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Uzbekistan

Uzbekistan's accession to the Protocol on Water and Health opens new opportunities for stronger action on water, sanitation, hygiene and health

Uzbekistan has joined to the UNECE-WHO/Europe Protocol on Water and Health, thereby becoming its 29th Party and the first country in Central Asia to join this treaty. Accession to the Protocol is expected to serve as a catalyst to further drive and streamline national action on water, sanitation, hygiene and health with the aim of ensuring access and protecting the growing population of Uzbekistan against water-borne disease and in a changing climate. 

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

UNECE and partners support seven countries of Eastern Europe, Central Asia and the Caucasus to transform construction sector for climate goals

As countries seek to rapidly decarbonize their economies, investing in energy efficiency and the improved performance of buildings offers significant near term gains. Available measures can help transform the building and construction sector, which today is responsible for approximately 40% of energy- and process-related greenhouse gas emissions worldwide.   

JQ2022UZB

JFSQ2022 Country Replies Uzbekistan

Languages and translations
English

Cover

Joint Forest Sector Questionnaire
2022
DATA INPUT FILE
Correspondent country: Uzbekistan
Reference year: 2022 Fill in the year
Name of person responsible for reply:
Official address (in full): 100170, Tashkent City, Mustakillik Avenue, 63
Telephone:
Fax:
E-mail:

Manual

The UNECE manual for the JFSQ for 2022 data is available on the UNECE website:
https://unece.org/forestry-timber/documents/2023/04/informal-documents/jfsq-2022-data-manual
The definitions for the JFSQ for 2022 data are available on the UNECE website:
https://unece.org/forestry-timber/documents/2023/04/informal-documents/jfsq-2022-data-definitions
https://unece.org/forestry-timber/documents/2023/04/informal-documents/jfsq-2022-data-definitions https://unece.org/forestry-timber/documents/2023/04/informal-documents/jfsq-2022-data-manual

conversion factors

JFSQ
JOINT FOREST SECTOR QUESTIONNAIRE
Conversion Factors
NOTE THESE ARE ONLY GENERAL FACTORS. IT WOULD BE PREFERABLE TO USE SPECIES- OR COUNTRY-SPECIFIC FACTORS
Multiply the quantity expressed in units on the right side of "per" with the factor to get the value expressed in units on left side of "per".
Items in BOLD RED text were added to the JFSQ in February 2023
Product Code Product JFSQ Quantity Unit Results from UNECE/FAO/ITTO 2020 publication "Forest Product Conversion Factors" UNECE/FAO Engineered Wood Products Questionnaire (last revised 2020) Results from UNECE/FAO 2009 Conversion Factors Questionnaire (median) FAO and UNECE Statistical Publications (Pre-2009)
volume to weight volume/weight of finished product to volume of roundwood Notes to Results volume to weight Notes to Results volume to weight volume/weight of finished product to volume of roundwood Notes to Results volume to weight volume to area volume/weight of finished product to volume of roundwood
m3 per MT m3 per MT m3 per MT Roundwood equivalent Roundwood equivalent Roundwood equivalent m3 per MT m3 per MT Roundwood equivalent m3 per MT m3 per m2 Roundwood
equivalent
Europe NA** EECCA** Europe NA** EECCA**
1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3 ub
1.1 WOOD FUEL, INCLUDING WOOD FOR CHARCOAL 1000 m3 ub 1.38
1.1.C Coniferous 1000 m3 ub 1.64 typical shipping weight Green = 1.12 Based on 891 kg/m3 green, basic density of .41, and 20% moisture seasoned 1.60
1000 m3 ub Seasoned = 1.82 Based on 407 kg/m3 dry, assuming 20% moisture
1.1.NC Non-Coniferous 1000 m3 ub 1.11 typical shipping weight Green=1.05 Based on 1137 kg/m3 green, specific gravity of .55, and 20% moisture seasoned 1.33
1000 m3 ub Seasoned=1.43
1.2 INDUSTRIAL ROUNDWOOD 1000 m3 ub
1.2.C Coniferous 1000 m3 ub 1.11 1.08 1.27 Averaged pulp and log 1.10 Based on 50/50 ratio of share of logs/pulpwood in industrial roundwood
1.2.C.Fir Fir (and Spruce) 1000 m3 ub 1.21 Austrian Energy Agency, 2009. weighted by share of standing inventory of European speices (57% spruce, 10% silver fir and remaining species)
1.2.C.Pine Pine 1000 m3 ub 1.08 Austrian Energy Agency, 2009, weighted 25% Scots Pine, 2% maritime pine, 2% black pine and remaining species
1.2.NC Non-Coniferous 1000 m3 ub 0.98 1.02 1.15 0.91 Based on 50/50 ratio of share of logs/pulpwood in industrial roundwood
1.2.NC.T of which:Tropical 1000 m3 ub AFRICA=1.31, ASIA=0.956, LA. AM= 0.847, World=1.12 Source: Fonseca "Measurement of Roundwood" 2005, ITTO Annual Review 2007, table 3-2-a Species weight averaged using m3/tonne from Fonseca 2005 and volume exported by species from each region as shown in ITTO 2007 (assumes that bark is removed) 1.37
1.2.1 SAWLOGS AND VENEER LOGS 1000 m3 ub 1.04 0.96 1.12 Averaged C & NC 1.05 Based on 950 kg/m3 green. Bark is included in weight but not in volume.
1.2.1.C Coniferous 1000 m3 ub 1.10 1.00 1.19 1.07 Based on 935 kg/m3 green. Bark is included in weight but not in volume. 1.43
1.2.1.NC Non-Coniferous 1000 m3 ub 0.97 0.92 1.04 0.91 Based on 1093 kg/m3 green. Bark is included in weight but not in volume. 1.25
1.2.NC.Beech Beech 1000 m3 ub 0.92 Austrian Energy Agency, 2009
1.2.NC.Birch Birch 1000 m3 ub 0.88 Austrian Energy Agency, 2009
1.2.NC.Eucalyptus Eucalyptus 1000 m3 ub 0.77 ATIBT, 1982
1.2.NC.Oak Oak 1000 m3 ub 0.88 Austrian Energy Agency, 2009
1.2.NC.Poplar Poplar 1000 m3 ub 1.06 Austrian Energy Agency, 2009
1.2.2 PULPWOOD (ROUND & SPLIT) 1000 m3 ub 1.05 1.14 1.30 Averaged C & NC 1.08 Based on 930 kg/m3 green. Bark is included in weight but not in volume. 1.48
1.2.2.C Coniferous 1000 m3 ub 1.11 1.16 1.35 1.12 Based on 891 kg/m3 green. Bark is included in weight but not in volume. 1.54
1.2.2.NC Non-Coniferous 1000 m3 ub 0.98 1.11 1.25 0.91 Based on 1095 kg/m3 green. Bark is included in weight but not in volume. 1.33
1.2.3 OTHER INDUSTRIAL ROUNDWOOD 1000 m3 ub 1.07 1.33
1.2.3.C Coniferous 1000 m3 ub 1.11 1.16 1.35 used pulpwood data 1.12 same as 1.2.2.C 1.43
1.2.3.NC Non-Coniferous 1000 m3 ub 0.98 1.11 1.25 0.91 same as 1.2.2.NC 1.25
2 WOOD CHARCOAL 1000 MT 6 m3rw/tonne 5.35 Does not include the use of any of the wood fiber to generate the heat to make (add about 30% if inputted wood fiber used to provide heat) 6.00
3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3
3.1 WOOD CHIPS AND PARTICLES 1000 m3 1.205 1.07 1.21 1.08 m3 /MT = green swe per odmt / avg delivered tonne/odmt, rwe= +1% softwood=1.19 1.205 Based on swe/odmt of 2.41 and avg delivered mt / odmt of 2.0 in solid m3 1.60
1000 m3 hardwood = 1.05 1.123 Based on swe/odmt of 2.01 and avg delivered mt / odmt of 1.79 in solid m3
1000 m3 Woodchip, Green swe to oven-dry tonne m3/odmt mix = 1.15
3.2 WOOD RESIDUES 1000 m3 1.205 1.07 1.21 1.08 Based on wood chips Green=1.15 Based on wood chips 1.50
1000 m3 2.12 2.07 Seasoned = 2.12 2.07 Assumption for seasoned is based on average basic density of .42 from questionnaire and assumes 15% moisture content
3.2.1 of which: SAWDUST 1000 m3 1.205 1.07 1.21 1.08 Based on wood chips
4 RECOVERED POST-CONSUMER WOOD 1000 mt Delivered MT (12-20% atmospheric moisture). Convert to dry weight for energy purposes (multiply by 0.88 - 0.80)
5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 MT
5.1 WOOD PELLETS 1000 MT 1.54 1.45 1.54 1.51 1.44 nodata m3/ton - bulk density, loose volume, 5-10% mcw- Equivalent - solid wood imput to bulk m3 pellets 1.51 1.44 Bulk (loose) volume, 5-10% moisture
5.2 OTHER AGGLOMERATES 1000 MT 1.12 nodata nodata 2.32 nodata nodata m3/ton - Pressed logs and briquettes, bulk density, loose volume. Equivalent - m3rw/odmt 1.31 2.29 roundwood equivalent is m3rw/odmt, volume to weight is bulk (loose volume)
6 SAWNWOOD 1000 m3 1.6 / 1.82*
6.C Coniferous 1000 m3 1.202 1.69 1.62 1.85 m3/ton - Average Sawnwood shipping weight. Equivalent - Sawnwood green rough Green=1.202 RoughGreen=1.67 Green sawnwood based on basic density of .94, less bark (11%) 1.82
1000 m3 1.82 1.72 Nodata 2 1.69 2.05 Sawnwood dry rough Dry = 1.99 RoughDry=1.99 Dry sawnwood weight based on basic density of .42, 4% shrinkage and 15% moisture content
1000 m3 2.26 2.08 nodata Sawnwood dry planed PlanedDry=2.13
6.C.Fir Fir and Spruce 1000 m3 2.16 Austrian Energy Agency, 2009. Dried weight (15% moisture content dry weight). Weighted ratio of standing inventory.
6.C.Pine Pine 1000 m3 1.72 Austrian Energy Agency, 2009. Dried weight (15% moisture content dry weight). Weighted ratio of standing inventory.
6.NC Non-Coniferous 1000 m3 1.04 1.89 1.79 nodata Sawnwood green rough Green=1.04 RoughGreen=1.86 Green sawnwood based on basic density of 1.09, less bark (12%) 1.43
1000 m3 1.43 nodata nodata 2.01 1.92 nodata m3/ton - Average Sawnwood shipping weight. Equivalent - Sawnwood green rough Seasoned=1.50 RoughDry=2.01 Dry sawnwood weight based on basic density of .55, 5% shrinkage and 15% moisture content
1000 m3 3.25 3.38 nodata Sawnwood dry planed PlanedDry=2.81
6.NC.Ash Ash 1000 m3 1.47 Wood Database (wood-database.com). Air-dry.
6.NC.Beech Beech 1000 m3 1.42 Austrian Energy Agency, 2009. Dried weight (15% moisture content dry weight).
6.NC.Birch Birch 1000 m3 1.47 Austrian Energy Agency, 2009. Dried weight (15% moisture content dry weight).
6.NC.Cherry Cherry 1000 m3 1.62 Giordano, 1976, Tecnologia del legno. Air-dry. Prunus avium.
6.NC.Maple Maple 1000 m3 1.35 Giordano, 1976, Tecnologia del legno. Air-dry
6.NC.Oak Oak 1000 m3 1.38 Austrian Energy Agency, 2009. Dried weight (15% moisture content dry weight).
6.NC.Poplar Poplar 1000 m3 2.29 Austrian Energy Agency, 2009. Dried weight (15% moisture content dry weight).
6.NC.T of which:Tropical 1000 m3 1.38 Based on FP Conversion Factors (2019), Asia (720 kg / m3)
7 VENEER SHEETS 1000 m3 1.33 0.0025 1.9*
7.C Coniferous 1000 m3 1.05 1.95 1.5 Green veneer based on the ratio from the old conversion factors Green=1.20 1.5*** Green veneer based on basic density of .94, less bark (11%) 0.003
1000 m3 1.8 nodata nodata 2.08 1.6 nodata m3/ton - Average panel shipping weight; Roundwood equivalent - m3rw = cubic metre roundwood, m3p = cubic metre product Seasoned=2.06 1.6*** Dry veneer weight based on basic density of .42, 9% shrinkage and 5% moisture content
7.NC Non-Coniferous 1000 m3 1.15 nodata nodata 2.11 1.89 Green veneer based on the ratio from the old conversion factors Green=1.04 1.5*** Green veneer based on basic density of 1.09, less bark (11%) 0.001
1000 m3 1.7 nodata nodata 2.25 2 nodata m3/ton - Average panel shipping weight; Roundwood equivalent - m3rw = cubic metre roundwood, m3p = cubic metre product Seasoned=1.53 1.6*** Dry veneer weight based on basic density of .55, 11.5% shrinkage and 5% moisture content
7.NC.T of which:Tropical 1000 m3
8 WOOD-BASED PANELS 1000 m3 1.6
8.1 PLYWOOD 1000 m3 1.54 0.105 2.3*
8,1.C Coniferous 1000 m3 1.67 Nodata Nodata 2.16 1.92 nodata 1.69 2.12 dried, sanded, peeled 0.0165***
8.1.NC Non-Coniferous 1000 m3 1.54 Nodata Nodata 2.54 2.14 nodata 1.54 1.92 dried, sanded, sliced 0.0215***
8.1.NC.T of which:Tropical 1000 m3
8.1.1 of which: LAMINATED VENEER LUMBER 1000 m3 1.69 Same as coniferous plywood
8.1.1.C Coniferous 1000 m3 1.69 Same as coniferous plywood
8.1.1.NC Non-Coniferous 1000 m3 no data
8.1.1.NC.T of which:Tropical 1000 m3 no data
8.2 PARTICLE BOARD (including OSB) 1000 m3 1.54
8.2x PARTICLE BOARD (excluding OSB) 1000 m3 1.54 Nodata Nodata 1.51 1.54 nodata m3/ton - Based on Product based density; Roundwood equivalent - m3rw = cubic metre roundwood, m3p = cubic metre product. 1.53 1.50 0.018***
8.2.1 of which: OSB 1000 m3 1.64 Nodata Nodata 1.72 1.63 nodata m3/ton - Based on Product based density; Roundwood equivalent - m3rw = cubic metre roundwood, m3p = cubic metre product. 1.67 1.63 0.018***
8.3 FIBREBOARD 1000 m3 nodata nodata nodata m3/ton - Based on Product based density; Roundwood equivalent - m3rw = cubic metre roundwood, m3p = cubic metre product.
8.3.1 HARDBOARD 1000 m3 1.06 Nodata Nodata 2.2 1.77 nodata m3/ton - Based on Product based density; Roundwood equivalent - m3rw = cubic metre roundwood, m3p = cubic metre product. 1.06 1.93 solid wood per m3 of product 1.05 0.005
Alex McCusker: Alex McCusker: 0.003 per Conversion Factors Study
8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 1.35 Nodata Nodata 1.80 1.53 nodata m3/ton - Based on Product based density; Roundwood equivalent - m3rw = cubic metre roundwood, m3p = cubic metre product. 1.37 1.70 solid wood per m3 of product 2.00 0.016
8.3.3 OTHER FIBREBOARD 1000 m3 3.85 Nodata Nodata 0.68 0.71 nodata m3/ton - Based on Product based density; Roundwood equivalent - m3rw = cubic metre roundwood, m3p = cubic metre product. 3.44 0.71 solid wood per m3 of product, mostly insulating board 4.00 0.025
9 WOOD PULP 1000 MT 3.7 nodata 3.76 m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis) 3.86 3.37
9.1 MECHANICAL AND SEMI-CHEMICAL 1000 MT 2.59 2.45 2.94 m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis) 2.60 air-dried metric ton (mechanical 2.50, semi-chemical 2.70)
9..2 CHEMICAL 1000 MT 4.80 4.29 4.10 m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis) 4.90
9.2.1 SULPHATE 1000 MT 4.50 nodata 4.60 m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis) 4.57 air-dried metric ton (unbleached 4.63, bleached 4.50)
9.2.1.1 of which: bleached 1000 MT 4.50 nodata 4.90 m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis) 4.50 air-dried metric ton
9.2.2 SULPHITE 1000 MT 4.73 nodata 4.15 m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis) 4.83 air-dried metric ton (unbleached 4.64 and bleached 5.01)
9.3 DISSOLVING GRADES 1000 MT 4.46 nodata nodata m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis) 5.65 air-dried metric ton
10 OTHER PULP 1000 MT nodata nodata nodata m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis)
10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 MT nodata nodata nodata m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis)
10.2 RECOVERED FIBRE PULP 1000 MT nodata nodata nodata m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis)
11 RECOVERED PAPER 1000 MT nodata nodata nodata m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis) 1.28 MT in per MT out
12 PAPER AND PAPERBOARD 1000 MT 3.85 nodata 4.15 m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis) 3.6 3.37
12.1 GRAPHIC PAPERS 1000 MT nodata nodata nodata
12.1.1 NEWSPRINT 1000 MT 2.80 2.50 3.15 m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis) 2.80 air-dried metric ton
12.1.2 UNCOATED MECHANICAL 1000 MT 3.50 nodata 4.00 3.50 air-dried metric ton
12.1.3 UNCOATED WOODFREE 1000 MT nodata nodata nodata
12.1.4 COATED PAPERS 1000 MT 3.50 nodata 4.00 m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis) 3.95 air-dried metric ton
12.2 SANITARY AND HOUSEHOLD PAPERS 1000 MT 4.60 nodata 4.20 m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis) 4.90 air-dried metric ton
12.3 PACKAGING MATERIALS 1000 MT 3.25 nodata 4.30 m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis) 3.25 air-dried metric ton
12.3.1 CASE MATERIALS 1000 MT 4.20 nodata 4.00 m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis) 4.20 air-dried metric ton
12.3.2 CARTONBOARD 1000 MT 4.00 nodata 4.30 m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis) 4.00 air-dried metric ton
12.3.3 WRAPPING PAPERS 1000 MT 4.10 nodata 4.40 m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis) 4.10 air-dried metric ton
12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 MT 4.00 nodata 3.30 m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis) 4.00 air-dried metric ton
12.4 OTHER PAPER AND PAPERBOARD N.E.S 1000 MT 3.48 nodata 3.30 m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis) 3.48 air-dried metric ton
15 GLULAM AND CROSS-LAMINATED TIMBER 1000 m3
15.1 GLULAM 1000 m3 1.69 same as coniferous plywood
15.2 CROSS-LAMINATED TIMBER 1000 m3 2.00
16 I-BEAMS 1000 MT 1.68 222 linear meters per MT
For inverse relationships divide 1 by the factor given, e.g. to convert m3 of wood charcoal to mt divide 1 by m3/mt factor of 6 = 0.167
Notes: Forest Measures
MT = metric tonnes (1000 kg) Unit m3/unit
m3 = cubic meters (solid volume) 1000 board feet (sawlogs) 4.53**** **** = obsolete - more recent figures would be:
m2 = square meters 1000 board feet (sawnwood - nominal) 2.36 for Oregon, Washington State, Alaska (west of Cascades), South East United States (Doyle region): 6.3
(s) = solid volume 1000 board feet (sawnwood - actual) 1.69 Inland Western North America, Great Lakes (North America), Eastern Canada: 5.7
1000 square feet (1/8 inch thickness) 0.295 Northeast United States Int 1/4": 5
Unit Conversion cord 3.625
1 inch = 25.4 millimetres cord (pulpwood) 2.55
1 square foot = 0.0929 square metre cord (wood fuel) 2.12
1 pound = 0.454 kilograms cubic foot 0.02832
1 short ton (2000 pounds) = 0.9072 metric ton cubic foot (stacked) 0.01841
1 long ton (2240 pounds) = 1.016 metric ton cunit 2.83
Bold = FAO published figure fathom 6.1164
hoppus cubic foot 0.0222
* = ITTO hoppus super(ficial) foot 0.00185
hoppus ton (50 hoppus cubic feet) 1.11
** NA = North America; EECCA = Eastern Europe, Caucasus and Central Asia Petrograd Standard 4.672
stere 1
*** = Conversion Factor Study, US figures, rotary for conifer and sliced for non-conifer stere (pulpwood) 0.72
stere (wood fuel) 0.65
Fonseca "Measurement of Roundwood" 2005. Estimated by Matt Fonseca based on regional knowledge of the scaling methods and timber types
prepared February 2004
updated 2007 with RWE factors
updated 2009 with provisional results of forest products conversion factors study
updated 2011 with results of forest products conversion factors study (DP49)
updated 2023 with results of 2019 UNECE/FAO/ITTO study - https://www.fao.org/documents/card/en/c/ca7952en

JQ1 Production

Country: Uzbekistan Date: 06.07.2023
Name of Official responsible for reply:
Official Address (in full): Tashkent City, Mustakillik Avenue, 63
FOREST SECTOR QUESTIONNAIRE JQ1
Industrial Roundwood Balance
PRIMARY PRODUCTS Telephone: This table highlights discrepancies between items and sub-items. Please verify your data if there's an error! Discrepancies
Removals and Production E-mail: test for good numbers, missing number, bad number, negative number
Flag Flag Note Note
Product Product Unit 2021 2022* 2021 2022* 2021 2022* Product Product Unit 2021 2022* 2021 2022* % 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		 259,210 121,736 -53% m3 of wood in m3 or t of product
ALL REMOVALS OF ROUNDWOOD (WOOD IN THE ROUGH) ALL REMOVALS OF ROUNDWOOD (WOOD IN THE ROUGH) Recovered wood used in particle board 87 88 2% Solid wood equivalent
1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub 1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub 0 0 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 0 0 Sawnwood production 23 195 744% 1
1.1.C Coniferous 1000 m3ub 1.1.C Coniferous 1000 m3ub veneer production 3 3 -2% 1
1.1.NC Non-Coniferous 1000 m3ub 1.1.NC Non-Coniferous 1000 m3ub plywood production 3 0 -97% 1
1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 0 0 particle board production (incl OSB) 248 252 2% 1.58
1.2.C Coniferous 1000 m3ub 1.2.C Coniferous 1000 m3ub 0 0 fibreboard production 45 47 4% 1.8
1.2.NC Non-Coniferous 1000 m3ub 1.2.NC Non-Coniferous 1000 m3ub 0 0 mechanical/semi-chemical pulp production 1 1 -23% 2.5
1.2.NC.T of which: Tropical 1000 m3ub 1.2.NC.T of which: Tropical 1000 m3ub chemical pulp production 0 0 -100% 4.9
1.2.1 SAWLOGS AND VENEER LOGS 1000 m3ub 1.2.1 SAWLOGS AND VENEER LOGS 1000 m3ub 0 0 dissolving pulp production 0 0 missing data 5.7
1.2.1.C Coniferous 1000 m3ub 1.2.1.C Coniferous 1000 m3ub Availability Solid Wood Demand 505 683 35%
1.2.1.NC Non-Coniferous 1000 m3ub 1.2.1.NC Non-Coniferous 1000 m3ub Difference (roundwood-demand) 254,903 119,315 -53% 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 0 0 gap (demand/availability) 100% 99% 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 0 0
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 0.485 1.191 2 WOOD CHARCOAL 1000 t
3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 0.019 0.036 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 0 0
3.1 WOOD CHIPS AND PARTICLES 1000 m3 0.019 0.036 3.1 WOOD CHIPS AND PARTICLES 1000 m3
3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 0.0 0.0 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3
3.2.1 of which: Sawdust 1000 m3 0.0 0.0 3.2.1 of which: Sawdust 1000 m3
4 RECOVERED POST-CONSUMER WOOD 1000 t 0.056 0.076 4 RECOVERED POST-CONSUMER WOOD 1000 t
5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t 0.0 0.0 5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t 0 0
5.1 WOOD PELLETS 1000 t 0.0 0.0 5.1 WOOD PELLETS 1000 t
5.2 OTHER AGGLOMERATES 1000 t 0.0 0.0 5.2 OTHER AGGLOMERATES 1000 t
6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 23.119 195.239 6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 0 0
6.C Coniferous 1000 m3 0.0 0.0 6.C Coniferous 1000 m3
6.NC Non-Coniferous 1000 m3 23.119 195.239 6.NC Non-Coniferous 1000 m3
6.NC.T of which: Tropical 1000 m3 0.0 0.0 6.NC.T of which: Tropical 1000 m3
7 VENEER SHEETS 1000 m3 2.780 2.714 7 VENEER SHEETS 1000 m3 0 0
7.C Coniferous 1000 m3 0.0 0.0 7.C Coniferous 1000 m3
7.NC Non-Coniferous 1000 m3 2.780 2.714 7.NC Non-Coniferous 1000 m3
7.NC.T of which: Tropical 1000 m3 0.0 0.0 7.NC.T of which: Tropical 1000 m3
8 WOOD-BASED PANELS 1000 m3 296.574 299.381 8 WOOD-BASED PANELS 1000 m3 0 0
8.1 PLYWOOD 1000 m3 3.175 0.088 8.1 PLYWOOD 1000 m3 0 0
8.1.C Coniferous 1000 m3 0.0 0.0 8.1.C Coniferous 1000 m3
8.1.NC Non-Coniferous 1000 m3 3.175 0.088 8.1.NC Non-Coniferous 1000 m3
8.1.NC.T of which: Tropical 1000 m3 0.00 0.00 8.1.NC.T of which: Tropical 1000 m3
8.1.1 of which: Laminated Veneer Lumber (LVL) 1000 m3 0.00 0.00 8.1.1 of which: Laminated Veneer Lumber (LVL) 1000 m3 0 0
8.1.1.C Coniferous 1000 m3 0.00 0.00 8.1.1.C Coniferous 1000 m3
8.1.1.NC Non-Coniferous 1000 m3 0.00 0.00 8.1.1.NC Non-Coniferous 1000 m3
8.1.1.NC.T of which: Tropical 1000 m3 0.00 0.00 8.1.1.NC.T of which: Tropical 1000 m3
8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD 1000 m3 247.943 252.100 8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD 1000 m3
8.2.1 of which: ORIENTED STRAND BOARD (OSB) 1000 m3 0.0 0.0 8.2.1 of which: ORIENTED STRAND BOARD (OSB) 1000 m3
8.3 FIBREBOARD 1000 m3 45.456 47.193 8.3 FIBREBOARD 1000 m3 0 0
8.3.1 HARDBOARD 1000 m3 0.0 0.0 8.3.1 HARDBOARD 1000 m3
8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 35.956 45.628 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3
8.3.3 OTHER FIBREBOARD 1000 m3 9.500 1.565 8.3.3 OTHER FIBREBOARD 1000 m3
9 WOOD PULP 1000 t 1.128 0.874 9 WOOD PULP 1000 t -0 0
9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t 1.128 0.874 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t
9.2 CHEMICAL WOOD PULP 1000 t 0.0004 0.000 9.2 CHEMICAL WOOD PULP 1000 t 0 0
9.2.1 SULPHATE PULP 1000 t 0.00001 0.000 9.2.1 SULPHATE PULP 1000 t
9.2.1.1 of which: BLEACHED 1000 t 0.0 0.0 9.2.1.1 of which: BLEACHED 1000 t
9.2.2 SULPHITE PULP 1000 t 0.0004 0.000 9.2.2 SULPHITE PULP 1000 t
9.3 DISSOLVING GRADES 1000 t 0.0 0.0 9.3 DISSOLVING GRADES 1000 t
10 OTHER PULP 1000 t 25.736 14.968 10 OTHER PULP 1000 t 0 -0
10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t 25.736 14.968 10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t
10.2 RECOVERED FIBRE PULP 1000 t 0.0 0.0 10.2 RECOVERED FIBRE PULP 1000 t
11 RECOVERED PAPER 1000 t 0.596 9.758 11 RECOVERED PAPER 1000 t
12 PAPER AND PAPERBOARD 1000 t 76.345 125.438 12 PAPER AND PAPERBOARD 1000 t 0 0
12.1 GRAPHIC PAPERS 1000 t 3.279 1.434 12.1 GRAPHIC PAPERS 1000 t 0 0
12.1.1 NEWSPRINT 1000 t 0.280 0.441 12.1.1 NEWSPRINT 1000 t
12.1.2 UNCOATED MECHANICAL 1000 t 0.830 0.000 12.1.2 UNCOATED MECHANICAL 1000 t
12.1.3 UNCOATED WOODFREE 1000 t 0.565 0.771 12.1.3 UNCOATED WOODFREE 1000 t
12.1.4 COATED PAPERS 1000 t 1.604 0.222 12.1.4 COATED PAPERS 1000 t
12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t 6.202 15.722 12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t
12.3 PACKAGING MATERIALS 1000 t 44.382 87.205 12.3 PACKAGING MATERIALS 1000 t 0 59
12.3.1 CASE MATERIALS 1000 t 32.210 58.880 12.3.1 CASE MATERIALS 1000 t
12.3.2 CARTONBOARD 1000 t 0.077 0.138 12.3.2 CARTONBOARD 1000 t
12.3.3 WRAPPING PAPERS 1000 t 12.095 28.188 12.3.3 WRAPPING PAPERS 1000 t
12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t 0.000 0.000 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t
12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 t 22.482 21.076 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 t
15 GLULAM AND CROSS-LAMINATED TIMBER (CLT or X-LAM)1 1000 m3 0.000 0.000 15 GLULAM AND CROSS-LAMINATED TIMBER (CLT or X-LAM)1 1000 m3 0 0
15.1 GLULAM 1000 m3 0.000 0.000 15.1 GLULAM 1000 m3
15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) 1000 m3 0.000 0.000 15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) 1000 m3
16 I BEAMS (I-JOISTS)1 1000 t 0.000 0.000 16 I BEAMS (I-JOISTS)1 1000 t
1 Glulam, CLT and I Beams are classified as secondary wood products but for ease of reporting are included here
m3ub = cubic metres solid volume underbark (i.e. excluding bark) Please complete each cell if possible with
m3 = cubic metres solid volume data (numerical value)
t = metric tonnes or "…" for not available
or "0" for zero data
Note:
* data for 2022-preliminary
** data line 9 and line 9.1 for 2021 have been updated in connection with the clarification of data by the enterprise
https://www.fao.org/3/cb8216en/cb8216en.pdf

