Sweden 71,165 69,076 69,310 38,280 37,480 37,080 32,585 31,296 31,930 300 300 300 6,000 6,016 6,016 77,165 75,092 75,326 Suède Switzerland 3,011 3,082 3,142 2,555 2,625 2,680 444 445 450 12 12 12 1,938 2,000 2,025 4,949 5,082 5,167 Suisse United Kingdom 7,604 7,193 7,193 5,509 5,236 5,236 1,646 1,529 1,529 448 428 428 2,184 2,184 2,184 9,788 9,377 9,377 Royaume-Uni Total Europe 357,723 345,212 343,742 207,519 194,791 193,872 144,397 144,441 143,754 5,807 5,980 6,116 121,124 121,488 123,163 478,847 466,699 466,905 Total Europe Canada 142,131 140,499 140,499 124,900 123,350 123,350 15,040 14,864 14,864 2,190 2,285 2,285 1,683 1,908 1,908 143,814 142,407 142,407 Canada United States 382,544 384,963 388,611 186,157 188,221 191,211 182,650 182,996 183,637 13,737 13,746 13,763 76,230 76,240 76,278 458,774 461,203 464,889 Etats-Unis Total North America 524,675 525,462 529,110 311,057 311,571 314,561 197,690 197,861 198,501 15,927 16,031 16,048 77,913 78,148 78,186 602,587 603,610 607,296 Total Amérique du Nord

a Pulpwood, round and split, as well as chips and particles produced directly a Bois de trituration, rondins et quartiers, ainse que plaquettes et particules fabriquées therefrom and used as pulpwood directement à partir des rondins et quartiers et utilisées comme bois de trituration

b Pitprops, poles, piling, posts etc. b Bois de mine, poteaux, pilotis, piquets etc. c Including chips and particles produced from wood in the rough and c Y compris plaquettes et particules fabriquées à partir du bois brut et utilisées

used for energy purposes à des fins energétiques

Total Logs Pulpwood a Other b Total Grumes Bois de trituration a Autre bCountry

Industrial wood - Bois industriels

TABLE 9 REMOVALS OF WOOD IN THE ROUGH QUANTITES ENLEVEES DE BOIS BRUT

TOTAL TOTAL 1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

Wood fuel c

Bois de chauffage c Pays

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 12,958 10,873 11,338 10,382 8,638 9,038 2,576 2,235 2,300 0 0 0 3,248 3,069 3,140 16,206 13,942 14,478 Autriche Cyprus 2 2 2 2 2 2 0 0 0 0 0 0 10 8 7 12 10 9 Chypre Czech Republic 19,440 14,455 13,825 14,019 10,094 9,589 5,316 4,253 4,125 105 109 111 3,610 3,249 3,200 23,050 17,704 17,025 République tchèque Estonia 4,023 3,927 3,927 3,118 3,000 3,000 878 900 900 26 27 27 1,486 1,400 1,400 5,509 5,327 5,327 Estonie Finland 47,408 45,464 47,590 24,662 21,700 22,351 22,746 23,764 25,239 0 0 0 4,593 4,593 4,593 52,001 50,057 52,183 Finlande France 17,300 17,070 16,770 12,491 12,500 12,500 4,559 4,300 4,000 250 270 270 2,417 2,500 2,600 19,717 19,570 19,370 France Germany 52,425 50,120 46,120 41,761 38,500 37,000 10,541 11,500 9,000 123 120 120 8,834 9,200 9,200 61,259 59,320 55,320 Allemagne Hungary 688 759 743 175 201 208 411 488 481 102 70 53 383 294 333 1,071 1,053 1,076 Hongrie Italy 1,797 2,502 2,502 1,169 1,169 1,169 148 853 853 480 480 480 1,180 1,180 1,180 2,977 3,682 3,682 Italie Latvia 8,253 7,900 8,100 5,873 5,500 5,700 1,850 1,800 1,800 530 600 600 298 300 300 8,551 8,200 8,400 Lettonie Luxembourg 162 143 145 124 122 115 10 6 8 27 15 22 17 11 12 178 154 158 Luxembourg Montenegro 573 553 537 372 352 349 201 198 186 0 3 2 66 65 63 639 618 600 Monténégro Netherlands 449 440 430 173 170 165 244 240 235 32 30 30 457 450 450 906 890 880 Pays-Bas Poland 31,941 32,800 33,470 15,775 16,000 16,250 15,411 15,950 16,250 754 850 970 3,627 3,820 3,950 35,568 36,620 37,420 Pologne Portugal 3,045 3,210 3,150 1,682 1,710 1,700 1,213 1,350 1,300 150 150 150 996 990 980 4,041 4,200 4,130 Portugal Serbia 279 290 301 178 184 190 66 70 73 35 36 38 141 146 160 420 436 461 Serbie Slovakia 3,325 3,160 3,120 2,559 2,430 2,400 748 710 700 18 20 20 259 260 275 3,584 3,420 3,395 Slovaquie Slovenia 1,966 2,586 2,386 1,687 2,150 2,000 275 430 380 4 6 6 191 240 220 2,157 2,826 2,606 Slovénie Spain 7,435 7,889 7,889 3,420 3,629 3,629 3,754 3,984 3,984 261 277 277 2,243 2,380 2,380 9,678 10,269 10,269 Espagne Sweden 64,603 62,760 62,873 38,100 37,300 36,900 26,353 25,310 25,823 150 150 150 3,000 3,008 3,008 67,603 65,768 65,881 Suède Switzerland 2,578 2,639 2,689 2,290 2,350 2,400 279 280 280 9 9 9 769 770 775 3,347 3,409 3,464 Suisse United Kingdom 7,486 7,076 7,076 5,453 5,180 5,180 1,633 1,516 1,516 400 380 380 1,571 1,571 1,571 9,058 8,647 8,647 Royaume-Uni Total Europe 288,136 276,619 274,984 185,467 172,881 171,836 99,212 100,136 99,433 3,458 3,602 3,715 39,396 39,504 39,798 327,533 316,123 314,781 Total Europe Canada 114,659 112,907 112,907 110,046 108,424 108,424 4,229 4,021 4,021 384 462 462 806 946 946 115,465 113,853 113,853 Canada United States 306,119 309,360 313,639 152,799 154,479 156,695 141,226 142,779 144,827 12,094 12,102 12,117 37,619 37,609 37,606 343,738 346,969 351,245 Etats-Unis Total North America 420,778 422,267 426,546 262,845 262,903 265,119 145,455 146,800 148,848 12,478 12,564 12,579 38,425 38,555 38,552 459,203 460,822 465,098 Total Amérique du Nord

a Pulpwood, round and split, as well as chips and particles produced directly a Bois de trituration, rondins et quartiers, ainse que plaquettes et particules fabriquées therefrom and used as pulpwood directement à partir des rondins et quartiers et utilisées comme bois de trituration

b Pitprops, poles, piling, posts etc. b Bois de mine, poteaux, pilotis, piquets etc. c Including chips and particles produced from wood in the rough and c Y compris plaquettes et particules fabriquées à partir du bois brut et utilisées

used for energy purposes à des fins energétiques

Total Logs Pulpwood a Other b Total Grumes Bois de trituration a Autre bCountry

Industrial wood - Bois industriels

TABLE 9a REMOVALS OF WOOD IN THE ROUGH QUANTITES ENLEVEES DE BOIS BRUT

SOFTWOOD CONIFERES 1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

Wood fuel c

Bois de chauffage c Pays

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 977 843 887 329 266 300 647 577 587 0 0 0 2,176 2,046 2,094 3,153 2,889 2,981 Autriche Cyprus 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 Chypre Czech Republic 1,268 1,079 1,071 616 524 517 649 552 550 3 4 4 795 716 700 2,063 1,795 1,771 République tchèque Estonia 2,452 2,474 2,474 1,158 1,200 1,200 1,270 1,250 1,250 24 24 24 2,580 2,400 2,400 5,032 4,874 4,874 Estonie Finland 8,838 7,933 7,845 1,037 1,049 1,061 7,801 6,884 6,784 0 0 0 4,747 4,747 4,747 13,585 12,680 12,592 Finlande France 8,348 8,200 8,300 4,707 4,700 4,800 3,332 3,200 3,200 309 300 300 21,756 22,000 23,000 30,104 30,200 31,300 France Germany 4,110 3,810 3,510 2,995 2,700 2,500 1,103 1,100 1,000 12 10 10 13,504 13,500 13,500 17,613 17,310 17,010 Allemagne Hungary 2,213 2,122 2,138 1,234 1,173 1,191 502 507 526 477 442 421 3,244 2,990 3,064 5,456 5,112 5,202 Hongrie Italy 1,041 1,038 1,038 721 721 721 168 166 166 152 152 152 9,659 9,659 9,659 10,700 10,697 10,697 Italie Latvia 4,238 4,250 4,250 1,730 1,750 1,750 2,018 2,000 2,000 490 500 500 2,638 2,700 2,700 6,876 6,950 6,950 Lettonie Luxembourg 69 54 47 23 22 18 46 32 30 0 0 0 23 34 30 92 89 78 Luxembourg Montenegro 178 144 141 143 140 138 0 0 0 35 4 3 128 128 127 306 272 268 Monténégro Netherlands 165 159 159 48 50 50 108 100 100 9 9 9 1,925 1,930 1,935 2,090 2,089 2,094 Pays-Bas Poland 6,794 7,080 7,380 2,757 2,800 2,900 3,939 4,150 4,300 98 130 180 3,331 3,600 3,800 10,125 10,680 11,180 Pologne Portugal 9,190 9,120 9,040 356 330 360 8,586 8,500 8,400 249 290 280 1,387 1,390 1,320 10,578 10,510 10,360 Portugal Serbia 1,199 1,230 1,260 899 920 940 199 205 210 101 105 110 6,433 6,500 6,600 7,632 7,730 7,860 Serbie Slovakia 3,502 3,660 3,760 1,570 1,650 1,700 1,924 2,000 2,050 8 10 10 350 350 375 3,851 4,010 4,135 Slovaquie Slovenia 962 1,166 1,096 497 630 600 424 490 450 41 46 46 957 1,050 1,050 1,919 2,216 2,146 Slovénie Spain 6,931 7,354 7,354 730 775 775 6,059 6,429 6,429 142 151 151 1,312 1,392 1,392 8,243 8,746 8,746 Espagne Sweden 6,562 6,316 6,437 180 180 180 6,232 5,986 6,107 150 150 150 3,000 3,008 3,008 9,562 9,324 9,445 Suède Switzerland 433 443 453 265 275 280 165 165 170 3 3 3 1,169 1,230 1,250 1,602 1,673 1,703 Suisse United Kingdom 118 117 117 56 56 56 13 13 13 48 48 48 613 613 613 730 730 730 Royaume-Uni Total Europe 69,587 68,593 68,759 22,052 21,910 22,036 45,185 44,305 44,322 2,350 2,377 2,401 81,728 81,984 83,365 151,314 150,576 152,124 Total Europe Canada 27,472 27,592 27,592 14,854 14,926 14,926 10,812 10,843 10,843 1,806 1,823 1,823 877 961 961 28,349 28,554 28,554 Canada United States 76,425 75,603 74,972 33,358 33,742 34,516 41,424 40,217 38,810 1,643 1,644 1,646 38,611 38,631 38,672 115,036 114,234 113,644 Etats-Unis Total North America 103,897 103,196 102,564 48,212 48,668 49,442 52,236 51,060 49,653 3,449 3,467 3,469 39,488 39,592 39,633 143,385 142,788 142,197 Total Amérique du Nord

a Pulpwood, round and split, as well as chips and particles produced directly a Bois de trituration, rondins et quartiers, ainse que plaquettes et particules fabriquées therefrom and used as pulpwood directement à partir des rondins et quartiers et utilisées comme bois de trituration

b Pitprops, poles, piling, posts etc. b Bois de mine, poteaux, pilotis, piquets etc. c Including chips and particles produced from wood in the rough and c Y compris plaquettes et particules fabriquées à partir du bois brut et utilisées

used for energy purposes à des fins energétiques

Total Logs Pulpwood a Other b Total Grumes Bois de trituration a Autre bCountry

Industrial wood - Bois industriels

TABLE 9b REMOVALS OF WOOD IN THE ROUGH QUANTITES ENLEVEES DE BOIS BRUT

HARDWOOD NON-CONIFERES 1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

Wood fuel c

Bois de chauffage c Pays

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 16,101 13,943 13,638 10,382 8,638 9,038 6,664 5,710 5,000 945 405 400 Autriche Cyprus 2 2 2 2 2 2 0 0 0 0 0 0 Chypre Czech Republic 8,002 6,511 6,962 14,019 10,094 9,589 411 596 715 6,428 4,178 3,343 République tchèque Estonia 3,533 3,270 3,270 3,118 3,000 3,000 522 450 450 107 180 180 Estonie Finland 24,310 21,336 21,991 24,662 21,700 22,351 127 79 83 479 443 443 Finlande France 12,053 12,120 12,120 12,491 12,500 12,500 335 360 360 773 740 740 France Germany 39,391 35,800 34,900 41,761 38,500 37,000 3,300 3,000 3,100 5,670 5,700 5,200 Allemagne Hungary 175 201 208 175 201 208 0 0 0 0 0 0 Hongrie Italy 1,645 1,396 1,396 1,169 1,169 1,169 580 457 457 104 230 230 Italie Latvia 6,471 5,830 6,200 5,873 5,500 5,700 1,147 900 900 549 570 400 Lettonie Luxembourg 465 403 396 124 122 115 693 424 424 352 143 143 Luxembourg Montenegro 382 361 357 372 352 349 10 9 8 0 0 0 Monténégro Netherlands 133 145 145 173 170 165 77 80 80 117 105 100 Pays-Bas Poland 14,243 14,500 14,800 15,775 16,000 16,250 1,245 1,400 1,550 2,777 2,900 3,000 Pologne Portugal 1,880 1,905 1,900 1,682 1,710 1,700 241 230 240 43 35 40 Portugal Serbia 188 187 194 178 184 190 12 9 12 2 6 8 Serbie Slovakia 3,059 3,030 3,100 2,559 2,430 2,400 900 950 1,000 400 350 300 Slovaquie Slovenia 1,643 1,650 1,630 1,687 2,150 2,000 239 150 180 283 650 550 Slovénie Spain 3,223 3,307 3,307 3,420 3,629 3,629 240 185 185 437 507 507 Espagne Sweden 38,103 37,725 37,325 38,100 37,300 36,900 964 1,128 1,128 961 703 703 Suède Switzerland 2,035 2,100 2,155 2,290 2,350 2,400 55 60 65 310 310 310 Suisse United Kingdom 5,810 5,538 5,538 5,453 5,180 5,180 457 457 457 99 99 99 Royaume-Uni Total Europe 182,849 171,260 171,534 185,467 172,881 171,836 18,218 16,634 16,394 20,836 18,255 16,696 Total Europe Canada 105,870 103,492 103,916 110,046 108,424 108,424 1,346 1,402 1,309 5,522 6,333 5,816 Canada United States 148,043 150,509 153,391 152,799 154,479 156,695 586 570 555 5,342 4,540 3,859 Etats-Unis Total North America 253,913 254,001 257,307 262,845 262,903 265,119 1,931 1,972 1,864 10,863 10,873 9,675 Total Amérique du Nord

a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce

Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays

TABLE 10 SOFTWOOD SAWLOGS GRUMES DE SCIAGES DES CONIFERES

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions 1000 m3

Apparent Consumption a

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 406 311 300 329 266 300 134 90 50 57 45 50 Autriche Czech Republic 544 457 447 616 524 517 144 120 125 216 186 195 République tchèque Estonia 1,187 1,244 1,244 1,158 1,200 1,200 46 60 60 16 16 16 Estonie Finland 1,068 1,041 1,061 1,037 1,049 1,061 32 1 9 1 9 9 Finlande France 3,453 4,020 4,120 4,707 4,700 4,800 116 120 120 1,370 800 800 France Germany 2,532 2,290 2,130 2,995 2,700 2,500 111 110 110 574 520 480 Allemagne Hungary 1,234 1,173 1,191 1,234 1,173 1,191 0 0 0 0 0 0 Hongrie Italy 2,088 1,718 1,718 721 721 721 1,413 1,055 1,055 47 59 59 Italie Latvia 1,221 1,190 1,410 1,730 1,750 1,750 87 40 60 596 600 400 Lettonie Luxembourg 226 148 144 23 22 18 221 160 160 18 34 34 Luxembourg Montenegro 143 140 138 143 140 138 0 0 0 0 0 0 Monténégro Netherlands 54 60 60 48 50 50 54 60 60 48 50 50 Pays-Bas Poland 2,687 2,730 2,830 2,757 2,800 2,900 80 80 80 150 150 150 Pologne Portugal 997 885 925 356 330 360 663 580 590 22 25 25 Portugal Serbia 894 922 946 899 920 940 15 20 28 20 18 22 Serbie Slovakia 1,670 1,700 1,750 1,570 1,650 1,700 500 450 450 400 400 400 Slovaquie Slovenia 281 290 280 497 630 600 31 30 30 247 370 350 Slovénie Spain 833 854 854 730 775 775 164 174 174 61 94 94 Espagne Sweden 217 217 217 180 180 180 37 37 37 0 0 0 Suède Switzerland 145 155 160 265 275 280 35 40 40 155 160 160 Suisse United Kingdom 78 77 77 56 56 56 26 26 26 5 5 5 Royaume-Uni Total Europe 21,959 21,622 22,002 22,052 21,910 22,036 3,910 3,253 3,265 4,003 3,541 3,299 Total Europe Canada 15,890 15,923 15,895 14,854 14,926 14,926 1,106 1,060 1,027 70 64 59 Canada United States 31,550 32,311 33,431 33,358 33,742 34,516 221 156 156 2,028 1,587 1,241 Etats-Unis Total North America 47,441 48,234 49,326 48,212 48,668 49,442 1,327 1,216 1,183 2,098 1,650 1,300 Total Amérique du Nord

a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce

Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays

TABLE 11 HARDWOOD SAWLOGS (total) GRUMES DE SCIAGES DES NON-CONIFERES

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions 1000 m3

Apparent Consumption a

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 406 311 300 329 266 300 134 90 50 57 45 50 Autriche Czech Republic 544 457 447 616 524 517 144 120 125 216 186 195 République tchèque Estonia 1,187 1,244 1,244 1,158 1,200 1,200 46 60 60 16 16 16 Estonie Finland 1,068 1,041 1,061 1,037 1,049 1,061 32 1 9 1 9 9 Finlande France 3,412 3,978 4,078 4,707 4,700 4,800 72 75 75 1,367 797 797 France Germany 2,527 2,285 2,125 2,995 2,700 2,500 101 100 100 569 515 475 Allemagne Hungary 1,234 1,173 1,191 1,234 1,173 1,191 0 0 0 0 0 0 Hongrie Italy 2,068 1,729 1,729 721 721 721 1,389 1,047 1,047 42 39 39 Italie Latvia 1,221 1,190 1,410 1,730 1,750 1,750 87 40 60 596 600 400 Lettonie Luxembourg 226 148 144 23 22 18 221 160 160 18 34 34 Luxembourg Montenegro 143 140 138 143 140 138 0 0 0 0 0 0 Monténégro Netherlands 46 55 55 48 50 50 42 50 50 44 45 45 Pays-Bas Poland 2,685 2,727 2,827 2,757 2,800 2,900 78 77 77 150 150 150 Pologne Portugal 981 870 912 356 330 360 642 560 571 17 20 19 Portugal Serbia 893 921 945 899 920 940 14 19 27 20 18 22 Serbie Slovakia 1,670 1,700 1,750 1,570 1,650 1,700 500 450 450 400 400 400 Slovaquie Slovenia 280 290 280 497 630 600 30 30 30 247 370 350 Slovénie Spain 827 847 847 730 775 775 158 167 167 61 94 94 Espagne Sweden 217 217 217 180 180 180 37 37 37 0 0 0 Suède Switzerland 145 155 160 265 275 280 35 40 40 155 160 160 Suisse United Kingdom 76 75 75 56 56 56 24 24 24 5 5 5 Royaume-Uni Total Europe 21,857 21,553 21,935 22,052 21,910 22,036 3,786 3,146 3,158 3,980 3,503 3,260 Total Europe Canada 15,890 15,923 15,895 14,854 14,926 14,926 1,106 1,060 1,027 70 64 59 Canada United States 31,549 32,308 33,429 33,358 33,742 34,516 219 152 154 2,027 1,586 1,240 Etats-Unis Total North America 47,440 48,231 49,324 48,212 48,668 49,442 1,325 1,212 1,181 2,097 1,649 1,299 Total Amérique du Nord

a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce

Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays

TABLE 11a HARDWOOD LOGS (temperate) GRUMES DE NON-CONIFERES (zone tempérée)

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions 1000 m3

Apparent Consumption a

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 France -41 -42 -42 44 45 45 3 3 3 France Germany -5 -5 -5 10 10 10 5 5 5 Allemagne Italy -20 11 11 25 9 9 4 20 20 Italie Netherlands -8 -5 -5 12 10 10 4 5 5 Pays-Bas Poland -2 -3 -3 2 3 3 0 0 0 Pologne Portugal -16 -15 -13 21 20 19 5 5 6 Portugal Serbia -1 -1 -1 1 1 1 0 0 0 Serbie Slovenia -1 0 0 1 0 1 0 0 0 Slovénie Spain -6 -7 -7 6 7 7 0 0 0 Espagne United Kingdom -2 -2 -2 2 2 2 0 0 0 Royaume-Uni Total Europe -102 -69 -67 124 107 106 22 38 39 Total Europe United States -1 -3 -1 2 4 2 1 1 1 Etats-Unis Total North America -1 -3 -1 2 4 2 1 1 1 Total Amérique du Nord

Country Commerce Net Production Imports - Importations Exports - Exportations Pays

TABLE 11b HARDWOOD LOGS (tropical) GRUMES DE NON-CONIFERES (tropicale)

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions 1000 m3

Net Trade

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 13,844 12,627 12,592 11,047 9,212 9,287 3,676 4,070 4,020 879 655 715 Autriche Cyprus 8 9 10 7 8 9 1 1 1 0 0 0 Chypre Czech Republic 5,559 5,135 5,154 7,664 6,164 6,130 1,270 1,146 1,162 3,375 2,175 2,138 République tchèque Estonia 3,117 2,380 2,435 6,548 6,550 6,550 256 330 285 3,687 4,500 4,400 Estonie Finland 48,404 47,241 49,358 44,923 44,026 45,568 5,037 4,969 5,545 1,556 1,755 1,755 Finlande France 24,495 24,350 24,050 24,257 24,000 23,700 2,527 2,600 2,600 2,289 2,250 2,250 France Germany 26,555 26,580 23,090 27,936 27,100 23,500 4,474 3,870 3,770 5,855 4,390 4,180 Allemagne Hungary 2,122 2,017 2,065 2,049 1,984 2,023 112 73 82 39 39 39 Hongrie Italy 4,508 5,210 5,210 3,916 4,618 4,618 1,288 1,288 1,288 696 696 696 Italie Latvia 5,540 5,150 5,150 9,484 8,800 8,800 1,084 950 950 5,028 4,600 4,600 Lettonie Luxembourg 583 589 589 577 559 559 182 130 130 176 100 100 Luxembourg Malta 2 3 3 0 0 0 2 3 3 0 0 0 Malte Montenegro 245 241 227 245 241 227 0 0 0 0 0 0 Monténégro Netherlands 604 1,100 1,095 1,267 1,240 1,230 289 100 105 952 240 240 Pays-Bas Poland 35,250 36,265 37,135 33,531 34,600 35,450 3,652 3,660 3,710 1,933 1,995 2,025 Pologne Portugal 15,954 15,330 15,365 11,664 11,720 11,590 4,657 4,000 4,140 368 390 365 Portugal Serbia 981 1,007 1,045 967 1,000 1,033 15 8 13 1 1 1 Serbie Slovakia 3,634 3,650 3,760 3,821 3,860 3,950 1,023 1,030 1,050 1,210 1,240 1,240 Slovaquie Slovenia 926 770 790 2,058 2,280 2,230 625 490 530 1,757 2,000 1,970 Slovénie Spain 13,959 14,358 14,358 14,383 15,261 15,261 1,435 1,564 1,564 1,859 2,467 2,467 Espagne Sweden 55,632 54,193 54,727 50,015 48,196 48,730 7,036 7,750 7,750 1,419 1,753 1,753 Suède Switzerland 1,823 1,824 1,829 1,216 1,217 1,222 795 795 795 188 188 188 Suisse United Kingdom 4,590 4,471 4,471 4,293 4,175 4,175 406 405 405 109 109 109 Royaume-Uni Total Europe 268,336 264,500 264,508 261,870 256,811 255,841 39,843 39,232 39,898 33,377 31,543 31,231 Total Europe Canada 37,044 35,822 35,734 35,326 32,985 32,975 2,578 3,462 3,467 860 625 708 Canada United States 238,450 239,587 240,850 244,912 246,110 247,536 348 324 308 6,809 6,848 6,994 Etats-Unis Total North America 275,495 275,409 276,585 280,238 279,096 280,511 2,926 3,786 3,776 7,670 7,473 7,702 Total Amérique du Nord

Includes wood residues, chips and particles for all purposes Comprend les dechets de bois, plaquettes et particules pour toute utilisation a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce

Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays

TABLE 12 PULPWOOD (total) BOIS DE TRITURATION (total)

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions 1000 m3

Apparent Consumption a

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 3,681 3,895 3,850 2,576 2,235 2,300 1,312 1,750 1,700 206 90 150 Autriche Czech Republic 3,927 3,744 3,675 5,316 4,253 4,125 811 811 830 2,200 1,320 1,280 République tchèque Estonia 476 245 245 878 900 900 56 45 45 458 700 700 Estonie Finland 22,913 24,189 25,835 22,746 23,764 25,239 1,163 1,410 1,581 996 985 985 Finlande France 4,689 4,400 4,100 4,559 4,300 4,000 608 550 550 478 450 450 France Germany 10,311 11,900 9,500 10,541 11,500 9,000 2,200 2,100 2,000 2,430 1,700 1,500 Allemagne Hungary 411 488 481 411 488 481 0 0 0 0 0 0 Hongrie Italy 148 853 853 148 853 853 0 0 0 0 0 0 Italie Latvia 1,775 1,700 1,700 1,850 1,800 1,800 374 400 400 449 500 500 Lettonie Luxembourg -16 -18 -16 10 6 8 9 3 3 35 27 27 Luxembourg Montenegro 201 198 186 201 198 186 0 0 0 0 0 0 Monténégro Netherlands 146 150 145 244 240 235 70 80 85 168 170 175 Pays-Bas Poland 15,378 15,900 16,300 15,411 15,950 16,250 1,428 1,500 1,650 1,462 1,550 1,600 Pologne Portugal 1,323 1,430 1,375 1,213 1,350 1,300 122 100 90 12 20 15 Portugal Serbia 66 70 74 66 70 73 0 0 1 0 0 0 Serbie Slovakia 598 600 610 748 710 700 600 630 650 750 740 740 Slovaquie Slovenia 264 200 220 275 430 380 268 170 200 278 400 360 Slovénie Spain 3,369 3,467 3,467 3,754 3,984 3,984 179 138 138 564 655 655 Espagne Sweden 28,513 27,431 27,944 26,353 25,310 25,823 3,114 3,269 3,269 954 1,148 1,148 Suède Switzerland 209 210 210 279 280 280 20 20 20 90 90 90 Suisse United Kingdom 1,894 1,776 1,776 1,633 1,516 1,516 291 291 291 31 31 31 Royaume-Uni Total Europe 100,275 102,827 102,530 99,212 100,136 99,433 12,625 13,267 13,503 11,562 10,576 10,406 Total Europe Canada 4,531 4,347 4,410 4,229 4,021 4,021 324 336 401 22 10 12 Canada United States 141,231 142,785 144,831 141,226 142,779 144,827 5 6 4 0 0 0 Etats-Unis Total North America 145,762 147,132 149,241 145,455 146,800 148,848 329 341 405 22 10 12 Total Amérique du Nord

a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce

Pays Apparent Consumption a

Country Consommation Apparente a Production Imports - Importations Exports - Exportations

TABLE 12a PULPWOOD LOGS (ROUND AND SPLIT) BOIS DE TRITURATION (RONDINS ET QUARTIERS)

Softwood Conifères 1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 1,217 997 1,007 647 577 587 668 500 500 98 80 80 Autriche Czech Republic 450 380 384 649 552 550 3 2 2 202 174 168 République tchèque Estonia 363 200 250 1,270 1,250 1,250 154 250 200 1,060 1,300 1,200 Estonie Finland 8,997 7,940 8,052 7,801 6,884 6,784 1,550 1,633 1,845 354 577 577 Finlande France 2,386 2,250 2,250 3,332 3,200 3,200 43 50 50 989 1,000 1,000 France Germany 1,116 1,180 1,090 1,103 1,100 1,000 259 270 270 246 190 180 Allemagne Hungary 502 507 526 502 507 526 0 0 0 0 0 0 Hongrie Italy 168 166 166 168 166 166 0 0 0 0 0 0 Italie Latvia 172 200 200 2,018 2,000 2,000 244 100 100 2,090 1,900 1,900 Lettonie Luxembourg 77 71 69 46 32 30 36 48 48 5 9 9 Luxembourg Netherlands 62 50 55 108 100 100 21 20 20 67 70 65 Pays-Bas Poland 4,424 4,635 4,785 3,939 4,150 4,300 560 560 560 75 75 75 Pologne Portugal 10,495 10,300 10,260 8,586 8,500 8,400 2,100 2,000 2,050 191 200 190 Portugal Serbia 199 205 210 199 205 210 0 0 0 0 0 0 Serbie Slovakia 1,874 1,950 2,000 1,924 2,000 2,050 100 100 100 150 150 150 Slovaquie Slovenia 137 120 130 424 490 450 84 80 90 371 450 410 Slovénie Spain 5,422 5,288 5,288 6,059 6,429 6,429 269 291 291 906 1,432 1,432 Espagne Sweden 8,517 8,412 8,533 6,232 5,986 6,107 2,313 2,481 2,481 28 55 55 Suède Switzerland 128 128 133 165 165 170 3 3 3 40 40 40 Suisse United Kingdom 23 22 22 13 13 13 18 18 18 9 9 9 Royaume-Uni Total Europe 46,729 45,001 45,410 45,185 44,305 44,322 8,426 8,406 8,628 6,881 7,711 7,540 Total Europe Canada 10,554 10,654 10,644 10,812 10,843 10,843 38 36 30 296 225 228 Canada United States 41,407 40,200 38,795 41,424 40,217 38,810 58 32 18 75 50 33 Etats-Unis Total North America 51,961 50,854 49,439 52,236 51,060 49,653 96 68 48 371 275 261 Total Amérique du Nord

a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce

Pays Apparent Consumption a

Country Consommation Apparente a Production Imports - Importations Exports - Exportations

TABLE 12b PULPWOOD LOGS (ROUND AND SPLIT) BOIS DE TRITURATION (RONDINS ET QUARTIERS)

Hardwood Non-conifères 1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 8,945 7,735 7,735 7,824 6,400 6,400 1,696 1,820 1,820 575 485 485 Autriche Cyprus 8 9 10 7 8 9 1 1 1 0 0 0 Chypre Czech Republic 1,182 1,011 1,094 1,699 1,359 1,454 456 333 330 973 681 690 République tchèque Estonia 2,278 1,935 1,940 4,400 4,400 4,400 47 35 40 2,169 2,500 2,500 Estonie Finland 16,494 15,112 15,471 14,376 13,378 13,545 2,324 1,926 2,119 206 193 193 Finlande France 17,420 17,700 17,700 16,366 16,500 16,500 1,876 2,000 2,000 822 800 800 France Germany 15,128 13,500 12,500 16,292 14,500 13,500 2,015 1,500 1,500 3,179 2,500 2,500 Allemagne Hungary 1,209 1,022 1,057 1,137 989 1,015 112 73 82 39 39 39 Hongrie Italy 4,192 4,192 4,192 3,600 3,600 3,600 1,288 1,288 1,288 696 696 696 Italie Latvia 3,593 3,250 3,250 5,616 5,000 5,000 466 450 450 2,489 2,200 2,200 Lettonie Luxembourg 522 536 536 521 521 521 137 79 79 136 64 64 Luxembourg Malta 2 3 3 0 0 0 2 3 3 0 0 0 Malte Montenegro 44 43 41 44 43 41 0 0 0 0 0 0 Monténégro Netherlands 396 900 895 915 900 895 198 0 0 717 0 0 Pays-Bas Poland 15,448 15,730 16,050 14,181 14,500 14,900 1,664 1,600 1,500 396 370 350 Pologne Portugal 4,136 3,600 3,730 1,865 1,870 1,890 2,435 1,900 2,000 165 170 160 Portugal Serbia 716 732 761 702 725 750 15 8 12 1 1 1 Serbie Slovakia 1,162 1,100 1,150 1,149 1,150 1,200 323 300 300 310 350 350 Slovaquie Slovenia 525 450 440 1,360 1,360 1,400 273 240 240 1,107 1,150 1,200 Slovénie Spain 5,169 5,603 5,603 4,570 4,849 4,849 987 1,135 1,135 388 380 380 Espagne Sweden 18,602 18,350 18,250 17,430 16,900 16,800 1,609 2,000 2,000 437 550 550 Suède Switzerland 1,486 1,486 1,486 772 772 772 772 772 772 58 58 58 Suisse United Kingdom 2,673 2,673 2,673 2,646 2,646 2,646 96 96 96 69 69 69 Royaume-Uni Total Europe 121,332 116,673 116,568 117,472 112,370 112,087 18,793 17,559 17,767 14,933 13,256 13,285 Total Europe Canada 21,959 20,821 20,680 20,285 18,121 18,111 2,216 3,090 3,037 542 390 467 Canada United States 55,812 56,602 57,224 62,262 63,114 63,899 285 286 286 6,734 6,798 6,961 Etats-Unis Total North America 77,771 77,423 77,904 82,547 81,235 82,010 2,500 3,376 3,323 7,277 7,188 7,428 Total Amérique du Nord

Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays

TABLE 12c WOOD RESIDUES, CHIPS AND PARTICLES DECHETS DE BOIS, PLAQUETTES ET PARTICULES Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

1000 m3

Apparent Consumption

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 1,290 1,497 1,450 1,691 1,938 2,050 344 309 300 745 750 900 Autriche Cyprus 8 5 5 0 0 0 8 5 5 0 0 0 Chypre Czech Republic 234 215 225 540 459 482 38 38 40 344 282 296 République tchèque Estonia 284 300 230 1,650 1,350 1,300 12 50 30 1,378 1,100 1,100 Estonie Finland 530 541 562 360 380 405 188 163 160 18 2 3 Finlande France 2,735 3,260 3,660 2,050 2,250 2,450 775 1,100 1,300 90 90 90 France Germany 3,328 3,540 3,720 3,569 3,700 3,900 443 480 420 684 640 600 Allemagne Hungary 63 44 50 62 43 49 11 13 12 11 12 12 Hongrie Italy 2,359 2,359 2,359 450 450 450 1,916 1,916 1,916 7 7 7 Italie Latvia 621 750 750 1,980 2,000 2,000 326 350 350 1,685 1,600 1,600 Lettonie Luxembourg 61 72 72 63 63 63 17 11 11 19 2 2 Luxembourg Malta 1 1 1 0 0 0 1 1 1 0 0 0 Malte Montenegro 18 25 26 83 84 84 0 0 0 65 59 58 Monténégro Netherlands 5,354 5,354 5,354 268 268 268 5,551 5,551 5,551 465 465 465 Pays-Bas Poland 842 920 1,100 1,152 1,200 1,350 366 370 380 677 650 630 Pologne Portugal 228 225 220 747 740 735 4 5 5 523 520 520 Portugal Serbia 478 460 485 418 450 480 83 70 80 23 60 75 Serbie Slovakia 22 175 175 390 450 450 47 75 75 415 350 350 Slovaquie Slovenia 125 155 150 164 175 180 126 120 130 165 140 160 Slovénie Spain 867 907 907 1,007 1,007 1,007 65 46 46 206 146 146 Espagne Sweden 1,776 1,800 1,850 1,809 1,750 1,800 199 210 210 232 160 160 Suède Switzerland 410 415 420 330 335 340 80 80 80 0 0 0 Suisse United Kingdom 7,819 7,830 7,830 327 330 330 7,516 7,520 7,520 23 20 20 Royaume-Uni Total Europe 29,451 30,850 31,601 19,110 19,422 20,173 18,114 18,482 18,621 7,774 7,055 7,194 Total Europe Canada 368 420 179 3,830 3,830 3,830 31 52 56 3,493 3,462 3,707 Canada United States 761 273 152 9,544 9,744 9,948 194 174 155 8,977 9,644 9,951 Etats-Unis Total North America 1,129 694 331 13,374 13,574 13,778 225 226 211 12,470 13,106 13,659 Total Amérique du Nord

Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays

TABLE 13 WOOD PELLETS GRANULES DE BOIS

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions 1000 mt

Apparent Consumption

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 actual actual actual actual réels réels réels réels

Sawn softwood 75.92 69.01 68.49 96.71 89.54 88.44 29.69 25.67 25.93 50.49 46.20 45.88 Sciages conifères

Softwood logs a 182.85 171.26 171.53 185.47 172.88 171.84 18.22 16.63 16.39 20.84 18.25 16.70 Grumes de conifères a

Sawn hardwood 7.02 6.65 6.70 6.93 6.45 6.61 4.18 3.86 3.81 4.09 3.66 3.72 Sciages non-conifères

– temperate zone b 6.45 6.14 6.18 6.87 6.40 6.55 3.28 3.07 3.02 3.70 3.33 3.39 – zone tempérée b

– tropical zone b 0.57 0.51 0.52 0.06 0.05 0.06 0.90 0.79 0.79 0.39 0.32 0.32 – zone tropicale b

Hardwood logs a 21.96 21.62 22.00 22.05 21.91 22.04 3.91 3.25 3.26 4.00 3.54 3.30 Grumes de non-conifères a

– temperate zone b 21.86 21.55 21.93 22.05 21.91 22.04 3.79 3.15 3.16 3.98 3.50 3.26 – zone tempérée b

– tropical zone b 0.10 0.07 0.07 0.12 0.11 0.11 0.02 0.04 0.04 – zone tropicale b

Veneer sheets 1.58 1.49 1.49 1.00 0.97 0.96 1.42 1.28 1.29 0.84 0.76 0.76 Feuilles de placage

Plywood 6.62 6.21 5.92 4.17 3.93 3.97 6.42 5.79 5.48 3.96 3.50 3.53 Contreplaqués

Particle board (excluding OSB) 28.12 26.41 26.52 28.01 26.71 26.91 10.02 9.58 9.55 9.92 9.88 9.94 Pann. de particules (sauf OSB)

OSB 5.27 5.06 5.09 4.89 4.89 5.02 3.20 2.96 2.94 2.83 2.78 2.87 OSB

Fibreboard 15.80 14.89 15.09 16.15 15.31 15.42 8.76 8.01 8.04 9.11 8.43 8.37 Panneaux de fibres

– Hardboard 0.79 0.82 0.90 0.48 0.47 0.47 1.47 1.44 1.46 1.17 1.09 1.04 – Durs

– MDF 11.42 10.85 10.97 12.16 11.62 11.68 5.21 4.61 4.62 5.95 5.38 5.33 – MDF

– Other board 3.59 3.22 3.22 3.51 3.22 3.27 2.07 1.97 1.96 1.99 1.96 2.01 – Autres panneaux Pulpwood a 268.34 264.50 264.51 261.87 256.81 255.84 39.84 39.23 39.90 33.38 31.54 31.23 Bois de trituration a

– Pulp logs 147.00 147.83 147.94 144.40 144.44 143.75 21.05 21.67 22.13 18.44 18.29 17.95 – Bois ronds de trituration

– softwood 100.28 102.83 102.53 99.21 100.14 99.43 12.63 13.27 13.50 11.56 10.58 10.41 – conifères

– hardwood 46.73 45.00 45.41 45.18 44.31 44.32 8.43 8.41 8.63 6.88 7.71 7.54 – non-conifères

– Residues, chips and particles 121.33 116.67 116.57 117.47 112.37 112.09 18.79 17.56 17.77 14.93 13.26 13.29 – Déchets, plaquettes et part. Wood pulp 37.60 34.07 35.28 34.64 32.24 33.81 17.33 16.19 16.59 14.37 14.37 15.12 Pâte de bois

Paper and paperboard 72.76 66.14 69.44 83.10 73.88 79.49 43.20 39.62 41.48 53.55 47.36 51.53 Papiers et cartons

Wood Pellets 29.45 30.85 31.60 19.11 19.42 20.17 18.11 18.48 18.62 7.77 7.05 7.19 Granulés de bois a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fourni des données sur le commerce b Trade figures by zone do not equal the total as some countries cannot provide data for both zones b Les chiffres du commerce par zone ne correspondent pas aux totaux

en raison du fait que certains pays ne peuvent les différencier.

TABLE 14

Europe: Summary table of market forecasts for 2023 and 2024

Europe: Tableau récapitulatif des prévisions du marché pour 2023 et 2024 Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

million m3 (pulp, paper and pellets million m.t. - pâte de bois, papiers et cartons, et granulés en millions de tonnes métriques) Apparent Consumption

Consommation Apparente Production Imports - Importations Exports - Exportations

forecasts forecasts forecasts forecasts prévisions prévisions prévisions prévisions

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 actual actual actual actual réels réels réels réels

Sawn softwood 91.63 89.85 90.39 100.44 97.41 95.73 27.09 26.48 27.10 35.90 34.04 32.43 Sciages conifères

Softwood logs 253.91 254.00 257.31 262.84 262.90 265.12 1.93 1.97 1.86 10.86 10.87 9.68 Grumes de conifères

Sawn hardwood 15.85 16.16 16.46 18.50 18.72 19.03 1.59 1.63 1.56 4.23 4.19 4.13 Sciages non-conifères

– temperate zone 15.57 15.89 16.19 18.50 18.72 19.03 1.29 1.33 1.26 4.21 4.16 4.10 – zone tempérée

– tropical zone 0.29 0.27 0.27 0.00 0.00 0.00 0.31 0.30 0.30 0.02 0.03 0.03 – zone tropicale

Hardwood logs 47.44 48.23 49.33 48.21 48.67 49.44 1.33 1.22 1.18 2.10 1.65 1.30 Grumes de non-conifères

– temperate zone 47.44 48.23 49.32 48.21 48.67 49.44 1.32 1.21 1.18 2.10 1.65 1.30 – zone tempérée

– tropical zone 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 – zone tropicale Veneer sheets 2.85 2.93 2.97 2.87 2.89 2.91 0.86 0.88 0.89 0.88 0.83 0.84 Feuilles de placage

Plywood 16.92 16.92 17.31 10.86 10.90 11.05 7.48 7.37 7.68 1.43 1.36 1.42 Contreplaqués

Particle board (excluding OSB) 6.66 7.45 7.46 6.11 6.58 6.55 1.75 1.97 1.98 1.19 1.10 1.07 Pann. de particules (sauf OSB)

OSB 21.20 21.09 21.35 20.86 20.60 20.86 6.28 6.30 6.39 5.94 5.82 5.89 OSB

Fibreboard 9.92 9.93 10.07 7.64 7.71 7.87 4.18 3.92 3.92 1.90 1.69 1.72 Panneaux de fibres

– Hardboard 0.51 0.56 0.56 0.53 0.59 0.60 0.31 0.28 0.29 0.32 0.32 0.33 – Durs

– MDF 6.21 6.23 6.23 3.83 3.88 3.89 3.55 3.35 3.32 1.17 0.99 0.98 – MDF

– Other board 3.20 3.15 3.28 3.28 3.24 3.38 0.32 0.29 0.31 0.40 0.38 0.41 – Autres panneaux Pulpwood 275.49 275.41 276.58 280.24 279.10 280.51 2.93 3.79 3.78 7.67 7.47 7.70 Bois de trituration

– Pulp logs 197.72 197.99 198.68 197.69 197.86 198.50 0.43 0.41 0.45 0.39 0.28 0.27 – Bois ronds de trituration

– softwood 145.76 147.13 149.24 145.45 146.80 148.85 0.33 0.34 0.41 0.02 0.01 0.01 – conifères

– hardwood 51.96 50.85 49.44 52.24 51.06 49.65 0.10 0.07 0.05 0.37 0.27 0.26 – non-conifères

– Residues, chips and particles 77.77 77.42 77.90 82.55 81.23 82.01 2.50 3.38 3.32 7.28 7.19 7.43 – Déchets, plaquettes et part. Wood pulp 45.79 48.12 48.43 55.02 54.33 54.12 7.42 8.22 8.89 16.65 14.44 14.58 Pâte de bois

Paper and paperboard 69.75 68.96 69.26 75.05 73.60 73.63 10.72 10.42 10.39 16.02 15.06 14.77 Papiers et cartons

Wood pellets 1.13 0.69 0.33 13.37 13.57 13.78 0.23 0.23 0.21 12.47 13.11 13.66 Granulés de bois

TABLE 15

North America: Summary table of market forecasts for 2023 and 2024

Amérique du Nord: Tableau récapitulatif des prévisions du marché pour 2023 et 2024 Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

million m3 (pulp, paper and pellets million m.t. - pâte de bois, papiers et cartons, et granulés en millions de tonnes métriques) Apparent Consumption

Consommation Apparente Production Imports - Importations Exports - Exportations

forecasts forecasts forecasts forecasts prévisions prévisions prévisions prévisions

  • List of tables
  • Table1
  • Table2
  • Table 2a
  • Table 2b
  • Table 3
  • Table 4
  • Table 5
  • Table 5a
  • Table 6
  • Table 6a
  • Table 6b
  • Table 6c
  • Table 7
  • Table 8
  • Table 9
  • Table 9a
  • Table 9b
  • Table 10
  • Table 11
  • Table 11a
  • Table 11b
  • Table12
  • Table 12a
  • Table 12b
  • Table 12c
  • Table 13
  • Table 14
  • Table 15

Feasibility of the WEB data collection for the Slovenian Labour Force Survey - Eva Belak, Hana Vratanar, Tina Osvald Zaletelj, Katja Rutar, Marko Sluga (Statistical Office of the Republic of Slovenia)

Languages and translations
English

Feasibility of the WEB data collection for the Slovenian Labour Force Survey

Eva Belak, Tina Osvald Zaletelj, Hana Vratanar, Katja Rutar, Marko Sluga

Statistical Office of the Republic of Slovenia (SURS)

UNECE Expert Meeting on Statistical Data Collection

Online, 12 – 14 June 2023

Introduction

• Regular LFS

– Household survey – data of all eligible hh. members are collected

– Normally 1st Wave CAPI, consecutive 3 waves CAPI, CATI

• WEB Pilot survey

– WEB pilot sample (n=1042)

 households (selected persons) who responded to the regular LFS in the 4th

wave in 2022

 First wave with these respondents was conducted by CATI due to COVID in

2020

– Conducted in June 2022

Goals of the pilot

• Questionnaire design

• Communication strategy

• To analyse some paradata from the pilot

• Willingness to share contact information of the

respondent and other household members

• To set a strategy for web data collection for the main

survey

Questionnaire design

• Main work was to develop feasible WEB questionnaire for household

– Questions are designed for self reporting and

proxy

– Preparing questions for the repeated data

collection (dependent interviewing)

Composition of the household

ID3. Are all persons listed below still members of the household?

If ‚no‘…

Is [person] still a member of this

household

Corrections of the mistakes

Corrections of pre-filled data

ID4. Should the name, surname, date of birth or gender be corrected for any of the listed persons?

Adding new household members

ID6. In addition to the members listed below, is there any other person in this household?

Indicate to whom the question refers *Proxy respondent: questions

and answers are presented in

the third person singular

Additional information

for respondents

*

Direct interview: questions and

answers are presented in the first

person singular

Appropriate format of the questions

The option "don't know" was shown

for most of the questions

Don‘t know option

Additional

information

and

definitions

Additional information and definitions

Open questions – NACE, ISCO, ISCED,

Included examples in order to obtain description,

detailed enough for subsequent coding

Classifications not yet

implemented in the WEB

quest.

Inclusion of reference weeks

For key questions, we left the dates, with an

exact reference week, in the question itself…

…for the others, we indicated the reference

week in the notes below the question.

Communication with the respondents

• Advance letter in

PILOT addressed to the selected person

• Two reminders, large

effect on RR of both

reminders

• Further improvement

-> addressing the

whole hh.?

WEB response by days

30% 50% 20%

Non-response and break-off

• Sample size: 1042 hh (selected persons and their

household members)

– LFS respondents from 4th wave (loyal respondents)

• Response rate

– RR: 48%, considered hh that completed the whole quest. (477/1042)

• Break-off rate: 7.6%  516-477=39

 39 respondents left the

questionnaire before last

question.

CATI vs. WEB Time to complete the questionnaire

On which device the quest. was completed

75% 70%

66% 58%

68%

24% 28%

32% 39%

30%

1% 2% 2% 4% 2%

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

1 member 2 members 3 members 4 members + Total

Desktop, laptop Smartphone Tablet

53,8 53,8 47,0 40,4 48,3 Avg. age of hh. members 15+

Proxy response and data quality

• The % of don‘t know answers for some questions in case of proxy response is quite large

Key questions

DON’T KNOW Self-report

DON’T KNOW Proxy

n % n %

Hours usually worked in the main job

15 12.7 46 30.5

Hours actually worked in the main job

31 8.4 73 22.7

Number of hours that person would wish to work

42 11.0 129 40.0

Field of education / 0.0 1 2.9

Proxy response and contact data

• Number of proxy responses for selected persons is 14%, while for all persons is 50%

• For proxy respondents we obtain only about 5% of e-mails and mobile phone numbers.

n e-mail % Mobile phone

%

Self-report 610 468 77% 447 73%

Proxy 600 27 5% 28 5%

No. of

selected

persons (HH)

Proxy for

selected

persons

No. of all

persons

15+

Proxy

response

497 67 (14%) 1210 538 (50%)

Preferred mode of interviewing

The last question in

our WEB Pilot

questionnaire was

how respondents

would prefer to fill

such questionnaire.

Conclusions and discussion

• WEB is feasible, but

 Non-response rate is high for loyal respondents: 50%

 Questionnaire is very long, especially for larger hh.

 Further adjustments and simplification of the of the quest. recommended  some respondents commented that questions seem to much alike and are

not adjusted for groups of respondents (students, self-employed…),

 Coding lists not yet integrated in the WEB quest.

 Problem is to obtain contact information (e-mail and telephone) for other hh. members

 Should each hh. member receive own questionnaire?

 Step-by-step introduction of WEB into the regular production

Thank you.

Further information

[email protected]

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UNECE Expert Meeting on Statistical Data Collection 12 – 14 June 2023

Paradata and Data Collection Techniques

Feasibility of the WEB data collection for the Slovenian Labour Force Survey Prepared by: Hana Vratanar, Tina Osvald Zaletelj, Eva Belak, Katja Rutar, Marko Sluga Hana Vratanar, Statistical Office of the Republic of Slovenia, [email protected] Tina Osvald Zaletelj, Statistical Office of the Republic of Slovenia, [email protected] Eva Belak, Statistical Office of the Republic of Slovenia, [email protected] Katja Rutar, Statistical Office of the Republic of Slovenia, [email protected] Marko Sluga, Statistical Office of the Republic of Slovenia, [email protected] The main goal of the LFS WEB pilot survey was to prepare an appropriate questionnaire for the WEB and to test the WEB data collection method for the LFS. The pilot focused on the preparation and testing of the best possible solution for WEB data collection at the household level. Our contribution analyses WEB pilot LFS data and paradata collected for the 5th Wave 2022. Our aim was to answer the following questions: - On which devices respondents started to fill out the questionnaire and on which devices it

was completed?

- How many respondents entered the questionnaire and left it before the end (drop-off rate)?

Does the household size/type have any impact on the drop-off rate?

- Are the descriptions given by the respondents regarding occupation, economic activity and

education detailed enough for subsequent ISCO, NACE and ISCED coding at the required

level?

- Is it feasible to incorporate code lists for occupation, economic activities and education (if

any) into the web questionnaire?

- What is the share of the proxy answers for the key questions and what is the share of “don’t

know” answers by proxy respondents?

All the analysis will be checked by socio-demographic characteristics of the selected person and by some characteristics of the household to which the selected person belongs. At the end of our presentation, we will present our plans and possible scenarios of the WEB data collection in the regular LFS production.

Disclaimer The paper represents the personal views of the authors and need not necessarily coincide with those of the Statistical Office of Slovenia.

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I. Background

1. At SURS, we have implemented several surveys for individuals for the WEB survey mode.

Labour Force Survey is household panel survey and we do not have experience with

household panel WEB surveys at SURS.

2. LFS is the largest continuous household survey in Slovenia. In the first wave, respondents

are interviewed using CAPI mode (face-to-face), while in the subsequent three waves they

are contacted via telephone (CATI).

3. Participation in the Slovenian LFS is voluntary. Therefore, different approaches need to be

implemented to tackle the decreasing response rates. WEB questionnaire, in this case, offers

additional opportunity to address respondents who prefer online questionnaires and who

otherwise would not have responded to the survey.

4. Main goals of the pilot survey were to prepare an appropriate LFS questionnaire for the WEB

and to test the WEB data collection method for the LFS. The focus was primarily on the

preparation and testing of the best possible solution for WEB data collection at the household

level for the subsequent waves of the LFS data collection.

II. Questionnaire design for WEB LFS

5. In the case of LFS WEB survey questionnaire, we are supposed to collect data from all

household members. In the introduction module of the questionnaire we had to introduce

respondent-friendly questions to check the composition of the household, collected in the

previous wave, and add new household members (newly born household members and

persons that moved in the household) and remove household members that have deceased

or moved out of the household.

6. Preparing questions for the repeated data collection. We used dependent interviewing for:

− data on household members and their relationships,

− person number, name, surname, gender, date of birth, month of birth, year of birth,

− economic activity for main work (name of the business/firm, kind of products or services supplied by the firm/bussiness),

− occupation for main job (job title and job description),

− economic activity for last work (name of the business, types of services that are produced),

− occupation for last job (job title and job description),

− highest education level attained, year in which they attained the highest level of education, field of education (4-digit code), indicator of whether the person is working or not.

7. Thus, the respondent checked some of the data in the questionnaire and in the case when

the answers have changed from the previous wave, subsequent questions were asked.

8. Implementation of the ‘no proxy’ and ‘proxy’ questions. The format of the questions in the

questionnaire is adapted depending on whether the person is answering for herself/himself

(direct interview; questions and answers are presented in the first person singular) or

whether another person is answering for a person in the household (proxy interview). In

case of a proxy respondent, questions and answers are presented in the third person

singular. Due to these adjustments, a lot of extra work was done.

9. Preparation of the introductory module for the household and questions on persons in the

household. In the introductory module (ID Module), we had to check whether selected

person, who defines the household, still lives on the address where we have sent the

advance letter. If so, we then list household members form the previous wave, add new

members, and delete members that are no longer in the household. There were no

problems detected with the introductory module of the questionnaire.

10. Implementation of the coding lists. The Standard Classification of Occupations (ISCO-08),

Standard Classification of Activities (NACE) and Standard Classification of Education,

Fields of Education and Training (ISCED) were not implemented in the WEB questionnaire.

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The code lists are too exhaustive to be included in the questionnaire. There are technical

reasons as well as the usability of the code list in the questionnaire. Before implementing

such a list in the questionnaire, separate experiment regarding the usability of such lists

should be carried out.

11. In the questions, where the information regarding occupation, activity of the business and

education is required, we have included examples in order to obtain description, detailed

enough for subsequent coding.

III. Communication strategy and effectiveness of reminders

12. Analysis of the effectiveness of the advance letter and both reminders. The graph (Figure 1)

represents the time when respondents answered the WEB survey. As we can see, the

number of completed questionnaires was the highest around the time of sending the letters

(advance letter, first and second reminder). Similarly as in other WEB surveys at SURS, the

first reminder has the highest impact, which we sent 7 days after the advance letter. The first

reminder sent on June 14, 2022, when 99 questionnaires were completed. According to the

results, the strategy of sending the advance letter and both reminders is important.

Figure 1 Contact strategy – effects of advance letter and both reminders

IV. Response analysis

13. Characteristic of the respondents. We got responses from 48% of households in the sample.

They reported 1394 household members, half men, half women, with average household size

of 2.8 members. Their activity statuses were not calculated yet. When we look at households

with unemployed members (46) in 5th wave, 52% of them responded in pilot WEB data

collection while 48% of households with no unemployed persons responded in the pilot.

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Table 1 How many persons completed the questionnaire? Sample composition of the initial sample in the 1st Wave, 5th Wave, which was WEB pilot sample and WEB Pilot response

Age group of the

selected person

Gender 1st Wave % 5th Wave

WEB Pilot sample

% WEB Pilot Response

%

18-24 M 347 4.7% 23 2.2% 14 2.8%

F 333 4.5% 32 3.1% 14 2.8%

25-34 M 692 9.4% 55 5.3% 22 4.4%

F 539 7.4% 48 4.6% 19 3.8%

35-44 M 859 11.7% 96 9.2% 51 10.3%

F 717 9.8% 90 8.6% 50 10.1%

45-54 M 853 11.6% 97 9.3% 56 11.3%

F 736 10.0% 132 12.7% 76 15.4%

55-64 M 760 10.4% 127 12.2% 54 10.9%

F 786 10.7% 162 15.5% 78 15.8%

65-74 M 175 2.4% 44 4.2% 24 4.8%

F 230 3.1% 63 6.0% 20 4.0%

75 or more M 104 1.4% 30 2.9% 8 1.6%

F 195 2.7% 43 4.1% 9 1.8% Total 7326 100.0% 1042 100.0% 502 100.0%

14. Non-response analysis, information and response from the field. As stated above, we kept

record of those persons, who informed us that they do not want to participate due to various

reasons – there were 98 of them. Average age of persons who inform us that they do not

want to participate was 67 years. 29% of them were men and 71% were women.

15. Reasons for ‘not wanting to participate’ were as followed: (i) refusal; (ii) absence; (iii)

incapability; (iv) respondent does not have a computer/internet; (v) respondent does not know

how to use a computer; (vi) unknown and (vii) moving to another address.

16. The most common reason for not participating (for those who contacted us) in the WEB

survey was because the respondents did not have a computer or access to internet (72%) –

the average age of these persons was 70 years. The second most common reason was hard

refusal (13%). They commented that they did not have time to participate or that they had

already participated several times and do not want to anymore.

V. Data collection results

17. Remarks on the WEB questionnaire at the end of the questionnaire. At the end of the

questionnaire, we added two additional questions for respondents to answer. One question

was about how they would prefer to answer such questionnaire in the future and in the other

question, we asked respondents to describe their experience in filling out the WEB

questionnaire and to suggest how we could improve the experience in the future.

18. The wording of the first question was: »You have gained experience by completing a WEB

questionnaire. How would you prefer to answer such a questionnaire? « The results show

that majority would prefer to answer such questionnaire on the WEB (72%). Some

respondents would rather answer such survey over the telephone (10%) since they think it

took them considerable less time and there is an interviewer on the other side who can

additionally explain some questions if necessary. About 17% of the respondents do not care

how the data is collected.

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Table 2 Preferred mode of interviewing

n %

On the WEB 341 71.9

On the telephone 48 10.1

In-person (CAPI) 3 0.63

It doesn’t matter how 82 17.3

Total 474

19. The wording of the second question was “If you would like, please describe your experience

filling out the WEB questionnaire and suggest how we could improve the experience in the

future.” We grouped the answers into five groups as showed in the table (Table 3).

Table 3 Experiences with filling out the WEB questionnaire

n %

Respondents who were satisfied with the WEB questionnaire and have nothing to add

39 35.8

Respondents who filled out the WEB questionnaire but refused to cooperate in our survey in the future

22 20.2

Respondents who expressed their dissatisfaction with the length of the WEB questionnaire

9 8.3

Respondents who had problems filling out WEB questionnaire due to unclear questions or other dilemmas.

28 25.7

Respondents who provided technical suggestions for improving the WEB questionnaire

11 10.1

Total 109

20. Among those who answered the open question there was 36% of those who were satisfied

with the WEB questionnaire, 26 % had problems filling-out the questionnaire, 10 % had

technical suggestions for improving the WEB questionnaire. Some of the suggestions were

about adding a progress bar (showing percentage of completed survey) and having more

‘controls’ in the WEB questionnaire.

21. Many comments from the respondents were that the questionnaire is too long and too

comprehensive. Some of them thought that there were too many similar questions – for

example, regarding absence. Furthermore, some even thought that some questions are not

relevant to their activity status.

22. Contact data and information regarding the completion of the questionnaire. LFS WEB

questionnaire is the first WEB questionnaire at SURS where we collect the data about all

household members. This was challenging since we had to collect data for all household

members aged 15 years or more. Ideally, each person in the household would answer the

questionnaire for himself. However, in practice most of the questionnaires were filled out by

one person (82%), 13% by two and only smaller proportion by three or more persons.

Table 4 How many persons completed the questionnaire?

n %

Not completed 6 1.2

One person 424 82.2

Two persons 67 13

Three+ persons 19 3.7

Total 516

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23. At the end of the questionnaire, we asked for contact data for selected person and those

household members that are aged 15 years or more and have answered the questionnaire

by themselves. We asked for e-mail address and mobile and fixed telephone number.

a. We informed the respondents that contact data is collected only for the purpose of

this survey.

b. We have obtained e-mail addresses for 73% and mobile numbers for 71% of

selected persons, while for other household members aged 15 years or more, who

have filled out the questionnaire by themselves, we obtained e-mails for 24% of

them and mobile numbers for 23% of them.

Table 5 Contact data obtained at the end of the questionnaire

n e-mail % Mobile phone

%

Self-report 610 468 77% 447 73 %

Other hh. members. aged 15+ 600 27 5% 28 5%

Total 1210 495 41% 475 39%

24. Time to complete the questionnaire increases with household size. The presence of an

interviewer considerably shortens the interviewing time.

Table 6 Time to complete the questionnaire by household size

CATI *

(4th wave) WEB PILOT

(5th wave) Household size (members aged 15+)

Mean (in minutes)

Mean (in minutes)

One member 3.9 10.0

Two members 15+ 5.6 14.0

Three members 15+ 8.0 19.7

Four or more members 15+ 9.7 23.6 Total 6.4 16.0

*The same households were considered.

Table 7 On which device questionnaire was completed?

Entered the

questionnaire Completed the questionnaire

Drop-off

n % n % n %

Desktop/laptop 329 69.0

Smartphone 137 28.7

Tablet 11 2.3 Total 516 100% 477 100% 39 7.5%

25. One of the indicators of the clarity and complexity of the questionnaire is also the share of

item non-response and “don’t know” answers. Since WEB questionnaire does not provide

interviewers assistance, non-response to some questions were significantly higher in WEB

LFS pilot than in the regular LFS implementation (CATI). There was also difference in the

share of “don’t know” answers in case of self-report and in case of proxy. All questions of

the questionnaire were obligatory.

26. To questions, from which labour status was derived (employed, unemployed, inactive)

“don’t know” answer was not allowed. Therefore, key questions for the analysis were

selected from those who proved to be more complex, e.g. questions with open text fields on

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economic activities and occupations, questions on the number of hours usually or actually

worked and field of education attained.

Table 8 Percentage of DON’T KNOW answers for some key questions in case of

self-report and in case of proxy

Key questions DON’T KNOW

Self-report DON’T KNOW

Proxy

n % n %

Hours usually worked in the main job 15 12.7 46 30.5

Hours actually worked in the main job 31 8.4 73 22.7

Number of hours that person would wish to work 42 11.0 129 40.0

Field of education / 0.0 1 2.9

27. Results of the LFS WEB pilot showed interesting “anomaly” in terms of “don’t know” (item

non-response). In the case of questions on the field of education, more “don’t know”

answers were recorded in the previously implemented CATI of the regular LFS data

collection of the 4th wave than in the WEB pilot. 25.7% in case of proxy and 36.1% in case

of self-reporting in the CATI 4th wave. The interviewers interference could play crucial part in

that particular case.

VI. Conclusions and discussion

28. Future challenges and conclusions of the pilot web data collection. WEB data collection is

feasible for the survey, but we propose some adjustments for the data collection and some

further improvements of the questionnaire before implementing it in the regular collection of

LFS data.

29. Plans for the implementation of the WEB in the regular production of the survey

a. The data for LFS in Slovenia in the future will be collected in the mixed mode design. One of the challenges is to integrate WEB data collection in the regular production.

b. The current goal is to implement it step by step with conservative approach. Firstly, some smaller and on average younger households will be selected for the WEB mode (e.g. max 2 household members where selected person is between 25 and 39 years old). We will start with the implementation of WEB in the last, 4th wave, since some loyalty to the survey response have already been established from the respondents who have already responded in the previous three waves.

c. We still have to analyse the data collected with the pilot in more detail to find out what is the quality of so-called open questions (where respondent have to report their education. occupation and economic activity). In general, compared to CAPI and CATI mode, descriptions given directly by the respondents are of higher quality, accuracy and contain less typos. However, compared to both modes that rely on the interviewer’s interference, WEB turned out to produce more “don’t knows” in some cases, especially with proxy respondents. Nevertheless, collected answers seem to contain enough detail to code them with required precision.

30. Main findings:

a. We have not yet integrated the coding list into the questionnaire. We would like to test as a separate action whether implementing complex coding list in the WEB questionnaire is feasible or not. Therefore, we applied for the EU funding of the action to find appropriate way of implementation and to test its feasibility within the Slovenian LFS WEB questionnaire.

b. High unit non-response rate. We have achieved around 50% of the responses from the 5th wave. That means that these are our »loyal« respondents and results obtained from the pilot regarding the response rate do not reflect the result that we would typically obtain in the second wave of the data collection “in the field”.

c. We experienced very high »Don't know« proportion for some questions. There are several questions where “Don’t know” answers exceeds 5%; both for proxy and self-

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reports. Significant number of “Don’t know” answers were recorded among the open questions, where text box was presented to be filled in with the text or number. Such questions were for examples those on the number of hours usually or actually worked, extra hours worked or number of days of absence from work, as well as questions on the field of education. E.g. 13% of self-reported and 30% of proxy answers to the question on number of hours usually worked at the main job (compared to 3% and 10% in previous CATI mode).

d. Dependent interviewing worked well, but some questions are too detailed to be answered by proxy respondent. For this reason, it would be desirable that each person in the household would get his or her own questionnaire by e-mail. This scenario would be feasible if we would get e-mail addresses form the Central Population register. The results of the test suggest that we got only 5% of the e-mail addresses.

31. What were the biggest problems and what have we learned from the pilot

a. Quite some respondents commented that the questionnaire is too long and that the questions seemed too much alike and are not adjusted to the status of the respondents. For example, for students or even self-employed some questions should be asked differently.

b. It is very complex and long questionnaire, where many adjustments were made. Questions and answers were designed in a way that the question is formed different if the person is answering for herself/himself or other household members. This was to reflect the Slovenian grammar.

c. Implementation of the coding list for some questions still has to be done and tested.

32. LFS WEB pilot showed us that respondents are very keen of the WEB surveys. The

majority would like to participate in the WEB mode also in the future. This information let us

know that at least part of the society is prepared and ready for such WEB questionnaires.

Those who responded the pilot survey preferred WEB to CAPI mode.

33. WEB mode required a totally different approach as with other modes.

a. That is why, firstly, we must further investigate, who is the appropriate population

for such mode. For this, we need to know who our respondents are and who would

rather answer the questionnaire on the WEB. This way WEB mode could improve

the overall response rate.

b. Secondly, we need to further test the quality of the collected data and find out if

WEB mode is suitable for household survey or is it better to adjust it to person

survey (some comments obtained from the ‘field’ suggested the latter).

c. Thirdly, we must further improve the questionnaire for WEB mode, so the

questionnaire will be (i) adjusted to the status of the respondents and (ii) will contain

the coding list.

d. Furthermore, consideration should be given to how to implement the WEB mode in

the regular LFS survey. Which wave(s) to use and how to time it into the data

collection that is already very short and does not allow much of extra time to be

allotted for the WEB mode. In addition, the new data collection (WEB mode) also

requires a new interviewer and data management.

References Using paradata to manage and monitor multi-mode surveys. Gina Cheung, University of Michigan / CBS - Statistics Netherlands, Cheng Zhou, University of Michigan Marcel van der Steen - CBS - Statistics Netherlands

Statistical data collection - how to make it attractive for respondents - Ema Mišić (Statistical Office of the Republic of Slovenia)

Languages and translations
English

Statistical data collection – how

to make it attractive for

respondents

Ema Mišić

Data Collection Division

1

UNECE Expert meeting on Statistical Data Collection, „Rethinking Data

Collection“, 12-14 June 2023

Changes, development, statistics…

2

Numerous changes in society, various crises, digitalisation, globalisation, data revolution

Strong impact on data, infrastructure, influence on businesses & individuals, their behaviour

Require changes in statistical offices, in data collection, modernization of processes, new approaches and data sources

Data sources

3

Field data collection

• 68 business surveys  70,000 business entities

• 13 household & farm surveys  200,000 people

Administrative & other data sources

• Almost 200 administrative & other data sources

• Agreements signed with almost 80 institutions

• Almost 300 different type of data received yearly

Other sources

• Scanner price data

• Web scraping, models

• Data of system operators for electricity & gas, mobile operators

Data collection

4

Primary data collection

• Business surveys  mandatory, WEB 96%

• Household surveys  voluntary, WEB 60%

Secondary data collection

• Various admin. registers

• Administrative sources

• Privately held data

1/3

2/3

Modernisation of data collection

5

Business surveys

Major technical renovation of WEB portal eStat

Other innovations – pre-filled questionnaires, code books

Packet data import

Household surveys

Development of new information system OSA for management of whole collection process

Development & pilot use of mobile apps for data entry

Administrative & other sources

Development of online service for data exchange between institutions

System for Exchange of Data Collection – all information about administrative sources in one place

Promotion of data collection

6

Renovated entry point for data collection

Advisory Committee on cooperation with data

providers

Central help desk for enterprises & individuals

Different promotional activities

Profiling of data providers

7

• Project of analysis of persons, their characteristics

• Determination of typical groups of respondents

• Adaptation of the communication strategy

Profiling (segmentation) of persons

• Investigation of respondents willingness to use smart features

Study of respondents perceptions

• Project of potential use of probability web panels

• Carried out in cooperation with university

Probability web panels

Concluding remarks

8

Changes

• Various changes in a society, crises

• New data sources, digitalisation

• Changes in the behaviour of people, business entities

• Quick response & adaptation to all changes is necessary

Collection

• Data collection tailored to the respondents' information sources & preferences

• Implementation of new ways of data collection & digitalisation of processes

• Maximum use of administrative & other new data sources

Communication

• Improve the visibility & importance of statistics among data providers

• Emphasize the important role of data providers in data collection

• Adapt communication to different respondents groups

Cooperation

• Synergy & partnerships with public & private data holders

• Good knowledge & intensive cooperation with data providers

UNECE Expert meeting on Statistical Data Collection, „Rethinking Data Collection“, 12-14

June 2023

Statistical data collection - how to make it attractive for

respondents

Ema Mišić

Data Collection Division

Statistical Office of the Republic of Slovenia

The Slovenian Statistical Office (SURS) prepares official statistical data based on various data

sources. A considerable part of the data is still obtained traditionally, i.e. by collecting them

directly from various reporting units in the field.

Collecting data directly from business entities, and especially from individuals and households,

has become very difficult, demanding and a big challenge in recent year or two. Numerous

changes in society and in the economy, which are the result of digitisation, globalization, and

rapid technological development, and various crises also affected businesses and individuals

and particularly their attitude regarding the participation in statistical surveys. In particular,

individuals are less and less willing to participate in statistical surveys. The NSIs, including

SURS, are therefore encountering an increasing refusal of cooperation and, as a result,

declining response rates. On the side of businesses, the situation in the case of Slovenia is

still relatively good for the time being, but even here, especially among micro and small

businesses, dissatisfaction and refusal to cooperate are increasing.

In the past year, SURS devoted a lot of time and activities to finding ways to encourage

respondents to participate, to increase awareness of the importance of providing data to

statistics, and to strengthen cooperation with data providers. Thus, we renovated the online

portal for data collection, established a statistical council for cooperation with data providers,

renovated communication materials, etc. The paper presents the innovations and tools already

implemented as well as those that are being planned.

2

Introduction

Collecting data directly from business entities, and especially from individuals and households, has

become very difficult and a big challenge in recent year or two. In order to successfully tackle and

overcome different issues and challenges, it was necessary to react and do something. In addressing

these different challenges related to data collection, SURS, i.e. its Data Collection Division, focused on

four keywords: changes, collection, communication and cooperation (4 C's).

In the past year, a lot of time and energy were devoted to finding ways to modernise and digitise the

collection process, to encourage and motivate respondents to participate in surveys, to increase

awareness of the importance of providing data to statistics, to learn more about the outside world and

to strengthen cooperation with data providers. This paper illustrates some of these activities as well as

those that are still in front of us.

Data sources and data collection

SURS prepares official statistical data based on various data sources. A considerable part of the data

is still obtained traditionally, i.e. by collecting them directly from the various reporting units in the field.

Another very important source, even dominant in the last decade, is data from administrative sources,

the custodians of which are various state institutions. The third source is databases, established by

various business entities for their own needs or as part of their operations and may be treated as

privately held data. The fourth source is the (un)structured digital records that we all leave behind in an

increasingly digitised society or are available on the web.

In 2022, SURS, together with its partner institutions, conducted 68 business surveys, in which data were

obtained directly from around 70,000 business entities, which completed almost one million

questionnaires. The response rate for these surveys averaged nearly 90%, with a higher response rate

for monthly surveys and a lower response rate for annual and multi-year surveys. In addition, it

conducted another 13 surveys in which data were obtained directly from individuals and households,

and farmers. This meant that almost 200,000 people were selected in the samples, and answers were

obtained from almost 90,000 people.

For the rest of the surveys (more than 100), data were obtained from already existing databases or

sources. In 2022, SURS obtained data from almost 200 administrative and other data sources managed

by 76 different institutions or companies. Almost 300 different types of data were taken from these

sources. Various register data are also used. SURS has a long history of using registers and a tradition

of extended use of administrative sources. Thus, quite a few new data sources are acquired every year.

SURS also receives scanner price data from the biggest retailers, obtains data through web scraping,

prepares some statistics using models and also uses data obtained by system operators for electricity

and gas from smart devices and on roaming by mobile operators.

Participation in statistical surveys is mandatory for business entities, but voluntary for individuals,

households and farmers. Also, the National Statistics Act defines that the holders of databases must

provide access to their data for statistical purpose free of charge. In the case of privately held data this

is not always an easy task and self-evident. SURS concludes an agreement, technical protocol or

contract with every holder of administrative and other data source and also takes care that national

identification numbers (personal identification number, company registration number), standard

classifications and definitions are extensively used in administrative data sources.

Taken as a whole, SURS obtains data from administrative and other sources for more than two thirds

of the surveys, while for the remaining third it still obtains data through direct collection. The latter

prevails in household and agricultural surveys.

3

Digitisation and new ways of data collection

Nowadays, digitisation is no longer a choice, it is a necessity. In the global economy, it is clear: whoever

is not quick, responsive, flexible and innovative will fall behind. The digitisation requires changes and

the development of new ways of functioning, organisation and implementation not only on the side of

NSIs but also in the external environment, on the side of our data providers, respondents. Since the

digitisation is a process that lasts and statisticians should create it together with data providers,

implementation of changes, innovations in data collection was necessary and is carried out also in

cooperation with external world.

SURS collects data for business surveys in most cases electronically via the reporting portal called

eSTAT, while household and agricultural surveys are in most cases carried out using multimode

approaches, but telephone and field data collection prevail. In the last three years, by many of those

surveys, we have added online collection or as in the case of the survey on the careers of doctorate

holders collected data only online (CAWI). In the case of household surveys, the WEB collection is used

in 60% of surveys, while the share of e-reporting by business surveys is 96%.

Due to the very important role that primary data collection still plays in the case of business entities and

households, the two systems we use for data collection are currently subject to major renovations. It is

very important that the systems for data collection are modern, interoperable, secure, and easy to use

and manage.

The eSTAT web portal was set up more than ten years ago, so the renovation was necessary,

particularly from a technical point of view. The main purpose of its upgrading is to provide a single

internal entry point and connect several different applications that we use now into a common system

that will allow simpler administration, optimization of business logic, ensure a better user experience

through renewed processes and offer also a friendlier look and transparency of data or processes. The

renovation takes place in several phases, of which the renovation of modules related to internal users,

managing of the application and connecting different data sources to prepare the main directory have

already been done. While the renovation of the business assistance application, called help desk, and

the upgrading of the entry point for business entities are still under development.

In addition to the comprehensive technical renovation, other innovations were also introduced into the

data collection process. Whenever possible, especially in the case of accounting and financial data, the

questionnaires are pre-filled for the reporting units or facilitate their filling by providing the necessary

code books to simplify reporting. Under development is also to supplement eSTAT with the possibility

for business entities to submit data in the form of Packet Data Import and to automate data transmission

and thus allow them to automatically capture data from their accounting databases and send them to

us. In the case of batch data transmission, there must also be an interest on the side of the reporting

unit to carry out certain adjustments and upgrades of its information systems, in the direction of enabling

the preparation and sending of data in the form of xml for the needs of statistics.

When collecting data from persons, households and farmers, in 2020 we started to develop a completely

new information system (called OSA), which will provide information support for the planning,

management and implementation of collection process. The new system includes management of

interviewers, management through survey, managing the work of field and telephone interviewers (CAPI

and CATI management), analytics and an input database of reported data. Its development follows the

basic goal, which is the construction and implementation of information support for a unified data

collection process, which will be as automated, simple, transparent, secure and in accordance with the

legislation governing the handling of personal data as possible. Since the collection process is part of a

wider process model of statistical production and since we plan to create and implement information

support for the entire collection system gradually, the key feature of OSA is also interoperability and

connectivity with existing systems at SURS. The new system will obtain the necessary information and

data for the preparation and management of the collection process by connecting to the necessary

internal databases and registers. The majority of tasks that are now done manually will be digitised. This

4

is especially necessary from the point of view of protecting personal data. The renovation of this part of

the data collection is planned to be completed by the end of 2025.

Similar to the business surveys, also by household surveys other changes were introduced regularly.

So mobile applications for data entry were developed and tested in some more comprehensive surveys

(e.g. HBS online diary, Passenger Mobility). Unfortunately, the respondents' interest for using the

mentioned applications in our case was not great, and at the same time, the costs of their development

were quite high. For these reasons, it will be necessary in the future to find additional ways how to

motivate respondents for using such new tools.

Since we obtain a significant part of the data from various administrative and other sources, we have

also started to introduce as much as possible technical solutions that enable reliable, secure, quick and

automatic exchange of data between institutions on agreed dates. These are online services that are

particularly useful in cases where data transmission by their owners is carried out very often, e.g. weekly,

monthly. This part of data collection is managed according to the System for Exchange of Data

Collection and operational strategy and guidelines on cooperation with data providers. The system

contains detailed information on all administrative and other sources that we receive from different data

holders (e.g. name of the source, periodicity and method of data transmission, type and size of data,

metadata, etc.).

In addition to the mentioned updating of the data collection systems, also several new data sources,

e.g. earth observation data, cash register and financial transactions data, are also being studied and

tested, the use of which for statistical purposes also requires adjustments in the statistical processes

and implementation of new technical solutions.

How to motivate reporting units to respond?

Regardless of all the technical changes and digitisation of procedures that we are doing at the statistical

office in the area of data collection, the performance of data providers and respondents is also very

important for success. Numerous changes in society and in the economy, and various crises also

affected businesses’ and household’ willingness to participate in statistical surveys. In particular,

individuals are less and less willing to provide answers. The NSIs, including SURS, are therefore

encountering an increasing refusal of cooperation and, as a result, declining response rates. On the side

of business entities, the situation is in the case of Slovenia is still relatively good for the time being, but

even here, especially among micro and small businesses, dissatisfaction is also increasing and much

more effort is required to maintain high response rates.

It was necessary to take certain measures particularly in the case of household surveys. The Slovenian

statistical office focused its current activities on two areas, namely on strengthening the visibility and

promotion of data collection and on better knowledge of the characteristics of its data providers.

Promotion of data collection

In order to preserve the existing data sets as much as possible and to strengthen partnerships with the

holders of administrative and other data sources, but also to establish new connections, to ensure easier

access to new data sources, to detect novelties and changes in data sources, to strengthen importance

of statistics, a special Statistical Advisory Committee on Cooperation with Data Providers1 was

established in 2021. It brings together representatives of various state institutions that are holders of

various data sources, representatives of chambers and associations, as well as some business entities.

It meets twice a year and discusses current topics related to data and collection. For example, the

revision of the NACE classification was presented and discussed at the last meeting in May 2023.

To facilitate the work of everyone who provides data or is invited to participate in statistical surveys as

much as possible, we renovated the entry point for data collection in 2023, making it more visible,

1 https://www.stat.si/StatWeb/en/NationalStatistics/AdvCommittees

5

attractive and informative. The entry point Help create statistics – data collection2 was put on the front

page of the SURS website and is divided into five sections (i.e. for enterprises, households, Intrastat,

Ajpes, interviewers), where, for example, the sections for business entities and households contain

information on the collection and use of data, on confidentiality and protection of personal data, basic

information on each individual survey, reporting deadlines, and contacts. The data collection entry point

now provides all information regarding the collection and submission of data in one place, the set and

structure of information for different data providers is mainly the same, sets with most common questions

and answers were prepared for all surveys, etc. It also contains more visible links to more detailed

explanations and data on individual surveys. Most of the information is also available in English, because

the share of questions from business entities whose owners or headquarters are abroad is constantly

increasing. In connection with the new page, we have also designed a slogan “Help create statistics”,

which was added on all communication materials, which were also renewed.

During data collection, communication with reporting units takes place in different ways (advance letters,

reminders, follow-up, and motivation letters) and also in different time periods through the central help

desk and taking into account the strategy for communication with reporting units. For quite a few years,

we also had the practice of thanking the business entities for their cooperation at the end of the year

with a greeting. In the advance letter about the selection for reporting by selected survey a sentence

with latest interesting statistical data is added (e.g. Did you know…) as well as a link to the latest

published results of this survey.

To strengthen recognition and to encourage participation in household surveys, we have prepared

several new promotional materials, e.g. bookmarks with basic information about the survey and its

results for four field surveys, post-it magnets and a leaflet for the HBS, publication of short news on

social media.

In the case of the HBS, which is our longest and most comprehensive survey, it was already shown

during the pilot that people's willingness to participate is much lower than during its last performance a

few years ago. Therefore, already during the preparations in the second half of 2021, consideration was

given to the implementation of additional measures. First, it was decided to give promotional gifts to all

selected households, later a decision was made to offer also a prize game. An internal working group

was formed, which in the beginning of 2022 prepared all the necessary documents (instructions,

guidelines, communication materials, leaflet), defined the process for conducting the prize draw and

determined the conditions for participation in the game and the prizes. Everyone who sent us a

completed questionnaire and kept a diary for two weeks could participate in the prize draw that took

place after the end of the remaining three quarters. Five prizes of EUR 250 each were available in each

quarter, but not all were awarded at the end. Later analyses of response rates and information obtained

from interviewers and respondents showed that the possibility of obtaining a prize did not significantly

increase the willingness to participate in the survey. Only one third of respondents were encouraged to

participate in the survey due to the possibility of winning a prize. In the third and fourth quarters, we

received 7% more diaries than in the first two quarters, but still at the end, the response rate for the

questionnaire was 33% and for the dairy 25%, which is 15 percentage points lower than in 2018. The

response rate also decreased in the other surveys, but not so much. According to information from the

field, small promotional gifts (pencil and post-it magnet) had a slightly greater positive effect, but still

people are less and less willing to provide detailed information about household consumption and

answer a questionnaire that is very long. So far, we have not decided what will happen with the prize

game in the future. Given the impact it had, we probably won't keep it. Considering the practices of other

countries, many of which pay for participation in large-scale surveys, we will probably test also this

approach.

2 https://www.stat.si/StatWeb/en/DataCollection/CreateStatistics

6

In the case of some larger surveys (e.g. EU-SILC, LFS), analyses were also made which data could be

obtained from already existing data sources or if some questions could be omitted. So some

rationalization of the questionnaires was achieved also in this way.

Profiling of data providers

In order to obtain as much information as possible about our potential respondents, their characteristics

and behaviour, with the aim of adapting our data collection activities accordingly, we started several

projects. The first one is aimed at profiling and segmentation of data providers in household surveys.

In March 2023, in cooperation with an external contractor, SURS started a new project profiling

(segmentation) of persons, the purpose of which is to analyse persons who are selected in our

household surveys. Based on these analyses, we would like to determine several most typical groups

of responders/persons, their typical characteristics and later design a strategy, activities how to address

them in the most effective way and so to increase their willingness to participate in household surveys.

A working group was formed and several activities were carried out (e.g. agreement on the method and

course of work, exchange of information and materials, consultation with the legal department,

interviews with some telephone and field interviewers), while the project is expected to end by the end

of June 2023. First results are interesting and promising. Based on the information obtained, the external

contractor formed several potential groups, e.g. around 20% of people will refuse to participate in any

case, some are ready to participate only once, some are willing to participate only digitally, some have

never been selected to participate in statistical surveys. The project also showed that it will be necessary

to work more on the training of the interviewers, on the use of different communication materials for

different groups of respondents, contacting them through different tools.

SURS has also joined the international project Study of Respondents' Perceptions in Relation to Data

Collection, within the framework of which the respondents' willingness to use different smart features,

which foresees the transmission of more accurate data in a simpler way, will be investigated. At the

same time, SURS participates in the national research project Probability Web Panels in National

Statistics for Persons and Households. In this project the potential use of probability web panels for

official statistics about general population in Slovenia is explored.

Concluding remarks

Collected and processed data are becoming increasingly important and valuable in the 21st century -

new black gold not only for statistics. At the same time, various changes in society, crises, and

digitisation have also affected the behaviour of people and companies, and therefore data collection is

becoming increasingly challenging. The realization that we probably know too little about these changes

as well as about the functioning and behaviour of individuals was also one of the reasons to start

researching these matters into more detail.

In view of growing problems associated with conducting traditional surveys and a great need for fast

and reliable data, it is important to find adequate solutions to overcome these challenges as soon as

possible. Data collection should be tailored to the respondents` information sources and preferences,

more and more taking into account better knowledge of their functioning and behaviour, their

characteristics.

The quality of data collection instruments is vital for response quality. Further introduction of technical

improvements and digitisation of collection processes are necessary, but without good knowledge and

cooperation with the data providers, we will not be able to achieve the desired results. Only synergy

between both sides will bring the desired results. Intensive cooperation and partnership with public and

private data holders should also continue.

SURS is also planning to further improve its visibility among data providers and it will continue to

strengthen its marketing and information activities by focusing on the benefits of statistics and the

7

important role of the respondents in data collection. We will try to reduce non-response by developing a

tailored approach, by proactive communication strategies and by using modern collection instruments.

Reference:

‐ Pavlovič I., Arnež M. (2023), Report on the implementation of a prize game in the Household

Budget Survey, SURS

‐ Salemink I., Dufour S., Steen M. (2019), Vision Paper on Future Advanced Data Collection,

Statistics Canada, CBS

‐ SURS (2023), Self-Assessment Questionnaire, European Statistical System Peer Reviews

Statistical data collection - how to make it attractive for respondents - Ema Mišić (Statistical Office of the Republic of Slovenia)

Languages and translations
English

Statistical data collection – how

to make it attractive for

respondents

Ema Mišić

Data Collection Division

1

UNECE Expert meeting on Statistical Data Collection, „Rethinking Data

Collection“, 12-14 June 2023

Changes, development, statistics…

2

Numerous changes in society, various crises, digitalisation, globalisation, data revolution

Strong impact on data, infrastructure, influence on businesses & individuals, their behaviour

Require changes in statistical offices, in data collection, modernization of processes, new approaches and data sources

Data sources

3

Field data collection

• 68 business surveys  70,000 business entities

• 13 household & farm surveys  200,000 people

Administrative & other data sources

• Almost 200 administrative & other data sources

• Agreements signed with almost 80 institutions

• Almost 300 different type of data received yearly

Other sources

• Scanner price data

• Web scraping, models

• Data of system operators for electricity & gas, mobile operators

Data collection

4

Primary data collection

• Business surveys  mandatory, WEB 96%

• Household surveys  voluntary, WEB 60%

Secondary data collection

• Various admin. registers

• Administrative sources

• Privately held data

1/3

2/3

Modernisation of data collection

5

Business surveys

Major technical renovation of WEB portal eStat

Other innovations – pre-filled questionnaires, code books

Packet data import

Household surveys

Development of new information system OSA for management of whole collection process

Development & pilot use of mobile apps for data entry

Administrative & other sources

Development of online service for data exchange between institutions

System for Exchange of Data Collection – all information about administrative sources in one place

Promotion of data collection

6

Renovated entry point for data collection

Advisory Committee on cooperation with data

providers

Central help desk for enterprises & individuals

Different promotional activities

Profiling of data providers

7

• Project of analysis of persons, their characteristics

• Determination of typical groups of respondents

• Adaptation of the communication strategy

Profiling (segmentation) of persons

• Investigation of respondents willingness to use smart features

Study of respondents perceptions

• Project of potential use of probability web panels

• Carried out in cooperation with university

Probability web panels

Concluding remarks

8

Changes

• Various changes in a society, crises

• New data sources, digitalisation

• Changes in the behaviour of people, business entities

• Quick response & adaptation to all changes is necessary

Collection

• Data collection tailored to the respondents' information sources & preferences

• Implementation of new ways of data collection & digitalisation of processes

• Maximum use of administrative & other new data sources

Communication

• Improve the visibility & importance of statistics among data providers

• Emphasize the important role of data providers in data collection

• Adapt communication to different respondents groups

Cooperation

• Synergy & partnerships with public & private data holders

• Good knowledge & intensive cooperation with data providers

UNECE Expert meeting on Statistical Data Collection, „Rethinking Data Collection“, 12-14

June 2023

Statistical data collection - how to make it attractive for

respondents

Ema Mišić

Data Collection Division

Statistical Office of the Republic of Slovenia

The Slovenian Statistical Office (SURS) prepares official statistical data based on various data

sources. A considerable part of the data is still obtained traditionally, i.e. by collecting them

directly from various reporting units in the field.

Collecting data directly from business entities, and especially from individuals and households,

has become very difficult, demanding and a big challenge in recent year or two. Numerous

changes in society and in the economy, which are the result of digitisation, globalization, and

rapid technological development, and various crises also affected businesses and individuals

and particularly their attitude regarding the participation in statistical surveys. In particular,

individuals are less and less willing to participate in statistical surveys. The NSIs, including

SURS, are therefore encountering an increasing refusal of cooperation and, as a result,

declining response rates. On the side of businesses, the situation in the case of Slovenia is

still relatively good for the time being, but even here, especially among micro and small

businesses, dissatisfaction and refusal to cooperate are increasing.

In the past year, SURS devoted a lot of time and activities to finding ways to encourage

respondents to participate, to increase awareness of the importance of providing data to

statistics, and to strengthen cooperation with data providers. Thus, we renovated the online

portal for data collection, established a statistical council for cooperation with data providers,

renovated communication materials, etc. The paper presents the innovations and tools already

implemented as well as those that are being planned.

2

Introduction

Collecting data directly from business entities, and especially from individuals and households, has

become very difficult and a big challenge in recent year or two. In order to successfully tackle and

overcome different issues and challenges, it was necessary to react and do something. In addressing

these different challenges related to data collection, SURS, i.e. its Data Collection Division, focused on

four keywords: changes, collection, communication and cooperation (4 C's).

In the past year, a lot of time and energy were devoted to finding ways to modernise and digitise the

collection process, to encourage and motivate respondents to participate in surveys, to increase

awareness of the importance of providing data to statistics, to learn more about the outside world and

to strengthen cooperation with data providers. This paper illustrates some of these activities as well as

those that are still in front of us.

Data sources and data collection

SURS prepares official statistical data based on various data sources. A considerable part of the data

is still obtained traditionally, i.e. by collecting them directly from the various reporting units in the field.

Another very important source, even dominant in the last decade, is data from administrative sources,

the custodians of which are various state institutions. The third source is databases, established by

various business entities for their own needs or as part of their operations and may be treated as

privately held data. The fourth source is the (un)structured digital records that we all leave behind in an

increasingly digitised society or are available on the web.

In 2022, SURS, together with its partner institutions, conducted 68 business surveys, in which data were

obtained directly from around 70,000 business entities, which completed almost one million

questionnaires. The response rate for these surveys averaged nearly 90%, with a higher response rate

for monthly surveys and a lower response rate for annual and multi-year surveys. In addition, it

conducted another 13 surveys in which data were obtained directly from individuals and households,

and farmers. This meant that almost 200,000 people were selected in the samples, and answers were

obtained from almost 90,000 people.

For the rest of the surveys (more than 100), data were obtained from already existing databases or

sources. In 2022, SURS obtained data from almost 200 administrative and other data sources managed

by 76 different institutions or companies. Almost 300 different types of data were taken from these

sources. Various register data are also used. SURS has a long history of using registers and a tradition

of extended use of administrative sources. Thus, quite a few new data sources are acquired every year.

SURS also receives scanner price data from the biggest retailers, obtains data through web scraping,

prepares some statistics using models and also uses data obtained by system operators for electricity

and gas from smart devices and on roaming by mobile operators.

Participation in statistical surveys is mandatory for business entities, but voluntary for individuals,

households and farmers. Also, the National Statistics Act defines that the holders of databases must

provide access to their data for statistical purpose free of charge. In the case of privately held data this

is not always an easy task and self-evident. SURS concludes an agreement, technical protocol or

contract with every holder of administrative and other data source and also takes care that national

identification numbers (personal identification number, company registration number), standard

classifications and definitions are extensively used in administrative data sources.

Taken as a whole, SURS obtains data from administrative and other sources for more than two thirds

of the surveys, while for the remaining third it still obtains data through direct collection. The latter

prevails in household and agricultural surveys.

3

Digitisation and new ways of data collection

Nowadays, digitisation is no longer a choice, it is a necessity. In the global economy, it is clear: whoever

is not quick, responsive, flexible and innovative will fall behind. The digitisation requires changes and

the development of new ways of functioning, organisation and implementation not only on the side of

NSIs but also in the external environment, on the side of our data providers, respondents. Since the

digitisation is a process that lasts and statisticians should create it together with data providers,

implementation of changes, innovations in data collection was necessary and is carried out also in

cooperation with external world.

SURS collects data for business surveys in most cases electronically via the reporting portal called

eSTAT, while household and agricultural surveys are in most cases carried out using multimode

approaches, but telephone and field data collection prevail. In the last three years, by many of those

surveys, we have added online collection or as in the case of the survey on the careers of doctorate

holders collected data only online (CAWI). In the case of household surveys, the WEB collection is used

in 60% of surveys, while the share of e-reporting by business surveys is 96%.

Due to the very important role that primary data collection still plays in the case of business entities and

households, the two systems we use for data collection are currently subject to major renovations. It is

very important that the systems for data collection are modern, interoperable, secure, and easy to use

and manage.

The eSTAT web portal was set up more than ten years ago, so the renovation was necessary,

particularly from a technical point of view. The main purpose of its upgrading is to provide a single

internal entry point and connect several different applications that we use now into a common system

that will allow simpler administration, optimization of business logic, ensure a better user experience

through renewed processes and offer also a friendlier look and transparency of data or processes. The

renovation takes place in several phases, of which the renovation of modules related to internal users,

managing of the application and connecting different data sources to prepare the main directory have

already been done. While the renovation of the business assistance application, called help desk, and

the upgrading of the entry point for business entities are still under development.

In addition to the comprehensive technical renovation, other innovations were also introduced into the

data collection process. Whenever possible, especially in the case of accounting and financial data, the

questionnaires are pre-filled for the reporting units or facilitate their filling by providing the necessary

code books to simplify reporting. Under development is also to supplement eSTAT with the possibility

for business entities to submit data in the form of Packet Data Import and to automate data transmission

and thus allow them to automatically capture data from their accounting databases and send them to

us. In the case of batch data transmission, there must also be an interest on the side of the reporting

unit to carry out certain adjustments and upgrades of its information systems, in the direction of enabling

the preparation and sending of data in the form of xml for the needs of statistics.

When collecting data from persons, households and farmers, in 2020 we started to develop a completely

new information system (called OSA), which will provide information support for the planning,

management and implementation of collection process. The new system includes management of

interviewers, management through survey, managing the work of field and telephone interviewers (CAPI

and CATI management), analytics and an input database of reported data. Its development follows the

basic goal, which is the construction and implementation of information support for a unified data

collection process, which will be as automated, simple, transparent, secure and in accordance with the

legislation governing the handling of personal data as possible. Since the collection process is part of a

wider process model of statistical production and since we plan to create and implement information

support for the entire collection system gradually, the key feature of OSA is also interoperability and

connectivity with existing systems at SURS. The new system will obtain the necessary information and

data for the preparation and management of the collection process by connecting to the necessary

internal databases and registers. The majority of tasks that are now done manually will be digitised. This

4

is especially necessary from the point of view of protecting personal data. The renovation of this part of

the data collection is planned to be completed by the end of 2025.

Similar to the business surveys, also by household surveys other changes were introduced regularly.

So mobile applications for data entry were developed and tested in some more comprehensive surveys

(e.g. HBS online diary, Passenger Mobility). Unfortunately, the respondents' interest for using the

mentioned applications in our case was not great, and at the same time, the costs of their development

were quite high. For these reasons, it will be necessary in the future to find additional ways how to

motivate respondents for using such new tools.

Since we obtain a significant part of the data from various administrative and other sources, we have

also started to introduce as much as possible technical solutions that enable reliable, secure, quick and

automatic exchange of data between institutions on agreed dates. These are online services that are

particularly useful in cases where data transmission by their owners is carried out very often, e.g. weekly,

monthly. This part of data collection is managed according to the System for Exchange of Data

Collection and operational strategy and guidelines on cooperation with data providers. The system

contains detailed information on all administrative and other sources that we receive from different data

holders (e.g. name of the source, periodicity and method of data transmission, type and size of data,

metadata, etc.).

In addition to the mentioned updating of the data collection systems, also several new data sources,

e.g. earth observation data, cash register and financial transactions data, are also being studied and

tested, the use of which for statistical purposes also requires adjustments in the statistical processes

and implementation of new technical solutions.

How to motivate reporting units to respond?

Regardless of all the technical changes and digitisation of procedures that we are doing at the statistical

office in the area of data collection, the performance of data providers and respondents is also very

important for success. Numerous changes in society and in the economy, and various crises also

affected businesses’ and household’ willingness to participate in statistical surveys. In particular,

individuals are less and less willing to provide answers. The NSIs, including SURS, are therefore

encountering an increasing refusal of cooperation and, as a result, declining response rates. On the side

of business entities, the situation is in the case of Slovenia is still relatively good for the time being, but

even here, especially among micro and small businesses, dissatisfaction is also increasing and much

more effort is required to maintain high response rates.

It was necessary to take certain measures particularly in the case of household surveys. The Slovenian

statistical office focused its current activities on two areas, namely on strengthening the visibility and

promotion of data collection and on better knowledge of the characteristics of its data providers.

Promotion of data collection

In order to preserve the existing data sets as much as possible and to strengthen partnerships with the

holders of administrative and other data sources, but also to establish new connections, to ensure easier

access to new data sources, to detect novelties and changes in data sources, to strengthen importance

of statistics, a special Statistical Advisory Committee on Cooperation with Data Providers1 was

established in 2021. It brings together representatives of various state institutions that are holders of

various data sources, representatives of chambers and associations, as well as some business entities.

It meets twice a year and discusses current topics related to data and collection. For example, the

revision of the NACE classification was presented and discussed at the last meeting in May 2023.

To facilitate the work of everyone who provides data or is invited to participate in statistical surveys as

much as possible, we renovated the entry point for data collection in 2023, making it more visible,

1 https://www.stat.si/StatWeb/en/NationalStatistics/AdvCommittees

5

attractive and informative. The entry point Help create statistics – data collection2 was put on the front

page of the SURS website and is divided into five sections (i.e. for enterprises, households, Intrastat,

Ajpes, interviewers), where, for example, the sections for business entities and households contain

information on the collection and use of data, on confidentiality and protection of personal data, basic

information on each individual survey, reporting deadlines, and contacts. The data collection entry point

now provides all information regarding the collection and submission of data in one place, the set and

structure of information for different data providers is mainly the same, sets with most common questions

and answers were prepared for all surveys, etc. It also contains more visible links to more detailed

explanations and data on individual surveys. Most of the information is also available in English, because

the share of questions from business entities whose owners or headquarters are abroad is constantly

increasing. In connection with the new page, we have also designed a slogan “Help create statistics”,

which was added on all communication materials, which were also renewed.

During data collection, communication with reporting units takes place in different ways (advance letters,

reminders, follow-up, and motivation letters) and also in different time periods through the central help

desk and taking into account the strategy for communication with reporting units. For quite a few years,

we also had the practice of thanking the business entities for their cooperation at the end of the year

with a greeting. In the advance letter about the selection for reporting by selected survey a sentence

with latest interesting statistical data is added (e.g. Did you know…) as well as a link to the latest

published results of this survey.

To strengthen recognition and to encourage participation in household surveys, we have prepared

several new promotional materials, e.g. bookmarks with basic information about the survey and its

results for four field surveys, post-it magnets and a leaflet for the HBS, publication of short news on

social media.

In the case of the HBS, which is our longest and most comprehensive survey, it was already shown

during the pilot that people's willingness to participate is much lower than during its last performance a

few years ago. Therefore, already during the preparations in the second half of 2021, consideration was

given to the implementation of additional measures. First, it was decided to give promotional gifts to all

selected households, later a decision was made to offer also a prize game. An internal working group

was formed, which in the beginning of 2022 prepared all the necessary documents (instructions,

guidelines, communication materials, leaflet), defined the process for conducting the prize draw and

determined the conditions for participation in the game and the prizes. Everyone who sent us a

completed questionnaire and kept a diary for two weeks could participate in the prize draw that took

place after the end of the remaining three quarters. Five prizes of EUR 250 each were available in each

quarter, but not all were awarded at the end. Later analyses of response rates and information obtained

from interviewers and respondents showed that the possibility of obtaining a prize did not significantly

increase the willingness to participate in the survey. Only one third of respondents were encouraged to

participate in the survey due to the possibility of winning a prize. In the third and fourth quarters, we

received 7% more diaries than in the first two quarters, but still at the end, the response rate for the

questionnaire was 33% and for the dairy 25%, which is 15 percentage points lower than in 2018. The

response rate also decreased in the other surveys, but not so much. According to information from the

field, small promotional gifts (pencil and post-it magnet) had a slightly greater positive effect, but still

people are less and less willing to provide detailed information about household consumption and

answer a questionnaire that is very long. So far, we have not decided what will happen with the prize

game in the future. Given the impact it had, we probably won't keep it. Considering the practices of other

countries, many of which pay for participation in large-scale surveys, we will probably test also this

approach.

2 https://www.stat.si/StatWeb/en/DataCollection/CreateStatistics

6

In the case of some larger surveys (e.g. EU-SILC, LFS), analyses were also made which data could be

obtained from already existing data sources or if some questions could be omitted. So some

rationalization of the questionnaires was achieved also in this way.

Profiling of data providers

In order to obtain as much information as possible about our potential respondents, their characteristics

and behaviour, with the aim of adapting our data collection activities accordingly, we started several

projects. The first one is aimed at profiling and segmentation of data providers in household surveys.

In March 2023, in cooperation with an external contractor, SURS started a new project profiling

(segmentation) of persons, the purpose of which is to analyse persons who are selected in our

household surveys. Based on these analyses, we would like to determine several most typical groups

of responders/persons, their typical characteristics and later design a strategy, activities how to address

them in the most effective way and so to increase their willingness to participate in household surveys.

A working group was formed and several activities were carried out (e.g. agreement on the method and

course of work, exchange of information and materials, consultation with the legal department,

interviews with some telephone and field interviewers), while the project is expected to end by the end

of June 2023. First results are interesting and promising. Based on the information obtained, the external

contractor formed several potential groups, e.g. around 20% of people will refuse to participate in any

case, some are ready to participate only once, some are willing to participate only digitally, some have

never been selected to participate in statistical surveys. The project also showed that it will be necessary

to work more on the training of the interviewers, on the use of different communication materials for

different groups of respondents, contacting them through different tools.

SURS has also joined the international project Study of Respondents' Perceptions in Relation to Data

Collection, within the framework of which the respondents' willingness to use different smart features,

which foresees the transmission of more accurate data in a simpler way, will be investigated. At the

same time, SURS participates in the national research project Probability Web Panels in National

Statistics for Persons and Households. In this project the potential use of probability web panels for

official statistics about general population in Slovenia is explored.

Concluding remarks

Collected and processed data are becoming increasingly important and valuable in the 21st century -

new black gold not only for statistics. At the same time, various changes in society, crises, and

digitisation have also affected the behaviour of people and companies, and therefore data collection is

becoming increasingly challenging. The realization that we probably know too little about these changes

as well as about the functioning and behaviour of individuals was also one of the reasons to start

researching these matters into more detail.

In view of growing problems associated with conducting traditional surveys and a great need for fast

and reliable data, it is important to find adequate solutions to overcome these challenges as soon as

possible. Data collection should be tailored to the respondents` information sources and preferences,

more and more taking into account better knowledge of their functioning and behaviour, their

characteristics.

The quality of data collection instruments is vital for response quality. Further introduction of technical

improvements and digitisation of collection processes are necessary, but without good knowledge and

cooperation with the data providers, we will not be able to achieve the desired results. Only synergy

between both sides will bring the desired results. Intensive cooperation and partnership with public and

private data holders should also continue.

SURS is also planning to further improve its visibility among data providers and it will continue to

strengthen its marketing and information activities by focusing on the benefits of statistics and the

7

important role of the respondents in data collection. We will try to reduce non-response by developing a

tailored approach, by proactive communication strategies and by using modern collection instruments.

Reference:

‐ Pavlovič I., Arnež M. (2023), Report on the implementation of a prize game in the Household

Budget Survey, SURS

‐ Salemink I., Dufour S., Steen M. (2019), Vision Paper on Future Advanced Data Collection,

Statistics Canada, CBS

‐ SURS (2023), Self-Assessment Questionnaire, European Statistical System Peer Reviews

Implementation of the EU survey on gender-based violence against women and other forms of inter-personal violence (EU-GBV), Slovenia

Languages and translations
English

EU-GBV survey implementation in

Slovenia

UNECE

May 2023

Nejc Kebe

[email protected]

This presentation was funded by the European Union.

THE CONTENT

• Key information

• Adaptation of the questionnaire

• Sampling

• Interviewer selection and training

• Fieldwork during COVID-19

• Strategies for reducing non-response

• Observations

• Publication

• Conclusion

2 This presentation was funded by the European Union.

January 2020

December 2020

KEY INFORMATION

• Sample size

5,000 persons (women and men)

age 18-74 years

• Interview mode

planned: CAWI + CAPI (CASI)

realized: CAWI + CATI

• Time of interviewing

September–December 2020

3 This presentation was funded by the European Union.

• 2 versions of the questionnaire (CAWI and CAPI/CATI)

• In-house testing

• "Personal safety in private environment„ - importance of

the survey title (to not include the word „violence“)

ADAPTATION OF THE QUESTIONNAIRE

4

SAMPLING

• Target population: residents of the Republic of Slovenia from

Central Population Register & Demographic Database

• Sample not split by mode of data collection

• Excluded: collective households, homeless persons

• One person per household

• Proxy not allowed

5 This presentation was funded by the European Union.

INTERVIEWER SELECTION

• 40 interviewers

• All female

• Middle-aged (no students, no elderly)

• Main skills: communicative, with drivers license,

information literacy

6 This presentation was funded by the European Union.

INTERVIEWER TRAINING (1)

7 This presentation was funded by the European Union.

1. MANUAL

• General information on the EU-GBV

• Content of the two-day training (general and special

information)

• FAQ and answers

• Exercises (cases with solutions)

2. TWO-DAY TRAINING

Day 1 (SURS‘s staff)

• survey logistics

• introduction to the survey

• questionnaire presentation

Day2 (VAW expert from the NGO)

• facts and myths about violence

• types of violence

• communication during the interview

• safety during the interview

• exercises

8 This presentation was funded by the European Union.

INTERVIEWER TRAINING (2)

THE FIELDWORK

CAWI September –

end of

December 2020

CAPI (CASI) October –

end of

December 2020

PLAN

CAWI September –

early December

2020

CATI October –

early December

2020

REALISATION

9 This presentation was funded by the European Union.

STRATEGIES FOR REDUCING NON-RESPONSE

• Official introductory letter (standard)

• Two reminders (standard)

• Third reminder

10 This presentation was funded by the European Union.

• Survey on Personal Safety

(not „violence“)

• Voluntary basis

• Confidentiality issues

• Free telephone number

• Approximate length of the

interview etc.

• Username/password

OBSERVATIONS

• It is important that the respondent has enough

time to think before responding.

• CAWI is the most usefull mode of data

collection.

• Biggest drop-off was at violence experienced in

childhood.

11

The impact of the communication materials on the number of responses to the CAWI

questionnaire

12 This presentation was funded by the European Union.

CATI interviewing

Interviewer training &

Government restrictions

PUBLICATION

13

• Main challenges and conclusions:

Organization, adaptation, implementation of the questionnaire and

the fieldwork during the COVID-19 pandemic.

Accept support (regarding the sensitiveness of the survey) from

the national VAW expert for the SURS GBV team and for the

interviewers.

Be careful when interpreting the results of this survey. The social

context is very important.

14 This presentation was funded by the European Union.

CONCLUSIONS

Our publicatications:

https://www.stat.si/StatWeb/en/News/Index/10159

https://pxweb.stat.si/SiStat/en/Podrocja/Index/53/quality-of-life

Nejc Kebe

[email protected]

This presentation was funded by the European Union.

Market Forecast Tables 2022

These tables show forest products production and trade forecasts for 2022 and 2023. These cover roundwood (logs, pulpwood and fuel wood), sawnwood (coniferous and non-coniferous), wood-based panels (plywood, particle board, OSB and fibreboard), pulp, paper and wood pellets.  The forecast data are provided by national correspondents and approved at the meeting of the Committee on Forests and the Forest Industry.

Languages and translations
English

List of tables

List of Tables and Notes
Table 1 - Sawn Softwood
Table 2 - Sawn Hardwood (total)
Table 2a - Sawn Hardwood (temperate)
Table 2b - Sawn Hardwood (tropical)
Table 3 - Veneer Sheets
Table 4 - Plywood
Table 5 - Particle Board (excluding OSB)
Table 5a - Oriented Strand Board
Table 6 - Fibreboard
Table 6a - Hardboard
Table 6b - MDF/HDF
Table 6c - Other Fibreboard
Table 7 - Wood Pulp
Table 8 - Paper and Paperboard
Table 9 - Removals of wood in the rough
Table 9a - Removals of wood in the rough (softwood)
Table 9b - Removals of wood in the rough (hardwood)
Table 10 - Softwood sawlogs
Table 11 - Hardwood sawlogs
Table 11a - Hardwood logs (temperate)
Table 11b - Hardwood logs (tropical)
Table 12 - Pulpwood
Table 12a - Pulpwood (softwood)
Table 12b - Pulpwood (hardwood)
Table 12c - Wood Residues, Chips and Particles
Table 13 - Wood Pellets
Table 14 - Europe: Summary table of market forecasts for 2022 and 2023
Table 15 - North America: Summary table of market forecasts for 2022 and 2023
Source: UNECE Committee on Forests and the Forest Industry , November 2022, http://www.unece.org/forests/fpm/timbercommittee.html
Notes: Data in italics are estimated by the secretariat. EECCA is Eastern Europe, Caucasus and Central Asia.
Data for the two latest years are forecasts.
In contrast to previous years, data are shown only for countries providing forecasts. Sub-regional totals are only for reporting countries.
Data are shown only for countries providing forecasts. Sub-regional totals thus reflect only the reporting countries of the subregion. No sub-regional forecast is provided for "Eastern Europe, Caucasus and Central Asia" due to lack of information provided by countries in this sub-region.
Germany – Pellets consumption is an estimated consumption as reported by Pellet Federation. There is a difference between reported consumption and apparent consumption of 242,000 metric tonnes and 214,000 metric tonnes, respectively. For 2022 and 2023, this difference is additionally stored at newly installed plants, i.e. sold but not yet consumed.
Slovenia trade figures are lower than actual as they do not include estimates for non-recorded trade with other EU countries.
Polish trade data exclude non-reporters (estimated at 1-3% of total). Residues exclude recovered wood. Polish sawnwood data exclude shop lumber. Wood pulp production is in metric tonnes, not air-dried, and excludes recovered fibre pulp. Wood pellets production data includes briquettes and non-wood based material.
United Kingdom production figures for OSB is secretariat estimate.
Softwood = coniferous, hardwood = non-coniferous
For tables 1-13, data in italics are secretariat estimates or repeated data. All other data are from national sources and are of course estimates for the current and future year.
Countries with nil, missing or confidential data for all years on a table are not shown.

Table 1

5.C
TABLE 1
SAWN SOFTWOOD SCIAGES CONIFERES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 6,547 6,469 6,400 10,582 10,370 10,300 1,911 2,045 2,000 5,947 5,947 5,900 Autriche
Bulgaria Bulgaria 528 ... ... 638 ... ... 25 ... ... 135 ... ... Bulgarie
Cyprus Cyprus 32 33 32 2 1 1 31 32 31 0 0 0 Chypre
Czech Republic Czech Republic 3,250 3,249 3,272 5,015 5,144 5,279 526 555 560 2,291 2,450 2,567 République tchèque
Estonia Estonia 2,296 1,910 1,910 1,600 1,600 1,600 1,699 1,360 1,360 1,003 1,050 1,050 Estonie
Finland Finland 3,731 3,650 3,570 11,900 11,750 12,200 547 350 70 8,716 8,450 8,700 Finlande
Germany Germany 20,104 19,800 19,500 25,313 25,300 25,000 5,700 5,000 4,500 10,909 10,500 10,000 Allemagne
Latvia Latvia 1,968 1,500 1,300 3,641 3,500 3,300 1,463 900 700 3,136 2,900 2,700 Lettonie
Luxembourg Luxembourg 56 43 43 39 39 39 28 5 5 12 1 1 Luxembourg
Malta Malta 7 8 9 0 0 0 7 8 9 0 0 0 Malte
Netherlands Netherlands 3,036 2,905 2,850 110 100 100 3,408 3,276 3,226 481 470 475 Pays-Bas
Poland Poland 4,857 4,750 4,900 4,583 4,500 4,650 1,239 1,250 1,300 965 1,000 1,050 Pologne
Portugal Portugal 632 730 665 817 850 840 121 130 125 306 250 300 Portugal
Serbia Serbia 379 400 422 99 110 120 295 300 310 15 10 8 Serbie
Slovakia Slovakia 563 650 675 1,302 1,300 1,325 324 350 350 1,063 1,000 1,000 Slovaquie
Slovenia Slovenia 627 600 550 904 1,000 970 563 500 500 840 900 920 Slovénie
Sweden Sweden 6,954 6,450 5,300 19,000 18,500 17,500 514 450 300 12,560 12,500 12,500 Suède
Switzerland Switzerland 1,245 1,275 1,315 1,150 1,180 1,220 280 275 270 185 180 175 Suisse
UK United Kingdom 10,960 8,920 9,410 3,574 3,010 3,400 7,623 6,150 6,250 237 240 240 Royaume-Uni
Total Europe 67,771 63,342 62,124 90,268 88,255 87,844 26,303 22,936 21,866 48,800 47,848 47,586 Total Europe
Canada Canada a 19,841 18,893 24,156 55,842 52,183 50,290 1,030 752 745 37,031 34,041 26,878 Canada a
United States United States a 88,263 88,484 89,272 63,417 64,178 64,820 26,931 26,270 26,533 2,085 1,963 2,081 Etats-Unis a
Total North America 108,104 107,378 113,428 119,259 116,361 115,109 27,961 27,021 27,277 39,116 36,005 28,959 Total Amérique du Nord
a converted from nominal to actual size using factor of 0.72 a convertis du dimension nominale au véritable avec une facteur du 0.72

Table 2

5.NC
TABLE 2
SAWN HARDWOOD (total) SCIAGES NON-CONIFERES (total)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 186 215 220 182 178 170 177 210 220 173 173 170 Autriche
Bulgaria Bulgaria 71 ... ... 79 ... ... 22 ... ... 30 ... ... Bulgarie
Cyprus Cyprus 6 7 6 0 0 0 6 7 6 0 0 0 Chypre
Czech Republic Czech Republic 416 427 430 145 147 151 338 340 344 67 60 65 République tchèque
Estonia Estonia 230 150 150 150 100 100 177 140 140 97 90 90 Estonie
Finland Finland 64 55 55 54 50 50 30 25 25 20 20 20 Finlande
Germany Germany 786 760 700 1,061 1,060 1,000 459 400 400 735 700 700 Allemagne
Latvia Latvia 234 160 150 797 850 750 75 60 50 638 750 650 Lettonie
Luxembourg Luxembourg 38 51 51 39 39 39 18 12 12 19 0 0 Luxembourg
Malta Malta 7 7 8 0 0 0 7 7 8 0 0 0 Malte
Netherlands Netherlands 309 301 283 38 40 40 343 331 308 72 70 65 Pays-Bas
Poland Poland 512 500 540 486 460 510 312 350 380 286 310 350 Pologne
Portugal Portugal 224 220 225 148 160 150 106 90 100 31 30 25 Portugal
Serbia Serbia 185 197 200 353 382 390 103 95 100 271 280 290 Serbie
Slovakia Slovakia 225 325 350 350 375 400 52 100 100 177 150 150 Slovaquie
Slovenia Slovenia 121 55 80 140 125 130 99 100 100 118 170 150 Slovénie
Sweden Sweden 111 110 110 100 100 100 50 45 45 39 35 35 Suède
Switzerland Switzerland 80 85 90 55 60 65 40 40 40 15 15 15 Suisse
UK United Kingdom 534 540 540 37 40 40 536 540 540 39 40 40 Royaume-Uni
Total Europe 4,338 4,166 4,188 4,215 4,166 4,085 2,950 2,892 2,918 2,826 2,893 2,815 Total Europe
Canada Canada 1,208 1,229 1,116 880 813 714 798 894 779 470 478 377 Canada
United States United States 14,348 15,065 14,707 17,326 17,607 17,467 717 1,040 878 3,695 3,581 3,638 Etats-Unis
Total North America 15,556 16,295 15,823 18,206 18,420 18,181 1,514 1,934 1,658 4,165 4,059 4,015 Total Amérique du Nord

Table 2a

TABLE 2a
SAWN HARDWOOD (temperate) SCIAGES NON-CONIFERES (zone tempérée)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 182 211 216 182 178 170 172 205 215 172 172 169 Autriche
Bulgaria Bulgaria 70 ... ... 79 ... ... 21 ... ... 30 ... ... Bulgarie
Cyprus Cyprus 4 3 2 0 0 0 4 3 2 0 0 0 Chypre
Czech Republic Czech Republic 409 421 424 145 147 151 329 331 335 65 57 62 République tchèque
Estonia Estonia 227 149 149 150 100 100 172 136 136 94 87 87 Estonie
Finland Finland 63 54 54 54 50 50 25 20 20 16 16 16 Finlande
Germany Germany 747 718 658 1,059 1,058 998 385 325 325 698 665 665 Allemagne
Luxembourg Luxembourg 27 49 49 39 39 39 6 10 10 19 0 0 Luxembourg
Malta Malta 6 6 7 0 0 0 6 6 7 0 0 0 Malte
Netherlands Netherlands 166 160 142 31 32 32 184 177 154 49 49 45 Pays-Bas
Poland Poland 498 485 524 486 459 509 295 333 362 283 307 347 Pologne
Portugal Portugal 222 190 197 136 150 137 74 50 70 -12 10 10 Portugal
Serbia Serbia 184 196 199 352 381 389 103 95 100 271 280 290 Serbie
Slovenia Slovenia 119 52 77 140 125 130 96 97 97 118 170 150 Slovénie
Sweden Sweden 111 109 109 100 100 100 49 44 44 37 35 35 Suède
Switzerland Switzerland 71 76 81 52 57 62 34 34 34 15 15 15 Suisse
UK United Kingdom 458 460 460 37 40 40 456 460 460 36 40 40 Royaume-Uni
Total Europe 3,563 3,340 3,349 3,042 2,917 2,908 2,411 2,326 2,372 1,890 1,903 1,931 Total Europe
Canada Canada 1,202 1,214 1,107 880 813 714 781 865 753 459 464 360 Canada
United States United States 14,162 14,835 14,498 17,326 17,607 17,467 491 773 632 3,656 3,545 3,600 Etats-Unis
Total North America 15,364 16,049 15,605 18,206 18,420 18,181 1,272 1,638 1,385 4,115 4,009 3,960 Total Amérique du Nord

Table 2b

5.NC.T
TABLE 2b
SAWN HARDWOOD (tropical) SCIAGES NON-CONIFERES (tropicale)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 4 4 4 0 0 0 5 5 5 1 1 1 Autriche
Bulgaria Bulgaria 1 ... ... 0 ... ... 1 ... ... 0 ... ... Bulgarie
Cyprus Cyprus 2 4 4 0 0 0 2 4 4 0 0 0 Chypre
Czech Republic Czech Republic 7 6 6 0 0 0 9 9 9 2 3 3 République tchèque
Estonia Estonia 3 1 1 0 0 0 5 4 4 2 3 3 Estonie
Finland Finland 1 1 1 0 0 0 5 5 5 4 4 4 Finlande
Germany Germany 39 42 42 2 2 2 74 75 75 37 35 35 Allemagne
Luxembourg Luxembourg 12 2 2 0 0 0 12 2 2 0 0 0 Luxembourg
Malta Malta 1 1 1 0 0 0 1 1 1 0 0 0 Malte
Netherlands Netherlands 143 141 141 8 8 8 159 154 153 23 21 20 Pays-Bas
Poland Poland 14 15 16 0 1 1 17 17 18 3 3 3 Pologne
Portugal Portugal 2 30 28 12 10 13 32 40 30 43 20 15 Portugal
Serbia Serbia 1 1 1 1 1 1 0 0 0 0 0 0 Serbie
Slovenia Slovenia 2 3 3 0 0 0 3 3 3 0 0 0 Slovénie
Sweden Sweden -0 1 1 0 0 0 1 1 1 1 0 0 Suède
Switzerland Switzerland 9 9 9 3 3 3 6 6 6 0 0 0 Suisse
UK United Kingdom 76 80 80 0 0 0 79 80 80 3 0 0 Royaume-Uni
Total Europe 316 341 339 26 25 28 412 406 396 122 90 84 Total Europe
Canada Canada 6 16 9 0 0 0 16 29 26 11 14 17 Canada
United States United States 186 230 208 0 0 0 226 267 246 39 36 38 Etats-Unis
Total North America 192 246 217 0 0 0 242 296 273 50 50 55 Total Amérique du Nord

Table 3

6.1x
TABLE 3
VENEER SHEETS FEUILLES DE PLACAGE
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 59 56 56 8 7 7 70 65 65 18 16 16 Autriche
Bulgaria Bulgaria 31 ... ... 18 ... ... 24 ... ... 10 ... ... Bulgarie
Cyprus Cyprus 1 1 1 0 0 0 1 1 1 0 0 0 Chypre
Czech Republic Czech Republic 11 20 21 30 32 33 41 50 54 60 62 66 République tchèque
Estonia Estonia 103 140 140 110 140 140 85 86 90 92 86 90 Estonie
Finland Finland 8 8 7 170 184 178 9 9 9 171 185 180 Finlande
Germany Germany 167 165 160 116 115 110 111 110 110 59 60 60 Allemagne
Latvia Latvia 155 85 55 42 45 45 154 110 50 41 70 40 Lettonie
Luxembourg Luxembourg 1 0 0 0 0 0 1 0 0 0 0 0 Luxembourg
Malta Malta 1 1 2 0 0 0 1 1 2 0 0 0 Malte
Netherlands Netherlands 34 34 34 0 0 0 41 41 41 7 7 7 Pays-Bas
Poland Poland 146 145 150 46 42 44 121 125 130 21 22 24 Pologne
Portugal Portugal -71 12 3 21 22 23 37 30 30 130 40 50 Portugal
Serbia Serbia 19 18 23 27 22 25 13 14 15 21 18 17 Serbie
Slovakia Slovakia 16 25 25 29 30 30 21 20 20 34 25 25 Slovaquie
Slovenia Slovenia 8 4 5 23 24 21 14 14 14 29 34 30 Slovénie
Sweden Sweden 30 25 20 60 55 50 17 20 15 47 50 45 Suède
Switzerland Switzerland 3 3 3 0 0 0 4 4 4 1 1 1 Suisse
UK United Kingdom 14 10 10 0 0 0 14 10 10 0 0 0 Royaume-Uni
Total Europe 737 752 715 700 718 706 779 710 660 742 676 651 Total Europe
Canada Canada 144 181 173 581 565 565 183 222 230 620 607 622 Canada
United States United States 2,675 2,784 2,730 2,284 2,284 2,284 671 759 715 281 258 269 Etats-Unis
Total North America 2,819 2,965 2,903 2,866 2,849 2,849 854 981 945 901 865 891 Total Amérique du Nord
Note: Definition of veneers now includes all production (including converted directly to plywood). However most replies here continue to exclude the part going to plywood.
La définition des placages comprend maintenant toute la production (y compris la conversion directe en contreplaqué).
Cependant, la plupart des réponses continuent d'exclure la partie destinée au contreplaqué.

Table 4

6.2x
TABLE 4
PLYWOOD CONTREPLAQUES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 94 85 80 184 180 170 267 205 200 357 300 290 Autriche
Bulgaria Bulgaria 65 ... ... 37 ... ... 66 ... ... 38 ... ... Bulgarie
Cyprus Cyprus 13 15 14 0 0 0 13 15 14 0 0 0 Chypre
Czech Republic Czech Republic 201 199 201 260 262 263 186 188 187 245 251 249 République tchèque
Estonia Estonia 102 100 100 190 180 180 118 110 110 206 190 190 Estonie
Finland Finland 296 280 285 1,130 1,120 1,120 121 110 100 955 950 935 Finlande
Germany Germany 1,185 1,170 1,170 103 100 100 1,464 1,450 1,450 382 380 380 Allemagne
Latvia Latvia 68 30 30 310 300 250 98 60 30 340 330 250 Lettonie
Luxembourg Luxembourg 11 2 2 0 0 0 12 2 2 1 0 0 Luxembourg
Malta Malta 10 11 11 0 0 0 10 11 11 0 0 0 Malte
Netherlands Netherlands 600 580 565 0 0 0 695 670 650 95 90 85 Pays-Bas
Poland Poland 773 770 790 543 540 550 604 620 650 374 390 410 Pologne
Portugal Portugal 215 215 200 126 110 100 116 130 120 27 25 20 Portugal
Serbia Serbia 41 43 48 15 14 17 30 32 34 4 3 3 Serbie
Slovakia Slovakia 232 320 345 307 375 400 65 70 70 140 125 125 Slovaquie
Slovenia Slovenia 79 66 68 102 96 98 57 50 50 80 80 80 Slovénie
Sweden Sweden 260 245 245 101 90 90 206 200 200 47 45 45 Suède
Switzerland Switzerland 209 214 220 7 7 8 205 210 215 3 3 3 Suisse
UK United Kingdom 1,486 1,490 1,490 0 0 0 1,541 1,540 1,540 55 50 50 Royaume-Uni
Total Europe 5,940 5,835 5,864 3,415 3,374 3,346 5,874 5,673 5,633 3,349 3,212 3,115 Total Europe
Canada Canada 2,485 2,288 2,490 1,698 1,644 1,639 1,421 1,144 1,406 634 500 555 Canada
United States United States 17,031 17,295 17,163 9,705 9,895 9,800 8,086 8,163 8,124 759 762 761 Etats-Unis
Total North America 19,516 19,583 19,653 11,403 11,539 11,439 9,507 9,306 9,530 1,393 1,263 1,316 Total Amérique du Nord

Table 5

6.3xPB
TABLE 5
PARTICLE BOARD (excluding OSB) PANNEAUX DE PARTICULES (ne comprennent pas l'OSB)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 868 776 766 2,550 2,350 2,300 361 370 360 2,043 1,944 1,894 Autriche
Bulgaria Bulgaria 487 ... ... 773 ... ... 118 ... ... 403 ... ... Bulgarie
Cyprus Cyprus 47 42 41 0 0 0 47 42 41 0 0 0 Chypre
Czech Republic Czech Republic 739 688 671 965 945 930 578 598 577 804 855 836 République tchèque
Estonia Estonia 182 155 155 210 130 130 76 85 85 103 60 60 Estonie
Finland Finland 107 119 119 54 50 50 83 93 93 30 24 24 Finlande
Germany Germany 6,015 5,970 5,870 6,036 6,020 5,920 2,142 2,100 2,050 2,162 2,150 2,100 Allemagne
Latvia Latvia 139 120 180 350 300 300 53 70 80 264 250 200 Lettonie
Luxembourg Luxembourg 15 3 3 0 0 0 16 4 4 2 1 1 Luxembourg
Malta Malta 10 10 11 0 0 0 10 10 11 0 0 0 Malte
Netherlands Netherlands 446 430 430 0 0 0 520 500 500 74 70 70 Pays-Bas
Poland Poland 7,601 7,700 7,740 6,333 6,370 6,370 2,093 2,150 2,220 824 820 850 Pologne
Portugal Portugal 451 527 427 743 730 720 313 295 304 605 498 597 Portugal
Serbia Serbia 420 417 422 272 230 235 208 235 240 60 48 53 Serbie
Slovakia Slovakia 182 220 215 608 625 625 143 140 135 568 545 545 Slovaquie
Slovenia Slovenia 155 155 147 0 0 0 162 163 154 6 8 7 Slovénie
Sweden Sweden 971 985 975 561 550 550 506 520 510 97 85 85 Suède
Switzerland Switzerland 280 300 320 380 390 400 125 130 135 225 220 215 Suisse
UK United Kingdom 2,664 2,242 2,242 2,090 1,722 1,722 638 600 600 65 80 80 Royaume-Uni
Total Europe 21,780 20,859 20,734 21,926 20,412 20,252 8,189 8,105 8,099 8,336 7,658 7,617 Total Europe
Canada Canada 1,487 1,594 1,591 1,647 1,724 1,686 593 594 586 754 724 681 Canada
United States United States 5,111 7,189 5,725 4,136 4,220 3,874 1,462 3,144 2,159 488 175 309 Etats-Unis
Total North America 6,597 8,783 7,316 5,783 5,944 5,560 2,056 3,738 2,745 1,241 899 989 Total Amérique du Nord
Data are calculated by subtracting OSB from the particleboard/OSB total - les données sont calculées en soustrayant les OSB du total des panneaux de particules et OSB.