JQ2 Trade

61 62 61 62 91 92 91 92
FOREST SECTOR QUESTIONNAIRE JQ2 Country: Uzbekistan Date: 22.06.2023
Name of Official responsible for reply: INTRA-EU The difference might be caused by Intra-EU trade
PRIMARY PRODUCTS Official Address (in full): Tashkent City, Mustakillik Avenue, 63 This table highlights discrepancies between production and trade. For any negative number, indicating greater net exports than production, please verify your data! CHECK
Trade Telephone: Fax: This table highlights discrepancies between items and sub-items. Please verify your data if there's an error! ZERO CHECK 2 - if no value in Zero Check 1
E-mail: Country: Uzbekistan 0 verifies whether the JQ2 figures refers only to intra-EU trade
Specify Currency and Unit of Value (e.g.:1000 USD): thousand US dollars Flag Flag Flag Flag Flag Flag Flag Flag Note Note Note Note Note Note Note Note Trade Discrepancies
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
code Product quantity 2021 2022 2021 2022 2021 2022 2021 2022 2021 2022 2021 2022 code 2021 2022 2021 2022 code 2021 2022 2021 2022 code Product unit 2021 2022 2021 2022
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) 1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub -259,494 -13,234 -121,946 -13,524 -195 -25 -188 -12 1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub 0 0 1 ROUNDWOOD (WOOD IN THE ROUGH) NAC/m3
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) tons 99.6 2.7 22.0 0.7 11.2 9.0 0.0 0.0 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub 0 0 0 0 0 0 0 0 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub 88 22 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) NAC/m3
1.1.C Coniferous tons 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.1.C Coniferous 1000 m3ub 1.1.C Coniferous 1000 m3ub 0 0 1.1.C Coniferous NAC/m3
1.1.NC Non-Coniferous tons 99.6 2.7 22.0 0.7 11.2 9.0 0.0 0.0 1.1.NC Non-Coniferous 1000 m3ub 1.1.NC Non-Coniferous 1000 m3ub 88 22 1.1.NC Non-Coniferous NAC/m3
1.2 INDUSTRIAL ROUNDWOOD cubic meters 259,394.2 13,231.5 121,924.3 13,523.7 183.9 16.3 188.2 12.5 1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 0 0 0 0 0 0 0 0 1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 259,210 121,736 1.2 INDUSTRIAL ROUNDWOOD NAC/m3
1.2.C Coniferous cubic meters 227,474.0 11,250.3 61,993.2 7,457.6 154.0 8.3 188.2 12.5 1.2.C Coniferous 1000 m3ub 1.2.C Coniferous 1000 m3ub 227,320 61,805 1.2.C Coniferous NAC/m3
1.2.NC Non-Coniferous cubic meters 31,920.1 1,981.2 59,931.2 6,066.1 29.8 8.0 0.0 0.0 1.2.NC Non-Coniferous 1000 m3ub 1.2.NC Non-Coniferous 1000 m3ub 31,890 59,931 1.2.NC Non-Coniferous NAC/mt
1.2.NC.T of which: Tropical1 cubic meters 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.2.NC.T of which: Tropical1 1000 m3ub 1.2.NC.T of which: Tropical1 1000 m3ub 0 0 1.2.NC.T of which: Tropical 1000 m3
2 WOOD CHARCOAL tons 790.6 595.0 1,106.9 971.2 80.3 16.4 112.8 116.9 2 WOOD CHARCOAL 1000 t 2 WOOD CHARCOAL 1000 t 711 995 2 WOOD CHARCOAL 1000 m3
3 WOOD CHIPS, PARTICLES AND RESIDUES tons 1,523.4 283.1 1,197.9 484.2 0.0 0.0 1.5 0.3 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 0 0 0 0 0 0 0 0 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 1,523 1,196 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3
3.1 WOOD CHIPS AND PARTICLES tons 404.3 206.6 511.7 401.1 0.0 0.0 0.0 0.0 3.1 WOOD CHIPS AND PARTICLES 1000 m3 3.1 WOOD CHIPS AND PARTICLES 1000 m3 404 512 3.1 WOOD CHIPS AND PARTICLES 1000 mt
3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) tons 1,119.1 76.5 686.2 83.1 0.0 0.0 1.5 0.3 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 1,119 685 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 mt
3.2.1 of which: Sawdust tons 1,118.6 75.5 681.0 80.2 0.0 0.0 1.5 0.3 3.2.1 of which: Sawdust 1000 m3 3.2.1 of which: Sawdust 1000 m3 1,119 680
4 RECOVERED POST-CONSUMER WOOD tons 1119.1 76.5 686.2 83.1 0.0 0.0 1.5 0.3 4 RECOVERED POST-CONSUMER WOOD 1000 t 4 RECOVERED POST-CONSUMER WOOD 1000 t 1,119 685 4 RECOVERED POST-CONSUMER WOOD 1000 mt
5 WOOD PELLETS AND OTHER AGGLOMERATES tons 178.0 58.8 19.2 15.3 2.5 0.2 0.0 0.0 5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t 0 0 0 0 0 0 0 0 5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t 176 19 5 WOOD PELLETS AND OTHER AGGLOMERATES NAC/m3
5.1 WOOD PELLETS tons 168.1 30.3 17.5 5.7 0.0 0.0 0.0 0.0 5.1 WOOD PELLETS 1000 t 5.1 WOOD PELLETS 1000 t 168 18 5.1 WOOD PELLETS NAC/m3
5.2 OTHER AGGLOMERATES tons 10.0 28.5 1.6 9.6 2.5 0.2 0.0 0.0 5.2 OTHER AGGLOMERATES 1000 t 5.2 OTHER AGGLOMERATES 1000 t 7 2 5.2 OTHER AGGLOMERATES NAC/m3
6 SAWNWOOD (INCLUDING SLEEPERS) cubic meters 2237550.39998 334807.13682 2289151.14919 440172.871 944.4 375.846 484.41 293.597 6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 32,412 4,948 33,321 6,331 402 188 456 289 6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 2,236,629 2,288,862 6 SAWNWOOD (INCLUDING SLEEPERS) NAC/m3
6 SAWNWOOD (INCLUDING SLEEPERS) sq.m. 1141.0 27.0 0.0 0.0 0.0 0.0 0.0 0.0
6.C Coniferous cubic meters 2203997.5 329832.4 2255830.5 433841.8 542.8 188.1 28.0 5.0 6.C Coniferous 1000 m3 6.C Coniferous 1000 m3 2,203,455 2,255,803 6.C Coniferous NAC/m3
6.NC Non-Coniferous cubic meters 33552.9 4974.7 33320.6 6331.1 401.6 187.8 456.4 288.6
6.NC Non-Coniferous sq.m. 1141.0 27.0 0.0 0.0 0.0 0.0 0.0 0.0 6.NC Non-Coniferous 1000 m3 6.NC Non-Coniferous 1000 m3 1,164 195 6.NC Non-Coniferous NAC/m3
6.NC.T of which: Tropical1 cubic meters 58.8 86.9 650.9 48.1 0.0 0.0 0.0 0.0 6.NC.T of which: Tropical1 1000 m3 6.NC.T of which: Tropical1 1000 m3 59 651 6.NC.T of which: Tropical NAC/m3
7 VENEER SHEETS cubic meters 1,771.1 1,407.4 1,623.7 1,415.4 0.0 0.0 3.3 3.1 7 VENEER SHEETS 1000 m3 0 0 0 0 0 0 0 0 7 VENEER SHEETS 1000 m3 1,774 1,623 7 VENEER SHEETS NAC/m3
7.C Coniferous cubic meters 292.3 30.1 336.5 64.9 0.0 0.0 0.0 0.0 7.C Coniferous 1000 m3 7.C Coniferous 1000 m3 292 337 7.C Coniferous NAC/m3
7.NC Non-Coniferous cubic meters 1,478.8 1,377.4 1,287.2 1,350.5 0.0 0.0 3.3 3.1 7.NC Non-Coniferous 1000 m3 7.NC Non-Coniferous 1000 m3 1,482 1,287 7.NC Non-Coniferous NAC/m3
7.NC.T of which: Tropical cubic meters 199.0 63.9 150.6 50.3 0.0 0.0 0.0 0.0 7.NC.T of which: Tropical 1000 m3 7.NC.T of which: Tropical 1000 m3 199 151 7.NC.T of which: Tropical NAC/m3
8 WOOD-BASED PANELS 8 WOOD-BASED PANELS 1000 m3 -57,793,203 -309,933 -71,488,181 -363,065 -843,708 -6,771 -633,509 -6,584 8 WOOD-BASED PANELS 1000 m3 297 299 8 WOOD-BASED PANELS NAC/m3
8.1 PLYWOOD cubic meters 48186.2 26380.6 62837.9 37163.6 222.0 34.1 483.7 304.3 8.1 PLYWOOD 1000 m3 0 0 0 0 0 0 0 0 8.1 PLYWOOD 1000 m3 47,967 62,354 8.1 PLYWOOD NAC/m3
8.1.C Coniferous cubic meters 1205.3 644.8 363.3 255.3 222.0 34.1 150.0 4.7 8.1.C Coniferous 1000 m3 8.1.C Coniferous 1000 m3 983 213 8.1.C Coniferous NAC/m3
8.1.NC Non-Coniferous cubic meters 46980.9 25735.8 62474.6 36908.3 0.0 0.0 333.7 299.6 8.1.NC Non-Coniferous 1000 m3 8.1.NC Non-Coniferous 1000 m3 46,984 62,141 8.1.NC Non-Coniferous NAC/m3
8.1.NC.T of which: Tropical cubic meters 65.0 85.4 101.9 128.2 0.0 0.0 0.0 0.0 8.1.NC.T of which: Tropical 1000 m3 8.1.NC.T of which: Tropical 1000 m3 65 102 8.1.NC.T of which: Tropical NAC/m3
8.1.1 of which: Laminated Veneer Lumber (LVL) 1000 m3 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 8.1.1 of which: Laminated Veneer Lumber (LVL) 1000 m3 0 0 0 0 0 0 0 0 8.1.1 of which: Laminated Veneer Lumber (LVL) 1000 m3 0 0
8.1.1.C Coniferous 1000 m3 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 8.1.1.C Coniferous 1000 m3 8.1.1.C Coniferous 1000 m3 0 0
8.1.1.NC Non-Coniferous 1000 m3 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 8.1.1.NC Non-Coniferous 1000 m3 8.1.1.NC Non-Coniferous 1000 m3 0 0
8.1.1.NC.T of which: Tropical 1000 m3 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 8.1.1.NC.T of which: Tropical 1000 m3 8.1.1.NC.T of which: Tropical 1000 m3 0 0
8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD cubic meters 605,970.1 136,344.0 660,961.6 137,470.0 13,464.0 2,399.6 26,025.4 3,310.9 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 592,754 635,188 8.2 PARTICLE BOARD, ORIENTED STRANDBOARD (OSB) AND SIMILAR BOARD NAC/m3
8.2.1 of which: ORIENTED STRAND BOARD (OSB) cubic meters 7,267.9 2,589.0 7,351.8 2,138.0 0.0 0.0 0.0 0.0 8.2.1 of which: ORIENTED STRAND BOARD (OSB) 1000 m3 8.2.1 of which: ORIENTED STRAND BOARD (OSB) 1000 m3 7,268 7,352 8.2.1 of which: ORIENTED STRANDBOARD (OSB) NAC/m3
8.3 FIBREBOARD sq.m. 57,139,046.6 147,208.0 70,764,381.4 188,431.1 830,022.1 4,337.7 607,000.4 2,969.2 8.3 FIBREBOARD 1000 m3 0 0 0 0 0 0 0 0 8.3 FIBREBOARD 1000 m3 56,309,070 70,157,428 8.3 FIBREBOARD NAC/m3
8.3.1 HARDBOARD sq.m. 14,015,021.8 16,181.7 17,900,604.7 27,677.6 5,600.0 3.6 18,727.0 36.4 8.3.1 HARDBOARD 1000 m3 8.3.1 HARDBOARD 1000 m3 14,009,422 17,881,878 8.3.1 HARDBOARD NAC/mt
8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) sq.m. 28,886,605.7 70,878.6 39,307,091.1 100,767.6 169,773.2 417.5 202,818.3 588.0 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 28,716,868 39,104,318 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) NAC/mt
8.3.3 OTHER FIBREBOARD sq.m. 14,237,419.1 60,147.7 13,556,685.6 59,985.8 654,648.9 3,916.6 385,455.1 2,344.8 8.3.3 OTHER FIBREBOARD 1000 m3 8.3.3 OTHER FIBREBOARD 1000 m3 13,582,780 13,171,232 8.3.3 OTHER FIBREBOARD NAC/mt
9 WOOD PULP кг 90% с/в 16,625,186.0 15,315.1 37,371,035.4 37,878.7 0.0 0.0 372,172.0 483.8 9 WOOD PULP 1000 t 0 0 0 0 0 0 0 0 9 WOOD PULP 1000 t 16,625,187 36,998,864 9 WOOD PULP NAC/mt
9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP кг 90% с/в 4,930.6 24.2 1,161.6 10.0 0.0 0.0 0.0 0.0 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t 4,932 1,162 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP NAC/mt
9.2 CHEMICAL WOOD PULP кг 90% с/в 16,620,255.5 15,290.9 37,348,786.8 37,843.8 0.0 0.0 372,172.0 483.8 9.2 CHEMICAL WOOD PULP 1000 t 0 0 0 0 0 0 0 0 9.2 CHEMICAL WOOD PULP 1000 t 16,620,255 36,976,615 9.2 CHEMICAL WOOD PULP NAC/mt
9.2.1 SULPHATE PULP кг 90% с/в 16,618,713.3 15,286.1 37,266,205.7 37,740.5 0.0 0.0 187,654.0 301.1 9.2.1 SULPHATE PULP 1000 t 9.2.1 SULPHATE PULP 1000 t 16,618,713 37,078,552 9.2.1 SULPHATE PULP NAC/mt
9.2.1.1 of which: BLEACHED кг 90% с/в 16,618,713.3 15,286.1 35,585,216.0 36,888.7 0.0 0.0 187,654.0 301.1 9.2.1.1 of which: BLEACHED 1000 t 9.2.1.1 of which: BLEACHED 1000 t 16,618,713 35,397,562 9.2.1.1 of which: BLEACHED NAC/mt
9.2.2 SULPHITE PULP кг 90% с/в 1,542.2 4.8 82,581.2 103.3 0.0 0.0 184,518.0 182.7 9.2.2 SULPHITE PULP 1000 t 9.2.2 SULPHITE PULP 1000 t 1,542 -101,937 9.2.2 SULPHITE PULP NAC/mt
9.3 DISSOLVING GRADES кг 90% с/в 0.0 0.0 21,087.0 24.9 0.0 0.0 0.0 0.0 9.3 DISSOLVING GRADES 1000 t 9.3 DISSOLVING GRADES 1000 t 0 21,087 9.3 DISSOLVING GRADES NAC/mt
10 OTHER PULP кг 90% с/в 166,784.7 129.8 326,536.0 354.3 23,666,291.0 28,728.6 25,108,281.8 34,251.4 10 OTHER PULP 1000 t 0 0 0 0 0 0 0 0 10 OTHER PULP 1000 t -23,499,481 -24,781,731 10 OTHER PULP NAC/mt
10.1 PULP FROM FIBRES OTHER THAN WOOD кг 90% с/в 156,530.0 113.5 243,530.0 181.9 23,666,291.0 28,728.6 25,108,281.8 34,251.4 10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t 10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t -23,509,735 -24,864,737 10.1 PULP FROM FIBRES OTHER THAN WOOD NAC/mt
10.2 RECOVERED FIBRE PULP кг 90% с/в 10,254.7 16.3 83,006.0 172.4 0.0 0.0 0.0 0.0 10.2 RECOVERED FIBRE PULP 1000 t 10.2 RECOVERED FIBRE PULP 1000 t 10,255 83,006 10.2 RECOVERED FIBRE PULP NAC/mt
11 RECOVERED PAPER tons 20,081.8 4,791.1 47,674.4 12,490.0 887.8 169.4 221.2 46.9 11 RECOVERED PAPER 1000 t 11 RECOVERED PAPER 1000 t 19,195 47,463 11 RECOVERED PAPER NAC/mt
12 PAPER AND PAPERBOARD tons 11,240.3 7,503.9 20,047.3 26,855.9 144,821.4 148,711.3 164,744.0 203,165.7 12 PAPER AND PAPERBOARD 1000 t -195 -238 -1,255 -2,001 -45,640 -45,010 -48,760 -60,305 12 PAPER AND PAPERBOARD 1000 t -133,505 -144,571 12 PAPER AND PAPERBOARD NAC/mt
12.1 GRAPHIC PAPERS tons 2,147.1 2,386.6 1,971.8 12,992.7 85,799.1 78,668.3 101,817.1 120,321.8 12.1 GRAPHIC PAPERS 1000 t 0 0 0 0 0 0 0 0 12.1 GRAPHIC PAPERS 1000 t -83,649 -99,844 12.1 GRAPHIC PAPERS NAC/mt
12.1.1 NEWSPRINT tons 20.6 7.0 39.3 29.4 7,788.5 3,974.6 9,779.1 7,302.4 12.1.1 NEWSPRINT 1000 t 12.1.1 NEWSPRINT 1000 t -7,768 -9,739 12.1.1 NEWSPRINT NAC/mt
12.1.2 UNCOATED MECHANICAL tons 1.7 0.6 479.1 339.6 18,789.0 15,776.7 16,187.4 17,738.4 12.1.2 UNCOATED MECHANICAL 1000 t 12.1.2 UNCOATED MECHANICAL 1000 t -18,786 -15,708 12.1.2 UNCOATED MECHANICAL NAC/mt
12.1.3 UNCOATED WOODFREE tons 2,116.2 2,287.4 1,284.2 11,525.3 37,680.8 38,091.2 55,417.4 70,237.9 12.1.3 UNCOATED WOODFREE 1000 t 12.1.3 UNCOATED WOODFREE 1000 t -35,564 -54,133 12.1.3 UNCOATED WOODFREE NAC/mt
12.1.4 COATED PAPERS tons 8.7 91.6 169.2 1,098.4 21,541.0 20,825.9 20,433.1 25,043.2 12.1.4 COATED PAPERS 1000 t 12.1.4 COATED PAPERS 1000 t -21,531 -20,264 12.1.4 COATED PAPERS NAC/mt
12.2 HOUSEHOLD AND SANITARY PAPERS tons 1,172.3 1,270.2 5,100.7 7,093.4 843.5 1,020.6 785.0 1,314.9 12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t 12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t 335 4,331 12.2 HOUSEHOLD AND SANITARY PAPERS NAC/mt
12.3 PACKAGING MATERIALS tons 8,106.5 4,047.2 14,214.8 8,441.5 99,822.6 105,036.5 107,273.3 130,596.7 12.3 PACKAGING MATERIALS 1000 t 0 0 0 0 0 0 0 0 12.3 PACKAGING MATERIALS 1000 t -91,672 -92,971 12.3 PACKAGING MATERIALS NAC/mt
12.3.1 CASE MATERIALS tons 5,253.1 2,612.2 9,540.7 5,342.7 14,899.3 8,691.7 12,880.1 9,752.7 12.3.1 CASE MATERIALS 1000 t 12.3.1 CASE MATERIALS 1000 t -9,614 -3,281 12.3.1 CASE MATERIALS NAC/mt
12.3.2 CARTONBOARD tons 246.6 201.4 1,142.4 1,080.5 65,332.0 80,170.0 76,372.4 102,150.8 12.3.2 CARTONBOARD 1000 t 12.3.2 CARTONBOARD 1000 t -65,085 -75,230 12.3.2 CARTONBOARD NAC/mt
12.3.3 WRAPPING PAPERS tons 831.0 624.3 860.2 851.5 18,039.1 15,022.5 16,913.9 17,693.4 12.3.3 WRAPPING PAPERS 1000 t 12.3.3 WRAPPING PAPERS 1000 t -17,196 -16,026 12.3.3 WRAPPING PAPERS NAC/mt
12.3.4 OTHER PAPERS MAINLY FOR PACKAGING tons 1,775.8 609.3 2,671.4 1,166.9 1,552.2 1,152.3 1,106.8 999.7 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t 224 1,565 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING NAC/mt
12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) tons 9.6 37.8 15.4 329.6 3,996.0 8,995.6 3,629.0 11,237.1 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 -3,964 -3,593 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) NAC/mt
15 GLULAM AND CROSS-LAMINATED TIMBER (CLT or X-LAM)2 1000 m3 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 15 GLULAM AND CROSS-LAMINATED TIMBER (CLT or X-LAM)1 1000 m3 0 0 0 0 0 0 0 0 15 GLULAM AND CROSS-LAMINATED TIMBER (CLT or X-LAM)1 1000 m3 0 0
15.1 GLULAM 1000 m3 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 15.1 GLULAM 1000 m3 15.1 GLULAM 1000 m3 0 0
15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) 1000 m3 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) 1000 m3 15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) 1000 m3 0 0
16 I BEAMS (I-JOISTS)2 tons 966.3 1,555.8 926.1 1,353.0 0.5 1.1 0.0 0.0 16 I BEAMS (I-JOISTS)1 1000 t 16 I BEAMS (I-JOISTS)1 1000 t 966 926
1 Please include the non-coniferous non-tropical species exported by tropical countries or imported from tropical countries.
2 Glulam, CLT and I Beams are classified as secondary wood products but for ease of reporting are included here
m3 = cubic metres solid volume Please complete each cell if possible with
m3ub = cubic metres solid volume underbark (i.e. excluding bark) data (numerical value)
t = metric tonnes or "…" for not available
or "0" for zero data
https://www.fao.org/3/cb8216en/cb8216en.pdf

JQ3 Secondary PP Trade

62 91 91
Country: Uzbekistan Date: 22.06.2023
Name of Official responsible for reply:
Official Address (in full): Tashkent City, Mustakillik Avenue, 63
FOREST SECTOR QUESTIONNAIRE JQ3
SECONDARY PROCESSED PRODUCTS Telephone/Fax:
Trade E-mail:
This table highlights discrepancies between items and sub-items. Please verify your data if there's an error!
Specify Currency and Unit of Value (e.g.:1000 US $): thousand US dollars Discrepancies
Flag Flag Flag Flag Note Note Note Note
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 2021 2022 2021 2022 2021 2022 2021 2022 2021 2022 2021 2022 Code 2021 2022 2021 2022
13 SECONDARY WOOD PRODUCTS 85,810.2 134,609.6 8,263.4 18,751.9 13 SECONDARY WOOD PRODUCTS
13.1 FURTHER PROCESSED SAWNWOOD 1,285.7 1,117.8 1.8 24.2 13.1 FURTHER PROCESSED SAWNWOOD 0 0 0 0
13.1.C Coniferous 470.1 749.2 0.0 18.1 13.1.C Coniferous
13.1.NC Non-coniferous 815.6 368.6 1.8 6.1 13.1.NC Non-coniferous
13.1.NC.T of which: Tropical 17.1 0.0 0.0 0.0 13.1.NC.T of which: Tropical
13.2 WOODEN WRAPPING AND PACKAGING MATERIAL 192.3 747.4 26.1 19.8 13.2 WOODEN WRAPPING AND PACKAGING MATERIAL
13.3 WOOD PRODUCTS FOR DOMESTIC/DECORATIVE USE 656.5 853.6 5,329.1 11,618.4 13.3 WOOD PRODUCTS FOR DOMESTIC/DECORATIVE USE
13.4 BUILDER’S JOINERY AND CARPENTRY OF WOOD1 16,535.8 28,645.3 65.4 292.4 13.4 BUILDER’S JOINERY AND CARPENTRY OF WOOD1
13.5 WOODEN FURNITURE 59,966.4 94,005.9 2,607.0 6,409.6 13.5 WOODEN FURNITURE
13.6 PREFABRICATED BUILDINGS OF WOOD 4,352.0 2,604.7 5.7 53.5 13.6 PREFABRICATED BUILDINGS OF WOOD
13.7 OTHER MANUFACTURED WOOD PRODUCTS 2,821.8 6,635.0 228.4 333.9 13.7 OTHER MANUFACTURED WOOD PRODUCTS
14 SECONDARY PAPER PRODUCTS 19,605.8 36,523.6 107,028.1 126,743.1 14 SECONDARY PAPER PRODUCTS
14.1 COMPOSITE PAPER AND PAPERBOARD 115.4 175.1 135.8 129.1 14.1 COMPOSITE PAPER AND PAPERBOARD
14.2 SPECIAL COATED PAPER AND PULP PRODUCTS 89.4 1,000.6 21,424.5 30,682.3 14.2 SPECIAL COATED PAPER AND PULP PRODUCTS
14.3 HOUSEHOLD AND SANITARY PAPER, READY FOR USE 3,758.7 11,597.6 1,947.7 2,721.7 14.3 HOUSEHOLD AND SANITARY PAPER, READY FOR USE
14.4 PACKAGING CARTONS, BOXES ETC. 1,762.1 2,492.8 18,718.6 20,432.2 14.4 PACKAGING CARTONS, BOXES ETC.
14.5 OTHER ARTICLES OF PAPER AND PAPERBOARD, READY FOR USE 13,880.2 21,257.6 64,801.4 72,777.9 14.5 OTHER ARTICLES OF PAPER AND PAPERBOARD, READY FOR USE 13540.62363 20299.228 63422.71808 70524.728
14.5.1 of which: PRINTING AND WRITING PAPER, READY FOR USE 209.3 99.3 521.1 759.6 14.5.1 of which: PRINTING AND WRITING PAPER, READY FOR USE
14.5.2 of which: ARTICLES, MOULDED OR PRESSED FROM PULP 130.2 250.0 442.6 487.5 14.5.2 of which: ARTICLES, MOULDED OR PRESSED FROM PULP
14.5.3 of which: FILTER PAPER AND PAPERBOARD, READY FOR USE 0.0 609.1 415.0 1,006.0 14.5.3 of which: FILTER PAPER AND PAPERBOARD, READY FOR USE
1 In February 2023 this definition was updated to exclude Glulam, Cross-Laminated Timber and I-Beams which are now distinct items in the JFSQ (15.1, 15.2 and 16). This change was made to reflect the update of HS2022.
Please complete each cell with
data (numerical value)
or "…" for not available
or "0" for zero data

ECE-EU Species

Country: Uzbekistan Date: 22.06.2023
Name of Official responsible for reply: DISCREPANCIES
FOREST SECTOR QUESTIONNAIRE ECE/EU Species Trade Official Address (in full): Tashkent City, Mustakillik Avenue, 63 Checks
- Checks that values reported on JQ2 match values reported on this sheet
Trade in Roundwood and Sawnwood by species Telephone: Fax: - Checks that subitems are < or = to aggregate
E-mail:
Specify Currency and Unit of Value (e.g.:1000 national currency): thousand US dollars
Flag Flag Flag Flag Flag Flag Flag Flag Note Note Note Note Note Note Note Note
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 Classification Classification Unit of 2021 2022 2021 2022 2021 2022 2021 2022 2021 2022 2021 2022 0 0 0 0
Code HS2022 CN2022 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
1.2.C 4403.11/21/22/23/24/25/26 Industrial Roundwood, Coniferous cubic meters 227,474.0 11,250.3 61,993.2 7,457.6 154.0 8.3 188.2 12.5 OK JQ2 Discrepancy OK OK OK OK OK OK
4403.21/22 of which: Pine (Pinus spp.) cubic meters 221,364.8 10,967.6 61,957.0 7,449.4 154.0 8.3 188.2 12.5 OK OK OK OK OK OK OK OK
4403 21 10 sawlogs and veneer logs 1000 м3бк 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
4403 21 90 4403 22 00 pulpwood and other industrial roundwood 1000 м3бк 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
4403.23/24 of which: Fir/Spruce (Abies spp., Picea spp.) cubic meters 3,694.5 146.8 1.6 0.1 0.0 0.0 0.0 0.0 OK OK OK OK OK OK OK OK
4403 23 10 sawlogs and veneer logs 1000 м3бк 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
4403 23 90 4403 24 00 pulpwood and other industrial roundwood 1000 м3бк 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
1.2.NC 4403.12/41/42/49/91/93/94 4403.95/96/97/98/99 Industrial Roundwood, Non-Coniferous cubic meters 31,920.1 1,981.2 59,931.2 6,066.1 29.8 8.0 0.0 0.0 OK OK OK OK OK OK OK OK
ex4403.12 4403.91 of which: Oak (Quercus spp.) cubic meters 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
ex4403.12 4403.93/94 of which: Beech (Fagus spp.) cubic meters 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
ex4403.12 4403.95/96 of which: Birch (Betula spp.) cubic meters 23,743.9 1,744.7 56,864.1 5,954.6 0.0 0.0 0.0 0.0 OK OK OK OK ERROR ERROR OK OK
4403 95 10 sawlogs and veneer logs 1000 м3бк 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
ex4403 12 00 4403 95 90 4403 96 00 pulpwood and other industrial roundwood cubic meters 14,774.5 932.7 36,840.6 3,804.1 24.8 6.6 0.0 0.0
ex4403.12 4403.97 of which: Poplar/Aspen (Populus spp.) cubic meters 7,845.5 224.9 3,045.2 109.9 5.0 1.4 0.0 0.0
ex4403.12 4403.98 of which: Eucalyptus (Eucalyptus spp.) cubic meters 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
6.C 4406.11/91 4407.11/12/13/14/19 Sawnwood, Coniferous cubic meters 2,203,997.5 329,832.4 2,255,830.5 433,841.8 542.8 188.1 28.0 5.0 OK OK OK OK OK OK OK OK
4407.11 ex4407.13 ex4406.11/91 of which: Pine (Pinus spp.) cubic meters 1,783,229.4 270,626.1 1,756,926.4 338,819.2 442.8 138.9 28.0 5.0
4407.12 ex4407.13/14 ex4406.11/91 of which: Fir/Spruce (Abies spp., Picea spp.) cubic meters 361,350.0 49,799.7 422,278.6 79,072.6 0.0 0.0 0.0 0.0
6.NC 4406.12/92 4407.21/22/23/25/26/27/28/29/ 91/92/93/94/95/96/97/99 Sawnwood, Non-coniferous cubic meters 33,552.9 4,974.7 33,320.6 6,331.1 401.6 187.8 456.4 288.6 JQ2 Discrepancy JQ2 Discrepancy JQ2 Discrepancy JQ2 Discrepancy JQ2 Discrepancy JQ2 Discrepancy JQ2 Discrepancy JQ2 Discrepancy
6.NC 4406.12/92 4407.21/22/23/25/26/27/28/29/ 91/92/93/94/95/96/97/99 Sawnwood, Non-coniferous sq.m. 1,141.0 27.0 0.0 0.0 0.0 0.0 0.0 0.0
ex4406.12/92 4407.91 of which: Oak (Quercus spp.) cubic meters 58.0 47.2 138.4 158.6 0.0 0.0 0.0 0.0
ex4406.12/92 4407.91 of which: Oak (Quercus spp.) sq.m. 1,141.0 27.0 0.0 0.0 0.0 0.0 0.0 0.0
ex4406.12/92 4407.92 of which: Beech (Fagus spp.) cubic meters 1,837.5 623.5 829.2 318.4 0.0 0.0 0.0 0.0
ex4406.12/92 4407.93 of which: Maple (Acer spp.) cubic meters 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
ex4406.12/92 4407.94 of which: Cherry (Prunus spp.) cubic meters 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
ex4406.12/92 4407.95 of which: Ash (Fraxinus spp.) cubic meters 130.2 47.8 16.4 44.4 0.0 0.0 0.0 0.0
ex4406.12/92 4407.96 of which: Birch (Betula spp.) cubic meters 6,126.7 455.9 946.7 286.5 0.0 0.0 236.4 164.1
ex4406.12/92 4407.97 of which: Poplar/Aspen (Populus spp.) cubic meters 24,285.5 3,501.5 28,748.0 4,978.3 283.6 171.4 220.0 124.5
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
"ex" codes indicate that only part of that trade classication code is used
m3ub = cubic metres underbark (i.e. excluding bark)
Please complete each cell if possible with
data (numerical value)
or "…" for not available
or "0" for zero data

TS-OB

% Min: 80% Max: 120% Notes
JQ1 Country Flow Unit Product 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! ERROR:#REF! ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P.OB 1000 m3 1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P.OB 1000 m3 1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P.OB 1000 m3 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P.OB 1000 m3 1_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P.OB 1000 m3 1_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P.OB 1000 m3 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P.OB 1000 m3 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P.OB 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P.OB 1000 m3 1_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P.OB 1000 m3 1_2_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P.OB 1000 m3 1_2_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P.OB 1000 m3 1_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P.OB 1000 m3 1_2_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P.OB 1000 m3 1_2_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P.OB 1000 m3 1_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P.OB 1000 m3 1_2_3_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P.OB 1000 m3 1_2_3_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!

TS-JQ1

% Min: 80% Max: 120% Notes
JQ1 Country Flow Unit Product 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! ERROR:#REF! ERROR:#REF! ERROR:#REF!
ERROR:#REF! P 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 1_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 1_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 1_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 1_2_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 1_2_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 1_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 1_2_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 1_2_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 1_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 1_2_3_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 1_2_3_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 6_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 6_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 6_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 6_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 6_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 6_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 6_4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 6_4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 6_4_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!

TS-JQ2

% Min: 80% Max: 120% Notes
JQ2 Country Flow Unit Product 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! ERROR:#REF! ERROR:#REF! ERROR:#REF!
Q ERROR:#REF! M 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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TS-JQ3

% Min: 80% Max: 120% Notes
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TS-ECEEU

% Min: 80% Max: 120% Notes
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€ ERROR:#REF! EX_X 1000 NAC 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_X 1000 mt 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_X 1000 NAC 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_X 1000 mt 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_X 1000 NAC 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_X 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_X 1000 NAC 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_X 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_X 1000 NAC 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_X 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_X 1000 NAC 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_X 1000 mt 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_X 1000 NAC 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_X 1000 mt 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_X 1000 NAC 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_X 1000 mt 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_X 1000 NAC 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_X 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_X 1000 NAC 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_X 1000 mt 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_X 1000 NAC 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_X 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_X 1000 NAC 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_X 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_X 1000 NAC 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_X 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_X 1000 NAC 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_X 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_X 1000 NAC 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_X 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_X 1000 NAC 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_X 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_X 1000 NAC 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_X 1000 mt 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_X 1000 NAC 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_X 1000 mt 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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UV ERROR:#REF! EX_X 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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UV ERROR:#REF! EX_X 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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UV ERROR:#REF! EX_X 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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UV ERROR:#REF! EX_M 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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UV ERROR:#REF! EX_X 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_X 1000 NAC 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_X 1000 mt 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!

TS-EU2

% Min: 80% Max: 120% Notes
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ERROR:#REF! P 1000 m3 EU2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 EU2_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 EU2_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 EU2_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 EU2_1_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 EU2_1_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 EU2_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 EU2_1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 EU2_1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 EU2_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 EU2_1_3_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 EU2_1_3_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!

Annex1 | JQ1-Corres.

Last updated in 2016
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 HS2022, HS2017, HS2012 and SITC Rev.4
C l a s s i f i c a t i o n s
Product Product
Code HS2022 HS2017 HS2012 SITC Rev.4
1 ROUNDWOOD (WOOD IN THE ROUGH) 4401.11/12 44.03 4401.11/12 44.03 4401.10 44.03 245.01 247
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 4401.11/12 4401.11/12 4401.10 245.01
1.1.C Coniferous 4401.11 4401.11 ex4401.10 ex245.01
1.1.NC Non-Coniferous 4401.12 4401.12 ex4401.10 ex245.01
1.2 INDUSTRIAL ROUNDWOOD 44.03 44.03 44.03 247
1.2.C Coniferous 4403.11/21/22/23/24/25/26 4403.11/21/22/23/24/25/26 ex4403.10 4403.20 ex247.3 247.4
1.2.NC Non-Coniferous 4403.12/41/42/49/91/93/94/95/96/97/98/99 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: Tropical1 ex4403.12 4403.41/42/49 4403.41/49 ex4403.10 4403.41/49 ex4403.99 ex247.3 247.5 ex247.9
2 WOOD CHARCOAL 4402.90 4402.90 4402.90 ex245.02
3 WOOD CHIPS, PARTICLES AND RESIDUES 4401.21/22 4401.41 ex4401.49 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 4401.21/22 246.1
3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 4401.41 ex4401.49++ ex4401.40++ ex4401.39 ex246.2
3.2.1 of which: Sawdust 4401.41 ex4401.40++ ex4401.39 ex246.2
4 RECOVERED POST-CONSUMER WOOD ex4401.49++ ex4401.40++ ex4401.39 ex246.2
5 WOOD PELLETS AND OTHER AGGLOMERATES 4401.31/32/39 4401.31/39 4401.31 ex4401.39 ex246.2
5.1 WOOD PELLETS 4401.31 4401.31 4401.31 ex246.2
5.2 OTHER AGGLOMERATES 4401.32/39 4401.39 ex4401.39 ex246.2
6 SAWNWOOD (INCLUDING SLEEPERS) 44.06 44.07 44.06 44.07 44.06 44.07 248.1 248.2 248.4
6.C Coniferous 4406.11/91 4407.11/12/13/14/19 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 4407.21/22/23/25/26/27/28/29/91/92/93/94/95/96/97/99 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: Tropical1 ex4406.12/92 4407.21/22/23/25/26/27/28/29 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 44.08 634.1
7.C Coniferous 4408.10 4408.10 4408.10 634.11
7.NC Non-Coniferous 4408.31/39/90 4408.31/39/90 4408.31/39/90 634.12
7.NC.T of which: Tropical 4408.31/39 4408.31/39 4408.31/39 ex4408.90 ex634.12
8 WOOD-BASED PANELS 44.10 44.11 4412.31/33/34/39/41/42/49/51/52/59/91/92/99 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 4412.31/33/34/39/41/42/49/51/52/59/91/92/99 4412.31/33/34/39/94/99 4412.31/32/39/94/99 634.31/33/39
8.1.C Coniferous 4412.39/49/59/99 4412.39 ex4412.94 ex4412.99 4412.39 ex4412.94 ex.4412.99 ex634.31 ex634.33 ex634.39
8.1.NC Non-Coniferous 4412.33/34/42/52/92 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 4412.31/41/51/91 4412.31 ex4412.94 ex4412.99 4412.31 ex4412.32 ex4412.94 ex4412.99 ex634.31 ex634.33 ex634.39
8.1.1 of which: Laminated Veneer Lumber (LVL) 4412.41/42/49 ex4412.99 ex4412.99 ex634.39
8.1.1.C Coniferous 4412.49 ex4412.99 ex4412.99 ex634.39
8.1.1.NC Non-Coniferous 4412.41/42 ex4412.99 ex4412.99 ex634.39
8.1.1.NC.T of which: Tropical 4412.41 ex4412.99 ex4412.99 ex634.39
8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) and SIMILAR BOARD 44.10 44.10 44.10 634.22/23
8.2.1 of which: ORIENTED STRAND BOARD (OSB) 4410.12 4410.12 4410.12 ex634.22
8.3 FIBREBOARD 44.11 44.11 44.11 634.5
8.3.1 HARDBOARD 4411.92 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* 4411.12/13 ex4411.14* ex634.54 ex634.55
8.3.3 OTHER FIBREBOARD ex4411.14* 4411.93/94 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 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 47.01 47.05 251.2 251.91
9.2 CHEMICAL WOOD PULP 47.03 47.04 47.03 47.04 47.03 47.04 251.4 251.5 251.6
9.2.1 SULPHATE PULP 47.03 47.03 47.03 251.4 251.5
9.2.1.1 of which: BLEACHED 4703.21/29 4703.21/29 4703.21/29 251.5
9.2.2 SULPHITE PULP 47.04 47.04 47.04 251.6
9.3 DISSOLVING GRADES 47.02 47.02 47.02 251.3
10 OTHER PULP 47.06 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 4706.10/30/91/92/93 ex251.92
10.2 RECOVERED FIBRE PULP 4706.20 4706.20 4706.20 ex251.92
11 RECOVERED PAPER 47.07 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 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 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 48.01 641.1
12.1.2 UNCOATED MECHANICAL 4802.61/62/69 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 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 48.09 4810.13/14/19/22/29 641.3
12.2 HOUSEHOLD AND SANITARY PAPERS 48.03 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 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 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 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 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 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 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
15 GLULAM AND CROSS-LAMINATED TIMBER (CLT or X-LAM)2 4418.81/82 ex4418.60 ex4418.60 ex635.39
15.1 GLULAM 4418.81 ex4418.60 ex4418.60 ex635.39
15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) 4418.82 ex4418.60 ex4418.60 ex635.39
16 I BEAMS (I-JOISTS)2 4418.83 ex4418.60 ex4418.60 ex635.39
1Please include the non-coniferous non-tropical species exported by tropical countries or imported from tropical countries.
2 Glulam, CLT and I Beams are classified as secondary wood products but for ease of reporting are included in JQ1 and JQ2
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/HS2022 or SITC Rev.4 code is applicable.
For instance "ex4401.49" under product 3.2 means that only a part of HS2022 code 4401.49 refers to wood residues coming from wood processing (the other part coded under 4401.49 is recovered post-consumer wood).
++ Please use your judgement or, as a default, assign half of 4401.49 to item 3.2 and half to item 4 (note different quantity units)
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.