Table 5a

6.3.1
TABLE 5a
ORIENTED STRAND BOARD (OSB) PANNEAUX STRUCTURAUX ORIENTES (OSB)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 186 224 214 0 0 0 192 230 220 6 6 6 Autriche
Bulgaria Bulgaria 175 ... ... 252 ... ... 8 ... ... 85 ... ... Bulgarie
Cyprus Cyprus 15 18 17 0 0 0 15 18 17 0 0 0 Chypre
Czech Republic Czech Republic 355 360 366 745 770 795 127 132 135 517 542 564 République tchèque
Estonia Estonia 44 45 45 0 0 0 44 45 45 1 0 0 Estonie
Finland Finland 47 47 47 0 0 0 47 47 47 0 0 0 Finlande
Germany Germany 1,473 1,480 1,480 1,282 1,280 1,280 746 750 750 555 550 550 Allemagne
Latvia Latvia 211 160 100 700 600 600 73 60 50 562 500 550 Lettonie
Luxembourg Luxembourg 117 265 265 338 338 338 7 1 1 229 74 74 Luxembourg
Netherlands Netherlands 192 185 185 0 0 0 208 200 200 16 15 15 Pays-Bas
Poland Poland 802 800 860 827 830 880 316 350 380 341 380 400 Pologne
Portugal Portugal 31 33 33 0 0 0 34 35 36 3 2 3 Portugal
Serbia Serbia 44 53 58 0 0 0 46 55 60 2 2 2 Serbie
Slovakia Slovakia 91 90 95 0 0 0 94 95 100 3 5 5 Slovaquie
Slovenia Slovenia 33 35 34 0 0 0 36 37 36 2 2 2 Slovénie
Sweden Sweden 116 95 95 0 0 0 121 100 100 5 5 5 Suède
Switzerland Switzerland 90 90 90 0 0 0 90 90 90 0 0 0 Suisse
UK United Kingdom 925 868 868 598 598 598 461 440 440 133 170 170 Royaume-Uni
Total Europe 4,948 4,848 4,852 4,741 4,416 4,491 2,665 2,685 2,707 2,459 2,253 2,346 Total Europe
Canada Canada 1,618 1,589 1,570 7,240 7,581 7,646 124 72 72 5,746 6,064 6,147 Canada
United States United States 19,804 20,091 20,381 13,839 14,040 14,243 6,147 6,236 6,326 182 185 188 Etats-Unis
Total North America 21,422 21,680 21,951 21,079 21,621 21,889 6,271 6,308 6,398 5,928 6,249 6,335 Total Amérique du Nord

Table 6

TABLE 6
FIBREBOARD PANNEAUX DE FIBRES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 504 469 445 690 570 545 370 340 330 556 441 430 Autriche
Bulgaria Bulgaria 106 ... ... 75 ... ... 118 ... ... 87 ... ... Bulgarie
Cyprus Cyprus 15 16 15 0 0 0 15 16 15 0 0 0 Chypre
Czech Republic Czech Republic 462 470 481 45 46 47 574 590 609 157 166 175 République tchèque
Estonia Estonia 74 68 68 80 70 70 77 69 69 83 71 71 Estonie
Finland Finland 162 165 165 46 46 46 164 161 161 48 41 41 Finlande
Germany Germany 4,401 4,425 4,335 6,105 6,100 6,000 1,944 1,940 1,865 3,648 3,615 3,530 Allemagne
Latvia Latvia 19 11 6 37 35 20 69 57 47 87 81 61 Lettonie
Luxembourg Luxembourg 13 128 128 147 147 147 19 5 5 153 24 24 Luxembourg
Malta Malta ... ... ... ... ... ... ... ... ... ... ... ... Malte
Netherlands Netherlands 454 436 436 29 29 29 572 550 550 147 143 143 Pays-Bas
Poland Poland 4,398 4,650 4,770 5,750 5,850 6,050 912 970 990 2,264 2,170 2,270 Pologne
Portugal Portugal 488 510 500 555 550 540 336 335 340 404 375 380 Portugal
Serbia Serbia 123 151 163 21 18 20 143 168 181 41 35 38 Serbie
Slovakia Slovakia 248 239 239 0 0 0 275 265 265 27 26 26 Slovaquie
Slovenia Slovenia 26 30 30 136 135 135 57 55 55 167 160 160 Slovénie
Sweden Sweden 308 317 293 0 0 0 391 395 365 84 78 72 Suède
Switzerland Switzerland 292 302 312 205 210 215 266 266 266 179 174 169 Suisse
UK United Kingdom 1,807 1,780 1,710 798 900 850 1,080 950 930 72 70 70 Royaume-Uni
Total Europe 13,901 14,168 14,097 14,719 14,706 14,714 7,385 7,132 7,043 8,203 7,670 7,660 Total Europe
Canada Canada 1,492 1,348 1,355 1,349 1,395 1,395 1,009 889 885 866 936 924 Canada
United States United States 9,727 10,134 9,985 7,560 7,691 7,663 3,008 3,190 3,123 841 747 801 Etats-Unis
Total North America 11,219 11,482 11,340 8,909 9,086 9,058 4,017 4,079 4,007 1,707 1,683 1,725 Total Amérique du Nord

Table 6a

6.4.1
TABLE 6a
HARDBOARD PANNEAUX DURS
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 32 36 34 75 48 45 17 20 19 60 32 30 Autriche
Bulgaria Bulgaria 45 ... ... 51 ... ... 40 ... ... 46 ... ... Bulgarie
Cyprus Cyprus 1 1 1 0 0 0 1 1 1 0 0 0 Chypre
Czech Republic Czech Republic 146 146 147 0 0 0 167 168 170 21 22 23 République tchèque
Estonia Estonia 27 24 24 0 0 0 34 30 30 7 6 6 Estonie
Finland Finland 26 30 30 46 46 46 21 20 20 41 36 36 Finlande
Germany Germany 213 210 210 0 0 0 242 240 240 29 30 30 Allemagne
Latvia Latvia 11 10 5 0 0 0 23 20 15 12 10 10 Lettonie
Luxembourg Luxembourg -71 -9 -9 0 0 0 2 1 1 73 10 10 Luxembourg
Netherlands Netherlands 44 35 35 0 0 0 66 55 55 22 20 20 Pays-Bas
Poland Poland -212 10 10 76 100 100 139 180 180 427 270 270 Pologne
Portugal Portugal 44 20 30 12 0 0 42 30 40 10 10 10 Portugal
Serbia Serbia 33 38 41 21 18 20 31 35 37 19 15 16 Serbie
Slovakia Slovakia 17 20 20 0 0 0 22 25 25 5 5 5 Slovaquie
Slovenia Slovenia 1 0 0 0 0 0 8 6 6 7 6 6 Slovénie
Sweden Sweden 75 87 78 0 0 0 88 100 90 14 13 12 Suède
Switzerland Switzerland 13 13 13 0 0 0 21 21 21 8 8 8 Suisse
UK United Kingdom 101 100 100 0 0 0 111 110 110 11 10 10 Royaume-Uni
Total Europe 544 771 769 281 212 211 1,075 1,062 1,060 812 503 502 Total Europe
Canada Canada 46 42 36 90 90 90 68 60 66 112 108 120 Canada
United States United States 503 509 514 499 504 509 252 255 258 248 250 253 Etats-Unis
Total North America 549 551 550 589 594 599 320 315 324 360 358 373 Total Amérique du Nord

Table 6b

6.4.2
TABLE 6b
MDF/HDF
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 316 283 265 615 522 500 192 166 161 491 405 396 Autriche
Bulgaria Bulgaria 58 ... ... 24 ... ... 75 ... ... 41 ... ... Bulgarie
Cyprus Cyprus 13 13 12 0 0 0 13 13 12 0 0 0 Chypre
Czech Republic Czech Republic 248 249 251 45 46 47 243 250 258 40 47 54 République tchèque
Estonia Estonia 21 20 20 0 0 0 38 35 35 17 15 15 Estonie
Finland Finland 117 116 116 0 0 0 124 121 121 7 5 5 Finlande
Germany Germany 2,385 2,425 2,400 4,693 4,700 4,650 625 625 600 2,932 2,900 2,850 Allemagne
Latvia Latvia 1 0 0 37 35 20 28 25 20 64 60 40 Lettonie
Luxembourg Luxembourg 80 136 136 147 147 147 13 3 3 80 14 14 Luxembourg
Malta Malta 5 5 5 0 0 0 5 5 5 0 0 0 Malte
Netherlands Netherlands 291 285 285 0 0 0 408 400 400 117 115 115 Pays-Bas
Poland Poland 3,533 3,560 3,630 3,542 3,600 3,700 743 760 780 752 800 850 Pologne
Portugal Portugal 456 485 465 535 550 540 280 285 280 359 350 355 Portugal
Serbia Serbia 88 110 118 0 0 0 110 130 140 22 20 22 Serbie
Slovakia Slovakia 162 150 150 0 0 0 183 170 170 22 20 20 Slovaquie
Slovenia Slovenia 20 29 29 136 135 135 39 43 43 155 149 149 Slovénie
Sweden Sweden 213 210 200 0 0 0 272 265 250 59 55 50 Suède
Switzerland Switzerland 105 110 115 205 210 215 70 65 60 170 165 160 Suisse
UK United Kingdom 1,622 1,600 1,530 798 900 850 878 750 730 54 50 50 Royaume-Uni
Total Europe 9,734 9,786 9,727 10,776 10,845 10,804 4,341 4,111 4,068 5,383 5,170 5,145 Total Europe
Canada Canada 1,301 1,135 1,153 1,159 1,205 1,205 780 648 639 637 718 691 Canada
United States United States 6,012 6,042 6,073 3,882 3,901 3,921 2,552 2,565 2,578 422 424 426 Etats-Unis
Total North America 7,313 7,177 7,226 5,041 5,106 5,126 3,332 3,213 3,217 1,059 1,142 1,117 Total Amérique du Nord

Table 6c

6.4.3
TABLE 6c
OTHER FIBREBOARD AUTRES PANNEAUX DE FIBRES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 157 150 146 0 0 0 162 154 150 5 4 4 Autriche
Bulgaria Bulgaria 3 ... ... 0 ... ... 3 ... ... 0 ... ... Bulgarie
Cyprus Cyprus 1 2 2 0 0 0 1 2 2 0 0 0 Chypre
Czech Republic Czech Republic 68 75 83 0 0 0 164 172 181 96 97 98 République tchèque
Estonia Estonia 26 24 24 80 70 70 5 4 4 59 50 50 Estonie
Finland Finland 19 19 19 0 0 0 20 20 20 0 0 0 Finlande
Germany Germany 1,803 1,790 1,725 1,412 1,400 1,350 1,078 1,075 1,025 686 685 650 Allemagne
Latvia Latvia 7 1 1 0 0 0 18 12 12 11 11 11 Lettonie
Luxembourg Luxembourg 4 1 1 0 0 0 4 1 1 0 0 0 Luxembourg
Malta Malta 1 1 2 0 0 0 1 1 2 0 0 0 Malte
Netherlands Netherlands 119 116 116 29 29 29 98 95 95 8 8 8 Pays-Bas
Poland Poland 1,077 1,080 1,130 2,132 2,150 2,250 30 30 30 1,085 1,100 1,150 Pologne
Portugal Portugal -12 5 5 8 0 0 15 20 20 35 15 15 Portugal
Serbia Serbia 2 3 4 0 0 0 2 3 4 0 0 0 Serbie
Slovakia Slovakia 70 69 69 0 0 0 70 70 70 0 1 1 Slovaquie
Slovenia Slovenia 5 1 1 0 0 0 10 6 6 5 5 5 Slovénie
Sweden Sweden 20 20 15 0 0 0 31 30 25 11 10 10 Suède
Switzerland Switzerland 174 179 184 0 0 0 175 180 185 1 1 1 Suisse
UK United Kingdom 84 80 80 0 0 0 91 90 90 7 10 10 Royaume-Uni
Total Europe 3,628 3,616 3,607 3,661 3,649 3,699 1,976 1,965 1,922 2,009 1,997 2,013 Total Europe
Canada Canada 144 171 166 100 100 100 162 181 180 117 110 114 Canada
United States United States 3,212 3,583 3,398 3,179 3,286 3,233 204 370 287 171 73 122 Etats-Unis
Total North America 3,357 3,754 3,564 3,279 3,386 3,333 366 551 467 288 183 236 Total Amérique du Nord

Table 7

7.x
TABLE 7
WOOD PULP PATE DE BOIS
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 mt
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 2,261 2,229 2,235 2,004 1,970 1,980 578 577 577 321 318 322 Autriche
Bulgaria Bulgaria 125 ... ... 210 ... ... 7 ... ... 92 ... ... Bulgarie
Czech Republic Czech Republic 803 806 806 614 640 660 310 300 289 121 134 143 République tchèque
Estonia Estonia 84 140 140 260 200 200 49 50 50 225 110 110 Estonie
Finland Finland a 6,625 5,760 6,280 10,950 9,360 10,520 150 220 220 4,475 3,820 4,460 Finlande a
Germany Germany 5,622 5,685 5,715 2,327 2,390 2,420 4,451 4,400 4,400 1,156 1,105 1,105 Allemagne
Latvia Latvia 2 6 2 14 10 10 2 2 2 14 6 10 Lettonie
Netherlands Netherlands 929 987 987 37 37 37 2,167 2,150 2,150 1,274 1,200 1,200 Pays-Bas
Poland Poland 2,767 2,750 2,790 1,749 1,720 1,750 1,194 1,220 1,250 177 190 210 Pologne
Portugal Portugal 1,660 1,640 1,645 2,809 2,750 2,800 141 140 145 1,290 1,250 1,300 Portugal
Serbia Serbia 75 76 79 0 0 0 76 77 80 1 1 1 Serbie
Slovakia Slovakia 680 685 695 769 775 800 160 160 170 248 250 275 Slovaquie
Slovenia Slovenia 331 309 309 86 82 82 250 230 230 5 3 3 Slovénie
Sweden Sweden 8,146 8,250 8,400 11,701 11,950 12,150 602 600 600 4,157 4,300 4,350 Suède
Switzerland Switzerland 160 160 160 70 70 70 90 90 90 0 0 0 Suisse
UK United Kingdom 984 990 ... 220 220 ... 766 780 790 2 10 10 Royaume-Uni
Total Europe 31,255 30,473 30,243 33,820 32,174 33,479 10,993 10,996 11,043 13,558 12,697 13,499 Total Europe
Canada Canada 7,265 6,097 6,156 14,886 13,861 13,468 1,095 950 1,185 8,717 8,714 8,497 Canada
United States United States 48,100 48,274 48,187 49,685 49,859 49,772 6,036 6,036 6,036 7,621 7,621 7,621 Etats-Unis
Total North America 55,365 54,372 54,344 64,571 63,720 63,240 7,131 6,986 7,221 16,337 16,335 16,118 Total Amérique du Nord
a imports exclude dissolving pulp a les importations excluent pâte à dissoudre

Table 8

10.x
TABLE 8
PAPER AND PAPERBOARD PAPIERS ET CARTONS
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 mt
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 2,334 2,340 2,315 5,065 5,100 5,080 1,296 1,310 1,300 4,028 4,070 4,065 Autriche
Bulgaria Bulgaria 573 ... ... 394 ... ... 358 ... ... 180 ... ... Bulgarie
Cyprus Cyprus 44 48 46 0 0 0 44 48 46 0 0 0 Chypre
Czech Republic Czech Republic 1,618 1,602 1,604 901 906 909 1,623 1,604 1,600 906 908 905 République tchèque
Estonia Estonia 126 150 150 70 90 90 138 130 130 83 70 70 Estonie
Finland Finland 636 590 620 8,660 7,450 8,150 361 350 350 8,385 7,210 7,880 Finlande
Germany Germany 18,980 18,500 18,400 23,123 22,800 22,700 10,009 9,800 9,800 14,152 14,100 14,100 Allemagne
Latvia Latvia 174 182 182 28 30 30 186 200 200 40 48 48 Lettonie
Luxembourg Luxembourg 31 8 8 0 0 0 38 8 8 7 0 0 Luxembourg
Malta Malta 26 27 27 0 0 0 26 27 27 0 0 0 Malte
Netherlands Netherlands 2,869 2,890 2,890 2,942 2,950 2,950 2,268 2,260 2,260 2,341 2,320 2,320 Pays-Bas
Poland Poland 8,002 8,100 8,150 5,324 5,450 5,550 5,233 5,300 5,400 2,556 2,650 2,800 Pologne
Portugal Portugal 1,245 1,250 1,290 2,247 2,200 2,240 928 850 900 1,931 1,800 1,850 Portugal
Serbia Serbia 760 780 785 535 520 525 462 470 480 237 210 220 Serbie
Slovakia Slovakia 554 600 600 1,019 975 1,000 474 450 475 939 825 875 Slovaquie
Slovenia Slovenia 491 435 440 635 605 590 435 420 420 579 590 570 Slovénie
Sweden Sweden 704 950 950 8,924 8,700 8,850 897 750 750 9,117 8,500 8,650 Suède
Switzerland Switzerland 1,050 1,055 1,060 1,170 1,175 1,180 610 600 590 730 720 710 Suisse
UK United Kingdom 7,482 7,430 7,450 3,640 3,530 3,650 4,589 4,660 4,550 747 760 750 Royaume-Uni
Total Europe 47,697 46,937 46,967 64,677 62,481 63,494 29,977 29,237 29,286 46,957 44,781 45,813 Total Europe
Canada Canada 4,940 4,796 4,930 8,787 8,436 8,436 2,424 2,567 2,538 6,272 6,207 6,045 Canada
United States United States 65,622 68,268 66,945 67,476 70,196 68,836 8,223 8,555 8,389 10,077 10,483 10,280 Etats-Unis
Total North America 70,561 73,064 71,874 76,263 78,632 77,272 10,647 11,122 10,927 16,348 16,690 16,325 Total Amérique du Nord

Table 9

TABLE 9
REMOVALS OF WOOD IN THE ROUGH QUANTITES ENLEVEES DE BOIS BRUT
TOTAL TOTAL
1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
Country Industrial wood - Bois industriels Wood fuel c Bois de chauffage c Pays
Total Logs Pulpwood a Other b Total
Grumes Bois de trituration a Autre b
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 13,521 13,873 13,650 10,420 10,607 10,300 3,101 3,266 3,350 0 0 0 4,900 5,263 5,400 18,420 19,136 19,050 Autriche
Bulgaria Bulgaria 3,172 ... ... 1,524 ... ... 1,606 ... ... 42 ... ... 2,357 ... ... 5,529 ... ... Bulgarie
Cyprus Cyprus ... ... ... ... ... ... ... ... ... 0 0 0 7 7 8 ... ... ... Chypre
Czech Republic Czech Republic 25,146 21,122 20,576 17,739 15,858 14,572 7,294 5,149 5,887 113 115 117 5,110 4,933 4,536 30,256 26,055 25,112 République tchèque
Estonia Estonia 6,520 6,317 6,317 4,145 4,060 4,060 2,323 2,200 2,200 52 57 57 4,148 4,100 4,100 10,667 10,417 10,417 Estonie
Finland Finland 58,036 55,847 58,540 26,292 24,618 24,713 31,744 31,229 33,827 0 0 0 8,868 8,868 8,868 66,904 64,715 67,408 Finlande
Germany Germany 59,187 57,179 54,270 47,403 44,256 42,085 11,624 12,765 12,027 161 158 158 23,224 23,900 24,100 82,411 81,079 78,370 Allemagne
Latvia Latvia 13,003 12,650 12,550 7,827 7,400 7,300 3,986 4,100 4,100 1,190 1,150 1,150 2,940 3,150 3,200 15,943 15,800 15,750 Lettonie
Luxembourg Luxembourg 217 332 197 39 86 144 84 160 38 94 86 15 46 73 45 262 405 242 Luxembourg
Netherlands Netherlands 648 653 653 210 214 214 394 395 395 43 44 44 2,362 2,350 2,350 3,010 3,003 3,003 Pays-Bas
Poland Poland 38,587 40,300 41,530 18,508 19,300 19,950 19,471 20,410 21,000 608 590 580 4,519 4,450 4,350 43,106 44,750 45,880 Pologne
Portugal Portugal 12,136 12,240 12,155 2,147 2,190 2,220 9,659 9,700 9,600 331 350 335 1,762 1,830 1,780 13,899 14,070 13,935 Portugal
Serbia Serbia 1,646 1,586 1,630 1,176 1,166 1,185 307 280 295 163 140 150 6,251 6,950 7,010 7,897 8,536 8,640 Serbie
Slovakia Slovakia 7,170 7,475 7,590 4,243 4,335 4,400 2,893 3,100 3,150 34 40 40 495 550 610 7,665 8,025 8,200 Slovaquie
Slovenia Slovenia 2,673 3,078 2,995 1,977 2,210 2,130 648 825 825 48 43 40 1,043 1,200 1,260 3,716 4,278 4,255 Slovénie
Sweden Sweden 71,400 71,400 70,400 39,300 37,800 36,000 31,800 33,300 34,100 300 300 300 5,400 5,400 5,400 76,800 76,800 75,800 Suède
Switzerland Switzerland 3,003 3,088 3,163 2,450 2,550 2,610 550 535 550 3 3 3 1,980 2,030 2,100 4,983 5,118 5,263 Suisse
UK United Kingdom 8,716 7,660 8,410 6,354 5,360 6,060 1,898 1,900 1,900 463 400 450 2,184 2,180 2,180 10,899 9,840 10,590 Royaume-Uni
Total Europe 324,781 314,800 314,626 191,753 182,010 177,943 129,382 129,314 133,244 3,646 3,476 3,439 77,596 77,234 77,297 402,369 392,027 391,915 Total Europe
Canada Canada 138,131 135,303 135,303 120,741 117,995 117,995 15,239 15,040 15,040 2,152 2,268 2,268 1,472 1,567 1,567 139,603 136,869 136,869 Canada
United States United States 382,956 386,045 384,500 183,473 184,966 184,219 185,734 187,318 186,526 13,749 13,762 13,755 71,111 71,127 71,119 454,066 457,172 455,619 Etats-Unis
Total North America 521,087 521,348 519,803 304,213 302,961 302,214 200,973 202,358 201,566 15,901 16,030 16,023 72,582 72,693 72,685 593,669 594,041 592,488 Total Amérique du Nord
a Pulpwood, round and split, as well as chips and particles produced directly a Bois de trituration, rondins et quartiers, ainse que plaquettes et particules fabriquées
therefrom and used as pulpwood directement à partir des rondins et quartiers et utilisées comme bois de trituration
b Pitprops, poles, piling, posts etc. b Bois de mine, poteaux, pilotis, piquets etc.
c Including chips and particles produced from wood in the rough and c Y compris plaquettes et particules fabriquées à partir du bois brut et utilisées
used for energy purposes à des fins energétiques

Table 9a

1.2.3.C
TABLE 9a
REMOVALS OF WOOD IN THE ROUGH QUANTITES ENLEVEES DE BOIS BRUT
SOFTWOOD CONIFERES
1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
Country Industrial wood - Bois industriels Wood fuel c Bois de chauffage c Pays
Total Logs Pulpwood a Other b Total
Grumes Bois de trituration a Autre b
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 12,671 12,947 12,700 10,139 10,315 10,000 2,531 2,632 2,700 0 0 0 2,993 3,158 3,200 15,663 16,105 15,900 Autriche
Bulgaria Bulgaria 2,228 ... ... 1,178 ... ... 1,019 ... ... 31 ... ... 608 ... ... 2,836 ... ... Bulgarie
Cyprus Cyprus ... ... ... 2 2 2 ... ... ... 0 0 0 6 6 7 ... ... ... Chypre
Czech Republic Czech Republic 24,251 20,470 19,943 17,301 15,480 14,210 6,841 4,880 5,621 109 110 112 4,463 4,365 3,965 28,714 24,835 23,908 République tchèque
Estonia Estonia 4,447 4,330 4,330 3,268 3,200 3,200 1,152 1,100 1,100 27 30 30 1,431 1,400 1,400 5,878 5,730 5,730 Estonie
Finland Finland 48,840 46,602 48,616 25,247 23,457 23,590 23,593 23,145 25,026 0 0 0 4,279 4,279 4,279 53,119 50,881 52,895 Finlande
Germany Germany 55,270 53,354 50,415 44,611 41,447 39,283 10,505 11,757 10,982 153 150 150 9,265 9,600 9,800 64,534 62,954 60,215 Allemagne
Latvia Latvia 8,661 8,350 8,250 5,975 5,600 5,500 2,036 2,100 2,100 650 650 650 315 350 400 8,976 8,700 8,650 Lettonie
Luxembourg Luxembourg 156 169 143 27 51 122 35 32 6 94 86 15 24 30 11 180 199 154 Luxembourg
Netherlands Netherlands 452 449 449 154 154 154 263 260 260 35 35 35 451 450 450 903 899 899 Pays-Bas
Poland Poland 31,131 32,500 33,350 15,698 16,370 16,900 14,861 15,570 15,900 572 560 550 2,189 2,150 2,100 33,320 34,650 35,450 Pologne
Portugal Portugal 3,352 3,440 3,455 1,851 1,900 1,970 1,370 1,400 1,350 131 140 135 445 480 450 3,797 3,920 3,905 Portugal
Serbia Serbia 319 315 335 202 210 220 76 70 75 41 35 40 129 150 160 448 465 495 Serbie
Slovakia Slovakia 3,678 3,815 3,830 2,724 2,735 2,750 928 1,050 1,050 26 30 30 223 250 285 3,901 4,065 4,115 Slovaquie
Slovenia Slovenia 1,790 1,978 1,888 1,510 1,680 1,600 262 285 275 18 13 13 106 150 160 1,896 2,128 2,048 Slovénie
Sweden Sweden 64,850 64,650 63,450 39,100 37,600 35,800 25,600 26,900 27,500 150 150 150 2,700 2,700 2,700 67,550 67,350 66,150 Suède
Switzerland Switzerland 2,602 2,652 2,712 2,224 2,300 2,350 376 350 360 2 2 2 834 880 900 3,436 3,532 3,612 Suisse
UK United Kingdom 8,608 7,550 8,300 6,298 5,300 6,000 1,895 1,900 1,900 415 350 400 1,571 1,570 1,570 10,179 9,120 9,870 Royaume-Uni
Total Europe 273,305 263,571 262,166 177,509 167,801 163,651 93,345 93,431 96,205 2,454 2,341 2,312 32,032 31,968 31,837 305,330 295,533 293,995 Total Europe
Canada Canada 113,236 110,975 110,975 108,690 106,633 106,633 4,232 3,975 3,975 314 367 367 659 724 724 113,895 111,700 111,700 Canada
United States United States 306,264 307,884 307,074 150,702 151,554 151,128 143,462 144,219 143,840 12,100 12,111 12,106 33,760 33,770 33,765 340,023 341,654 340,839 Etats-Unis
Total North America 419,499 418,859 418,049 259,392 258,187 257,761 147,694 148,194 147,816 12,414 12,478 12,472 34,419 34,495 34,489 453,918 453,354 452,538 Total Amérique du Nord
a Pulpwood, round and split, as well as chips and particles produced directly a Bois de trituration, rondins et quartiers, ainse que plaquettes et particules fabriquées
therefrom and used as pulpwood directement à partir des rondins et quartiers et utilisées comme bois de trituration
b Pitprops, poles, piling, posts etc. b Bois de mine, poteaux, pilotis, piquets etc.
c Including chips and particles produced from wood in the rough and c Y compris plaquettes et particules fabriquées à partir du bois brut et utilisées
used for energy purposes à des fins energétiques

Table 9b

1.2.3.NC
TABLE 9b
REMOVALS OF WOOD IN THE ROUGH QUANTITES ENLEVEES DE BOIS BRUT
HARDWOOD NON-CONIFERES
1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
Country Industrial wood - Bois industriels Wood fuel c Bois de chauffage c Pays
Total Logs Pulpwood a Other b Total
Grumes Bois de trituration a Autre b
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 850 926 950 280 292 300 570 634 650 0 0 0 1,907 2,105 2,200 2,757 3,031 3,150 Autriche
Bulgaria Bulgaria 944 ... ... 346 ... ... 587 ... ... 11 ... ... 1,749 ... ... 2,693 ... ... Bulgarie
Cyprus Cyprus ... ... ... ... ... ... ... ... ... 0 0 0 1 1 1 ... ... ... Chypre
Czech Republic Czech Republic 895 652 633 438 378 362 453 269 266 4 5 5 647 568 571 1,542 1,220 1,204 République tchèque
Estonia Estonia 2,073 1,987 1,987 877 860 860 1,171 1,100 1,100 25 27 27 2,717 2,700 2,700 4,789 4,687 4,687 Estonie
Finland Finland 9,196 9,245 9,924 1,045 1,161 1,123 8,151 8,084 8,801 0 0 0 4,589 4,589 4,589 13,785 13,834 14,513 Finlande
Germany Germany 3,918 3,824 3,855 2,792 2,809 2,802 1,119 1,008 1,045 8 8 8 13,959 14,300 14,300 17,877 18,124 18,155 Allemagne
Latvia Latvia 4,342 4,300 4,300 1,852 1,800 1,800 1,950 2,000 2,000 540 500 500 2,625 2,800 2,800 6,967 7,100 7,100 Lettonie
Luxembourg Luxembourg 61 163 54 12 35 22 49 128 32 0 0 0 22 43 34 83 206 89 Luxembourg
Netherlands Netherlands 196 204 204 57 60 60 131 135 135 9 9 9 1,912 1,900 1,900 2,108 2,104 2,104 Pays-Bas
Poland Poland 7,456 7,800 8,180 2,810 2,930 3,050 4,610 4,840 5,100 36 30 30 2,330 2,300 2,250 9,787 10,100 10,430 Pologne
Portugal Portugal 8,784 8,800 8,700 296 290 250 8,289 8,300 8,250 200 210 200 1,318 1,350 1,330 10,102 10,150 10,030 Portugal
Serbia Serbia 1,327 1,271 1,295 974 956 965 231 210 220 122 105 110 6,122 6,800 6,850 7,449 8,071 8,145 Serbie
Slovakia Slovakia 3,492 3,660 3,760 1,519 1,600 1,650 1,965 2,050 2,100 8 10 10 272 300 325 3,764 3,960 4,085 Slovaquie
Slovenia Slovenia 883 1,100 1,107 467 530 530 386 540 550 30 30 27 937 1,050 1,100 1,820 2,150 2,207 Slovénie
Sweden Sweden 6,550 6,750 6,950 200 200 200 6,200 6,400 6,600 150 150 150 2,700 2,700 2,700 9,250 9,450 9,650 Suède
Switzerland Switzerland 401 436 451 226 250 260 174 185 190 1 1 1 1,146 1,150 1,200 1,547 1,586 1,651 Suisse
UK United Kingdom 108 110 110 56 60 60 3 0 0 48 50 50 613 610 610 720 720 720 Royaume-Uni
Total Europe 51,476 51,228 52,460 14,247 14,211 14,294 36,038 35,883 37,039 1,191 1,135 1,127 45,564 45,266 45,460 97,039 96,493 97,919 Total Europe
Canada Canada 24,896 24,328 24,328 12,051 11,361 11,361 11,007 11,065 11,065 1,838 1,901 1,901 812 842 842 25,708 25,170 25,170 Canada
United States United States 76,692 78,161 77,427 32,771 33,412 33,091 42,272 43,099 42,685 1,649 1,651 1,650 37,351 37,356 37,354 114,043 115,517 114,780 Etats-Unis
Total North America 101,588 102,489 101,754 44,822 44,773 44,453 53,279 54,164 53,750 3,487 3,552 3,551 38,163 38,199 38,196 139,751 140,687 139,950 Total Amérique du Nord
a Pulpwood, round and split, as well as chips and particles produced directly a Bois de trituration, rondins et quartiers, ainse que plaquettes et particules fabriquées
therefrom and used as pulpwood directement à partir des rondins et quartiers et utilisées comme bois de trituration
b Pitprops, poles, piling, posts etc. b Bois de mine, poteaux, pilotis, piquets etc.
c Including chips and particles produced from wood in the rough and c Y compris plaquettes et particules fabriquées à partir du bois brut et utilisées
used for energy purposes à des fins energétiques

Table 10

1.2.1.C
TABLE 10
SOFTWOOD SAWLOGS GRUMES DE SCIAGES DES CONIFERES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption a Imports Exports
Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 17,589 16,095 16,500 10,139 10,315 10,000 8,044 6,660 7,000 594 880 500 Autriche
Bulgaria Bulgaria 1,173 ... ... 1,178 ... ... 0 ... ... 5 ... ... Bulgarie
Cyprus Cyprus 2 2 2 2 2 2 0 0 0 0 0 0 Chypre
Czech Republic Czech Republic 8,801 8,617 7,916 17,301 15,480 14,210 750 663 660 9,250 7,526 6,954 République tchèque
Estonia Estonia 3,640 3,730 3,730 3,268 3,200 3,200 455 600 600 83 70 70 Estonie
Finland Finland 25,080 23,224 23,365 25,247 23,457 23,590 165 78 86 332 311 311 Finlande
Germany Germany 39,795 39,077 38,613 44,611 41,447 39,283 3,190 3,300 3,600 8,006 5,670 4,270 Allemagne
Latvia Latvia 6,786 6,350 6,100 5,975 5,600 5,500 1,088 1,100 900 277 350 300 Lettonie
Luxembourg Luxembourg 393 90 161 27 51 122 609 164 164 243 125 125 Luxembourg
Netherlands Netherlands 176 169 169 154 154 154 87 80 80 65 65 65 Pays-Bas
Poland Poland 14,868 15,470 16,000 15,698 16,370 16,900 1,090 1,150 1,200 1,920 2,050 2,100 Pologne
Portugal Portugal 1,971 1,990 2,075 1,851 1,900 1,970 150 130 140 30 40 35 Portugal
Serbia Serbia 226 220 233 202 210 220 28 12 15 4 2 2 Serbie
Slovakia Slovakia 3,057 3,235 3,250 2,724 2,735 2,750 1,049 900 900 716 400 400 Slovaquie
Slovenia Slovenia 1,511 1,740 1,620 1,510 1,680 1,600 287 320 300 286 260 280 Slovénie
Sweden Sweden 39,240 37,680 35,880 39,100 37,600 35,800 880 1,010 1,010 740 930 930 Suède
Switzerland Switzerland 1,935 2,045 2,105 2,224 2,300 2,350 52 55 55 341 310 300 Suisse
UK United Kingdom 6,515 5,510 6,200 6,298 5,300 6,000 359 360 360 142 150 160 Royaume-Uni
Total Europe 172,758 165,244 163,919 177,509 167,801 163,651 18,283 16,582 17,070 23,033 19,139 16,802 Total Europe
Canada Canada 104,025 102,730 102,894 108,690 106,633 106,633 2,221 1,489 1,245 6,887 5,392 4,984 Canada
United States United States 142,644 143,443 143,043 150,702 151,554 151,128 278 280 279 8,336 8,391 8,364 Etats-Unis
Total North America 246,668 246,173 245,937 259,392 258,187 257,761 2,500 1,769 1,524 15,223 13,784 13,348 Total Amérique du Nord
a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce

Table 11

1.2.1.NC
TABLE 11
HARDWOOD SAWLOGS (total) GRUMES DE SCIAGES DES NON-CONIFERES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption a Imports Exports
Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023 Country Consumption Production Imports Exports Country
Austria Austria 398 362 370 280 292 300 162 140 120 45 70 50 Autriche ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
Bulgaria Bulgaria 346 ... ... 346 ... ... 0 ... ... 0 ... ... Bulgarie ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
Czech Republic Czech Republic 305 239 218 438 378 362 132 135 138 265 274 282 République tchèque ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
Estonia Estonia 901 885 885 877 860 860 48 45 45 23 20 20 Estonie ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
Finland Finland 1,218 1,193 1,123 1,045 1,161 1,123 173 32 0 0 0 0 Finlande ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
Germany Germany 2,174 2,346 2,348 2,792 2,809 2,802 110 111 120 727 574 574 Allemagne ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
Latvia Latvia 1,570 1,470 1,520 1,852 1,800 1,800 27 60 50 309 390 330 Lettonie ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
Luxembourg Luxembourg 199 139 126 12 35 22 209 111 111 22 7 7 Luxembourg ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
Netherlands Netherlands 62 70 70 57 60 60 65 70 70 59 60 60 Pays-Bas ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
Poland Poland 2,740 2,860 3,050 2,810 2,930 3,050 80 80 ... 150 150 ... Pologne ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
Portugal Portugal 406 380 350 296 290 250 140 120 130 30 30 30 Portugal ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
Serbia Serbia 954 951 955 974 956 965 30 15 20 50 20 30 Serbie ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
Slovakia Slovakia 1,658 1,700 1,750 1,519 1,600 1,650 562 500 500 423 400 400 Slovaquie ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
Slovenia Slovenia 263 242 260 467 530 530 43 42 40 248 330 310 Slovénie ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
Sweden Sweden 226 226 226 200 200 200 26 26 26 0 0 0 Suède ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
Switzerland Switzerland 104 130 150 226 250 260 27 35 40 149 155 150 Suisse ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
UK United Kingdom 67 80 80 56 60 60 15 20 20 4 0 0 Royaume-Uni ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
Total Europe 13,592 13,273 13,481 14,247 14,211 14,294 1,849 1,542 1,430 2,504 2,480 2,243 Total Europe ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
Canada Canada 13,122 12,288 12,248 12,051 11,361 11,361 1,145 1,018 969 75 92 83 Canada ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
United States United States 30,814 31,416 31,115 32,771 33,412 33,091 151 154 153 2,109 2,150 2,129 Etats-Unis ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
Total North America 43,935 43,704 43,363 44,822 44,773 44,453 1,297 1,173 1,122 2,183 2,241 2,212 Total Amérique du Nord ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce

Table 11a

TABLE 11a
HARDWOOD LOGS (temperate) GRUMES DE NON-CONIFERES (zone tempérée)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption a Imports Exports
Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 280 292 300 280 292 300 ... ... ... ... ... ... Autriche
Bulgaria Bulgaria 346 ... ... 346 ... ... ... ... ... ... ... ... Bulgarie
Czech Republic Czech Republic 303 237 216 438 378 362 130 133 136 265 274 282 République tchèque
Estonia Estonia 877 860 860 877 860 860 ... ... ... ... ... ... Estonie
Finland Finland 1,045 1,161 1,123 1,045 1,161 1,123 ... ... ... ... ... ... Finlande
Germany Germany 2,168 2,341 2,343 2,792 2,809 2,802 98 101 110 722 569 569 Allemagne
Latvia Latvia 1,852 1,800 1,800 1,852 1,800 1,800 ... ... ... ... ... ... Lettonie
Luxembourg Luxembourg 191 139 22 12 35 22 201 111 ... 22 7 ... Luxembourg
Netherlands Netherlands 53 62 62 57 60 60 50 55 55 53 53 53 Pays-Bas
Poland Poland 2,739 2,858 3,050 2,810 2,930 3,050 78 78 ... 150 150 ... Pologne
Portugal Portugal 382 355 325 296 290 250 110 90 100 24 25 25 Portugal
Serbia Serbia 953 950 954 974 956 965 29 14 19 50 20 30 Serbie
Slovakia Slovakia 1,519 1,600 1,650 1,519 1,600 1,650 ... ... ... ... ... ... Slovaquie
Slovenia Slovenia 262 241 259 467 530 530 42 41 39 248 330 310 Slovénie
Sweden Sweden 200 200 200 200 200 200 ... ... ... ... ... ... Suède
Switzerland Switzerland 226 250 260 226 250 260 ... ... ... ... ... ... Suisse
UK United Kingdom 66 80 80 56 60 60 14 20 20 4 0 0 Royaume-Uni
Total Europe 13,462 13,426 13,504 14,247 14,211 14,294 753 643 479 1,538 1,428 1,269 Total Europe
Canada Canada 12,051 11,361 11,361 12,051 11,361 11,361 ... ... ... ... ... ... Canada
United States United States 30,813 31,415 31,114 32,771 33,412 33,091 150 152 151 2,108 2,149 2,128 Etats-Unis
Total North America 42,864 42,777 42,475 44,822 44,773 44,453 150 152 151 2,108 2,149 2,128 Total Amérique du Nord
a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce

Table 11b

1.2.1.NC.T
TABLE 11b
HARDWOOD LOGS (tropical) GRUMES DE NON-CONIFERES (tropicale)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Net Trade Imports Exports
Country Commerce Net Production Imports - Importations Exports - Exportations Pays
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Czech Republic Czech Republic -2 -2 -2 2 2 2 0 0 0 République tchèque
Germany Germany -7 -5 -5 11 10 10 5 5 5 Allemagne
Luxembourg Luxembourg -8 0 ... 8 0 ... 0 0 ... Luxembourg
Netherlands Netherlands -9 -8 -8 15 15 15 6 7 7 Pays-Bas
Poland Poland -1 -2 -2 2 2 2 0 0 0 Pologne
Portugal Portugal -24 -25 -25 30 30 30 6 5 5 Portugal
Serbia Serbia -1 -1 -1 1 1 1 0 0 0 Serbie
Slovenia Slovenia -1 -1 -1 1 1 1 0 0 0 Slovénie
UK United Kingdom -1 0 0 1 0 0 0 0 0 Royaume-Uni
Total Europe -54 -44 -44 71 61 61 17 17 17 Total Europe
United States United States -1 -1 -1 2 2 2 1 1 1 Etats-Unis
Total North America -1 -1 -1 2 2 2 1 1 1 Total Amérique du Nord

Table 12

TABLE 12
PULPWOOD (total) BOIS DE TRITURATION (total)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption a Imports Exports
Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 14,154 13,876 13,900 10,568 10,416 10,450 4,953 4,650 4,500 1,367 1,190 1,050 Autriche
Bulgaria Bulgaria 1,639 ... ... 1,699 ... ... 27 ... ... 87 ... ... Bulgarie
Cyprus Cyprus ... ... ... ... ... ... ... ... ... ... ... ... Chypre
Czech Republic Czech Republic 6,155 4,306 4,709 9,027 6,877 7,621 475 469 475 3,347 3,040 3,387 République tchèque
Estonia Estonia 3,575 3,600 3,600 6,323 6,100 6,100 268 240 240 3,015 2,740 2,740 Estonie
Finland Finland 57,262 49,139 51,233 47,052 46,586 49,737 11,200 3,364 2,307 990 811 811 Finlande
Germany Germany 27,289 28,098 28,031 28,327 29,465 28,527 3,819 3,509 3,680 4,858 4,876 4,176 Allemagne
Latvia Latvia 4,879 5,025 5,180 8,296 8,600 8,800 1,417 875 780 4,834 4,450 4,400 Lettonie
Luxembourg Luxembourg 605 681 559 605 681 559 ... ... ... ... ... ... Luxembourg
Malta Malta ... ... ... ... ... ... Malte
Netherlands Netherlands 1,566 1,565 1,565 1,365 1,365 1,365 644 680 680 443 480 480 Pays-Bas
Poland Poland 31,755 32,925 31,800 29,682 30,910 31,800 3,947 3,810 ... 1,874 1,795 ... Pologne
Portugal Portugal 13,642 12,870 12,780 11,483 11,620 11,500 2,833 1,815 1,850 674 565 570 Portugal
Serbia Serbia 812 840 890 800 830 875 15 12 17 3 2 2 Serbie
Slovakia Slovakia 3,849 4,000 4,100 4,043 4,250 4,350 1,043 1,000 1,000 1,237 1,250 1,250 Slovaquie
Slovenia Slovenia 1,129 1,019 1,345 2,008 2,275 2,325 653 674 680 1,532 1,930 1,660 Slovénie
Sweden Sweden 61,355 61,618 61,918 55,300 55,800 56,100 6,858 6,774 6,774 803 956 956 Suède
Switzerland Switzerland 1,773 1,773 1,793 1,340 1,345 1,370 623 613 613 190 185 190 Suisse
UK United Kingdom 5,304 5,040 5,280 5,020 4,770 5,010 384 380 380 101 110 110 Royaume-Uni
Total Europe 236,743 226,375 228,683 222,939 221,890 226,489 39,158 28,865 23,976 25,354 24,380 21,782 Total Europe
Canada Canada 40,927 37,948 37,855 38,095 36,525 36,525 3,722 2,250 2,204 890 827 873 Canada
United States United States 240,634 243,316 241,975 246,219 249,015 247,617 264 268 266 5,849 5,966 5,908 Etats-Unis
Total North America 281,560 281,264 279,830 284,314 285,540 284,142 3,986 2,517 2,469 6,740 6,794 6,781 Total Amérique du Nord
Includes wood residues, chips and particles for all purposes Comprend les dechets de bois, plaquettes et particules pour toute utilisation
a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce

Table 12a

1.2.2.C
TABLE 12a
PULPWOOD LOGS (ROUND AND SPLIT) BOIS DE TRITURATION (RONDINS ET QUARTIERS)
Softwood Conifères
1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
Apparent Consumption a Imports Exports
Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 4,145 4,212 4,300 2,531 2,632 2,700 1,973 1,850 1,800 360 270 200 Autriche
Bulgaria Bulgaria 1,000 ... ... 1,019 ... ... 15 ... ... 34 ... ... Bulgarie
Czech Republic Czech Republic 4,111 2,444 2,838 6,841 4,880 5,621 270 263 265 3,000 2,699 3,048 République tchèque
Estonia Estonia 533 560 560 1,152 1,100 1,100 32 40 40 650 580 580 Estonie
Finland Finland 24,151 23,246 25,181 23,593 23,145 25,026 1,294 754 808 736 653 653 Finlande
Germany Germany 10,697 11,527 11,552 10,505 11,757 10,982 2,523 2,200 2,400 2,331 2,430 1,830 Allemagne
Latvia Latvia 1,714 1,850 1,750 2,036 2,100 2,100 473 400 350 795 650 700 Lettonie
Luxembourg Luxembourg 35 32 6 35 32 6 ... ... ... ... ... ... Luxembourg
Netherlands Netherlands 195 180 180 263 260 260 113 110 110 182 190 190 Pays-Bas
Poland Poland 14,706 15,470 15,900 14,861 15,570 15,900 1,174 1,200 1,250 1,329 1,300 1,250 Pologne
Portugal Portugal 1,402 1,420 1,380 1,370 1,400 1,350 75 65 70 43 45 40 Portugal
Serbia Serbia 76 70 75 76 70 75 0 0 0 0 0 0 Serbie
Slovakia Slovakia 843 900 900 928 1,050 1,050 645 600 600 730 750 750 Slovaquie
Slovenia Slovenia 288 325 315 262 285 275 264 270 270 239 230 230 Slovénie
Sweden Sweden 28,302 29,632 30,232 25,600 26,900 27,500 3,110 3,255 3,255 408 523 523 Suède
Switzerland Switzerland 306 280 290 376 350 360 20 20 20 90 90 90 Suisse
UK United Kingdom 2,085 2,080 2,080 1,895 1,900 1,900 213 210 210 23 30 30 Royaume-Uni
Total Europe 94,588 94,228 97,539 93,345 93,431 96,205 12,194 11,237 11,448 10,950 10,440 10,114 Total Europe
Canada Canada 5,139 4,236 4,204 4,232 3,975 3,975 961 297 273 54 36 45 Canada
United States United States 143,467 144,224 143,845 143,462 144,219 143,840 5 5 5 0 0 0 Etats-Unis
Total North America 148,606 148,460 148,049 147,694 148,194 147,816 966 302 278 54 36 45 Total Amérique du Nord
a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce

Table 12b

1.2.2.NC
TABLE 12b
PULPWOOD LOGS (ROUND AND SPLIT) BOIS DE TRITURATION (RONDINS ET QUARTIERS)
Hardwood Non-conifères
1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
Apparent Consumption a Imports Exports
Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 1,182 1,214 1,200 570 634 650 688 700 650 75 120 100 Autriche
Bulgaria Bulgaria 583 ... ... 587 ... ... 5 ... ... 9 ... ... Bulgarie
Czech Republic Czech Republic 365 187 190 453 269 266 2 9 8 90 91 84 République tchèque
Estonia Estonia 336 370 370 1,171 1,100 1,100 139 130 130 974 860 860 Estonie
Finland Finland 12,721 9,117 9,428 8,151 8,084 8,801 4,661 1,085 679 91 52 52 Finlande
Germany Germany 1,111 1,021 1,079 1,119 1,008 1,045 261 259 280 269 246 246 Allemagne
Latvia Latvia 432 375 480 1,950 2,000 2,000 166 175 180 1,684 1,800 1,700 Lettonie
Luxembourg Luxembourg 49 128 32 49 128 32 ... ... ... ... ... ... Luxembourg
Netherlands Netherlands 62 65 65 131 135 135 19 20 20 89 90 90 Pays-Bas
Poland Poland 5,095 5,325 5,100 4,610 4,840 5,100 560 560 ... 75 75 ... Pologne
Portugal Portugal 8,939 8,930 8,890 8,289 8,300 8,250 1,000 950 970 350 320 330 Portugal
Serbia Serbia 230 210 220 231 210 220 0 0 0 1 0 0 Serbie
Slovakia Slovakia 1,909 2,000 2,050 1,965 2,050 2,100 91 100 100 147 150 150 Slovaquie
Slovenia Slovenia 131 154 160 386 540 550 117 114 110 372 500 500 Slovénie
Sweden Sweden 8,485 8,486 8,686 6,200 6,400 6,600 2,313 2,119 2,119 28 33 33 Suède
Switzerland Switzerland 137 148 153 174 185 190 3 3 3 40 40 40 Suisse
UK United Kingdom 54 50 50 3 0 0 52 50 50 1 0 0 Royaume-Uni
Total Europe 41,820 37,780 38,153 36,038 35,883 37,039 10,077 6,274 5,299 4,294 4,377 4,185 Total Europe
Canada Canada 10,804 10,827 10,819 11,007 11,065 11,065 46 47 39 249 284 285 Canada
United States United States 42,259 43,085 42,672 42,272 43,099 42,685 42 42 42 55 56 56 Etats-Unis
Total North America 53,063 53,912 53,491 53,279 54,164 53,750 88 89 81 304 340 340 Total Amérique du Nord
a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce

Table 12c

3
TABLE 12c
WOOD RESIDUES, CHIPS AND PARTICLES DECHETS DE BOIS, PLAQUETTES ET PARTICULES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 8,827 8,450 8,400 7,467 7,150 7,100 2,292 2,100 2,050 931 800 750 Autriche
Bulgaria Bulgaria 56 ... ... 93 ... ... 7 ... ... 44 ... ... Bulgarie
Cyprus Cyprus 8 10 10 8 9 9 1 1 1 0 0 0 Chypre
Czech Republic Czech Republic 1,679 1,675 1,681 1,733 1,728 1,734 203 197 202 257 250 255 République tchèque
Estonia Estonia 2,706 2,670 2,670 4,000 3,900 3,900 96 70 70 1,390 1,300 1,300 Estonie
Finland Finland 20,390 16,776 16,624 15,308 15,357 15,910 5,245 1,525 820 163 106 106 Finlande
Germany Germany 15,481 15,550 15,400 16,703 16,700 16,500 1,036 1,050 1,000 2,258 2,200 2,100 Allemagne
Latvia Latvia 2,733 2,800 2,950 4,310 4,500 4,700 778 300 250 2,355 2,000 2,000 Lettonie
Luxembourg Luxembourg 680 517 517 521 521 521 283 17 17 124 21 21 Luxembourg
Malta Malta 2 2 3 0 0 0 2 2 3 0 0 0 Malte
Netherlands Netherlands 1,310 1,320 1,320 971 970 970 512 550 550 173 200 200 Pays-Bas
Poland Poland 11,954 12,130 12,400 10,211 10,500 10,800 2,213 2,050 2,000 469 420 400 Pologne
Portugal Portugal 3,301 2,520 2,510 1,824 1,920 1,900 1,758 800 810 281 200 200 Portugal
Serbia Serbia 506 560 595 493 550 580 15 12 17 2 2 2 Serbie
Slovakia Slovakia 1,097 1,100 1,150 1,150 1,150 1,200 307 300 300 360 350 350 Slovaquie
Slovenia Slovenia 710 540 870 1,360 1,450 1,500 272 290 300 922 1,200 930 Slovénie
Sweden Sweden 24,568 23,500 23,000 23,500 22,500 22,000 1,435 1,400 1,400 367 400 400 Suède
Switzerland Switzerland 1,330 1,345 1,350 790 810 820 600 590 590 60 55 60 Suisse
UK United Kingdom 3,164 2,910 3,150 3,122 2,870 3,110 119 120 120 77 80 80 Royaume-Uni
Total Europe 100,505 94,375 94,600 93,564 92,585 93,254 17,174 11,374 10,500 10,234 9,584 9,154 Total Europe
Canada Canada 24,984 22,884 22,832 22,856 21,485 21,485 2,716 1,906 1,891 587 507 544 Canada
United States United States 54,907 56,007 55,457 60,485 61,697 61,091 216 221 219 5,794 5,910 5,852 Etats-Unis
Total North America 79,892 78,891 78,290 83,341 83,182 82,576 2,932 2,127 2,110 6,382 6,417 6,396 Total Amérique du Nord

Table 13

4.1x
TABLE 13
WOOD PELLETS GRANULES DE BOIS
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 mt
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 1,144 1,270 1,410 1,607 1,720 2,060 413 328 400 875 778 1,050 Autriche
Bulgaria Bulgaria 202 ... ... 216 ... ... 132 ... ... 146 ... ... Bulgarie
Cyprus Cyprus 4 3 3 0 0 0 4 3 3 0 0 0 Chypre
Czech Republic Czech Republic 126 199 201 490 503 517 39 35 37 403 339 353 République tchèque
Estonia Estonia 67 70 70 1,600 1,550 1,550 26 20 20 1,559 1,500 1,500 Estonie
Finland Finland 552 479 456 365 375 380 196 110 80 9 6 4 Finlande
Germany Germany 2,932 3,200 3,400 3,353 3,600 3,800 392 450 500 813 850 900 Allemagne
Latvia Latvia 221 280 100 2,138 2,200 2,000 592 380 400 2,509 2,300 2,300 Lettonie
Luxembourg Luxembourg 49 63 63 63 63 63 13 4 4 28 4 4 Luxembourg
Malta Malta 1 1 1 0 0 0 1 1 1 0 0 0 Malte
Netherlands Netherlands 2,449 2,457 2,457 307 315 315 2,297 2,297 2,297 155 155 155 Pays-Bas
Poland Poland 1,169 1,220 1,330 1,594 1,620 1,680 269 280 300 694 680 650 Pologne
Portugal Portugal 224 270 265 731 860 800 3 10 15 510 600 550 Portugal
Serbia Serbia 497 430 485 468 420 460 84 60 80 55 50 55 Serbie
Slovakia Slovakia 19 145 195 310 325 350 46 45 45 337 225 200 Slovaquie
Slovenia Slovenia 111 112 150 149 162 170 166 120 150 204 170 170 Slovénie
Sweden Sweden 1,771 1,985 1,985 1,900 2,100 2,100 154 235 235 282 350 350 Suède
Switzerland Switzerland 350 355 360 275 285 295 75 70 65 0 0 0 Suisse
UK United Kingdom 9,430 9,450 9,450 304 320 320 9,128 9,130 9,130 2 0 0 Royaume-Uni
Total Europe 21,318 21,989 22,381 15,870 16,418 16,860 14,030 13,578 13,762 8,582 8,007 8,241 Total Europe
Canada Canada 706 761 548 3,830 4,131 4,131 29 33 35 3,153 3,402 3,618 Canada
United States United States 1,122 1,136 1,129 8,449 8,557 8,503 196 198 197 7,523 7,619 7,571 Etats-Unis
Total North America 1,828 1,898 1,677 12,279 12,688 12,634 225 231 232 10,676 11,021 11,189 Total Amérique du Nord

Table 14

3+4
TABLE 14
Europe: Summary table of market forecasts for 2022 and 2023
Europe: Tableau récapitulatif des prévisions du marché pour 2022 et 2023
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
million m3 (pulp, paper and pellets million m.t. - pâte de bois, papiers et cartons, et granulés en millions de tonnes métriques)
Apparent Consumption
Consommation Apparente Production Imports - Importations Exports - Exportations
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
actual forecasts actual forecasts actual forecasts actual forecasts
réels prévisions réels prévisions réels prévisions réels prévisions
Sawn softwood 67.77 63.34 62.12 90.27 88.25 87.84 26.30 22.94 21.87 48.80 47.85 47.59 Sciages conifères
Softwood logs a 172.76 165.24 163.92 177.51 167.80 163.65 18.28 16.58 17.07 23.03 19.14 16.80 Grumes de conifères a
Sawn hardwood 4.34 4.17 4.19 4.22 4.17 4.09 2.95 2.89 2.92 2.83 2.89 2.82 Sciages non-conifères
– temperate zone b 3.56 3.34 3.35 3.04 2.92 2.91 2.41 2.33 2.37 1.89 1.90 1.93 – zone tempérée b
– tropical zone b 0.32 0.34 0.34 0.03 0.02 0.03 0.41 0.41 0.40 0.12 0.09 0.08 – zone tropicale b
Hardwood logs a 13.59 13.27 13.48 14.25 14.21 14.29 1.85 1.54 1.43 2.50 2.48 2.24 Grumes de non-conifères a
– temperate zone b 13.46 13.43 13.50 14.25 14.21 14.29 0.75 0.64 0.48 1.54 1.43 1.27 – zone tempérée b
– tropical zone b 0.05 0.04 0.04 0.07 0.06 0.06 0.02 0.02 0.02 – zone tropicale b
Veneer sheets 0.74 0.75 0.72 0.70 0.72 0.71 0.78 0.71 0.66 0.74 0.68 0.65 Feuilles de placage
Plywood 5.94 5.84 5.86 3.41 3.37 3.35 5.87 5.67 5.63 3.35 3.21 3.12 Contreplaqués
Particle board (excluding OSB) 21.78 20.86 20.73 21.93 20.41 20.25 8.19 8.10 8.10 8.34 7.66 7.62 Pann. de particules (sauf OSB)
OSB 4.95 4.85 4.85 4.74 4.42 4.49 2.67 2.69 2.71 2.46 2.25 2.35 OSB
Fibreboard 13.90 14.17 14.10 14.72 14.71 14.71 7.39 7.13 7.04 8.20 7.67 7.66 Panneaux de fibres
– Hardboard 0.54 0.77 0.77 0.28 0.21 0.21 1.07 1.06 1.06 0.81 0.50 0.50 – Durs
– MDF 9.73 9.79 9.73 10.78 10.85 10.80 4.34 4.11 4.07 5.38 5.17 5.15 – MDF
– Other board 3.63 3.62 3.61 3.66 3.65 3.70 1.98 1.96 1.92 2.01 2.00 2.01 – Autres panneaux
Pulpwood a 236.74 226.37 228.68 222.94 221.89 226.49 39.16 28.87 23.98 25.35 24.38 21.78 Bois de trituration a
– Pulp logs 136.41 132.01 135.69 129.38 129.31 133.24 22.27 17.51 16.75 15.24 14.82 14.30 – Bois ronds de trituration
– softwood 94.59 94.23 97.54 93.34 93.43 96.20 12.19 11.24 11.45 10.95 10.44 10.11 – conifères
– hardwood 41.82 37.78 38.15 36.04 35.88 37.04 10.08 6.27 5.30 4.29 4.38 4.19 – non-conifères
– Residues, chips and particles 100.50 94.37 94.60 93.56 92.59 93.25 17.17 11.37 10.50 10.23 9.58 9.15 – Déchets, plaquettes et part.
Wood pulp 31.26 30.47 31.02 33.82 32.17 33.48 10.99 11.00 11.04 13.56 12.70 13.50 Pâte de bois
Paper and paperboard 47.70 46.94 46.97 64.68 62.48 63.49 29.98 29.24 29.29 46.96 44.78 45.81 Papiers et cartons
Wood Pellets 21.32 21.99 22.38 15.87 16.42 16.86 14.03 13.58 13.76 8.58 8.01 8.24 Granulés de bois
a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fourni des données sur le commerce
b Trade figures by zone do not equal the total as some countries cannot provide data for both zones b Les chiffres du commerce par zone ne correspondent pas aux totaux
en raison du fait que certains pays ne peuvent les différencier.

Table 15

3+4
TABLE 15
North America: Summary table of market forecasts for 2022 and 2023
Amérique du Nord: Tableau récapitulatif des prévisions du marché pour 2022 et 2023
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
million m3 (pulp, paper and pellets million m.t. - pâte de bois, papiers et cartons, et granulés en millions de tonnes métriques)
Apparent Consumption
Consommation Apparente Production Imports - Importations Exports - Exportations
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
actual forecasts actual forecasts actual forecasts actual forecasts
réels prévisions réels prévisions réels prévisions réels prévisions
Sawn softwood 108.10 107.38 113.43 119.26 116.36 115.11 27.96 27.02 27.28 39.12 36.00 28.96 Sciages conifères
Softwood logs 246.67 246.17 245.94 259.39 258.19 257.76 2.50 1.77 1.52 15.22 13.78 13.35 Grumes de conifères
Sawn hardwood 15.56 16.29 15.82 18.21 18.42 18.18 1.51 1.93 1.66 4.17 4.06 4.02 Sciages non-conifères
– temperate zone 15.36 16.05 15.61 18.21 18.42 18.18 1.27 1.64 1.38 4.11 4.01 3.96 – zone tempérée
– tropical zone 0.19 0.25 0.22 0.00 0.00 0.00 0.24 0.30 0.27 0.05 0.05 0.06 – zone tropicale
Hardwood logs 43.94 43.70 43.36 44.82 44.77 44.45 1.30 1.17 1.12 2.18 2.24 2.21 Grumes de non-conifères
– temperate zone 42.86 42.78 42.48 44.82 44.77 44.45 0.15 0.15 0.15 2.11 2.15 2.13 – zone tempérée
– tropical zone 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 – zone tropicale
Veneer sheets 2.82 2.97 2.90 2.87 2.85 2.85 0.85 0.98 0.95 0.90 0.86 0.89 Feuilles de placage
Plywood 19.52 19.58 19.65 11.40 11.54 11.44 9.51 9.31 9.53 1.39 1.26 1.32 Contreplaqués
Particle board (excluding OSB) 6.60 8.78 7.32 5.78 5.94 5.56 2.06 3.74 2.74 1.24 0.90 0.99 Pann. de particules (sauf OSB)
OSB 21.42 21.68 21.95 21.08 21.62 21.89 6.27 6.31 6.40 5.93 6.25 6.34 OSB
Fibreboard 11.22 11.48 11.34 8.91 9.09 9.06 4.02 4.08 4.01 1.71 1.68 1.73 Panneaux de fibres
– Hardboard 0.55 0.55 0.55 0.59 0.59 0.60 0.32 0.32 0.32 0.36 0.36 0.37 – Durs
– MDF 7.31 7.18 7.23 5.04 5.11 5.13 3.33 3.21 3.22 1.06 1.14 1.12 – MDF
– Other board 3.36 3.75 3.56 3.28 3.39 3.33 0.37 0.55 0.47 0.29 0.18 0.24 – Autres panneaux
Pulpwood 281.56 281.26 279.83 284.31 285.54 284.14 3.99 2.52 2.47 6.74 6.79 6.78 Bois de trituration
– Pulp logs 201.67 202.37 201.54 200.97 202.36 201.57 1.05 0.39 0.36 0.36 0.38 0.39 – Bois ronds de trituration
– softwood 148.61 148.46 148.05 147.69 148.19 147.82 0.97 0.30 0.28 0.05 0.04 0.04 – conifères
– hardwood 53.06 53.91 53.49 53.28 54.16 53.75 0.09 0.09 0.08 0.30 0.34 0.34 – non-conifères
– Residues, chips and particles 79.89 78.89 78.29 83.34 83.18 82.58 2.93 2.13 2.11 6.38 6.42 6.40 – Déchets, plaquettes et part.
Wood pulp 55.37 54.37 54.34 64.57 63.72 63.24 7.13 6.99 7.22 16.34 16.33 16.12 Pâte de bois
Paper and paperboard 70.56 73.06 71.87 76.26 78.63 77.27 10.65 11.12 10.93 16.35 16.69 16.32 Papiers et cartons
Wood pellets 1.83 1.90 1.68 12.28 12.69 12.63 0.23 0.23 0.23 10.68 11.02 11.19 Granulés de bois
printed on 16/12

Joint Forest Sector Questionnaire - 2020 - National Reply - Slovenia

Reply as received from country.

Languages and translations
English

Guidelines

Dear Correspondent, Thank you for contributing to the Joint Forest Sector Questionnaire (JFSQ). Before filling in the worksheets, please read these guidelines. Please use only this questionnaire to report your data. The 2020 JFSQ contains no pre-filling. Use this questionnaire also to revise any historical data - fill in the correct year and your name on the cover page. The worksheet 'LAM & CHIPS' covers data on Glulam and X-lam. This sheet has a yellow drop-down cell where you can choose your unit of measurement. The total number of sheets to be filled in is eight core sheets (green tabs - to be validated by Eurostat) plus three for ITTO (brown tabs - not validated by Eurostat). Four sheets containing cross-references are included at the end. The flat file is for Eurostat for validation purposes, please do not change any cells here. Put all your data into one Excel file. If you send some data in later, give your file a new version number and date (see A.1. below) and notify us of the changes with respect to the previous version. Only send us completely filled-in sheets, highlighting the changes in yellow. Do not delete worksheets. Each sheet has a working area for your input. Most sheets have checking cells and tables. Each working area has white cells and shaded cells. Eurostat has highlighted the variables it considers most important for its publications - please fill those in as a priority. When you submit a revision, please highlight changes in yellow and explain them in the appropriate 'Note' column. Please use flags and notes (see A.6 below). This information is important for Eurostat. A. General recommendations A.1 Please use eDAMIS to send your questionnaire to Eurostat. Choose the correct domain ("FOREST_A_A") and the correct reference year (for this data collection: 2020). A.2 Fill in the JFSQ quality report if you haven't done so yet. If you already sent the quality report to Eurostat before, please fill it in only if major changes had happened to its content. A.3 The cover page is for your contact details, which are automatically copied to the other worksheets • Check your country code • If necessary change the reference year [red cell] as appropriate - the previous year will appear automatically If you distribute worksheets to various experts, they can each put their contact details into the sheets. It will then be your job to put all the information together again and to verify the checking tables, since some of them will not work as designed in isolation. A.4 Look at the unit of measurement to be used for each item and report in this unit if possible, using the conversion factors on the last page of the JFSQ definitions. Please report the monetary values in the same unit for both reporting years. Only report data or modify cells in the working areas. Please do not delete checking areas or checking sheets. • Look at the checking areas and make the necessary corrections to your data to remove all warnings (see the specific recommendations) before sending in your data. Fill in real zeroes '0' in the worksheets if there is no production or trade. Empty cells will be interpreted as 'Data not available'. • There are counters at the bottom of the tables to indicate the number of cells left to be filled in and the number of cells filled with text. Report all data with at least three decimals. Do not use a separator for thousands; for the decimal point, please use the one set up by default. A.5 Report numbers only. If data are confidential, please provide them if possible, appropriately flagged (see A.6). • Eurostat has a right to all confidential data necessary for its work. It has an obligation to use such data only in aggregates and to respect all the legal obligations. • If you cannot provide confidential data, a good option is to send in your own estimate flagged as a national estimate '9'. • As a last resort, leave the cell empty, flag it and write a note indicating data sources and links. Checking tables contain formulae to sum up the totals for sub-items. A.6 Flag cells and write notes as appropriate. Flags should be entered in the 'Flag' columns and notes in the 'Note' columns for the appropriate year and item. The flags to use are: • 5 for repeating the data of a previous year • 6 for confidential data • 7 for provisional data • 9 for national estimate B Specific recommendations B.1 Sheet 'Removals over bark' is for volumes of wood products measured over bark. General over bark/under bark conversion factors are calculated automatically. • Should you use different conversion factor(s) please delete the ones provided and insert your own • If you only have under bark data, please leave this worksheet empty, but revise the table with the conversion factors. • Unchanged conversion factors will be considered revised A checking table verifies that sums of sub-items agree with the totals B.2 Checking tables on worksheets improve data quality, verifying that: • The sum of the sub-items equals the total • The sum of 'of which' items is not larger than the total All cells in a checking table should be zero or empty. If this is not the case, please check your numbers for the sub-items and totals. The checking table indicates the difference, so if you see a negative value, you will have to decide which number should be increased by that amount. The only exception is when no data are entered due to confidentiality. B.3 Worksheets 'JQ2' and 'EU1' contain a checking table for apparent consumption and for unit values. Apparent consumption = Production + Imports – Exports. It should be positive or nil. If this is not the case, the cell will change colour and indicate the difference. • Please correct the data in the sheets until checking results are positive or nil. One solution is to increase production • If the data are correct but apparent consumption is still negative, please explain why in the 'Note' column provided in the apparent consumption checking table. B.4 Sheets 'JQ2', 'ECE-EU Species' and 'EU1' on trade have checking tables to verify data consistency. Both quantity and value must be present. When something is missing, messages or coloured cells appear in the checking tables. Please correct your data until all warnings disappear. The meaning of the messages is: • 0: both value and quantity are zero – all is well, there is no trade • ZERO Q: value is reported, quantity is zero - please correct • ZERO V: quantity is reported, value is zero - please correct • REPORT: both quantity and value are blank - please fill in • NO Q: blank cell for quantity – please fill in • NO V: blank cell for value – please fill in Please enter even very small numbers to resolve problems, using as many decimal places as necessary. If there is no way to correct the problem, please write an explanation in the 'Note' column. If there is no trade for a product, please enter 0 for both quantity and value. Thank you for collecting data for the JFSQ. Eurostat's Forestry Team

JFSQ quality report

Joint Forest Sector Questionnaire Quality Report
Quality information Country reply
1 Contact
Country name Country name
Contact organisation Contact organisation
Contact name Contact name
Contact email address Contact email address
2 Changes to previous year
Necessity of update Are there any changes to the quality report of the last data collection? Please select YES or NO
If yes, please provide details below.
3 Statistical processing
Overview of the source data Please provide an overview of the sources used to produce JFSQ data.
Do you use a dedicated survey (of the industry, of households, of forest owners, etc.)? Please select YES or NO
If yes, please provide details (e.g., who are the respondents, what is its frequency?).
Do you use forestry statistics? Please select YES or NO
If yes, please provide details.
Do you use national forest inventory? Please select YES or NO
If yes, please provide details.
Do you use national PRODCOM data compiled according to the CPA classification? Please select YES or NO
If yes, please provide details (which products, units, etc.).
Do you use any other national production statistics? Please select YES or NO
If yes, please provide details.
Do you use data collected by associations of industry? Please select YES or NO
If yes, please provide details.
Do you collect data from direct contacts with manufacturing companies? Please select YES or NO
If yes, please provide details.
Do you use estimates of roundwood use (in manufacturing)? Please select YES or NO
If yes, please provide details.
Do you use national trade data? Please select YES or NO
If yes, please provide details.
Do you use felling reports? Please select YES or NO
If yes, please provide details.
Do you use forestry companies' accounting network? Please select YES or NO
If yes, please provide details.
Do you use administrative data (e.g. tax records, business registers)? Please select YES or NO
If yes, please provide details.
Do you use data from national accounts? Please select YES or NO
If yes, please provide details (e.g. for which data, from which account tables?).
Do you use SBS (Structural business statistics)? Please select YES or NO
If yes, please provide details (e.g. for which data?).
Do you use other environmental accounts? Please select YES or NO
If yes, please provide details.
Do you use other statistics (e.g. agriculture statistics)? Please select YES or NO
If yes, please specify them.
Do you use any other sources? Please select YES or NO
If yes, please specify them.
Methodological issues Are there any pending classification or measurement issues? Please select YES or NO
If yes, please specify them.
Data validation Do you check the quality of the data collected to compile JFSQ? Please select YES or NO
If yes, please explain the quality assurance procedure.
Do you compare JFSQ data with different data sources or do you perform other cross-checks? Please select YES or NO
If yes, please explain your approach.
Do you have validation rules and other plausibility checks for the outputs of your JFSQ data compilation process? Please select YES or NO
If yes, please briefly describe them.
4 Relevance
User needs Please provide references to the relevance of JFSQ at national level e.g. main users, national indicator sets, quantitative policy targets etc.
5 Coherence and comparability
Coherence - cross domain Do you compare the JFSQ results with business, energy and agricultural and foreign trade statistics? Please select YES or NO
It not, please explain.
Do you compare the JFSQ results with business, energy and agricultural and foreign trade statistics? Please select YES or NO
It not, please explain.
Do you cross-check the JFSQ data with the results of European Forest Accounts? Please select YES or NO
If yes, please indicate for which reporting items, and comments on the discrepancies observed, if any. It not, please explain.
Coherence - internal Are there any other consistency issues related to your JFSQ data? Please select YES or NO
If yes, please explain them.
6 Accessibility and clarity
Publications Do you disseminate JFSQ data nationally (e.g. in news releases or other documents)? Please select YES or NO
If yes, please provide URLs and/or the reference to the relevant publications.
Online database Do you publish your JFSQ accounts in an online data base? Please select YES or NO
If yes, please provide URLs.
Documentation on methodology Did you prepare a description of your national JFSQ methodology or metadata? Please select YES or NO
If yes, please provide URLs.
Quality documentation Do you have national quality documentation? Please select YES or NO
If yes, please provide URLs.
7 Other comments
Other comments Please provide any further feedback you might have on the quality of the reported data, sources and methods used and/or Eurostat's validation and quality report templates.

Cover

Joint Forest Sector Questionnaire
2020
DATA INPUT FILE
Correspondent country:
Reference year: 2020 Fill in the year
Name of person responsible for reply:
Official address (in full):
Telephone:
Fax:
E-mail:

Removals over bark

Country: 0 Date:
Name of Official responsible for reply: 0
Check Table
Official Address (in full):
EU JQ1 OB 0
FOREST SECTOR QUESTIONNAIRE Telephone: 0 0 Discrepancies
Removals E-mail: 0 Please verify, if there's an error!
Year 1 Year 2 Flag Flag Note Note
Product Product Unit 2019 2020 2019 2020 2019 2020 Product Product Unit 2019 2020
Code Quantity Quantity Code Quantity Quantity
ROUNDWOOD REMOVALS OVERBARK ROUNDWOOD REMOVALS OVERBARK
1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ob 1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ob OK OK
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ob 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ob OK OK
1.1.C Coniferous 1000 m3ob 1.1.C Coniferous 1000 m3ob
1.1.NC Non-Coniferous 1000 m3ob 1.1.NC Non-Coniferous 1000 m3ob
1.2 INDUSTRIAL ROUNDWOOD 1000 m3ob 1.2 INDUSTRIAL ROUNDWOOD 1000 m3ob OK OK
1.2.C Coniferous 1000 m3ob 1.2.C Coniferous 1000 m3ob OK OK
1.2.NC Non-Coniferous 1000 m3ob 1.2.NC Non-Coniferous 1000 m3ob OK OK
1.2.NC.T of which: Tropical 1000 m3ob 1.2.NC.T of which: Tropical 1000 m3ob OK OK
1.2.1 SAWLOGS AND VENEER LOGS 1000 m3ob 1.2.1 SAWLOGS AND VENEER LOGS 1000 m3ob OK OK
1.2.1.C Coniferous 1000 m3ob 1.2.1.C Coniferous 1000 m3ob
1.2.1.NC Non-Coniferous 1000 m3ob 1.2.1.NC Non-Coniferous 1000 m3ob
1.2.2 PULPWOOD, ROUND AND SPLIT 1000 m3ob 1.2.2 PULPWOOD, ROUND AND SPLIT 1000 m3ob OK OK
1.2.2.C Coniferous 1000 m3ob 1.2.2.C Coniferous 1000 m3ob
1.2.2.NC Non-Coniferous 1000 m3ob 1.2.2.NC Non-Coniferous 1000 m3ob
1.2.3 OTHER INDUSTRIAL ROUNDWOOD 1000 m3ob 1.2.3 OTHER INDUSTRIAL ROUNDWOOD 1000 m3ob OK OK
1.2.3.C Coniferous 1000 m3ob 1.2.3.C Coniferous 1000 m3ob
1.2.3.NC Non-Coniferous 1000 m3ob 1.2.3.NC Non-Coniferous 1000 m3ob
To fill: 17 17
Text: 0 0
Product Product Unit 2019 2020
Code CF CF
OVERBARK/UNDERBARK CONVERSION FACTORS
1 ROUNDWOOD (WOOD IN THE ROUGH) m3/m3 ERROR:#DIV/0! ERROR:#DIV/0!
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) m3/m3 ERROR:#DIV/0! ERROR:#DIV/0!
1.1.C Coniferous m3/m3 ERROR:#DIV/0! ERROR:#DIV/0!
1.1.NC Non-Coniferous m3/m3 ERROR:#DIV/0! ERROR:#DIV/0!
1.2 INDUSTRIAL ROUNDWOOD m3/m3 1.100 1.100
1.2.C Coniferous m3/m3 1.200 1.200
1.2.NC Non-Coniferous m3/m3 ERROR:#DIV/0! ERROR:#DIV/0!
1.2.NC.T of which: Tropical m3/m3 ERROR:#DIV/0! ERROR:#DIV/0!
1.2.1 SAWLOGS AND VENEER LOGS m3/m3 ERROR:#DIV/0! ERROR:#DIV/0!
1.2.1.C Coniferous m3/m3 ERROR:#DIV/0! ERROR:#DIV/0!
1.2.1.NC Non-Coniferous m3/m3 1.100 1.100
1.2.2 PULPWOOD, ROUND AND SPLIT m3/m3 1.200 1.200
1.2.2.C Coniferous m3/m3 ERROR:#DIV/0! ERROR:#DIV/0!
1.2.2.NC Non-Coniferous m3/m3 1.100 1.100
1.2.3 OTHER INDUSTRIAL ROUNDWOOD m3/m3 1.200 1.200
1.2.3.C Coniferous m3/m3 ERROR:#DIV/0! ERROR:#DIV/0!
1.2.3.NC Non-Coniferous m3/m3 1.100 1.100

JQ1 Production

Country: 0 Date:
Name of Official responsible for reply: 0
Official Address (in full):
FOREST SECTOR QUESTIONNAIRE JQ1 0
Industrial Roundwood Balance
PRIMARY PRODUCTS Telephone: 0 0 This table highlights discrepancies between items and sub-items. Please verify your data if there's an error! Discrepancies
Removals and Production E-mail: 0 test for good numbers, missing number, bad number, negative number
Year -1 Year Flag Flag Note Note
Product Product Unit 2019 2020 2019 2020 2019 2020 Product Product Unit 2019 2020 2019 2020 % change Conversion factors
Code Quantity Quantity Code Quantity Quantity Roundwood Industrial roundwood availability
McCusker 14/6/07: McCusker 14/6/07: minus 1.2.3 (other ind. RW) production
-1,272 -95,537 7408% m3 of wood in m3 or t of product
REMOVALS OF ROUNDWOOD (WOOD IN THE ROUGH) REMOVALS OF ROUNDWOOD (WOOD IN THE ROUGH) Recovered wood used in particle board 0 0 missing data Solid wood equivalent
1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub 1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub OK OK Solid Wood Demand agglomerate production 0 0 missing data 2.4
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub OK OK Sawnwood production Missing data Missing data missing data 1
1.1.C Coniferous 1000 m3ub 1.1.C Coniferous 1000 m3ub veneer production Missing data Missing data missing data 1
1.1.NC Non-Coniferous 1000 m3ub 1.1.NC Non-Coniferous 1000 m3ub plywood production Missing data Missing data missing data 1
1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub OK OK particle board production (incl OSB) missing data missing data missing data 1.58
1.2.C Coniferous 1000 m3ub 1.2.C Coniferous 1000 m3ub OK OK fibreboard production missing data missing data missing data 1.8
1.2.NC Non-Coniferous 1000 m3ub 1.2.NC Non-Coniferous 1000 m3ub OK OK mechanical/semi-chemical pulp production missing data missing data missing data 2.5
1.2.NC.T of which: Tropical 1000 m3ub 1.2.NC.T of which: Tropical 1000 m3ub OK OK chemical pulp production missing data missing data missing data 4.9
1.2.1 SAWLOGS AND VENEER LOGS 1000 m3ub 1.2.1 SAWLOGS AND VENEER LOGS 1000 m3ub OK OK dissolving pulp production missing data missing data missing data 5.7
1.2.1.C Coniferous 1000 m3ub 1.2.1.C Coniferous 1000 m3ub Availability Solid Wood Demand missing data missing data missing data
1.2.1.NC Non-Coniferous 1000 m3ub 1.2.1.NC Non-Coniferous 1000 m3ub Difference (roundwood-demand) missing data missing data missing data positive = surplus
1.2.2 PULPWOOD, ROUND AND SPLIT (INCLUDING WOOD FOR PARTICLE BOARD, OSB AND FIBREBOARD) 1000 m3ub 1.2.2 PULPWOOD, ROUND AND SPLIT (INCLUDING WOOD FOR PARTICLE BOARD, OSB AND FIBREBOARD) 1000 m3ub OK OK gap (demand/availability) missing data missing data Negative number means not enough roundwood available
1.2.2.C Coniferous 1000 m3ub 1.2.2.C Coniferous 1000 m3ub Positive number means more roundwood available than demanded
1.2.2.NC Non-Coniferous 1000 m3ub 1.2.2.NC Non-Coniferous 1000 m3ub
1.2.3 OTHER INDUSTRIAL ROUNDWOOD 1000 m3ub 1.2.3 OTHER INDUSTRIAL ROUNDWOOD 1000 m3ub OK OK
1.2.3.C Coniferous 1000 m3ub 1.2.3.C Coniferous 1000 m3ub % of particle board that is from recovered wood 35%
1.2.3.NC Non-Coniferous 1000 m3ub 1.2.3.NC Non-Coniferous 1000 m3ub share of agglomerates produced from industrial roundwood residues 100%
PRODUCTION PRODUCTION usable industrial roundwood - amount of roundwood that is used, remainder leaves industry 98.5%
2 WOOD CHARCOAL 1000 t 2 WOOD CHARCOAL 1000 t
3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 OK OK
3.1 WOOD CHIPS AND PARTICLES 1000 m3 3.1 WOOD CHIPS AND PARTICLES 1000 m3
3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3
4 RECOVERED POST-CONSUMER WOOD 1000 t 4 RECOVERED POST-CONSUMER WOOD 1000 t
5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t 5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t OK OK
5.1 WOOD PELLETS 1000 t 5.1 WOOD PELLETS 1000 t
5.2 OTHER AGGLOMERATES 1000 t 5.2 OTHER AGGLOMERATES 1000 t
6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 OK OK
6.C Coniferous 1000 m3 6.C Coniferous 1000 m3
6.NC Non-Coniferous 1000 m3 6.NC Non-Coniferous 1000 m3
6.NC.T of which: Tropical 1000 m3 6.NC.T of which: Tropical 1000 m3 OK OK
7 VENEER SHEETS 1000 m3 7 VENEER SHEETS 1000 m3 OK OK
7.C Coniferous 1000 m3 7.C Coniferous 1000 m3
7.NC Non-Coniferous 1000 m3 7.NC Non-Coniferous 1000 m3
7.NC.T of which: Tropical 1000 m3 7.NC.T of which: Tropical 1000 m3 OK OK
8 WOOD-BASED PANELS 1000 m3 8 WOOD-BASED PANELS 1000 m3 OK OK
8.1 PLYWOOD 1000 m3 8.1 PLYWOOD 1000 m3 OK OK
8.1.C Coniferous 1000 m3 8.1.C Coniferous 1000 m3
8.1.NC Non-Coniferous 1000 m3 8.1.NC Non-Coniferous 1000 m3
8.1.NC.T of which: Tropical 1000 m3 8.1.NC.T of which: Tropical 1000 m3 OK OK
8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD 1000 m3 8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD 1000 m3
8.2.1 of which: ORIENTED STRAND BOARD (OSB) 1000 m3 8.2.1 of which: ORIENTED STRAND BOARD (OSB) 1000 m3 OK OK
8.3 FIBREBOARD 1000 m3 8.3 FIBREBOARD 1000 m3 OK OK
8.3.1 HARDBOARD 1000 m3 8.3.1 HARDBOARD 1000 m3
8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3
8.3.3 OTHER FIBREBOARD 1000 m3 8.3.3 OTHER FIBREBOARD 1000 m3
9 WOOD PULP 1000 t 9 WOOD PULP 1000 t OK OK
9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t
9.2 CHEMICAL WOOD PULP 1000 t 9.2 CHEMICAL WOOD PULP 1000 t OK OK
9.2.1 SULPHATE PULP 1000 t 9.2.1 SULPHATE PULP 1000 t
9.2.1.1 of which: BLEACHED 1000 t 9.2.1.1 of which: BLEACHED 1000 t OK OK
9.2.2 SULPHITE PULP 1000 t 9.2.2 SULPHITE PULP 1000 t
9.3 DISSOLVING GRADES 1000 t 9.3 DISSOLVING GRADES 1000 t
10 OTHER PULP 1000 t 10 OTHER PULP 1000 t OK OK
10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t 10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t
10.2 RECOVERED FIBRE PULP 1000 t 10.2 RECOVERED FIBRE PULP 1000 t
11 RECOVERED PAPER 1000 t 11 RECOVERED PAPER 1000 t
12 PAPER AND PAPERBOARD 1000 t 12 PAPER AND PAPERBOARD 1000 t OK OK
12.1 GRAPHIC PAPERS 1000 t 12.1 GRAPHIC PAPERS 1000 t OK OK
12.1.1 NEWSPRINT 1000 t 12.1.1 NEWSPRINT 1000 t
12.1.2 UNCOATED MECHANICAL 1000 t 12.1.2 UNCOATED MECHANICAL 1000 t
12.1.3 UNCOATED WOODFREE 1000 t 12.1.3 UNCOATED WOODFREE 1000 t
12.1.4 COATED PAPERS 1000 t 12.1.4 COATED PAPERS 1000 t
12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t 12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t
12.3 PACKAGING MATERIALS 1000 t 12.3 PACKAGING MATERIALS 1000 t OK OK
12.3.1 CASE MATERIALS 1000 t 12.3.1 CASE MATERIALS 1000 t
12.3.2 CARTONBOARD 1000 t 12.3.2 CARTONBOARD 1000 t
12.3.3 WRAPPING PAPERS 1000 t 12.3.3 WRAPPING PAPERS 1000 t
12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t
12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 t 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 t
m3ub = cubic metres solid volume underbark (i.e. excluding bark) m3ub = cubic metres underbark (i.e. excluding bark)
Aggregates directly reported: t = metric tonnes
Mechanical wood pulp, semi-chemical wood pulp and pulp from fibres other than wood 9.1+10.1 1000 t 0.000 0.000
To fill: 68 68
Text: 0 0
m3 = cubic metres solid volume
t = metric tonnes

JQ2 Trade

61 62 61 62 91 92 91 92
FOREST SECTOR QUESTIONNAIRE JQ2 Country: 0 Date: 0 both VALUE and quantity reported ZERO
Name of Official responsible for reply: 0 ZERO Q quantity ZERO when VALUE is reported INTRA-EU The difference might be caused by Intra-EU trade
PRIMARY PRODUCTS Official Address (in full): 0 This table highlights discrepancies between production and trade. For any negative number, indicating greater net exports than production, please verify your data! ZERO V Value ZERO when quantity is reported CHECK
Trade Telephone: 0 Fax: 0 This table highlights discrepancies between items and sub-items. Please verify your data if there's an error! ZERO CHECK 1 - if no value please CHECK NO Q no quantity reported ZERO CHECK 2 - if no value in Zero Check 1
Value must always be in 1000 NAC (national currency) E-mail: 0 Flag Flag Flag Flag Flag Flag Flag Flag Note Note Note Note Note Note Note Note Country: 0 NO V no value reported Treshold: 2 verifies whether the JQ2 figures refers only to intra-EU trade
Specify Currency and Unit of Value (e.g.:1000 US $): 1000 NAC Trade Discrepancies REPORT no figures reported
Product Unit of I M P O R T E X P O R T Import Export Import Export Product I M P O R T E X P O R T Product Apparent Consumption Related Notes Product Value per I M P O R T E X P O R T Column1 Column2 Product Value per I M P O R T E X P O R T
code Product quantity 2019 2020 2019 2020 2019 2020 2019 2020 2019 2020 2019 2020 code 2019 2020 2019 2020 code 2019 2020 2019 2020 code Product unit 2019 2020 2019 2020 IMPORT EXPORT code Product unit 2019 2020 2019 2020
Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value
1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub 627.944 52672.261 865.185 65296.302 1945.883 153026.360 1584.207 125290.068 1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub OK OK OK OK OK OK OK OK 1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub -1,318 -100,354 1 ROUNDWOOD (WOOD IN THE ROUGH) NAC/m3 84 75 79 79 ACCEPT ACCEPT 1 ROUNDWOOD (WOOD IN THE ROUGH) NAC/m3
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub 167.722 12472.803 147.113 10568.370 213.208 17289.543 214.677 15999.885 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub OK OK OK OK OK OK OK OK 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub -45 -4,817 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) NAC/m3 74 72 81 75 ACCEPT ACCEPT 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) NAC/m3
1.1.C Coniferous 1000 m3ub 9.576 301.363 8.527 344.785 59.583 3491.212 38.316 1655.317 1.1.C Coniferous 1000 m3ub 1.1.C Coniferous 1000 m3ub -50 -3,190 1.1.C Coniferous NAC/m3 31 40 59 43 ACCEPT ACCEPT 1.1.C Coniferous NAC/m3
1.1.NC Non-Coniferous 1000 m3ub 158.146 12171.440 138.586 10223.586 153.625 13798.331 176.361 14344.568 1.1.NC Non-Coniferous 1000 m3ub 1.1.NC Non-Coniferous 1000 m3ub 5 -1,627 1.1.NC Non-Coniferous NAC/m3 77 74 90 81 ACCEPT ACCEPT 1.1.NC Non-Coniferous NAC/m3
1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 460.222 40199.458 718.072 54727.932 1732.675 135736.817 1369.531 109290.183 1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub OK OK OK OK OK OK OK OK 1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub -1,272 -95,537 1.2 INDUSTRIAL ROUNDWOOD NAC/m3 87 76 78 80 ACCEPT ACCEPT 1.2 INDUSTRIAL ROUNDWOOD NAC/m3
1.2.C Coniferous 1000 m3ub 345.687 21701.328 596.946 32728.019 1181.633 81418.035 831.761 57568.434 1.2.C Coniferous 1000 m3ub 1.2.C Coniferous 1000 m3ub -836 -59,717 1.2.C Coniferous NAC/m3 63 55 69 69 ACCEPT ACCEPT 1.2.C Coniferous NAC/m3
1.2.NC Non-Coniferous 1000 m3ub 114.535 18498.130 121.126 21999.913 551.042 54318.783 537.770 51721.748 1.2.NC Non-Coniferous 1000 m3ub 1.2.NC Non-Coniferous 1000 m3ub -437 -35,821 1.2.NC Non-Coniferous NAC/mt 162 182 99 96 ACCEPT ACCEPT 1.2.NC Non-Coniferous NAC/mt
1.2.NC.T of which: Tropical 1000 m3ub 0.932 798.045 0.649 590.145 0.144 44.008 0.037 11.357 1.2.NC.T of which: Tropical 1000 m3ub OK OK OK OK OK OK OK OK 1.2.NC.T of which: Tropical 1000 m3ub 1 754 1.2.NC.T of which: Tropical 1000 m3 856 909 305 304 ACCEPT ACCEPT 1.2.NC.T of which: Tropical 1000 m3
2 WOOD CHARCOAL 1000 t 4.227 2176.348 3.663 2019.677 1.647 889.388 0.897 583.676 2 WOOD CHARCOAL 1000 t 2 WOOD CHARCOAL 1000 t 3 1,287 2 WOOD CHARCOAL 1000 m3 515 551 540 651 ACCEPT ACCEPT 2 WOOD CHARCOAL 1000 m3
3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 185.858 6115.840 173.670 5556.901 963.152 36186.723 844.893 28412.853 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 OK OK OK OK OK OK OK OK 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 -777 -30,071 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 33 32 38 34 ACCEPT ACCEPT 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3
3.1 WOOD CHIPS AND PARTICLES 1000 m3 129.812 4659.094 125.146 4188.887 772.989 29019.332 717.819 23862.693 3.1 WOOD CHIPS AND PARTICLES 1000 m3 3.1 WOOD CHIPS AND PARTICLES 1000 m3 -643 -24,360 3.1 WOOD CHIPS AND PARTICLES 1000 mt 36 33 38 33 ACCEPT ACCEPT 3.1 WOOD CHIPS AND PARTICLES 1000 mt
3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 56.046 1456.746 48.524 1368.014 190.163 7167.392 127.074 4550.160 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 -134 -5,711 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 mt 26 28 38 36 ACCEPT ACCEPT 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 mt
4 RECOVERED POST-CONSUMER WOOD 1000 t 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 4 RECOVERED POST-CONSUMER WOOD 1000 t 4 RECOVERED POST-CONSUMER WOOD 1000 t 0 0 4 RECOVERED POST-CONSUMER WOOD 1000 mt 0 0 0 0 ACCEPT ACCEPT 4 RECOVERED POST-CONSUMER WOOD 1000 mt
5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t 272.411 46725.524 294.612 41105.391 254.911 50258.137 244.413 45164.294 5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t OK OK OK OK OK OK OK OK 5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t 18 -3,533 5 WOOD PELLETS AND OTHER AGGLOMERATES NAC/m3 172 140 197 185 ACCEPT ACCEPT 5 WOOD PELLETS AND OTHER AGGLOMERATES NAC/m3
5.1 WOOD PELLETS 1000 t 229.473 41223.962 256.776 37278.324 208.542 41402.378 198.492 37023.405 5.1 WOOD PELLETS 1000 t 5.1 WOOD PELLETS 1000 t 21 -178 5.1 WOOD PELLETS NAC/m3 180 145 199 187 ACCEPT ACCEPT 5.1 WOOD PELLETS NAC/m3
5.2 OTHER AGGLOMERATES 1000 t 42.938 5501.562 37.836 3827.067 46.368 8855.758 45.922 8140.890 5.2 OTHER AGGLOMERATES 1000 t 5.2 OTHER AGGLOMERATES 1000 t -3 -3,354 5.2 OTHER AGGLOMERATES NAC/m3 128 101 191 177 ACCEPT ACCEPT 5.2 OTHER AGGLOMERATES NAC/m3
6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 851.663 149551.337 753.809 126023.645 1076.893 205290.997 930.954 178633.755 6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 OK OK OK OK OK OK OK OK 6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 -225 -55,740 6 SAWNWOOD (INCLUDING SLEEPERS) NAC/m3 176 167 191 192 ACCEPT ACCEPT 6 SAWNWOOD (INCLUDING SLEEPERS) NAC/m3
6.C Coniferous 1000 m3 745.389 112189.598 656.042 94394.118 962.377 158039.308 829.759 136299.314 6.C Coniferous 1000 m3 6.C Coniferous 1000 m3 -217 -45,850 6.C Coniferous NAC/m3 151 144 164 164 ACCEPT ACCEPT 6.C Coniferous NAC/m3
6.NC Non-Coniferous 1000 m3 106.274 37361.739 97.768 31629.527 114.516 47251.689 101.195 42334.441 6.NC Non-Coniferous 1000 m3 6.NC Non-Coniferous 1000 m3 -8 -9,890 6.NC Non-Coniferous NAC/m3 352 324 413 418 ACCEPT ACCEPT 6.NC Non-Coniferous NAC/m3
6.NC.T of which: Tropical 1000 m3 2.071 2406.992 2.412 2119.939 0.708 1169.228 0.428 762.503 6.NC.T of which: Tropical 1000 m3 OK OK OK OK OK OK OK OK 6.NC.T of which: Tropical 1000 m3 1 1,238 6.NC.T of which: Tropical NAC/m3 1162 879 1650 1780 ACCEPT ACCEPT 6.NC.T of which: Tropical NAC/m3
7 VENEER SHEETS 1000 m3 13.550 23509.820 12.269 20509.313 22.722 33409.761 21.642 34292.658 7 VENEER SHEETS 1000 m3 OK OK OK OK OK OK OK OK 7 VENEER SHEETS 1000 m3 -9 -9,900 7 VENEER SHEETS NAC/m3 1735 1672 1470 1585 ACCEPT ACCEPT 7 VENEER SHEETS NAC/m3
7.C Coniferous 1000 m3 0.063 120.891 0.144 179.820 1.368 1756.119 1.204 1624.717 7.C Coniferous 1000 m3 7.C Coniferous 1000 m3 -1 -1,635 7.C Coniferous NAC/m3 1905 1249 1284 1350 ACCEPT ACCEPT 7.C Coniferous NAC/m3
7.NC Non-Coniferous 1000 m3 13.487 23388.929 12.125 20329.493 21.354 31653.642 20.438 32667.942 7.NC Non-Coniferous 1000 m3 7.NC Non-Coniferous 1000 m3 -8 -8,265 7.NC Non-Coniferous NAC/m3 1734 1677 1482 1598 ACCEPT ACCEPT 7.NC Non-Coniferous NAC/m3
7.NC.T of which: Tropical 1000 m3 0.237 1183.487 0.341 679.353 0.740 2797.850 0.588 1745.655 7.NC.T of which: Tropical 1000 m3 OK OK OK OK OK OK OK OK 7.NC.T of which: Tropical 1000 m3 -1 -1,614 7.NC.T of which: Tropical NAC/m3 4998 1994 3783 2969 CHECK ACCEPT 7.NC.T of which: Tropical NAC/m3
8 WOOD-BASED PANELS 1000 m3 286.369 112093.931 275.817 108420.021 237.914 104497.305 227.780 100166.823 8 WOOD-BASED PANELS 1000 m3 OK OK OK OK OK OK OK OK 8 WOOD-BASED PANELS 1000 m3 48 7,597 8 WOOD-BASED PANELS NAC/m3 391 393 439 440 ACCEPT ACCEPT 8 WOOD-BASED PANELS NAC/m3
8.1 PLYWOOD 1000 m3 47.377 39513.112 44.846 39487.348 72.546 51697.205 78.397 52056.690 8.1 PLYWOOD 1000 m3 OK OK OK OK OK OK OK OK 8.1 PLYWOOD 1000 m3 -25 -12,184 8.1 PLYWOOD NAC/m3 834 881 713 664 ACCEPT ACCEPT 8.1 PLYWOOD NAC/m3
8.1.C Coniferous 1000 m3 12.361 8256.251 9.155 6257.550 66.445 43924.526 73.369 44908.938 8.1.C Coniferous 1000 m3 8.1.C Coniferous 1000 m3 -54 -35,668 8.1.C Coniferous NAC/m3 668 684 661 612 ACCEPT ACCEPT 8.1.C Coniferous NAC/m3
8.1.NC Non-Coniferous 1000 m3 35.016 31256.861 35.691 33229.797 6.101 7772.680 5.028 7147.752 8.1.NC Non-Coniferous 1000 m3 8.1.NC Non-Coniferous 1000 m3 29 23,484 8.1.NC Non-Coniferous NAC/m3 893 931 1274 1422 ACCEPT ACCEPT 8.1.NC Non-Coniferous NAC/m3
8.1.NC.T of which: Tropical 1000 m3 13.564 14947.555 16.016 18599.001 0.131 183.030 0.143 112.704 8.1.NC.T of which: Tropical 1000 m3 OK OK OK OK OK OK OK OK 8.1.NC.T of which: Tropical 1000 m3 13 14,765 8.1.NC.T of which: Tropical NAC/m3 1102 1161 1392 786 ACCEPT ACCEPT 8.1.NC.T of which: Tropical NAC/m3
8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD 1000 m3 185.728 49890.026 182.308 47210.248 6.061 1819.386 5.384 1596.991 8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD 1000 m3 8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD 1000 m3 180 48,071 8.2 PARTICLE BOARD, ORIENTED STRANDBOARD (OSB) AND SIMILAR BOARD NAC/m3 269 259 300 297 ACCEPT ACCEPT 8.2 PARTICLE BOARD, ORIENTED STRANDBOARD (OSB) AND SIMILAR BOARD NAC/m3
8.2.1 of which: ORIENTED STRAND BOARD (OSB) 1000 m3 30.756 7673.291 35.316 8081.793 1.460 400.200 1.273 320.024 8.2.1 of which: ORIENTED STRAND BOARD (OSB) 1000 m3 OK OK OK OK OK OK OK OK 8.2.1 of which: ORIENTED STRAND BOARD (OSB) 1000 m3 29 7,273 8.2.1 of which: ORIENTED STRANDBOARD (OSB) NAC/m3 249 229 274 251 ACCEPT ACCEPT 8.2.1 of which: ORIENTED STRANDBOARD (OSB) NAC/m3
8.3 FIBREBOARD 1000 m3 53.265 22690.793 48.663 21722.425 159.307 50980.713 144.000 46513.142 8.3 FIBREBOARD 1000 m3 OK OK OK OK OK OK OK OK 8.3 FIBREBOARD 1000 m3 -106 -28,290 8.3 FIBREBOARD NAC/m3 426 446 320 323 ACCEPT ACCEPT 8.3 FIBREBOARD NAC/m3
8.3.1 HARDBOARD 1000 m3 8.532 5333.523 9.005 5685.693 8.971 6125.419 8.249 5715.805 8.3.1 HARDBOARD 1000 m3 8.3.1 HARDBOARD 1000 m3 -0 -792 8.3.1 HARDBOARD NAC/mt 625 631 683 693 ACCEPT ACCEPT 8.3.1 HARDBOARD NAC/mt
8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 36.331 12323.502 31.569 11290.085 148.175 43804.537 132.366 39436.094 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 -112 -31,481 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) NAC/mt 339 358 296 298 ACCEPT ACCEPT 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) NAC/mt
8.3.3 OTHER FIBREBOARD 1000 m3 8.401 5033.769 8.089 4746.647 2.161 1050.757 3.386 1361.243 8.3.3 OTHER FIBREBOARD 1000 m3 8.3.3 OTHER FIBREBOARD 1000 m3 6 3,983 8.3.3 OTHER FIBREBOARD NAC/mt 599 587 486 402 ACCEPT ACCEPT 8.3.3 OTHER FIBREBOARD NAC/mt
9 WOOD PULP 1000 t 237.324 134514.655 288.947 127647.056 8.467 2548.135 14.752 4667.522 9 WOOD PULP 1000 t OK OK OK OK OK OK OK OK 9 WOOD PULP 1000 t 229 131,967 9 WOOD PULP NAC/mt 567 442 301 316 ACCEPT ACCEPT 9 WOOD PULP NAC/mt
9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t 11.461 4749.312 10.496 3882.348 4.843 312.916 6.197 384.796 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t 7 4,436 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP NAC/mt 414 370 65 62 ACCEPT ACCEPT 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP NAC/mt
9.2 CHEMICAL WOOD PULP 1000 t 225.840 129740.221 278.440 123711.446 3.623 2231.579 8.555 4279.839 9.2 CHEMICAL WOOD PULP 1000 t OK OK OK OK OK OK OK OK 9.2 CHEMICAL WOOD PULP 1000 t 222 127,509 9.2 CHEMICAL WOOD PULP NAC/mt 574 444 616 500 ACCEPT ACCEPT 9.2 CHEMICAL WOOD PULP NAC/mt
9.2.1 SULPHATE PULP 1000 t 223.539 128426.500 271.724 120493.597 3.607 2227.018 8.411 4209.265 9.2.1 SULPHATE PULP 1000 t 9.2.1 SULPHATE PULP 1000 t 220 126,199 9.2.1 SULPHATE PULP NAC/mt 575 443 617 500 ACCEPT ACCEPT 9.2.1 SULPHATE PULP NAC/mt
9.2.1.1 of which: BLEACHED 1000 t 210.974 122014.290 246.984 111403.371 1.757 1260.329 6.030 3024.983 9.2.1.1 of which: BLEACHED 1000 t OK OK OK OK OK OK OK OK 9.2.1.1 of which: BLEACHED 1000 t 209 120,754 9.2.1.1 of which: BLEACHED NAC/mt 578 451 717 502 ACCEPT ACCEPT 9.2.1.1 of which: BLEACHED NAC/mt
9.2.2 SULPHITE PULP 1000 t 2.302 1313.721 6.715 3217.849 0.017 4.561 0.143 70.574 9.2.2 SULPHITE PULP 1000 t 9.2.2 SULPHITE PULP 1000 t 2 1,309 9.2.2 SULPHITE PULP NAC/mt 571 479 275 492 ACCEPT ACCEPT 9.2.2 SULPHITE PULP NAC/mt
9.3 DISSOLVING GRADES 1000 t 0.023 25.122 0.012 53.262 0.000 3.640 0.000 2.887 9.3 DISSOLVING GRADES 1000 t 9.3 DISSOLVING GRADES 1000 t 0 21 9.3 DISSOLVING GRADES NAC/mt 1103 4560 10328 10489 CHECK ACCEPT 9.3 DISSOLVING GRADES NAC/mt
10 OTHER PULP 1000 t 0.652 813.446 0.583 584.143 0.013 38.620 0.010 33.951 10 OTHER PULP 1000 t OK OK OK OK OK OK OK OK 10 OTHER PULP 1000 t 1 775 10 OTHER PULP NAC/mt 1248 1002 3030 3417 ACCEPT ACCEPT 10 OTHER PULP NAC/mt
10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t 0.288 540.961 0.173 273.723 0.002 23.082 0.002 25.222 10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t 10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t 0 518 10.1 PULP FROM FIBRES OTHER THAN WOOD NAC/mt 1879 1584 12776 13686 ACCEPT ACCEPT 10.1 PULP FROM FIBRES OTHER THAN WOOD NAC/mt
10.2 RECOVERED FIBRE PULP 1000 t 0.364 272.485 0.410 310.420 0.011 15.538 0.008 8.729 10.2 RECOVERED FIBRE PULP 1000 t 10.2 RECOVERED FIBRE PULP 1000 t 0 257 10.2 RECOVERED FIBRE PULP NAC/mt 749 757 1420 1079 ACCEPT ACCEPT 10.2 RECOVERED FIBRE PULP NAC/mt
11 RECOVERED PAPER 1000 t 260.094 46355.320 239.313 39007.720 148.458 14879.561 148.109 12471.040 11 RECOVERED PAPER 1000 t 11 RECOVERED PAPER 1000 t 112 31,476 11 RECOVERED PAPER NAC/mt 178 163 100 84 ACCEPT ACCEPT 11 RECOVERED PAPER NAC/mt
12 PAPER AND PAPERBOARD 1000 t 712.896 418124.915 756.394 382526.699 642.154 461498.577 629.984 430824.779 12 PAPER AND PAPERBOARD 1000 t OK OK OK OK OK OK OK OK 12 PAPER AND PAPERBOARD 1000 t 71 -43,374 12 PAPER AND PAPERBOARD NAC/mt 587 506 719 684 ACCEPT ACCEPT 12 PAPER AND PAPERBOARD NAC/mt
12.1 GRAPHIC PAPERS 1000 t 249.825 162556.943 211.582 127952.565 397.301 299115.283 379.932 268068.456 12.1 GRAPHIC PAPERS 1000 t OK OK OK OK OK OK OK OK 12.1 GRAPHIC PAPERS 1000 t -147 -136,558 12.1 GRAPHIC PAPERS NAC/mt 651 605 753 706 ACCEPT ACCEPT 12.1 GRAPHIC PAPERS NAC/mt
12.1.1 NEWSPRINT 1000 t 17.516 9515.007 19.300 8731.084 136.607 67747.670 114.111 46513.503 12.1.1 NEWSPRINT 1000 t 12.1.1 NEWSPRINT 1000 t -119 -58,233 12.1.1 NEWSPRINT NAC/mt 543 452 496 408 ACCEPT ACCEPT 12.1.1 NEWSPRINT NAC/mt
12.1.2 UNCOATED MECHANICAL 1000 t 49.026 27763.295 42.787 21825.561 20.143 13033.051 13.210 8438.422 12.1.2 UNCOATED MECHANICAL 1000 t 12.1.2 UNCOATED MECHANICAL 1000 t 29 14,730 12.1.2 UNCOATED MECHANICAL NAC/mt 566 510 647 639 ACCEPT ACCEPT 12.1.2 UNCOATED MECHANICAL NAC/mt
12.1.3 UNCOATED WOODFREE 1000 t 114.497 78951.727 90.337 57307.283 94.243 80908.027 100.864 78462.751 12.1.3 UNCOATED WOODFREE 1000 t 12.1.3 UNCOATED WOODFREE 1000 t 20 -1,956 12.1.3 UNCOATED WOODFREE NAC/mt 690 634 859 778 ACCEPT ACCEPT 12.1.3 UNCOATED WOODFREE NAC/mt
12.1.4 COATED PAPERS 1000 t 68.786 46326.914 59.158 40088.637 146.308 137426.536 151.747 134653.779 12.1.4 COATED PAPERS 1000 t 12.1.4 COATED PAPERS 1000 t -78 -91,100 12.1.4 COATED PAPERS NAC/mt 673 678 939 887 ACCEPT ACCEPT 12.1.4 COATED PAPERS NAC/mt
12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t 8.631 9934.264 9.836 9843.252 4.612 4345.552 5.647 5217.710 12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t 12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t 4 5,589 12.2 HOUSEHOLD AND SANITARY PAPERS NAC/mt 1151 1001 942 924 ACCEPT ACCEPT 12.2 HOUSEHOLD AND SANITARY PAPERS NAC/mt
12.3 PACKAGING MATERIALS 1000 t 453.670 240731.486 534.336 241251.362 240.030 152938.187 244.244 154186.913 12.3 PACKAGING MATERIALS 1000 t OK OK OK OK OK OK OK OK 12.3 PACKAGING MATERIALS 1000 t 214 87,793 12.3 PACKAGING MATERIALS NAC/mt 531 451 637 631 ACCEPT ACCEPT 12.3 PACKAGING MATERIALS NAC/mt
12.3.1 CASE MATERIALS 1000 t 219.726 74065.355 263.766 76461.657 1.836 857.172 0.856 389.281 12.3.1 CASE MATERIALS 1000 t 12.3.1 CASE MATERIALS 1000 t 218 73,208 12.3.1 CASE MATERIALS NAC/mt 337 290 467 455 ACCEPT ACCEPT 12.3.1 CASE MATERIALS NAC/mt
12.3.2 CARTONBOARD 1000 t 73.239 37063.725 82.161 40959.299 234.590 148099.951 238.670 148370.172 12.3.2 CARTONBOARD 1000 t 12.3.2 CARTONBOARD 1000 t -161 -111,036 12.3.2 CARTONBOARD NAC/mt 506 499 631 622 ACCEPT ACCEPT 12.3.2 CARTONBOARD NAC/mt
12.3.3 WRAPPING PAPERS 1000 t 156.625 127702.641 183.829 121657.847 2.290 3206.379 4.443 5237.026 12.3.3 WRAPPING PAPERS 1000 t 12.3.3 WRAPPING PAPERS 1000 t 154 124,496 12.3.3 WRAPPING PAPERS NAC/mt 815 662 1400 1179 ACCEPT ACCEPT 12.3.3 WRAPPING PAPERS NAC/mt
12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t 4.079 1899.766 4.580 2172.559 1.315 774.685 0.275 190.435 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t 3 1,125 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING NAC/mt 466 474 589 693 ACCEPT ACCEPT 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING NAC/mt
12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 t 0.769 4892.825 0.640 3479.014 0.211 5099.554 0.161 3351.700 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 t 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 t 1 -207 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) NAC/mt 6361 5432 24209 20817 ACCEPT ACCEPT 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) NAC/mt
m3ub = cubic metres solid volume underbark (i.e. excluding bark)
Mechanical wood pulp, semi-chemical wood pulp and pulp from fibres other than wood 9.1+10.1 1000 t 11.749 5290.273 10.669 4156.071 4.845 335.998 6.199 410.018
To fill: 0 0 0 0 0 0 0 0
Text: 0 0 0 0 0 0 0 0

JQ3 Secondary PP Trade

62 91 91
Country: 0 Date:
Name of Official responsible for reply: 0 Specify Currency and Unit of Value (e.g.:1000 US $): _____________________
Official Address (in full):
FOREST SECTOR QUESTIONNAIRE JQ3 0
SECONDARY PROCESSED PRODUCTS Telephone/Fax: 0 0
Trade E-mail: 0
This table highlights discrepancies between items and sub-items. Please verify your data if there's an error!
Value must always be in 1000 NAC (national currency) Flag Flag Flag Flag Note Note Note Note Discrepancies
Eurozone countries may use the old national currency, but only in both years
Product Product I M P O R T V A L U E E X P O R T V A L U E Import Export Import Export Product Product I M P O R T V A L U E E X P O R T V A L U E
code 2019 2020 2019 2020 2019 2020 2019 2020 2019 2020 2019 2020 Code 2019 2020 2019 2020
13 SECONDARY WOOD PRODUCTS 225194.578 224348.798 377207.860 345832.568 13 SECONDARY WOOD PRODUCTS OK OK OK OK
13.1 FURTHER PROCESSED SAWNWOOD 16063.906 14180.461 5854.222 4783.87126 13.1 FURTHER PROCESSED SAWNWOOD OK OK OK OK
13.1.C Coniferous 8498.639 8759.977 1865.789 1807.57246 13.1.C Coniferous
13.1.NC Non-coniferous 7565.266 5420.484 3988.433 2976.2988 13.1.NC Non-coniferous
13.1.NC.T of which: Tropical 371.847 353.405 306.635 577.16421 13.1.NC.T of which: Tropical OK OK OK OK
13.2 WOODEN WRAPPING AND PACKAGING MATERIAL 19825.792 18990.857 21551.810 21080.36087 13.2 WOODEN WRAPPING AND PACKAGING MATERIAL
13.3 WOOD PRODUCTS FOR DOMESTIC/DECORATIVE USE 2721.182 2553.980 10455.557 10349.22135 13.3 WOOD PRODUCTS FOR DOMESTIC/DECORATIVE USE
13.4 BUILDER’S JOINERY AND CARPENTRY OF WOOD 34437.721 40034.542 82097.344 84137.88895 13.4 BUILDER’S JOINERY AND CARPENTRY OF WOOD
13.5 WOODEN FURNITURE 117862.412 114875.935 181576.715 143285.2991 13.5 WOODEN FURNITURE
13.6 PREFABRICATED BUILDINGS OF WOOD 3097.948 3296.854 30266.669 33241.59845 13.6 PREFABRICATED BUILDINGS OF WOOD
13.7 OTHER MANUFACTURED WOOD PRODUCTS 31185.617 30416.170 45405.544 48954.32821 13.7 OTHER MANUFACTURED WOOD PRODUCTS
14 SECONDARY PAPER PRODUCTS 171517.598 168779.715 194757.790 183152.078 14 SECONDARY PAPER PRODUCTS OK OK OK OK
14.1 COMPOSITE PAPER AND PAPERBOARD 3431.301 3505.669 186.775 162.28288 14.1 COMPOSITE PAPER AND PAPERBOARD
14.2 SPECIAL COATED PAPER AND PULP PRODUCTS 17460.282 18712.306 16880.936 16258.91537 14.2 SPECIAL COATED PAPER AND PULP PRODUCTS
14.3 HOUSEHOLD AND SANITARY PAPER, READY FOR USE 49340.069 50742.685 84679.721 76158.47987 14.3 HOUSEHOLD AND SANITARY PAPER, READY FOR USE
14.4 PACKAGING CARTONS, BOXES ETC. 58876.378 58449.342 67994.826 66329.38829 14.4 PACKAGING CARTONS, BOXES ETC.
14.5 OTHER ARTICLES OF PAPER AND PAPERBOARD, READY FOR USE 42409.567 37369.713 25015.531 24243.01143 14.5 OTHER ARTICLES OF PAPER AND PAPERBOARD, READY FOR USE OK OK OK OK
14.5.1 of which: PRINTING AND WRITING PAPER, READY FOR USE 639.503 401.905 1025.814 688.46579 14.5.1 of which: PRINTING AND WRITING PAPER, READY FOR USE
14.5.2 of which: ARTICLES, MOULDED OR PRESSED FROM PULP 1854.176 1793.084 119.614 38.35396 14.5.2 of which: ARTICLES, MOULDED OR PRESSED FROM PULP
14.5.3 of which: FILTER PAPER AND PAPERBOARD, READY FOR USE 1220.292 1164.954 197.262 182.34195 14.5.3 of which: FILTER PAPER AND PAPERBOARD, READY FOR USE
To fill: 0 0 0 0
Text: 0 0 0 0

LAM & CHIPS

Unit of quantity: 1000 mt
version 1 for X-LAM ( CN 2017, 2018: 44189990 )
Year Product Flow Year App. Cons. Unit price
Production Total Export Total Import Extra-EU Export Extra-EU Import TOT EXP TOT IMP X-EU EXP X-EU IMP
1000 mt 1000 mt 1000 NAC 1000 mt 1000 NAC 1000 mt 1000 NAC 1000 mt 1000 NAC 1000 mt
2019 Glulam 7.746 8228.041 4.208 4243.389 0.095 95.361 0.001 0.376 2019 -3.53834431 1062.1709124423 1008.3875814042 1008.5516255304 671.5357142857
2020 6.952 7718.857 5.958 5553.369 0.374 706.046 0.004 6.427 2020 -0.99357143 1110.34399032 932.0548999638 1886.8978081971 1712.1382848649
2019 X-lam 15.425 18177.791 1.618 2974.334 8.619 9563.925 0.029 84.491 2019 -13.806317183 1178.483777586 1837.812208383 1109.6702611675 2960.002844703
2020 17.456 20116.982 2.087 3419.729 8.618 9328.978 0.116 214.677 2020 -15.36882369 1152.4187639442 1638.2018826436 1082.5021103184 1855.7849455747
version 2 for X-LAM (CN 2017,2018: 44219910, 44219999)
Year Product Flow
Production Total Export Total Import Extra-EU Export Extra-EU Import
1000 mt 1000 mt 1000 NAC 1000 mt 1000 NAC 1000 mt 1000 NAC 1000 mt 1000 NAC
2019 Glulam
Sever Aleksander: CN: 44189910
7.746 8228.041 4.208 4243.389 0.095 95.361 0.001 0.376
2020 6.952 7718.857 5.958 5553.369 0.374 706.046 0.004 6.427
2019 X-lam
Sever Aleksander: CN: 44219910, 44219999
15.298 35669.424 24.327 30390.543 1.998 4725.093 14.129 12445.494
2020 17.614 38649.499 25.746 29652.269 2.756 6541.694 14.695 12584.256

Definitions: Glulam: Builders' carpentry also includes glue-laminated timber (glulam), which is a structural timber product obtained by gluing together a number of wood laminations having their grain essentially parallel. Laminations of curved members are arranged so that the plane of each lamination is at 90 degrees to the plane of the applied load; thus, laminations of a straight gluman beam are laid flat. [from HS 4418, Builders' joinery and carpentry of wood, including cellular wood panels, assembled flooring panels, shingles and shakes] X-lam: Panels consisting of laths of roughly sawn wood, assembled with glue in order to facilitate transport or later working. [from HS4421, Other articles of wood]

ECE-EU Species

Country: 0 Date:
Name of Official responsible for reply: 0 DISCREPANCIES
FOREST SECTOR QUESTIONNAIRE ECE/EU Species Trade Official Address (in full): Checks Check Table
0 0 both VALUE and quantity reported ZERO
Trade in Roundwood and Sawnwood by species Telephone: 0 Fax: 0 - checks whether the sum of subitems is bigger than the total ZERO Q quantity ZERO when VALUE is reported
E-mail: 0 ZERO V Value ZERO when quantity is reported
Zero check - if no value please CHECK NO Q no quantity reported
Value must always be in 1000 NAC ( national currency) Flag Flag Flag Flag Flag Flag Flag Flag Note Note Note Note Note Note Note Note NO V no value reported Treshold: 2
Eurozone countries may use the old national currency, but only in both years 1000NAC REPORT no figures reported
I M P O R T E X P O R T Import Export Import Export I M P O R T E X P O R T Value per I M P O R T E X P O R T Unit price check
Product Classification Classification Unit of 2019 2020 2019 2020 2019 2020 2019 2020 2019 2020 2019 2020 2019 2020 2019 2020 Classification Classification unit 2019 2020 2019 2020 IMPORT EXPORT
Code HS2017 CN2017 Product Quantity Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value HS2007 CN2007 Product
1.2.C 4403.11/21/22/23/24/25/26 Industrial Roundwood, Coniferous 1000 m3ub 345.687 21701.328 596.946 32728.019 1181.633 81418.035 831.761 57568.434 OK OK OK OK OK OK OK OK 4403.11/21/22/23/24/25/26 0 NAC/m3 63 55 69 69 ACCEPT ACCEPT PRODUCTION I M P O R T E X P O R T
4403.23/24 Fir/Spruce (Abies spp., Picea spp.) 1000 m3ub 314.157 18278.334 551.324 29077.645 1066.293 72040.530 741.889 50330.451 OK OK OK OK OK OK OK OK 4403.23/24 Fir/Spruce (Abies spp., Picea spp.) NAC/m3 58 53 68 68 ACCEPT ACCEPT Product Classification Classification Unit of 2019 2020 2019 2020 2019 2020
4403 23 10 sawlogs and veneer logs 1000 m3ub 106.710 5841.627 349.009 18134.783 737.843 52662.071 497.940 37663.386 4403 23 10 sawlogs and veneer logs (Abies alba, Picea abies) NAC/m3 55 52 71 76 ACCEPT ACCEPT Code HS2007 CN2007 Product Quantity Quantity Quantity Quantity Value Quantity Value Quantity Value Quantity Value
4403 23 90 4403 24 00 pulpwood and other industrial roundwood 1000 m3ub 207.447 12436.707 202.315 10942.863 328.450 19378.459 243.948 12667.065 4403 23 90 4403 24 00 pulpwood and other industrial roundwood (Abies alba, Picea abies) NAC/m3 60 54 59 52 ACCEPT ACCEPT 1 4401.11/12 44.03 Roundwood production 1000 m3 JQ1 0 0
4403.21/22 Pine (Pinus spp.) 1000 m3ub 5.107 399.644 4.047 318.684 25.412 1224.743 15.134 753.063 OK OK OK OK OK OK OK OK 4403.21/22 Pine (Pinus spp.) NAC/m3 78 79 48 50 ACCEPT ACCEPT EU2 0 0
4403 21 10 sawlogs and veneer logs 1000 m3ub 3.126 111.237 1.790 102.233 6.919 358.507 9.125 512.103 4403 21 10 sawlogs and veneer logs (Pinus sylvestris) NAC/m3 36 57 52 56 ACCEPT ACCEPT dif 0 0
4403 21 90 4403 22 00 pulpwood and other industrial roundwood 1000 m3ub 1.982 288.407 2.257 216.451 18.493 866.236 6.009 240.960 4403 21 90 4403 22 00 pulpwood and other industrial roundwood (Pinus sylvestris) NAC/m3 146 96 47 40 ACCEPT ACCEPT 1.2.C 4403.11/21/22/23/24/25/26 Industrial Roundwood (wood in the rough), Coniferous 1000 m3 JQ2 346 21,701 597 32,728 1,182 81,418 832 57,568
ECE/EU 346 21,701 597 32,728 1,182 81,418 832 57,568
Please note the deleted rows, do not use this area. dif 0 0 0 0 0 0 0 0
1.2.NC 4403.12/41/49/91/93/94/95/96/97/98/99 Industrial Roundwood (wood in the rough), Non-Coniferous 1000 m3 JQ2 115 18,498 121 22,000 551 54,319 538 51,722
1.2.NC 4403.12/41/49/91/93/94 4403.95/96/97/98/99 Industrial Roundwood, Non-Coniferous 1000 m3ub 114.535 18498.130 121.126 21999.913 551.042 54318.783 537.770 51721.748 OK OK OK OK OK OK OK OK 4403.12/41/49/91/93/94 4403.95/96/97/98/99 0 NAC/m3 162 182 99 96 ACCEPT ACCEPT ECE/EU 115 18,498 121 22,000 551 54,319 538 51,722
4403.91 of which: Oak (Quercus spp.) 1000 m3ub 15.615 7229.834 33.037 13185.543 70.500 15996.077 84.591 19288.478 4403.91 of which: Oak (Quercus spp.) NAC/m3 463 399 227 228 ACCEPT ACCEPT dif 0 0 0 0 0 0 0 0
4403.93/94 of which: Beech (Fagus spp.) 1000 m3ub 37.099 1939.677 40.349 2201.598 349.196 23737.711 364.258 22852.069 4403.93/94 of which: Beech (Fagus spp.) NAC/m3 52 55 68 63 ACCEPT ACCEPT 6.C 4406.11/91 4407.11/12/19 Sawnwood, Coniferous 1000 m3 JQ2 745 112,190 656 94,394 962 158,039 830 136,299
4403.95/96 of which: Birch (Betula spp.) 1000 m3ub 0.074 30.981 0.067 31.222 0.018 0.926 0.074 7.786 OK OK OK OK OK OK OK OK 4403.95/96 of which: Birch (Betula spp.) NAC/m3 419 467 51 106 ACCEPT CHECK ECE/EU 745 112,190 656 94,394 962 158,039 830 136,299
4403 95 10 sawlogs and veneer logs 1000 m3ub 0.041 18.460 0.053 23.014 0.018 0.926 0.074 7.786 4403 95 10 sawlogs and veneer logs NAC/m3 451 436 51 106 ACCEPT CHECK dif 0 0 0 0 0 0 0 0
4403 95 90 4403 96 00 pulpwood and other industrial roundwood 1000 m3ub 0.033 12.521 0.014 8.208 0.000 0.000 0.000 0.000 4403 95 90 4403 96 00 pulpwood and other industrial roundwood NAC/m3 380 582 0 0 ACCEPT CHECK 6.NC 4406.12/92 4407.21/22/25/26/27/28/29/91/92/93/94/95/96/97/99 Sawnwood, Non-coniferous 1000 m3 JQ2 106 37,362 98 31,630 115 47,252 101 42,334
4403.97 of which: Poplar/Aspen (Populus spp.) 1000 m3ub 12.092 820.601 11.265 638.699 0.578 59.584 0.082 38.463 4403.97 of which: Poplar/Aspen (Populus spp.) NAC/m3 68 57 103 470 ACCEPT CHECK ECE/EU 106 37,362 98 31,630 115 47,252 101 42,334
4403.98 of which: Eucalyptus (Eucalyptus spp.) 1000 m3ub 0.001 7.730 0.000 0.000 0.000 0.000 0.000 0.000 4403.98 of which: Eucalyptus (Eucalyptus spp.) NAC/m3 7592 0 0 0 CHECK CHECK dif 0 0 0 0 0 0 0 0
6.C 4406.11/91 4407.11/12/19 Sawnwood, Coniferous 1000 m3 745.389 112189.598 656.042 94394.118 962.377 158039.308 829.759 136299.314 OK OK OK OK OK OK OK OK 4406.11/91 4407.11/12/19 Sawnwood, Coniferous NAC/m3 151 144 164 164 ACCEPT ACCEPT
4407.12 of which: Fir/Spruce (Abies spp., Picea spp.) 1000 m3 727.016 105687.828 636.468 88312.679 902.557 147281.645 799.039 130545.120 4407.12 of which: Fir/Spruce (Abies spp., Picea spp.) NAC/m3 145 139 163 163 ACCEPT ACCEPT
4407.11 of which: Pine (Pinus spp.) 1000 m3 2.641 859.160 4.759 973.627 43.357 7395.365 19.787 3349.576 4407.11 of which: Pine (Pinus spp.) NAC/m3 325 205 171 169 ACCEPT ACCEPT OK OK
6.NC 4406.12/92 4407.21/22/25/26/27/28/29/ 91/92/93/94/95/96/97/99 Sawnwood, Non-coniferous 1000 m3 106.274 37361.739 97.768 31629.527 114.516 47251.689 101.195 42334.441 OK OK OK OK OK OK OK OK 4406.12/92 4407.21/22/25/26/27/28/29/ 91/92/93/94/95/96/97/99 Sawnwood, Non-coniferous NAC/m3 352 324 413 418 ACCEPT ACCEPT OK OK OK OK OK OK OK OK
4407.91 of which: Oak (Quercus spp.) 1000 m3 37.948 15473.408 38.929 13881.481 31.781 20134.227 25.826 16675.668 4407.91 of which: Oak (Quercus spp.) NAC/m3 408 357 634 646 ACCEPT ACCEPT OK OK OK OK OK OK OK OK
4407.92 of which: Beech (Fagus spp.) 1000 m3 39.332 8789.584 32.677 7106.330 73.381 20549.949 65.431 19173.252 4407.92 of which: Beech (Fagus spp.) NAC/m3 223 217 280 293 ACCEPT ACCEPT OK OK OK OK OK OK OK OK
4407.93 of which: Maple (Acer spp.) 1000 m3 0.228 81.241 0.139 60.022 0.145 65.656 0.127 62.701 4407.93 of which: Maple (Acer spp.) NAC/m3 357 433 454 493 ACCEPT ACCEPT OK OK OK OK OK OK OK OK
4407.94 of which: Cherry (Prunus spp.) 1000 m3 0.237 90.906 0.098 61.144 0.027 12.923 0.005 6.919 4407.94 of which: Cherry (Prunus spp.) NAC/m3 384 623 477 1427 ACCEPT CHECK
4407.95 of which: Ash (Fraxinus spp.) 1000 m3 11.550 3842.729 11.019 3080.196 4.586 2020.085 4.285 2070.049 4407.95 of which: Ash (Fraxinus spp.) NAC/m3 333 280 441 483 ACCEPT ACCEPT
4407.97 of which: Poplar/Aspen (Populus spp.) 1000 m3 5.147 2926.777 3.042 1718.417 0.155 70.276 0.136 85.747 4407.97 of which: Poplar/Aspen (Populus spp.) NAC/m3 569 565 453 631 ACCEPT ACCEPT
4407.96 of which: Birch (Betula spp.) 1000 m3 0.210 119.364 0.538 303.016 0.193 107.137 0.562 306.549 4407.96 of which: Birch (Betula spp.) NAC/m3 568 563 556 546 ACCEPT ACCEPT
Light blue cells are requested only for EU members using the Combined Nomenclature to fill in - other countries are welcome to do so if their trade classification nomenclature permits
Please note that information on tropical species trade is requested in questionnaire ITTO2 for ITTO member countries To fill: 3 3 3 3 3 3 3 3
m3ub = cubic metres underbark (i.e. excluding bark) Text: 0 0 0 0 0 0 0 0

EU1 ExtraEU Trade

EU1 Country: 0 Date: JQ2/EU1 comparison 0 both VALUE and quantity reported ZERO
Name of Official responsible for reply: 0 ZERO Q quantity ZERO when VALUE is reported
FOREST SECTOR QUESTIONNAIRE Official Address (in full): 0 JQ2>=EU1 ZERO V Value ZERO when quantity is reported
Trade with countries outside EU Telephone: 0 Fax: 0 Please verify if there's an error! Zero check - if no value please CHECK NO Q no quantity reported
Value must always be in 1000 NAC (national currency) E-mail: 0 Flag Flag Flag Flag Flag Flag Flag Flag Note Note Note Note Note Note Note Note NO V no value reported Treshold: 2
Eurozone countries may use the old national currency, but only in both years 1000NAC Trade Discrepancies REPORT no figures reported
Product Unit of I M P O R T E X P O R T Import Export Import Export I M P O R T E X P O R T Product I M P O R T E X P O R T Product Value per I M P O R T E X P O R T Column1 Column2
code Product quantity 2019 2020 2019 2020 2019 2020 2019 2020 2019 2020 2019 2020 2019 2020 2019 2020 code 2019 2020 2019 2020 code Product unit 2019 2020 2019 2020 IMPORT EXPORT
Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value
1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub 109.555 12004.185 90.336 9295.734 208.432 26279.427 192.390 29761.654 OK OK OK OK OK OK OK OK 1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub OK OK OK OK OK OK OK OK 1 ROUNDWOOD (WOOD IN THE ROUGH) NAC/m3 110 103 126 155 ACCEPT CHECK
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub 97.922 9380.996 80.727 7292.512 0.247 41.878 0.054 5.350 OK OK OK OK OK OK OK OK 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub OK OK OK OK OK OK OK OK 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) NAC/m3 96 90 170 100 ACCEPT CHECK
1.1.C Coniferous 1000 m3ub 0.507 60.633 1.074 164.615 0.080 3.427 0.000 0.000 OK OK OK OK OK OK OK OK 1.1.C Coniferous 1000 m3ub 1.1.C Coniferous NAC/m3 120 153 43 0 CHECK ACCEPT
1.1.NC Non-Coniferous 1000 m3ub 97.416 9320.363 79.653 7127.897 0.167 38.451 0.054 5.350 OK OK OK OK OK OK OK OK 1.1.NC Non-Coniferous 1000 m3ub 1.1.NC Non-Coniferous NAC/m3 96 89 231 100 CHECK CHECK
1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 11.633 2623.189 9.609 2003.222 208.185 26237.549 192.336 29756.305 OK OK OK OK OK OK OK OK 1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub OK OK OK OK OK OK OK OK 1.2 INDUSTRIAL ROUNDWOOD NAC/m3 225 208 126 155 ACCEPT CHECK
1.2.C Coniferous 1000 m3ub 9.230 1195.684 8.385 1097.699 125.229 11649.326 92.678 10095.138 OK OK OK OK OK OK OK OK 1.2.C Coniferous 1000 m3ub 1.2.C Coniferous NAC/m3 130 131 93 109 ACCEPT CHECK
1.2.NC Non-Coniferous 1000 m3ub 2.403 1427.505 1.224 905.523 82.956 14588.223 99.658 19661.167 OK OK OK OK OK OK OK OK 1.2.NC Non-Coniferous 1000 m3ub 1.2.NC Non-Coniferous NAC/m3 594 740 176 197 CHECK CHECK
1.2.NC.T of which: Tropical 1000 m3ub 0.261 287.317 0.272 243.544 0.053 37.163 0.000 0.219 OK OK OK OK OK OK OK OK 1.2.NC.T of which: Tropical 1000 m3ub OK OK OK OK OK OK OK OK 1.2.NC.T of which: Tropical NAC/m3 1103 896 698 2573 ACCEPT CHECK
2 WOOD CHARCOAL 1000 t 2.879 1385.743 1.986 974.480 0.061 42.455 0.009 20.790 OK OK OK OK OK OK OK OK 2 WOOD CHARCOAL 1000 t 2 WOOD CHARCOAL NAC/t 481 491 696 2351 ACCEPT CHECK
3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 5.070 255.190 3.865 233.635 0.386 17.972 0.158 18.328 OK OK OK OK OK OK OK OK 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 OK OK OK OK OK OK OK OK 3 WOOD CHIPS, PARTICLES AND RESIDUES NAC/m3 50 60 47 116 ACCEPT CHECK
3.1 WOOD CHIPS AND PARTICLES 1000 m3 2.227 200.043 1.267 219.903 0.296 13.053 0.088 15.678 OK OK OK OK OK OK OK OK 3.1 WOOD CHIPS AND PARTICLES 1000 m3 3.1 WOOD CHIPS AND PARTICLES NAC/m3 90 173 44 178 CHECK CHECK
3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 2.843 55.147 2.598 13.732 0.090 4.918 0.069 2.650 OK OK OK OK OK OK OK OK 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) NAC/m3 19 5 54 38 CHECK CHECK
4 RECOVERED POST-CONSUMER WOOD 1000 t 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 OK OK OK OK OK OK OK OK 4 RECOVERED POST-CONSUMER WOOD 1000 t 4 RECOVERED POST-CONSUMER WOOD NAC/t 0 0 0 0 ACCEPT ACCEPT
5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t 106.678 18525.583 97.456 16433.970 0.403 81.416 0.119 22.238 OK OK OK OK OK OK OK OK 5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t OK OK OK OK OK OK OK OK 5 WOOD PELLETS AND OTHER AGGLOMERATES NAC/t 174 169 202 186 ACCEPT CHECK
5.1 WOOD PELLETS 1000 t 95.701 16915.765 90.802 15672.782 0.141 30.305 0.096 17.335 OK OK OK OK OK OK OK OK 5.1 WOOD PELLETS 1000 t 5.1 WOOD PELLETS NAC/t 177 173 215 180 ACCEPT CHECK
5.2 OTHER AGGLOMERATES 1000 t 10.977 1609.819 6.655 761.188 0.262 51.111 0.023 4.903 OK OK OK OK OK OK OK OK 5.2 OTHER AGGLOMERATES 1000 t 5.2 OTHER AGGLOMERATES NAC/t 147 114 195 213 ACCEPT CHECK
6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 57.825 19434.113 52.760 16935.826 669.257 119372.308 571.625 101613.603 OK OK OK OK OK OK OK OK 6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 OK OK OK OK OK OK OK OK 6 SAWNWOOD (INCLUDING SLEEPERS) NAC/m3 336 321 178 178 ACCEPT CHECK
6.C Coniferous 1000 m3 18.597 3640.620 17.189 3207.493 644.688 108875.386 550.737 92259.391 OK OK OK OK OK OK OK OK 6.C Coniferous 1000 m3 6.C Coniferous NAC/m3 196 187 169 168 ACCEPT CHECK
6.NC Non-Coniferous 1000 m3 39.228 15793.493 35.571 13728.333 24.568 10496.922 20.888 9354.212 OK OK OK OK OK OK OK OK 6.NC Non-Coniferous 1000 m3 6.NC Non-Coniferous NAC/m3 403 386 427 448 ACCEPT CHECK
6.NC.T of which: Tropical 1000 m3 1.501 1340.990 1.765 1231.153 0.213 292.038 0.094 188.707 OK OK OK OK OK OK OK OK 6.NC.T of which: Tropical 1000 m3 OK OK OK OK OK OK OK OK 6.NC.T of which: Tropical NAC/m3 894 698 1370 2000 ACCEPT CHECK
7 VENEER SHEETS 1000 m3 7.622 4292.217 6.938 4198.164 2.142 4898.695 2.527 7215.662 OK OK OK OK OK OK OK OK 7 VENEER SHEETS 1000 m3 OK OK OK OK OK OK OK OK 7 VENEER SHEETS NAC/m3 563 605 2287 2855 CHECK CHECK
7.C Coniferous 1000 m3 0.019 29.109 0.039 43.212 0.170 181.829 0.123 172.952 OK OK OK OK OK OK OK OK 7.C Coniferous 1000 m3 7.C Coniferous NAC/m3 1499 1095 1070 1404 ACCEPT CHECK
7.NC Non-Coniferous 1000 m3 7.603 4263.107 6.899 4154.951 1.972 4716.866 2.404 7042.710 OK OK OK OK OK OK OK OK 7.NC Non-Coniferous 1000 m3 7.NC Non-Coniferous NAC/m3 561 602 2392 2929 CHECK CHECK
7.NC.T of which: Tropical 1000 m3 0.042 248.052 0.184 242.558 0.117 578.427 0.238 879.968 OK OK OK OK OK OK OK OK 7.NC.T of which: Tropical 1000 m3 OK OK OK OK OK OK OK OK 7.NC.T of which: Tropical NAC/m3 5848 1318 4941 3704 CHECK CHECK
8 WOOD-BASED PANELS 1000 m3 14.466 6622.142 7.970 4491.061 54.585 26273.087 55.399 25653.137 OK OK OK OK OK OK OK OK 8 WOOD-BASED PANELS 1000 m3 OK OK OK OK OK OK OK OK 8 WOOD-BASED PANELS NAC/m3 458 564 481 463 ACCEPT CHECK
8.1 PLYWOOD 1000 m3 8.248 5088.129 6.070 3788.446 22.889 15279.529 24.248 14867.114 OK OK OK OK OK OK OK OK 8.1 PLYWOOD 1000 m3 OK OK OK OK OK OK OK OK 8.1 PLYWOOD NAC/m3 617 624 668 613 ACCEPT CHECK
8.1.C Coniferous 1000 m3 1.089 593.881 0.487 281.043 22.120 14105.581 23.683 13971.168 OK OK OK OK OK OK OK OK 8.1.C Coniferous 1000 m3 8.1.C Coniferous NAC/m3 545 577 638 590 ACCEPT CHECK
8.1.NC Non-Coniferous 1000 m3 7.159 4494.248 5.582 3507.403 0.769 1173.948 0.564 895.946 OK OK OK OK OK OK OK OK 8.1.NC Non-Coniferous 1000 m3 8.1.NC Non-Coniferous NAC/m3 628 628 1526 1587 CHECK CHECK
8.1.NC.T of which: Tropical 1000 m3 0.028 9.698 0.038 31.137 0.038 60.085 0.059 29.815 OK OK OK OK OK OK OK OK 8.1.NC.T of which: Tropical 1000 m3 OK OK OK OK OK OK OK OK 8.1.NC.T of which: Tropical NAC/m3 345 814 1591 507 ACCEPT CHECK
8.2 PARTICLE BOARD, ORIENTED STRANDBOARD (OSB) AND SIMILAR BOARD 1000 m3 5.499 1091.641 1.232 261.744 1.531 469.005 1.507 477.833 OK OK OK OK OK OK OK OK 8.2 PARTICLE BOARD, ORIENTED STRANDBOARD (OSB) AND SIMILAR BOARD 1000 m3 8.2 PARTICLE BOARD, ORIENTED STRANDBOARD (OSB) AND SIMILAR BOARD NAC/m3 199 212 306 317 ACCEPT CHECK
8.2.1 of which: ORIENTED STRANDBOARD (OSB) 1000 m3 0.096 20.485 0.000 1.075 0.640 172.582 0.469 126.349 OK OK OK OK OK OK OK OK 8.2.1 of which: ORIENTED STRANDBOARD (OSB) 1000 m3 OK OK OK OK OK OK OK OK 8.2.1 of which: ORIENTED STRANDBOARD (OSB) NAC/m3 214 3199 270 269 CHECK CHECK
8.3 FIBREBOARD 1000 m3 0.719 442.372 0.668 440.872 30.165 10524.553 29.644 10308.190 OK OK OK OK OK OK OK OK 8.3 FIBREBOARD 1000 m3 OK OK OK OK OK OK OK OK 8.3 FIBREBOARD NAC/m3 616 660 349 348 ACCEPT CHECK
8.3.1 HARDBOARD 1000 m3 0.200 63.872 0.198 72.626 5.692 3598.257 5.044 3301.858 OK OK OK OK OK OK OK OK 8.3.1 HARDBOARD 1000 m3 8.3.1 HARDBOARD NAC/m3 320 367 632 655 ACCEPT CHECK
8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 0.394 270.724 0.401 279.932 23.389 6517.970 23.261 6518.890 OK OK OK OK OK OK OK OK 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) NAC/m3 686 698 279 280 CHECK CHECK
8.3.3 OTHER FIBREBOARD 1000 m3 0.124 107.776 0.069 88.315 1.084 408.326 1.339 487.442 OK OK OK OK OK OK OK OK 8.3.3 OTHER FIBREBOARD 1000 m3 8.3.3 OTHER FIBREBOARD NAC/m3 866 1283 377 364 CHECK CHECK
9 WOOD PULP 1000 t 70.114 39384.092 75.635 33638.097 0.017 8.350 1.266 559.394 OK OK OK OK OK OK OK OK 9 WOOD PULP 1000 t OK OK OK OK OK OK OK OK 9 WOOD PULP NAC/t 562 445 490 442 ACCEPT CHECK
9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t 0.627 286.300 1.818 701.078 0.000 0.000 0.000 0.000 OK OK OK OK OK OK OK OK 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP NAC/t 457 386 0 0 CHECK ACCEPT
9.2 CHEMICAL WOOD PULP 1000 t 69.487 39097.792 73.806 32885.511 0.017 4.717 1.266 556.507 OK OK OK OK OK OK OK OK 9.2 CHEMICAL WOOD PULP 1000 t OK OK OK OK OK OK OK OK 9.2 CHEMICAL WOOD PULP NAC/t 563 446 282 440 ACCEPT CHECK
9.2.1 SULPHATE PULP 1000 t 69.487 39097.792 73.798 32875.128 0.000 0.156 1.122 485.934 OK OK OK OK OK OK OK OK 9.2.1 SULPHATE PULP 1000 t 9.2.1 SULPHATE PULP NAC/t 563 445 1530 433 CHECK CHECK
9.2.1.1 of which: BLEACHED 1000 t 68.573 38400.286 73.273 32565.866 0.000 0.156 1.122 485.934 OK OK OK OK OK OK OK OK 9.2.1.1 of which: BLEACHED 1000 t OK OK OK OK OK OK OK OK 9.2.1.1 of which: BLEACHED NAC/t 560 444 1530 433 CHECK CHECK
9.2.2 SULPHITE PULP 1000 t 0.000 0.000 0.007 10.383 0.017 4.561 0.143 70.574 OK OK OK OK OK OK OK OK 9.2.2 SULPHITE PULP 1000 t 9.2.2 SULPHITE PULP NAC/t 0 1459 275 492 CHECK CHECK
9.3 DISSOLVING GRADES 1000 t 0.000 0.000 0.011 51.508 0.000 3.633 0.000 2.887 OK OK OK OK OK OK OK OK 9.3 DISSOLVING GRADES 1000 t 9.3 DISSOLVING GRADES NAC/t 0 4747 10369 10489 CHECK CHECK
10 OTHER PULP 1000 t 0.027 49.529 0.000 0.000 0.010 14.546 0.005 5.906 OK OK OK OK OK OK OK OK 10 OTHER PULP 1000 t OK OK OK OK OK OK OK OK 10 OTHER PULP NAC/t 1854 0 1527 1215 CHECK CHECK
10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t 0.027 49.268 0.000 0.000 0.000 0.508 0.000 0.487 OK OK OK OK OK OK OK OK 10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t 10.1 PULP FROM FIBRES OTHER THAN WOOD NAC/t 1852 0 7778 8871 CHECK CHECK
10.2 RECOVERED FIBRE PULP 1000 t 0.000 0.261 0.000 0.000 0.009 14.038 0.005 5.419 OK OK OK OK OK OK OK OK 10.2 RECOVERED FIBRE PULP 1000 t 10.2 RECOVERED FIBRE PULP NAC/t 2247 0 1484 1128 CHECK CHECK
11 RECOVERED PAPER 1000 t 28.310 5072.359 24.213 3775.672 2.383 299.704 7.102 614.867 OK OK OK OK OK OK OK OK 11 RECOVERED PAPER 1000 t 11 RECOVERED PAPER NAC/t 179 156 126 87 ACCEPT CHECK
12 PAPER AND PAPERBOARD 1000 t 22.267 18192.552 27.726 20077.771 229.608 160403.345 235.795 154208.734 OK OK OK OK OK OK OK OK 12 PAPER AND PAPERBOARD 1000 t OK OK OK OK OK OK OK OK 12 PAPER AND PAPERBOARD NAC/t 817 724 699 654 ACCEPT CHECK
12.1 GRAPHIC PAPERS 1000 t 9.269 8591.775 13.926 10972.449 139.451 107822.737 140.529 98770.082 OK OK OK OK OK OK OK OK 12.1 GRAPHIC PAPERS 1000 t OK OK OK OK OK OK OK OK 12.1 GRAPHIC PAPERS NAC/t 927 788 773 703 ACCEPT CHECK
12.1.1 NEWSPRINT 1000 t 0.007 3.839 0.603 303.928 38.696 19886.489 34.617 13871.634 OK OK OK OK OK OK OK OK 12.1.1 NEWSPRINT 1000 t 12.1.1 NEWSPRINT NAC/t 555 504 514 401 ACCEPT CHECK
12.1.2 UNCOATED MECHANICAL 1000 t 0.000 0.358 0.026 42.093 8.883 5896.603 4.483 3264.743 OK OK OK OK OK OK OK OK 12.1.2 UNCOATED MECHANICAL 1000 t 12.1.2 UNCOATED MECHANICAL NAC/t 38445 1633 664 728 CHECK CHECK
12.1.3 UNCOATED WOODFREE 1000 t 6.440 5184.835 11.169 7982.078 40.328 36491.093 44.894 35430.570 OK OK OK OK OK OK OK OK 12.1.3 UNCOATED WOODFREE 1000 t 12.1.3 UNCOATED WOODFREE NAC/t 805 715 905 789 ACCEPT CHECK
12.1.4 COATED PAPERS 1000 t 2.822 3402.745 2.127 2644.349 51.544 45548.552 56.535 46203.135 OK OK OK OK OK OK OK OK 12.1.4 COATED PAPERS 1000 t 12.1.4 COATED PAPERS NAC/t 1206 1243 884 817 ACCEPT CHECK
12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t 0.206 213.714 0.744 711.586 0.397 284.779 0.919 990.154 OK OK OK OK OK OK OK OK 12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t 12.2 HOUSEHOLD AND SANITARY PAPERS NAC/t 1036 956 716 1077 ACCEPT CHECK
12.3 PACKAGING MATERIALS 1000 t 12.771 9089.219 13.043 8317.999 89.733 51868.534 94.319 53779.119 OK OK OK OK OK OK OK OK 12.3 PACKAGING MATERIALS 1000 t OK OK OK OK OK OK OK OK 12.3 PACKAGING MATERIALS NAC/t 712 638 578 570 ACCEPT CHECK
12.3.1 CASE MATERIALS 1000 t 1.634 1310.765 3.527 1959.101 1.711 757.527 0.693 303.803 OK OK OK OK OK OK OK OK 12.3.1 CASE MATERIALS 1000 t 12.3.1 CASE MATERIALS NAC/t 802 555 443 438 ACCEPT CHECK
12.3.2 CARTONBOARD 1000 t 8.755 6088.081 8.059 5298.910 85.747 48991.908 91.666 51378.381 OK OK OK OK OK OK OK OK 12.3.2 CARTONBOARD 1000 t 12.3.2 CARTONBOARD NAC/t 695 657 571 560 ACCEPT CHECK
12.3.3 WRAPPING PAPERS 1000 t 2.368 1671.140 1.454 1054.748 1.150 1454.721 1.829 1997.313 OK OK OK OK OK OK OK OK 12.3.3 WRAPPING PAPERS 1000 t 12.3.3 WRAPPING PAPERS NAC/t 706 725 1265 1092 ACCEPT CHECK
12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t 0.013 19.234 0.002 5.240 1.125 664.378 0.131 99.622 OK OK OK OK OK OK OK OK 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING NAC/t 1489 2241 590 762 CHECK CHECK
12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 t 0.021 297.843 0.013 75.308 0.026 427.296 0.027 669.379 OK OK OK OK OK OK OK OK 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 t 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) NAC/t 14220 5811 16164 24478 CHECK CHECK
Mechanical wood pulp, semi-chemical wood pulp and pulp from fibres other than wood 9.1+10.1 1000 t 0.653 335.569 1.818 701.078 0.000 0.508 0.000 0.487
To fill: 0 0 0 0 0 0 0 0
Text: 0 0 0 0 0 0 0 0

EU2 Removals

Country: 0 Date:
Name of Official responsible for reply: 0
Official Address (in full): Check Table
0
Phone/Fax: 0 0
E-mail: 0
EU2
Please verify if there's an error!
FOREST SECTOR QUESTIONNAIRE
Removals by type of ownership Discrepancies
Flag Flag Note Note
Product code Ownership Product code Ownership
Unit 2019 2020 2019 2020 2019 2020 Unit 2019 2020
Quantity Quantity Quantity Quantity
ROUNDWOOD REMOVALS (under bark) ROUNDWOOD REMOVALS
1 ROUNDWOOD 1000 m3 1 ROUNDWOOD 1000 m3 OK OK
1.C Coniferous 1000 m3 1.C Coniferous 1000 m3 OK OK
1.NC Non-coniferous 1000 m3 1.NC Non-coniferous 1000 m3 OK OK
State forests 1000 m3 State forests 1000 m3 OK OK
Coniferous 1000 m3 Coniferous 1000 m3
Non-coniferous 1000 m3 Non-coniferous 1000 m3
Other publicly owned forests 1000 m3 Other publicly owned forests 1000 m3 OK OK
Coniferous 1000 m3 Coniferous 1000 m3
Non-coniferous 1000 m3 Non-coniferous 1000 m3
Private forest 1000 m3 Private forest 1000 m3 OK OK
Coniferous 1000 m3 Coniferous 1000 m3
Non-coniferous 1000 m3 Non-coniferous 1000 m3
To fill: 12 12
Text: 0 0
Note:
Ownership categories correspond to those of the TBFRA.
State forests: Forests owned by national, state and regional governments, or government-owned corporations; Crown forests.
Other publicly owned forests: Forests belonging to cities, municipalities, villages and communes.
Private forests: Forests owned by individuals, co-operatives, enterprises and industries and other private institutions.
The unit should be solid cubic metres, under bark.