SentData

Country Flow Year Unit Product Conc Data value
ERROR:#REF! P 2021 1000 m3 1 ERROR:#REF! 0 JQ1
ERROR:#REF! P 2021 1000 m3 1_C ERROR:#REF! 0
ERROR:#REF! P 2021 1000 m3 1_NC ERROR:#REF! 0
ERROR:#REF! P 2021 1000 m3 1_1 ERROR:#REF! 0
ERROR:#REF! P 2021 1000 m3 1_1_C ERROR:#REF! 0
ERROR:#REF! P 2021 1000 m3 1_1_NC ERROR:#REF! 0
ERROR:#REF! P 2021 1000 m3 1_2 ERROR:#REF! 0
ERROR:#REF! P 2021 1000 m3 1_2_C ERROR:#REF! 0
ERROR:#REF! P 2021 1000 m3 1_2_NC ERROR:#REF! 0
ERROR:#REF! P 2021 1000 m3 1_2_1 ERROR:#REF! 0
ERROR:#REF! P 2021 1000 m3 1_2_1_C ERROR:#REF! 0
ERROR:#REF! P 2021 1000 m3 1_2_1_NC ERROR:#REF! 0
ERROR:#REF! P 2021 1000 m3 1_2_2 ERROR:#REF! 0
ERROR:#REF! P 2021 1000 m3 1_2_2_C ERROR:#REF! 0
ERROR:#REF! P 2021 1000 m3 1_2_2_NC ERROR:#REF! 0
ERROR:#REF! P 2021 1000 m3 1_2_3 ERROR:#REF! 0
ERROR:#REF! P 2021 1000 m3 1_2_3_C ERROR:#REF! 0
ERROR:#REF! P 2021 1000 m3 1_2_3_NC ERROR:#REF! 0
ERROR:#REF! P 2021 1000 mt 2 ERROR:#REF! 0.0192
ERROR:#REF! P 2021 1000 m3 3 ERROR:#REF! 0.0192
ERROR:#REF! P 2021 1000 m3 3_1 ERROR:#REF! 0
ERROR:#REF! P 2021 1000 m3 3_2 ERROR:#REF! 0.0557
ERROR:#REF! P 2021 1000 mt 4 ERROR:#REF! 0
ERROR:#REF! P 2021 1000 mt 4_1 ERROR:#REF! 0
ERROR:#REF! P 2021 1000 mt 4_2 ERROR:#REF! 0
ERROR:#REF! P 2021 1000 m3 5 ERROR:#REF! 23.119
ERROR:#REF! P 2021 1000 m3 5_C ERROR:#REF! 0
ERROR:#REF! P 2021 1000 m3 5_NC ERROR:#REF! 23.119
ERROR:#REF! P 2021 1000 m3 5_NC_T ERROR:#REF! 0
ERROR:#REF! P 2021 1000 m3 6 ERROR:#REF! 2.78
ERROR:#REF! P 2021 1000 m3 6_1 ERROR:#REF! 0
ERROR:#REF! P 2021 1000 m3 6_1_C ERROR:#REF! 2.78
ERROR:#REF! P 2021 1000 m3 6_1_NC ERROR:#REF! 0
ERROR:#REF! P 2021 1000 m3 6_1_NC_T ERROR:#REF! 296.574
ERROR:#REF! P 2021 1000 m3 6_2 ERROR:#REF! 3.175
ERROR:#REF! P 2021 1000 m3 6_2_C ERROR:#REF! 0
ERROR:#REF! P 2021 1000 m3 6_2_NC ERROR:#REF! 3.175
ERROR:#REF! P 2021 1000 m3 6_2_NC_T ERROR:#REF! 0
ERROR:#REF! P 2021 1000 m3 6_3 ERROR:#REF! 247.943
ERROR:#REF! P 2021 1000 m3 6_3_1 ERROR:#REF! 0
ERROR:#REF! P 2021 1000 m3 6_4 ERROR:#REF! 45.456
ERROR:#REF! P 2021 1000 m3 6_4_1 ERROR:#REF! 0
ERROR:#REF! P 2021 1000 m3 6_4_2 ERROR:#REF! 35.956
ERROR:#REF! P 2021 1000 m3 6_4_3 ERROR:#REF! 9.5
ERROR:#REF! P 2021 1000 mt 7 ERROR:#REF! 1.1284
ERROR:#REF! P 2021 1000 mt 7_1 ERROR:#REF! 1.128
ERROR:#REF! P 2021 1000 mt 7_2 ERROR:#REF! 0.00041
ERROR:#REF! P 2021 1000 mt 7_3 ERROR:#REF! 0.00001
ERROR:#REF! P 2021 1000 mt 7_3_1 ERROR:#REF! 0
ERROR:#REF! P 2021 1000 mt 7_3_2 ERROR:#REF! 0.0004
ERROR:#REF! P 2021 1000 mt 7_3_3 ERROR:#REF! 0
ERROR:#REF! P 2021 1000 mt 7_3_4 ERROR:#REF! 25.7359
ERROR:#REF! P 2021 1000 mt 7_4 ERROR:#REF! 25.7359
ERROR:#REF! P 2021 1000 mt 8 ERROR:#REF! 0
ERROR:#REF! P 2021 1000 mt 8_1 ERROR:#REF! 0.596
ERROR:#REF! P 2021 1000 mt 8_2 ERROR:#REF! 76.3447
ERROR:#REF! P 2021 1000 mt 9 ERROR:#REF! 3.279
ERROR:#REF! P 2021 1000 mt 10 ERROR:#REF! 0.28
ERROR:#REF! P 2021 1000 mt 10_1 ERROR:#REF! 0.83
ERROR:#REF! P 2021 1000 mt 10_1_1 ERROR:#REF! 0.565
ERROR:#REF! P 2021 1000 mt 10_1_2 ERROR:#REF! 1.604
ERROR:#REF! P 2021 1000 mt 10_1_3 ERROR:#REF! 6.202
ERROR:#REF! P 2021 1000 mt 10_1_4 ERROR:#REF! 44.3817
ERROR:#REF! P 2021 1000 mt 10_2 ERROR:#REF! 32.2099
ERROR:#REF! P 2021 1000 mt 10_3 ERROR:#REF! 0.0768
ERROR:#REF! P 2021 1000 mt 10_3_1 ERROR:#REF! 12.095
ERROR:#REF! P 2021 1000 mt 10_3_2 ERROR:#REF! 0
ERROR:#REF! P 2021 1000 mt 10_3_3 ERROR:#REF! 22.482
ERROR:#REF! P 2021 1000 mt 10_3_4 ERROR:#REF! 0
ERROR:#REF! P 2021 1000 mt 10_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P 2022* 1000 m3 1 ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 m3 1_C ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 m3 1_NC ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 m3 1_1 ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 m3 1_1_C ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 m3 1_1_NC ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 m3 1_2 ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 m3 1_2_C ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 m3 1_2_NC ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 m3 1_2_1 ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 m3 1_2_1_C ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 m3 1_2_1_NC ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 m3 1_2_2 ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 m3 1_2_2_C ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 m3 1_2_2_NC ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 m3 1_2_3 ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 m3 1_2_3_C ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 m3 1_2_3_NC ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 mt 2 ERROR:#REF! 0.03568
ERROR:#REF! P 2022* 1000 m3 3 ERROR:#REF! 0.03568
ERROR:#REF! P 2022* 1000 m3 3_1 ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 m3 3_2 ERROR:#REF! 0.076
ERROR:#REF! P 2022* 1000 mt 4 ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 mt 4_1 ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 mt 4_2 ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 m3 5 ERROR:#REF! 195.23896
ERROR:#REF! P 2022* 1000 m3 5_C ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 m3 5_NC ERROR:#REF! 195.23896
ERROR:#REF! P 2022* 1000 m3 5_NC_T ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 m3 6 ERROR:#REF! 2.714339
ERROR:#REF! P 2022* 1000 m3 6_1 ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 m3 6_1_C ERROR:#REF! 2.7143
ERROR:#REF! P 2022* 1000 m3 6_1_NC ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 m3 6_1_NC_T ERROR:#REF! 299.38065
ERROR:#REF! P 2022* 1000 m3 6_2 ERROR:#REF! 0.08775
ERROR:#REF! P 2022* 1000 m3 6_2_C ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 m3 6_2_NC ERROR:#REF! 0.08775
ERROR:#REF! P 2022* 1000 m3 6_2_NC_T ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 m3 6_3 ERROR:#REF! 252.0999
ERROR:#REF! P 2022* 1000 m3 6_3_1 ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 m3 6_4 ERROR:#REF! 47.193
ERROR:#REF! P 2022* 1000 m3 6_4_1 ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 m3 6_4_2 ERROR:#REF! 45.628
ERROR:#REF! P 2022* 1000 m3 6_4_3 ERROR:#REF! 1.565
ERROR:#REF! P 2022* 1000 mt 7 ERROR:#REF! 0.87368
ERROR:#REF! P 2022* 1000 mt 7_1 ERROR:#REF! 0.87368
ERROR:#REF! P 2022* 1000 mt 7_2 ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 mt 7_3 ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 mt 7_3_1 ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 mt 7_3_2 ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 mt 7_3_3 ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 mt 7_3_4 ERROR:#REF! 14.967874
ERROR:#REF! P 2022* 1000 mt 7_4 ERROR:#REF! 14.968
ERROR:#REF! P 2022* 1000 mt 8 ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 mt 8_1 ERROR:#REF! 9.758
ERROR:#REF! P 2022* 1000 mt 8_2 ERROR:#REF! 125.43761
ERROR:#REF! P 2022* 1000 mt 9 ERROR:#REF! 1.43432
ERROR:#REF! P 2022* 1000 mt 10 ERROR:#REF! 0.44096
ERROR:#REF! P 2022* 1000 mt 10_1 ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 mt 10_1_1 ERROR:#REF! 0.77089
ERROR:#REF! P 2022* 1000 mt 10_1_2 ERROR:#REF! 0.22247
ERROR:#REF! P 2022* 1000 mt 10_1_3 ERROR:#REF! 15.7217
ERROR:#REF! P 2022* 1000 mt 10_1_4 ERROR:#REF! 87.20541
ERROR:#REF! P 2022* 1000 mt 10_2 ERROR:#REF! 58.8796
ERROR:#REF! P 2022* 1000 mt 10_3 ERROR:#REF! 0.1379
ERROR:#REF! P 2022* 1000 mt 10_3_1 ERROR:#REF! 28.18791
ERROR:#REF! P 2022* 1000 mt 10_3_2 ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 mt 10_3_3 ERROR:#REF! 21.07618
ERROR:#REF! P 2022* 1000 mt 10_3_4 ERROR:#REF! 0
ERROR:#REF! P 2022* 1000 mt 10_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 2021 1000 m3 1 ERROR:#REF! 0 JQ2
ERROR:#REF! M 2021 1000 m3 1_1 ERROR:#REF! 99.6
ERROR:#REF! M 2021 1000 m3 1_2 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 m3 1_2_C ERROR:#REF! 99.6
ERROR:#REF! M 2021 1000 m3 1_2_NC ERROR:#REF! 259394.156
ERROR:#REF! M 2021 1000 m3 1_2_NC_T ERROR:#REF! 227474.046
ERROR:#REF! M 2021 1000 mt 2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 2021 1000 m3 3 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 m3 3_1 ERROR:#REF! 790.6443
ERROR:#REF! M 2021 1000 m3 3_2 ERROR:#REF! 1523.4044
ERROR:#REF! M 2021 1000 mt 4 ERROR:#REF! 404.277
ERROR:#REF! M 2021 1000 mt 4_1 ERROR:#REF! 1119.1274
ERROR:#REF! M 2021 1000 mt 4_2 ERROR:#REF! 1119.1274
ERROR:#REF! M 2021 1000 m3 5 ERROR:#REF! 178.03864
ERROR:#REF! M 2021 1000 m3 5_C ERROR:#REF! 168.06744
ERROR:#REF! M 2021 1000 m3 5_NC ERROR:#REF! 9.9712
ERROR:#REF! M 2021 1000 m3 5_NC_T ERROR:#REF! 2237550.39998
ERROR:#REF! M 2021 1000 m3 6 ERROR:#REF! 2203997.52808
ERROR:#REF! M 2021 1000 m3 6_1 ERROR:#REF! 1141
ERROR:#REF! M 2021 1000 m3 6_1_C ERROR:#REF! 58.779
ERROR:#REF! M 2021 1000 m3 6_1_NC ERROR:#REF! 1771.0558
ERROR:#REF! M 2021 1000 m3 6_1_NC_T ERROR:#REF! 292.282
ERROR:#REF! M 2021 1000 m3 6_2 ERROR:#REF! 1478.7738
ERROR:#REF! M 2021 1000 m3 6_2_C ERROR:#REF! 198.963
ERROR:#REF! M 2021 1000 m3 6_2_NC ERROR:#REF! 0
ERROR:#REF! M 2021 1000 m3 6_2_NC_T ERROR:#REF! 48186.18985
ERROR:#REF! M 2021 1000 m3 6_3 ERROR:#REF! 1205.2615
ERROR:#REF! M 2021 1000 m3 6_3_1 ERROR:#REF! 46980.92835
ERROR:#REF! M 2021 1000 m3 6_4 ERROR:#REF! 65.0445
ERROR:#REF! M 2021 1000 m3 6_4_1 ERROR:#REF! 605970.10519
ERROR:#REF! M 2021 1000 m3 6_4_2 ERROR:#REF! 7267.917
ERROR:#REF! M 2021 1000 m3 6_4_3 ERROR:#REF! 57139046.57969
ERROR:#REF! M 2021 1000 mt 7 ERROR:#REF! 14015021.7618
ERROR:#REF! M 2021 1000 mt 7_1 ERROR:#REF! 28886605.71625
ERROR:#REF! M 2021 1000 mt 7_2 ERROR:#REF! 14237419.10164
ERROR:#REF! M 2021 1000 mt 7_3 ERROR:#REF! 16625186.0327
ERROR:#REF! M 2021 1000 mt 7_3_1 ERROR:#REF! 4930.57
ERROR:#REF! M 2021 1000 mt 7_3_2 ERROR:#REF! 16620255.4627
ERROR:#REF! M 2021 1000 mt 7_3_3 ERROR:#REF! 16618713.2827
ERROR:#REF! M 2021 1000 mt 7_3_4 ERROR:#REF! 16618713.2827
ERROR:#REF! M 2021 1000 mt 7_4 ERROR:#REF! 1542.18
ERROR:#REF! M 2021 1000 mt 8 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 mt 8_1 ERROR:#REF! 166784.72
ERROR:#REF! M 2021 1000 mt 8_2 ERROR:#REF! 156530
ERROR:#REF! M 2021 1000 mt 9 ERROR:#REF! 10254.72
ERROR:#REF! M 2021 1000 mt 10 ERROR:#REF! 20081.80954
ERROR:#REF! M 2021 1000 mt 10_1 ERROR:#REF! 11240.3301
ERROR:#REF! M 2021 1000 mt 10_1_1 ERROR:#REF! 2147.11393
ERROR:#REF! M 2021 1000 mt 10_1_2 ERROR:#REF! 20.557
ERROR:#REF! M 2021 1000 mt 10_1_3 ERROR:#REF! 1.65
ERROR:#REF! M 2021 1000 mt 10_1_4 ERROR:#REF! 2116.19993
ERROR:#REF! M 2021 1000 mt 10_2 ERROR:#REF! 8.707
ERROR:#REF! M 2021 1000 mt 10_3 ERROR:#REF! 1172.29198
ERROR:#REF! M 2021 1000 mt 10_3_1 ERROR:#REF! 8106.48346
ERROR:#REF! M 2021 1000 mt 10_3_2 ERROR:#REF! 5253.0944
ERROR:#REF! M 2021 1000 mt 10_3_3 ERROR:#REF! 246.56878
ERROR:#REF! M 2021 1000 mt 10_3_4 ERROR:#REF! 830.98428
ERROR:#REF! M 2021 1000 mt 10_4 ERROR:#REF! 1775.836
ERROR:#REF! M 2021 1000 NAC 1 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 NAC 1_1 ERROR:#REF! 2.727
ERROR:#REF! M 2021 1000 NAC 1_2 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 NAC 1_2_C ERROR:#REF! 2.727
ERROR:#REF! M 2021 1000 NAC 1_2_NC ERROR:#REF! 13231.483
ERROR:#REF! M 2021 1000 NAC 1_2_NC_T ERROR:#REF! 31920.11
ERROR:#REF! M 2021 1000 NAC 2 ERROR:#REF! 1981.181
ERROR:#REF! M 2021 1000 NAC 3 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 NAC 3_1 ERROR:#REF! 595.026
ERROR:#REF! M 2021 1000 NAC 3_2 ERROR:#REF! 283.051
ERROR:#REF! M 2021 1000 NAC 4 ERROR:#REF! 206.591
ERROR:#REF! M 2021 1000 NAC 4_1 ERROR:#REF! 76.46
ERROR:#REF! M 2021 1000 NAC 4_2 ERROR:#REF! 76.46
ERROR:#REF! M 2021 1000 NAC 5 ERROR:#REF! 58.819
ERROR:#REF! M 2021 1000 NAC 5_C ERROR:#REF! 30.297
ERROR:#REF! M 2021 1000 NAC 5_NC ERROR:#REF! 28.522
ERROR:#REF! M 2021 1000 NAC 5_NC_T ERROR:#REF! 334807.13682
ERROR:#REF! M 2021 1000 NAC 6 ERROR:#REF! 329832.38782
ERROR:#REF! M 2021 1000 NAC 6_1 ERROR:#REF! 26.989
ERROR:#REF! M 2021 1000 NAC 6_1_C ERROR:#REF! 86.892
ERROR:#REF! M 2021 1000 NAC 6_1_NC ERROR:#REF! 1407.445
ERROR:#REF! M 2021 1000 NAC 6_1_NC_T ERROR:#REF! 30.056
ERROR:#REF! M 2021 1000 NAC 6_2 ERROR:#REF! 1377.389
ERROR:#REF! M 2021 1000 NAC 6_2_C ERROR:#REF! 63.882
ERROR:#REF! M 2021 1000 NAC 6_2_NC ERROR:#REF! 0
ERROR:#REF! M 2021 1000 NAC 6_2_NC_T ERROR:#REF! 26380.603
ERROR:#REF! M 2021 1000 NAC 6_3 ERROR:#REF! 644.848
ERROR:#REF! M 2021 1000 NAC 6_3_1 ERROR:#REF! 25735.755
ERROR:#REF! M 2021 1000 NAC 6_4 ERROR:#REF! 85.395
ERROR:#REF! M 2021 1000 NAC 6_4_1 ERROR:#REF! 136343.95258
ERROR:#REF! M 2021 1000 NAC 6_4_2 ERROR:#REF! 2589.01
ERROR:#REF! M 2021 1000 NAC 6_4_3 ERROR:#REF! 147208.033
ERROR:#REF! M 2021 1000 NAC 7 ERROR:#REF! 16181.702
ERROR:#REF! M 2021 1000 NAC 7_1 ERROR:#REF! 70878.648
ERROR:#REF! M 2021 1000 NAC 7_2 ERROR:#REF! 60147.683
ERROR:#REF! M 2021 1000 NAC 7_3 ERROR:#REF! 15315.081
ERROR:#REF! M 2021 1000 NAC 7_3_1 ERROR:#REF! 24.159
ERROR:#REF! M 2021 1000 NAC 7_3_2 ERROR:#REF! 15290.922
ERROR:#REF! M 2021 1000 NAC 7_3_3 ERROR:#REF! 15286.098
ERROR:#REF! M 2021 1000 NAC 7_3_4 ERROR:#REF! 15286.098
ERROR:#REF! M 2021 1000 NAC 7_4 ERROR:#REF! 4.824
ERROR:#REF! M 2021 1000 NAC 8 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 NAC 8_1 ERROR:#REF! 129.836
ERROR:#REF! M 2021 1000 NAC 8_2 ERROR:#REF! 113.548
ERROR:#REF! M 2021 1000 NAC 9 ERROR:#REF! 16.288
ERROR:#REF! M 2021 1000 NAC 10 ERROR:#REF! 4791.08227
ERROR:#REF! M 2021 1000 NAC 10_1 ERROR:#REF! 7503.949
ERROR:#REF! M 2021 1000 NAC 10_1_1 ERROR:#REF! 2386.584
ERROR:#REF! M 2021 1000 NAC 10_1_2 ERROR:#REF! 6.952
ERROR:#REF! M 2021 1000 NAC 10_1_3 ERROR:#REF! 0.645
ERROR:#REF! M 2021 1000 NAC 10_1_4 ERROR:#REF! 2287.407
ERROR:#REF! M 2021 1000 NAC 10_2 ERROR:#REF! 91.58
ERROR:#REF! M 2021 1000 NAC 10_3 ERROR:#REF! 1270.187
ERROR:#REF! M 2021 1000 NAC 10_3_1 ERROR:#REF! 4047.176
ERROR:#REF! M 2021 1000 NAC 10_3_2 ERROR:#REF! 2612.161
ERROR:#REF! M 2021 1000 NAC 10_3_3 ERROR:#REF! 201.37
ERROR:#REF! M 2021 1000 NAC 10_3_4 ERROR:#REF! 624.312
ERROR:#REF! M 2021 1000 NAC 10_4 ERROR:#REF! 609.333
ERROR:#REF! M 2022* 1000 m3 1 ERROR:#REF! 0
ERROR:#REF! M 2022* 1000 m3 1_1 ERROR:#REF! 22
ERROR:#REF! M 2022* 1000 m3 1_2 ERROR:#REF! 0
ERROR:#REF! M 2022* 1000 m3 1_2_C ERROR:#REF! 22
ERROR:#REF! M 2022* 1000 m3 1_2_NC ERROR:#REF! 121924.3218
ERROR:#REF! M 2022* 1000 m3 1_2_NC_T ERROR:#REF! 61993.1688
ERROR:#REF! M 2022* 1000 mt 2 ERROR:#REF! 59931.153
ERROR:#REF! M 2022* 1000 m3 3 ERROR:#REF! 0
ERROR:#REF! M 2022* 1000 m3 3_1 ERROR:#REF! 1106.876
ERROR:#REF! M 2022* 1000 m3 3_2 ERROR:#REF! 1197.901
ERROR:#REF! M 2022* 1000 mt 4 ERROR:#REF! 511.745
ERROR:#REF! M 2022* 1000 mt 4_1 ERROR:#REF! 686.156
ERROR:#REF! M 2022* 1000 mt 4_2 ERROR:#REF! 686.156
ERROR:#REF! M 2022* 1000 m3 5 ERROR:#REF! 19.16835
ERROR:#REF! M 2022* 1000 m3 5_C ERROR:#REF! 17.53175
ERROR:#REF! M 2022* 1000 m3 5_NC ERROR:#REF! 1.6366
ERROR:#REF! M 2022* 1000 m3 5_NC_T ERROR:#REF! 2289151.14919
ERROR:#REF! M 2022* 1000 m3 6 ERROR:#REF! 2255830.51303
ERROR:#REF! M 2022* 1000 m3 6_1 ERROR:#REF! 0
ERROR:#REF! M 2022* 1000 m3 6_1_C ERROR:#REF! 650.878
ERROR:#REF! M 2022* 1000 m3 6_1_NC ERROR:#REF! 1623.742
ERROR:#REF! M 2022* 1000 m3 6_1_NC_T ERROR:#REF! 336.51
ERROR:#REF! M 2022* 1000 m3 6_2 ERROR:#REF! 1287.232
ERROR:#REF! M 2022* 1000 m3 6_2_C ERROR:#REF! 150.579
ERROR:#REF! M 2022* 1000 m3 6_2_NC ERROR:#REF! 0
ERROR:#REF! M 2022* 1000 m3 6_2_NC_T ERROR:#REF! 62837.92978
ERROR:#REF! M 2022* 1000 m3 6_3 ERROR:#REF! 363.3187
ERROR:#REF! M 2022* 1000 m3 6_3_1 ERROR:#REF! 62474.61108
ERROR:#REF! M 2022* 1000 m3 6_4 ERROR:#REF! 101.918
ERROR:#REF! M 2022* 1000 m3 6_4_1 ERROR:#REF! 660961.623459999
ERROR:#REF! M 2022* 1000 m3 6_4_2 ERROR:#REF! 7351.824
ERROR:#REF! M 2022* 1000 m3 6_4_3 ERROR:#REF! 70764381.3672
ERROR:#REF! M 2022* 1000 mt 7 ERROR:#REF! 17900604.6898
ERROR:#REF! M 2022* 1000 mt 7_1 ERROR:#REF! 39307091.1177
ERROR:#REF! M 2022* 1000 mt 7_2 ERROR:#REF! 13556685.5597
ERROR:#REF! M 2022* 1000 mt 7_3 ERROR:#REF! 37371035.4384
ERROR:#REF! M 2022* 1000 mt 7_3_1 ERROR:#REF! 1161.6
ERROR:#REF! M 2022* 1000 mt 7_3_2 ERROR:#REF! 37348786.8384
ERROR:#REF! M 2022* 1000 mt 7_3_3 ERROR:#REF! 37266205.6784
ERROR:#REF! M 2022* 1000 mt 7_3_4 ERROR:#REF! 35585216.0084
ERROR:#REF! M 2022* 1000 mt 7_4 ERROR:#REF! 82581.16
ERROR:#REF! M 2022* 1000 mt 8 ERROR:#REF! 21087
ERROR:#REF! M 2022* 1000 mt 8_1 ERROR:#REF! 326535.972
ERROR:#REF! M 2022* 1000 mt 8_2 ERROR:#REF! 243530
ERROR:#REF! M 2022* 1000 mt 9 ERROR:#REF! 83005.972
ERROR:#REF! M 2022* 1000 mt 10 ERROR:#REF! 47674.40633
ERROR:#REF! M 2022* 1000 mt 10_1 ERROR:#REF! 20047.299212
ERROR:#REF! M 2022* 1000 mt 10_1_1 ERROR:#REF! 1971.799427
ERROR:#REF! M 2022* 1000 mt 10_1_2 ERROR:#REF! 39.344
ERROR:#REF! M 2022* 1000 mt 10_1_3 ERROR:#REF! 479.126
ERROR:#REF! M 2022* 1000 mt 10_1_4 ERROR:#REF! 1284.151427
ERROR:#REF! M 2022* 1000 mt 10_2 ERROR:#REF! 169.178
ERROR:#REF! M 2022* 1000 mt 10_3 ERROR:#REF! 5100.69466
ERROR:#REF! M 2022* 1000 mt 10_3_1 ERROR:#REF! 14214.758836
ERROR:#REF! M 2022* 1000 mt 10_3_2 ERROR:#REF! 9540.663297
ERROR:#REF! M 2022* 1000 mt 10_3_3 ERROR:#REF! 1142.445259
ERROR:#REF! M 2022* 1000 mt 10_3_4 ERROR:#REF! 860.23428
ERROR:#REF! M 2022* 1000 mt 10_4 ERROR:#REF! 2671.416
ERROR:#REF! M 2022* 1000 NAC 1 ERROR:#REF! 0
ERROR:#REF! M 2022* 1000 NAC 1_1 ERROR:#REF! 0.66
ERROR:#REF! M 2022* 1000 NAC 1_2 ERROR:#REF! 0
ERROR:#REF! M 2022* 1000 NAC 1_2_C ERROR:#REF! 0.66
ERROR:#REF! M 2022* 1000 NAC 1_2_NC ERROR:#REF! 13523.668
ERROR:#REF! M 2022* 1000 NAC 1_2_NC_T ERROR:#REF! 7457.552
ERROR:#REF! M 2022* 1000 NAC 2 ERROR:#REF! 6066.116
ERROR:#REF! M 2022* 1000 NAC 3 ERROR:#REF! 0
ERROR:#REF! M 2022* 1000 NAC 3_1 ERROR:#REF! 971.189
ERROR:#REF! M 2022* 1000 NAC 3_2 ERROR:#REF! 484.19
ERROR:#REF! M 2022* 1000 NAC 4 ERROR:#REF! 401.076
ERROR:#REF! M 2022* 1000 NAC 4_1 ERROR:#REF! 83.114
ERROR:#REF! M 2022* 1000 NAC 4_2 ERROR:#REF! 83.114
ERROR:#REF! M 2022* 1000 NAC 5 ERROR:#REF! 15.285
ERROR:#REF! M 2022* 1000 NAC 5_C ERROR:#REF! 5.724
ERROR:#REF! M 2022* 1000 NAC 5_NC ERROR:#REF! 9.561
ERROR:#REF! M 2022* 1000 NAC 5_NC_T ERROR:#REF! 440172.871
ERROR:#REF! M 2022* 1000 NAC 6 ERROR:#REF! 433841.768
ERROR:#REF! M 2022* 1000 NAC 6_1 ERROR:#REF! 0
ERROR:#REF! M 2022* 1000 NAC 6_1_C ERROR:#REF! 48.06
ERROR:#REF! M 2022* 1000 NAC 6_1_NC ERROR:#REF! 1415.404
ERROR:#REF! M 2022* 1000 NAC 6_1_NC_T ERROR:#REF! 64.905
ERROR:#REF! M 2022* 1000 NAC 6_2 ERROR:#REF! 1350.499
ERROR:#REF! M 2022* 1000 NAC 6_2_C ERROR:#REF! 50.347
ERROR:#REF! M 2022* 1000 NAC 6_2_NC ERROR:#REF! 0
ERROR:#REF! M 2022* 1000 NAC 6_2_NC_T ERROR:#REF! 37163.64
ERROR:#REF! M 2022* 1000 NAC 6_3 ERROR:#REF! 255.296
ERROR:#REF! M 2022* 1000 NAC 6_3_1 ERROR:#REF! 36908.344
ERROR:#REF! M 2022* 1000 NAC 6_4 ERROR:#REF! 128.249
ERROR:#REF! M 2022* 1000 NAC 6_4_1 ERROR:#REF! 137469.994
ERROR:#REF! M 2022* 1000 NAC 6_4_2 ERROR:#REF! 2137.987
ERROR:#REF! M 2022* 1000 NAC 6_4_3 ERROR:#REF! 188431.118
ERROR:#REF! M 2022* 1000 NAC 7 ERROR:#REF! 27677.626
ERROR:#REF! M 2022* 1000 NAC 7_1 ERROR:#REF! 100767.649
ERROR:#REF! M 2022* 1000 NAC 7_2 ERROR:#REF! 59985.843
ERROR:#REF! M 2022* 1000 NAC 7_3 ERROR:#REF! 37878.736
ERROR:#REF! M 2022* 1000 NAC 7_3_1 ERROR:#REF! 10.046
ERROR:#REF! M 2022* 1000 NAC 7_3_2 ERROR:#REF! 37843.759
ERROR:#REF! M 2022* 1000 NAC 7_3_3 ERROR:#REF! 37740.494
ERROR:#REF! M 2022* 1000 NAC 7_3_4 ERROR:#REF! 36888.704
ERROR:#REF! M 2022* 1000 NAC 7_4 ERROR:#REF! 103.265
ERROR:#REF! M 2022* 1000 NAC 8 ERROR:#REF! 24.931
ERROR:#REF! M 2022* 1000 NAC 8_1 ERROR:#REF! 354.298
ERROR:#REF! M 2022* 1000 NAC 8_2 ERROR:#REF! 181.914
ERROR:#REF! M 2022* 1000 NAC 9 ERROR:#REF! 172.384
ERROR:#REF! M 2022* 1000 NAC 10 ERROR:#REF! 12489.999
ERROR:#REF! M 2022* 1000 NAC 10_1 ERROR:#REF! 26855.876
ERROR:#REF! M 2022* 1000 NAC 10_1_1 ERROR:#REF! 12992.725
ERROR:#REF! M 2022* 1000 NAC 10_1_2 ERROR:#REF! 29.409
ERROR:#REF! M 2022* 1000 NAC 10_1_3 ERROR:#REF! 339.6
ERROR:#REF! M 2022* 1000 NAC 10_1_4 ERROR:#REF! 11525.302
ERROR:#REF! M 2022* 1000 NAC 10_2 ERROR:#REF! 1098.414
ERROR:#REF! M 2022* 1000 NAC 10_3 ERROR:#REF! 7093.366
ERROR:#REF! M 2022* 1000 NAC 10_3_1 ERROR:#REF! 8441.53
ERROR:#REF! M 2022* 1000 NAC 10_3_2 ERROR:#REF! 5342.725
ERROR:#REF! M 2022* 1000 NAC 10_3_3 ERROR:#REF! 1080.466
ERROR:#REF! M 2022* 1000 NAC 10_3_4 ERROR:#REF! 851.46
ERROR:#REF! M 2022* 1000 NAC 10_4 ERROR:#REF! 1166.879
ERROR:#REF! X 2021 1000 m3 1 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 1_1 ERROR:#REF! 11.22
ERROR:#REF! X 2021 1000 m3 1_2 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 1_2_C ERROR:#REF! 11.22
ERROR:#REF! X 2021 1000 m3 1_2_NC ERROR:#REF! 183.85
ERROR:#REF! X 2021 1000 m3 1_2_NC_T ERROR:#REF! 154.02
ERROR:#REF! X 2021 1000 mt 2 ERROR:#REF! 29.83
ERROR:#REF! X 2021 1000 m3 3 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 3_1 ERROR:#REF! 80.33785
ERROR:#REF! X 2021 1000 m3 3_2 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 mt 4 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 mt 4_1 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 mt 4_2 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 5 ERROR:#REF! 2.5
ERROR:#REF! X 2021 1000 m3 5_C ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 5_NC ERROR:#REF! 2.5
ERROR:#REF! X 2021 1000 m3 5_NC_T ERROR:#REF! 944.4
ERROR:#REF! X 2021 1000 m3 6 ERROR:#REF! 542.8
ERROR:#REF! X 2021 1000 m3 6_1 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 6_1_C ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 6_1_NC ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 6_1_NC_T ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 6_2 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 6_2_C ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 6_2_NC ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 6_2_NC_T ERROR:#REF! 222.013
ERROR:#REF! X 2021 1000 m3 6_3 ERROR:#REF! 222.013
ERROR:#REF! X 2021 1000 m3 6_3_1 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 6_4 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 6_4_1 ERROR:#REF! 13464.03866
ERROR:#REF! X 2021 1000 m3 6_4_2 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 6_4_3 ERROR:#REF! 830022.11776
ERROR:#REF! X 2021 1000 mt 7 ERROR:#REF! 5600
ERROR:#REF! X 2021 1000 mt 7_1 ERROR:#REF! 169773.177
ERROR:#REF! X 2021 1000 mt 7_2 ERROR:#REF! 654648.94076
ERROR:#REF! X 2021 1000 mt 7_3 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 mt 7_3_1 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 mt 7_3_2 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 mt 7_3_3 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 mt 7_3_4 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 mt 7_4 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 mt 8 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 mt 8_1 ERROR:#REF! 23666291
ERROR:#REF! X 2021 1000 mt 8_2 ERROR:#REF! 23666291
ERROR:#REF! X 2021 1000 mt 9 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 mt 10 ERROR:#REF! 887.8
ERROR:#REF! X 2021 1000 mt 10_1 ERROR:#REF! 144821.42547631
ERROR:#REF! X 2021 1000 mt 10_1_1 ERROR:#REF! 85799.140859
ERROR:#REF! X 2021 1000 mt 10_1_2 ERROR:#REF! 7788.45042
ERROR:#REF! X 2021 1000 mt 10_1_3 ERROR:#REF! 18788.97914
ERROR:#REF! X 2021 1000 mt 10_1_4 ERROR:#REF! 37680.755174
ERROR:#REF! X 2021 1000 mt 10_2 ERROR:#REF! 21540.956125
ERROR:#REF! X 2021 1000 mt 10_3 ERROR:#REF! 843.455816
ERROR:#REF! X 2021 1000 mt 10_3_1 ERROR:#REF! 99822.62623971
ERROR:#REF! X 2021 1000 mt 10_3_2 ERROR:#REF! 14899.26885
ERROR:#REF! X 2021 1000 mt 10_3_3 ERROR:#REF! 65331.996426
ERROR:#REF! X 2021 1000 mt 10_3_4 ERROR:#REF! 18039.146201
ERROR:#REF! X 2021 1000 mt 10_4 ERROR:#REF! 1552.21476271
ERROR:#REF! X 2021 1000 NAC 1 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC 1_1 ERROR:#REF! 9.011
ERROR:#REF! X 2021 1000 NAC 1_2 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC 1_2_C ERROR:#REF! 9.011
ERROR:#REF! X 2021 1000 NAC 1_2_NC ERROR:#REF! 16.286
ERROR:#REF! X 2021 1000 NAC 1_2_NC_T ERROR:#REF! 8.28
ERROR:#REF! X 2021 1000 NAC 2 ERROR:#REF! 8.006
ERROR:#REF! X 2021 1000 NAC 3 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC 3_1 ERROR:#REF! 16.357
ERROR:#REF! X 2021 1000 NAC 3_2 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC 4 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC 4_1 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC 4_2 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC 5 ERROR:#REF! 0.216
ERROR:#REF! X 2021 1000 NAC 5_C ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC 5_NC ERROR:#REF! 0.216
ERROR:#REF! X 2021 1000 NAC 5_NC_T ERROR:#REF! 375.846
ERROR:#REF! X 2021 1000 NAC 6 ERROR:#REF! 188.086
ERROR:#REF! X 2021 1000 NAC 6_1 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC 6_1_C ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC 6_1_NC ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC 6_1_NC_T ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC 6_2 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC 6_2_C ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC 6_2_NC ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC 6_2_NC_T ERROR:#REF! 34.057
ERROR:#REF! X 2021 1000 NAC 6_3 ERROR:#REF! 34.057
ERROR:#REF! X 2021 1000 NAC 6_3_1 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC 6_4 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC 6_4_1 ERROR:#REF! 2399.583
ERROR:#REF! X 2021 1000 NAC 6_4_2 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC 6_4_3 ERROR:#REF! 4337.748
ERROR:#REF! X 2021 1000 NAC 7 ERROR:#REF! 3.64
ERROR:#REF! X 2021 1000 NAC 7_1 ERROR:#REF! 417.546
ERROR:#REF! X 2021 1000 NAC 7_2 ERROR:#REF! 3916.562
ERROR:#REF! X 2021 1000 NAC 7_3 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC 7_3_1 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC 7_3_2 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC 7_3_3 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC 7_3_4 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC 7_4 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC 8 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC 8_1 ERROR:#REF! 28728.631
ERROR:#REF! X 2021 1000 NAC 8_2 ERROR:#REF! 28728.631
ERROR:#REF! X 2021 1000 NAC 9 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC 10 ERROR:#REF! 169.431
ERROR:#REF! X 2021 1000 NAC 10_1 ERROR:#REF! 148711.32821
ERROR:#REF! X 2021 1000 NAC 10_1_1 ERROR:#REF! 78668.333
ERROR:#REF! X 2021 1000 NAC 10_1_2 ERROR:#REF! 3974.595
ERROR:#REF! X 2021 1000 NAC 10_1_3 ERROR:#REF! 15776.695
ERROR:#REF! X 2021 1000 NAC 10_1_4 ERROR:#REF! 38091.182
ERROR:#REF! X 2021 1000 NAC 10_2 ERROR:#REF! 20825.861
ERROR:#REF! X 2021 1000 NAC 10_3 ERROR:#REF! 1020.553
ERROR:#REF! X 2021 1000 NAC 10_3_1 ERROR:#REF! 105036.54121
ERROR:#REF! X 2021 1000 NAC 10_3_2 ERROR:#REF! 8691.684
ERROR:#REF! X 2021 1000 NAC 10_3_3 ERROR:#REF! 80170.02181
ERROR:#REF! X 2021 1000 NAC 10_3_4 ERROR:#REF! 15022.4884
ERROR:#REF! X 2021 1000 NAC 10_4 ERROR:#REF! 1152.347
ERROR:#REF! X 2022* 1000 m3 1 ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 m3 1_1 ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 m3 1_2 ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 m3 1_2_C ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 m3 1_2_NC ERROR:#REF! 188.15
ERROR:#REF! X 2022* 1000 m3 1_2_NC_T ERROR:#REF! 188.15
ERROR:#REF! X 2022* 1000 mt 2 ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 m3 3 ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 m3 3_1 ERROR:#REF! 112.78
ERROR:#REF! X 2022* 1000 m3 3_2 ERROR:#REF! 1.48
ERROR:#REF! X 2022* 1000 mt 4 ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 mt 4_1 ERROR:#REF! 1.48
ERROR:#REF! X 2022* 1000 mt 4_2 ERROR:#REF! 1.48
ERROR:#REF! X 2022* 1000 m3 5 ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 m3 5_C ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 m3 5_NC ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 m3 5_NC_T ERROR:#REF! 484.41
ERROR:#REF! X 2022* 1000 m3 6 ERROR:#REF! 28
ERROR:#REF! X 2022* 1000 m3 6_1 ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 m3 6_1_C ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 m3 6_1_NC ERROR:#REF! 3.3
ERROR:#REF! X 2022* 1000 m3 6_1_NC_T ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 m3 6_2 ERROR:#REF! 3.3
ERROR:#REF! X 2022* 1000 m3 6_2_C ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 m3 6_2_NC ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 m3 6_2_NC_T ERROR:#REF! 483.747
ERROR:#REF! X 2022* 1000 m3 6_3 ERROR:#REF! 150
ERROR:#REF! X 2022* 1000 m3 6_3_1 ERROR:#REF! 333.747
ERROR:#REF! X 2022* 1000 m3 6_4 ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 m3 6_4_1 ERROR:#REF! 26025.37596
ERROR:#REF! X 2022* 1000 m3 6_4_2 ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 m3 6_4_3 ERROR:#REF! 607000.3507
ERROR:#REF! X 2022* 1000 mt 7 ERROR:#REF! 18726.96
ERROR:#REF! X 2022* 1000 mt 7_1 ERROR:#REF! 202818.294
ERROR:#REF! X 2022* 1000 mt 7_2 ERROR:#REF! 385455.0967
ERROR:#REF! X 2022* 1000 mt 7_3 ERROR:#REF! 372172
ERROR:#REF! X 2022* 1000 mt 7_3_1 ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 mt 7_3_2 ERROR:#REF! 372172
ERROR:#REF! X 2022* 1000 mt 7_3_3 ERROR:#REF! 187654
ERROR:#REF! X 2022* 1000 mt 7_3_4 ERROR:#REF! 187654
ERROR:#REF! X 2022* 1000 mt 7_4 ERROR:#REF! 184518
ERROR:#REF! X 2022* 1000 mt 8 ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 mt 8_1 ERROR:#REF! 25108281.8
ERROR:#REF! X 2022* 1000 mt 8_2 ERROR:#REF! 25108281.8
ERROR:#REF! X 2022* 1000 mt 9 ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 mt 10 ERROR:#REF! 221.24
ERROR:#REF! X 2022* 1000 mt 10_1 ERROR:#REF! 164744.04652967
ERROR:#REF! X 2022* 1000 mt 10_1_1 ERROR:#REF! 101817.141847
ERROR:#REF! X 2022* 1000 mt 10_1_2 ERROR:#REF! 9779.149
ERROR:#REF! X 2022* 1000 mt 10_1_3 ERROR:#REF! 16187.412996
ERROR:#REF! X 2022* 1000 mt 10_1_4 ERROR:#REF! 55417.439021
ERROR:#REF! X 2022* 1000 mt 10_2 ERROR:#REF! 20433.14083
ERROR:#REF! X 2022* 1000 mt 10_3 ERROR:#REF! 785.023523
ERROR:#REF! X 2022* 1000 mt 10_3_1 ERROR:#REF! 107273.25148927
ERROR:#REF! X 2022* 1000 mt 10_3_2 ERROR:#REF! 12880.12755
ERROR:#REF! X 2022* 1000 mt 10_3_3 ERROR:#REF! 76372.368065
ERROR:#REF! X 2022* 1000 mt 10_3_4 ERROR:#REF! 16913.93567427
ERROR:#REF! X 2022* 1000 mt 10_4 ERROR:#REF! 1106.8202
ERROR:#REF! X 2022* 1000 NAC 1 ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 NAC 1_1 ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 NAC 1_2 ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 NAC 1_2_C ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 NAC 1_2_NC ERROR:#REF! 12.473
ERROR:#REF! X 2022* 1000 NAC 1_2_NC_T ERROR:#REF! 12.473
ERROR:#REF! X 2022* 1000 NAC 2 ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 NAC 3 ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 NAC 3_1 ERROR:#REF! 116.916
ERROR:#REF! X 2022* 1000 NAC 3_2 ERROR:#REF! 0.296
ERROR:#REF! X 2022* 1000 NAC 4 ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 NAC 4_1 ERROR:#REF! 0.296
ERROR:#REF! X 2022* 1000 NAC 4_2 ERROR:#REF! 0.296
ERROR:#REF! X 2022* 1000 NAC 5 ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 NAC 5_C ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 NAC 5_NC ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 NAC 5_NC_T ERROR:#REF! 293.597
ERROR:#REF! X 2022* 1000 NAC 6 ERROR:#REF! 5.04
ERROR:#REF! X 2022* 1000 NAC 6_1 ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 NAC 6_1_C ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 NAC 6_1_NC ERROR:#REF! 3.1
ERROR:#REF! X 2022* 1000 NAC 6_1_NC_T ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 NAC 6_2 ERROR:#REF! 3.1
ERROR:#REF! X 2022* 1000 NAC 6_2_C ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 NAC 6_2_NC ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 NAC 6_2_NC_T ERROR:#REF! 304.266
ERROR:#REF! X 2022* 1000 NAC 6_3 ERROR:#REF! 4.679
ERROR:#REF! X 2022* 1000 NAC 6_3_1 ERROR:#REF! 299.587
ERROR:#REF! X 2022* 1000 NAC 6_4 ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 NAC 6_4_1 ERROR:#REF! 3310.941
ERROR:#REF! X 2022* 1000 NAC 6_4_2 ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 NAC 6_4_3 ERROR:#REF! 2969.152
ERROR:#REF! X 2022* 1000 NAC 7 ERROR:#REF! 36.444
ERROR:#REF! X 2022* 1000 NAC 7_1 ERROR:#REF! 587.952
ERROR:#REF! X 2022* 1000 NAC 7_2 ERROR:#REF! 2344.756
ERROR:#REF! X 2022* 1000 NAC 7_3 ERROR:#REF! 483.842
ERROR:#REF! X 2022* 1000 NAC 7_3_1 ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 NAC 7_3_2 ERROR:#REF! 483.842
ERROR:#REF! X 2022* 1000 NAC 7_3_3 ERROR:#REF! 301.124
ERROR:#REF! X 2022* 1000 NAC 7_3_4 ERROR:#REF! 301.124
ERROR:#REF! X 2022* 1000 NAC 7_4 ERROR:#REF! 182.718
ERROR:#REF! X 2022* 1000 NAC 8 ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 NAC 8_1 ERROR:#REF! 34251.402
ERROR:#REF! X 2022* 1000 NAC 8_2 ERROR:#REF! 34251.402
ERROR:#REF! X 2022* 1000 NAC 9 ERROR:#REF! 0
ERROR:#REF! X 2022* 1000 NAC 10 ERROR:#REF! 46.868
ERROR:#REF! X 2022* 1000 NAC 10_1 ERROR:#REF! 203165.662
ERROR:#REF! X 2022* 1000 NAC 10_1_1 ERROR:#REF! 120321.801
ERROR:#REF! X 2022* 1000 NAC 10_1_2 ERROR:#REF! 7302.368
ERROR:#REF! X 2022* 1000 NAC 10_1_3 ERROR:#REF! 17738.358
ERROR:#REF! X 2022* 1000 NAC 10_1_4 ERROR:#REF! 70237.852
ERROR:#REF! X 2022* 1000 NAC 10_2 ERROR:#REF! 25043.223
ERROR:#REF! X 2022* 1000 NAC 10_3 ERROR:#REF! 1314.904
ERROR:#REF! X 2022* 1000 NAC 10_3_1 ERROR:#REF! 130596.657
ERROR:#REF! X 2022* 1000 NAC 10_3_2 ERROR:#REF! 9752.71
ERROR:#REF! X 2022* 1000 NAC 10_3_3 ERROR:#REF! 102150.822
ERROR:#REF! X 2022* 1000 NAC 10_3_4 ERROR:#REF! 17693.41
ERROR:#REF! X 2022* 1000 NAC 10_4 ERROR:#REF! 999.715
ERROR:#REF! M 85810.24631 1000 NAC 11_1 ERROR:#REF! 470.071 JQ3
ERROR:#REF! M 85810.24631 1000 NAC 11_1_C ERROR:#REF! 815.606
ERROR:#REF! M 85810.24631 1000 NAC 11_1_NC ERROR:#REF! 17.14
ERROR:#REF! M 85810.24631 1000 NAC 11_1_NC_T ERROR:#REF! 192.263
ERROR:#REF! M 85810.24631 1000 NAC 11_2 ERROR:#REF! 656.45618
ERROR:#REF! M 85810.24631 1000 NAC 11_3 ERROR:#REF! 16535.76976
ERROR:#REF! M 85810.24631 1000 NAC 11_4 ERROR:#REF! 59966.35147
ERROR:#REF! M 85810.24631 1000 NAC 11_5 ERROR:#REF! 4351.957
ERROR:#REF! M 85810.24631 1000 NAC 11_6 ERROR:#REF! 2821.7719
ERROR:#REF! M 85810.24631 1000 NAC 11_7 ERROR:#REF! 19605.78263
ERROR:#REF! M 85810.24631 1000 NAC 11_7_1 ERROR:#REF! 115.35
ERROR:#REF! M 85810.24631 1000 NAC 12_1 ERROR:#REF! 3758.655
ERROR:#REF! M 85810.24631 1000 NAC 12_2 ERROR:#REF! 1762.132
ERROR:#REF! M 85810.24631 1000 NAC 12_3 ERROR:#REF! 13880.23463
ERROR:#REF! M 85810.24631 1000 NAC 12_4 ERROR:#REF! 209.332
ERROR:#REF! M 85810.24631 1000 NAC 12_5 ERROR:#REF! 130.244
ERROR:#REF! M 85810.24631 1000 NAC 12_6 ERROR:#REF! 0.035
ERROR:#REF! M 85810.24631 1000 NAC 12_6_1 ERROR:#REF! 0
ERROR:#REF! M 85810.24631 1000 NAC 12_6_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 85810.24631 1000 NAC 12_6_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 134609.583 1000 NAC 11_1 ERROR:#REF! 749.159
ERROR:#REF! M 134609.583 1000 NAC 11_1_C ERROR:#REF! 368.614
ERROR:#REF! M 134609.583 1000 NAC 11_1_NC ERROR:#REF! 0
ERROR:#REF! M 134609.583 1000 NAC 11_1_NC_T ERROR:#REF! 747.356
ERROR:#REF! M 134609.583 1000 NAC 11_2 ERROR:#REF! 853.628
ERROR:#REF! M 134609.583 1000 NAC 11_3 ERROR:#REF! 28645.254
ERROR:#REF! M 134609.583 1000 NAC 11_4 ERROR:#REF! 94005.865
ERROR:#REF! M 134609.583 1000 NAC 11_5 ERROR:#REF! 2604.679
ERROR:#REF! M 134609.583 1000 NAC 11_6 ERROR:#REF! 6635.028
ERROR:#REF! M 134609.583 1000 NAC 11_7 ERROR:#REF! 36523.591
ERROR:#REF! M 134609.583 1000 NAC 11_7_1 ERROR:#REF! 175.076
ERROR:#REF! M 134609.583 1000 NAC 12_1 ERROR:#REF! 11597.552
ERROR:#REF! M 134609.583 1000 NAC 12_2 ERROR:#REF! 2492.753
ERROR:#REF! M 134609.583 1000 NAC 12_3 ERROR:#REF! 21257.583
ERROR:#REF! M 134609.583 1000 NAC 12_4 ERROR:#REF! 99.315
ERROR:#REF! M 134609.583 1000 NAC 12_5 ERROR:#REF! 249.951
ERROR:#REF! M 134609.583 1000 NAC 12_6 ERROR:#REF! 609.089
ERROR:#REF! M 134609.583 1000 NAC 12_6_1 ERROR:#REF! 0
ERROR:#REF! M 134609.583 1000 NAC 12_6_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 134609.583 1000 NAC 12_6_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! X 85810.24631 1000 NAC 11_1 ERROR:#REF! 0
ERROR:#REF! X 85810.24631 1000 NAC 11_1_C ERROR:#REF! 1.816
ERROR:#REF! X 85810.24631 1000 NAC 11_1_NC ERROR:#REF! 0
ERROR:#REF! X 85810.24631 1000 NAC 11_1_NC_T ERROR:#REF! 26.131
ERROR:#REF! X 85810.24631 1000 NAC 11_2 ERROR:#REF! 5329.095
ERROR:#REF! X 85810.24631 1000 NAC 11_3 ERROR:#REF! 65.354
ERROR:#REF! X 85810.24631 1000 NAC 11_4 ERROR:#REF! 2606.9867
ERROR:#REF! X 85810.24631 1000 NAC 11_5 ERROR:#REF! 5.658
ERROR:#REF! X 85810.24631 1000 NAC 11_6 ERROR:#REF! 228.40828
ERROR:#REF! X 85810.24631 1000 NAC 11_7 ERROR:#REF! 107028.08409
ERROR:#REF! X 85810.24631 1000 NAC 11_7_1 ERROR:#REF! 135.787
ERROR:#REF! X 85810.24631 1000 NAC 12_1 ERROR:#REF! 1947.70646
ERROR:#REF! X 85810.24631 1000 NAC 12_2 ERROR:#REF! 18718.63898
ERROR:#REF! X 85810.24631 1000 NAC 12_3 ERROR:#REF! 64801.43398
ERROR:#REF! X 85810.24631 1000 NAC 12_4 ERROR:#REF! 521.1479
ERROR:#REF! X 85810.24631 1000 NAC 12_5 ERROR:#REF! 442.572
ERROR:#REF! X 85810.24631 1000 NAC 12_6 ERROR:#REF! 414.996
ERROR:#REF! X 85810.24631 1000 NAC 12_6_1 ERROR:#REF! 0
ERROR:#REF! X 85810.24631 1000 NAC 12_6_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! X 85810.24631 1000 NAC 12_6_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! X 134609.583 1000 NAC 11_1 ERROR:#REF! 18.113
ERROR:#REF! X 134609.583 1000 NAC 11_1_C ERROR:#REF! 6.089
ERROR:#REF! X 134609.583 1000 NAC 11_1_NC ERROR:#REF! 0
ERROR:#REF! X 134609.583 1000 NAC 11_1_NC_T ERROR:#REF! 19.81
ERROR:#REF! X 134609.583 1000 NAC 11_2 ERROR:#REF! 11618.388
ERROR:#REF! X 134609.583 1000 NAC 11_3 ERROR:#REF! 292.449
ERROR:#REF! X 134609.583 1000 NAC 11_4 ERROR:#REF! 6409.595
ERROR:#REF! X 134609.583 1000 NAC 11_5 ERROR:#REF! 53.528
ERROR:#REF! X 134609.583 1000 NAC 11_6 ERROR:#REF! 333.938
ERROR:#REF! X 134609.583 1000 NAC 11_7 ERROR:#REF! 126743.143
ERROR:#REF! X 134609.583 1000 NAC 11_7_1 ERROR:#REF! 129.143
ERROR:#REF! X 134609.583 1000 NAC 12_1 ERROR:#REF! 2721.66
ERROR:#REF! X 134609.583 1000 NAC 12_2 ERROR:#REF! 20432.198
ERROR:#REF! X 134609.583 1000 NAC 12_3 ERROR:#REF! 72777.867
ERROR:#REF! X 134609.583 1000 NAC 12_4 ERROR:#REF! 759.563
ERROR:#REF! X 134609.583 1000 NAC 12_5 ERROR:#REF! 487.531
ERROR:#REF! X 134609.583 1000 NAC 12_6 ERROR:#REF! 1006.045
ERROR:#REF! X 134609.583 1000 NAC 12_6_1 ERROR:#REF! 0
ERROR:#REF! X 134609.583 1000 NAC 12_6_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! X 134609.583 1000 NAC 12_6_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 2021 1000 m3 ST_1_2_C ERROR:#REF! 227474.046 ECEEU
ERROR:#REF! M 2021 1000 m3 ST_1_2_C_1 ERROR:#REF! 221364.755
ERROR:#REF! M 2021 1000 m3 ST_1_2_C_1_1 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 m3 ST_1_2_C_2_1 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 m3 ST_1_2_C_2 ERROR:#REF! 3694.54
ERROR:#REF! M 2021 1000 m3 ST_1_2_C_1_2 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 m3 ST_1_2_C_2_2 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 m3 ST_1_2_C_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 2021 1000 m3 ST_1_2_C_1_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 2021 1000 m3 ST_1_2_C_2_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 2021 1000 m3 ST_1_2_NC ERROR:#REF! 31920.11
ERROR:#REF! M 2021 1000 m3 ST_1_2_NC_1 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 m3 ST_1_2_NC_1_1 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 m3 ST_1_2_NC_2_1 ERROR:#REF! 23743.856
ERROR:#REF! M 2021 1000 m3 ST_1_2_NC_2 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 m3 ST_1_2_NC_1_2 ERROR:#REF! 14774.512
ERROR:#REF! M 2021 1000 m3 ST_1_2_NC_2_2 ERROR:#REF! 7845.5
ERROR:#REF! M 2021 1000 m3 ST_1_2_NC_3 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 m3 ST_1_2_NC_1_3 ERROR:#REF! 2203997.52808
ERROR:#REF! M 2021 1000 m3 ST_1_2_NC_2_3 ERROR:#REF! 1783229.35947
ERROR:#REF! M 2021 1000 m3 ST_1_2_NC_4 ERROR:#REF! 361349.97245
ERROR:#REF! M 2021 1000 m3 ST_1_2_NC_5 ERROR:#REF! 33552.8719