ITTO1-Estimates

Country: 0 Date:
Name of Official responsible for reply: 0
Official Address (in full): 0
ITTO1
Telephone: 0 Fax: 0
FOREST SECTOR QUESTIONNAIRE E-mail: 0
Production and Trade Estimates for 2021
Value must always be in 1000 NAC (national currency) 1000 NAC
Product Unit of Production Imports Exports
Code Product quantity Quantity Quantity Value Quantity Value
1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub
1.2.C Coniferous 1000 m3ub
1.2.NC Non-Coniferous 1000 m3ub
1.2.NC.T of which: Tropical 1000 m3ub
6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3
6.C Coniferous 1000 m3
6.NC Non-Coniferous 1000 m3
6.NC.T of which: Tropical 1000 m3
7 VENEER SHEETS 1000 m3
7.C Coniferous 1000 m3
7.NC Non-Coniferous 1000 m3
7.NC.T of which: Tropical 1000 m3
8.1 PLYWOOD 1000 m3
8.1.C Coniferous 1000 m3
8.1.NC Non-Coniferous 1000 m3
8.1.NC.T of which: Tropical 1000 m3
m3 = cubic metres solid volume
m3ub = cubic metres solid volume underbark (i.e. excluding bark)

ITTO2-Species

Country: 0 Date:
ITTO2 Name of Official responsible for reply: 0
Official Address (in full): 0
FOREST SECTOR QUESTIONNAIRE
Trade in Tropical Species Telephone: 0 Fax: 0
E-mail: 0
Value must always be in 1000 NAC (national currency) 1000 NAC
I M P O R T E X P O R T
Product Classifications 2019 2020 2019 2020
HS2007/HS2002/HS96 Scientific Name Local/Trade Name Quantity Value Quantity Value Quantity Value Quantity Value
(1000 m3) (1000 m3) (1000 m3) (1000 m3)
1.2.NC.T HS2017: 0.932 798.045 0.649 590.145 0.144 44.008 0.037 11.357
Industrial Roundwood, Tropical ex4403.12 4403.41/49 44034910 0.207 220.147 0.094 59.885 0.053 37.163 0.012 9.234
HS2012/2007: 44034935 0.022 17.083 0.025 22.663 0.000 0.000 0.000 0.000
ex4403.10 4403.41/49 ex4403.99 44034985 0.704 560.815 0.529 507.598 0.091 6.845 0.026 2.123
6.NC.T HS2017: 2.071 2,406.992 2.412 2,119.939 0.708 1,169.226 0.428 762.503
Sawnwood, Tropical ex4406.12/92 4407.21/22/25/26/27/28/29 44072110 0.000 0.000 0.014 8.764 0.000 0.000 0.000 0.000
44072199 0.023 21.801 0.008 7.654 0.000 0.000 0.003 3.336
HS2012/2007: 44072210 0.004 5.522 0.003 24.898 0.000 0.000 0.000 0.000
ex4406.10/90 4407.21/22/25/26/27/28/30 44072291 0.000 0.527 0.001 2.535 0.000 0.000 0.000 0.081
44072299 0.012 10.767 0.000 0.071 0.000 0.000 0.000 0.000
44072590 0.041 46.689 0.049 47.474 0.000 0.000 0.001 0.978
44072791 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
44072799 0.006 6.466 0.081 54.408 0.109 96.048 0.006 5.758
44072810 0.000 0.000 0.005 3.396 0.000 0.000 0.000 0.000
44072899 0.040 23.518 0.187 99.594 0.004 5.220 0.012 13.586
44072915 0.032 28.153 0.018 13.701 0.017 22.610 0.015 9.452
44072920 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
44072983 0.349 545.068 0.419 521.342 0.123 264.612 0.070 182.559
44072985 0.012 16.789 0.000 0.000 0.000 0.000 0.000 0.000
44072995 0.381 620.675 0.273 390.004 0.069 207.443 0.050 168.517
44072996 1.051 904.962 1.264 841.959 0.302 484.837 0.241 294.136
44072997 0.000 0.000 0.000 0.000 0.000 0.000 0.000 6.320
44072998 0.121 176.055 0.091 104.139 0.084 88.456 0.030 77.783
7.NC.T HS2017: 0.237 1,183.487 0.341 679.353 0.740 2,797.850 0.588 1,745.655
Veneer Sheets, Tropical 4408.31/39 44083915 0.004 18.622 0.001 2.392 0.088 203.130 0.081 393.284
HS2012/2007: 44083930 0.065 291.570 0.291 571.829 0.093 342.682 0.123 445.227
4408.31/39 ex4408.90 44083955 0.004 21.168 0.002 8.676 0.001 5.816 0.001 6.671
44083985 0.160 828.734 0.038 71.817 0.483 2,069.331 0.269 691.856
44083995 0.004 23.393 0.009 23.110 0.075 176.891 0.115 208.617
44083970 0.000 0.000 0.000 1.529 0.000 0.000 0.000 0.000
8.1.NC.T HS2017: 13.564 14,947.555 16.016 18,599.001 0.131 183.030 0.143 112.704
Plywood, Tropical 4412.31 ex4412.94/99 44123110 1.370 1,734.526 0.969 1,357.791 0.014 27.482 0.026 31.379
HS2012/2007: 44123190 11.835 12,898.746 14.553 16,836.968 0.039 71.934 0.102 52.656
4412.31 ex4412.32/94/99 44129950 0.359 314.282 0.494 404.242 0.078 83.613 0.015 28.669
Note: List the major species traded in each category. Use additional sheet if more species are to be explicitly reported. For tropical plywood, identify by face veneer if composed of more than one species.

ITTO3-Miscellaneous

Country: Date:
Name of Official responsible for reply:
Official Address (in full):
FOREST SECTOR QUESTIONNAIRE ITTO3
Miscellaneous Items Telephone: Fax:
(use additional paper if necessary) E-mail:
1 Please enter current import tariff rates applied to tropical and non-tropical timber products. If available, please provide tariffs by the relevant customs classification category. If tariff levels have been reported in previous years, enter changes only. (Logs = JQ code 1.2, Sawn = JQ code 6, Veneer = JQ code 7, and Plywood = JQ code 8.1)
Current import tariff Logs Tropical: Sawn Tropical: Veneer Tropical: Plywood Tropical:
Non-Tropical: Non-Tropical: Non-Tropical: Non-Tropical:
Comments (if any):
2 Please comment on any quotas, incentives, disincentives, tariff/non-tariff barriers or other related factors which now or in future will significantly affect your production and trade of tropical timber products.
3 Please elaborate on any short or medium term plans for expanding capacity for (further) processing of tropical timber products in your country.
4 Please indicate any trends or changes expected in the species composition of your trade. How important are lesser-used tropical timber species and/or minor tropical forest products?
5 Please indicate trends in domestic building activity, housing starts, mortgage/interest rates, substitution of non-tropical wood and/or non-wood products for tropical timbers, and any other domestic factors having a significant impact on tropical timber consumption in your country.
6 Please indicate the extent of foreign involvement in your timber sector (e.g. number and nationalities of concessionaires/mill (joint) owners, area of forest allocated, scale of investment, etc.).
7 Please provide details of any relevant forest law enforcement activities (e.g. legislation, fines, arrests, etc.) in your country in the past year.
8 Please indicate the current extent of forest plantations in your country (ha), annual establishment rate (ha/yr) and proportion of industrial roundwood production from plantations.

TS-OB

% Min: 80% Max: 120% Notes
JQ1 Country Flow Unit Product 2015 2016 2017 2018 2019 2019 2020 15/16 16/17 17/18 18/19 19/19 19/20 2015 2016 2017 2018
0 P.OB 1000 m3 1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P.OB 1000 m3 1_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P.OB 1000 m3 1_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P.OB 1000 m3 1_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P.OB 1000 m3 1_1_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P.OB 1000 m3 1_1_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P.OB 1000 m3 1_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P.OB 1000 m3 1_2_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P.OB 1000 m3 1_2_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P.OB 1000 m3 1_2_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P.OB 1000 m3 1_2_1_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P.OB 1000 m3 1_2_1_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P.OB 1000 m3 1_2_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P.OB 1000 m3 1_2_2_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P.OB 1000 m3 1_2_2_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P.OB 1000 m3 1_2_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P.OB 1000 m3 1_2_3_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P.OB 1000 m3 1_2_3_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!

TS-JQ1

% Min: 80% Max: 120% Notes
JQ1 Country Flow Unit Product 2015 2016 2017 2018 2019 2019 2020 15/16 16/17 17/18 18/19 19/19 19/20 2015 2016 2017 2018
0 P 1000 m3 1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 1_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 1_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 1_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 1_1_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 1_1_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 1_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 1_2_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 1_2_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 1_2_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 1_2_1_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 1_2_1_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 1_2_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 1_2_2_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 1_2_2_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 1_2_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 1_2_3_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 1_2_3_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 mt 2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 3_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 3_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 mt 4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 mt 4_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 mt 4_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 5 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 5_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 5_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 5_NC_T 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 6 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 6_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 6_1_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 6_1_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 6_1_NC_T 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 6_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 6_2_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 6_2_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 6_2_NC_T 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 6_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 6_3_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 6_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 6_4_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 6_4_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 m3 6_4_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 mt 7 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 mt 7_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 mt 7_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 mt 7_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 mt 7_3_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 mt 7_3_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 mt 7_3_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 mt 7_3_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 mt 7_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 mt 8 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 mt 8_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 mt 8_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 mt 9 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 mt 10 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 mt 10_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 mt 10_1_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 mt 10_1_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 mt 10_1_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 mt 10_1_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 mt 10_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 mt 10_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 mt 10_3_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 mt 10_3_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 mt 10_3_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 mt 10_3_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 P 1000 mt 10_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!

TS-JQ2

% Min: 80% Max: 120% Notes
JQ2 Country Flow Unit Product 2015 2016 2017 2018 2019 2019 2020 15/16 16/17 17/18 18/19 19/19 19/20 2015 2016 2017 2018
Q 0 M 1000 m3 1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 627.944 865.185 !! !! !! !! !! 137.78%
0 M 1000 NAC 1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 52672.261 65296.302 !! !! !! !! !! 123.97%
UV 0 M 1000 m3 1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 83.880 75.471 !! !! !! !! !! 89.97%
Q 0 X 1000 m3 1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1945.883 1584.207 !! !! !! !! !! 81.41%
0 X 1000 NAC 1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 153026.360 125290.068 !! !! !! !! !! 81.87%
UV 0 X 1000 m3 1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 78.641 79.087 !! !! !! !! !! 100.57%
Q 0 M 1000 m3 1_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 167.722 147.113 !! !! !! !! !! 87.71%
0 M 1000 NAC 1_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 12472.803 10568.370 !! !! !! !! !! 84.73%
UV 0 M 1000 m3 1_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 74.366 71.838 !! !! !! !! !! 96.60%
Q 0 X 1000 m3 1_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 213.208 214.677 !! !! !! !! !! 100.69%
0 X 1000 NAC 1_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 17289.543 15999.885 !! !! !! !! !! 92.54%
UV 0 X 1000 m3 1_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 81.092 74.530 !! !! !! !! !! 91.91%
Q 0 M 1000 m3 1_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 9.576 8.527 !! !! !! !! !! 89.05%
0 M 1000 NAC 1_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 301.363 344.785 !! !! !! !! !! 114.41%
UV 0 M 1000 m3 1_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 31.471 40.434 !! !! !! !! !! 128.48%
Q 0 X 1000 m3 1_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 59.583 38.316 !! !! !! !! !! 64.31%
0 X 1000 NAC 1_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 3491.212 1655.317 !! !! !! !! !! 47.41%
UV 0 X 1000 m3 1_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 58.594 43.202 !! !! !! !! !! 73.73%
Q 0 M 1000 m3 1_2_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 158.146 138.586 !! !! !! !! !! 87.63%
0 M 1000 NAC 1_2_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 12171.440 10223.586 !! !! !! !! !! 84.00%
UV 0 M 1000 m3 1_2_C ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 76.963 73.771 !! !! !! !! !! 95.85%
Q 0 X 1000 m3 1_2_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 153.625 176.361 !! !! !! !! !! 114.80%
0 X 1000 NAC 1_2_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 13798.331 14344.568 !! !! !! !! !! 103.96%
UV 0 X 1000 m3 1_2_C ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 89.819 81.336 !! !! !! !! !! 90.56%
Q 0 M 1000 m3 1_2_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 460.222 718.072 !! !! !! !! !! 156.03%
0 M 1000 NAC 1_2_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 40199.458 54727.932 !! !! !! !! !! 136.14%
UV 0 M 1000 m3 1_2_NC ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 87.348 76.215 !! !! !! !! !! 87.25%
Q 0 X 1000 m3 1_2_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1732.675 1369.531 !! !! !! !! !! 79.04%
0 X 1000 NAC 1_2_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 135736.817 109290.183 !! !! !! !! !! 80.52%
UV 0 X 1000 m3 1_2_NC ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 78.339 79.801 !! !! !! !! !! 101.87%
Q 0 M 1000 m3 1_2_NC_T 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 345.687 596.946 !! !! !! !! !! 172.68%
0 M 1000 NAC 1_2_NC_T 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 21701.328 32728.019 !! !! !! !! !! 150.81%
UV 0 M 1000 m3 1_2_NC_T ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 62.777 54.826 !! !! !! !! !! 87.33%
Q 0 X 1000 m3 1_2_NC_T 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1181.633 831.761 !! !! !! !! !! 70.39%
0 X 1000 NAC 1_2_NC_T 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 81418.035 57568.434 !! !! !! !! !! 70.71%
UV 0 X 1000 m3 1_2_NC_T ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 68.903 69.213 !! !! !! !! !! 100.45%
Q 0 M 1000 mt 2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 114.535 121.126 !! !! !! !! !! 105.75%
0 M 1000 NAC 2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 18498.130 21999.913 !! !! !! !! !! 118.93%
UV 0 M 1000 mt 2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 161.507 181.628 !! !! !! !! !! 112.46%
Q 0 X 1000 mt 2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 551.042 537.770 !! !! !! !! !! 97.59%
0 X 1000 NAC 2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 54318.783 51721.748 !! !! !! !! !! 95.22%
UV 0 X 1000 mt 2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 98.575 96.178 !! !! !! !! !! 97.57%
Q 0 M 1000 m3 3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.932 0.649 !! !! !! !! !! 69.61%
0 M 1000 NAC 3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 798.045 590.145 !! !! !! !! !! 73.95%
UV 0 M 1000 m3 3 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 855.826 909.156 !! !! !! !! !! 106.23%
Q 0 X 1000 m3 3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.144 0.037 !! !! !! !! !! 25.89%
0 X 1000 NAC 3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 44.008 11.357 !! !! !! !! !! 25.81%
UV 0 X 1000 m3 3 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 305.139 304.143 !! !! !! !! !! 99.67%
Q 0 M 1000 m3 3_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 4.227 3.663 !! !! !! !! !! 86.65%
0 M 1000 NAC 3_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 2176.348 2019.677 !! !! !! !! !! 92.80%
UV 0 M 1000 m3 3_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 514.868 551.412 !! !! !! !! !! 107.10%
Q 0 X 1000 m3 3_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1.647 0.897 !! !! !! !! !! 54.46%
0 X 1000 NAC 3_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 889.388 583.676 !! !! !! !! !! 65.63%
UV 0 X 1000 m3 3_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 540.013 650.743 !! !! !! !! !! 120.51%
Q 0 M 1000 m3 3_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 185.858 173.670 !! !! !! !! !! 93.44%
0 M 1000 NAC 3_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 6115.840 5556.901 !! !! !! !! !! 90.86%
UV 0 M 1000 m3 3_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 32.906 31.997 !! !! !! !! !! 97.24%
Q 0 X 1000 m3 3_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 963.152 844.893 !! !! !! !! !! 87.72%
0 X 1000 NAC 3_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 36186.723 28412.853 !! !! !! !! !! 78.52%
UV 0 X 1000 m3 3_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 37.571 33.629 !! !! !! !! !! 89.51%
Q 0 M 1000 mt 4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 129.812 125.146 !! !! !! !! !! 96.41%
0 M 1000 NAC 4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 4659.094 4188.887 !! !! !! !! !! 89.91%
UV 0 M 1000 mt 4 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 35.891 33.472 !! !! !! !! !! 93.26%
Q 0 X 1000 mt 4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 772.989 717.819 !! !! !! !! !! 92.86%
0 X 1000 NAC 4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 29019.332 23862.693 !! !! !! !! !! 82.23%
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Q 0 M 1000 mt 4_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 56.046 48.524 !! !! !! !! !! 86.58%
0 M 1000 NAC 4_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1456.746 1368.014 !! !! !! !! !! 93.91%
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Q 0 X 1000 mt 4_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 190.163 127.074 !! !! !! !! !! 66.82%
0 X 1000 NAC 4_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 7167.392 4550.160 !! !! !! !! !! 63.48%
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Q 0 M 1000 mt 4_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 M 1000 NAC 4_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
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Q 0 M 1000 m3 5 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 272.411 294.612 !! !! !! !! !! 108.15%
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UV 0 M 1000 m3 5 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 171.526 139.524 !! !! !! !! !! 81.34%
Q 0 X 1000 m3 5 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 254.911 244.413 !! !! !! !! !! 95.88%
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Q 0 M 1000 m3 5_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 229.473 256.776 !! !! !! !! !! 111.90%
0 M 1000 NAC 5_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 41223.962 37278.324 !! !! !! !! !! 90.43%
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Q 0 X 1000 m3 5_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 208.542 198.492 !! !! !! !! !! 95.18%
0 X 1000 NAC 5_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 41402.378 37023.405 !! !! !! !! !! 89.42%
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Q 0 M 1000 m3 5_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 42.938 37.836 !! !! !! !! !! 88.12%
0 M 1000 NAC 5_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 5501.562 3827.067 !! !! !! !! !! 69.56%
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Q 0 X 1000 m3 5_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 46.368 45.922 !! !! !! !! !! 99.04%
0 X 1000 NAC 5_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 8855.758 8140.890 !! !! !! !! !! 91.93%
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Q 0 M 1000 m3 5_NC_T 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 851.663 753.809 !! !! !! !! !! 88.51%
0 M 1000 NAC 5_NC_T 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 149551.337 126023.645 !! !! !! !! !! 84.27%
UV 0 M 1000 m3 5_NC_T ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 175.599 167.182 !! !! !! !! !! 95.21%
Q 0 X 1000 m3 5_NC_T 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1076.893 930.954 !! !! !! !! !! 86.45%
0 X 1000 NAC 5_NC_T 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 205290.997 178633.755 !! !! !! !! !! 87.01%
UV 0 X 1000 m3 5_NC_T ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 190.633 191.882 !! !! !! !! !! 100.66%
Q 0 M 1000 m3 6 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 745.389 656.042 !! !! !! !! !! 88.01%
0 M 1000 NAC 6 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 112189.598 94394.118 !! !! !! !! !! 84.14%
UV 0 M 1000 m3 6 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 150.511 143.884 !! !! !! !! !! 95.60%
Q 0 X 1000 m3 6 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 962.377 829.759 !! !! !! !! !! 86.22%
0 X 1000 NAC 6 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 158039.308 136299.314 !! !! !! !! !! 86.24%
UV 0 X 1000 m3 6 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 164.218 164.264 !! !! !! !! !! 100.03%
Q 0 M 1000 m3 6_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 106.274 97.768 !! !! !! !! !! 92.00%
0 M 1000 NAC 6_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 37361.739 31629.527 !! !! !! !! !! 84.66%
UV 0 M 1000 m3 6_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 351.561 323.517 !! !! !! !! !! 92.02%
Q 0 X 1000 m3 6_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 114.516 101.195 !! !! !! !! !! 88.37%
0 X 1000 NAC 6_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 47251.689 42334.441 !! !! !! !! !! 89.59%
UV 0 X 1000 m3 6_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 412.622 418.347 !! !! !! !! !! 101.39%
Q 0 M 1000 m3 6_1_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 2.071 2.412 !! !! !! !! !! 116.49%
0 M 1000 NAC 6_1_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 2406.992 2119.939 !! !! !! !! !! 88.07%
UV 0 M 1000 m3 6_1_C ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1162.299 878.788 !! !! !! !! !! 75.61%
Q 0 X 1000 m3 6_1_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.708 0.428 !! !! !! !! !! 60.48%
0 X 1000 NAC 6_1_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1169.228 762.503 !! !! !! !! !! 65.21%
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Q 0 M 1000 m3 6_1_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 13.550 12.269 !! !! !! !! !! 90.54%
0 M 1000 NAC 6_1_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 23509.820 20509.313 !! !! !! !! !! 87.24%
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Q 0 X 1000 m3 6_1_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 22.722 21.642 !! !! !! !! !! 95.25%
0 X 1000 NAC 6_1_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 33409.761 34292.658 !! !! !! !! !! 102.64%
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0 M 1000 NAC 6_1_NC_T 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 120.891 179.820 !! !! !! !! !! 148.75%
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Q 0 X 1000 m3 6_1_NC_T 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1.368 1.204 !! !! !! !! !! 88.02%
0 X 1000 NAC 6_1_NC_T 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1756.119 1624.717 !! !! !! !! !! 92.52%
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Q 0 M 1000 m3 6_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 13.487 12.125 !! !! !! !! !! 89.90%
0 M 1000 NAC 6_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 23388.929 20329.493 !! !! !! !! !! 86.92%
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0 X 1000 NAC 6_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 31653.642 32667.942 !! !! !! !! !! 103.20%
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Q 0 M 1000 m3 6_2_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.237 0.341 !! !! !! !! !! 143.85%
0 M 1000 NAC 6_2_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1183.487 679.353 !! !! !! !! !! 57.40%
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Q 0 X 1000 m3 6_2_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.740 0.588 !! !! !! !! !! 79.50%
0 X 1000 NAC 6_2_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 2797.850 1745.655 !! !! !! !! !! 62.39%
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Q 0 M 1000 m3 6_2_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 286.369 275.817 !! !! !! !! !! 96.32%
0 M 1000 NAC 6_2_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 112093.931 108420.021 !! !! !! !! !! 96.72%
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0 X 1000 NAC 6_2_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 104497.305 100166.823 !! !! !! !! !! 95.86%
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0 M 1000 NAC 6_2_NC_T 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 39513.112 39487.348 !! !! !! !! !! 99.93%
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Q 0 X 1000 m3 6_2_NC_T 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 72.546 78.397 !! !! !! !! !! 108.07%
0 X 1000 NAC 6_2_NC_T 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 51697.205 52056.690 !! !! !! !! !! 100.70%
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Q 0 M 1000 m3 6_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 12.361 9.155 !! !! !! !! !! 74.06%
0 M 1000 NAC 6_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 8256.251 6257.550 !! !! !! !! !! 75.79%
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Q 0 X 1000 m3 6_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 66.445 73.369 !! !! !! !! !! 110.42%
0 X 1000 NAC 6_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 43924.526 44908.938 !! !! !! !! !! 102.24%
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Q 0 M 1000 m3 6_3_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 35.016 35.691 !! !! !! !! !! 101.93%
0 M 1000 NAC 6_3_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 31256.861 33229.797 !! !! !! !! !! 106.31%
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Q 0 X 1000 m3 6_3_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 6.101 5.028 !! !! !! !! !! 82.40%
0 X 1000 NAC 6_3_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 7772.680 7147.752 !! !! !! !! !! 91.96%
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Q 0 M 1000 m3 6_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 13.564 16.016 !! !! !! !! !! 118.08%
0 M 1000 NAC 6_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 14947.555 18599.001 !! !! !! !! !! 124.43%
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Q 0 X 1000 m3 6_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.131 0.143 !! !! !! !! !! 109.11%
0 X 1000 NAC 6_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 183.030 112.704 !! !! !! !! !! 61.58%
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Q 0 M 1000 m3 6_4_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 185.728 182.308 !! !! !! !! !! 98.16%
0 M 1000 NAC 6_4_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 49890.026 47210.248 !! !! !! !! !! 94.63%
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Q 0 M 1000 m3 6_4_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 30.756 35.316 !! !! !! !! !! 114.83%
0 M 1000 NAC 6_4_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 7673.291 8081.793 !! !! !! !! !! 105.32%
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Q 0 X 1000 m3 6_4_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1.460 1.273 !! !! !! !! !! 87.24%
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0 M 1000 NAC 6_4_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 22690.793 21722.425 !! !! !! !! !! 95.73%
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Q 0 X 1000 mt 7 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 8.971 8.249 !! !! !! !! !! 91.95%
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Q 0 M 1000 mt 7_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 36.331 31.569 !! !! !! !! !! 86.89%
0 M 1000 NAC 7_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 12323.502 11290.085 !! !! !! !! !! 91.61%
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Q 0 X 1000 mt 7_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 148.175 132.366 !! !! !! !! !! 89.33%
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Q 0 M 1000 mt 7_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 8.401 8.089 !! !! !! !! !! 96.28%
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Q 0 X 1000 mt 7_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 2.161 3.386 !! !! !! !! !! 156.66%
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Q 0 M 1000 mt 7_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 237.324 288.947 !! !! !! !! !! 121.75%
0 M 1000 NAC 7_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 134514.655 127647.056 !! !! !! !! !! 94.89%
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Q 0 X 1000 mt 7_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 8.467 14.752 !! !! !! !! !! 174.24%
0 X 1000 NAC 7_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 2548.135 4667.522 !! !! !! !! !! 183.17%
UV 0 X 1000 mt 7_3 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 300.961 316.392 !! !! !! !! !! 105.13%
Q 0 M 1000 mt 7_3_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 11.461 10.496 !! !! !! !! !! 91.58%
0 M 1000 NAC 7_3_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 4749.312 3882.348 !! !! !! !! !! 81.75%
UV 0 M 1000 mt 7_3_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 414.385 369.898 !! !! !! !! !! 89.26%
Q 0 X 1000 mt 7_3_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 4.843 6.197 !! !! !! !! !! 127.96%
0 X 1000 NAC 7_3_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 312.916 384.796 !! !! !! !! !! 122.97%
UV 0 X 1000 mt 7_3_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 64.612 62.090 !! !! !! !! !! 96.10%
Q 0 M 1000 mt 7_3_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 225.840 278.440 !! !! !! !! !! 123.29%
0 M 1000 NAC 7_3_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 129740.221 123711.446 !! !! !! !! !! 95.35%
UV 0 M 1000 mt 7_3_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 574.478 444.303 !! !! !! !! !! 77.34%
Q 0 X 1000 mt 7_3_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 3.623 8.555 !! !! !! !! !! 236.10%
0 X 1000 NAC 7_3_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 2231.579 4279.839 !! !! !! !! !! 191.79%
UV 0 X 1000 mt 7_3_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 615.896 500.291 !! !! !! !! !! 81.23%
Q 0 M 1000 mt 7_3_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 223.539 271.724 !! !! !! !! !! 121.56%
0 M 1000 NAC 7_3_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 128426.500 120493.597 !! !! !! !! !! 93.82%
UV 0 M 1000 mt 7_3_3 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 574.516 443.440 !! !! !! !! !! 77.19%
Q 0 X 1000 mt 7_3_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 3.607 8.411 !! !! !! !! !! 233.22%
0 X 1000 NAC 7_3_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 2227.018 4209.265 !! !! !! !! !! 189.01%
UV 0 X 1000 mt 7_3_3 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 617.467 500.425 !! !! !! !! !! 81.04%
Q 0 M 1000 mt 7_3_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 210.974 246.984 !! !! !! !! !! 117.07%
0 M 1000 NAC 7_3_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 122014.290 111403.371 !! !! !! !! !! 91.30%
UV 0 M 1000 mt 7_3_4 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 578.338 451.055 !! !! !! !! !! 77.99%
Q 0 X 1000 mt 7_3_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1.757 6.030 !! !! !! !! !! 343.22%
0 X 1000 NAC 7_3_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1260.329 3024.983 !! !! !! !! !! 240.02%
UV 0 X 1000 mt 7_3_4 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 717.402 501.688 !! !! !! !! !! 69.93%
Q 0 M 1000 mt 7_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 2.302 6.715 !! !! !! !! !! 291.77%
0 M 1000 NAC 7_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1313.721 3217.849 !! !! !! !! !! 244.94%
UV 0 M 1000 mt 7_4 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 570.794 479.188 !! !! !! !! !! 83.95%
Q 0 X 1000 mt 7_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.017 0.143 !! !! !! !! !! 863.28%
0 X 1000 NAC 7_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 4.561 70.574 !! !! !! !! !! 1547.43%
UV 0 X 1000 mt 7_4 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 274.742 492.475 !! !! !! !! !! 179.25%
Q 0 M 1000 mt 8 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.023 0.012 !! !! !! !! !! 51.29%
0 M 1000 NAC 8 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 25.122 53.262 !! !! !! !! !! 212.01%
UV 0 M 1000 mt 8 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1102.969 4559.609 !! !! !! !! !! 413.39%
Q 0 X 1000 mt 8 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! 78.09%
0 X 1000 NAC 8 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 3.640 2.887 !! !! !! !! !! 79.31%
UV 0 X 1000 mt 8 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 10327.877 10489.155 !! !! !! !! !! 101.56%
Q 0 M 1000 mt 8_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.652 0.583 !! !! !! !! !! 89.43%
0 M 1000 NAC 8_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 813.446 584.143 !! !! !! !! !! 71.81%
UV 0 M 1000 mt 8_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1248.024 1002.135 !! !! !! !! !! 80.30%
Q 0 X 1000 mt 8_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.013 0.010 !! !! !! !! !! 77.95%
0 X 1000 NAC 8_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 38.620 33.951 !! !! !! !! !! 87.91%
UV 0 X 1000 mt 8_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 3030.050 3417.243 !! !! !! !! !! 112.78%
Q 0 M 1000 mt 8_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.288 0.173 !! !! !! !! !! 60.04%
0 M 1000 NAC 8_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 540.961 273.723 !! !! !! !! !! 50.60%
UV 0 M 1000 mt 8_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1879.279 1583.739 !! !! !! !! !! 84.27%
Q 0 X 1000 mt 8_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.002 0.002 !! !! !! !! !! 102.01%
0 X 1000 NAC 8_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 23.082 25.222 !! !! !! !! !! 109.27%
UV 0 X 1000 mt 8_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 12776.282 13686.056 !! !! !! !! !! 107.12%
Q 0 M 1000 mt 9 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.364 0.410 !! !! !! !! !! 112.68%
0 M 1000 NAC 9 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 272.485 310.420 !! !! !! !! !! 113.92%
UV 0 M 1000 mt 9 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 748.726 757.002 !! !! !! !! !! 101.11%
Q 0 X 1000 mt 9 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.011 0.008 !! !! !! !! !! 73.98%
0 X 1000 NAC 9 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 15.538 8.729 !! !! !! !! !! 56.18%
UV 0 X 1000 mt 9 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1420.385 1078.688 !! !! !! !! !! 75.94%
Q 0 M 1000 mt 10 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 260.094 239.313 !! !! !! !! !! 92.01%
0 M 1000 NAC 10 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 46355.320 39007.720 !! !! !! !! !! 84.15%
UV 0 M 1000 mt 10 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 178.226 162.999 !! !! !! !! !! 91.46%
Q 0 X 1000 mt 10 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 148.458 148.109 !! !! !! !! !! 99.76%
0 X 1000 NAC 10 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 14879.561 12471.040 !! !! !! !! !! 83.81%
UV 0 X 1000 mt 10 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 100.227 84.202 !! !! !! !! !! 84.01%
Q 0 M 1000 mt 10_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 712.896 756.394 !! !! !! !! !! 106.10%
0 M 1000 NAC 10_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 418124.915 382526.699 !! !! !! !! !! 91.49%
UV 0 M 1000 mt 10_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 586.516 505.724 !! !! !! !! !! 86.23%
Q 0 X 1000 mt 10_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 642.154 629.984 !! !! !! !! !! 98.10%
0 X 1000 NAC 10_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 461498.577 430824.779 !! !! !! !! !! 93.35%
UV 0 X 1000 mt 10_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 718.673 683.866 !! !! !! !! !! 95.16%
Q 0 M 1000 mt 10_1_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 249.825 211.582 !! !! !! !! !! 84.69%
0 M 1000 NAC 10_1_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 162556.943 127952.565 !! !! !! !! !! 78.71%
UV 0 M 1000 mt 10_1_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 650.683 604.743 !! !! !! !! !! 92.94%
Q 0 X 1000 mt 10_1_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 397.301 379.932 !! !! !! !! !! 95.63%
0 X 1000 NAC 10_1_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 299115.283 268068.456 !! !! !! !! !! 89.62%
UV 0 X 1000 mt 10_1_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 752.868 705.569 !! !! !! !! !! 93.72%
Q 0 M 1000 mt 10_1_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 17.516 19.300 !! !! !! !! !! 110.18%
0 M 1000 NAC 10_1_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 9515.007 8731.084 !! !! !! !! !! 91.76%
UV 0 M 1000 mt 10_1_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 543.207 452.394 !! !! !! !! !! 83.28%
Q 0 X 1000 mt 10_1_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 136.607 114.111 !! !! !! !! !! 83.53%
0 X 1000 NAC 10_1_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 67747.670 46513.503 !! !! !! !! !! 68.66%
UV 0 X 1000 mt 10_1_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 495.933 407.618 !! !! !! !! !! 82.19%
Q 0 M 1000 mt 10_1_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 49.026 42.787 !! !! !! !! !! 87.27%
0 M 1000 NAC 10_1_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 27763.295 21825.561 !! !! !! !! !! 78.61%
UV 0 M 1000 mt 10_1_3 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 566.294 510.096 !! !! !! !! !! 90.08%
Q 0 X 1000 mt 10_1_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 20.143 13.210 !! !! !! !! !! 65.58%
0 X 1000 NAC 10_1_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 13033.051 8438.422 !! !! !! !! !! 64.75%
UV 0 X 1000 mt 10_1_3 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 647.017 638.788 !! !! !! !! !! 98.73%
Q 0 M 1000 mt 10_1_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 114.497 90.337 !! !! !! !! !! 78.90%
0 M 1000 NAC 10_1_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 78951.727 57307.283 !! !! !! !! !! 72.59%
UV 0 M 1000 mt 10_1_4 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 689.555 634.371 !! !! !! !! !! 92.00%
Q 0 X 1000 mt 10_1_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 94.243 100.864 !! !! !! !! !! 107.03%
0 X 1000 NAC 10_1_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 80908.027 78462.751 !! !! !! !! !! 96.98%
UV 0 X 1000 mt 10_1_4 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 858.502 777.904 !! !! !! !! !! 90.61%
Q 0 M 1000 mt 10_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 68.786 59.158 !! !! !! !! !! 86.00%
0 M 1000 NAC 10_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 46326.914 40088.637 !! !! !! !! !! 86.53%
UV 0 M 1000 mt 10_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 673.496 677.657 !! !! !! !! !! 100.62%
Q 0 X 1000 mt 10_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 146.308 151.747 !! !! !! !! !! 103.72%
0 X 1000 NAC 10_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 137426.536 134653.779 !! !! !! !! !! 97.98%
UV 0 X 1000 mt 10_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 939.295 887.355 !! !! !! !! !! 94.47%
Q 0 M 1000 mt 10_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 8.631 9.836 !! !! !! !! !! 113.95%
0 M 1000 NAC 10_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 9934.264 9843.252 !! !! !! !! !! 99.08%
UV 0 M 1000 mt 10_3 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1150.936 1000.747 !! !! !! !! !! 86.95%
Q 0 X 1000 mt 10_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 4.612 5.647 !! !! !! !! !! 122.44%
0 X 1000 NAC 10_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 4345.552 5217.710 !! !! !! !! !! 120.07%
UV 0 X 1000 mt 10_3 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 942.258 924.000 !! !! !! !! !! 98.06%
Q 0 M 1000 mt 10_3_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 453.670 534.336 !! !! !! !! !! 117.78%
0 M 1000 NAC 10_3_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 240731.486 241251.362 !! !! !! !! !! 100.22%
UV 0 M 1000 mt 10_3_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 530.631 451.498 !! !! !! !! !! 85.09%
Q 0 X 1000 mt 10_3_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 240.030 244.244 !! !! !! !! !! 101.76%
0 X 1000 NAC 10_3_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 152938.187 154186.913 !! !! !! !! !! 100.82%
UV 0 X 1000 mt 10_3_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 637.164 631.283 !! !! !! !! !! 99.08%
Q 0 M 1000 mt 10_3_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 219.726 263.766 !! !! !! !! !! 120.04%
0 M 1000 NAC 10_3_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 74065.355 76461.657 !! !! !! !! !! 103.24%
UV 0 M 1000 mt 10_3_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 337.080 289.885 !! !! !! !! !! 86.00%
Q 0 X 1000 mt 10_3_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1.836 0.856 !! !! !! !! !! 46.63%
0 X 1000 NAC 10_3_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 857.172 389.281 !! !! !! !! !! 45.41%
UV 0 X 1000 mt 10_3_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 466.969 454.762 !! !! !! !! !! 97.39%
Q 0 M 1000 mt 10_3_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 73.239 82.161 !! !! !! !! !! 112.18%
0 M 1000 NAC 10_3_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 37063.725 40959.299 !! !! !! !! !! 110.51%
UV 0 M 1000 mt 10_3_3 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 506.063 498.526 !! !! !! !! !! 98.51%
Q 0 X 1000 mt 10_3_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 234.590 238.670 !! !! !! !! !! 101.74%
0 X 1000 NAC 10_3_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 148099.951 148370.172 !! !! !! !! !! 100.18%
UV 0 X 1000 mt 10_3_3 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 631.315 621.653 !! !! !! !! !! 98.47%
Q 0 M 1000 mt 10_3_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 156.625 183.829 !! !! !! !! !! 117.37%
0 M 1000 NAC 10_3_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 127702.641 121657.847 !! !! !! !! !! 95.27%
UV 0 M 1000 mt 10_3_4 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 815.340 661.798 !! !! !! !! !! 81.17%
Q 0 X 1000 mt 10_3_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 2.290 4.443 !! !! !! !! !! 194.03%
0 X 1000 NAC 10_3_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 3206.379 5237.026 !! !! !! !! !! 163.33%
UV 0 X 1000 mt 10_3_4 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1400.382 1178.829 !! !! !! !! !! 84.18%
Q 0 M 1000 mt 10_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 4.079 4.580 !! !! !! !! !! 112.27%
0 M 1000 NAC 10_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1899.766 2172.559 !! !! !! !! !! 114.36%
UV 0 M 1000 mt 10_4 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 465.711 474.380 !! !! !! !! !! 101.86%
Q 0 X 1000 mt 10_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1.315 0.275 !! !! !! !! !! 20.89%
0 X 1000 NAC 10_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 774.685 190.435 !! !! !! !! !! 24.58%
UV 0 X 1000 mt 10_4 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 589.187 693.235 !! !! !! !! !! 117.66%

TS-JQ3

% Min: 80% Max: 120% Notes
JQ3 Country Flow Unit Product 2015 2016 2017 2018 2019 2019 2020 15/16 16/17 17/18 18/19 19/19 19/20 2015 2016 2017 2018
0 M 1000 NAC 11_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 M 1000 NAC 11_1_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 M 1000 NAC 11_1_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 M 1000 NAC 11_1_NC_T 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 M 1000 NAC 11_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 M 1000 NAC 11_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 M 1000 NAC 11_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 M 1000 NAC 11_5 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 M 1000 NAC 11_6 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 M 1000 NAC 11_7 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 M 1000 NAC 11_7_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 M 1000 NAC 12_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 M 1000 NAC 12_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 M 1000 NAC 12_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 M 1000 NAC 12_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 M 1000 NAC 12_5 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 M 1000 NAC 12_6 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 M 1000 NAC 12_6_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 M 1000 NAC 12_6_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 M 1000 NAC 12_6_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 M 1000 NAC 12_7 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 M 1000 NAC 12_7_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 M 1000 NAC 12_7_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 M 1000 NAC 12_7_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 X 1000 NAC 11_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 X 1000 NAC 11_1_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 X 1000 NAC 11_1_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 X 1000 NAC 11_1_NC_T 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 X 1000 NAC 11_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 X 1000 NAC 11_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 X 1000 NAC 11_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 X 1000 NAC 11_5 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 X 1000 NAC 11_6 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 X 1000 NAC 11_7 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 X 1000 NAC 11_7_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 X 1000 NAC 12_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 X 1000 NAC 12_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 X 1000 NAC 12_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 X 1000 NAC 12_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 X 1000 NAC 12_5 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 X 1000 NAC 12_6 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 X 1000 NAC 12_6_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 X 1000 NAC 12_6_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
0 X 1000 NAC 12_6_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!

TS-ECEEU

% Min: 80% Max: 120% Notes
ECEEU Country Flow Unit Product 2015 2016 2017 2018 2019 2019 2020 15/16 16/17 17/18 18/19 19/19 19/20 2015 2016 2017 2018
Q 0 M 1000 m3 ST_1_2_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 345.687 596.946 !! !! !! !! !! 172.68%
0 M 1000 NAC ST_1_2_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 21701.328 32728.019 !! !! !! !! !! 150.81%
UV 0 M 1000 m3 ST_1_2_C ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 62.777 54.826 !! !! !! !! !! 87.33%
Q 0 X 1000 m3 ST_1_2_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1181.633 831.761 !! !! !! !! !! 70.39%
0 X 1000 NAC ST_1_2_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 81418.035 57568.434 !! !! !! !! !! 70.71%
UV 0 X 1000 m3 ST_1_2_C ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 68.903 69.213 !! !! !! !! !! 100.45%
Q 0 M 1000 m3 ST_1_2_C_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 314.157 551.324 !! !! !! !! !! 175.49%
0 M 1000 NAC ST_1_2_C_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 18278.334 29077.645 !! !! !! !! !! 159.08%
UV 0 M 1000 m3 ST_1_2_C_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 58.182 52.742 !! !! !! !! !! 90.65%
Q 0 X 1000 m3 ST_1_2_C_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1066.293 741.889 !! !! !! !! !! 69.58%
0 X 1000 NAC ST_1_2_C_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 72040.530 50330.451 !! !! !! !! !! 69.86%
UV 0 X 1000 m3 ST_1_2_C_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 67.562 67.841 !! !! !! !! !! 100.41%
Q 0 M 1000 m3 ST_1_2_C_1_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 106.710 349.009 !! !! !! !! !! 327.06%
0 M 1000 NAC ST_1_2_C_1_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 5841.627 18134.783 !! !! !! !! !! 310.44%
UV 0 M 1000 m3 ST_1_2_C_1_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 54.743 51.961 !! !! !! !! !! 94.92%
Q 0 X 1000 m3 ST_1_2_C_1_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 737.843 497.940 !! !! !! !! !! 67.49%
0 X 1000 NAC ST_1_2_C_1_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 52662.071 37663.386 !! !! !! !! !! 71.52%
UV 0 X 1000 m3 ST_1_2_C_1_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 71.373 75.638 !! !! !! !! !! 105.98%
Q 0 M 1000 m3 ST_1_2_C_1_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 3.126 1.790 !! !! !! !! !! 57.27%
0 M 1000 NAC ST_1_2_C_1_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 111.237 102.233 !! !! !! !! !! 91.91%
UV 0 M 1000 m3 ST_1_2_C_1_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 35.588 57.113 !! !! !! !! !! 160.49%
Q 0 X 1000 m3 ST_1_2_C_1_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 6.919 9.125 !! !! !! !! !! 131.88%
0 X 1000 NAC ST_1_2_C_1_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 358.507 512.103 !! !! !! !! !! 142.84%
UV 0 X 1000 m3 ST_1_2_C_1_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 51.813 56.120 !! !! !! !! !! 108.31%
Q 0 M 1000 m3 ST_1_2_C_1_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 M 1000 NAC ST_1_2_C_1_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
UV 0 M 1000 m3 ST_1_2_C_1_3 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#DIV/0! ERROR:#DIV/0! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_1_2_C_1_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 X 1000 NAC ST_1_2_C_1_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
UV 0 X 1000 m3 ST_1_2_C_1_3 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#DIV/0! ERROR:#DIV/0! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_1_2_C_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 5.107 4.047 !! !! !! !! !! 79.24%
0 M 1000 NAC ST_1_2_C_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 399.644 318.684 !! !! !! !! !! 79.74%
UV 0 M 1000 m3 ST_1_2_C_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 78.250 78.745 !! !! !! !! !! 100.63%
Q 0 X 1000 m3 ST_1_2_C_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 25.412 15.134 !! !! !! !! !! 59.56%
0 X 1000 NAC ST_1_2_C_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1224.743 753.063 !! !! !! !! !! 61.49%
UV 0 X 1000 m3 ST_1_2_C_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 48.195 49.758 !! !! !! !! !! 103.24%
Q 0 M 1000 m3 ST_1_2_C_2_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 207.447 202.315 !! !! !! !! !! 97.53%
0 M 1000 NAC ST_1_2_C_2_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 12436.707 10942.863 !! !! !! !! !! 87.99%
UV 0 M 1000 m3 ST_1_2_C_2_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 59.951 54.088 !! !! !! !! !! 90.22%
Q 0 X 1000 m3 ST_1_2_C_2_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 328.450 243.948 !! !! !! !! !! 74.27%
0 X 1000 NAC ST_1_2_C_2_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 19378.459 12667.065 !! !! !! !! !! 65.37%
UV 0 X 1000 m3 ST_1_2_C_2_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 59.000 51.925 !! !! !! !! !! 88.01%
Q 0 M 1000 m3 ST_1_2_C_2_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1.982 2.257 !! !! !! !! !! 113.90%
0 M 1000 NAC ST_1_2_C_2_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 288.407 216.451 !! !! !! !! !! 75.05%
UV 0 M 1000 m3 ST_1_2_C_2_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 145.546 95.900 !! !! !! !! !! 65.89%
Q 0 X 1000 m3 ST_1_2_C_2_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 18.493 6.009 !! !! !! !! !! 32.50%
0 X 1000 NAC ST_1_2_C_2_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 866.236 240.960 !! !! !! !! !! 27.82%
UV 0 X 1000 m3 ST_1_2_C_2_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 46.841 40.097 !! !! !! !! !! 85.60%
Q 0 M 1000 m3 ST_1_2_C_2_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 M 1000 NAC ST_1_2_C_2_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
UV 0 M 1000 m3 ST_1_2_C_2_3 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#DIV/0! ERROR:#DIV/0! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_1_2_C_2_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 X 1000 NAC ST_1_2_C_2_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
UV 0 X 1000 m3 ST_1_2_C_2_3 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#DIV/0! ERROR:#DIV/0! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_1_2_C_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 M 1000 NAC ST_1_2_C_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
UV 0 M 1000 m3 ST_1_2_C_3 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#DIV/0! ERROR:#DIV/0! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_1_2_C_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 X 1000 NAC ST_1_2_C_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
UV 0 X 1000 m3 ST_1_2_C_3 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#DIV/0! ERROR:#DIV/0! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_1_2_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 114.535 121.126 !! !! !! !! !! 105.75%
0 M 1000 NAC ST_1_2_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 18498.130 21999.913 !! !! !! !! !! 118.93%
UV 0 M 1000 m3 ST_1_2_NC ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 161.507 181.628 !! !! !! !! !! 112.46%
Q 0 X 1000 m3 ST_1_2_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 551.042 537.770 !! !! !! !! !! 97.59%
0 X 1000 NAC ST_1_2_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 54318.783 51721.748 !! !! !! !! !! 95.22%
UV 0 X 1000 m3 ST_1_2_NC ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 98.575 96.178 !! !! !! !! !! 97.57%
Q 0 M 1000 m3 ST_1_2_NC_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 15.615 33.037 !! !! !! !! !! 211.57%
0 M 1000 NAC ST_1_2_NC_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 7229.834 13185.543 !! !! !! !! !! 182.38%
UV 0 M 1000 m3 ST_1_2_NC_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 462.994 399.117 !! !! !! !! !! 86.20%
Q 0 X 1000 m3 ST_1_2_NC_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 70.500 84.591 !! !! !! !! !! 119.99%
0 X 1000 NAC ST_1_2_NC_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 15996.077 19288.478 !! !! !! !! !! 120.58%
UV 0 X 1000 m3 ST_1_2_NC_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 226.895 228.021 !! !! !! !! !! 100.50%
Q 0 M 1000 m3 ST_1_2_NC_1_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 37.099 40.349 !! !! !! !! !! 108.76%
0 M 1000 NAC ST_1_2_NC_1_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1939.677 2201.598 !! !! !! !! !! 113.50%
UV 0 M 1000 m3 ST_1_2_NC_1_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 52.284 54.564 !! !! !! !! !! 104.36%
Q 0 X 1000 m3 ST_1_2_NC_1_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 349.196 364.258 !! !! !! !! !! 104.31%
0 X 1000 NAC ST_1_2_NC_1_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 23737.711 22852.069 !! !! !! !! !! 96.27%
UV 0 X 1000 m3 ST_1_2_NC_1_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 67.978 62.736 !! !! !! !! !! 92.29%
Q 0 M 1000 m3 ST_1_2_NC_1_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.033 0.014 !! !! !! !! !! 42.77%
0 M 1000 NAC ST_1_2_NC_1_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 12.521 8.208 !! !! !! !! !! 65.55%
UV 0 M 1000 m3 ST_1_2_NC_1_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 380.005 582.353 !! !! !! !! !! 153.25%
Q 0 X 1000 m3 ST_1_2_NC_1_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 X 1000 NAC ST_1_2_NC_1_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
UV 0 X 1000 m3 ST_1_2_NC_1_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#DIV/0! ERROR:#DIV/0! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_1_2_NC_1_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 745.389 656.042 !! !! !! !! !! 88.01%
0 M 1000 NAC ST_1_2_NC_1_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 112189.598 94394.118 !! !! !! !! !! 84.14%
UV 0 M 1000 m3 ST_1_2_NC_1_3 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 150.511 143.884 !! !! !! !! !! 95.60%
Q 0 X 1000 m3 ST_1_2_NC_1_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 962.377 829.759 !! !! !! !! !! 86.22%
0 X 1000 NAC ST_1_2_NC_1_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 158039.308 136299.314 !! !! !! !! !! 86.24%
UV 0 X 1000 m3 ST_1_2_NC_1_3 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 164.218 164.264 !! !! !! !! !! 100.03%
Q 0 M 1000 m3 ST_1_2_NC_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.041 0.053 !! !! !! !! !! 129.02%
0 M 1000 NAC ST_1_2_NC_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 18.460 23.014 !! !! !! !! !! 124.67%
UV 0 M 1000 m3 ST_1_2_NC_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 450.834 435.632 !! !! !! !! !! 96.63%
Q 0 X 1000 m3 ST_1_2_NC_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.018 0.074 !! !! !! !! !! 403.54%
0 X 1000 NAC ST_1_2_NC_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.926 7.786 !! !! !! !! !! 840.47%
UV 0 X 1000 m3 ST_1_2_NC_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 50.696 105.588 !! !! !! !! !! 208.27%
Q 0 M 1000 m3 ST_1_2_NC_2_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.074 0.067 !! !! !! !! !! 90.56%
0 M 1000 NAC ST_1_2_NC_2_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 30.981 31.222 !! !! !! !! !! 100.78%
UV 0 M 1000 m3 ST_1_2_NC_2_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 419.251 466.533 !! !! !! !! !! 111.28%
Q 0 X 1000 m3 ST_1_2_NC_2_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.018 0.074 !! !! !! !! !! 403.54%
0 X 1000 NAC ST_1_2_NC_2_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.926 7.786 !! !! !! !! !! 840.47%
UV 0 X 1000 m3 ST_1_2_NC_2_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 50.696 105.588 !! !! !! !! !! 208.27%
Q 0 M 1000 m3 ST_1_2_NC_2_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 12.092 11.265 !! !! !! !! !! 93.16%
0 M 1000 NAC ST_1_2_NC_2_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 820.601 638.699 !! !! !! !! !! 77.83%
UV 0 M 1000 m3 ST_1_2_NC_2_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 67.864 56.700 !! !! !! !! !! 83.55%
Q 0 X 1000 m3 ST_1_2_NC_2_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.578 0.082 !! !! !! !! !! 14.15%
0 X 1000 NAC ST_1_2_NC_2_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 59.584 38.463 !! !! !! !! !! 64.55%
UV 0 X 1000 m3 ST_1_2_NC_2_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 103.044 470.078 !! !! !! !! !! 456.19%
Q 0 M 1000 m3 ST_1_2_NC_2_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 727.016 636.468 !! !! !! !! !! 87.55%
0 M 1000 NAC ST_1_2_NC_2_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 105687.828 88312.679 !! !! !! !! !! 83.56%
UV 0 M 1000 m3 ST_1_2_NC_2_3 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 145.372 138.754 !! !! !! !! !! 95.45%
Q 0 X 1000 m3 ST_1_2_NC_2_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 902.557 799.039 !! !! !! !! !! 88.53%
0 X 1000 NAC ST_1_2_NC_2_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 147281.645 130545.120 !! !! !! !! !! 88.64%
UV 0 X 1000 m3 ST_1_2_NC_2_3 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 163.183 163.378 !! !! !! !! !! 100.12%
Q 0 M 1000 m3 ST_1_2_NC_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.001 0.000 !! !! !! !! !! 0.00%
0 M 1000 NAC ST_1_2_NC_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 7.730 0.000 !! !! !! !! !! 0.00%
UV 0 M 1000 m3 ST_1_2_NC_3 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 7591.738 ERROR:#DIV/0! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_1_2_NC_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 X 1000 NAC ST_1_2_NC_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
UV 0 X 1000 m3 ST_1_2_NC_3 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#DIV/0! ERROR:#DIV/0! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_1_2_NC_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 2.641 4.759 !! !! !! !! !! 180.24%
0 M 1000 NAC ST_1_2_NC_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 859.160 973.627 !! !! !! !! !! 113.32%
UV 0 M 1000 m3 ST_1_2_NC_4 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 325.377 204.578 !! !! !! !! !! 62.87%
Q 0 X 1000 m3 ST_1_2_NC_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 43.357 19.787 !! !! !! !! !! 45.64%
0 X 1000 NAC ST_1_2_NC_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 7395.365 3349.576 !! !! !! !! !! 45.29%
UV 0 X 1000 m3 ST_1_2_NC_4 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 170.570 169.285 !! !! !! !! !! 99.25%
Q 0 M 1000 m3 ST_1_2_NC_5 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 106.274 97.768 !! !! !! !! !! 92.00%
0 M 1000 NAC ST_1_2_NC_5 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 37361.739 31629.527 !! !! !! !! !! 84.66%
UV 0 M 1000 m3 ST_1_2_NC_5 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 351.561 323.517 !! !! !! !! !! 92.02%
Q 0 X 1000 m3 ST_1_2_NC_5 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 114.516 101.195 !! !! !! !! !! 88.37%
0 X 1000 NAC ST_1_2_NC_5 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 47251.689 42334.441 !! !! !! !! !! 89.59%
UV 0 X 1000 m3 ST_1_2_NC_5 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 412.622 418.347 !! !! !! !! !! 101.39%
Q 0 M 1000 m3 ST_5_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 37.948 38.929 !! !! !! !! !! 102.59%
0 M 1000 NAC ST_5_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 15473.408 13881.481 !! !! !! !! !! 89.71%
UV 0 M 1000 m3 ST_5_C ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 407.749 356.580 !! !! !! !! !! 87.45%
Q 0 X 1000 m3 ST_5_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 31.781 25.826 !! !! !! !! !! 81.26%
0 X 1000 NAC ST_5_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 20134.227 16675.668 !! !! !! !! !! 82.82%
UV 0 X 1000 m3 ST_5_C ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 633.534 645.701 !! !! !! !! !! 101.92%
Q 0 M 1000 m3 ST_5_C_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 39.332 32.677 !! !! !! !! !! 83.08%
0 M 1000 NAC ST_5_C_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 8789.584 7106.330 !! !! !! !! !! 80.85%
UV 0 M 1000 m3 ST_5_C_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 223.473 217.473 !! !! !! !! !! 97.32%
Q 0 X 1000 m3 ST_5_C_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 73.381 65.431 !! !! !! !! !! 89.17%
0 X 1000 NAC ST_5_C_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 20549.949 19173.252 !! !! !! !! !! 93.30%
UV 0 X 1000 m3 ST_5_C_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 280.043 293.032 !! !! !! !! !! 104.64%
Q 0 M 1000 m3 ST_5_C_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.228 0.139 !! !! !! !! !! 60.87%
0 M 1000 NAC ST_5_C_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 81.241 60.022 !! !! !! !! !! 73.88%
UV 0 M 1000 m3 ST_5_C_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 356.739 432.973 !! !! !! !! !! 121.37%
Q 0 X 1000 m3 ST_5_C_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.145 0.127 !! !! !! !! !! 87.83%
0 X 1000 NAC ST_5_C_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 65.656 62.701 !! !! !! !! !! 95.50%
UV 0 X 1000 m3 ST_5_C_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 453.683 493.275 !! !! !! !! !! 108.73%
Q 0 M 1000 m3 ST_5_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.237 0.098 !! !! !! !! !! 41.38%
0 M 1000 NAC ST_5_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 90.906 61.144 !! !! !! !! !! 67.26%
UV 0 M 1000 m3 ST_5_NC ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 383.527 623.413 !! !! !! !! !! 162.55%
Q 0 X 1000 m3 ST_5_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.027 0.005 !! !! !! !! !! 17.89%
0 X 1000 NAC ST_5_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 12.923 6.919 !! !! !! !! !! 53.54%
UV 0 X 1000 m3 ST_5_NC ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 476.652 1426.721 !! !! !! !! !! 299.32%
Q 0 M 1000 m3 ST_5_NC_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 11.550 11.019 !! !! !! !! !! 95.40%
0 M 1000 NAC ST_5_NC_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 3842.729 3080.196 !! !! !! !! !! 80.16%
UV 0 M 1000 m3 ST_5_NC_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 332.700 279.544 !! !! !! !! !! 84.02%
Q 0 X 1000 m3 ST_5_NC_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 4.586 4.285 !! !! !! !! !! 93.45%
0 X 1000 NAC ST_5_NC_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 2020.085 2070.049 !! !! !! !! !! 102.47%
UV 0 X 1000 m3 ST_5_NC_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 440.520 483.077 !! !! !! !! !! 109.66%
Q 0 M 1000 m3 ST_5_NC_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 5.147 3.042 !! !! !! !! !! 59.10%
0 M 1000 NAC ST_5_NC_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 2926.777 1718.417 !! !! !! !! !! 58.71%
UV 0 M 1000 m3 ST_5_NC_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 568.630 564.918 !! !! !! !! !! 99.35%
Q 0 X 1000 m3 ST_5_NC_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.155 0.136 !! !! !! !! !! 87.53%
0 X 1000 NAC ST_5_NC_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 70.276 85.747 !! !! !! !! !! 122.02%
UV 0 X 1000 m3 ST_5_NC_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 452.799 631.217 !! !! !! !! !! 139.40%
Q 0 M 1000 m3 ST_5_NC_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.210 0.538 !! !! !! !! !! 255.73%
0 M 1000 NAC ST_5_NC_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 119.364 303.016 !! !! !! !! !! 253.86%
UV 0 M 1000 m3 ST_5_NC_3 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 567.508 563.355 !! !! !! !! !! 99.27%
Q 0 X 1000 m3 ST_5_NC_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.193 0.562 !! !! !! !! !! 291.55%
0 X 1000 NAC ST_5_NC_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 107.137 306.549 !! !! !! !! !! 286.13%
UV 0 X 1000 m3 ST_5_NC_3 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 556.099 545.761 !! !! !! !! !! 98.14%
Q 0 M 1000 m3 ST_5_NC_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 M 1000 NAC ST_5_NC_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
UV 0 M 1000 m3 ST_5_NC_4 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#DIV/0! ERROR:#DIV/0! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_5_NC_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 X 1000 NAC ST_5_NC_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
UV 0 X 1000 m3 ST_5_NC_4 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#DIV/0! ERROR:#DIV/0! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_5_NC_5 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 M 1000 NAC ST_5_NC_5 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
UV 0 M 1000 m3 ST_5_NC_5 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#DIV/0! ERROR:#DIV/0! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_5_NC_5 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 X 1000 NAC ST_5_NC_5 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
UV 0 X 1000 m3 ST_5_NC_5 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#DIV/0! ERROR:#DIV/0! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_5_NC_6 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 3.000 3.000 !! !! !! !! !! 100.00%
0 M 1000 NAC ST_5_NC_6 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 3.000 3.000 !! !! !! !! !! 100.00%
UV 0 M 1000 m3 ST_5_NC_6 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1.000 1.000 !! !! !! !! !! 100.00%
Q 0 X 1000 m3 ST_5_NC_6 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 3.000 3.000 !! !! !! !! !! 100.00%
0 X 1000 NAC ST_5_NC_6 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 3.000 3.000 !! !! !! !! !! 100.00%
UV 0 X 1000 m3 ST_5_NC_6 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1.000 1.000 !! !! !! !! !! 100.00%
Q 0 M 1000 m3 ST_5_NC_7 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 M 1000 NAC ST_5_NC_7 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
UV 0 M 1000 m3 ST_5_NC_7 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#DIV/0! ERROR:#DIV/0! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_5_NC_7 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 X 1000 NAC ST_5_NC_7 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
UV 0 X 1000 m3 ST_5_NC_7 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#DIV/0! ERROR:#DIV/0! !! !! !! !! !! !!

TS-EU1

% Min: 80% Max: 120% Notes
EU1 Country Flow Unit Product 2015 2016 2017 2018 2019 2019 2020 15/16 16/17 17/18 18/19 19/19 19/20 2015 2016 2017 2018
Q 0 EX_M 1000 m3 1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 109.555 90.336 !! !! !! !! !! 82.46%
0 EX_M 1000 NAC 1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 12004.185 9295.734 !! !! !! !! !! 77.44%
UV 0 EX_M 1000 m3 1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 109.572 102.901 !! !! !! !! !! 93.91%
Q 0 EX_X 1000 m3 1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 208.432 192.390 !! !! !! !! !! 92.30%
0 EX_X 1000 NAC 1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 26279.427 29761.654 !! !! !! !! !! 113.25%
UV 0 EX_X 1000 m3 1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 126.081 154.695 !! !! !! !! !! 122.69%
Q 0 EX_M 1000 m3 1_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 97.922 80.727 !! !! !! !! !! 82.44%
0 EX_M 1000 NAC 1_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 9380.996 7292.512 !! !! !! !! !! 77.74%
UV 0 EX_M 1000 m3 1_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 95.800 90.335 !! !! !! !! !! 94.30%
Q 0 EX_X 1000 m3 1_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.247 0.054 !! !! !! !! !! 21.77%
0 EX_X 1000 NAC 1_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 41.878 5.350 !! !! !! !! !! 12.77%
UV 0 EX_X 1000 m3 1_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 169.793 99.615 !! !! !! !! !! 58.67%
Q 0 EX_M 1000 m3 1_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.507 1.074 !! !! !! !! !! 212.02%
0 EX_M 1000 NAC 1_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 60.633 164.615 !! !! !! !! !! 271.49%
UV 0 EX_M 1000 m3 1_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 119.701 153.276 !! !! !! !! !! 128.05%
Q 0 EX_X 1000 m3 1_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.080 0.000 !! !! !! !! !! 0.00%
0 EX_X 1000 NAC 1_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 3.427 0.000 !! !! !! !! !! 0.00%
UV 0 EX_X 1000 m3 1_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 42.832 ERROR:#DIV/0! !! !! !! !! !! !!
Q 0 EX_M 1000 m3 1_2_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 97.416 79.653 !! !! !! !! !! 81.77%
0 EX_M 1000 NAC 1_2_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 9320.363 7127.897 !! !! !! !! !! 76.48%
UV 0 EX_M 1000 m3 1_2_C ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 95.676 89.486 !! !! !! !! !! 93.53%
Q 0 EX_X 1000 m3 1_2_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.167 0.054 !! !! !! !! !! 32.23%
0 EX_X 1000 NAC 1_2_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 38.451 5.350 !! !! !! !! !! 13.91%
UV 0 EX_X 1000 m3 1_2_C ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 230.743 99.615 !! !! !! !! !! 43.17%
Q 0 EX_M 1000 m3 1_2_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 11.633 9.609 !! !! !! !! !! 82.60%
0 EX_M 1000 NAC 1_2_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 2623.189 2003.222 !! !! !! !! !! 76.37%
UV 0 EX_M 1000 m3 1_2_NC ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 225.497 208.478 !! !! !! !! !! 92.45%
Q 0 EX_X 1000 m3 1_2_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 208.185 192.336 !! !! !! !! !! 92.39%
0 EX_X 1000 NAC 1_2_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 26237.549 29756.305 !! !! !! !! !! 113.41%
UV 0 EX_X 1000 m3 1_2_NC ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 126.030 154.710 !! !! !! !! !! 122.76%
Q 0 EX_M 1000 m3 1_2_NC_T 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 9.230 8.385 !! !! !! !! !! 90.84%
0 EX_M 1000 NAC 1_2_NC_T 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1195.684 1097.699 !! !! !! !! !! 91.81%
UV 0 EX_M 1000 m3 1_2_NC_T ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 129.543 130.920 !! !! !! !! !! 101.06%
Q 0 EX_X 1000 m3 1_2_NC_T 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 125.229 92.678 !! !! !! !! !! 74.01%
0 EX_X 1000 NAC 1_2_NC_T 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 11649.326 10095.138 !! !! !! !! !! 86.66%
UV 0 EX_X 1000 m3 1_2_NC_T ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 93.024 108.927 !! !! !! !! !! 117.10%
Q 0 EX_M 1000 mt 2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 2.403 1.224 !! !! !! !! !! 50.95%
0 EX_M 1000 NAC 2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1427.505 905.523 !! !! !! !! !! 63.43%
UV 0 EX_M 1000 mt 2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 594.084 739.649 !! !! !! !! !! 124.50%
Q 0 EX_X 1000 mt 2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 82.956 99.658 !! !! !! !! !! 120.13%
0 EX_X 1000 NAC 2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 14588.223 19661.167 !! !! !! !! !! 134.77%
UV 0 EX_X 1000 mt 2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 175.855 197.287 !! !! !! !! !! 112.19%
Q 0 EX_M 1000 m3 3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.261 0.272 !! !! !! !! !! 104.38%
0 EX_M 1000 NAC 3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 287.317 243.544 !! !! !! !! !! 84.76%
UV 0 EX_M 1000 m3 3 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1102.804 895.564 !! !! !! !! !! 81.21%
Q 0 EX_X 1000 m3 3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.053 0.000 !! !! !! !! !! 0.16%
0 EX_X 1000 NAC 3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 37.163 0.219 !! !! !! !! !! 0.59%
UV 0 EX_X 1000 m3 3 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 697.607 2573.294 !! !! !! !! !! 368.87%
Q 0 EX_M 1000 m3 3_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 2.879 1.986 !! !! !! !! !! 68.96%
0 EX_M 1000 NAC 3_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1385.743 974.480 !! !! !! !! !! 70.32%
UV 0 EX_M 1000 m3 3_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 481.324 490.794 !! !! !! !! !! 101.97%
Q 0 EX_X 1000 m3 3_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.061 0.009 !! !! !! !! !! 14.49%
0 EX_X 1000 NAC 3_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 42.455 20.790 !! !! !! !! !! 48.97%
UV 0 EX_X 1000 m3 3_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 695.999 2351.443 !! !! !! !! !! 337.85%
Q 0 EX_M 1000 m3 3_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 5.070 3.865 !! !! !! !! !! 76.24%
0 EX_M 1000 NAC 3_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 255.190 233.635 !! !! !! !! !! 91.55%
UV 0 EX_M 1000 m3 3_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 50.334 60.445 !! !! !! !! !! 120.09%
Q 0 EX_X 1000 m3 3_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.386 0.158 !! !! !! !! !! 40.80%
0 EX_X 1000 NAC 3_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 17.972 18.328 !! !! !! !! !! 101.98%
UV 0 EX_X 1000 m3 3_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 46.536 116.334 !! !! !! !! !! 249.99%
Q 0 EX_M 1000 mt 4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 2.227 1.267 !! !! !! !! !! 56.90%
0 EX_M 1000 NAC 4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 200.043 219.903 !! !! !! !! !! 109.93%
UV 0 EX_M 1000 mt 4 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 89.813 173.499 !! !! !! !! !! 193.18%
Q 0 EX_X 1000 mt 4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.296 0.088 !! !! !! !! !! 29.77%
0 EX_X 1000 NAC 4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 13.053 15.678 !! !! !! !! !! 120.11%
UV 0 EX_X 1000 mt 4 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 44.109 177.952 !! !! !! !! !! 403.43%
Q 0 EX_M 1000 mt 4_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 2.843 2.598 !! !! !! !! !! 91.39%
0 EX_M 1000 NAC 4_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 55.147 13.732 !! !! !! !! !! 24.90%
UV 0 EX_M 1000 mt 4_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 19.400 5.286 !! !! !! !! !! 27.25%
Q 0 EX_X 1000 mt 4_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.090 0.069 !! !! !! !! !! 76.94%
0 EX_X 1000 NAC 4_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 4.918 2.650 !! !! !! !! !! 53.89%
UV 0 EX_X 1000 mt 4_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 54.493 38.163 !! !! !! !! !! 70.03%
Q 0 EX_M 1000 mt 4_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 EX_M 1000 NAC 4_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
UV 0 EX_M 1000 mt 4_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#DIV/0! ERROR:#DIV/0! !! !! !! !! !! !!
Q 0 EX_X 1000 mt 4_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
0 EX_X 1000 NAC 4_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
UV 0 EX_X 1000 mt 4_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#DIV/0! ERROR:#DIV/0! !! !! !! !! !! !!
Q 0 EX_M 1000 m3 5 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 106.678 97.456 !! !! !! !! !! 91.36%
0 EX_M 1000 NAC 5 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 18525.583 16433.970 !! !! !! !! !! 88.71%
UV 0 EX_M 1000 m3 5 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 173.659 168.629 !! !! !! !! !! 97.10%
Q 0 EX_X 1000 m3 5 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.403 0.119 !! !! !! !! !! 29.63%
0 EX_X 1000 NAC 5 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 81.416 22.238 !! !! !! !! !! 27.31%
UV 0 EX_X 1000 m3 5 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 201.984 186.201 !! !! !! !! !! 92.19%
Q 0 EX_M 1000 m3 5_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 95.701 90.802 !! !! !! !! !! 94.88%
0 EX_M 1000 NAC 5_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 16915.765 15672.782 !! !! !! !! !! 92.65%
UV 0 EX_M 1000 m3 5_C ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 176.756 172.605 !! !! !! !! !! 97.65%
Q 0 EX_X 1000 m3 5_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.141 0.096 !! !! !! !! !! 68.30%
0 EX_X 1000 NAC 5_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 30.305 17.335 !! !! !! !! !! 57.20%
UV 0 EX_X 1000 m3 5_C ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 214.744 179.841 !! !! !! !! !! 83.75%
Q 0 EX_M 1000 m3 5_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 10.977 6.655 !! !! !! !! !! 60.63%
0 EX_M 1000 NAC 5_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1609.819 761.188 !! !! !! !! !! 47.28%
UV 0 EX_M 1000 m3 5_NC ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 146.660 114.384 !! !! !! !! !! 77.99%
Q 0 EX_X 1000 m3 5_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.262 0.023 !! !! !! !! !! 8.80%
0 EX_X 1000 NAC 5_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 51.111 4.903 !! !! !! !! !! 9.59%
UV 0 EX_X 1000 m3 5_NC ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 195.111 212.809 !! !! !! !! !! 109.07%
Q 0 EX_M 1000 m3 5_NC_T 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 57.825 52.760 !! !! !! !! !! 91.24%
0 EX_M 1000 NAC 5_NC_T 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 19434.113 16935.826 !! !! !! !! !! 87.14%
UV 0 EX_M 1000 m3 5_NC_T ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 336.086 320.996 !! !! !! !! !! 95.51%
Q 0 EX_X 1000 m3 5_NC_T 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 669.257 571.625 !! !! !! !! !! 85.41%
0 EX_X 1000 NAC 5_NC_T 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 119372.308 101613.603 !! !! !! !! !! 85.12%
UV 0 EX_X 1000 m3 5_NC_T ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 178.366 177.763 !! !! !! !! !! 99.66%
Q 0 EX_M 1000 m3 6 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 18.597 17.189 !! !! !! !! !! 92.43%
0 EX_M 1000 NAC 6 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 3640.620 3207.493 !! !! !! !! !! 88.10%
UV 0 EX_M 1000 m3 6 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 195.761 186.600 !! !! !! !! !! 95.32%
Q 0 EX_X 1000 m3 6 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 644.688 550.737 !! !! !! !! !! 85.43%
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UV 0 EX_X 1000 m3 6 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 168.881 167.520 !! !! !! !! !! 99.19%
Q 0 EX_M 1000 m3 6_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 39.228 35.571 !! !! !! !! !! 90.68%
0 EX_M 1000 NAC 6_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 15793.493 13728.333 !! !! !! !! !! 86.92%
UV 0 EX_M 1000 m3 6_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 402.613 385.940 !! !! !! !! !! 95.86%
Q 0 EX_X 1000 m3 6_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 24.568 20.888 !! !! !! !! !! 85.02%
0 EX_X 1000 NAC 6_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 10496.922 9354.212 !! !! !! !! !! 89.11%
UV 0 EX_X 1000 m3 6_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 427.256 447.826 !! !! !! !! !! 104.81%
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0 EX_M 1000 NAC 6_1_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1340.990 1231.153 !! !! !! !! !! 91.81%
UV 0 EX_M 1000 m3 6_1_C ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 893.510 697.646 !! !! !! !! !! 78.08%
Q 0 EX_X 1000 m3 6_1_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.213 0.094 !! !! !! !! !! 44.27%
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UV 0 EX_X 1000 m3 6_1_C ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1370.418 2000.323 !! !! !! !! !! 145.96%
Q 0 EX_M 1000 m3 6_1_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 7.622 6.938 !! !! !! !! !! 91.03%
0 EX_M 1000 NAC 6_1_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 4292.217 4198.164 !! !! !! !! !! 97.81%
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Q 0 EX_X 1000 m3 6_1_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 2.142 2.527 !! !! !! !! !! 118.01%
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Q 0 EX_M 1000 m3 6_1_NC_T 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.019 0.039 !! !! !! !! !! 203.15%
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Q 0 EX_M 1000 m3 6_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 7.603 6.899 !! !! !! !! !! 90.74%
0 EX_M 1000 NAC 6_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 4263.107 4154.951 !! !! !! !! !! 97.46%
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Q 0 EX_X 1000 m3 6_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1.972 2.404 !! !! !! !! !! 121.93%
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Q 0 EX_M 1000 m3 6_2_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 14.466 7.970 !! !! !! !! !! 55.09%
0 EX_M 1000 NAC 6_2_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 6622.142 4491.061 !! !! !! !! !! 67.82%
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Q 0 EX_X 1000 m3 6_2_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 54.585 55.399 !! !! !! !! !! 101.49%
0 EX_X 1000 NAC 6_2_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 26273.087 25653.137 !! !! !! !! !! 97.64%
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Q 0 EX_M 1000 m3 6_2_NC_T 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 8.248 6.070 !! !! !! !! !! 73.59%
0 EX_M 1000 NAC 6_2_NC_T 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 5088.129 3788.446 !! !! !! !! !! 74.46%
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Q 0 EX_X 1000 m3 6_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.038 0.059 !! !! !! !! !! 155.71%
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Q 0 EX_X 1000 mt 7_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 23.389 23.261 !! !! !! !! !! 99.45%
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Q 0 EX_X 1000 mt 7_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1.084 1.339 !! !! !! !! !! 123.59%
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Q 0 EX_X 1000 mt 8 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! 78.55%
0 EX_X 1000 NAC 8 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 3.633 2.887 !! !! !! !! !! 79.47%
UV 0 EX_X 1000 mt 8 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 10368.750 10489.155 !! !! !! !! !! 101.16%
Q 0 EX_M 1000 mt 8_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.027 0.000 !! !! !! !! !! 0.00%
0 EX_M 1000 NAC 8_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 49.529 0.000 !! !! !! !! !! 0.00%
UV 0 EX_M 1000 mt 8_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1853.911 ERROR:#DIV/0! !! !! !! !! !! !!
Q 0 EX_X 1000 mt 8_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.010 0.005 !! !! !! !! !! 51.02%
0 EX_X 1000 NAC 8_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 14.546 5.906 !! !! !! !! !! 40.61%
UV 0 EX_X 1000 mt 8_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1527.035 1215.211 !! !! !! !! !! 79.58%
Q 0 EX_M 1000 mt 8_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.027 0.000 !! !! !! !! !! 0.00%
0 EX_M 1000 NAC 8_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 49.268 0.000 !! !! !! !! !! 0.00%
UV 0 EX_M 1000 mt 8_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1852.197 ERROR:#DIV/0! !! !! !! !! !! !!
Q 0 EX_X 1000 mt 8_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! 84.05%
0 EX_X 1000 NAC 8_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.508 0.487 !! !! !! !! !! 95.85%
UV 0 EX_X 1000 mt 8_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 7778.016 8870.674 !! !! !! !! !! 114.05%
Q 0 EX_M 1000 mt 9 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! 0.00%
0 EX_M 1000 NAC 9 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.261 0.000 !! !! !! !! !! 0.00%
UV 0 EX_M 1000 mt 9 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 2246.897 ERROR:#DIV/0! !! !! !! !! !! !!
Q 0 EX_X 1000 mt 9 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.009 0.005 !! !! !! !! !! 50.80%
0 EX_X 1000 NAC 9 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 14.038 5.419 !! !! !! !! !! 38.61%
UV 0 EX_X 1000 mt 9 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1483.873 1127.750 !! !! !! !! !! 76.00%
Q 0 EX_M 1000 mt 10 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 28.310 24.213 !! !! !! !! !! 85.53%
0 EX_M 1000 NAC 10 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 5072.359 3775.672 !! !! !! !! !! 74.44%
UV 0 EX_M 1000 mt 10 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 179.170 155.937 !! !! !! !! !! 87.03%
Q 0 EX_X 1000 mt 10 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 2.383 7.102 !! !! !! !! !! 298.06%
0 EX_X 1000 NAC 10 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 299.704 614.867 !! !! !! !! !! 205.16%
UV 0 EX_X 1000 mt 10 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 125.777 86.574 !! !! !! !! !! 68.83%
Q 0 EX_M 1000 mt 10_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 22.267 27.726 !! !! !! !! !! 124.51%
0 EX_M 1000 NAC 10_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 18192.552 20077.771 !! !! !! !! !! 110.36%
UV 0 EX_M 1000 mt 10_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 817.010 724.149 !! !! !! !! !! 88.63%
Q 0 EX_X 1000 mt 10_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 229.608 235.795 !! !! !! !! !! 102.69%
0 EX_X 1000 NAC 10_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 160403.345 154208.734 !! !! !! !! !! 96.14%
UV 0 EX_X 1000 mt 10_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 698.597 653.995 !! !! !! !! !! 93.62%
Q 0 EX_M 1000 mt 10_1_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 9.269 13.926 !! !! !! !! !! 150.23%
0 EX_M 1000 NAC 10_1_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 8591.775 10972.449 !! !! !! !! !! 127.71%
UV 0 EX_M 1000 mt 10_1_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 926.905 787.931 !! !! !! !! !! 85.01%
Q 0 EX_X 1000 mt 10_1_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 139.451 140.529 !! !! !! !! !! 100.77%
0 EX_X 1000 NAC 10_1_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 107822.737 98770.082 !! !! !! !! !! 91.60%
UV 0 EX_X 1000 mt 10_1_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 773.195 702.844 !! !! !! !! !! 90.90%
Q 0 EX_M 1000 mt 10_1_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.007 0.603 !! !! !! !! !! 8717.58%
0 EX_M 1000 NAC 10_1_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 3.839 303.928 !! !! !! !! !! 7917.46%
UV 0 EX_M 1000 mt 10_1_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 554.647 503.740 !! !! !! !! !! 90.82%
Q 0 EX_X 1000 mt 10_1_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 38.696 34.617 !! !! !! !! !! 89.46%
0 EX_X 1000 NAC 10_1_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 19886.489 13871.634 !! !! !! !! !! 69.75%
UV 0 EX_X 1000 mt 10_1_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 513.918 400.723 !! !! !! !! !! 77.97%
Q 0 EX_M 1000 mt 10_1_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.026 !! !! !! !! !! 277238.39%
0 EX_M 1000 NAC 10_1_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.358 42.093 !! !! !! !! !! 11772.92%
UV 0 EX_M 1000 mt 10_1_3 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 38445.161 1632.573 !! !! !! !! !! 4.25%
Q 0 EX_X 1000 mt 10_1_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 8.883 4.483 !! !! !! !! !! 50.47%
0 EX_X 1000 NAC 10_1_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 5896.603 3264.743 !! !! !! !! !! 55.37%
UV 0 EX_X 1000 mt 10_1_3 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 663.826 728.194 !! !! !! !! !! 109.70%
Q 0 EX_M 1000 mt 10_1_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 6.440 11.169 !! !! !! !! !! 173.42%
0 EX_M 1000 NAC 10_1_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 5184.835 7982.078 !! !! !! !! !! 153.95%
UV 0 EX_M 1000 mt 10_1_4 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 805.053 714.653 !! !! !! !! !! 88.77%
Q 0 EX_X 1000 mt 10_1_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 40.328 44.894 !! !! !! !! !! 111.32%
0 EX_X 1000 NAC 10_1_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 36491.093 35430.570 !! !! !! !! !! 97.09%
UV 0 EX_X 1000 mt 10_1_4 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 904.860 789.200 !! !! !! !! !! 87.22%
Q 0 EX_M 1000 mt 10_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 2.822 2.127 !! !! !! !! !! 75.38%
0 EX_M 1000 NAC 10_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 3402.745 2644.349 !! !! !! !! !! 77.71%
UV 0 EX_M 1000 mt 10_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1205.783 1243.022 !! !! !! !! !! 103.09%
Q 0 EX_X 1000 mt 10_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 51.544 56.535 !! !! !! !! !! 109.68%
0 EX_X 1000 NAC 10_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 45548.552 46203.135 !! !! !! !! !! 101.44%
UV 0 EX_X 1000 mt 10_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 883.677 817.250 !! !! !! !! !! 92.48%
Q 0 EX_M 1000 mt 10_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.206 0.744 !! !! !! !! !! 360.55%
0 EX_M 1000 NAC 10_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 213.714 711.586 !! !! !! !! !! 332.96%
UV 0 EX_M 1000 mt 10_3 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1035.545 956.306 !! !! !! !! !! 92.35%
Q 0 EX_X 1000 mt 10_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.397 0.919 !! !! !! !! !! 231.26%
0 EX_X 1000 NAC 10_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 284.779 990.154 !! !! !! !! !! 347.69%
UV 0 EX_X 1000 mt 10_3 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 716.430 1077.138 !! !! !! !! !! 150.35%
Q 0 EX_M 1000 mt 10_3_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 12.771 13.043 !! !! !! !! !! 102.14%
0 EX_M 1000 NAC 10_3_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 9089.219 8317.999 !! !! !! !! !! 91.52%
UV 0 EX_M 1000 mt 10_3_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 711.731 637.723 !! !! !! !! !! 89.60%
Q 0 EX_X 1000 mt 10_3_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 89.733 94.319 !! !! !! !! !! 105.11%
0 EX_X 1000 NAC 10_3_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 51868.534 53779.119 !! !! !! !! !! 103.68%
UV 0 EX_X 1000 mt 10_3_1 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 578.031 570.182 !! !! !! !! !! 98.64%
Q 0 EX_M 1000 mt 10_3_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1.634 3.527 !! !! !! !! !! 215.86%
0 EX_M 1000 NAC 10_3_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1310.765 1959.101 !! !! !! !! !! 149.46%
UV 0 EX_M 1000 mt 10_3_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 802.206 555.439 !! !! !! !! !! 69.24%
Q 0 EX_X 1000 mt 10_3_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1.711 0.693 !! !! !! !! !! 40.51%
0 EX_X 1000 NAC 10_3_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 757.527 303.803 !! !! !! !! !! 40.10%
UV 0 EX_X 1000 mt 10_3_2 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 442.717 438.248 !! !! !! !! !! 98.99%
Q 0 EX_M 1000 mt 10_3_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 8.755 8.059 !! !! !! !! !! 92.05%
0 EX_M 1000 NAC 10_3_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 6088.081 5298.910 !! !! !! !! !! 87.04%
UV 0 EX_M 1000 mt 10_3_3 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 695.365 657.474 !! !! !! !! !! 94.55%
Q 0 EX_X 1000 mt 10_3_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 85.747 91.666 !! !! !! !! !! 106.90%
0 EX_X 1000 NAC 10_3_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 48991.908 51378.381 !! !! !! !! !! 104.87%
UV 0 EX_X 1000 mt 10_3_3 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 571.356 560.496 !! !! !! !! !! 98.10%
Q 0 EX_M 1000 mt 10_3_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 2.368 1.454 !! !! !! !! !! 61.40%
0 EX_M 1000 NAC 10_3_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1671.140 1054.748 !! !! !! !! !! 63.12%
UV 0 EX_M 1000 mt 10_3_4 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 705.573 725.249 !! !! !! !! !! 102.79%
Q 0 EX_X 1000 mt 10_3_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1.150 1.829 !! !! !! !! !! 159.05%
0 EX_X 1000 NAC 10_3_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1454.721 1997.313 !! !! !! !! !! 137.30%
UV 0 EX_X 1000 mt 10_3_4 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1264.882 1091.877 !! !! !! !! !! 86.32%
Q 0 EX_M 1000 mt 10_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.013 0.002 !! !! !! !! !! 18.11%
0 EX_M 1000 NAC 10_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 19.234 5.240 !! !! !! !! !! 27.24%
UV 0 EX_M 1000 mt 10_4 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1489.108 2240.810 !! !! !! !! !! 150.48%
Q 0 EX_X 1000 mt 10_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 1.125 0.131 !! !! !! !! !! 11.62%
0 EX_X 1000 NAC 10_4 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 664.378 99.622 !! !! !! !! !! 14.99%
UV 0 EX_X 1000 mt 10_4 ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 590.387 761.536 !! !! !! !! !! 128.99%

TS-EU2

% Min: 80% Max: 120% Notes
EU2 Country Flow Unit Product 2015 2016 2017 2018 2019 2019 2020 15/16 16/17 17/18 18/19 19/19 19/20 2015 2016 2017 2018
0 P 1000 m3 EU2_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0 0 !! !! !! !! !! !!
0 P 1000 m3 EU2_1_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0 0 !! !! !! !! !! !!
0 P 1000 m3 EU2_1_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0 0 !! !! !! !! !! !!
0 P 1000 m3 EU2_1_1 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0 0 !! !! !! !! !! !!
0 P 1000 m3 EU2_1_1_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0 0 !! !! !! !! !! !!
0 P 1000 m3 EU2_1_1_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0 0 !! !! !! !! !! !!
0 P 1000 m3 EU2_1_2 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0 0 !! !! !! !! !! !!
0 P 1000 m3 EU2_1_2_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0 0 !! !! !! !! !! !!
0 P 1000 m3 EU2_1_2_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0 0 !! !! !! !! !! !!
0 P 1000 m3 EU2_1_3 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0 0 !! !! !! !! !! !!
0 P 1000 m3 EU2_1_3_C 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0 0 !! !! !! !! !! !!
0 P 1000 m3 EU2_1_3_NC 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A 0 0 !! !! !! !! !! !!

Annex1 | JQ1-Corres.

FOREST SECTOR QUESTIONNAIRE JQ1 (Supp. 1)
PRIMARY PRODUCTS
Removals and Production
CORRESPONDENCES to CPC Ver.2.1
Central Product Classification Version 2.1 (CPC Ver. 2.1)
Product Product
Code
REMOVALS OF ROUNDWOOD (WOOD IN THE ROUGH)
1 ROUNDWOOD (WOOD IN THE ROUGH) 031
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 0313
1.1.C Coniferous 03131
1.1.NC Non-Coniferous 03132
1.2 INDUSTRIAL ROUNDWOOD 0311 0312
1.2.C Coniferous 0311
1.2.NC Non-Coniferous 0312
1.2.NC.T of which: Tropical ex0312
1.2.1 SAWLOGS AND VENEER LOGS ex03110 ex03120
1.2.1.C Coniferous ex03110
1.2.1.NC Non-Coniferous ex03120
1.2.2 PULPWOOD, ROUND AND SPLIT (INCLUDING WOOD FOR PARTICLE BOARD, OSB AND FIBREBOARD) ex03110 ex03120
1.2.2.C Coniferous ex03110
1.2.2.NC Non-Coniferous ex03120
1.2.3 OTHER INDUSTRIAL ROUNDWOOD ex03110 ex03120
1.2.3.C Coniferous ex03110
1.2.3.NC Non-Coniferous ex03120
PRODUCTION
2 WOOD CHARCOAL ex34510
3 WOOD CHIPS, PARTICLES AND RESIDUES ex31230 ex39283
3.1 WOOD CHIPS AND PARTICLES ex31230
3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) ex39283
4 RECOVERED POST-CONSUMER WOOD ex39283
5 WOOD PELLETS AND OTHER AGGLOMERATES 39281 39282
5.1 WOOD PELLETS 39281
5.2 OTHER AGGLOMERATES 39282
6 SAWNWOOD (INCLUDING SLEEPERS) 311 3132
6.C Coniferous 31101 ex31109 ex3132
6.NC Non-Coniferous 31102 ex31109 ex3132
6.NC.T of which: Tropical ex31102 ex31109 ex3132
7 VENEER SHEETS 3151
7.C Coniferous 31511
7.NC Non-Coniferous 31512
7.NC.T of which: Tropical ex31512
8 WOOD-BASED PANELS 3141 3142 3143 3144
8.1 PLYWOOD 3141 3142
8.1.C Coniferous 31411 31421
8.1.NC Non-Coniferous 31412 31422
8.1.NC.T of which: Tropical ex31412 ex31422
8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) and SIMILAR BOARD 3143
8.2.1 of which: ORIENTED STRAND BOARD (OSB) 31432
8.3 FIBREBOARD 3144
8.3.1 HARDBOARD 31442
8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 31441
8.3.3 OTHER FIBREBOARD 31449
9 WOOD PULP 32111 32112 ex32113
9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP ex32113
9.2 CHEMICAL WOOD PULP 32112
9.2.1 SULPHATE PULP ex32112
9.2.1.1 of which: BLEACHED ex32112
9.2.2 SULPHITE PULP ex32112
9.3 DISSOLVING GRADES 32111
10 OTHER PULP ex32113
10.1 PULP FROM FIBRES OTHER THAN WOOD ex32113
10.2 RECOVERED FIBRE PULP ex32113
11 RECOVERED PAPER 3924
12 PAPER AND PAPERBOARD 3212 3213 32142 32143 ex32149 32151 32198 ex32199
12.1 GRAPHIC PAPERS 3212 ex32143 ex32149
12.1.1 NEWSPRINT 32121
12.1.2 UNCOATED MECHANICAL ex32122 ex32129
12.1.3 UNCOATED WOODFREE 32122 ex32129
12.1.4 COATED PAPERS ex32143 ex32149
12.2 HOUSEHOLD AND SANITARY PAPERS 32131
12.3 PACKAGING MATERIALS 32132 ex32133 32134 32135 ex32136 ex32137 32142 32151 ex32143 ex32149
12.3.1 CASE MATERIALS 32132 32134 32135 ex32136
12.3.2 CARTONBOARD ex32133 ex32136 ex32143 ex32149
12.3.3 WRAPPING PAPERS ex32133 ex32136 ex32137 32142 32151
12.3.4 OTHER PAPERS MAINLY FOR PACKAGING ex32136
12.4 OTHER PAPER AND PAPERBOARD N.E.S. ex32149 ex32133 ex32136 ex32137 32198 ex32199
Notes:
The term "ex" means that there is not a complete correlation between the two codes and that only a part of the CPC Ver.2.1 code is applicable.
For instance "ex31512" under product 7.NC.T means that only a part of CPC Ver.2.1 code 31512 refers to non-coniferous tropical veneer sheets.
In CPC, if only 3 or 4 digits are shown, then all sub-codes at lower degrees of aggregation are included (for example, 0313 includes 03131 and 03132).

Annex2 | JQ2-Corres.

FOREST SECTOR QUESTIONNAIRE JQ2 (Supp. 1)
PRIMARY PRODUCTS
Trade
CORRESPONDENCES to HS2017, HS2012 and SITC Rev.4
C l a s s i f i c a t i o n s
Product Product
Code HS2017 HS2012 SITC Rev.4
1 ROUNDWOOD (WOOD IN THE ROUGH) 4401.11/12 44.03 4401.10 44.03 245.01 247
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 4401.11/12 4401.10 245.01
1.1.C Coniferous 4401.11 ex4401.10 ex245.01
1.1.NC Non-Coniferous 4401.12 ex4401.10 ex245.01
1.2 INDUSTRIAL ROUNDWOOD 44.03 44.03 247
1.2.C Coniferous 4403.11/21/22/23/24/25/26 ex4403.10 4403.20 ex247.3 247.4
1.2.NC Non-Coniferous 4403.12/41/49/91/93/94/95/96/97/98/99 ex4403.10 4403.41/49/91/92/99 ex247.3 247.5 247.9
1.2.NC.T of which: Tropical ex4403.12 4403.41/49 ex4403.10 4403.41/49 ex4403.99 ex247.3 247.5 ex247.9
2 WOOD CHARCOAL 4402.90 4402.90 ex245.02
3 WOOD CHIPS, PARTICLES AND RESIDUES 4401.21/22 ex4401.40 4401.21/22 ex4401.39 246.1 ex246.2
3.1 WOOD CHIPS AND PARTICLES 4401.21/22 4401.21/22 246.1
3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) ex4401.40 ex4401.39 ex246.2
4 RECOVERED POST-CONSUMER WOOD ex4401.40 ex4401.39 ex246.2
5 WOOD PELLETS AND OTHER AGGLOMERATES 4401.31/39 4401.31 ex4401.39 ex246.2
5.1 WOOD PELLETS 4401.31 4401.31 ex246.2
5.2 OTHER AGGLOMERATES 4401.39 ex4401.39 ex246.2
6 SAWNWOOD (INCLUDING SLEEPERS) 44.06 44.07 44.06 44.07 248.1 248.2 248.4
6.C Coniferous 4406.11/91 4407.11/12/19 ex4406.10/90 4407.10 ex248.11 ex248.19 248.2
6.NC Non-Coniferous 4406.12/92 4407.21/22/25/26/27/28/29/91/92/93/94/95/96/97/99 ex4406.10/90 4407.21/22/25/26/27/28/29/91/92/93/94/95/99 ex248.11 ex248.19 248.4
6.NC.T of which: Tropical ex4406.12/92 4407.21/22/25/26/27/28/29 ex4406.10/90 4407.21/22/25/26/27/28/29 ex4407.99 ex248.11 ex248.19 ex248.4
7 VENEER SHEETS 44.08 44.08 634.1
7.C Coniferous 4408.10 4408.10 634.11
7.NC Non-Coniferous 4408.31/39/90 4408.31/39/90 634.12
7.NC.T of which: Tropical 4408.31/39 4408.31/39 ex4408.90 ex634.12
8 WOOD-BASED PANELS 44.10 44.11 4412.31/33/34/39/94/99 44.10 44.11 4412.31/32/39/94/99 634.22/23/31/33/39 634.5
8.1 PLYWOOD 4412.31/33/34/39/94/99 4412.31/32/39/94/99 634.31/33/39
8.1.C Coniferous 4412.39 ex4412.94 ex4412.99 4412.39 ex4412.94 ex.4412.99 ex634.31 ex634.33 ex634.39
8.1.NC Non-Coniferous 4412.31/33/34 ex4412.94 ex4412.99 4412.31/32 ex4412.94 ex4412.99 ex634.31 ex634.33 ex634.39
8.1.NC.T of which: Tropical 4412.31 ex4412.94 ex4412.99 4412.31 ex4412.32 ex4412.94 ex4412.99 ex634.31 ex634.33 ex634.39
8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) and SIMILAR BOARD 44.10 44.10 634.22/23
8.2.1 of which: ORIENTED STRAND BOARD (OSB) 4410.12 4410.12 ex634.22
8.3 FIBREBOARD 44.11 44.11 634.5
8.3.1 HARDBOARD 4411.92 4411.92 ex634.54 ex634.55
8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 4411.12/13 ex4411.14* 4411.12/13 ex4411.14* ex634.54 ex634.55
8.3.3 OTHER FIBREBOARD ex4411.14 4411.93/94 ex4411.14 4411.93/94 ex634.54 ex634.55
9 WOOD PULP 47.01/02/03/04/05 47.01/02/03/04/05 251.2 251.3 251.4 251.5 251.6 251.91
9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 47.01 47.05 47.01 47.05 251.2 251.91
9.2 CHEMICAL WOOD PULP 47.03 47.04 47.03 47.04 251.4 251.5 251.6
9.2.1 SULPHATE PULP 47.03 47.03 251.4 251.5
9.2.1.1 of which: BLEACHED 4703.21/29 4703.21/29 251.5
9.2.2 SULPHITE PULP 47.04 47.04 251.6
9.3 DISSOLVING GRADES 47.02 47.02 251.3
10 OTHER PULP 47.06 47.06 251.92
10.1 PULP FROM FIBRES OTHER THAN WOOD 4706.10/30/91/92/93 4706.10/30/91/92/93 ex251.92
10.2 RECOVERED FIBRE PULP 4706.20 4706.20 ex251.92
11 RECOVERED PAPER 47.07 47.07 251.1
12 PAPER AND PAPERBOARD 48.01 48.02 48.03 48.04 48.05 48.06 48.08 48.09 48.10 4811.51/59 48.12 48.13 48.01 48.02 48.03 48.04 48.05 48.06 48.08 48.09 48.10 4811.51/59 48.12 48.13 641.1 641.2 641.3 641.4 641.5 641.62/63/64/69/71/72/74/75/76/77/93 642.41
12.1 GRAPHIC PAPERS 48.01 4802.10/20/54/55/56/57/58/61/62/69 48.09 4810.13/14/19/22/29 48.01 4802.10/20/54/55/56/57/58/61/62/69 48.09 4810.13/14/19/22/29 641.1 641.21/22/26/29 641.3
12.1.1 NEWSPRINT 48.01 48.01 641.1
12.1.2 UNCOATED MECHANICAL 4802.61/62/69 4802.61/62/69 641.29
12.1.3 UNCOATED WOODFREE 4802.10/20/54/55/56/57/58 4802.10/20/54/55/56/57/58 641.21/22/26
12.1.4 COATED PAPERS 48.09 4810.13/14/19/22/29 48.09 4810.13/14/19/22/29 641.3
12.2 HOUSEHOLD AND SANITARY PAPERS 48.03 48.03 641.63
12.3 PACKAGING MATERIALS 4804.11/19/21/29/31/39/42/49/51/52/59 4805.11/12/19/24/25/30/91/92/93 4806.10/20/40 48.08 4810.31/32/39/92/99 4811.51/59 4804.11/19/21/29/31/39/42/49/51/52/59 4805.11/12/19/24/25/30/91/92/93 4806.10/20/40 48.08 4810.31/32/39/92/99 4811.51/59 641.41/42/46 ex641.47 641.48/51/52 ex641.53 641.54/59/62/64/69/71/72/74/75/76/77
12.3.1 CASE MATERIALS 4804.11/19 4805.11/12/19/24/25/91 4804.11/19 4805.11/12/19/24/25/91 641.41/51/54 ex641.59
12.3.2 CARTONBOARD 4804.42/49/51/52/59 4805.92 4810.32/39/92 4811.51/59 4804.42/49/51/52/59 4805.92 4810.32/39/92 4811.51/59 ex641.47 641.48 ex641.59 641.75/76 ex641.77 641.71/72
12.3.3 WRAPPING PAPERS 4804.21/29/31/39 4805.30 4806.10/20/40 48.08 4810.31/99 4804.21/29/31/39 4805.30 4806.10/20/40 48.08 4810.31/99 641.42/46/52 ex641.53 641.62/64/69/74 ex641.77
12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 4805.93 4805.93 ex641.59
12.4 OTHER PAPER AND PAPERBOARD N.E.S. 4802.40 4804.41 4805.40/50 4806.30 48.12 48.13 4802.40 4804.41 4805.40/50 4806.30 48.12 48.13 641.24 ex641.47 641.56 ex641.53 641.55/93 642.41
Notes:
The term "ex" means that there is not a complete correlation between the two codes and that only a part of the HS2012/HS2017 or SITC Rev.4 code is applicable.
For instance "ex4401.40" under product 3.2 means that only a part of HS2017 code 4401.40 refers to wood residues coming from wood processing (the other part coded under 4401.40 is recovered post-consumer wood).
In SITC Rev.4, if only 4 digits are shown, then all sub-headings at lower degrees of aggregation are included (for example, 634.1 includes 634.11 and 634.12).
* - Please assign the trade data for HS code 4411.14 to product 8.3.2 (MDF/HDF) and 8.3.3 (other fibreboard) if it is possible to do this in national statistics. If not, please assign all the trade data to item 8.3.2 as in most cases MDF/HDF will represent the large majority of trade.

Annex3 | JQ3-Corres.

FOREST SECTOR QUESTIONNAIRE JQ3 (Supp. 1)
SECONDARY PROCESSED PRODUCTS
Trade
CORRESPONDENCES to HS2017, HS2012 and SITC Rev.4
C l a s s i f i c a t i o n s
Product Product
Code HS2017 HS2012 SITC Rev.4
13 SECONDARY WOOD PRODUCTS
13.1 FURTHER PROCESSED SAWNWOOD 4409.10/22/29 4409.10/29 248.3 248.5
13.1.C Coniferous 4409.10 4409.10 248.3
13.1.NC Non-coniferous 4409.22/29 4409.29 248.5
13.1.NC.T of which: Tropical 4409.22 ex4409.29 ex248.5
13.2 WOODEN WRAPPING AND PACKAGING MATERIAL 44.15/16 44.15/16 635.1 635.2
13.3 WOOD PRODUCTS FOR DOMESTIC/DECORATIVE USE 44.14 4419.90 44.20 44.14 ex4419.00 44.20 635.41 ex635.42 635.49
13.4 BUILDER’S JOINERY AND CARPENTRY OF WOOD 4418.10/20/40/50/60/74/75/79/99 4418.10/20/40/50/60 ex4418.71 ex4418.72 ex4418.79 ex4418.90 635.31/32/33 ex635.34 ex635.39
13.5 WOODEN FURNITURE 9401.61/69 ex9401.90 9403.30/40/50/60 ex9403.90 9401.61/69 ex9401.90 9403.30/40/50/60 ex9403.90 821.16 ex821.19 821.51/53/55/59 ex821.8
13.6 PREFABRICATED BUILDINGS OF WOOD 9406.10 ex94.06 ex811.0
13.7 OTHER MANUFACTURED WOOD PRODUCTS 44.04/05/13/17 4421.10/99 44.04/05/13/17 4421.10 ex4421.90 634.21/91/93 635.91 ex635.99
14 SECONDARY PAPER PRODUCTS
14.1 COMPOSITE PAPER AND PAPERBOARD 48.07 48.07 641.92
14.2 SPECIAL COATED PAPER AND PULP PRODUCTS 4811.10/41/49/60/90 4811.10/41/49/60/90 641.73/78/79
14.3 HOUSEHOLD AND SANITARY PAPER, READY FOR USE 48.18 48.18 642.43/94
14.4 PACKAGING CARTONS, BOXES ETC. 48.19 48.19 642.1
14.5 OTHER ARTICLES OF PAPER AND PAPERBOARD, READY FOR USE 48.14/16/17/20/21/22/23 48.14/16/17/20/21/22/23 641.94 642.2 642.3 642.42/45/91/93/99 892.81
14.5.1 of which: PRINTING AND WRITING PAPER, READY FOR USE ex4823.90 ex4823.90 ex642.99
14.5.2 of which: ARTICLES, MOULDED OR PRESSED FROM PULP 4823.70 4823.70 ex642.99
14.5.3 of which: FILTER PAPER AND PAPERBOARD, READY FOR USE 4823.20 4823.20 642.45
Notes:
The term "ex" means that there is not a complete correlation between the two codes and that only a part of the HS2012/HS2017 or SITC Rev.4 code is applicable.
For instance "ex811.00" under "Prefabricated buildings of wood" means that only a part of SITC code 811.00 refers to buildings prefabricated from wood, as that code does not distinguish between the materials buildings were prefabricated from.
In SITC Rev.4, if only 4 digits are shown, then all subheadings at lower degrees of aggregation are included (for example, 892.2 includes 892.21 and 892.29).

SentData

Country Flow Year Unit Product Conc Data value
0 P 2019 1000 m3 1 0_P_2019_1000 m3_1 0 JQ1
0 P 2019 1000 m3 1_C 0_P_2019_1000 m3_1_C 0
0 P 2019 1000 m3 1_NC 0_P_2019_1000 m3_1_NC 0
0 P 2019 1000 m3 1_1 0_P_2019_1000 m3_1_1 0
0 P 2019 1000 m3 1_1_C 0_P_2019_1000 m3_1_1_C 0
0 P 2019 1000 m3 1_1_NC 0_P_2019_1000 m3_1_1_NC 0
0 P 2019 1000 m3 1_2 0_P_2019_1000 m3_1_2 0
0 P 2019 1000 m3 1_2_C 0_P_2019_1000 m3_1_2_C 0
0 P 2019 1000 m3 1_2_NC 0_P_2019_1000 m3_1_2_NC 0
0 P 2019 1000 m3 1_2_1 0_P_2019_1000 m3_1_2_1 0
0 P 2019 1000 m3 1_2_1_C 0_P_2019_1000 m3_1_2_1_C 0
0 P 2019 1000 m3 1_2_1_NC 0_P_2019_1000 m3_1_2_1_NC 0
0 P 2019 1000 m3 1_2_2 0_P_2019_1000 m3_1_2_2 0
0 P 2019 1000 m3 1_2_2_C 0_P_2019_1000 m3_1_2_2_C 0
0 P 2019 1000 m3 1_2_2_NC 0_P_2019_1000 m3_1_2_2_NC 0
0 P 2019 1000 m3 1_2_3 0_P_2019_1000 m3_1_2_3 0
0 P 2019 1000 m3 1_2_3_C 0_P_2019_1000 m3_1_2_3_C 0
0 P 2019 1000 m3 1_2_3_NC 0_P_2019_1000 m3_1_2_3_NC 0
0 P 2019 1000 mt 2 0_P_2019_1000 mt_2 0
0 P 2019 1000 m3 3 0_P_2019_1000 m3_3 0
0 P 2019 1000 m3 3_1 0_P_2019_1000 m3_3_1 0
0 P 2019 1000 m3 3_2 0_P_2019_1000 m3_3_2 0
0 P 2019 1000 mt 4 0_P_2019_1000 mt_4 0
0 P 2019 1000 mt 4_1 0_P_2019_1000 mt_4_1 0
0 P 2019 1000 mt 4_2 0_P_2019_1000 mt_4_2 0
0 P 2019 1000 m3 5 0_P_2019_1000 m3_5 0
0 P 2019 1000 m3 5_C 0_P_2019_1000 m3_5_C 0
0 P 2019 1000 m3 5_NC 0_P_2019_1000 m3_5_NC 0
0 P 2019 1000 m3 5_NC_T 0_P_2019_1000 m3_5_NC_T 0
0 P 2019 1000 m3 6 0_P_2019_1000 m3_6 0
0 P 2019 1000 m3 6_1 0_P_2019_1000 m3_6_1 0
0 P 2019 1000 m3 6_1_C 0_P_2019_1000 m3_6_1_C 0
0 P 2019 1000 m3 6_1_NC 0_P_2019_1000 m3_6_1_NC 0
0 P 2019 1000 m3 6_1_NC_T 0_P_2019_1000 m3_6_1_NC_T 0
0 P 2019 1000 m3 6_2 0_P_2019_1000 m3_6_2 0
0 P 2019 1000 m3 6_2_C 0_P_2019_1000 m3_6_2_C 0
0 P 2019 1000 m3 6_2_NC 0_P_2019_1000 m3_6_2_NC 0
0 P 2019 1000 m3 6_2_NC_T 0_P_2019_1000 m3_6_2_NC_T 0
0 P 2019 1000 m3 6_3 0_P_2019_1000 m3_6_3 0
0 P 2019 1000 m3 6_3_1 0_P_2019_1000 m3_6_3_1 0
0 P 2019 1000 m3 6_4 0_P_2019_1000 m3_6_4 0
0 P 2019 1000 m3 6_4_1 0_P_2019_1000 m3_6_4_1 0
0 P 2019 1000 m3 6_4_2 0_P_2019_1000 m3_6_4_2 0
0 P 2019 1000 m3 6_4_3 0_P_2019_1000 m3_6_4_3 0
0 P 2019 1000 mt 7 0_P_2019_1000 mt_7 0
0 P 2019 1000 mt 7_1 0_P_2019_1000 mt_7_1 0
0 P 2019 1000 mt 7_2 0_P_2019_1000 mt_7_2 0
0 P 2019 1000 mt 7_3 0_P_2019_1000 mt_7_3 0
0 P 2019 1000 mt 7_3_1 0_P_2019_1000 mt_7_3_1 0
0 P 2019 1000 mt 7_3_2 0_P_2019_1000 mt_7_3_2 0
0 P 2019 1000 mt 7_3_3 0_P_2019_1000 mt_7_3_3 0
0 P 2019 1000 mt 7_3_4 0_P_2019_1000 mt_7_3_4 0
0 P 2019 1000 mt 7_4 0_P_2019_1000 mt_7_4 0
0 P 2019 1000 mt 8 0_P_2019_1000 mt_8 0
0 P 2019 1000 mt 8_1 0_P_2019_1000 mt_8_1 0
0 P 2019 1000 mt 8_2 0_P_2019_1000 mt_8_2 0
0 P 2019 1000 mt 9 0_P_2019_1000 mt_9 0
0 P 2019 1000 mt 10 0_P_2019_1000 mt_10 0
0 P 2019 1000 mt 10_1 0_P_2019_1000 mt_10_1 0
0 P 2019 1000 mt 10_1_1 0_P_2019_1000 mt_10_1_1 0
0 P 2019 1000 mt 10_1_2 0_P_2019_1000 mt_10_1_2 0
0 P 2019 1000 mt 10_1_3 0_P_2019_1000 mt_10_1_3 0
0 P 2019 1000 mt 10_1_4 0_P_2019_1000 mt_10_1_4 0
0 P 2019 1000 mt 10_2 0_P_2019_1000 mt_10_2 0
0 P 2019 1000 mt 10_3 0_P_2019_1000 mt_10_3 0
0 P 2019 1000 mt 10_3_1 0_P_2019_1000 mt_10_3_1 0
0 P 2019 1000 mt 10_3_2 0_P_2019_1000 mt_10_3_2 0
0 P 2019 1000 mt 10_3_3 0_P_2019_1000 mt_10_3_3 0
0 P 2019 1000 mt 10_3_4 0_P_2019_1000 mt_10_3_4 0
0 P 2019 1000 mt 10_4 0_P_2019_1000 mt_10_4 0
0 P 2020 1000 m3 1 0_P_2020_1000 m3_1 0
0 P 2020 1000 m3 1_C 0_P_2020_1000 m3_1_C 0
0 P 2020 1000 m3 1_NC 0_P_2020_1000 m3_1_NC 0
0 P 2020 1000 m3 1_1 0_P_2020_1000 m3_1_1 0
0 P 2020 1000 m3 1_1_C 0_P_2020_1000 m3_1_1_C 0
0 P 2020 1000 m3 1_1_NC 0_P_2020_1000 m3_1_1_NC 0
0 P 2020 1000 m3 1_2 0_P_2020_1000 m3_1_2 0
0 P 2020 1000 m3 1_2_C 0_P_2020_1000 m3_1_2_C 0
0 P 2020 1000 m3 1_2_NC 0_P_2020_1000 m3_1_2_NC 0
0 P 2020 1000 m3 1_2_1 0_P_2020_1000 m3_1_2_1 0
0 P 2020 1000 m3 1_2_1_C 0_P_2020_1000 m3_1_2_1_C 0
0 P 2020 1000 m3 1_2_1_NC 0_P_2020_1000 m3_1_2_1_NC 0
0 P 2020 1000 m3 1_2_2 0_P_2020_1000 m3_1_2_2 0
0 P 2020 1000 m3 1_2_2_C 0_P_2020_1000 m3_1_2_2_C 0
0 P 2020 1000 m3 1_2_2_NC 0_P_2020_1000 m3_1_2_2_NC 0
0 P 2020 1000 m3 1_2_3 0_P_2020_1000 m3_1_2_3 0
0 P 2020 1000 m3 1_2_3_C 0_P_2020_1000 m3_1_2_3_C 0
0 P 2020 1000 m3 1_2_3_NC 0_P_2020_1000 m3_1_2_3_NC 0
0 P 2020 1000 mt 2 0_P_2020_1000 mt_2 0
0 P 2020 1000 m3 3 0_P_2020_1000 m3_3 0
0 P 2020 1000 m3 3_1 0_P_2020_1000 m3_3_1 0
0 P 2020 1000 m3 3_2 0_P_2020_1000 m3_3_2 0
0 P 2020 1000 mt 4 0_P_2020_1000 mt_4 0
0 P 2020 1000 mt 4_1 0_P_2020_1000 mt_4_1 0
0 P 2020 1000 mt 4_2 0_P_2020_1000 mt_4_2 0
0 P 2020 1000 m3 5 0_P_2020_1000 m3_5 0
0 P 2020 1000 m3 5_C 0_P_2020_1000 m3_5_C 0
0 P 2020 1000 m3 5_NC 0_P_2020_1000 m3_5_NC 0
0 P 2020 1000 m3 5_NC_T 0_P_2020_1000 m3_5_NC_T 0
0 P 2020 1000 m3 6 0_P_2020_1000 m3_6 0
0 P 2020 1000 m3 6_1 0_P_2020_1000 m3_6_1 0
0 P 2020 1000 m3 6_1_C 0_P_2020_1000 m3_6_1_C 0
0 P 2020 1000 m3 6_1_NC 0_P_2020_1000 m3_6_1_NC 0
0 P 2020 1000 m3 6_1_NC_T 0_P_2020_1000 m3_6_1_NC_T 0
0 P 2020 1000 m3 6_2 0_P_2020_1000 m3_6_2 0
0 P 2020 1000 m3 6_2_C 0_P_2020_1000 m3_6_2_C 0
0 P 2020 1000 m3 6_2_NC 0_P_2020_1000 m3_6_2_NC 0
0 P 2020 1000 m3 6_2_NC_T 0_P_2020_1000 m3_6_2_NC_T 0
0 P 2020 1000 m3 6_3 0_P_2020_1000 m3_6_3 0
0 P 2020 1000 m3 6_3_1 0_P_2020_1000 m3_6_3_1 0
0 P 2020 1000 m3 6_4 0_P_2020_1000 m3_6_4 0
0 P 2020 1000 m3 6_4_1 0_P_2020_1000 m3_6_4_1 0
0 P 2020 1000 m3 6_4_2 0_P_2020_1000 m3_6_4_2 0
0 P 2020 1000 m3 6_4_3 0_P_2020_1000 m3_6_4_3 0
0 P 2020 1000 mt 7 0_P_2020_1000 mt_7 0
0 P 2020 1000 mt 7_1 0_P_2020_1000 mt_7_1 0
0 P 2020 1000 mt 7_2 0_P_2020_1000 mt_7_2 0
0 P 2020 1000 mt 7_3 0_P_2020_1000 mt_7_3 0
0 P 2020 1000 mt 7_3_1 0_P_2020_1000 mt_7_3_1 0
0 P 2020 1000 mt 7_3_2 0_P_2020_1000 mt_7_3_2 0
0 P 2020 1000 mt 7_3_3 0_P_2020_1000 mt_7_3_3 0
0 P 2020 1000 mt 7_3_4 0_P_2020_1000 mt_7_3_4 0
0 P 2020 1000 mt 7_4 0_P_2020_1000 mt_7_4 0
0 P 2020 1000 mt 8 0_P_2020_1000 mt_8 0
0 P 2020 1000 mt 8_1 0_P_2020_1000 mt_8_1 0
0 P 2020 1000 mt 8_2 0_P_2020_1000 mt_8_2 0
0 P 2020 1000 mt 9 0_P_2020_1000 mt_9 0
0 P 2020 1000 mt 10 0_P_2020_1000 mt_10 0
0 P 2020 1000 mt 10_1 0_P_2020_1000 mt_10_1 0
0 P 2020 1000 mt 10_1_1 0_P_2020_1000 mt_10_1_1 0
0 P 2020 1000 mt 10_1_2 0_P_2020_1000 mt_10_1_2 0
0 P 2020 1000 mt 10_1_3 0_P_2020_1000 mt_10_1_3 0
0 P 2020 1000 mt 10_1_4 0_P_2020_1000 mt_10_1_4 0
0 P 2020 1000 mt 10_2 0_P_2020_1000 mt_10_2 0
0 P 2020 1000 mt 10_3 0_P_2020_1000 mt_10_3 0
0 P 2020 1000 mt 10_3_1 0_P_2020_1000 mt_10_3_1 0
0 P 2020 1000 mt 10_3_2 0_P_2020_1000 mt_10_3_2 0
0 P 2020 1000 mt 10_3_3 0_P_2020_1000 mt_10_3_3 0
0 P 2020 1000 mt 10_3_4 0_P_2020_1000 mt_10_3_4 0
0 P 2020 1000 mt 10_4 0_P_2020_1000 mt_10_4 0
0 M 2019 1000 m3 1 0_M_2019_1000 m3_1 627.944176512 JQ2
0 M 2019 1000 m3 1_1 0_M_2019_1000 m3_1_1 167.7223993606
0 M 2019 1000 m3 1_2 0_M_2019_1000 m3_1_2 9.5759487692
0 M 2019 1000 m3 1_2_C 0_M_2019_1000 m3_1_2_C 158.1464505914
0 M 2019 1000 m3 1_2_NC 0_M_2019_1000 m3_1_2_NC 460.2217771513
0 M 2019 1000 m3 1_2_NC_T 0_M_2019_1000 m3_1_2_NC_T 345.6870307002
0 M 2019 1000 mt 2 0_M_2019_1000 mt_2 114.5347464512
0 M 2019 1000 m3 3 0_M_2019_1000 m3_3 0.9324852222
0 M 2019 1000 m3 3_1 0_M_2019_1000 m3_3_1 4.2270053
0 M 2019 1000 m3 3_2 0_M_2019_1000 m3_3_2 185.8583363274
0 M 2019 1000 mt 4 0_M_2019_1000 mt_4 129.812477152
0 M 2019 1000 mt 4_1 0_M_2019_1000 mt_4_1 56.0458591754
0 M 2019 1000 mt 4_2 0_M_2019_1000 mt_4_2 0
0 M 2019 1000 m3 5 0_M_2019_1000 m3_5 272.41054582
0 M 2019 1000 m3 5_C 0_M_2019_1000 m3_5_C 229.47277525
0 M 2019 1000 m3 5_NC 0_M_2019_1000 m3_5_NC 42.93777057
0 M 2019 1000 m3 5_NC_T 0_M_2019_1000 m3_5_NC_T 851.6632092797
0 M 2019 1000 m3 6 0_M_2019_1000 m3_6 745.3894550446
0 M 2019 1000 m3 6_1 0_M_2019_1000 m3_6_1 106.2737542351
0 M 2019 1000 m3 6_1_C 0_M_2019_1000 m3_6_1_C 2.0708878286
0 M 2019 1000 m3 6_1_NC 0_M_2019_1000 m3_6_1_NC 13.5501181485
0 M 2019 1000 m3 6_1_NC_T 0_M_2019_1000 m3_6_1_NC_T 0.0634505485
0 M 2019 1000 m3 6_2 0_M_2019_1000 m3_6_2 13.4866676
0 M 2019 1000 m3 6_2_C 0_M_2019_1000 m3_6_2_C 0.2368028923
0 M 2019 1000 m3 6_2_NC 0_M_2019_1000 m3_6_2_NC 286.3690949438
0 M 2019 1000 m3 6_2_NC_T 0_M_2019_1000 m3_6_2_NC_T 47.3767001369
0 M 2019 1000 m3 6_3 0_M_2019_1000 m3_6_3 12.3611311655
0 M 2019 1000 m3 6_3_1 0_M_2019_1000 m3_6_3_1 35.0155689714
0 M 2019 1000 m3 6_4 0_M_2019_1000 m3_6_4 13.563821389
0 M 2019 1000 m3 6_4_1 0_M_2019_1000 m3_6_4_1 185.7275156201
0 M 2019 1000 m3 6_4_2 0_M_2019_1000 m3_6_4_2 30.7560398728
0 M 2019 1000 m3 6_4_3 0_M_2019_1000 m3_6_4_3 53.2648791868
0 M 2019 1000 mt 7 0_M_2019_1000 mt_7 8.5324113564
0 M 2019 1000 mt 7_1 0_M_2019_1000 mt_7_1 36.3312627552
0 M 2019 1000 mt 7_2 0_M_2019_1000 mt_7_2 8.4012050752
0 M 2019 1000 mt 7_3 0_M_2019_1000 mt_7_3 237.32410524
0 M 2019 1000 mt 7_3_1 0_M_2019_1000 mt_7_3_1 11.46111076
0 M 2019 1000 mt 7_3_2 0_M_2019_1000 mt_7_3_2 225.84021788
0 M 2019 1000 mt 7_3_3 0_M_2019_1000 mt_7_3_3 223.53864888
0 M 2019 1000 mt 7_3_4 0_M_2019_1000 mt_7_3_4 210.97383643
0 M 2019 1000 mt 7_4 0_M_2019_1000 mt_7_4 2.301569
0 M 2019 1000 mt 8 0_M_2019_1000 mt_8 0.0227766
0 M 2019 1000 mt 8_1 0_M_2019_1000 mt_8_1 0.6517867
0 M 2019 1000 mt 8_2 0_M_2019_1000 mt_8_2 0.2878557
0 M 2019 1000 mt 9 0_M_2019_1000 mt_9 0.363931
0 M 2019 1000 mt 10 0_M_2019_1000 mt_10 260.09352934
0 M 2019 1000 mt 10_1 0_M_2019_1000 mt_10_1 712.89592564
0 M 2019 1000 mt 10_1_1 0_M_2019_1000 mt_10_1_1 249.82501539
0 M 2019 1000 mt 10_1_2 0_M_2019_1000 mt_10_1_2 17.51635859
0 M 2019 1000 mt 10_1_3 0_M_2019_1000 mt_10_1_3 49.02629299
0 M 2019 1000 mt 10_1_4 0_M_2019_1000 mt_10_1_4 114.49662703
0 M 2019 1000 mt 10_2 0_M_2019_1000 mt_10_2 68.78573678
0 M 2019 1000 mt 10_3 0_M_2019_1000 mt_10_3 8.63146562
0 M 2019 1000 mt 10_3_1 0_M_2019_1000 mt_10_3_1 453.67005251
0 M 2019 1000 mt 10_3_2 0_M_2019_1000 mt_10_3_2 219.7264108
0 M 2019 1000 mt 10_3_3 0_M_2019_1000 mt_10_3_3 73.2393698
0 M 2019 1000 mt 10_3_4 0_M_2019_1000 mt_10_3_4 156.62499499
0 M 2019 1000 mt 10_4 0_M_2019_1000 mt_10_4 4.07927692
0 M 2019 1000 NAC 1 0_M_2019_1000 NAC_1 52672.2611404
0 M 2019 1000 NAC 1_1 0_M_2019_1000 NAC_1_1 12472.80299
0 M 2019 1000 NAC 1_2 0_M_2019_1000 NAC_1_2 301.36338
0 M 2019 1000 NAC 1_2_C 0_M_2019_1000 NAC_1_2_C 12171.43961
0 M 2019 1000 NAC 1_2_NC 0_M_2019_1000 NAC_1_2_NC 40199.4581504
0 M 2019 1000 NAC 1_2_NC_T 0_M_2019_1000 NAC_1_2_NC_T 21701.3278822
0 M 2019 1000 NAC 2 0_M_2019_1000 NAC_2 18498.1302682
0 M 2019 1000 NAC 3 0_M_2019_1000 NAC_3 798.04472
0 M 2019 1000 NAC 3_1 0_M_2019_1000 NAC_3_1 2176.34844
0 M 2019 1000 NAC 3_2 0_M_2019_1000 NAC_3_2 6115.83971
0 M 2019 1000 NAC 4 0_M_2019_1000 NAC_4 4659.09386
0 M 2019 1000 NAC 4_1 0_M_2019_1000 NAC_4_1 1456.74585
0 M 2019 1000 NAC 4_2 0_M_2019_1000 NAC_4_2 0
0 M 2019 1000 NAC 5 0_M_2019_1000 NAC_5 46725.52441
0 M 2019 1000 NAC 5_C 0_M_2019_1000 NAC_5_C 41223.96219
0 M 2019 1000 NAC 5_NC 0_M_2019_1000 NAC_5_NC 5501.56222
0 M 2019 1000 NAC 5_NC_T 0_M_2019_1000 NAC_5_NC_T 149551.3371129
0 M 2019 1000 NAC 6 0_M_2019_1000 NAC_6 112189.5977988
0 M 2019 1000 NAC 6_1 0_M_2019_1000 NAC_6_1 37361.7393141
0 M 2019 1000 NAC 6_1_C 0_M_2019_1000 NAC_6_1_C 2406.99164
0 M 2019 1000 NAC 6_1_NC 0_M_2019_1000 NAC_6_1_NC 23509.82012
0 M 2019 1000 NAC 6_1_NC_T 0_M_2019_1000 NAC_6_1_NC_T 120.89087
0 M 2019 1000 NAC 6_2 0_M_2019_1000 NAC_6_2 23388.92925
0 M 2019 1000 NAC 6_2_C 0_M_2019_1000 NAC_6_2_C 1183.48676
0 M 2019 1000 NAC 6_2_NC 0_M_2019_1000 NAC_6_2_NC 112093.93112
0 M 2019 1000 NAC 6_2_NC_T 0_M_2019_1000 NAC_6_2_NC_T 39513.11202
0 M 2019 1000 NAC 6_3 0_M_2019_1000 NAC_6_3 8256.25081
0 M 2019 1000 NAC 6_3_1 0_M_2019_1000 NAC_6_3_1 31256.86121
0 M 2019 1000 NAC 6_4 0_M_2019_1000 NAC_6_4 14947.55452
0 M 2019 1000 NAC 6_4_1 0_M_2019_1000 NAC_6_4_1 49890.026
0 M 2019 1000 NAC 6_4_2 0_M_2019_1000 NAC_6_4_2 7673.29091
0 M 2019 1000 NAC 6_4_3 0_M_2019_1000 NAC_6_4_3 22690.7931
0 M 2019 1000 NAC 7 0_M_2019_1000 NAC_7 5333.52262
0 M 2019 1000 NAC 7_1 0_M_2019_1000 NAC_7_1 12323.50151
0 M 2019 1000 NAC 7_2 0_M_2019_1000 NAC_7_2 5033.76897
0 M 2019 1000 NAC 7_3 0_M_2019_1000 NAC_7_3 134514.65451
0 M 2019 1000 NAC 7_3_1 0_M_2019_1000 NAC_7_3_1 4749.312
0 M 2019 1000 NAC 7_3_2 0_M_2019_1000 NAC_7_3_2 129740.22063
0 M 2019 1000 NAC 7_3_3 0_M_2019_1000 NAC_7_3_3 128426.4995
0 M 2019 1000 NAC 7_3_4 0_M_2019_1000 NAC_7_3_4 122014.28962
0 M 2019 1000 NAC 7_4 0_M_2019_1000 NAC_7_4 1313.72113
0 M 2019 1000 NAC 8 0_M_2019_1000 NAC_8 25.12188
0 M 2019 1000 NAC 8_1 0_M_2019_1000 NAC_8_1 813.44568
0 M 2019 1000 NAC 8_2 0_M_2019_1000 NAC_8_2 540.96111
0 M 2019 1000 NAC 9 0_M_2019_1000 NAC_9 272.48457
0 M 2019 1000 NAC 10 0_M_2019_1000 NAC_10 46355.31979
0 M 2019 1000 NAC 10_1 0_M_2019_1000 NAC_10_1 418124.91462
0 M 2019 1000 NAC 10_1_1 0_M_2019_1000 NAC_10_1_1 162556.94284
0 M 2019 1000 NAC 10_1_2 0_M_2019_1000 NAC_10_1_2 9515.00717
0 M 2019 1000 NAC 10_1_3 0_M_2019_1000 NAC_10_1_3 27763.29504
0 M 2019 1000 NAC 10_1_4 0_M_2019_1000 NAC_10_1_4 78951.72683
0 M 2019 1000 NAC 10_2 0_M_2019_1000 NAC_10_2 46326.9138
0 M 2019 1000 NAC 10_3 0_M_2019_1000 NAC_10_3 9934.26406
0 M 2019 1000 NAC 10_3_1 0_M_2019_1000 NAC_10_3_1 240731.48642
0 M 2019 1000 NAC 10_3_2 0_M_2019_1000 NAC_10_3_2 74065.3548
0 M 2019 1000 NAC 10_3_3 0_M_2019_1000 NAC_10_3_3 37063.72485
0 M 2019 1000 NAC 10_3_4 0_M_2019_1000 NAC_10_3_4 127702.64102
0 M 2019 1000 NAC 10_4 0_M_2019_1000 NAC_10_4 1899.76575
0 M 2020 1000 m3 1 0_M_2020_1000 m3_1 865.1853062706
0 M 2020 1000 m3 1_1 0_M_2020_1000 m3_1_1 147.1130866319
0 M 2020 1000 m3 1_2 0_M_2020_1000 m3_1_2 8.5271643846
0 M 2020 1000 m3 1_2_C 0_M_2020_1000 m3_1_2_C 138.5859222473
0 M 2020 1000 m3 1_2_NC 0_M_2020_1000 m3_1_2_NC 718.0722196386
0 M 2020 1000 m3 1_2_NC_T 0_M_2020_1000 m3_1_2_NC_T 596.9460281239
0 M 2020 1000 mt 2 0_M_2020_1000 mt_2 121.1261915147
0 M 2020 1000 m3 3 0_M_2020_1000 m3_3 0.6491133444
0 M 2020 1000 m3 3_1 0_M_2020_1000 m3_3_1 3.66273942
0 M 2020 1000 m3 3_2 0_M_2020_1000 m3_3_2 173.670377006
0 M 2020 1000 mt 4 0_M_2020_1000 mt_4 125.146025072
0 M 2020 1000 mt 4_1 0_M_2020_1000 mt_4_1 48.524351934
0 M 2020 1000 mt 4_2 0_M_2020_1000 mt_4_2 0
0 M 2020 1000 m3 5 0_M_2020_1000 m3_5 294.61217048
0 M 2020 1000 m3 5_C 0_M_2020_1000 m3_5_C 256.77573529
0 M 2020 1000 m3 5_NC 0_M_2020_1000 m3_5_NC 37.83643519
0 M 2020 1000 m3 5_NC_T 0_M_2020_1000 m3_5_NC_T 753.809197585
0 M 2020 1000 m3 6 0_M_2020_1000 m3_6 656.0415851091
0 M 2020 1000 m3 6_1 0_M_2020_1000 m3_6_1 97.767612476
0 M 2020 1000 m3 6_1_C 0_M_2020_1000 m3_6_1_C 2.4123444
0 M 2020 1000 m3 6_1_NC 0_M_2020_1000 m3_6_1_NC 12.2689503497
0 M 2020 1000 m3 6_1_NC_T 0_M_2020_1000 m3_6_1_NC_T 0.1439872574
0 M 2020 1000 m3 6_2 0_M_2020_1000 m3_6_2 12.1249630923
0 M 2020 1000 m3 6_2_C 0_M_2020_1000 m3_6_2_C 0.3406319385
0 M 2020 1000 m3 6_2_NC 0_M_2020_1000 m3_6_2_NC 275.8172795876
0 M 2020 1000 m3 6_2_NC_T 0_M_2020_1000 m3_6_2_NC_T 44.8461248252
0 M 2020 1000 m3 6_3 0_M_2020_1000 m3_6_3 9.1547897466
0 M 2020 1000 m3 6_3_1 0_M_2020_1000 m3_6_3_1 35.6913350785
0 M 2020 1000 m3 6_4 0_M_2020_1000 m3_6_4 16.0158899908
0 M 2020 1000 m3 6_4_1 0_M_2020_1000 m3_6_4_1 182.3082969917
0 M 2020 1000 m3 6_4_2 0_M_2020_1000 m3_6_4_2 35.3162203816
0 M 2020 1000 m3 6_4_3 0_M_2020_1000 m3_6_4_3 48.6628577708
0 M 2020 1000 mt 7 0_M_2020_1000 mt_7 9.0049214257
0 M 2020 1000 mt 7_1 0_M_2020_1000 mt_7_1 31.5692198647
0 M 2020 1000 mt 7_2 0_M_2020_1000 mt_7_2 8.0887164803
0 M 2020 1000 mt 7_3 0_M_2020_1000 mt_7_3 288.94699669
0 M 2020 1000 mt 7_3_1 0_M_2020_1000 mt_7_3_1 10.49571311
0 M 2020 1000 mt 7_3_2 0_M_2020_1000 mt_7_3_2 278.43960238
0 M 2020 1000 mt 7_3_3 0_M_2020_1000 mt_7_3_3 271.72438688
0 M 2020 1000 mt 7_3_4 0_M_2020_1000 mt_7_3_4 246.98403888
0 M 2020 1000 mt 7_4 0_M_2020_1000 mt_7_4 6.7152155
0 M 2020 1000 mt 8 0_M_2020_1000 mt_8 0.0116812
0 M 2020 1000 mt 8_1 0_M_2020_1000 mt_8_1 0.58289882
0 M 2020 1000 mt 8_2 0_M_2020_1000 mt_8_2 0.17283327
0 M 2020 1000 mt 9 0_M_2020_1000 mt_9 0.41006555
0 M 2020 1000 mt 10 0_M_2020_1000 mt_10 239.31325635
0 M 2020 1000 mt 10_1 0_M_2020_1000 mt_10_1 756.39382831
0 M 2020 1000 mt 10_1_1 0_M_2020_1000 mt_10_1_1 211.58179079
0 M 2020 1000 mt 10_1_2 0_M_2020_1000 mt_10_1_2 19.299747
0 M 2020 1000 mt 10_1_3 0_M_2020_1000 mt_10_1_3 42.7871346
0 M 2020 1000 mt 10_1_4 0_M_2020_1000 mt_10_1_4 90.33723103
0 M 2020 1000 mt 10_2 0_M_2020_1000 mt_10_2 59.15767816
0 M 2020 1000 mt 10_3 0_M_2020_1000 mt_10_3 9.83590372
0 M 2020 1000 mt 10_3_1 0_M_2020_1000 mt_10_3_1 534.33567566
0 M 2020 1000 mt 10_3_2 0_M_2020_1000 mt_10_3_2 263.76589753
0 M 2020 1000 mt 10_3_3 0_M_2020_1000 mt_10_3_3 82.16078474
0 M 2020 1000 mt 10_3_4 0_M_2020_1000 mt_10_3_4 183.82921177
0 M 2020 1000 mt 10_4 0_M_2020_1000 mt_10_4 4.57978162
0 M 2020 1000 NAC 1 0_M_2020_1000 NAC_1 65296.30246
0 M 2020 1000 NAC 1_1 0_M_2020_1000 NAC_1_1 10568.37037
0 M 2020 1000 NAC 1_2 0_M_2020_1000 NAC_1_2 344.78481
0 M 2020 1000 NAC 1_2_C 0_M_2020_1000 NAC_1_2_C 10223.58556
0 M 2020 1000 NAC 1_2_NC 0_M_2020_1000 NAC_1_2_NC 54727.93209
0 M 2020 1000 NAC 1_2_NC_T 0_M_2020_1000 NAC_1_2_NC_T 32728.01914
0 M 2020 1000 NAC 2 0_M_2020_1000 NAC_2 21999.91295
0 M 2020 1000 NAC 3 0_M_2020_1000 NAC_3 590.14532
0 M 2020 1000 NAC 3_1 0_M_2020_1000 NAC_3_1 2019.67665
0 M 2020 1000 NAC 3_2 0_M_2020_1000 NAC_3_2 5556.9009
0 M 2020 1000 NAC 4 0_M_2020_1000 NAC_4 4188.88666
0 M 2020 1000 NAC 4_1 0_M_2020_1000 NAC_4_1 1368.01424
0 M 2020 1000 NAC 4_2 0_M_2020_1000 NAC_4_2 0
0 M 2020 1000 NAC 5 0_M_2020_1000 NAC_5 41105.39129
0 M 2020 1000 NAC 5_C 0_M_2020_1000 NAC_5_C 37278.32444
0 M 2020 1000 NAC 5_NC 0_M_2020_1000 NAC_5_NC 3827.06685
0 M 2020 1000 NAC 5_NC_T 0_M_2020_1000 NAC_5_NC_T 126023.64501
0 M 2020 1000 NAC 6 0_M_2020_1000 NAC_6 94394.11828
0 M 2020 1000 NAC 6_1 0_M_2020_1000 NAC_6_1 31629.52673
0 M 2020 1000 NAC 6_1_C 0_M_2020_1000 NAC_6_1_C 2119.93909
0 M 2020 1000 NAC 6_1_NC 0_M_2020_1000 NAC_6_1_NC 20509.31251
0 M 2020 1000 NAC 6_1_NC_T 0_M_2020_1000 NAC_6_1_NC_T 179.81959
0 M 2020 1000 NAC 6_2 0_M_2020_1000 NAC_6_2 20329.49292
0 M 2020 1000 NAC 6_2_C 0_M_2020_1000 NAC_6_2_C 679.35297
0 M 2020 1000 NAC 6_2_NC 0_M_2020_1000 NAC_6_2_NC 108420.02075
0 M 2020 1000 NAC 6_2_NC_T 0_M_2020_1000 NAC_6_2_NC_T 39487.34773
0 M 2020 1000 NAC 6_3 0_M_2020_1000 NAC_6_3 6257.55029
0 M 2020 1000 NAC 6_3_1 0_M_2020_1000 NAC_6_3_1 33229.79744
0 M 2020 1000 NAC 6_4 0_M_2020_1000 NAC_6_4 18599.00077
0 M 2020 1000 NAC 6_4_1 0_M_2020_1000 NAC_6_4_1 47210.24837
0 M 2020 1000 NAC 6_4_2 0_M_2020_1000 NAC_6_4_2 8081.79277
0 M 2020 1000 NAC 6_4_3 0_M_2020_1000 NAC_6_4_3 21722.42465
0 M 2020 1000 NAC 7 0_M_2020_1000 NAC_7 5685.69296
0 M 2020 1000 NAC 7_1 0_M_2020_1000 NAC_7_1 11290.08488
0 M 2020 1000 NAC 7_2 0_M_2020_1000 NAC_7_2 4746.64681
0 M 2020 1000 NAC 7_3 0_M_2020_1000 NAC_7_3 127647.05601
0 M 2020 1000 NAC 7_3_1 0_M_2020_1000 NAC_7_3_1 3882.34812
0 M 2020 1000 NAC 7_3_2 0_M_2020_1000 NAC_7_3_2 123711.44618
0 M 2020 1000 NAC 7_3_3 0_M_2020_1000 NAC_7_3_3 120493.59722
0 M 2020 1000 NAC 7_3_4 0_M_2020_1000 NAC_7_3_4 111403.37074
0 M 2020 1000 NAC 7_4 0_M_2020_1000 NAC_7_4 3217.84896
0 M 2020 1000 NAC 8 0_M_2020_1000 NAC_8 53.26171
0 M 2020 1000 NAC 8_1 0_M_2020_1000 NAC_8_1 584.14308
0 M 2020 1000 NAC 8_2 0_M_2020_1000 NAC_8_2 273.72276
0 M 2020 1000 NAC 9 0_M_2020_1000 NAC_9 310.42032
0 M 2020 1000 NAC 10 0_M_2020_1000 NAC_10 39007.71955
0 M 2020 1000 NAC 10_1 0_M_2020_1000 NAC_10_1 382526.69882
0 M 2020 1000 NAC 10_1_1 0_M_2020_1000 NAC_10_1_1 127952.56496
0 M 2020 1000 NAC 10_1_2 0_M_2020_1000 NAC_10_1_2 8731.08353
0 M 2020 1000 NAC 10_1_3 0_M_2020_1000 NAC_10_1_3 21825.56126
0 M 2020 1000 NAC 10_1_4 0_M_2020_1000 NAC_10_1_4 57307.28285
0 M 2020 1000 NAC 10_2 0_M_2020_1000 NAC_10_2 40088.63732
0 M 2020 1000 NAC 10_3 0_M_2020_1000 NAC_10_3 9843.25228
0 M 2020 1000 NAC 10_3_1 0_M_2020_1000 NAC_10_3_1 241251.36158
0 M 2020 1000 NAC 10_3_2 0_M_2020_1000 NAC_10_3_2 76461.65728
0 M 2020 1000 NAC 10_3_3 0_M_2020_1000 NAC_10_3_3 40959.29872
0 M 2020 1000 NAC 10_3_4 0_M_2020_1000 NAC_10_3_4 121657.84657
0 M 2020 1000 NAC 10_4 0_M_2020_1000 NAC_10_4 2172.55901
0 X 2019 1000 m3 1 0_X_2019_1000 m3_1 1945.8829831728
0 X 2019 1000 m3 1_1 0_X_2019_1000 m3_1_1 213.2076865247
0 X 2019 1000 m3 1_2 0_X_2019_1000 m3_1_2 59.5831604
0 X 2019 1000 m3 1_2_C 0_X_2019_1000 m3_1_2_C 153.6245261247
0 X 2019 1000 m3 1_2_NC 0_X_2019_1000 m3_1_2_NC 1732.675296648
0 X 2019 1000 m3 1_2_NC_T 0_X_2019_1000 m3_1_2_NC_T 1181.6328147156
0 X 2019 1000 mt 2 0_X_2019_1000 mt_2 551.0424819325
0 X 2019 1000 m3 3 0_X_2019_1000 m3_3 0.1442222222
0 X 2019 1000 m3 3_1 0_X_2019_1000 m3_3_1 1.64697517
0 X 2019 1000 m3 3_2 0_X_2019_1000 m3_3_2 963.1523495282
0 X 2019 1000 mt 4 0_X_2019_1000 mt_4 772.98912584
0 X 2019 1000 mt 4_1 0_X_2019_1000 mt_4_1 190.1632236882
0 X 2019 1000 mt 4_2 0_X_2019_1000 mt_4_2 0
0 X 2019 1000 m3 5 0_X_2019_1000 m3_5 254.91050753
0 X 2019 1000 m3 5_C 0_X_2019_1000 m3_5_C 208.54243779
0 X 2019 1000 m3 5_NC 0_X_2019_1000 m3_5_NC 46.36806974
0 X 2019 1000 m3 5_NC_T 0_X_2019_1000 m3_5_NC_T 1076.8927845708
0 X 2019 1000 m3 6 0_X_2019_1000 m3_6 962.3771787945
0 X 2019 1000 m3 6_1 0_X_2019_1000 m3_6_1 114.5156057762
0 X 2019 1000 m3 6_1_C 0_X_2019_1000 m3_6_1_C 0.7084790571
0 X 2019 1000 m3 6_1_NC 0_X_2019_1000 m3_6_1_NC 22.7219210786
0 X 2019 1000 m3 6_1_NC_T 0_X_2019_1000 m3_6_1_NC_T 1.3676708017
0 X 2019 1000 m3 6_2 0_X_2019_1000 m3_6_2 21.3542502769
0 X 2019 1000 m3 6_2_C 0_X_2019_1000 m3_6_2_C 0.7395521077
0 X 2019 1000 m3 6_2_NC 0_X_2019_1000 m3_6_2_NC 237.9140252421
0 X 2019 1000 m3 6_2_NC_T 0_X_2019_1000 m3_6_2_NC_T 72.545682991
0 X 2019 1000 m3 6_3 0_X_2019_1000 m3_6_3 66.4445159291
0 X 2019 1000 m3 6_3_1 0_X_2019_1000 m3_6_3_1 6.1011670619
0 X 2019 1000 m3 6_4 0_X_2019_1000 m3_6_4 0.1314851247
0 X 2019 1000 m3 6_4_1 0_X_2019_1000 m3_6_4_1 6.0613911787
0 X 2019 1000 m3 6_4_2 0_X_2019_1000 m3_6_4_2 1.4596907472
0 X 2019 1000 m3 6_4_3 0_X_2019_1000 m3_6_4_3 159.3069510725
0 X 2019 1000 mt 7 0_X_2019_1000 mt_7 8.9706770297
0 X 2019 1000 mt 7_1 0_X_2019_1000 mt_7_1 148.1750246986
0 X 2019 1000 mt 7_2 0_X_2019_1000 mt_7_2 2.1612493442
0 X 2019 1000 mt 7_3 0_X_2019_1000 mt_7_3 8.46666935
0 X 2019 1000 mt 7_3_1 0_X_2019_1000 mt_7_3_1 4.84301379
0 X 2019 1000 mt 7_3_2 0_X_2019_1000 mt_7_3_2 3.62330308
0 X 2019 1000 mt 7_3_3 0_X_2019_1000 mt_7_3_3 3.60670308
0 X 2019 1000 mt 7_3_4 0_X_2019_1000 mt_7_3_4 1.75679608
0 X 2019 1000 mt 7_4 0_X_2019_1000 mt_7_4 0.0166
0 X 2019 1000 mt 8 0_X_2019_1000 mt_8 0.00035248
0 X 2019 1000 mt 8_1 0_X_2019_1000 mt_8_1 0.01274559
0 X 2019 1000 mt 8_2 0_X_2019_1000 mt_8_2 0.00180665
0 X 2019 1000 mt 9 0_X_2019_1000 mt_9 0.01093894
0 X 2019 1000 mt 10 0_X_2019_1000 mt_10 148.45833238
0 X 2019 1000 mt 10_1 0_X_2019_1000 mt_10_1 642.15351138
0 X 2019 1000 mt 10_1_1 0_X_2019_1000 mt_10_1_1 397.30136118
0 X 2019 1000 mt 10_1_2 0_X_2019_1000 mt_10_1_2 136.60661966
0 X 2019 1000 mt 10_1_3 0_X_2019_1000 mt_10_1_3 20.14329417
0 X 2019 1000 mt 10_1_4 0_X_2019_1000 mt_10_1_4 94.24322051
0 X 2019 1000 mt 10_2 0_X_2019_1000 mt_10_2 146.30822684
0 X 2019 1000 mt 10_3 0_X_2019_1000 mt_10_3 4.61185077
0 X 2019 1000 mt 10_3_1 0_X_2019_1000 mt_10_3_1 240.02965169
0 X 2019 1000 mt 10_3_2 0_X_2019_1000 mt_10_3_2 1.83560901
0 X 2019 1000 mt 10_3_3 0_X_2019_1000 mt_10_3_3 234.58955987
0 X 2019 1000 mt 10_3_4 0_X_2019_1000 mt_10_3_4 2.28964557
0 X 2019 1000 mt 10_4 0_X_2019_1000 mt_10_4 1.31483724
0 X 2019 1000 NAC 1 0_X_2019_1000 NAC_1 153026.3604883
0 X 2019 1000 NAC 1_1 0_X_2019_1000 NAC_1_1 17289.5430118
0 X 2019 1000 NAC 1_2 0_X_2019_1000 NAC_1_2 3491.2115661
0 X 2019 1000 NAC 1_2_C 0_X_2019_1000 NAC_1_2_C 13798.3314457
0 X 2019 1000 NAC 1_2_NC 0_X_2019_1000 NAC_1_2_NC 135736.8174765
0 X 2019 1000 NAC 1_2_NC_T 0_X_2019_1000 NAC_1_2_NC_T 81418.0345073
0 X 2019 1000 NAC 2 0_X_2019_1000 NAC_2 54318.7829692
0 X 2019 1000 NAC 3 0_X_2019_1000 NAC_3 44.0078095
0 X 2019 1000 NAC 3_1 0_X_2019_1000 NAC_3_1 889.3876
0 X 2019 1000 NAC 3_2 0_X_2019_1000 NAC_3_2 36186.72346
0 X 2019 1000 NAC 4 0_X_2019_1000 NAC_4 29019.33186
0 X 2019 1000 NAC 4_1 0_X_2019_1000 NAC_4_1 7167.3916
0 X 2019 1000 NAC 4_2 0_X_2019_1000 NAC_4_2 0
0 X 2019 1000 NAC 5 0_X_2019_1000 NAC_5 50258.13652
0 X 2019 1000 NAC 5_C 0_X_2019_1000 NAC_5_C 41402.37835
0 X 2019 1000 NAC 5_NC 0_X_2019_1000 NAC_5_NC 8855.75817
0 X 2019 1000 NAC 5_NC_T 0_X_2019_1000 NAC_5_NC_T 205290.9965569
0 X 2019 1000 NAC 6 0_X_2019_1000 NAC_6 158039.3075876
0 X 2019 1000 NAC 6_1 0_X_2019_1000 NAC_6_1 47251.6889693
0 X 2019 1000 NAC 6_1_C 0_X_2019_1000 NAC_6_1_C 1169.22806
0 X 2019 1000 NAC 6_1_NC 0_X_2019_1000 NAC_6_1_NC 33409.76081
0 X 2019 1000 NAC 6_1_NC_T 0_X_2019_1000 NAC_6_1_NC_T 1756.11871
0 X 2019 1000 NAC 6_2 0_X_2019_1000 NAC_6_2 31653.6421
0 X 2019 1000 NAC 6_2_C 0_X_2019_1000 NAC_6_2_C 2797.84999
0 X 2019 1000 NAC 6_2_NC 0_X_2019_1000 NAC_6_2_NC 104497.30494
0 X 2019 1000 NAC 6_2_NC_T 0_X_2019_1000 NAC_6_2_NC_T 51697.20536
0 X 2019 1000 NAC 6_3 0_X_2019_1000 NAC_6_3 43924.52552
0 X 2019 1000 NAC 6_3_1 0_X_2019_1000 NAC_6_3_1 7772.67984
0 X 2019 1000 NAC 6_4 0_X_2019_1000 NAC_6_4 183.03
0 X 2019 1000 NAC 6_4_1 0_X_2019_1000 NAC_6_4_1 1819.38648
0 X 2019 1000 NAC 6_4_2 0_X_2019_1000 NAC_6_4_2 400.20039
0 X 2019 1000 NAC 6_4_3 0_X_2019_1000 NAC_6_4_3 50980.7131
0 X 2019 1000 NAC 7 0_X_2019_1000 NAC_7 6125.41892
0 X 2019 1000 NAC 7_1 0_X_2019_1000 NAC_7_1 43804.53677
0 X 2019 1000 NAC 7_2 0_X_2019_1000 NAC_7_2 1050.75741
0 X 2019 1000 NAC 7_3 0_X_2019_1000 NAC_7_3 2548.13544
0 X 2019 1000 NAC 7_3_1 0_X_2019_1000 NAC_7_3_1 312.91597
0 X 2019 1000 NAC 7_3_2 0_X_2019_1000 NAC_7_3_2 2231.5791
0 X 2019 1000 NAC 7_3_3 0_X_2019_1000 NAC_7_3_3 2227.01839
0 X 2019 1000 NAC 7_3_4 0_X_2019_1000 NAC_7_3_4 1260.32921
0 X 2019 1000 NAC 7_4 0_X_2019_1000 NAC_7_4 4.56071
0 X 2019 1000 NAC 8 0_X_2019_1000 NAC_8 3.64037
0 X 2019 1000 NAC 8_1 0_X_2019_1000 NAC_8_1 38.61978
0 X 2019 1000 NAC 8_2 0_X_2019_1000 NAC_8_2 23.08227
0 X 2019 1000 NAC 9 0_X_2019_1000 NAC_9 15.53751
0 X 2019 1000 NAC 10 0_X_2019_1000 NAC_10 14879.56076
0 X 2019 1000 NAC 10_1 0_X_2019_1000 NAC_10_1 461498.57681
0 X 2019 1000 NAC 10_1_1 0_X_2019_1000 NAC_10_1_1 299115.28344
0 X 2019 1000 NAC 10_1_2 0_X_2019_1000 NAC_10_1_2 67747.67003
0 X 2019 1000 NAC 10_1_3 0_X_2019_1000 NAC_10_1_3 13033.05075
0 X 2019 1000 NAC 10_1_4 0_X_2019_1000 NAC_10_1_4 80908.02705
0 X 2019 1000 NAC 10_2 0_X_2019_1000 NAC_10_2 137426.53561
0 X 2019 1000 NAC 10_3 0_X_2019_1000 NAC_10_3 4345.55248
0 X 2019 1000 NAC 10_3_1 0_X_2019_1000 NAC_10_3_1 152938.18709
0 X 2019 1000 NAC 10_3_2 0_X_2019_1000 NAC_10_3_2 857.17198
0 X 2019 1000 NAC 10_3_3 0_X_2019_1000 NAC_10_3_3 148099.95063
0 X 2019 1000 NAC 10_3_4 0_X_2019_1000 NAC_10_3_4 3206.37919
0 X 2019 1000 NAC 10_4 0_X_2019_1000 NAC_10_4 774.68529
0 X 2020 1000 m3 1 0_X_2020_1000 m3_1 1584.2072887998
0 X 2020 1000 m3 1_1 0_X_2020_1000 m3_1_1 214.6767322736
0 X 2020 1000 m3 1_2 0_X_2020_1000 m3_1_2 38.3156811231
0 X 2020 1000 m3 1_2_C 0_X_2020_1000 m3_1_2_C 176.3610511505
0 X 2020 1000 m3 1_2_NC 0_X_2020_1000 m3_1_2_NC 1369.5305565262
0 X 2020 1000 m3 1_2_NC_T 0_X_2020_1000 m3_1_2_NC_T 831.7607144957
0 X 2020 1000 mt 2 0_X_2020_1000 mt_2 537.7698420305
0 X 2020 1000 m3 3 0_X_2020_1000 m3_3 0.0373411111
0 X 2020 1000 m3 3_1 0_X_2020_1000 m3_3_1 0.89693866
0 X 2020 1000 m3 3_2 0_X_2020_1000 m3_3_2 844.8932183547
0 X 2020 1000 mt 4 0_X_2020_1000 mt_4 717.81874768
0 X 2020 1000 mt 4_1 0_X_2020_1000 mt_4_1 127.0744706747
0 X 2020 1000 mt 4_2 0_X_2020_1000 mt_4_2 0
0 X 2020 1000 m3 5 0_X_2020_1000 m3_5 244.41347977
0 X 2020 1000 m3 5_C 0_X_2020_1000 m3_5_C 198.49191079
0 X 2020 1000 m3 5_NC 0_X_2020_1000 m3_5_NC 45.92156898
0 X 2020 1000 m3 5_NC_T 0_X_2020_1000 m3_5_NC_T 930.9540002938
0 X 2020 1000 m3 6 0_X_2020_1000 m3_6 829.7594383273
0 X 2020 1000 m3 6_1 0_X_2020_1000 m3_6_1 101.1945619666
0 X 2020 1000 m3 6_1_C 0_X_2020_1000 m3_6_1_C 0.4284748571
0 X 2020 1000 m3 6_1_NC 0_X_2020_1000 m3_6_1_NC 21.6418179168
0 X 2020 1000 m3 6_1_NC_T 0_X_2020_1000 m3_6_1_NC_T 1.2038416245
0 X 2020 1000 m3 6_2 0_X_2020_1000 m3_6_2 20.4379762923
0 X 2020 1000 m3 6_2_C 0_X_2020_1000 m3_6_2_C 0.5879188615
0 X 2020 1000 m3 6_2_NC 0_X_2020_1000 m3_6_2_NC 227.7802590774
0 X 2020 1000 m3 6_2_NC_T 0_X_2020_1000 m3_6_2_NC_T 78.3966601715
0 X 2020 1000 m3 6_3 0_X_2020_1000 m3_6_3 73.3689959122
0 X 2020 1000 m3 6_3_1 0_X_2020_1000 m3_6_3_1 5.0276642593
0 X 2020 1000 m3 6_4 0_X_2020_1000 m3_6_4 0.1434580998
0 X 2020 1000 m3 6_4_1 0_X_2020_1000 m3_6_4_1 5.3835725607
0 X 2020 1000 m3 6_4_2 0_X_2020_1000 m3_6_4_2 1.2734645946
0 X 2020 1000 m3 6_4_3 0_X_2020_1000 m3_6_4_3 144.0000263452
0 X 2020 1000 mt 7 0_X_2020_1000 mt_7 8.2485773366
0 X 2020 1000 mt 7_1 0_X_2020_1000 mt_7_1 132.3655512669
0 X 2020 1000 mt 7_2 0_X_2020_1000 mt_7_2 3.3858977417
0 X 2020 1000 mt 7_3 0_X_2020_1000 mt_7_3 14.75232078
0 X 2020 1000 mt 7_3_1 0_X_2020_1000 mt_7_3_1 6.19735456
0 X 2020 1000 mt 7_3_2 0_X_2020_1000 mt_7_3_2 8.55469097
0 X 2020 1000 mt 7_3_3 0_X_2020_1000 mt_7_3_3 8.41138697
0 X 2020 1000 mt 7_3_4 0_X_2020_1000 mt_7_3_4 6.02960497
0 X 2020 1000 mt 7_4 0_X_2020_1000 mt_7_4 0.143304
0 X 2020 1000 mt 8 0_X_2020_1000 mt_8 0.00027525
0 X 2020 1000 mt 8_1 0_X_2020_1000 mt_8_1 0.0099353
0 X 2020 1000 mt 8_2 0_X_2020_1000 mt_8_2 0.00184291
0 X 2020 1000 mt 9 0_X_2020_1000 mt_9 0.00809239
0 X 2020 1000 mt 10 0_X_2020_1000 mt_10 148.10909234
0 X 2020 1000 mt 10_1 0_X_2020_1000 mt_10_1 629.98398719
0 X 2020 1000 mt 10_1_1 0_X_2020_1000 mt_10_1_1 379.93236356
0 X 2020 1000 mt 10_1_2 0_X_2020_1000 mt_10_1_2 114.11056178
0 X 2020 1000 mt 10_1_3 0_X_2020_1000 mt_10_1_3 13.2100517
0 X 2020 1000 mt 10_1_4 0_X_2020_1000 mt_10_1_4 100.8643294
0 X 2020 1000 mt 10_2 0_X_2020_1000 mt_10_2 151.74742068
0 X 2020 1000 mt 10_3 0_X_2020_1000 mt_10_3 5.6468734
0 X 2020 1000 mt 10_3_1 0_X_2020_1000 mt_10_3_1 244.2437404
0 X 2020 1000 mt 10_3_2 0_X_2020_1000 mt_10_3_2 0.85601058
0 X 2020 1000 mt 10_3_3 0_X_2020_1000 mt_10_3_3 238.67045899
0 X 2020 1000 mt 10_3_4 0_X_2020_1000 mt_10_3_4 4.44256628
0 X 2020 1000 mt 10_4 0_X_2020_1000 mt_10_4 0.27470455
0 X 2020 1000 NAC 1 0_X_2020_1000 NAC_1 125290.06804
0 X 2020 1000 NAC 1_1 0_X_2020_1000 NAC_1_1 15999.88526
0 X 2020 1000 NAC 1_2 0_X_2020_1000 NAC_1_2 1655.31725
0 X 2020 1000 NAC 1_2_C 0_X_2020_1000 NAC_1_2_C 14344.56801
0 X 2020 1000 NAC 1_2_NC 0_X_2020_1000 NAC_1_2_NC 109290.18278
0 X 2020 1000 NAC 1_2_NC_T 0_X_2020_1000 NAC_1_2_NC_T 57568.43439
0 X 2020 1000 NAC 2 0_X_2020_1000 NAC_2 51721.74839
0 X 2020 1000 NAC 3 0_X_2020_1000 NAC_3 11.35705
0 X 2020 1000 NAC 3_1 0_X_2020_1000 NAC_3_1 583.67645
0 X 2020 1000 NAC 3_2 0_X_2020_1000 NAC_3_2 28412.85298
0 X 2020 1000 NAC 4 0_X_2020_1000 NAC_4 23862.69268
0 X 2020 1000 NAC 4_1 0_X_2020_1000 NAC_4_1 4550.1603
0 X 2020 1000 NAC 4_2 0_X_2020_1000 NAC_4_2 0
0 X 2020 1000 NAC 5 0_X_2020_1000 NAC_5 45164.29445
0 X 2020 1000 NAC 5_C 0_X_2020_1000 NAC_5_C 37023.40481
0 X 2020 1000 NAC 5_NC 0_X_2020_1000 NAC_5_NC 8140.88964
0 X 2020 1000 NAC 5_NC_T 0_X_2020_1000 NAC_5_NC_T 178633.75461
0 X 2020 1000 NAC 6 0_X_2020_1000 NAC_6 136299.31397
0 X 2020 1000 NAC 6_1 0_X_2020_1000 NAC_6_1 42334.44064
0 X 2020 1000 NAC 6_1_C 0_X_2020_1000 NAC_6_1_C 762.50315
0 X 2020 1000 NAC 6_1_NC 0_X_2020_1000 NAC_6_1_NC 34292.65846
0 X 2020 1000 NAC 6_1_NC_T 0_X_2020_1000 NAC_6_1_NC_T 1624.71683
0 X 2020 1000 NAC 6_2 0_X_2020_1000 NAC_6_2 32667.94163
0 X 2020 1000 NAC 6_2_C 0_X_2020_1000 NAC_6_2_C 1745.65465
0 X 2020 1000 NAC 6_2_NC 0_X_2020_1000 NAC_6_2_NC 100166.82339
0 X 2020 1000 NAC 6_2_NC_T 0_X_2020_1000 NAC_6_2_NC_T 52056.68995
0 X 2020 1000 NAC 6_3 0_X_2020_1000 NAC_6_3 44908.93761
0 X 2020 1000 NAC 6_3_1 0_X_2020_1000 NAC_6_3_1 7147.75234
0 X 2020 1000 NAC 6_4 0_X_2020_1000 NAC_6_4 112.70449
0 X 2020 1000 NAC 6_4_1 0_X_2020_1000 NAC_6_4_1 1596.99096
0 X 2020 1000 NAC 6_4_2 0_X_2020_1000 NAC_6_4_2 320.02382
0 X 2020 1000 NAC 6_4_3 0_X_2020_1000 NAC_6_4_3 46513.14248
0 X 2020 1000 NAC 7 0_X_2020_1000 NAC_7 5715.80515
0 X 2020 1000 NAC 7_1 0_X_2020_1000 NAC_7_1 39436.09422
0 X 2020 1000 NAC 7_2 0_X_2020_1000 NAC_7_2 1361.24311
0 X 2020 1000 NAC 7_3 0_X_2020_1000 NAC_7_3 4667.52176
0 X 2020 1000 NAC 7_3_1 0_X_2020_1000 NAC_7_3_1 384.79594
0 X 2020 1000 NAC 7_3_2 0_X_2020_1000 NAC_7_3_2 4279.83868
0 X 2020 1000 NAC 7_3_3 0_X_2020_1000 NAC_7_3_3 4209.26508
0 X 2020 1000 NAC 7_3_4 0_X_2020_1000 NAC_7_3_4 3024.98283
0 X 2020 1000 NAC 7_4 0_X_2020_1000 NAC_7_4 70.5736
0 X 2020 1000 NAC 8 0_X_2020_1000 NAC_8 2.88714
0 X 2020 1000 NAC 8_1 0_X_2020_1000 NAC_8_1 33.95133
0 X 2020 1000 NAC 8_2 0_X_2020_1000 NAC_8_2 25.22217
0 X 2020 1000 NAC 9 0_X_2020_1000 NAC_9 8.72916
0 X 2020 1000 NAC 10 0_X_2020_1000 NAC_10 12471.04009
0 X 2020 1000 NAC 10_1 0_X_2020_1000 NAC_10_1 430824.77939
0 X 2020 1000 NAC 10_1_1 0_X_2020_1000 NAC_10_1_1 268068.4556
0 X 2020 1000 NAC 10_1_2 0_X_2020_1000 NAC_10_1_2 46513.50316
0 X 2020 1000 NAC 10_1_3 0_X_2020_1000 NAC_10_1_3 8438.4224
0 X 2020 1000 NAC 10_1_4 0_X_2020_1000 NAC_10_1_4 78462.75101
0 X 2020 1000 NAC 10_2 0_X_2020_1000 NAC_10_2 134653.77903
0 X 2020 1000 NAC 10_3 0_X_2020_1000 NAC_10_3 5217.71026
0 X 2020 1000 NAC 10_3_1 0_X_2020_1000 NAC_10_3_1 154186.91312
0 X 2020 1000 NAC 10_3_2 0_X_2020_1000 NAC_10_3_2 389.28098
0 X 2020 1000 NAC 10_3_3 0_X_2020_1000 NAC_10_3_3 148370.1716
0 X 2020 1000 NAC 10_3_4 0_X_2020_1000 NAC_10_3_4 5237.02584
0 X 2020 1000 NAC 10_4 0_X_2020_1000 NAC_10_4 190.4347
0 M 225194.5780616 1000 NAC 11_1 0_M_225194.5780616_1000 NAC_11_1 8498.6393562 JQ3
0 M 225194.5780616 1000 NAC 11_1_C 0_M_225194.5780616_1000 NAC_11_1_C 7565.2663236
0 M 225194.5780616 1000 NAC 11_1_NC 0_M_225194.5780616_1000 NAC_11_1_NC 371.8471792
0 M 225194.5780616 1000 NAC 11_1_NC_T 0_M_225194.5780616_1000 NAC_11_1_NC_T 19825.7924866
0 M 225194.5780616 1000 NAC 11_2 0_M_225194.5780616_1000 NAC_11_2 2721.1820564
0 M 225194.5780616 1000 NAC 11_3 0_M_225194.5780616_1000 NAC_11_3 34437.7207205
0 M 225194.5780616 1000 NAC 11_4 0_M_225194.5780616_1000 NAC_11_4 117862.4124742
0 M 225194.5780616 1000 NAC 11_5 0_M_225194.5780616_1000 NAC_11_5 3097.9477234
0 M 225194.5780616 1000 NAC 11_6 0_M_225194.5780616_1000 NAC_11_6 31185.6169207
0 M 225194.5780616 1000 NAC 11_7 0_M_225194.5780616_1000 NAC_11_7 171517.5977573
0 M 225194.5780616 1000 NAC 11_7_1 0_M_225194.5780616_1000 NAC_11_7_1 3431.3011798
0 M 225194.5780616 1000 NAC 12_1 0_M_225194.5780616_1000 NAC_12_1 49340.0693539
0 M 225194.5780616 1000 NAC 12_2 0_M_225194.5780616_1000 NAC_12_2 58876.3784718
0 M 225194.5780616 1000 NAC 12_3 0_M_225194.5780616_1000 NAC_12_3 42409.5669166
0 M 225194.5780616 1000 NAC 12_4 0_M_225194.5780616_1000 NAC_12_4 639.5032018
0 M 225194.5780616 1000 NAC 12_5 0_M_225194.5780616_1000 NAC_12_5 1854.1764956
0 M 225194.5780616 1000 NAC 12_6 0_M_225194.5780616_1000 NAC_12_6 1220.292084
0 M 225194.5780616 1000 NAC 12_6_1 0_M_225194.5780616_1000 NAC_12_6_1 0
0 M 225194.5780616 1000 NAC 12_6_2 0_M_225194.5780616_1000 NAC_12_6_2 0
0 M 225194.5780616 1000 NAC 12_6_3 0_M_225194.5780616_1000 NAC_12_6_3 0
0 M 224348.79812 1000 NAC 11_1 0_M_224348.79812_1000 NAC_11_1 8759.97661
0 M 224348.79812 1000 NAC 11_1_C 0_M_224348.79812_1000 NAC_11_1_C 5420.48446
0 M 224348.79812 1000 NAC 11_1_NC 0_M_224348.79812_1000 NAC_11_1_NC 353.40527
0 M 224348.79812 1000 NAC 11_1_NC_T 0_M_224348.79812_1000 NAC_11_1_NC_T 18990.85677
0 M 224348.79812 1000 NAC 11_2 0_M_224348.79812_1000 NAC_11_2 2553.97966
0 M 224348.79812 1000 NAC 11_3 0_M_224348.79812_1000 NAC_11_3 40034.54198
0 M 224348.79812 1000 NAC 11_4 0_M_224348.79812_1000 NAC_11_4 114875.93467
0 M 224348.79812 1000 NAC 11_5 0_M_224348.79812_1000 NAC_11_5 3296.85426
0 M 224348.79812 1000 NAC 11_6 0_M_224348.79812_1000 NAC_11_6 30416.16971
0 M 224348.79812 1000 NAC 11_7 0_M_224348.79812_1000 NAC_11_7 168779.71517
0 M 224348.79812 1000 NAC 11_7_1 0_M_224348.79812_1000 NAC_11_7_1 3505.66883
0 M 224348.79812 1000 NAC 12_1 0_M_224348.79812_1000 NAC_12_1 50742.68508
0 M 224348.79812 1000 NAC 12_2 0_M_224348.79812_1000 NAC_12_2 58449.34189
0 M 224348.79812 1000 NAC 12_3 0_M_224348.79812_1000 NAC_12_3 37369.71298
0 M 224348.79812 1000 NAC 12_4 0_M_224348.79812_1000 NAC_12_4 401.90489
0 M 224348.79812 1000 NAC 12_5 0_M_224348.79812_1000 NAC_12_5 1793.08425
0 M 224348.79812 1000 NAC 12_6 0_M_224348.79812_1000 NAC_12_6 1164.95375
0 M 224348.79812 1000 NAC 12_6_1 0_M_224348.79812_1000 NAC_12_6_1 0
0 M 224348.79812 1000 NAC 12_6_2 0_M_224348.79812_1000 NAC_12_6_2 0
0 M 224348.79812 1000 NAC 12_6_3 0_M_224348.79812_1000 NAC_12_6_3 0
0 X 225194.5780616 1000 NAC 11_1 0_X_225194.5780616_1000 NAC_11_1 1865.7889268
0 X 225194.5780616 1000 NAC 11_1_C 0_X_225194.5780616_1000 NAC_11_1_C 3988.4329538
0 X 225194.5780616 1000 NAC 11_1_NC 0_X_225194.5780616_1000 NAC_11_1_NC 306.635285
0 X 225194.5780616 1000 NAC 11_1_NC_T 0_X_225194.5780616_1000 NAC_11_1_NC_T 21551.8096675
0 X 225194.5780616 1000 NAC 11_2 0_X_225194.5780616_1000 NAC_11_2 10455.5570918
0 X 225194.5780616 1000 NAC 11_3 0_X_225194.5780616_1000 NAC_11_3 82097.343712
0 X 225194.5780616 1000 NAC 11_4 0_X_225194.5780616_1000 NAC_11_4 181576.7148369
0 X 225194.5780616 1000 NAC 11_5 0_X_225194.5780616_1000 NAC_11_5 30266.6687995
0 X 225194.5780616 1000 NAC 11_6 0_X_225194.5780616_1000 NAC_11_6 45405.5442054
0 X 225194.5780616 1000 NAC 11_7 0_X_225194.5780616_1000 NAC_11_7 194757.789661
0 X 225194.5780616 1000 NAC 11_7_1 0_X_225194.5780616_1000 NAC_11_7_1 186.7748014
0 X 225194.5780616 1000 NAC 12_1 0_X_225194.5780616_1000 NAC_12_1 84679.7205957
0 X 225194.5780616 1000 NAC 12_2 0_X_225194.5780616_1000 NAC_12_2 67994.8264071
0 X 225194.5780616 1000 NAC 12_3 0_X_225194.5780616_1000 NAC_12_3 25015.5313818
0 X 225194.5780616 1000 NAC 12_4 0_X_225194.5780616_1000 NAC_12_4 1025.8135622
0 X 225194.5780616 1000 NAC 12_5 0_X_225194.5780616_1000 NAC_12_5 119.6144052
0 X 225194.5780616 1000 NAC 12_6 0_X_225194.5780616_1000 NAC_12_6 197.2624134
0 X 225194.5780616 1000 NAC 12_6_1 0_X_225194.5780616_1000 NAC_12_6_1 0
0 X 225194.5780616 1000 NAC 12_6_2 0_X_225194.5780616_1000 NAC_12_6_2 0
0 X 225194.5780616 1000 NAC 12_6_3 0_X_225194.5780616_1000 NAC_12_6_3 0
0 X 224348.79812 1000 NAC 11_1 0_X_224348.79812_1000 NAC_11_1 1807.57246
0 X 224348.79812 1000 NAC 11_1_C 0_X_224348.79812_1000 NAC_11_1_C 2976.2988
0 X 224348.79812 1000 NAC 11_1_NC 0_X_224348.79812_1000 NAC_11_1_NC 577.16421
0 X 224348.79812 1000 NAC 11_1_NC_T 0_X_224348.79812_1000 NAC_11_1_NC_T 21080.36087
0 X 224348.79812 1000 NAC 11_2 0_X_224348.79812_1000 NAC_11_2 10349.22135
0 X 224348.79812 1000 NAC 11_3 0_X_224348.79812_1000 NAC_11_3 84137.88895
0 X 224348.79812 1000 NAC 11_4 0_X_224348.79812_1000 NAC_11_4 143285.2991
0 X 224348.79812 1000 NAC 11_5 0_X_224348.79812_1000 NAC_11_5 33241.59845
0 X 224348.79812 1000 NAC 11_6 0_X_224348.79812_1000 NAC_11_6 48954.32821
0 X 224348.79812 1000 NAC 11_7 0_X_224348.79812_1000 NAC_11_7 183152.07784
0 X 224348.79812 1000 NAC 11_7_1 0_X_224348.79812_1000 NAC_11_7_1 162.28288
0 X 224348.79812 1000 NAC 12_1 0_X_224348.79812_1000 NAC_12_1 76158.47987
0 X 224348.79812 1000 NAC 12_2 0_X_224348.79812_1000 NAC_12_2 66329.38829
0 X 224348.79812 1000 NAC 12_3 0_X_224348.79812_1000 NAC_12_3 24243.01143
0 X 224348.79812 1000 NAC 12_4 0_X_224348.79812_1000 NAC_12_4 688.46579
0 X 224348.79812 1000 NAC 12_5 0_X_224348.79812_1000 NAC_12_5 38.35396
0 X 224348.79812 1000 NAC 12_6 0_X_224348.79812_1000 NAC_12_6 182.34195
0 X 224348.79812 1000 NAC 12_6_1 0_X_224348.79812_1000 NAC_12_6_1 0
0 X 224348.79812 1000 NAC 12_6_2 0_X_224348.79812_1000 NAC_12_6_2 0
0 X 224348.79812 1000 NAC 12_6_3 0_X_224348.79812_1000 NAC_12_6_3 0
0 M 2019 1000 m3 ST_1_2_C 0_M_2019_1000 m3_ST_1_2_C 345.6870307002 ECEEU
0 M 2019 1000 m3 ST_1_2_C_1 0_M_2019_1000 m3_ST_1_2_C_1 314.156891126
0 M 2019 1000 m3 ST_1_2_C_1_1 0_M_2019_1000 m3_ST_1_2_C_1_1 106.7096976883
0 M 2019 1000 m3 ST_1_2_C_2_1 0_M_2019_1000 m3_ST_1_2_C_2_1 207.4471934377
0 M 2019 1000 m3 ST_1_2_C_2 0_M_2019_1000 m3_ST_1_2_C_2 5.1072789535
0 M 2019 1000 m3 ST_1_2_C_1_2 0_M_2019_1000 m3_ST_1_2_C_1_2 3.1257302326
0 M 2019 1000 m3 ST_1_2_C_2_2 0_M_2019_1000 m3_ST_1_2_C_2_2 1.9815487209
0 M 2019 1000 m3 ST_1_2_C_3 0_M_2019_1000 m3_ST_1_2_C_3 0
0 M 2019 1000 m3 ST_1_2_C_1_3 0_M_2019_1000 m3_ST_1_2_C_1_3 0
0 M 2019 1000 m3 ST_1_2_C_2_3 0_M_2019_1000 m3_ST_1_2_C_2_3 0
0 M 2019 1000 m3 ST_1_2_NC 0_M_2019_1000 m3_ST_1_2_NC 114.5347464512
0 M 2019 1000 m3 ST_1_2_NC_1 0_M_2019_1000 m3_ST_1_2_NC_1 15.6153828839
0 M 2019 1000 m3 ST_1_2_NC_1_1 0_M_2019_1000 m3_ST_1_2_NC_1_1 37.0987679592
0 M 2019 1000 m3 ST_1_2_NC_2_1 0_M_2019_1000 m3_ST_1_2_NC_2_1 0.0738959596
0 M 2019 1000 m3 ST_1_2_NC_2 0_M_2019_1000 m3_ST_1_2_NC_2 0.0409454545
0 M 2019 1000 m3 ST_1_2_NC_1_2 0_M_2019_1000 m3_ST_1_2_NC_1_2 0.0329505051
0 M 2019 1000 m3 ST_1_2_NC_2_2 0_M_2019_1000 m3_ST_1_2_NC_2_2 12.0917875
0 M 2019 1000 m3 ST_1_2_NC_3 0_M_2019_1000 m3_ST_1_2_NC_3 0.0010181818
0 M 2019 1000 m3 ST_1_2_NC_1_3 0_M_2019_1000 m3_ST_1_2_NC_1_3 745.3894550446
0 M 2019 1000 m3 ST_1_2_NC_2_3 0_M_2019_1000 m3_ST_1_2_NC_2_3 727.0156554073
0 M 2019 1000 m3 ST_1_2_NC_4 0_M_2019_1000 m3_ST_1_2_NC_4 2.6405094436
0 M 2019 1000 m3 ST_1_2_NC_5 0_M_2019_1000 m3_ST_1_2_NC_5 106.2737542351
0 M 2019 1000 m3 ST_5_C 0_M_2019_1000 m3_ST_5_C 37.9484068243
0 M 2019 1000 m3 ST_5_C_1 0_M_2019_1000 m3_ST_5_C_1 39.3317745829
0 M 2019 1000 m3 ST_5_C_2 0_M_2019_1000 m3_ST_5_C_2 0.2277334143
0 M 2019 1000 m3 ST_5_NC 0_M_2019_1000 m3_ST_5_NC 0.2370275143
0 M 2019 1000 m3 ST_5_NC_1 0_M_2019_1000 m3_ST_5_NC_1 11.5501488143
0 M 2019 1000 m3 ST_5_NC_2 0_M_2019_1000 m3_ST_5_NC_2 5.1470662171
0 M 2019 1000 m3 ST_5_NC_3 0_M_2019_1000 m3_ST_5_NC_3 0.2103303
0 M 2019 1000 m3 ST_5_NC_4 0_M_2019_1000 m3_ST_5_NC_4 0
0 M 2019 1000 m3 ST_5_NC_5 0_M_2019_1000 m3_ST_5_NC_5 0
0 M 2019 1000 m3 ST_5_NC_6 0_M_2019_1000 m3_ST_5_NC_6 3
0 M 2019 1000 m3 ST_5_NC_7 0_M_2019_1000 m3_ST_5_NC_7 0
0 M 2019 1000 NAC ST_1_2_C 0_M_2019_1000 NAC_ST_1_2_C 21701.3278822
0 M 2019 1000 NAC ST_1_2_C_1 0_M_2019_1000 NAC_ST_1_2_C_1 18278.3341952
0 M 2019 1000 NAC ST_1_2_C_1_1 0_M_2019_1000 NAC_ST_1_2_C_1_1 5841.626921
0 M 2019 1000 NAC ST_1_2_C_2_1 0_M_2019_1000 NAC_ST_1_2_C_2_1 12436.7072742
0 M 2019 1000 NAC ST_1_2_C_2 0_M_2019_1000 NAC_ST_1_2_C_2 399.6444768
0 M 2019 1000 NAC ST_1_2_C_1_2 0_M_2019_1000 NAC_ST_1_2_C_1_2 111.2373901
0 M 2019 1000 NAC ST_1_2_C_2_2 0_M_2019_1000 NAC_ST_1_2_C_2_2 288.4070867
0 M 2019 1000 NAC ST_1_2_C_3 0_M_2019_1000 NAC_ST_1_2_C_3 0
0 M 2019 1000 NAC ST_1_2_C_1_3 0_M_2019_1000 NAC_ST_1_2_C_1_3 0
0 M 2019 1000 NAC ST_1_2_C_2_3 0_M_2019_1000 NAC_ST_1_2_C_2_3 0
0 M 2019 1000 NAC ST_1_2_NC 0_M_2019_1000 NAC_ST_1_2_NC 18498.1302682
0 M 2019 1000 NAC ST_1_2_NC_1 0_M_2019_1000 NAC_ST_1_2_NC_1 7229.8335831
0 M 2019 1000 NAC ST_1_2_NC_1_1 0_M_2019_1000 NAC_ST_1_2_NC_1_1 1939.6768323
0 M 2019 1000 NAC ST_1_2_NC_2_1 0_M_2019_1000 NAC_ST_1_2_NC_2_1 30.98097
0 M 2019 1000 NAC ST_1_2_NC_2 0_M_2019_1000 NAC_ST_1_2_NC_2 18.45961
0 M 2019 1000 NAC ST_1_2_NC_1_2 0_M_2019_1000 NAC_ST_1_2_NC_1_2 12.52136
0 M 2019 1000 NAC ST_1_2_NC_2_2 0_M_2019_1000 NAC_ST_1_2_NC_2_2 820.6005249
0 M 2019 1000 NAC ST_1_2_NC_3 0_M_2019_1000 NAC_ST_1_2_NC_3 7.72977
0 M 2019 1000 NAC ST_1_2_NC_1_3 0_M_2019_1000 NAC_ST_1_2_NC_1_3 112189.5977988
0 M 2019 1000 NAC ST_1_2_NC_2_3 0_M_2019_1000 NAC_ST_1_2_NC_2_3 105687.8283287
0 M 2019 1000 NAC ST_1_2_NC_4 0_M_2019_1000 NAC_ST_1_2_NC_4 859.1598145
0 M 2019 1000 NAC ST_1_2_NC_5 0_M_2019_1000 NAC_ST_1_2_NC_5 37361.7393141
0 M 2019 1000 NAC ST_5_C 0_M_2019_1000 NAC_ST_5_C 15473.4075843
0 M 2019 1000 NAC ST_5_C_1 0_M_2019_1000 NAC_ST_5_C_1 8789.5836201
0 M 2019 1000 NAC ST_5_C_2 0_M_2019_1000 NAC_ST_5_C_2 81.2414782
0 M 2019 1000 NAC ST_5_NC 0_M_2019_1000 NAC_ST_5_NC 90.9063486
0 M 2019 1000 NAC ST_5_NC_1 0_M_2019_1000 NAC_ST_5_NC_1 3842.729101
0 M 2019 1000 NAC ST_5_NC_2 0_M_2019_1000 NAC_ST_5_NC_2 2926.7770761
0 M 2019 1000 NAC ST_5_NC_3 0_M_2019_1000 NAC_ST_5_NC_3 119.364101
0 M 2019 1000 NAC ST_5_NC_4 0_M_2019_1000 NAC_ST_5_NC_4 0
0 M 2019 1000 NAC ST_5_NC_5 0_M_2019_1000 NAC_ST_5_NC_5 0
0 M 2019 1000 NAC ST_5_NC_6 0_M_2019_1000 NAC_ST_5_NC_6 3
0 M 2019 1000 NAC ST_5_NC_7 0_M_2019_1000 NAC_ST_5_NC_7 0
0 M 2020 1000 m3 ST_1_2_C 0_M_2020_1000 m3_ST_1_2_C 596.9460281239
0 M 2020 1000 m3 ST_1_2_C_1 0_M_2020_1000 m3_ST_1_2_C_1 551.3236890779
0 M 2020 1000 m3 ST_1_2_C_1_1 0_M_2020_1000 m3_ST_1_2_C_1_1 349.0085344935
0 M 2020 1000 m3 ST_1_2_C_2_1 0_M_2020_1000 m3_ST_1_2_C_2_1 202.3151545844
0 M 2020 1000 m3 ST_1_2_C_2 0_M_2020_1000 m3_ST_1_2_C_2 4.04706
0 M 2020 1000 m3 ST_1_2_C_1_2 0_M_2020_1000 m3_ST_1_2_C_1_2 1.7900130233
0 M 2020 1000 m3 ST_1_2_C_2_2 0_M_2020_1000 m3_ST_1_2_C_2_2 2.2570469767
0 M 2020 1000 m3 ST_1_2_C_3 0_M_2020_1000 m3_ST_1_2_C_3 0
0 M 2020 1000 m3 ST_1_2_C_1_3 0_M_2020_1000 m3_ST_1_2_C_1_3 0
0 M 2020 1000 m3 ST_1_2_C_2_3 0_M_2020_1000 m3_ST_1_2_C_2_3 0
0 M 2020 1000 m3 ST_1_2_NC 0_M_2020_1000 m3_ST_1_2_NC 121.1261915147
0 M 2020 1000 m3 ST_1_2_NC_1 0_M_2020_1000 m3_ST_1_2_NC_1 33.0368024018
0 M 2020 1000 m3 ST_1_2_NC_1_1 0_M_2020_1000 m3_ST_1_2_NC_1_1 40.3486926531
0 M 2020 1000 m3 ST_1_2_NC_2_1 0_M_2020_1000 m3_ST_1_2_NC_2_1 0.0669228283
0 M 2020 1000 m3 ST_1_2_NC_2 0_M_2020_1000 m3_ST_1_2_NC_2 0.0528282828
0 M 2020 1000 m3 ST_1_2_NC_1_2 0_M_2020_1000 m3_ST_1_2_NC_1_2 0.0140945455
0 M 2020 1000 m3 ST_1_2_NC_2_2 0_M_2020_1000 m3_ST_1_2_NC_2_2 11.2646184286
0 M 2020 1000 m3 ST_1_2_NC_3 0_M_2020_1000 m3_ST_1_2_NC_3 0
0 M 2020 1000 m3 ST_1_2_NC_1_3 0_M_2020_1000 m3_ST_1_2_NC_1_3 656.0415851091
0 M 2020 1000 m3 ST_1_2_NC_2_3 0_M_2020_1000 m3_ST_1_2_NC_2_3 636.4675464182
0 M 2020 1000 m3 ST_1_2_NC_4 0_M_2020_1000 m3_ST_1_2_NC_4 4.7592007273
0 M 2020 1000 m3 ST_1_2_NC_5 0_M_2020_1000 m3_ST_1_2_NC_5 97.767612476
0 M 2020 1000 m3 ST_5_C 0_M_2020_1000 m3_ST_5_C 38.9294578714
0 M 2020 1000 m3 ST_5_C_1 0_M_2020_1000 m3_ST_5_C_1 32.6767926571
0 M 2020 1000 m3 ST_5_C_2 0_M_2020_1000 m3_ST_5_C_2 0.1386279143
0 M 2020 1000 m3 ST_5_NC 0_M_2020_1000 m3_ST_5_NC 0.0980800286
0 M 2020 1000 m3 ST_5_NC_1 0_M_2020_1000 m3_ST_5_NC_1 11.0186359143
0 M 2020 1000 m3 ST_5_NC_2 0_M_2020_1000 m3_ST_5_NC_2 3.0418889286
0 M 2020 1000 m3 ST_5_NC_3 0_M_2020_1000 m3_ST_5_NC_3 0.5378777571
0 M 2020 1000 m3 ST_5_NC_4 0_M_2020_1000 m3_ST_5_NC_4 0
0 M 2020 1000 m3 ST_5_NC_5 0_M_2020_1000 m3_ST_5_NC_5 0
0 M 2020 1000 m3 ST_5_NC_6 0_M_2020_1000 m3_ST_5_NC_6 3
0 M 2020 1000 m3 ST_5_NC_7 0_M_2020_1000 m3_ST_5_NC_7 0
0 M 2020 1000 NAC ST_1_2_C 0_M_2020_1000 NAC_ST_1_2_C 32728.01914
0 M 2020 1000 NAC ST_1_2_C_1 0_M_2020_1000 NAC_ST_1_2_C_1 29077.64536
0 M 2020 1000 NAC ST_1_2_C_1_1 0_M_2020_1000 NAC_ST_1_2_C_1_1 18134.78259
0 M 2020 1000 NAC ST_1_2_C_2_1 0_M_2020_1000 NAC_ST_1_2_C_2_1 10942.86277
0 M 2020 1000 NAC ST_1_2_C_2 0_M_2020_1000 NAC_ST_1_2_C_2 318.68405
0 M 2020 1000 NAC ST_1_2_C_1_2 0_M_2020_1000 NAC_ST_1_2_C_1_2 102.23341
0 M 2020 1000 NAC ST_1_2_C_2_2 0_M_2020_1000 NAC_ST_1_2_C_2_2 216.45064
0 M 2020 1000 NAC ST_1_2_C_3 0_M_2020_1000 NAC_ST_1_2_C_3 0
0 M 2020 1000 NAC ST_1_2_C_1_3 0_M_2020_1000 NAC_ST_1_2_C_1_3 0
0 M 2020 1000 NAC ST_1_2_C_2_3 0_M_2020_1000 NAC_ST_1_2_C_2_3 0
0 M 2020 1000 NAC ST_1_2_NC 0_M_2020_1000 NAC_ST_1_2_NC 21999.91295
0 M 2020 1000 NAC ST_1_2_NC_1 0_M_2020_1000 NAC_ST_1_2_NC_1 13185.5427
0 M 2020 1000 NAC ST_1_2_NC_1_1 0_M_2020_1000 NAC_ST_1_2_NC_1_1 2201.59811
0 M 2020 1000 NAC ST_1_2_NC_2_1 0_M_2020_1000 NAC_ST_1_2_NC_2_1 31.2217
0 M 2020 1000 NAC ST_1_2_NC_2 0_M_2020_1000 NAC_ST_1_2_NC_2 23.0137
0 M 2020 1000 NAC ST_1_2_NC_1_2 0_M_2020_1000 NAC_ST_1_2_NC_1_2 8.208
0 M 2020 1000 NAC ST_1_2_NC_2_2 0_M_2020_1000 NAC_ST_1_2_NC_2_2 638.69856
0 M 2020 1000 NAC ST_1_2_NC_3 0_M_2020_1000 NAC_ST_1_2_NC_3 0
0 M 2020 1000 NAC ST_1_2_NC_1_3 0_M_2020_1000 NAC_ST_1_2_NC_1_3 94394.11828
0 M 2020 1000 NAC ST_1_2_NC_2_3 0_M_2020_1000 NAC_ST_1_2_NC_2_3 88312.67944
0 M 2020 1000 NAC ST_1_2_NC_4 0_M_2020_1000 NAC_ST_1_2_NC_4 973.62682
0 M 2020 1000 NAC ST_1_2_NC_5 0_M_2020_1000 NAC_ST_1_2_NC_5 31629.52673
0 M 2020 1000 NAC ST_5_C 0_M_2020_1000 NAC_ST_5_C 13881.48136
0 M 2020 1000 NAC ST_5_C_1 0_M_2020_1000 NAC_ST_5_C_1 7106.32969
0 M 2020 1000 NAC ST_5_C_2 0_M_2020_1000 NAC_ST_5_C_2 60.02209
0 M 2020 1000 NAC ST_5_NC 0_M_2020_1000 NAC_ST_5_NC 61.14433
0 M 2020 1000 NAC ST_5_NC_1 0_M_2020_1000 NAC_ST_5_NC_1 3080.19553
0 M 2020 1000 NAC ST_5_NC_2 0_M_2020_1000 NAC_ST_5_NC_2 1718.41709
0 M 2020 1000 NAC ST_5_NC_3 0_M_2020_1000 NAC_ST_5_NC_3 303.01617
0 M 2020 1000 NAC ST_5_NC_4 0_M_2020_1000 NAC_ST_5_NC_4 0
0 M 2020 1000 NAC ST_5_NC_5 0_M_2020_1000 NAC_ST_5_NC_5 0
0 M 2020 1000 NAC ST_5_NC_6 0_M_2020_1000 NAC_ST_5_NC_6 3
0 M 2020 1000 NAC ST_5_NC_7 0_M_2020_1000 NAC_ST_5_NC_7 0
0 X 2019 1000 m3 ST_1_2_C 0_X_2019_1000 m3_ST_1_2_C 1181.6328147156
0 X 2019 1000 m3 ST_1_2_C_1 0_X_2019_1000 m3_ST_1_2_C_1 1066.2927730584
0 X 2019 1000 m3 ST_1_2_C_1_1 0_X_2019_1000 m3_ST_1_2_C_1_1 737.8430410065
0 X 2019 1000 m3 ST_1_2_C_2_1 0_X_2019_1000 m3_ST_1_2_C_2_1 328.4497320519
0 X 2019 1000 m3 ST_1_2_C_2 0_X_2019_1000 m3_ST_1_2_C_2 25.4121665709
0 X 2019 1000 m3 ST_1_2_C_1_2 0_X_2019_1000 m3_ST_1_2_C_1_2 6.9192350826
0 X 2019 1000 m3 ST_1_2_C_2_2 0_X_2019_1000 m3_ST_1_2_C_2_2 18.4929314884
0 X 2019 1000 m3 ST_1_2_C_3 0_X_2019_1000 m3_ST_1_2_C_3 0
0 X 2019 1000 m3 ST_1_2_C_1_3 0_X_2019_1000 m3_ST_1_2_C_1_3 0
0 X 2019 1000 m3 ST_1_2_C_2_3 0_X_2019_1000 m3_ST_1_2_C_2_3 0
0 X 2019 1000 m3 ST_1_2_NC 0_X_2019_1000 m3_ST_1_2_NC 551.0424819325
0 X 2019 1000 m3 ST_1_2_NC_1 0_X_2019_1000 m3_ST_1_2_NC_1 70.4999533125
0 X 2019 1000 m3 ST_1_2_NC_1_1 0_X_2019_1000 m3_ST_1_2_NC_1_1 349.1956086755
0 X 2019 1000 m3 ST_1_2_NC_2_1 0_X_2019_1000 m3_ST_1_2_NC_2_1 0.0182727273
0 X 2019 1000 m3 ST_1_2_NC_2 0_X_2019_1000 m3_ST_1_2_NC_2 0.0182727273
0 X 2019 1000 m3 ST_1_2_NC_1_2 0_X_2019_1000 m3_ST_1_2_NC_1_2 0
0 X 2019 1000 m3 ST_1_2_NC_2_2 0_X_2019_1000 m3_ST_1_2_NC_2_2 0.5782373
0 X 2019 1000 m3 ST_1_2_NC_3 0_X_2019_1000 m3_ST_1_2_NC_3 0
0 X 2019 1000 m3 ST_1_2_NC_1_3 0_X_2019_1000 m3_ST_1_2_NC_1_3 962.3771787945
0 X 2019 1000 m3 ST_1_2_NC_2_3 0_X_2019_1000 m3_ST_1_2_NC_2_3 902.5569703036
0 X 2019 1000 m3 ST_1_2_NC_4 0_X_2019_1000 m3_ST_1_2_NC_4 43.3567015818
0 X 2019 1000 m3 ST_1_2_NC_5 0_X_2019_1000 m3_ST_1_2_NC_5 114.5156057762
0 X 2019 1000 m3 ST_5_C 0_X_2019_1000 m3_ST_5_C 31.7808196057
0 X 2019 1000 m3 ST_5_C_1 0_X_2019_1000 m3_ST_5_C_1 73.3814190143
0 X 2019 1000 m3 ST_5_C_2 0_X_2019_1000 m3_ST_5_C_2 0.1447175857
0 X 2019 1000 m3 ST_5_NC 0_X_2019_1000 m3_ST_5_NC 0.0271118643
0 X 2019 1000 m3 ST_5_NC_1 0_X_2019_1000 m3_ST_5_NC_1 4.5856775314
0 X 2019 1000 m3 ST_5_NC_2 0_X_2019_1000 m3_ST_5_NC_2 0.1552028571
0 X 2019 1000 m3 ST_5_NC_3 0_X_2019_1000 m3_ST_5_NC_3 0.1926589214
0 X 2019 1000 m3 ST_5_NC_4 0_X_2019_1000 m3_ST_5_NC_4 0
0 X 2019 1000 m3 ST_5_NC_5 0_X_2019_1000 m3_ST_5_NC_5 0
0 X 2019 1000 m3 ST_5_NC_6 0_X_2019_1000 m3_ST_5_NC_6 3
0 X 2019 1000 m3 ST_5_NC_7 0_X_2019_1000 m3_ST_5_NC_7 0
0 X 2019 1000 NAC ST_1_2_C 0_X_2019_1000 NAC_ST_1_2_C 81418.0345073
0 X 2019 1000 NAC ST_1_2_C_1 0_X_2019_1000 NAC_ST_1_2_C_1 72040.5302072
0 X 2019 1000 NAC ST_1_2_C_1_1 0_X_2019_1000 NAC_ST_1_2_C_1_1 52662.071414
0 X 2019 1000 NAC ST_1_2_C_2_1 0_X_2019_1000 NAC_ST_1_2_C_2_1 19378.4587932
0 X 2019 1000 NAC ST_1_2_C_2 0_X_2019_1000 NAC_ST_1_2_C_2 1224.7428178
0 X 2019 1000 NAC ST_1_2_C_1_2 0_X_2019_1000 NAC_ST_1_2_C_1_2 358.5073094
0 X 2019 1000 NAC ST_1_2_C_2_2 0_X_2019_1000 NAC_ST_1_2_C_2_2 866.2355084
0 X 2019 1000 NAC ST_1_2_C_3 0_X_2019_1000 NAC_ST_1_2_C_3 0
0 X 2019 1000 NAC ST_1_2_C_1_3 0_X_2019_1000 NAC_ST_1_2_C_1_3 0
0 X 2019 1000 NAC ST_1_2_C_2_3 0_X_2019_1000 NAC_ST_1_2_C_2_3 0
0 X 2019 1000 NAC ST_1_2_NC 0_X_2019_1000 NAC_ST_1_2_NC 54318.7829692
0 X 2019 1000 NAC ST_1_2_NC_1 0_X_2019_1000 NAC_ST_1_2_NC_1 15996.0769215
0 X 2019 1000 NAC ST_1_2_NC_1_1 0_X_2019_1000 NAC_ST_1_2_NC_1_1 23737.7105727
0 X 2019 1000 NAC ST_1_2_NC_2_1 0_X_2019_1000 NAC_ST_1_2_NC_2_1 0.92636
0 X 2019 1000 NAC ST_1_2_NC_2 0_X_2019_1000 NAC_ST_1_2_NC_2 0.92636
0 X 2019 1000 NAC ST_1_2_NC_1_2 0_X_2019_1000 NAC_ST_1_2_NC_1_2 0
0 X 2019 1000 NAC ST_1_2_NC_2_2 0_X_2019_1000 NAC_ST_1_2_NC_2_2 59.584012
0 X 2019 1000 NAC ST_1_2_NC_3 0_X_2019_1000 NAC_ST_1_2_NC_3 0
0 X 2019 1000 NAC ST_1_2_NC_1_3 0_X_2019_1000 NAC_ST_1_2_NC_1_3 158039.3075876
0 X 2019 1000 NAC ST_1_2_NC_2_3 0_X_2019_1000 NAC_ST_1_2_NC_2_3 147281.6445235
0 X 2019 1000 NAC ST_1_2_NC_4 0_X_2019_1000 NAC_ST_1_2_NC_4 7395.3647795
0 X 2019 1000 NAC ST_1_2_NC_5 0_X_2019_1000 NAC_ST_1_2_NC_5 47251.6889693
0 X 2019 1000 NAC ST_5_C 0_X_2019_1000 NAC_ST_5_C 20134.2271203
0 X 2019 1000 NAC ST_5_C_1 0_X_2019_1000 NAC_ST_5_C_1 20549.9485419
0 X 2019 1000 NAC ST_5_C_2 0_X_2019_1000 NAC_ST_5_C_2 65.6558976
0 X 2019 1000 NAC ST_5_NC 0_X_2019_1000 NAC_ST_5_NC 12.9229329
0 X 2019 1000 NAC ST_5_NC_1 0_X_2019_1000 NAC_ST_5_NC_1 2020.0845296
0 X 2019 1000 NAC ST_5_NC_2 0_X_2019_1000 NAC_ST_5_NC_2 70.2757483
0 X 2019 1000 NAC ST_5_NC_3 0_X_2019_1000 NAC_ST_5_NC_3 107.1374326
0 X 2019 1000 NAC ST_5_NC_4 0_X_2019_1000 NAC_ST_5_NC_4 0
0 X 2019 1000 NAC ST_5_NC_5 0_X_2019_1000 NAC_ST_5_NC_5 0
0 X 2019 1000 NAC ST_5_NC_6 0_X_2019_1000 NAC_ST_5_NC_6 3
0 X 2019 1000 NAC ST_5_NC_7 0_X_2019_1000 NAC_ST_5_NC_7 0
0 X 2020 1000 m3 ST_1_2_C 0_X_2020_1000 m3_ST_1_2_C 831.7607144957
0 X 2020 1000 m3 ST_1_2_C_1 0_X_2020_1000 m3_ST_1_2_C_1 741.8885326104
0 X 2020 1000 m3 ST_1_2_C_1_1 0_X_2020_1000 m3_ST_1_2_C_1_1 497.9400918831
0 X 2020 1000 m3 ST_1_2_C_2_1 0_X_2020_1000 m3_ST_1_2_C_2_1 243.9484407273
0 X 2020 1000 m3 ST_1_2_C_2 0_X_2020_1000 m3_ST_1_2_C_2 15.1344540233
0 X 2020 1000 m3 ST_1_2_C_1_2 0_X_2020_1000 m3_ST_1_2_C_1_2 9.1251086744
0 X 2020 1000 m3 ST_1_2_C_2_2 0_X_2020_1000 m3_ST_1_2_C_2_2 6.0093453488
0 X 2020 1000 m3 ST_1_2_C_3 0_X_2020_1000 m3_ST_1_2_C_3 0
0 X 2020 1000 m3 ST_1_2_C_1_3 0_X_2020_1000 m3_ST_1_2_C_1_3 0
0 X 2020 1000 m3 ST_1_2_C_2_3 0_X_2020_1000 m3_ST_1_2_C_2_3 0
0 X 2020 1000 m3 ST_1_2_NC 0_X_2020_1000 m3_ST_1_2_NC 537.7698420305
0 X 2020 1000 m3 ST_1_2_NC_1 0_X_2020_1000 m3_ST_1_2_NC_1 84.5908025714
0 X 2020 1000 m3 ST_1_2_NC_1_1 0_X_2020_1000 m3_ST_1_2_NC_1_1 364.2580247653
0 X 2020 1000 m3 ST_1_2_NC_2_1 0_X_2020_1000 m3_ST_1_2_NC_2_1 0.0737373737
0 X 2020 1000 m3 ST_1_2_NC_2 0_X_2020_1000 m3_ST_1_2_NC_2 0.0737373737
0 X 2020 1000 m3 ST_1_2_NC_1_2 0_X_2020_1000 m3_ST_1_2_NC_1_2 0
0 X 2020 1000 m3 ST_1_2_NC_2_2 0_X_2020_1000 m3_ST_1_2_NC_2_2 0.0818235119
0 X 2020 1000 m3 ST_1_2_NC_3 0_X_2020_1000 m3_ST_1_2_NC_3 0
0 X 2020 1000 m3 ST_1_2_NC_1_3 0_X_2020_1000 m3_ST_1_2_NC_1_3 829.7594383273
0 X 2020 1000 m3 ST_1_2_NC_2_3 0_X_2020_1000 m3_ST_1_2_NC_2_3 799.0392516364
0 X 2020 1000 m3 ST_1_2_NC_4 0_X_2020_1000 m3_ST_1_2_NC_4 19.7866184364
0 X 2020 1000 m3 ST_1_2_NC_5 0_X_2020_1000 m3_ST_1_2_NC_5 101.1945619666
0 X 2020 1000 m3 ST_5_C 0_X_2020_1000 m3_ST_5_C 25.825683
0 X 2020 1000 m3 ST_5_C_1 0_X_2020_1000 m3_ST_5_C_1 65.4306719
0 X 2020 1000 m3 ST_5_C_2 0_X_2020_1000 m3_ST_5_C_2 0.127112
0 X 2020 1000 m3 ST_5_NC 0_X_2020_1000 m3_ST_5_NC 0.0048494286
0 X 2020 1000 m3 ST_5_NC_1 0_X_2020_1000 m3_ST_5_NC_1 4.2851327429
0 X 2020 1000 m3 ST_5_NC_2 0_X_2020_1000 m3_ST_5_NC_2 0.1358444571
0 X 2020 1000 m3 ST_5_NC_3 0_X_2020_1000 m3_ST_5_NC_3 0.561692
0 X 2020 1000 m3 ST_5_NC_4 0_X_2020_1000 m3_ST_5_NC_4 0
0 X 2020 1000 m3 ST_5_NC_5 0_X_2020_1000 m3_ST_5_NC_5 0
0 X 2020 1000 m3 ST_5_NC_6 0_X_2020_1000 m3_ST_5_NC_6 3
0 X 2020 1000 m3 ST_5_NC_7 0_X_2020_1000 m3_ST_5_NC_7 0
0 X 2020 1000 NAC ST_1_2_C 0_X_2020_1000 NAC_ST_1_2_C 57568.43439
0 X 2020 1000 NAC ST_1_2_C_1 0_X_2020_1000 NAC_ST_1_2_C_1 50330.45059
0 X 2020 1000 NAC ST_1_2_C_1_1 0_X_2020_1000 NAC_ST_1_2_C_1_1 37663.38577
0 X 2020 1000 NAC ST_1_2_C_2_1 0_X_2020_1000 NAC_ST_1_2_C_2_1 12667.06482
0 X 2020 1000 NAC ST_1_2_C_2 0_X_2020_1000 NAC_ST_1_2_C_2 753.06285
0 X 2020 1000 NAC ST_1_2_C_1_2 0_X_2020_1000 NAC_ST_1_2_C_1_2 512.10321
0 X 2020 1000 NAC ST_1_2_C_2_2 0_X_2020_1000 NAC_ST_1_2_C_2_2 240.95964
0 X 2020 1000 NAC ST_1_2_C_3 0_X_2020_1000 NAC_ST_1_2_C_3 0
0 X 2020 1000 NAC ST_1_2_C_1_3 0_X_2020_1000 NAC_ST_1_2_C_1_3 0
0 X 2020 1000 NAC ST_1_2_C_2_3 0_X_2020_1000 NAC_ST_1_2_C_2_3 0
0 X 2020 1000 NAC ST_1_2_NC 0_X_2020_1000 NAC_ST_1_2_NC 51721.74839
0 X 2020 1000 NAC ST_1_2_NC_1 0_X_2020_1000 NAC_ST_1_2_NC_1 19288.47815
0 X 2020 1000 NAC ST_1_2_NC_1_1 0_X_2020_1000 NAC_ST_1_2_NC_1_1 22852.06936
0 X 2020 1000 NAC ST_1_2_NC_2_1 0_X_2020_1000 NAC_ST_1_2_NC_2_1 7.78575
0 X 2020 1000 NAC ST_1_2_NC_2 0_X_2020_1000 NAC_ST_1_2_NC_2 7.78575
0 X 2020 1000 NAC ST_1_2_NC_1_2 0_X_2020_1000 NAC_ST_1_2_NC_1_2 0
0 X 2020 1000 NAC ST_1_2_NC_2_2 0_X_2020_1000 NAC_ST_1_2_NC_2_2 38.46341
0 X 2020 1000 NAC ST_1_2_NC_3 0_X_2020_1000 NAC_ST_1_2_NC_3 0
0 X 2020 1000 NAC ST_1_2_NC_1_3 0_X_2020_1000 NAC_ST_1_2_NC_1_3 136299.31397
0 X 2020 1000 NAC ST_1_2_NC_2_3 0_X_2020_1000 NAC_ST_1_2_NC_2_3 130545.11951
0 X 2020 1000 NAC ST_1_2_NC_4 0_X_2020_1000 NAC_ST_1_2_NC_4 3349.57599
0 X 2020 1000 NAC ST_1_2_NC_5 0_X_2020_1000 NAC_ST_1_2_NC_5 42334.44064
0 X 2020 1000 NAC ST_5_C 0_X_2020_1000 NAC_ST_5_C 16675.66754
0 X 2020 1000 NAC ST_5_C_1 0_X_2020_1000 NAC_ST_5_C_1 19173.25182
0 X 2020 1000 NAC ST_5_C_2 0_X_2020_1000 NAC_ST_5_C_2 62.70118
0 X 2020 1000 NAC ST_5_NC 0_X_2020_1000 NAC_ST_5_NC 6.91878
0 X 2020 1000 NAC ST_5_NC_1 0_X_2020_1000 NAC_ST_5_NC_1 2070.04916
0 X 2020 1000 NAC ST_5_NC_2 0_X_2020_1000 NAC_ST_5_NC_2 85.74736
0 X 2020 1000 NAC ST_5_NC_3 0_X_2020_1000 NAC_ST_5_NC_3 306.54944
0 X 2020 1000 NAC ST_5_NC_4 0_X_2020_1000 NAC_ST_5_NC_4 0
0 X 2020 1000 NAC ST_5_NC_5 0_X_2020_1000 NAC_ST_5_NC_5 0
0 X 2020 1000 NAC ST_5_NC_6 0_X_2020_1000 NAC_ST_5_NC_6 3
0 X 2020 1000 NAC ST_5_NC_7 0_X_2020_1000 NAC_ST_5_NC_7 0
0 EX_M 2019 1000 m3 1 0_EX_M_2019_1000 m3_1 109.5553631704 EU1
0 EX_M 2019 1000 m3 1_1 0_EX_M_2019_1000 m3_1_1 97.9224646507
0 EX_M 2019 1000 m3 1_2 0_EX_M_2019_1000 m3_1_2 0.5065403077
0 EX_M 2019 1000 m3 1_2_C 0_EX_M_2019_1000 m3_1_2_C 97.415924343
0 EX_M 2019 1000 m3 1_2_NC 0_EX_M_2019_1000 m3_1_2_NC 11.6328985197
0 EX_M 2019 1000 m3 1_2_NC_T 0_EX_M_2019_1000 m3_1_2_NC_T 9.2300303132
0 EX_M 2019 1000 mt 2 0_EX_M_2019_1000 mt_2 2.4028682066
0 EX_M 2019 1000 m3 3 0_EX_M_2019_1000 m3_3 0.2605333333
0 EX_M 2019 1000 m3 3_1 0_EX_M_2019_1000 m3_3_1 2.8790218
0 EX_M 2019 1000 m3 3_2 0_EX_M_2019_1000 m3_3_2 5.0699667925
0 EX_M 2019 1000 mt 4 0_EX_M_2019_1000 mt_4 2.2273326096
0 EX_M 2019 1000 mt 4_1 0_EX_M_2019_1000 mt_4_1 2.8426341829
0 EX_M 2019 1000 mt 4_2 0_EX_M_2019_1000 mt_4_2 0
0 EX_M 2019 1000 m3 5 0_EX_M_2019_1000 m3_5 106.67777862
0 EX_M 2019 1000 m3 5_C 0_EX_M_2019_1000 m3_5_C 95.70123623
0 EX_M 2019 1000 m3 5_NC 0_EX_M_2019_1000 m3_5_NC 10.97654239
0 EX_M 2019 1000 m3 5_NC_T 0_EX_M_2019_1000 m3_5_NC_T 57.8247624597
0 EX_M 2019 1000 m3 6 0_EX_M_2019_1000 m3_6 18.5972591655
0 EX_M 2019 1000 m3 6_1 0_EX_M_2019_1000 m3_6_1 39.2275032943
0 EX_M 2019 1000 m3 6_1_C 0_EX_M_2019_1000 m3_6_1_C 1.500811
0 EX_M 2019 1000 m3 6_1_NC 0_EX_M_2019_1000 m3_6_1_NC 7.6219556252
0 EX_M 2019 1000 m3 6_1_NC_T 0_EX_M_2019_1000 m3_6_1_NC_T 0.0194187975
0 EX_M 2019 1000 m3 6_2 0_EX_M_2019_1000 m3_6_2 7.6025368277
0 EX_M 2019 1000 m3 6_2_C 0_EX_M_2019_1000 m3_6_2_C 0.0424172154
0 EX_M 2019 1000 m3 6_2_NC 0_EX_M_2019_1000 m3_6_2_NC 14.4655238873
0 EX_M 2019 1000 m3 6_2_NC_T 0_EX_M_2019_1000 m3_6_2_NC_T 8.2479829464
0 EX_M 2019 1000 m3 6_3 0_EX_M_2019_1000 m3_6_3 1.0887876723
0 EX_M 2019 1000 m3 6_3_1 0_EX_M_2019_1000 m3_6_3_1 7.1591952741
0 EX_M 2019 1000 m3 6_4 0_EX_M_2019_1000 m3_6_4 0.0280920696
0 EX_M 2019 1000 m3 6_4_1 0_EX_M_2019_1000 m3_6_4_1 5.4990364602
0 EX_M 2019 1000 m3 6_4_2 0_EX_M_2019_1000 m3_6_4_2 0.0955641335
0 EX_M 2019 1000 m3 6_4_3 0_EX_M_2019_1000 m3_6_4_3 0.7185044807
0 EX_M 2019 1000 mt 7 0_EX_M_2019_1000 mt_7 0.1996393079
0 EX_M 2019 1000 mt 7_1 0_EX_M_2019_1000 mt_7_1 0.3944796802
0 EX_M 2019 1000 mt 7_2 0_EX_M_2019_1000 mt_7_2 0.1243854926
0 EX_M 2019 1000 mt 7_3 0_EX_M_2019_1000 mt_7_3 70.11370708
0 EX_M 2019 1000 mt 7_3_1 0_EX_M_2019_1000 mt_7_3_1 0.626502
0 EX_M 2019 1000 mt 7_3_2 0_EX_M_2019_1000 mt_7_3_2 69.48720508
0 EX_M 2019 1000 mt 7_3_3 0_EX_M_2019_1000 mt_7_3_3 69.48720508
0 EX_M 2019 1000 mt 7_3_4 0_EX_M_2019_1000 mt_7_3_4 68.57256608
0 EX_M 2019 1000 mt 7_4 0_EX_M_2019_1000 mt_7_4 0
0 EX_M 2019 1000 mt 8 0_EX_M_2019_1000 mt_8 0
0 EX_M 2019 1000 mt 8_1 0_EX_M_2019_1000 mt_8_1 0.026716
0 EX_M 2019 1000 mt 8_2 0_EX_M_2019_1000 mt_8_2 0.0266
0 EX_M 2019 1000 mt 9 0_EX_M_2019_1000 mt_9 0.000116
0 EX_M 2019 1000 mt 10 0_EX_M_2019_1000 mt_10 28.31031913
0 EX_M 2019 1000 mt 10_1 0_EX_M_2019_1000 mt_10_1 22.26722158
0 EX_M 2019 1000 mt 10_1_1 0_EX_M_2019_1000 mt_10_1_1 9.26931539
0 EX_M 2019 1000 mt 10_1_2 0_EX_M_2019_1000 mt_10_1_2 0.006921
0 EX_M 2019 1000 mt 10_1_3 0_EX_M_2019_1000 mt_10_1_3 0.0000093
0 EX_M 2019 1000 mt 10_1_4 0_EX_M_2019_1000 mt_10_1_4 6.44036395
0 EX_M 2019 1000 mt 10_2 0_EX_M_2019_1000 mt_10_2 2.82202114
0 EX_M 2019 1000 mt 10_3 0_EX_M_2019_1000 mt_10_3 0.20637874
0 EX_M 2019 1000 mt 10_3_1 0_EX_M_2019_1000 mt_10_3_1 12.7705828
0 EX_M 2019 1000 mt 10_3_2 0_EX_M_2019_1000 mt_10_3_2 1.6339501
0 EX_M 2019 1000 mt 10_3_3 0_EX_M_2019_1000 mt_10_3_3 8.75522874
0 EX_M 2019 1000 mt 10_3_4 0_EX_M_2019_1000 mt_10_3_4 2.36848768
0 EX_M 2019 1000 mt 10_4 0_EX_M_2019_1000 mt_10_4 0.01291628
0 EX_M 2019 1000 NAC 1 0_EX_M_2019_1000 NAC_1 12004.18488
0 EX_M 2019 1000 NAC 1_1 0_EX_M_2019_1000 NAC_1_1 9380.99601
0 EX_M 2019 1000 NAC 1_2 0_EX_M_2019_1000 NAC_1_2 60.63336
0 EX_M 2019 1000 NAC 1_2_C 0_EX_M_2019_1000 NAC_1_2_C 9320.36265
0 EX_M 2019 1000 NAC 1_2_NC 0_EX_M_2019_1000 NAC_1_2_NC 2623.18887
0 EX_M 2019 1000 NAC 1_2_NC_T 0_EX_M_2019_1000 NAC_1_2_NC_T 1195.68357
0 EX_M 2019 1000 NAC 2 0_EX_M_2019_1000 NAC_2 1427.5053
0 EX_M 2019 1000 NAC 3 0_EX_M_2019_1000 NAC_3 287.31717
0 EX_M 2019 1000 NAC 3_1 0_EX_M_2019_1000 NAC_3_1 1385.7425
0 EX_M 2019 1000 NAC 3_2 0_EX_M_2019_1000 NAC_3_2 255.19046
0 EX_M 2019 1000 NAC 4 0_EX_M_2019_1000 NAC_4 200.04329
0 EX_M 2019 1000 NAC 4_1 0_EX_M_2019_1000 NAC_4_1 55.14717
0 EX_M 2019 1000 NAC 4_2 0_EX_M_2019_1000 NAC_4_2 0
0 EX_M 2019 1000 NAC 5 0_EX_M_2019_1000 NAC_5 18525.58344
0 EX_M 2019 1000 NAC 5_C 0_EX_M_2019_1000 NAC_5_C 16915.76457
0 EX_M 2019 1000 NAC 5_NC 0_EX_M_2019_1000 NAC_5_NC 1609.81887
0 EX_M 2019 1000 NAC 5_NC_T 0_EX_M_2019_1000 NAC_5_NC_T 19434.11271
0 EX_M 2019 1000 NAC 6 0_EX_M_2019_1000 NAC_6 3640.61963
0 EX_M 2019 1000 NAC 6_1 0_EX_M_2019_1000 NAC_6_1 15793.49308
0 EX_M 2019 1000 NAC 6_1_C 0_EX_M_2019_1000 NAC_6_1_C 1340.98985
0 EX_M 2019 1000 NAC 6_1_NC 0_EX_M_2019_1000 NAC_6_1_NC 4292.21661
0 EX_M 2019 1000 NAC 6_1_NC_T 0_EX_M_2019_1000 NAC_6_1_NC_T 29.10941
0 EX_M 2019 1000 NAC 6_2 0_EX_M_2019_1000 NAC_6_2 4263.1072
0 EX_M 2019 1000 NAC 6_2_C 0_EX_M_2019_1000 NAC_6_2_C 248.05201
0 EX_M 2019 1000 NAC 6_2_NC 0_EX_M_2019_1000 NAC_6_2_NC 6622.14194
0 EX_M 2019 1000 NAC 6_2_NC_T 0_EX_M_2019_1000 NAC_6_2_NC_T 5088.12879
0 EX_M 2019 1000 NAC 6_3 0_EX_M_2019_1000 NAC_6_3 593.88078
0 EX_M 2019 1000 NAC 6_3_1 0_EX_M_2019_1000 NAC_6_3_1 4494.24801
0 EX_M 2019 1000 NAC 6_4 0_EX_M_2019_1000 NAC_6_4 9.69793
0 EX_M 2019 1000 NAC 6_4_1 0_EX_M_2019_1000 NAC_6_4_1 1091.6412
0 EX_M 2019 1000 NAC 6_4_2 0_EX_M_2019_1000 NAC_6_4_2 20.48487
0 EX_M 2019 1000 NAC 6_4_3 0_EX_M_2019_1000 NAC_6_4_3 442.37195
0 EX_M 2019 1000 NAC 7 0_EX_M_2019_1000 NAC_7 63.8716
0 EX_M 2019 1000 NAC 7_1 0_EX_M_2019_1000 NAC_7_1 270.72424
0 EX_M 2019 1000 NAC 7_2 0_EX_M_2019_1000 NAC_7_2 107.77611
0 EX_M 2019 1000 NAC 7_3 0_EX_M_2019_1000 NAC_7_3 39384.0917
0 EX_M 2019 1000 NAC 7_3_1 0_EX_M_2019_1000 NAC_7_3_1 286.30013
0 EX_M 2019 1000 NAC 7_3_2 0_EX_M_2019_1000 NAC_7_3_2 39097.79157
0 EX_M 2019 1000 NAC 7_3_3 0_EX_M_2019_1000 NAC_7_3_3 39097.79157
0 EX_M 2019 1000 NAC 7_3_4 0_EX_M_2019_1000 NAC_7_3_4 38400.28592
0 EX_M 2019 1000 NAC 7_4 0_EX_M_2019_1000 NAC_7_4 0
0 EX_M 2019 1000 NAC 8 0_EX_M_2019_1000 NAC_8 0
0 EX_M 2019 1000 NAC 8_1 0_EX_M_2019_1000 NAC_8_1 49.52909
0 EX_M 2019 1000 NAC 8_2 0_EX_M_2019_1000 NAC_8_2 49.26845
0 EX_M 2019 1000 NAC 9 0_EX_M_2019_1000 NAC_9 0.26064
0 EX_M 2019 1000 NAC 10 0_EX_M_2019_1000 NAC_10 5072.35883
0 EX_M 2019 1000 NAC 10_1 0_EX_M_2019_1000 NAC_10_1 18192.55239
0 EX_M 2019 1000 NAC 10_1_1 0_EX_M_2019_1000 NAC_10_1_1 8591.77549
0 EX_M 2019 1000 NAC 10_1_2 0_EX_M_2019_1000 NAC_10_1_2 3.83871
0 EX_M 2019 1000 NAC 10_1_3 0_EX_M_2019_1000 NAC_10_1_3 0.35754
0 EX_M 2019 1000 NAC 10_1_4 0_EX_M_2019_1000 NAC_10_1_4 5184.83457
0 EX_M 2019 1000 NAC 10_2 0_EX_M_2019_1000 NAC_10_2 3402.74467
0 EX_M 2019 1000 NAC 10_3 0_EX_M_2019_1000 NAC_10_3 213.71439
0 EX_M 2019 1000 NAC 10_3_1 0_EX_M_2019_1000 NAC_10_3_1 9089.21924
0 EX_M 2019 1000 NAC 10_3_2 0_EX_M_2019_1000 NAC_10_3_2 1310.76463
0 EX_M 2019 1000 NAC 10_3_3 0_EX_M_2019_1000 NAC_10_3_3 6088.08076
0 EX_M 2019 1000 NAC 10_3_4 0_EX_M_2019_1000 NAC_10_3_4 1671.14012
0 EX_M 2019 1000 NAC 10_4 0_EX_M_2019_1000 NAC_10_4 19.23373
0 EX_M 2020 1000 m3 1 0_EX_M_2020_1000 m3_1 90.3362517645
0 EX_M 2020 1000 m3 1_1 0_EX_M_2020_1000 m3_1_1 80.7274757701
0 EX_M 2020 1000 m3 1_2 0_EX_M_2020_1000 m3_1_2 1.0739813077
0 EX_M 2020 1000 m3 1_2_C 0_EX_M_2020_1000 m3_1_2_C 79.6534944624
0 EX_M 2020 1000 m3 1_2_NC 0_EX_M_2020_1000 m3_1_2_NC 9.6087759944
0 EX_M 2020 1000 m3 1_2_NC_T 0_EX_M_2020_1000 m3_1_2_NC_T 8.3845158646
0 EX_M 2020 1000 mt 2 0_EX_M_2020_1000 mt_2 1.2242601299
0 EX_M 2020 1000 m3 3 0_EX_M_2020_1000 m3_3 0.2719444444
0 EX_M 2020 1000 m3 3_1 0_EX_M_2020_1000 m3_3_1 1.98551692
0 EX_M 2020 1000 m3 3_2 0_EX_M_2020_1000 m3_3_2 3.8652288689
0 EX_M 2020 1000 mt 4 0_EX_M_2020_1000 mt_4 1.267462752
0 EX_M 2020 1000 mt 4_1 0_EX_M_2020_1000 mt_4_1 2.5977661169
0 EX_M 2020 1000 mt 4_2 0_EX_M_2020_1000 mt_4_2 0
0 EX_M 2020 1000 m3 5 0_EX_M_2020_1000 m3_5 97.45627645
0 EX_M 2020 1000 m3 5_C 0_EX_M_2020_1000 m3_5_C 90.8016144
0 EX_M 2020 1000 m3 5_NC 0_EX_M_2020_1000 m3_5_NC 6.65466205
0 EX_M 2020 1000 m3 5_NC_T 0_EX_M_2020_1000 m3_5_NC_T 52.7602905117
0 EX_M 2020 1000 m3 6 0_EX_M_2020_1000 m3_6 17.1891234545
0 EX_M 2020 1000 m3 6_1 0_EX_M_2020_1000 m3_6_1 35.5711670571
0 EX_M 2020 1000 m3 6_1_C 0_EX_M_2020_1000 m3_6_1_C 1.7647242857
0 EX_M 2020 1000 m3 6_1_NC 0_EX_M_2020_1000 m3_6_1_NC 6.9383089061
0 EX_M 2020 1000 m3 6_1_NC_T 0_EX_M_2020_1000 m3_6_1_NC_T 0.0394484599
0 EX_M 2020 1000 m3 6_2 0_EX_M_2020_1000 m3_6_2 6.8988604462
0 EX_M 2020 1000 m3 6_2_C 0_EX_M_2020_1000 m3_6_2_C 0.1840442462
0 EX_M 2020 1000 m3 6_2_NC 0_EX_M_2020_1000 m3_6_2_NC 7.9696743321
0 EX_M 2020 1000 m3 6_2_NC_T 0_EX_M_2020_1000 m3_6_2_NC_T 6.0697436072
0 EX_M 2020 1000 m3 6_3 0_EX_M_2020_1000 m3_6_3 0.4874952703
0 EX_M 2020 1000 m3 6_3_1 0_EX_M_2020_1000 m3_6_3_1 5.5822483369
0 EX_M 2020 1000 m3 6_4 0_EX_M_2020_1000 m3_6_4 0.038250154
0 EX_M 2020 1000 m3 6_4_1 0_EX_M_2020_1000 m3_6_4_1 1.2324038245
0 EX_M 2020 1000 m3 6_4_2 0_EX_M_2020_1000 m3_6_4_2 0.0003361049
0 EX_M 2020 1000 m3 6_4_3 0_EX_M_2020_1000 m3_6_4_3 0.6675269004
0 EX_M 2020 1000 mt 7 0_EX_M_2020_1000 mt_7 0.197923198
0 EX_M 2020 1000 mt 7_1 0_EX_M_2020_1000 mt_7_1 0.4007664699
0 EX_M 2020 1000 mt 7_2 0_EX_M_2020_1000 mt_7_2 0.0688372325
0 EX_M 2020 1000 mt 7_3 0_EX_M_2020_1000 mt_7_3 75.63480439
0 EX_M 2020 1000 mt 7_3_1 0_EX_M_2020_1000 mt_7_3_1 1.818388
0 EX_M 2020 1000 mt 7_3_2 0_EX_M_2020_1000 mt_7_3_2 73.80556639
0 EX_M 2020 1000 mt 7_3_3 0_EX_M_2020_1000 mt_7_3_3 73.79845189
0 EX_M 2020 1000 mt 7_3_4 0_EX_M_2020_1000 mt_7_3_4 73.27294089
0 EX_M 2020 1000 mt 7_4 0_EX_M_2020_1000 mt_7_4 0.0071145
0 EX_M 2020 1000 mt 8 0_EX_M_2020_1000 mt_8 0.01085
0 EX_M 2020 1000 mt 8_1 0_EX_M_2020_1000 mt_8_1 0
0 EX_M 2020 1000 mt 8_2 0_EX_M_2020_1000 mt_8_2 0
0 EX_M 2020 1000 mt 9 0_EX_M_2020_1000 mt_9 0
0 EX_M 2020 1000 mt 10 0_EX_M_2020_1000 mt_10 24.21280111
0 EX_M 2020 1000 mt 10_1 0_EX_M_2020_1000 mt_10_1 27.72602553
0 EX_M 2020 1000 mt 10_1_1 0_EX_M_2020_1000 mt_10_1_1 13.92564645
0 EX_M 2020 1000 mt 10_1_2 0_EX_M_2020_1000 mt_10_1_2 0.603344
0 EX_M 2020 1000 mt 10_1_3 0_EX_M_2020_1000 mt_10_1_3 0.02578317
0 EX_M 2020 1000 mt 10_1_4 0_EX_M_2020_1000 mt_10_1_4 11.16916388
0 EX_M 2020 1000 mt 10_2 0_EX_M_2020_1000 mt_10_2 2.1273554
0 EX_M 2020 1000 mt 10_3 0_EX_M_2020_1000 mt_10_3 0.74409927
0 EX_M 2020 1000 mt 10_3_1 0_EX_M_2020_1000 mt_10_3_1 13.04327692
0 EX_M 2020 1000 mt 10_3_2 0_EX_M_2020_1000 mt_10_3_2 3.5271201
0 EX_M 2020 1000 mt 10_3_3 0_EX_M_2020_1000 mt_10_3_3 8.05949216
0 EX_M 2020 1000 mt 10_3_4 0_EX_M_2020_1000 mt_10_3_4 1.45432614
0 EX_M 2020 1000 mt 10_4 0_EX_M_2020_1000 mt_10_4 0.00233852
0 EX_M 2020 1000 NAC 1 0_EX_M_2020_1000 NAC_1 9295.73364
0 EX_M 2020 1000 NAC 1_1 0_EX_M_2020_1000 NAC_1_1 7292.5116
0 EX_M 2020 1000 NAC 1_2 0_EX_M_2020_1000 NAC_1_2 164.61507
0 EX_M 2020 1000 NAC 1_2_C 0_EX_M_2020_1000 NAC_1_2_C 7127.89653
0 EX_M 2020 1000 NAC 1_2_NC 0_EX_M_2020_1000 NAC_1_2_NC 2003.22204
0 EX_M 2020 1000 NAC 1_2_NC_T 0_EX_M_2020_1000 NAC_1_2_NC_T 1097.69899
0 EX_M 2020 1000 NAC 2 0_EX_M_2020_1000 NAC_2 905.52305
0 EX_M 2020 1000 NAC 3 0_EX_M_2020_1000 NAC_3 243.54373
0 EX_M 2020 1000 NAC 3_1 0_EX_M_2020_1000 NAC_3_1 974.47998
0 EX_M 2020 1000 NAC 3_2 0_EX_M_2020_1000 NAC_3_2 233.63519
0 EX_M 2020 1000 NAC 4 0_EX_M_2020_1000 NAC_4 219.90329
0 EX_M 2020 1000 NAC 4_1 0_EX_M_2020_1000 NAC_4_1 13.7319
0 EX_M 2020 1000 NAC 4_2 0_EX_M_2020_1000 NAC_4_2 0
0 EX_M 2020 1000 NAC 5 0_EX_M_2020_1000 NAC_5 16433.97031
0 EX_M 2020 1000 NAC 5_C 0_EX_M_2020_1000 NAC_5_C 15672.78232
0 EX_M 2020 1000 NAC 5_NC 0_EX_M_2020_1000 NAC_5_NC 761.18799
0 EX_M 2020 1000 NAC 5_NC_T 0_EX_M_2020_1000 NAC_5_NC_T 16935.8256
0 EX_M 2020 1000 NAC 6 0_EX_M_2020_1000 NAC_6 3207.49257
0 EX_M 2020 1000 NAC 6_1 0_EX_M_2020_1000 NAC_6_1 13728.33303
0 EX_M 2020 1000 NAC 6_1_C 0_EX_M_2020_1000 NAC_6_1_C 1231.15272
0 EX_M 2020 1000 NAC 6_1_NC 0_EX_M_2020_1000 NAC_6_1_NC 4198.16357
0 EX_M 2020 1000 NAC 6_1_NC_T 0_EX_M_2020_1000 NAC_6_1_NC_T 43.21247
0 EX_M 2020 1000 NAC 6_2 0_EX_M_2020_1000 NAC_6_2 4154.9511
0 EX_M 2020 1000 NAC 6_2_C 0_EX_M_2020_1000 NAC_6_2_C 242.55793
0 EX_M 2020 1000 NAC 6_2_NC 0_EX_M_2020_1000 NAC_6_2_NC 4491.06121
0 EX_M 2020 1000 NAC 6_2_NC_T 0_EX_M_2020_1000 NAC_6_2_NC_T 3788.44561
0 EX_M 2020 1000 NAC 6_3 0_EX_M_2020_1000 NAC_6_3 281.04268
0 EX_M 2020 1000 NAC 6_3_1 0_EX_M_2020_1000 NAC_6_3_1 3507.40293
0 EX_M 2020 1000 NAC 6_4 0_EX_M_2020_1000 NAC_6_4 31.13651
0 EX_M 2020 1000 NAC 6_4_1 0_EX_M_2020_1000 NAC_6_4_1 261.74356
0 EX_M 2020 1000 NAC 6_4_2 0_EX_M_2020_1000 NAC_6_4_2 1.07508
0 EX_M 2020 1000 NAC 6_4_3 0_EX_M_2020_1000 NAC_6_4_3 440.87204
0 EX_M 2020 1000 NAC 7 0_EX_M_2020_1000 NAC_7 72.62553
0 EX_M 2020 1000 NAC 7_1 0_EX_M_2020_1000 NAC_7_1 279.93199
0 EX_M 2020 1000 NAC 7_2 0_EX_M_2020_1000 NAC_7_2 88.31452
0 EX_M 2020 1000 NAC 7_3 0_EX_M_2020_1000 NAC_7_3 33638.0968
0 EX_M 2020 1000 NAC 7_3_1 0_EX_M_2020_1000 NAC_7_3_1 701.07784
0 EX_M 2020 1000 NAC 7_3_2 0_EX_M_2020_1000 NAC_7_3_2 32885.51096
0 EX_M 2020 1000 NAC 7_3_3 0_EX_M_2020_1000 NAC_7_3_3 32875.12812
0 EX_M 2020 1000 NAC 7_3_4 0_EX_M_2020_1000 NAC_7_3_4 32565.86608
0 EX_M 2020 1000 NAC 7_4 0_EX_M_2020_1000 NAC_7_4 10.38284
0 EX_M 2020 1000 NAC 8 0_EX_M_2020_1000 NAC_8 51.508
0 EX_M 2020 1000 NAC 8_1 0_EX_M_2020_1000 NAC_8_1 0
0 EX_M 2020 1000 NAC 8_2 0_EX_M_2020_1000 NAC_8_2 0
0 EX_M 2020 1000 NAC 9 0_EX_M_2020_1000 NAC_9 0
0 EX_M 2020 1000 NAC 10 0_EX_M_2020_1000 NAC_10 3775.67243
0 EX_M 2020 1000 NAC 10_1 0_EX_M_2020_1000 NAC_10_1 20077.77078
0 EX_M 2020 1000 NAC 10_1_1 0_EX_M_2020_1000 NAC_10_1_1 10972.44886
0 EX_M 2020 1000 NAC 10_1_2 0_EX_M_2020_1000 NAC_10_1_2 303.92827
0 EX_M 2020 1000 NAC 10_1_3 0_EX_M_2020_1000 NAC_10_1_3 42.09291
0 EX_M 2020 1000 NAC 10_1_4 0_EX_M_2020_1000 NAC_10_1_4 7982.07839
0 EX_M 2020 1000 NAC 10_2 0_EX_M_2020_1000 NAC_10_2 2644.34929
0 EX_M 2020 1000 NAC 10_3 0_EX_M_2020_1000 NAC_10_3 711.58636
0 EX_M 2020 1000 NAC 10_3_1 0_EX_M_2020_1000 NAC_10_3_1 8317.99922
0 EX_M 2020 1000 NAC 10_3_2 0_EX_M_2020_1000 NAC_10_3_2 1959.10082
0 EX_M 2020 1000 NAC 10_3_3 0_EX_M_2020_1000 NAC_10_3_3 5298.90985
0 EX_M 2020 1000 NAC 10_3_4 0_EX_M_2020_1000 NAC_10_3_4 1054.74837
0 EX_M 2020 1000 NAC 10_4 0_EX_M_2020_1000 NAC_10_4 5.24018
0 EX_X 2019 1000 m3 1 0_EX_X_2019_1000 m3_1 208.432070817
0 EX_X 2019 1000 m3 1_1 0_EX_X_2019_1000 m3_1_1 0.2466416484
0 EX_X 2019 1000 m3 1_2 0_EX_X_2019_1000 m3_1_2 0.08
0 EX_X 2019 1000 m3 1_2_C 0_EX_X_2019_1000 m3_1_2_C 0.1666416484
0 EX_X 2019 1000 m3 1_2_NC 0_EX_X_2019_1000 m3_1_2_NC 208.1854291686
0 EX_X 2019 1000 m3 1_2_NC_T 0_EX_X_2019_1000 m3_1_2_NC_T 125.2294793863
0 EX_X 2019 1000 mt 2 0_EX_X_2019_1000 mt_2 82.9559497823
0 EX_X 2019 1000 m3 3 0_EX_X_2019_1000 m3_3 0.0532722222
0 EX_X 2019 1000 m3 3_1 0_EX_X_2019_1000 m3_3_1 0.06099841
0 EX_X 2019 1000 m3 3_2 0_EX_X_2019_1000 m3_3_2 0.3861854342
0 EX_X 2019 1000 mt 4 0_EX_X_2019_1000 mt_4 0.2959305616
0 EX_X 2019 1000 mt 4_1 0_EX_X_2019_1000 mt_4_1 0.0902548726
0 EX_X 2019 1000 mt 4_2 0_EX_X_2019_1000 mt_4_2 0
0 EX_X 2019 1000 m3 5 0_EX_X_2019_1000 m3_5 0.40308
0 EX_X 2019 1000 m3 5_C 0_EX_X_2019_1000 m3_5_C 0.14112
0 EX_X 2019 1000 m3 5_NC 0_EX_X_2019_1000 m3_5_NC 0.26196
0 EX_X 2019 1000 m3 5_NC_T 0_EX_X_2019_1000 m3_5_NC_T 669.2565540354
0 EX_X 2019 1000 m3 6 0_EX_X_2019_1000 m3_6 644.6883017836
0 EX_X 2019 1000 m3 6_1 0_EX_X_2019_1000 m3_6_1 24.5682522518
0 EX_X 2019 1000 m3 6_1_C 0_EX_X_2019_1000 m3_6_1_C 0.2131017286
0 EX_X 2019 1000 m3 6_1_NC 0_EX_X_2019_1000 m3_6_1_NC 2.1416251568
0 EX_X 2019 1000 m3 6_1_NC_T 0_EX_X_2019_1000 m3_6_1_NC_T 0.1699559768
0 EX_X 2019 1000 m3 6_2 0_EX_X_2019_1000 m3_6_2 1.97166918
0 EX_X 2019 1000 m3 6_2_C 0_EX_X_2019_1000 m3_6_2_C 0.1170621323
0 EX_X 2019 1000 m3 6_2_NC 0_EX_X_2019_1000 m3_6_2_NC 54.584602702
0 EX_X 2019 1000 m3 6_2_NC_T 0_EX_X_2019_1000 m3_6_2_NC_T 22.8888390994
0 EX_X 2019 1000 m3 6_3 0_EX_X_2019_1000 m3_6_3 22.1196353159
0 EX_X 2019 1000 m3 6_3_1 0_EX_X_2019_1000 m3_6_3_1 0.7692037835
0 EX_X 2019 1000 m3 6_4 0_EX_X_2019_1000 m3_6_4 0.0377730536
0 EX_X 2019 1000 m3 6_4_1 0_EX_X_2019_1000 m3_6_4_1 1.5311710702
0 EX_X 2019 1000 m3 6_4_2 0_EX_X_2019_1000 m3_6_4_2 0.6396054769
0 EX_X 2019 1000 m3 6_4_3 0_EX_X_2019_1000 m3_6_4_3 30.1645925325
0 EX_X 2019 1000 mt 7 0_EX_X_2019_1000 mt_7 5.6921988178
0 EX_X 2019 1000 mt 7_1 0_EX_X_2019_1000 mt_7_1 23.3886578253
0 EX_X 2019 1000 mt 7_2 0_EX_X_2019_1000 mt_7_2 1.0837358893
0 EX_X 2019 1000 mt 7_3 0_EX_X_2019_1000 mt_7_3 0.0170524
0 EX_X 2019 1000 mt 7_3_1 0_EX_X_2019_1000 mt_7_3_1 0
0 EX_X 2019 1000 mt 7_3_2 0_EX_X_2019_1000 mt_7_3_2 0.016702
0 EX_X 2019 1000 mt 7_3_3 0_EX_X_2019_1000 mt_7_3_3 0.000102
0 EX_X 2019 1000 mt 7_3_4 0_EX_X_2019_1000 mt_7_3_4 0.000102
0 EX_X 2019 1000 mt 7_4 0_EX_X_2019_1000 mt_7_4 0.0166
0 EX_X 2019 1000 mt 8 0_EX_X_2019_1000 mt_8 0.0003504
0 EX_X 2019 1000 mt 8_1 0_EX_X_2019_1000 mt_8_1 0.0095254
0 EX_X 2019 1000 mt 8_2 0_EX_X_2019_1000 mt_8_2 0.00006532
0 EX_X 2019 1000 mt 9 0_EX_X_2019_1000 mt_9 0.00946008
0 EX_X 2019 1000 mt 10 0_EX_X_2019_1000 mt_10 2.382814
0 EX_X 2019 1000 mt 10_1 0_EX_X_2019_1000 mt_10_1 229.60799044
0 EX_X 2019 1000 mt 10_1_1 0_EX_X_2019_1000 mt_10_1_1 139.45087471
0 EX_X 2019 1000 mt 10_1_2 0_EX_X_2019_1000 mt_10_1_2 38.69587039
0 EX_X 2019 1000 mt 10_1_3 0_EX_X_2019_1000 mt_10_1_3 8.88275527
0 EX_X 2019 1000 mt 10_1_4 0_EX_X_2019_1000 mt_10_1_4 40.32790687
0 EX_X 2019 1000 mt 10_2 0_EX_X_2019_1000 mt_10_2 51.54434218
0 EX_X 2019 1000 mt 10_3 0_EX_X_2019_1000 mt_10_3 0.39749682
0 EX_X 2019 1000 mt 10_3_1 0_EX_X_2019_1000 mt_10_3_1 89.73318415
0 EX_X 2019 1000 mt 10_3_2 0_EX_X_2019_1000 mt_10_3_2 1.7110853
0 EX_X 2019 1000 mt 10_3_3 0_EX_X_2019_1000 mt_10_3_3 85.74668882
0 EX_X 2019 1000 mt 10_3_4 0_EX_X_2019_1000 mt_10_3_4 1.15008481
0 EX_X 2019 1000 mt 10_4 0_EX_X_2019_1000 mt_10_4 1.12532522
0 EX_X 2019 1000 NAC 1 0_EX_X_2019_1000 NAC_1 26279.42684
0 EX_X 2019 1000 NAC 1_1 0_EX_X_2019_1000 NAC_1_1 41.87796
0 EX_X 2019 1000 NAC 1_2 0_EX_X_2019_1000 NAC_1_2 3.42655
0 EX_X 2019 1000 NAC 1_2_C 0_EX_X_2019_1000 NAC_1_2_C 38.45141
0 EX_X 2019 1000 NAC 1_2_NC 0_EX_X_2019_1000 NAC_1_2_NC 26237.54888
0 EX_X 2019 1000 NAC 1_2_NC_T 0_EX_X_2019_1000 NAC_1_2_NC_T 11649.32607
0 EX_X 2019 1000 NAC 2 0_EX_X_2019_1000 NAC_2 14588.22281
0 EX_X 2019 1000 NAC 3 0_EX_X_2019_1000 NAC_3 37.16309
0 EX_X 2019 1000 NAC 3_1 0_EX_X_2019_1000 NAC_3_1 42.45486
0 EX_X 2019 1000 NAC 3_2 0_EX_X_2019_1000 NAC_3_2 17.97158
0 EX_X 2019 1000 NAC 4 0_EX_X_2019_1000 NAC_4 13.05329
0 EX_X 2019 1000 NAC 4_1 0_EX_X_2019_1000 NAC_4_1 4.91829
0 EX_X 2019 1000 NAC 4_2 0_EX_X_2019_1000 NAC_4_2 0
0 EX_X 2019 1000 NAC 5 0_EX_X_2019_1000 NAC_5 81.41588
0 EX_X 2019 1000 NAC 5_C 0_EX_X_2019_1000 NAC_5_C 30.30469
0 EX_X 2019 1000 NAC 5_NC 0_EX_X_2019_1000 NAC_5_NC 51.11119
0 EX_X 2019 1000 NAC 5_NC_T 0_EX_X_2019_1000 NAC_5_NC_T 119372.30757
0 EX_X 2019 1000 NAC 6 0_EX_X_2019_1000 NAC_6 108875.38556
0 EX_X 2019 1000 NAC 6_1 0_EX_X_2019_1000 NAC_6_1 10496.92201
0 EX_X 2019 1000 NAC 6_1_C 0_EX_X_2019_1000 NAC_6_1_C 292.03845
0 EX_X 2019 1000 NAC 6_1_NC 0_EX_X_2019_1000 NAC_6_1_NC 4898.695
0 EX_X 2019 1000 NAC 6_1_NC_T 0_EX_X_2019_1000 NAC_6_1_NC_T 181.82877
0 EX_X 2019 1000 NAC 6_2 0_EX_X_2019_1000 NAC_6_2 4716.86623
0 EX_X 2019 1000 NAC 6_2_C 0_EX_X_2019_1000 NAC_6_2_C 578.42669
0 EX_X 2019 1000 NAC 6_2_NC 0_EX_X_2019_1000 NAC_6_2_NC 26273.08677
0 EX_X 2019 1000 NAC 6_2_NC_T 0_EX_X_2019_1000 NAC_6_2_NC_T 15279.529
0 EX_X 2019 1000 NAC 6_3 0_EX_X_2019_1000 NAC_6_3 14105.58149
0 EX_X 2019 1000 NAC 6_3_1 0_EX_X_2019_1000 NAC_6_3_1 1173.94751
0 EX_X 2019 1000 NAC 6_4 0_EX_X_2019_1000 NAC_6_4 60.08541
0 EX_X 2019 1000 NAC 6_4_1 0_EX_X_2019_1000 NAC_6_4_1 469.00509
0 EX_X 2019 1000 NAC 6_4_2 0_EX_X_2019_1000 NAC_6_4_2 172.5817
0 EX_X 2019 1000 NAC 6_4_3 0_EX_X_2019_1000 NAC_6_4_3 10524.55268
0 EX_X 2019 1000 NAC 7 0_EX_X_2019_1000 NAC_7 3598.25728
0 EX_X 2019 1000 NAC 7_1 0_EX_X_2019_1000 NAC_7_1 6517.96989
0 EX_X 2019 1000 NAC 7_2 0_EX_X_2019_1000 NAC_7_2 408.32551
0 EX_X 2019 1000 NAC 7_3 0_EX_X_2019_1000 NAC_7_3 8.34994
0 EX_X 2019 1000 NAC 7_3_1 0_EX_X_2019_1000 NAC_7_3_1 0
0 EX_X 2019 1000 NAC 7_3_2 0_EX_X_2019_1000 NAC_7_3_2 4.71673
0 EX_X 2019 1000 NAC 7_3_3 0_EX_X_2019_1000 NAC_7_3_3 0.15602
0 EX_X 2019 1000 NAC 7_3_4 0_EX_X_2019_1000 NAC_7_3_4 0.15602
0 EX_X 2019 1000 NAC 7_4 0_EX_X_2019_1000 NAC_7_4 4.56071
0 EX_X 2019 1000 NAC 8 0_EX_X_2019_1000 NAC_8 3.63321
0 EX_X 2019 1000 NAC 8_1 0_EX_X_2019_1000 NAC_8_1 14.54562
0 EX_X 2019 1000 NAC 8_2 0_EX_X_2019_1000 NAC_8_2 0.50806
0 EX_X 2019 1000 NAC 9 0_EX_X_2019_1000 NAC_9 14.03756
0 EX_X 2019 1000 NAC 10 0_EX_X_2019_1000 NAC_10 299.70383
0 EX_X 2019 1000 NAC 10_1 0_EX_X_2019_1000 NAC_10_1 160403.34542
0 EX_X 2019 1000 NAC 10_1_1 0_EX_X_2019_1000 NAC_10_1_1 107822.73659
0 EX_X 2019 1000 NAC 10_1_2 0_EX_X_2019_1000 NAC_10_1_2 19886.4891
0 EX_X 2019 1000 NAC 10_1_3 0_EX_X_2019_1000 NAC_10_1_3 5896.60302
0 EX_X 2019 1000 NAC 10_1_4 0_EX_X_2019_1000 NAC_10_1_4 36491.09279
0 EX_X 2019 1000 NAC 10_2 0_EX_X_2019_1000 NAC_10_2 45548.55168
0 EX_X 2019 1000 NAC 10_3 0_EX_X_2019_1000 NAC_10_3 284.77868
0 EX_X 2019 1000 NAC 10_3_1 0_EX_X_2019_1000 NAC_10_3_1 51868.53409
0 EX_X 2019 1000 NAC 10_3_2 0_EX_X_2019_1000 NAC_10_3_2 757.52681
0 EX_X 2019 1000 NAC 10_3_3 0_EX_X_2019_1000 NAC_10_3_3 48991.90831
0 EX_X 2019 1000 NAC 10_3_4 0_EX_X_2019_1000 NAC_10_3_4 1454.72114
0 EX_X 2019 1000 NAC 10_4 0_EX_X_2019_1000 NAC_10_4 664.37783
0 EX_X 2020 1000 m3 1 0_EX_X_2020_1000 m3_1 192.3895589428
0 EX_X 2020 1000 m3 1_1 0_EX_X_2020_1000 m3_1_1 0.0537025054
0 EX_X 2020 1000 m3 1_2 0_EX_X_2020_1000 m3_1_2 0
0 EX_X 2020 1000 m3 1_2_C 0_EX_X_2020_1000 m3_1_2_C 0.0537025054
0 EX_X 2020 1000 m3 1_2_NC 0_EX_X_2020_1000 m3_1_2_NC 192.3358564375
0 EX_X 2020 1000 m3 1_2_NC_T 0_EX_X_2020_1000 m3_1_2_NC_T 92.6782020114
0 EX_X 2020 1000 mt 2 0_EX_X_2020_1000 mt_2 99.6576544261
0 EX_X 2020 1000 m3 3 0_EX_X_2020_1000 m3_3 0.000085
0 EX_X 2020 1000 m3 3_1 0_EX_X_2020_1000 m3_3_1 0.0088412
0 EX_X 2020 1000 m3 3_2 0_EX_X_2020_1000 m3_3_2 0.1575474054
0 EX_X 2020 1000 mt 4 0_EX_X_2020_1000 mt_4 0.088102128
0 EX_X 2020 1000 mt 4_1 0_EX_X_2020_1000 mt_4_1 0.0694452774
0 EX_X 2020 1000 mt 4_2 0_EX_X_2020_1000 mt_4_2 0
0 EX_X 2020 1000 m3 5 0_EX_X_2020_1000 m3_5 0.11943
0 EX_X 2020 1000 m3 5_C 0_EX_X_2020_1000 m3_5_C 0.09639
0 EX_X 2020 1000 m3 5_NC 0_EX_X_2020_1000 m3_5_NC 0.02304
0 EX_X 2020 1000 m3 5_NC_T 0_EX_X_2020_1000 m3_5_NC_T 571.6247029104
0 EX_X 2020 1000 m3 6 0_EX_X_2020_1000 m3_6 550.7366545818
0 EX_X 2020 1000 m3 6_1 0_EX_X_2020_1000 m3_6_1 20.8880483286
0 EX_X 2020 1000 m3 6_1_C 0_EX_X_2020_1000 m3_6_1_C 0.0943380429
0 EX_X 2020 1000 m3 6_1_NC 0_EX_X_2020_1000 m3_6_1_NC 2.5272285792
0 EX_X 2020 1000 m3 6_1_NC_T 0_EX_X_2020_1000 m3_6_1_NC_T 0.1231470253
0 EX_X 2020 1000 m3 6_2 0_EX_X_2020_1000 m3_6_2 2.4040815538
0 EX_X 2020 1000 m3 6_2_C 0_EX_X_2020_1000 m3_6_2_C 0.2375899692
0 EX_X 2020 1000 m3 6_2_NC 0_EX_X_2020_1000 m3_6_2_NC 55.3989116296
0 EX_X 2020 1000 m3 6_2_NC_T 0_EX_X_2020_1000 m3_6_2_NC_T 24.2478889464
0 EX_X 2020 1000 m3 6_3 0_EX_X_2020_1000 m3_6_3 23.6834662331
0 EX_X 2020 1000 m3 6_3_1 0_EX_X_2020_1000 m3_6_3_1 0.5644227133
0 EX_X 2020 1000 m3 6_4 0_EX_X_2020_1000 m3_6_4 0.0588173545
0 EX_X 2020 1000 m3 6_4_1 0_EX_X_2020_1000 m3_6_4_1 1.5068887633
0 EX_X 2020 1000 m3 6_4_2 0_EX_X_2020_1000 m3_6_4_2 0.4694823688
0 EX_X 2020 1000 m3 6_4_3 0_EX_X_2020_1000 m3_6_4_3 29.64413392
0 EX_X 2020 1000 mt 7 0_EX_X_2020_1000 mt_7 5.0442405842
0 EX_X 2020 1000 mt 7_1 0_EX_X_2020_1000 mt_7_1 23.2605225584
0 EX_X 2020 1000 mt 7_2 0_EX_X_2020_1000 mt_7_2 1.3393707774
0 EX_X 2020 1000 mt 7_3 0_EX_X_2020_1000 mt_7_3 1.26595525
0 EX_X 2020 1000 mt 7_3_1 0_EX_X_2020_1000 mt_7_3_1 0
0 EX_X 2020 1000 mt 7_3_2 0_EX_X_2020_1000 mt_7_3_2 1.26568
0 EX_X 2020 1000 mt 7_3_3 0_EX_X_2020_1000 mt_7_3_3 1.122376
0 EX_X 2020 1000 mt 7_3_4 0_EX_X_2020_1000 mt_7_3_4 1.122376
0 EX_X 2020 1000 mt 7_4 0_EX_X_2020_1000 mt_7_4 0.143304
0 EX_X 2020 1000 mt 8 0_EX_X_2020_1000 mt_8 0.00027525
0 EX_X 2020 1000 mt 8_1 0_EX_X_2020_1000 mt_8_1 0.00486029
0 EX_X 2020 1000 mt 8_2 0_EX_X_2020_1000 mt_8_2 0.0000549
0 EX_X 2020 1000 mt 9 0_EX_X_2020_1000 mt_9 0.00480539
0 EX_X 2020 1000 mt 10 0_EX_X_2020_1000 mt_10 7.10217602
0 EX_X 2020 1000 mt 10_1 0_EX_X_2020_1000 mt_10_1 235.79491897
0 EX_X 2020 1000 mt 10_1_1 0_EX_X_2020_1000 mt_10_1_1 140.52908128
0 EX_X 2020 1000 mt 10_1_2 0_EX_X_2020_1000 mt_10_1_2 34.61653497
0 EX_X 2020 1000 mt 10_1_3 0_EX_X_2020_1000 mt_10_1_3 4.4833424
0 EX_X 2020 1000 mt 10_1_4 0_EX_X_2020_1000 mt_10_1_4 44.89429459
0 EX_X 2020 1000 mt 10_2 0_EX_X_2020_1000 mt_10_2 56.53490932
0 EX_X 2020 1000 mt 10_3 0_EX_X_2020_1000 mt_10_3 0.91924592
0 EX_X 2020 1000 mt 10_3_1 0_EX_X_2020_1000 mt_10_3_1 94.31924612
0 EX_X 2020 1000 mt 10_3_2 0_EX_X_2020_1000 mt_10_3_2 0.69322095
0 EX_X 2020 1000 mt 10_3_3 0_EX_X_2020_1000 mt_10_3_3 91.6659594
0 EX_X 2020 1000 mt 10_3_4 0_EX_X_2020_1000 mt_10_3_4 1.82924817
0 EX_X 2020 1000 mt 10_4 0_EX_X_2020_1000 mt_10_4 0.1308176
0 EX_X 2020 1000 NAC 1 0_EX_X_2020_1000 NAC_1 29761.65445
0 EX_X 2020 1000 NAC 1_1 0_EX_X_2020_1000 NAC_1_1 5.34959
0 EX_X 2020 1000 NAC 1_2 0_EX_X_2020_1000 NAC_1_2 0
0 EX_X 2020 1000 NAC 1_2_C 0_EX_X_2020_1000 NAC_1_2_C 5.34959
0 EX_X 2020 1000 NAC 1_2_NC 0_EX_X_2020_1000 NAC_1_2_NC 29756.30486
0 EX_X 2020 1000 NAC 1_2_NC_T 0_EX_X_2020_1000 NAC_1_2_NC_T 10095.13818
0 EX_X 2020 1000 NAC 2 0_EX_X_2020_1000 NAC_2 19661.16668
0 EX_X 2020 1000 NAC 3 0_EX_X_2020_1000 NAC_3 0.21873
0 EX_X 2020 1000 NAC 3_1 0_EX_X_2020_1000 NAC_3_1 20.78958
0 EX_X 2020 1000 NAC 3_2 0_EX_X_2020_1000 NAC_3_2 18.32818
0 EX_X 2020 1000 NAC 4 0_EX_X_2020_1000 NAC_4 15.67793
0 EX_X 2020 1000 NAC 4_1 0_EX_X_2020_1000 NAC_4_1 2.65025
0 EX_X 2020 1000 NAC 4_2 0_EX_X_2020_1000 NAC_4_2 0
0 EX_X 2020 1000 NAC 5 0_EX_X_2020_1000 NAC_5 22.23801
0 EX_X 2020 1000 NAC 5_C 0_EX_X_2020_1000 NAC_5_C 17.33489
0 EX_X 2020 1000 NAC 5_NC 0_EX_X_2020_1000 NAC_5_NC 4.90312
0 EX_X 2020 1000 NAC 5_NC_T 0_EX_X_2020_1000 NAC_5_NC_T 101613.60313
0 EX_X 2020 1000 NAC 6 0_EX_X_2020_1000 NAC_6 92259.39104
0 EX_X 2020 1000 NAC 6_1 0_EX_X_2020_1000 NAC_6_1 9354.21209
0 EX_X 2020 1000 NAC 6_1_C 0_EX_X_2020_1000 NAC_6_1_C 188.70654
0 EX_X 2020 1000 NAC 6_1_NC 0_EX_X_2020_1000 NAC_6_1_NC 7215.66187
0 EX_X 2020 1000 NAC 6_1_NC_T 0_EX_X_2020_1000 NAC_6_1_NC_T 172.95177
0 EX_X 2020 1000 NAC 6_2 0_EX_X_2020_1000 NAC_6_2 7042.7101
0 EX_X 2020 1000 NAC 6_2_C 0_EX_X_2020_1000 NAC_6_2_C 879.96797
0 EX_X 2020 1000 NAC 6_2_NC 0_EX_X_2020_1000 NAC_6_2_NC 25653.13697
0 EX_X 2020 1000 NAC 6_2_NC_T 0_EX_X_2020_1000 NAC_6_2_NC_T 14867.11426
0 EX_X 2020 1000 NAC 6_3 0_EX_X_2020_1000 NAC_6_3 13971.16796
0 EX_X 2020 1000 NAC 6_3_1 0_EX_X_2020_1000 NAC_6_3_1 895.9463
0 EX_X 2020 1000 NAC 6_4 0_EX_X_2020_1000 NAC_6_4 29.81454
0 EX_X 2020 1000 NAC 6_4_1 0_EX_X_2020_1000 NAC_6_4_1 477.83294
0 EX_X 2020 1000 NAC 6_4_2 0_EX_X_2020_1000 NAC_6_4_2 126.34916
0 EX_X 2020 1000 NAC 6_4_3 0_EX_X_2020_1000 NAC_6_4_3 10308.18977
0 EX_X 2020 1000 NAC 7 0_EX_X_2020_1000 NAC_7 3301.85822
0 EX_X 2020 1000 NAC 7_1 0_EX_X_2020_1000 NAC_7_1 6518.88959
0 EX_X 2020 1000 NAC 7_2 0_EX_X_2020_1000 NAC_7_2 487.44196
0 EX_X 2020 1000 NAC 7_3 0_EX_X_2020_1000 NAC_7_3 559.39426
0 EX_X 2020 1000 NAC 7_3_1 0_EX_X_2020_1000 NAC_7_3_1 0
0 EX_X 2020 1000 NAC 7_3_2 0_EX_X_2020_1000 NAC_7_3_2 556.50712
0 EX_X 2020 1000 NAC 7_3_3 0_EX_X_2020_1000 NAC_7_3_3 485.93352
0 EX_X 2020 1000 NAC 7_3_4 0_EX_X_2020_1000 NAC_7_3_4 485.93352
0 EX_X 2020 1000 NAC 7_4 0_EX_X_2020_1000 NAC_7_4 70.5736
0 EX_X 2020 1000 NAC 8 0_EX_X_2020_1000 NAC_8 2.88714
0 EX_X 2020 1000 NAC 8_1 0_EX_X_2020_1000 NAC_8_1 5.90628
0 EX_X 2020 1000 NAC 8_2 0_EX_X_2020_1000 NAC_8_2 0.487
0 EX_X 2020 1000 NAC 9 0_EX_X_2020_1000 NAC_9 5.41928
0 EX_X 2020 1000 NAC 10 0_EX_X_2020_1000 NAC_10 614.86697
0 EX_X 2020 1000 NAC 10_1 0_EX_X_2020_1000 NAC_10_1 154208.73404
0 EX_X 2020 1000 NAC 10_1_1 0_EX_X_2020_1000 NAC_10_1_1 98770.08154
0 EX_X 2020 1000 NAC 10_1_2 0_EX_X_2020_1000 NAC_10_1_2 13871.63368
0 EX_X 2020 1000 NAC 10_1_3 0_EX_X_2020_1000 NAC_10_1_3 3264.74273
0 EX_X 2020 1000 NAC 10_1_4 0_EX_X_2020_1000 NAC_10_1_4 35430.56965
0 EX_X 2020 1000 NAC 10_2 0_EX_X_2020_1000 NAC_10_2 46203.13548
0 EX_X 2020 1000 NAC 10_3 0_EX_X_2020_1000 NAC_10_3 990.15445
0 EX_X 2020 1000 NAC 10_3_1 0_EX_X_2020_1000 NAC_10_3_1 53779.11932
0 EX_X 2020 1000 NAC 10_3_2 0_EX_X_2020_1000 NAC_10_3_2 303.80301
0 EX_X 2020 1000 NAC 10_3_3 0_EX_X_2020_1000 NAC_10_3_3 51378.38082
0 EX_X 2020 1000 NAC 10_3_4 0_EX_X_2020_1000 NAC_10_3_4 1997.31316
0 EX_X 2020 1000 NAC 10_4 0_EX_X_2020_1000 NAC_10_4 99.62233
0 P 2019 1000 m3 EU2_1 0_P_2019_1000 m3_EU2_1 0 EU2
0 P 2019 1000 m3 EU2_1_C 0_P_2019_1000 m3_EU2_1_C 0
0 P 2019 1000 m3 EU2_1_NC 0_P_2019_1000 m3_EU2_1_NC 0
0 P 2019 1000 m3 EU2_1_1 0_P_2019_1000 m3_EU2_1_1 0
0 P 2019 1000 m3 EU2_1_1_C 0_P_2019_1000 m3_EU2_1_1_C 0
0 P 2019 1000 m3 EU2_1_1_NC 0_P_2019_1000 m3_EU2_1_1_NC 0
0 P 2019 1000 m3 EU2_1_2 0_P_2019_1000 m3_EU2_1_2 0
0 P 2019 1000 m3 EU2_1_2_C 0_P_2019_1000 m3_EU2_1_2_C 0
0 P 2019 1000 m3 EU2_1_2_NC 0_P_2019_1000 m3_EU2_1_2_NC 0
0 P 2019 1000 m3 EU2_1_3 0_P_2019_1000 m3_EU2_1_3 0
0 P 2019 1000 m3 EU2_1_3_C 0_P_2019_1000 m3_EU2_1_3_C 0
0 P 2019 1000 m3 EU2_1_3_NC 0_P_2019_1000 m3_EU2_1_3_NC 0
0 P 2020 1000 m3 EU2_1 0_P_2020_1000 m3_EU2_1 0
0 P 2020 1000 m3 EU2_1_C 0_P_2020_1000 m3_EU2_1_C 0
0 P 2020 1000 m3 EU2_1_NC 0_P_2020_1000 m3_EU2_1_NC 0
0 P 2020 1000 m3 EU2_1_1 0_P_2020_1000 m3_EU2_1_1 0
0 P 2020 1000 m3 EU2_1_1_C 0_P_2020_1000 m3_EU2_1_1_C 0
0 P 2020 1000 m3 EU2_1_1_NC 0_P_2020_1000 m3_EU2_1_1_NC 0
0 P 2020 1000 m3 EU2_1_2 0_P_2020_1000 m3_EU2_1_2 0
0 P 2020 1000 m3 EU2_1_2_C 0_P_2020_1000 m3_EU2_1_2_C 0
0 P 2020 1000 m3 EU2_1_2_NC 0_P_2020_1000 m3_EU2_1_2_NC 0
0 P 2020 1000 m3 EU2_1_3 0_P_2020_1000 m3_EU2_1_3 0
0 P 2020 1000 m3 EU2_1_3_C 0_P_2020_1000 m3_EU2_1_3_C 0
0 P 2020 1000 m3 EU2_1_3_NC 0_P_2020_1000 m3_EU2_1_3_NC 0
0 P.OB 2019 1000 m3 1 0_P.OB_2019_1000 m3_1 0 OB
0 P.OB 2019 1000 m3 1_C 0_P.OB_2019_1000 m3_1_C 0
0 P.OB 2019 1000 m3 1_NC 0_P.OB_2019_1000 m3_1_NC 0
0 P.OB 2019 1000 m3 1_1 0_P.OB_2019_1000 m3_1_1 0
0 P.OB 2019 1000 m3 1_1_C 0_P.OB_2019_1000 m3_1_1_C 0
0 P.OB 2019 1000 m3 1_1_NC 0_P.OB_2019_1000 m3_1_1_NC 0
0 P.OB 2019 1000 m3 1_2 0_P.OB_2019_1000 m3_1_2 0
0 P.OB 2019 1000 m3 1_2_C 0_P.OB_2019_1000 m3_1_2_C 0
0 P.OB 2019 1000 m3 1_2_NC 0_P.OB_2019_1000 m3_1_2_NC 0
0 P.OB 2019 1000 m3 1_2_1 0_P.OB_2019_1000 m3_1_2_1 0
0 P.OB 2019 1000 m3 1_2_1_C 0_P.OB_2019_1000 m3_1_2_1_C 0
0 P.OB 2019 1000 m3 1_2_1_NC 0_P.OB_2019_1000 m3_1_2_1_NC 0
0 P.OB 2019 1000 m3 1_2_2 0_P.OB_2019_1000 m3_1_2_2 0
0 P.OB 2019 1000 m3 1_2_2_C 0_P.OB_2019_1000 m3_1_2_2_C 0
0 P.OB 2019 1000 m3 1_2_2_NC 0_P.OB_2019_1000 m3_1_2_2_NC 0
0 P.OB 2019 1000 m3 1_2_3 0_P.OB_2019_1000 m3_1_2_3 0
0 P.OB 2019 1000 m3 1_2_3_C 0_P.OB_2019_1000 m3_1_2_3_C 0
0 P.OB 2019 1000 m3 1_2_3_NC 0_P.OB_2019_1000 m3_1_2_3_NC ERROR:#REF!
0 P.OB 2020 1000 m3 1 0_P.OB_2020_1000 m3_1 0
0 P.OB 2020 1000 m3 1_C 0_P.OB_2020_1000 m3_1_C 0
0 P.OB 2020 1000 m3 1_NC 0_P.OB_2020_1000 m3_1_NC 0
0 P.OB 2020 1000 m3 1_1 0_P.OB_2020_1000 m3_1_1 0
0 P.OB 2020 1000 m3 1_1_C 0_P.OB_2020_1000 m3_1_1_C 0
0 P.OB 2020 1000 m3 1_1_NC 0_P.OB_2020_1000 m3_1_1_NC 0
0 P.OB 2020 1000 m3 1_2 0_P.OB_2020_1000 m3_1_2 0
0 P.OB 2020 1000 m3 1_2_C 0_P.OB_2020_1000 m3_1_2_C 0
0 P.OB 2020 1000 m3 1_2_NC 0_P.OB_2020_1000 m3_1_2_NC 0
0 P.OB 2020 1000 m3 1_2_1 0_P.OB_2020_1000 m3_1_2_1 0
0 P.OB 2020 1000 m3 1_2_1_C 0_P.OB_2020_1000 m3_1_2_1_C 0
0 P.OB 2020 1000 m3 1_2_1_NC 0_P.OB_2020_1000 m3_1_2_1_NC 0
0 P.OB 2020 1000 m3 1_2_2 0_P.OB_2020_1000 m3_1_2_2 0
0 P.OB 2020 1000 m3 1_2_2_C 0_P.OB_2020_1000 m3_1_2_2_C 0
0 P.OB 2020 1000 m3 1_2_2_NC 0_P.OB_2020_1000 m3_1_2_2_NC 0
0 P.OB 2020 1000 m3 1_2_3 0_P.OB_2020_1000 m3_1_2_3 0
0 P.OB 2020 1000 m3 1_2_3_C 0_P.OB_2020_1000 m3_1_2_3_C 0
0 P.OB 2020 1000 m3 1_2_3_NC 0_P.OB_2020_1000 m3_1_2_3_NC ERROR:#REF!