ERROR:#REF! M 2021 1000 m3 ST_5_C ERROR:#REF! 58.008
ERROR:#REF! M 2021 1000 m3 ST_5_C_1 ERROR:#REF! 1837.4624
ERROR:#REF! M 2021 1000 m3 ST_5_C_2 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 m3 ST_5_NC ERROR:#REF! 0
ERROR:#REF! M 2021 1000 m3 ST_5_NC_1 ERROR:#REF! 130.192
ERROR:#REF! M 2021 1000 m3 ST_5_NC_2 ERROR:#REF! 6126.677
ERROR:#REF! M 2021 1000 m3 ST_5_NC_3 ERROR:#REF! 24285.5125
ERROR:#REF! M 2021 1000 m3 ST_5_NC_4 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 m3 ST_5_NC_5 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 m3 ST_5_NC_6 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 m3 ST_5_NC_7 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 2021 1000 NAC ST_1_2_C ERROR:#REF! 11250.302
ERROR:#REF! M 2021 1000 NAC ST_1_2_C_1 ERROR:#REF! 10967.566
ERROR:#REF! M 2021 1000 NAC ST_1_2_C_1_1 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 NAC ST_1_2_C_2_1 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 NAC ST_1_2_C_2 ERROR:#REF! 146.839
ERROR:#REF! M 2021 1000 NAC ST_1_2_C_1_2 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 NAC ST_1_2_C_2_2 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 NAC ST_1_2_C_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 2021 1000 NAC ST_1_2_C_1_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 2021 1000 NAC ST_1_2_C_2_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 2021 1000 NAC ST_1_2_NC ERROR:#REF! 1981.181
ERROR:#REF! M 2021 1000 NAC ST_1_2_NC_1 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 NAC ST_1_2_NC_1_1 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 NAC ST_1_2_NC_2_1 ERROR:#REF! 1744.748
ERROR:#REF! M 2021 1000 NAC ST_1_2_NC_2 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 NAC ST_1_2_NC_1_2 ERROR:#REF! 932.674
ERROR:#REF! M 2021 1000 NAC ST_1_2_NC_2_2 ERROR:#REF! 224.942
ERROR:#REF! M 2021 1000 NAC ST_1_2_NC_3 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 NAC ST_1_2_NC_1_3 ERROR:#REF! 329832.38782
ERROR:#REF! M 2021 1000 NAC ST_1_2_NC_2_3 ERROR:#REF! 270626.11228
ERROR:#REF! M 2021 1000 NAC ST_1_2_NC_4 ERROR:#REF! 49799.73608
ERROR:#REF! M 2021 1000 NAC ST_1_2_NC_5 ERROR:#REF! 4974.749
ERROR:#REF! M 2021 1000 NAC ST_5_C ERROR:#REF! 47.187
ERROR:#REF! M 2021 1000 NAC ST_5_C_1 ERROR:#REF! 623.49
ERROR:#REF! M 2021 1000 NAC ST_5_C_2 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 NAC ST_5_NC ERROR:#REF! 0
ERROR:#REF! M 2021 1000 NAC ST_5_NC_1 ERROR:#REF! 47.785
ERROR:#REF! M 2021 1000 NAC ST_5_NC_2 ERROR:#REF! 455.898
ERROR:#REF! M 2021 1000 NAC ST_5_NC_3 ERROR:#REF! 3501.513
ERROR:#REF! M 2021 1000 NAC ST_5_NC_4 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 NAC ST_5_NC_5 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 NAC ST_5_NC_6 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 NAC ST_5_NC_7 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 2022 1000 m3 ST_1_2_C ERROR:#REF! 61993.1688
ERROR:#REF! M 2022 1000 m3 ST_1_2_C_1 ERROR:#REF! 61956.9788
ERROR:#REF! M 2022 1000 m3 ST_1_2_C_1_1 ERROR:#REF! 0
ERROR:#REF! M 2022 1000 m3 ST_1_2_C_2_1 ERROR:#REF! 0
ERROR:#REF! M 2022 1000 m3 ST_1_2_C_2 ERROR:#REF! 1.55
ERROR:#REF! M 2022 1000 m3 ST_1_2_C_1_2 ERROR:#REF! 0
ERROR:#REF! M 2022 1000 m3 ST_1_2_C_2_2 ERROR:#REF! 0
ERROR:#REF! M 2022 1000 m3 ST_1_2_C_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 2022 1000 m3 ST_1_2_C_1_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 2022 1000 m3 ST_1_2_C_2_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 2022 1000 m3 ST_1_2_NC ERROR:#REF! 59931.153
ERROR:#REF! M 2022 1000 m3 ST_1_2_NC_1 ERROR:#REF! 0
ERROR:#REF! M 2022 1000 m3 ST_1_2_NC_1_1 ERROR:#REF! 0
ERROR:#REF! M 2022 1000 m3 ST_1_2_NC_2_1 ERROR:#REF! 56864.08
ERROR:#REF! M 2022 1000 m3 ST_1_2_NC_2 ERROR:#REF! 0
ERROR:#REF! M 2022 1000 m3 ST_1_2_NC_1_2 ERROR:#REF! 36840.601
ERROR:#REF! M 2022 1000 m3 ST_1_2_NC_2_2 ERROR:#REF! 3045.223
ERROR:#REF! M 2022 1000 m3 ST_1_2_NC_3 ERROR:#REF! 0
ERROR:#REF! M 2022 1000 m3 ST_1_2_NC_1_3 ERROR:#REF! 2255830.51303
ERROR:#REF! M 2022 1000 m3 ST_1_2_NC_2_3 ERROR:#REF! 1756926.36348
ERROR:#REF! M 2022 1000 m3 ST_1_2_NC_4 ERROR:#REF! 422278.59166
ERROR:#REF! M 2022 1000 m3 ST_1_2_NC_5 ERROR:#REF! 33320.63616
ERROR:#REF! M 2022 1000 m3 ST_5_C ERROR:#REF! 138.4
ERROR:#REF! M 2022 1000 m3 ST_5_C_1 ERROR:#REF! 829.203
ERROR:#REF! M 2022 1000 m3 ST_5_C_2 ERROR:#REF! 0
ERROR:#REF! M 2022 1000 m3 ST_5_NC ERROR:#REF! 0
ERROR:#REF! M 2022 1000 m3 ST_5_NC_1 ERROR:#REF! 16.385
ERROR:#REF! M 2022 1000 m3 ST_5_NC_2 ERROR:#REF! 946.724
ERROR:#REF! M 2022 1000 m3 ST_5_NC_3 ERROR:#REF! 28748.044
ERROR:#REF! M 2022 1000 m3 ST_5_NC_4 ERROR:#REF! 0
ERROR:#REF! M 2022 1000 m3 ST_5_NC_5 ERROR:#REF! 0
ERROR:#REF! M 2022 1000 m3 ST_5_NC_6 ERROR:#REF! 0
ERROR:#REF! M 2022 1000 m3 ST_5_NC_7 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 2022 1000 NAC ST_1_2_C ERROR:#REF! 7457.552
ERROR:#REF! M 2022 1000 NAC ST_1_2_C_1 ERROR:#REF! 7449.435
ERROR:#REF! M 2022 1000 NAC ST_1_2_C_1_1 ERROR:#REF! 0
ERROR:#REF! M 2022 1000 NAC ST_1_2_C_2_1 ERROR:#REF! 0
ERROR:#REF! M 2022 1000 NAC ST_1_2_C_2 ERROR:#REF! 0.114
ERROR:#REF! M 2022 1000 NAC ST_1_2_C_1_2 ERROR:#REF! 0
ERROR:#REF! M 2022 1000 NAC ST_1_2_C_2_2 ERROR:#REF! 0
ERROR:#REF! M 2022 1000 NAC ST_1_2_C_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 2022 1000 NAC ST_1_2_C_1_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 2022 1000 NAC ST_1_2_C_2_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 2022 1000 NAC ST_1_2_NC ERROR:#REF! 6066.116
ERROR:#REF! M 2022 1000 NAC ST_1_2_NC_1 ERROR:#REF! 0
ERROR:#REF! M 2022 1000 NAC ST_1_2_NC_1_1 ERROR:#REF! 0
ERROR:#REF! M 2022 1000 NAC ST_1_2_NC_2_1 ERROR:#REF! 5954.553
ERROR:#REF! M 2022 1000 NAC ST_1_2_NC_2 ERROR:#REF! 0
ERROR:#REF! M 2022 1000 NAC ST_1_2_NC_1_2 ERROR:#REF! 3804.083
ERROR:#REF! M 2022 1000 NAC ST_1_2_NC_2_2 ERROR:#REF! 109.933
ERROR:#REF! M 2022 1000 NAC ST_1_2_NC_3 ERROR:#REF! 0
ERROR:#REF! M 2022 1000 NAC ST_1_2_NC_1_3 ERROR:#REF! 433841.768
ERROR:#REF! M 2022 1000 NAC ST_1_2_NC_2_3 ERROR:#REF! 338819.236
ERROR:#REF! M 2022 1000 NAC ST_1_2_NC_4 ERROR:#REF! 79072.603
ERROR:#REF! M 2022 1000 NAC ST_1_2_NC_5 ERROR:#REF! 6331.103
ERROR:#REF! M 2022 1000 NAC ST_5_C ERROR:#REF! 158.641
ERROR:#REF! M 2022 1000 NAC ST_5_C_1 ERROR:#REF! 318.438
ERROR:#REF! M 2022 1000 NAC ST_5_C_2 ERROR:#REF! 0
ERROR:#REF! M 2022 1000 NAC ST_5_NC ERROR:#REF! 0
ERROR:#REF! M 2022 1000 NAC ST_5_NC_1 ERROR:#REF! 44.435
ERROR:#REF! M 2022 1000 NAC ST_5_NC_2 ERROR:#REF! 286.464
ERROR:#REF! M 2022 1000 NAC ST_5_NC_3 ERROR:#REF! 4978.258
ERROR:#REF! M 2022 1000 NAC ST_5_NC_4 ERROR:#REF! 0
ERROR:#REF! M 2022 1000 NAC ST_5_NC_5 ERROR:#REF! 0
ERROR:#REF! M 2022 1000 NAC ST_5_NC_6 ERROR:#REF! 0
ERROR:#REF! M 2022 1000 NAC ST_5_NC_7 ERROR:#REF! ERROR:#REF!
ERROR:#REF! X 2021 1000 m3 ST_1_2_C ERROR:#REF! 154.02
ERROR:#REF! X 2021 1000 m3 ST_1_2_C_1 ERROR:#REF! 154.02
ERROR:#REF! X 2021 1000 m3 ST_1_2_C_1_1 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 ST_1_2_C_2_1 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 ST_1_2_C_2 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 ST_1_2_C_1_2 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 ST_1_2_C_2_2 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 ST_1_2_C_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! X 2021 1000 m3 ST_1_2_C_1_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! X 2021 1000 m3 ST_1_2_C_2_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! X 2021 1000 m3 ST_1_2_NC ERROR:#REF! 29.83
ERROR:#REF! X 2021 1000 m3 ST_1_2_NC_1 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 ST_1_2_NC_1_1 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 ST_1_2_NC_2_1 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 ST_1_2_NC_2 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 ST_1_2_NC_1_2 ERROR:#REF! 24.83
ERROR:#REF! X 2021 1000 m3 ST_1_2_NC_2_2 ERROR:#REF! 5
ERROR:#REF! X 2021 1000 m3 ST_1_2_NC_3 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 ST_1_2_NC_1_3 ERROR:#REF! 542.8
ERROR:#REF! X 2021 1000 m3 ST_1_2_NC_2_3 ERROR:#REF! 442.8
ERROR:#REF! X 2021 1000 m3 ST_1_2_NC_4 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 ST_1_2_NC_5 ERROR:#REF! 401.6
ERROR:#REF! X 2021 1000 m3 ST_5_C ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 ST_5_C_1 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 ST_5_C_2 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 ST_5_NC ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 ST_5_NC_1 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 ST_5_NC_2 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 ST_5_NC_3 ERROR:#REF! 283.6
ERROR:#REF! X 2021 1000 m3 ST_5_NC_4 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 ST_5_NC_5 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 ST_5_NC_6 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 ST_5_NC_7 ERROR:#REF! ERROR:#REF!
ERROR:#REF! X 2021 1000 NAC ST_1_2_C ERROR:#REF! 8.28
ERROR:#REF! X 2021 1000 NAC ST_1_2_C_1 ERROR:#REF! 8.28
ERROR:#REF! X 2021 1000 NAC ST_1_2_C_1_1 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC ST_1_2_C_2_1 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC ST_1_2_C_2 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC ST_1_2_C_1_2 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC ST_1_2_C_2_2 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC ST_1_2_C_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! X 2021 1000 NAC ST_1_2_C_1_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! X 2021 1000 NAC ST_1_2_C_2_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! X 2021 1000 NAC ST_1_2_NC ERROR:#REF! 8.006
ERROR:#REF! X 2021 1000 NAC ST_1_2_NC_1 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC ST_1_2_NC_1_1 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC ST_1_2_NC_2_1 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC ST_1_2_NC_2 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC ST_1_2_NC_1_2 ERROR:#REF! 6.608
ERROR:#REF! X 2021 1000 NAC ST_1_2_NC_2_2 ERROR:#REF! 1.398
ERROR:#REF! X 2021 1000 NAC ST_1_2_NC_3 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC ST_1_2_NC_1_3 ERROR:#REF! 188.086
ERROR:#REF! X 2021 1000 NAC ST_1_2_NC_2_3 ERROR:#REF! 138.886
ERROR:#REF! X 2021 1000 NAC ST_1_2_NC_4 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC ST_1_2_NC_5 ERROR:#REF! 187.76
ERROR:#REF! X 2021 1000 NAC ST_5_C ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC ST_5_C_1 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC ST_5_C_2 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC ST_5_NC ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC ST_5_NC_1 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC ST_5_NC_2 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC ST_5_NC_3 ERROR:#REF! 171.36
ERROR:#REF! X 2021 1000 NAC ST_5_NC_4 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC ST_5_NC_5 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC ST_5_NC_6 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC ST_5_NC_7 ERROR:#REF! ERROR:#REF!
ERROR:#REF! X 2022 1000 m3 ST_1_2_C ERROR:#REF! 188.15
ERROR:#REF! X 2022 1000 m3 ST_1_2_C_1 ERROR:#REF! 188.15
ERROR:#REF! X 2022 1000 m3 ST_1_2_C_1_1 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 m3 ST_1_2_C_2_1 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 m3 ST_1_2_C_2 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 m3 ST_1_2_C_1_2 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 m3 ST_1_2_C_2_2 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 m3 ST_1_2_C_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! X 2022 1000 m3 ST_1_2_C_1_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! X 2022 1000 m3 ST_1_2_C_2_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! X 2022 1000 m3 ST_1_2_NC ERROR:#REF! 0
ERROR:#REF! X 2022 1000 m3 ST_1_2_NC_1 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 m3 ST_1_2_NC_1_1 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 m3 ST_1_2_NC_2_1 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 m3 ST_1_2_NC_2 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 m3 ST_1_2_NC_1_2 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 m3 ST_1_2_NC_2_2 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 m3 ST_1_2_NC_3 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 m3 ST_1_2_NC_1_3 ERROR:#REF! 28
ERROR:#REF! X 2022 1000 m3 ST_1_2_NC_2_3 ERROR:#REF! 28
ERROR:#REF! X 2022 1000 m3 ST_1_2_NC_4 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 m3 ST_1_2_NC_5 ERROR:#REF! 456.41
ERROR:#REF! X 2022 1000 m3 ST_5_C ERROR:#REF! 0
ERROR:#REF! X 2022 1000 m3 ST_5_C_1 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 m3 ST_5_C_2 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 m3 ST_5_NC ERROR:#REF! 0
ERROR:#REF! X 2022 1000 m3 ST_5_NC_1 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 m3 ST_5_NC_2 ERROR:#REF! 236.41
ERROR:#REF! X 2022 1000 m3 ST_5_NC_3 ERROR:#REF! 220
ERROR:#REF! X 2022 1000 m3 ST_5_NC_4 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 m3 ST_5_NC_5 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 m3 ST_5_NC_6 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 m3 ST_5_NC_7 ERROR:#REF! ERROR:#REF!
ERROR:#REF! X 2022 1000 NAC ST_1_2_C ERROR:#REF! 12.473
ERROR:#REF! X 2022 1000 NAC ST_1_2_C_1 ERROR:#REF! 12.473
ERROR:#REF! X 2022 1000 NAC ST_1_2_C_1_1 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 NAC ST_1_2_C_2_1 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 NAC ST_1_2_C_2 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 NAC ST_1_2_C_1_2 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 NAC ST_1_2_C_2_2 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 NAC ST_1_2_C_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! X 2022 1000 NAC ST_1_2_C_1_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! X 2022 1000 NAC ST_1_2_C_2_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! X 2022 1000 NAC ST_1_2_NC ERROR:#REF! 0
ERROR:#REF! X 2022 1000 NAC ST_1_2_NC_1 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 NAC ST_1_2_NC_1_1 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 NAC ST_1_2_NC_2_1 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 NAC ST_1_2_NC_2 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 NAC ST_1_2_NC_1_2 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 NAC ST_1_2_NC_2_2 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 NAC ST_1_2_NC_3 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 NAC ST_1_2_NC_1_3 ERROR:#REF! 5.04
ERROR:#REF! X 2022 1000 NAC ST_1_2_NC_2_3 ERROR:#REF! 5.04
ERROR:#REF! X 2022 1000 NAC ST_1_2_NC_4 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 NAC ST_1_2_NC_5 ERROR:#REF! 288.557
ERROR:#REF! X 2022 1000 NAC ST_5_C ERROR:#REF! 0
ERROR:#REF! X 2022 1000 NAC ST_5_C_1 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 NAC ST_5_C_2 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 NAC ST_5_NC ERROR:#REF! 0
ERROR:#REF! X 2022 1000 NAC ST_5_NC_1 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 NAC ST_5_NC_2 ERROR:#REF! 164.057
ERROR:#REF! X 2022 1000 NAC ST_5_NC_3 ERROR:#REF! 124.5
ERROR:#REF! X 2022 1000 NAC ST_5_NC_4 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 NAC ST_5_NC_5 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 NAC ST_5_NC_6 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 NAC ST_5_NC_7 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 m3 1 ERROR:#REF! ERROR:#REF! EU1
ERROR:#REF! EX_M 2021 1000 m3 1_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 m3 1_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 m3 1_2_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 m3 1_2_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 mt 2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 m3 3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 m3 3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 m3 3_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 mt 4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 mt 4_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 mt 4_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 m3 5 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 m3 5_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 m3 5_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 m3 5_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 m3 6 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 m3 6_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 m3 6_1_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 m3 6_1_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 m3 6_1_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 m3 6_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 m3 6_2_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 m3 6_2_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 m3 6_2_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 m3 6_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 m3 6_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 m3 6_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 m3 6_4_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 m3 6_4_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 m3 6_4_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 mt 7 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 mt 7_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 mt 7_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 mt 7_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 mt 7_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 mt 7_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 mt 8 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 mt 8_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 mt 8_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 mt 9 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 mt 10 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 mt 10_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 mt 10_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 mt 10_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 mt 10_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 1_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 1_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 1_2_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 1_2_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 1_2_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 3_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 4_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 4_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 5 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 5_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 5_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 5_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 6 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 6_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 6_1_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 6_1_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 6_1_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 6_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 6_2_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 6_2_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 6_2_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 6_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 6_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 6_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 6_4_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 6_4_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 6_4_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 7 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 7_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 7_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 7_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 7_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 7_3_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 7_3_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 7_3_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 7_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 8 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 8_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 8_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 9 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 10 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 10_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 10_1_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 10_1_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 10_1_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 10_1_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 10_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 10_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 10_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 10_3_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 10_3_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 10_3_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 10_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 m3 1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 m3 1_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 m3 1_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 m3 1_2_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 m3 1_2_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 mt 2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 m3 3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 m3 3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 m3 3_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 mt 4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 mt 4_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 mt 4_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 m3 5 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 m3 5_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 m3 5_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 m3 5_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 m3 6 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 m3 6_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 m3 6_1_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 m3 6_1_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 m3 6_1_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 m3 6_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 m3 6_2_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 m3 6_2_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 m3 6_2_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 m3 6_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 m3 6_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 m3 6_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 m3 6_4_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 m3 6_4_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 m3 6_4_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 mt 7 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 mt 7_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 mt 7_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 mt 7_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 mt 7_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 mt 7_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 mt 8 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 mt 8_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 mt 8_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 mt 9 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 mt 10 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 mt 10_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 mt 10_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 mt 10_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 mt 10_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 1_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 1_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 1_2_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 1_2_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 1_2_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 3_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 4_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 4_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 5 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 5_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 5_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 5_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 6 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 6_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 6_1_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 6_1_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 6_1_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 6_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 6_2_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 6_2_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 6_2_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 6_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 6_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 6_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 6_4_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 6_4_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 6_4_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 7 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 7_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 7_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 7_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 7_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 7_3_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 7_3_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 7_3_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 7_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 8 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 8_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 8_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 9 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 10 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 10_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 10_1_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 10_1_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 10_1_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 10_1_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 10_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 10_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 10_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 10_3_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 10_3_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 10_3_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022* 1000 NAC 10_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 1_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 1_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 1_2_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 1_2_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 3_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 4_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 4_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 5 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 5_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 5_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 5_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 6 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 6_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 6_1_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 6_1_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 6_1_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 6_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 6_2_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 6_2_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 6_2_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 6_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 6_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 6_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 6_4_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 6_4_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 6_4_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 7 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 7_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 7_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 7_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 7_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 7_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 8 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 8_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 8_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 9 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 10 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 10_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 10_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 10_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 10_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 1_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 1_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 1_2_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 1_2_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 1_2_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 3_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 4_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 4_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 5 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 5_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 5_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 5_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 6 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 6_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 6_1_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 6_1_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 6_1_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 6_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 6_2_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 6_2_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 6_2_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 6_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 6_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 6_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 6_4_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 6_4_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 6_4_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 7 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 7_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 7_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 7_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 7_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 7_3_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 7_3_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 7_3_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 7_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 8 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 8_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 8_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 9 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 10 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 10_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 10_1_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 10_1_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 10_1_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 10_1_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 10_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 10_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 10_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 10_3_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 10_3_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 10_3_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 10_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 m3 1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 m3 1_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 m3 1_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 m3 1_2_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 m3 1_2_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 mt 2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 m3 3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 m3 3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 m3 3_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 mt 4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 mt 4_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 mt 4_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 m3 5 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 m3 5_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 m3 5_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 m3 5_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 m3 6 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 m3 6_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 m3 6_1_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 m3 6_1_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 m3 6_1_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 m3 6_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 m3 6_2_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 m3 6_2_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 m3 6_2_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 m3 6_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 m3 6_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 m3 6_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 m3 6_4_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 m3 6_4_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 m3 6_4_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 mt 7 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 mt 7_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 mt 7_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 mt 7_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 mt 7_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 mt 7_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 mt 8 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 mt 8_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 mt 8_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 mt 9 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 mt 10 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 mt 10_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 mt 10_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 mt 10_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 mt 10_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 1_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 1_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 1_2_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 1_2_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 1_2_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 3_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 4_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 4_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 5 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 5_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 5_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 5_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 6 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 6_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 6_1_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 6_1_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 6_1_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 6_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 6_2_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 6_2_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 6_2_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 6_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 6_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 6_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 6_4_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 6_4_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 6_4_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 7 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 7_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 7_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 7_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 7_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 7_3_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 7_3_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 7_3_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 7_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 8 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 8_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 8_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 9 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 10 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 10_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 10_1_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 10_1_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 10_1_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 10_1_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 10_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 10_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 10_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 10_3_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 10_3_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 10_3_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022* 1000 NAC 10_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1 ERROR:#REF! ERROR:#REF! EU2
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_1_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_1_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_2_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_2_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_3_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_3_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_1_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_1_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_2_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_2_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_3_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_3_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1 ERROR:#REF! ERROR:#REF! OB
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_1_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_1_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_1_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_1_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_2_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_2_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_3_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_3_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_1_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_1_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_1_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_1_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_2_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_2_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_3_C ERROR:#REF! ERROR:#REF!
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Database