Database

Country Flow Year Unit Product conc
0 P 2015 1000 m3 1 0_P_2015_1000 m3_1
0 P 2015 1000 m3 1_C 0_P_2015_1000 m3_1_C
0 P 2015 1000 m3 1_NC 0_P_2015_1000 m3_1_NC
0 P 2015 1000 m3 1_1 0_P_2015_1000 m3_1_1
0 P 2015 1000 m3 1_1_C 0_P_2015_1000 m3_1_1_C
0 P 2015 1000 m3 1_1_NC 0_P_2015_1000 m3_1_1_NC
0 P 2015 1000 m3 1_2 0_P_2015_1000 m3_1_2
0 P 2015 1000 m3 1_2_C 0_P_2015_1000 m3_1_2_C
0 P 2015 1000 m3 1_2_NC 0_P_2015_1000 m3_1_2_NC
0 P 2015 1000 m3 1_2_1 0_P_2015_1000 m3_1_2_1
0 P 2015 1000 m3 1_2_1_C 0_P_2015_1000 m3_1_2_1_C
0 P 2015 1000 m3 1_2_1_NC 0_P_2015_1000 m3_1_2_1_NC
0 P 2015 1000 m3 1_2_2 0_P_2015_1000 m3_1_2_2
0 P 2015 1000 m3 1_2_2_C 0_P_2015_1000 m3_1_2_2_C
0 P 2015 1000 m3 1_2_2_NC 0_P_2015_1000 m3_1_2_2_NC
0 P 2015 1000 m3 1_2_3 0_P_2015_1000 m3_1_2_3
0 P 2015 1000 m3 1_2_3_C 0_P_2015_1000 m3_1_2_3_C
0 P 2015 1000 m3 1_2_3_NC 0_P_2015_1000 m3_1_2_3_NC
0 P 2015 1000 mt 2 0_P_2015_1000 mt_2
0 P 2015 1000 m3 3 0_P_2015_1000 m3_3
0 P 2015 1000 m3 3_1 0_P_2015_1000 m3_3_1
0 P 2015 1000 m3 3_2 0_P_2015_1000 m3_3_2
0 P 2015 1000 mt 4 0_P_2015_1000 mt_4
0 P 2015 1000 mt 4_1 0_P_2015_1000 mt_4_1
0 P 2015 1000 mt 4_2 0_P_2015_1000 mt_4_2
0 P 2015 1000 m3 5 0_P_2015_1000 m3_5
0 P 2015 1000 m3 5_C 0_P_2015_1000 m3_5_C
0 P 2015 1000 m3 5_NC 0_P_2015_1000 m3_5_NC
0 P 2015 1000 m3 5_NC_T 0_P_2015_1000 m3_5_NC_T
0 P 2015 1000 m3 6 0_P_2015_1000 m3_6
0 P 2015 1000 m3 6_1 0_P_2015_1000 m3_6_1
0 P 2015 1000 m3 6_1_C 0_P_2015_1000 m3_6_1_C
0 P 2015 1000 m3 6_1_NC 0_P_2015_1000 m3_6_1_NC
0 P 2015 1000 m3 6_1_NC_T 0_P_2015_1000 m3_6_1_NC_T
0 P 2015 1000 m3 6_2 0_P_2015_1000 m3_6_2
0 P 2015 1000 m3 6_2_C 0_P_2015_1000 m3_6_2_C
0 P 2015 1000 m3 6_2_NC 0_P_2015_1000 m3_6_2_NC
0 P 2015 1000 m3 6_2_NC_T 0_P_2015_1000 m3_6_2_NC_T
0 P 2015 1000 m3 6_3 0_P_2015_1000 m3_6_3
0 P 2015 1000 m3 6_3_1 0_P_2015_1000 m3_6_3_1
0 P 2015 1000 m3 6_4 0_P_2015_1000 m3_6_4
0 P 2015 1000 m3 6_4_1 0_P_2015_1000 m3_6_4_1
0 P 2015 1000 m3 6_4_2 0_P_2015_1000 m3_6_4_2
0 P 2015 1000 m3 6_4_3 0_P_2015_1000 m3_6_4_3
0 P 2015 1000 mt 7 0_P_2015_1000 mt_7
0 P 2015 1000 mt 7_1 0_P_2015_1000 mt_7_1
0 P 2015 1000 mt 7_2 0_P_2015_1000 mt_7_2
0 P 2015 1000 mt 7_3 0_P_2015_1000 mt_7_3
0 P 2015 1000 mt 7_3_1 0_P_2015_1000 mt_7_3_1
0 P 2015 1000 mt 7_3_2 0_P_2015_1000 mt_7_3_2
0 P 2015 1000 mt 7_3_3 0_P_2015_1000 mt_7_3_3
0 P 2015 1000 mt 7_3_4 0_P_2015_1000 mt_7_3_4
0 P 2015 1000 mt 7_4 0_P_2015_1000 mt_7_4
0 P 2015 1000 mt 8 0_P_2015_1000 mt_8
0 P 2015 1000 mt 8_1 0_P_2015_1000 mt_8_1
0 P 2015 1000 mt 8_2 0_P_2015_1000 mt_8_2
0 P 2015 1000 mt 9 0_P_2015_1000 mt_9
0 P 2015 1000 mt 10 0_P_2015_1000 mt_10
0 P 2015 1000 mt 10_1 0_P_2015_1000 mt_10_1
0 P 2015 1000 mt 10_1_1 0_P_2015_1000 mt_10_1_1
0 P 2015 1000 mt 10_1_2 0_P_2015_1000 mt_10_1_2
0 P 2015 1000 mt 10_1_3 0_P_2015_1000 mt_10_1_3
0 P 2015 1000 mt 10_1_4 0_P_2015_1000 mt_10_1_4
0 P 2015 1000 mt 10_2 0_P_2015_1000 mt_10_2
0 P 2015 1000 mt 10_3 0_P_2015_1000 mt_10_3
0 P 2015 1000 mt 10_3_1 0_P_2015_1000 mt_10_3_1
0 P 2015 1000 mt 10_3_2 0_P_2015_1000 mt_10_3_2
0 P 2015 1000 mt 10_3_3 0_P_2015_1000 mt_10_3_3
0 P 2015 1000 mt 10_3_4 0_P_2015_1000 mt_10_3_4
0 P 2015 1000 mt 10_4 0_P_2015_1000 mt_10_4
0 M 2015 1000 m3 1 0_M_2015_1000 m3_1
0 M 2015 1000 m3 1_1 0_M_2015_1000 m3_1_1
0 M 2015 1000 m3 1_2 0_M_2015_1000 m3_1_2
0 M 2015 1000 m3 1_2_C 0_M_2015_1000 m3_1_2_C
0 M 2015 1000 m3 1_2_NC 0_M_2015_1000 m3_1_2_NC
0 M 2015 1000 m3 1_2_NC_T 0_M_2015_1000 m3_1_2_NC_T
0 M 2015 1000 mt 2 0_M_2015_1000 mt_2
0 M 2015 1000 m3 3 0_M_2015_1000 m3_3
0 M 2015 1000 m3 3_1 0_M_2015_1000 m3_3_1
0 M 2015 1000 m3 3_2 0_M_2015_1000 m3_3_2
0 M 2015 1000 mt 4 0_M_2015_1000 mt_4
0 M 2015 1000 mt 4_1 0_M_2015_1000 mt_4_1
0 M 2015 1000 mt 4_2 0_M_2015_1000 mt_4_2
0 M 2015 1000 m3 5 0_M_2015_1000 m3_5
0 M 2015 1000 m3 5_C 0_M_2015_1000 m3_5_C
0 M 2015 1000 m3 5_NC 0_M_2015_1000 m3_5_NC
0 M 2015 1000 m3 5_NC_T 0_M_2015_1000 m3_5_NC_T
0 M 2015 1000 m3 6 0_M_2015_1000 m3_6
0 M 2015 1000 m3 6_1 0_M_2015_1000 m3_6_1
0 M 2015 1000 m3 6_1_C 0_M_2015_1000 m3_6_1_C
0 M 2015 1000 m3 6_1_NC 0_M_2015_1000 m3_6_1_NC
0 M 2015 1000 m3 6_1_NC_T 0_M_2015_1000 m3_6_1_NC_T
0 M 2015 1000 m3 6_2 0_M_2015_1000 m3_6_2
0 M 2015 1000 m3 6_2_C 0_M_2015_1000 m3_6_2_C
0 M 2015 1000 m3 6_2_NC 0_M_2015_1000 m3_6_2_NC
0 M 2015 1000 m3 6_2_NC_T 0_M_2015_1000 m3_6_2_NC_T
0 M 2015 1000 m3 6_3 0_M_2015_1000 m3_6_3
0 M 2015 1000 m3 6_3_1 0_M_2015_1000 m3_6_3_1
0 M 2015 1000 m3 6_4 0_M_2015_1000 m3_6_4
0 M 2015 1000 m3 6_4_1 0_M_2015_1000 m3_6_4_1
0 M 2015 1000 m3 6_4_2 0_M_2015_1000 m3_6_4_2
0 M 2015 1000 m3 6_4_3 0_M_2015_1000 m3_6_4_3
0 M 2015 1000 mt 7 0_M_2015_1000 mt_7
0 M 2015 1000 mt 7_1 0_M_2015_1000 mt_7_1
0 M 2015 1000 mt 7_2 0_M_2015_1000 mt_7_2
0 M 2015 1000 mt 7_3 0_M_2015_1000 mt_7_3
0 M 2015 1000 mt 7_3_1 0_M_2015_1000 mt_7_3_1
0 M 2015 1000 mt 7_3_2 0_M_2015_1000 mt_7_3_2
0 M 2015 1000 mt 7_3_3 0_M_2015_1000 mt_7_3_3
0 M 2015 1000 mt 7_3_4 0_M_2015_1000 mt_7_3_4
0 M 2015 1000 mt 7_4 0_M_2015_1000 mt_7_4
0 M 2015 1000 mt 8 0_M_2015_1000 mt_8
0 M 2015 1000 mt 8_1 0_M_2015_1000 mt_8_1
0 M 2015 1000 mt 8_2 0_M_2015_1000 mt_8_2
0 M 2015 1000 mt 9 0_M_2015_1000 mt_9
0 M 2015 1000 mt 10 0_M_2015_1000 mt_10
0 M 2015 1000 mt 10_1 0_M_2015_1000 mt_10_1
0 M 2015 1000 mt 10_1_1 0_M_2015_1000 mt_10_1_1
0 M 2015 1000 mt 10_1_2 0_M_2015_1000 mt_10_1_2
0 M 2015 1000 mt 10_1_3 0_M_2015_1000 mt_10_1_3
0 M 2015 1000 mt 10_1_4 0_M_2015_1000 mt_10_1_4
0 M 2015 1000 mt 10_2 0_M_2015_1000 mt_10_2
0 M 2015 1000 mt 10_3 0_M_2015_1000 mt_10_3
0 M 2015 1000 mt 10_3_1 0_M_2015_1000 mt_10_3_1
0 M 2015 1000 mt 10_3_2 0_M_2015_1000 mt_10_3_2
0 M 2015 1000 mt 10_3_3 0_M_2015_1000 mt_10_3_3
0 M 2015 1000 mt 10_3_4 0_M_2015_1000 mt_10_3_4
0 M 2015 1000 mt 10_4 0_M_2015_1000 mt_10_4
0 M 2015 1000 NAC 1 0_M_2015_1000 NAC_1
0 M 2015 1000 NAC 1_1 0_M_2015_1000 NAC_1_1
0 M 2015 1000 NAC 1_2 0_M_2015_1000 NAC_1_2
0 M 2015 1000 NAC 1_2_C 0_M_2015_1000 NAC_1_2_C
0 M 2015 1000 NAC 1_2_NC 0_M_2015_1000 NAC_1_2_NC
0 M 2015 1000 NAC 1_2_NC_T 0_M_2015_1000 NAC_1_2_NC_T
0 M 2015 1000 NAC 2 0_M_2015_1000 NAC_2
0 M 2015 1000 NAC 3 0_M_2015_1000 NAC_3
0 M 2015 1000 NAC 3_1 0_M_2015_1000 NAC_3_1
0 M 2015 1000 NAC 3_2 0_M_2015_1000 NAC_3_2
0 M 2015 1000 NAC 4 0_M_2015_1000 NAC_4
0 M 2015 1000 NAC 4_1 0_M_2015_1000 NAC_4_1
0 M 2015 1000 NAC 4_2 0_M_2015_1000 NAC_4_2
0 M 2015 1000 NAC 5 0_M_2015_1000 NAC_5
0 M 2015 1000 NAC 5_C 0_M_2015_1000 NAC_5_C
0 M 2015 1000 NAC 5_NC 0_M_2015_1000 NAC_5_NC
0 M 2015 1000 NAC 5_NC_T 0_M_2015_1000 NAC_5_NC_T
0 M 2015 1000 NAC 6 0_M_2015_1000 NAC_6
0 M 2015 1000 NAC 6_1 0_M_2015_1000 NAC_6_1
0 M 2015 1000 NAC 6_1_C 0_M_2015_1000 NAC_6_1_C
0 M 2015 1000 NAC 6_1_NC 0_M_2015_1000 NAC_6_1_NC
0 M 2015 1000 NAC 6_1_NC_T 0_M_2015_1000 NAC_6_1_NC_T
0 M 2015 1000 NAC 6_2 0_M_2015_1000 NAC_6_2
0 M 2015 1000 NAC 6_2_C 0_M_2015_1000 NAC_6_2_C
0 M 2015 1000 NAC 6_2_NC 0_M_2015_1000 NAC_6_2_NC
0 M 2015 1000 NAC 6_2_NC_T 0_M_2015_1000 NAC_6_2_NC_T
0 M 2015 1000 NAC 6_3 0_M_2015_1000 NAC_6_3
0 M 2015 1000 NAC 6_3_1 0_M_2015_1000 NAC_6_3_1
0 M 2015 1000 NAC 6_4 0_M_2015_1000 NAC_6_4
0 M 2015 1000 NAC 6_4_1 0_M_2015_1000 NAC_6_4_1
0 M 2015 1000 NAC 6_4_2 0_M_2015_1000 NAC_6_4_2
0 M 2015 1000 NAC 6_4_3 0_M_2015_1000 NAC_6_4_3
0 M 2015 1000 NAC 7 0_M_2015_1000 NAC_7
0 M 2015 1000 NAC 7_1 0_M_2015_1000 NAC_7_1
0 M 2015 1000 NAC 7_2 0_M_2015_1000 NAC_7_2
0 M 2015 1000 NAC 7_3 0_M_2015_1000 NAC_7_3
0 M 2015 1000 NAC 7_3_1 0_M_2015_1000 NAC_7_3_1
0 M 2015 1000 NAC 7_3_2 0_M_2015_1000 NAC_7_3_2
0 M 2015 1000 NAC 7_3_3 0_M_2015_1000 NAC_7_3_3
0 M 2015 1000 NAC 7_3_4 0_M_2015_1000 NAC_7_3_4
0 M 2015 1000 NAC 7_4 0_M_2015_1000 NAC_7_4
0 M 2015 1000 NAC 8 0_M_2015_1000 NAC_8
0 M 2015 1000 NAC 8_1 0_M_2015_1000 NAC_8_1
0 M 2015 1000 NAC 8_2 0_M_2015_1000 NAC_8_2
0 M 2015 1000 NAC 9 0_M_2015_1000 NAC_9
0 M 2015 1000 NAC 10 0_M_2015_1000 NAC_10
0 M 2015 1000 NAC 10_1 0_M_2015_1000 NAC_10_1
0 M 2015 1000 NAC 10_1_1 0_M_2015_1000 NAC_10_1_1
0 M 2015 1000 NAC 10_1_2 0_M_2015_1000 NAC_10_1_2
0 M 2015 1000 NAC 10_1_3 0_M_2015_1000 NAC_10_1_3
0 M 2015 1000 NAC 10_1_4 0_M_2015_1000 NAC_10_1_4
0 M 2015 1000 NAC 10_2 0_M_2015_1000 NAC_10_2
0 M 2015 1000 NAC 10_3 0_M_2015_1000 NAC_10_3
0 M 2015 1000 NAC 10_3_1 0_M_2015_1000 NAC_10_3_1
0 M 2015 1000 NAC 10_3_2 0_M_2015_1000 NAC_10_3_2
0 M 2015 1000 NAC 10_3_3 0_M_2015_1000 NAC_10_3_3
0 M 2015 1000 NAC 10_3_4 0_M_2015_1000 NAC_10_3_4
0 M 2015 1000 NAC 10_4 0_M_2015_1000 NAC_10_4
0 X 2015 1000 m3 1 0_X_2015_1000 m3_1
0 X 2015 1000 m3 1_1 0_X_2015_1000 m3_1_1
0 X 2015 1000 m3 1_2 0_X_2015_1000 m3_1_2
0 X 2015 1000 m3 1_2_C 0_X_2015_1000 m3_1_2_C
0 X 2015 1000 m3 1_2_NC 0_X_2015_1000 m3_1_2_NC
0 X 2015 1000 m3 1_2_NC_T 0_X_2015_1000 m3_1_2_NC_T
0 X 2015 1000 mt 2 0_X_2015_1000 mt_2
0 X 2015 1000 m3 3 0_X_2015_1000 m3_3
0 X 2015 1000 m3 3_1 0_X_2015_1000 m3_3_1
0 X 2015 1000 m3 3_2 0_X_2015_1000 m3_3_2
0 X 2015 1000 mt 4 0_X_2015_1000 mt_4
0 X 2015 1000 mt 4_1 0_X_2015_1000 mt_4_1
0 X 2015 1000 mt 4_2 0_X_2015_1000 mt_4_2
0 X 2015 1000 m3 5 0_X_2015_1000 m3_5
0 X 2015 1000 m3 5_C 0_X_2015_1000 m3_5_C
0 X 2015 1000 m3 5_NC 0_X_2015_1000 m3_5_NC
0 X 2015 1000 m3 5_NC_T 0_X_2015_1000 m3_5_NC_T
0 X 2015 1000 m3 6 0_X_2015_1000 m3_6
0 X 2015 1000 m3 6_1 0_X_2015_1000 m3_6_1
0 X 2015 1000 m3 6_1_C 0_X_2015_1000 m3_6_1_C
0 X 2015 1000 m3 6_1_NC 0_X_2015_1000 m3_6_1_NC
0 X 2015 1000 m3 6_1_NC_T 0_X_2015_1000 m3_6_1_NC_T
0 X 2015 1000 m3 6_2 0_X_2015_1000 m3_6_2
0 X 2015 1000 m3 6_2_C 0_X_2015_1000 m3_6_2_C
0 X 2015 1000 m3 6_2_NC 0_X_2015_1000 m3_6_2_NC
0 X 2015 1000 m3 6_2_NC_T 0_X_2015_1000 m3_6_2_NC_T
0 X 2015 1000 m3 6_3 0_X_2015_1000 m3_6_3
0 X 2015 1000 m3 6_3_1 0_X_2015_1000 m3_6_3_1
0 X 2015 1000 m3 6_4 0_X_2015_1000 m3_6_4
0 X 2015 1000 m3 6_4_1 0_X_2015_1000 m3_6_4_1
0 X 2015 1000 m3 6_4_2 0_X_2015_1000 m3_6_4_2
0 X 2015 1000 m3 6_4_3 0_X_2015_1000 m3_6_4_3
0 X 2015 1000 mt 7 0_X_2015_1000 mt_7
0 X 2015 1000 mt 7_1 0_X_2015_1000 mt_7_1
0 X 2015 1000 mt 7_2 0_X_2015_1000 mt_7_2
0 X 2015 1000 mt 7_3 0_X_2015_1000 mt_7_3
0 X 2015 1000 mt 7_3_1 0_X_2015_1000 mt_7_3_1
0 X 2015 1000 mt 7_3_2 0_X_2015_1000 mt_7_3_2
0 X 2015 1000 mt 7_3_3 0_X_2015_1000 mt_7_3_3
0 X 2015 1000 mt 7_3_4 0_X_2015_1000 mt_7_3_4
0 X 2015 1000 mt 7_4 0_X_2015_1000 mt_7_4
0 X 2015 1000 mt 8 0_X_2015_1000 mt_8
0 X 2015 1000 mt 8_1 0_X_2015_1000 mt_8_1
0 X 2015 1000 mt 8_2 0_X_2015_1000 mt_8_2
0 X 2015 1000 mt 9 0_X_2015_1000 mt_9
0 X 2015 1000 mt 10 0_X_2015_1000 mt_10
0 X 2015 1000 mt 10_1 0_X_2015_1000 mt_10_1
0 X 2015 1000 mt 10_1_1 0_X_2015_1000 mt_10_1_1
0 X 2015 1000 mt 10_1_2 0_X_2015_1000 mt_10_1_2
0 X 2015 1000 mt 10_1_3 0_X_2015_1000 mt_10_1_3
0 X 2015 1000 mt 10_1_4 0_X_2015_1000 mt_10_1_4
0 X 2015 1000 mt 10_2 0_X_2015_1000 mt_10_2
0 X 2015 1000 mt 10_3 0_X_2015_1000 mt_10_3
0 X 2015 1000 mt 10_3_1 0_X_2015_1000 mt_10_3_1
0 X 2015 1000 mt 10_3_2 0_X_2015_1000 mt_10_3_2
0 X 2015 1000 mt 10_3_3 0_X_2015_1000 mt_10_3_3
0 X 2015 1000 mt 10_3_4 0_X_2015_1000 mt_10_3_4
0 X 2015 1000 mt 10_4 0_X_2015_1000 mt_10_4
0 X 2015 1000 NAC 1 0_X_2015_1000 NAC_1
0 X 2015 1000 NAC 1_1 0_X_2015_1000 NAC_1_1
0 X 2015 1000 NAC 1_2 0_X_2015_1000 NAC_1_2
0 X 2015 1000 NAC 1_2_C 0_X_2015_1000 NAC_1_2_C
0 X 2015 1000 NAC 1_2_NC 0_X_2015_1000 NAC_1_2_NC
0 X 2015 1000 NAC 1_2_NC_T 0_X_2015_1000 NAC_1_2_NC_T
0 X 2015 1000 NAC 2 0_X_2015_1000 NAC_2
0 X 2015 1000 NAC 3 0_X_2015_1000 NAC_3
0 X 2015 1000 NAC 3_1 0_X_2015_1000 NAC_3_1
0 X 2015 1000 NAC 3_2 0_X_2015_1000 NAC_3_2
0 X 2015 1000 NAC 4 0_X_2015_1000 NAC_4
0 X 2015 1000 NAC 4_1 0_X_2015_1000 NAC_4_1
0 X 2015 1000 NAC 4_2 0_X_2015_1000 NAC_4_2
0 X 2015 1000 NAC 5 0_X_2015_1000 NAC_5
0 X 2015 1000 NAC 5_C 0_X_2015_1000 NAC_5_C
0 X 2015 1000 NAC 5_NC 0_X_2015_1000 NAC_5_NC
0 X 2015 1000 NAC 5_NC_T 0_X_2015_1000 NAC_5_NC_T
0 X 2015 1000 NAC 6 0_X_2015_1000 NAC_6
0 X 2015 1000 NAC 6_1 0_X_2015_1000 NAC_6_1
0 X 2015 1000 NAC 6_1_C 0_X_2015_1000 NAC_6_1_C
0 X 2015 1000 NAC 6_1_NC 0_X_2015_1000 NAC_6_1_NC
0 X 2015 1000 NAC 6_1_NC_T 0_X_2015_1000 NAC_6_1_NC_T
0 X 2015 1000 NAC 6_2 0_X_2015_1000 NAC_6_2
0 X 2015 1000 NAC 6_2_C 0_X_2015_1000 NAC_6_2_C
0 X 2015 1000 NAC 6_2_NC 0_X_2015_1000 NAC_6_2_NC
0 X 2015 1000 NAC 6_2_NC_T 0_X_2015_1000 NAC_6_2_NC_T
0 X 2015 1000 NAC 6_3 0_X_2015_1000 NAC_6_3
0 X 2015 1000 NAC 6_3_1 0_X_2015_1000 NAC_6_3_1
0 X 2015 1000 NAC 6_4 0_X_2015_1000 NAC_6_4
0 X 2015 1000 NAC 6_4_1 0_X_2015_1000 NAC_6_4_1
0 X 2015 1000 NAC 6_4_2 0_X_2015_1000 NAC_6_4_2
0 X 2015 1000 NAC 6_4_3 0_X_2015_1000 NAC_6_4_3
0 X 2015 1000 NAC 7 0_X_2015_1000 NAC_7
0 X 2015 1000 NAC 7_1 0_X_2015_1000 NAC_7_1
0 X 2015 1000 NAC 7_2 0_X_2015_1000 NAC_7_2
0 X 2015 1000 NAC 7_3 0_X_2015_1000 NAC_7_3
0 X 2015 1000 NAC 7_3_1 0_X_2015_1000 NAC_7_3_1
0 X 2015 1000 NAC 7_3_2 0_X_2015_1000 NAC_7_3_2
0 X 2015 1000 NAC 7_3_3 0_X_2015_1000 NAC_7_3_3
0 X 2015 1000 NAC 7_3_4 0_X_2015_1000 NAC_7_3_4
0 X 2015 1000 NAC 7_4 0_X_2015_1000 NAC_7_4
0 X 2015 1000 NAC 8 0_X_2015_1000 NAC_8
0 X 2015 1000 NAC 8_1 0_X_2015_1000 NAC_8_1
0 X 2015 1000 NAC 8_2 0_X_2015_1000 NAC_8_2
0 X 2015 1000 NAC 9 0_X_2015_1000 NAC_9
0 X 2015 1000 NAC 10 0_X_2015_1000 NAC_10
0 X 2015 1000 NAC 10_1 0_X_2015_1000 NAC_10_1
0 X 2015 1000 NAC 10_1_1 0_X_2015_1000 NAC_10_1_1
0 X 2015 1000 NAC 10_1_2 0_X_2015_1000 NAC_10_1_2
0 X 2015 1000 NAC 10_1_3 0_X_2015_1000 NAC_10_1_3
0 X 2015 1000 NAC 10_1_4 0_X_2015_1000 NAC_10_1_4
0 X 2015 1000 NAC 10_2 0_X_2015_1000 NAC_10_2
0 X 2015 1000 NAC 10_3 0_X_2015_1000 NAC_10_3
0 X 2015 1000 NAC 10_3_1 0_X_2015_1000 NAC_10_3_1
0 X 2015 1000 NAC 10_3_2 0_X_2015_1000 NAC_10_3_2
0 X 2015 1000 NAC 10_3_3 0_X_2015_1000 NAC_10_3_3
0 X 2015 1000 NAC 10_3_4 0_X_2015_1000 NAC_10_3_4
0 X 2015 1000 NAC 10_4 0_X_2015_1000 NAC_10_4
0 M 2015 1000 NAC 11_1 0_M_2015_1000 NAC_11_1
0 M 2015 1000 NAC 11_1_C 0_M_2015_1000 NAC_11_1_C
0 M 2015 1000 NAC 11_1_NC 0_M_2015_1000 NAC_11_1_NC
0 M 2015 1000 NAC 11_1_NC_T 0_M_2015_1000 NAC_11_1_NC_T
0 M 2015 1000 NAC 11_2 0_M_2015_1000 NAC_11_2
0 M 2015 1000 NAC 11_3 0_M_2015_1000 NAC_11_3
0 M 2015 1000 NAC 11_4 0_M_2015_1000 NAC_11_4
0 M 2015 1000 NAC 11_5 0_M_2015_1000 NAC_11_5
0 M 2015 1000 NAC 11_6 0_M_2015_1000 NAC_11_6
0 M 2015 1000 NAC 11_7 0_M_2015_1000 NAC_11_7
0 M 2015 1000 NAC 11_7_1 0_M_2015_1000 NAC_11_7_1
0 M 2015 1000 NAC 12_1 0_M_2015_1000 NAC_12_1
0 M 2015 1000 NAC 12_2 0_M_2015_1000 NAC_12_2
0 M 2015 1000 NAC 12_3 0_M_2015_1000 NAC_12_3
0 M 2015 1000 NAC 12_4 0_M_2015_1000 NAC_12_4
0 M 2015 1000 NAC 12_5 0_M_2015_1000 NAC_12_5
0 M 2015 1000 NAC 12_6 0_M_2015_1000 NAC_12_6
0 M 2015 1000 NAC 12_6_1 0_M_2015_1000 NAC_12_6_1
0 M 2015 1000 NAC 12_6_2 0_M_2015_1000 NAC_12_6_2
0 M 2015 1000 NAC 12_6_3 0_M_2015_1000 NAC_12_6_3
0 M 2015 1000 NAC 12_7 0_M_2015_1000 NAC_12_7
0 M 2015 1000 NAC 12_7_1 0_M_2015_1000 NAC_12_7_1
0 M 2015 1000 NAC 12_7_2 0_M_2015_1000 NAC_12_7_2
0 M 2015 1000 NAC 12_7_3 0_M_2015_1000 NAC_12_7_3
0 X 2015 1000 NAC 11_1 0_X_2015_1000 NAC_11_1
0 X 2015 1000 NAC 11_1_C 0_X_2015_1000 NAC_11_1_C
0 X 2015 1000 NAC 11_1_NC 0_X_2015_1000 NAC_11_1_NC
0 X 2015 1000 NAC 11_1_NC_T 0_X_2015_1000 NAC_11_1_NC_T
0 X 2015 1000 NAC 11_2 0_X_2015_1000 NAC_11_2
0 X 2015 1000 NAC 11_3 0_X_2015_1000 NAC_11_3
0 X 2015 1000 NAC 11_4 0_X_2015_1000 NAC_11_4
0 X 2015 1000 NAC 11_5 0_X_2015_1000 NAC_11_5
0 X 2015 1000 NAC 11_6 0_X_2015_1000 NAC_11_6
0 X 2015 1000 NAC 11_7 0_X_2015_1000 NAC_11_7
0 X 2015 1000 NAC 11_7_1 0_X_2015_1000 NAC_11_7_1
0 X 2015 1000 NAC 12_1 0_X_2015_1000 NAC_12_1
0 X 2015 1000 NAC 12_2 0_X_2015_1000 NAC_12_2
0 X 2015 1000 NAC 12_3 0_X_2015_1000 NAC_12_3
0 X 2015 1000 NAC 12_4 0_X_2015_1000 NAC_12_4
0 X 2015 1000 NAC 12_5 0_X_2015_1000 NAC_12_5
0 X 2015 1000 NAC 12_6 0_X_2015_1000 NAC_12_6
0 X 2015 1000 NAC 12_6_1 0_X_2015_1000 NAC_12_6_1
0 X 2015 1000 NAC 12_6_2 0_X_2015_1000 NAC_12_6_2
0 X 2015 1000 NAC 12_6_3 0_X_2015_1000 NAC_12_6_3
0 X 2015 1000 NAC 12_7 0_X_2015_1000 NAC_12_7
0 X 2015 1000 NAC 12_7_1 0_X_2015_1000 NAC_12_7_1
0 X 2015 1000 NAC 12_7_2 0_X_2015_1000 NAC_12_7_2
0 X 2015 1000 NAC 12_7_3 0_X_2015_1000 NAC_12_7_3
0 M 2015 1000 m3 ST_1_2_C 0_M_2015_1000 m3_ST_1_2_C
0 M 2015 1000 m3 ST_1_2_C_1 0_M_2015_1000 m3_ST_1_2_C_1
0 M 2015 1000 m3 ST_1_2_C_1_1 0_M_2015_1000 m3_ST_1_2_C_1_1
0 M 2015 1000 m3 ST_1_2_C_2_1 0_M_2015_1000 m3_ST_1_2_C_2_1
0 M 2015 1000 m3 ST_1_2_C_2 0_M_2015_1000 m3_ST_1_2_C_2
0 M 2015 1000 m3 ST_1_2_C_1_2 0_M_2015_1000 m3_ST_1_2_C_1_2
0 M 2015 1000 m3 ST_1_2_C_2_2 0_M_2015_1000 m3_ST_1_2_C_2_2
0 M 2015 1000 m3 ST_1_2_C_3 0_M_2015_1000 m3_ST_1_2_C_3
0 M 2015 1000 m3 ST_1_2_C_1_3 0_M_2015_1000 m3_ST_1_2_C_1_3
0 M 2015 1000 m3 ST_1_2_C_2_3 0_M_2015_1000 m3_ST_1_2_C_2_3
0 M 2015 1000 m3 ST_1_2_NC 0_M_2015_1000 m3_ST_1_2_NC
0 M 2015 1000 m3 ST_1_2_NC_1 0_M_2015_1000 m3_ST_1_2_NC_1
0 M 2015 1000 m3 ST_1_2_NC_1_1 0_M_2015_1000 m3_ST_1_2_NC_1_1
0 M 2015 1000 m3 ST_1_2_NC_2_1 0_M_2015_1000 m3_ST_1_2_NC_2_1
0 M 2015 1000 m3 ST_1_2_NC_2 0_M_2015_1000 m3_ST_1_2_NC_2
0 M 2015 1000 m3 ST_1_2_NC_1_2 0_M_2015_1000 m3_ST_1_2_NC_1_2
0 M 2015 1000 m3 ST_1_2_NC_2_2 0_M_2015_1000 m3_ST_1_2_NC_2_2
0 M 2015 1000 m3 ST_1_2_NC_3 0_M_2015_1000 m3_ST_1_2_NC_3
0 M 2015 1000 m3 ST_1_2_NC_1_3 0_M_2015_1000 m3_ST_1_2_NC_1_3
0 M 2015 1000 m3 ST_1_2_NC_2_3 0_M_2015_1000 m3_ST_1_2_NC_2_3
0 M 2015 1000 m3 ST_1_2_NC_4 0_M_2015_1000 m3_ST_1_2_NC_4
0 M 2015 1000 m3 ST_1_2_NC_5 0_M_2015_1000 m3_ST_1_2_NC_5
0 M 2015 1000 m3 ST_5_C 0_M_2015_1000 m3_ST_5_C
0 M 2015 1000 m3 ST_5_C_1 0_M_2015_1000 m3_ST_5_C_1
0 M 2015 1000 m3 ST_5_C_2 0_M_2015_1000 m3_ST_5_C_2
0 M 2015 1000 m3 ST_5_NC 0_M_2015_1000 m3_ST_5_NC
0 M 2015 1000 m3 ST_5_NC_1 0_M_2015_1000 m3_ST_5_NC_1
0 M 2015 1000 m3 ST_5_NC_2 0_M_2015_1000 m3_ST_5_NC_2
0 M 2015 1000 m3 ST_5_NC_3 0_M_2015_1000 m3_ST_5_NC_3
0 M 2015 1000 m3 ST_5_NC_4 0_M_2015_1000 m3_ST_5_NC_4
0 M 2015 1000 m3 ST_5_NC_5 0_M_2015_1000 m3_ST_5_NC_5
0 M 2015 1000 m3 ST_5_NC_6 0_M_2015_1000 m3_ST_5_NC_6
0 M 2015 1000 m3 ST_5_NC_7 0_M_2015_1000 m3_ST_5_NC_7
0 M 2015 1000 NAC ST_1_2_C 0_M_2015_1000 NAC_ST_1_2_C
0 M 2015 1000 NAC ST_1_2_C_1 0_M_2015_1000 NAC_ST_1_2_C_1
0 M 2015 1000 NAC ST_1_2_C_1_1 0_M_2015_1000 NAC_ST_1_2_C_1_1
0 M 2015 1000 NAC ST_1_2_C_2_1 0_M_2015_1000 NAC_ST_1_2_C_2_1
0 M 2015 1000 NAC ST_1_2_C_2 0_M_2015_1000 NAC_ST_1_2_C_2
0 M 2015 1000 NAC ST_1_2_C_1_2 0_M_2015_1000 NAC_ST_1_2_C_1_2
0 M 2015 1000 NAC ST_1_2_C_2_2 0_M_2015_1000 NAC_ST_1_2_C_2_2
0 M 2015 1000 NAC ST_1_2_C_3 0_M_2015_1000 NAC_ST_1_2_C_3
0 M 2015 1000 NAC ST_1_2_C_1_3 0_M_2015_1000 NAC_ST_1_2_C_1_3
0 M 2015 1000 NAC ST_1_2_C_2_3 0_M_2015_1000 NAC_ST_1_2_C_2_3
0 M 2015 1000 NAC ST_1_2_NC 0_M_2015_1000 NAC_ST_1_2_NC
0 M 2015 1000 NAC ST_1_2_NC_1 0_M_2015_1000 NAC_ST_1_2_NC_1
0 M 2015 1000 NAC ST_1_2_NC_1_1 0_M_2015_1000 NAC_ST_1_2_NC_1_1
0 M 2015 1000 NAC ST_1_2_NC_2_1 0_M_2015_1000 NAC_ST_1_2_NC_2_1
0 M 2015 1000 NAC ST_1_2_NC_2 0_M_2015_1000 NAC_ST_1_2_NC_2
0 M 2015 1000 NAC ST_1_2_NC_1_2 0_M_2015_1000 NAC_ST_1_2_NC_1_2
0 M 2015 1000 NAC ST_1_2_NC_2_2 0_M_2015_1000 NAC_ST_1_2_NC_2_2
0 M 2015 1000 NAC ST_1_2_NC_3 0_M_2015_1000 NAC_ST_1_2_NC_3
0 M 2015 1000 NAC ST_1_2_NC_1_3 0_M_2015_1000 NAC_ST_1_2_NC_1_3
0 M 2015 1000 NAC ST_1_2_NC_2_3 0_M_2015_1000 NAC_ST_1_2_NC_2_3
0 M 2015 1000 NAC ST_1_2_NC_4 0_M_2015_1000 NAC_ST_1_2_NC_4
0 M 2015 1000 NAC ST_1_2_NC_5 0_M_2015_1000 NAC_ST_1_2_NC_5
0 M 2015 1000 NAC ST_5_C 0_M_2015_1000 NAC_ST_5_C
0 M 2015 1000 NAC ST_5_C_1 0_M_2015_1000 NAC_ST_5_C_1
0 M 2015 1000 NAC ST_5_C_2 0_M_2015_1000 NAC_ST_5_C_2
0 M 2015 1000 NAC ST_5_NC 0_M_2015_1000 NAC_ST_5_NC
0 M 2015 1000 NAC ST_5_NC_1 0_M_2015_1000 NAC_ST_5_NC_1
0 M 2015 1000 NAC ST_5_NC_2 0_M_2015_1000 NAC_ST_5_NC_2
0 M 2015 1000 NAC ST_5_NC_3 0_M_2015_1000 NAC_ST_5_NC_3
0 M 2015 1000 NAC ST_5_NC_4 0_M_2015_1000 NAC_ST_5_NC_4
0 M 2015 1000 NAC ST_5_NC_5 0_M_2015_1000 NAC_ST_5_NC_5
0 M 2015 1000 NAC ST_5_NC_6 0_M_2015_1000 NAC_ST_5_NC_6
0 M 2015 1000 NAC ST_5_NC_7 0_M_2015_1000 NAC_ST_5_NC_7
0 X 2015 1000 m3 ST_1_2_C 0_X_2015_1000 m3_ST_1_2_C
0 X 2015 1000 m3 ST_1_2_C_1 0_X_2015_1000 m3_ST_1_2_C_1
0 X 2015 1000 m3 ST_1_2_C_1_1 0_X_2015_1000 m3_ST_1_2_C_1_1
0 X 2015 1000 m3 ST_1_2_C_2_1 0_X_2015_1000 m3_ST_1_2_C_2_1
0 X 2015 1000 m3 ST_1_2_C_2 0_X_2015_1000 m3_ST_1_2_C_2
0 X 2015 1000 m3 ST_1_2_C_1_2 0_X_2015_1000 m3_ST_1_2_C_1_2
0 X 2015 1000 m3 ST_1_2_C_2_2 0_X_2015_1000 m3_ST_1_2_C_2_2
0 X 2015 1000 m3 ST_1_2_C_3 0_X_2015_1000 m3_ST_1_2_C_3
0 X 2015 1000 m3 ST_1_2_C_1_3 0_X_2015_1000 m3_ST_1_2_C_1_3
0 X 2015 1000 m3 ST_1_2_C_2_3 0_X_2015_1000 m3_ST_1_2_C_2_3
0 X 2015 1000 m3 ST_1_2_NC 0_X_2015_1000 m3_ST_1_2_NC
0 X 2015 1000 m3 ST_1_2_NC_1 0_X_2015_1000 m3_ST_1_2_NC_1
0 X 2015 1000 m3 ST_1_2_NC_1_1 0_X_2015_1000 m3_ST_1_2_NC_1_1
0 X 2015 1000 m3 ST_1_2_NC_2_1 0_X_2015_1000 m3_ST_1_2_NC_2_1
0 X 2015 1000 m3 ST_1_2_NC_2 0_X_2015_1000 m3_ST_1_2_NC_2
0 X 2015 1000 m3 ST_1_2_NC_1_2 0_X_2015_1000 m3_ST_1_2_NC_1_2
0 X 2015 1000 m3 ST_1_2_NC_2_2 0_X_2015_1000 m3_ST_1_2_NC_2_2
0 X 2015 1000 m3 ST_1_2_NC_3 0_X_2015_1000 m3_ST_1_2_NC_3
0 X 2015 1000 m3 ST_1_2_NC_1_3 0_X_2015_1000 m3_ST_1_2_NC_1_3
0 X 2015 1000 m3 ST_1_2_NC_2_3 0_X_2015_1000 m3_ST_1_2_NC_2_3
0 X 2015 1000 m3 ST_1_2_NC_4 0_X_2015_1000 m3_ST_1_2_NC_4
0 X 2015 1000 m3 ST_1_2_NC_5 0_X_2015_1000 m3_ST_1_2_NC_5
0 X 2015 1000 m3 ST_5_C 0_X_2015_1000 m3_ST_5_C
0 X 2015 1000 m3 ST_5_C_1 0_X_2015_1000 m3_ST_5_C_1
0 X 2015 1000 m3 ST_5_C_2 0_X_2015_1000 m3_ST_5_C_2
0 X 2015 1000 m3 ST_5_NC 0_X_2015_1000 m3_ST_5_NC
0 X 2015 1000 m3 ST_5_NC_1 0_X_2015_1000 m3_ST_5_NC_1
0 X 2015 1000 m3 ST_5_NC_2 0_X_2015_1000 m3_ST_5_NC_2
0 X 2015 1000 m3 ST_5_NC_3 0_X_2015_1000 m3_ST_5_NC_3
0 X 2015 1000 m3 ST_5_NC_4 0_X_2015_1000 m3_ST_5_NC_4
0 X 2015 1000 m3 ST_5_NC_5 0_X_2015_1000 m3_ST_5_NC_5
0 X 2015 1000 m3 ST_5_NC_6 0_X_2015_1000 m3_ST_5_NC_6
0 X 2015 1000 m3 ST_5_NC_7 0_X_2015_1000 m3_ST_5_NC_7
0 X 2015 1000 NAC ST_1_2_C 0_X_2015_1000 NAC_ST_1_2_C
0 X 2015 1000 NAC ST_1_2_C_1 0_X_2015_1000 NAC_ST_1_2_C_1
0 X 2015 1000 NAC ST_1_2_C_1_1 0_X_2015_1000 NAC_ST_1_2_C_1_1
0 X 2015 1000 NAC ST_1_2_C_2_1 0_X_2015_1000 NAC_ST_1_2_C_2_1
0 X 2015 1000 NAC ST_1_2_C_2 0_X_2015_1000 NAC_ST_1_2_C_2
0 X 2015 1000 NAC ST_1_2_C_1_2 0_X_2015_1000 NAC_ST_1_2_C_1_2
0 X 2015 1000 NAC ST_1_2_C_2_2 0_X_2015_1000 NAC_ST_1_2_C_2_2
0 X 2015 1000 NAC ST_1_2_C_3 0_X_2015_1000 NAC_ST_1_2_C_3
0 X 2015 1000 NAC ST_1_2_C_1_3 0_X_2015_1000 NAC_ST_1_2_C_1_3
0 X 2015 1000 NAC ST_1_2_C_2_3 0_X_2015_1000 NAC_ST_1_2_C_2_3
0 X 2015 1000 NAC ST_1_2_NC 0_X_2015_1000 NAC_ST_1_2_NC
0 X 2015 1000 NAC ST_1_2_NC_1 0_X_2015_1000 NAC_ST_1_2_NC_1
0 X 2015 1000 NAC ST_1_2_NC_1_1 0_X_2015_1000 NAC_ST_1_2_NC_1_1
0 X 2015 1000 NAC ST_1_2_NC_2_1 0_X_2015_1000 NAC_ST_1_2_NC_2_1
0 X 2015 1000 NAC ST_1_2_NC_2 0_X_2015_1000 NAC_ST_1_2_NC_2
0 X 2015 1000 NAC ST_1_2_NC_1_2 0_X_2015_1000 NAC_ST_1_2_NC_1_2
0 X 2015 1000 NAC ST_1_2_NC_2_2 0_X_2015_1000 NAC_ST_1_2_NC_2_2
0 X 2015 1000 NAC ST_1_2_NC_3 0_X_2015_1000 NAC_ST_1_2_NC_3
0 X 2015 1000 NAC ST_1_2_NC_1_3 0_X_2015_1000 NAC_ST_1_2_NC_1_3
0 X 2015 1000 NAC ST_1_2_NC_2_3 0_X_2015_1000 NAC_ST_1_2_NC_2_3
0 X 2015 1000 NAC ST_1_2_NC_4 0_X_2015_1000 NAC_ST_1_2_NC_4
0 X 2015 1000 NAC ST_1_2_NC_5 0_X_2015_1000 NAC_ST_1_2_NC_5
0 X 2015 1000 NAC ST_5_C 0_X_2015_1000 NAC_ST_5_C
0 X 2015 1000 NAC ST_5_C_1 0_X_2015_1000 NAC_ST_5_C_1
0 X 2015 1000 NAC ST_5_C_2 0_X_2015_1000 NAC_ST_5_C_2
0 X 2015 1000 NAC ST_5_NC 0_X_2015_1000 NAC_ST_5_NC
0 X 2015 1000 NAC ST_5_NC_1 0_X_2015_1000 NAC_ST_5_NC_1
0 X 2015 1000 NAC ST_5_NC_2 0_X_2015_1000 NAC_ST_5_NC_2
0 X 2015 1000 NAC ST_5_NC_3 0_X_2015_1000 NAC_ST_5_NC_3
0 X 2015 1000 NAC ST_5_NC_4 0_X_2015_1000 NAC_ST_5_NC_4
0 X 2015 1000 NAC ST_5_NC_5 0_X_2015_1000 NAC_ST_5_NC_5
0 X 2015 1000 NAC ST_5_NC_6 0_X_2015_1000 NAC_ST_5_NC_6
0 X 2015 1000 NAC ST_5_NC_7 0_X_2015_1000 NAC_ST_5_NC_7
0 EX_M 2015 1000 m3 1 0_EX_M_2015_1000 m3_1
0 EX_M 2015 1000 m3 1_1 0_EX_M_2015_1000 m3_1_1
0 EX_M 2015 1000 m3 1_2 0_EX_M_2015_1000 m3_1_2
0 EX_M 2015 1000 m3 1_2_C 0_EX_M_2015_1000 m3_1_2_C
0 EX_M 2015 1000 m3 1_2_NC 0_EX_M_2015_1000 m3_1_2_NC
0 EX_M 2015 1000 m3 1_2_NC_T 0_EX_M_2015_1000 m3_1_2_NC_T
0 EX_M 2015 1000 mt 2 0_EX_M_2015_1000 mt_2
0 EX_M 2015 1000 m3 3 0_EX_M_2015_1000 m3_3
0 EX_M 2015 1000 m3 3_1 0_EX_M_2015_1000 m3_3_1
0 EX_M 2015 1000 m3 3_2 0_EX_M_2015_1000 m3_3_2
0 EX_M 2015 1000 mt 4 0_EX_M_2015_1000 mt_4
0 EX_M 2015 1000 mt 4_1 0_EX_M_2015_1000 mt_4_1
0 EX_M 2015 1000 mt 4_2 0_EX_M_2015_1000 mt_4_2
0 EX_M 2015 1000 m3 5 0_EX_M_2015_1000 m3_5
0 EX_M 2015 1000 m3 5_C 0_EX_M_2015_1000 m3_5_C
0 EX_M 2015 1000 m3 5_NC 0_EX_M_2015_1000 m3_5_NC
0 EX_M 2015 1000 m3 5_NC_T 0_EX_M_2015_1000 m3_5_NC_T
0 EX_M 2015 1000 m3 6 0_EX_M_2015_1000 m3_6
0 EX_M 2015 1000 m3 6_1 0_EX_M_2015_1000 m3_6_1
0 EX_M 2015 1000 m3 6_1_C 0_EX_M_2015_1000 m3_6_1_C
0 EX_M 2015 1000 m3 6_1_NC 0_EX_M_2015_1000 m3_6_1_NC
0 EX_M 2015 1000 m3 6_1_NC_T 0_EX_M_2015_1000 m3_6_1_NC_T
0 EX_M 2015 1000 m3 6_2 0_EX_M_2015_1000 m3_6_2
0 EX_M 2015 1000 m3 6_2_C 0_EX_M_2015_1000 m3_6_2_C
0 EX_M 2015 1000 m3 6_2_NC 0_EX_M_2015_1000 m3_6_2_NC
0 EX_M 2015 1000 m3 6_2_NC_T 0_EX_M_2015_1000 m3_6_2_NC_T
0 EX_M 2015 1000 m3 6_3 0_EX_M_2015_1000 m3_6_3
0 EX_M 2015 1000 m3 6_3_1 0_EX_M_2015_1000 m3_6_3_1
0 EX_M 2015 1000 m3 6_4 0_EX_M_2015_1000 m3_6_4
0 EX_M 2015 1000 m3 6_4_1 0_EX_M_2015_1000 m3_6_4_1
0 EX_M 2015 1000 m3 6_4_2 0_EX_M_2015_1000 m3_6_4_2
0 EX_M 2015 1000 m3 6_4_3 0_EX_M_2015_1000 m3_6_4_3
0 EX_M 2015 1000 mt 7 0_EX_M_2015_1000 mt_7
0 EX_M 2015 1000 mt 7_1 0_EX_M_2015_1000 mt_7_1
0 EX_M 2015 1000 mt 7_2 0_EX_M_2015_1000 mt_7_2
0 EX_M 2015 1000 mt 7_3 0_EX_M_2015_1000 mt_7_3
0 EX_M 2015 1000 mt 7_3_1 0_EX_M_2015_1000 mt_7_3_1
0 EX_M 2015 1000 mt 7_3_2 0_EX_M_2015_1000 mt_7_3_2
0 EX_M 2015 1000 mt 7_3_3 0_EX_M_2015_1000 mt_7_3_3
0 EX_M 2015 1000 mt 7_3_4 0_EX_M_2015_1000 mt_7_3_4
0 EX_M 2015 1000 mt 7_4 0_EX_M_2015_1000 mt_7_4
0 EX_M 2015 1000 mt 8 0_EX_M_2015_1000 mt_8
0 EX_M 2015 1000 mt 8_1 0_EX_M_2015_1000 mt_8_1
0 EX_M 2015 1000 mt 8_2 0_EX_M_2015_1000 mt_8_2
0 EX_M 2015 1000 mt 9 0_EX_M_2015_1000 mt_9
0 EX_M 2015 1000 mt 10 0_EX_M_2015_1000 mt_10
0 EX_M 2015 1000 mt 10_1 0_EX_M_2015_1000 mt_10_1
0 EX_M 2015 1000 mt 10_1_1 0_EX_M_2015_1000 mt_10_1_1
0 EX_M 2015 1000 mt 10_1_2 0_EX_M_2015_1000 mt_10_1_2
0 EX_M 2015 1000 mt 10_1_3 0_EX_M_2015_1000 mt_10_1_3
0 EX_M 2015 1000 mt 10_1_4 0_EX_M_2015_1000 mt_10_1_4
0 EX_M 2015 1000 mt 10_2 0_EX_M_2015_1000 mt_10_2
0 EX_M 2015 1000 mt 10_3 0_EX_M_2015_1000 mt_10_3
0 EX_M 2015 1000 mt 10_3_1 0_EX_M_2015_1000 mt_10_3_1
0 EX_M 2015 1000 mt 10_3_2 0_EX_M_2015_1000 mt_10_3_2
0 EX_M 2015 1000 mt 10_3_3 0_EX_M_2015_1000 mt_10_3_3
0 EX_M 2015 1000 mt 10_3_4 0_EX_M_2015_1000 mt_10_3_4
0 EX_M 2015 1000 mt 10_4 0_EX_M_2015_1000 mt_10_4
0 EX_M 2015 1000 NAC 1 0_EX_M_2015_1000 NAC_1
0 EX_M 2015 1000 NAC 1_1 0_EX_M_2015_1000 NAC_1_1
0 EX_M 2015 1000 NAC 1_2 0_EX_M_2015_1000 NAC_1_2
0 EX_M 2015 1000 NAC 1_2_C 0_EX_M_2015_1000 NAC_1_2_C
0 EX_M 2015 1000 NAC 1_2_NC 0_EX_M_2015_1000 NAC_1_2_NC
0 EX_M 2015 1000 NAC 1_2_NC_T 0_EX_M_2015_1000 NAC_1_2_NC_T
0 EX_M 2015 1000 NAC 2 0_EX_M_2015_1000 NAC_2
0 EX_M 2015 1000 NAC 3 0_EX_M_2015_1000 NAC_3
0 EX_M 2015 1000 NAC 3_1 0_EX_M_2015_1000 NAC_3_1
0 EX_M 2015 1000 NAC 3_2 0_EX_M_2015_1000 NAC_3_2
0 EX_M 2015 1000 NAC 4 0_EX_M_2015_1000 NAC_4
0 EX_M 2015 1000 NAC 4_1 0_EX_M_2015_1000 NAC_4_1
0 EX_M 2015 1000 NAC 4_2 0_EX_M_2015_1000 NAC_4_2
0 EX_M 2015 1000 NAC 5 0_EX_M_2015_1000 NAC_5
0 EX_M 2015 1000 NAC 5_C 0_EX_M_2015_1000 NAC_5_C
0 EX_M 2015 1000 NAC 5_NC 0_EX_M_2015_1000 NAC_5_NC
0 EX_M 2015 1000 NAC 5_NC_T 0_EX_M_2015_1000 NAC_5_NC_T
0 EX_M 2015 1000 NAC 6 0_EX_M_2015_1000 NAC_6
0 EX_M 2015 1000 NAC 6_1 0_EX_M_2015_1000 NAC_6_1
0 EX_M 2015 1000 NAC 6_1_C 0_EX_M_2015_1000 NAC_6_1_C
0 EX_M 2015 1000 NAC 6_1_NC 0_EX_M_2015_1000 NAC_6_1_NC
0 EX_M 2015 1000 NAC 6_1_NC_T 0_EX_M_2015_1000 NAC_6_1_NC_T
0 EX_M 2015 1000 NAC 6_2 0_EX_M_2015_1000 NAC_6_2
0 EX_M 2015 1000 NAC 6_2_C 0_EX_M_2015_1000 NAC_6_2_C
0 EX_M 2015 1000 NAC 6_2_NC 0_EX_M_2015_1000 NAC_6_2_NC
0 EX_M 2015 1000 NAC 6_2_NC_T 0_EX_M_2015_1000 NAC_6_2_NC_T
0 EX_M 2015 1000 NAC 6_3 0_EX_M_2015_1000 NAC_6_3
0 EX_M 2015 1000 NAC 6_3_1 0_EX_M_2015_1000 NAC_6_3_1
0 EX_M 2015 1000 NAC 6_4 0_EX_M_2015_1000 NAC_6_4
0 EX_M 2015 1000 NAC 6_4_1 0_EX_M_2015_1000 NAC_6_4_1
0 EX_M 2015 1000 NAC 6_4_2 0_EX_M_2015_1000 NAC_6_4_2
0 EX_M 2015 1000 NAC 6_4_3 0_EX_M_2015_1000 NAC_6_4_3
0 EX_M 2015 1000 NAC 7 0_EX_M_2015_1000 NAC_7
0 EX_M 2015 1000 NAC 7_1 0_EX_M_2015_1000 NAC_7_1
0 EX_M 2015 1000 NAC 7_2 0_EX_M_2015_1000 NAC_7_2
0 EX_M 2015 1000 NAC 7_3 0_EX_M_2015_1000 NAC_7_3
0 EX_M 2015 1000 NAC 7_3_1 0_EX_M_2015_1000 NAC_7_3_1
0 EX_M 2015 1000 NAC 7_3_2 0_EX_M_2015_1000 NAC_7_3_2
0 EX_M 2015 1000 NAC 7_3_3 0_EX_M_2015_1000 NAC_7_3_3
0 EX_M 2015 1000 NAC 7_3_4 0_EX_M_2015_1000 NAC_7_3_4
0 EX_M 2015 1000 NAC 7_4 0_EX_M_2015_1000 NAC_7_4
0 EX_M 2015 1000 NAC 8 0_EX_M_2015_1000 NAC_8
0 EX_M 2015 1000 NAC 8_1 0_EX_M_2015_1000 NAC_8_1
0 EX_M 2015 1000 NAC 8_2 0_EX_M_2015_1000 NAC_8_2
0 EX_M 2015 1000 NAC 9 0_EX_M_2015_1000 NAC_9
0 EX_M 2015 1000 NAC 10 0_EX_M_2015_1000 NAC_10
0 EX_M 2015 1000 NAC 10_1 0_EX_M_2015_1000 NAC_10_1
0 EX_M 2015 1000 NAC 10_1_1 0_EX_M_2015_1000 NAC_10_1_1
0 EX_M 2015 1000 NAC 10_1_2 0_EX_M_2015_1000 NAC_10_1_2
0 EX_M 2015 1000 NAC 10_1_3 0_EX_M_2015_1000 NAC_10_1_3
0 EX_M 2015 1000 NAC 10_1_4 0_EX_M_2015_1000 NAC_10_1_4
0 EX_M 2015 1000 NAC 10_2 0_EX_M_2015_1000 NAC_10_2
0 EX_M 2015 1000 NAC 10_3 0_EX_M_2015_1000 NAC_10_3
0 EX_M 2015 1000 NAC 10_3_1 0_EX_M_2015_1000 NAC_10_3_1
0 EX_M 2015 1000 NAC 10_3_2 0_EX_M_2015_1000 NAC_10_3_2
0 EX_M 2015 1000 NAC 10_3_3 0_EX_M_2015_1000 NAC_10_3_3
0 EX_M 2015 1000 NAC 10_3_4 0_EX_M_2015_1000 NAC_10_3_4
0 EX_M 2015 1000 NAC 10_4 0_EX_M_2015_1000 NAC_10_4
0 EX_X 2015 1000 m3 1 0_EX_X_2015_1000 m3_1
0 EX_X 2015 1000 m3 1_1 0_EX_X_2015_1000 m3_1_1
0 EX_X 2015 1000 m3 1_2 0_EX_X_2015_1000 m3_1_2
0 EX_X 2015 1000 m3 1_2_C 0_EX_X_2015_1000 m3_1_2_C
0 EX_X 2015 1000 m3 1_2_NC 0_EX_X_2015_1000 m3_1_2_NC
0 EX_X 2015 1000 m3 1_2_NC_T 0_EX_X_2015_1000 m3_1_2_NC_T
0 EX_X 2015 1000 mt 2 0_EX_X_2015_1000 mt_2
0 EX_X 2015 1000 m3 3 0_EX_X_2015_1000 m3_3
0 EX_X 2015 1000 m3 3_1 0_EX_X_2015_1000 m3_3_1
0 EX_X 2015 1000 m3 3_2 0_EX_X_2015_1000 m3_3_2
0 EX_X 2015 1000 mt 4 0_EX_X_2015_1000 mt_4
0 EX_X 2015 1000 mt 4_1 0_EX_X_2015_1000 mt_4_1
0 EX_X 2015 1000 mt 4_2 0_EX_X_2015_1000 mt_4_2
0 EX_X 2015 1000 m3 5 0_EX_X_2015_1000 m3_5
0 EX_X 2015 1000 m3 5_C 0_EX_X_2015_1000 m3_5_C
0 EX_X 2015 1000 m3 5_NC 0_EX_X_2015_1000 m3_5_NC
0 EX_X 2015 1000 m3 5_NC_T 0_EX_X_2015_1000 m3_5_NC_T
0 EX_X 2015 1000 m3 6 0_EX_X_2015_1000 m3_6
0 EX_X 2015 1000 m3 6_1 0_EX_X_2015_1000 m3_6_1
0 EX_X 2015 1000 m3 6_1_C 0_EX_X_2015_1000 m3_6_1_C
0 EX_X 2015 1000 m3 6_1_NC 0_EX_X_2015_1000 m3_6_1_NC
0 EX_X 2015 1000 m3 6_1_NC_T 0_EX_X_2015_1000 m3_6_1_NC_T
0 EX_X 2015 1000 m3 6_2 0_EX_X_2015_1000 m3_6_2
0 EX_X 2015 1000 m3 6_2_C 0_EX_X_2015_1000 m3_6_2_C
0 EX_X 2015 1000 m3 6_2_NC 0_EX_X_2015_1000 m3_6_2_NC
0 EX_X 2015 1000 m3 6_2_NC_T 0_EX_X_2015_1000 m3_6_2_NC_T
0 EX_X 2015 1000 m3 6_3 0_EX_X_2015_1000 m3_6_3
0 EX_X 2015 1000 m3 6_3_1 0_EX_X_2015_1000 m3_6_3_1
0 EX_X 2015 1000 m3 6_4 0_EX_X_2015_1000 m3_6_4
0 EX_X 2015 1000 m3 6_4_1 0_EX_X_2015_1000 m3_6_4_1
0 EX_X 2015 1000 m3 6_4_2 0_EX_X_2015_1000 m3_6_4_2
0 EX_X 2015 1000 m3 6_4_3 0_EX_X_2015_1000 m3_6_4_3
0 EX_X 2015 1000 mt 7 0_EX_X_2015_1000 mt_7
0 EX_X 2015 1000 mt 7_1 0_EX_X_2015_1000 mt_7_1
0 EX_X 2015 1000 mt 7_2 0_EX_X_2015_1000 mt_7_2
0 EX_X 2015 1000 mt 7_3 0_EX_X_2015_1000 mt_7_3
0 EX_X 2015 1000 mt 7_3_1 0_EX_X_2015_1000 mt_7_3_1
0 EX_X 2015 1000 mt 7_3_2 0_EX_X_2015_1000 mt_7_3_2
0 EX_X 2015 1000 mt 7_3_3 0_EX_X_2015_1000 mt_7_3_3
0 EX_X 2015 1000 mt 7_3_4 0_EX_X_2015_1000 mt_7_3_4
0 EX_X 2015 1000 mt 7_4 0_EX_X_2015_1000 mt_7_4
0 EX_X 2015 1000 mt 8 0_EX_X_2015_1000 mt_8
0 EX_X 2015 1000 mt 8_1 0_EX_X_2015_1000 mt_8_1
0 EX_X 2015 1000 mt 8_2 0_EX_X_2015_1000 mt_8_2
0 EX_X 2015 1000 mt 9 0_EX_X_2015_1000 mt_9
0 EX_X 2015 1000 mt 10 0_EX_X_2015_1000 mt_10
0 EX_X 2015 1000 mt 10_1 0_EX_X_2015_1000 mt_10_1
0 EX_X 2015 1000 mt 10_1_1 0_EX_X_2015_1000 mt_10_1_1
0 EX_X 2015 1000 mt 10_1_2 0_EX_X_2015_1000 mt_10_1_2
0 EX_X 2015 1000 mt 10_1_3 0_EX_X_2015_1000 mt_10_1_3
0 EX_X 2015 1000 mt 10_1_4 0_EX_X_2015_1000 mt_10_1_4
0 EX_X 2015 1000 mt 10_2 0_EX_X_2015_1000 mt_10_2
0 EX_X 2015 1000 mt 10_3 0_EX_X_2015_1000 mt_10_3
0 EX_X 2015 1000 mt 10_3_1 0_EX_X_2015_1000 mt_10_3_1
0 EX_X 2015 1000 mt 10_3_2 0_EX_X_2015_1000 mt_10_3_2
0 EX_X 2015 1000 mt 10_3_3 0_EX_X_2015_1000 mt_10_3_3
0 EX_X 2015 1000 mt 10_3_4 0_EX_X_2015_1000 mt_10_3_4
0 EX_X 2015 1000 mt 10_4 0_EX_X_2015_1000 mt_10_4
0 EX_X 2015 1000 NAC 1 0_EX_X_2015_1000 NAC_1
0 EX_X 2015 1000 NAC 1_1 0_EX_X_2015_1000 NAC_1_1
0 EX_X 2015 1000 NAC 1_2 0_EX_X_2015_1000 NAC_1_2
0 EX_X 2015 1000 NAC 1_2_C 0_EX_X_2015_1000 NAC_1_2_C
0 EX_X 2015 1000 NAC 1_2_NC 0_EX_X_2015_1000 NAC_1_2_NC
0 EX_X 2015 1000 NAC 1_2_NC_T 0_EX_X_2015_1000 NAC_1_2_NC_T
0 EX_X 2015 1000 NAC 2 0_EX_X_2015_1000 NAC_2
0 EX_X 2015 1000 NAC 3 0_EX_X_2015_1000 NAC_3
0 EX_X 2015 1000 NAC 3_1 0_EX_X_2015_1000 NAC_3_1
0 EX_X 2015 1000 NAC 3_2 0_EX_X_2015_1000 NAC_3_2
0 EX_X 2015 1000 NAC 4 0_EX_X_2015_1000 NAC_4
0 EX_X 2015 1000 NAC 4_1 0_EX_X_2015_1000 NAC_4_1
0 EX_X 2015 1000 NAC 4_2 0_EX_X_2015_1000 NAC_4_2
0 EX_X 2015 1000 NAC 5 0_EX_X_2015_1000 NAC_5
0 EX_X 2015 1000 NAC 5_C 0_EX_X_2015_1000 NAC_5_C
0 EX_X 2015 1000 NAC 5_NC 0_EX_X_2015_1000 NAC_5_NC
0 EX_X 2015 1000 NAC 5_NC_T 0_EX_X_2015_1000 NAC_5_NC_T
0 EX_X 2015 1000 NAC 6 0_EX_X_2015_1000 NAC_6
0 EX_X 2015 1000 NAC 6_1 0_EX_X_2015_1000 NAC_6_1
0 EX_X 2015 1000 NAC 6_1_C 0_EX_X_2015_1000 NAC_6_1_C
0 EX_X 2015 1000 NAC 6_1_NC 0_EX_X_2015_1000 NAC_6_1_NC
0 EX_X 2015 1000 NAC 6_1_NC_T 0_EX_X_2015_1000 NAC_6_1_NC_T
0 EX_X 2015 1000 NAC 6_2 0_EX_X_2015_1000 NAC_6_2
0 EX_X 2015 1000 NAC 6_2_C 0_EX_X_2015_1000 NAC_6_2_C
0 EX_X 2015 1000 NAC 6_2_NC 0_EX_X_2015_1000 NAC_6_2_NC
0 EX_X 2015 1000 NAC 6_2_NC_T 0_EX_X_2015_1000 NAC_6_2_NC_T
0 EX_X 2015 1000 NAC 6_3 0_EX_X_2015_1000 NAC_6_3
0 EX_X 2015 1000 NAC 6_3_1 0_EX_X_2015_1000 NAC_6_3_1
0 EX_X 2015 1000 NAC 6_4 0_EX_X_2015_1000 NAC_6_4
0 EX_X 2015 1000 NAC 6_4_1 0_EX_X_2015_1000 NAC_6_4_1
0 EX_X 2015 1000 NAC 6_4_2 0_EX_X_2015_1000 NAC_6_4_2
0 EX_X 2015 1000 NAC 6_4_3 0_EX_X_2015_1000 NAC_6_4_3
0 EX_X 2015 1000 NAC 7 0_EX_X_2015_1000 NAC_7
0 EX_X 2015 1000 NAC 7_1 0_EX_X_2015_1000 NAC_7_1
0 EX_X 2015 1000 NAC 7_2 0_EX_X_2015_1000 NAC_7_2
0 EX_X 2015 1000 NAC 7_3 0_EX_X_2015_1000 NAC_7_3
0 EX_X 2015 1000 NAC 7_3_1 0_EX_X_2015_1000 NAC_7_3_1
0 EX_X 2015 1000 NAC 7_3_2 0_EX_X_2015_1000 NAC_7_3_2
0 EX_X 2015 1000 NAC 7_3_3 0_EX_X_2015_1000 NAC_7_3_3
0 EX_X 2015 1000 NAC 7_3_4 0_EX_X_2015_1000 NAC_7_3_4
0 EX_X 2015 1000 NAC 7_4 0_EX_X_2015_1000 NAC_7_4
0 EX_X 2015 1000 NAC 8 0_EX_X_2015_1000 NAC_8
0 EX_X 2015 1000 NAC 8_1 0_EX_X_2015_1000 NAC_8_1
0 EX_X 2015 1000 NAC 8_2 0_EX_X_2015_1000 NAC_8_2
0 EX_X 2015 1000 NAC 9 0_EX_X_2015_1000 NAC_9
0 EX_X 2015 1000 NAC 10 0_EX_X_2015_1000 NAC_10
0 EX_X 2015 1000 NAC 10_1 0_EX_X_2015_1000 NAC_10_1
0 EX_X 2015 1000 NAC 10_1_1 0_EX_X_2015_1000 NAC_10_1_1
0 EX_X 2015 1000 NAC 10_1_2 0_EX_X_2015_1000 NAC_10_1_2
0 EX_X 2015 1000 NAC 10_1_3 0_EX_X_2015_1000 NAC_10_1_3
0 EX_X 2015 1000 NAC 10_1_4 0_EX_X_2015_1000 NAC_10_1_4
0 EX_X 2015 1000 NAC 10_2 0_EX_X_2015_1000 NAC_10_2
0 EX_X 2015 1000 NAC 10_3 0_EX_X_2015_1000 NAC_10_3
0 EX_X 2015 1000 NAC 10_3_1 0_EX_X_2015_1000 NAC_10_3_1
0 EX_X 2015 1000 NAC 10_3_2 0_EX_X_2015_1000 NAC_10_3_2
0 EX_X 2015 1000 NAC 10_3_3 0_EX_X_2015_1000 NAC_10_3_3
0 EX_X 2015 1000 NAC 10_3_4 0_EX_X_2015_1000 NAC_10_3_4
0 EX_X 2015 1000 NAC 10_4 0_EX_X_2015_1000 NAC_10_4
0 P 2015 1000 m3 EU2_1 0_P_2015_1000 m3_EU2_1
0 P 2015 1000 m3 EU2_1_C 0_P_2015_1000 m3_EU2_1_C
0 P 2015 1000 m3 EU2_1_NC 0_P_2015_1000 m3_EU2_1_NC
0 P 2015 1000 m3 EU2_1_1 0_P_2015_1000 m3_EU2_1_1
0 P 2015 1000 m3 EU2_1_1_C 0_P_2015_1000 m3_EU2_1_1_C
0 P 2015 1000 m3 EU2_1_1_NC 0_P_2015_1000 m3_EU2_1_1_NC
0 P 2015 1000 m3 EU2_1_2 0_P_2015_1000 m3_EU2_1_2
0 P 2015 1000 m3 EU2_1_2_C 0_P_2015_1000 m3_EU2_1_2_C
0 P 2015 1000 m3 EU2_1_2_NC 0_P_2015_1000 m3_EU2_1_2_NC
0 P 2015 1000 m3 EU2_1_3 0_P_2015_1000 m3_EU2_1_3
0 P 2015 1000 m3 EU2_1_3_C 0_P_2015_1000 m3_EU2_1_3_C
0 P 2015 1000 m3 EU2_1_3_NC 0_P_2015_1000 m3_EU2_1_3_NC
0 P.OB 2015 1000 m3 1 0_P.OB_2015_1000 m3_1
0 P.OB 2015 1000 m3 1_C 0_P.OB_2015_1000 m3_1_C
0 P.OB 2015 1000 m3 1_NC 0_P.OB_2015_1000 m3_1_NC
0 P.OB 2015 1000 m3 1_1 0_P.OB_2015_1000 m3_1_1
0 P.OB 2015 1000 m3 1_1_C 0_P.OB_2015_1000 m3_1_1_C
0 P.OB 2015 1000 m3 1_1_NC 0_P.OB_2015_1000 m3_1_1_NC
0 P.OB 2015 1000 m3 1_2 0_P.OB_2015_1000 m3_1_2
0 P.OB 2015 1000 m3 1_2_C 0_P.OB_2015_1000 m3_1_2_C
0 P.OB 2015 1000 m3 1_2_NC 0_P.OB_2015_1000 m3_1_2_NC
0 P.OB 2015 1000 m3 1_2_1 0_P.OB_2015_1000 m3_1_2_1
0 P.OB 2015 1000 m3 1_2_1_C 0_P.OB_2015_1000 m3_1_2_1_C
0 P.OB 2015 1000 m3 1_2_1_NC 0_P.OB_2015_1000 m3_1_2_1_NC
0 P.OB 2015 1000 m3 1_2_2 0_P.OB_2015_1000 m3_1_2_2
0 P.OB 2015 1000 m3 1_2_2_C 0_P.OB_2015_1000 m3_1_2_2_C
0 P.OB 2015 1000 m3 1_2_2_NC 0_P.OB_2015_1000 m3_1_2_2_NC
0 P.OB 2015 1000 m3 1_2_3 0_P.OB_2015_1000 m3_1_2_3
0 P.OB 2015 1000 m3 1_2_3_C 0_P.OB_2015_1000 m3_1_2_3_C
0 P.OB 2015 1000 m3 1_2_3_NC 0_P.OB_2015_1000 m3_1_2_3_NC
0 P 2014 1000 m3 1 0_P_2014_1000 m3_1
0 P 2014 1000 m3 1_C 0_P_2014_1000 m3_1_C
0 P 2014 1000 m3 1_NC 0_P_2014_1000 m3_1_NC
0 P 2014 1000 m3 1_1 0_P_2014_1000 m3_1_1
0 P 2014 1000 m3 1_1_C 0_P_2014_1000 m3_1_1_C
0 P 2014 1000 m3 1_1_NC 0_P_2014_1000 m3_1_1_NC
0 P 2014 1000 m3 1_2 0_P_2014_1000 m3_1_2
0 P 2014 1000 m3 1_2_C 0_P_2014_1000 m3_1_2_C
0 P 2014 1000 m3 1_2_NC 0_P_2014_1000 m3_1_2_NC
0 P 2014 1000 m3 1_2_1 0_P_2014_1000 m3_1_2_1
0 P 2014 1000 m3 1_2_1_C 0_P_2014_1000 m3_1_2_1_C
0 P 2014 1000 m3 1_2_1_NC 0_P_2014_1000 m3_1_2_1_NC
0 P 2014 1000 m3 1_2_2 0_P_2014_1000 m3_1_2_2
0 P 2014 1000 m3 1_2_2_C 0_P_2014_1000 m3_1_2_2_C
0 P 2014 1000 m3 1_2_2_NC 0_P_2014_1000 m3_1_2_2_NC
0 P 2014 1000 m3 1_2_3 0_P_2014_1000 m3_1_2_3
0 P 2014 1000 m3 1_2_3_C 0_P_2014_1000 m3_1_2_3_C
0 P 2014 1000 m3 1_2_3_NC 0_P_2014_1000 m3_1_2_3_NC
0 P 2014 1000 mt 2 0_P_2014_1000 mt_2
0 P 2014 1000 m3 3 0_P_2014_1000 m3_3
0 P 2014 1000 m3 3_1 0_P_2014_1000 m3_3_1
0 P 2014 1000 m3 3_2 0_P_2014_1000 m3_3_2
0 P 2014 1000 mt 4 0_P_2014_1000 mt_4
0 P 2014 1000 mt 4_1 0_P_2014_1000 mt_4_1
0 P 2014 1000 mt 4_2 0_P_2014_1000 mt_4_2
0 P 2014 1000 m3 5 0_P_2014_1000 m3_5
0 P 2014 1000 m3 5_C 0_P_2014_1000 m3_5_C
0 P 2014 1000 m3 5_NC 0_P_2014_1000 m3_5_NC
0 P 2014 1000 m3 5_NC_T 0_P_2014_1000 m3_5_NC_T
0 P 2014 1000 m3 6 0_P_2014_1000 m3_6
0 P 2014 1000 m3 6_1 0_P_2014_1000 m3_6_1
0 P 2014 1000 m3 6_1_C 0_P_2014_1000 m3_6_1_C
0 P 2014 1000 m3 6_1_NC 0_P_2014_1000 m3_6_1_NC
0 P 2014 1000 m3 6_1_NC_T 0_P_2014_1000 m3_6_1_NC_T
0 P 2014 1000 m3 6_2 0_P_2014_1000 m3_6_2
0 P 2014 1000 m3 6_2_C 0_P_2014_1000 m3_6_2_C
0 P 2014 1000 m3 6_2_NC 0_P_2014_1000 m3_6_2_NC
0 P 2014 1000 m3 6_2_NC_T 0_P_2014_1000 m3_6_2_NC_T
0 P 2014 1000 m3 6_3 0_P_2014_1000 m3_6_3
0 P 2014 1000 m3 6_3_1 0_P_2014_1000 m3_6_3_1
0 P 2014 1000 m3 6_4 0_P_2014_1000 m3_6_4
0 P 2014 1000 m3 6_4_1 0_P_2014_1000 m3_6_4_1
0 P 2014 1000 m3 6_4_2 0_P_2014_1000 m3_6_4_2
0 P 2014 1000 m3 6_4_3 0_P_2014_1000 m3_6_4_3
0 P 2014 1000 mt 7 0_P_2014_1000 mt_7
0 P 2014 1000 mt 7_1 0_P_2014_1000 mt_7_1
0 P 2014 1000 mt 7_2 0_P_2014_1000 mt_7_2
0 P 2014 1000 mt 7_3 0_P_2014_1000 mt_7_3
0 P 2014 1000 mt 7_3_1 0_P_2014_1000 mt_7_3_1
0 P 2014 1000 mt 7_3_2 0_P_2014_1000 mt_7_3_2
0 P 2014 1000 mt 7_3_3 0_P_2014_1000 mt_7_3_3
0 P 2014 1000 mt 7_3_4 0_P_2014_1000 mt_7_3_4
0 P 2014 1000 mt 7_4 0_P_2014_1000 mt_7_4
0 P 2014 1000 mt 8 0_P_2014_1000 mt_8
0 P 2014 1000 mt 8_1 0_P_2014_1000 mt_8_1
0 P 2014 1000 mt 8_2 0_P_2014_1000 mt_8_2
0 P 2014 1000 mt 9 0_P_2014_1000 mt_9
0 P 2014 1000 mt 10 0_P_2014_1000 mt_10
0 P 2014 1000 mt 10_1 0_P_2014_1000 mt_10_1
0 P 2014 1000 mt 10_1_1 0_P_2014_1000 mt_10_1_1
0 P 2014 1000 mt 10_1_2 0_P_2014_1000 mt_10_1_2
0 P 2014 1000 mt 10_1_3 0_P_2014_1000 mt_10_1_3
0 P 2014 1000 mt 10_1_4 0_P_2014_1000 mt_10_1_4
0 P 2014 1000 mt 10_2 0_P_2014_1000 mt_10_2
0 P 2014 1000 mt 10_3 0_P_2014_1000 mt_10_3
0 P 2014 1000 mt 10_3_1 0_P_2014_1000 mt_10_3_1
0 P 2014 1000 mt 10_3_2 0_P_2014_1000 mt_10_3_2
0 P 2014 1000 mt 10_3_3 0_P_2014_1000 mt_10_3_3
0 P 2014 1000 mt 10_3_4 0_P_2014_1000 mt_10_3_4
0 P 2014 1000 mt 10_4 0_P_2014_1000 mt_10_4
0 M 2014 1000 m3 1 0_M_2014_1000 m3_1
0 M 2014 1000 m3 1_1 0_M_2014_1000 m3_1_1
0 M 2014 1000 m3 1_2 0_M_2014_1000 m3_1_2
0 M 2014 1000 m3 1_2_C 0_M_2014_1000 m3_1_2_C
0 M 2014 1000 m3 1_2_NC 0_M_2014_1000 m3_1_2_NC
0 M 2014 1000 m3 1_2_NC_T 0_M_2014_1000 m3_1_2_NC_T
0 M 2014 1000 mt 2 0_M_2014_1000 mt_2
0 M 2014 1000 m3 3 0_M_2014_1000 m3_3
0 M 2014 1000 m3 3_1 0_M_2014_1000 m3_3_1
0 M 2014 1000 m3 3_2 0_M_2014_1000 m3_3_2
0 M 2014 1000 mt 4 0_M_2014_1000 mt_4
0 M 2014 1000 mt 4_1 0_M_2014_1000 mt_4_1
0 M 2014 1000 mt 4_2 0_M_2014_1000 mt_4_2
0 M 2014 1000 m3 5 0_M_2014_1000 m3_5
0 M 2014 1000 m3 5_C 0_M_2014_1000 m3_5_C
0 M 2014 1000 m3 5_NC 0_M_2014_1000 m3_5_NC
0 M 2014 1000 m3 5_NC_T 0_M_2014_1000 m3_5_NC_T
0 M 2014 1000 m3 6 0_M_2014_1000 m3_6
0 M 2014 1000 m3 6_1 0_M_2014_1000 m3_6_1
0 M 2014 1000 m3 6_1_C 0_M_2014_1000 m3_6_1_C
0 M 2014 1000 m3 6_1_NC 0_M_2014_1000 m3_6_1_NC
0 M 2014 1000 m3 6_1_NC_T 0_M_2014_1000 m3_6_1_NC_T
0 M 2014 1000 m3 6_2 0_M_2014_1000 m3_6_2
0 M 2014 1000 m3 6_2_C 0_M_2014_1000 m3_6_2_C
0 M 2014 1000 m3 6_2_NC 0_M_2014_1000 m3_6_2_NC
0 M 2014 1000 m3 6_2_NC_T 0_M_2014_1000 m3_6_2_NC_T
0 M 2014 1000 m3 6_3 0_M_2014_1000 m3_6_3
0 M 2014 1000 m3 6_3_1 0_M_2014_1000 m3_6_3_1
0 M 2014 1000 m3 6_4 0_M_2014_1000 m3_6_4
0 M 2014 1000 m3 6_4_1 0_M_2014_1000 m3_6_4_1
0 M 2014 1000 m3 6_4_2 0_M_2014_1000 m3_6_4_2
0 M 2014 1000 m3 6_4_3 0_M_2014_1000 m3_6_4_3
0 M 2014 1000 mt 7 0_M_2014_1000 mt_7
0 M 2014 1000 mt 7_1 0_M_2014_1000 mt_7_1
0 M 2014 1000 mt 7_2 0_M_2014_1000 mt_7_2
0 M 2014 1000 mt 7_3 0_M_2014_1000 mt_7_3
0 M 2014 1000 mt 7_3_1 0_M_2014_1000 mt_7_3_1
0 M 2014 1000 mt 7_3_2 0_M_2014_1000 mt_7_3_2
0 M 2014 1000 mt 7_3_3 0_M_2014_1000 mt_7_3_3
0 M 2014 1000 mt 7_3_4 0_M_2014_1000 mt_7_3_4
0 M 2014 1000 mt 7_4 0_M_2014_1000 mt_7_4
0 M 2014 1000 mt 8 0_M_2014_1000 mt_8
0 M 2014 1000 mt 8_1 0_M_2014_1000 mt_8_1
0 M 2014 1000 mt 8_2 0_M_2014_1000 mt_8_2
0 M 2014 1000 mt 9 0_M_2014_1000 mt_9
0 M 2014 1000 mt 10 0_M_2014_1000 mt_10
0 M 2014 1000 mt 10_1 0_M_2014_1000 mt_10_1
0 M 2014 1000 mt 10_1_1 0_M_2014_1000 mt_10_1_1
0 M 2014 1000 mt 10_1_2 0_M_2014_1000 mt_10_1_2
0 M 2014 1000 mt 10_1_3 0_M_2014_1000 mt_10_1_3
0 M 2014 1000 mt 10_1_4 0_M_2014_1000 mt_10_1_4
0 M 2014 1000 mt 10_2 0_M_2014_1000 mt_10_2
0 M 2014 1000 mt 10_3 0_M_2014_1000 mt_10_3
0 M 2014 1000 mt 10_3_1 0_M_2014_1000 mt_10_3_1
0 M 2014 1000 mt 10_3_2 0_M_2014_1000 mt_10_3_2
0 M 2014 1000 mt 10_3_3 0_M_2014_1000 mt_10_3_3
0 M 2014 1000 mt 10_3_4 0_M_2014_1000 mt_10_3_4
0 M 2014 1000 mt 10_4 0_M_2014_1000 mt_10_4
0 M 2014 1000 NAC 1 0_M_2014_1000 NAC_1
0 M 2014 1000 NAC 1_1 0_M_2014_1000 NAC_1_1
0 M 2014 1000 NAC 1_2 0_M_2014_1000 NAC_1_2
0 M 2014 1000 NAC 1_2_C 0_M_2014_1000 NAC_1_2_C
0 M 2014 1000 NAC 1_2_NC 0_M_2014_1000 NAC_1_2_NC
0 M 2014 1000 NAC 1_2_NC_T 0_M_2014_1000 NAC_1_2_NC_T
0 M 2014 1000 NAC 2 0_M_2014_1000 NAC_2
0 M 2014 1000 NAC 3 0_M_2014_1000 NAC_3
0 M 2014 1000 NAC 3_1 0_M_2014_1000 NAC_3_1
0 M 2014 1000 NAC 3_2 0_M_2014_1000 NAC_3_2
0 M 2014 1000 NAC 4 0_M_2014_1000 NAC_4
0 M 2014 1000 NAC 4_1 0_M_2014_1000 NAC_4_1
0 M 2014 1000 NAC 4_2 0_M_2014_1000 NAC_4_2
0 M 2014 1000 NAC 5 0_M_2014_1000 NAC_5
0 M 2014 1000 NAC 5_C 0_M_2014_1000 NAC_5_C
0 M 2014 1000 NAC 5_NC 0_M_2014_1000 NAC_5_NC
0 M 2014 1000 NAC 5_NC_T 0_M_2014_1000 NAC_5_NC_T
0 M 2014 1000 NAC 6 0_M_2014_1000 NAC_6
0 M 2014 1000 NAC 6_1 0_M_2014_1000 NAC_6_1
0 M 2014 1000 NAC 6_1_C 0_M_2014_1000 NAC_6_1_C
0 M 2014 1000 NAC 6_1_NC 0_M_2014_1000 NAC_6_1_NC
0 M 2014 1000 NAC 6_1_NC_T 0_M_2014_1000 NAC_6_1_NC_T
0 M 2014 1000 NAC 6_2 0_M_2014_1000 NAC_6_2
0 M 2014 1000 NAC 6_2_C 0_M_2014_1000 NAC_6_2_C
0 M 2014 1000 NAC 6_2_NC 0_M_2014_1000 NAC_6_2_NC
0 M 2014 1000 NAC 6_2_NC_T 0_M_2014_1000 NAC_6_2_NC_T
0 M 2014 1000 NAC 6_3 0_M_2014_1000 NAC_6_3
0 M 2014 1000 NAC 6_3_1 0_M_2014_1000 NAC_6_3_1
0 M 2014 1000 NAC 6_4 0_M_2014_1000 NAC_6_4
0 M 2014 1000 NAC 6_4_1 0_M_2014_1000 NAC_6_4_1
0 M 2014 1000 NAC 6_4_2 0_M_2014_1000 NAC_6_4_2
0 M 2014 1000 NAC 6_4_3 0_M_2014_1000 NAC_6_4_3
0 M 2014 1000 NAC 7 0_M_2014_1000 NAC_7
0 M 2014 1000 NAC 7_1 0_M_2014_1000 NAC_7_1
0 M 2014 1000 NAC 7_2 0_M_2014_1000 NAC_7_2
0 M 2014 1000 NAC 7_3 0_M_2014_1000 NAC_7_3
0 M 2014 1000 NAC 7_3_1 0_M_2014_1000 NAC_7_3_1
0 M 2014 1000 NAC 7_3_2 0_M_2014_1000 NAC_7_3_2
0 M 2014 1000 NAC 7_3_3 0_M_2014_1000 NAC_7_3_3
0 M 2014 1000 NAC 7_3_4 0_M_2014_1000 NAC_7_3_4
0 M 2014 1000 NAC 7_4 0_M_2014_1000 NAC_7_4
0 M 2014 1000 NAC 8 0_M_2014_1000 NAC_8
0 M 2014 1000 NAC 8_1 0_M_2014_1000 NAC_8_1
0 M 2014 1000 NAC 8_2 0_M_2014_1000 NAC_8_2
0 M 2014 1000 NAC 9 0_M_2014_1000 NAC_9
0 M 2014 1000 NAC 10 0_M_2014_1000 NAC_10
0 M 2014 1000 NAC 10_1 0_M_2014_1000 NAC_10_1
0 M 2014 1000 NAC 10_1_1 0_M_2014_1000 NAC_10_1_1
0 M 2014 1000 NAC 10_1_2 0_M_2014_1000 NAC_10_1_2
0 M 2014 1000 NAC 10_1_3 0_M_2014_1000 NAC_10_1_3
0 M 2014 1000 NAC 10_1_4 0_M_2014_1000 NAC_10_1_4
0 M 2014 1000 NAC 10_2 0_M_2014_1000 NAC_10_2
0 M 2014 1000 NAC 10_3 0_M_2014_1000 NAC_10_3
0 M 2014 1000 NAC 10_3_1 0_M_2014_1000 NAC_10_3_1
0 M 2014 1000 NAC 10_3_2 0_M_2014_1000 NAC_10_3_2
0 M 2014 1000 NAC 10_3_3 0_M_2014_1000 NAC_10_3_3
0 M 2014 1000 NAC 10_3_4 0_M_2014_1000 NAC_10_3_4
0 M 2014 1000 NAC 10_4 0_M_2014_1000 NAC_10_4
0 X 2014 1000 m3 1 0_X_2014_1000 m3_1
0 X 2014 1000 m3 1_1 0_X_2014_1000 m3_1_1
0 X 2014 1000 m3 1_2 0_X_2014_1000 m3_1_2
0 X 2014 1000 m3 1_2_C 0_X_2014_1000 m3_1_2_C
0 X 2014 1000 m3 1_2_NC 0_X_2014_1000 m3_1_2_NC
0 X 2014 1000 m3 1_2_NC_T 0_X_2014_1000 m3_1_2_NC_T
0 X 2014 1000 mt 2 0_X_2014_1000 mt_2
0 X 2014 1000 m3 3 0_X_2014_1000 m3_3
0 X 2014 1000 m3 3_1 0_X_2014_1000 m3_3_1
0 X 2014 1000 m3 3_2 0_X_2014_1000 m3_3_2
0 X 2014 1000 mt 4 0_X_2014_1000 mt_4
0 X 2014 1000 mt 4_1 0_X_2014_1000 mt_4_1
0 X 2014 1000 mt 4_2 0_X_2014_1000 mt_4_2
0 X 2014 1000 m3 5 0_X_2014_1000 m3_5
0 X 2014 1000 m3 5_C 0_X_2014_1000 m3_5_C
0 X 2014 1000 m3 5_NC 0_X_2014_1000 m3_5_NC
0 X 2014 1000 m3 5_NC_T 0_X_2014_1000 m3_5_NC_T
0 X 2014 1000 m3 6 0_X_2014_1000 m3_6
0 X 2014 1000 m3 6_1 0_X_2014_1000 m3_6_1
0 X 2014 1000 m3 6_1_C 0_X_2014_1000 m3_6_1_C
0 X 2014 1000 m3 6_1_NC 0_X_2014_1000 m3_6_1_NC
0 X 2014 1000 m3 6_1_NC_T 0_X_2014_1000 m3_6_1_NC_T
0 X 2014 1000 m3 6_2 0_X_2014_1000 m3_6_2
0 X 2014 1000 m3 6_2_C 0_X_2014_1000 m3_6_2_C
0 X 2014 1000 m3 6_2_NC 0_X_2014_1000 m3_6_2_NC
0 X 2014 1000 m3 6_2_NC_T 0_X_2014_1000 m3_6_2_NC_T
0 X 2014 1000 m3 6_3 0_X_2014_1000 m3_6_3
0 X 2014 1000 m3 6_3_1 0_X_2014_1000 m3_6_3_1
0 X 2014 1000 m3 6_4 0_X_2014_1000 m3_6_4
0 X 2014 1000 m3 6_4_1 0_X_2014_1000 m3_6_4_1
0 X 2014 1000 m3 6_4_2 0_X_2014_1000 m3_6_4_2
0 X 2014 1000 m3 6_4_3 0_X_2014_1000 m3_6_4_3
0 X 2014 1000 mt 7 0_X_2014_1000 mt_7
0 X 2014 1000 mt 7_1 0_X_2014_1000 mt_7_1
0 X 2014 1000 mt 7_2 0_X_2014_1000 mt_7_2
0 X 2014 1000 mt 7_3 0_X_2014_1000 mt_7_3
0 X 2014 1000 mt 7_3_1 0_X_2014_1000 mt_7_3_1
0 X 2014 1000 mt 7_3_2 0_X_2014_1000 mt_7_3_2
0 X 2014 1000 mt 7_3_3 0_X_2014_1000 mt_7_3_3
0 X 2014 1000 mt 7_3_4 0_X_2014_1000 mt_7_3_4
0 X 2014 1000 mt 7_4 0_X_2014_1000 mt_7_4
0 X 2014 1000 mt 8 0_X_2014_1000 mt_8
0 X 2014 1000 mt 8_1 0_X_2014_1000 mt_8_1
0 X 2014 1000 mt 8_2 0_X_2014_1000 mt_8_2
0 X 2014 1000 mt 9 0_X_2014_1000 mt_9
0 X 2014 1000 mt 10 0_X_2014_1000 mt_10
0 X 2014 1000 mt 10_1 0_X_2014_1000 mt_10_1
0 X 2014 1000 mt 10_1_1 0_X_2014_1000 mt_10_1_1
0 X 2014 1000 mt 10_1_2 0_X_2014_1000 mt_10_1_2
0 X 2014 1000 mt 10_1_3 0_X_2014_1000 mt_10_1_3
0 X 2014 1000 mt 10_1_4 0_X_2014_1000 mt_10_1_4
0 X 2014 1000 mt 10_2 0_X_2014_1000 mt_10_2
0 X 2014 1000 mt 10_3 0_X_2014_1000 mt_10_3
0 X 2014 1000 mt 10_3_1 0_X_2014_1000 mt_10_3_1
0 X 2014 1000 mt 10_3_2 0_X_2014_1000 mt_10_3_2
0 X 2014 1000 mt 10_3_3 0_X_2014_1000 mt_10_3_3
0 X 2014 1000 mt 10_3_4 0_X_2014_1000 mt_10_3_4
0 X 2014 1000 mt 10_4 0_X_2014_1000 mt_10_4
0 X 2014 1000 NAC 1 0_X_2014_1000 NAC_1
0 X 2014 1000 NAC 1_1 0_X_2014_1000 NAC_1_1
0 X 2014 1000 NAC 1_2 0_X_2014_1000 NAC_1_2
0 X 2014 1000 NAC 1_2_C 0_X_2014_1000 NAC_1_2_C
0 X 2014 1000 NAC 1_2_NC 0_X_2014_1000 NAC_1_2_NC
0 X 2014 1000 NAC 1_2_NC_T 0_X_2014_1000 NAC_1_2_NC_T
0 X 2014 1000 NAC 2 0_X_2014_1000 NAC_2
0 X 2014 1000 NAC 3 0_X_2014_1000 NAC_3
0 X 2014 1000 NAC 3_1 0_X_2014_1000 NAC_3_1
0 X 2014 1000 NAC 3_2 0_X_2014_1000 NAC_3_2
0 X 2014 1000 NAC 4 0_X_2014_1000 NAC_4
0 X 2014 1000 NAC 4_1 0_X_2014_1000 NAC_4_1
0 X 2014 1000 NAC 4_2 0_X_2014_1000 NAC_4_2
0 X 2014 1000 NAC 5 0_X_2014_1000 NAC_5
0 X 2014 1000 NAC 5_C 0_X_2014_1000 NAC_5_C
0 X 2014 1000 NAC 5_NC 0_X_2014_1000 NAC_5_NC
0 X 2014 1000 NAC 5_NC_T 0_X_2014_1000 NAC_5_NC_T
0 X 2014 1000 NAC 6 0_X_2014_1000 NAC_6
0 X 2014 1000 NAC 6_1 0_X_2014_1000 NAC_6_1
0 X 2014 1000 NAC 6_1_C 0_X_2014_1000 NAC_6_1_C
0 X 2014 1000 NAC 6_1_NC 0_X_2014_1000 NAC_6_1_NC
0 X 2014 1000 NAC 6_1_NC_T 0_X_2014_1000 NAC_6_1_NC_T
0 X 2014 1000 NAC 6_2 0_X_2014_1000 NAC_6_2
0 X 2014 1000 NAC 6_2_C 0_X_2014_1000 NAC_6_2_C
0 X 2014 1000 NAC 6_2_NC 0_X_2014_1000 NAC_6_2_NC
0 X 2014 1000 NAC 6_2_NC_T 0_X_2014_1000 NAC_6_2_NC_T
0 X 2014 1000 NAC 6_3 0_X_2014_1000 NAC_6_3
0 X 2014 1000 NAC 6_3_1 0_X_2014_1000 NAC_6_3_1
0 X 2014 1000 NAC 6_4 0_X_2014_1000 NAC_6_4
0 X 2014 1000 NAC 6_4_1 0_X_2014_1000 NAC_6_4_1
0 X 2014 1000 NAC 6_4_2 0_X_2014_1000 NAC_6_4_2
0 X 2014 1000 NAC 6_4_3 0_X_2014_1000 NAC_6_4_3
0 X 2014 1000 NAC 7 0_X_2014_1000 NAC_7
0 X 2014 1000 NAC 7_1 0_X_2014_1000 NAC_7_1
0 X 2014 1000 NAC 7_2 0_X_2014_1000 NAC_7_2
0 X 2014 1000 NAC 7_3 0_X_2014_1000 NAC_7_3
0 X 2014 1000 NAC 7_3_1 0_X_2014_1000 NAC_7_3_1
0 X 2014 1000 NAC 7_3_2 0_X_2014_1000 NAC_7_3_2
0 X 2014 1000 NAC 7_3_3 0_X_2014_1000 NAC_7_3_3
0 X 2014 1000 NAC 7_3_4 0_X_2014_1000 NAC_7_3_4
0 X 2014 1000 NAC 7_4 0_X_2014_1000 NAC_7_4
0 X 2014 1000 NAC 8 0_X_2014_1000 NAC_8
0 X 2014 1000 NAC 8_1 0_X_2014_1000 NAC_8_1
0 X 2014 1000 NAC 8_2 0_X_2014_1000 NAC_8_2
0 X 2014 1000 NAC 9 0_X_2014_1000 NAC_9
0 X 2014 1000 NAC 10 0_X_2014_1000 NAC_10
0 X 2014 1000 NAC 10_1 0_X_2014_1000 NAC_10_1
0 X 2014 1000 NAC 10_1_1 0_X_2014_1000 NAC_10_1_1
0 X 2014 1000 NAC 10_1_2 0_X_2014_1000 NAC_10_1_2
0 X 2014 1000 NAC 10_1_3 0_X_2014_1000 NAC_10_1_3
0 X 2014 1000 NAC 10_1_4 0_X_2014_1000 NAC_10_1_4
0 X 2014 1000 NAC 10_2 0_X_2014_1000 NAC_10_2
0 X 2014 1000 NAC 10_3 0_X_2014_1000 NAC_10_3
0 X 2014 1000 NAC 10_3_1 0_X_2014_1000 NAC_10_3_1
0 X 2014 1000 NAC 10_3_2 0_X_2014_1000 NAC_10_3_2
0 X 2014 1000 NAC 10_3_3 0_X_2014_1000 NAC_10_3_3
0 X 2014 1000 NAC 10_3_4 0_X_2014_1000 NAC_10_3_4
0 X 2014 1000 NAC 10_4 0_X_2014_1000 NAC_10_4
0 M 2014 1000 NAC 11_1 0_M_2014_1000 NAC_11_1
0 M 2014 1000 NAC 11_1_C 0_M_2014_1000 NAC_11_1_C
0 M 2014 1000 NAC 11_1_NC 0_M_2014_1000 NAC_11_1_NC
0 M 2014 1000 NAC 11_1_NC_T 0_M_2014_1000 NAC_11_1_NC_T
0 M 2014 1000 NAC 11_2 0_M_2014_1000 NAC_11_2
0 M 2014 1000 NAC 11_3 0_M_2014_1000 NAC_11_3
0 M 2014 1000 NAC 11_4 0_M_2014_1000 NAC_11_4
0 M 2014 1000 NAC 11_5 0_M_2014_1000 NAC_11_5
0 M 2014 1000 NAC 11_6 0_M_2014_1000 NAC_11_6
0 M 2014 1000 NAC 11_7 0_M_2014_1000 NAC_11_7
0 M 2014 1000 NAC 11_7_1 0_M_2014_1000 NAC_11_7_1
0 M 2014 1000 NAC 12_1 0_M_2014_1000 NAC_12_1
0 M 2014 1000 NAC 12_2 0_M_2014_1000 NAC_12_2
0 M 2014 1000 NAC 12_3 0_M_2014_1000 NAC_12_3
0 M 2014 1000 NAC 12_4 0_M_2014_1000 NAC_12_4
0 M 2014 1000 NAC 12_5 0_M_2014_1000 NAC_12_5
0 M 2014 1000 NAC 12_6 0_M_2014_1000 NAC_12_6
0 M 2014 1000 NAC 12_6_1 0_M_2014_1000 NAC_12_6_1
0 M 2014 1000 NAC 12_6_2 0_M_2014_1000 NAC_12_6_2
0 M 2014 1000 NAC 12_6_3 0_M_2014_1000 NAC_12_6_3
0 M 2014 1000 NAC 12_7 0_M_2014_1000 NAC_12_7
0 M 2014 1000 NAC 12_7_1 0_M_2014_1000 NAC_12_7_1
0 M 2014 1000 NAC 12_7_2 0_M_2014_1000 NAC_12_7_2
0 M 2014 1000 NAC 12_7_3 0_M_2014_1000 NAC_12_7_3
0 X 2014 1000 NAC 11_1 0_X_2014_1000 NAC_11_1
0 X 2014 1000 NAC 11_1_C 0_X_2014_1000 NAC_11_1_C
0 X 2014 1000 NAC 11_1_NC 0_X_2014_1000 NAC_11_1_NC
0 X 2014 1000 NAC 11_1_NC_T 0_X_2014_1000 NAC_11_1_NC_T
0 X 2014 1000 NAC 11_2 0_X_2014_1000 NAC_11_2
0 X 2014 1000 NAC 11_3 0_X_2014_1000 NAC_11_3
0 X 2014 1000 NAC 11_4 0_X_2014_1000 NAC_11_4
0 X 2014 1000 NAC 11_5 0_X_2014_1000 NAC_11_5
0 X 2014 1000 NAC 11_6 0_X_2014_1000 NAC_11_6
0 X 2014 1000 NAC 11_7 0_X_2014_1000 NAC_11_7
0 X 2014 1000 NAC 11_7_1 0_X_2014_1000 NAC_11_7_1
0 X 2014 1000 NAC 12_1 0_X_2014_1000 NAC_12_1
0 X 2014 1000 NAC 12_2 0_X_2014_1000 NAC_12_2
0 X 2014 1000 NAC 12_3 0_X_2014_1000 NAC_12_3
0 X 2014 1000 NAC 12_4 0_X_2014_1000 NAC_12_4
0 X 2014 1000 NAC 12_5 0_X_2014_1000 NAC_12_5
0 X 2014 1000 NAC 12_6 0_X_2014_1000 NAC_12_6
0 X 2014 1000 NAC 12_6_1 0_X_2014_1000 NAC_12_6_1
0 X 2014 1000 NAC 12_6_2 0_X_2014_1000 NAC_12_6_2
0 X 2014 1000 NAC 12_6_3 0_X_2014_1000 NAC_12_6_3
0 X 2014 1000 NAC 12_7 0_X_2014_1000 NAC_12_7
0 X 2014 1000 NAC 12_7_1 0_X_2014_1000 NAC_12_7_1
0 X 2014 1000 NAC 12_7_2 0_X_2014_1000 NAC_12_7_2
0 X 2014 1000 NAC 12_7_3 0_X_2014_1000 NAC_12_7_3
0 M 2014 1000 m3 ST_1_2_C 0_M_2014_1000 m3_ST_1_2_C
0 M 2014 1000 m3 ST_1_2_C_1 0_M_2014_1000 m3_ST_1_2_C_1
0 M 2014 1000 m3 ST_1_2_C_1_1 0_M_2014_1000 m3_ST_1_2_C_1_1
0 M 2014 1000 m3 ST_1_2_C_2_1 0_M_2014_1000 m3_ST_1_2_C_2_1
0 M 2014 1000 m3 ST_1_2_C_2 0_M_2014_1000 m3_ST_1_2_C_2
0 M 2014 1000 m3 ST_1_2_C_1_2 0_M_2014_1000 m3_ST_1_2_C_1_2
0 M 2014 1000 m3 ST_1_2_C_2_2 0_M_2014_1000 m3_ST_1_2_C_2_2
0 M 2014 1000 m3 ST_1_2_C_3 0_M_2014_1000 m3_ST_1_2_C_3
0 M 2014 1000 m3 ST_1_2_C_1_3 0_M_2014_1000 m3_ST_1_2_C_1_3
0 M 2014 1000 m3 ST_1_2_C_2_3 0_M_2014_1000 m3_ST_1_2_C_2_3
0 M 2014 1000 m3 ST_1_2_NC 0_M_2014_1000 m3_ST_1_2_NC
0 M 2014 1000 m3 ST_1_2_NC_1 0_M_2014_1000 m3_ST_1_2_NC_1
0 M 2014 1000 m3 ST_1_2_NC_1_1 0_M_2014_1000 m3_ST_1_2_NC_1_1
0 M 2014 1000 m3 ST_1_2_NC_2_1 0_M_2014_1000 m3_ST_1_2_NC_2_1
0 M 2014 1000 m3 ST_1_2_NC_2 0_M_2014_1000 m3_ST_1_2_NC_2
0 M 2014 1000 m3 ST_1_2_NC_1_2 0_M_2014_1000 m3_ST_1_2_NC_1_2
0 M 2014 1000 m3 ST_1_2_NC_2_2 0_M_2014_1000 m3_ST_1_2_NC_2_2
0 M 2014 1000 m3 ST_1_2_NC_3 0_M_2014_1000 m3_ST_1_2_NC_3
0 M 2014 1000 m3 ST_1_2_NC_1_3 0_M_2014_1000 m3_ST_1_2_NC_1_3
0 M 2014 1000 m3 ST_1_2_NC_2_3 0_M_2014_1000 m3_ST_1_2_NC_2_3
0 M 2014 1000 m3 ST_1_2_NC_4 0_M_2014_1000 m3_ST_1_2_NC_4
0 M 2014 1000 m3 ST_1_2_NC_5 0_M_2014_1000 m3_ST_1_2_NC_5
0 M 2014 1000 m3 ST_5_C 0_M_2014_1000 m3_ST_5_C
0 M 2014 1000 m3 ST_5_C_1 0_M_2014_1000 m3_ST_5_C_1
0 M 2014 1000 m3 ST_5_C_2 0_M_2014_1000 m3_ST_5_C_2
0 M 2014 1000 m3 ST_5_NC 0_M_2014_1000 m3_ST_5_NC
0 M 2014 1000 m3 ST_5_NC_1 0_M_2014_1000 m3_ST_5_NC_1
0 M 2014 1000 m3 ST_5_NC_2 0_M_2014_1000 m3_ST_5_NC_2
0 M 2014 1000 m3 ST_5_NC_3 0_M_2014_1000 m3_ST_5_NC_3
0 M 2014 1000 m3 ST_5_NC_4 0_M_2014_1000 m3_ST_5_NC_4
0 M 2014 1000 m3 ST_5_NC_5 0_M_2014_1000 m3_ST_5_NC_5
0 M 2014 1000 m3 ST_5_NC_6 0_M_2014_1000 m3_ST_5_NC_6
0 M 2014 1000 m3 ST_5_NC_7 0_M_2014_1000 m3_ST_5_NC_7
0 M 2014 1000 NAC ST_1_2_C 0_M_2014_1000 NAC_ST_1_2_C
0 M 2014 1000 NAC ST_1_2_C_1 0_M_2014_1000 NAC_ST_1_2_C_1
0 M 2014 1000 NAC ST_1_2_C_1_1 0_M_2014_1000 NAC_ST_1_2_C_1_1
0 M 2014 1000 NAC ST_1_2_C_2_1 0_M_2014_1000 NAC_ST_1_2_C_2_1
0 M 2014 1000 NAC ST_1_2_C_2 0_M_2014_1000 NAC_ST_1_2_C_2
0 M 2014 1000 NAC ST_1_2_C_1_2 0_M_2014_1000 NAC_ST_1_2_C_1_2
0 M 2014 1000 NAC ST_1_2_C_2_2 0_M_2014_1000 NAC_ST_1_2_C_2_2
0 M 2014 1000 NAC ST_1_2_C_3 0_M_2014_1000 NAC_ST_1_2_C_3
0 M 2014 1000 NAC ST_1_2_C_1_3 0_M_2014_1000 NAC_ST_1_2_C_1_3
0 M 2014 1000 NAC ST_1_2_C_2_3 0_M_2014_1000 NAC_ST_1_2_C_2_3
0 M 2014 1000 NAC ST_1_2_NC 0_M_2014_1000 NAC_ST_1_2_NC
0 M 2014 1000 NAC ST_1_2_NC_1 0_M_2014_1000 NAC_ST_1_2_NC_1
0 M 2014 1000 NAC ST_1_2_NC_1_1 0_M_2014_1000 NAC_ST_1_2_NC_1_1
0 M 2014 1000 NAC ST_1_2_NC_2_1 0_M_2014_1000 NAC_ST_1_2_NC_2_1
0 M 2014 1000 NAC ST_1_2_NC_2 0_M_2014_1000 NAC_ST_1_2_NC_2
0 M 2014 1000 NAC ST_1_2_NC_1_2 0_M_2014_1000 NAC_ST_1_2_NC_1_2
0 M 2014 1000 NAC ST_1_2_NC_2_2 0_M_2014_1000 NAC_ST_1_2_NC_2_2
0 M 2014 1000 NAC ST_1_2_NC_3 0_M_2014_1000 NAC_ST_1_2_NC_3
0 M 2014 1000 NAC ST_1_2_NC_1_3 0_M_2014_1000 NAC_ST_1_2_NC_1_3
0 M 2014 1000 NAC ST_1_2_NC_2_3 0_M_2014_1000 NAC_ST_1_2_NC_2_3
0 M 2014 1000 NAC ST_1_2_NC_4 0_M_2014_1000 NAC_ST_1_2_NC_4
0 M 2014 1000 NAC ST_1_2_NC_5 0_M_2014_1000 NAC_ST_1_2_NC_5
0 M 2014 1000 NAC ST_5_C 0_M_2014_1000 NAC_ST_5_C
0 M 2014 1000 NAC ST_5_C_1 0_M_2014_1000 NAC_ST_5_C_1
0 M 2014 1000 NAC ST_5_C_2 0_M_2014_1000 NAC_ST_5_C_2
0 M 2014 1000 NAC ST_5_NC 0_M_2014_1000 NAC_ST_5_NC
0 M 2014 1000 NAC ST_5_NC_1 0_M_2014_1000 NAC_ST_5_NC_1
0 M 2014 1000 NAC ST_5_NC_2 0_M_2014_1000 NAC_ST_5_NC_2
0 M 2014 1000 NAC ST_5_NC_3 0_M_2014_1000 NAC_ST_5_NC_3
0 M 2014 1000 NAC ST_5_NC_4 0_M_2014_1000 NAC_ST_5_NC_4
0 M 2014 1000 NAC ST_5_NC_5 0_M_2014_1000 NAC_ST_5_NC_5
0 M 2014 1000 NAC ST_5_NC_6 0_M_2014_1000 NAC_ST_5_NC_6
0 M 2014 1000 NAC ST_5_NC_7 0_M_2014_1000 NAC_ST_5_NC_7
0 X 2014 1000 m3 ST_1_2_C 0_X_2014_1000 m3_ST_1_2_C
0 X 2014 1000 m3 ST_1_2_C_1 0_X_2014_1000 m3_ST_1_2_C_1
0 X 2014 1000 m3 ST_1_2_C_1_1 0_X_2014_1000 m3_ST_1_2_C_1_1
0 X 2014 1000 m3 ST_1_2_C_2_1 0_X_2014_1000 m3_ST_1_2_C_2_1
0 X 2014 1000 m3 ST_1_2_C_2 0_X_2014_1000 m3_ST_1_2_C_2
0 X 2014 1000 m3 ST_1_2_C_1_2 0_X_2014_1000 m3_ST_1_2_C_1_2
0 X 2014 1000 m3 ST_1_2_C_2_2 0_X_2014_1000 m3_ST_1_2_C_2_2
0 X 2014 1000 m3 ST_1_2_C_3 0_X_2014_1000 m3_ST_1_2_C_3
0 X 2014 1000 m3 ST_1_2_C_1_3 0_X_2014_1000 m3_ST_1_2_C_1_3
0 X 2014 1000 m3 ST_1_2_C_2_3 0_X_2014_1000 m3_ST_1_2_C_2_3
0 X 2014 1000 m3 ST_1_2_NC 0_X_2014_1000 m3_ST_1_2_NC
0 X 2014 1000 m3 ST_1_2_NC_1 0_X_2014_1000 m3_ST_1_2_NC_1
0 X 2014 1000 m3 ST_1_2_NC_1_1 0_X_2014_1000 m3_ST_1_2_NC_1_1
0 X 2014 1000 m3 ST_1_2_NC_2_1 0_X_2014_1000 m3_ST_1_2_NC_2_1
0 X 2014 1000 m3 ST_1_2_NC_2 0_X_2014_1000 m3_ST_1_2_NC_2
0 X 2014 1000 m3 ST_1_2_NC_1_2 0_X_2014_1000 m3_ST_1_2_NC_1_2
0 X 2014 1000 m3 ST_1_2_NC_2_2 0_X_2014_1000 m3_ST_1_2_NC_2_2
0 X 2014 1000 m3 ST_1_2_NC_3 0_X_2014_1000 m3_ST_1_2_NC_3
0 X 2014 1000 m3 ST_1_2_NC_1_3 0_X_2014_1000 m3_ST_1_2_NC_1_3
0 X 2014 1000 m3 ST_1_2_NC_2_3 0_X_2014_1000 m3_ST_1_2_NC_2_3
0 X 2014 1000 m3 ST_1_2_NC_4 0_X_2014_1000 m3_ST_1_2_NC_4
0 X 2014 1000 m3 ST_1_2_NC_5 0_X_2014_1000 m3_ST_1_2_NC_5
0 X 2014 1000 m3 ST_5_C 0_X_2014_1000 m3_ST_5_C
0 X 2014 1000 m3 ST_5_C_1 0_X_2014_1000 m3_ST_5_C_1
0 X 2014 1000 m3 ST_5_C_2 0_X_2014_1000 m3_ST_5_C_2
0 X 2014 1000 m3 ST_5_NC 0_X_2014_1000 m3_ST_5_NC
0 X 2014 1000 m3 ST_5_NC_1 0_X_2014_1000 m3_ST_5_NC_1
0 X 2014 1000 m3 ST_5_NC_2 0_X_2014_1000 m3_ST_5_NC_2
0 X 2014 1000 m3 ST_5_NC_3 0_X_2014_1000 m3_ST_5_NC_3
0 X 2014 1000 m3 ST_5_NC_4 0_X_2014_1000 m3_ST_5_NC_4
0 X 2014 1000 m3 ST_5_NC_5 0_X_2014_1000 m3_ST_5_NC_5
0 X 2014 1000 m3 ST_5_NC_6 0_X_2014_1000 m3_ST_5_NC_6
0 X 2014 1000 m3 ST_5_NC_7 0_X_2014_1000 m3_ST_5_NC_7
0 X 2014 1000 NAC ST_1_2_C 0_X_2014_1000 NAC_ST_1_2_C
0 X 2014 1000 NAC ST_1_2_C_1 0_X_2014_1000 NAC_ST_1_2_C_1
0 X 2014 1000 NAC ST_1_2_C_1_1 0_X_2014_1000 NAC_ST_1_2_C_1_1
0 X 2014 1000 NAC ST_1_2_C_2_1 0_X_2014_1000 NAC_ST_1_2_C_2_1
0 X 2014 1000 NAC ST_1_2_C_2 0_X_2014_1000 NAC_ST_1_2_C_2
0 X 2014 1000 NAC ST_1_2_C_1_2 0_X_2014_1000 NAC_ST_1_2_C_1_2
0 X 2014 1000 NAC ST_1_2_C_2_2 0_X_2014_1000 NAC_ST_1_2_C_2_2
0 X 2014 1000 NAC ST_1_2_C_3 0_X_2014_1000 NAC_ST_1_2_C_3
0 X 2014 1000 NAC ST_1_2_C_1_3 0_X_2014_1000 NAC_ST_1_2_C_1_3
0 X 2014 1000 NAC ST_1_2_C_2_3 0_X_2014_1000 NAC_ST_1_2_C_2_3
0 X 2014 1000 NAC ST_1_2_NC 0_X_2014_1000 NAC_ST_1_2_NC
0 X 2014 1000 NAC ST_1_2_NC_1 0_X_2014_1000 NAC_ST_1_2_NC_1
0 X 2014 1000 NAC ST_1_2_NC_1_1 0_X_2014_1000 NAC_ST_1_2_NC_1_1
0 X 2014 1000 NAC ST_1_2_NC_2_1 0_X_2014_1000 NAC_ST_1_2_NC_2_1
0 X 2014 1000 NAC ST_1_2_NC_2 0_X_2014_1000 NAC_ST_1_2_NC_2
0 X 2014 1000 NAC ST_1_2_NC_1_2 0_X_2014_1000 NAC_ST_1_2_NC_1_2
0 X 2014 1000 NAC ST_1_2_NC_2_2 0_X_2014_1000 NAC_ST_1_2_NC_2_2
0 X 2014 1000 NAC ST_1_2_NC_3 0_X_2014_1000 NAC_ST_1_2_NC_3
0 X 2014 1000 NAC ST_1_2_NC_1_3 0_X_2014_1000 NAC_ST_1_2_NC_1_3
0 X 2014 1000 NAC ST_1_2_NC_2_3 0_X_2014_1000 NAC_ST_1_2_NC_2_3
0 X 2014 1000 NAC ST_1_2_NC_4 0_X_2014_1000 NAC_ST_1_2_NC_4
0 X 2014 1000 NAC ST_1_2_NC_5 0_X_2014_1000 NAC_ST_1_2_NC_5
0 X 2014 1000 NAC ST_5_C 0_X_2014_1000 NAC_ST_5_C
0 X 2014 1000 NAC ST_5_C_1 0_X_2014_1000 NAC_ST_5_C_1
0 X 2014 1000 NAC ST_5_C_2 0_X_2014_1000 NAC_ST_5_C_2
0 X 2014 1000 NAC ST_5_NC 0_X_2014_1000 NAC_ST_5_NC
0 X 2014 1000 NAC ST_5_NC_1 0_X_2014_1000 NAC_ST_5_NC_1
0 X 2014 1000 NAC ST_5_NC_2 0_X_2014_1000 NAC_ST_5_NC_2
0 X 2014 1000 NAC ST_5_NC_3 0_X_2014_1000 NAC_ST_5_NC_3
0 X 2014 1000 NAC ST_5_NC_4 0_X_2014_1000 NAC_ST_5_NC_4
0 X 2014 1000 NAC ST_5_NC_5 0_X_2014_1000 NAC_ST_5_NC_5
0 X 2014 1000 NAC ST_5_NC_6 0_X_2014_1000 NAC_ST_5_NC_6
0 X 2014 1000 NAC ST_5_NC_7 0_X_2014_1000 NAC_ST_5_NC_7
0 EX_M 2014 1000 m3 1 0_EX_M_2014_1000 m3_1
0 EX_M 2014 1000 m3 1_1 0_EX_M_2014_1000 m3_1_1
0 EX_M 2014 1000 m3 1_2 0_EX_M_2014_1000 m3_1_2
0 EX_M 2014 1000 m3 1_2_C 0_EX_M_2014_1000 m3_1_2_C
0 EX_M 2014 1000 m3 1_2_NC 0_EX_M_2014_1000 m3_1_2_NC
0 EX_M 2014 1000 m3 1_2_NC_T 0_EX_M_2014_1000 m3_1_2_NC_T
0 EX_M 2014 1000 mt 2 0_EX_M_2014_1000 mt_2
0 EX_M 2014 1000 m3 3 0_EX_M_2014_1000 m3_3
0 EX_M 2014 1000 m3 3_1 0_EX_M_2014_1000 m3_3_1
0 EX_M 2014 1000 m3 3_2 0_EX_M_2014_1000 m3_3_2
0 EX_M 2014 1000 mt 4 0_EX_M_2014_1000 mt_4
0 EX_M 2014 1000 mt 4_1 0_EX_M_2014_1000 mt_4_1
0 EX_M 2014 1000 mt 4_2 0_EX_M_2014_1000 mt_4_2
0 EX_M 2014 1000 m3 5 0_EX_M_2014_1000 m3_5
0 EX_M 2014 1000 m3 5_C 0_EX_M_2014_1000 m3_5_C
0 EX_M 2014 1000 m3 5_NC 0_EX_M_2014_1000 m3_5_NC
0 EX_M 2014 1000 m3 5_NC_T 0_EX_M_2014_1000 m3_5_NC_T
0 EX_M 2014 1000 m3 6 0_EX_M_2014_1000 m3_6
0 EX_M 2014 1000 m3 6_1 0_EX_M_2014_1000 m3_6_1
0 EX_M 2014 1000 m3 6_1_C 0_EX_M_2014_1000 m3_6_1_C
0 EX_M 2014 1000 m3 6_1_NC 0_EX_M_2014_1000 m3_6_1_NC
0 EX_M 2014 1000 m3 6_1_NC_T 0_EX_M_2014_1000 m3_6_1_NC_T
0 EX_M 2014 1000 m3 6_2 0_EX_M_2014_1000 m3_6_2
0 EX_M 2014 1000 m3 6_2_C 0_EX_M_2014_1000 m3_6_2_C
0 EX_M 2014 1000 m3 6_2_NC 0_EX_M_2014_1000 m3_6_2_NC
0 EX_M 2014 1000 m3 6_2_NC_T 0_EX_M_2014_1000 m3_6_2_NC_T
0 EX_M 2014 1000 m3 6_3 0_EX_M_2014_1000 m3_6_3
0 EX_M 2014 1000 m3 6_3_1 0_EX_M_2014_1000 m3_6_3_1
0 EX_M 2014 1000 m3 6_4 0_EX_M_2014_1000 m3_6_4
0 EX_M 2014 1000 m3 6_4_1 0_EX_M_2014_1000 m3_6_4_1
0 EX_M 2014 1000 m3 6_4_2 0_EX_M_2014_1000 m3_6_4_2
0 EX_M 2014 1000 m3 6_4_3 0_EX_M_2014_1000 m3_6_4_3
0 EX_M 2014 1000 mt 7 0_EX_M_2014_1000 mt_7
0 EX_M 2014 1000 mt 7_1 0_EX_M_2014_1000 mt_7_1
0 EX_M 2014 1000 mt 7_2 0_EX_M_2014_1000 mt_7_2
0 EX_M 2014 1000 mt 7_3 0_EX_M_2014_1000 mt_7_3
0 EX_M 2014 1000 mt 7_3_1 0_EX_M_2014_1000 mt_7_3_1
0 EX_M 2014 1000 mt 7_3_2 0_EX_M_2014_1000 mt_7_3_2
0 EX_M 2014 1000 mt 7_3_3 0_EX_M_2014_1000 mt_7_3_3
0 EX_M 2014 1000 mt 7_3_4 0_EX_M_2014_1000 mt_7_3_4
0 EX_M 2014 1000 mt 7_4 0_EX_M_2014_1000 mt_7_4
0 EX_M 2014 1000 mt 8 0_EX_M_2014_1000 mt_8
0 EX_M 2014 1000 mt 8_1 0_EX_M_2014_1000 mt_8_1
0 EX_M 2014 1000 mt 8_2 0_EX_M_2014_1000 mt_8_2
0 EX_M 2014 1000 mt 9 0_EX_M_2014_1000 mt_9
0 EX_M 2014 1000 mt 10 0_EX_M_2014_1000 mt_10
0 EX_M 2014 1000 mt 10_1 0_EX_M_2014_1000 mt_10_1
0 EX_M 2014 1000 mt 10_1_1 0_EX_M_2014_1000 mt_10_1_1
0 EX_M 2014 1000 mt 10_1_2 0_EX_M_2014_1000 mt_10_1_2
0 EX_M 2014 1000 mt 10_1_3 0_EX_M_2014_1000 mt_10_1_3
0 EX_M 2014 1000 mt 10_1_4 0_EX_M_2014_1000 mt_10_1_4
0 EX_M 2014 1000 mt 10_2 0_EX_M_2014_1000 mt_10_2
0 EX_M 2014 1000 mt 10_3 0_EX_M_2014_1000 mt_10_3
0 EX_M 2014 1000 mt 10_3_1 0_EX_M_2014_1000 mt_10_3_1
0 EX_M 2014 1000 mt 10_3_2 0_EX_M_2014_1000 mt_10_3_2
0 EX_M 2014 1000 mt 10_3_3 0_EX_M_2014_1000 mt_10_3_3
0 EX_M 2014 1000 mt 10_3_4 0_EX_M_2014_1000 mt_10_3_4
0 EX_M 2014 1000 mt 10_4 0_EX_M_2014_1000 mt_10_4
0 EX_M 2014 1000 NAC 1 0_EX_M_2014_1000 NAC_1
0 EX_M 2014 1000 NAC 1_1 0_EX_M_2014_1000 NAC_1_1
0 EX_M 2014 1000 NAC 1_2 0_EX_M_2014_1000 NAC_1_2
0 EX_M 2014 1000 NAC 1_2_C 0_EX_M_2014_1000 NAC_1_2_C
0 EX_M 2014 1000 NAC 1_2_NC 0_EX_M_2014_1000 NAC_1_2_NC
0 EX_M 2014 1000 NAC 1_2_NC_T 0_EX_M_2014_1000 NAC_1_2_NC_T
0 EX_M 2014 1000 NAC 2 0_EX_M_2014_1000 NAC_2
0 EX_M 2014 1000 NAC 3 0_EX_M_2014_1000 NAC_3
0 EX_M 2014 1000 NAC 3_1 0_EX_M_2014_1000 NAC_3_1
0 EX_M 2014 1000 NAC 3_2 0_EX_M_2014_1000 NAC_3_2
0 EX_M 2014 1000 NAC 4 0_EX_M_2014_1000 NAC_4
0 EX_M 2014 1000 NAC 4_1 0_EX_M_2014_1000 NAC_4_1
0 EX_M 2014 1000 NAC 4_2 0_EX_M_2014_1000 NAC_4_2
0 EX_M 2014 1000 NAC 5 0_EX_M_2014_1000 NAC_5
0 EX_M 2014 1000 NAC 5_C 0_EX_M_2014_1000 NAC_5_C
0 EX_M 2014 1000 NAC 5_NC 0_EX_M_2014_1000 NAC_5_NC
0 EX_M 2014 1000 NAC 5_NC_T 0_EX_M_2014_1000 NAC_5_NC_T
0 EX_M 2014 1000 NAC 6 0_EX_M_2014_1000 NAC_6
0 EX_M 2014 1000 NAC 6_1 0_EX_M_2014_1000 NAC_6_1
0 EX_M 2014 1000 NAC 6_1_C 0_EX_M_2014_1000 NAC_6_1_C
0 EX_M 2014 1000 NAC 6_1_NC 0_EX_M_2014_1000 NAC_6_1_NC
0 EX_M 2014 1000 NAC 6_1_NC_T 0_EX_M_2014_1000 NAC_6_1_NC_T
0 EX_M 2014 1000 NAC 6_2 0_EX_M_2014_1000 NAC_6_2
0 EX_M 2014 1000 NAC 6_2_C 0_EX_M_2014_1000 NAC_6_2_C
0 EX_M 2014 1000 NAC 6_2_NC 0_EX_M_2014_1000 NAC_6_2_NC
0 EX_M 2014 1000 NAC 6_2_NC_T 0_EX_M_2014_1000 NAC_6_2_NC_T
0 EX_M 2014 1000 NAC 6_3 0_EX_M_2014_1000 NAC_6_3
0 EX_M 2014 1000 NAC 6_3_1 0_EX_M_2014_1000 NAC_6_3_1
0 EX_M 2014 1000 NAC 6_4 0_EX_M_2014_1000 NAC_6_4
0 EX_M 2014 1000 NAC 6_4_1 0_EX_M_2014_1000 NAC_6_4_1
0 EX_M 2014 1000 NAC 6_4_2 0_EX_M_2014_1000 NAC_6_4_2
0 EX_M 2014 1000 NAC 6_4_3 0_EX_M_2014_1000 NAC_6_4_3
0 EX_M 2014 1000 NAC 7 0_EX_M_2014_1000 NAC_7
0 EX_M 2014 1000 NAC 7_1 0_EX_M_2014_1000 NAC_7_1
0 EX_M 2014 1000 NAC 7_2 0_EX_M_2014_1000 NAC_7_2
0 EX_M 2014 1000 NAC 7_3 0_EX_M_2014_1000 NAC_7_3
0 EX_M 2014 1000 NAC 7_3_1 0_EX_M_2014_1000 NAC_7_3_1
0 EX_M 2014 1000 NAC 7_3_2 0_EX_M_2014_1000 NAC_7_3_2
0 EX_M 2014 1000 NAC 7_3_3 0_EX_M_2014_1000 NAC_7_3_3
0 EX_M 2014 1000 NAC 7_3_4 0_EX_M_2014_1000 NAC_7_3_4
0 EX_M 2014 1000 NAC 7_4 0_EX_M_2014_1000 NAC_7_4
0 EX_M 2014 1000 NAC 8 0_EX_M_2014_1000 NAC_8
0 EX_M 2014 1000 NAC 8_1 0_EX_M_2014_1000 NAC_8_1
0 EX_M 2014 1000 NAC 8_2 0_EX_M_2014_1000 NAC_8_2
0 EX_M 2014 1000 NAC 9 0_EX_M_2014_1000 NAC_9
0 EX_M 2014 1000 NAC 10 0_EX_M_2014_1000 NAC_10
0 EX_M 2014 1000 NAC 10_1 0_EX_M_2014_1000 NAC_10_1
0 EX_M 2014 1000 NAC 10_1_1 0_EX_M_2014_1000 NAC_10_1_1
0 EX_M 2014 1000 NAC 10_1_2 0_EX_M_2014_1000 NAC_10_1_2
0 EX_M 2014 1000 NAC 10_1_3 0_EX_M_2014_1000 NAC_10_1_3
0 EX_M 2014 1000 NAC 10_1_4 0_EX_M_2014_1000 NAC_10_1_4
0 EX_M 2014 1000 NAC 10_2 0_EX_M_2014_1000 NAC_10_2
0 EX_M 2014 1000 NAC 10_3 0_EX_M_2014_1000 NAC_10_3
0 EX_M 2014 1000 NAC 10_3_1 0_EX_M_2014_1000 NAC_10_3_1
0 EX_M 2014 1000 NAC 10_3_2 0_EX_M_2014_1000 NAC_10_3_2
0 EX_M 2014 1000 NAC 10_3_3 0_EX_M_2014_1000 NAC_10_3_3
0 EX_M 2014 1000 NAC 10_3_4 0_EX_M_2014_1000 NAC_10_3_4
0 EX_M 2014 1000 NAC 10_4 0_EX_M_2014_1000 NAC_10_4
0 EX_X 2014 1000 m3 1 0_EX_X_2014_1000 m3_1
0 EX_X 2014 1000 m3 1_1 0_EX_X_2014_1000 m3_1_1
0 EX_X 2014 1000 m3 1_2 0_EX_X_2014_1000 m3_1_2
0 EX_X 2014 1000 m3 1_2_C 0_EX_X_2014_1000 m3_1_2_C
0 EX_X 2014 1000 m3 1_2_NC 0_EX_X_2014_1000 m3_1_2_NC
0 EX_X 2014 1000 m3 1_2_NC_T 0_EX_X_2014_1000 m3_1_2_NC_T
0 EX_X 2014 1000 mt 2 0_EX_X_2014_1000 mt_2
0 EX_X 2014 1000 m3 3 0_EX_X_2014_1000 m3_3
0 EX_X 2014 1000 m3 3_1 0_EX_X_2014_1000 m3_3_1
0 EX_X 2014 1000 m3 3_2 0_EX_X_2014_1000 m3_3_2
0 EX_X 2014 1000 mt 4 0_EX_X_2014_1000 mt_4
0 EX_X 2014 1000 mt 4_1 0_EX_X_2014_1000 mt_4_1
0 EX_X 2014 1000 mt 4_2 0_EX_X_2014_1000 mt_4_2
0 EX_X 2014 1000 m3 5 0_EX_X_2014_1000 m3_5
0 EX_X 2014 1000 m3 5_C 0_EX_X_2014_1000 m3_5_C
0 EX_X 2014 1000 m3 5_NC 0_EX_X_2014_1000 m3_5_NC
0 EX_X 2014 1000 m3 5_NC_T 0_EX_X_2014_1000 m3_5_NC_T
0 EX_X 2014 1000 m3 6 0_EX_X_2014_1000 m3_6
0 EX_X 2014 1000 m3 6_1 0_EX_X_2014_1000 m3_6_1
0 EX_X 2014 1000 m3 6_1_C 0_EX_X_2014_1000 m3_6_1_C
0 EX_X 2014 1000 m3 6_1_NC 0_EX_X_2014_1000 m3_6_1_NC
0 EX_X 2014 1000 m3 6_1_NC_T 0_EX_X_2014_1000 m3_6_1_NC_T
0 EX_X 2014 1000 m3 6_2 0_EX_X_2014_1000 m3_6_2
0 EX_X 2014 1000 m3 6_2_C 0_EX_X_2014_1000 m3_6_2_C
0 EX_X 2014 1000 m3 6_2_NC 0_EX_X_2014_1000 m3_6_2_NC
0 EX_X 2014 1000 m3 6_2_NC_T 0_EX_X_2014_1000 m3_6_2_NC_T
0 EX_X 2014 1000 m3 6_3 0_EX_X_2014_1000 m3_6_3
0 EX_X 2014 1000 m3 6_3_1 0_EX_X_2014_1000 m3_6_3_1
0 EX_X 2014 1000 m3 6_4 0_EX_X_2014_1000 m3_6_4
0 EX_X 2014 1000 m3 6_4_1 0_EX_X_2014_1000 m3_6_4_1
0 EX_X 2014 1000 m3 6_4_2 0_EX_X_2014_1000 m3_6_4_2
0 EX_X 2014 1000 m3 6_4_3 0_EX_X_2014_1000 m3_6_4_3
0 EX_X 2014 1000 mt 7 0_EX_X_2014_1000 mt_7
0 EX_X 2014 1000 mt 7_1 0_EX_X_2014_1000 mt_7_1
0 EX_X 2014 1000 mt 7_2 0_EX_X_2014_1000 mt_7_2
0 EX_X 2014 1000 mt 7_3 0_EX_X_2014_1000 mt_7_3
0 EX_X 2014 1000 mt 7_3_1 0_EX_X_2014_1000 mt_7_3_1
0 EX_X 2014 1000 mt 7_3_2 0_EX_X_2014_1000 mt_7_3_2
0 EX_X 2014 1000 mt 7_3_3 0_EX_X_2014_1000 mt_7_3_3
0 EX_X 2014 1000 mt 7_3_4 0_EX_X_2014_1000 mt_7_3_4
0 EX_X 2014 1000 mt 7_4 0_EX_X_2014_1000 mt_7_4
0 EX_X 2014 1000 mt 8 0_EX_X_2014_1000 mt_8
0 EX_X 2014 1000 mt 8_1 0_EX_X_2014_1000 mt_8_1
0 EX_X 2014 1000 mt 8_2 0_EX_X_2014_1000 mt_8_2
0 EX_X 2014 1000 mt 9 0_EX_X_2014_1000 mt_9
0 EX_X 2014 1000 mt 10 0_EX_X_2014_1000 mt_10
0 EX_X 2014 1000 mt 10_1 0_EX_X_2014_1000 mt_10_1
0 EX_X 2014 1000 mt 10_1_1 0_EX_X_2014_1000 mt_10_1_1
0 EX_X 2014 1000 mt 10_1_2 0_EX_X_2014_1000 mt_10_1_2
0 EX_X 2014 1000 mt 10_1_3 0_EX_X_2014_1000 mt_10_1_3
0 EX_X 2014 1000 mt 10_1_4 0_EX_X_2014_1000 mt_10_1_4
0 EX_X 2014 1000 mt 10_2 0_EX_X_2014_1000 mt_10_2
0 EX_X 2014 1000 mt 10_3 0_EX_X_2014_1000 mt_10_3
0 EX_X 2014 1000 mt 10_3_1 0_EX_X_2014_1000 mt_10_3_1
0 EX_X 2014 1000 mt 10_3_2 0_EX_X_2014_1000 mt_10_3_2
0 EX_X 2014 1000 mt 10_3_3 0_EX_X_2014_1000 mt_10_3_3
0 EX_X 2014 1000 mt 10_3_4 0_EX_X_2014_1000 mt_10_3_4
0 EX_X 2014 1000 mt 10_4 0_EX_X_2014_1000 mt_10_4
0 EX_X 2014 1000 NAC 1 0_EX_X_2014_1000 NAC_1
0 EX_X 2014 1000 NAC 1_1 0_EX_X_2014_1000 NAC_1_1
0 EX_X 2014 1000 NAC 1_2 0_EX_X_2014_1000 NAC_1_2
0 EX_X 2014 1000 NAC 1_2_C 0_EX_X_2014_1000 NAC_1_2_C
0 EX_X 2014 1000 NAC 1_2_NC 0_EX_X_2014_1000 NAC_1_2_NC
0 EX_X 2014 1000 NAC 1_2_NC_T 0_EX_X_2014_1000 NAC_1_2_NC_T
0 EX_X 2014 1000 NAC 2 0_EX_X_2014_1000 NAC_2
0 EX_X 2014 1000 NAC 3 0_EX_X_2014_1000 NAC_3
0 EX_X 2014 1000 NAC 3_1 0_EX_X_2014_1000 NAC_3_1
0 EX_X 2014 1000 NAC 3_2 0_EX_X_2014_1000 NAC_3_2
0 EX_X 2014 1000 NAC 4 0_EX_X_2014_1000 NAC_4
0 EX_X 2014 1000 NAC 4_1 0_EX_X_2014_1000 NAC_4_1
0 EX_X 2014 1000 NAC 4_2 0_EX_X_2014_1000 NAC_4_2
0 EX_X 2014 1000 NAC 5 0_EX_X_2014_1000 NAC_5
0 EX_X 2014 1000 NAC 5_C 0_EX_X_2014_1000 NAC_5_C
0 EX_X 2014 1000 NAC 5_NC 0_EX_X_2014_1000 NAC_5_NC
0 EX_X 2014 1000 NAC 5_NC_T 0_EX_X_2014_1000 NAC_5_NC_T
0 EX_X 2014 1000 NAC 6 0_EX_X_2014_1000 NAC_6
0 EX_X 2014 1000 NAC 6_1 0_EX_X_2014_1000 NAC_6_1
0 EX_X 2014 1000 NAC 6_1_C 0_EX_X_2014_1000 NAC_6_1_C
0 EX_X 2014 1000 NAC 6_1_NC 0_EX_X_2014_1000 NAC_6_1_NC
0 EX_X 2014 1000 NAC 6_1_NC_T 0_EX_X_2014_1000 NAC_6_1_NC_T
0 EX_X 2014 1000 NAC 6_2 0_EX_X_2014_1000 NAC_6_2
0 EX_X 2014 1000 NAC 6_2_C 0_EX_X_2014_1000 NAC_6_2_C
0 EX_X 2014 1000 NAC 6_2_NC 0_EX_X_2014_1000 NAC_6_2_NC
0 EX_X 2014 1000 NAC 6_2_NC_T 0_EX_X_2014_1000 NAC_6_2_NC_T
0 EX_X 2014 1000 NAC 6_3 0_EX_X_2014_1000 NAC_6_3
0 EX_X 2014 1000 NAC 6_3_1 0_EX_X_2014_1000 NAC_6_3_1
0 EX_X 2014 1000 NAC 6_4 0_EX_X_2014_1000 NAC_6_4
0 EX_X 2014 1000 NAC 6_4_1 0_EX_X_2014_1000 NAC_6_4_1
0 EX_X 2014 1000 NAC 6_4_2 0_EX_X_2014_1000 NAC_6_4_2
0 EX_X 2014 1000 NAC 6_4_3 0_EX_X_2014_1000 NAC_6_4_3
0 EX_X 2014 1000 NAC 7 0_EX_X_2014_1000 NAC_7
0 EX_X 2014 1000 NAC 7_1 0_EX_X_2014_1000 NAC_7_1
0 EX_X 2014 1000 NAC 7_2 0_EX_X_2014_1000 NAC_7_2
0 EX_X 2014 1000 NAC 7_3 0_EX_X_2014_1000 NAC_7_3
0 EX_X 2014 1000 NAC 7_3_1 0_EX_X_2014_1000 NAC_7_3_1
0 EX_X 2014 1000 NAC 7_3_2 0_EX_X_2014_1000 NAC_7_3_2
0 EX_X 2014 1000 NAC 7_3_3 0_EX_X_2014_1000 NAC_7_3_3
0 EX_X 2014 1000 NAC 7_3_4 0_EX_X_2014_1000 NAC_7_3_4
0 EX_X 2014 1000 NAC 7_4 0_EX_X_2014_1000 NAC_7_4
0 EX_X 2014 1000 NAC 8 0_EX_X_2014_1000 NAC_8
0 EX_X 2014 1000 NAC 8_1 0_EX_X_2014_1000 NAC_8_1
0 EX_X 2014 1000 NAC 8_2 0_EX_X_2014_1000 NAC_8_2
0 EX_X 2014 1000 NAC 9 0_EX_X_2014_1000 NAC_9
0 EX_X 2014 1000 NAC 10 0_EX_X_2014_1000 NAC_10
0 EX_X 2014 1000 NAC 10_1 0_EX_X_2014_1000 NAC_10_1
0 EX_X 2014 1000 NAC 10_1_1 0_EX_X_2014_1000 NAC_10_1_1
0 EX_X 2014 1000 NAC 10_1_2 0_EX_X_2014_1000 NAC_10_1_2
0 EX_X 2014 1000 NAC 10_1_3 0_EX_X_2014_1000 NAC_10_1_3
0 EX_X 2014 1000 NAC 10_1_4 0_EX_X_2014_1000 NAC_10_1_4
0 EX_X 2014 1000 NAC 10_2 0_EX_X_2014_1000 NAC_10_2
0 EX_X 2014 1000 NAC 10_3 0_EX_X_2014_1000 NAC_10_3
0 EX_X 2014 1000 NAC 10_3_1 0_EX_X_2014_1000 NAC_10_3_1
0 EX_X 2014 1000 NAC 10_3_2 0_EX_X_2014_1000 NAC_10_3_2
0 EX_X 2014 1000 NAC 10_3_3 0_EX_X_2014_1000 NAC_10_3_3
0 EX_X 2014 1000 NAC 10_3_4 0_EX_X_2014_1000 NAC_10_3_4
0 EX_X 2014 1000 NAC 10_4 0_EX_X_2014_1000 NAC_10_4
0 P 2014 1000 m3 EU2_1 0_P_2014_1000 m3_EU2_1
0 P 2014 1000 m3 EU2_1_C 0_P_2014_1000 m3_EU2_1_C
0 P 2014 1000 m3 EU2_1_NC 0_P_2014_1000 m3_EU2_1_NC
0 P 2014 1000 m3 EU2_1_1 0_P_2014_1000 m3_EU2_1_1
0 P 2014 1000 m3 EU2_1_1_C 0_P_2014_1000 m3_EU2_1_1_C
0 P 2014 1000 m3 EU2_1_1_NC 0_P_2014_1000 m3_EU2_1_1_NC
0 P 2014 1000 m3 EU2_1_2 0_P_2014_1000 m3_EU2_1_2
0 P 2014 1000 m3 EU2_1_2_C 0_P_2014_1000 m3_EU2_1_2_C
0 P 2014 1000 m3 EU2_1_2_NC 0_P_2014_1000 m3_EU2_1_2_NC
0 P 2014 1000 m3 EU2_1_3 0_P_2014_1000 m3_EU2_1_3
0 P 2014 1000 m3 EU2_1_3_C 0_P_2014_1000 m3_EU2_1_3_C
0 P 2014 1000 m3 EU2_1_3_NC 0_P_2014_1000 m3_EU2_1_3_NC
0 P.OB 2014 1000 m3 1 0_P.OB_2014_1000 m3_1
0 P.OB 2014 1000 m3 1_C 0_P.OB_2014_1000 m3_1_C
0 P.OB 2014 1000 m3 1_NC 0_P.OB_2014_1000 m3_1_NC
0 P.OB 2014 1000 m3 1_1 0_P.OB_2014_1000 m3_1_1
0 P.OB 2014 1000 m3 1_1_C 0_P.OB_2014_1000 m3_1_1_C
0 P.OB 2014 1000 m3 1_1_NC 0_P.OB_2014_1000 m3_1_1_NC
0 P.OB 2014 1000 m3 1_2 0_P.OB_2014_1000 m3_1_2
0 P.OB 2014 1000 m3 1_2_C 0_P.OB_2014_1000 m3_1_2_C
0 P.OB 2014 1000 m3 1_2_NC 0_P.OB_2014_1000 m3_1_2_NC
0 P.OB 2014 1000 m3 1_2_1 0_P.OB_2014_1000 m3_1_2_1
0 P.OB 2014 1000 m3 1_2_1_C 0_P.OB_2014_1000 m3_1_2_1_C
0 P.OB 2014 1000 m3 1_2_1_NC 0_P.OB_2014_1000 m3_1_2_1_NC
0 P.OB 2014 1000 m3 1_2_2 0_P.OB_2014_1000 m3_1_2_2
0 P.OB 2014 1000 m3 1_2_2_C 0_P.OB_2014_1000 m3_1_2_2_C
0 P.OB 2014 1000 m3 1_2_2_NC 0_P.OB_2014_1000 m3_1_2_2_NC
0 P.OB 2014 1000 m3 1_2_3 0_P.OB_2014_1000 m3_1_2_3
0 P.OB 2014 1000 m3 1_2_3_C 0_P.OB_2014_1000 m3_1_2_3_C
0 P.OB 2014 1000 m3 1_2_3_NC 0_P.OB_2014_1000 m3_1_2_3_NC
0 P 2013 1000 m3 1 0_P_2013_1000 m3_1
0 P 2013 1000 m3 1_C 0_P_2013_1000 m3_1_C
0 P 2013 1000 m3 1_NC 0_P_2013_1000 m3_1_NC
0 P 2013 1000 m3 1_1 0_P_2013_1000 m3_1_1
0 P 2013 1000 m3 1_1_C 0_P_2013_1000 m3_1_1_C
0 P 2013 1000 m3 1_1_NC 0_P_2013_1000 m3_1_1_NC
0 P 2013 1000 m3 1_2 0_P_2013_1000 m3_1_2
0 P 2013 1000 m3 1_2_C 0_P_2013_1000 m3_1_2_C
0 P 2013 1000 m3 1_2_NC 0_P_2013_1000 m3_1_2_NC
0 P 2013 1000 m3 1_2_1 0_P_2013_1000 m3_1_2_1
0 P 2013 1000 m3 1_2_1_C 0_P_2013_1000 m3_1_2_1_C
0 P 2013 1000 m3 1_2_1_NC 0_P_2013_1000 m3_1_2_1_NC
0 P 2013 1000 m3 1_2_2 0_P_2013_1000 m3_1_2_2
0 P 2013 1000 m3 1_2_2_C 0_P_2013_1000 m3_1_2_2_C
0 P 2013 1000 m3 1_2_2_NC 0_P_2013_1000 m3_1_2_2_NC
0 P 2013 1000 m3 1_2_3 0_P_2013_1000 m3_1_2_3
0 P 2013 1000 m3 1_2_3_C 0_P_2013_1000 m3_1_2_3_C
0 P 2013 1000 m3 1_2_3_NC 0_P_2013_1000 m3_1_2_3_NC
0 P 2013 1000 mt 2 0_P_2013_1000 mt_2
0 P 2013 1000 m3 3 0_P_2013_1000 m3_3
0 P 2013 1000 m3 3_1 0_P_2013_1000 m3_3_1
0 P 2013 1000 m3 3_2 0_P_2013_1000 m3_3_2
0 P 2013 1000 mt 4 0_P_2013_1000 mt_4
0 P 2013 1000 mt 4_1 0_P_2013_1000 mt_4_1
0 P 2013 1000 mt 4_2 0_P_2013_1000 mt_4_2
0 P 2013 1000 m3 5 0_P_2013_1000 m3_5
0 P 2013 1000 m3 5_C 0_P_2013_1000 m3_5_C
0 P 2013 1000 m3 5_NC 0_P_2013_1000 m3_5_NC
0 P 2013 1000 m3 5_NC_T 0_P_2013_1000 m3_5_NC_T
0 P 2013 1000 m3 6 0_P_2013_1000 m3_6
0 P 2013 1000 m3 6_1 0_P_2013_1000 m3_6_1
0 P 2013 1000 m3 6_1_C 0_P_2013_1000 m3_6_1_C
0 P 2013 1000 m3 6_1_NC 0_P_2013_1000 m3_6_1_NC
0 P 2013 1000 m3 6_1_NC_T 0_P_2013_1000 m3_6_1_NC_T
0 P 2013 1000 m3 6_2 0_P_2013_1000 m3_6_2
0 P 2013 1000 m3 6_2_C 0_P_2013_1000 m3_6_2_C
0 P 2013 1000 m3 6_2_NC 0_P_2013_1000 m3_6_2_NC
0 P 2013 1000 m3 6_2_NC_T 0_P_2013_1000 m3_6_2_NC_T
0 P 2013 1000 m3 6_3 0_P_2013_1000 m3_6_3
0 P 2013 1000 m3 6_3_1 0_P_2013_1000 m3_6_3_1
0 P 2013 1000 m3 6_4 0_P_2013_1000 m3_6_4
0 P 2013 1000 m3 6_4_1 0_P_2013_1000 m3_6_4_1
0 P 2013 1000 m3 6_4_2 0_P_2013_1000 m3_6_4_2
0 P 2013 1000 m3 6_4_3 0_P_2013_1000 m3_6_4_3
0 P 2013 1000 mt 7 0_P_2013_1000 mt_7
0 P 2013 1000 mt 7_1 0_P_2013_1000 mt_7_1
0 P 2013 1000 mt 7_2 0_P_2013_1000 mt_7_2
0 P 2013 1000 mt 7_3 0_P_2013_1000 mt_7_3
0 P 2013 1000 mt 7_3_1 0_P_2013_1000 mt_7_3_1
0 P 2013 1000 mt 7_3_2 0_P_2013_1000 mt_7_3_2
0 P 2013 1000 mt 7_3_3 0_P_2013_1000 mt_7_3_3
0 P 2013 1000 mt 7_3_4 0_P_2013_1000 mt_7_3_4
0 P 2013 1000 mt 7_4 0_P_2013_1000 mt_7_4
0 P 2013 1000 mt 8 0_P_2013_1000 mt_8
0 P 2013 1000 mt 8_1 0_P_2013_1000 mt_8_1
0 P 2013 1000 mt 8_2 0_P_2013_1000 mt_8_2
0 P 2013 1000 mt 9 0_P_2013_1000 mt_9
0 P 2013 1000 mt 10 0_P_2013_1000 mt_10
0 P 2013 1000 mt 10_1 0_P_2013_1000 mt_10_1
0 P 2013 1000 mt 10_1_1 0_P_2013_1000 mt_10_1_1
0 P 2013 1000 mt 10_1_2 0_P_2013_1000 mt_10_1_2
0 P 2013 1000 mt 10_1_3 0_P_2013_1000 mt_10_1_3
0 P 2013 1000 mt 10_1_4 0_P_2013_1000 mt_10_1_4
0 P 2013 1000 mt 10_2 0_P_2013_1000 mt_10_2
0 P 2013 1000 mt 10_3 0_P_2013_1000 mt_10_3
0 P 2013 1000 mt 10_3_1 0_P_2013_1000 mt_10_3_1
0 P 2013 1000 mt 10_3_2 0_P_2013_1000 mt_10_3_2
0 P 2013 1000 mt 10_3_3 0_P_2013_1000 mt_10_3_3
0 P 2013 1000 mt 10_3_4 0_P_2013_1000 mt_10_3_4
0 P 2013 1000 mt 10_4 0_P_2013_1000 mt_10_4
0 M 2013 1000 m3 1 0_M_2013_1000 m3_1
0 M 2013 1000 m3 1_1 0_M_2013_1000 m3_1_1
0 M 2013 1000 m3 1_2 0_M_2013_1000 m3_1_2
0 M 2013 1000 m3 1_2_C 0_M_2013_1000 m3_1_2_C
0 M 2013 1000 m3 1_2_NC 0_M_2013_1000 m3_1_2_NC
0 M 2013 1000 m3 1_2_NC_T 0_M_2013_1000 m3_1_2_NC_T
0 M 2013 1000 mt 2 0_M_2013_1000 mt_2
0 M 2013 1000 m3 3 0_M_2013_1000 m3_3
0 M 2013 1000 m3 3_1 0_M_2013_1000 m3_3_1
0 M 2013 1000 m3 3_2 0_M_2013_1000 m3_3_2
0 M 2013 1000 mt 4 0_M_2013_1000 mt_4
0 M 2013 1000 mt 4_1 0_M_2013_1000 mt_4_1
0 M 2013 1000 mt 4_2 0_M_2013_1000 mt_4_2
0 M 2013 1000 m3 5 0_M_2013_1000 m3_5
0 M 2013 1000 m3 5_C 0_M_2013_1000 m3_5_C
0 M 2013 1000 m3 5_NC 0_M_2013_1000 m3_5_NC
0 M 2013 1000 m3 5_NC_T 0_M_2013_1000 m3_5_NC_T
0 M 2013 1000 m3 6 0_M_2013_1000 m3_6
0 M 2013 1000 m3 6_1 0_M_2013_1000 m3_6_1
0 M 2013 1000 m3 6_1_C 0_M_2013_1000 m3_6_1_C
0 M 2013 1000 m3 6_1_NC 0_M_2013_1000 m3_6_1_NC
0 M 2013 1000 m3 6_1_NC_T 0_M_2013_1000 m3_6_1_NC_T
0 M 2013 1000 m3 6_2 0_M_2013_1000 m3_6_2
0 M 2013 1000 m3 6_2_C 0_M_2013_1000 m3_6_2_C
0 M 2013 1000 m3 6_2_NC 0_M_2013_1000 m3_6_2_NC
0 M 2013 1000 m3 6_2_NC_T 0_M_2013_1000 m3_6_2_NC_T
0 M 2013 1000 m3 6_3 0_M_2013_1000 m3_6_3
0 M 2013 1000 m3 6_3_1 0_M_2013_1000 m3_6_3_1
0 M 2013 1000 m3 6_4 0_M_2013_1000 m3_6_4
0 M 2013 1000 m3 6_4_1 0_M_2013_1000 m3_6_4_1
0 M 2013 1000 m3 6_4_2 0_M_2013_1000 m3_6_4_2
0 M 2013 1000 m3 6_4_3 0_M_2013_1000 m3_6_4_3
0 M 2013 1000 mt 7 0_M_2013_1000 mt_7
0 M 2013 1000 mt 7_1 0_M_2013_1000 mt_7_1
0 M 2013 1000 mt 7_2 0_M_2013_1000 mt_7_2
0 M 2013 1000 mt 7_3 0_M_2013_1000 mt_7_3
0 M 2013 1000 mt 7_3_1 0_M_2013_1000 mt_7_3_1
0 M 2013 1000 mt 7_3_2 0_M_2013_1000 mt_7_3_2
0 M 2013 1000 mt 7_3_3 0_M_2013_1000 mt_7_3_3
0 M 2013 1000 mt 7_3_4 0_M_2013_1000 mt_7_3_4
0 M 2013 1000 mt 7_4 0_M_2013_1000 mt_7_4
0 M 2013 1000 mt 8 0_M_2013_1000 mt_8
0 M 2013 1000 mt 8_1 0_M_2013_1000 mt_8_1
0 M 2013 1000 mt 8_2 0_M_2013_1000 mt_8_2
0 M 2013 1000 mt 9 0_M_2013_1000 mt_9
0 M 2013 1000 mt 10 0_M_2013_1000 mt_10
0 M 2013 1000 mt 10_1 0_M_2013_1000 mt_10_1
0 M 2013 1000 mt 10_1_1 0_M_2013_1000 mt_10_1_1
0 M 2013 1000 mt 10_1_2 0_M_2013_1000 mt_10_1_2
0 M 2013 1000 mt 10_1_3 0_M_2013_1000 mt_10_1_3
0 M 2013 1000 mt 10_1_4 0_M_2013_1000 mt_10_1_4
0 M 2013 1000 mt 10_2 0_M_2013_1000 mt_10_2
0 M 2013 1000 mt 10_3 0_M_2013_1000 mt_10_3
0 M 2013 1000 mt 10_3_1 0_M_2013_1000 mt_10_3_1
0 M 2013 1000 mt 10_3_2 0_M_2013_1000 mt_10_3_2
0 M 2013 1000 mt 10_3_3 0_M_2013_1000 mt_10_3_3
0 M 2013 1000 mt 10_3_4 0_M_2013_1000 mt_10_3_4
0 M 2013 1000 mt 10_4 0_M_2013_1000 mt_10_4
0 M 2013 1000 NAC 1 0_M_2013_1000 NAC_1
0 M 2013 1000 NAC 1_1 0_M_2013_1000 NAC_1_1
0 M 2013 1000 NAC 1_2 0_M_2013_1000 NAC_1_2
0 M 2013 1000 NAC 1_2_C 0_M_2013_1000 NAC_1_2_C
0 M 2013 1000 NAC 1_2_NC 0_M_2013_1000 NAC_1_2_NC
0 M 2013 1000 NAC 1_2_NC_T 0_M_2013_1000 NAC_1_2_NC_T
0 M 2013 1000 NAC 2 0_M_2013_1000 NAC_2
0 M 2013 1000 NAC 3 0_M_2013_1000 NAC_3
0 M 2013 1000 NAC 3_1 0_M_2013_1000 NAC_3_1
0 M 2013 1000 NAC 3_2 0_M_2013_1000 NAC_3_2
0 M 2013 1000 NAC 4 0_M_2013_1000 NAC_4
0 M 2013 1000 NAC 4_1 0_M_2013_1000 NAC_4_1
0 M 2013 1000 NAC 4_2 0_M_2013_1000 NAC_4_2
0 M 2013 1000 NAC 5 0_M_2013_1000 NAC_5
0 M 2013 1000 NAC 5_C 0_M_2013_1000 NAC_5_C
0 M 2013 1000 NAC 5_NC 0_M_2013_1000 NAC_5_NC
0 M 2013 1000 NAC 5_NC_T 0_M_2013_1000 NAC_5_NC_T
0 M 2013 1000 NAC 6 0_M_2013_1000 NAC_6
0 M 2013 1000 NAC 6_1 0_M_2013_1000 NAC_6_1
0 M 2013 1000 NAC 6_1_C 0_M_2013_1000 NAC_6_1_C
0 M 2013 1000 NAC 6_1_NC 0_M_2013_1000 NAC_6_1_NC
0 M 2013 1000 NAC 6_1_NC_T 0_M_2013_1000 NAC_6_1_NC_T
0 M 2013 1000 NAC 6_2 0_M_2013_1000 NAC_6_2
0 M 2013 1000 NAC 6_2_C 0_M_2013_1000 NAC_6_2_C
0 M 2013 1000 NAC 6_2_NC 0_M_2013_1000 NAC_6_2_NC
0 M 2013 1000 NAC 6_2_NC_T 0_M_2013_1000 NAC_6_2_NC_T
0 M 2013 1000 NAC 6_3 0_M_2013_1000 NAC_6_3
0 M 2013 1000 NAC 6_3_1 0_M_2013_1000 NAC_6_3_1
0 M 2013 1000 NAC 6_4 0_M_2013_1000 NAC_6_4
0 M 2013 1000 NAC 6_4_1 0_M_2013_1000 NAC_6_4_1
0 M 2013 1000 NAC 6_4_2 0_M_2013_1000 NAC_6_4_2
0 M 2013 1000 NAC 6_4_3 0_M_2013_1000 NAC_6_4_3
0 M 2013 1000 NAC 7 0_M_2013_1000 NAC_7
0 M 2013 1000 NAC 7_1 0_M_2013_1000 NAC_7_1
0 M 2013 1000 NAC 7_2 0_M_2013_1000 NAC_7_2
0 M 2013 1000 NAC 7_3 0_M_2013_1000 NAC_7_3
0 M 2013 1000 NAC 7_3_1 0_M_2013_1000 NAC_7_3_1
0 M 2013 1000 NAC 7_3_2 0_M_2013_1000 NAC_7_3_2
0 M 2013 1000 NAC 7_3_3 0_M_2013_1000 NAC_7_3_3
0 M 2013 1000 NAC 7_3_4 0_M_2013_1000 NAC_7_3_4
0 M 2013 1000 NAC 7_4 0_M_2013_1000 NAC_7_4
0 M 2013 1000 NAC 8 0_M_2013_1000 NAC_8
0 M 2013 1000 NAC 8_1 0_M_2013_1000 NAC_8_1
0 M 2013 1000 NAC 8_2 0_M_2013_1000 NAC_8_2
0 M 2013 1000 NAC 9 0_M_2013_1000 NAC_9
0 M 2013 1000 NAC 10 0_M_2013_1000 NAC_10
0 M 2013 1000 NAC 10_1 0_M_2013_1000 NAC_10_1
0 M 2013 1000 NAC 10_1_1 0_M_2013_1000 NAC_10_1_1
0 M 2013 1000 NAC 10_1_2 0_M_2013_1000 NAC_10_1_2
0 M 2013 1000 NAC 10_1_3 0_M_2013_1000 NAC_10_1_3
0 M 2013 1000 NAC 10_1_4 0_M_2013_1000 NAC_10_1_4
0 M 2013 1000 NAC 10_2 0_M_2013_1000 NAC_10_2
0 M 2013 1000 NAC 10_3 0_M_2013_1000 NAC_10_3
0 M 2013 1000 NAC 10_3_1 0_M_2013_1000 NAC_10_3_1
0 M 2013 1000 NAC 10_3_2 0_M_2013_1000 NAC_10_3_2
0 M 2013 1000 NAC 10_3_3 0_M_2013_1000 NAC_10_3_3
0 M 2013 1000 NAC 10_3_4 0_M_2013_1000 NAC_10_3_4
0 M 2013 1000 NAC 10_4 0_M_2013_1000 NAC_10_4
0 X 2013 1000 m3 1 0_X_2013_1000 m3_1
0 X 2013 1000 m3 1_1 0_X_2013_1000 m3_1_1
0 X 2013 1000 m3 1_2 0_X_2013_1000 m3_1_2
0 X 2013 1000 m3 1_2_C 0_X_2013_1000 m3_1_2_C
0 X 2013 1000 m3 1_2_NC 0_X_2013_1000 m3_1_2_NC
0 X 2013 1000 m3 1_2_NC_T 0_X_2013_1000 m3_1_2_NC_T
0 X 2013 1000 mt 2 0_X_2013_1000 mt_2
0 X 2013 1000 m3 3 0_X_2013_1000 m3_3
0 X 2013 1000 m3 3_1 0_X_2013_1000 m3_3_1
0 X 2013 1000 m3 3_2 0_X_2013_1000 m3_3_2
0 X 2013 1000 mt 4 0_X_2013_1000 mt_4
0 X 2013 1000 mt 4_1 0_X_2013_1000 mt_4_1
0 X 2013 1000 mt 4_2 0_X_2013_1000 mt_4_2
0 X 2013 1000 m3 5 0_X_2013_1000 m3_5
0 X 2013 1000 m3 5_C 0_X_2013_1000 m3_5_C
0 X 2013 1000 m3 5_NC 0_X_2013_1000 m3_5_NC
0 X 2013 1000 m3 5_NC_T 0_X_2013_1000 m3_5_NC_T
0 X 2013 1000 m3 6 0_X_2013_1000 m3_6
0 X 2013 1000 m3 6_1 0_X_2013_1000 m3_6_1
0 X 2013 1000 m3 6_1_C 0_X_2013_1000 m3_6_1_C
0 X 2013 1000 m3 6_1_NC 0_X_2013_1000 m3_6_1_NC
0 X 2013 1000 m3 6_1_NC_T 0_X_2013_1000 m3_6_1_NC_T
0 X 2013 1000 m3 6_2 0_X_2013_1000 m3_6_2
0 X 2013 1000 m3 6_2_C 0_X_2013_1000 m3_6_2_C
0 X 2013 1000 m3 6_2_NC 0_X_2013_1000 m3_6_2_NC
0 X 2013 1000 m3 6_2_NC_T 0_X_2013_1000 m3_6_2_NC_T
0 X 2013 1000 m3 6_3 0_X_2013_1000 m3_6_3
0 X 2013 1000 m3 6_3_1 0_X_2013_1000 m3_6_3_1
0 X 2013 1000 m3 6_4 0_X_2013_1000 m3_6_4
0 X 2013 1000 m3 6_4_1 0_X_2013_1000 m3_6_4_1
0 X 2013 1000 m3 6_4_2 0_X_2013_1000 m3_6_4_2
0 X 2013 1000 m3 6_4_3 0_X_2013_1000 m3_6_4_3
0 X 2013 1000 mt 7 0_X_2013_1000 mt_7
0 X 2013 1000 mt 7_1 0_X_2013_1000 mt_7_1
0 X 2013 1000 mt 7_2 0_X_2013_1000 mt_7_2
0 X 2013 1000 mt 7_3 0_X_2013_1000 mt_7_3
0 X 2013 1000 mt 7_3_1 0_X_2013_1000 mt_7_3_1
0 X 2013 1000 mt 7_3_2 0_X_2013_1000 mt_7_3_2
0 X 2013 1000 mt 7_3_3 0_X_2013_1000 mt_7_3_3
0 X 2013 1000 mt 7_3_4 0_X_2013_1000 mt_7_3_4
0 X 2013 1000 mt 7_4 0_X_2013_1000 mt_7_4
0 X 2013 1000 mt 8 0_X_2013_1000 mt_8
0 X 2013 1000 mt 8_1 0_X_2013_1000 mt_8_1
0 X 2013 1000 mt 8_2 0_X_2013_1000 mt_8_2
0 X 2013 1000 mt 9 0_X_2013_1000 mt_9
0 X 2013 1000 mt 10 0_X_2013_1000 mt_10
0 X 2013 1000 mt 10_1 0_X_2013_1000 mt_10_1
0 X 2013 1000 mt 10_1_1 0_X_2013_1000 mt_10_1_1
0 X 2013 1000 mt 10_1_2 0_X_2013_1000 mt_10_1_2
0 X 2013 1000 mt 10_1_3 0_X_2013_1000 mt_10_1_3
0 X 2013 1000 mt 10_1_4 0_X_2013_1000 mt_10_1_4
0 X 2013 1000 mt 10_2 0_X_2013_1000 mt_10_2
0 X 2013 1000 mt 10_3 0_X_2013_1000 mt_10_3
0 X 2013 1000 mt 10_3_1 0_X_2013_1000 mt_10_3_1
0 X 2013 1000 mt 10_3_2 0_X_2013_1000 mt_10_3_2
0 X 2013 1000 mt 10_3_3 0_X_2013_1000 mt_10_3_3
0 X 2013 1000 mt 10_3_4 0_X_2013_1000 mt_10_3_4
0 X 2013 1000 mt 10_4 0_X_2013_1000 mt_10_4
0 X 2013 1000 NAC 1 0_X_2013_1000 NAC_1
0 X 2013 1000 NAC 1_1 0_X_2013_1000 NAC_1_1
0 X 2013 1000 NAC 1_2 0_X_2013_1000 NAC_1_2
0 X 2013 1000 NAC 1_2_C 0_X_2013_1000 NAC_1_2_C
0 X 2013 1000 NAC 1_2_NC 0_X_2013_1000 NAC_1_2_NC
0 X 2013 1000 NAC 1_2_NC_T 0_X_2013_1000 NAC_1_2_NC_T
0 X 2013 1000 NAC 2 0_X_2013_1000 NAC_2
0 X 2013 1000 NAC 3 0_X_2013_1000 NAC_3
0 X 2013 1000 NAC 3_1 0_X_2013_1000 NAC_3_1
0 X 2013 1000 NAC 3_2 0_X_2013_1000 NAC_3_2
0 X 2013 1000 NAC 4 0_X_2013_1000 NAC_4
0 X 2013 1000 NAC 4_1 0_X_2013_1000 NAC_4_1
0 X 2013 1000 NAC 4_2 0_X_2013_1000 NAC_4_2
0 X 2013 1000 NAC 5 0_X_2013_1000 NAC_5
0 X 2013 1000 NAC 5_C 0_X_2013_1000 NAC_5_C
0 X 2013 1000 NAC 5_NC 0_X_2013_1000 NAC_5_NC
0 X 2013 1000 NAC 5_NC_T 0_X_2013_1000 NAC_5_NC_T
0 X 2013 1000 NAC 6 0_X_2013_1000 NAC_6
0 X 2013 1000 NAC 6_1 0_X_2013_1000 NAC_6_1
0 X 2013 1000 NAC 6_1_C 0_X_2013_1000 NAC_6_1_C
0 X 2013 1000 NAC 6_1_NC 0_X_2013_1000 NAC_6_1_NC
0 X 2013 1000 NAC 6_1_NC_T 0_X_2013_1000 NAC_6_1_NC_T
0 X 2013 1000 NAC 6_2 0_X_2013_1000 NAC_6_2
0 X 2013 1000 NAC 6_2_C 0_X_2013_1000 NAC_6_2_C
0 X 2013 1000 NAC 6_2_NC 0_X_2013_1000 NAC_6_2_NC
0 X 2013 1000 NAC 6_2_NC_T 0_X_2013_1000 NAC_6_2_NC_T
0 X 2013 1000 NAC 6_3 0_X_2013_1000 NAC_6_3
0 X 2013 1000 NAC 6_3_1 0_X_2013_1000 NAC_6_3_1
0 X 2013 1000 NAC 6_4 0_X_2013_1000 NAC_6_4
0 X 2013 1000 NAC 6_4_1 0_X_2013_1000 NAC_6_4_1
0 X 2013 1000 NAC 6_4_2 0_X_2013_1000 NAC_6_4_2
0 X 2013 1000 NAC 6_4_3 0_X_2013_1000 NAC_6_4_3
0 X 2013 1000 NAC 7 0_X_2013_1000 NAC_7
0 X 2013 1000 NAC 7_1 0_X_2013_1000 NAC_7_1
0 X 2013 1000 NAC 7_2 0_X_2013_1000 NAC_7_2
0 X 2013 1000 NAC 7_3 0_X_2013_1000 NAC_7_3
0 X 2013 1000 NAC 7_3_1 0_X_2013_1000 NAC_7_3_1
0 X 2013 1000 NAC 7_3_2 0_X_2013_1000 NAC_7_3_2
0 X 2013 1000 NAC 7_3_3 0_X_2013_1000 NAC_7_3_3
0 X 2013 1000 NAC 7_3_4 0_X_2013_1000 NAC_7_3_4
0 X 2013 1000 NAC 7_4 0_X_2013_1000 NAC_7_4
0 X 2013 1000 NAC 8 0_X_2013_1000 NAC_8
0 X 2013 1000 NAC 8_1 0_X_2013_1000 NAC_8_1
0 X 2013 1000 NAC 8_2 0_X_2013_1000 NAC_8_2
0 X 2013 1000 NAC 9 0_X_2013_1000 NAC_9
0 X 2013 1000 NAC 10 0_X_2013_1000 NAC_10
0 X 2013 1000 NAC 10_1 0_X_2013_1000 NAC_10_1
0 X 2013 1000 NAC 10_1_1 0_X_2013_1000 NAC_10_1_1
0 X 2013 1000 NAC 10_1_2 0_X_2013_1000 NAC_10_1_2
0 X 2013 1000 NAC 10_1_3 0_X_2013_1000 NAC_10_1_3
0 X 2013 1000 NAC 10_1_4 0_X_2013_1000 NAC_10_1_4
0 X 2013 1000 NAC 10_2 0_X_2013_1000 NAC_10_2
0 X 2013 1000 NAC 10_3 0_X_2013_1000 NAC_10_3
0 X 2013 1000 NAC 10_3_1 0_X_2013_1000 NAC_10_3_1
0 X 2013 1000 NAC 10_3_2 0_X_2013_1000 NAC_10_3_2
0 X 2013 1000 NAC 10_3_3 0_X_2013_1000 NAC_10_3_3
0 X 2013 1000 NAC 10_3_4 0_X_2013_1000 NAC_10_3_4
0 X 2013 1000 NAC 10_4 0_X_2013_1000 NAC_10_4
0 M 2013 1000 NAC 11_1 0_M_2013_1000 NAC_11_1
0 M 2013 1000 NAC 11_1_C 0_M_2013_1000 NAC_11_1_C
0 M 2013 1000 NAC 11_1_NC 0_M_2013_1000 NAC_11_1_NC
0 M 2013 1000 NAC 11_1_NC_T 0_M_2013_1000 NAC_11_1_NC_T
0 M 2013 1000 NAC 11_2 0_M_2013_1000 NAC_11_2
0 M 2013 1000 NAC 11_3 0_M_2013_1000 NAC_11_3
0 M 2013 1000 NAC 11_4 0_M_2013_1000 NAC_11_4
0 M 2013 1000 NAC 11_5 0_M_2013_1000 NAC_11_5
0 M 2013 1000 NAC 11_6 0_M_2013_1000 NAC_11_6
0 M 2013 1000 NAC 11_7 0_M_2013_1000 NAC_11_7
0 M 2013 1000 NAC 11_7_1 0_M_2013_1000 NAC_11_7_1
0 M 2013 1000 NAC 12_1 0_M_2013_1000 NAC_12_1
0 M 2013 1000 NAC 12_2 0_M_2013_1000 NAC_12_2
0 M 2013 1000 NAC 12_3 0_M_2013_1000 NAC_12_3
0 M 2013 1000 NAC 12_4 0_M_2013_1000 NAC_12_4
0 M 2013 1000 NAC 12_5 0_M_2013_1000 NAC_12_5
0 M 2013 1000 NAC 12_6 0_M_2013_1000 NAC_12_6
0 M 2013 1000 NAC 12_6_1 0_M_2013_1000 NAC_12_6_1
0 M 2013 1000 NAC 12_6_2 0_M_2013_1000 NAC_12_6_2
0 M 2013 1000 NAC 12_6_3 0_M_2013_1000 NAC_12_6_3
0 M 2013 1000 NAC 12_7 0_M_2013_1000 NAC_12_7
0 M 2013 1000 NAC 12_7_1 0_M_2013_1000 NAC_12_7_1
0 M 2013 1000 NAC 12_7_2 0_M_2013_1000 NAC_12_7_2
0 M 2013 1000 NAC 12_7_3 0_M_2013_1000 NAC_12_7_3
0 X 2013 1000 NAC 11_1 0_X_2013_1000 NAC_11_1
0 X 2013 1000 NAC 11_1_C 0_X_2013_1000 NAC_11_1_C
0 X 2013 1000 NAC 11_1_NC 0_X_2013_1000 NAC_11_1_NC
0 X 2013 1000 NAC 11_1_NC_T 0_X_2013_1000 NAC_11_1_NC_T
0 X 2013 1000 NAC 11_2 0_X_2013_1000 NAC_11_2
0 X 2013 1000 NAC 11_3 0_X_2013_1000 NAC_11_3
0 X 2013 1000 NAC 11_4 0_X_2013_1000 NAC_11_4
0 X 2013 1000 NAC 11_5 0_X_2013_1000 NAC_11_5
0 X 2013 1000 NAC 11_6 0_X_2013_1000 NAC_11_6
0 X 2013 1000 NAC 11_7 0_X_2013_1000 NAC_11_7
0 X 2013 1000 NAC 11_7_1 0_X_2013_1000 NAC_11_7_1
0 X 2013 1000 NAC 12_1 0_X_2013_1000 NAC_12_1
0 X 2013 1000 NAC 12_2 0_X_2013_1000 NAC_12_2
0 X 2013 1000 NAC 12_3 0_X_2013_1000 NAC_12_3
0 X 2013 1000 NAC 12_4 0_X_2013_1000 NAC_12_4
0 X 2013 1000 NAC 12_5 0_X_2013_1000 NAC_12_5
0 X 2013 1000 NAC 12_6 0_X_2013_1000 NAC_12_6
0 X 2013 1000 NAC 12_6_1 0_X_2013_1000 NAC_12_6_1
0 X 2013 1000 NAC 12_6_2 0_X_2013_1000 NAC_12_6_2
0 X 2013 1000 NAC 12_6_3 0_X_2013_1000 NAC_12_6_3
0 X 2013 1000 NAC 12_7 0_X_2013_1000 NAC_12_7
0 X 2013 1000 NAC 12_7_1 0_X_2013_1000 NAC_12_7_1
0 X 2013 1000 NAC 12_7_2 0_X_2013_1000 NAC_12_7_2
0 X 2013 1000 NAC 12_7_3 0_X_2013_1000 NAC_12_7_3
0 M 2013 1000 m3 ST_1_2_C 0_M_2013_1000 m3_ST_1_2_C
0 M 2013 1000 m3 ST_1_2_C_1 0_M_2013_1000 m3_ST_1_2_C_1
0 M 2013 1000 m3 ST_1_2_C_1_1 0_M_2013_1000 m3_ST_1_2_C_1_1
0 M 2013 1000 m3 ST_1_2_C_2_1 0_M_2013_1000 m3_ST_1_2_C_2_1
0 M 2013 1000 m3 ST_1_2_C_2 0_M_2013_1000 m3_ST_1_2_C_2
0 M 2013 1000 m3 ST_1_2_C_1_2 0_M_2013_1000 m3_ST_1_2_C_1_2
0 M 2013 1000 m3 ST_1_2_C_2_2 0_M_2013_1000 m3_ST_1_2_C_2_2
0 M 2013 1000 m3 ST_1_2_C_3 0_M_2013_1000 m3_ST_1_2_C_3
0 M 2013 1000 m3 ST_1_2_C_1_3 0_M_2013_1000 m3_ST_1_2_C_1_3
0 M 2013 1000 m3 ST_1_2_C_2_3 0_M_2013_1000 m3_ST_1_2_C_2_3
0 M 2013 1000 m3 ST_1_2_NC 0_M_2013_1000 m3_ST_1_2_NC
0 M 2013 1000 m3 ST_1_2_NC_1 0_M_2013_1000 m3_ST_1_2_NC_1
0 M 2013 1000 m3 ST_1_2_NC_1_1 0_M_2013_1000 m3_ST_1_2_NC_1_1
0 M 2013 1000 m3 ST_1_2_NC_2_1 0_M_2013_1000 m3_ST_1_2_NC_2_1
0 M 2013 1000 m3 ST_1_2_NC_2 0_M_2013_1000 m3_ST_1_2_NC_2
0 M 2013 1000 m3 ST_1_2_NC_1_2 0_M_2013_1000 m3_ST_1_2_NC_1_2
0 M 2013 1000 m3 ST_1_2_NC_2_2 0_M_2013_1000 m3_ST_1_2_NC_2_2
0 M 2013 1000 m3 ST_1_2_NC_3 0_M_2013_1000 m3_ST_1_2_NC_3
0 M 2013 1000 m3 ST_1_2_NC_1_3 0_M_2013_1000 m3_ST_1_2_NC_1_3
0 M 2013 1000 m3 ST_1_2_NC_2_3 0_M_2013_1000 m3_ST_1_2_NC_2_3
0 M 2013 1000 m3 ST_1_2_NC_4 0_M_2013_1000 m3_ST_1_2_NC_4
0 M 2013 1000 m3 ST_1_2_NC_5 0_M_2013_1000 m3_ST_1_2_NC_5
0 M 2013 1000 m3 ST_5_C 0_M_2013_1000 m3_ST_5_C
0 M 2013 1000 m3 ST_5_C_1 0_M_2013_1000 m3_ST_5_C_1
0 M 2013 1000 m3 ST_5_C_2 0_M_2013_1000 m3_ST_5_C_2
0 M 2013 1000 m3 ST_5_NC 0_M_2013_1000 m3_ST_5_NC
0 M 2013 1000 m3 ST_5_NC_1 0_M_2013_1000 m3_ST_5_NC_1
0 M 2013 1000 m3 ST_5_NC_2 0_M_2013_1000 m3_ST_5_NC_2
0 M 2013 1000 m3 ST_5_NC_3 0_M_2013_1000 m3_ST_5_NC_3
0 M 2013 1000 m3 ST_5_NC_4 0_M_2013_1000 m3_ST_5_NC_4
0 M 2013 1000 m3 ST_5_NC_5 0_M_2013_1000 m3_ST_5_NC_5
0 M 2013 1000 m3 ST_5_NC_6 0_M_2013_1000 m3_ST_5_NC_6
0 M 2013 1000 m3 ST_5_NC_7 0_M_2013_1000 m3_ST_5_NC_7
0 M 2013 1000 NAC ST_1_2_C 0_M_2013_1000 NAC_ST_1_2_C
0 M 2013 1000 NAC ST_1_2_C_1 0_M_2013_1000 NAC_ST_1_2_C_1
0 M 2013 1000 NAC ST_1_2_C_1_1 0_M_2013_1000 NAC_ST_1_2_C_1_1
0 M 2013 1000 NAC ST_1_2_C_2_1 0_M_2013_1000 NAC_ST_1_2_C_2_1
0 M 2013 1000 NAC ST_1_2_C_2 0_M_2013_1000 NAC_ST_1_2_C_2
0 M 2013 1000 NAC ST_1_2_C_1_2 0_M_2013_1000 NAC_ST_1_2_C_1_2
0 M 2013 1000 NAC ST_1_2_C_2_2 0_M_2013_1000 NAC_ST_1_2_C_2_2
0 M 2013 1000 NAC ST_1_2_C_3 0_M_2013_1000 NAC_ST_1_2_C_3
0 M 2013 1000 NAC ST_1_2_C_1_3 0_M_2013_1000 NAC_ST_1_2_C_1_3
0 M 2013 1000 NAC ST_1_2_C_2_3 0_M_2013_1000 NAC_ST_1_2_C_2_3
0 M 2013 1000 NAC ST_1_2_NC 0_M_2013_1000 NAC_ST_1_2_NC
0 M 2013 1000 NAC ST_1_2_NC_1 0_M_2013_1000 NAC_ST_1_2_NC_1
0 M 2013 1000 NAC ST_1_2_NC_1_1 0_M_2013_1000 NAC_ST_1_2_NC_1_1
0 M 2013 1000 NAC ST_1_2_NC_2_1 0_M_2013_1000 NAC_ST_1_2_NC_2_1
0 M 2013 1000 NAC ST_1_2_NC_2 0_M_2013_1000 NAC_ST_1_2_NC_2
0 M 2013 1000 NAC ST_1_2_NC_1_2 0_M_2013_1000 NAC_ST_1_2_NC_1_2
0 M 2013 1000 NAC ST_1_2_NC_2_2 0_M_2013_1000 NAC_ST_1_2_NC_2_2
0 M 2013 1000 NAC ST_1_2_NC_3 0_M_2013_1000 NAC_ST_1_2_NC_3
0 M 2013 1000 NAC ST_1_2_NC_1_3 0_M_2013_1000 NAC_ST_1_2_NC_1_3
0 M 2013 1000 NAC ST_1_2_NC_2_3 0_M_2013_1000 NAC_ST_1_2_NC_2_3
0 M 2013 1000 NAC ST_1_2_NC_4 0_M_2013_1000 NAC_ST_1_2_NC_4
0 M 2013 1000 NAC ST_1_2_NC_5 0_M_2013_1000 NAC_ST_1_2_NC_5
0 M 2013 1000 NAC ST_5_C 0_M_2013_1000 NAC_ST_5_C
0 M 2013 1000 NAC ST_5_C_1 0_M_2013_1000 NAC_ST_5_C_1
0 M 2013 1000 NAC ST_5_C_2 0_M_2013_1000 NAC_ST_5_C_2
0 M 2013 1000 NAC ST_5_NC 0_M_2013_1000 NAC_ST_5_NC
0 M 2013 1000 NAC ST_5_NC_1 0_M_2013_1000 NAC_ST_5_NC_1
0 M 2013 1000 NAC ST_5_NC_2 0_M_2013_1000 NAC_ST_5_NC_2
0 M 2013 1000 NAC ST_5_NC_3 0_M_2013_1000 NAC_ST_5_NC_3
0 M 2013 1000 NAC ST_5_NC_4 0_M_2013_1000 NAC_ST_5_NC_4
0 M 2013 1000 NAC ST_5_NC_5 0_M_2013_1000 NAC_ST_5_NC_5
0 M 2013 1000 NAC ST_5_NC_6 0_M_2013_1000 NAC_ST_5_NC_6
0 M 2013 1000 NAC ST_5_NC_7 0_M_2013_1000 NAC_ST_5_NC_7
0 X 2013 1000 m3 ST_1_2_C 0_X_2013_1000 m3_ST_1_2_C
0 X 2013 1000 m3 ST_1_2_C_1 0_X_2013_1000 m3_ST_1_2_C_1
0 X 2013 1000 m3 ST_1_2_C_1_1 0_X_2013_1000 m3_ST_1_2_C_1_1
0 X 2013 1000 m3 ST_1_2_C_2_1 0_X_2013_1000 m3_ST_1_2_C_2_1
0 X 2013 1000 m3 ST_1_2_C_2 0_X_2013_1000 m3_ST_1_2_C_2
0 X 2013 1000 m3 ST_1_2_C_1_2 0_X_2013_1000 m3_ST_1_2_C_1_2
0 X 2013 1000 m3 ST_1_2_C_2_2 0_X_2013_1000 m3_ST_1_2_C_2_2
0 X 2013 1000 m3 ST_1_2_C_3 0_X_2013_1000 m3_ST_1_2_C_3
0 X 2013 1000 m3 ST_1_2_C_1_3 0_X_2013_1000 m3_ST_1_2_C_1_3
0 X 2013 1000 m3 ST_1_2_C_2_3 0_X_2013_1000 m3_ST_1_2_C_2_3
0 X 2013 1000 m3 ST_1_2_NC 0_X_2013_1000 m3_ST_1_2_NC
0 X 2013 1000 m3 ST_1_2_NC_1 0_X_2013_1000 m3_ST_1_2_NC_1
0 X 2013 1000 m3 ST_1_2_NC_1_1 0_X_2013_1000 m3_ST_1_2_NC_1_1
0 X 2013 1000 m3 ST_1_2_NC_2_1 0_X_2013_1000 m3_ST_1_2_NC_2_1
0 X 2013 1000 m3 ST_1_2_NC_2 0_X_2013_1000 m3_ST_1_2_NC_2
0 X 2013 1000 m3 ST_1_2_NC_1_2 0_X_2013_1000 m3_ST_1_2_NC_1_2
0 X 2013 1000 m3 ST_1_2_NC_2_2 0_X_2013_1000 m3_ST_1_2_NC_2_2
0 X 2013 1000 m3 ST_1_2_NC_3 0_X_2013_1000 m3_ST_1_2_NC_3
0 X 2013 1000 m3 ST_1_2_NC_1_3 0_X_2013_1000 m3_ST_1_2_NC_1_3
0 X 2013 1000 m3 ST_1_2_NC_2_3 0_X_2013_1000 m3_ST_1_2_NC_2_3
0 X 2013 1000 m3 ST_1_2_NC_4 0_X_2013_1000 m3_ST_1_2_NC_4
0 X 2013 1000 m3 ST_1_2_NC_5 0_X_2013_1000 m3_ST_1_2_NC_5
0 X 2013 1000 m3 ST_5_C 0_X_2013_1000 m3_ST_5_C
0 X 2013 1000 m3 ST_5_C_1 0_X_2013_1000 m3_ST_5_C_1
0 X 2013 1000 m3 ST_5_C_2 0_X_2013_1000 m3_ST_5_C_2
0 X 2013 1000 m3 ST_5_NC 0_X_2013_1000 m3_ST_5_NC
0 X 2013 1000 m3 ST_5_NC_1 0_X_2013_1000 m3_ST_5_NC_1
0 X 2013 1000 m3 ST_5_NC_2 0_X_2013_1000 m3_ST_5_NC_2
0 X 2013 1000 m3 ST_5_NC_3 0_X_2013_1000 m3_ST_5_NC_3
0 X 2013 1000 m3 ST_5_NC_4 0_X_2013_1000 m3_ST_5_NC_4
0 X 2013 1000 m3 ST_5_NC_5 0_X_2013_1000 m3_ST_5_NC_5
0 X 2013 1000 m3 ST_5_NC_6 0_X_2013_1000 m3_ST_5_NC_6
0 X 2013 1000 m3 ST_5_NC_7 0_X_2013_1000 m3_ST_5_NC_7
0 X 2013 1000 NAC ST_1_2_C 0_X_2013_1000 NAC_ST_1_2_C
0 X 2013 1000 NAC ST_1_2_C_1 0_X_2013_1000 NAC_ST_1_2_C_1
0 X 2013 1000 NAC ST_1_2_C_1_1 0_X_2013_1000 NAC_ST_1_2_C_1_1
0 X 2013 1000 NAC ST_1_2_C_2_1 0_X_2013_1000 NAC_ST_1_2_C_2_1
0 X 2013 1000 NAC ST_1_2_C_2 0_X_2013_1000 NAC_ST_1_2_C_2
0 X 2013 1000 NAC ST_1_2_C_1_2 0_X_2013_1000 NAC_ST_1_2_C_1_2
0 X 2013 1000 NAC ST_1_2_C_2_2 0_X_2013_1000 NAC_ST_1_2_C_2_2
0 X 2013 1000 NAC ST_1_2_C_3 0_X_2013_1000 NAC_ST_1_2_C_3
0 X 2013 1000 NAC ST_1_2_C_1_3 0_X_2013_1000 NAC_ST_1_2_C_1_3
0 X 2013 1000 NAC ST_1_2_C_2_3 0_X_2013_1000 NAC_ST_1_2_C_2_3
0 X 2013 1000 NAC ST_1_2_NC 0_X_2013_1000 NAC_ST_1_2_NC
0 X 2013 1000 NAC ST_1_2_NC_1 0_X_2013_1000 NAC_ST_1_2_NC_1
0 X 2013 1000 NAC ST_1_2_NC_1_1 0_X_2013_1000 NAC_ST_1_2_NC_1_1
0 X 2013 1000 NAC ST_1_2_NC_2_1 0_X_2013_1000 NAC_ST_1_2_NC_2_1
0 X 2013 1000 NAC ST_1_2_NC_2 0_X_2013_1000 NAC_ST_1_2_NC_2
0 X 2013 1000 NAC ST_1_2_NC_1_2 0_X_2013_1000 NAC_ST_1_2_NC_1_2
0 X 2013 1000 NAC ST_1_2_NC_2_2 0_X_2013_1000 NAC_ST_1_2_NC_2_2
0 X 2013 1000 NAC ST_1_2_NC_3 0_X_2013_1000 NAC_ST_1_2_NC_3
0 X 2013 1000 NAC ST_1_2_NC_1_3 0_X_2013_1000 NAC_ST_1_2_NC_1_3
0 X 2013 1000 NAC ST_1_2_NC_2_3 0_X_2013_1000 NAC_ST_1_2_NC_2_3
0 X 2013 1000 NAC ST_1_2_NC_4 0_X_2013_1000 NAC_ST_1_2_NC_4
0 X 2013 1000 NAC ST_1_2_NC_5 0_X_2013_1000 NAC_ST_1_2_NC_5
0 X 2013 1000 NAC ST_5_C 0_X_2013_1000 NAC_ST_5_C
0 X 2013 1000 NAC ST_5_C_1 0_X_2013_1000 NAC_ST_5_C_1
0 X 2013 1000 NAC ST_5_C_2 0_X_2013_1000 NAC_ST_5_C_2
0 X 2013 1000 NAC ST_5_NC 0_X_2013_1000 NAC_ST_5_NC
0 X 2013 1000 NAC ST_5_NC_1 0_X_2013_1000 NAC_ST_5_NC_1
0 X 2013 1000 NAC ST_5_NC_2 0_X_2013_1000 NAC_ST_5_NC_2
0 X 2013 1000 NAC ST_5_NC_3 0_X_2013_1000 NAC_ST_5_NC_3
0 X 2013 1000 NAC ST_5_NC_4 0_X_2013_1000 NAC_ST_5_NC_4
0 X 2013 1000 NAC ST_5_NC_5 0_X_2013_1000 NAC_ST_5_NC_5
0 X 2013 1000 NAC ST_5_NC_6 0_X_2013_1000 NAC_ST_5_NC_6
0 X 2013 1000 NAC ST_5_NC_7 0_X_2013_1000 NAC_ST_5_NC_7
0 EX_M 2013 1000 m3 1 0_EX_M_2013_1000 m3_1
0 EX_M 2013 1000 m3 1_1 0_EX_M_2013_1000 m3_1_1
0 EX_M 2013 1000 m3 1_2 0_EX_M_2013_1000 m3_1_2
0 EX_M 2013 1000 m3 1_2_C 0_EX_M_2013_1000 m3_1_2_C
0 EX_M 2013 1000 m3 1_2_NC 0_EX_M_2013_1000 m3_1_2_NC
0 EX_M 2013 1000 m3 1_2_NC_T 0_EX_M_2013_1000 m3_1_2_NC_T
0 EX_M 2013 1000 mt 2 0_EX_M_2013_1000 mt_2
0 EX_M 2013 1000 m3 3 0_EX_M_2013_1000 m3_3
0 EX_M 2013 1000 m3 3_1 0_EX_M_2013_1000 m3_3_1
0 EX_M 2013 1000 m3 3_2 0_EX_M_2013_1000 m3_3_2
0 EX_M 2013 1000 mt 4 0_EX_M_2013_1000 mt_4
0 EX_M 2013 1000 mt 4_1 0_EX_M_2013_1000 mt_4_1
0 EX_M 2013 1000 mt 4_2 0_EX_M_2013_1000 mt_4_2
0 EX_M 2013 1000 m3 5 0_EX_M_2013_1000 m3_5
0 EX_M 2013 1000 m3 5_C 0_EX_M_2013_1000 m3_5_C
0 EX_M 2013 1000 m3 5_NC 0_EX_M_2013_1000 m3_5_NC
0 EX_M 2013 1000 m3 5_NC_T 0_EX_M_2013_1000 m3_5_NC_T
0 EX_M 2013 1000 m3 6 0_EX_M_2013_1000 m3_6
0 EX_M 2013 1000 m3 6_1 0_EX_M_2013_1000 m3_6_1
0 EX_M 2013 1000 m3 6_1_C 0_EX_M_2013_1000 m3_6_1_C
0 EX_M 2013 1000 m3 6_1_NC 0_EX_M_2013_1000 m3_6_1_NC
0 EX_M 2013 1000 m3 6_1_NC_T 0_EX_M_2013_1000 m3_6_1_NC_T
0 EX_M 2013 1000 m3 6_2 0_EX_M_2013_1000 m3_6_2
0 EX_M 2013 1000 m3 6_2_C 0_EX_M_2013_1000 m3_6_2_C
0 EX_M 2013 1000 m3 6_2_NC 0_EX_M_2013_1000 m3_6_2_NC
0 EX_M 2013 1000 m3 6_2_NC_T 0_EX_M_2013_1000 m3_6_2_NC_T
0 EX_M 2013 1000 m3 6_3 0_EX_M_2013_1000 m3_6_3
0 EX_M 2013 1000 m3 6_3_1 0_EX_M_2013_1000 m3_6_3_1
0 EX_M 2013 1000 m3 6_4 0_EX_M_2013_1000 m3_6_4
0 EX_M 2013 1000 m3 6_4_1 0_EX_M_2013_1000 m3_6_4_1
0 EX_M 2013 1000 m3 6_4_2 0_EX_M_2013_1000 m3_6_4_2
0 EX_M 2013 1000 m3 6_4_3 0_EX_M_2013_1000 m3_6_4_3
0 EX_M 2013 1000 mt 7 0_EX_M_2013_1000 mt_7
0 EX_M 2013 1000 mt 7_1 0_EX_M_2013_1000 mt_7_1
0 EX_M 2013 1000 mt 7_2 0_EX_M_2013_1000 mt_7_2
0 EX_M 2013 1000 mt 7_3 0_EX_M_2013_1000 mt_7_3
0 EX_M 2013 1000 mt 7_3_1 0_EX_M_2013_1000 mt_7_3_1
0 EX_M 2013 1000 mt 7_3_2 0_EX_M_2013_1000 mt_7_3_2
0 EX_M 2013 1000 mt 7_3_3 0_EX_M_2013_1000 mt_7_3_3
0 EX_M 2013 1000 mt 7_3_4 0_EX_M_2013_1000 mt_7_3_4
0 EX_M 2013 1000 mt 7_4 0_EX_M_2013_1000 mt_7_4
0 EX_M 2013 1000 mt 8 0_EX_M_2013_1000 mt_8
0 EX_M 2013 1000 mt 8_1 0_EX_M_2013_1000 mt_8_1
0 EX_M 2013 1000 mt 8_2 0_EX_M_2013_1000 mt_8_2
0 EX_M 2013 1000 mt 9 0_EX_M_2013_1000 mt_9
0 EX_M 2013 1000 mt 10 0_EX_M_2013_1000 mt_10
0 EX_M 2013 1000 mt 10_1 0_EX_M_2013_1000 mt_10_1
0 EX_M 2013 1000 mt 10_1_1 0_EX_M_2013_1000 mt_10_1_1
0 EX_M 2013 1000 mt 10_1_2 0_EX_M_2013_1000 mt_10_1_2
0 EX_M 2013 1000 mt 10_1_3 0_EX_M_2013_1000 mt_10_1_3
0 EX_M 2013 1000 mt 10_1_4 0_EX_M_2013_1000 mt_10_1_4
0 EX_M 2013 1000 mt 10_2 0_EX_M_2013_1000 mt_10_2
0 EX_M 2013 1000 mt 10_3 0_EX_M_2013_1000 mt_10_3
0 EX_M 2013 1000 mt 10_3_1 0_EX_M_2013_1000 mt_10_3_1
0 EX_M 2013 1000 mt 10_3_2 0_EX_M_2013_1000 mt_10_3_2
0 EX_M 2013 1000 mt 10_3_3 0_EX_M_2013_1000 mt_10_3_3
0 EX_M 2013 1000 mt 10_3_4 0_EX_M_2013_1000 mt_10_3_4
0 EX_M 2013 1000 mt 10_4 0_EX_M_2013_1000 mt_10_4
0 EX_M 2013 1000 NAC 1 0_EX_M_2013_1000 NAC_1
0 EX_M 2013 1000 NAC 1_1 0_EX_M_2013_1000 NAC_1_1
0 EX_M 2013 1000 NAC 1_2 0_EX_M_2013_1000 NAC_1_2
0 EX_M 2013 1000 NAC 1_2_C 0_EX_M_2013_1000 NAC_1_2_C
0 EX_M 2013 1000 NAC 1_2_NC 0_EX_M_2013_1000 NAC_1_2_NC
0 EX_M 2013 1000 NAC 1_2_NC_T 0_EX_M_2013_1000 NAC_1_2_NC_T
0 EX_M 2013 1000 NAC 2 0_EX_M_2013_1000 NAC_2
0 EX_M 2013 1000 NAC 3 0_EX_M_2013_1000 NAC_3
0 EX_M 2013 1000 NAC 3_1 0_EX_M_2013_1000 NAC_3_1
0 EX_M 2013 1000 NAC 3_2 0_EX_M_2013_1000 NAC_3_2
0 EX_M 2013 1000 NAC 4 0_EX_M_2013_1000 NAC_4
0 EX_M 2013 1000 NAC 4_1 0_EX_M_2013_1000 NAC_4_1
0 EX_M 2013 1000 NAC 4_2 0_EX_M_2013_1000 NAC_4_2
0 EX_M 2013 1000 NAC 5 0_EX_M_2013_1000 NAC_5
0 EX_M 2013 1000 NAC 5_C 0_EX_M_2013_1000 NAC_5_C
0 EX_M 2013 1000 NAC 5_NC 0_EX_M_2013_1000 NAC_5_NC
0 EX_M 2013 1000 NAC 5_NC_T 0_EX_M_2013_1000 NAC_5_NC_T
0 EX_M 2013 1000 NAC 6 0_EX_M_2013_1000 NAC_6
0 EX_M 2013 1000 NAC 6_1 0_EX_M_2013_1000 NAC_6_1
0 EX_M 2013 1000 NAC 6_1_C 0_EX_M_2013_1000 NAC_6_1_C
0 EX_M 2013 1000 NAC 6_1_NC 0_EX_M_2013_1000 NAC_6_1_NC
0 EX_M 2013 1000 NAC 6_1_NC_T 0_EX_M_2013_1000 NAC_6_1_NC_T
0 EX_M 2013 1000 NAC 6_2 0_EX_M_2013_1000 NAC_6_2
0 EX_M 2013 1000 NAC 6_2_C 0_EX_M_2013_1000 NAC_6_2_C
0 EX_M 2013 1000 NAC 6_2_NC 0_EX_M_2013_1000 NAC_6_2_NC
0 EX_M 2013 1000 NAC 6_2_NC_T 0_EX_M_2013_1000 NAC_6_2_NC_T
0 EX_M 2013 1000 NAC 6_3 0_EX_M_2013_1000 NAC_6_3
0 EX_M 2013 1000 NAC 6_3_1 0_EX_M_2013_1000 NAC_6_3_1
0 EX_M 2013 1000 NAC 6_4 0_EX_M_2013_1000 NAC_6_4
0 EX_M 2013 1000 NAC 6_4_1 0_EX_M_2013_1000 NAC_6_4_1
0 EX_M 2013 1000 NAC 6_4_2 0_EX_M_2013_1000 NAC_6_4_2
0 EX_M 2013 1000 NAC 6_4_3 0_EX_M_2013_1000 NAC_6_4_3
0 EX_M 2013 1000 NAC 7 0_EX_M_2013_1000 NAC_7
0 EX_M 2013 1000 NAC 7_1 0_EX_M_2013_1000 NAC_7_1
0 EX_M 2013 1000 NAC 7_2 0_EX_M_2013_1000 NAC_7_2
0 EX_M 2013 1000 NAC 7_3 0_EX_M_2013_1000 NAC_7_3
0 EX_M 2013 1000 NAC 7_3_1 0_EX_M_2013_1000 NAC_7_3_1
0 EX_M 2013 1000 NAC 7_3_2 0_EX_M_2013_1000 NAC_7_3_2
0 EX_M 2013 1000 NAC 7_3_3 0_EX_M_2013_1000 NAC_7_3_3
0 EX_M 2013 1000 NAC 7_3_4 0_EX_M_2013_1000 NAC_7_3_4
0 EX_M 2013 1000 NAC 7_4 0_EX_M_2013_1000 NAC_7_4
0 EX_M 2013 1000 NAC 8 0_EX_M_2013_1000 NAC_8
0 EX_M 2013 1000 NAC 8_1 0_EX_M_2013_1000 NAC_8_1
0 EX_M 2013 1000 NAC 8_2 0_EX_M_2013_1000 NAC_8_2
0 EX_M 2013 1000 NAC 9 0_EX_M_2013_1000 NAC_9
0 EX_M 2013 1000 NAC 10 0_EX_M_2013_1000 NAC_10
0 EX_M 2013 1000 NAC 10_1 0_EX_M_2013_1000 NAC_10_1
0 EX_M 2013 1000 NAC 10_1_1 0_EX_M_2013_1000 NAC_10_1_1
0 EX_M 2013 1000 NAC 10_1_2 0_EX_M_2013_1000 NAC_10_1_2
0 EX_M 2013 1000 NAC 10_1_3 0_EX_M_2013_1000 NAC_10_1_3
0 EX_M 2013 1000 NAC 10_1_4 0_EX_M_2013_1000 NAC_10_1_4
0 EX_M 2013 1000 NAC 10_2 0_EX_M_2013_1000 NAC_10_2
0 EX_M 2013 1000 NAC 10_3 0_EX_M_2013_1000 NAC_10_3
0 EX_M 2013 1000 NAC 10_3_1 0_EX_M_2013_1000 NAC_10_3_1
0 EX_M 2013 1000 NAC 10_3_2 0_EX_M_2013_1000 NAC_10_3_2
0 EX_M 2013 1000 NAC 10_3_3 0_EX_M_2013_1000 NAC_10_3_3
0 EX_M 2013 1000 NAC 10_3_4 0_EX_M_2013_1000 NAC_10_3_4
0 EX_M 2013 1000 NAC 10_4 0_EX_M_2013_1000 NAC_10_4
0 EX_X 2013 1000 m3 1 0_EX_X_2013_1000 m3_1
0 EX_X 2013 1000 m3 1_1 0_EX_X_2013_1000 m3_1_1
0 EX_X 2013 1000 m3 1_2 0_EX_X_2013_1000 m3_1_2
0 EX_X 2013 1000 m3 1_2_C 0_EX_X_2013_1000 m3_1_2_C
0 EX_X 2013 1000 m3 1_2_NC 0_EX_X_2013_1000 m3_1_2_NC
0 EX_X 2013 1000 m3 1_2_NC_T 0_EX_X_2013_1000 m3_1_2_NC_T
0 EX_X 2013 1000 mt 2 0_EX_X_2013_1000 mt_2
0 EX_X 2013 1000 m3 3 0_EX_X_2013_1000 m3_3
0 EX_X 2013 1000 m3 3_1 0_EX_X_2013_1000 m3_3_1
0 EX_X 2013 1000 m3 3_2 0_EX_X_2013_1000 m3_3_2
0 EX_X 2013 1000 mt 4 0_EX_X_2013_1000 mt_4
0 EX_X 2013 1000 mt 4_1 0_EX_X_2013_1000 mt_4_1
0 EX_X 2013 1000 mt 4_2 0_EX_X_2013_1000 mt_4_2
0 EX_X 2013 1000 m3 5 0_EX_X_2013_1000 m3_5
0 EX_X 2013 1000 m3 5_C 0_EX_X_2013_1000 m3_5_C
0 EX_X 2013 1000 m3 5_NC 0_EX_X_2013_1000 m3_5_NC
0 EX_X 2013 1000 m3 5_NC_T 0_EX_X_2013_1000 m3_5_NC_T
0 EX_X 2013 1000 m3 6 0_EX_X_2013_1000 m3_6
0 EX_X 2013 1000 m3 6_1 0_EX_X_2013_1000 m3_6_1
0 EX_X 2013 1000 m3 6_1_C 0_EX_X_2013_1000 m3_6_1_C
0 EX_X 2013 1000 m3 6_1_NC 0_EX_X_2013_1000 m3_6_1_NC
0 EX_X 2013 1000 m3 6_1_NC_T 0_EX_X_2013_1000 m3_6_1_NC_T
0 EX_X 2013 1000 m3 6_2 0_EX_X_2013_1000 m3_6_2
0 EX_X 2013 1000 m3 6_2_C 0_EX_X_2013_1000 m3_6_2_C
0 EX_X 2013 1000 m3 6_2_NC 0_EX_X_2013_1000 m3_6_2_NC
0 EX_X 2013 1000 m3 6_2_NC_T 0_EX_X_2013_1000 m3_6_2_NC_T
0 EX_X 2013 1000 m3 6_3 0_EX_X_2013_1000 m3_6_3
0 EX_X 2013 1000 m3 6_3_1 0_EX_X_2013_1000 m3_6_3_1
0 EX_X 2013 1000 m3 6_4 0_EX_X_2013_1000 m3_6_4
0 EX_X 2013 1000 m3 6_4_1 0_EX_X_2013_1000 m3_6_4_1
0 EX_X 2013 1000 m3 6_4_2 0_EX_X_2013_1000 m3_6_4_2
0 EX_X 2013 1000 m3 6_4_3 0_EX_X_2013_1000 m3_6_4_3
0 EX_X 2013 1000 mt 7 0_EX_X_2013_1000 mt_7
0 EX_X 2013 1000 mt 7_1 0_EX_X_2013_1000 mt_7_1
0 EX_X 2013 1000 mt 7_2 0_EX_X_2013_1000 mt_7_2
0 EX_X 2013 1000 mt 7_3 0_EX_X_2013_1000 mt_7_3
0 EX_X 2013 1000 mt 7_3_1 0_EX_X_2013_1000 mt_7_3_1
0 EX_X 2013 1000 mt 7_3_2 0_EX_X_2013_1000 mt_7_3_2
0 EX_X 2013 1000 mt 7_3_3 0_EX_X_2013_1000 mt_7_3_3
0 EX_X 2013 1000 mt 7_3_4 0_EX_X_2013_1000 mt_7_3_4
0 EX_X 2013 1000 mt 7_4 0_EX_X_2013_1000 mt_7_4
0 EX_X 2013 1000 mt 8 0_EX_X_2013_1000 mt_8
0 EX_X 2013 1000 mt 8_1 0_EX_X_2013_1000 mt_8_1
0 EX_X 2013 1000 mt 8_2 0_EX_X_2013_1000 mt_8_2
0 EX_X 2013 1000 mt 9 0_EX_X_2013_1000 mt_9
0 EX_X 2013 1000 mt 10 0_EX_X_2013_1000 mt_10
0 EX_X 2013 1000 mt 10_1 0_EX_X_2013_1000 mt_10_1
0 EX_X 2013 1000 mt 10_1_1 0_EX_X_2013_1000 mt_10_1_1
0 EX_X 2013 1000 mt 10_1_2 0_EX_X_2013_1000 mt_10_1_2
0 EX_X 2013 1000 mt 10_1_3 0_EX_X_2013_1000 mt_10_1_3
0 EX_X 2013 1000 mt 10_1_4 0_EX_X_2013_1000 mt_10_1_4
0 EX_X 2013 1000 mt 10_2 0_EX_X_2013_1000 mt_10_2
0 EX_X 2013 1000 mt 10_3 0_EX_X_2013_1000 mt_10_3
0 EX_X 2013 1000 mt 10_3_1 0_EX_X_2013_1000 mt_10_3_1
0 EX_X 2013 1000 mt 10_3_2 0_EX_X_2013_1000 mt_10_3_2
0 EX_X 2013 1000 mt 10_3_3 0_EX_X_2013_1000 mt_10_3_3
0 EX_X 2013 1000 mt 10_3_4 0_EX_X_2013_1000 mt_10_3_4
0 EX_X 2013 1000 mt 10_4 0_EX_X_2013_1000 mt_10_4
0 EX_X 2013 1000 NAC 1 0_EX_X_2013_1000 NAC_1
0 EX_X 2013 1000 NAC 1_1 0_EX_X_2013_1000 NAC_1_1
0 EX_X 2013 1000 NAC 1_2 0_EX_X_2013_1000 NAC_1_2
0 EX_X 2013 1000 NAC 1_2_C 0_EX_X_2013_1000 NAC_1_2_C
0 EX_X 2013 1000 NAC 1_2_NC 0_EX_X_2013_1000 NAC_1_2_NC
0 EX_X 2013 1000 NAC 1_2_NC_T 0_EX_X_2013_1000 NAC_1_2_NC_T
0 EX_X 2013 1000 NAC 2 0_EX_X_2013_1000 NAC_2
0 EX_X 2013 1000 NAC 3 0_EX_X_2013_1000 NAC_3
0 EX_X 2013 1000 NAC 3_1 0_EX_X_2013_1000 NAC_3_1
0 EX_X 2013 1000 NAC 3_2 0_EX_X_2013_1000 NAC_3_2
0 EX_X 2013 1000 NAC 4 0_EX_X_2013_1000 NAC_4
0 EX_X 2013 1000 NAC 4_1 0_EX_X_2013_1000 NAC_4_1
0 EX_X 2013 1000 NAC 4_2 0_EX_X_2013_1000 NAC_4_2
0 EX_X 2013 1000 NAC 5 0_EX_X_2013_1000 NAC_5
0 EX_X 2013 1000 NAC 5_C 0_EX_X_2013_1000 NAC_5_C
0 EX_X 2013 1000 NAC 5_NC 0_EX_X_2013_1000 NAC_5_NC
0 EX_X 2013 1000 NAC 5_NC_T 0_EX_X_2013_1000 NAC_5_NC_T
0 EX_X 2013 1000 NAC 6 0_EX_X_2013_1000 NAC_6
0 EX_X 2013 1000 NAC 6_1 0_EX_X_2013_1000 NAC_6_1
0 EX_X 2013 1000 NAC 6_1_C 0_EX_X_2013_1000 NAC_6_1_C
0 EX_X 2013 1000 NAC 6_1_NC 0_EX_X_2013_1000 NAC_6_1_NC
0 EX_X 2013 1000 NAC 6_1_NC_T 0_EX_X_2013_1000 NAC_6_1_NC_T
0 EX_X 2013 1000 NAC 6_2 0_EX_X_2013_1000 NAC_6_2
0 EX_X 2013 1000 NAC 6_2_C 0_EX_X_2013_1000 NAC_6_2_C
0 EX_X 2013 1000 NAC 6_2_NC 0_EX_X_2013_1000 NAC_6_2_NC
0 EX_X 2013 1000 NAC 6_2_NC_T 0_EX_X_2013_1000 NAC_6_2_NC_T
0 EX_X 2013 1000 NAC 6_3 0_EX_X_2013_1000 NAC_6_3
0 EX_X 2013 1000 NAC 6_3_1 0_EX_X_2013_1000 NAC_6_3_1
0 EX_X 2013 1000 NAC 6_4 0_EX_X_2013_1000 NAC_6_4
0 EX_X 2013 1000 NAC 6_4_1 0_EX_X_2013_1000 NAC_6_4_1
0 EX_X 2013 1000 NAC 6_4_2 0_EX_X_2013_1000 NAC_6_4_2
0 EX_X 2013 1000 NAC 6_4_3 0_EX_X_2013_1000 NAC_6_4_3
0 EX_X 2013 1000 NAC 7 0_EX_X_2013_1000 NAC_7
0 EX_X 2013 1000 NAC 7_1 0_EX_X_2013_1000 NAC_7_1
0 EX_X 2013 1000 NAC 7_2 0_EX_X_2013_1000 NAC_7_2
0 EX_X 2013 1000 NAC 7_3 0_EX_X_2013_1000 NAC_7_3
0 EX_X 2013 1000 NAC 7_3_1 0_EX_X_2013_1000 NAC_7_3_1
0 EX_X 2013 1000 NAC 7_3_2 0_EX_X_2013_1000 NAC_7_3_2
0 EX_X 2013 1000 NAC 7_3_3 0_EX_X_2013_1000 NAC_7_3_3
0 EX_X 2013 1000 NAC 7_3_4 0_EX_X_2013_1000 NAC_7_3_4
0 EX_X 2013 1000 NAC 7_4 0_EX_X_2013_1000 NAC_7_4
0 EX_X 2013 1000 NAC 8 0_EX_X_2013_1000 NAC_8
0 EX_X 2013 1000 NAC 8_1 0_EX_X_2013_1000 NAC_8_1
0 EX_X 2013 1000 NAC 8_2 0_EX_X_2013_1000 NAC_8_2
0 EX_X 2013 1000 NAC 9 0_EX_X_2013_1000 NAC_9
0 EX_X 2013 1000 NAC 10 0_EX_X_2013_1000 NAC_10
0 EX_X 2013 1000 NAC 10_1 0_EX_X_2013_1000 NAC_10_1
0 EX_X 2013 1000 NAC 10_1_1 0_EX_X_2013_1000 NAC_10_1_1
0 EX_X 2013 1000 NAC 10_1_2 0_EX_X_2013_1000 NAC_10_1_2
0 EX_X 2013 1000 NAC 10_1_3 0_EX_X_2013_1000 NAC_10_1_3
0 EX_X 2013 1000 NAC 10_1_4 0_EX_X_2013_1000 NAC_10_1_4
0 EX_X 2013 1000 NAC 10_2 0_EX_X_2013_1000 NAC_10_2
0 EX_X 2013 1000 NAC 10_3 0_EX_X_2013_1000 NAC_10_3
0 EX_X 2013 1000 NAC 10_3_1 0_EX_X_2013_1000 NAC_10_3_1
0 EX_X 2013 1000 NAC 10_3_2 0_EX_X_2013_1000 NAC_10_3_2
0 EX_X 2013 1000 NAC 10_3_3 0_EX_X_2013_1000 NAC_10_3_3
0 EX_X 2013 1000 NAC 10_3_4 0_EX_X_2013_1000 NAC_10_3_4
0 EX_X 2013 1000 NAC 10_4 0_EX_X_2013_1000 NAC_10_4
0 P 2013 1000 m3 EU2_1 0_P_2013_1000 m3_EU2_1
0 P 2013 1000 m3 EU2_1_C 0_P_2013_1000 m3_EU2_1_C
0 P 2013 1000 m3 EU2_1_NC 0_P_2013_1000 m3_EU2_1_NC
0 P 2013 1000 m3 EU2_1_1 0_P_2013_1000 m3_EU2_1_1
0 P 2013 1000 m3 EU2_1_1_C 0_P_2013_1000 m3_EU2_1_1_C
0 P 2013 1000 m3 EU2_1_1_NC 0_P_2013_1000 m3_EU2_1_1_NC
0 P 2013 1000 m3 EU2_1_2 0_P_2013_1000 m3_EU2_1_2
0 P 2013 1000 m3 EU2_1_2_C 0_P_2013_1000 m3_EU2_1_2_C
0 P 2013 1000 m3 EU2_1_2_NC 0_P_2013_1000 m3_EU2_1_2_NC
0 P 2013 1000 m3 EU2_1_3 0_P_2013_1000 m3_EU2_1_3
0 P 2013 1000 m3 EU2_1_3_C 0_P_2013_1000 m3_EU2_1_3_C
0 P 2013 1000 m3 EU2_1_3_NC 0_P_2013_1000 m3_EU2_1_3_NC
0 P.OB 2013 1000 m3 1 0_P.OB_2013_1000 m3_1
0 P.OB 2013 1000 m3 1_C 0_P.OB_2013_1000 m3_1_C
0 P.OB 2013 1000 m3 1_NC 0_P.OB_2013_1000 m3_1_NC
0 P.OB 2013 1000 m3 1_1 0_P.OB_2013_1000 m3_1_1
0 P.OB 2013 1000 m3 1_1_C 0_P.OB_2013_1000 m3_1_1_C
0 P.OB 2013 1000 m3 1_1_NC 0_P.OB_2013_1000 m3_1_1_NC
0 P.OB 2013 1000 m3 1_2 0_P.OB_2013_1000 m3_1_2
0 P.OB 2013 1000 m3 1_2_C 0_P.OB_2013_1000 m3_1_2_C
0 P.OB 2013 1000 m3 1_2_NC 0_P.OB_2013_1000 m3_1_2_NC
0 P.OB 2013 1000 m3 1_2_1 0_P.OB_2013_1000 m3_1_2_1
0 P.OB 2013 1000 m3 1_2_1_C 0_P.OB_2013_1000 m3_1_2_1_C
0 P.OB 2013 1000 m3 1_2_1_NC 0_P.OB_2013_1000 m3_1_2_1_NC
0 P.OB 2013 1000 m3 1_2_2 0_P.OB_2013_1000 m3_1_2_2
0 P.OB 2013 1000 m3 1_2_2_C 0_P.OB_2013_1000 m3_1_2_2_C
0 P.OB 2013 1000 m3 1_2_2_NC 0_P.OB_2013_1000 m3_1_2_2_NC
0 P.OB 2013 1000 m3 1_2_3 0_P.OB_2013_1000 m3_1_2_3
0 P.OB 2013 1000 m3 1_2_3_C 0_P.OB_2013_1000 m3_1_2_3_C
0 P.OB 2013 1000 m3 1_2_3_NC 0_P.OB_2013_1000 m3_1_2_3_NC
0 P 2012 1000 m3 1 0_P_2012_1000 m3_1
0 P 2012 1000 m3 1_C 0_P_2012_1000 m3_1_C
0 P 2012 1000 m3 1_NC 0_P_2012_1000 m3_1_NC
0 P 2012 1000 m3 1_1 0_P_2012_1000 m3_1_1
0 P 2012 1000 m3 1_1_C 0_P_2012_1000 m3_1_1_C
0 P 2012 1000 m3 1_1_NC 0_P_2012_1000 m3_1_1_NC
0 P 2012 1000 m3 1_2 0_P_2012_1000 m3_1_2
0 P 2012 1000 m3 1_2_C 0_P_2012_1000 m3_1_2_C
0 P 2012 1000 m3 1_2_NC 0_P_2012_1000 m3_1_2_NC
0 P 2012 1000 m3 1_2_1 0_P_2012_1000 m3_1_2_1
0 P 2012 1000 m3 1_2_1_C 0_P_2012_1000 m3_1_2_1_C
0 P 2012 1000 m3 1_2_1_NC 0_P_2012_1000 m3_1_2_1_NC
0 P 2012 1000 m3 1_2_2 0_P_2012_1000 m3_1_2_2
0 P 2012 1000 m3 1_2_2_C 0_P_2012_1000 m3_1_2_2_C
0 P 2012 1000 m3 1_2_2_NC 0_P_2012_1000 m3_1_2_2_NC
0 P 2012 1000 m3 1_2_3 0_P_2012_1000 m3_1_2_3
0 P 2012 1000 m3 1_2_3_C 0_P_2012_1000 m3_1_2_3_C
0 P 2012 1000 m3 1_2_3_NC 0_P_2012_1000 m3_1_2_3_NC
0 P 2012 1000 mt 2 0_P_2012_1000 mt_2
0 P 2012 1000 m3 3 0_P_2012_1000 m3_3
0 P 2012 1000 m3 3_1 0_P_2012_1000 m3_3_1
0 P 2012 1000 m3 3_2 0_P_2012_1000 m3_3_2
0 P 2012 1000 mt 4 0_P_2012_1000 mt_4
0 P 2012 1000 mt 4_1 0_P_2012_1000 mt_4_1
0 P 2012 1000 mt 4_2 0_P_2012_1000 mt_4_2
0 P 2012 1000 m3 5 0_P_2012_1000 m3_5
0 P 2012 1000 m3 5_C 0_P_2012_1000 m3_5_C
0 P 2012 1000 m3 5_NC 0_P_2012_1000 m3_5_NC
0 P 2012 1000 m3 5_NC_T 0_P_2012_1000 m3_5_NC_T
0 P 2012 1000 m3 6 0_P_2012_1000 m3_6
0 P 2012 1000 m3 6_1 0_P_2012_1000 m3_6_1
0 P 2012 1000 m3 6_1_C 0_P_2012_1000 m3_6_1_C
0 P 2012 1000 m3 6_1_NC 0_P_2012_1000 m3_6_1_NC
0 P 2012 1000 m3 6_1_NC_T 0_P_2012_1000 m3_6_1_NC_T
0 P 2012 1000 m3 6_2 0_P_2012_1000 m3_6_2
0 P 2012 1000 m3 6_2_C 0_P_2012_1000 m3_6_2_C
0 P 2012 1000 m3 6_2_NC 0_P_2012_1000 m3_6_2_NC
0 P 2012 1000 m3 6_2_NC_T 0_P_2012_1000 m3_6_2_NC_T
0 P 2012 1000 m3 6_3 0_P_2012_1000 m3_6_3
0 P 2012 1000 m3 6_3_1 0_P_2012_1000 m3_6_3_1
0 P 2012 1000 m3 6_4 0_P_2012_1000 m3_6_4
0 P 2012 1000 m3 6_4_1 0_P_2012_1000 m3_6_4_1
0 P 2012 1000 m3 6_4_2 0_P_2012_1000 m3_6_4_2
0 P 2012 1000 m3 6_4_3 0_P_2012_1000 m3_6_4_3
0 P 2012 1000 mt 7 0_P_2012_1000 mt_7
0 P 2012 1000 mt 7_1 0_P_2012_1000 mt_7_1
0 P 2012 1000 mt 7_2 0_P_2012_1000 mt_7_2
0 P 2012 1000 mt 7_3 0_P_2012_1000 mt_7_3
0 P 2012 1000 mt 7_3_1 0_P_2012_1000 mt_7_3_1
0 P 2012 1000 mt 7_3_2 0_P_2012_1000 mt_7_3_2
0 P 2012 1000 mt 7_3_3 0_P_2012_1000 mt_7_3_3
0 P 2012 1000 mt 7_3_4 0_P_2012_1000 mt_7_3_4
0 P 2012 1000 mt 7_4 0_P_2012_1000 mt_7_4
0 P 2012 1000 mt 8 0_P_2012_1000 mt_8
0 P 2012 1000 mt 8_1 0_P_2012_1000 mt_8_1
0 P 2012 1000 mt 8_2 0_P_2012_1000 mt_8_2
0 P 2012 1000 mt 9 0_P_2012_1000 mt_9
0 P 2012 1000 mt 10 0_P_2012_1000 mt_10
0 P 2012 1000 mt 10_1 0_P_2012_1000 mt_10_1
0 P 2012 1000 mt 10_1_1 0_P_2012_1000 mt_10_1_1
0 P 2012 1000 mt 10_1_2 0_P_2012_1000 mt_10_1_2
0 P 2012 1000 mt 10_1_3 0_P_2012_1000 mt_10_1_3
0 P 2012 1000 mt 10_1_4 0_P_2012_1000 mt_10_1_4
0 P 2012 1000 mt 10_2 0_P_2012_1000 mt_10_2
0 P 2012 1000 mt 10_3 0_P_2012_1000 mt_10_3
0 P 2012 1000 mt 10_3_1 0_P_2012_1000 mt_10_3_1
0 P 2012 1000 mt 10_3_2 0_P_2012_1000 mt_10_3_2
0 P 2012 1000 mt 10_3_3 0_P_2012_1000 mt_10_3_3
0 P 2012 1000 mt 10_3_4 0_P_2012_1000 mt_10_3_4
0 P 2012 1000 mt 10_4 0_P_2012_1000 mt_10_4
0 M 2012 1000 m3 1 0_M_2012_1000 m3_1
0 M 2012 1000 m3 1_1 0_M_2012_1000 m3_1_1
0 M 2012 1000 m3 1_2 0_M_2012_1000 m3_1_2
0 M 2012 1000 m3 1_2_C 0_M_2012_1000 m3_1_2_C
0 M 2012 1000 m3 1_2_NC 0_M_2012_1000 m3_1_2_NC
0 M 2012 1000 m3 1_2_NC_T 0_M_2012_1000 m3_1_2_NC_T
0 M 2012 1000 mt 2 0_M_2012_1000 mt_2
0 M 2012 1000 m3 3 0_M_2012_1000 m3_3
0 M 2012 1000 m3 3_1 0_M_2012_1000 m3_3_1
0 M 2012 1000 m3 3_2 0_M_2012_1000 m3_3_2
0 M 2012 1000 mt 4 0_M_2012_1000 mt_4
0 M 2012 1000 mt 4_1 0_M_2012_1000 mt_4_1
0 M 2012 1000 mt 4_2 0_M_2012_1000 mt_4_2
0 M 2012 1000 m3 5 0_M_2012_1000 m3_5
0 M 2012 1000 m3 5_C 0_M_2012_1000 m3_5_C
0 M 2012 1000 m3 5_NC 0_M_2012_1000 m3_5_NC
0 M 2012 1000 m3 5_NC_T 0_M_2012_1000 m3_5_NC_T
0 M 2012 1000 m3 6 0_M_2012_1000 m3_6
0 M 2012 1000 m3 6_1 0_M_2012_1000 m3_6_1
0 M 2012 1000 m3 6_1_C 0_M_2012_1000 m3_6_1_C
0 M 2012 1000 m3 6_1_NC 0_M_2012_1000 m3_6_1_NC
0 M 2012 1000 m3 6_1_NC_T 0_M_2012_1000 m3_6_1_NC_T
0 M 2012 1000 m3 6_2 0_M_2012_1000 m3_6_2
0 M 2012 1000 m3 6_2_C 0_M_2012_1000 m3_6_2_C
0 M 2012 1000 m3 6_2_NC 0_M_2012_1000 m3_6_2_NC
0 M 2012 1000 m3 6_2_NC_T 0_M_2012_1000 m3_6_2_NC_T
0 M 2012 1000 m3 6_3 0_M_2012_1000 m3_6_3
0 M 2012 1000 m3 6_3_1 0_M_2012_1000 m3_6_3_1
0 M 2012 1000 m3 6_4 0_M_2012_1000 m3_6_4
0 M 2012 1000 m3 6_4_1 0_M_2012_1000 m3_6_4_1
0 M 2012 1000 m3 6_4_2 0_M_2012_1000 m3_6_4_2
0 M 2012 1000 m3 6_4_3 0_M_2012_1000 m3_6_4_3
0 M 2012 1000 mt 7 0_M_2012_1000 mt_7
0 M 2012 1000 mt 7_1 0_M_2012_1000 mt_7_1
0 M 2012 1000 mt 7_2 0_M_2012_1000 mt_7_2
0 M 2012 1000 mt 7_3 0_M_2012_1000 mt_7_3
0 M 2012 1000 mt 7_3_1 0_M_2012_1000 mt_7_3_1
0 M 2012 1000 mt 7_3_2 0_M_2012_1000 mt_7_3_2
0 M 2012 1000 mt 7_3_3 0_M_2012_1000 mt_7_3_3
0 M 2012 1000 mt 7_3_4 0_M_2012_1000 mt_7_3_4
0 M 2012 1000 mt 7_4 0_M_2012_1000 mt_7_4
0 M 2012 1000 mt 8 0_M_2012_1000 mt_8
0 M 2012 1000 mt 8_1 0_M_2012_1000 mt_8_1
0 M 2012 1000 mt 8_2 0_M_2012_1000 mt_8_2
0 M 2012 1000 mt 9 0_M_2012_1000 mt_9
0 M 2012 1000 mt 10 0_M_2012_1000 mt_10
0 M 2012 1000 mt 10_1 0_M_2012_1000 mt_10_1
0 M 2012 1000 mt 10_1_1 0_M_2012_1000 mt_10_1_1
0 M 2012 1000 mt 10_1_2 0_M_2012_1000 mt_10_1_2
0 M 2012 1000 mt 10_1_3 0_M_2012_1000 mt_10_1_3
0 M 2012 1000 mt 10_1_4 0_M_2012_1000 mt_10_1_4
0 M 2012 1000 mt 10_2 0_M_2012_1000 mt_10_2
0 M 2012 1000 mt 10_3 0_M_2012_1000 mt_10_3
0 M 2012 1000 mt 10_3_1 0_M_2012_1000 mt_10_3_1
0 M 2012 1000 mt 10_3_2 0_M_2012_1000 mt_10_3_2
0 M 2012 1000 mt 10_3_3 0_M_2012_1000 mt_10_3_3
0 M 2012 1000 mt 10_3_4 0_M_2012_1000 mt_10_3_4
0 M 2012 1000 mt 10_4 0_M_2012_1000 mt_10_4
0 M 2012 1000 NAC 1 0_M_2012_1000 NAC_1
0 M 2012 1000 NAC 1_1 0_M_2012_1000 NAC_1_1
0 M 2012 1000 NAC 1_2 0_M_2012_1000 NAC_1_2
0 M 2012 1000 NAC 1_2_C 0_M_2012_1000 NAC_1_2_C
0 M 2012 1000 NAC 1_2_NC 0_M_2012_1000 NAC_1_2_NC
0 M 2012 1000 NAC 1_2_NC_T 0_M_2012_1000 NAC_1_2_NC_T
0 M 2012 1000 NAC 2 0_M_2012_1000 NAC_2
0 M 2012 1000 NAC 3 0_M_2012_1000 NAC_3
0 M 2012 1000 NAC 3_1 0_M_2012_1000 NAC_3_1
0 M 2012 1000 NAC 3_2 0_M_2012_1000 NAC_3_2
0 M 2012 1000 NAC 4 0_M_2012_1000 NAC_4
0 M 2012 1000 NAC 4_1 0_M_2012_1000 NAC_4_1
0 M 2012 1000 NAC 4_2 0_M_2012_1000 NAC_4_2
0 M 2012 1000 NAC 5 0_M_2012_1000 NAC_5
0 M 2012 1000 NAC 5_C 0_M_2012_1000 NAC_5_C
0 M 2012 1000 NAC 5_NC 0_M_2012_1000 NAC_5_NC
0 M 2012 1000 NAC 5_NC_T 0_M_2012_1000 NAC_5_NC_T
0 M 2012 1000 NAC 6 0_M_2012_1000 NAC_6
0 M 2012 1000 NAC 6_1 0_M_2012_1000 NAC_6_1
0 M 2012 1000 NAC 6_1_C 0_M_2012_1000 NAC_6_1_C
0 M 2012 1000 NAC 6_1_NC 0_M_2012_1000 NAC_6_1_NC
0 M 2012 1000 NAC 6_1_NC_T 0_M_2012_1000 NAC_6_1_NC_T
0 M 2012 1000 NAC 6_2 0_M_2012_1000 NAC_6_2
0 M 2012 1000 NAC 6_2_C 0_M_2012_1000 NAC_6_2_C
0 M 2012 1000 NAC 6_2_NC 0_M_2012_1000 NAC_6_2_NC
0 M 2012 1000 NAC 6_2_NC_T 0_M_2012_1000 NAC_6_2_NC_T
0 M 2012 1000 NAC 6_3 0_M_2012_1000 NAC_6_3
0 M 2012 1000 NAC 6_3_1 0_M_2012_1000 NAC_6_3_1
0 M 2012 1000 NAC 6_4 0_M_2012_1000 NAC_6_4
0 M 2012 1000 NAC 6_4_1 0_M_2012_1000 NAC_6_4_1
0 M 2012 1000 NAC 6_4_2 0_M_2012_1000 NAC_6_4_2
0 M 2012 1000 NAC 6_4_3 0_M_2012_1000 NAC_6_4_3
0 M 2012 1000 NAC 7 0_M_2012_1000 NAC_7
0 M 2012 1000 NAC 7_1 0_M_2012_1000 NAC_7_1
0 M 2012 1000 NAC 7_2 0_M_2012_1000 NAC_7_2
0 M 2012 1000 NAC 7_3 0_M_2012_1000 NAC_7_3
0 M 2012 1000 NAC 7_3_1 0_M_2012_1000 NAC_7_3_1
0 M 2012 1000 NAC 7_3_2 0_M_2012_1000 NAC_7_3_2
0 M 2012 1000 NAC 7_3_3 0_M_2012_1000 NAC_7_3_3
0 M 2012 1000 NAC 7_3_4 0_M_2012_1000 NAC_7_3_4
0 M 2012 1000 NAC 7_4 0_M_2012_1000 NAC_7_4
0 M 2012 1000 NAC 8 0_M_2012_1000 NAC_8
0 M 2012 1000 NAC 8_1 0_M_2012_1000 NAC_8_1
0 M 2012 1000 NAC 8_2 0_M_2012_1000 NAC_8_2
0 M 2012 1000 NAC 9 0_M_2012_1000 NAC_9
0 M 2012 1000 NAC 10 0_M_2012_1000 NAC_10
0 M 2012 1000 NAC 10_1 0_M_2012_1000 NAC_10_1
0 M 2012 1000 NAC 10_1_1 0_M_2012_1000 NAC_10_1_1
0 M 2012 1000 NAC 10_1_2 0_M_2012_1000 NAC_10_1_2
0 M 2012 1000 NAC 10_1_3 0_M_2012_1000 NAC_10_1_3
0 M 2012 1000 NAC 10_1_4 0_M_2012_1000 NAC_10_1_4
0 M 2012 1000 NAC 10_2 0_M_2012_1000 NAC_10_2
0 M 2012 1000 NAC 10_3 0_M_2012_1000 NAC_10_3
0 M 2012 1000 NAC 10_3_1 0_M_2012_1000 NAC_10_3_1
0 M 2012 1000 NAC 10_3_2 0_M_2012_1000 NAC_10_3_2
0 M 2012 1000 NAC 10_3_3 0_M_2012_1000 NAC_10_3_3
0 M 2012 1000 NAC 10_3_4 0_M_2012_1000 NAC_10_3_4
0 M 2012 1000 NAC 10_4 0_M_2012_1000 NAC_10_4
0 X 2012 1000 m3 1 0_X_2012_1000 m3_1
0 X 2012 1000 m3 1_1 0_X_2012_1000 m3_1_1
0 X 2012 1000 m3 1_2 0_X_2012_1000 m3_1_2
0 X 2012 1000 m3 1_2_C 0_X_2012_1000 m3_1_2_C
0 X 2012 1000 m3 1_2_NC 0_X_2012_1000 m3_1_2_NC
0 X 2012 1000 m3 1_2_NC_T 0_X_2012_1000 m3_1_2_NC_T
0 X 2012 1000 mt 2 0_X_2012_1000 mt_2
0 X 2012 1000 m3 3 0_X_2012_1000 m3_3
0 X 2012 1000 m3 3_1 0_X_2012_1000 m3_3_1
0 X 2012 1000 m3 3_2 0_X_2012_1000 m3_3_2
0 X 2012 1000 mt 4 0_X_2012_1000 mt_4
0 X 2012 1000 mt 4_1 0_X_2012_1000 mt_4_1
0 X 2012 1000 mt 4_2 0_X_2012_1000 mt_4_2
0 X 2012 1000 m3 5 0_X_2012_1000 m3_5
0 X 2012 1000 m3 5_C 0_X_2012_1000 m3_5_C
0 X 2012 1000 m3 5_NC 0_X_2012_1000 m3_5_NC
0 X 2012 1000 m3 5_NC_T 0_X_2012_1000 m3_5_NC_T
0 X 2012 1000 m3 6 0_X_2012_1000 m3_6
0 X 2012 1000 m3 6_1 0_X_2012_1000 m3_6_1
0 X 2012 1000 m3 6_1_C 0_X_2012_1000 m3_6_1_C
0 X 2012 1000 m3 6_1_NC 0_X_2012_1000 m3_6_1_NC
0 X 2012 1000 m3 6_1_NC_T 0_X_2012_1000 m3_6_1_NC_T
0 X 2012 1000 m3 6_2 0_X_2012_1000 m3_6_2
0 X 2012 1000 m3 6_2_C 0_X_2012_1000 m3_6_2_C
0 X 2012 1000 m3 6_2_NC 0_X_2012_1000 m3_6_2_NC
0 X 2012 1000 m3 6_2_NC_T 0_X_2012_1000 m3_6_2_NC_T
0 X 2012 1000 m3 6_3 0_X_2012_1000 m3_6_3
0 X 2012 1000 m3 6_3_1 0_X_2012_1000 m3_6_3_1
0 X 2012 1000 m3 6_4 0_X_2012_1000 m3_6_4
0 X 2012 1000 m3 6_4_1 0_X_2012_1000 m3_6_4_1
0 X 2012 1000 m3 6_4_2 0_X_2012_1000 m3_6_4_2
0 X 2012 1000 m3 6_4_3 0_X_2012_1000 m3_6_4_3
0 X 2012 1000 mt 7 0_X_2012_1000 mt_7
0 X 2012 1000 mt 7_1 0_X_2012_1000 mt_7_1
0 X 2012 1000 mt 7_2 0_X_2012_1000 mt_7_2
0 X 2012 1000 mt 7_3 0_X_2012_1000 mt_7_3
0 X 2012 1000 mt 7_3_1 0_X_2012_1000 mt_7_3_1
0 X 2012 1000 mt 7_3_2 0_X_2012_1000 mt_7_3_2
0 X 2012 1000 mt 7_3_3 0_X_2012_1000 mt_7_3_3
0 X 2012 1000 mt 7_3_4 0_X_2012_1000 mt_7_3_4
0 X 2012 1000 mt 7_4 0_X_2012_1000 mt_7_4
0 X 2012 1000 mt 8 0_X_2012_1000 mt_8
0 X 2012 1000 mt 8_1 0_X_2012_1000 mt_8_1
0 X 2012 1000 mt 8_2 0_X_2012_1000 mt_8_2
0 X 2012 1000 mt 9 0_X_2012_1000 mt_9
0 X 2012 1000 mt 10 0_X_2012_1000 mt_10
0 X 2012 1000 mt 10_1 0_X_2012_1000 mt_10_1
0 X 2012 1000 mt 10_1_1 0_X_2012_1000 mt_10_1_1
0 X 2012 1000 mt 10_1_2 0_X_2012_1000 mt_10_1_2
0 X 2012 1000 mt 10_1_3 0_X_2012_1000 mt_10_1_3
0 X 2012 1000 mt 10_1_4 0_X_2012_1000 mt_10_1_4
0 X 2012 1000 mt 10_2 0_X_2012_1000 mt_10_2
0 X 2012 1000 mt 10_3 0_X_2012_1000 mt_10_3
0 X 2012 1000 mt 10_3_1 0_X_2012_1000 mt_10_3_1
0 X 2012 1000 mt 10_3_2 0_X_2012_1000 mt_10_3_2
0 X 2012 1000 mt 10_3_3 0_X_2012_1000 mt_10_3_3
0 X 2012 1000 mt 10_3_4 0_X_2012_1000 mt_10_3_4
0 X 2012 1000 mt 10_4 0_X_2012_1000 mt_10_4
0 X 2012 1000 NAC 1 0_X_2012_1000 NAC_1
0 X 2012 1000 NAC 1_1 0_X_2012_1000 NAC_1_1
0 X 2012 1000 NAC 1_2 0_X_2012_1000 NAC_1_2
0 X 2012 1000 NAC 1_2_C 0_X_2012_1000 NAC_1_2_C
0 X 2012 1000 NAC 1_2_NC 0_X_2012_1000 NAC_1_2_NC
0 X 2012 1000 NAC 1_2_NC_T 0_X_2012_1000 NAC_1_2_NC_T
0 X 2012 1000 NAC 2 0_X_2012_1000 NAC_2
0 X 2012 1000 NAC 3 0_X_2012_1000 NAC_3
0 X 2012 1000 NAC 3_1 0_X_2012_1000 NAC_3_1
0 X 2012 1000 NAC 3_2 0_X_2012_1000 NAC_3_2
0 X 2012 1000 NAC 4 0_X_2012_1000 NAC_4
0 X 2012 1000 NAC 4_1 0_X_2012_1000 NAC_4_1
0 X 2012 1000 NAC 4_2 0_X_2012_1000 NAC_4_2
0 X 2012 1000 NAC 5 0_X_2012_1000 NAC_5
0 X 2012 1000 NAC 5_C 0_X_2012_1000 NAC_5_C
0 X 2012 1000 NAC 5_NC 0_X_2012_1000 NAC_5_NC
0 X 2012 1000 NAC 5_NC_T 0_X_2012_1000 NAC_5_NC_T
0 X 2012 1000 NAC 6 0_X_2012_1000 NAC_6
0 X 2012 1000 NAC 6_1 0_X_2012_1000 NAC_6_1
0 X 2012 1000 NAC 6_1_C 0_X_2012_1000 NAC_6_1_C
0 X 2012 1000 NAC 6_1_NC 0_X_2012_1000 NAC_6_1_NC
0 X 2012 1000 NAC 6_1_NC_T 0_X_2012_1000 NAC_6_1_NC_T
0 X 2012 1000 NAC 6_2 0_X_2012_1000 NAC_6_2
0 X 2012 1000 NAC 6_2_C 0_X_2012_1000 NAC_6_2_C
0 X 2012 1000 NAC 6_2_NC 0_X_2012_1000 NAC_6_2_NC
0 X 2012 1000 NAC 6_2_NC_T 0_X_2012_1000 NAC_6_2_NC_T
0 X 2012 1000 NAC 6_3 0_X_2012_1000 NAC_6_3
0 X 2012 1000 NAC 6_3_1 0_X_2012_1000 NAC_6_3_1
0 X 2012 1000 NAC 6_4 0_X_2012_1000 NAC_6_4
0 X 2012 1000 NAC 6_4_1 0_X_2012_1000 NAC_6_4_1
0 X 2012 1000 NAC 6_4_2 0_X_2012_1000 NAC_6_4_2
0 X 2012 1000 NAC 6_4_3 0_X_2012_1000 NAC_6_4_3
0 X 2012 1000 NAC 7 0_X_2012_1000 NAC_7
0 X 2012 1000 NAC 7_1 0_X_2012_1000 NAC_7_1
0 X 2012 1000 NAC 7_2 0_X_2012_1000 NAC_7_2
0 X 2012 1000 NAC 7_3 0_X_2012_1000 NAC_7_3
0 X 2012 1000 NAC 7_3_1 0_X_2012_1000 NAC_7_3_1
0 X 2012 1000 NAC 7_3_2 0_X_2012_1000 NAC_7_3_2
0 X 2012 1000 NAC 7_3_3 0_X_2012_1000 NAC_7_3_3
0 X 2012 1000 NAC 7_3_4 0_X_2012_1000 NAC_7_3_4
0 X 2012 1000 NAC 7_4 0_X_2012_1000 NAC_7_4
0 X 2012 1000 NAC 8 0_X_2012_1000 NAC_8
0 X 2012 1000 NAC 8_1 0_X_2012_1000 NAC_8_1
0 X 2012 1000 NAC 8_2 0_X_2012_1000 NAC_8_2
0 X 2012 1000 NAC 9 0_X_2012_1000 NAC_9
0 X 2012 1000 NAC 10 0_X_2012_1000 NAC_10
0 X 2012 1000 NAC 10_1 0_X_2012_1000 NAC_10_1
0 X 2012 1000 NAC 10_1_1 0_X_2012_1000 NAC_10_1_1
0 X 2012 1000 NAC 10_1_2 0_X_2012_1000 NAC_10_1_2
0 X 2012 1000 NAC 10_1_3 0_X_2012_1000 NAC_10_1_3
0 X 2012 1000 NAC 10_1_4 0_X_2012_1000 NAC_10_1_4
0 X 2012 1000 NAC 10_2 0_X_2012_1000 NAC_10_2
0 X 2012 1000 NAC 10_3 0_X_2012_1000 NAC_10_3
0 X 2012 1000 NAC 10_3_1 0_X_2012_1000 NAC_10_3_1
0 X 2012 1000 NAC 10_3_2 0_X_2012_1000 NAC_10_3_2
0 X 2012 1000 NAC 10_3_3 0_X_2012_1000 NAC_10_3_3
0 X 2012 1000 NAC 10_3_4 0_X_2012_1000 NAC_10_3_4
0 X 2012 1000 NAC 10_4 0_X_2012_1000 NAC_10_4
0 M 2012 1000 NAC 11_1 0_M_2012_1000 NAC_11_1
0 M 2012 1000 NAC 11_1_C 0_M_2012_1000 NAC_11_1_C
0 M 2012 1000 NAC 11_1_NC 0_M_2012_1000 NAC_11_1_NC
0 M 2012 1000 NAC 11_1_NC_T 0_M_2012_1000 NAC_11_1_NC_T
0 M 2012 1000 NAC 11_2 0_M_2012_1000 NAC_11_2
0 M 2012 1000 NAC 11_3 0_M_2012_1000 NAC_11_3
0 M 2012 1000 NAC 11_4 0_M_2012_1000 NAC_11_4
0 M 2012 1000 NAC 11_5 0_M_2012_1000 NAC_11_5
0 M 2012 1000 NAC 11_6 0_M_2012_1000 NAC_11_6
0 M 2012 1000 NAC 11_7 0_M_2012_1000 NAC_11_7
0 M 2012 1000 NAC 11_7_1 0_M_2012_1000 NAC_11_7_1
0 M 2012 1000 NAC 12_1 0_M_2012_1000 NAC_12_1
0 M 2012 1000 NAC 12_2 0_M_2012_1000 NAC_12_2
0 M 2012 1000 NAC 12_3 0_M_2012_1000 NAC_12_3
0 M 2012 1000 NAC 12_4 0_M_2012_1000 NAC_12_4
0 M 2012 1000 NAC 12_5 0_M_2012_1000 NAC_12_5
0 M 2012 1000 NAC 12_6 0_M_2012_1000 NAC_12_6
0 M 2012 1000 NAC 12_6_1 0_M_2012_1000 NAC_12_6_1
0 M 2012 1000 NAC 12_6_2 0_M_2012_1000 NAC_12_6_2
0 M 2012 1000 NAC 12_6_3 0_M_2012_1000 NAC_12_6_3
0 M 2012 1000 NAC 12_7 0_M_2012_1000 NAC_12_7
0 M 2012 1000 NAC 12_7_1 0_M_2012_1000 NAC_12_7_1
0 M 2012 1000 NAC 12_7_2 0_M_2012_1000 NAC_12_7_2
0 M 2012 1000 NAC 12_7_3 0_M_2012_1000 NAC_12_7_3
0 X 2012 1000 NAC 11_1 0_X_2012_1000 NAC_11_1
0 X 2012 1000 NAC 11_1_C 0_X_2012_1000 NAC_11_1_C
0 X 2012 1000 NAC 11_1_NC 0_X_2012_1000 NAC_11_1_NC
0 X 2012 1000 NAC 11_1_NC_T 0_X_2012_1000 NAC_11_1_NC_T
0 X 2012 1000 NAC 11_2 0_X_2012_1000 NAC_11_2
0 X 2012 1000 NAC 11_3 0_X_2012_1000 NAC_11_3
0 X 2012 1000 NAC 11_4 0_X_2012_1000 NAC_11_4
0 X 2012 1000 NAC 11_5 0_X_2012_1000 NAC_11_5
0 X 2012 1000 NAC 11_6 0_X_2012_1000 NAC_11_6
0 X 2012 1000 NAC 11_7 0_X_2012_1000 NAC_11_7
0 X 2012 1000 NAC 11_7_1 0_X_2012_1000 NAC_11_7_1
0 X 2012 1000 NAC 12_1 0_X_2012_1000 NAC_12_1
0 X 2012 1000 NAC 12_2 0_X_2012_1000 NAC_12_2
0 X 2012 1000 NAC 12_3 0_X_2012_1000 NAC_12_3
0 X 2012 1000 NAC 12_4 0_X_2012_1000 NAC_12_4
0 X 2012 1000 NAC 12_5 0_X_2012_1000 NAC_12_5
0 X 2012 1000 NAC 12_6 0_X_2012_1000 NAC_12_6
0 X 2012 1000 NAC 12_6_1 0_X_2012_1000 NAC_12_6_1
0 X 2012 1000 NAC 12_6_2 0_X_2012_1000 NAC_12_6_2
0 X 2012 1000 NAC 12_6_3 0_X_2012_1000 NAC_12_6_3
0 X 2012 1000 NAC 12_7 0_X_2012_1000 NAC_12_7
0 X 2012 1000 NAC 12_7_1 0_X_2012_1000 NAC_12_7_1
0 X 2012 1000 NAC 12_7_2 0_X_2012_1000 NAC_12_7_2
0 X 2012 1000 NAC 12_7_3 0_X_2012_1000 NAC_12_7_3
0 M 2012 1000 m3 ST_1_2_C 0_M_2012_1000 m3_ST_1_2_C
0 M 2012 1000 m3 ST_1_2_C_1 0_M_2012_1000 m3_ST_1_2_C_1
0 M 2012 1000 m3 ST_1_2_C_1_1 0_M_2012_1000 m3_ST_1_2_C_1_1
0 M 2012 1000 m3 ST_1_2_C_2_1 0_M_2012_1000 m3_ST_1_2_C_2_1
0 M 2012 1000 m3 ST_1_2_C_2 0_M_2012_1000 m3_ST_1_2_C_2
0 M 2012 1000 m3 ST_1_2_C_1_2 0_M_2012_1000 m3_ST_1_2_C_1_2
0 M 2012 1000 m3 ST_1_2_C_2_2 0_M_2012_1000 m3_ST_1_2_C_2_2
0 M 2012 1000 m3 ST_1_2_C_3 0_M_2012_1000 m3_ST_1_2_C_3
0 M 2012 1000 m3 ST_1_2_C_1_3 0_M_2012_1000 m3_ST_1_2_C_1_3
0 M 2012 1000 m3 ST_1_2_C_2_3 0_M_2012_1000 m3_ST_1_2_C_2_3
0 M 2012 1000 m3 ST_1_2_NC 0_M_2012_1000 m3_ST_1_2_NC
0 M 2012 1000 m3 ST_1_2_NC_1 0_M_2012_1000 m3_ST_1_2_NC_1
0 M 2012 1000 m3 ST_1_2_NC_1_1 0_M_2012_1000 m3_ST_1_2_NC_1_1
0 M 2012 1000 m3 ST_1_2_NC_2_1 0_M_2012_1000 m3_ST_1_2_NC_2_1
0 M 2012 1000 m3 ST_1_2_NC_2 0_M_2012_1000 m3_ST_1_2_NC_2
0 M 2012 1000 m3 ST_1_2_NC_1_2 0_M_2012_1000 m3_ST_1_2_NC_1_2
0 M 2012 1000 m3 ST_1_2_NC_2_2 0_M_2012_1000 m3_ST_1_2_NC_2_2
0 M 2012 1000 m3 ST_1_2_NC_3 0_M_2012_1000 m3_ST_1_2_NC_3
0 M 2012 1000 m3 ST_1_2_NC_1_3 0_M_2012_1000 m3_ST_1_2_NC_1_3
0 M 2012 1000 m3 ST_1_2_NC_2_3 0_M_2012_1000 m3_ST_1_2_NC_2_3
0 M 2012 1000 m3 ST_1_2_NC_4 0_M_2012_1000 m3_ST_1_2_NC_4
0 M 2012 1000 m3 ST_1_2_NC_5 0_M_2012_1000 m3_ST_1_2_NC_5
0 M 2012 1000 m3 ST_5_C 0_M_2012_1000 m3_ST_5_C
0 M 2012 1000 m3 ST_5_C_1 0_M_2012_1000 m3_ST_5_C_1
0 M 2012 1000 m3 ST_5_C_2 0_M_2012_1000 m3_ST_5_C_2
0 M 2012 1000 m3 ST_5_NC 0_M_2012_1000 m3_ST_5_NC
0 M 2012 1000 m3 ST_5_NC_1 0_M_2012_1000 m3_ST_5_NC_1
0 M 2012 1000 m3 ST_5_NC_2 0_M_2012_1000 m3_ST_5_NC_2
0 M 2012 1000 m3 ST_5_NC_3 0_M_2012_1000 m3_ST_5_NC_3
0 M 2012 1000 m3 ST_5_NC_4 0_M_2012_1000 m3_ST_5_NC_4
0 M 2012 1000 m3 ST_5_NC_5 0_M_2012_1000 m3_ST_5_NC_5
0 M 2012 1000 m3 ST_5_NC_6 0_M_2012_1000 m3_ST_5_NC_6
0 M 2012 1000 m3 ST_5_NC_7 0_M_2012_1000 m3_ST_5_NC_7
0 M 2012 1000 NAC ST_1_2_C 0_M_2012_1000 NAC_ST_1_2_C
0 M 2012 1000 NAC ST_1_2_C_1 0_M_2012_1000 NAC_ST_1_2_C_1
0 M 2012 1000 NAC ST_1_2_C_1_1 0_M_2012_1000 NAC_ST_1_2_C_1_1
0 M 2012 1000 NAC ST_1_2_C_2_1 0_M_2012_1000 NAC_ST_1_2_C_2_1
0 M 2012 1000 NAC ST_1_2_C_2 0_M_2012_1000 NAC_ST_1_2_C_2
0 M 2012 1000 NAC ST_1_2_C_1_2 0_M_2012_1000 NAC_ST_1_2_C_1_2
0 M 2012 1000 NAC ST_1_2_C_2_2 0_M_2012_1000 NAC_ST_1_2_C_2_2
0 M 2012 1000 NAC ST_1_2_C_3 0_M_2012_1000 NAC_ST_1_2_C_3
0 M 2012 1000 NAC ST_1_2_C_1_3 0_M_2012_1000 NAC_ST_1_2_C_1_3
0 M 2012 1000 NAC ST_1_2_C_2_3 0_M_2012_1000 NAC_ST_1_2_C_2_3
0 M 2012 1000 NAC ST_1_2_NC 0_M_2012_1000 NAC_ST_1_2_NC
0 M 2012 1000 NAC ST_1_2_NC_1 0_M_2012_1000 NAC_ST_1_2_NC_1
0 M 2012 1000 NAC ST_1_2_NC_1_1 0_M_2012_1000 NAC_ST_1_2_NC_1_1
0 M 2012 1000 NAC ST_1_2_NC_2_1 0_M_2012_1000 NAC_ST_1_2_NC_2_1
0 M 2012 1000 NAC ST_1_2_NC_2 0_M_2012_1000 NAC_ST_1_2_NC_2
0 M 2012 1000 NAC ST_1_2_NC_1_2 0_M_2012_1000 NAC_ST_1_2_NC_1_2
0 M 2012 1000 NAC ST_1_2_NC_2_2 0_M_2012_1000 NAC_ST_1_2_NC_2_2
0 M 2012 1000 NAC ST_1_2_NC_3 0_M_2012_1000 NAC_ST_1_2_NC_3
0 M 2012 1000 NAC ST_1_2_NC_1_3 0_M_2012_1000 NAC_ST_1_2_NC_1_3
0 M 2012 1000 NAC ST_1_2_NC_2_3 0_M_2012_1000 NAC_ST_1_2_NC_2_3
0 M 2012 1000 NAC ST_1_2_NC_4 0_M_2012_1000 NAC_ST_1_2_NC_4
0 M 2012 1000 NAC ST_1_2_NC_5 0_M_2012_1000 NAC_ST_1_2_NC_5
0 M 2012 1000 NAC ST_5_C 0_M_2012_1000 NAC_ST_5_C
0 M 2012 1000 NAC ST_5_C_1 0_M_2012_1000 NAC_ST_5_C_1
0 M 2012 1000 NAC ST_5_C_2 0_M_2012_1000 NAC_ST_5_C_2
0 M 2012 1000 NAC ST_5_NC 0_M_2012_1000 NAC_ST_5_NC
0 M 2012 1000 NAC ST_5_NC_1 0_M_2012_1000 NAC_ST_5_NC_1
0 M 2012 1000 NAC ST_5_NC_2 0_M_2012_1000 NAC_ST_5_NC_2
0 M 2012 1000 NAC ST_5_NC_3 0_M_2012_1000 NAC_ST_5_NC_3
0 M 2012 1000 NAC ST_5_NC_4 0_M_2012_1000 NAC_ST_5_NC_4
0 M 2012 1000 NAC ST_5_NC_5 0_M_2012_1000 NAC_ST_5_NC_5
0 M 2012 1000 NAC ST_5_NC_6 0_M_2012_1000 NAC_ST_5_NC_6
0 M 2012 1000 NAC ST_5_NC_7 0_M_2012_1000 NAC_ST_5_NC_7
0 X 2012 1000 m3 ST_1_2_C 0_X_2012_1000 m3_ST_1_2_C
0 X 2012 1000 m3 ST_1_2_C_1 0_X_2012_1000 m3_ST_1_2_C_1
0 X 2012 1000 m3 ST_1_2_C_1_1 0_X_2012_1000 m3_ST_1_2_C_1_1
0 X 2012 1000 m3 ST_1_2_C_2_1 0_X_2012_1000 m3_ST_1_2_C_2_1
0 X 2012 1000 m3 ST_1_2_C_2 0_X_2012_1000 m3_ST_1_2_C_2
0 X 2012 1000 m3 ST_1_2_C_1_2 0_X_2012_1000 m3_ST_1_2_C_1_2
0 X 2012 1000 m3 ST_1_2_C_2_2 0_X_2012_1000 m3_ST_1_2_C_2_2
0 X 2012 1000 m3 ST_1_2_C_3 0_X_2012_1000 m3_ST_1_2_C_3
0 X 2012 1000 m3 ST_1_2_C_1_3 0_X_2012_1000 m3_ST_1_2_C_1_3
0 X 2012 1000 m3 ST_1_2_C_2_3 0_X_2012_1000 m3_ST_1_2_C_2_3
0 X 2012 1000 m3 ST_1_2_NC 0_X_2012_1000 m3_ST_1_2_NC
0 X 2012 1000 m3 ST_1_2_NC_1 0_X_2012_1000 m3_ST_1_2_NC_1
0 X 2012 1000 m3 ST_1_2_NC_1_1 0_X_2012_1000 m3_ST_1_2_NC_1_1
0 X 2012 1000 m3 ST_1_2_NC_2_1 0_X_2012_1000 m3_ST_1_2_NC_2_1
0 X 2012 1000 m3 ST_1_2_NC_2 0_X_2012_1000 m3_ST_1_2_NC_2
0 X 2012 1000 m3 ST_1_2_NC_1_2 0_X_2012_1000 m3_ST_1_2_NC_1_2
0 X 2012 1000 m3 ST_1_2_NC_2_2 0_X_2012_1000 m3_ST_1_2_NC_2_2
0 X 2012 1000 m3 ST_1_2_NC_3 0_X_2012_1000 m3_ST_1_2_NC_3
0 X 2012 1000 m3 ST_1_2_NC_1_3 0_X_2012_1000 m3_ST_1_2_NC_1_3
0 X 2012 1000 m3 ST_1_2_NC_2_3 0_X_2012_1000 m3_ST_1_2_NC_2_3
0 X 2012 1000 m3 ST_1_2_NC_4 0_X_2012_1000 m3_ST_1_2_NC_4
0 X 2012 1000 m3 ST_1_2_NC_5 0_X_2012_1000 m3_ST_1_2_NC_5
0 X 2012 1000 m3 ST_5_C 0_X_2012_1000 m3_ST_5_C
0 X 2012 1000 m3 ST_5_C_1 0_X_2012_1000 m3_ST_5_C_1
0 X 2012 1000 m3 ST_5_C_2 0_X_2012_1000 m3_ST_5_C_2
0 X 2012 1000 m3 ST_5_NC 0_X_2012_1000 m3_ST_5_NC
0 X 2012 1000 m3 ST_5_NC_1 0_X_2012_1000 m3_ST_5_NC_1
0 X 2012 1000 m3 ST_5_NC_2 0_X_2012_1000 m3_ST_5_NC_2
0 X 2012 1000 m3 ST_5_NC_3 0_X_2012_1000 m3_ST_5_NC_3
0 X 2012 1000 m3 ST_5_NC_4 0_X_2012_1000 m3_ST_5_NC_4
0 X 2012 1000 m3 ST_5_NC_5 0_X_2012_1000 m3_ST_5_NC_5
0 X 2012 1000 m3 ST_5_NC_6 0_X_2012_1000 m3_ST_5_NC_6
0 X 2012 1000 m3 ST_5_NC_7 0_X_2012_1000 m3_ST_5_NC_7
0 X 2012 1000 NAC ST_1_2_C 0_X_2012_1000 NAC_ST_1_2_C
0 X 2012 1000 NAC ST_1_2_C_1 0_X_2012_1000 NAC_ST_1_2_C_1
0 X 2012 1000 NAC ST_1_2_C_1_1 0_X_2012_1000 NAC_ST_1_2_C_1_1
0 X 2012 1000 NAC ST_1_2_C_2_1 0_X_2012_1000 NAC_ST_1_2_C_2_1
0 X 2012 1000 NAC ST_1_2_C_2 0_X_2012_1000 NAC_ST_1_2_C_2
0 X 2012 1000 NAC ST_1_2_C_1_2 0_X_2012_1000 NAC_ST_1_2_C_1_2
0 X 2012 1000 NAC ST_1_2_C_2_2 0_X_2012_1000 NAC_ST_1_2_C_2_2
0 X 2012 1000 NAC ST_1_2_C_3 0_X_2012_1000 NAC_ST_1_2_C_3
0 X 2012 1000 NAC ST_1_2_C_1_3 0_X_2012_1000 NAC_ST_1_2_C_1_3
0 X 2012 1000 NAC ST_1_2_C_2_3 0_X_2012_1000 NAC_ST_1_2_C_2_3
0 X 2012 1000 NAC ST_1_2_NC 0_X_2012_1000 NAC_ST_1_2_NC
0 X 2012 1000 NAC ST_1_2_NC_1 0_X_2012_1000 NAC_ST_1_2_NC_1
0 X 2012 1000 NAC ST_1_2_NC_1_1 0_X_2012_1000 NAC_ST_1_2_NC_1_1
0 X 2012 1000 NAC ST_1_2_NC_2_1 0_X_2012_1000 NAC_ST_1_2_NC_2_1
0 X 2012 1000 NAC ST_1_2_NC_2 0_X_2012_1000 NAC_ST_1_2_NC_2
0 X 2012 1000 NAC ST_1_2_NC_1_2 0_X_2012_1000 NAC_ST_1_2_NC_1_2
0 X 2012 1000 NAC ST_1_2_NC_2_2 0_X_2012_1000 NAC_ST_1_2_NC_2_2
0 X 2012 1000 NAC ST_1_2_NC_3 0_X_2012_1000 NAC_ST_1_2_NC_3
0 X 2012 1000 NAC ST_1_2_NC_1_3 0_X_2012_1000 NAC_ST_1_2_NC_1_3
0 X 2012 1000 NAC ST_1_2_NC_2_3 0_X_2012_1000 NAC_ST_1_2_NC_2_3
0 X 2012 1000 NAC ST_1_2_NC_4 0_X_2012_1000 NAC_ST_1_2_NC_4
0 X 2012 1000 NAC ST_1_2_NC_5 0_X_2012_1000 NAC_ST_1_2_NC_5
0 X 2012 1000 NAC ST_5_C 0_X_2012_1000 NAC_ST_5_C
0 X 2012 1000 NAC ST_5_C_1 0_X_2012_1000 NAC_ST_5_C_1
0 X 2012 1000 NAC ST_5_C_2 0_X_2012_1000 NAC_ST_5_C_2
0 X 2012 1000 NAC ST_5_NC 0_X_2012_1000 NAC_ST_5_NC
0 X 2012 1000 NAC ST_5_NC_1 0_X_2012_1000 NAC_ST_5_NC_1
0 X 2012 1000 NAC ST_5_NC_2 0_X_2012_1000 NAC_ST_5_NC_2
0 X 2012 1000 NAC ST_5_NC_3 0_X_2012_1000 NAC_ST_5_NC_3
0 X 2012 1000 NAC ST_5_NC_4 0_X_2012_1000 NAC_ST_5_NC_4
0 X 2012 1000 NAC ST_5_NC_5 0_X_2012_1000 NAC_ST_5_NC_5
0 X 2012 1000 NAC ST_5_NC_6 0_X_2012_1000 NAC_ST_5_NC_6
0 X 2012 1000 NAC ST_5_NC_7 0_X_2012_1000 NAC_ST_5_NC_7
0 EX_M 2012 1000 m3 1 0_EX_M_2012_1000 m3_1
0 EX_M 2012 1000 m3 1_1 0_EX_M_2012_1000 m3_1_1
0 EX_M 2012 1000 m3 1_2 0_EX_M_2012_1000 m3_1_2
0 EX_M 2012 1000 m3 1_2_C 0_EX_M_2012_1000 m3_1_2_C
0 EX_M 2012 1000 m3 1_2_NC 0_EX_M_2012_1000 m3_1_2_NC
0 EX_M 2012 1000 m3 1_2_NC_T 0_EX_M_2012_1000 m3_1_2_NC_T
0 EX_M 2012 1000 mt 2 0_EX_M_2012_1000 mt_2
0 EX_M 2012 1000 m3 3 0_EX_M_2012_1000 m3_3
0 EX_M 2012 1000 m3 3_1 0_EX_M_2012_1000 m3_3_1
0 EX_M 2012 1000 m3 3_2 0_EX_M_2012_1000 m3_3_2
0 EX_M 2012 1000 mt 4 0_EX_M_2012_1000 mt_4
0 EX_M 2012 1000 mt 4_1 0_EX_M_2012_1000 mt_4_1
0 EX_M 2012 1000 mt 4_2 0_EX_M_2012_1000 mt_4_2
0 EX_M 2012 1000 m3 5 0_EX_M_2012_1000 m3_5
0 EX_M 2012 1000 m3 5_C 0_EX_M_2012_1000 m3_5_C
0 EX_M 2012 1000 m3 5_NC 0_EX_M_2012_1000 m3_5_NC
0 EX_M 2012 1000 m3 5_NC_T 0_EX_M_2012_1000 m3_5_NC_T
0 EX_M 2012 1000 m3 6 0_EX_M_2012_1000 m3_6
0 EX_M 2012 1000 m3 6_1 0_EX_M_2012_1000 m3_6_1
0 EX_M 2012 1000 m3 6_1_C 0_EX_M_2012_1000 m3_6_1_C
0 EX_M 2012 1000 m3 6_1_NC 0_EX_M_2012_1000 m3_6_1_NC
0 EX_M 2012 1000 m3 6_1_NC_T 0_EX_M_2012_1000 m3_6_1_NC_T
0 EX_M 2012 1000 m3 6_2 0_EX_M_2012_1000 m3_6_2
0 EX_M 2012 1000 m3 6_2_C 0_EX_M_2012_1000 m3_6_2_C
0 EX_M 2012 1000 m3 6_2_NC 0_EX_M_2012_1000 m3_6_2_NC
0 EX_M 2012 1000 m3 6_2_NC_T 0_EX_M_2012_1000 m3_6_2_NC_T
0 EX_M 2012 1000 m3 6_3 0_EX_M_2012_1000 m3_6_3
0 EX_M 2012 1000 m3 6_3_1 0_EX_M_2012_1000 m3_6_3_1
0 EX_M 2012 1000 m3 6_4 0_EX_M_2012_1000 m3_6_4
0 EX_M 2012 1000 m3 6_4_1 0_EX_M_2012_1000 m3_6_4_1
0 EX_M 2012 1000 m3 6_4_2 0_EX_M_2012_1000 m3_6_4_2
0 EX_M 2012 1000 m3 6_4_3 0_EX_M_2012_1000 m3_6_4_3
0 EX_M 2012 1000 mt 7 0_EX_M_2012_1000 mt_7
0 EX_M 2012 1000 mt 7_1 0_EX_M_2012_1000 mt_7_1
0 EX_M 2012 1000 mt 7_2 0_EX_M_2012_1000 mt_7_2
0 EX_M 2012 1000 mt 7_3 0_EX_M_2012_1000 mt_7_3
0 EX_M 2012 1000 mt 7_3_1 0_EX_M_2012_1000 mt_7_3_1
0 EX_M 2012 1000 mt 7_3_2 0_EX_M_2012_1000 mt_7_3_2
0 EX_M 2012 1000 mt 7_3_3 0_EX_M_2012_1000 mt_7_3_3
0 EX_M 2012 1000 mt 7_3_4 0_EX_M_2012_1000 mt_7_3_4
0 EX_M 2012 1000 mt 7_4 0_EX_M_2012_1000 mt_7_4
0 EX_M 2012 1000 mt 8 0_EX_M_2012_1000 mt_8
0 EX_M 2012 1000 mt 8_1 0_EX_M_2012_1000 mt_8_1
0 EX_M 2012 1000 mt 8_2 0_EX_M_2012_1000 mt_8_2
0 EX_M 2012 1000 mt 9 0_EX_M_2012_1000 mt_9
0 EX_M 2012 1000 mt 10 0_EX_M_2012_1000 mt_10
0 EX_M 2012 1000 mt 10_1 0_EX_M_2012_1000 mt_10_1
0 EX_M 2012 1000 mt 10_1_1 0_EX_M_2012_1000 mt_10_1_1
0 EX_M 2012 1000 mt 10_1_2 0_EX_M_2012_1000 mt_10_1_2
0 EX_M 2012 1000 mt 10_1_3 0_EX_M_2012_1000 mt_10_1_3
0 EX_M 2012 1000 mt 10_1_4 0_EX_M_2012_1000 mt_10_1_4
0 EX_M 2012 1000 mt 10_2 0_EX_M_2012_1000 mt_10_2
0 EX_M 2012 1000 mt 10_3 0_EX_M_2012_1000 mt_10_3
0 EX_M 2012 1000 mt 10_3_1 0_EX_M_2012_1000 mt_10_3_1
0 EX_M 2012 1000 mt 10_3_2 0_EX_M_2012_1000 mt_10_3_2
0 EX_M 2012 1000 mt 10_3_3 0_EX_M_2012_1000 mt_10_3_3
0 EX_M 2012 1000 mt 10_3_4 0_EX_M_2012_1000 mt_10_3_4
0 EX_M 2012 1000 mt 10_4 0_EX_M_2012_1000 mt_10_4
0 EX_M 2012 1000 NAC 1 0_EX_M_2012_1000 NAC_1
0 EX_M 2012 1000 NAC 1_1 0_EX_M_2012_1000 NAC_1_1
0 EX_M 2012 1000 NAC 1_2 0_EX_M_2012_1000 NAC_1_2
0 EX_M 2012 1000 NAC 1_2_C 0_EX_M_2012_1000 NAC_1_2_C
0 EX_M 2012 1000 NAC 1_2_NC 0_EX_M_2012_1000 NAC_1_2_NC
0 EX_M 2012 1000 NAC 1_2_NC_T 0_EX_M_2012_1000 NAC_1_2_NC_T
0 EX_M 2012 1000 NAC 2 0_EX_M_2012_1000 NAC_2
0 EX_M 2012 1000 NAC 3 0_EX_M_2012_1000 NAC_3
0 EX_M 2012 1000 NAC 3_1 0_EX_M_2012_1000 NAC_3_1
0 EX_M 2012 1000 NAC 3_2 0_EX_M_2012_1000 NAC_3_2
0 EX_M 2012 1000 NAC 4 0_EX_M_2012_1000 NAC_4
0 EX_M 2012 1000 NAC 4_1 0_EX_M_2012_1000 NAC_4_1
0 EX_M 2012 1000 NAC 4_2 0_EX_M_2012_1000 NAC_4_2
0 EX_M 2012 1000 NAC 5 0_EX_M_2012_1000 NAC_5
0 EX_M 2012 1000 NAC 5_C 0_EX_M_2012_1000 NAC_5_C
0

Market Forecast Tables 2021

These tables show forest products production and trade forecasts for 2021 and 2022.  These cover roundwood (logs, pulpwood and fuel wood), sawnwood (coniferous and non-coniferous), wood-based panels (plywood, particle board, OSB and fibreboard), pulp, paper and wood pellets.  The forecast data are provided by national correspondents and approved at the meeting of the Committee on Forests and the Forest Industry.

Languages and translations
English

UNITED NATIONS

Economic and Social Council

Committee on Forests and the Forest Industry

22-25 November 2021

TIMBER FORECASTS

PRODUCTION AND TRADE

DATA FOR 2020-2022

Table 1 – Sawn Softwood Table 2 – Sawn Hardwood (total) Table 2a – Sawn Hardwood (temperate) Table 2b – Sawn Hardwood (tropical) Table 3 – Veneer Sheets Table 4 – Plywood Table 5 – Particle Board (excluding OSB) Table 5a – Oriented Strand Board Table 6 – Fibreboard Table 6a – Hardboard Table 6b – MDF Table 6c – Other Fibreboard

UNECE COFFI and FAO EFC Foresta2021 page 1

Table 7 – Wood Pulp Table 8 – Paper and Paperboard Table 9 – Removals of wood in the rough Table 9a – Removals of wood in the rough (softwood) Table 9b – Removals of wood in the rough (hardwood) Table 10 – Softwood logs Table 11 – Hardwood logs Table 11a – Hardwood logs (temperate) Table 11b – Hardwood logs (tropical) Table 12 – Pulpwood Table 12a – Pulpwood (softwood) Table 12b – Pulpwood (hardwood) Table 12c – Wood Residues, Chips and Particles Table 13 – Wood Pellets Table 14 – Europe: Summary of Market Forecast Table 15 – North America: Summary of Market Forecast Table 16 – Russian Federation: Summary of Market Forecast Table 17 - Europe: Trade in forest products by main product groups, 1979-81 and 1999-2001 (average) and 2016 to 2020 Table 18 - Europe: Apparent consumption of selected forest products, 1979-81 and 1999-2001 (average), 2016 to 2020, and forecasts for 2021 and 2022 Table 19 - United States: Apparent consumption and imports of selected forest products 1979-81 and 1999-2001 (average), 2016 to 2020, and forecasts for 2021 and 2022

Data as of November 26, 2021.

UNECE COFFI and FAO EFC Foresta2021 page 2

Notes Data are shown only for countries providing forecasts. Sub-regional totals thus reflect only the reporting countries of the subregion. Austrian removals data do not include trees outside the forest. Wood chip trade includes recovered post-consumer wood. German estimates of removals for 2021 and 2022 are highly sensitive to assumptions of beetle damage and drought, and significant inventory swings. Actual consumption in 2021 is higher than indicated due to use of stocks built up in 2018-2020. Actual consumption of pellets in 2020 should be approximately 300,000 mt less than the indicated figure as this amount was stored by new market participants. Italy MDF/HDF production data include only MDF. Montenegro removal figures are from Directorate of Forests, other figures are based on Statistical Office information. Slovenia trade figures are lower than actual as they do not include estimates for non-recorded trade with other EU countries. Polish trade data exclude non-reporters (estimated at 1-3% of total). Residues exclude recovered wood. Polish sawnwood data exclude shop lumber. Wood pulp production is in metric tonnes, not air-dried, and excludes recovered fibre pulp. Wood pellets production data includes briquettes and non-wood based material. United Kingdom production figures for OSB and wood pulp are secretariat estimates. Data on wood chips and residues for Turkey include those from secondary processing. For tables 1-13, data in italics are secretariat estimates or repeated data. All other data are from national sources and are of course estimates for the current and future year. Countries with nil, missing or confidential data for all years on a table are not shown. Consumption figures are the sum of production and national imports minus national exports. Softwood = coniferous, hardwood = non-coniferous.

UNECE COFFI and FAO EFC Foresta2021 page 3

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 6 165 6 650 6 700 10 339 10 800 11 300 1 777 1 950 1 600 5 951 6 100 6 200 Autriche Bosnia-Herzegovina 226 189 204 810 779 812 7 10 12 590 600 620 Bosnie-Herzegovine Cyprus 29 31 31 1 1 1 28 30 30 0 0 0 Chypre Czech Republic 2 343 1 875 1 924 5 213 5 015 5 144 483 460 480 3 352 3 600 3 700 République tchèque Estonia 2 073 2 420 2 420 1 700 1 700 1 700 1 364 1 720 1 720 991 1 000 1 000 Estonie Finland 3 252 3 280 3 280 10 880 12 000 12 200 569 480 480 8 198 9 200 9 400 Finlande France 8 187 8 492 8 400 6 798 7 000 7 000 2 437 2 484 2 400 1 048 992 1 000 France Germany 20 630 22 300 22 500 25 216 27 000 27 000 5 519 6 300 6 000 10 105 11 000 10 500 Allemagne Hungary 910 858 858 120 134 134 796 768 768 7 44 44 Hongrie Ireland 492 937 997 1 012 1 312 1 397 310 375 400 830 750 800 Irlande Italy 3 714 4 412 4 412 274 342 342 3 740 4 282 4 282 300 213 213 Italie Latvia 1 383 1 600 1 300 3 311 3 000 3 000 1 106 1 600 1 300 3 034 3 000 3 000 Lettonie Luxembourg 54 54 54 39 39 39 27 27 27 12 12 12 Luxembourg Malta 7 6 7 0 0 0 7 6 7 0 0 0 Malte Montenegro 32 32 32 129 129 129 9 9 9 106 106 106 Monténégro Netherlands 2 631 2 520 2 600 95 100 100 3 132 2 900 3 000 596 480 500 Pays-Bas North Macedonia 24 24 24 2 2 2 23 23 23 0 0 0 Macédoine du Nord Poland 4 460 4 550 4 600 4 181 4 300 4 400 1 237 1 250 1 300 958 1 000 1 100 Pologne Portugal 770 770 780 874 880 890 133 120 130 237 230 240 Portugal Serbia 401 438 453 112 130 135 291 310 320 2 2 2 Serbie Slovakia 576 650 700 1 182 1 000 1 050 352 400 400 959 750 750 Slovaquie Slovenia 704 392 439 877 717 729 657 670 690 830 995 980 Slovénie Spain 2 436 3 446 3 712 1 813 2 773 2 940 829 977 1 044 206 304 272 Espagne Sweden 5 123 6 300 6 300 18 500 18 900 18 800 599 500 400 13 976 13 100 12 900 Suède Switzerland 1 216 1 245 1 275 1 120 1 150 1 180 293 280 275 197 185 180 Suisse Turkey 6 337 6 396 6 396 6 091 6 150 6 150 380 380 380 134 134 134 Turquie United Kingdom 9 772 10 769 11 137 3 302 3 633 3 633 6 677 7 345 7 712 208 208 208 Royaume-Uni Total Europe 83 947 90 637 91 535 103 993 108 986 110 207 32 780 35 655 35 188 52 826 54 004 53 861 Total Europe Armenia 182 182 182 0 0 0 182 182 182 0 0 0 Arménie Moldova 221 221 221 2 2 2 219 219 219 0 0 0 Moldova Russia 9 127 10 145 11 250 38 918 40 086 42 090 42 42 42 29 833 29 982 30 882 Russie Total EECCA 9 530 10 549 11 653 38 920 40 088 42 092 444 444 444 29 833 29 983 30 882 Total EOCAC Canada a 13 784 20 386 22 353 39 397 42 849 44 890 631 645 704 26 243 23 108 23 241 Canada a

United States a 86 118 87 846 88 690 62 446 63 831 64 874 25 631 26 033 25 875 1 959 2 019 2 059 Etats-Unis a

Total North America 99 902 108 231 111 043 101 843 106 680 109 764 26 261 26 678 26 579 28 202 25 127 25 300 Total Amérique du Nord a converted from nominal to actual size using factor of 0.72 a convertis du dimension nominale au véritable avec une facteur du 0.72

Production Imports - Importations

TABLE 1

Apparent Consumption Consommation Apparente Pays

SAWN SOFTWOOD SCIAGES CONIFERES

1000 m3 Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

Exports - ExportationsCountry

UNECE COFFI and FAO EFC Foresta2021 page 4

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 273 285 295 237 265 275 165 170 180 129 150 160 Autriche Bosnia-Herzegovina 1 224 1 190 1 230 1 350 1 320 1 360 129 120 130 256 250 260 Bosnie-Herzegovine Cyprus 7 9 9 0 0 0 7 9 9 0 0 0 Chypre Czech Republic 388 385 387 145 145 146 288 290 292 45 50 51 République tchèque Estonia 131 180 180 100 100 100 146 180 180 115 100 100 Estonie Finland 47 42 42 36 36 36 31 31 31 20 25 25 Finlande France 1 143 1 183 1 240 1 336 1 400 1 450 276 281 290 469 499 500 France Germany 660 642 640 962 1 010 1 000 379 416 400 681 784 760 Allemagne Hungary 53 215 215 280 334 334 49 81 81 276 201 201 Hongrie Ireland 29 41 42 2 8 9 29 35 35 3 2 2 Irlande Italy 986 1 259 1 259 612 826 826 521 631 631 147 197 197 Italie Latvia 174 160 200 588 650 600 45 70 50 459 560 450 Lettonie Luxembourg 57 57 57 39 39 39 40 40 40 22 22 22 Luxembourg Malta 7 6 7 0 0 0 7 6 7 0 0 0 Malte Montenegro -23 -23 -23 2 2 2 3 3 3 29 29 29 Monténégro Netherlands 347 328 333 54 51 51 380 357 362 87 80 80 Pays-Bas North Macedonia 5 5 5 5 5 5 5 5 5 5 5 5 Macédoine du Nord Poland 515 540 550 486 510 530 250 280 300 221 250 280 Pologne Portugal 223 219 210 148 149 150 96 100 100 22 30 40 Portugal Serbia 141 155 170 358 375 390 91 95 100 308 315 320 Serbie Slovakia 389 400 425 340 350 400 165 150 150 116 100 125 Slovaquie Slovenia 121 136 136 125 141 141 98 100 100 102 105 105 Slovénie Spain 545 609 693 487 523 544 109 113 178 51 27 29 Espagne Sweden 106 118 103 100 120 110 44 38 30 37 40 37 Suède Switzerland 74 80 85 50 55 60 44 40 40 20 15 15 Suisse Turkey 2 599 2 562 2 562 2 837 2 800 2 800 71 71 71 309 309 309 Turquie United Kingdom 555 555 555 37 37 37 541 541 541 23 23 23 Royaume-Un Total Europe 10 775 11 339 11 607 10 717 11 252 11 395 4 008 4 254 4 336 3 950 4 167 4 124 Total Europe Armenia 2 2 2 0 0 0 2 2 2 1 1 1 Arménie Moldova 12 12 12 9 9 9 4 4 4 0 0 0 Moldova Russia 1 341 1 381 1 479 2 879 2 965 3 143 6 6 6 1 544 1 590 1 670 Russie Total EECCA 1 355 1 395 1 493 2 888 2 974 3 152 12 12 12 1 545 1 591 1 670 Total EOCAC Canada 1 261 1 350 1 350 997 942 855 753 880 959 489 472 464 Canada United States 13 806 14 204 14 409 16 688 16 874 17 009 630 672 692 3 511 3 342 3 293 Etats-Unis Total North America 15 067 15 554 15 759 17 685 17 816 17 864 1 383 1 552 1 651 4 000 3 814 3 757 Total Amérique du Nord

Exports - ExportationsCountry Production Imports - Importations

TABLE 2

Apparent Consumption Consommation Apparente Pays

SAWN HARDWOOD (total) Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

SCIAGES NON-CONIFERES (total)

1000 m3

UNECE COFFI and FAO EFC Foresta2021 page 5

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 269 281 291 237 265 275 161 165 175 129 149 159 Autriche Bosnia-Herzegovina 1 219 1 186 1 226 1 347 1 318 1 358 128 118 128 256 250 260 Bosnie-Herzegovine Cyprus 5 6 6 0 0 0 5 6 6 0 0 0 Chypre Czech Republic 381 379 381 145 145 146 279 281 283 43 48 48 République tchèque Estonia 129 177 177 100 100 100 141 175 175 112 98 98 Estonie Finland 45 41 41 36 36 36 26 27 27 17 22 22 Finlande France 1 007 1 042 1 101 1 325 1 387 1 437 148 150 160 466 495 496 France Germany 624 602 602 961 1 009 999 313 350 338 650 757 735 Allemagne Hungary 53 215 215 280 334 334 49 81 81 276 201 201 Hongrie Ireland 16 27 28 2 8 9 16 21 21 3 2 2 Irlande Italy 869 1 157 1 157 595 821 821 412 525 525 138 188 188 Italie Latvia 174 160 200 588 650 600 45 70 50 459 560 450 Lettonie Luxembourg 52 52 52 39 39 39 34 34 34 22 22 22 Luxembourg Malta 6 6 7 0 0 0 6 6 7 0 0 0 Malte Montenegro -23 -23 -23 2 2 2 3 3 3 29 29 29 Monténégro Netherlands 179 169 174 48 45 45 183 174 179 52 50 50 Pays-Bas North Macedonia 5 5 5 5 5 5 4 4 4 5 5 5 Macédoine du Nord Poland 500 524 534 483 507 527 233 262 282 216 245 275 Pologne Portugal 176 174 163 133 134 135 53 55 50 11 15 22 Portugal Serbia 138 152 167 357 374 389 89 93 98 308 315 320 Serbie Slovakia 389 397 422 340 350 400 165 147 147 116 100 125 Slovaquie Slovenia 119 135 135 125 141 141 95 98 98 102 105 105 Slovénie Spain 501 558 631 486 520 541 63 60 114 47 22 24 Espagne Sweden 105 117 102 100 120 110 42 37 29 37 40 37 Suède Switzerland 65 71 76 47 52 57 38 34 34 20 15 15 Suisse Turkey 2 563 2 526 2 526 2 832 2 795 2 795 39 39 39 308 308 308 Turquie United Kingdom 489 489 489 37 37 37 470 470 470 18 18 18 Royaume-Un Total Europe 10 051 10 623 10 882 10 650 11 195 11 338 3 239 3 486 3 557 3 838 4 057 4 013 Total Europe Armenia 2 2 2 0 0 0 2 2 2 1 1 1 Arménie Moldova 12 12 12 9 9 9 3 3 3 0 0 0 Moldova Russia 1 336 1 376 1 474 2 879 2 965 3 143 1 1 1 1 544 1 590 1 670 Russie Total EECCA 1 350 1 390 1 488 2 888 2 974 3 152 7 7 7 1 545 1 591 1 670 Total EOCAC Canada 1 242 1 350 1 354 997 942 855 728 870 950 482 462 451 Canada United States 13 691 14 076 14 275 16 688 16 874 17 009 469 500 516 3 465 3 298 3 250 Etats-Unis Total North America 14 933 15 427 15 629 17 685 17 816 17 864 1 196 1 370 1 466 3 948 3 760 3 701 Total Amérique du Nord

Exports - ExportationsCountry Production Imports - Importations

TABLE 2a

Apparent Consumption Consommation Apparente Pays

SAWN HARDWOOD (temperate) Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

SCIAGES NON-CONIFERES (zone tempérée)

1000 m3

UNECE COFFI and FAO EFC Foresta2021 page 6

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 4 4 4 0 0 0 5 5 5 1 1 1 Autriche Bosnia-Herzegovina 4 4 4 3 2 2 1 2 2 0 0 0 Bosnie-Herzegovine Bulgaria 0 0 0 0 0 0 0 0 0 0 0 0 Bulgarie Cyprus 2 3 3 0 0 0 2 3 3 0 0 0 Chypre Czech Republic 7 6 6 0 0 0 10 9 9 2 2 3 République tchèque Estonia 2 3 3 0 0 0 5 5 5 2 2 2 Estonie Finland 1 1 1 0 0 0 4 4 4 3 3 3 Finlande France 136 141 139 11 13 13 128 131 130 3 4 4 France Germany 36 40 38 1 1 1 66 66 62 31 27 25 Allemagne Ireland 13 14 14 0 0 0 13 14 14 0 0 0 Irlande Italy 118 102 102 17 5 5 109 106 106 9 9 9 Italie Luxembourg 6 5 5 0 0 0 6 6 6 0 0 0 Luxembourg Malta 1 0 0 0 0 0 1 0 0 0 0 0 Malte Netherlands 168 159 159 6 6 6 197 183 183 35 30 30 Pays-Bas North Macedonia 1 1 1 0 0 0 1 1 1 0 0 0 Macédoine du Nord Poland 15 16 16 3 3 3 17 18 18 5 5 5 Pologne Portugal 47 45 47 15 15 15 43 45 50 11 15 18 Portugal Serbia 3 3 3 1 1 1 2 2 2 0 0 0 Serbie Slovakia 0 3 3 0 0 0 0 3 3 0 0 0 Slovaquie Slovenia 2 1 2 0 0 0 2 2 2 0 0 1 Slovénie Spain 44 51 62 2 3 3 46 53 64 4 5 5 Espagne Sweden 1 1 1 0 0 0 1 1 1 0 0 0 Suède Switzerland 9 9 9 3 3 3 6 6 6 0 0 0 Suisse Turkey 36 36 36 5 5 5 32 32 32 1 1 1 Turquie United Kingdom 67 67 67 0 0 0 71 71 71 5 5 5 Royaume-Un Total Europe 724 715 725 68 57 57 769 768 779 113 110 111 Total Europe Russia 5 5 5 0 0 0 5 5 5 0 0 0 Russie Total EECCA 5 5 5 0 0 0 5 5 5 0 0 0 Total EOCAC Canada 19 0 -4 0 0 0 25 10 9 6 10 13 Canada United States 115 128 134 0 0 0 161 172 177 46 44 43 Etats-Unis Total North America 134 128 130 0 0 0 186 182 186 53 54 56 Total Amérique du Nord

TABLE 2b

Apparent Consumption Consommation Apparente Pays

SAWN HARDWOOD (tropical) SCIAGES NON-CONIFERES (tropicale)

1000 m3

Exports - ExportationsCountry

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

Production Imports - Importations

UNECE COFFI and FAO EFC Foresta2021 page 7

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 45 55 55 8 8 8 55 66 66 17 19 19 Autriche Bosnia-Herzegovina 40 42 42 38 40 42 8 12 12 6 10 12 Bosnie-Herzegovine Cyprus 1 1 1 0 0 0 1 1 1 0 0 0 Chypre Czech Republic 21 35 36 29 29 29 38 60 61 47 55 55 République tchèque Estonia 78 55 55 71 70 70 64 80 80 57 95 95 Estonie Finland 13 12 12 152 173 173 7 9 9 146 170 170 Finlande France 185 200 200 157 160 160 134 140 140 106 100 100 France Germany 150 147 141 100 100 100 104 90 82 55 43 41 Allemagne Hungary 83 85 85 35 43 43 69 69 69 21 27 27 Hongrie Ireland 4 4 4 0 0 0 5 5 5 1 1 1 Irlande Italy 254 277 277 107 107 107 174 206 206 27 36 36 Italie Latvia 120 125 125 0 0 0 148 150 150 28 25 25 Lettonie Luxembourg 0 0 0 0 0 0 0 0 0 0 0 0 Luxembourg Malta 1 1 1 0 0 0 1 1 1 0 0 0 Malte Netherlands 18 18 18 0 0 0 30 30 30 12 12 12 Pays-Bas North Macedonia 9 9 9 0 0 0 10 10 10 1 1 1 Macédoine du Nord Poland 98 101 107 39 41 45 74 75 78 15 15 16 Pologne Portugal 2 10 5 25 45 40 48 30 35 71 65 70 Portugal Serbia 21 23 24 28 30 31 13 14 15 20 21 22 Serbie Slovakia 22 25 25 21 20 20 19 20 20 17 15 15 Slovaquie Slovenia 10 3 5 19 18 18 12 14 14 22 29 27 Slovénie Spain 142 155 176 69 106 106 106 92 119 33 42 49 Espagne Sweden 21 27 23 60 65 60 12 15 13 51 53 50 Suède Switzerland 3 3 3 0 0 0 4 4 4 1 1 1 Suisse Turkey 78 78 78 75 75 75 16 16 16 13 13 13 Turquie United Kingdom 20 20 20 0 0 0 22 22 22 2 2 2 Royaume-Un Total Europe 1 438 1 511 1 527 1 032 1 130 1 127 1 175 1 231 1 259 769 850 859 Total Europe Armenia 0 0 0 0 0 0 0 0 0 0 0 0 Arménie Moldova 15 15 15 0 0 0 15 15 15 0 0 0 Moldova Russia 1 096 1 440 1 692 1 570 1 963 2 257 13 13 13 487 535 578 Russie Total EECCA 1 111 1 455 1 707 1 570 1 963 2 257 28 28 28 487 535 578 Total EOCAC Canada 178 119 111 581 565 565 145 193 203 549 639 656 Canada United States 2 668 2 778 2 851 2 284 2 370 2 445 600 629 632 215 221 226 Etats-Unis Total North America 2 846 2 896 2 962 2 866 2 934 3 010 745 822 835 764 860 883 Total Amérique du Nord Note: Definition of veneers excludes domestic use for plywood. La définition des placages exclus la conversion directe en contreplaqué.

Production Imports - Importations

TABLE 3

Apparent Consumption Consommation Apparente Pays

VENEER SHEETS FEUILLES DE PLACAGE

1000 m3 Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

Exports - ExportationsCountry

UNECE COFFI and FAO EFC Foresta2021 page 8

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 102 62 62 167 167 167 234 275 275 299 380 380 Autriche Bosnia-Herzegovina 26 25 29 28 30 32 15 12 15 16 17 18 Bosnie-Herzegovine Cyprus 17 19 19 0 0 0 17 19 19 0 0 0 Chypre Czech Republic 207 163 167 263 257 262 129 100 105 186 195 200 République tchèque Estonia 82 88 88 165 170 170 93 125 125 176 207 207 Estonie Finland 290 320 320 990 1 170 1 140 128 120 120 828 970 940 Finlande France 550 581 620 234 240 250 477 501 530 161 160 160 France Germany 1 146 840 1 000 100 100 100 1 410 1 100 1 250 363 360 350 Allemagne Hungary 265 275 275 49 58 58 375 310 310 159 93 93 Hongrie Ireland 57 55 57 0 0 0 57 55 57 0 0 0 Irlande Italy 422 528 528 265 265 265 348 464 464 191 201 201 Italie Latvia 61 45 45 318 310 310 100 95 95 357 360 360 Lettonie Luxembourg 8 8 8 0 0 0 10 10 10 2 2 2 Luxembourg Malta 10 12 14 0 0 0 10 12 14 0 0 0 Malte Montenegro 4 4 4 0 0 0 5 5 5 1 1 1 Monténégro Netherlands 546 585 585 0 0 0 635 670 670 89 85 85 Pays-Bas North Macedonia 27 27 27 0 0 0 28 28 28 1 1 1 Macédoine du Nord Poland 590 630 650 483 510 530 415 430 450 309 310 330 Pologne Portugal 195 115 122 91 0 0 118 130 140 14 15 18 Portugal Serbia 36 37 39 11 12 13 31 32 33 6 7 7 Serbie Slovakia 364 380 380 417 425 425 67 75 75 120 120 120 Slovaquie Slovenia 61 83 90 95 109 120 45 64 60 78 90 90 Slovénie Spain 449 501 483 508 580 590 147 202 200 206 281 307 Espagne Sweden 294 250 255 90 95 90 235 195 195 30 40 30 Suède Switzerland 202 209 214 7 7 7 198 205 210 3 3 3 Suisse Turkey 147 147 147 105 105 105 85 85 85 43 43 43 Turquie United Kingdom 1 280 1 280 1 280 0 0 0 1 362 1 362 1 362 83 83 83 Royaume-Un Total Europe 7 436 7 269 7 508 4 386 4 610 4 634 6 771 6 681 6 902 3 721 4 022 4 028 Total Europe Armenia 102 102 102 0 0 0 102 102 102 0 0 0 Arménie Moldova 8 8 8 3 3 3 8 8 8 3 3 3 Moldova Russia 1 215 1 443 1 509 3 999 4 599 4 829 120 126 126 2 904 3 282 3 446 Russie Total EECCA 1 325 1 554 1 619 4 003 4 602 4 832 230 236 236 2 907 3 284 3 448 Total EOCAC Canada 2 377 2 777 2 823 1 673 1 874 1 828 1 248 1 495 1 585 543 592 589 Canada United States 14 029 14 637 14 944 9 500 9 875 10 168 5 058 5 304 5 330 528 542 555 Etats-Unis Total North America 16 406 17 415 17 767 11 172 11 749 11 996 6 305 6 799 6 915 1 071 1 134 1 144 Total Amérique du Nord

TABLE 4

Apparent Consumption Consommation Apparente Pays

PLYWOOD CONTREPLAQUES

1000 m3

Exports - Exportations

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

Country Production Imports - Importations

UNECE COFFI and FAO EFC Foresta2021 page 9

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 719 798 803 2 330 2 480 2 500 308 320 325 1 919 2 002 2 022 Autriche Bosnia-Herzegovina 168 164 165 12 13 12 157 153 155 1 2 2 Bosnie-Herzegovine Cyprus 43 42 42 0 0 0 43 42 42 0 0 0 Chypre Czech Republic 281 400 436 774 1 010 1 040 315 320 323 809 930 927 République tchèque Estonia 170 185 185 180 210 210 73 74 74 83 99 99 Estonie Finland 144 135 135 88 88 88 76 77 77 20 30 30 Finlande France 1 592 2 160 2 508 2 233 2 633 3 033 579 591 640 1 219 1 065 1 165 France Germany 5 789 5 660 5 815 5 556 5 550 5 575 1 903 1 660 1 840 1 670 1 550 1 600 Allemagne Hungary 319 405 405 334 355 355 326 352 352 340 302 302 Hongrie Ireland 101 114 114 0 0 0 116 130 130 16 16 16 Irlande Italy 2 743 2 716 2 716 2 568 2 568 2 568 634 780 780 459 632 632 Italie Latvia 162 160 160 396 400 400 49 50 50 283 290 290 Lettonie Luxembourg 22 22 22 0 0 0 26 26 26 4 4 4 Luxembourg Malta 10 10 10 0 0 0 10 10 10 0 0 0 Malte Montenegro 18 18 18 0 0 0 18 18 18 0 0 0 Monténégro Netherlands 376 404 404 0 0 0 456 484 484 81 80 80 Pays-Bas North Macedonia 95 95 95 0 0 0 96 96 96 1 1 1 Macédoine du Nord Poland 6 640 6 640 6 650 5 739 5 670 5 670 1 626 1 650 1 680 724 680 700 Pologne Portugal 549 647 693 700 710 720 288 365 412 438 428 439 Portugal Serbia 349 362 364 217 220 223 193 195 197 61 53 56 Serbie Slovakia 238 235 235 598 625 625 146 110 110 506 500 500 Slovaquie Slovenia 143 163 157 0 0 0 147 168 160 4 5 4 Slovénie Spain 1 586 1 566 1 544 1 783 1 847 1 855 446 616 645 643 897 956 Espagne Sweden 874 908 895 568 580 565 386 415 410 80 87 80 Suède Switzerland 262 280 300 366 380 390 126 125 130 230 225 220 Suisse Turkey 3 234 3 234 3 234 4 075 4 075 4 075 29 29 29 870 870 870 Turquie United Kingdom 2 203 2 465 2 465 1 698 1 897 1 897 590 649 649 86 81 81 Royaume-Un Total Europe 28 830 29 988 30 569 30 215 31 311 31 801 9 162 9 505 9 844 10 548 10 828 11 075 Total Europe Armenia 122 122 122 0 0 0 122 122 122 0 0 0 Arménie Moldova 93 93 93 0 0 0 93 93 93 0 0 0 Moldova Russia 5 289 6 123 6 498 6 731 7 146 7 535 299 670 789 1 741 1 692 1 825 Russie Total EECCA 5 504 6 337 6 713 6 731 7 146 7 535 514 884 1 004 1 741 1 692 1 825 Total EOCAC Canada 2 010 1 360 1 227 2 277 1 791 1 748 492 609 621 759 1 041 1 142 Canada United States 5 237 5 408 5 515 4 136 4 465 4 553 1 462 1 334 1 359 361 391 398 Etats-Unis Total North America 7 247 6 768 6 742 6 413 6 257 6 302 1 954 1 943 1 980 1 121 1 432 1 539 Total Amérique du Nord Data are calculated by subtracting OSB from the particleboard/OSB total - les données sont calculées en soustrayant les OSB du total des panneaux de particules et OSB.