EVAL_E264ToR_Oct2023

TERMS OF REFERENCE, Project Evaluation, October 2023
E264: Enhancing coherence and integration of economic and social statistics in support of the implementation of 2008 System of National Accounts

Languages and translations
English

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TERMS OF REFERENCE

E264: Enhancing coherence and integration of economic and social statistics in support of the implementation of 2008 System of National Accounts

I. Purpose The purpose of this evaluation is to assess the extent to which the objectives of the UNECE project E264 “Enhancing coherence and integration of economic and social statistics in support of the implementation of 2008 System of National Accounts” were achieved.

The evaluation will assess the relevance, effectiveness, efficiency and sustainability of the project.

The evaluation will also assess any impacts the project may have had on progressing human rights, gender equality, disability inclusion, climate change and disaster risk reduction in the context of this engagement. The evaluation will finally look at the activities repurposed to address the impact of the COVID-19 crisis, and assess, to the extent possible, UNECE’s COVID-19 early response through this project.

II. Background The project aimed at increasing the capacity of countries in Eastern Europe, Caucasus and Central Asia in compiling national accounts and supporting statistics according to the recommendations of international statistical standards. The activities of the project included the following four modules:

1) Methods and compilation techniques for implementation of the 2008 SNA and supporting economic statistics.

2) Price statistics - development of price indices and deflators for national accounts aggregates. 3) Statistical business registers - improving coverage and accuracy of national statistical business

registers. 4) Expanding the use of household surveys for the estimates of the informal sector and

remittances.

The activities were carried out in cooperation with other international and regional partners, including CIS-STAT, EFTA, Eurostat, ILO, IMF, OECD and World Bank.

III. Evaluation objectives, scope and questions The evaluation will be guided by the objectives, indicators of achievement and means of verification established in the logical framework of the project document. The evaluation will be conducted in Q3 of 2023. It will cover the full implementation of the project, from June 2017 to June 2023 in Eastern Europe, Caucasus and Central Asia (Armenia, Azerbaijan, Belarus, Georgia, Kazakhstan, Kyrgyzstan, Moldova, Russian Federation, Tajikistan, Turkmenistan, Ukraine and Uzbekistan)

The final evaluation of the project has the following specific objectives:

• Determine as systematically and objectively as possible the relevance, effectiveness, efficiency and sustainability of the project results in light of its goals and objectives.

• Assess how the project activities contributed to gender equality and women’ s empowerment, as well as the realization of human rights, with an emphasis on ‘leaving no one behind’ and, if needed, it will make recommendations on how these considerations can be better addressed in future activities of the subprogramme.

• Identify good practices and lessons learned from the project and formulate action-oriented, forward-looking recommendations addressed to the subprogramme for improving future interventions.

https://en.wikipedia.org/wiki/Armenia
https://en.wikipedia.org/wiki/Azerbaijan
https://en.wikipedia.org/wiki/Belarus
https://en.wikipedia.org/wiki/Georgia_%28country%29
https://en.wikipedia.org/wiki/Kazakhstan
https://en.wikipedia.org/wiki/Kyrgyzstan
https://en.wikipedia.org/wiki/Moldova
https://en.wikipedia.org/wiki/Russian_Federation
https://en.wikipedia.org/wiki/Tajikistan
https://en.wikipedia.org/wiki/Turkmenistan
https://en.wikipedia.org/wiki/Ukraine
https://en.wikipedia.org/wiki/Uzbekistan

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The evaluation criteria are relevance, effectiveness, efficiency and sustainability.

Relevance 1. To what extent was the project design appropriate for meeting the needs of beneficiary

countries? 2. To what extent did the project respond to the priorities and needs of national statistical offices

in beneficiary countries? How relevant were the project activities to the countries’ needs and priorities?

3. To what extent was the project aligned with the SDGs? 4. What takeaways are there for ensuring relevance of future projects of UNEE Statistical

Division? 5. To what extent were gender, human rights and disability perspectives integrated into the design

and implementation of the project? What results can be identified from these actions? How can gender and human rights perspectives be better included in future projects design and implementation?

Effectiveness

6. To what extent were the project objectives and expected results achieved? 7. To what extent did the project improve the competencies of national statistical offices in the

beneficiary countries to produce and use macroeconomic statistics in their countries? 8. To what extent are the project activities coherent and harmonized with those of other partners

operating within the same context, particularly those of other UN system entities? 9. What were the challenges/obstacles (including COVID-19 and sub-regional instability) to

achieving the expected results? How successfully did the project overcome these? 10. What (if anything) has prevented the project from achieving the desired results?

Efficiency

11. Were the resources adequate for achieving the results? 12. Were the results achieved on time and were all activities organized efficiently? 13. To what extent were the resources used economically and how could the use of resources be

improved? Sustainability

14. What measures were adopted to ensure that project outcomes would continue after the project ended and to what extent have these measures addressed the existing risks for sustainability?

15. To what extent do the partners and beneficiaries ‘own’ the outcomes of the work? How is the stakeholders’ engagement likely to continue, be scaled up, replicated, or institutionalized?

IV. Evaluation approach and methodology The evaluation will be conducted in accordance with: the ECE Evaluation Policy1; the Administrative instruction guiding Evaluation in the UN Secretariat 2; and the United Nations Evaluation Group (UNEG) Norms and Standards for Evaluation3. Human rights and gender equality considerations will be integrated at all stages of the evaluation4: (i) in the evaluation scope and questions; (ii) in the methods, tools and data analysis techniques; (iii) in the findings, conclusions and recommendations of the final report. The evaluator will explicitly explain how human rights, gender, disability, SDGs, and climate change considerations will be taken into account during the evaluation.

1 UNECE Evaluation policy 2 ST/AI/2021/3 3 UNEG 2016 Norms and Standards for Evaluation 4 In line with UNEG Guidance contained in Integrating Human Rights and Gender Equality in Evaluations

https://unece.org/sites/default/files/2021-12/Item%2010_ECE_EX_2021_35_Rev1_Evaluation%20Policy_as%20adopted.pdf
http://www.uneval.org/document/detail/1914
http://www.unevaluation.org/document/detail/1616

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The evaluator is required to use a mixed-method approach, including qualitative as well as quantitative data gathering and analysis as the basis for a triangulation exercise of all available data to draw conclusions and findings.

The evaluation should be conducted based on the following mixed methods to triangulate information:

1. A desk review of all relevant documents, including the project document and information on project activities (monitoring data); materials developed in support of the activities (agendas, plans, participant lists, background documents, donor reports and publications); Proposed programme budgets covering the evaluation period; project reports to the donor.

2. Online survey of key stakeholders and beneficiaries: the survey will be developed by the consultant on her/his preferred platform.

3. Interviews (in-person and/or by telephone/video): the evaluator shall interview a wide range of diverse stakeholders and beneficiaries.

4. Remote observation of virtual workshops and meetings, including recordings of meetings.

The evaluator will further elaborate on the evaluation methodology in the Inception Report that will among others include the survey questions and whether any of the 12 countries will be selected for an in-depth assessment. The evaluation report will be written in English, will consist of approximately 30 pages and will include an executive summary (max. 2 pages) describing the evaluation methodology, key findings, conclusions and recommendations. The evaluator will also produce an Evaluation Brief summarizing key evaluation findings, lessons learned and recommendations, including through images and infographics.

V. Evaluation schedule5 May 2023 ToR finalized June 2023 Evaluator selected June 2023 Contract signed. Evaluator starts the desk review July 2023 Evaluator submits inception report including survey design August 2023 Launch of data gathering, including survey and interviews September 2023 Evaluator submits draft evaluation report and evaluation brief October 2023 Evaluator submits final evaluation report and evaluation brief

VI. Resources and Management of the evaluation An independent consultant will be engaged to conduct the evaluation under the management of the PMU. Payment will be made upon satisfactory delivery of work. The Programme Management Unit (PMU) will manage the evaluation and will be involved in the following steps: Selection of the evaluator; Preparation and clearance of the Terms of Reference; Provision of guidance to the Project Manager and evaluator as needed on the evaluation design and methodology; Clearance of the final report after quality assurance of the draft report. The Project Manager, in consultation with the Division Director, will be involved in the following steps: Provide all documentation needed for desk review, contact details, support and guidance to the evaluation consultant as needed throughout the timeline of the evaluation; Advise the evaluator on the recipients for the questionnaire and for follow-up interviews; Process and manage the consultancy contract of the evaluator, along the key milestones agreed with PMU.

5 Final timetable to be agreed following engagement of the evaluator

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VII. Intended use / Next steps The results of the evaluation will be used in the planning and implementation of future activities of the UNECE Economic Cooperation and Integration Subprogramme. Findings of this evaluation will be used when possible to:

• improve direct project’s follow up actions, implementation of products by project beneficiaries and dissemination of the knowledge created through the project;

• assess the gaps and further needs of countries in the area of this project; • formulate tailored capacity building projects to strengthen the national capacity in enhancing

innovation. The results of the evaluation will be reported to the Conference of European Statisticians Following the issuance of the final report, the Project Manager will develop a Management Response for addressing the recommendations made by the evaluator. The final evaluation report, the management response and the progress on implementation of recommendations will be publicly available on the UNECE website.

VIII. Criteria for evaluators The evaluator should have:

1. An advanced university degree or equivalent background in relevant disciplines. 2. Knowledge of and experience in working on data and statistics; knowledge of and experience in

economic statistics desirable. 3. Relevant professional experience in design and management of evaluation processes with multiple

stakeholders, survey design and implementation, project planning, monitoring and management, gender mainstreaming and human-rights due diligence.

4. Demonstrated methodological knowledge of evaluations, including quantitative and qualitative data collection and analysis for end-of-cycle project evaluations, including demonstrated experience in conducting questionnaires and interviews.

5. Fluency in written and spoken English.

Evaluators should declare any conflict of interest to UNECE before embarking on an evaluation project, and at any point where such conflict occurs.

  • I. Purpose
  • II. Background
  • III. Evaluation objectives, scope and questions
    • Relevance
    • Effectiveness
    • Efficiency
    • Sustainability
  • IV. Evaluation approach and methodology
  • V. Evaluation schedule4F
  • VI. Resources and Management of the evaluation
  • VII. Intended use / Next steps
  • VIII. Criteria for evaluators

EVAL-E264_EvalBrief_Oct24

Evaluation Brief of the project E 264

Enhancing coherence and integration of economic and social statistics in support of the implementation of 2008 System of National Accounts (SNA)
UNECE PROJECT E264 – 2017-2023

Languages and translations
English

EVALUATION BRIEF

Enhancing coherence and integration of

economic and social statistics in support of

the implementation of 2008 System of

National Accounts (SNA)

UNECE PROJECT E264 – 2017-2023

BACKGROUND

Since 2010, the UNECE has been actively working to support the implementation of 2008 System of National Accounts and supporting statistics in countries of Eastern Europe, Caucasus, and Central Asia (EECCA). This project was intended to enable the UNECE in carrying out its mandate to support its implementation in the region and build on the activities and progress achieved since 2010. The project was part of the ECASTAT regional trust fund established by the World Bank for assisting countries to improve their statistical systems. The work on the project was guided by the Steering Group on National Accounts. METHODOLOGY The evaluation was conducted using a mixed- method approach to assess whether the planned objectives were met and to assess their relevance, effectiveness, efficiency, and sustainability. Cross-cutting issues such as human rights and gender equality were considered at all stages of the evaluation. The review consisted of a desk review of over 75 available project documents, analysis of the results from the two on-line surveys designed for the purpose of this evaluation and in-depth interviews with key stakeholders/partners to gather more information and assessment of results. Key findings were triangulated and presented in line with the questions contained in the Evaluation Matrix. FINDINGS

The evaluation determined that the project was fully relevant to the objective of the UNECE to increase the capacity of target countries in compiling national accounts and supporting statistics according to the recommendations of the 2008 SNA and other relevant international standards by focusing on the outstanding

priorities identified by the countries. The needs of the countries formed the basis of regional workshops and special sessions designed to address their specific issues or challenges.

The evaluation determined that the project was effective by deploying both traditional and innovative methods to ensure that the objectives and results were achieved. The project consisted of four-interrelated modules with the goal to enhance coherence and integration of economic and social statistics in support of the implementation of 2008 SNA. All activities were completed, and additional ones added with the project extension.

The most significant challenge the project faced was the onset of the COVID-19 pandemic in early 2020. All planned results for 2020 were delayed and had to be realigned. The UNECE quickly adapted to the new global reality and implemented the use of online/virtual meetings to continue the momentum of the project during unprecedented times.

The evaluation determined that the project efficiently achieved its objectives within the allocated budget and adjusted timeframe. The savings associated with the new way of doing business (described above) and the UNECE’s ability to draw on established partnerships to obtain additional resources through in-kind or financial contributions, extended the project to the benefit of the targeted countries. A no-cost extension (granted from 2020-2023) expanded the scope of the project to address outstanding issues, identified by the EECCA countries, resulting from the pandemic.

The benefits of the project will continue after its completion although there will be some challenges. By nature of their mandates, the UNECE Statistical Division and the Steering Group on National Accounts are committed to maintaining and progressing the work undertaken during the project. For the EECCA countries, lack of funding, insufficient experienced staff, staff turnover and limited technical capabilities are likely to be a significant challenge in sustaining the work.

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CONCLUSIONS

The evaluation has determined that the project met is overall aim and achieved its stated objectives. However, the following limitations were identified and should be considered in future action plans. All UNECE work is designed to be as inclusive as possible, however the human rights dimension is a difficult aspect to cover. The human rights dimension was not incorporated in the project proposal and the project outcomes make no explicit reference to human rights. It was evident through the evaluation that women and youth were involved in the project activities and in the evaluation process. However, no gender consideration was recorded in the project’s proposal and no indicator established. It was difficult to determine whether the knowledge and expertise of the staff in national statistical offices improved and/or their capacity to implement standards and recommendations in practice increased. To properly assess these elements could only be achieved through an in-depth country peer review or an update to the Global Assessments. This was not done as part of this evaluation.

RECOMMENDATIONS

In the spirit of continuous learning and based on the findings and good practices identified throughout evaluation, a series of recommendations are intended to help improve future UNECE projects.

1. The global pandemic forced the UNECE to rethink the way it conducted business to ensure continuity of the project. These innovative solutions introduced good practices that should be continued. The UNECE is encouraged to use a hybrid model when organizing its meetings, workshops, and regional sessions in the future. The

introduction of short webinars and the video capture of in-person sessions provided additional learning opportunities. A combination of face-to-face activities and virtual offerings reaches a broader group of people. Using appropriate and tested technologies that accommodates everyone’s participation is encouraged.

2. To properly assess the degree to which the knowledge and expertise of the staff in the national statistical offices of EECCA countries improved and/or their capacity to implement standards and recommendations increased, an in-depth country peer review or update to the Global Assessments should be conducted.

3. Continued sharing of experience and lessons

learned is critical to the ongoing improvement of the statistical system in the beneficiary countries. EECCA participation in the Expert Group meetings is encouraged and where possible regional workshops or special sessions would continue to offer continuous growth and learning.

4. To ensure sustainability, future activities

should continue to be linked to the work programme of the UNECE Statistical Division. Although the budget of the UNECE Statistical Division is limited, it is encouraged to use its exceptional collaboration and outreach skills to secure additional funding from key project stakeholders, be it in-kind or financial resources to expand the scope of its work.

5. For gender and human rights perspectives to

be better included in future projects, there should be an explicit objective built into the project design that can be monitored and evaluated during and at the end of the project. Expertise in gender quality, disability inclusion, environment and or human rights should be sought in the development of these objectives and with the evaluation process.

EVAL_E264-EvaluationReport

UNITED NATIONS ECONOMIC COMMISSION FOR EUROPE - PROJECT E264
ENHANCING COHERENCE AND INTEGRATION OF ECONOMIC AND SOCIAL STATISTICS IN SUPPORT OF
THE IMPLEMENTATION OF 2008 SYSTEM OF NATIONAL ACCOUNTS (SNA)
2017-2020 (EXTENSION FOR 2021-2023)
EVALUATION REPORT
Period of evaluation: July – October 2023
Evaluator: Constance Graziadei
Evaluation commissioned by United Nations Economic Commission for Europe

Languages and translations
English

UNITED NATIONS ECONOMIC COMMISSION FOR EUROPE - PROJECT E264

ENHANCING COHERENCE AND INTEGRATION OF ECONOMIC AND SOCIAL STATISTICS IN SUPPORT OF THE IMPLEMENTATION OF 2008 SYSTEM OF NATIONAL ACCOUNTS (SNA)

2017-2020 (EXTENSION FOR 2021-2023)

EVALUATION REPORT

Period of evaluation: July – October 2023

Evaluator: Constance Graziadei

Evaluation commissioned by United Nations Economic Commission for Europe

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EVALUATION REPORT

The Evaluation report compiled by Constance Graziadei evaluates the UNECE project “Enhancing Coherence and Integration of Economic and Social Statistics in Support of the Implementation of 2008 System of National Accounts” implemented from 2017-2023.

The views and interpretations are those of the author and do not necessarily represent those of the United Nations Economic Commission for Europe (UNECE).

ACKNOWLEDGEMENTS

Ms. Graziadei would like to thank all who contributed to successful completion of this evaluation: to the UNECE Statistical Division who provided access to all the project documentation and support to the process, to all who responded to the two online surveys and to those who generously gave their time to be interviewed. Your contributions are truly appreciated.

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TABLE OF CONTENTS ABBREVIATIONS AND ACRONYMS ........................................................................................................................ 5

EXECUTIVE SUMMARY .......................................................................................................................................... 6

1.0 INTRODUCTION ......................................................................................................................................... 9

1.1 PURPOSE OF THE EVALUATION .................................................................................................................. 10 1.2 OBJECTIVES OF THE EVALUATION .............................................................................................................. 10 1.3 SCOPE OF THE EVALUATION ....................................................................................................................... 10 1.4 EVALUATION METHODOLOGY ................................................................................................................... 11

2.0 FINDINGS ................................................................................................................................................ 12

2.1 RELEVANCE ................................................................................................................................................. 12 Figure 1: Evaluation of the UNECE Project on Economic and Social Statistics ................................................. 13

2.2 EFFECTIVENESS ........................................................................................................................................... 15 2.3 EFFICIENCY .................................................................................................................................................. 17

Table 1: Budget Allocation ................................................................................................................................. 17 Table 2: Initial Project Allocation of Funds and expenditures per module (2017-2020) .................................. 18 Table 3: Budget Allocation for 2021-2023 ......................................................................................................... 18

2.4 SUSTAINABILITY ......................................................................................................................................... 19 Figure 2: Evaluation Survey – Evaluation of the UNECE Project on Economic and Social Statistics ................ 20

2.5 GENDER AND HUMAN RIGHTS CONSIDERATIONS ..................................................................................... 21

3.0 CONCLUSIONS AND RECOMMENDATIONS .............................................................................................. 22

3.1 CONCLUSIONS ............................................................................................................................................ 22 3.2 RECOMMENDATIONS ................................................................................................................................. 23

4.0 ANNEXES ................................................................................................................................................. 24

4.1 TERMS OF REFERENCE FOR THE EVALUATION ........................................................................................... 24 4.2 ONLINE SURVEY QUESTIONNAIRE – BENEFICIARY COUNTRIES ................................................................. 28 4.3 ONLINE SURVEY RESULTS – BENEFICIARY COUNTRIES .............................................................................. 30 4.4 ONLINE SURVEY QUESTIONNAIRE – STAKEHOLDERS/PARTNERS ............................................................. 36 4.5 INTERVIEW GUIDE – KEY STAKEHOLDERS .................................................................................................. 38 4.6 LIST OF PROJECT ACTIVITIES BY MODULE .................................................................................................. 39 4.7 STAKEHOLDERS INVITED FOR IN-DEPTH INTERVIEW ................................................................................. 41 4.8 LIST OF DOCUMENTS REVIEWED ................................................................................................................ 42

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ABBREVIATIONS AND ACRONYMS

CES Conference of European Statisticians

CIS Commonwealth of Independent States

ECASTAT European and Central Asian Statistics

EECCA Eastern Europe, Caucasus, and Central Asia

EFTA European Free Trade Association

ILO International Labour Association

IMF International Monetary Fund

NSO National Statistical Office

OECD Organization for Economic Cooperation and Development

ROSSTAT Russian Federal State Statistical System

SBR Statistical Business Registers

SNA System of National Accounts

SEE South East Europe

SDGs Sustainable Development Goals

UNECE United Nations Economic Commission for Europe

UNESCAP United Nations Economic and Social Commission for Asia and the Pacific

UNSC United Nations Statistical Commission

UNSD United Nations Statistical Division

WB World Bank

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EXECUTIVE SUMMARY The purpose of this evaluation is to assess the extent to which the objectives of the UNECE Project “Enhancing coherence and integration of economic and social statistics in support of the implementation of 2008 SNA” were achieved. This evaluation assessed the relevance, effectiveness, efficiency, and sustainability of the project considering its stated goals and objectives.

The evaluation also attempted to assess how the project’s activities contributed to gender equality and women’s empowerment as well as the realization of human rights. The evaluation considered good practices and lessons learned from the project to formulate recommendations aimed at improving future projects.

The evaluation was carried out through a desk review of all relevant project documentation, analysis of the results of two on-line surveys designed for the purpose of this evaluation and in-depth interviews with key project stakeholders/partners.

The evaluation determined that the project was fully relevant to the objective of the UNECE to increase the capacity of target countries 1 in compiling national accounts and supporting statistics according to the recommendations of the 2008 SNA and other relevant international standards by focusing on the outstanding priority areas identified by the countries. These priority areas were derived from the Global Assessments of countries in the EECCA region, which was jointly carried out by the UNECE, Eurostat and EFTA as well as the regional and national plans for implementation of the 2008 SNA. The project work was guided by the UNECE Steering Group on National Accounts. The project built on the activities and progress achieved in the work to support the implementation of the 2008 SNA and supporting economic statistics in the EECCA region, prior to its inception. Throughout the project, the needs and priorities of the EECCA countries formed the basis of regional workshops and special sessions designed to address their specific issues or challenges.

The most significant challenge to achieving the expected results on time was the onset of the global pandemic in early 2020. All planned activities for 2020 were delayed and had to realigned. The UNECE quickly adapted to the new global reality and implemented the use of online/virtual meetings in order to complete the planned activities. Face-to-face meetings were replaced with online sessions and adjustments were made to accommodate the new way of conducting the project (i.e. shorter sessions over many days). A dedicated wiki page was created to share the results of the activities.

The evaluation determined that the project was effective deploying both traditional and innovative methods to ensure the objectives and results were achieved. The project consisted of four inter-related modules with the goal to enhance coherence and integration of economic and social statistics in support of the implementation of the 2008 SNA. Each module had specific objectives with activities designed to achieve the objectives. All the activities were completed, and additional activities were added with the project extension.

The evaluation determined that the project efficiently achieved its objectives within the allocated budget and adjusted timeframe. As mentioned above, the UNECE introduced virtual meetings to continue the momentum of the project during unprecedented challenges. The savings associated with the new way of doing business and its ability to draw on established partnerships to obtain additional resources through in-kind or financial contributions extended the project to the benefit of the targeted countries. The no-cost extension expanded the scope of the project to address outstanding issues, identified by EECCA countries, resulting from the COVID-19 pandemic. The use of virtual meeting platforms granted a broader access allowing additional stakeholders and partners to participate. This included not only experts from national statistical offices but from their central banks and ministries of finance.

1 The target countries for the project were the 12 EECCA countries of Armenia, Azerbaijan, Belarus, Georgia, Kazakhstan, Kyrgyzstan, Moldova, Russian Federation, Tajikistan, Turkmenistan, Ukraine, and Uzbekistan

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There were limitations to the evaluation. Although all UNECE work is designed to be as inclusive as possible, the human rights dimension is a difficult aspect to cover. The human rights dimension was not incorporated in the project proposal and the project outcomes make no explicit reference to the human rights. No gender consideration was recorded in the project’s proposal and no indicator established.

In addition, to properly assess whether the knowledge and expertise of the staff in the national statistical offices of EECCA countries improved and/or their capacity to implement standards and recommendations in practice could only be achieved through an in-depth country peer review or update to the Global Assessments. This was not done as part of this evaluation.

The benefits of the project will continue after its completion although there will be some challenges. The UNECE has a mandate to support the implementation of 2008 SNA and supporting economics statistics in the EECA region. The Steering Group on National Accounts, established by the Bureau of the Conference of European Statisticians guides the work of the UNECE Statistical Division in the area of national accounts and supporting economic statistics, including activities to support and monitor the implementation of the 2008 SNA in the EECCA and to advise on the provision of methodological recommendations, training and other capacity building activities on national accounts. Country representatives from the EECCA are members of the Steering Group. By nature of their mandates these partners/stakeholders are committed to maintaining and progressing the work undertaken during the project.

Continued sharing of experiences and lessons learned is critical to the ongoing improvement of the statistical system in the beneficiary countries. EECCA participation in the Expert Group meetings is encouraged and where possible special regional workshops would continue to offer continuous growth and learning opportunities. For the EECCA countries, lack of funding, insufficient experienced staff, staff turnover, and limited technical capabilities are likely to be significant challenges in sustaining the work.

In the spirit of continuous learning and based on the findings and good practices identified throughout the evaluation, a series of recommendations are intended to help improve future UNECE activities.

1. The global pandemic forced the UNECE to rethink the way it conducted business to ensure continuity of the project. These innovative solutions introduced good practices that should be continued. The UNECE is encouraged to use a hybrid model when organizing its workshops and regional sessions in the future. The introduction of short webinars and the video capture of in person sessions provided additional learning opportunities. A combination of face-to-face activities and virtual offerings reaches a broader group of people. Using appropriate and tested technologies that accommodates everyone’s participation is encouraged.

2. To properly assess the degree to which the knowledge and expertise of the staff in the national statistical offices of EECCA countries improved and/or their capacity to implement standards and recommendations increased, an in-depth country peer review or update to the Global Assessments should be conducted.

3. Continued sharing of experience and lessons learned is critical to the ongoing improvement of the

statistical system in the beneficiary countries. EECCA participation in the Expert Group meetings is encouraged and where possible regional workshops or special sessions would continue to offer continuous growth and learning.

4. To ensure sustainability, future activities should be linked to the work programme of the UNECE Statistical Division. Although the budget of the UNECE Statistical Division is limited, it is encouraged to use its exceptional collaboration and outreach skills to secure additional funding from key project stakeholders, be it in-kind or financial resources to expand the scope of its work.

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5. For gender and human rights perspectives to be better included in future projects, there should be an explicit objective built into the project design that can be monitored and evaluated during and at the end of the project. Expertise in gender quality, disability inclusion, environment and or human rights should be sought in the development of these objectives and with the evaluation process.

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1.0 INTRODUCTION2 In 2009 at the 40th session of the United Nations Statistical Commission (UNSC), it supported the Global Implementation Strategy for the 2008 System of National Accounts (SNA) and requested to pay particular attention to improving basic economic statistics and to the need for consistency and harmonization across sectoral statistics from other macroeconomic frameworks. The UNSC recognized the role of the UN regional commissions in facilitating coordination and regional cooperation towards the implementation of 2008 SNA. 3 Following the decision, the UNSC, the United Nations Statistics Division (UNSD) requested that regional commissions develop regional implementation plans and establish Steering Groups to guide and coordinate activities.

Since 2010, the UNECE has actively been working to support the implementation of 2008 SNA and supporting statistics in countries of Eastern Europe, Caucasus and Central Asia (EECCA)4. At the request of the UNSC, UNECE developed a regional plan for implementation of 2008 SNA in close cooperation with EECCA and South-East European (SEE) countries.

The regional implementation plan was developed in consultation with the Steering Group on National Accounts, established by the Bureau of the Conference of European Statisticians (CES). The Steering Group on National Accounts guides the work of the UNECE Statistical Division in the area of national accounts and supporting economics statistics, including activities to support and monitor the implementation of the 2008 SNA in the EECCA region and to advise on the provision of methodological recommendations, training and other capacity building activities on national accounts. The Steering Group is composed of representatives of all major regional partners such as CIS-Stat, Eurostat, International Monetary Fund (IMF), Organization for Economic Cooperation and Development (OECD), and UNSD, as well as country representatives from each UNECE sub-region, including from the EECCA.

The ECASTAT project was intended to build on the activities and progress achieved in the work to support the implementation of 2008 SNA and supporting economic statistics in the EECCA region. The project was intended to enable the UNECE in carrying out its mandate to support the implementation of 2008 SNA and supporting statistics in the region.

The project was part of the ECASTAT regional trust fund established by the World Bank for assisting countries to improve their statistical systems.

The overall objective of the Project was to increase the capacity of countries in Eastern Europe, Caucasus and Central Asia in compiling national accounts and supporting statistics according to the recommendations of international statistical standards.5 Another objective was to include overall improvement of the knowledge and

2 ECASTAT Project for 2017-2020. Implementation of 2008 SNA. Enhancing Coherence and Integration of Economic and Social Statistics Support of the Implementation of 2008 SNA. Project Proposal – Concept note 2016

3 Statistical Commission. Report on the fortieth session (24-27 February 2009). https://unstats.un.org/unsd/statcom/doc09/Report-English.pdf

4 The target countries for the project were the 12 EECCA countries of Armenia, Azerbaijan, Belarus, Georgia, Kazakhstan, Kyrgyzstan, Moldova, Russian Federation, Tajikistan, Turkmenistan, Ukraine, and Uzbekistan.

5Enhancing Coherence and Integration of Economic and Social Statistics in Support of the Implementation of 2008 SNA https://www.statswiki.unece.org/display/EC/ECASTAT+Home

https://unstats.un.org/unsd/statcom/doc09/Report-English.pdf
https://www.statswiki.unece.org/display/EC/ECASTAT+Home

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expertise of the staff in the NSOs of EECCA countries regarding relevant international standards and recommendations in practice.

The project was intended to build on existing UNECE programmes to support the implementation of 2008 SNA and supporting statistics in the region, in addition to the global assessments of national statistical systems. It intended to draw on established partnerships with national and international statistical agencies involved in statistical capacity building activities in the region, and in particular, the WB, UNESCAP, IMF, Eurostat, OECD, European Free Trade Association (EFTA), International Labour Organization (ILO), Russian Federal State Statistical System (ROSSTAT), CIS-STAT and other relevant multinational and bilateral partner organizations.

1.1 PURPOSE OF THE EVALUATION The purpose of this evaluation is to assess the extent to which the objectives of the UNECE Project “Enhancing coherence and integration of economic and social statistics in support of the implementation of 2008 SNA” were achieved.

The evaluation assessed the relevance, effectiveness, efficiency, and sustainability of the aforementioned project.

The evaluation also attempted to assess any impacts the project may have had on progressing human rights, gender equality, disability inclusion, climate change and disaster risk reduction in the context of this engagement. The evaluation considered the activities repurposed to address the impact of the COVID-19 crisis and assessed UNECE’s COVID-19 early response.

1.2 OBJECTIVES OF THE EVALUATION

The evaluation of the project has the following specific objectives:

1. Determine, as systematically and objectively as possible, the relevance, effectiveness, efficiency, and sustainability of the project results considering its goals and objectives.

2. Assess how the project activities contributed to gender equality and women’s empowerment, as well as the realization of human rights, with an emphasis on “leaving no one behind” and, if needed, make recommendations on how these considerations can be better addressed in future activities of the sub programme.

3. Identify good practices and lessons learned from the project and formulate action-oriented, forward- looking recommendations addressed to the sub programme for improving future interventions.

1.3 SCOPE OF THE EVALUATION The evaluation covered the full project implementation period 2017-2023 (initially 2017-2020), including the no- cost extension that was granted to the project to cover the period of 2021-2023.

The evaluation was guided by the objectives, indicators of achievement and means of verification established in the initial project proposal and the no-cost extension.

The scope was limited to the activities described in project documents and the evaluation criteria established by the UNECE in its Terms of Reference (see Annex 4.1) for the project evaluation.

The evaluation was conducted ensuring accessible data collection and inclusive consultation, adhering to ethical standards and triangulation of data for inclusion.

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1.4 EVALUATION METHODOLOGY

The evaluation was conducted in accordance with: the ECE Evaluation Policy6; the Administrative instruction guiding Evaluation in the UN Secretariat7; and the United Nations Evaluation Group (UNEG) Norms and Standards for Evaluation8. Human rights and gender equality considerations were integrated at all stages of the evaluation.

The evaluation was guided by the evaluation matrix articulated in the Inception Report and assessed the degree of alignment between the project’s stated objective and outcomes with the results of the activities carried out by the UNECE in the implementation of the project.

The evaluation process included a desk review of all available project documentation, analysis of the results from the two on-line surveys designed for the purpose of this evaluation and interviews with key stakeholders and partners to gather more in-depth information and assessment of results.

1.4.1 Desk Review

The desk review included all project documentation provided by the UNECE Statistical Division, relevant websites and a review of the global assessments conducted jointly by the UNECE, Eurostat and EFTA. The documents reviewed included: the Project proposals - 2017-2020 and 2021-2023; the 11 semi-annual Project progress reports; reports from the meetings, workshops and webinars (including a review of the material presented); the meeting evaluations; the draft World Bank’s Implementation Completion and Results Report, and the 8 available unaudited interim financial reports (June to December 2017 to 30 June 2022). Unfortunately, the final interim financial report covering the final year of the project and the final program financial report were not completed in time for inclusion in the evaluation process. A complete list of documents reviewed are provided in Annex 4.8.

1.4.2 Surveys

Two surveys were conducted in English; one with all beneficiary countries and the second with a select group of stakeholders and partners. The survey questions are included in Annex 4.2 and 4.4 of this report. The surveys were conducted online and available to respondents from 4 - 29 September 2023.

The first survey was sent to beneficiaries of the target countries for the project. 36 individuals (20 women; 16 men) representing 12 countries were invited to participate in the survey. At the close of the collection period, 15 individuals from 8 countries responded (41.6% response rate). Of these responses, 12 respondents represented national statistical offices; 3 represented other domestic agencies; 11 were women and 4 were men. Full results are included in Annex 6.4 to this report.

The second survey was sent to 18 key stakeholders and partners (6 women; 12 men). Even with an extension of the collection period, only 6 responses were received (33% response rate) from 4 men and 2 women. The low response rate limited the type of analysis that could be conducted. The results were used to confirm/challenge the findings identified through the desk review and the in-depth interviews.

6 UNECE Evaluation Policy. https://unece.org/sites/default/files/2021-12/Item10_ECE_EX_2021_35_Evaluation%20Policy.pdf

7 ST/AI/2021/3

8 UNEG 2016 Norms and Standards for Evaluation. https://www.unevaluation.org/document/detail/1914

https://www.unevaluation.org/document/detail/1914

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1.4.3 Interviews

A series of interviews with the stakeholders/partners were conducted to further gather both qualitative and quantitative information. The interviews were conducted by video conference during the month of September 2023. The interview guide is included in Annex 4.5 to this report.

The invitation was sent to 10 key stakeholders/partners (3 women; 7 men) who represented the various components of the project (SNA, CPI, SBR, Informal Sector and Remittances). Nine individuals (2 women; 7 men) graciously gave their time and feedback regarding the various activities and outcomes. Their insights and views were valuable in forming the findings, recommendations and the lessons learned of this evaluation. A list of the key stakeholders is included in Annex 4.7 of this report.

2.0 FINDINGS

2.1 RELEVANCE

2.1.1 To what extent was the project design appropriate for meeting the needs of beneficiary countries?

The project design was appropriate for meeting the needs of the beneficiary countries.

The overall aim of the project was to increase the capacity of EECCA countries in compiling national accounts and supporting statistics according to the recommendations of the 2008 SNA and other relevant international standards, with focus on outstanding priority areas identified by the countries. These priority areas were derived from the Global Assessments of countries in the EECCA region, which was jointly carried out by the UNECE, Eurostat and EFTA as well as the regional and national plans for implementation of the 2008 SNA. The project work was guided by the UNECE Steering Group on National Accounts. The project built on the activities and progress achieved in the work to support the implementation of the 2008 SNA and supporting economic statistics in the EECCA region, prior to its inception.

The project activities included participation of experts from beneficiary countries in UNECE Group meetings, regional workshops and special sessions to ensure capacity building and shared learning within the EECCA countries. The design also included simultaneous interpretation in meetings and workshops and translation of project documentation, training materials and handbooks to Russian to facilitate participation and ongoing work.

At the end of each workshop or meeting, participants were encouraged to share suggestions for improvement and ideas for future agenda items. The feedback and input were used to formulate the agenda and organization of subsequent meetings.

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2.1.2 To what extent did the project respond to the priorities and needs of national statistical offices in beneficiary countries? How relevant were the project activities to the countries’ needs and priorities?

The project responded “to a high extent” to the priorities and needs of national statistical offices in the beneficiary countries.

FIGURE 1: EVALUATION OF THE UNECE PROJECT ON ECONOMIC AND SOCIAL STATISTICS

• Source: Project Evaluation Online survey – Question 5

The results of the online survey of beneficiary countries showed 73% of respondents indicated the project’s activities met their country’s needs to a high extent and 27% to a moderate extent. This finding was also supported in the review of the evaluations of the various activities that were conducted throughout the project. Overall the participants were very satisfied with the workshops and meetings as well as the quality of the discussions and presentations.

During the span of the project, the meetings of the Group of Experts generally included special sessions for the beneficiary countries with topics identified by the countries. For example, the 2017 and 2019 meetings of the Group of Experts on Business Registers included Special Sessions for the EECCA and SSEE countries to encourage exchanges and presentations aimed at improving the coverage and accuracy of Statistical Business Registers and short-term business statistics. In 2017 the UNECE Guidelines on SBR – activities in the CIS was presented and produced in both English and Russian. In 2019 the special session focussed on different CPI data collection methods; the treatment of seasonal items and missing observation; index calculation and weighting; owner- occupied housing and rentals in the CPI; and how to meet user needs in terms of documentation, dissemination and communication of the CPI. All of these topics were developed to achieve the project’s objectives and respond to the beneficiary countries’ needs.

Due to the global pandemic, several activities were delayed, postponed or moved to a virtual platform rather than face-to-face meetings. There were mixed reviews regarding the online forum. The online forum increased the number of experts who could participate in the meetings and workshops as travel was no longer required. However, there were some technical difficulties raised with some of the platforms that were used. Several people consulted during the evaluation process spoke about the value in having face-to-face meetings as many extended discussions and personal learning happen during the breaks and outside the formal meeting agenda.

2.1.3 To what extent was the project aligned with the SDGs?

Partnerships (SDG 17) between stakeholders including governments, international and regional organizations, businesses and academia and civil society are a driving force of UNECE’s work. This includes work to improve connectivity with the regions (SDGs 7, 8, 9, 11,13), and contributing to creating more dynamic and resilient economies (SDGs 7, 8, 9,11, 13). The UNECE works for member countries by supporting evidence-based decision making through reliable statistics and improved monitoring, analysis and policy advice; fostering cooperation

To what extent did the event respond to your country's statistical needs and priorities?

To a high extent To a moderate extent To a low extent Not at all

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among all stakeholders at the country and regional level; building countries’ capacities to implement its norms, conventions and standards.9

Basic sound economics, including key figures of the national accounts are fundamental in relation to the SDGs. Several proposed SDG indicators on income, consumption, and production depend on the availability of comprehensive and high-quality national statistics that are internationally comparable.

The project was designed to help EECCA countries improve the coherence, timeliness and internationally comparability of socio-economic statistics that are crucial for the monitoring of a country’s social and economic progress. The project design encouraged the collaboration of experts from the statistical offices as well as central agency representatives from national banks and finance ministries which improved the coherence of the statistical outputs.

2.1.4 What takeaways are there for ensuring relevance of future projects of UNECE Statistical Division?

The project activities were linked to the work programme of the UNECE Statistical Division to ensure continuity and coordination with international work on national accounts and supporting statistics. This is a critical element for continued success of future projects.

The global pandemic forced the UNECE to examine and implement innovative ways to continue with the activities essential in achieving a successful outcome to the project.

UNECE’s ability to draw on established partnerships and to obtain additional resources through in-kind or financial contributions extended the project to the benefit of the targeted countries and expanded the scope of the project to address outstanding issues, identified by EECCA countries, resulting from the COVID-19 pandemic.

2.1.5 To what extent were gender, human rights and disability perspectives integrated into the design and implementation of the project? What results can be identified from these actions? How can gender and human rights perspectives be better included in future projects design and implementation?

There is no evidence from document review or information gathered throughout this review that gender, human rights and disability perspectives were integrated into the design and implementation of the project. However, it is evident from the evaluation that women and youth were involved in all aspects of the project and persons with disabilities were accommodated throughout the various meetings, workshops and special sessions.

To ensure gender and human rights perspectives be better included in future projects, there should be an explicit objective built into the project design that can be monitored and evaluated during and at the end of the project. Expertise in gender quality, disability inclusion, environment and or human rights should be sought in the development of these objectives and with the evaluation process.

9 SDG Priorities. Supporting countries to achieve the SDGs https://unece.org/sdg-priorities

https://unece.org/sdg-priorities

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2.2 EFFECTIVENESS

2.2.1 To what extent were the project objectives and results achieved?

The overall aim of the project and the expected outcomes were achieved.

The project consisted of four inter-related modules with the overall goal to enhance coherence and integration of economic and social statistics in support of the implementation of the 2008 SNA. The four modules were: Methods and compilation techniques for the implementation of the 2008 SNA and supporting economic statistics; Price Statistics – development of price indices and deflators for national accounts aggregates; Statistical business registers – improving coverage and accuracy of national statistical business registers; and Expanding the use of household surveys for the estimates of the informal sector and remittances.

Each module had specific objectives with activities designed to achieve the objectives (see Annex 6.6 for full details). All the activities within each module were completed and additional activities were added with the project extension. The project activities included participation of experts from EECCA countries in international statistical Expert Group meetings, regional workshops and special sessions designed specifically to address their needs. The project activities also included the development of statistical methods/tools for integrating migration in household surveys and development of training material. The desk review, supported by the online survey results and interviews with key stakeholders, provided evidence that the capacity of countries in compiling national accounts and supporting statistics increased.

However, there were limitations in the evaluation. For example to properly assess whether the knowledge and expertise of the staff in the national statistical offices of EECCA countries improved and/or their capacity to implement standards and recommendations in practice could only be achieved through an in-depth country peer review or update to the Global Assessments.

2.2.2 To what extent did the project improve the competencies of national statistical offices in the beneficiary countries to produce and use macroeconomic statistics in their countries?

The activities of the project were designed and implemented to improve the competencies of national statistical offices in the beneficiary countries.

An explicit example is the Special Session that was organized to support the EECCA and SEE countries on the use of Supply and Use tables (SUTs) as well as Input Output tables (IOTs). SUTs are at the core of National Accounts and represent a framework to ensure better quality, coherency, and consistency of macroeconomic aggregates. A survey among the target countries carried out before the session revealed that 15 countries were developing SUTs, some of them being at initial or experimental estimates. The main challenges identified by countries were lack of suitable data sources, human resources and time constrains. The focus of the special session was to help the EECCA & SEE countries address their challenges. During this session, different IT tools for the compilation of SUTs and IOTs were presented which including a short training session on two tools developed by the IMF to support balancing of SUTs and conversion into IOTs. The Special Session also helped EECCA and SEE countries share experience on data sources and compilation techniques and informed them on new developments in SUTs and IOTs. The evaluation survey at the end of the session showed that 95 percent of the participants considered the session to be very helpful or useful for their future work.

The second concrete example is the development of a harmonized survey module on migration and remittances for countries in EECCA. The survey module, developed within the context of the project, was designed to enable a regular sustainable collection of internationally comparable data on migration and remittances. Improvements in the coverage, exhaustiveness, and comparability of statistics on migration & remittances support SDG monitoring needs, in line with international standards. The module was tested in Tajikistan in late 2019 with a technical assistance mission supported by the project fund. Findings from the pilot test were shared with the EECCA countries in 2020 and the harmonized module was released in 2021 as a standard tool that has been produced in Russian and English.

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2.2.3 To what extent are the project activities coherent and harmonized with those of other partners operating with the same context, particularly those of other UN system entities?

This UNECE-managed project is coherent and harmonized with those of partner organizations. Representatives from EFTA, Eurostat, ILO, OECD, UNSD and World Bank were all consulted during the evaluation and were all very complimentary of the UNECE’s collaboration and coordination expertise. Apart from the World Bank, who was the sponsor of the project, these partners are members of the UNECE Steering Group on National Accounts who guided and advised on the activities undertaken throughout the project.

During this evaluation the UNECE was recognized for its exceptional organization skills and the collaboration with other partners in the international statistical system to provide high quality learning activities. The UNECE was effective at bringing together expertise and ensuring no duplication with other international activities. The team members were also recognized for constantly seeking feedback and input and acting on the information gathered to improve subsequent events/activities. Consultation regarding agenda items and effective advanced planning ensured a positive experience for participants.

In the development of the various activities carried out throughout the project, the UNECE considered the CIS-Stat activities financed by the Trust Fund for Statistical Capacity Building and ensured there were no overlaps between the two projects.

2.2.4 What were the challenges/obstacles (Including COVID-19 and sub-regional instability) to achieving the expected results? How successfully did the project overcome these?

The most significant challenge to achieving the expected results on time was the onset of the global pandemic in early 2020. All planned activities for 2020 had to be adjusted. Face-to-face meetings were replaced with online sessions and adjustments were made to accommodate the new way of conducting the project (ie shorter sessions over many days). A dedicated wiki page was created to share the results of the activities.

In October 2020 a three-day special online session was conducted with a focus on the EECCA countries to provide an overview of the migration and remittances situation in these countries during the pandemic. The session explored the impact of the pandemic on the measurement of migration and remittances and review the use of administrative data in producing migration statistics. A consultant was also hired to carry out a survey on migration and remittances measurement in the pandemic which included data sources, methods and challenges faced and solutions applied. The results of the survey were presented and discussed during the meeting.

The June 2020 meeting of the Group of Experts on Consumer Price Indices had to be postponed to 2021 due to the pandemic. During the meeting in 2021 a draft Guide on producing CPI under lockdown was presented. The Guide provided recommendations and good practices for data collection, imputation methods and communication approaches that countries can refer to in periods of lockdown or extenuating circumstances. The Guide was published in August 2021 and is available in English on the UNECE website.

The second challenge that the project faced was the political instability in the region in 2022. Few mitigation measures are possible as events organized under ECASTAT are technical and not political events.

2.2.5 What (if anything) has prevented the project from achieving the desired results?

All the challenges and obstacles the project faced were addressed. The global pandemic and the forced change in the way the activities were conducted resulted in a no-cost project extension and additional workshops and sessions being organized and conducted. The use of online platforms for workshops and sessions increased the number of participants from targeted countries including statisticians as well as representatives of their central agencies.

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2.3 EFFICIENCY

2.3.1 Were the resources allocated adequate for achieving results?

The project was sponsored by the ECASTAT regional trust fund established by the World Bank for assisting countries to improve their statistical system. According to the Project proposal a budget of $912,00010 (Table 1) was established to support the project.

TABLE 1: BUDGET ALLOCATION Activity Planned events Budget Amount - $912,000

Seminars and workshops

- Expert Group Meetings - Regional Workshops &

Seminars - Interpretation & logistics

- 5 - 6

$508,600

Translation of training material $29,400

Consultants & contractual services $178,000

Consultant – project administration $96,000

Staff Travel - 6 regional workshops $24,000

Miscellaneous costs $58,000

Independent project evaluation $18,000

During the initial project timeframe (2017-2020) $399,000 was used to support the project module activities, project administration and UN Programme support (Table 2). The unused $513,000 was the result of delayed or postponed activities due to the global pandemic as well as an increase in resources to support the project provided by EFTA and the UN Development Account Programme on Statistics and Data. The $513,000 was re-allocated to the no cost project extension that was approved for 2021-2023.

10 All financial figures are in US Dollars

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TABLE 2: INITIAL PROJECT ALLOCATION OF FUNDS AND EXPENDITURES PER MODULE (2017-2020) Modules Budget Expenditures Unused Funds

Methodology & compilation techniques of 2008 SNA

$234,000 $38,000 $196,000

Price Statistics & compilation of national accounts aggregates at constant prices

$142,000 $58,000 $84,000

Improving the coverage and accuracy of statistical business registers & short-term statistics

$116,000 $47,000 $69,000

Expanding the use of household surveys for the estimates of the informal sector and remittances

$248,000 $183,000 $65,000

Project Administration, UN Programme Support and Project Evaluation

$172,000 $73,000 $99,000

TOTAL $912,000 $399,000 $513,000

The following activities were designed and implemented within the project extension: 3 meetings of Group of Experts on National Accounts; 2 meetings of the Group of Expert on Consumer Prices Indices; 1 meeting of the Group of Experts on Business Registers; a workshop on migration statistics and two regional workshops on National Accounts. Table 3 presents the budget allocation for the 2021-2023 project extension.

TABLE 3: BUDGET ALLOCATION FOR 2021-2023

Year Activity Budget

2021 Meeting of the Group of Experts on National Accounts Meeting of the Group of Experts on CPI Workshop on Migration Statistics

$126,000

2022 Meeting of the Group of Experts on National Accounts Meeting of the Group of Experts on Business Registers Regional workshop on National Accounts

$144,000

2023 Meeting of the Group of Experts on National Accounts Meeting of the Group of Experts on CPI Regional workshop on National Accounts

$144,000

Project Administration $49,000

UN Programme support costs $32,410

Independent project evaluation $17,880

TOTAL $513,290

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The final financial reporting information was not completed at the time of this evaluation. However, the evaluation concluded that all the planned activities, including those added as a result of the no-cost extension, were completed. There were 24 Expert Group meetings, webinars, regional workshops, special sessions successfully conducted from 2017-2023 (see Annex 4.6). In addition, training materials were developed, a Guide on Producing CPI under Lockdown11 was developed and a harmonized survey module on migration and remittances for countries in EECCA was created (see 2.2.2 for details).

2.3.2 Were the results achieved on time and were all activities organized efficiently?

The project was completed within the allocated timeframe. Some activities were postponed due to COVID-19 and political unrest in the region, but all were eventually completed albeit in formats different from the original plan. The UNECE quickly adapted to the new global reality and implemented the use of online/virtual meetings in order to complete the planned activities. Efficient use of funds and inter-agency collaboration supported a no-cost extension to the project. The use of virtual meeting platforms increased the number of participants expanding the exchange and experiential learning encouraged by the project.

2.3.3. To what extent were the resources used economically and how could the use of resources be improved?

The financial resources were effectively and efficiently managed. In addition to the funding providing by the ECASTAT Trust Fund, the UNECE collaborated with EFTA which provided funding and in-kind contributions for many of the planned activities UNECE was also able to augment the available resources by using funds from the UN Development Account Programme on Statistics and Data to cover costs such as the participation of national experts in meetings and workshops as well as the critical translation of training materials. The no-cost extension for 2021-2023 was possible due to these additional sources of funding that occurred during the initial project timeframe (2017-2020) as well as the cost savings during COVID-19 due to the delay, postponement or replacement of face-to-face meetings with virtual sessions.

2.4 SUSTAINABILITY

2.4.1 What measures were adopted to ensure that project outcomes would continue after the project ended and to what extent have these measures addressed the existing risks for sustainability?

The following measures have been adopted to ensure the project outcomes continue: all project documentation is available through online channels and all activities encouraged the exchange of good practices and participation of EECCA experts in workshops, meetings and regional sessions. The project stimulated the creation of a network of experts from the EECCA region. This network which includes representatives from the national statistical offices as well as representatives from central banks and ministries of finance aims to improve the institutional cooperation and consistency between the national accounts and balance of payments.

In addition, the guidance notes of the SNA and Balance of Payments Manual, 6th Edition (BPM6) developed by the joint UN Task Team on Informal Economy has been translated into Russian to ensure that the EECCA region is fully involved in the consultation process.

The development of the harmonized survey module for a standard measurement of migration and remittances for countries in EECCA establishes the way in which these countries can arrive at estimates of migration and remittances that support SDG monitoring needs, are in line with international standards and are harmonized among CIS countries. The module is available as a standard tool and produced in Russian and English.

11 United Nations Geneva, 2021 Guide on producing CPI under lockdown https://www.unece.org/statistics/publications/guide-producing-cpi- under-lockdown

https://www.unece.org/statistics/publications/guide-producing-cpi-under-lockdown
https://www.unece.org/statistics/publications/guide-producing-cpi-under-lockdown

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The results of the online survey of beneficiary countries rated the quality of support provided by the UNECE as “excellent” (60%) and “good” (40%). It also showed the extent of the work of the activities still relevant to their country as “to a high extent” (73%) and “to a moderate extent” (20%). When asked whether the outputs of the activities are sustainable, 47% said “to a high extent”; 40% said to a “moderate extent”, and 13% said “to a low extent”. The major risks identified for sustainability included lack of expert staff (67%), staff turnover (47%), limited technical capabilities (53%) and lack of funding (40%).

FIGURE 2: EVALUATION SURVEY – EVALUATION OF THE UNECE PROJECT ON ECONOMIC AND SOCIAL STATISTICS

* source – Project Evaluation Survey – Questions 8 and 6

2.4.2 To what extent do the partners and beneficiaries “own” the outcomes of the work? How is the stakeholders’ engagement likely to continue, be scaled up, replicated or institutionalized?

The UNECE has a mandate to support the implementation of 2008 SNA and supporting economics statistics in the EECA region. The Steering Group on National Accounts, established by the Bureau of the Conference of European Statisticians guides the work of the UNECE Statistical Division in the area of national accounts and supporting economic statistics, including activities to support and monitor the implementation of the 2008 SNA in the EECCA and to advise on the provision of methodological recommendations, training and other capacity building activities on national accounts. Country representatives from the EECCA are members of the Steering Group.

By nature of their mandates these partners/stakeholders are committed to maintaining and progressing the work undertaken during the project.

Continued sharing of experience and lessons learned is critical to the ongoing improvement of the statistical system in the beneficiary countries. EECCA participation in the Expert Group meetings is encouraged and where possible regional workshops would continue to offer continuous growth and learning. Lack of resources and funding are likely to be a major challenge in sustaining the work.

How would you rate the quality of the support provided by the UNECE

Excellent Good Average Poor

To what extent is the work still relevant to your country?

To a high extent To a moderate extent

To a low extent Not at all

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2.5 GENDER AND HUMAN RIGHTS CONSIDERATIONS

Throughout the review, it was evident that women and men were involved in the various project activities, and in the evaluation process. Youth were also involved in the various activities. Consideration was given to those with physical disabilities during the workshops conducted. Training materials were translated to ensure beneficiary countries could learn in their preferred language. However, no gender consideration was recorded in the project’s proposal and no indicator established.