Production Imports - Importations

TABLE 5

Apparent Consumption Consommation Apparente Pays

PARTICLE BOARD (excluding OSB) PANNEAUX DE PARTICULES (ne comprennent pas l'OSB)

1000 m3 Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

Exports - ExportationsCountry

UNECE COFFI and FAO EFC Foresta2021 page 10

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 177 212 212 0 0 0 182 220 220 5 8 8 Autriche Bosnia-Herzegovina 21 27 30 9 10 12 12 17 19 0 0 1 Bosnie-Herzegovine Cyprus 20 18 18 0 0 0 20 18 18 0 0 0 Chypre Czech Republic 335 260 282 937 745 770 155 165 175 757 650 663 République tchèque Estonia 44 45 45 0 0 0 45 46 46 1 1 1 Estonie Finland 49 49 49 0 0 0 49 49 49 0 0 0 Finlande France 450 440 442 367 367 367 118 109 110 35 35 35 France Germany 1 569 1 640 1 635 1 234 1 250 1 275 846 840 860 511 450 500 Allemagne Hungary 120 124 124 359 332 332 77 60 60 316 268 268 Hongrie Ireland 47 47 47 296 296 296 0 0 0 249 249 249 Irlande Italy 302 302 302 100 100 100 231 231 231 29 29 29 Italie Latvia 116 70 70 698 650 650 71 70 70 653 650 650 Lettonie Luxembourg 76 76 76 338 338 338 7 7 7 269 269 269 Luxembourg Montenegro 3 3 3 0 0 0 3 3 3 0 0 0 Monténégro Netherlands 167 185 185 0 0 0 171 190 190 4 5 5 Pays-Bas North Macedonia 11 11 11 0 0 0 11 11 11 0 0 0 Macédoine du Nord Poland 666 710 750 833 930 980 246 200 220 413 420 450 Pologne Portugal 36 33 37 0 0 0 37 35 38 1 2 1 Portugal Serbia 62 66 69 0 0 0 66 70 73 4 4 4 Serbie Slovakia 91 90 90 0 0 0 91 90 90 1 0 0 Slovaquie Slovenia 34 39 38 0 0 0 35 42 40 1 3 2 Slovénie Spain 11 4 7 2 3 3 34 37 38 25 37 34 Espagne Sweden 140 125 125 0 0 0 146 130 130 6 5 5 Suède Switzerland 90 90 90 0 0 0 90 90 90 0 0 0 Suisse Turkey 170 170 170 75 75 75 101 101 101 6 6 6 Turquie United Kingdom 852 901 901 598 598 598 414 455 455 160 152 152 Royaume-Uni Total Europe 5 659 5 737 5 808 5 846 5 695 5 797 3 260 3 286 3 344 3 447 3 244 3 332 Total Europe Armenia 4 4 4 0 0 0 4 4 4 0 0 0 Arménie Belarus 0 0 0 0 0 0 0 0 0 0 0 0 Bélarus Moldova 34 34 34 0 0 0 34 34 34 0 0 0 Moldova Russia 1 615 1 078 1 260 1 626 1 627 1 953 351 176 140 362 725 833 Russie Total EECCA 1 653 1 116 1 298 1 626 1 627 1 953 389 213 178 362 725 834 Total EOCAC Canada 1 501 1 410 1 341 6 629 7 156 7 199 123 121 120 5 251 5 866 5 978 Canada United States 18 584 19 345 19 723 13 713 14 088 14 366 5 066 5 459 5 561 195 201 204 Etats-Unis Total North America 20 085 20 756 21 064 20 342 21 243 21 565 5 188 5 580 5 681 5 446 6 068 6 183 Total Amérique du Nord

Exports - ExportationsCountry Production Imports - Importations

TABLE 5a

Apparent Consumption Consommation Apparente Pays

ORIENTED STRAND BOARD (OSB) Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

PANNEAUX STRUCTURAUX ORIENTES (OSB)

1000 m3

UNECE COFFI and FAO EFC Foresta2021 page 11

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 436 454 467 576 650 652 339 361 373 479 557 558 Autriche Bosnia-Herzegovina 107 119 125 7 9 10 101 110 117 0 0 2 Bosnie-Herzegovine Cyprus 15 16 16 0 0 0 15 16 16 0 0 0 Chypre Czech Republic 290 194 202 44 45 46 493 406 415 247 256 259 République tchèque Estonia 56 57 57 65 65 65 69 75 75 78 83 83 Estonie Finland 164 150 150 49 49 49 156 148 148 42 47 47 Finlande France 624 794 995 912 1 061 1 161 1 013 1 055 1 058 1 301 1 322 1 224 France Germany 4 097 4 155 4 235 5 801 5 850 5 900 1 784 1 835 1 940 3 488 3 530 3 605 Allemagne Hungary 409 409 409 451 451 451 167 167 167 209 209 209 Hongrie Ireland 168 109 109 512 512 512 102 115 115 445 518 518 Irlande Italy 1 403 1 417 1 417 827 827 827 796 926 926 220 337 337 Italie Latvia 35 32 32 0 0 0 57 53 53 22 21 21 Lettonie Luxembourg 47 47 47 147 147 147 19 19 19 119 119 119 Luxembourg Malta 6 7 8 0 0 0 6 7 8 0 0 0 Malte Montenegro 14 14 14 0 0 0 14 14 14 0 0 0 Monténégro Netherlands 463 469 469 29 29 29 541 585 585 107 145 145 Pays-Bas North Macedonia 53 53 53 0 0 0 53 53 53 0 0 0 Macédoine du Nord Poland 3 676 3 855 4 055 4 844 4 960 5 110 851 875 945 2 019 1 980 2 000 Pologne Portugal 382 391 386 443 453 457 320 323 326 382 385 397 Portugal Serbia 124 133 134 24 26 27 134 143 145 34 36 38 Serbie Slovakia 201 210 210 0 0 0 224 230 230 23 20 20 Slovaquie Slovenia 23 23 23 118 128 128 49 71 60 144 176 165 Slovénie Spain 1 038 1 012 1 138 1 535 1 714 1 874 371 444 465 869 1 146 1 201 Espagne Sweden 268 307 295 0 0 0 347 390 375 78 83 80 Suède Switzerland 272 292 302 192 205 210 263 266 266 183 179 174 Suisse Turkey 4 623 4 623 4 623 4 835 4 835 4 835 74 74 74 286 286 286 Turquie United Kingdom 1 475 1 487 1 487 656 656 656 879 889 889 59 58 58 Royaume-Un Total Europe 20 470 20 828 21 457 22 067 22 672 23 146 9 238 9 650 9 857 10 835 11 494 11 546 Total Europe Armenia 63 63 63 0 0 0 63 63 63 0 0 0 Arménie Moldova 37 37 37 0 0 0 37 37 37 0 0 0 Moldova Russia 2 802 3 415 3 674 3 581 4 301 4 635 459 591 637 1 238 1 476 1 597 Russie Total EECCA 2 902 3 515 3 775 3 581 4 301 4 635 559 691 737 1 238 1 476 1 597 Total EOCAC Canada 1 219 1 573 1 583 1 290 1 340 1 340 761 1 066 1 074 832 832 831 Canada United States 8 244 8 244 8 244 6 058 6 058 6 058 2 876 2 876 2 876 690 690 690 Etats-Unis Total North America 9 463 9 818 9 827 7 348 7 398 7 398 3 638 3 942 3 951 1 523 1 522 1 521 Total Amérique du Nord

Exports - ExportationsCountry Production Imports - Importations

TABLE 6

Apparent Consumption Consommation Apparente Pays

FIBREBOARD Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

PANNEAUX DE FIBRES

1000 m3

UNECE COFFI and FAO EFC Foresta2021 page 12

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 35 30 32 66 70 72 18 17 18 49 57 58 Autriche Bosnia-Herzegovina 11 13 16 1 1 1 10 12 15 0 0 0 Bosnie-Herzegovine Cyprus 2 2 2 0 0 0 2 2 2 0 0 0 Chypre Czech Republic 6 55 57 0 0 0 55 67 68 49 11 11 République tchèque Estonia 26 25 25 0 0 0 28 30 30 3 5 5 Estonie Finland 33 24 24 49 49 49 21 18 18 37 43 43 Finlande France -135 -135 -135 87 87 87 225 225 225 447 447 447 France Germany 203 205 210 0 0 0 231 235 240 28 30 30 Allemagne Hungary 27 27 27 2 2 2 35 35 35 10 10 10 Hongrie Ireland 22 20 20 0 0 0 22 20 20 0 0 0 Irlande Italy 109 109 109 16 16 16 105 105 105 12 12 12 Italie Latvia 13 13 13 0 0 0 15 15 15 2 2 2 Lettonie Luxembourg 5 5 5 0 0 0 5 5 5 0 0 0 Luxembourg Malta 0 1 1 0 0 0 0 1 1 0 0 0 Malte Montenegro 2 2 2 0 0 0 2 2 2 0 0 0 Monténégro Netherlands 43 45 45 0 0 0 64 65 65 21 20 20 Pays-Bas North Macedonia 10 10 10 0 0 0 10 10 10 0 0 0 Macédoine du Nord Poland -157 -80 -10 91 110 110 151 160 180 398 350 300 Pologne Portugal 21 28 25 12 19 20 28 29 30 19 20 25 Portugal Serbia 35 39 40 24 26 27 30 33 34 19 20 21 Serbie Slovakia 22 20 20 0 0 0 23 20 20 1 0 0 Slovaquie Slovenia 1 2 2 0 0 0 9 9 9 8 7 7 Slovénie Spain -4 13 12 32 40 41 34 50 48 70 77 77 Espagne Sweden 71 70 69 0 0 0 81 82 80 10 12 11 Suède Switzerland 13 13 13 0 0 0 21 21 21 8 8 8 Suisse Turkey 7 7 7 0 0 0 57 57 57 50 50 50 Turquie United Kingdom 96 96 96 0 0 0 101 101 101 4 4 4 Royaume-Un Total Europe 517 659 736 380 420 425 1 384 1 425 1 453 1 246 1 186 1 142 Total Europe Armenia 4 4 4 0 0 0 4 4 4 0 0 0 Arménie Moldova 16 16 16 0 0 0 16 16 16 0 0 0 Moldova Russia 322 390 350 370 450 400 100 100 100 148 160 150 Russie Total EECCA 341 409 369 370 450 400 119 119 119 148 160 150 Total EOCAC Canada 63 81 75 90 90 90 65 93 93 92 102 108 Canada United States 211 211 211 212 212 212 238 238 238 239 239 239 Etats-Unis Total North America 274 292 286 302 302 302 303 331 331 331 341 347 Total Amérique du Nord

TABLE 6a

Apparent Consumption Consommation Apparente Pays

HARDBOARD PANNEAUX DURS

1000 m3

Exports - ExportationsCountry

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

Production Imports - Importations

UNECE COFFI and FAO EFC Foresta2021 page 13

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 255 259 260 510 580 580 170 174 175 425 495 495 Autriche Bosnia-Herzegovina 88 94 96 5 6 7 83 88 90 0 0 1 Bosnie-Herzegovine Cyprus 12 13 13 0 0 0 12 13 13 0 0 0 Chypre Czech Republic 198 87 91 44 45 46 253 154 158 99 112 113 République tchèque Estonia 22 23 23 0 0 0 38 41 41 16 18 18 Estonie Finland 111 106 106 0 0 0 115 110 110 4 4 4 Finlande France 706 859 1 060 751 900 1 000 716 757 760 761 798 700 France Germany 2 314 2 325 2 375 4 600 4 625 4 650 593 600 650 2 879 2 900 2 925 Allemagne Hungary 355 355 355 430 430 430 117 117 117 193 193 193 Hongrie Ireland 74 89 89 438 438 438 80 95 95 445 445 445 Irlande Italy 1 229 1 243 1 243 809 809 809 627 757 757 207 323 323 Italie Latvia 21 18 18 0 0 0 23 20 20 2 2 2 Lettonie Luxembourg 37 37 37 147 147 147 9 9 9 119 119 119 Luxembourg Malta 5 5 6 0 0 0 5 5 6 0 0 0 Malte Montenegro 6 6 6 0 0 0 6 6 6 0 0 0 Monténégro Netherlands 318 315 315 0 0 0 399 435 435 81 120 120 Pays-Bas North Macedonia 12 12 12 0 0 0 12 12 12 0 0 0 Macédoine du Nord Poland 3 209 3 300 3 400 3 178 3 250 3 350 684 700 750 653 650 700 Pologne Portugal 360 362 362 423 425 428 280 282 284 343 345 350 Portugal Serbia 85 89 89 0 0 0 100 105 106 15 16 17 Serbie Slovakia 119 120 120 0 0 0 140 140 140 21 20 20 Slovaquie Slovenia 17 16 16 118 128 128 32 54 43 132 166 155 Slovénie Spain 994 950 1 077 1 448 1 617 1 775 326 379 402 780 1 047 1 100 Espagne Sweden 181 220 211 0 0 0 238 280 270 57 60 59 Suède Switzerland 90 105 110 192 205 210 73 70 65 175 170 165 Suisse Turkey 4 669 4 669 4 669 4 775 4 775 4 775 17 17 17 123 123 123 Turquie United Kingdom 1 315 1 327 1 327 656 656 656 710 720 720 51 49 49 Royaume-Un Total Europe 16 801 17 002 17 485 18 524 19 037 19 430 5 859 6 141 6 251 7 582 8 175 8 197 Total Europe Armenia 57 57 57 0 0 0 57 57 57 0 0 0 Arménie Moldova 21 21 21 0 0 0 21 21 21 0 0 0 Moldova Russia 2 448 2 993 3 292 3 199 3 839 4 223 329 461 507 1 080 1 307 1 437 Russie Total EECCA 2 527 3 071 3 371 3 199 3 839 4 223 408 539 585 1 080 1 307 1 438 Total EOCAC Canada 1 041 1 327 1 343 1 100 1 150 1 150 569 793 797 628 615 604 Canada United States 4 836 4 836 4 836 2 667 2 667 2 667 2 453 2 453 2 453 284 284 284 Etats-Unis Total North America 5 877 6 163 6 179 3 767 3 817 3 817 3 022 3 246 3 251 912 899 889 Total Amérique du Nord

MDF/HDF

Country Production Imports - Importations

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

TABLE 6b

Apparent Consumption Consommation Apparente Pays

1000 m3

Exports - Exportations

UNECE COFFI and FAO EFC Foresta2021 page 14

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 146 165 175 0 0 0 151 170 180 5 5 5 Autriche Bosnia-Herzegovina 8 12 13 1 2 2 8 10 12 0 0 1 Bosnie-Herzegovine Cyprus 1 1 1 0 0 0 1 1 1 0 0 0 Chypre Czech Republic 86 52 54 0 0 0 185 185 189 99 133 135 République tchèque Estonia 9 9 9 65 65 65 3 4 4 59 60 60 Estonie Finland 20 20 20 0 0 0 20 20 20 0 0 0 Finlande France 53 70 70 74 74 74 72 73 73 93 77 77 France Germany 1 580 1 625 1 650 1 201 1 225 1 250 961 1 000 1 050 581 600 650 Allemagne Hungary 28 28 28 19 19 19 15 15 15 6 6 6 Hongrie Ireland 73 0 0 73 73 73 0 0 0 0 73 73 Irlande Italy 65 65 65 3 3 3 65 65 65 2 2 2 Italie Latvia 1 1 1 0 0 0 19 18 18 18 17 17 Lettonie Luxembourg 5 5 5 0 0 0 5 5 5 0 0 0 Luxembourg Malta 1 1 1 0 0 0 1 1 1 0 0 0 Malte Montenegro 6 6 6 0 0 0 6 6 6 0 0 0 Monténégro Netherlands 102 109 109 29 29 29 78 85 85 5 5 5 Pays-Bas North Macedonia 32 32 32 0 0 0 32 32 32 0 0 0 Macédoine du Nord Poland 624 635 665 1 575 1 600 1 650 17 15 15 968 980 1 000 Pologne Portugal 0 1 -1 8 9 9 12 12 12 19 20 22 Portugal Serbia 4 5 5 0 0 0 4 5 5 0 0 0 Serbie Slovakia 60 70 70 0 0 0 60 70 70 0 0 0 Slovaquie Slovenia 5 5 5 0 0 0 8 8 8 3 3 3 Slovénie Spain 48 49 49 55 57 58 11 15 15 18 23 24 Espagne Sweden 16 17 15 0 0 0 28 28 25 12 11 10 Suède Switzerland 169 174 179 0 0 0 169 175 180 1 1 1 Suisse Turkey -53 -53 -53 60 60 60 0 0 0 113 113 113 Turquie United Kingdom 64 64 64 0 0 0 68 68 68 4 4 4 Royaume-Un Total Europe 3 152 3 167 3 236 3 163 3 215 3 291 1 996 2 085 2 153 2 007 2 133 2 208 Total Europe Armenia 2 2 2 0 0 0 2 2 2 0 0 0 Arménie Moldova 1 1 1 0 0 0 1 1 1 0 0 0 Moldova Russia 32 32 32 12 12 12 30 30 30 10 10 10 Russie Total EECCA 35 35 35 12 12 12 32 32 32 10 10 10 Total EOCAC Canada 115 165 166 100 100 100 127 180 184 112 115 118 Canada United States 3 197 3 197 3 197 3 179 3 179 3 179 185 185 185 167 167 167 Etats-Unis Total North America 3 312 3 362 3 363 3 279 3 279 3 279 312 365 369 279 282 285 Total Amérique du Nord

Production Imports - Importations

TABLE 6c

Apparent Consumption Consommation Apparente Pays

OTHER FIBREBOARD AUTRES PANNEAUX DE FIBRES

1000 m3 Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

Exports - ExportationsCountry

UNECE COFFI and FAO EFC Foresta2021 page 15

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 2 158 2 300 2 330 2 022 2 020 2 100 578 680 680 442 400 450 Autriche Bosnia-Herzegovina 111 118 118 70 75 76 41 43 42 0 0 0 Bosnie-Herzegovine Czech Republic 805 831 772 594 591 611 253 240 250 42 0 89 République tchèque Estonia 81 70 70 231 250 250 47 50 50 198 230 230 Estonie Finland a 6 411 6 802 6 616 10 520 11 318 11 331 224 220 220 4 333 4 736 4 935 Finlande a

France 2 918 2 927 2 800 1 620 1 650 1 600 1 745 1 726 1 700 447 449 500 France Germany 5 015 5 167 5 178 2 255 2 267 2 278 3 952 4 000 4 000 1 192 1 100 1 100 Allemagne Hungary 195 177 177 51 33 33 147 145 145 4 2 2 Hongrie Ireland 41 45 45 0 0 0 41 45 45 0 0 0 Irlande Italy 3 416 3 416 3 416 223 223 223 3 271 3 271 3 271 77 77 77 Italie Latvia 1 1 1 0 0 0 1 1 1 0 0 0 Lettonie Luxembourg 0 0 0 0 0 0 0 0 0 0 0 0 Luxembourg Netherlands 1 137 1 057 737 37 37 37 1 782 1 900 1 500 682 880 800 Pays-Bas Poland 2 709 2 750 2 810 1 717 1 730 1 750 1 152 1 180 1 230 159 160 170 Pologne Portugal 1 506 1 615 1 650 2 683 2 700 2 750 143 145 150 1 320 1 230 1 250 Portugal Serbia 86 88 90 0 0 0 86 88 90 0 0 0 Serbie Slovakia 537 550 550 687 675 675 162 175 175 312 300 300 Slovaquie Slovenia 367 353 347 91 83 85 289 275 270 13 5 8 Slovénie Spain 1 847 1 837 1 933 1 730 1 798 1 923 1 047 1 088 1 209 929 1 049 1 199 Espagne Sweden 8 437 8 460 8 260 12 034 12 100 11 850 653 610 610 4 250 4 250 4 200 Suède Switzerland 171 160 160 72 70 70 99 90 90 0 0 0 Suisse Turkey 1 381 989 1 138 70 70 70 1 442 1 050 1 200 131 131 132 Turquie United Kingdom 971 924 924 220 220 220 768 721 721 17 17 17 Royaume-Uni Total Europe 40 301 40 637 40 122 36 927 37 909 37 932 17 924 17 744 17 650 14 549 15 016 15 459 Total Europe Russia 6 532 6 548 6 677 8 765 8 853 9 030 211 213 215 2 444 2 517 2 568 Russie Total EECCA 6 532 6 548 6 677 8 765 8 853 9 030 211 213 215 2 444 2 517 2 568 Total EOCAC Canada 5 731 6 411 6 547 14 109 14 198 13 702 640 1 109 1 555 9 018 8 896 8 710 Canada United States 48 726 48 750 48 763 50 871 50 895 50 907 5 661 5 664 5 665 7 806 7 809 7 809 Etats-Unis Total North America 54 457 55 161 55 310 64 980 65 093 64 609 6 301 6 773 7 220 16 825 16 705 16 519 Total Amérique du Nord

a imports exclude dissolving pulp a les importations excluent pâte à dissoudre

Exports - ExportationsCountry Production Imports - Importations

TABLE 7

Apparent Consumption Consommation Apparente Pays

WOOD PULP Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

PATE DE BOIS

1000 mt

UNECE COFFI and FAO EFC Foresta2021 page 16

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 2 111 2 170 2 200 4 719 5 050 5 100 1 275 1 300 1 350 3 882 4 180 4 250 Autriche Bosnia-Herzegovina 154 160 166 167 180 182 99 100 106 113 120 122 Bosnie-Herzegovine Cyprus 46 48 48 0 0 0 46 48 48 0 0 0 Chypre Czech Republic 1 451 1 460 1 474 893 904 924 1 436 1 447 1 480 878 891 930 République tchèque Estonia 134 140 140 72 75 75 133 140 140 71 75 75 Estonie Finland 702 740 720 8 210 8 750 8 540 319 320 320 7 827 8 330 8 140 Finlande France 7 904 8 069 8 300 6 873 7 000 7 300 4 487 4 661 4 500 3 456 3 592 3 500 France Germany 18 251 18 660 18 983 21 348 23 060 23 383 9 999 10 000 10 000 13 096 14 400 14 400 Allemagne Hungary 928 944 944 864 861 861 841 852 852 777 769 769 Hongrie Ireland 422 410 415 60 65 70 388 370 375 26 25 30 Irlande Italy 10 204 10 204 10 204 8 514 8 514 8 514 4 773 4 773 4 773 3 083 3 083 3 083 Italie Latvia 163 160 160 25 30 30 170 170 170 32 40 40 Lettonie Luxembourg 25 25 25 0 0 0 31 31 31 6 6 6 Luxembourg Malta 26 23 24 0 0 0 26 23 24 0 0 0 Malte Montenegro 10 10 10 0 0 0 10 10 10 0 0 0 Monténégro Netherlands 2 608 2 670 2 670 2 869 2 870 2 870 2 278 2 300 2 300 2 539 2 500 2 500 Pays-Bas North Macedonia 79 79 79 28 28 28 68 68 68 16 16 16 Macédoine du Nord Poland 7 332 7 400 7 500 5 129 5 250 5 350 4 677 4 700 4 750 2 474 2 550 2 600 Pologne Portugal 1 007 1 050 990 1 900 2 000 2 030 858 850 860 1 751 1 800 1 900 Portugal Serbia 727 733 737 577 580 583 452 456 459 302 303 305 Serbie Slovakia 476 600 600 758 900 950 427 400 400 709 700 750 Slovaquie Slovenia 833 730 680 706 650 600 757 710 710 630 630 630 Slovénie Spain 6 483 6 541 6 390 6 269 6 473 6 477 2 734 2 823 2 917 2 520 2 756 3 004 Espagne Sweden 1 428 1 195 1 090 9 333 9 130 8 800 656 665 650 8 561 8 600 8 360 Suède Switzerland 1 050 1 050 1 055 1 168 1 170 1 175 621 610 600 739 730 720 Suisse Turkey 4 489 4 489 4 489 2 800 2 800 2 800 2 505 2 505 2 505 816 816 816 Turquie United Kingdom 7 321 7 207 7 225 3 631 3 600 3 550 4 439 4 325 4 375 749 718 700 Royaume-Un Total Europe 76 362 76 966 77 318 86 911 89 940 90 192 44 504 44 656 44 772 55 053 57 630 57 646 Total Europe Armenia 61 61 61 21 21 21 41 41 41 0 0 0 Arménie Moldova 44 44 44 8 8 8 39 39 39 2 2 2 Moldova Russia 7 116 7 615 7 952 9 527 10 194 10 704 1 191 1 167 1 143 3 601 3 745 3 895 Russie Total EECCA 7 222 7 721 8 057 9 556 10 223 10 733 1 270 1 246 1 223 3 604 3 748 3 898 Total EOCAC Canada 4 720 4 715 4 572 8 352 8 604 8 379 2 362 2 474 2 406 5 994 6 363 6 213 Canada United States 63 567 66 128 67 399 66 239 68 536 70 152 7 642 7 832 7 870 10 314 10 240 10 623 Etats-Unis Total North America 68 287 70 843 71 971 74 591 77 140 78 532 10 003 10 306 10 276 16 308 16 603 16 836 Total Amérique du Nord

Exports - ExportationsCountry Production Imports - Importations

TABLE 8

Apparent Consumption Consommation Apparente Pays

PAPER AND PAPERBOARD Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

PAPIERS ET CARTONS

1000 mt

UNECE COFFI and FAO EFC Foresta2021 page 17

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 11 462 12 924 13 110 8 504 9 732 9 830 2 958 3 192 3 280 0 0 0 5 327 5 111 5 200 16 790 18 035 18 310 Autriche Bosnia-Herzegovina 2 819 2 806 2 848 2 031 2 016 2 050 614 624 626 174 166 172 1 484 1 502 1 496 4 303 4 308 4 344 Bosnie-Herzegovine Cyprus 2 2 2 2 2 2 0 0 0 0 0 0 6 7 7 9 9 9 Chypre Czech Republic 29 152 21 353 18 590 20 678 13 107 10 325 8 359 8 133 8 150 115 113 115 6 717 7 160 7 210 35 869 28 513 25 800 République tchèque Estonia 6 502 6 100 6 100 4 134 3 900 3 900 2 316 2 150 2 150 52 50 50 4 136 3 830 3 830 10 637 9 930 9 930 Estonie Finland 51 530 56 946 57 515 22 479 25 857 25 679 29 051 31 089 31 836 0 0 0 8 893 8 893 8 893 60 423 65 839 66 407 Finlande France 24 259 25 840 25 080 15 965 17 400 16 700 7 793 7 900 7 800 501 540 580 23 444 24 500 25 700 47 703 50 340 50 780 France Germany 61 790 62 377 61 177 48 213 48 900 47 300 13 503 13 400 13 800 74 77 77 22 261 21 300 21 300 84 051 83 677 82 477 Allemagne Hungary 2 457 2 796 2 796 1 155 1 257 1 257 902 919 919 400 619 619 2 516 2 672 2 672 4 972 5 468 5 468 Hongrie Ireland 3 695 3 542 3 772 2 350 2 485 2 647 1 197 877 934 148 180 192 286 232 247 3 981 3 774 4 019 Irlande Italy 5 002 5 002 5 002 3 352 3 352 3 352 1 018 1 018 1 018 632 632 632 10 839 10 839 10 839 15 841 15 841 15 841 Italie Latvia 12 727 12 350 12 350 7 379 7 400 7 400 4 123 3 850 3 850 1 225 1 100 1 100 2 620 2 580 2 580 15 347 14 930 14 930 Lettonie Luxembourg 291 340 332 81 88 86 104 166 160 106 86 86 59 77 73 350 416 405 Luxembourg Montenegro 299 150 234 249 124 187 43 22 42 7 4 5 49 25 37 348 174 271 Monténégro Netherlands 662 725 725 214 260 260 402 420 420 46 45 45 2 323 2 325 2 325 2 985 3 050 3 050 Pays-Bas North Macedonia 125 125 125 114 114 114 0 0 0 11 11 11 610 610 610 735 735 735 Macédoine du Nord Poland 35 879 37 290 38 050 16 913 17 200 17 400 18 355 19 400 19 900 612 690 750 4 713 4 800 4 900 40 593 42 090 42 950 Pologne Portugal 11 803 12 316 12 190 1 916 2 066 1 980 9 540 9 900 9 850 347 350 360 1 618 1 500 1 560 13 422 13 816 13 750 Portugal Serbia 1 782 1 806 1 830 1 217 1 230 1 238 388 396 408 177 180 184 6 454 6 550 6 705 8 236 8 356 8 535 Serbie Slovakia 6 924 7 185 7 435 3 913 4 100 4 250 2 984 3 050 3 150 26 35 35 524 525 575 7 448 7 710 8 010 Slovaquie Slovenia 2 818 2 383 2 476 1 971 1 600 1 700 797 720 720 50 63 56 1 074 1 070 1 070 3 891 3 453 3 546 Slovénie Spain 13 881 14 462 14 848 4 114 4 241 4 438 9 431 9 740 9 901 336 481 509 1 615 1 648 1 758 15 496 16 110 16 606 Espagne Sweden 69 000 71 000 70 400 37 200 38 400 37 600 31 500 32 300 32 500 300 300 300 5 400 5 600 5 600 74 400 76 600 76 000 Suède Switzerland 2 807 2 933 3 003 2 322 2 440 2 500 482 490 500 3 3 3 1 845 1 890 1 960 4 652 4 823 4 963 Suisse Turkey 24 474 24 790 24 790 10 889 11 000 11 000 12 447 12 650 12 650 1 138 1 140 1 140 5 396 5 856 5 856 29 870 30 646 30 646 Turquie United Kingdom 8 009 8 636 8 636 5 892 6 475 6 475 1 632 1 632 1 632 485 528 528 2 429 2 429 2 429 10 438 11 065 11 065 Royaume-Uni Total Europe 390 151 396 178 393 415 223 248 224 746 219 670 159 938 164 038 166 197 6 965 7 393 7 549 122 638 123 531 125 432 512 789 519 708 518 848 Total Europe Armenia 4 4 4 0 0 0 0 0 0 4 4 4 1 546 1 546 1 546 1 550 1 550 1 550 Arménie Moldova 45 45 45 31 31 31 0 0 0 14 14 14 1 219 1 219 1 219 1 264 1 264 1 264 Moldova Russia 201 891 205 132 198 720 135 325 137 274 132 286 48 954 50 070 49 541 17 612 17 788 16 894 15 109 15 260 14 805 217 000 220 392 213 525 Russie Total EECCA 201 941 205 182 198 769 135 356 137 305 132 317 48 954 50 070 49 541 17 630 17 806 16 912 17 873 18 024 17 569 219 814 223 206 216 338 Total EOCAC Canada 130 430 125 381 125 381 116 298 111 984 111 984 12 278 11 544 11 544 1 853 1 853 1 853 1 750 1 750 1 750 132 180 127 132 127 132 Canada United States 369 175 380 381 383 613 180 237 191 345 194 529 175 722 175 805 175 846 13 215 13 230 13 238 60 525 60 588 60 622 429 700 440 969 444 235 Etats-Unis Total North America 499 604 505 762 508 995 296 536 303 330 306 513 188 000 187 349 187 390 15 069 15 083 15 091 62 276 62 338 62 372 561 880 568 101 571 367 Total Amérique du Nord

a Pulpwood, round and split, as well as chips and particles produced directly a Bois de trituration, rondins et quartiers, ainse que plaquettes et particules fabriquées therefrom and used as pulpwood directement à partir des rondins et quartiers et utilisées comme bois de trituration

b Pitprops, poles, piling, posts etc. b Bois de mine, poteaux, pilotis, piquets etc. c Including chips and particles produced from wood in the rough and c Y compris plaquettes et particules fabriquées à partir du bois brut et utilisées

used for energy purposes à des fins energétiques

Bois de trituration a

TABLE 9

Autre b Wood fuel c

Bois de chauffage c Total PaysCountry Grumes

LogsTotal Pulpwood a Other b

Industrial wood - Bois industriels

QUANTITES ENLEVEES DE BOIS BRUT TOTAL

REMOVALS OF WOOD IN THE ROUGH TOTAL

1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

UNECE COFFI and FAO EFC Foresta2021 page 18

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 10 587 11 920 12 100 8 229 9 410 9 500 2 358 2 510 2 600 0 0 0 3 359 3 067 3 200 13 946 14 987 15 300 Autriche Bosnia-Herzegovina 2 120 2 097 2 133 1 417 1 390 1 420 559 567 570 144 140 143 5 7 6 2 125 2 104 2 139 Bosnie-Herzegovine Cyprus 2 2 2 2 2 2 0 0 0 0 0 0 5 6 6 7 8 8 Chypre Czech Republic 28 432 20 624 17 850 20 286 12 716 9 942 8 036 7 799 7 798 110 109 110 6 165 6 615 6 675 34 597 27 239 24 525 République tchèque Estonia 4 434 4 200 4 200 3 259 3 100 3 100 1 148 1 075 1 075 27 25 25 1 426 1 330 1 330 5 861 5 530 5 530 Estonie Finland 43 228 48 622 48 806 21 593 24 690 24 512 21 635 23 931 24 294 0 0 0 4 304 4 304 4 304 47 532 52 926 53 110 Finlande France 16 361 17 840 16 860 11 669 13 000 12 000 4 479 4 600 4 600 213 240 260 2 344 2 500 2 700 18 705 20 340 19 560 France Germany 56 362 57 175 56 075 45 700 46 500 45 000 10 590 10 600 11 000 72 75 75 9 005 8 500 8 500 65 366 65 675 64 575 Allemagne Hungary 858 832 832 169 159 159 596 542 542 94 130 130 142 116 116 1 000 948 948 Hongrie Ireland 3 692 3 532 3 762 2 347 2 475 2 636 1 197 877 934 148 180 192 276 120 128 3 968 3 652 3 889 Irlande Italy 4 125 4 125 4 125 2 792 2 792 2 792 853 853 853 480 480 480 1 180 1 180 1 180 5 305 5 305 5 305 Italie Latvia 8 407 8 100 8 100 5 476 5 400 5 400 2 241 2 100 2 100 690 600 600 285 280 280 8 692 8 380 8 380 Lettonie Luxembourg 209 169 169 63 51 51 40 32 32 106 86 86 37 30 30 246 198 199 Luxembourg Montenegro 167 84 136 148 74 111 17 9 23 2 1 2 5 3 4 172 87 139 Monténégro Netherlands 446 475 475 154 180 180 255 260 260 37 35 35 423 425 425 869 900 900 Pays-Bas North Macedonia 51 51 51 41 41 41 0 0 0 10 10 10 26 26 26 77 77 77 Macédoine du Nord Poland 28 625 29 550 29 800 14 167 14 400 14 500 13 886 14 500 14 600 572 650 700 2 297 2 350 2 400 30 922 31 900 32 200 Pologne Portugal 3 974 4 316 4 190 1 696 1 866 1 800 2 130 2 300 2 230 147 150 160 422 400 410 4 396 4 716 4 600 Portugal Serbia 372 381 390 229 235 240 94 96 98 49 50 52 142 150 155 514 531 545 Serbie Slovakia 3 776 3 925 4 025 2 598 2 700 2 750 1 157 1 200 1 250 21 25 25 259 250 300 4 035 4 175 4 325 Slovaquie Slovenia 1 985 1 445 1 595 1 624 1 200 1 300 346 230 280 15 15 15 121 120 120 2 106 1 565 1 715 Slovénie Spain 6 836 7 224 7 522 3 150 3 276 3 473 3 489 3 665 3 751 197 282 298 483 516 626 7 319 7 740 8 148 Espagne Sweden 62 550 64 450 63 750 37 000 38 200 37 400 25 400 26 100 26 200 150 150 150 2 700 2 800 2 800 65 250 67 250 66 550 Suède Switzerland 2 403 2 512 2 567 2 093 2 200 2 250 308 310 315 2 2 2 786 790 810 3 189 3 302 3 377 Suisse Turkey 15 721 15 925 15 925 7 429 7 500 7 500 7 222 7 350 7 350 1 070 1 075 1 075 2 756 2 756 2 756 18 477 18 681 18 681 Turquie United Kingdom 7 896 8 523 8 523 5 829 6 412 6 412 1 630 1 630 1 630 436 480 480 1 817 1 817 1 817 9 713 10 339 10 339 Royaume-Uni Total Europe 313 618 318 097 313 962 199 160 199 969 194 471 109 665 113 137 114 386 4 793 4 990 5 105 40 770 40 456 41 103 354 388 358 553 355 065 Total Europe Armenia 4 4 4 0 0 0 0 0 0 4 4 4 0 0 0 4 4 4 Arménie Moldova 1 1 1 1 1 1 0 0 0 0 0 0 2 2 2 3 3 3 Moldova Russia 161 011 162 621 153 754 120 439 121 644 115 562 33 289 33 622 31 941 7 283 7 356 6 252 10 752 10 859 10 316 171 763 173 480 164 071 Russie Total EECCA 161 016 162 626 153 759 120 440 121 645 115 563 33 289 33 622 31 941 7 287 7 360 6 256 10 754 10 861 10 318 171 770 173 487 164 078 Total EOCAC Canada 107 661 103 728 103 728 103 717 100 117 100 117 3 804 3 470 3 470 140 140 140 805 805 805 108 466 104 533 104 533 Canada United States 293 023 296 554 299 112 147 988 151 442 153 962 133 458 133 521 133 552 11 578 11 591 11 598 26 345 26 374 26 390 319 368 322 928 325 502 Etats-Unis Total North America 400 685 400 282 402 839 251 705 251 559 254 079 137 262 136 992 137 023 11 718 11 731 11 738 27 150 27 179 27 195 427 834 427 461 430 034 Total Amérique du Nord

a Pulpwood, round and split, as well as chips and particles produced directly a Bois de trituration, rondins et quartiers, ainse que plaquettes et particules fabriquées therefrom and used as pulpwood directement à partir des rondins et quartiers et utilisées comme bois de trituration

b Pitprops, poles, piling, posts etc. b Bois de mine, poteaux, pilotis, piquets etc. c Including chips and particles produced from wood in the rough and c Y compris plaquettes et particules fabriquées à partir du bois brut et utilisées

used for energy purposes à des fins energétiques

Pulpwood a Other b Industrial wood - Bois industriels

QUANTITES ENLEVEES DE BOIS BRUT CONIFERES

REMOVALS OF WOOD IN THE ROUGH SOFTWOOD

1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

Bois de trituration a

TABLE 9a

Autre b Wood fuel c

Bois de chauffage c Total PaysCountry Grumes

LogsTotal

UNECE COFFI and FAO EFC Foresta2021 page 19

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 876 1 004 1 010 275 322 330 600 682 680 0 0 0 1 968 2 044 2 000 2 843 3 048 3 010 Autriche Bosnia-Herzegovina 699 709 715 614 626 630 55 57 56 30 26 29 1 479 1 495 1 490 2 178 2 204 2 205 Bosnie-Herzegovine Cyprus 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 Chypre Czech Republic 720 729 740 392 391 383 323 334 352 5 4 5 552 545 535 1 272 1 274 1 275 République tchèque Estonia 2 068 1 900 1 900 875 800 800 1 168 1 075 1 075 25 25 25 2 709 2 500 2 500 4 777 4 400 4 400 Estonie Finland 8 302 8 324 8 708 886 1 167 1 167 7 416 7 158 7 542 0 0 0 4 589 4 589 4 589 12 891 12 913 13 297 Finlande France 7 898 8 000 8 220 4 296 4 400 4 700 3 314 3 300 3 200 288 300 320 21 100 22 000 23 000 28 998 30 000 31 220 France Germany 5 428 5 202 5 102 2 513 2 400 2 300 2 913 2 800 2 800 2 2 2 13 257 12 800 12 800 18 685 18 002 17 902 Allemagne Hungary 1 598 1 964 1 964 986 1 098 1 098 306 377 377 306 489 489 2 374 2 557 2 557 3 972 4 520 4 520 Hongrie Ireland 3 10 11 3 10 11 0 0 0 0 0 0 10 112 119 13 122 130 Irlande Italy 877 877 877 560 560 560 166 166 166 152 152 152 9 659 9 659 9 659 10 536 10 536 10 536 Italie Latvia 4 320 4 250 4 250 1 903 2 000 2 000 1 882 1 750 1 750 535 500 500 2 335 2 300 2 300 6 655 6 550 6 550 Lettonie Luxembourg 82 171 163 18 37 35 64 134 128 0 0 0 22 47 43 104 218 206 Luxembourg Montenegro 132 66 99 101 50 76 26 13 19 5 3 4 44 22 33 176 88 132 Monténégro Netherlands 216 250 250 60 80 80 147 160 160 9 10 10 1 900 1 900 1 900 2 116 2 150 2 150 Pays-Bas North Macedonia 74 74 74 73 73 73 0 0 0 1 1 1 584 584 584 658 658 658 Macédoine du Nord Poland 7 254 7 740 8 250 2 747 2 800 2 900 4 468 4 900 5 300 40 40 50 2 416 2 450 2 500 9 670 10 190 10 750 Pologne Portugal 7 830 8 000 8 000 220 200 180 7 410 7 600 7 620 200 200 200 1 196 1 100 1 150 9 026 9 100 9 150 Portugal Serbia 1 410 1 425 1 440 988 995 998 294 300 310 128 130 132 6 312 6 400 6 550 7 722 7 825 7 990 Serbie Slovakia 3 148 3 260 3 410 1 316 1 400 1 500 1 828 1 850 1 900 5 10 10 265 275 275 3 413 3 535 3 685 Slovaquie Slovenia 833 938 881 348 400 400 450 490 440 35 48 41 952 950 950 1 785 1 888 1 831 Slovénie Spain 7 045 7 239 7 326 964 965 965 5 942 6 074 6 150 139 199 211 1 132 1 132 1 132 8 177 8 371 8 458 Espagne Sweden 6 450 6 550 6 650 200 200 200 6 100 6 200 6 300 150 150 150 2 700 2 800 2 800 9 150 9 350 9 450 Suède Switzerland 404 421 436 229 240 250 174 180 185 1 1 1 1 059 1 100 1 150 1 463 1 521 1 586 Suisse Turkey 8 753 8 865 8 865 3 460 3 500 3 500 5 225 5 300 5 300 68 65 65 2 640 3 100 3 100 11 393 11 965 11 965 Turquie United Kingdom 113 113 113 63 63 63 2 2 2 48 48 48 613 613 613 726 726 726 Royaume-Uni Total Europe 76 532 78 080 79 454 24 088 24 777 25 199 50 273 50 901 51 811 2 171 2 402 2 444 81 868 83 074 84 330 158 401 161 155 163 783 Total Europe Armenia 0 0 0 0 0 0 0 0 0 0 0 0 1 546 1 546 1 546 1 546 1 546 1 546 Arménie Moldova 44 44 44 30 30 30 0 0 0 14 14 14 1 217 1 217 1 217 1 261 1 261 1 261 Moldova Russia 40 880 42 511 44 965 14 886 15 630 16 724 15 665 16 449 17 600 10 329 10 433 10 641 4 357 4 401 4 489 45 237 46 912 49 454 Russie Total EECCA 40 925 42 556 45 010 14 916 15 660 16 754 15 665 16 449 17 600 10 343 10 447 10 655 7 120 7 163 7 251 48 044 49 719 52 261 Total EOCAC Canada 22 768 21 654 21 654 12 581 11 867 11 867 8 474 8 073 8 073 1 713 1 713 1 713 946 946 946 23 714 22 599 22 599 Canada United States 76 151 83 827 84 502 32 250 39 903 40 567 42 264 42 284 42 294 1 638 1 639 1 640 34 180 34 214 34 232 110 332 118 041 118 734 Etats-Unis Total North America 98 920 105 481 106 155 44 831 51 771 52 435 50 738 50 358 50 368 3 351 3 352 3 353 35 126 35 160 35 178 134 046 140 640 141 333 Total Amérique du Nord

a Pulpwood, round and split, as well as chips and particles produced directly a Bois de trituration, rondins et quartiers, ainse que plaquettes et particules fabriquées therefrom and used as pulpwood directement à partir des rondins et quartiers et utilisées comme bois de trituration

b Pitprops, poles, piling, posts etc. b Bois de mine, poteaux, pilotis, piquets etc. c Including chips and particles produced from wood in the rough and c Y compris plaquettes et particules fabriquées à partir du bois brut et utilisées

used for energy purposes à des fins energétiques

Bois de trituration a

TABLE 9b

Autre b Wood fuel c

Bois de chauffage c Total PaysCountry Grumes

LogsTotal Pulpwood a Other b

Industrial wood - Bois industriels

QUANTITES ENLEVEES DE BOIS BRUT NON-CONIFERES

REMOVALS OF WOOD IN THE ROUGH HARDWOOD

1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

UNECE COFFI and FAO EFC Foresta2021 page 20

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 16 525 17 280 17 550 8 229 9 410 9 500 8 705 8 320 8 500 409 450 450 Autriche Bosnia-Herzegovina 1 459 1 433 1 469 1 417 1 390 1 420 57 60 65 15 17 16 Bosnie-Herzegovine Cyprus 2 2 2 2 2 2 0 0 0 0 0 0 Chypre Czech Republic 9 100 8 655 8 790 20 286 12 716 9 942 555 545 560 11 741 4 606 1 712 République tchèque Estonia 3 436 3 470 3 470 3 259 3 100 3 100 259 450 450 82 80 80 Estonie Finland 21 577 24 602 24 339 21 593 24 690 24 512 322 203 118 338 291 291 Finlande France 11 019 12 370 11 400 11 669 13 000 12 000 184 232 300 834 862 900 France Germany 43 600 42 000 43 000 45 700 46 500 45 000 3 900 3 500 4 000 6 000 8 000 6 000 Allemagne Hungary 169 159 159 169 159 159 0 0 0 0 0 0 Hongrie Ireland 2 397 2 525 2 686 2 347 2 475 2 636 300 320 320 250 270 270 Irlande Italy 2 792 2 792 2 792 2 792 2 792 2 792 0 0 0 0 0 0 Italie Latvia 6 183 6 030 6 030 5 476 5 400 5 400 897 850 850 190 220 220 Lettonie Luxembourg 336 324 324 63 51 51 524 524 524 251 251 251 Luxembourg Montenegro 148 74 111 148 74 111 0 0 0 0 0 0 Monténégro Netherlands 134 188 188 154 180 180 65 83 83 85 75 75 Pays-Bas North Macedonia 41 41 41 41 41 41 0 0 0 0 0 0 Macédoine du Nord Poland 13 685 14 000 14 200 14 167 14 400 14 500 1 227 1 250 1 300 1 709 1 650 1 600 Pologne Portugal 2 099 1 986 1 915 1 696 1 866 1 800 428 150 140 25 30 25 Portugal Serbia 246 254 261 229 235 240 20 22 24 3 3 3 Serbie Slovakia 2 727 3 200 3 250 2 598 2 700 2 750 898 900 900 769 400 400 Slovaquie Slovenia 1 467 1 260 1 300 1 624 1 200 1 300 367 350 320 523 290 320 Slovénie Spain 3 245 3 342 3 634 3 150 3 276 3 473 215 226 381 121 160 220 Espagne Sweden 37 054 38 279 37 479 37 000 38 200 37 400 718 743 743 664 664 664 Suède Switzerland 1 808 1 930 1 995 2 093 2 200 2 250 55 50 55 340 320 310 Suisse Turkey 7 424 7 490 7 490 7 429 7 500 7 500 15 10 10 20 20 20 Turquie United Kingdom 6 051 6 634 6 634 5 829 6 412 6 412 330 330 330 108 108 108 Royaume-Un Total Europe 194 723 200 321 200 509 199 160 199 969 194 471 20 042 19 119 19 973 24 478 18 767 13 935 Total Europe Moldova 1 1 1 1 1 1 0 0 0 0 0 0 Moldova Russia 108 143 109 224 108 110 120 439 121 644 115 562 0 0 0 12 297 12 420 7 452 Russie Total EECCA 108 144 109 225 108 111 120 440 121 645 115 563 0 0 0 12 297 12 420 7 452 Total EOCAC Canada 99 569 94 455 93 946 103 717 100 117 100 117 2 682 2 525 2 612 6 830 8 187 8 783 Canada United States 139 741 144 640 143 529 147 988 151 442 153 962 285 302 320 8 531 7 104 10 752 Etats-Unis Total North America 239 311 239 094 237 475 251 705 251 559 254 079 2 967 2 826 2 931 15 361 15 291 19 535 Total Amérique du Nord

a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce

Production Imports - Importations

TABLE 10

Apparent Consumption a

Consommation Apparente a Pays

SOFTWOOD SAWLOGS GRUMES DE SCIAGES DES CONIFERES

1000 m3 Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

Exports - ExportationsCountry

UNECE COFFI and FAO EFC Foresta2021 page 21

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 395 452 460 275 322 330 160 180 180 40 50 50 Autriche Bosnia-Herzegovina 614 630 630 614 626 630 9 12 10 9 8 10 Bosnie-Herzegovine Czech Republic 332 320 323 392 391 383 120 120 122 180 191 182 République tchèque Estonia 893 840 840 875 800 800 42 65 65 25 25 25 Estonie Finland 988 1 306 1 167 886 1 167 1 167 103 139 1 0 0 0 Finlande France 3 384 3 499 3 830 4 296 4 400 4 700 110 119 130 1 022 1 020 1 000 France Germany 1 863 1 850 1 790 2 513 2 400 2 300 150 150 140 800 700 650 Allemagne Hungary 986 1 098 1 098 986 1 098 1 098 0 0 0 0 0 0 Hongrie Ireland 2 8 9 3 10 11 0 0 0 1 2 2 Irlande Italy 560 560 560 560 560 560 0 0 0 0 0 0 Italie Latvia 1 674 1 725 1 725 1 903 2 000 2 000 35 25 25 265 300 300 Lettonie Luxembourg 174 193 191 18 37 35 171 171 171 15 15 15 Luxembourg Montenegro 101 50 76 101 50 76 0 0 0 0 0 0 Monténégro Netherlands 87 115 115 60 80 80 82 90 90 55 55 55 Pays-Bas North Macedonia 73 73 73 73 73 73 0 0 0 0 0 0 Macédoine du Nord Poland 2 677 2 730 2 830 2 747 2 800 2 900 80 80 80 150 150 150 Pologne Portugal 885 320 290 220 200 180 696 150 140 30 30 30 Portugal Serbia 973 977 972 988 995 998 25 27 29 40 45 55 Serbie Slovakia 1 387 1 500 1 600 1 316 1 400 1 500 381 400 400 310 300 300 Slovaquie Slovenia 235 263 243 348 400 400 32 43 43 145 180 200 Slovénie Spain 1 001 1 023 1 303 964 965 965 96 102 382 59 44 44 Espagne Sweden 216 223 223 200 200 200 23 23 23 7 0 0 Suède Switzerland 114 125 135 229 240 250 50 45 40 165 160 155 Suisse Turkey 3 486 3 515 3 515 3 460 3 500 3 500 45 30 30 19 15 15 Turquie United Kingdom 120 120 120 63 63 63 66 66 66 9 9 9 Royaume-Un Total Europe 23 219 23 516 24 118 24 088 24 777 25 199 2 476 2 038 2 167 3 345 3 299 3 247 Total Europe Moldova 30 30 30 30 30 30 0 0 0 0 0 0 Moldova Russia 12 486 13 182 14 227 14 886 15 630 16 724 0 0 0 2 400 2 448 2 497 Russie Total EECCA 12 516 13 212 14 257 14 916 15 660 16 754 0 0 0 2 400 2 448 2 497 Total EOCAC Canada 13 545 12 981 12 948 12 581 11 867 11 867 1 018 1 190 1 154 54 76 73 Canada United States 30 257 37 792 38 330 32 250 39 903 40 567 154 159 165 2 147 2 271 2 402 Etats-Unis Total North America 43 802 50 773 51 278 44 831 51 771 52 435 1 172 1 349 1 318 2 201 2 347 2 475 Total Amérique du Nord

a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce

Exports - ExportationsCountry Production Imports - Importations

TABLE 11

Apparent Consumption a

Consommation Apparente a Pays

HARDWOOD SAWLOGS (total) Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

GRUMES DE SCIAGES DES NON-CONIFERES

1000 m3

UNECE COFFI and FAO EFC Foresta2021 page 22

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 395 452 460 275 322 330 160 180 180 40 50 50 Autriche Bosnia-Herzegovina 614 630 630 614 626 630 9 12 10 9 8 10 Bosnie-Herzegovine Czech Republic 332 320 323 392 391 383 120 120 122 180 191 182 République tchèque Estonia 893 840 840 875 800 800 42 65 65 25 25 25 Estonie Finland 988 1 306 1 167 886 1 167 1 167 103 139 1 0 0 0 Finlande France 3 351 3 461 3 793 4 296 4 400 4 700 74 78 90 1 019 1 017 997 France Germany 1 857 1 846 1 784 2 513 2 400 2 300 142 141 130 798 695 646 Allemagne Hungary 986 1 098 1 098 986 1 098 1 098 0 0 0 0 0 0 Hongrie Ireland 2 8 9 3 10 11 0 0 0 1 2 2 Irlande Italy 560 560 560 560 560 560 0 0 0 0 0 0 Italie Latvia 1 674 1 725 1 725 1 903 2 000 2 000 35 25 25 265 300 300 Lettonie Luxembourg 159 178 176 18 37 35 156 156 156 15 15 15 Luxembourg Montenegro 101 50 76 101 50 76 0 0 0 0 0 0 Monténégro Netherlands 83 102 102 60 80 80 68 70 70 45 48 48 Pays-Bas North Macedonia 73 73 73 73 73 73 0 0 0 0 0 0 Macédoine du Nord Poland 2 675 2 728 2 828 2 747 2 800 2 900 78 78 78 150 150 150 Pologne Portugal 698 246 221 220 200 180 504 70 65 25 24 24 Portugal Serbia 972 976 971 988 995 998 24 26 28 40 45 55 Serbie Slovakia 1 387 1 500 1 600 1 316 1 400 1 500 381 400 400 310 300 300 Slovaquie Slovenia 235 262 242 348 400 400 32 42 42 145 180 200 Slovénie Spain 994 1 017 1 296 964 965 965 89 95 374 59 43 43 Espagne Sweden 216 223 223 200 200 200 23 23 23 7 0 0 Suède Switzerland 114 125 135 229 240 250 50 45 40 165 160 155 Suisse Turkey 3 486 3 515 3 515 3 460 3 500 3 500 45 30 30 19 15 15 Turquie United Kingdom 96 96 96 63 63 63 42 42 42 9 9 9 Royaume-Un Total Europe 22 940 23 338 23 943 24 088 24 777 25 199 2 176 1 837 1 971 3 324 3 276 3 226 Total Europe Moldova 30 30 30 30 30 30 0 0 0 0 0 0 Moldova Russia 12 486 13 182 14 227 14 886 15 630 16 724 0 0 0 2 400 2 448 2 497 Russie Total EECCA 12 516 13 212 14 257 14 916 15 660 16 754 0 0 0 2 400 2 448 2 497 Total EOCAC Canada 13 546 12 984 12 948 12 581 11 867 11 867 1 018 1 190 1 154 53 73 73 Canada United States 30 256 37 791 38 329 32 250 39 903 40 567 152 158 163 2 146 2 270 2 401 Etats-Unis Total North America 43 802 50 775 51 277 44 831 51 771 52 435 1 170 1 347 1 317 2 199 2 343 2 474 Total Amérique du Nord

a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce

Exports - ExportationsCountry Production Imports - Importations

TABLE 11a

Apparent Consumption a

Consommation Apparente a Pays

HARDWOOD LOGS (temperate) Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

GRUMES DE NON-CONIFERES (zone tempérée)

1000 m3

UNECE COFFI and FAO EFC Foresta2021 page 23

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 France -33 -38 -37 36 42 40 3 3 3 France Germany -6 -4 -6 8 9 10 2 5 4 Allemagne Luxembourg -15 -15 -15 15 15 15 0 0 0 Luxembourg Netherlands -4 -13 -13 14 20 20 10 7 7 Pays-Bas Poland -1 -2 -2 2 2 2 0 0 0 Pologne Portugal -187 -74 -69 192 80 75 5 6 6 Portugal Serbia -1 -1 -1 1 1 1 0 0 0 Serbie Slovenia -1 -1 -1 1 1 1 0 0 0 Slovénie Spain -7 -6 -7 7 8 8 0 1 1 Espagne United Kingdom -24 -24 -24 24 24 24 0 0 0 Royaume-Un Total Europe -279 -178 -175 300 201 196 20 23 21 Total Europe Canada 1 3 0 0 0 0 1 3 0 Canada United States -1 -1 -1 2 2 2 1 1 1 Etats-Unis Total North America 0 2 -1 2 2 2 2 4 1 Total Amérique du Nord

TABLE 11b

Net Trade Commerce Net Pays

HARDWOOD LOGS (tropical) GRUMES DE NON-CONIFERES (tropicale)

1000 m3

Exports - ExportationsCountry

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

Production Imports - Importations

UNECE COFFI and FAO EFC Foresta2021 page 24

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 15 114 15 232 15 570 10 110 10 642 10 980 5 798 5 730 5 630 794 1 140 1 040 Autriche Bosnia-Herzegovina 928 911 927 881 874 891 99 87 87 51 50 51 Bosnie-Herzegovine Cyprus 8 9 9 8 8 8 1 1 1 0 0 0 Chypre Czech Republic 6 297 6 778 6 889 10 087 9 823 9 900 482 558 576 4 272 3 603 3 587 République tchèque Estonia 4 050 3 280 3 280 6 316 5 850 5 850 459 270 270 2 724 2 840 2 840 Estonie Finland 53 097 56 668 56 727 43 221 46 410 47 366 11 047 11 200 10 303 1 171 942 942 Finlande France 23 342 23 959 24 580 22 195 22 900 23 300 3 083 3 093 3 280 1 936 2 034 2 000 France Germany 27 601 26 250 27 690 29 618 30 900 31 300 3 352 2 650 3 140 5 368 7 300 6 750 Allemagne Hungary 1 766 1 936 1 936 1 707 1 843 1 843 134 223 223 75 130 130 Hongrie Ireland 1 961 1 869 1 974 2 082 2 044 2 177 129 200 203 249 375 406 Irlande Italy 5 567 5 567 5 567 4 518 4 518 4 518 1 154 1 154 1 154 105 105 105 Italie Latvia 4 140 3 650 3 650 6 387 6 050 6 050 2 019 1 800 1 800 4 266 4 200 4 200 Lettonie Luxembourg 695 757 751 625 687 681 189 189 189 119 119 119 Luxembourg Malta 2 2 2 0 0 0 2 2 2 0 0 0 Malte Montenegro 239 218 238 238 217 237 1 1 1 0 0 0 Monténégro Netherlands 1 145 1 120 1 120 1 355 1 380 1 390 734 730 730 944 990 1 000 Pays-Bas Poland 29 967 30 985 31 835 28 035 29 200 29 800 4 609 4 460 4 410 2 677 2 675 2 375 Pologne Portugal 13 533 13 750 13 782 11 462 11 900 11 870 2 363 2 280 2 382 292 430 470 Portugal Serbia 909 947 976 892 931 958 21 20 22 4 4 4 Serbie Slovakia 3 472 3 800 4 000 4 119 4 200 4 350 1 006 1 000 1 050 1 654 1 400 1 400 Slovaquie Slovenia 834 910 880 1 877 1 870 1 920 494 700 570 1 536 1 660 1 610 Slovénie Spain 11 099 11 684 12 052 12 663 13 217 13 651 557 582 603 2 121 2 116 2 202 Espagne Sweden 59 772 59 734 59 784 52 100 53 300 53 300 8 194 7 127 7 127 522 693 643 Suède Switzerland 1 692 1 713 1 738 1 254 1 280 1 310 631 623 613 193 190 185 Suisse Turkey 13 596 14 027 14 027 13 397 13 600 13 600 202 455 455 3 28 28 Turquie United Kingdom 5 136 5 482 5 482 4 670 4 974 4 974 578 578 578 112 71 71 Royaume-Un Total Europe 285 963 291 237 295 466 269 817 278 619 282 225 47 336 45 712 45 399 31 190 33 094 32 158 Total Europe Moldova 2 2 2 1 1 1 1 1 1 0 0 0 Moldova Russia 58 244 60 273 64 791 73 232 75 562 76 307 104 104 104 15 092 15 393 11 620 Russie Total EECCA 58 246 60 275 64 793 73 233 75 563 76 308 105 105 105 15 092 15 393 11 620 Total EOCAC Canada 34 428 30 819 31 865 31 073 27 434 27 434 4 000 3 969 4 975 645 584 545 Canada United States 228 406 228 659 234 933 233 223 234 181 234 974 190 206 201 5 007 5 728 243 Etats-Unis Total North America 262 835 259 479 266 798 264 296 261 615 262 408 4 191 4 175 5 177 5 652 6 312 788 Total Amérique du Nord

Includes wood residues, chips and particles for all purposes Comprend les dechets de bois, plaquettes et particules pour toute utilisation a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce

TABLE 12

Apparent Consumption a

Pays

1000 m3

Exports - Exportations

PULPWOOD (total) BOIS DE TRITURATION (total)

Country

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

Production Imports - ImportationsConsommation Apparente a

UNECE COFFI and FAO EFC Foresta2021 page 25

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 4 999 4 750 4 840 2 358 2 510 2 600 2 749 2 500 2 400 108 260 160 Autriche Bosnia-Herzegovina 622 625 623 559 567 570 77 68 65 14 10 12 Bosnie-Herzegovine Czech Republic 4 527 5 000 5 050 8 036 7 799 7 798 263 255 268 3 772 3 054 3 016 République tchèque Estonia 528 475 475 1 148 1 075 1 075 21 40 40 641 640 640 Estonie Finland 21 957 24 401 24 237 21 635 23 931 24 294 1 205 1 238 711 883 768 768 Finlande France 4 622 4 724 4 700 4 479 4 600 4 600 506 561 600 363 438 500 France Germany 10 290 7 600 9 000 10 590 10 600 11 000 2 200 1 500 2 000 2 500 4 500 4 000 Allemagne Hungary 596 542 542 596 542 542 0 0 0 0 0 0 Hongrie Ireland 1 117 752 801 1 197 877 934 30 50 53 110 175 186 Irlande Italy 853 853 853 853 853 853 0 0 0 0 0 0 Italie Latvia 1 814 1 750 1 750 2 241 2 100 2 100 306 350 350 733 700 700 Lettonie Luxembourg 40 32 32 40 32 32 0 0 0 0 0 0 Luxembourg Montenegro 17 9 23 17 9 23 0 0 0 0 0 0 Monténégro Netherlands 142 140 140 255 260 260 82 80 80 195 200 200 Pays-Bas Poland 13 036 13 600 13 950 13 886 14 500 14 600 1 185 1 200 1 250 2 035 2 100 1 900 Pologne Portugal 2 205 2 350 2 272 2 130 2 300 2 230 81 80 82 6 30 40 Portugal Serbia 94 96 98 94 96 98 0 0 0 0 0 0 Serbie Slovakia 702 900 950 1 157 1 200 1 250 575 500 500 1 030 800 800 Slovaquie Slovenia 278 310 330 346 230 280 230 310 280 298 230 230 Slovénie Spain 2 931 2 905 2 952 3 489 3 665 3 751 95 100 102 653 860 901 Espagne Sweden 29 055 29 293 29 393 25 400 26 100 26 200 3 931 3 469 3 469 276 276 276 Suède Switzerland 238 240 245 308 310 315 20 20 20 90 90 90 Suisse Turkey 7 224 7 352 7 352 7 222 7 350 7 350 3 3 3 1 1 1 Turquie United Kingdom 1 885 1 885 1 885 1 630 1 630 1 630 283 283 283 29 29 29 Royaume-Uni Total Europe 109 772 110 583 112 492 109 665 113 137 114 386 13 842 12 607 12 556 13 736 15 161 14 449 Total Europe Russia 29 389 29 682 32 041 33 289 33 622 31 941 100 100 100 4 000 4 040 0 Russie Total EECCA 29 389 29 682 32 041 33 289 33 622 31 941 100 100 100 4 000 4 040 0 Total EOCAC Canada 4 432 3 984 4 267 3 804 3 470 3 470 645 518 800 17 4 3 Canada United States 133 463 133 526 133 557 133 458 133 521 133 552 5 5 5 0 0 0 Etats-Unis Total North America 137 895 137 511 137 825 137 262 136 992 137 023 650 523 805 17 4 3 Total Amérique du Nord

a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce

TABLE 12a

Apparent Consumption a

Consommation Apparente a Pays

PULPWOOD LOGS (ROUND AND SPLIT) BOIS DE TRITURATION (RONDINS ET QUARTIERS)

1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

Exports - ExportationsCountry Production

Softwood Conifères

Imports - Importations

UNECE COFFI and FAO EFC Foresta2021 page 26

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 1 210 1 382 1 380 600 682 680 680 780 780 70 80 80 Autriche Bosnia-Herzegovina 61 62 64 55 57 56 13 10 12 7 5 4 Bosnie-Herzegovine Czech Republic 276 293 306 323 334 352 17 18 18 64 59 64 République tchèque Estonia 507 205 205 1 168 1 075 1 075 172 130 130 833 1 000 1 000 Estonie Finland 11 986 11 834 11 801 7 416 7 158 7 542 4 637 4 709 4 292 67 32 32 Finlande France 2 509 2 546 2 480 3 314 3 300 3 200 67 66 80 872 820 800 France Germany 2 663 2 650 2 690 2 913 2 800 2 800 150 150 140 400 300 250 Allemagne Hungary 306 377 377 306 377 377 0 0 0 0 0 0 Hongrie Italy 166 166 166 166 166 166 0 0 0 0 0 0 Italie Latvia 600 400 400 1 882 1 750 1 750 461 350 350 1 743 1 700 1 700 Lettonie Luxembourg 64 134 128 64 134 128 0 0 0 0 0 0 Luxembourg Montenegro 26 13 19 26 13 19 0 0 0 0 0 0 Monténégro Netherlands 65 50 50 147 160 160 21 20 20 103 130 130 Pays-Bas Poland 4 953 5 385 5 785 4 468 4 900 5 300 560 560 560 75 75 75 Pologne Portugal 8 585 8 300 8 350 7 410 7 600 7 620 1 353 1 000 1 050 178 300 320 Portugal Serbia 293 299 309 294 300 310 0 0 0 1 1 1 Serbie Slovakia 1 788 1 900 2 000 1 828 1 850 1 900 70 150 200 110 100 100 Slovaquie Slovenia 146 140 100 450 490 440 88 130 90 392 480 430 Slovénie Spain 5 267 5 658 5 658 5 942 6 074 6 150 285 291 295 960 707 787 Espagne Sweden 8 641 8 441 8 541 6 100 6 200 6 300 2 558 2 258 2 258 17 17 17 Suède Switzerland 137 143 148 174 180 185 3 3 3 40 40 40 Suisse Turkey 5 225 5 300 5 300 5 225 5 300 5 300 2 2 2 2 2 2 Turquie United Kingdom 17 17 17 2 2 2 16 16 16 0 0 0 Royaume-Un Total Europe 55 490 55 695 56 274 50 273 50 901 51 811 11 152 10 643 10 295 5 935 5 849 5 832 Total Europe Russia 8 465 9 105 10 109 15 665 16 449 17 600 0 0 0 7 200 7 344 7 491 Russie Total EECCA 8 465 9 105 10 109 15 665 16 449 17 600 0 0 0 7 200 7 344 7 491 Total EOCAC Canada 8 112 7 871 7 870 8 474 8 073 8 073 31 28 19 393 231 223 Canada United States 42 217 42 237 42 247 42 264 42 284 42 294 42 42 42 89 89 89 Etats-Unis Total North America 50 329 50 108 50 117 50 738 50 358 50 368 73 70 61 482 320 312 Total Amérique du Nord

a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce

Hardwood Non-conifères 1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

BOIS DE TRITURATION (RONDINS ET QUARTIERS)

Production Imports - Importations

TABLE 12b

Apparent Consumption a

Consommation Apparente a PaysExports - ExportationsCountry

PULPWOOD LOGS (ROUND AND SPLIT)

UNECE COFFI and FAO EFC Foresta2021 page 27

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 8 904 9 100 9 350 7 152 7 450 7 700 2 369 2 450 2 450 616 800 800 Autriche Bosnia-Herzegovina 245 224 240 267 250 265 9 9 10 30 35 35 Bosnie-Herzegovine Cyprus 8 9 9 8 8 8 1 1 1 0 0 0 Chypre Czech Republic 1 494 1 485 1 533 1 728 1 690 1 750 202 285 290 436 490 507 République tchèque Estonia 3 015 2 600 2 600 4 000 3 700 3 700 266 100 100 1 251 1 200 1 200 Estonie Finland 19 154 20 432 20 689 14 170 15 321 15 530 5 205 5 254 5 301 221 142 142 Finlande France 16 211 16 690 17 400 14 402 15 000 15 500 2 510 2 465 2 600 701 776 700 France Germany 14 649 16 000 16 000 16 115 17 500 17 500 1 002 1 000 1 000 2 468 2 500 2 500 Allemagne Hungary 864 1 017 1 017 805 924 924 134 223 223 75 130 130 Hongrie Ireland 844 1 117 1 173 885 1 167 1 243 99 150 150 139 200 220 Irlande Italy 4 549 4 549 4 549 3 500 3 500 3 500 1 154 1 154 1 154 105 105 105 Italie Latvia 1 726 1 500 1 500 2 264 2 200 2 200 1 252 1 100 1 100 1 790 1 800 1 800 Lettonie Luxembourg 591 591 591 521 521 521 189 189 189 119 119 119 Luxembourg Malta 2 2 2 0 0 0 2 2 2 0 0 0 Malte Montenegro 196 196 196 195 195 195 1 1 1 0 0 0 Monténégro Netherlands 938 930 930 953 960 970 631 630 630 646 660 670 Pays-Bas Poland 11 977 12 000 12 100 9 680 9 800 9 900 2 864 2 700 2 600 567 500 400 Pologne Portugal 2 742 3 100 3 160 1 921 2 000 2 020 929 1 200 1 250 108 100 110 Portugal Serbia 522 552 569 504 535 550 21 20 22 3 3 3 Serbie Slovakia 982 1 000 1 050 1 135 1 150 1 200 361 350 350 514 500 500 Slovaquie Slovenia 409 460 450 1 080 1 150 1 200 176 260 200 847 950 950 Slovénie Spain 2 902 3 120 3 442 3 233 3 478 3 750 178 191 206 508 548 514 Espagne Sweden 22 076 22 000 21 850 20 600 21 000 20 800 1 705 1 400 1 400 229 400 350 Suède Switzerland 1 317 1 330 1 345 772 790 810 608 600 590 63 60 55 Suisse Turkey 1 147 1 375 1 375 950 950 950 197 450 450 0 25 25 Turquie United Kingdom 3 234 3 580 3 580 3 038 3 342 3 342 279 279 279 83 41 41 Royaume-Uni Total Europe 120 700 124 959 126 700 109 879 114 581 116 029 22 341 22 462 22 548 11 520 12 084 11 876 Total Europe Moldova 2 2 2 1 1 1 1 1 1 0 0 0 Moldova Russia 20 390 21 487 22 641 24 278 25 492 26 766 4 4 4 3 892 4 009 4 129 Russie Total EECCA 20 392 21 489 22 643 24 279 25 493 26 767 5 5 5 3 892 4 009 4 129 Total EOCAC Canada 21 885 18 964 19 728 18 795 15 890 15 890 3 324 3 423 4 156 235 349 318 Canada United States 52 726 52 896 59 128 57 501 58 376 59 128 143 159 154 4 918 5 639 154 Etats-Unis Total North America 74 611 71 860 78 856 76 296 74 266 75 018 3 467 3 581 4 310 5 153 5 988 472 Total Amérique du Nord

TABLE 12c

Apparent Consumption Consommation Apparente Pays

WOOD RESIDUES, CHIPS AND PARTICLES DECHETS DE BOIS, PLAQUETTES ET PARTICULES

1000 m3

Exports - Exportations

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

Country Production Imports - Importations

UNECE COFFI and FAO EFC Foresta2021 page 28

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 1 074 1 135 1 250 1 540 1 650 1 800 384 425 390 849 940 940 Autriche Bosnia-Herzegovina 90 94 94 150 162 165 1 2 3 61 70 74 Bosnie-Herzegovine Cyprus 4 4 4 0 0 0 4 4 4 0 0 0 Chypre Czech Republic 180 182 198 477 490 502 32 34 35 329 342 339 République tchèque Estonia 572 115 115 1 630 1 400 1 400 12 15 15 1 070 1 300 1 300 Estonie Finland 427 395 420 322 345 365 112 90 90 7 40 35 Finlande France 2 075 2 101 2 200 1 760 1 800 1 850 412 410 450 97 109 100 France Germany 2 590 2 880 3 225 3 100 3 300 3 600 291 325 350 801 745 725 Allemagne Hungary 77 79 79 16 19 19 84 82 82 23 22 22 Hongrie Ireland 45 65 65 38 55 55 38 45 45 30 35 35 Irlande Italy 2 194 2 194 2 194 400 400 400 1 802 1 802 1 802 7 7 7 Italie Latvia 325 300 300 2 264 2 200 2 200 425 400 400 2 364 2 300 2 300 Lettonie Luxembourg 47 47 47 63 63 63 11 11 11 27 27 27 Luxembourg Malta 1 0 0 0 0 0 1 0 0 0 0 0 Malte Montenegro 53 47 47 89 82 82 1 1 1 37 37 37 Monténégro Netherlands 2 442 2 609 3 180 300 300 300 2 297 2 429 3 000 155 120 120 Pays-Bas North Macedonia 91 91 91 0 0 0 91 91 91 0 0 0 Macédoine du Nord Poland 818 880 900 1 353 1 450 1 500 176 180 200 711 750 800 Pologne Portugal 255 204 245 859 900 950 2 4 5 606 700 710 Portugal Serbia 406 445 450 445 455 460 40 45 50 79 55 60 Serbie Slovakia 20 20 20 206 200 200 43 45 45 229 225 225 Slovaquie Slovenia 206 165 175 148 160 165 257 215 230 198 210 220 Slovénie Spain 507 696 798 531 745 863 65 76 80 89 125 145 Espagne Sweden 1 642 1 940 1 940 1 660 2 000 2 000 119 140 140 138 200 200 Suède Switzerland 347 350 355 270 275 285 78 75 70 0 0 0 Suisse Turkey 6 6 6 20 20 20 0 0 0 14 14 14 Turquie United Kingdom 9 345 9 345 9 345 271 271 271 9 078 9 078 9 078 4 4 4 Royaume-Un Total Europe 25 840 26 388 27 743 17 912 18 743 19 516 15 854 16 023 16 666 7 925 8 378 8 439 Total Europe Moldova 32 32 32 31 31 31 2 2 2 0 0 0 Moldova Russia 509 470 540 2 800 3 220 3 703 2 2 2 2 294 2 752 3 165 Russie Total EECCA 541 502 573 2 831 3 251 3 734 4 4 4 2 294 2 752 3 165 Total EOCAC Canada 960 795 536 3 830 4 131 4 131 31 46 54 2 901 3 381 3 649 Canada United States 1 360 1 503 1 572 8 412 8 855 9 210 205 227 236 7 257 7 578 7 874 Etats-Unis Total North America 2 321 2 299 2 108 12 242 12 985 13 341 236 272 290 10 158 10 958 11 523 Total Amérique du Nord

Exports - Exportations Pays

TABLE 13 WOOD PELLETS GRANULES DE BOIS

1000 mt Apparent Consumption

Country Consommation Apparente

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

Production Imports - Importations

UNECE COFFI and FAO EFC Foresta2021 page 29

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 actual actual actual actual réels réels réels réels

Sawn softwood 82.76 89.42 90.28 102.87 107.84 109.03 32.51 35.40 34.94 52.63 53.82 53.68 Sciages conifères

Softwood logs a 194.72 200.32 200.51 199.16 199.97 194.47 20.04 19.12 19.97 24.48 18.77 13.94 Grumes de conifères a

Sawn hardwood 10.78 11.34 11.61 10.72 11.25 11.40 4.01 4.25 4.34 3.95 4.17 4.12 Sciages non-conifères

– temperate zone b 10.05 10.62 10.88 10.65 11.19 11.34 3.24 3.49 3.56 3.84 4.06 4.01 – zone tempérée b

– tropical zone b 0.72 0.72 0.73 0.07 0.06 0.06 0.77 0.77 0.78 0.11 0.11 0.11 – zone tropicale b

Hardwood logs a 23.22 23.52 24.12 24.09 24.78 25.20 2.48 2.04 2.17 3.34 3.30 3.25 Grumes de non-conifères a

– temperate zone b 22.94 23.34 23.94 24.09 24.78 25.20 2.18 1.84 1.97 3.32 3.28 3.23 – zone tempérée b

– tropical zone b 0.28 0.18 0.17 0.30 0.20 0.20 0.02 0.02 0.02 – zone tropicale b

Veneer sheets 1.44 1.51 1.53 1.03 1.13 1.13 1.18 1.23 1.26 0.77 0.85 0.86 Feuilles de placage

Plywood 7.44 7.27 7.51 4.39 4.61 4.63 6.77 6.68 6.90 3.72 4.02 4.03 Contreplaqués

Particle board (excluding OSB) 28.83 29.99 30.57 30.22 31.31 31.80 9.16 9.50 9.84 10.55 10.83 11.07 Pann. de particules (sauf OSB)

OSB 5.66 5.74 5.81 5.85 5.69 5.80 3.26 3.29 3.34 3.45 3.24 3.33 OSB

Fibreboard 20.47 20.83 21.46 22.07 22.67 23.15 9.24 9.65 9.86 10.84 11.49 11.55 Panneaux de fibres

– Hardboard 0.52 0.66 0.74 0.38 0.42 0.43 1.38 1.42 1.45 1.25 1.19 1.14 – Durs

– MDF 16.80 17.00 17.48 18.52 19.04 19.43 5.86 6.14 6.25 7.58 8.18 8.20 – MDF

– Other board 3.15 3.17 3.24 3.16 3.22 3.29 2.00 2.08 2.15 2.01 2.13 2.21 – Autres panneaux Pulpwood a 285.96 291.24 295.47 269.82 278.62 282.23 47.34 45.71 45.40 31.19 33.09 32.16 Bois de trituration a

– Pulp logs 165.26 166.28 168.77 159.94 164.04 166.20 24.99 23.25 22.85 19.67 21.01 20.28 – Bois ronds de trituration

– softwood 109.77 110.58 112.49 109.67 113.14 114.39 13.84 12.61 12.56 13.74 15.16 14.45 – conifères

– hardwood 55.49 55.69 56.27 50.27 50.90 51.81 11.15 10.64 10.30 5.93 5.85 5.83 – non-conifères

– Residues, chips and particles 120.70 124.96 126.70 109.88 114.58 116.03 22.34 22.46 22.55 11.52 12.08 11.88 – Déchets, plaquettes et part. Wood pulp 40.30 40.64 40.12 36.93 37.91 37.93 17.92 17.74 17.65 14.55 15.02 15.46 Pâte de bois

Paper and paperboard 76.36 76.97 77.32 86.91 89.94 90.19 44.50 44.66 44.77 55.05 57.63 57.65 Papiers et cartons

Wood Pellets 25.84 26.39 27.74 17.91 18.74 19.52 15.85 16.02 16.67 7.93 8.38 8.44 Granulés de bois a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fourni des données sur le commerce b Trade figures by zone do not equal the total as some countries cannot provide data for both zones b Les chiffres du commerce par zone ne correspondent pas aux totaux

en raison du fait que certains pays ne peuvent les différencier.

TABLE 14

Apparent Consumption Consommation Apparente Exports - ExportationsProduction

Europe: Summary table of market forecasts for 2021 and 2022

Europe: Tableau récapitulatif des prévisions du marché pour 2021 et 2022

million m 3 (pulp, paper and pellets million m.t. - pâte de bois, papiers et cartons, et granulés en millions de tonnes métriques)

Imports - Importations

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

prévisions forecasts prévisions

forecasts prévisions

forecasts prévisions

forecasts

UNECE COFFI and FAO EFC Foresta2021 page 30

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 actual actual actual actual réels réels réels réels

Sawn softwood 99.90 108.23 111.04 101.84 106.68 109.76 26.26 26.68 26.58 28.20 25.13 25.30 Sciages conifères

Softwood logs 239.31 239.09 237.48 251.70 251.56 254.08 2.97 2.83 2.93 15.36 15.29 19.53 Grumes de conifères

Sawn hardwood 15.07 15.55 15.76 17.68 17.82 17.86 1.38 1.55 1.65 4.00 3.81 3.76 Sciages non-conifères

– temperate zone 14.93 15.43 15.63 17.68 17.82 17.86 1.20 1.37 1.47 3.95 3.76 3.70 – zone tempérée

– tropical zone 0.13 0.13 0.13 0.00 0.00 0.00 0.19 0.18 0.19 0.05 0.05 0.06 – zone tropicale

Hardwood logs 43.80 50.77 51.28 44.83 51.77 52.43 1.17 1.35 1.32 2.20 2.35 2.47 Grumes de non-conifères

– temperate zone 43.80 50.78 51.28 44.83 51.77 52.43 1.17 1.35 1.32 2.20 2.34 2.47 – zone tempérée

– tropical zone 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 – zone tropicale Veneer sheets 2.85 2.90 2.96 2.87 2.93 3.01 0.74 0.82 0.84 0.76 0.86 0.88 Feuilles de placage

Plywood 16.41 17.41 17.77 11.17 11.75 12.00 6.31 6.80 6.92 1.07 1.13 1.14 Contreplaqués

Particle board (excluding OSB) 7.25 6.77 6.74 6.41 6.26 6.30 1.95 1.94 1.98 1.12 1.43 1.54 Pann. de particules (sauf OSB)

OSB 20.08 20.76 21.06 20.34 21.24 21.57 5.19 5.58 5.68 5.45 6.07 6.18 OSB

Fibreboard 9.46 9.82 9.83 7.35 7.40 7.40 3.64 3.94 3.95 1.52 1.52 1.52 Panneaux de fibres

– Hardboard 0.27 0.29 0.29 0.30 0.30 0.30 0.30 0.33 0.33 0.33 0.34 0.35 – Durs

– MDF 5.88 6.16 6.18 3.77 3.82 3.82 3.02 3.25 3.25 0.91 0.90 0.89 – MDF

– Other board 3.31 3.36 3.36 3.28 3.28 3.28 0.31 0.36 0.37 0.28 0.28 0.29 – Autres panneaux Pulpwood 262.83 259.48 266.80 264.30 261.62 262.41 4.19 4.17 5.18 5.65 6.31 0.79 Bois de trituration

– Pulp logs 188.22 187.62 187.94 188.00 187.35 187.39 0.72 0.59 0.87 0.50 0.32 0.32 – Bois ronds de trituration

– softwood 137.89 137.51 137.82 137.26 136.99 137.02 0.65 0.52 0.81 0.02 0.00 0.00 – conifères

– hardwood 50.33 50.11 50.12 50.74 50.36 50.37 0.07 0.07 0.06 0.48 0.32 0.31 – non-conifères

– Residues, chips and particles 74.61 71.86 78.86 76.30 74.27 75.02 3.47 3.58 4.31 5.15 5.99 0.47 – Déchets, plaquettes et part. Wood pulp 54.46 55.16 55.31 64.98 65.09 64.61 6.30 6.77 7.22 16.82 16.71 16.52 Pâte de bois

Paper and paperboard 68.29 70.84 71.97 74.59 77.14 78.53 10.00 10.31 10.28 16.31 16.60 16.84 Papiers et cartons

Wood pellets 2.32 2.30 2.11 12.24 12.99 13.34 0.24 0.27 0.29 10.16 10.96 11.52 Granulés de bois

TABLE 15

Apparent Consumption Consommation Apparente Exports - ExportationsProduction

North America: Summary table of market forecasts for 2021 and 2022

Amérique du Nord: Tableau récapitulatif des prévisions du marché pour 2021 et 2022

million m3 (pulp, paper and pellets million m.t. - pâte de bois, papiers et cartons, et granulés en millions de tonnes métriques)

Imports - Importations

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

forecasts prévisions

forecasts prévisions

forecasts prévisions

forecasts prévisions

UNECE COFFI and FAO EFC Foresta2021 page 31

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 actual actual actual actual réels réels réels réels

Sawn softwood 9.13 10.15 11.25 38.92 40.09 42.09 0.04 0.04 0.04 29.83 29.98 30.88 Sciages conifères

Softwood logs 108.14 109.22 108.11 120.44 121.64 115.56 0.00 0.00 0.00 12.30 12.42 7.45 Grumes de conifères

Sawn hardwood 1.34 1.38 1.48 2.88 2.97 3.14 0.01 0.01 0.01 1.54 1.59 1.67 Sciages non-conifères

– temperate zone 1.34 1.38 1.47 2.88 2.97 3.14 0.00 0.00 0.00 1.54 1.59 1.67 – zone tempérée

– tropical zone 0.01 0.01 0.01 0.00 0.00 0.00 0.01 0.01 0.01 0.00 0.00 0.00 – zone tropicale

Hardwood logs 12.49 13.18 14.23 14.89 15.63 16.72 0.00 0.00 0.00 2.40 2.45 2.50 Grumes de non-conifères

– temperate zone 12.49 13.18 14.23 14.89 15.63 16.72 0.00 0.00 0.00 2.40 2.45 2.50 – zone tempérée

– tropical zone 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 – zone tropicale Veneer sheets 1.10 1.44 1.69 1.57 1.96 2.26 0.01 0.01 0.01 0.49 0.54 0.58 Feuilles de placage

Plywood 1.22 1.44 1.51 4.00 4.60 4.83 0.12 0.13 0.13 2.90 3.28 3.45 Contreplaqués

Particle board (excluding OSB) 5.29 6.12 6.50 6.73 7.15 7.53 0.30 0.67 0.79 1.74 1.69 1.83 Pann. de particules (sauf OSB)

OSB 1.61 1.08 1.26 1.63 1.63 1.95 0.35 0.18 0.14 0.36 0.72 0.83 OSB

Fibreboard 2.80 3.42 3.67 3.58 4.30 4.63 0.46 0.59 0.64 1.24 1.48 1.60 Panneaux de fibres

– Hardboard 0.32 0.39 0.35 0.37 0.45 0.40 0.10 0.10 0.10 0.15 0.16 0.15 – Durs

– MDF 2.45 2.99 3.29 3.20 3.84 4.22 0.33 0.46 0.51 1.08 1.31 1.44 – MDF

– Other board 0.03 0.03 0.03 0.01 0.01 0.01 0.03 0.03 0.03 0.01 0.01 0.01 – Autres panneaux Pulpwood 58.24 60.27 64.79 73.23 75.56 76.31 0.10 0.10 0.10 15.09 15.39 11.62 Bois de trituration

– Pulp logs 37.85 38.79 42.15 48.95 50.07 49.54 0.10 0.10 0.10 11.20 11.38 7.49 – Bois ronds de trituration

– softwood 29.39 29.68 32.04 33.29 33.62 31.94 0.10 0.10 0.10 4.00 4.04 0.00 – conifères

– hardwood 8.47 9.10 10.11 15.67 16.45 17.60 0.00 0.00 0.00 7.20 7.34 7.49 – non-conifères

– Residues, chips and particles 20.39 21.49 22.64 24.28 25.49 26.77 0.00 0.00 0.00 3.89 4.01 4.13 – Déchets, plaquettes et part. Wood pulp 6.53 6.55 6.68 8.77 8.85 9.03 0.21 0.21 0.22 2.44 2.52 2.57 Pâte de bois

Paper and paperboard 7.12 7.62 7.95 9.53 10.19 10.70 1.19 1.17 1.14 3.60 3.75 3.90 Papiers et cartons

Wood pellets 0.51 0.47 0.54 2.80 3.22 3.70 0.00 0.00 0.00 2.29 2.75 3.17 Granulés de bois

TABLE 16

Apparent Consumption Consommation Apparente Exports - ExportationsProduction

Russian Federation: Summary table of market forecasts for 2021 and 2022

Fédération de Russie: Tableau récapitulatif des prévisions du marché pour 2021 et 2022

million m3 (pulp, paper and pellets million m.t. - pâte de bois, papiers et cartons, et granulés en millions de tonnes métriques)

Imports - Importations

prévisions forecasts prévisions

forecasts prévisions

forecasts prévisions

forecasts

UNECE COFFI and FAO EFC Foresta2021 page 32

Unit Unité 2016 2017 2018 2019 2020

1979-81 1999-2001 Volume Percent

EXPORTS EXPORTATIONS

Roundwood a million m3 22.22 48.68 61.29 63.02 70.01 78.70 82.01 3.31 4.2% Bois ronds a

Sawnwood " 24.77 45.99 55.71 58.51 59.86 62.83 56.58 -6.25 -9.9% Sciages Wood-based panels b " 8.07 21.42 33.67 35.66 35.43 35.67 28.55 -7.12 -20.0% Panneaux à base de bois b

Wood pulp million m.t. 7.31 10.08 14.31 14.81 15.19 16.26 14.55 -1.71 -10.5% Pâte de bois Paper and paperboard " 18.39 54.06 65.56 66.20 66.45 65.12 55.05 -10.07 -15.5% Papiers et cartons

IMPORTS IMPORTATIONS

Roundwood a million m3 38.83 74.99 85.69 79.61 90.25 89.33 86.83 -2.50 -2.8% Bois ronds a

Sawnwood " 34.26 46.39 40.93 43.88 46.19 47.38 36.52 -10.86 -22.9% Sciages Wood-based panels b " 10.30 21.38 33.04 35.75 37.21 36.72 28.43 -8.29 -22.6% Panneaux à base de bois b

Wood pulp million m.t. 11.36 17.26 20.73 20.86 21.51 20.02 17.92 -2.10 -10.5% Pâte de bois Paper and paperboard " 16.78 48.69 56.27 57.08 57.24 55.14 44.50 -10.64 -19.3% Papiers et cartons

NET TRADE c COMMERCE NET c

Roundwood a million m3 -16.61 -26.31 -24.40 -16.59 -20.24 -10.63 -4.82 5.81 54.6% Bois ronds a

Sawnwood " -9.49 -0.40 14.78 14.62 13.68 15.45 20.06 4.61 29.8% Sciages Wood-based panels b " -2.23 0.04 0.63 -0.10 -1.79 -1.05 0.12 1.17 NA Panneaux à base de bois b

Wood pulp million m.t. -4.05 -7.18 -6.42 -6.05 -6.31 -3.76 -3.37 0.39 10.3% Pâte de bois Paper and paperboard " 1.61 5.37 9.29 9.12 9.21 9.98 10.55 0.57 5.7% Papiers et cartons

a Including available data on wood residues, chips and particles a Y compris les données disponibles pour les déchets, les plaquettes et les particules b Not including veneer sheets b Ne sot pas compris les feuilles de placage c Exports minus imports c Exportations moins importations

2019/2020

Quantity - Volume

TABLE 17 Europe: Trade in forest products by main product groups, 1979-81 and 1999-2001 (averages) and 2016 to 2020

Europe: Commerce des produits forestiers, par principaux groupes d'assortiments, en 1979-81 et 1999-2001 (moyennes) et de 2016 à 2020

Change - Changementaverage moyenne

UNECE COFFI and FAO EFC Foresta2021 page 33

2016 2017 2018 2019 2020 2021 2022 1979-81 1999-2001

Sawnwood b million m3 100.66 108.12 107.55 110.81 113.12 110.61 93.53 100.75 101.89 Sciages b

– Softwood " 78.36 89.22 94.52 97.49 99.05 96.33 82.76 89.42 90.28 – Conifères – Hardwood " 22.30 18.90 13.03 13.32 14.07 14.27 10.78 11.34 11.61 – Non-conifères

Wood-based panels c " 33.70 54.21 71.70 74.21 75.86 74.96 62.39 63.82 65.34 Panneaux à base de bois c

– Plywood " 5.44 6.66 8.43 8.89 9.48 8.91 7.44 7.27 7.51 – Contreplaqués – Particle board d " 23.82 34.50 36.11 36.97 36.61 36.39 28.83 29.99 30.57 – Panneaux de particules d

– OSB 1.72 6.18 6.63 6.89 6.74 5.66 5.74 5.81 – OSB – Fibreboard " 4.44 11.00 20.99 21.72 22.88 22.92 20.47 20.83 21.46 – Panneaux de fibres

Paper and paperboard million m.t. 49.17 88.67 88.40 89.94 89.53 86.18 76.36 76.97 77.32 Papiers et cartons – Newsprint " 6.45 12.04 6.61 6.03 5.76 5.26 4.10 – Papiers journal – Other paper & paperbrd. " 42.71 76.63 81.79 83.91 83.77 80.92 72.26 – Autres papiers/cartons

Sawnwood b 100.0 107.4 106.8 110.1 112.4 109.9 92.9 100.1 101.2 Sciages b

– Softwood 100.0 113.9 120.6 124.4 126.4 122.9 105.6 114.1 115.2 – Conifères – Hardwood 100.0 84.7 58.4 59.7 63.1 64.0 48.3 50.8 52.1 – Non-conifères

Wood-based panels c 100.0 160.9 212.8 220.2 225.1 222.4 185.1 189.4 193.9 Panneaux à base de bois c

– Plywood 100.0 122.5 154.9 163.4 174.2 163.8 136.7 133.6 138.0 – Contreplaqués – Particle board 100.0 144.8 151.6 155.2 153.7 152.8 121.0 125.9 128.3 – Panneaux de particules – OSB 100.0 359.2 385.7 400.4 391.9 329.0 333.6 337.7 – OSB – Fibreboard 100.0 247.9 472.8 489.2 515.3 516.1 461.0 469.1 483.3 – Panneaux de fibres

Paper and paperboard 100.0 180.3 179.8 182.9 182.1 175.3 155.3 156.5 157.2 Papiers et cartons – Newsprint 100.0 186.6 102.5 93.4 89.2 81.6 63.5 – Papiers journal – Other paper & paperbrd. 100.0 179.4 191.5 196.5 196.1 189.5 169.2 – Autres papiers/cartons

a The forecasts and 2020 are not a Une comparison entre prévisions (et 2020) comparable with earlier data as the methodology is different. et les donnes anterieures n'est pas possible à cause de différences des méthodes de calcul. b Excluding sleepers through 2016 b Non compris les traverses jusqu'à 2016 c Not including veneer sheets c Ne sont pas compris les feuilles de placage d Average figure for 1979-81 includes OSB d Les chiffres moyennes 1979-81 comprennent le OSB

TABLE 18 Europe: Apparent consumption of selected forest products, 1979-81 and 1999-2001 (averages), 2016 to 2020, and forecasts for 2021 and 2022

Europe: Consommation apparente de certains produits forestiers, en 1979-81 et 1999-2001 (moyennes), de 2016 à 2020 et prévisions pour 2021 et 2022

Forecasts a

Index - Indice 1979-81 = 100

Prévisions aActual - RéelleUnit Unité average

moyenne

UNECE COFFI and FAO EFC Foresta2021 page 34

2016 2017 2018 2019 2020 2021 2022 1979-81 1999-2001

Sawnwood b million m3 95.82 119.44 99.75 100.40 101.08 101.75 99.92 102.05 103.10 Sciages b

– Softwood " 79.14 91.63 80.22 81.41 81.94 82.26 86.12 87.85 88.69 – Conifères – Hardwood " 16.67 27.81 19.53 18.99 19.14 19.49 13.81 14.20 14.41 – Non-conifères

Wood-based panels c " 29.25 54.68 47.17 48.78 47.93 46.78 46.09 47.63 48.43 Panneaux à base de boisc

– Plywood " 6.09 18.74 15.42 15.60 14.87 14.03 14.03 14.64 14.94 – Contreplaqués – Particle board d " 17.11 10.15 5.04 5.09 5.18 5.40 5.24 5.41 5.52 – Panneaux de particulesd

– OSB 17.75 17.08 18.33 18.86 18.67 18.58 19.35 19.72 – OSB – Fibreboard " 6.05 8.05 9.63 9.75 9.01 8.69 8.24 8.24 8.24 – Panneaux de fibres

Paper and paperboard million m.t. 61.86 92.52 70.10 69.61 68.82 66.31 63.57 66.13 67.40 Papiers et cartons – Newsprint " 10.56 12.20 3.03 2.62 2.29 1.91 1.42 – Papiers journal – Other paper & paperbrd. " 51.30 80.33 67.07 66.99 66.53 64.41 62.15 – Autres papiers/cartons

Sawnwood b million m3 23.87 34.46 28.33 27.42 26.44 25.30 26.26 26.70 26.57 Sciages b

– Softwood " 23.10 32.93 27.37 26.70 25.49 24.53 25.63 26.03 25.88 – Conifères – Hardwood " 0.77 1.53 0.96 0.72 0.95 0.77 0.63 0.67 0.69 – Non-conifères

Wood-based panels c " 2.11 12.82 13.23 14.50 15.67 14.34 14.46 14.97 15.13 Panneaux à base de boisc

– Plywood " 0.50 2.63 4.88 4.93 5.47 4.66 5.06 5.30 5.33 – Contreplaqués – Particle board " 1.33 1.44 1.25 1.24 1.33 1.43 1.46 1.33 1.36 – Panneaux de particules – OSB 6.81 5.07 5.57 5.67 5.42 5.07 5.46 5.56 – OSB – Fibreboard " 0.28 1.94 2.03 2.76 3.21 2.83 2.88 2.88 2.88 – Panneaux de fibres

Paper and paperboard million m.t. 7.78 15.84 9.26 9.17 9.46 8.72 7.64 7.83 7.87 Papiers et cartons – Newsprint " 6.49 6.61 1.84 1.72 1.53 1.28 1.05 – Papiers journal – Other paper & paperbrd. " 1.29 9.24 7.42 7.45 7.94 7.45 6.60 – Autres papiers/cartons

a The forecasts and 2020 are not a Une comparison entre prévisions (et 2020) comparable with earlier data as the methodology is different. et les donnes anterieures s n'est pas possible à cause de différences des méthodes de calcul. b Excluding sleepers through 2016 b Non compris les traverses jusqu'à 2016 c Not including veneer sheets c Ne sont pas compris les feuilles de placage d Average figure for 1979-81 includes OSB d Les chiffres moyennes 1979-81 comprennent le OSB

Actual - Réelle Unit Unité

Imports – Importations

Apparent Consumption – Consommation apparente

average moyenne

TABLE 19 United States: Apparent consumption and imports of selected forest products, 1979-81 and 1999-2001 (averages), 2016 to 2020, and forecasts for 2021 and 2022

Etats-Unis: Consommation apparente et importations de certains produits forestiers, en 1979-81 et 1999-2001 (moyennes), de 2016 à 2020 et prévisions pour 2021 et 2022

Forecasts a Prévisions a

UNECE COFFI and FAO EFC Foresta2021 page 35

List of tables

List of Tables and Notes
Table 1 - Sawn Softwood
Table 2 - Sawn Hardwood (total)
Table 2a - Sawn Hardwood (temperate)
Table 2b - Sawn Hardwood (tropical)
Table 3 - Veneer Sheets
Table 4 - Plywood
Table 5 - Particle Board (excluding OSB)
Table 5a - Oriented Strand Board
Table 6 - Fibreboard
Table 6a - Hardboard
Table 6b - MDF/HDF
Table 6c - Other Fibreboard
Table 7 - Wood Pulp
Table 8 - Paper and Paperboard
Table 9 - Removals of wood in the rough
Table 9a - Removals of wood in the rough (softwood)
Table 9b - Removals of wood in the rough (hardwood)
Table 10 - Softwood sawlogs
Table 11 - Hardwood sawlogs
Table 11a - Hardwood logs (temperate)
Table 11b - Hardwood logs (tropical)
Table 12 - Pulpwood
Table 12a - Pulpwood (softwood)
Table 12b - Pulpwood (hardwood)
Table 12c - Wood Residues, Chips and Particles
Table 13 - Wood Pellets
Table 14 - Europe: Summary table of market forecasts for 2021 and 2022
Table 15 - North America: Summary table of market forecasts for 2021 and 2022
Table 16 - Russian Federation: Summary table of market forecasts for 2021 and 2022
Table 17 - Europe: Trade in forest products by main product groups, 1979-81 and 1999-2001 (average) and 2016 to 2020
Table 18 - Europe: Apparent consumption of selected forest products, 1979-81 and 1999-2001 (average), 2016 to 2020, and forecasts for 2021 and 2022
Table 19 - United States: Apparent consumption and imports of selected forest products 1979-81 and 1999-2001 (average), 2016 to 2020, and forecasts for 2021 and 2022
Source: UNECE Committee on Forests and the Forest Industry , November 2021, http://www.unece.org/forests/fpm/timbercommittee.html
Notes: Data in italics are estimated by the secretariat. EECCA is Eastern Europe, Caucasus and Central Asia.
Data for the two latest years are forecasts.
In contrast to previous years, data are shown only for countries providing forecasts. Sub-regional totals are only for reporting countries.
Austrian removals data do not include trees outside the forest. Wood chip trade includes recovered post-consumer wood.
German estimates for removals for 2021 and 2022 are highly sensitive to assumptions of beetle and storm damage
Italy MDF/HDF production data include only MDF
Montenegro removal figures are from Directorate of Forests, other figures are based on Statistical Office information.
Polish trade data exclude non-reporters (estimated at 1-3% of total). Polish sawnwood data include shop lumber. Wood pulp production is in metric tonnes not air-dried and excludes recovered fibre pulp.
Polish wood pellets production data includes briquettes and non-wood based material.
Slovenian trade figures are lower than actual as they do not include estimates for non-recorded trade with other EU countries.
United Kingdom production figures for OSB and wood pulp are secretariat estimates.
Data on wood chips and residues for Turkey include those from secondary processing.
Softwood = coniferous, hardwood = non-coniferous
For tables 1-13, data in italics are secretariat estimates or repeated data. All other data are from national sources and are of course estimates for the current and future year.
Countries with nil, missing or confidential data for all years on a table are not shown.

Table 1

TABLE 1
SAWN SOFTWOOD SCIAGES CONIFERES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 6,165 6,650 6,700 10,339 10,800 11,300 1,777 1,950 1,600 5,951 6,100 6,200 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 226 189 204 810 779 812 7 10 12 590 600 620 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Cyprus 29 31 31 1 1 1 28 30 30 0 0 0 Chypre 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 2,343 1,875 1,924 5,213 5,015 5,144 483 460 480 3,352 3,600 3,700 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 2,073 2,420 2,420 1,700 1,700 1,700 1,364 1,720 1,720 991 1,000 1,000 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 3,252 3,280 3,280 10,880 12,000 12,200 569 480 480 8,198 9,200 9,400 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 8,187 8,492 8,400 6,798 7,000 7,000 2,437 2,484 2,400 1,048 992 1,000 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 20,630 22,300 22,500 25,216 27,000 27,000 5,519 6,300 6,000 10,105 11,000 10,500 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 910 858 858 120 134 134 796 768 768 7 44 44 Hongrie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Ireland 492 937 997 1,012 1,312 1,397 310 375 400 830 750 800 Irlande 3 3 2 2 5 2 2 5 2 2 5 2 2 3
Italy 3,714 4,412 4,412 274 342 342 3,740 4,282 4,282 300 213 213 Italie 3 2 2 3 2 2 5 2 2 5 2 2 5 3
Latvia 1,383 1,600 1,300 3,311 3,000 3,000 1,106 1,600 1,300 3,034 3,000 3,000 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 54 54 54 39 39 39 27 27 27 12 12 12 Luxembourg 3 3 3 3 5 5 5 2 5 5 2 5 5 3
Malta 7 6 7 0 0 0 7 6 7 0 0 0 Malte 3 3 2 2 5 2 2 5 2 2 5 2 2 3
Montenegro 32 32 32 129 129 129 9 9 9 106 106 106 Monténégro 3 3 3 3 5 5 5 5 5 5 5 5 5 3
Netherlands 2,631 2,520 2,600 95 100 100 3,132 2,900 3,000 596 480 500 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
North Macedonia 24 24 24 2 2 2 23 23 23 0 0 0 Macédoine du Nord 3 3 3 3 5 5 5 3 5 5 3 5 5 3
Poland 4,460 4,550 4,600 4,181 4,300 4,400 1,237 1,250 1,300 958 1,000 1,100 Pologne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Portugal 770 770 780 874 880 890 133 120 130 237 230 240 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 401 438 453 112 130 135 291 310 320 2 2 2 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 576 650 700 1,182 1,000 1,050 352 400 400 959 750 750 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 704 392 439 877 717 729 657 670 690 830 995 980 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 2,436 3,446 3,712 1,813 2,773 2,940 829 977 1,044 206 304 272 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 5,123 6,300 6,300 18,500 18,900 18,800 599 500 400 13,976 13,100 12,900 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 1,216 1,245 1,275 1,120 1,150 1,180 293 280 275 197 185 180 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 6,337 6,396 6,396 6,091 6,150 6,150 380 380 380 134 134 134 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 9,772 10,769 11,137 3,302 3,633 3,633 6,677 7,345 7,712 208 208 208 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 83,947 90,637 91,535 103,993 108,986 110,207 32,780 35,655 35,188 52,826 54,004 53,861 Total Europe
Armenia 182 182 182 0 0 0 182 182 182 0 0 0 Arménie 3 3 3 3 5 5 5 2 5 5 5 5 5 3
Moldova 221 221 221 2 2 2 219 219 219 0 0 0 Moldova 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Russia 9,127 10,145 11,250 38,918 40,086 42,090 42 42 42 29,833 29,982 30,882 Russie 3 3 2 2 3 2 2 5 2 2 2 2 2 3
Total EECCA 9,530 10,549 11,653 38,920 40,088 42,092 444 444 444 29,833 29,983 30,882 Total EOCAC
Canada a 13,784 20,386 22,353 39,397 42,849 44,890 631 645 704 26,243 23,108 23,241 Canada a 3 3 2 2 3 2 2 3 2 2 3 2 2 3
United States a 86,118 87,846 88,690 62,446 63,831 64,874 25,631 26,033 25,875 1,959 2,019 2,059 Etats-Unis a 3 3 2 2 2 2 2 3 2 2 3 2 2 3
Total North America 99,902 108,231 111,043 101,843 106,680 109,764 26,261 26,678 26,579 28,202 25,127 25,300 Total Amérique du Nord
a converted from nominal to actual size using factor of 0.72 a convertis du dimension nominale au véritable avec une facteur du 0.72
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 2

TABLE 2
SAWN HARDWOOD (total) SCIAGES NON-CONIFERES (total)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 273 285 295 237 265 275 165 170 180 129 150 160 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 1,224 1,190 1,230 1,350 1,320 1,360 129 120 130 256 250 260 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Cyprus 7 9 9 0 0 0 7 9 9 0 0 0 Chypre 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 388 385 387 145 145 146 288 290 292 45 50 51 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 131 180 180 100 100 100 146 180 180 115 100 100 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 47 42 42 36 36 36 31 31 31 20 25 25 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 1,143 1,183 1,240 1,336 1,400 1,450 276 281 290 469 499 500 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 660 642 640 962 1,010 1,000 379 416 400 681 784 760 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 53 215 215 280 334 334 49 81 81 276 201 201 Hongrie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Ireland 29 41 42 2 8 9 29 35 35 3 2 2 Irlande 3 3 2 2 5 2 2 5 2 2 5 2 2 3
Italy 986 1,259 1,259 612 826 826 521 631 631 147 197 197 Italie 3 2 2 3 2 2 5 2 2 5 2 2 5 3
Latvia 174 160 200 588 650 600 45 70 50 459 560 450 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 57 57 57 39 39 39 40 40 40 22 22 22 Luxembourg 3 3 3 3 5 5 5 2 5 5 2 5 5 3
Malta 7 6 7 0 0 0 7 6 7 0 0 0 Malte 3 3 2 2 5 2 2 5 2 2 5 2 2 3
Montenegro -23 -23 -23 2 2 2 3 3 3 29 29 29 Monténégro 3 3 3 3 5 5 5 5 5 5 5 5 5 3
Netherlands 347 328 333 54 51 51 380 357 362 87 80 80 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
North Macedonia 5 5 5 5 5 5 5 5 5 5 5 5 Macédoine du Nord 3 3 3 3 2 5 5 3 5 5 3 5 5 3
Poland 515 540 550 486 510 530 250 280 300 221 250 280 Pologne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Portugal 223 219 210 148 149 150 96 100 100 22 30 40 Portugal 3 3 2 2 2 2 2 3 2 2 2 2 2 3
Serbia 141 155 170 358 375 390 91 95 100 308 315 320 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 389 400 425 340 350 400 165 150 150 116 100 125 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 121 136 136 125 141 141 98 100 100 102 105 105 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 545 609 693 487 523 544 109 113 178 51 27 29 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 106 118 103 100 120 110 44 38 30 37 40 37 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 74 80 85 50 55 60 44 40 40 20 15 15 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 2,599 2,562 2,562 2,837 2,800 2,800 71 71 71 309 309 309 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 555 555 555 37 37 37 541 541 541 23 23 23 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 10,775 11,339 11,607 10,717 11,252 11,395 4,008 4,254 4,336 3,950 4,167 4,124 Total Europe
Armenia 2 2 2 0 0 0 2 2 2 1 1 1 Arménie 3 3 3 3 2 5 5 3 5 5 3 5 5 3
Moldova 12 12 12 9 9 9 4 4 4 0 0 0 Moldova 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Russia 1,341 1,381 1,479 2,879 2,965 3,143 6 6 6 1,544 1,590 1,670 Russie 3 3 2 2 3 2 2 5 2 2 2 2 2 3
Total EECCA 1,355 1,395 1,493 2,888 2,974 3,152 12 12 12 1,545 1,591 1,670 Total EOCAC
Canada 1,261 1,350 1,350 997 942 855 753 880 959 489 472 464 Canada 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United States 13,806 14,204 14,409 16,688 16,874 17,009 630 672 692 3,511 3,342 3,293 Etats-Unis 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total North America 15,067 15,554 15,759 17,685 17,816 17,864 1,383 1,552 1,651 4,000 3,814 3,757 Total Amérique du Nord
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 2a

TABLE 2a
SAWN HARDWOOD (temperate) SCIAGES NON-CONIFERES (zone tempérée)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 269 281 291 237 265 275 161 165 175 129 149 159 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 1,219 1,186 1,226 1,347 1,318 1,358 128 118 128 256 250 260 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Cyprus 5 6 6 0 0 0 5 6 6 0 0 0 Chypre 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 381 379 381 145 145 146 279 281 283 43 48 48 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 129 177 177 100 100 100 141 175 175 112 98 98 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 45 41 41 36 36 36 26 27 27 17 22 22 Finlande 3 2 3 3 2 3 3 2 3 3 2 3 3 3
France 1,007 1,042 1,101 1,325 1,387 1,437 148 150 160 466 495 496 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 624 602 602 961 1,009 999 313 350 338 650 757 735 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 53 215 215 280 334 334 49 81 81 276 201 201 Hongrie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Ireland 16 27 28 2 8 9 16 21 21 3 2 2 Irlande 3 3 2 2 3 2 2 3 2 2 3 2 2 3
Italy 869 1,157 1,157 595 821 821 412 525 525 138 188 188 Italie 3 2 2 3 2 2 3 2 2 3 2 2 3 3
Latvia 174 160 200 588 650 600 45 70 50 459 560 450 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 52 52 52 39 39 39 34 34 34 22 22 22 Luxembourg 3 3 3 3 3 3 3 3 3 3 3 3 3 3
Malta 6 6 7 0 0 0 6 6 7 0 0 0 Malte 3 3 2 2 3 2 2 3 2 2 3 2 2 3
Montenegro -23 -23 -23 2 2 2 3 3 3 29 29 29 Monténégro 3 3 3 3 3 3 3 3 3 3 3 3 3 3
Netherlands 179 169 174 48 45 45 183 174 179 52 50 50 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
North Macedonia 5 5 5 5 5 5 4 4 4 5 5 5 Macédoine du Nord 3 3 3 3 3 3 3 3 3 3 3 3 3 3
Poland 500 524 534 483 507 527 233 262 282 216 245 275 Pologne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Portugal 176 174 163 133 134 135 53 55 50 11 15 22 Portugal 3 3 2 2 2 2 2 3 2 2 2 2 2 3
Serbia 138 152 167 357 374 389 89 93 98 308 315 320 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 389 397 422 340 350 400 165 147 147 116 100 125 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 119 135 135 125 141 141 95 98 98 102 105 105 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 501 558 631 486 520 541 63 60 114 47 22 24 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 105 117 102 100 120 110 42 37 29 37 40 37 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 65 71 76 47 52 57 38 34 34 20 15 15 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 2,563 2,526 2,526 2,832 2,795 2,795 39 39 39 308 308 308 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 489 489 489 37 37 37 470 470 470 18 18 18 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 10,051 10,623 10,882 10,650 11,195 11,338 3,239 3,486 3,557 3,838 4,057 4,013 Total Europe
Armenia 2 2 2 0 0 0 2 2 2 1 1 1 Arménie 3 3 3 3 3 3 3 3 3 3 3 3 3 3
Moldova 12 12 12 9 9 9 3 3 3 0 0 0 Moldova 3 3 3 3 2 3 3 3 3 3 3 3 3 3
Russia 1,336 1,376 1,474 2,879 2,965 3,143 1 1 1 1,544 1,590 1,670 Russie 3 3 2 2 3 2 2 3 2 2 3 2 2 3
Total EECCA 1,350 1,390 1,488 2,888 2,974 3,152 7 7 7 1,545 1,591 1,670 Total EOCAC
Canada 1,242 1,350 1,354 997 942 855 728 870 950 482 462 451 Canada 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United States 13,691 14,076 14,275 16,688 16,874 17,009 469 500 516 3,465 3,298 3,250 Etats-Unis 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total North America 14,933 15,427 15,629 17,685 17,816 17,864 1,196 1,370 1,466 3,948 3,760 3,701 Total Amérique du Nord
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 2b

TABLE 2b
SAWN HARDWOOD (tropical) SCIAGES NON-CONIFERES (tropicale)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 4 4 4 0 0 0 5 5 5 1 1 1 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 4 4 4 3 2 2 1 2 2 0 0 0 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bulgaria 0 0 0 0 0 0 0 0 0 0 0 0 Bulgarie 2 2 2 2 2 ... ... 2 ... ... 2 ... ... 2
Cyprus 2 3 3 0 0 0 2 3 3 0 0 0 Chypre 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 7 6 6 0 0 0 10 9 9 2 2 3 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 2 3 3 0 0 0 5 5 5 2 2 2 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 1 1 1 0 0 0 4 4 4 3 3 3 Finlande 3 2 3 3 2 5 5 2 5 5 2 5 5 3
France 136 141 139 11 13 13 128 131 130 3 4 4 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 36 40 38 1 1 1 66 66 62 31 27 25 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Ireland 13 14 14 0 0 0 13 14 14 0 0 0 Irlande 3 3 2 2 5 2 2 5 2 2 5 2 2 3
Italy 118 102 102 17 5 5 109 106 106 9 9 9 Italie 3 2 2 3 2 2 5 2 2 5 2 2 5 3
Luxembourg 6 5 5 0 0 0 6 6 6 0 0 0 Luxembourg 3 3 3 3 5 5 5 5 5 5 3 5 5 3
Malta 1 0 0 0 0 0 1 0 0 0 0 0 Malte 3 3 2 2 5 2 2 5 2 2 5 2 2 3
Netherlands 168 159 159 6 6 6 197 183 183 35 30 30 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
North Macedonia 1 1 1 0 0 0 1 1 1 0 0 0 Macédoine du Nord 3 3 3 3 5 5 5 3 5 5 2 5 5 3
Poland 15 16 16 3 3 3 17 18 18 5 5 5 Pologne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Portugal 47 45 47 15 15 15 43 45 50 11 15 18 Portugal 3 3 2 2 2 2 2 3 2 2 2 2 2 3
Serbia 3 3 3 1 1 1 2 2 2 0 0 0 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 0 3 3 0 0 0 0 3 3 0 0 0 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 2 1 2 0 0 0 2 2 2 0 0 1 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 44 51 62 2 3 3 46 53 64 4 5 5 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 1 1 1 0 0 0 1 1 1 0 0 0 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 9 9 9 3 3 3 6 6 6 0 0 0 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 36 36 36 5 5 5 32 32 32 1 1 1 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 67 67 67 0 0 0 71 71 71 5 5 5 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 724 715 725 68 57 57 769 768 779 113 110 111 Total Europe
Russia 5 5 5 0 0 0 5 5 5 0 0 0 Russie 3 3 2 2 3 2 2 5 2 2 5 2 2 3
Total EECCA 5 5 5 0 0 0 5 5 5 0 0 0 Total EOCAC
Canada 19 -0 -4 0 0 0 25 10 9 6 10 13 Canada 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United States 115 128 134 0 0 0 161 172 177 46 44 43 Etats-Unis 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total North America 134 128 130 0 0 0 186 182 186 53 54 56 Total Amérique du Nord
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 3

TABLE 3
VENEER SHEETS FEUILLES DE PLACAGE
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 45 55 55 8 8 8 55 66 66 17 19 19 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 40 42 42 38 40 42 8 12 12 6 10 12 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Cyprus 1 1 1 0 0 0 1 1 1 0 0 0 Chypre 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 21 35 36 29 29 29 38 60 61 47 55 55 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 78 55 55 71 70 70 64 80 80 57 95 95 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 13 12 12 152 173 173 7 9 9 146 170 170 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 185 200 200 157 160 160 134 140 140 106 100 100 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 150 147 141 100 100 100 104 90 82 55 43 41 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 83 85 85 35 43 43 69 69 69 21 27 27 Hongrie 3 2 3 3 2 2 2 2 5 5 2 2 2 3
Ireland 4 4 4 0 0 0 5 5 5 1 1 1 Irlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Italy 254 277 277 107 107 107 174 206 206 27 36 36 Italie 3 2 3 3 2 5 5 2 2 5 2 2 5 3
Latvia 120 125 125 0 0 0 148 150 150 28 25 25 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 0 0 0 0 0 0 0 0 0 0 0 0 Luxembourg 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Malta 1 1 1 0 0 0 1 1 1 0 0 0 Malte 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Netherlands 18 18 18 0 0 0 30 30 30 12 12 12 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
North Macedonia 9 9 9 0 0 0 10 10 10 1 1 1 Macédoine du Nord 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Poland 98 101 107 39 41 45 74 75 78 15 15 16 Pologne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Portugal 2 10 5 25 45 40 48 30 35 71 65 70 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 21 23 24 28 30 31 13 14 15 20 21 22 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 22 25 25 21 20 20 19 20 20 17 15 15 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 10 3 5 19 18 18 12 14 14 22 29 27 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 142 155 176 69 106 106 106 92 119 33 42 49 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 21 27 23 60 65 60 12 15 13 51 53 50 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 3 3 3 0 0 0 4 4 4 1 1 1 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 78 78 78 75 75 75 16 16 16 13 13 13 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 20 20 20 0 0 0 22 22 22 2 2 2 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 1,438 1,511 1,527 1,032 1,130 1,127 1,175 1,231 1,259 769 850 859 Total Europe
Armenia 0 0 0 0 0 0 0 0 0 0 0 0 Arménie 3 3 3 3 5 5 5 3 5 5 5 5 5 3
Moldova 15 15 15 0 0 0 15 15 15 0 0 0 Moldova 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Russia 1,096 1,440 1,692 1,570 1,963 2,257 13 13 13 487 535 578 Russie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total EECCA 1,111 1,455 1,707 1,570 1,963 2,257 28 28 28 487 535 578 Total EOCAC
Canada 178 119 111 581 565 565 145 193 203 549 639 656 Canada 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United States 2,668 2,778 2,851 2,284 2,370 2,445 600 629 632 215 221 226 Etats-Unis 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total North America 2,846 2,896 2,962 2,866 2,934 3,010 745 822 835 764 860 883 Total Amérique du Nord
Note: Definition of veneers excludes domestic use for plywood.
La définition des placages exclus la conversion directe en contreplaqué.
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 4

TABLE 4
PLYWOOD CONTREPLAQUES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 102 62 62 167 167 167 234 275 275 299 380 380 Autriche 3 3 3 3 3 5 5 2 2 2 2 2 2 3
Bosnia-Herzegovina 26 25 29 28 30 32 15 12 15 16 17 18 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Cyprus 17 19 19 0 0 0 17 19 19 0 0 0 Chypre 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 207 163 167 263 257 262 129 100 105 186 195 200 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 82 88 88 165 170 170 93 125 125 176 207 207 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 290 320 320 990 1,170 1,140 128 120 120 828 970 940 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 550 581 620 234 240 250 477 501 530 161 160 160 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 1,146 840 1,000 100 100 100 1,410 1,100 1,250 363 360 350 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 265 275 275 49 58 58 375 310 310 159 93 93 Hongrie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Ireland 57 55 57 0 0 0 57 55 57 0 0 0 Irlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Italy 422 528 528 265 265 265 348 464 464 191 201 201 Italie 3 2 3 3 2 5 5 2 2 5 2 2 5 3
Latvia 61 45 45 318 310 310 100 95 95 357 360 360 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 8 8 8 0 0 0 10 10 10 2 2 2 Luxembourg 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Malta 10 12 14 0 0 0 10 12 14 0 0 0 Malte 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Montenegro 4 4 4 0 0 0 5 5 5 1 1 1 Monténégro 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Netherlands 546 585 585 0 0 0 635 670 670 89 85 85 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
North Macedonia 27 27 27 0 0 0 28 28 28 1 1 1 Macédoine du Nord 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Poland 590 630 650 483 510 530 415 430 450 309 310 330 Pologne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Portugal 195 115 122 91 0 0 118 130 140 14 15 18 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 36 37 39 11 12 13 31 32 33 6 7 7 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 364 380 380 417 425 425 67 75 75 120 120 120 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 61 83 90 95 109 120 45 64 60 78 90 90 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 449 501 483 508 580 590 147 202 200 206 281 307 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 294 250 255 90 95 90 235 195 195 30 40 30 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 202 209 214 7 7 7 198 205 210 3 3 3 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 147 147 147 105 105 105 85 85 85 43 43 43 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 1,280 1,280 1,280 0 0 0 1,362 1,362 1,362 83 83 83 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 7,436 7,269 7,508 4,386 4,610 4,634 6,771 6,681 6,902 3,721 4,022 4,028 Total Europe
Armenia 102 102 102 0 0 0 102 102 102 0 0 0 Arménie 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Moldova 8 8 8 3 3 3 8 8 8 3 3 3 Moldova 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Russia 1,215 1,443 1,509 3,999 4,599 4,829 120 126 126 2,904 3,282 3,446 Russie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total EECCA 1,325 1,554 1,619 4,003 4,602 4,832 230 236 236 2,907 3,284 3,448 Total EOCAC
Canada 2,377 2,777 2,823 1,673 1,874 1,828 1,248 1,495 1,585 543 592 589 Canada 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United States 14,029 14,637 14,944 9,500 9,875 10,168 5,058 5,304 5,330 528 542 555 Etats-Unis 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total North America 16,406 17,415 17,767 11,172 11,749 11,996 6,305 6,799 6,915 1,071 1,134 1,144 Total Amérique du Nord
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 5

TABLE 5
PARTICLE BOARD (excluding OSB) PANNEAUX DE PARTICULES (ne comprennent pas l'OSB)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 719 798 803 2,330 2,480 2,500 308 320 325 1,919 2,002 2,022 Autriche 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Bosnia-Herzegovina 168 164 165 12 13 12 157 153 155 1 2 2 Bosnie-Herzegovine 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Cyprus 43 42 42 0 0 0 43 42 42 0 0 0 Chypre 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Czech Republic 281 400 436 774 1,010 1,040 315 320 323 809 930 927 République tchèque 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Estonia 170 185 185 180 210 210 73 74 74 83 99 99 Estonie 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Finland 144 135 135 88 88 88 76 77 77 20 30 30 Finlande 2 2 2 2 0 -3 -3 0 -3 -3 0 -3 -3 2
France 1,592 2,160 2,508 2,233 2,633 3,033 579 591 640 1,219 1,065 1,165 France 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Germany 5,789 5,660 5,815 5,556 5,550 5,575 1,903 1,660 1,840 1,670 1,550 1,600 Allemagne 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Hungary 319 405 405 334 355 355 326 352 352 340 302 302 Hongrie 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Ireland 101 114 114 0 0 0 116 130 130 16 16 16 Irlande 2 2 2 2 0 0 0 0 -3 -3 0 0 0 2
Italy 2,743 2,716 2,716 2,568 2,568 2,568 634 780 780 459 632 632 Italie 2 2 2 2 0 0 0 0 -3 0 0 -3 0 2
Latvia 162 160 160 396 400 400 49 50 50 283 290 290 Lettonie 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Luxembourg 22 22 22 0 0 0 26 26 26 4 4 4 Luxembourg 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Malta 10 10 10 0 0 0 10 10 10 0 0 0 Malte 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Montenegro 18 18 18 0 0 0 18 18 18 -0 -0 -0 Monténégro 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Netherlands 376 404 404 0 0 0 456 484 484 81 80 80 Pays-Bas 2 2 2 2 0 0 0 0 0 0 0 0 0 2
North Macedonia 95 95 95 0 0 0 96 96 96 1 1 1 Macédoine du Nord 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Poland 6,640 6,640 6,650 5,739 5,670 5,670 1,626 1,650 1,680 724 680 700 Pologne 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Portugal 549 647 693 700 710 720 288 365 412 438 428 439 Portugal 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Serbia 349 362 364 217 220 223 193 195 197 61 53 56 Serbie 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Slovakia 238 235 235 598 625 625 146 110 110 506 500 500 Slovaquie 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Slovenia 143 163 157 0 0 0 147 168 160 4 5 4 Slovénie 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Spain 1,586 1,566 1,544 1,783 1,847 1,855 446 616 645 643 897 956 Espagne 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Sweden 874 908 895 568 580 565 386 415 410 80 87 80 Suède 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Switzerland 262 280 300 366 380 390 126 125 130 230 225 220 Suisse 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Turkey 3,234 3,234 3,234 4,075 4,075 4,075 29 29 29 870 870 870 Turquie 2 2 2 2 0 0 0 0 0 0 0 0 0 2
United Kingdom 2,203 2,465 2,465 1,698 1,897 1,897 590 649 649 86 81 81 Royaume-Uni 2 2 2 2 -1 -3 -3 0 0 0 0 0 0 2
Total Europe 28,830 29,988 30,569 30,215 31,311 31,801 9,162 9,505 9,844 10,548 10,828 11,075 Total Europe
Armenia 122 122 122 0 0 0 122 122 122 0 0 0 Arménie 2 2 2 2 0 0 0 0 0 0 -1 0 0 2
Moldova 93 93 93 0 0 0 93 93 93 0 0 0 Moldova 2 2 2 2 0 0 0 -1 0 0 -3 0 0 2
Russia 5,289 6,123 6,498 6,731 7,146 7,535 299 670 789 1,741 1,692 1,825 Russie 2 2 2 2 -1 0 0 1 0 0 -1 0 0 2
Total EECCA 5,504 6,337 6,713 6,731 7,146 7,535 514 884 1,004 1,741 1,692 1,825 Total EOCAC
Canada 2,010 1,360 1,227 2,277 1,791 1,748 492 609 621 759 1,041 1,142 Canada 2 2 2 2 0 0 0 0 0 0 0 0 0 2
United States 5,237 5,408 5,515 4,136 4,465 4,553 1,462 1,334 1,359 361 391 398 Etats-Unis 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Total North America 7,247 6,768 6,742 6,413 6,257 6,302 1,954 1,943 1,980 1,121 1,432 1,539 Total Amérique du Nord
Data are calculated by subtracting OSB from the particleboard/OSB total - les données sont calculées en soustrayant les OSB du total des panneaux de particules et OSB.
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 5a

TABLE 5a
ORIENTED STRAND BOARD (OSB) PANNEAUX STRUCTURAUX ORIENTES (OSB)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 177 212 212 0 0 0 182 220 220 5 8 8 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 21 27 30 9 10 12 12 17 19 0 0 1 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Cyprus 20 18 18 0 0 0 20 18 18 0 0 0 Chypre 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 335 260 282 937 745 770 155 165 175 757 650 663 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 44 45 45 0 0 0 45 46 46 1 1 1 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 49 49 49 0 0 0 49 49 49 0 0 0 Finlande 3 2 3 3 2 5 5 2 5 5 2 5 5 3
France 450 440 442 367 367 367 118 109 110 35 35 35 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 1,569 1,640 1,635 1,234 1,250 1,275 846 840 860 511 450 500 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 120 124 124 359 332 332 77 60 60 316 268 268 Hongrie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Ireland 47 47 47 296 296 296 0 0 0 249 249 249 Irlande 3 3 3 3 5 5 5 5 5 5 5 5 5 3
Italy 302 302 302 100 100 100 231 231 231 29 29 29 Italie 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Latvia 116 70 70 698 650 650 71 70 70 653 650 650 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 76 76 76 338 338 338 7 7 7 269 269 269 Luxembourg 3 3 3 3 3 5 5 2 5 5 2 5 5 3
Montenegro 3 3 3 0 0 0 3 3 3 0 0 0 Monténégro 3 3 3 3 5 5 5 5 5 5 5 5 5 3
Netherlands 167 185 185 0 0 0 171 190 190 4 5 5 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
North Macedonia 11 11 11 0 0 0 11 11 11 0 0 0 Macédoine du Nord 3 3 3 3 5 5 5 2 5 5 3 5 5 3
Poland 666 710 750 833 930 980 246 200 220 413 420 450 Pologne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Portugal 36 33 37 0 0 0 37 35 38 1 2 1 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 62 66 69 0 0 0 66 70 73 4 4 4 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 91 90 90 0 0 0 91 90 90 1 0 0 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 34 39 38 0 0 0 35 42 40 1 3 2 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 11 4 7 2 3 3 34 37 38 25 37 34 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 140 125 125 0 0 0 146 130 130 6 5 5 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 90 90 90 0 0 0 90 90 90 0 0 0 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 170 170 170 75 75 75 101 101 101 6 6 6 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 852 901 901 598 598 598 414 455 455 160 152 152 Royaume-Uni 3 3 3 3 3 5 5 2 2 2 2 2 2 3
Total Europe 5,659 5,737 5,808 5,846 5,695 5,797 3,260 3,286 3,344 3,447 3,244 3,332 Total Europe
Armenia 4 4 4 0 0 0 4 4 4 0 0 0 Arménie 3 3 3 3 5 5 5 2 5 5 3 5 5 3
Belarus 0 0 0 0 0 0 0 0 0 0 0 0 Bélarus 2 2 2 2 2 ... ... 2 ... ... 2 ... ... 2
Moldova 34 34 34 0 0 0 34 34 34 0 0 0 Moldova 3 3 3 3 2 5 5 3 5 5 5 5 5 3
Russia 1,615 1,078 1,260 1,626 1,627 1,953 351 176 140 362 725 833 Russie 3 3 2 2 3 2 2 2 2 2 3 2 2 3
Total EECCA 1,653 1,116 1,298 1,626 1,627 1,953 389 213 178 362 725 834 Total EOCAC
Canada 1,501 1,410 1,341 6,629 7,156 7,199 123 121 120 5,251 5,866 5,978 Canada 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United States 18,584 19,345 19,723 13,713 14,088 14,366 5,066 5,459 5,561 195 201 204 Etats-Unis 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total North America 20,085 20,756 21,064 20,342 21,243 21,565 5,188 5,580 5,681 5,446 6,068 6,183 Total Amérique du Nord
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 6

TABLE 6
FIBREBOARD PANNEAUX DE FIBRES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 436 454 467 576 650 652 339 361 373 479 557 558 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 107 119 125 7 9 10 101 110 117 0 0 2 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Cyprus 15 16 16 0 0 0 15 16 16 0 0 0 Chypre 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 290 194 202 44 45 46 493 406 415 247 256 259 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 56 57 57 65 65 65 69 75 75 78 83 83 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 164 150 150 49 49 49 156 148 148 42 47 47 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 624 794 995 912 1,061 1,161 1,013 1,055 1,058 1,301 1,322 1,224 France 3 2 3 3 2 3 3 2 3 3 2 3 3 3
Germany 4,097 4,155 4,235 5,801 5,850 5,900 1,784 1,835 1,940 3,488 3,530 3,605 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 409 409 409 451 451 451 167 167 167 209 209 209 Hongrie 3 3 3 3 3 3 3 3 3 3 3 3 3 3
Ireland 168 109 109 512 512 512 102 115 115 445 518 518 Irlande 3 3 3 3 3 3 3 3 3 3 3 3 3 3
Italy 1,403 1,417 1,417 827 827 827 796 926 926 220 337 337 Italie 3 3 3 3 3 3 3 2 3 3 2 3 3 3
Latvia 35 32 32 0 0 0 57 53 53 22 21 21 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 47 47 47 147 147 147 19 19 19 119 119 119 Luxembourg 3 3 3 3 3 3 3 2 3 3 3 3 3 3
Malta 6 7 8 0 0 0 6 7 8 0 0 0 Malte 3 3 2 2 3 2 2 3 2 2 3 2 2 3
Montenegro 14 14 14 0 0 0 14 14 14 0 0 0 Monténégro 3 3 3 3 3 3 3 3 3 3 3 3 3 3
Netherlands 463 469 469 29 29 29 541 585 585 107 145 145 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
North Macedonia 53 53 53 0 0 0 53 53 53 0 0 0 Macédoine du Nord 3 3 3 3 3 3 3 3 3 3 3 3 3 3
Poland 3,676 3,855 4,055 4,844 4,960 5,110 851 875 945 2,019 1,980 2,000 Pologne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Portugal 382 391 386 443 453 457 320 323 326 382 385 397 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 124 133 134 24 26 27 134 143 145 34 36 38 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 201 210 210 0 0 0 224 230 230 23 20 20 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 23 23 23 118 128 128 49 71 60 144 176 165 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 1,038 1,012 1,138 1,535 1,714 1,874 371 444 465 869 1,146 1,201 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 268 307 295 0 0 0 347 390 375 78 83 80 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 272 292 302 192 205 210 263 266 266 183 179 174 Suisse 3 2 3 3 2 3 3 2 3 3 2 3 3 3
Turkey 4,623 4,623 4,623 4,835 4,835 4,835 74 74 74 286 286 286 Turquie 3 3 3 3 2 2 2 2 2 2 3 3 3 3
United Kingdom 1,475 1,487 1,487 656 656 656 879 889 889 59 58 58 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 20,470 20,828 21,457 22,067 22,672 23,146 9,238 9,650 9,857 10,835 11,494 11,546 Total Europe
Armenia 63 63 63 0 0 0 63 63 63 0 0 0 Arménie 3 3 3 3 3 3 3 2 3 3 3 3 3 3
Moldova 37 37 37 0 0 0 37 37 37 0 0 0 Moldova 3 2 3 3 2 3 3 2 3 3 2 3 3 3
Russia 2,802 3,415 3,674 3,581 4,301 4,635 459 591 637 1,238 1,476 1,597 Russie 3 3 3 3 3 2 2 3 3 3 3 2 2 3
Total EECCA 2,902 3,515 3,775 3,581 4,301 4,635 559 691 737 1,238 1,476 1,597 Total EOCAC
Canada 1,219 1,573 1,583 1,290 1,340 1,340 761 1,066 1,074 832 832 831 Canada 3 3 2 2 3 2 2 2 2 2 2 2 2 3
United States 8,244 8,244 8,244 6,058 6,058 6,058 2,876 2,876 2,876 690 690 690 Etats-Unis 3 3 3 3 3 3 3 2 3 3 2 3 3 3
Total North America 9,463 9,818 9,827 7,348 7,398 7,398 3,638 3,942 3,951 1,523 1,522 1,521 Total Amérique du Nord
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 6a

TABLE 6a
HARDBOARD PANNEAUX DURS
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 35 30 32 66 70 72 18 17 18 49 57 58 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 11 13 16 1 1 1 10 12 15 0 0 0 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Cyprus 2 2 2 0 0 0 2 2 2 0 0 0 Chypre 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 6 55 57 0 0 0 55 67 68 49 11 11 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 26 25 25 0 0 0 28 30 30 3 5 5 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 33 24 24 49 49 49 21 18 18 37 43 43 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France -135 -135 -135 87 87 87 225 225 225 447 447 447 France 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Germany 203 205 210 0 0 0 231 235 240 28 30 30 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 27 27 27 2 2 2 35 35 35 10 10 10 Hongrie 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Ireland 22 20 20 0 0 0 22 20 20 0 0 0 Irlande 3 3 3 3 5 5 5 5 2 2 5 5 5 3
Italy 109 109 109 16 16 16 105 105 105 12 12 12 Italie 3 3 3 3 5 5 5 2 5 5 2 5 5 3
Latvia 13 13 13 0 0 0 15 15 15 2 2 2 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 5 5 5 0 0 0 5 5 5 0 0 0 Luxembourg 3 3 3 3 3 5 5 2 5 5 3 5 5 3
Malta 0 1 1 0 0 0 0 1 1 0 0 0 Malte 3 3 2 2 5 2 2 5 2 2 5 2 2 3
Montenegro 2 2 2 0 0 0 2 2 2 0 0 0 Monténégro 3 3 3 3 5 5 5 5 5 5 5 5 5 3
Netherlands 43 45 45 0 0 0 64 65 65 21 20 20 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
North Macedonia 10 10 10 0 0 0 10 10 10 0 0 0 Macédoine du Nord 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Poland -157 -80 -10 91 110 110 151 160 180 398 350 300 Pologne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Portugal 21 28 25 12 19 20 28 29 30 19 20 25 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 35 39 40 24 26 27 30 33 34 19 20 21 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 22 20 20 0 0 0 23 20 20 1 0 0 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 1 2 2 0 0 0 9 9 9 8 7 7 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain -4 13 12 32 40 41 34 50 48 70 77 77 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 71 70 69 0 0 0 81 82 80 10 12 11 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 13 13 13 0 0 0 21 21 21 8 8 8 Suisse 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Turkey 7 7 7 0 0 0 57 57 57 50 50 50 Turquie 3 2 3 3 2 2 2 2 2 2 2 5 5 3
United Kingdom 96 96 96 0 0 0 101 101 101 4 4 4 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 517 659 736 380 420 425 1,384 1,425 1,453 1,246 1,186 1,142 Total Europe
Armenia 4 4 4 0 0 0 4 4 4 0 0 0 Arménie 3 3 3 3 5 5 5 2 5 5 3 5 5 3
Moldova 16 16 16 0 0 0 16 16 16 0 0 0 Moldova 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Russia 322 390 350 370 450 400 100 100 100 148 160 150 Russie 3 2 3 3 2 2 2 2 5 5 2 2 2 3
Total EECCA 341 409 369 370 450 400 119 119 119 148 160 150 Total EOCAC
Canada 63 81 75 90 90 90 65 93 93 92 102 108 Canada 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United States 211 211 211 212 212 212 238 238 238 239 239 239 Etats-Unis 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Total North America 274 292 286 302 302 302 303 331 331 331 341 347 Total Amérique du Nord
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 6b

TABLE 6b
MDF/HDF
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 255 259 260 510 580 580 170 174 175 425 495 495 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 88 94 96 5 6 7 83 88 90 0 0 1 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Cyprus 12 13 13 0 0 0 12 13 13 0 0 0 Chypre 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 198 87 91 44 45 46 253 154 158 99 112 113 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 22 23 23 0 0 0 38 41 41 16 18 18 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 111 106 106 0 0 0 115 110 110 4 4 4 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 706 859 1,060 751 900 1,000 716 757 760 761 798 700 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 2,314 2,325 2,375 4,600 4,625 4,650 593 600 650 2,879 2,900 2,925 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 355 355 355 430 430 430 117 117 117 193 193 193 Hongrie 3 3 3 3 5 5 5 5 5 5 5 5 5 3
Ireland 74 89 89 438 438 438 80 95 95 445 445 445 Irlande 3 3 3 3 5 5 5 5 2 2 5 5 5 3
Italy 1,229 1,243 1,243 809 809 809 627 757 757 207 323 323 Italie 3 2 3 3 2 5 5 2 2 5 2 2 5 3
Latvia 21 18 18 0 0 0 23 20 20 2 2 2 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 37 37 37 147 147 147 9 9 9 119 119 119 Luxembourg 3 3 3 3 3 5 5 2 5 5 3 5 5 3
Malta 5 5 6 0 0 0 5 5 6 0 0 0 Malte 3 3 2 2 5 2 2 5 2 2 5 2 2 3
Montenegro 6 6 6 0 0 0 6 6 6 0 0 0 Monténégro 3 3 3 3 5 5 5 5 5 5 5 5 5 3
Netherlands 318 315 315 0 0 0 399 435 435 81 120 120 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
North Macedonia 12 12 12 0 0 0 12 12 12 0 0 0 Macédoine du Nord 3 3 3 3 5 5 5 3 5 5 2 5 5 3
Poland 3,209 3,300 3,400 3,178 3,250 3,350 684 700 750 653 650 700 Pologne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Portugal 360 362 362 423 425 428 280 282 284 343 345 350 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 85 89 89 0 0 0 100 105 106 15 16 17 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 119 120 120 0 0 0 140 140 140 21 20 20 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 17 16 16 118 128 128 32 54 43 132 166 155 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 994 950 1,077 1,448 1,617 1,775 326 379 402 780 1,047 1,100 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 181 220 211 0 0 0 238 280 270 57 60 59 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 90 105 110 192 205 210 73 70 65 175 170 165 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 4,669 4,669 4,669 4,775 4,775 4,775 17 17 17 123 123 123 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 1,315 1,327 1,327 656 656 656 710 720 720 51 49 49 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 16,801 17,002 17,485 18,524 19,037 19,430 5,859 6,141 6,251 7,582 8,175 8,197 Total Europe
Armenia 57 57 57 0 0 0 57 57 57 0 0 0 Arménie 3 3 3 3 5 5 5 2 5 5 2 5 5 3
Moldova 21 21 21 0 0 0 21 21 21 0 0 0 Moldova 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Russia 2,448 2,993 3,292 3,199 3,839 4,223 329 461 507 1,080 1,307 1,437 Russie 3 3 2 2 3 2 2 3 2 2 3 2 2 3
Total EECCA 2,527 3,071 3,371 3,199 3,839 4,223 408 539 585 1,080 1,307 1,438 Total EOCAC
Canada 1,041 1,327 1,343 1,100 1,150 1,150 569 793 797 628 615 604 Canada 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United States 4,836 4,836 4,836 2,667 2,667 2,667 2,453 2,453 2,453 284 284 284 Etats-Unis 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Total North America 5,877 6,163 6,179 3,767 3,817 3,817 3,022 3,246 3,251 912 899 889 Total Amérique du Nord
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 6c

TABLE 6c
OTHER FIBREBOARD AUTRES PANNEAUX DE FIBRES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 146 165 175 0 0 0 151 170 180 5 5 5 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 8 12 13 1 2 2 8 10 12 0 0 1 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Cyprus 1 1 1 0 0 0 1 1 1 0 0 0 Chypre 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 86 52 54 0 0 0 185 185 189 99 133 135 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 9 9 9 65 65 65 3 4 4 59 60 60 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 20 20 20 0 0 0 20 20 20 0 0 0 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 53 70 70 74 74 74 72 73 73 93 77 77 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 1,580 1,625 1,650 1,201 1,225 1,250 961 1,000 1,050 581 600 650 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 28 28 28 19 19 19 15 15 15 6 6 6 Hongrie 3 3 3 3 5 5 5 5 5 5 5 5 5 3
Ireland 73 0 0 73 73 73 0 0 0 0 73 73 Irlande 3 3 3 3 5 5 5 5 5 5 5 5 5 3
Italy 65 65 65 3 3 3 65 65 65 2 2 2 Italie 3 3 3 3 5 5 5 2 5 5 2 5 5 3
Latvia 1 1 1 0 0 0 19 18 18 18 17 17 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 5 5 5 0 0 0 5 5 5 0 0 0 Luxembourg 3 3 3 3 3 5 5 2 5 5 2 5 5 3
Malta 1 1 1 0 0 0 1 1 1 0 0 0 Malte 3 3 2 2 5 2 2 5 2 2 5 2 2 3
Montenegro 6 6 6 0 0 0 6 6 6 0 0 0 Monténégro 3 3 3 3 5 5 5 5 5 5 5 5 5 3
Netherlands 102 109 109 29 29 29 78 85 85 5 5 5 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
North Macedonia 32 32 32 0 0 0 32 32 32 0 0 0 Macédoine du Nord 3 3 3 3 5 5 5 3 5 5 3 5 5 3
Poland 624 635 665 1,575 1,600 1,650 17 15 15 968 980 1,000 Pologne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Portugal 0 1 -1 8 9 9 12 12 12 19 20 22 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 4 5 5 0 0 0 4 5 5 0 0 0 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 60 70 70 0 0 0 60 70 70 0 0 0 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 5 5 5 0 0 0 8 8 8 3 3 3 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 48 49 49 55 57 58 11 15 15 18 23 24 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 16 17 15 0 0 0 28 28 25 12 11 10 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 169 174 179 0 0 0 169 175 180 1 1 1 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey -53 -53 -53 60 60 60 0 0 0 113 113 113 Turquie 3 3 3 3 2 2 2 2 2 2 5 5 5 3
United Kingdom 64 64 64 0 0 0 68 68 68 4 4 4 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 3,152 3,167 3,236 3,163 3,215 3,291 1,996 2,085 2,153 2,007 2,133 2,208 Total Europe
Armenia 2 2 2 0 0 0 2 2 2 0 0 0 Arménie 3 3 3 3 5 5 5 2 5 5 2 5 5 3
Moldova 1 1 1 0 0 0 1 1 1 0 0 0 Moldova 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Russia 32 32 32 12 12 12 30 30 30 10 10 10 Russie 3 3 2 2 3 2 2 3 2 2 3 2 2 3
Total EECCA 35 35 35 12 12 12 32 32 32 10 10 10 Total EOCAC
Canada 115 165 166 100 100 100 127 180 184 112 115 118 Canada 3 3 2 2 5 2 2 2 2 2 2 2 2 3
United States 3,197 3,197 3,197 3,179 3,179 3,179 185 185 185 167 167 167 Etats-Unis 3 3 3 3 5 5 5 2 5 5 2 5 5 3
Total North America 3,312 3,362 3,363 3,279 3,279 3,279 312 365 369 279 282 285 Total Amérique du Nord
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 7

TABLE 7
WOOD PULP PATE DE BOIS
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 mt
Apparent Consumption
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 2,158 2,300 2,330 2,022 2,020 2,100 578 680 680 442 400 450 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 111 118 118 70 75 76 41 43 42 0 0 0 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 805 831 772 594 591 611 253 240 250 42 0 89 République tchèque 2 2 2 2 2 2 2 2 2 2 2 ... 2 2
Estonia 81 70 70 231 250 250 47 50 50 198 230 230 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland a 6,411 6,802 6,616 10,520 11,318 11,331 224 220 220 4,333 4,736 4,935 Finlande a 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 2,918 2,927 2,800 1,620 1,650 1,600 1,745 1,726 1,700 447 449 500 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 5,015 5,167 5,178 2,255 2,267 2,278 3,952 4,000 4,000 1,192 1,100 1,100 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 195 177 177 51 33 33 147 145 145 4 2 2 Hongrie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Ireland 41 45 45 0 0 0 41 45 45 0 0 0 Irlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Italy 3,416 3,416 3,416 223 223 223 3,271 3,271 3,271 77 77 77 Italie 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Latvia 1 1 1 0 0 0 1 1 1 0 0 0 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 0 0 0 0 0 0 0 0 0 0 0 0 Luxembourg 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Netherlands 1,137 1,057 737 37 37 37 1,782 1,900 1,500 682 880 800 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Poland 2,709 2,750 2,810 1,717 1,730 1,750 1,152 1,180 1,230 159 160 170 Pologne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Portugal 1,506 1,615 1,650 2,683 2,700 2,750 143 145 150 1,320 1,230 1,250 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 86 88 90 0 0 0 86 88 90 0 0 0 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 537 550 550 687 675 675 162 175 175 312 300 300 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 367 353 347 91 83 85 289 275 270 13 5 8 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 1,847 1,837 1,933 1,730 1,798 1,923 1,047 1,088 1,209 929 1,049 1,199 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 8,437 8,460 8,260 12,034 12,100 11,850 653 610 610 4,250 4,250 4,200 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 171 160 160 72 70 70 99 90 90 0 0 0 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 1,381 989 1,138 70 70 70 1,442 1,050 1,200 131 131 132 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 971 924 924 220 220 220 768 721 721 17 17 17 Royaume-Uni 3 3 3 3 3 5 5 2 2 2 2 2 2 3
Total Europe 40,301 40,637 40,122 36,927 37,909 37,932 17,924 17,744 17,650 14,549 15,016 15,459 Total Europe
Russia 6,532 6,548 6,677 8,765 8,853 9,030 211 213 215 2,444 2,517 2,568 Russie 3 3 2 2 2 2 2 3 2 2 2 2 2 3
Total EECCA 6,532 6,548 6,677 8,765 8,853 9,030 211 213 215 2,444 2,517 2,568 Total EOCAC
Canada 5,731 6,411 6,547 14,109 14,198 13,702 640 1,109 1,555 9,018 8,896 8,710 Canada 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United States 48,726 48,750 48,763 50,871 50,895 50,907 5,661 5,664 5,665 7,806 7,809 7,809 Etats-Unis 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total North America 54,457 55,161 55,310 64,980 65,093 64,609 6,301 6,773 7,220 16,825 16,705 16,519 Total Amérique du Nord
a imports exclude dissolving pulp a les importations excluent pâte à dissoudre
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 8

TABLE 8
PAPER AND PAPERBOARD PAPIERS ET CARTONS
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 mt
Apparent Consumption
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 2,111 2,170 2,200 4,719 5,050 5,100 1,275 1,300 1,350 3,882 4,180 4,250 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 154 160 166 167 180 182 99 100 106 113 120 122 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Cyprus 46 48 48 0 0 0 46 48 48 0 0 0 Chypre 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 1,451 1,460 1,474 893 904 924 1,436 1,447 1,480 878 891 930 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 134 140 140 72 75 75 133 140 140 71 75 75 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 702 740 720 8,210 8,750 8,540 319 320 320 7,827 8,330 8,140 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 7,904 8,069 8,300 6,873 7,000 7,300 4,487 4,661 4,500 3,456 3,592 3,500 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 18,251 18,660 18,983 21,348 23,060 23,383 9,999 10,000 10,000 13,096 14,400 14,400 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 928 944 944 864 861 861 841 852 852 777 769 769 Hongrie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Ireland 422 410 415 60 65 70 388 370 375 26 25 30 Irlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Italy 10,204 10,204 10,204 8,514 8,514 8,514 4,773 4,773 4,773 3,083 3,083 3,083 Italie 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Latvia 163 160 160 25 30 30 170 170 170 32 40 40 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 25 25 25 0 0 0 31 31 31 6 6 6 Luxembourg 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Malta 26 23 24 0 0 0 26 23 24 0 0 0 Malte 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Montenegro 10 10 10 0 0 0 10 10 10 0 0 0 Monténégro 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Netherlands 2,608 2,670 2,670 2,869 2,870 2,870 2,278 2,300 2,300 2,539 2,500 2,500 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
North Macedonia 79 79 79 28 28 28 68 68 68 16 16 16 Macédoine du Nord 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Poland 7,332 7,400 7,500 5,129 5,250 5,350 4,677 4,700 4,750 2,474 2,550 2,600 Pologne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Portugal 1,007 1,050 990 1,900 2,000 2,030 858 850 860 1,751 1,800 1,900 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 727 733 737 577 580 583 452 456 459 302 303 305 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 476 600 600 758 900 950 427 400 400 709 700 750 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 833 730 680 706 650 600 757 710 710 630 630 630 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 6,483 6,541 6,390 6,269 6,473 6,477 2,734 2,823 2,917 2,520 2,756 3,004 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 1,428 1,195 1,090 9,333 9,130 8,800 656 665 650 8,561 8,600 8,360 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 1,050 1,050 1,055 1,168 1,170 1,175 621 610 600 739 730 720 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 4,489 4,489 4,489 2,800 2,800 2,800 2,505 2,505 2,505 816 816 816 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 7,321 7,207 7,225 3,631 3,600 3,550 4,439 4,325 4,375 749 718 700 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 76,362 76,966 77,318 86,911 89,940 90,192 44,504 44,656 44,772 55,053 57,630 57,646 Total Europe
Armenia 61 61 61 21 21 21 41 41 41 0 0 0 Arménie 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Moldova 44 44 44 8 8 8 39 39 39 2 2 2 Moldova 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Russia 7,116 7,615 7,952 9,527 10,194 10,704 1,191 1,167 1,143 3,601 3,745 3,895 Russie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total EECCA 7,222 7,721 8,057 9,556 10,223 10,733 1,270 1,246 1,223 3,604 3,748 3,898 Total EOCAC
Canada 4,720 4,715 4,572 8,352 8,604 8,379 2,362 2,474 2,406 5,994 6,363 6,213 Canada 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United States 63,567 66,128 67,399 66,239 68,536 70,152 7,642 7,832 7,870 10,314 10,240 10,623 Etats-Unis 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total North America 68,287 70,843 71,971 74,591 77,140 78,532 10,003 10,306 10,276 16,308 16,603 16,836 Total Amérique du Nord
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 9

TABLE 9
REMOVALS OF WOOD IN THE ROUGH QUANTITES ENLEVEES DE BOIS BRUT
TOTAL TOTAL
1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
Country Industrial wood - Bois industriels Wood fuel c Bois de chauffage c Pays
Total Logs Pulpwood a Other b Total
Grumes Bois de trituration a Autre b
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Total Ind. RW Logs Pulpwood Other Wood fuel Total RW Country
Austria 11,462 12,924 13,110 8,504 9,732 9,830 2,958 3,192 3,280 0 0 0 5,327 5,111 5,200 16,790 18,035 18,310 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 2,819 2,806 2,848 2,031 2,016 2,050 614 624 626 174 166 172 1,484 1,502 1,496 4,303 4,308 4,344 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Cyprus 2 2 2 2 2 2 0 0 0 0 0 0 6 7 7 9 9 9 Chypre 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 29,152 21,353 18,590 20,678 13,107 10,325 8,359 8,133 8,150 115 113 115 6,717 7,160 7,210 35,869 28,513 25,800 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 6,502 6,100 6,100 4,134 3,900 3,900 2,316 2,150 2,150 52 50 50 4,136 3,830 3,830 10,637 9,930 9,930 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 51,530 56,946 57,515 22,479 25,857 25,679 29,051 31,089 31,836 0 0 0 8,893 8,893 8,893 60,423 65,839 66,407 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 24,259 25,840 25,080 15,965 17,400 16,700 7,793 7,900 7,800 501 540 580 23,444 24,500 25,700 47,703 50,340 50,780 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 61,790 62,377 61,177 48,213 48,900 47,300 13,503 13,400 13,800 74 77 77 22,261 21,300 21,300 84,051 83,677 82,477 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 2,457 2,796 2,796 1,155 1,257 1,257 902 919 919 400 619 619 2,516 2,672 2,672 4,972 5,468 5,468 Hongrie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Ireland 3,695 3,542 3,772 2,350 2,485 2,647 1,197 877 934 148 180 192 286 232 247 3,981 3,774 4,019 Irlande 3 3 2 2 3 2 2 2 2 2 3 2 2 3 2 2 3 2 2 3
Italy 5,002 5,002 5,002 3,352 3,352 3,352 1,018 1,018 1,018 632 632 632 10,839 10,839 10,839 15,841 15,841 15,841 Italie 3 2 3 3 2 3 3 2 2 2 2 3 3 3 3 3 3 3 3 3
Latvia 12,727 12,350 12,350 7,379 7,400 7,400 4,123 3,850 3,850 1,225 1,100 1,100 2,620 2,580 2,580 15,347 14,930 14,930 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 291 340 332 81 88 86 104 166 160 106 86 86 59 77 73 350 416 405 Luxembourg 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Montenegro 299 150 234 249 124 187 43 22 42 7 4 5 49 25 37 348 174 271 Monténégro 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Netherlands 662 725 725 214 260 260 402 420 420 46 45 45 2,323 2,325 2,325 2,985 3,050 3,050 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
North Macedonia 125 125 125 114 114 114 0 0 0 11 11 11 610 610 610 735 735 735 Macédoine du Nord 3 2 3 3 2 3 3 2 2 2 2 3 3 2 3 3 2 3 3 3
Poland 35,879 37,290 38,050 16,913 17,200 17,400 18,355 19,400 19,900 612 690 750 4,713 4,800 4,900 40,593 42,090 42,950 Pologne 3 3 3 3 2 2 2 3 3 3 2 2 2 2 2 2 3 3 3 3
Portugal 11,803 12,316 12,190 1,916 2,066 1,980 9,540 9,900 9,850 347 350 360 1,618 1,500 1,560 13,422 13,816 13,750 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 1,782 1,806 1,830 1,217 1,230 1,238 388 396 408 177 180 184 6,454 6,550 6,705 8,236 8,356 8,535 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 6,924 7,185 7,435 3,913 4,100 4,250 2,984 3,050 3,150 26 35 35 524 525 575 7,448 7,710 8,010 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 2,818 2,383 2,476 1,971 1,600 1,700 797 720 720 50 63 56 1,074 1,070 1,070 3,891 3,453 3,546 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 13,881 14,462 14,848 4,114 4,241 4,438 9,431 9,740 9,901 336 481 509 1,615 1,648 1,758 15,496 16,110 16,606 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 69,000 71,000 70,400 37,200 38,400 37,600 31,500 32,300 32,500 300 300 300 5,400 5,600 5,600 74,400 76,600 76,000 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 2,807 2,933 3,003 2,322 2,440 2,500 482 490 500 3 3 3 1,845 1,890 1,960 4,652 4,823 4,963 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 24,474 24,790 24,790 10,889 11,000 11,000 12,447 12,650 12,650 1,138 1,140 1,140 5,396 5,856 5,856 29,870 30,646 30,646 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 8,009 8,636 8,636 5,892 6,475 6,475 1,632 1,632 1,632 485 528 528 2,429 2,429 2,429 10,438 11,065 11,065 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 390,151 396,178 393,415 223,248 224,746 219,670 159,938 164,038 166,197 6,965 7,393 7,549 122,638 123,531 125,432 512,789 519,708 518,848 Total Europe
Armenia 4 4 4 0 0 0 0 0 0 4 4 4 1,546 1,546 1,546 1,550 1,550 1,550 Arménie 3 2 3 3 2 3 3 2 2 2 2 3 3 3 3 3 3 3 3 3
Moldova 45 45 45 31 31 31 0 0 0 14 14 14 1,219 1,219 1,219 1,264 1,264 1,264 Moldova 3 2 3 3 2 3 3 2 2 2 2 3 3 3 3 3 3 3 3 3
Russia 201,891 205,132 198,720 135,325 137,274 132,286 48,954 50,070 49,541 17,612 17,788 16,894 15,109 15,260 14,805 217,000 220,392 213,525 Russie 3 3 2 2 3 2 2 2 2 2 3 2 2 3 2 2 3 2 2 3
Total EECCA 201,941 205,182 198,769 135,356 137,305 132,317 48,954 50,070 49,541 17,630 17,806 16,912 17,873 18,024 17,569 219,814 223,206 216,338 Total EOCAC
Canada 130,430 125,381 125,381 116,298 111,984 111,984 12,278 11,544 11,544 1,853 1,853 1,853 1,750 1,750 1,750 132,180 127,132 127,132 Canada 3 3 2 2 3 2 2 2 2 2 2 2 2 2 2 2 3 2 2 3
United States 369,175 380,381 383,613 180,237 191,345 194,529 175,722 175,805 175,846 13,215 13,230 13,238 60,525 60,588 60,622 429,700 440,969 444,235 Etats-Unis 3 2 3 3 2 2 2 2 3 3 2 2 2 2 2 2 2 3 3 3
Total North America 499,604 505,762 508,995 296,536 303,330 306,513 188,000 187,349 187,390 15,069 15,083 15,091 62,276 62,338 62,372 561,880 568,101 571,367 Total Amérique du Nord
a Pulpwood, round and split, as well as chips and particles produced directly a Bois de trituration, rondins et quartiers, ainse que plaquettes et particules fabriquées
therefrom and used as pulpwood directement à partir des rondins et quartiers et utilisées comme bois de trituration
b Pitprops, poles, piling, posts etc. b Bois de mine, poteaux, pilotis, piquets etc.
c Including chips and particles produced from wood in the rough and c Y compris plaquettes et particules fabriquées à partir du bois brut et utilisées
used for energy purposes à des fins energétiques
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 9a

TABLE 9a
REMOVALS OF WOOD IN THE ROUGH QUANTITES ENLEVEES DE BOIS BRUT
SOFTWOOD CONIFERES
1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
Country Industrial wood - Bois industriels Wood fuel c Bois de chauffage c Pays
Total Logs Pulpwood a Other b Total
Grumes Bois de trituration a Autre b
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Total Ind. RW Logs Pulpwood Other Wood fuel Total RW Country
Austria 10,587 11,920 12,100 8,229 9,410 9,500 2,358 2,510 2,600 0 0 0 3,359 3,067 3,200 13,946 14,987 15,300 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 2,120 2,097 2,133 1,417 1,390 1,420 559 567 570 144 140 143 5 7 6 2,125 2,104 2,139 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Cyprus 2 2 2 2 2 2 0 0 0 0 0 0 5 6 6 7 8 8 Chypre 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 28,432 20,624 17,850 20,286 12,716 9,942 8,036 7,799 7,798 110 109 110 6,165 6,615 6,675 34,597 27,239 24,525 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 4,434 4,200 4,200 3,259 3,100 3,100 1,148 1,075 1,075 27 25 25 1,426 1,330 1,330 5,861 5,530 5,530 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 43,228 48,622 48,806 21,593 24,690 24,512 21,635 23,931 24,294 0 0 0 4,304 4,304 4,304 47,532 52,926 53,110 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 16,361 17,840 16,860 11,669 13,000 12,000 4,479 4,600 4,600 213 240 260 2,344 2,500 2,700 18,705 20,340 19,560 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 56,362 57,175 56,075 45,700 46,500 45,000 10,590 10,600 11,000 72 75 75 9,005 8,500 8,500 65,366 65,675 64,575 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 858 832 832 169 159 159 596 542 542 94 130 130 142 116 116 1,000 948 948 Hongrie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Ireland 3,692 3,532 3,762 2,347 2,475 2,636 1,197 877 934 148 180 192 276 120 128 3,968 3,652 3,889 Irlande 3 3 2 2 3 2 2 2 2 2 5 2 2 5 2 2 3 2 2 3
Italy 4,125 4,125 4,125 2,792 2,792 2,792 853 853 853 480 480 480 1,180 1,180 1,180 5,305 5,305 5,305 Italie 3 2 3 3 2 3 3 2 2 2 2 5 5 5 5 5 3 3 3 3
Latvia 8,407 8,100 8,100 5,476 5,400 5,400 2,241 2,100 2,100 690 600 600 285 280 280 8,692 8,380 8,380 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 209 169 169 63 51 51 40 32 32 106 86 86 37 30 30 246 198 199 Luxembourg 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Montenegro 167 84 136 148 74 111 17 9 23 2 1 2 5 3 4 172 87 139 Monténégro 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Netherlands 446 475 475 154 180 180 255 260 260 37 35 35 423 425 425 869 900 900 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
North Macedonia 51 51 51 41 41 41 0 0 0 10 10 10 26 26 26 77 77 77 Macédoine du Nord 3 2 3 3 2 3 3 2 2 2 2 5 5 2 5 5 2 3 3 3
Poland 28,625 29,550 29,800 14,167 14,400 14,500 13,886 14,500 14,600 572 650 700 2,297 2,350 2,400 30,922 31,900 32,200 Pologne 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Portugal 3,974 4,316 4,190 1,696 1,866 1,800 2,130 2,300 2,230 147 150 160 422 400 410 4,396 4,716 4,600 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 372 381 390 229 235 240 94 96 98 49 50 52 142 150 155 514 531 545 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 3,776 3,925 4,025 2,598 2,700 2,750 1,157 1,200 1,250 21 25 25 259 250 300 4,035 4,175 4,325 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 1,985 1,445 1,595 1,624 1,200 1,300 346 230 280 15 15 15 121 120 120 2,106 1,565 1,715 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 6,836 7,224 7,522 3,150 3,276 3,473 3,489 3,665 3,751 197 282 298 483 516 626 7,319 7,740 8,148 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 62,550 64,450 63,750 37,000 38,200 37,400 25,400 26,100 26,200 150 150 150 2,700 2,800 2,800 65,250 67,250 66,550 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 2,403 2,512 2,567 2,093 2,200 2,250 308 310 315 2 2 2 786 790 810 3,189 3,302 3,377 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 15,721 15,925 15,925 7,429 7,500 7,500 7,222 7,350 7,350 1,070 1,075 1,075 2,756 2,756 2,756 18,477 18,681 18,681 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 7,896 8,523 8,523 5,829 6,412 6,412 1,630 1,630 1,630 436 480 480 1,817 1,817 1,817 9,713 10,339 10,339 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 313,618 318,097 313,962 199,160 199,969 194,471 109,665 113,137 114,386 4,793 4,990 5,105 40,770 40,456 41,103 354,388 358,553 355,065 Total Europe
Armenia 4 4 4 0 0 0 0 0 0 4 4 4 0 0 0 4 4 4 Arménie 3 2 3 3 2 3 3 2 2 2 2 5 5 5 5 5 3 3 3 3
Moldova 1 1 1 1 1 1 0 0 0 0 0 0 2 2 2 3 3 3 Moldova 3 2 3 3 2 3 3 2 2 2 2 5 5 2 5 5 2 3 3 3
Russia 161,011 162,621 153,754 120,439 121,644 115,562 33,289 33,622 31,941 7,283 7,356 6,252 10,752 10,859 10,316 171,763 173,480 164,071 Russie 3 3 2 2 3 2 2 2 2 2 3 2 2 3 2 2 3 2 2 3
Total EECCA 161,016 162,626 153,759 120,440 121,645 115,563 33,289 33,622 31,941 7,287 7,360 6,256 10,754 10,861 10,318 171,770 173,487 164,078 Total EOCAC
Canada 107,661 103,728 103,728 103,717 100,117 100,117 3,804 3,470 3,470 140 140 140 805 805 805 108,466 104,533 104,533 Canada 3 3 2 2 3 2 2 2 2 2 2 2 2 2 2 2 3 2 2 3
United States 293,023 296,554 299,112 147,988 151,442 153,962 133,458 133,521 133,552 11,578 11,591 11,598 26,345 26,374 26,390 319,368 322,928 325,502 Etats-Unis 3 2 3 3 2 2 2 2 3 3 2 2 2 2 2 2 2 3 3 3
Total North America 400,685 400,282 402,839 251,705 251,559 254,079 137,262 136,992 137,023 11,718 11,731 11,738 27,150 27,179 27,195 427,834 427,461 430,034 Total Amérique du Nord
a Pulpwood, round and split, as well as chips and particles produced directly a Bois de trituration, rondins et quartiers, ainse que plaquettes et particules fabriquées
therefrom and used as pulpwood directement à partir des rondins et quartiers et utilisées comme bois de trituration
b Pitprops, poles, piling, posts etc. b Bois de mine, poteaux, pilotis, piquets etc.
c Including chips and particles produced from wood in the rough and c Y compris plaquettes et particules fabriquées à partir du bois brut et utilisées
used for energy purposes à des fins energétiques
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 9b

TABLE 9b
REMOVALS OF WOOD IN THE ROUGH QUANTITES ENLEVEES DE BOIS BRUT
HARDWOOD NON-CONIFERES
1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
Country Industrial wood - Bois industriels Wood fuel c Bois de chauffage c Pays
Total Logs Pulpwood a Other b Total
Grumes Bois de trituration a Autre b
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Total Ind. RW Logs Pulpwood Other Wood fuel Total RW Country
Austria 876 1,004 1,010 275 322 330 600 682 680 0 0 0 1,968 2,044 2,000 2,843 3,048 3,010 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 699 709 715 614 626 630 55 57 56 30 26 29 1,479 1,495 1,490 2,178 2,204 2,205 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Cyprus 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 Chypre 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 720 729 740 392 391 383 323 334 352 5 4 5 552 545 535 1,272 1,274 1,275 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 2,068 1,900 1,900 875 800 800 1,168 1,075 1,075 25 25 25 2,709 2,500 2,500 4,777 4,400 4,400 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 8,302 8,324 8,708 886 1,167 1,167 7,416 7,158 7,542 0 0 0 4,589 4,589 4,589 12,891 12,913 13,297 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 7,898 8,000 8,220 4,296 4,400 4,700 3,314 3,300 3,200 288 300 320 21,100 22,000 23,000 28,998 30,000 31,220 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 5,428 5,202 5,102 2,513 2,400 2,300 2,913 2,800 2,800 2 2 2 13,257 12,800 12,800 18,685 18,002 17,902 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 1,598 1,964 1,964 986 1,098 1,098 306 377 377 306 489 489 2,374 2,557 2,557 3,972 4,520 4,520 Hongrie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Ireland 3 10 11 3 10 11 0 0 0 0 0 0 10 112 119 13 122 130 Irlande 3 3 2 2 3 2 2 2 2 2 5 2 2 5 2 2 3 2 2 3
Italy 877 877 877 560 560 560 166 166 166 152 152 152 9,659 9,659 9,659 10,536 10,536 10,536 Italie 3 2 3 3 2 3 3 2 2 2 2 5 5 5 5 5 3 3 3 3
Latvia 4,320 4,250 4,250 1,903 2,000 2,000 1,882 1,750 1,750 535 500 500 2,335 2,300 2,300 6,655 6,550 6,550 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 82 171 163 18 37 35 64 134 128 0 0 0 22 47 43 104 218 206 Luxembourg 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Montenegro 132 66 99 101 50 76 26 13 19 5 3 4 44 22 33 176 88 132 Monténégro 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Netherlands 216 250 250 60 80 80 147 160 160 9 10 10 1,900 1,900 1,900 2,116 2,150 2,150 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
North Macedonia 74 74 74 73 73 73 0 0 0 1 1 1 584 584 584 658 658 658 Macédoine du Nord 3 2 3 3 2 3 3 2 2 2 2 5 5 2 5 5 2 3 3 3
Poland 7,254 7,740 8,250 2,747 2,800 2,900 4,468 4,900 5,300 40 40 50 2,416 2,450 2,500 9,670 10,190 10,750 Pologne 3 3 3 3 2 2 2 3 3 3 2 2 2 2 2 2 3 3 3 3
Portugal 7,830 8,000 8,000 220 200 180 7,410 7,600 7,620 200 200 200 1,196 1,100 1,150 9,026 9,100 9,150 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 1,410 1,425 1,440 988 995 998 294 300 310 128 130 132 6,312 6,400 6,550 7,722 7,825 7,990 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 3,148 3,260 3,410 1,316 1,400 1,500 1,828 1,850 1,900 5 10 10 265 275 275 3,413 3,535 3,685 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 833 938 881 348 400 400 450 490 440 35 48 41 952 950 950 1,785 1,888 1,831 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 7,045 7,239 7,326 964 965 965 5,942 6,074 6,150 139 199 211 1,132 1,132 1,132 8,177 8,371 8,458 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 6,450 6,550 6,650 200 200 200 6,100 6,200 6,300 150 150 150 2,700 2,800 2,800 9,150 9,350 9,450 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 404 421 436 229 240 250 174 180 185 1 1 1 1,059 1,100 1,150 1,463 1,521 1,586 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 8,753 8,865 8,865 3,460 3,500 3,500 5,225 5,300 5,300 68 65 65 2,640 3,100 3,100 11,393 11,965 11,965 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 113 113 113 63 63 63 2 2 2 48 48 48 613 613 613 726 726 726 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 76,532 78,080 79,454 24,088 24,777 25,199 50,273 50,901 51,811 2,171 2,402 2,444 81,868 83,074 84,330 158,401 161,155 163,783 Total Europe
Armenia 0 0 0 0 0 0 0 0 0 0 0 0 1,546 1,546 1,546 1,546 1,546 1,546 Arménie 3 2 3 3 2 3 3 2 2 2 2 5 5 5 5 5 3 3 3 3
Moldova 44 44 44 30 30 30 0 0 0 14 14 14 1,217 1,217 1,217 1,261 1,261 1,261 Moldova 3 2 3 3 2 3 3 2 2 2 2 5 5 5 5 5 3 3 3 3
Russia 40,880 42,511 44,965 14,886 15,630 16,724 15,665 16,449 17,600 10,329 10,433 10,641 4,357 4,401 4,489 45,237 46,912 49,454 Russie 3 3 2 2 3 2 2 2 2 2 3 2 2 3 2 2 3 2 2 3
Total EECCA 40,925 42,556 45,010 14,916 15,660 16,754 15,665 16,449 17,600 10,343 10,447 10,655 7,120 7,163 7,251 48,044 49,719 52,261 Total EOCAC
Canada 22,768 21,654 21,654 12,581 11,867 11,867 8,474 8,073 8,073 1,713 1,713 1,713 946 946 946 23,714 22,599 22,599 Canada 3 3 2 2 3 2 2 2 2 2 2 2 2 2 2 2 3 2 2 3
United States 76,151 83,827 84,502 32,250 39,903 40,567 42,264 42,284 42,294 1,638 1,639 1,640 34,180 34,214 34,232 110,332 118,041 118,734 Etats-Unis 3 2 3 3 2 2 2 2 3 3 2 2 2 2 2 2 2 3 3 3
Total North America 98,920 105,481 106,155 44,831 51,771 52,435 50,738 50,358 50,368 3,351 3,352 3,353 35,126 35,160 35,178 134,046 140,640 141,333 Total Amérique du Nord
a Pulpwood, round and split, as well as chips and particles produced directly a Bois de trituration, rondins et quartiers, ainse que plaquettes et particules fabriquées
therefrom and used as pulpwood directement à partir des rondins et quartiers et utilisées comme bois de trituration
b Pitprops, poles, piling, posts etc. b Bois de mine, poteaux, pilotis, piquets etc.
c Including chips and particles produced from wood in the rough and c Y compris plaquettes et particules fabriquées à partir du bois brut et utilisées
used for energy purposes à des fins energétiques
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 10

TABLE 10
SOFTWOOD SAWLOGS GRUMES DE SCIAGES DES CONIFERES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption a
Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 16,525 17,280 17,550 8,229 9,410 9,500 8,705 8,320 8,500 409 450 450 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 1,459 1,433 1,469 1,417 1,390 1,420 57 60 65 15 17 16 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Cyprus 2 2 2 2 2 2 0 0 0 0 0 0 Chypre 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 9,100 8,655 8,790 20,286 12,716 9,942 555 545 560 11,741 4,606 1,712 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 3,436 3,470 3,470 3,259 3,100 3,100 259 450 450 82 80 80 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 21,577 24,602 24,339 21,593 24,690 24,512 322 203 118 338 291 291 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 11,019 12,370 11,400 11,669 13,000 12,000 184 232 300 834 862 900 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 43,600 42,000 43,000 45,700 46,500 45,000 3,900 3,500 4,000 6,000 8,000 6,000 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 169 159 159 169 159 159 0 0 0 0 0 0 Hongrie 2 2 2 2 2 2 2 ... ... ... ... ... ... 2
Ireland 2,397 2,525 2,686 2,347 2,475 2,636 300 320 320 250 270 270 Irlande 3 3 2 2 5 2 2 2 2 2 2 2 2 3
Italy 2,792 2,792 2,792 2,792 2,792 2,792 0 0 0 0 0 0 Italie 3 2 3 3 2 5 5 ... ... ... ... ... ... 3
Latvia 6,183 6,030 6,030 5,476 5,400 5,400 897 850 850 190 220 220 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 336 324 324 63 51 51 524 524 524 251 251 251 Luxembourg 3 2 3 3 2 2 2 2 5 5 2 5 5 3
Montenegro 148 74 111 148 74 111 0 0 0 0 0 0 Monténégro 2 2 2 2 2 2 2 ... ... ... ... ... ... 2
Netherlands 134 188 188 154 180 180 65 83 83 85 75 75 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
North Macedonia 41 41 41 41 41 41 0 0 0 0 0 0 Macédoine du Nord 3 2 3 3 2 5 5 ... ... ... ... ... ... 3
Poland 13,685 14,000 14,200 14,167 14,400 14,500 1,227 1,250 1,300 1,709 1,650 1,600 Pologne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Portugal 2,099 1,986 1,915 1,696 1,866 1,800 428 150 140 25 30 25 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 246 254 261 229 235 240 20 22 24 3 3 3 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 2,727 3,200 3,250 2,598 2,700 2,750 898 900 900 769 400 400 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 1,467 1,260 1,300 1,624 1,200 1,300 367 350 320 523 290 320 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 3,245 3,342 3,634 3,150 3,276 3,473 215 226 381 121 160 220 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 37,054 38,279 37,479 37,000 38,200 37,400 718 743 743 664 664 664 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 1,808 1,930 1,995 2,093 2,200 2,250 55 50 55 340 320 310 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 7,424 7,490 7,490 7,429 7,500 7,500 15 10 10 20 20 20 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 6,051 6,634 6,634 5,829 6,412 6,412 330 330 330 108 108 108 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 194,723 200,321 200,509 199,160 199,969 194,471 20,042 19,119 19,973 24,478 18,767 13,935 Total Europe
Moldova 1 1 1 1 1 1 0 0 0 0 0 0 Moldova 3 2 3 3 2 5 5 ... ... ... ... ... ... 3
Russia 108,143 109,224 108,110 120,439 121,644 115,562 0 0 0 12,297 12,420 7,452 Russie 3 3 2 2 3 2 2 2 2 2 2 2 2 3
Total EECCA 108,144 109,225 108,111 120,440 121,645 115,563 0 0 0 12,297 12,420 7,452 Total EOCAC
Canada 99,569 94,455 93,946 103,717 100,117 100,117 2,682 2,525 2,612 6,830 8,187 8,783 Canada 3 3 2 2 3 2 2 2 2 2 2 2 2 3
United States 139,741 144,640 143,529 147,988 151,442 153,962 285 302 320 8,531 7,104 10,752 Etats-Unis 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total North America 239,311 239,094 237,475 251,705 251,559 254,079 2,967 2,826 2,931 15,361 15,291 19,535 Total Amérique du Nord
a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 11

TABLE 11
HARDWOOD SAWLOGS (total) GRUMES DE SCIAGES DES NON-CONIFERES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption a
Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 395 452 460 275 322 330 160 180 180 40 50 50 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 614 630 630 614 626 630 9 12 10 9 8 10 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 332 320 323 392 391 383 120 120 122 180 191 182 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 893 840 840 875 800 800 42 65 65 25 25 25 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 988 1,306 1,167 886 1,167 1,167 103 139 1 0 0 0 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 3,384 3,499 3,830 4,296 4,400 4,700 110 119 130 1,022 1,020 1,000 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 1,863 1,850 1,790 2,513 2,400 2,300 150 150 140 800 700 650 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 986 1,098 1,098 986 1,098 1,098 0 0 0 0 0 0 Hongrie 2 2 2 2 2 2 2 ... ... ... ... ... ... 2
Ireland 2 8 9 3 10 11 0 0 0 1 2 2 Irlande 3 3 2 2 5 2 2 2 2 2 2 2 2 3
Italy 560 560 560 560 560 560 0 0 0 0 0 0 Italie 3 2 3 3 2 5 5 ... ... ... ... ... ... 3
Latvia 1,674 1,725 1,725 1,903 2,000 2,000 35 25 25 265 300 300 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 174 193 191 18 37 35 171 171 171 15 15 15 Luxembourg 3 2 3 3 2 2 2 2 5 5 2 5 5 3
Montenegro 101 50 76 101 50 76 0 0 0 0 0 0 Monténégro 2 2 2 2 2 2 2 ... ... ... ... ... ... 2
Netherlands 87 115 115 60 80 80 82 90 90 55 55 55 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
North Macedonia 73 73 73 73 73 73 0 0 0 0 0 0 Macédoine du Nord 3 2 3 3 2 5 5 ... ... ... ... ... ... 3
Poland 2,677 2,730 2,830 2,747 2,800 2,900 80 80 80 150 150 150 Pologne 3 3 3 3 2 2 2 5 5 5 5 5 5 3
Portugal 885 320 290 220 200 180 696 150 140 30 30 30 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 973 977 972 988 995 998 25 27 29 40 45 55 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 1,387 1,500 1,600 1,316 1,400 1,500 381 400 400 310 300 300 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 235 263 243 348 400 400 32 43 43 145 180 200 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 1,001 1,023 1,303 964 965 965 96 102 382 59 44 44 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 216 223 223 200 200 200 23 23 23 7 0 0 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 114 125 135 229 240 250 50 45 40 165 160 155 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 3,486 3,515 3,515 3,460 3,500 3,500 45 30 30 19 15 15 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 120 120 120 63 63 63 66 66 66 9 9 9 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 23,219 23,516 24,118 24,088 24,777 25,199 2,476 2,038 2,167 3,345 3,299 3,247 Total Europe
Moldova 30 30 30 30 30 30 0 0 0 0 0 0 Moldova 3 2 3 3 2 5 5 ... ... ... ... ... ... 3
Russia 12,486 13,182 14,227 14,886 15,630 16,724 0 0 0 2,400 2,448 2,497 Russie 3 3 2 2 3 2 2 2 2 2 2 2 2 3
Total EECCA 12,516 13,212 14,257 14,916 15,660 16,754 0 0 0 2,400 2,448 2,497 Total EOCAC
Canada 13,545 12,981 12,948 12,581 11,867 11,867 1,018 1,190 1,154 54 76 73 Canada 3 3 2 2 3 2 2 2 2 2 2 2 2 3
United States 30,257 37,792 38,330 32,250 39,903 40,567 154 159 165 2,147 2,271 2,402 Etats-Unis 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total North America 43,802 50,773 51,278 44,831 51,771 52,435 1,172 1,349 1,318 2,201 2,347 2,475 Total Amérique du Nord
a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 11a

TABLE 11a
HARDWOOD LOGS (temperate) GRUMES DE NON-CONIFERES (zone tempérée)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption a
Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 395 452 460 275 322 330 160 180 180 40 50 50 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 614 630 630 614 626 630 9 12 10 9 8 10 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 332 320 323 392 391 383 120 120 122 180 191 182 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 893 840 840 875 800 800 42 65 65 25 25 25 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 988 1,306 1,167 886 1,167 1,167 103 139 1 0 0 0 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 3,351 3,461 3,793 4,296 4,400 4,700 74 78 90 1,019 1,017 997 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 1,857 1,846 1,784 2,513 2,400 2,300 142 141 130 798 695 646 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 986 1,098 1,098 986 1,098 1,098 0 0 0 0 0 0 Hongrie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Ireland 2 8 9 3 10 11 0 0 0 1 2 2 Irlande 3 3 2 2 5 2 2 2 2 2 2 2 2 3
Italy 560 560 560 560 560 560 0 0 0 0 0 0 Italie 3 2 3 3 2 5 5 2 2 2 2 2 2 3
Latvia 1,674 1,725 1,725 1,903 2,000 2,000 35 25 25 265 300 300 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 159 178 176 18 37 35 156 156 156 15 15 15 Luxembourg 3 2 3 3 2 2 2 2 3 3 2 3 3 3
Montenegro 101 50 76 101 50 76 0 0 0 0 0 0 Monténégro 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Netherlands 83 102 102 60 80 80 68 70 70 45 48 48 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
North Macedonia 73 73 73 73 73 73 0 0 0 0 0 0 Macédoine du Nord 3 2 3 3 2 5 5 2 2 2 2 2 2 3
Poland 2,675 2,728 2,828 2,747 2,800 2,900 78 78 78 150 150 150 Pologne 3 3 3 3 2 2 2 3 3 3 3 3 3 3
Portugal 698 246 221 220 200 180 504 70 65 25 24 24 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 972 976 971 988 995 998 24 26 28 40 45 55 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 1,387 1,500 1,600 1,316 1,400 1,500 381 400 400 310 300 300 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 235 262 242 348 400 400 32 42 42 145 180 200 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 994 1,017 1,296 964 965 965 89 95 374 59 43 43 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 216 223 223 200 200 200 23 23 23 7 0 0 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 114 125 135 229 240 250 50 45 40 165 160 155 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 3,486 3,515 3,515 3,460 3,500 3,500 45 30 30 19 15 15 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 96 96 96 63 63 63 42 42 42 9 9 9 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 22,940 23,338 23,943 24,088 24,777 25,199 2,176 1,837 1,971 3,324 3,276 3,226 Total Europe
Moldova 30 30 30 30 30 30 0 0 0 0 0 0 Moldova 3 2 3 3 2 5 5 2 2 2 2 2 2 3
Russia 12,486 13,182 14,227 14,886 15,630 16,724 0 0 0 2,400 2,448 2,497 Russie 3 3 2 2 3 2 2 2 2 2 2 2 2 3
Total EECCA 12,516 13,212 14,257 14,916 15,660 16,754 0 0 0 2,400 2,448 2,497 Total EOCAC
Canada 13,546 12,984 12,948 12,581 11,867 11,867 1,018 1,190 1,154 53 73 73 Canada 3 3 2 2 3 2 2 2 2 2 2 2 2 3
United States 30,256 37,791 38,329 32,250 39,903 40,567 152 158 163 2,146 2,270 2,401 Etats-Unis 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total North America 43,802 50,775 51,277 44,831 51,771 52,435 1,170 1,347 1,317 2,199 2,343 2,474 Total Amérique du Nord
a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 11b

TABLE 11b
HARDWOOD LOGS (tropical) GRUMES DE NON-CONIFERES (tropicale)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Net Trade
Country Commerce Net Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
France -33 -38 -37 36 42 40 3 3 3 France 2 2 2 2 2 2 2 2 2 2 2
Germany -6 -4 -6 8 9 10 2 5 4 Allemagne 2 2 2 2 2 2 2 2 2 2 2
Luxembourg -15 -15 -15 15 15 15 0 0 0 Luxembourg 3 2 3 3 2 5 5 2 5 5 3
Netherlands -4 -13 -13 14 20 20 10 7 7 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2
Poland -1 -2 -2 2 2 2 0 0 0 Pologne 2 2 2 2 2 2 2 2 2 2 2
Portugal -187 -74 -69 192 80 75 5 6 6 Portugal 2 2 2 2 2 2 2 2 2 2 2
Serbia -1 -1 -1 1 1 1 0 0 0 Serbie 2 2 2 2 2 2 2 2 2 2 2
Slovenia -1 -1 -1 1 1 1 0 0 0 Slovénie 2 2 2 2 2 2 2 2 2 2 2
Spain -7 -6 -7 7 8 8 0 1 1 Espagne 2 2 2 2 2 2 2 2 2 2 2
United Kingdom -24 -24 -24 24 24 24 0 0 0 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2
Total Europe -279 -178 -175 300 201 196 20 23 21 Total Europe
Canada 1 3 0 0 0 0 1 3 0 Canada 2 2 2 2 2 2 2 2 2 2 2
United States -1 -1 -1 2 2 2 1 1 1 Etats-Unis 2 2 2 2 2 2 2 2 2 2 2
Total North America 0 2 -1 2 2 2 2 4 1 Total Amérique du Nord
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 12

TABLE 12
PULPWOOD (total) BOIS DE TRITURATION (total)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption a
Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 15,114 15,232 15,570 10,110 10,642 10,980 5,798 5,730 5,630 794 1,140 1,040 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 928 911 927 881 874 891 99 87 87 51 50 51 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Cyprus 8 9 9 8 8 8 1 1 1 0 0 0 Chypre 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 6,297 6,778 6,889 10,087 9,823 9,900 482 558 576 4,272 3,603 3,587 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 4,050 3,280 3,280 6,316 5,850 5,850 459 270 270 2,724 2,840 2,840 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 53,097 56,668 56,727 43,221 46,410 47,366 11,047 11,200 10,303 1,171 942 942 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 23,342 23,959 24,580 22,195 22,900 23,300 3,083 3,093 3,280 1,936 2,034 2,000 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 27,601 26,250 27,690 29,618 30,900 31,300 3,352 2,650 3,140 5,368 7,300 6,750 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 1,766 1,936 1,936 1,707 1,843 1,843 134 223 223 75 130 130 Hongrie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Ireland 1,961 1,869 1,974 2,082 2,044 2,177 129 200 203 249 375 406 Irlande 3 3 2 2 3 2 2 2 2 2 2 2 2 3
Italy 5,567 5,567 5,567 4,518 4,518 4,518 1,154 1,154 1,154 105 105 105 Italie 3 2 3 3 2 3 3 2 3 3 2 3 3 3
Latvia 4,140 3,650 3,650 6,387 6,050 6,050 2,019 1,800 1,800 4,266 4,200 4,200 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 695 757 751 625 687 681 189 189 189 119 119 119 Luxembourg 3 2 3 3 2 3 3 2 3 3 2 3 3 3
Malta 2 2 2 0 0 0 2 2 2 0 0 0 Malte 3 3 2 2 3 2 2 2 2 2 2 2 2 3
Montenegro 239 218 238 238 217 237 1 1 1 0 0 0 Monténégro 3 2 3 3 2 3 3 2 3 3 2 3 3 3
Netherlands 1,145 1,120 1,120 1,355 1,380 1,390 734 730 730 944 990 1,000 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Poland 29,967 30,985 31,835 28,035 29,200 29,800 4,609 4,460 4,410 2,677 2,675 2,375 Pologne 3 3 3 3 2 2 2 3 3 3 3 3 3 3
Portugal 13,533 13,750 13,782 11,462 11,900 11,870 2,363 2,280 2,382 292 430 470 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 909 947 976 892 931 958 21 20 22 4 4 4 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 3,472 3,800 4,000 4,119 4,200 4,350 1,006 1,000 1,050 1,654 1,400 1,400 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 834 910 880 1,877 1,870 1,920 494 700 570 1,536 1,660 1,610 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 11,099 11,684 12,052 12,663 13,217 13,651 557 582 603 2,121 2,116 2,202 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 59,772 59,734 59,784 52,100 53,300 53,300 8,194 7,127 7,127 522 693 643 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 1,692 1,713 1,738 1,254 1,280 1,310 631 623 613 193 190 185 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 13,596 14,027 14,027 13,397 13,600 13,600 202 455 455 3 28 28 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 5,136 5,482 5,482 4,670 4,974 4,974 578 578 578 112 71 71 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 285,963 291,237 295,466 269,817 278,619 282,225 47,336 45,712 45,399 31,190 33,094 32,158 Total Europe
Moldova 2 2 2 1 1 1 1 1 1 0 0 0 Moldova 3 2 3 3 2 3 3 2 3 3 2 3 3 3
Russia 58,244 60,273 64,791 73,232 75,562 76,307 104 104 104 15,092 15,393 11,620 Russie 3 3 2 2 3 2 2 2 2 2 2 2 2 3
Total EECCA 58,246 60,275 64,793 73,233 75,563 76,308 105 105 105 15,092 15,393 11,620 Total EOCAC
Canada 34,428 30,819 31,865 31,073 27,434 27,434 4,000 3,969 4,975 645 584 545 Canada 3 3 2 2 3 2 2 2 2 2 2 2 2 3
United States 228,406 228,659 234,933 233,223 234,181 234,974 190 206 201 5,007 5,728 243 Etats-Unis 3 2 3 3 2 2 2 2 3 3 2 3 3 3
Total North America 262,835 259,479 266,798 264,296 261,615 262,408 4,191 4,175 5,177 5,652 6,312 788 Total Amérique du Nord
Includes wood residues, chips and particles for all purposes Comprend les dechets de bois, plaquettes et particules pour toute utilisation
a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 12a

TABLE 12a
PULPWOOD LOGS (ROUND AND SPLIT) BOIS DE TRITURATION (RONDINS ET QUARTIERS)
Softwood Conifères
1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
Apparent Consumption a
Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 4,999 4,750 4,840 2,358 2,510 2,600 2,749 2,500 2,400 108 260 160 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 622 625 623 559 567 570 77 68 65 14 10 12 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 4,527 5,000 5,050 8,036 7,799 7,798 263 255 268 3,772 3,054 3,016 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 528 475 475 1,148 1,075 1,075 21 40 40 641 640 640 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 21,957 24,401 24,237 21,635 23,931 24,294 1,205 1,238 711 883 768 768 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 4,622 4,724 4,700 4,479 4,600 4,600 506 561 600 363 438 500 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 10,290 7,600 9,000 10,590 10,600 11,000 2,200 1,500 2,000 2,500 4,500 4,000 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 596 542 542 596 542 542 0 0 0 0 0 0 Hongrie 2 2 2 2 2 2 2 ... ... ... ... ... ... 2
Ireland 1,117 752 801 1,197 877 934 30 50 53 110 175 186 Irlande 3 3 2 2 5 2 2 2 2 2 2 2 2 3
Italy 853 853 853 853 853 853 0 0 0 0 0 0 Italie 3 2 3 3 2 5 5 ... ... ... ... ... ... 3
Latvia 1,814 1,750 1,750 2,241 2,100 2,100 306 350 350 733 700 700 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 40 32 32 40 32 32 0 0 0 0 0 0 Luxembourg 2 2 2 2 2 2 2 ... ... ... ... ... ... 2
Montenegro 17 9 23 17 9 23 0 0 0 0 0 0 Monténégro 2 2 2 2 2 2 2 ... ... ... ... ... ... 2
Netherlands 142 140 140 255 260 260 82 80 80 195 200 200 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Poland 13,036 13,600 13,950 13,886 14,500 14,600 1,185 1,200 1,250 2,035 2,100 1,900 Pologne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Portugal 2,205 2,350 2,272 2,130 2,300 2,230 81 80 82 6 30 40 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 94 96 98 94 96 98 0 0 0 0 0 0 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 702 900 950 1,157 1,200 1,250 575 500 500 1,030 800 800 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 278 310 330 346 230 280 230 310 280 298 230 230 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 2,931 2,905 2,952 3,489 3,665 3,751 95 100 102 653 860 901 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 29,055 29,293 29,393 25,400 26,100 26,200 3,931 3,469 3,469 276 276 276 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 238 240 245 308 310 315 20 20 20 90 90 90 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 7,224 7,352 7,352 7,222 7,350 7,350 3 3 3 1 1 1 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 1,885 1,885 1,885 1,630 1,630 1,630 283 283 283 29 29 29 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 109,772 110,583 112,492 109,665 113,137 114,386 13,842 12,607 12,556 13,736 15,161 14,449 Total Europe
Russia 29,389 29,682 32,041 33,289 33,622 31,941 100 100 100 4,000 4,040 0 Russie 3 3 2 2 3 2 2 2 2 2 2 2 2 3
Total EECCA 29,389 29,682 32,041 33,289 33,622 31,941 100 100 100 4,000 4,040 0 Total EOCAC
Canada 4,432 3,984 4,267 3,804 3,470 3,470 645 518 800 17 4 3 Canada 3 3 2 2 3 2 2 2 2 2 2 2 2 3
United States 133,463 133,526 133,557 133,458 133,521 133,552 5 5 5 0 0 0 Etats-Unis 3 2 3 3 2 2 2 2 5 5 2 5 5 3
Total North America 137,895 137,511 137,825 137,262 136,992 137,023 650 523 805 17 4 3 Total Amérique du Nord
a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 12b

TABLE 12b
PULPWOOD LOGS (ROUND AND SPLIT) BOIS DE TRITURATION (RONDINS ET QUARTIERS)
Hardwood Non-conifères
1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
Apparent Consumption a
Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 1,210 1,382 1,380 600 682 680 680 780 780 70 80 80 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 61 62 64 55 57 56 13 10 12 7 5 4 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 276 293 306 323 334 352 17 18 18 64 59 64 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 507 205 205 1,168 1,075 1,075 172 130 130 833 1,000 1,000 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 11,986 11,834 11,801 7,416 7,158 7,542 4,637 4,709 4,292 67 32 32 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 2,509 2,546 2,480 3,314 3,300 3,200 67 66 80 872 820 800 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 2,663 2,650 2,690 2,913 2,800 2,800 150 150 140 400 300 250 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 306 377 377 306 377 377 0 0 0 0 0 0 Hongrie 2 2 2 2 2 2 2 ... ... ... ... ... ... 2
Italy 166 166 166 166 166 166 0 0 0 0 0 0 Italie 3 2 3 3 2 5 5 ... ... ... ... ... ... 3
Latvia 600 400 400 1,882 1,750 1,750 461 350 350 1,743 1,700 1,700 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 64 134 128 64 134 128 0 0 0 0 0 0 Luxembourg 2 2 2 2 2 2 2 ... ... ... ... ... ... 2
Montenegro 26 13 19 26 13 19 0 0 0 0 0 0 Monténégro 2 2 2 2 2 2 2 ... ... ... ... ... ... 2
Netherlands 65 50 50 147 160 160 21 20 20 103 130 130 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Poland 4,953 5,385 5,785 4,468 4,900 5,300 560 560 560 75 75 75 Pologne 3 3 3 3 2 2 2 5 5 5 5 5 5 3
Portugal 8,585 8,300 8,350 7,410 7,600 7,620 1,353 1,000 1,050 178 300 320 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 293 299 309 294 300 310 0 0 0 1 1 1 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 1,788 1,900 2,000 1,828 1,850 1,900 70 150 200 110 100 100 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 146 140 100 450 490 440 88 130 90 392 480 430 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 5,267 5,658 5,658 5,942 6,074 6,150 285 291 295 960 707 787 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 8,641 8,441 8,541 6,100 6,200 6,300 2,558 2,258 2,258 17 17 17 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 137 143 148 174 180 185 3 3 3 40 40 40 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 5,225 5,300 5,300 5,225 5,300 5,300 2 2 2 2 2 2 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 17 17 17 2 2 2 16 16 16 0 0 0 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 55,490 55,695 56,274 50,273 50,901 51,811 11,152 10,643 10,295 5,935 5,849 5,832 Total Europe
Russia 8,465 9,105 10,109 15,665 16,449 17,600 0 0 0 7,200 7,344 7,491 Russie 3 3 2 2 3 2 2 2 2 2 2 2 2 3
Total EECCA 8,465 9,105 10,109 15,665 16,449 17,600 0 0 0 7,200 7,344 7,491 Total EOCAC
Canada 8,112 7,871 7,870 8,474 8,073 8,073 31 28 19 393 231 223 Canada 3 3 2 2 3 2 2 2 2 2 2 2 2 3
United States 42,217 42,237 42,247 42,264 42,284 42,294 42 42 42 89 89 89 Etats-Unis 3 2 3 3 2 2 2 2 5 5 2 5 5 3
Total North America 50,329 50,108 50,117 50,738 50,358 50,368 73 70 61 482 320 312 Total Amérique du Nord
a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 12c

TABLE 12c
WOOD RESIDUES, CHIPS AND PARTICLES DECHETS DE BOIS, PLAQUETTES ET PARTICULES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 8,904 9,100 9,350 7,152 7,450 7,700 2,369 2,450 2,450 616 800 800 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 245 224 240 267 250 265 9 9 10 30 35 35 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Cyprus 8 9 9 8 8 8 1 1 1 0 0 0 Chypre 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 1,494 1,485 1,533 1,728 1,690 1,750 202 285 290 436 490 507 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 3,015 2,600 2,600 4,000 3,700 3,700 266 100 100 1,251 1,200 1,200 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 19,154 20,432 20,689 14,170 15,321 15,530 5,205 5,254 5,301 221 142 142 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 16,211 16,690 17,400 14,402 15,000 15,500 2,510 2,465 2,600 701 776 700 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 14,649 16,000 16,000 16,115 17,500 17,500 1,002 1,000 1,000 2,468 2,500 2,500 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 864 1,017 1,017 805 924 924 134 223 223 75 130 130 Hongrie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Ireland 844 1,117 1,173 885 1,167 1,243 99 150 150 139 200 220 Irlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Italy 4,549 4,549 4,549 3,500 3,500 3,500 1,154 1,154 1,154 105 105 105 Italie 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Latvia 1,726 1,500 1,500 2,264 2,200 2,200 1,252 1,100 1,100 1,790 1,800 1,800 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 591 591 591 521 521 521 189 189 189 119 119 119 Luxembourg 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Malta 2 2 2 0 0 0 2 2 2 0 0 0 Malte 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Montenegro 196 196 196 195 195 195 1 1 1 0 0 0 Monténégro 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Netherlands 938 930 930 953 960 970 631 630 630 646 660 670 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Poland 11,977 12,000 12,100 9,680 9,800 9,900 2,864 2,700 2,600 567 500 400 Pologne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Portugal 2,742 3,100 3,160 1,921 2,000 2,020 929 1,200 1,250 108 100 110 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 522 552 569 504 535 550 21 20 22 3 3 3 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 982 1,000 1,050 1,135 1,150 1,200 361 350 350 514 500 500 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 409 460 450 1,080 1,150 1,200 176 260 200 847 950 950 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 2,902 3,120 3,442 3,233 3,478 3,750 178 191 206 508 548 514 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 22,076 22,000 21,850 20,600 21,000 20,800 1,705 1,400 1,400 229 400 350 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 1,317 1,330 1,345 772 790 810 608 600 590 63 60 55 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 1,147 1,375 1,375 950 950 950 197 450 450 0 25 25 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 3,234 3,580 3,580 3,038 3,342 3,342 279 279 279 83 41 41 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 120,700 124,959 126,700 109,879 114,581 116,029 22,341 22,462 22,548 11,520 12,084 11,876 Total Europe
Moldova 2 2 2 1 1 1 1 1 1 0 0 0 Moldova 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Russia 20,390 21,487 22,641 24,278 25,492 26,766 4 4 4 3,892 4,009 4,129 Russie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total EECCA 20,392 21,489 22,643 24,279 25,493 26,767 5 5 5 3,892 4,009 4,129 Total EOCAC
Canada 21,885 18,964 19,728 18,795 15,890 15,890 3,324 3,423 4,156 235 349 318 Canada 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United States 52,726 52,896 59,128 57,501 58,376 59,128 143 159 154 4,918 5,639 154 Etats-Unis 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total North America 74,611 71,860 78,856 76,296 74,266 75,018 3,467 3,581 4,310 5,153 5,988 472 Total Amérique du Nord
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 13

TABLE 13
WOOD PELLETS GRANULES DE BOIS
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 mt
Apparent Consumption
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 1,074 1,135 1,250 1,540 1,650 1,800 384 425 390 849 940 940 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 90 94 94 150 162 165 1 2 3 61 70 74 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Cyprus 4 4 4 0 0 0 4 4 4 0 0 0 Chypre 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 180 182 198 477 490 502 32 34 35 329 342 339 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 572 115 115 1,630 1,400 1,400 12 15 15 1,070 1,300 1,300 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 427 395 420 322 345 365 112 90 90 7 40 35 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 2,075 2,101 2,200 1,760 1,800 1,850 412 410 450 97 109 100 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 2,590 2,880 3,225 3,100 3,300 3,600 291 325 350 801 745 725 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 77 79 79 16 19 19 84 82 82 23 22 22 Hongrie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Ireland 45 65 65 38 55 55 38 45 45 30 35 35 Irlande 3 3 2 2 5 2 2 5 2 2 5 2 2 3
Italy 2,194 2,194 2,194 400 400 400 1,802 1,802 1,802 7 7 7 Italie 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Latvia 325 300 300 2,264 2,200 2,200 425 400 400 2,364 2,300 2,300 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 47 47 47 63 63 63 11 11 11 27 27 27 Luxembourg 3 3 3 3 5 5 5 2 5 5 2 5 5 3
Malta 1 0 0 0 0 0 1 0 0 0 0 0 Malte 3 3 2 2 5 2 2 5 2 2 5 2 2 3
Montenegro 53 47 47 89 82 82 1 1 1 37 37 37 Monténégro 3 3 3 3 2 5 5 5 5 5 5 5 5 3
Netherlands 2,442 2,609 3,180 300 300 300 2,297 2,429 3,000 155 120 120 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
North Macedonia 91 91 91 0 0 0 91 91 91 0 0 0 Macédoine du Nord 3 3 3 3 5 5 5 2 5 5 2 5 5 3
Poland 818 880 900 1,353 1,450 1,500 176 180 200 711 750 800 Pologne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Portugal 255 204 245 859 900 950 2 4 5 606 700 710 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 406 445 450 445 455 460 40 45 50 79 55 60 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 20 20 20 206 200 200 43 45 45 229 225 225 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 206 165 175 148 160 165 257 215 230 198 210 220 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 507 696 798 531 745 863 65 76 80 89 125 145 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 1,642 1,940 1,940 1,660 2,000 2,000 119 140 140 138 200 200 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 347 350 355 270 275 285 78 75 70 0 0 0 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 6 6 6 20 20 20 0 0 0 14 14 14 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 9,345 9,345 9,345 271 271 271 9,078 9,078 9,078 4 4 4 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 25,840 26,388 27,743 17,912 18,743 19,516 15,854 16,023 16,666 7,925 8,378 8,439 Total Europe
Moldova 32 32 32 31 31 31 2 2 2 0 0 0 Moldova 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Russia 509 470 540 2,800 3,220 3,703 2 2 2 2,294 2,752 3,165 Russie 3 3 2 2 2 2 2 5 2 2 2 2 2 3
Total EECCA 541 502 573 2,831 3,251 3,734 4 4 4 2,294 2,752 3,165 Total EOCAC
Canada 960 795 536 3,830 4,131 4,131 31 46 54 2,901 3,381 3,649 Canada 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United States 1,360 1,503 1,572 8,412 8,855 9,210 205 227 236 7,257 7,578 7,874 Etats-Unis 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total North America 2,321 2,299 2,108 12,242 12,985 13,341 236 272 290 10,158 10,958 11,523 Total Amérique du Nord
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 14

TABLE 14
Europe: Summary table of market forecasts for 2021 and 2022
Europe: Tableau récapitulatif des prévisions du marché pour 2021 et 2022
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
million m3 (pulp, paper and pellets million m.t. - pâte de bois, papiers et cartons, et granulés en millions de tonnes métriques)
Apparent Consumption
Consommation Apparente Production Imports - Importations Exports - Exportations
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022
actual forecasts actual forecasts actual forecasts actual forecasts
réels prévisions réels prévisions réels prévisions réels prévisions
Sawn softwood 82.76 89.42 90.28 102.87 107.84 109.03 32.51 35.40 34.94 52.63 53.82 53.68 Sciages conifères
Softwood logs a 194.72 200.32 200.51 199.16 199.97 194.47 20.04 19.12 19.97 24.48 18.77 13.94 Grumes de conifères a
Sawn hardwood 10.78 11.34 11.61 10.72 11.25 11.40 4.01 4.25 4.34 3.95 4.17 4.12 Sciages non-conifères
– temperate zone b 10.05 10.62 10.88 10.65 11.19 11.34 3.24 3.49 3.56 3.84 4.06 4.01 – zone tempérée b
– tropical zone b 0.72 0.72 0.73 0.07 0.06 0.06 0.77 0.77 0.78 0.11 0.11 0.11 – zone tropicale b
Hardwood logs a 23.22 23.52 24.12 24.09 24.78 25.20 2.48 2.04 2.17 3.34 3.30 3.25 Grumes de non-conifères a
– temperate zone b 22.94 23.34 23.94 24.09 24.78 25.20 2.18 1.84 1.97 3.32 3.28 3.23 – zone tempérée b
– tropical zone b 0.28 0.18 0.17 0.30 0.20 0.20 0.02 0.02 0.02 – zone tropicale b
Veneer sheets 1.44 1.51 1.53 1.03 1.13 1.13 1.18 1.23 1.26 0.77 0.85 0.86 Feuilles de placage
Plywood 7.44 7.27 7.51 4.39 4.61 4.63 6.77 6.68 6.90 3.72 4.02 4.03 Contreplaqués
Particle board (excluding OSB) 28.83 29.99 30.57 30.22 31.31 31.80 9.16 9.50 9.84 10.55 10.83 11.07 Pann. de particules (sauf OSB)
OSB 5.66 5.74 5.81 5.85 5.69 5.80 3.26 3.29 3.34 3.45 3.24 3.33 OSB
Fibreboard 20.47 20.83 21.46 22.07 22.67 23.15 9.24 9.65 9.86 10.84 11.49 11.55 Panneaux de fibres
– Hardboard 0.52 0.66 0.74 0.38 0.42 0.43 1.38 1.42 1.45 1.25 1.19 1.14 – Durs
– MDF 16.80 17.00 17.48 18.52 19.04 19.43 5.86 6.14 6.25 7.58 8.18 8.20 – MDF
– Other board 3.15 3.17 3.24 3.16 3.22 3.29 2.00 2.08 2.15 2.01 2.13 2.21 – Autres panneaux
Pulpwood a 285.96 291.24 295.47 269.82 278.62 282.23 47.34 45.71 45.40 31.19 33.09 32.16 Bois de trituration a
– Pulp logs 165.26 166.28 168.77 159.94 164.04 166.20 24.99 23.25 22.85 19.67 21.01 20.28 – Bois ronds de trituration
– softwood 109.77 110.58 112.49 109.67 113.14 114.39 13.84 12.61 12.56 13.74 15.16 14.45 – conifères
– hardwood 55.49 55.69 56.27 50.27 50.90 51.81 11.15 10.64 10.30 5.93 5.85 5.83 – non-conifères
– Residues, chips and particles 120.70 124.96 126.70 109.88 114.58 116.03 22.34 22.46 22.55 11.52 12.08 11.88 – Déchets, plaquettes et part.
Wood pulp 40.30 40.64 40.12 36.93 37.91 37.93 17.92 17.74 17.65 14.55 15.02 15.46 Pâte de bois
Paper and paperboard 76.36 76.97 77.32 86.91 89.94 90.19 44.50 44.66 44.77 55.05 57.63 57.65 Papiers et cartons
Wood Pellets 25.84 26.39 27.74 17.91 18.74 19.52 15.85 16.02 16.67 7.93 8.38 8.44 Granulés de bois
a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fourni des données sur le commerce
b Trade figures by zone do not equal the total as some countries cannot provide data for both zones b Les chiffres du commerce par zone ne correspondent pas aux totaux
en raison du fait que certains pays ne peuvent les différencier.
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 15

TABLE 15
North America: Summary table of market forecasts for 2021 and 2022
Amérique du Nord: Tableau récapitulatif des prévisions du marché pour 2021 et 2022
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
million m3 (pulp, paper and pellets million m.t. - pâte de bois, papiers et cartons, et granulés en millions de tonnes métriques)
Apparent Consumption
Consommation Apparente Production Imports - Importations Exports - Exportations
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022
actual forecasts actual forecasts actual forecasts actual forecasts
réels prévisions réels prévisions réels prévisions réels prévisions
Sawn softwood 99.90 108.23 111.04 101.84 106.68 109.76 26.26 26.68 26.58 28.20 25.13 25.30 Sciages conifères
Softwood logs 239.31 239.09 237.48 251.70 251.56 254.08 2.97 2.83 2.93 15.36 15.29 19.53 Grumes de conifères
Sawn hardwood 15.07 15.55 15.76 17.68 17.82 17.86 1.38 1.55 1.65 4.00 3.81 3.76 Sciages non-conifères
– temperate zone 14.93 15.43 15.63 17.68 17.82 17.86 1.20 1.37 1.47 3.95 3.76 3.70 – zone tempérée
– tropical zone 0.13 0.13 0.13 0.00 0.00 0.00 0.19 0.18 0.19 0.05 0.05 0.06 – zone tropicale
Hardwood logs 43.80 50.77 51.28 44.83 51.77 52.43 1.17 1.35 1.32 2.20 2.35 2.47 Grumes de non-conifères
– temperate zone 43.80 50.78 51.28 44.83 51.77 52.43 1.17 1.35 1.32 2.20 2.34 2.47 – zone tempérée
– tropical zone -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 – zone tropicale
Veneer sheets 2.85 2.90 2.96 2.87 2.93 3.01 0.74 0.82 0.84 0.76 0.86 0.88 Feuilles de placage
Plywood 16.41 17.41 17.77 11.17 11.75 12.00 6.31 6.80 6.92 1.07 1.13 1.14 Contreplaqués
Particle board (excluding OSB) 7.25 6.77 6.74 6.41 6.26 6.30 1.95 1.94 1.98 1.12 1.43 1.54 Pann. de particules (sauf OSB)
OSB 20.08 20.76 21.06 20.34 21.24 21.57 5.19 5.58 5.68 5.45 6.07 6.18 OSB
Fibreboard 9.46 9.82 9.83 7.35 7.40 7.40 3.64 3.94 3.95 1.52 1.52 1.52 Panneaux de fibres
– Hardboard 0.27 0.29 0.29 0.30 0.30 0.30 0.30 0.33 0.33 0.33 0.34 0.35 – Durs
– MDF 5.88 6.16 6.18 3.77 3.82 3.82 3.02 3.25 3.25 0.91 0.90 0.89 – MDF
– Other board 3.31 3.36 3.36 3.28 3.28 3.28 0.31 0.36 0.37 0.28 0.28 0.29 – Autres panneaux
Pulpwood 262.83 259.48 266.80 264.30 261.62 262.41 4.19 4.17 5.18 5.65 6.31 0.79 Bois de trituration
– Pulp logs 188.22 187.62 187.94 188.00 187.35 187.39 0.72 0.59 0.87 0.50 0.32 0.32 – Bois ronds de trituration
– softwood 137.89 137.51 137.82 137.26 136.99 137.02 0.65 0.52 0.81 0.02 0.00 0.00 – conifères
– hardwood 50.33 50.11 50.12 50.74 50.36 50.37 0.07 0.07 0.06 0.48 0.32 0.31 – non-conifères
– Residues, chips and particles 74.61 71.86 78.86 76.30 74.27 75.02 3.47 3.58 4.31 5.15 5.99 0.47 – Déchets, plaquettes et part.
Wood pulp 54.46 55.16 55.31 64.98 65.09 64.61 6.30 6.77 7.22 16.82 16.71 16.52 Pâte de bois
Paper and paperboard 68.29 70.84 71.97 74.59 77.14 78.53 10.00 10.31 10.28 16.31 16.60 16.84 Papiers et cartons
Wood pellets 2.32 2.30 2.11 12.24 12.99 13.34 0.24 0.27 0.29 10.16 10.96 11.52 Granulés de bois
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 16

TABLE 16
Russian Federation: Summary table of market forecasts for 2021 and 2022
Fédération de Russie: Tableau récapitulatif des prévisions du marché pour 2021 et 2022
million m3 (pulp, paper and pellets million m.t. - pâte de bois, papiers et cartons, et granulés en millions de tonnes métriques)
Apparent Consumption
Consommation Apparente Production Imports - Importations Exports - Exportations
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022
actual forecasts actual forecasts actual forecasts actual forecasts
réels prévisions réels prévisions réels prévisions réels prévisions
Sawn softwood 9.13 10.15 11.25 38.92 40.09 42.09 0.04 0.04 0.04 29.83 29.98 30.88 Sciages conifères
Softwood logs 108.14 109.22 108.11 120.44 121.64 115.56 0.00 0.00 0.00 12.30 12.42 7.45 Grumes de conifères
Sawn hardwood 1.34 1.38 1.48 2.88 2.97 3.14 0.01 0.01 0.01 1.54 1.59 1.67 Sciages non-conifères
– temperate zone 1.34 1.38 1.47 2.88 2.97 3.14 0.00 0.00 0.00 1.54 1.59 1.67 – zone tempérée
– tropical zone 0.01 0.01 0.01 0.00 0.00 0.00 0.01 0.01 0.01 0.00 0.00 0.00 – zone tropicale
Hardwood logs 12.49 13.18 14.23 14.89 15.63 16.72 0.00 0.00 0.00 2.40 2.45 2.50 Grumes de non-conifères
– temperate zone 12.49 13.18 14.23 14.89 15.63 16.72 0.00 0.00 0.00 2.40 2.45 2.50 – zone tempérée
– tropical zone 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 – zone tropicale
Veneer sheets 1.10 1.44 1.69 1.57 1.96 2.26 0.01 0.01 0.01 0.49 0.54 0.58 Feuilles de placage
Plywood 1.22 1.44 1.51 4.00 4.60 4.83 0.12 0.13 0.13 2.90 3.28 3.45 Contreplaqués
Particle board (excluding OSB) 5.29 6.12 6.50 6.73 7.15 7.53 0.30 0.67 0.79 1.74 1.69 1.83 Pann. de particules (sauf OSB)
OSB 1.61 1.08 1.26 1.63 1.63 1.95 0.35 0.18 0.14 0.36 0.72 0.83 OSB
Fibreboard 2.80 3.42 3.67 3.58 4.30 4.63 0.46 0.59 0.64 1.24 1.48 1.60 Panneaux de fibres
– Hardboard 0.32 0.39 0.35 0.37 0.45 0.40 0.10 0.10 0.10 0.15 0.16 0.15 – Durs
– MDF 2.45 2.99 3.29 3.20 3.84 4.22 0.33 0.46 0.51 1.08 1.31 1.44 – MDF
– Other board 0.03 0.03 0.03 0.01 0.01 0.01 0.03 0.03 0.03 0.01 0.01 0.01 – Autres panneaux
Pulpwood 58.24 60.27 64.79 73.23 75.56 76.31 0.10 0.10 0.10 15.09 15.39 11.62 Bois de trituration
– Pulp logs 37.85 38.79 42.15 48.95 50.07 49.54 0.10 0.10 0.10 11.20 11.38 7.49 – Bois ronds de trituration
– softwood 29.39 29.68 32.04 33.29 33.62 31.94 0.10 0.10 0.10 4.00 4.04 0.00 – conifères
– hardwood 8.47 9.10 10.11 15.67 16.45 17.60 0.00 0.00 0.00 7.20 7.34 7.49 – non-conifères
– Residues, chips and particles 20.39 21.49 22.64 24.28 25.49 26.77 0.00 0.00 0.00 3.89 4.01 4.13 – Déchets, plaquettes et part.
Wood pulp 6.53 6.55 6.68 8.77 8.85 9.03 0.21 0.21 0.22 2.44 2.52 2.57 Pâte de bois
Paper and paperboard 7.12 7.62 7.95 9.53 10.19 10.70 1.19 1.17 1.14 3.60 3.75 3.90 Papiers et cartons
Wood pellets 0.51 0.47 0.54 2.80 3.22 3.70 0.00 0.00 0.00 2.29 2.75 3.17 Granulés de bois
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 17

TABLE 17
Europe: Trade in forest products by main product groups, 1979-81 and 1999-2001 (averages) and 2016 to 2020
Europe: Commerce des produits forestiers, par principaux groupes d'assortiments, en 1979-81 et 1999-2001 (moyennes) et de 2016 à 2020
Quantity - Volume
Unit average Change - Changement
Unité moyenne 2016 2017 2018 2019 2020 2019/2020
1979-81 1999-2001 Volume Percent
EXPORTS EXPORTATIONS
Roundwood a million m3 22.22 48.68 61.29 63.02 70.01 78.70 82.01 3.31 4.2% Bois ronds a
Sawnwood " 24.77 45.99 55.71 58.51 59.86 62.83 56.58 -6.25 -9.9% Sciages
Wood-based panels b " 8.07 21.42 33.67 35.66 35.43 35.67 28.55 -7.12 -20.0% Panneaux à base de bois b
Wood pulp million m.t. 7.31 10.08 14.31 14.81 15.19 16.26 14.55 -1.71 -10.5% Pâte de bois
Paper and paperboard " 18.39 54.06 65.56 66.20 66.45 65.12 55.05 -10.07 -15.5% Papiers et cartons
IMPORTS IMPORTATIONS
Roundwood a million m3 38.83 74.99 85.69 79.61 90.25 89.33 86.83 -2.50 -2.8% Bois ronds a
Sawnwood " 34.26 46.39 40.93 43.88 46.19 47.38 36.52 -10.86 -22.9% Sciages
Wood-based panels b " 10.30 21.38 33.04 35.75 37.21 36.72 28.43 -8.29 -22.6% Panneaux à base de bois b
Wood pulp million m.t. 11.36 17.26 20.73 20.86 21.51 20.02 17.92 -2.10 -10.5% Pâte de bois
Paper and paperboard " 16.78 48.69 56.27 57.08 57.24 55.14 44.50 -10.64 -19.3% Papiers et cartons
NET TRADE c COMMERCE NET c
Roundwood a million m3 -16.61 -26.31 -24.40 -16.59 -20.24 -10.63 -4.82 5.81 54.6% Bois ronds a
Sawnwood " -9.49 -0.40 14.78 14.62 13.68 15.45 20.06 4.61 29.8% Sciages
Wood-based panels b " -2.23 0.04 0.63 -0.10 -1.79 -1.05 0.12 1.17 NA Panneaux à base de bois b
Wood pulp million m.t. -4.05 -7.18 -6.42 -6.05 -6.31 -3.76 -3.37 0.39 10.3% Pâte de bois
Paper and paperboard " 1.61 5.37 9.29 9.12 9.21 9.98 10.55 0.57 5.7% Papiers et cartons
a Including available data on wood residues, chips and particles a Y compris les données disponibles pour les déchets, les plaquettes et les particules
b Not including veneer sheets b Ne sot pas compris les feuilles de placage
c Exports minus imports c Exportations moins importations
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 18

TABLE 18
Europe: Apparent consumption of selected forest products, 1979-81 and 1999-2001 (averages), 2016 to 2020, and forecasts for 2021 and 2022
Europe: Consommation apparente de certains produits forestiers, en 1979-81 et 1999-2001 (moyennes), de 2016 à 2020 et prévisions pour 2021 et 2022
Unit Unité Actual - Réelle Forecasts a
Prévisions a
average
moyenne 2016 2017 2018 2019 2020 2021 2022
1979-81 1999-2001
Sawnwood b million m3 100.66 108.12 107.55 110.81 113.12 110.61 93.53 100.75 101.89 Sciages b
– Softwood " 78.36 89.22 94.52 97.49 99.05 96.33 82.76 89.42 90.28 – Conifères
– Hardwood " 22.30 18.90 13.03 13.32 14.07 14.27 10.78 11.34 11.61 – Non-conifères
Wood-based panels c " 33.70 54.21 71.70 74.21 75.86 74.96 62.39 63.82 65.34 Panneaux à base de bois c
– Plywood " 5.44 6.66 8.43 8.89 9.48 8.91 7.44 7.27 7.51 – Contreplaqués
– Particle board d " 23.82 34.50 36.11 36.97 36.61 36.39 28.83 29.99 30.57 – Panneaux de particules d
– OSB 1.72 6.18 6.63 6.89 6.74 5.66 5.74 5.81 – OSB
– Fibreboard " 4.44 11.00 20.99 21.72 22.88 22.92 20.47 20.83 21.46 – Panneaux de fibres
Paper and paperboard million m.t. 49.17 88.67 88.40 89.94 89.53 86.18 76.36 76.97 77.32 Papiers et cartons
– Newsprint " 6.45 12.04 6.61 6.03 5.76 5.26 4.10 – Papiers journal
– Other paper & paperbrd. " 42.71 76.63 81.79 83.91 83.77 80.92 72.26 – Autres papiers/cartons
Index - Indice 1979-81 = 100
Sawnwood b 100.0 107.4 106.8 110.1 112.4 109.9 92.9 100.1 101.2 Sciages b
– Softwood 100.0 113.9 120.6 124.4 126.4 122.9 105.6 114.1 115.2 – Conifères
– Hardwood 100.0 84.7 58.4 59.7 63.1 64.0 48.3 50.8 52.1 – Non-conifères
Wood-based panels c 100.0 160.9 212.8 220.2 225.1 222.4 185.1 189.4 193.9 Panneaux à base de bois c
– Plywood 100.0 122.5 154.9 163.4 174.2 163.8 136.7 133.6 138.0 – Contreplaqués
– Particle board 100.0 144.8 151.6 155.2 153.7 152.8 121.0 125.9 128.3 – Panneaux de particules
– OSB 100.0 359.2 385.7 400.4 391.9 329.0 333.6 337.7 – OSB
– Fibreboard 100.0 247.9 472.8 489.2 515.3 516.1 461.0 469.1 483.3 – Panneaux de fibres
Paper and paperboard 100.0 180.3 179.8 182.9 182.1 175.3 155.3 156.5 157.2 Papiers et cartons
– Newsprint 100.0 186.6 102.5 93.4 89.2 81.6 63.5 – Papiers journal
– Other paper & paperbrd. 100.0 179.4 191.5 196.5 196.1 189.5 169.2 – Autres papiers/cartons
a The forecasts and 2020 are not a Une comparison entre prévisions (et 2020)
comparable with earlier data as the methodology is different. et les donnes anterieures n'est pas possible à cause de différences des méthodes de calcul.
b Excluding sleepers through 2016 b Non compris les traverses jusqu'à 2016
c Not including veneer sheets c Ne sont pas compris les feuilles de placage
d Average figure for 1979-81 includes OSB d Les chiffres moyennes 1979-81 comprennent le OSB
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 19

TABLE 19
United States: Apparent consumption and imports of selected forest products, 1979-81 and 1999-2001 (averages), 2016 to 2020, and forecasts for 2021 and 2022
Etats-Unis: Consommation apparente et importations de certains produits forestiers, en 1979-81 et 1999-2001 (moyennes), de 2016 à 2020 et prévisions pour 2021 et 2022
Unit Unité Actual - Réelle Forecasts a
Prévisions a
average
moyenne 2016 2017 2018 2019 2020 2021 2022
1979-81 1999-2001
Apparent Consumption – Consommation apparente
Sawnwood b million m3 95.82 119.44 99.75 100.40 101.08 101.75 99.92 102.05 103.10 Sciages b
– Softwood " 79.14 91.63 80.22 81.41 81.94 82.26 86.12 87.85 88.69 – Conifères
– Hardwood " 16.67 27.81 19.53 18.99 19.14 19.49 13.81 14.20 14.41 – Non-conifères
Wood-based panels c " 29.25 54.68 47.17 48.78 47.93 46.78 46.09 47.63 48.43 Panneaux à base de bois c
– Plywood " 6.09 18.74 15.42 15.60 14.87 14.03 14.03 14.64 14.94 – Contreplaqués
– Particle board d " 17.11 10.15 5.04 5.09 5.18 5.40 5.24 5.41 5.52 – Panneaux de particules d
– OSB 17.75 17.08 18.33 18.86 18.67 18.58 19.35 19.72 – OSB
– Fibreboard " 6.05 8.05 9.63 9.75 9.01 8.69 8.24 8.24 8.24 – Panneaux de fibres
Paper and paperboard million m.t. 61.86 92.52 70.10 69.61 68.82 66.31 63.57 66.13 67.40 Papiers et cartons
– Newsprint " 10.56 12.20 3.03 2.62 2.29 1.91 1.42 – Papiers journal
– Other paper & paperbrd. " 51.30 80.33 67.07 66.99 66.53 64.41 62.15 – Autres papiers/cartons
Imports – Importations
Sawnwood b million m3 23.87 34.46 28.33 27.42 26.44 25.30 26.26 26.70 26.57 Sciages b
– Softwood " 23.10 32.93 27.37 26.70 25.49 24.53 25.63 26.03 25.88 – Conifères
– Hardwood " 0.77 1.53 0.96 0.72 0.95 0.77 0.63 0.67 0.69 – Non-conifères
Wood-based panels c " 2.11 12.82 13.23 14.50 15.67 14.34 14.46 14.97 15.13 Panneaux à base de bois c
– Plywood " 0.50 2.63 4.88 4.93 5.47 4.66 5.06 5.30 5.33 – Contreplaqués
– Particle board " 1.33 1.44 1.25 1.24 1.33 1.43 1.46 1.33 1.36 – Panneaux de particules
– OSB 6.81 5.07 5.57 5.67 5.42 5.07 5.46 5.56 – OSB
– Fibreboard " 0.28 1.94 2.03 2.76 3.21 2.83 2.88 2.88 2.88 – Panneaux de fibres
Paper and paperboard million m.t. 7.78 15.84 9.26 9.17 9.46 8.72 7.64 7.83 7.87 Papiers et cartons
– Newsprint " 6.49 6.61 1.84 1.72 1.53 1.28 1.05 – Papiers journal
– Other paper & paperbrd. " 1.29 9.24 7.42 7.45 7.94 7.45 6.60 – Autres papiers/cartons
a The forecasts and 2020 are not a Une comparison entre prévisions (et 2020)
comparable with earlier data as the methodology is different. et les donnes anterieures s n'est pas possible à cause de différences des méthodes de calcul.
b Excluding sleepers through 2016 b Non compris les traverses jusqu'à 2016
c Not including veneer sheets c Ne sont pas compris les feuilles de placage
d Average figure for 1979-81 includes OSB d Les chiffres moyennes 1979-81 comprennent le OSB
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Slovenia: country market statement 2021

The forest sector market statement covers developments in the forest industry in Slovenia in 2020-2021.

Languages and translations
English

WOOD PRODUCTS MARKET STATEMENT WITH FORECASTS

(Market Statement 2021; Slovenia)

Slovenian Forestry Institute

Špela Ščap, dr. Nike Krajnc, Darja Stare

Ministry of Agriculture, Forestry and Food

Tomaž Remic

Ljubljana, October 2021

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1. General economic trends This Chapter is reproduced from the publication: Autumn forecast of economic trends 2021. IMAD, 2021. The COVID-19 pandemic, in combination with strict containment measures, affected economic activity in 2020. However, the measures to mitigate its negative impact on the population and the economy have prevented a sharper decline in activity and allowed for a faster recovery. The autumn forecast, issued by the Institute of Macroeconomic Analysis and Development of the Republic of Slovenia, predicts that GDP will grow by 6.1% this year, slowing to 4.7% next year and to 3.3% in 2023. Economic activity is expected to exceed 2019 pre-crisis levels already this year, in part due to the retention of certain measures to mitigate the consequences of the epidemic. Over the next two years, the recovery of the economy will continue, while material supply constraints and related price pressures should subside gradually. Certain containment measures are, however, expected to be retained (particularly in 2022), which will limit a full recovery in certain service activities (especially travel). Manufacturing, construction and services related to these activities will also continue to grow this year and mostly reach the pre-crisis levels of 2019. Manufacturing, which was relatively less affected during the second wave of the epidemic and already exceeded pre-crisis levels at the end of last year, continues to grow in the first half of the year and is expected to also do so in the second half, when growth is expected to slow due to supply-side constraints, i.e. shortages of skilled labour and problems in the supply of raw materials and intermediate goods. Most manufacturing activities will thus on average already reach their 2019 levels this year. With the gradual recovery in foreign demand, export and import growth will be high in 2021, and the favourable trends are expected to continue in the coming years. On average, total exports and imports will reach pre-crisis levels already this year. Export growth is expected to continue to outpace external demand growth throughout the forecast period. The high forecast growth in 2021 is related to the recovery in economic activity in Slovenia’s main trading partners. This year and in the next few years, private consumption is expected to strengthen; consumption is likely to reach its highest growth in 2022, when it will exceed the 2019 level. For 2021, 10% growth in gross fixed capital formation is forecast and it is predicted that high growth will continue in the next few years. In the first quarter of this year, growth was stronger in investment in equipment and machinery, mainly in private investment, as firms expanded their production capacity following the recovery in demand. On the other hand, construction investment is stagnating, which is related to high prices and material supply disruptions. Growth in government consumption, which was 4.2% last year, is gradually slowing from this year on. After years of favourable developments on the labour market were interrupted last year by the first wave of the epidemic, the employment rate has been rising steadily since the second half of last year, while the unemployment rate has been falling. At the end of 2019, employment was still historically high, while unemployment was approaching record lows. Since mid-March last year, with the adoption of measures to contain the coronavirus epidemic, the labour market conditions have deteriorated sharply: the number of employed persons fell notably in April (by 0.9%) and the number of registered unemployed rose (by 19.9%). Rising demand for labour has led to renewed pressures in some activities in recent months, caused by a shortage of adequately skilled workers. For 2021, 0.8% employment growth is expected and a decline in the average number of unemployed, which will be only 2% higher than in 2019. 2. Policy measures In 2020 and 2021, the forestry and wood processing sector has been marked by the epidemic of infectious disease caused by SARS-CoV-2. In the beginning of April 2020, the Act Determining the Intervention Measures to Contain the COVID-19 Epidemic and Mitigate its Consequences for Citizens and the Economy (Official Gazette of the Republic of Slovenia Nos 49/20 and 61/20) was adopted by the National Assembly of the Republic of Slovenia. In the first relief package to assist in mitigating the consequences of the COVID-19 epidemic (Act Determining the Intervention Measures to Contain the COVID-19 Epidemic and Mitigate its Consequences for Citizens and the Economy) the Government of

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the Republic of Slovenia foresaw direct compensation for forest owners. In the second wave the government did not foresee any direct compensation for forest owners due to the loss of income in forest management. Nonetheless, the last adopted package provides some measures, which are intended for forest owners. At the end of last year (31 December 2020) the Act Determining Intervention Measures to Assist in Mitigating the Consequences of the Second Wave of COVID-19 Epidemic entered into force (Official Gazette of the Republic of Slovenia No 203/20), which represents the 7th so-called „relief package to assist in mitigating the consequences of the epidemic“. First among of the measures, intended also for forest owners (Article 58) provides a reduction of the tax base from the potential market incomes for the cultivation on lands in the amount of 50% of the cadastral income, as it is determined on 30 June 2020 or 30 June 2021 following the rules on the determination of cadastral income. Similarly, regarding the fees for the maintenance of forest roads, Article 51 states that cadastral income from forest lands in the amount of 50%, as it is determined on 30 June 2020 following the rules on the determination of cadastral income, is to be considered in the calculation of the fees for the maintenance of forest roads for 2020 for forest owners, who are natural persons. To prevent an excessive loss of resources for the maintenance of forest roads, Article 51 also states that the share of the budget of the Republic of Slovenia, which belongs to specific local communities for co-financing the maintenance of forest roads in accordance to the regulation, which determines the share of co-financing the maintenance of forest roads, is calculated on the basis of the amount of resources for fees for the maintenance of forest roads as it were calculated at the 100% cadastral income. In addition to the above, Article 81 of this law also foresees an option to appoint a provisional operator of the agricultural holding or forest. If the farmer, members of the farm household or employees at the farm, which are registered in the farm register, or the forest owner are unable to perform sanitary felling in the forest due to the COVID-19 disease and it is not possible to ensure forest management in any other way, a provisional forest operator can be appointed. In 2018 Slovenia prepared the National forestry accounting plan for emissions and sinks of greenhouse gases (NFAP) with reference values from forest management and submitted it in accordance with the Regulation on the inclusion of greenhouse gas emissions and removals from land use, land use change and forestry (LULUCF) (Official Gazette of the Republic of Slovenia No 156/18). An important objective of the Regulation is that the stated sector in the period from 2021 to 2025 and from 2026 to 2030 produces no net emissions, i.e. that emissions do not exceed sinks. In October 2020, European Commission officially confirmed the prepared NFAP.

In July 2020, European Commission confirmed a change in the Rural Development Programme (RDP) for the period 2014-2020 (RDP 2014-2020), which provides a strong response to the COVID-19 crisis and enables the start of a strong investment cycle. A key innovation in the areas of forestry and wood industry is in the Sub-measure 8.6 - Support for investments in forestry technologies and in processing, mobilisation and marketing of forest products, i.e. the introduction of collective investments in forestry and in the area of wood processing. The advantage of collective investments over individual investments is that it is significantly easier for a group to carry out a demanding investment, as the financial burden of such an investment can be divided among group members. In July and August 2020 five public tenders for financial incentives were published in the area of forestry and wood industry: (1) public tender for the operation of investment in the purchase of new mechanisation, and logging and harvesting equipment pursuant to the RDP 2014-2020 for 2020, (2) public tender for the operation of investment in operations prior to industrial processing pursuant to the RDP 2014-2020 for 2020, (3) 3rd public tender for the operation of arrangement of forest tracks, needed for the execution of forest rehabilitation pursuant to the RDP 2014-2020, (4) 4th public tender for the activity works for remedying damage and restoration of forests pursuant to the RDP 2014-2020, and (5) public tender for the operation of arrangement of forest infrastructure pursuant to the RDP 2014-2020 for 2020.

Smart Buildings and Home including Wood Chain (SRIP PSiDL) is taking part in the revision of Slovenia’s Smart Specialisation Strategy (S4), as part of Slovenia’s preparatory efforts for the new European cohesion policy in the programming period 2021-2027. At the same time, SRIP PSiDL has revised its own action plan for the period 2020-2023 in the year 2020 and at the beginning of 2021. The

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revised action plan for 2020-2023 is based on the experience gained in SRIP’s three years of operation and represents an evolution of the SRIP PSiDL operation as it was initially devised in SRIP’s basic action plan for the period 2017-2019. The need to revise the plan arose as a consequence of increasing digitalisation and the intertwining of solutions for smart and sustainable buildings and their integration into the smart communities of the future, against the increasingly diverse demands and needs of users. The revised Action Plan SRIP PSiDL for the period 2020-2023 was confirmed by the Government Office for Development and European Cohesion Policy and the key ministries. At the end of 2020, new Rules on the measurement and classification of timber assortments from forests owned by the Republic of Slovenia were adopted, which determine the manner of measurement and classification by dimensions, quality, and purpose of use of timber assortments from forests owned by the Republic of Slovenia for the purpose of their sales. With a decision No 31000-2/2021/3 from 24 June 2021 the Government of the Republic of Slovenia adopted the Slovenian industrial strategy 2021-2030, in which strategic baselines and orientations for further development of the wood processing industry are laid down, among other things. Ministry of Economic Development and Technology (MGRT) is also responsible for the area of wood industry, pursuant to the State Administration Act (ZDU-1). To rationalise the strategy, the Ministry of Economic Development and Technology has started the procedure for the selection of contractors to prepare an „implementation plan of measures for the development of wood processing industry until 2030“. The aim of the document is to establish orientations for further development of Slovenian industry in the period 2021-2030 with a vision that the Slovenian industry become green, creative, and smart. An important goal, tied to the acquisition and use of wood, is to increase domestic processing of logs to 3 million m3 annually as well as to achieve 30% share of wood in all new public buildings, to develop new ways of use of wood, to increase the number of employees in industries, linked to wood (an increase of employees in services, linked to these industries, is also included, such as repair, assembly etc., which is not included in the general analysis), and to increase its sales realisation. In the beginning of March 2021, the Ministry of Infrastructure published the public tender for co-financing of district heating systems based on energy from renewable sources, which enables financial incentives for investments into new district heating systems based on energy from renewable sources (DH RES) and DH RES micro systems as well as into the expansion of DH RES systems. On 11 March 2021, the Government of the Republic of Slovenia adopted the long-term strategy for the energy renovation of buildings until 2050 (DSEPS 2050), which defines the approaches and policies to the decarbonisation of the national building stock until 2050 as well as defines the measures, which support the headline targets in buildings, written in the Comprehensive National Climate and Energy Plan (NEPN). These two headline targets are, as follows: (1) minimization of GHG emissions in buildings by at least 70% by 2030 compared to 2005 and (2) renewable energy sources (RES) are to represent at least 2/3 of use of energy in buildings by 2030 (share of RES use in the final use of energy products without electricity and district heat). As such the strategy defines and builds upon existing and new measures, which will enable that these goals be achieved. One of the important goals of the long-term strategy for the energy renovation of buildings until 2050 (DSEPS 2050) is that by 2050 as much as 74% of one-dwelling buildings and 91% of multi-dwelling buildings are energy renovated. This will enable the final use of energy decrease by 45% and the CO2 emissions decrease by almost 75% compared to 2005. In June 2021, Ordinance on the Climate Change Funding Programme for the period 2021-2023 entered into force, after being proposed by Ministry of the Environment and Spatial Planning. Ordinance on the Climate Change Funding Programme for the period 2020-2023 includes purposes and measures also in the forestry and wood industry, such as:

• Continuation of co-financing of citizen investments through the Eco Fund public call for the replacement of old wood burning appliances with new burning appliances run on wood biomass or with heat pumps;

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• Continuation of measures supporting the economy - measures „Subsidies for domestic or foreign initial investments in activities, important for the transition into low-carbon, circular and climate-resilient economy“; „Support for the transition into circular, low-carbon and climate-resilient economy“ as well as a new measure „Coverage of indirect costs due to the costs of GHG emissions“;

• Measures to mitigate climate change and adapt to it in forestry; • Continuation of measure „Sustainable construction with wood“, which will also include the

promotion of planning and construction of new dwellings, thereby achieving broader goals of sustainable development;

• Adapting to climate change - performing measures of preserving biodiversity and co-financing programmes of remedying damage due to natural disasters;

• Climate change research, development and innovations, where the following measures are listed: „Green jobs“, „Low-carbon technological innovation, development and demonstration“, „Spatial and environmental digital transformation - eMOP“, „Climate goals and contents in education“.

In the middle of this year, the Ministry of Agriculture, Forestry and Food, together with participating professional institutions, prepared the Report on the Implementation of National Forest Programme in the period 2015-2019, based on the foundations of linking the goals, orientations, and indicators of the National Forest Programme with the system of Pan-European criteria and indicators of sustainable forest management. The report states that in the period 2015-2019 the Resolution on the National Forest Programme, as the basic strategic document, intended for determining, implementing, and monitoring the national policy regarding sustainable forest management, was as a rule respected and the national forest programme as a process was principally implemented. The main principles, goals, and orientations, aimed at preserving forests and ensuring their multifunctional role, including environmental, social, and economic aspects, were adhered to. In the forest management, the narrower forestry sector cooperates with other forest-wood chain links, the field of environmental protection and nature conservation, as well as with all others with ties to the forest and forest land. In accordance with the decision of the Government No 00403-1/2016/85 from 15 June 2016, the Ministry of Economic Development and Technology has prepared, based on contributions from members of the working group „Forest - wood“, a draft of the Report on the Implemented Measures from the Action Plan for Increasing Competitiveness of the Forest-wood Chain in Slovenia until 2020 („Wood is beautiful“), for 2020. Before the material was submitted to be addressed by the Government, the report was addressed by the working group „Forest - wood“, which met in September and confirmed the report. In July 2021 the National Assembly of the Republic of Slovenia adopted the Act on the Promotion of the Use of Renewable Energy Sources (ZSROVE) (Official Gazette of the Republic of Slovenia No 121/2021), which regulates the implementation of policies at national and regional levels in the area of the use of renewable energy sources, sets forth a binding target for the share of energy from renewable energy sources in the gross final consumption in Republic of Slovenia as well as the measures for achieving this goal and how to finance them, regulates the guarantees of electricity origin, self-supply with electric energy from renewable sources, the use of energy from renewable sources and excess heat in the heating and cooling sector and in the transport sector, and the information and training of installers. If one or more of the national reference values for achieving the share of energy from renewable sources are not achieved, as it is set forth with the action strategy paper NEPN, or if Slovenia fails to maintain, from 1 January 2021, the initial share of 25%, the Government may decide that a financial contribution into the Union renewable energy financing mechanism is to be performed, which was established by Article 33 of Regulation (EU) 2018/1999 and the Commission Implementing Regulation (EU) 2020/1294 of 15 September 2020 on the Union renewable energy financing mechanism (Official Journal of the European Union, L 303, 17 September 2020). In July 2021, the Resolution on the Slovenian climate long-term strategy 2050 (ReDPS50) was adopted, which follows the commitments under the Paris Agreement and is prepared according to the Framework

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of Slovenian climate long-term strategy. Climate strategy is based upon the principles of minimization of GHG emissions, efficient use of energy and minimisation of energy consumption, climate justice, just transition and scientific findings. The main vision of the strategy is that by 2050 Slovenia will be a climate-neutral and climate-resilient society based on a sustainable development. It will be efficient in the management of energy in natural resources, while at the same time maintaining a high level of competitiveness of a low-carbon circular economy. On 2 July 2021, the Ministry of Agriculture, Forestry and Food (MKGP) published a proposal of specific contents of the Strategic plan of the Common agricultural policy for 2023-2027 (SP 2023-2027), which contains an analysis of the situation, identified needs, interventions, financial breakdown, unit amounts and impact indicators. With the publication of the proposal of specific contents of the CAP Strategic plan for 2023-2027 a public discussion began, which lasted until the middle of August. In the framework of SP 2023-2027, measures for forestry are also foreseen, which remain to a large extent similar to those from the still current Rural Development Programme 2014-2020. The EU Forest Strategy for 2030, which was published by the European Commission in July 2021 (COM (2021) 572 final), is written at the onset of rapidly accelerating climate and biodiversity crises. The next decade is crucial and the Strategy therefore presents a concrete plan for 2030, combining regulatory, financial and voluntary measures in forestry and sectors, connected to it. It includes measures for strengthening forest protection and restoration, enhancing sustainable forest management, and improving the monitoring and effective planning on forests in the EU. The main goal is to ensure resilient forest ecosystems and enabling forests to deliver on their multifunctional role. To further support sustainable forest-based bioeconomy for a climate neutral future, the strategy proposes measures for innovation and promotion of new materials and products to replace fossil-based counterparts. A special emphasis is put on boosting the use of non-wood forest goods and activities related to such goods, including ecotourism. The Strategy also focuses on sustainable re- and afforestation and is accompanied by a roadmap for planting at least 3 billion additional trees in the EU by 2030. To help repair the economic and social damage brought by the coronavirus pandemic, kick-start European recovery, and protect and create jobs, the European Commission proposed a major recovery plan for Europe based on harnessing the full potential of the EU budget. To ensure the recovery is sustainable, even, inclusive and fair for all Member States, the European Commission has proposed to create a new recovery instrument, Next Generation EU, embedded within a powerful, modern and revamped long-term EU budget. With the instrument Next Generation EU, worth EUR 750 billion, as well as targeted reinforcements to the long-term EU budget for 2021-2027 the Commission will bring the total financial firepower of the EU budget to EUR 1.824 trillion. In the recovery fund, Slovenia also included two forestry areas, i.e. (1) digitalisation in forestry, and (2) seeds, nurseries, and forest protection, which was confirmed by the European Commission in July. The combined funding for these two areas is around EUR 18 million. 4. Market factors Data sources: IMAD, SURS, SFS and SFI

The latest data from SURS show that economic activity contracted by 4.2% last year. After a sharp decline in the second quarter of last year and a rebound in the third quarter, the epidemiological situation deteriorated again and protective and containment measures were reintroduced in the last quarter, restricting or prohibiting the operation of certain service activities. On the other hand, activities related to international trade (manufacturing and transportation) and construction continued their recovery. The recovery continues this year, with the exception of construction, where activity fell q-o-q for the second consecutive time in the first half of the year, mainly because of supply disruptions and high prices of materials. Investments and imports and exports are also growing further. Due to a gradual easing of containment measures, turnover in trade was much higher in the first half of this year than a year ago. Year-on-year GDP growth was thus 8.8% in the first half of the year. According to the available data, it is estimated that growth in activities related to international trade has continued over the summer, as

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well as, with the continued easing of containment measures and despite the recovered/vaccinated/tested rule, the recovery in services and private consumption, which will have a positive impact on the growth of overall economic activity. Growth is expected to slow in the final quarter, as an increased number of infections in the colder autumn and winter period, in addition to the restrictions already in place (e.g. the recovered/vaccinated/tested rule), could lead to more cautious (self-limiting) behaviour by the population, which will hamper growth, especially in service activities and private consumption. Growth in manufacturing, which is facing supply-side constraints, is also expected to slow.

Even though 2020 was not marked by natural disasters, sanitation felling nonetheless amounted to 42% of the whole felling in this year. The rehabilitation of damaged forests is a priority activity of the Slovenian Forest Service (SFS), forestry sector, forest owners and contractors for forestry works. Last year saw the beginning of the reconstruction process of regional forest management plans and hunting management plans, which represent the strategic basis for forest management in the next 10 years. These plans are an important instrument of forest policy and of ensuring hunting management goals, and significantly contribute to the development of other areas, such as preserving of natural and cultural heritage, protection of water sources and rural development. The reconstruction process and participatory workshops on this topic are led by SFS; the purpose of the workshops is to address goals and strategies for forest management in the specific forest management area and to manage the population of game in the hunting management area.

This year the import of oak logs from USA into EU has stopped due to the oak disease, called „oak wilt“, caused by the quarantine pest Bretziella fagacearum. In the EU, the logs of white oak (Quercus alba) and red oak (Quercus rubra) are used primarily in the veneer industry and, in a lesser manner, in the manufacturing of wine barrels. The prohibition of trade with this type of goods has affected primarily some of the veneer manufacturers from Austria, Germany, Portugal, and Spain. The prohibition measure also affects the Slovenian primary wood processing industry, but in a minimal extent, as there are very few processors of logs of red and white oak in Slovenia.

In the wood processing industry (NACE C16), in the current year 2021, the production index has increased by 20.2% in the first seven months compared to the same period in the previous year. Also, in the industry of paper and paper articles (NACE C17), a positive trend can be detected this year, with the production index 3.2% in the first seven months compared to the same period in the previous year. The greatest growth can be seen in the activity of furniture production (NACE 31), with the production index 27.5% in the months from January to July 2021 compared to the same period in the previous year. Sales revenues in NACE 16 increased by 22.5% in the first seven months compared to the same period in the previous year: 18% on the domestic market and 25.2% in export. This year sales revenues have also increased in NACE 17 and NACE 31; for a total of 5.9% for the former and 27.5% for the latter.

In 2020 and 2021 various promotional activities took place and efforts were made for the growth and development of wood processing industry and the use of wood products in construction as well as for increasing competitiveness of the wood and furniture industry. Public Agency for Entrepreneurship, Internationalization, Foreign Investments and Technology (SPIRIT Slovenija) in cooperation with the Wood Industry Directorate was very active in this area. Slovenia adopted the Smart specialisation strategy (S4), where it has in the priority area „Healthy working and living environment“ specifically defined the area of application „Smart buildings and homes, including wood chain“. A proposal of Slovenian industrial strategy 2021-2030 is drafted, with the aim to increase the quantity of domestic wood processing to 3 million m3 annually by 2030 as well as to achieve sales revenues of EUR 2.5 billion annually in the wood industry and the number of employees at least 15,000.

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5. Developments in the wood products market Data sources: SURS, IMAD, CCIS: Wood Processing and Furniture Association, CCIS: Paper and Paper Converting Industry, SFI; recalculations, analysis and interpretation of SFI

a) Roundwood

2020

In the previous year, the production of forest wood assortments was not significantly affected by the sanitation of damage due to natural disturbances in forests. In 2020 the volume of production of forest wood assortments was 4.0 million m3 net, which is 16% less than in 2019, the main reason being a lower volume of sanitation felling (-38% compared to 2019), though the felling in 2019 was also smaller in volume compared to the period 2014-2018. In 2020 the production of forest wood assortments from coniferous trees amounted to 2.1 million m3 (-24% compared to 2019), which is the lowest number since 2013. Production of forest wood assortments from deciduous trees amounted to 1.9 million m3, which is 3% less than in 2019. The biggest share in the structure of production of forest wood assortments from coniferous trees was held by the category of sawlogs and veneer logs with 77% and the biggest share in the structure of production of forest wood assortments from deciduous trees was held by fuel wood and firewood (54%).

Acquisition amounts of forest wood assortments from private forests have decreased in industrial coniferous roundwood by 21% compared to 2019, on the other hand, acquisitions of industrial non-coniferous roundwood have increased by 22%. Acquisition of firewood (coniferous and non- coniferous) increased by 26% compared to the year before. The value of acquisition amounts of industrial coniferous roundwood from private forests decreased by 22%, whereas it increased by 8% for deciduous trees. In 2020 the purchase prices of forest wood assortments from private forests reflected the consequences of measures, adopted by the Government of the Republic of Slovenia, to mitigate the negative consequences of the epidemic caused by SARS-CoV-2 for the population and the economy and assist the latter’s faster recovery as well as the developments on the European markets and worldwide. The average price of all forest wood assortments combined from private forests has decreased in 2020 by 4% compared to 2019. The average annual purchase prices from private forests were lower in 2020 in all categories of forest wood assortments compared to 2019, with the exception of oak logs. Roundwood export continues to decrease and amounted to 1.56 million m3 in 2020 (-18% compared to 2019). Such amount of roundwood export was last recorded in 2013. Roundwood import into Slovenia has been rising since 2016 and amounted to record 0.86 million m3 in 2020, which is 39% more compared to 2019. The foreign trade surplus of roundwood has consequently fallen (0.70 million m3), which is the lowest number since 2011. The foreign trade surplus of coniferous logs, which has represented the biggest share of the foreign trade balance of roundwood throughout the years, amounted to a mere 0.16 million m3 last year, which is the lowest number in the past fifteen years. Last year the biggest foreign trade surplus was recorded for industrial non-coniferous roundwood (0.42 million m3).

2021

This year, the volume of production of forest wood assortments is expected to be smaller compared to the volume in the previous year mainly due to a smaller volume of sanitary felling. According to the data of the Slovenian Forest Service, 17% less woody mass was felled in the period from 1 January 2021 to 31 August 2021 compared to the same period last year. Felling of coniferous trees is predominant with 56%, but in the past two years this share has been decreasing compared to the same period in the years before. From January to the end of August this year sanitation felling of coniferous trees was significantly low; it was 63% lower compared to the same period last year and as much as 76% lower compared to the period from January to August in 2019. Due to the lower felling of coniferous trees, which is a consequence of smaller damage caused by bark beetles, there was a lack of industrial coniferous roundwood, especially logs, in 2021. Lack of coniferous logs on Slovenian and European markets as well as high demand for this wood have led to a significant rise in prices of these assortments. For instance, in August 2021 the purchase price of spruce logs of D1 and D2 quality classes from private forests has risen by 75% compared to August 2020, and the price increase is even greater in the C quality

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class (+85%). Nonetheless, for this year the import of coniferous logs is forecast to remain on a similar level as last year, however, import from Germany is increasing in the structure of these assortments import.

The consequences of the coronavirus epidemic and measures to contain it have affected the activity in the Slovenian economy in general, therefore the Slovenian Forestry Institute has monitored the impact of the epidemic on the volume of roundwood acquisitions from private forests, among other things, using survey questionnaires. In the first half of this year more than half of the companies, participating in the survey, have reported a decrease in acquisitions due to the epidemic, on average by 27%. In August this year, when the coronavirus epidemic officially ended, the companies reported that the consequences of restrictions due to coronavirus in the industry have reduced. Only a quarter of the participating companies reported a decrease in acquisitions due to the virus at that time. As the main reason, they stated less supply of wood on the market and higher prices of wood. According to the data on acquisitions of forest wood assortments from private forests, prepared on a monthly basis by the Statistical Office of the Republic of Slovenia (SURS), in the first seven months of this year acquisitions decreased by 3% compared to the same period in the previous year, when acquisitions and sale of forest wood assortments stopped almost completely, especially in March and April, due to the stringent measures for the containment of the epidemic caused by SARS-CoV-2. This year acquisitions decreased in firewood and industrial coniferous roundwood (e.g. pulpwood by -13%, coniferous logs by -10%) compared to the first seven month of last year. Acquisitions have increased in industrial non-coniferous roundwood, the most in the category of non-coniferous logs excluding beech and oak, which represents a low share in the total acquisitions of roundwood, and in the category of non-coniferous split and round pulpwood.

Data from SURS show that the purchase prices of forest wood assortments from private forests increased in all categories from January to July this year compared to the same period in the previous year. The price of coniferous logs increased by 29% and was 74.05 EUR/m3 on average, price of beech logs increased by 3% and of oak logs by 10%. The purchase price of oak logs has been increasing since 2012, the main reason being the increased demand for this wood, especially for logs of great quality. The purchase price of coniferous pulpwood increased by 11% in the first seven months of 2021, whereas the purchase price of non-coniferous split pulpwood increased by 1% compared to the period from January to July 2020. Due to a significant price increase especially in conifer logs in the second half of this year, a much higher average purchase price is expected at the end of this year than the one mentioned above.

According to the currently available data from SURS for 2021, it appears that import and export of roundwood will remain at a similar level as in 2020. The foreign trade structure per categories of roundwood will likely continue to change, however. It is estimated that the export of coniferous logs will continue to decrease this year and will amount to less than 300,000 m3. Forecasts show, however, that the export of industrial non-coniferous roundwood will increase significantly and will amount to around 750,000 m3, which is a record number. Export of coniferous pulpwood will continue to decrease. It is estimated that the import of coniferous logs will be somewhat lower than in 2020 (between 300,000 and 350,000 m3), nonetheless it will likely be greater than the export of this wood, which will happen for the first time, since SURS has been preparing data on foreign trade of roundwood. Import of coniferous pulpwood is also estimated to increase (to around 300,000 m3), just as import of industrial non-coniferous roundwood.

b) Wood biomass for energy

In Slovenia, approximately 50% of households use wood fuels for heating and use on average approx. 1.5 million ton of wood fuel, predominantly logs, followed by pellets, chips and finally briquettes. Heating represents one of the biggest costs in households and as the prices of fossil fuels are rising, the use of wood fuels has been increasing in Slovenia in the last decade. Firewood represents one of the cheapest heating systems and is at the same time one of the most accessible energy products in Slovenia, whereby the households acquire it from their own forests or the market.

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Firewood for household use must be air-dry to ensure to optimal combustion and reduce dust particle emissions. On the Slovenian market, the biggest demand is for beech firewood with humidity levels of approx. 20% (air-dry firewood) and lengths between 25 and 33 cm. The price of such firewood amounted to 168 EUR/t at the end of the heating season 2020/2021, which is 2% more compared to the beginning of the heating season. The price of fresh firewood or firewood with humidity above 30% with the same dimensions was 159 EUR/t. The Slovenian Forestry Institute monitors wood fuel prices and regularly publishes them at http://wcm.gozdis.si/cene-lesnih-goriv.

Image 1: The prices of firewood (in EUR/t with VAT) in the period 2011-2021 (source: Slovenian Forestry Institute) Wood fuels are and will remain an important energy product, mainly in rural areas, and are also environmentally friendly compared to fossil fuels. If wood fuel prices are compared to heating oil prices, it can be determined that wood chips, the cheapest among energy wood products, are 75% cheaper than heating oil, firewood is 56% cheaper than heating oil and pellets as the most expensive form of wood biomass are 40% cheaper than heating oil. In May 2021 the price of extra-light heating oil was around 96 EUR/MWh (VAT included). The price of pellets, packed in 15 kg bags, cost 270 EUR/t or 57 EUR/MWh (VAT included) on average after the end of the heating season 2020/2021. In 2020 the difference between the prices of pellets and heating oil was the smallest recorded since the beginning of price collection in 2011, due to the drop in heating oil prices. In 2021 the price of heating oil has once again risen significantly - in May the price was 34% higher compared to the same period in the previous year. Data show that the price dynamic is greater with heating oil and that wood fuel prices are more stable than fossil fuel prices.

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Image 2: Representation of price trends (in EUR/MWh) and differences between the prices of pellets and heating oil (data source: Slovenian Forestry Institute and European Commission) In the last decade Slovenia was net importer of pellets with the exception of the year 2017, when export was greater than import. Data of the Statistical Office of the Republic of Slovenia show that in 2020 just over 257,000 tons of wood pellets were imported, which is 12% more compared to 2019. The import of pellets has been rising since 2017. The main countries, from which Slovenia has imported wood pellets in 2020, were: Romania (36% of the total import of pellets), Ukraine (23%) and Austria (13%). The main consumers of wood pellets are households, followed by larger public buildings and other users. According to the data on the production of pellets in Slovenia, collected by SFI, the production of pellets in Slovenia has been rising for the past 10 years. There are currently 22 registered producers in Slovenia. They are predominantly smaller producers, who annually produce up to 10,000 tons of pellets. The production of pellets in Slovenia amounted to 148,000 tons in 2020, which is 10% more compared to 2019. In the export amounts, the pellets of Slovenian producers are included as well as pellets, which were previously imported into Slovenia (a so-called re-export). Due to vibrant trade with pellets, the indicator of foreign trade deficit or surplus, which is calculated as a balance (import - export), is useful on the national level. Like in previous years (with the exception of 2017) a foreign trade deficit was recorded on the wood pellet market in 2020, which shows that the consumption of pellets was greater than production. According to data from SURS, the foreign trade deficit was more than 59,000 tons last year. The export of wood pellets in 2020 was less than 198,000 tons and decreased by 5% compared to 2019, when it reached a volume above 200,000 tons for the first time. Despite this decrease the export of pellets remains at a high level given the last 10-year period. Italy remains the main export market of wood pellets for Slovenia (83% of total exported volumes), followed by Austria with 9% and with 7% of volumes exported to the neighbouring Croatia.

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Image 3: Foreign trade and balance consumption of pellets in the past 10 years (data source: Statistical Office of the Republic of Slovenia, recalculations of SFI) Wood chips are predominantly used for energy purposes, and the Thermal Power Plant Ljubljana is by far the largest consumer with an annual consumption of over 100,000 tons. The consumption of wood chips in the production of wood products (fibre boards, pulp, chemicals) represents less than 20% of the total consumption of wood chips in Slovenia. According to data for foreign trade, Slovenia exported just under 450,000 tons of wood chips to foreign markets in 2020, of which over one half (53%) of volumes went to the Austrian market and 25% of volumes went to the Italian market. Import of wood chips has been decreasing in the past years and was less than 79,000 tons in the last year. The greater part of the volumes (78%) was imported from the neighbouring Croatia. Wood chips are the cheapest form of wood fuel on the market. The final price of the product is influenced mostly by particle size and water content. The price for best-selling wood chips (humidity approx. 30% and particle size of approx. 31 mm) averaged at 81 EUR/t at the end of the heating season 2020/2021, which is approximately 17% more compared to the beginning of the heating season and approx. 8% more compared to the same period in the previous year. Chips with lower water content are usually more expensive. The price of wood chips of the same size class (approx. 31 mm) with humidity approx. 20% was 91 EUR/t at the end of the heating season. While the use of wood for energy purposes can indeed have negative consequences on air quality, it is important to acknowledge carbon neutrality and environmental appropriates of wood as an energy product. The use of quality wood fuels in modern wood burning appliances reduces dust particle emissions, which are a common problem in many places in Slovenia during heating season.

c) Certified wood products

Now, 260,747 ha of forests are certified by the FSC system, which is 2% less compared to the same period last year. This surface represents 23% of the complete forest area in Slovenia and these are predominantly national forests (share of 91%). The company SiDG d.o.o., which manages national forests, holds four group FSC certificates, along with the certification of national forests. In 2020, eight

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larger private forest holdings, with a total of 30,032 hectares, were certified in a group scheme FSC FM/CoC of SiDG.

The area according to the system PEFC for certified forests is increasing slightly and now encompasses 293,645 ha. The greater part of this area is represented by national forests, managed by the company Slovenski državni gozdovi d.o.o. An increasing number of forest owners, who manage their own forest, are involved in the regional certification scheme PEFC; there were more than 1200 of such owners last year.

Companies use the FSC and PEFC certificates for tracking wood origin predominantly as a marketing mechanism for export markets and compliance with green public procurement policies. The number of companies with the FSC certificate for tracking certified wood (CoC) is currently 263 (+6% from September 2020), and the number of companies with the PEFC certificate for tracking certified wood (CoC) is 80, which is 13% more compared to the same period last year.

d) Value-added wood products

The Slovenian furniture industry produced net sales revenues in the amount of EUR 353 million in 2020, which is 4% less compared to 2019 and represents 1.2% of net sales revenues in relation to the whole processing industry in the country. The share in the total net sales revenues structure in foreign markets for the furniture industry NACE C31 amounted to 41% last year. Foreign market sales recorded a decrease of 7.9% last year compared to 2019. In 2020 the added value per employee in manufacturing C31 has increased by 0.9% compared to 2019 and amounted to EUR 33,580.

The furniture industry production index (the entire furniture industry in NACE C31), which also includes the production of wooden furniture, increased by 27.5% in the first seven months of this year compared to the same period in the previous year. The net sales revenues within the comparative periods also increased by 27.5%, with 25.9% on the domestic and as much as 29.5% on foreign markets compared to the same period in the previous year.

e) Sawn softwood

In 2020 processing of coniferous roundwood remained at a similar level as in 2019. Last year SFI conducted extensive research on the state of the sawmill industry in Slovenia. The registered number of sawmills, dealing exclusively with the sawing of coniferous logs, was 120. An additional 118 companies process both coniferous and non-coniferous logs. One of the sets of questions in research was directed on the impact of the COVID-19 epidemic on the sawmills’ activity. 63% of the companies participating in this set of questions responded that they felt the consequences of the epidemic and measures to contain it in the period of the first wave of the epidemic (from March to May 2020). In this period sawmills reduced sawn wood production by 38% on average, the volume of wood acquisitions deceased by 46% on average, and the sale of sawmill products also decreased; by 39% on average on the domestic market and by 50% on the foreign market.

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Image 4: Recorded quantities of sawn coniferous logs in 2019 by statistical region (source: SFI research, 2020) Sawn softwood production amounted to 877,000 m3 in 2020, which is 7% more compared to 2019. In 2020, the import of sawn softwood decreased by 12% and the export decreased by 14% compared to 2019.

However, a slight decrease in sawn softwood production is expected in 2021, mainly due to a significant lack of spruce logs both on the domestic and foreign markets. Given the forecasts both import and export of sawn softwood will increase this year.

SFI started a regular monitoring of purchase prices for a total of 42 sawn softwood products in 2021. Purchase prices, not including VAT and transport, are monitored every quarter, and are reported by sawmills across the whole country. In August 2021 the prices of all sawmill products have increased significantly (from 17 to 70%) compared to February and May of this year. Compared to February 2021, in August the average price increase of all products was 44%. The prices of sawmill residues have also increased.

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Image 5: Minimal, maximal, and median values of collected purchase prices for spruce construction wood for the months of February, May and August 2021. Data for the following products is shown: Construction wood C24/S10, undried (KL C24/S10 (n)); construction wood C24/S10, dried (KL C24/S10 (s)); boards 24 mm and 38 mm, undried (boards); planks 48 mm in 80 mm, undried (planks); beams 140 x 140 mm (under 5 m and over 6 m), undried (beams); laths 50/30 - 50/50 mm (length 3-5 mm) with a CE marking, dried (laths). Purchase prices are shown in EUR/m3 not including VAT and transport.

Despite a long-term prediction that the tree composition in Slovenian forests is changing (with the share of deciduous trees increasing), new investments into technological modernisation and the increase of capacity of existing Slovenian sawmills, which process coniferous wood, as well as investments into new sawmills are foreseen in the coming years. In addition to this, the company Slovenski državni gozdovi d.o.o. (SiDG d.o.o.) will establish multiple centres for collection and modern primary processing of wood in the period 2021-2024.

f) Sawn hardwood

Sawn hardwood production amounted to 125,000 m3 in 2020 and was thus at a similar level as in 2019. In the above-mentioned research it was determined that there are few sawmills, which process exclusively non-coniferous logs (less than 20), in Slovenia. Of this, only two companies process more than 10,000 m3 of logs a year. That said, there are currently 8 sawmills, which process 10,000 m3 or more of non-coniferous logs a year, registered in Slovenia. Most of the companies deal with a cutting quantity of up to 5000 m3/year.

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Image 6: Recorded quantities of sawn non-coniferous logs in 2019 by statistical region (source: SFI research, 2020)

The use of sawn hardwood increased to 121,000 m3 in 2020 (+3% compared to 2019). Both the import and export of sawn hardwood decreased in 2020 compared to the year before; import decreased by 23% and export by 13%. Due to the larger amounts of non-coniferous logs on the market, there were no problems with the supply of the raw materials on sawmills in the country in 2020, with the exception of the beginning of the first wave of the COVID-19 epidemic.

In 2021 an increase of sawn hardwood production and use is expected. Foreign trade will remain at a similar level as in 2020.

The quantities and values recorded in the production, the import and export of sawn wood from tropical tree species are negligible. A similarly low level of sawn wood from tropical trees foreign trade is foreseen for this year.

g) Wood-based panels (including veneer)

Production of all types of wood-based panels (including veneer) was just under 233,000 m3 in 2020, 63% of which was coniferous. Compared to 2019 production thus decreased by 6%, one of the main reasons being that one of the biggest buyers of lower quality wood and producers of wood-based composite panels in Slovenia halted production in the first wave of the epidemic COVID-19. For the second year in a row, the consumption of wood-based panels has decreased, which shows a reduction in the consumption of these products in residential buildings construction and construction in general. For 2021 we estimate an increased volume of production by approx. 10% compared to 2020. It is also estimated that the consumption of most types of wood-based panels (with the exception of veneer) will increase.

In 2020, 177,000 m3 of particle boards (including OBS boards) were used in the manufacture of furniture and in construction, which amounts to a 2% decrease compared to the previous year. Some furniture manufacturers faced problems in the supply of particle boards in 2020, mainly due to longer delivery times. For 2021 an increase of particle board consumption is expected, mostly on the account of an

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increased import of this type of wood-based panels. Particle boards originate entirely from imports, as the last remaining manufacturer of particle boards in Slovenia filed for bankruptcy at the end of 2015.

The consumption of fibreboards in Slovenia is the lowest compared to other wood-based panels. Over the last ten years it decreased by more than a half and was thus 23,000 m3 last year. There is one company, engaged in the production of fibreboards of the MDF type in Slovenia.

Plywood panel production is dominated by tri-layer shuttering composite conifer panels, of which the greater part of production is exported. In 2020, the production of shuttering panels decreased by 8% compared to 2019, mainly due to the negative effect of the COVID-19 epidemic and measures to contain it. For 2021, we estimate that the production of this category of wood products will increase again by approx. 15%.

Production of veneer was 10% higher in 2020 compared to 2019 and was more than 19,000 m3, despite the negative effect of the COVID-19 epidemic on the production of wood-based composite panels in Slovenia. For 2021 a few percentage points lower volume of production is forecast. The best part of sliced veneer manufacture is performed as a service for customers within the EU.

h) Pulp and paper

The scope of mechanical pulp production has been stagnating for a third year in a row and was 91,000 tons in 2020. In 2020, the import of mechanical pulp represented 2% of the total import of all types of pulp, while the export represented 31%. Mechanical pulp export volumes are negligible as the production in Slovenia is entirely integrated.

According to CCIS data, the whole Manufacture of paper and paper products industry (C 17) produced 706,000 ton of products in 2020, which is a 2% decrease from 2019. For a third year in a row, a decrease in production is recorded, while even lower production is estimated for this year.

This year Vipap Videm Krško d.d., a company with a long-standing tradition, engaged in the production of newsprint paper, coated graphic paper and kraft wrapping paper, halted production in July due to financial problems. The company is currently undergoing a financial and operational restructuring, and its future is yet unclear. To produce groundwood pulp, the company uses over 50,000 m3 of groundwood.

In the first seven months of 2021, the C 17 industry recorded a 3.2% increase in the industrial production index compared to the same period in the previous year. Sales revenues in the industry also increased by 5.9% in the first seven months of this year.

i) Innovative wood products

The Slovenian Chamber of Commerce and Industry chose Project Home24h - Smart Home of the Future for a comfortable and healthy living environment, whose partnership is coordinated by TECES, as one of the breakthrough economic achievements in 2021. The project combines technological solutions of 12 Slovenian companies into a conceptual uniform building. Home24h combines several modes under one roof: living in a single-family house, working from home, and active spending of free time. The 2020 Silver National Innovation Award, awarded each year by the Chamber of Commerce and Industry of Slovenia, was awarded to the company Ledinek Engineering, d.o.o. for their innovation Z-Press - an automatic machine for edge gluing of wood laminations into laminated panels of requested dimensions. The Z-Press is used for edge gluing of wood laminations for assembly bonding of solid wood panels. On this year's 14th Charm of Wood event, which is intended for the promotion of wood and wood products, the company M Sora d.d received the 2021 Wooden Masterpiece Award for the ReWin front doors, made from discarded, but still quality wood.

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Image 7: ReWin front doors (photo: M Sora d.d.) On the central national event, called Day of the Slovenian Wood Industry the company Marles d.d. received the 2020 Best Wood Construction Award. The Trebelno object for sport and education is a state-of-the-art, almost zero-energy object of a modern design, built in accordance with the new sectoral legislation, which foresees a substantial share of wood or natural materials in the object isolation. In the awarded object, this share has exceeded 75%, therefore the investor received the greatest possible subsidy from the Eco Fund.

j) Residential construction and construction

The increasing trend in the value of construction work in the country has stopped in 2019, but this value increased again in 2020 by as much as 47%. Value of construction work has increased in all construction activity types. The biggest value of performed construction work (41% in 2020) is represented by new buildings. The value of construction work increased by as much as 120% in construction of buildings, and the construction of residential buildings increased by even more compared to 2019. The biggest value of construction work, performed in 2020 in the category of residential buildings, were represented by new buildings with 49%.

The decreasing trend in the construction of dwellings came to an end in 2015 and has steadily risen from 2016 onwards. In 2020, 10,958 dwellings were under construction in Slovenia, of which 3,540 were completed by the end of the year, which is 4% more than in 2019. In 2020 most of the dwellings were completed in the Osrednjeslovenska statistical region (24% of all), followed by the Podravska statistical region (19% of all). On the other hand, the fewest dwellings were completed in the Zasavska region (1%). In the first eight months of this year, 4,123 building permits were issued for new buildings and the change of use of buildings, which is 12% more compared to the same period in the previous

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year. For residential buildings 6% more building permits were issued and for non-residential buildings 16% more were issued compared to the first eight months of last year.

Company activity within the Manufacture of other builders' carpentry and joinery (NACE: C16.230), which consists of the manufacture of prefabricated wooden buildings, builder’s joinery (windows, doors, stairs…) and glued laminated roof trusses and roofing, was again successful last year, with a reported highest net profit in the industry C16 Manufacture of wood and of products of wood. According to CCIS, this segment had a EUR 22.6 million net profit last year, which is 19% more than net profit in 2019. The growth of sales revenues created by companies in this industry on foreign markets increased by 7.7% compared to 2019, and net sales revenues in foreign markets increased by 8.2%.

Even though the export of wooden windows has been decreasing in the last years, Slovenia remains a traditional net exporter of wooden windows and doors. The increasing trend in the import of wooden doors is continuing in 2020 (+13% compared to 2019), and last year the import of wooden windows increased as well, by 16%. The export of wooden doors decreased by 3% last year compared to the year before, while the export of wooden windows increased by 11%, but remains 11% lower compared to the average in the period 2017-2018.

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6. Tables a) Economic indicators

2020

Autumn forecast (September 2021)

2021 2022 2023

GDP

GDP, real growth in % -4.2 6.1 4.7 3.3

GDP, nominal growth in % -3.1 7.3 5.9 5.2

GDP in EUR billion, current prices 46.9 50.4 53.4 56.1

Exports of goods and services, real growth in % -8.7 10.9 8.2 5.6

Imports of goods and services, real growth in % -9.6 12.6 8.8 5.8

External balance of goods and services (contribution to growth in p.p.) -0.1 -0.2 0.2 0.3

Private consumption, real growth in % -6.6 5.6 6.0 3.1

Government consumption, real growth in % 4.2 1.8 1.5 1.0

Gross fixed capital formation, real growth in % -8.2 10.0 8.0 6.0

Change in inventories and valuables (contribution to growth in p.p.) 0.1 1.2 -0.3 0.0

EMPLOYMENT AND PRODUCTIVITY

Employment according to the SNA, growth in % -0.6 0.8 1.5 1.2

Number of registered unemployed, annual average, in '000 85.0 75.4 67.8 65.0

Registered unemployment rate in % 8.7 7.7 6.9 6.6

ILO unemployment rate in % 5.0 4.7 4.3 4.2

Labour productivity (GDP per employee), real growth in % -3.7 5.3 3.1 2.1

BALANCE OF PAYMENTS STATISTICS

Current account BALANCE in EUR billion 3.5 2.3 2.1 2.1

- as a % of GDP 7.4 4.6 4.0 3.8

PRICES AND EFFECTIVE EXCHANGE RATE

Inflation (Dec/Dec), in % -1.1 2.5 1.9 2.0

Inflation (annual average), in % -0.1 1.4 2.0 1.9

Real effective exchange rate deflated by unit labour costs 3.5 0.1 -1.7 -0.5

ASSUMPTIONS

Foreign demand (imports of trading partners), real growth in % -8.9 9.2 6.8 4.1

GDP in the euro area, real growth in % -6.3 5.1 4.4 2.1

Brent Crude oil price in USD/barrel 41.8 68.1 67.3 64.0

Non-energy commodity prices in USD, growth 3.6 35.0 -1.0 -7.0

USD/EUR exchange rate 1.141 1.193 1.180 1.180

Source: IMAD (Institute of Macroeconomic Analysis and Development of the Republic of Slovenia), Autumn Forecast of Economic Trends, September 2021. Year 2020 SURS, BoS, ECB, EIA, 2021-2023 IMAD forecasts.

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b) Production and foreign trade

Product Unit Historical data Estimate Forecast

2019 2020 2021 2022

Sawlogs and veneer logs, coniferous

Production 1000 m3 2123 1624 1200 1300

Imports 1000 m3 113 367 350 320

Exports 1000 m3 769 523 290 320

Apparent consumption 1000 m3 1467 1467 1260 1300

Sawlogs and veneer logs, non-coniferous

Production 1000 m3 352 348 400 400

Imports 1000 m3 30 32 43 43

Exports 1000 m3 147 145 180 200

Apparent consumption 1000 m3 235 235 263 243

of which, tropical logs

Imports 1000 m3 1 1 1 1

Exports 1000 m3 0 0 0 0

Net Trade 1000 m3 1 0 1 1

Pulpwood (round and split), coniferous

Production 1000 m3 492 346 230 280

Imports 1000 m3 231 230 310 280

Exports 1000 m3 399 298 230 230

Apparent consumption 1000 m3 324 278 310 330

Pulpwood (round and split), non-coniferous

Production 1000 m3 470 450 490 440

Imports 1000 m3 82 88 130 90

Exports 1000 m3 399 392 480 430

Apparent consumption 1000 m3 153 146 140 100

Wood chips, particles and residues

Domestic supply 1000 m3 1330 1080 1150 1200

Imports 1000 m3 186 176 260 200

Exports 1000 m3 963 847 950 950

Apparent consumption 1000 m3 553 409 460 450

Other industrial roundwood, coniferous

Production 1000 m3 20 15 15 15

Other industrial roundwood, non-coniferous

Production 1000 m3 44 35 48 41

Wood fuel, coniferous

Production 1000 m3 147 121 120 120

Wood fuel, non-coniferous

Production 1000 m3 970 952 950 950

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Product Unit Historical data Estimate Forecast

2019 2020 2021 2022

Sawnwood, coniferous

Production 1000 m3 819 877 717 729

Imports 1000 m3 745 657 670 690

Exports 1000 m3 962 830 995 980

Apparent consumption 1000 m3 602 704 392 439

Sawnwood, non-coniferous

Production 1000 m3 125 125 141 141

Imports 1000 m3 106 98 100 100

Exports 1000 m3 115 102 105 105

Apparent consumption 1000 m3 117 121 136 136

of which, tropical sawnwood

Production 1000 m3 0 0 0 0

Imports 1000 m3 2 2 2 2

Exports 1000 m3 1 0 0 1

Apparent consumption 1000 m3 1 2 1 2

Veneer sheets

Production 1000 m3 18 19 18 18

Imports 1000 m3 14 12 14 14

Exports 1000 m3 23 22 29 27

Apparent consumption 1000 m3 9 10 3 5

of which, tropical veneer sheets

Production 1000 m3 1 1 1 1

Imports 1000 m3 0 0 0 0

Exports 1000 m3 1 1 1 1

Apparent consumption 1000 m3 1 0 0 0

Plywood

Production 1000 m3 103 95 109 120

Imports 1000 m3 47 45 64 60

Exports 1000 m3 73 78 90 90

Apparent consumption 1000 m3 78 61 83 90

of which, tropical plywood

Production 1000 m3 0 0 0 0

Imports 1000 m3 14 16 22 20

Exports 1000 m3 0 0 1 0

Apparent consumption 1000 m3 13 16 22 20

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Product Unit Historical data Estimate Forecast

2018 2019 2020 2021

Particle board (including OSB)

Production 1000 m3 0 0 0 0

Imports 1000 m3 186 182 210 200

Exports 1000 m3 6 5 8 6

Apparent consumption 1000 m3 180 177 202 195

of which, OSB

Production 1000 m3 0 0 0 0

Imports 1000 m3 31 35 42 40

Exports 1000 m3 1 1 3 2

Apparent consumption 1000 m3 29 34 39 38

Fibreboard

Production 1000 m3 130 118 128 128

Imports 1000 m3 53 49 71 60

Exports 1000 m3 159 144 176 165

Apparent consumption 1000 m3 24 23 23 23

Hardboard

Production 1000 m3 0 0 0 0

Imports 1000 m3 9 9 9 9

Exports 1000 m3 9 8 7 7

Apparent consumption 1000 m3 0 1 2 2

MDF (Medium density)

Production 1000 m3 130 118 128 128

Imports 1000 m3 36 32 54 43

Exports 1000 m3 148 132 166 155

Apparent consumption 1000 m3 18 17 16 16

Other fibreboard

Production 1000 m3 0 0 0 0

Imports 1000 m3 8 8 8 8

Exports 1000 m3 2 3 3 3

Apparent consumption 1000 m3 6 5 5 5

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Product Unit Historical data Estimate Forecast

2019 2020 2021 2022

Wood pulp

Production 1000 m.t. 92 91 83 85

Imports 1000 m.t. 237 289 275 270

Exports 1000 m.t. 8 13 5 8

Apparent consumption 1000 m.t. 321 367 353 347

Paper & paperboard

Production 1000 m.t. 719 706 650 600

Imports 1000 m.t. 713 757 710 710

Exports 1000 m.t. 642 630 630 630

Apparent consumption 1000 m.t. 790 832 730 680

Wood pellets

Production 1000 m.t. 134 148 160 165

Imports 1000 m.t. 229 257 215 230

Exports 1000 m.t. 209 198 210 220

Apparent consumption 1000 m.t. 155 207 165 175

Forest Landscape Restoration in Eastern and South-East Europe

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