The evaluation process was inclusive by ensuring that a diverse group of stakeholders, partners and beneficiary countries were consulted and encouraged to provide information and input. This included women, men and youth. It is unknown if anyone who was consulted during the process was a person with disabilities. The two online surveys included a question on gender and the survey intended for stakeholders asked a question regarding the participation of women, persons with disabilities, minority groups and youths in the project’s activities and events. The interviews conducted with international and regional partners explored cross cutting questions regarding the inclusion of women, persons with disabilities, minority groups and youth as well as gender and human rights.

Although all UNECE projects are as inclusive as possible, this one included, the human rights dimension is a difficult and complex aspect to cover. The human rights dimension was not incorporated in the project proposal and the project outcomes make no explicit reference to the human rights. It should be considered however, that the Generic Law on Official Statistics (GLOS)12 requires “equal and simultaneous access” to official statistics for all users and is aligned with the United Nations Fundamental Principles of Official Statistics-Principle 1 of Relevance, Impartiality and Equal Access.13 The GLOS was developed within the UNECE Project “Strengthening national capacity in the most vulnerable UNECE countries for the sustainable development of statistics”. It was developed primarily for the beneficiary countries of the project and EECCA countries were consulted throughout its development.

12 https://unece.org/DAM/stats/publications/2016/ECECESSTAT20163_E.pdf

13 https://unstats.un.org/unsd/dnss/hb/E-fundamental%20principles_A4-WEB.pdf

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3.0 CONCLUSIONS AND RECOMMENDATIONS

3.1 CONCLUSIONS

Based on the evaluation findings, the evaluator has the following conclusions.

The overall aim of the project was to increase the capacity of EECCA countries in compiling national accounts and supporting statistics according to the recommendations of the 2008 SNA and other relevant international standards. This was accomplished through a series of four inter-related modules with specific activities designed to achieve the goal to enhance coherence and integration of economic and social statistics in support of the implementation of the 2008 SNA. The project design was appropriate for meeting the needs and priorities of the beneficiary countries. All the activities designed to support the project’s objectives were completed on time and on budget.

Basic sound economics, including key figures of the national accounts are fundamental in relation to the SDGs. Several proposed SDG indicators on income, consumption, and production depend on the availability of comprehensive and high-quality national statistics that are internationally comparable. The project was designed to help EECCA countries improve the coherence, timeliness and internationally comparability of socio-economic statistics that are crucial for the monitoring of a country’s social and economic progress. The project design encouraged the collaboration of experts from the statistical offices as well as central agency representatives from national banks and finance ministries which improved the coherence of the statistical outputs.

The project activities were linked to the work programme of the UNECE Statistical Division to ensure continuity and coordination with international work on national accounts and supporting statistics. This is a critical element for continued success of future projects.

The most significant challenge that the project faced was the unprecedented global pandemic in early 2020 that forced the UNECE to examine and implement innovative ways to continue with the activities essential in achieving a successful outcome to the project. The use of virtual platforms saved costs and increased participation in the workshops and session organized within the project.

Although the UNECE Statistical Division has limited resources, its ability to draw on established partnerships and to obtain additional resources through in-kind or financial contributions extended the project to the benefit of the targeted countries and expanded the scope of the project to address outstanding issues, identified by EECCA countries, resulting from the COVID-19 pandemic.

During this evaluation the UNECE was recognized for its exceptional organization skills and the collaboration with other partners in the international statistical system to provide high quality learning activities. The UNECE was effective at bringing together expertise and ensuring no duplication with other international activities. The team members were also recognized for constantly seeking feedback and input and acting on the information gathered to improve subsequent events/activities. Consultation regarding agenda items and effective advanced planning ensured a positive experience for participants.

All UNECE work is designed to be as inclusive as possible, however, the human rights dimension is a difficult aspect to cover. The human rights dimension was not incorporated in the project proposal and the project outcomes make no explicit reference to the human rights. No gender consideration was recorded in the project’s proposal and no indicator established.

There were limitations in the evaluation. For example to properly assess whether the knowledge and expertise of the staff in the national statistical offices of EECCA countries improved and/or their capacity to implement standards and recommendations in practice could only be achieved through an in-depth country peer review or update to the Global Assessments. This was not done as part of this evaluation.

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3.2 RECOMMENDATIONS

Based on the findings and the good practices identified throughout the evaluation of the project, the evaluator offers the following recommendations for consideration.

1. The global pandemic forced the UNECE to rethink the way it conducted business to ensure continuity of the project. These innovative solutions introduced good practices that should be continued. The UNECE is encouraged to use a hybrid model when organizing its workshops and regional sessions in the future. The introduction of short webinars and the video capture of in person sessions provided additional learning opportunities. A combination of face-to-face activities and virtual offerings reaches a broader group of people. Using appropriate and tested technologies that accommodates everyone’s participation is encouraged.

2. To properly assess the degree to which the knowledge and expertise of the staff in the national statistical offices of EECCA countries improved and/or their capacity to implement standards and recommendations increased, an in-depth country peer review or update to the Global Assessments should be conducted.

3. Continued sharing of experience and lessons learned is critical to the ongoing improvement of the

statistical system in the beneficiary countries. EECCA participation in the Expert Group meetings is encouraged and where possible regional workshops or special sessions would continue to offer continuous growth and learning.

4. To ensure sustainability, future activities should be linked to the work programme of the UNECE Statistical Division. Although the budget of the UNECE Statistical Division is limited, it is encouraged to use its exceptional collaboration and outreach skills to secure additional funding from key project stakeholders, be it in-kind or financial resources.

5. For gender and human rights perspectives to be better included in future projects, there should be an explicit objective built into the project design that can be monitored and evaluated during and at the end of the project. Expertise in gender quality, disability inclusion, environment and or human rights should be sought in the development of these objectives and with the evaluation process.

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4.0 ANNEXES

4.1 TERMS OF REFERENCE FOR THE EVALUATION

I. Purpose

The purpose of this evaluation is to assess the extent to which the objectives of the UNECE project E264 “Enhancing coherence and integration of economic and social statistics in support of the implementation of 2008 System of National Accounts” were achieved.

The evaluation will assess the relevance, effectiveness, efficiency and sustainability of the project.

The evaluation will also assess any impacts the project may have had on progressing human rights, gender equality, disability inclusion, climate change and disaster risk reduction in the context of this engagement. The evaluation will finally look at the activities repurposed to address the impact of the COVID-19 crisis, and assess, to the extent possible, UNECE’s COVID-19 early response through this project.

II. Background

The project aimed at increasing the capacity of countries in Eastern Europe, Caucasus and Central Asia in compiling national accounts and supporting statistics according to the recommendations of international statistical standards. The activities of the project included the following four modules:

1) Methods and compilation techniques for implementation of the 2008 SNA and supporting economic statistics. 2) Price statistics - development of price indices and deflators for national accounts aggregates. 3) Statistical business registers - improving coverage and accuracy of national statistical business registers. 4) Expanding the use of household surveys for the estimates of the informal sector and remittances.

The activities were carried out in cooperation with other international and regional partners, including CIS-STAT, EFTA, Eurostat, ILO, IMF, OECD and World Bank.

III. Evaluation objectives, scope and questions

The evaluation will be guided by the objectives, indicators of achievement and means of verification established in the logical framework of the project document. The evaluation will be conducted in Q3 of 2023. It will cover the full implementation of the project, from June 2017 to June 2023 in Eastern Europe, Caucasus and Central Asia (Armenia, Azerbaijan, Belarus, Georgia, Kazakhstan, Kyrgyzstan, Moldova, Russian Federation, Tajikistan, Turkmenistan, Ukraine and Uzbekistan)

The final evaluation of the project has the following specific objectives:

· Determine as systematically and objectively as possible the relevance, effectiveness, efficiency and sustainability of the project results in light of its goals and objectives. · Assess how the project activities contributed to gender equality and women’ s empowerment, as well as the realization of human rights, with an emphasis on ‘leaving no one behind’ and, if needed, it will make recommendations on how these considerations can be better addressed in future activities of the sub-programme. · Identify good practices and lessons learned from the project and formulate action-oriented, forward- looking recommendations addressed to the sub-programme for improving future interventions.

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The evaluation criteria are relevance, effectiveness, efficiency and sustainability.

Relevance 1. To what extent was the project design appropriate for meeting the needs of beneficiary countries? 2. To what extent did the project respond to the priorities and needs of national statistical offices in beneficiary countries? How relevant were the project activities to the countries’ needs and priorities? 3. To what extent was the project aligned with the SDGs? 4. What takeaways are there for ensuring relevance of future projects of UNEE Statistical Division? 5. To what extent were gender, human rights and disability perspectives integrated into the design and implementation of the project? What results can be identified from these actions? How can gender and human rights perspectives be better included in future projects design and implementation? Effectiveness 6. To what extent were the project objectives and expected results achieved? 7. To what extent did the project improve the competencies of national statistical offices in the beneficiary countries to produce and use macroeconomic statistics in their countries? 8. To what extent are the project activities coherent and harmonized with those of other partners operating within the same context, particularly those of other UN system entities? 9. What were the challenges/obstacles (including COVID-19 and sub-regional instability) to achieving the expected results? How successfully did the project overcome these? 10. What (if anything) has prevented the project from achieving the desired results? Efficiency 11. Were the resources adequate for achieving the results? 12. Were the results achieved on time and were all activities organized efficiently? 13. To what extent were the resources used economically and how could the use of resources be improved? Sustainability 14. What measures were adopted to ensure that project outcomes would continue after the project ended and to what extent have these measures addressed the existing risks for sustainability? 15. To what extent do the partners and beneficiaries ‘own’ the outcomes of the work? How is the stakeholders’ engagement likely to continue, be scaled up, replicated, or institutionalized? IV. Evaluation approach and methodology

The evaluation will be conducted in accordance with: the ECE Evaluation Policy; the Administrative instruction guiding Evaluation in the UN Secretariat; and the United Nations Evaluation Group (UNEG) Norms and Standards for Evaluation. Human rights and gender equality considerations will be integrated at all stages of the evaluation: (i) in the evaluation scope and questions; (ii) in the methods, tools and data analysis techniques; (iii) in the findings, conclusions and recommendations of the final report. The evaluator will explicitly explain how human rights, gender, disability, SDGs, and climate change considerations will be taken into account during the evaluation.

The evaluator is required to use a mixed-method approach, including qualitative as well as quantitative data gathering and analysis as the basis for a triangulation exercise of all available data to draw conclusions and findings.

The evaluation should be conducted based on the following mixed methods to triangulate information: 1. A desk review of all relevant documents, including the project document and information on project activities (monitoring data); materials developed in support of the activities (agendas, plans, participant lists, background documents, donor reports and publications); Proposed programme budgets covering the evaluation period; project reports to the donor.

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2. Online survey of key stakeholders and beneficiaries: the survey will be developed by the consultant on her/his preferred platform. 3. Interviews (in-person and/or by telephone/video): the evaluator shall interview a wide range of diverse stakeholders and beneficiaries. 4. Remote observation of virtual workshops and meetings, including recordings of meetings.

The evaluator will further elaborate on the evaluation methodology in the Inception Report that will among others include the survey questions and whether any of the 12 countries will be selected for an in-depth assessment. The evaluation report will be written in English, will consist of approximately 30 pages and will include an executive summary (max. 2 pages) describing the evaluation methodology, key findings, conclusions and recommendations. The evaluator will also produce an Evaluation Brief summarizing key evaluation findings, lessons learned and recommendations, including through images and infographics.

V. Evaluation schedule

May 2023 ToR finalized June 2023 Evaluator selected June 2023 Contract signed. Evaluator starts the desk review July 2023 Evaluator submits inception report including survey design August 2023 Launch of data gathering, including survey and interviews September 2023 Evaluator submits draft evaluation report and evaluation brief October 2023 Evaluator submits final evaluation report and evaluation brief

VI. Resources and Management of the evaluation

An independent consultant will be engaged to conduct the evaluation under the management of the PMU. Payment will be made upon satisfactory delivery of work.

The Programme Management Unit (PMU) will manage the evaluation and will be involved in the following steps: Selection of the evaluator; Preparation and clearance of the Terms of Reference; Provision of guidance to the Project Manager and evaluator as needed on the evaluation design and methodology; Clearance of the final report after quality assurance of the draft report.

The Project Manager, in consultation with the Division Director, will be involved in the following steps: Provide all documentation needed for desk review, contact details, support and guidance to the evaluation consultant as needed throughout the timeline of the evaluation; Advise the evaluator on the recipients for the questionnaire and for follow-up interviews; Process and manage the consultancy contract of the evaluator, along the key milestones agreed with PMU.

VII. Intended use / Next steps

The results of the evaluation will be used in the planning and implementation of future activities of the UNECE Economic Cooperation and Integration Subprogramme. Findings of this evaluation will be used when possible to: · improve direct project’s follow up actions, implementation of products by project beneficiaries and dissemination of the knowledge created through the project; · assess the gaps and further needs of countries in the area of this project; · formulate tailored capacity building projects to strengthen the national capacity in enhancing innovation.

The results of the evaluation will be reported to the Conference of European Statisticians

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Following the issuance of the final report, the Project Manager will develop a Management Response for addressing the recommendations made by the evaluator. The final evaluation report, the management response and the progress on implementation of recommendations will be publicly available on the UNECE website.

VIII. Criteria for evaluators

The evaluator should have: 1. An advanced university degree or equivalent background in relevant disciplines. 2. Knowledge of and experience in working on data and statistics; knowledge of and experience in economic statistics desirable. 3. Relevant professional experience in design and management of evaluation processes with multiple stakeholders, survey design and implementation, project planning, monitoring and management, gender mainstreaming and human-rights due diligence. 4. Demonstrated methodological knowledge of evaluations, including quantitative and qualitative data collection and analysis for end-of-cycle project evaluations, including demonstrated experience in conducting questionnaires and interviews. 5. Fluency in written and spoken English.

Evaluators should declare any conflict of interest to UNECE before embarking on an evaluation project and at any point where such conflict occurs.

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4.2 ONLINE SURVEY QUESTIONNAIRE – BENEFICIARY COUNTRIES

4.2.1 Introductory text

This online survey is conducted in the context of the evaluation of the UNECE Project: Enhancing Coherence and Integration of Economic and Social Statistics in Support of the Implementation of 2008 System of National Accounts.

The purpose of this survey is to gather the views of target countries and beneficiaries on the events and activities organized by the UNECE associated with this project.

The survey, which contains 15 questions, will be conducted in English and take approximately 15 minutes to complete. All responses are confidential, and no individual can be identified from their responses. UNECE will not have access to the raw survey results but only to aggregated information. Should you have any question or concerns, please contact the evaluator, Constance Graziadei at [email protected].

The survey will be available until Friday 22 September 2023.

Thank you in advance for your participation.

4.2.2 Questionnaire

1. Country • (drop down menu)

2. Which institution do you represent? • National Statistical Office • Other Domestic Agencies (Ministry of Finance, Central Bank) • Other: _______________________

3. Gender of respondent • Male • Female • Other: _________________ • Prefer not to respond

4. What event (meeting or workshop) organised by UNECE have you participate in? • National Accounts event • Price statistics event • Statistical business registers event • Events on expanding the use of household surveys for the estimates of the informal sector and

remittances

5. To what extent did the event (s) respond to your country’s statistical needs and priorities? • To a high extent • To a moderate extent • To a low extent • Not at all • Do not know

6. To what extent is the work of the event (s) still relevant to your county? • To a high extent • To a moderate extent

mailto:[email protected]

29

• To a low extent • Not at all • Do not know

7. To what extent did the activities and outputs from the event help to improve your statistics? • To a high extent • To a moderate extent • To a low extent • Not at all • Do not know

8. How would you rate the quality of the support provided by the UNECE? • Excellent • Good • Average • Poor • Do not know

9. How effective were the regional workshops or the UNECE Expert Group meetings? • Excellent • Good • Average • Poor • Do not know

10. How effective was the sharing of best practices throughout the event (s)? • Excellent • Good • Average • Poor • Do not know

11. To what extent did the project respond to the impact of the COVID-19 pandemic on planned activities? • To a high extent • To a moderate extent • To a low extent • Not at all • Do not know • Not applicable

12. To what extent are the outputs from the event sustainable? • To a high extent • To a moderate extent • To a low extent • Not at all • Do not know

13. What are the main risks for the results to be maintained? Please select all that apply • Lack of expert staff • Staff turnover • Limited technical capacities

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• Lack of funding • Government change • None • Other: ___________________________

14. Are there any lessons learned or good practices from the project that should be considered for future

projects?

Text box

15. Do you have any comments or recommendations?

Text box

4.3 ONLINE SURVEY RESULTS – BENEFICIARY COUNTRIES 15 responses (11 women; 4 men) were received and results analyzed. On average it took respondents 15:27 minutes to complete the questionnaire.

Q1. Country

4

1

4

1 0 0 1 0 1 2

0 0 1

Arm en

ia

Azer baij

an

Belar us

Geo rgi

a

Kaza kh

sta n

Kyrg yzs

tan

Moldova

Mongo lia

Russi an

Fe dera

tio n

Ta jik

ist an

Tu rkm

enist an

Ukra ine

Uzb ek

ist an

Countries Responses

31

Q2. Which institution do you represent?

Q3. Gender

Q4. What events (meeting or workshop) organized by the UNECE did you participate in?

National Statistical Office Other domestic agencies

Gender

Woman Man Prefer not to say Other

11

4 0 0

GENDER Gender

53% 27%

7% 13%

Event participants

System of National Accounts

Price Statistics

Statistical Business Register

Measuring Migration and Remittances

32

Q5. To what extent did the event (s) respond to your country’s statistical needs and priorities?

Q6. To what extent is the work of the event (s) still relevant to your country?

Q7. To what extent did the activities and outputs from the event (s) help to improve your statistics?

11 4

0 0

0 2 4 6 8 10 12

TO A HIGH EXTENT TO A MODERATE EXTENT

TO A LOW EXTENT NOT AT ALL

Statistical needs & priorities

Statistical needs & priorities

To a high extent 7

To a moderate

extent 8

To a low extent 0

Not at all 0

Improve Statistics

To a high extent To a moderate extent

To a low extent Not at all

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Q8. How would you rate the quality of the support provided by the UNECE?

Q9. How effective were the regional workshops or the UNECE Expert Group meetings?

Very effective 12 Somewhat ineffective 0

Somewhat effective 3 Very ineffective 0

Neither effective or ineffective 0 Do not know 0

Q10. How effective was the sharing of best practices throughout the event (s)?

Very effective 12 Somewhat ineffective 0

Somewhat effective 3 Very ineffective 0

Neither effective or ineffective 0 Do not know 0

Q11. To what extent did the project respond to the impact of the COVID-19 pandemic on planned activities?

60%40%

QUALITY OF SUPPORT

Excellent Good

0

1

2

3

4

5

6

7

8

COVID-19 response

To a high extent

To a moderate extent

To a low extent

Not at all

Do not know

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Q12. To what extent are the outputs from the various events sustainable?

Q13. What are the main risks for the results to be maintained? Please select all that apply

Q14. Are there any lessons learned or good practices from the project that should be considered for future projects?

- Measuring and consistent recording of non-observed economy in balance of payments the recording of e-commerce cross boarder transactions cryptocurrencies SPE MNE Groups data and others.

- A lot of theoretical information. - From the learned lessons we have planned the improvement of the statistical data production and tools. - Presentation of the experience of countries with good practices. - Good practices from the project helped us to establish Business Demography statistics and introduce geographical

coordinates in the Statistical Business Register. - Try to give the floor for all participation. - We made a research of card transactions, for 2019, by MCC and reflecting the results by EBOPS, after a presentation of

similar experience during NA Group of expert’s meetings and had a close collaboration with some colleagues to share our experience after 2023 meeting and presentation of our model of estimations of refugee’s transactions in BOP.

Q.15 Do you have any comments or recommendations?

- All UNECE events on price statistics are always very useful and helpful and informative. - We would like to see more workshops on price statistics, with participation from both regional statistical offices and

from countries with best practices in index calculations, which may be given the opportunity to consult themselves on

Sustainability

To a high extent To a moderate extent To a low extent Not at all

10

7 8

6

0 0 0 0 2 4 6 8

10 12

Lack of expert staff

Staff turover Limited technical

capabilities

Lack of funding Government change

None Other

Risk Factors

Risk Factors

35

the compilation of indices in practice, using the best practices for the collection of information they possess. Organize the exchange of experience between statistical offices in a particular country, to study practical skills in calculating indices.

- Participation in statistical business register events was highly informative for us. - To keep organizing regional meetings, additional to global events.

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4.4 ONLINE SURVEY QUESTIONNAIRE – STAKEHOLDERS/PARTNERS

4.4.1 Introductory Text

This online survey is conducted in the context of the evaluation of the UNECE Project: Enhancing Coherence and Integration of Economic and Social Statistics in Support of the Implementation of 2008 System of National Accounts.

The purpose of this survey is to gather the views of the stakeholders and partners who have invested time and resources to help the UNECE carry out its mandate to support the implementation of 2008 SNA and supporting statistics in the Eastern Europe, Caucasus and Central Asia region.

The survey, which contains 12 questions, will be conducted in English and take approximately 10 minutes to complete. All responses are confidential, and no individual can be identified from their responses. UNECE will not have access to the raw survey results, only to aggregated information. Should you have any questions or concerns, please contact the evaluator, Constance Graziadei at [email protected].

The survey will be available until 29 September 2023. Thank you in advance for your participation.

6.4.2 Questionnaire

1. Which organization do you represent? Please select all that apply.

• Drop down menu

2. Gender of respondent • Male • Female • Other: _________________ • Prefer not to respond

3.What is your relationship with the project?

• Donor • Expert • Oversight • Regional Partner • Sponsor • Other: _________________

4. To what extent did the project respond to the priorities and needs of the beneficiary countries?

• To a high extent • To a moderate extent • To a low extent • Not at all • Do not know

5. How effective was the UNECE in drawing on established partnerships to achieve the results of the project?

• Very effective • Somewhat effective

mailto:[email protected]

37

• Neither effective nor ineffective • Somewhat ineffective • Very ineffective • Do not know

6. To what extent were the project's activities harmonized with activities, events or projects within your organization?

• To a high extent • To a moderate extent • To a low extent • Not at all • Do not know

7. To what extent were alternative methods used to achieve the results more efficiently?

• To a high extent • To a moderate extent • To a low extent • Not at all • Do not know

8. To what extent are the results of the project sustainable?

• To a high extent • To a moderate extent • To a low extent • Not at all • Do not know

9. To what extent did the results of the activities and events organized by the UNECE align with the SDGs?

• To a high extent • To a moderate extent • To a low extent • Not at all • Do not know

10. To what extent did the UNECE encourage the participation of women, persons with disabilities, minority groups and youths in the events and activities?

• To a high extent • To a moderate extent • To a low extent • Not at all • Do not know

11. Are there any lessons learned or good practices from the project that should be considered for future projects?

Text box

12. Do you have any comments or recommendations? Text box

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4.5 INTERVIEW GUIDE – KEY STAKEHOLDERS

These questions are based on the evaluation matrix and will be used as a guideline only for interviews with international and regional partners. The questions will be tailored to each interview conducted. Follow up questions may be asked to explore emerging themes or discussions.

General

1. What is your relationship with the project and for how long have you been involved?

Relevance

2. To what extent did the project respond to the priorities and needs of the beneficiary countries? 3. To what extent did the activities and outputs from the project align with the project’s stated objectives?

a. Methodology and compilation techniques of 2008 System of National Accounts b. Price statistics c. Improving the coverage and accuracy of statistical business registers d. Expanding the use of household surveys for the estimates of the informal sector and remittances

Effectiveness

4. To what extend did the UNECE contribute to achieving the stated objectives? 5. How effective were the various activities used to achieve the project’s outcomes?

a. Regional workshops b. Participation in the UNECE Expert Group meetings c. Sharing of best practices

6. What were the challenges or obstacles to achieving the expected results? 7. What was the impact of the COVID-19 pandemic on planned activities? How was the project realigned to

help participant countries address these issues? 8. How effective was the UNECE in drawing on established partnerships to achieve the results of the project? 9. To what extent were the project activities coherent and harmonized with activities within your

organization?

Efficiency

10. Were the resources sufficient to achieve the desired results? 11. Were alternative methods used to achieve results more efficiently? Please describe.

Sustainability

12. To what extent are the outputs from the various modules sustainable? a. Methodology and compilation techniques for 2008 System of National Accounts b. Price statistics c. Improving the coverage and accuracy of statistical business registers d. Expanding the use of household surveys for the estimates of the informal sector and remittances

13. To what extent do the results of the project align with the SDGs?

Cross Cutting Questions

14. Was the project designed to ensure inclusion of women, persons with disabilities, minority groups and youth?

15. Did the UNECE include women, persons with disabilities, minority groups or youth? 16. How can gender and human rights perspectives be better included in the design and implementation of

future projects?

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4.6 LIST OF PROJECT ACTIVITIES BY MODULE

4.6.1 Module 1 – National Accounts

YEAR ACTIVITY LOCATION

2017 Workshop on Consistency between National Accounts & Balance of Payments Statistics

Minsk, Belarus

2018 Workshop in compilation, dissemination and use of Supply and Use tables Meeting on the Group of Experts on National Accounts

Chisinau, Moldova Geneva, Switzerland

2020 Webinars of the Group of Experts on National Accounts Online

2021 Workshop on measuring informal economy Meeting on the Group of Experts on National Accounts

Online Online

2022 Workshop on Financial Accounts Meeting of the Group of Experts on National Accounts

Brussels, Belgium Online

2023 Meeting of the Group of Experts on National Accounts Geneva, Switzerland

4.6.2 Module 2 – Price Statistics

YEAR ACTIVITY LOCATION

2018 Meeting of the Group of Experts on Consumer Price Indices Geneva, Switzerland

2019 Regional Workshop on Consumer Price Indices for EECCA countries

Minsk, Belarus

2020 Webinars on producing the CPI under lockdown Online

2021 Meeting of the Group of Experts on Consumer Prices Indices Online

2023 Meeting of the Group of Experts on Consumer Prices Indices Geneva, Switzerland

40

4.6.3 Module 3 – Business Registers

YEAR ACTIVITY LOCATION

2017 Meeting of the Group of Experts on Business Registers Paris, France

2019 Meeting of the Group of Experts on Business Registers Geneva, Switzerland

2022 Workshop on Business Registers

Meeting of the Group Experts on Business Registers

Online

Online

4.6.4 Module 4 – Migration Statistics

YEAR ACTIVITY LOCATION

2017 Workshop on Migration Statistics Geneva, Switzerland

2018 Workshop on Migration Statistics

Harmonized survey module on international migration & remittances

Geneva, Switzerland

2019 Workshop on Migration Statistics

Testing of harmonized survey module on migration & remittances in countries

Geneva, Switzerland

2020 Analysis of the test results on the survey module

Workshop on Migration Statistics

Online

2021 Harmonized module for measuring & collecting information on migration & remittances after 2020

Workshop on Migration Statistics

Online

2022 Group of Experts on Migration Statistics Geneva, Switzerland

41

4.7 STAKEHOLDERS INVITED FOR IN-DEPTH INTERVIEW

ORGANIZATION FULL NAME TITLE RELATIONSHIP TO THE PROJECT

World Bank Mr. Maurice Nsabimana ECASTAT Task Team Leader Donor

ILO Ms. Valentina Stoevska Senior Statistician Group of Experts on CPI

EFTA Mr. Marius Andersen Deputy, EFTA Statistical Office Group of Experts on NA

European Union, Eurostat

Mr. John Verrinder Head, National Accounts, Methodology, Standards & Indicators

Group of Experts on NA

UNSD Mr. Herman Smith Chief of National Accounts Group of Experts on NA

Consultant Ms. Anna Prokhorova Consultant - Developer Harmonized module for measuring migration and remittances

UNECE Steering Group on National Accounts

Mr. Gerard Eding Director of National Accounts – Statistics Netherlands

Chair of Steering Committee

UNECE Steering Committee on Consumer Price Indices

Mr. Christopher Jenkins Assistant Deputy Director, Prices Division, Office for National Statistics, UK

Chair of Steering Committee

Armenia Ms. Lusya Khachartryan Head of Macroeconomics Indicators and National Accounts Division, Statistics Armenia

Group of Experts on National Accounts

United Kingdom Mr. Sanjiv Mahajan Head of Methods and Research Engagement, Office for National Statistics, UK

Steering Group on National Accounts

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4.8 LIST OF DOCUMENTS REVIEWED

1. ECASTAT Project for 2017-2020 Implementation of 2008 SNA. Enhancing Coherence and Integration of Economic and Social Statistics in Support of the Implementation of 2008 SNA – Project Proposal – Concept note 2016

2. ECASTAT Project no-cost extension for 2021-2023. Enhancing Coherence and Integration of Economic and Social Statistics in Support of the Implementation of 2008 SNA – Project Proposal

3. Enhancing Coherence and Integration of Economic and Social Statistics in Support of the Implementation of 2008 SNA https://www.statswiki.unece.org/display/EC/ECSTAT+Home

4. World Bank’s Implementation Completion and Results Report on a Small Grant to the United Nations Economic Commission for Europe (UNECE) for Enhancing Coherence and Integration of Economic and Social Statistics in Support of the Implementation of 2008 SNA (Draft-v1)

5. Statistical Commission. Report on the fortieth session (24-27 February 2009). https://unstats.un.org/unsd/statcom/doc09/Report-English.pdf

6. SDG Priorities. Supporting countries to achieve the SDGs https://unece.org.sdg-priorities

7. United Nations Geneva, 2021 Guide on producing CPI under lockdown https://unece.org/statistics/publications/buide-producing-cpi-under-lockdown

8. Generic Law on Official Statistics https://unece.org/DAM/stats/publications/2016/ECECESSTAT20163_E.pdf

9. United Nations Fundamental Principles of Official Statistics https://unsd/dnss/hb/E- fundamentatl%principles_A4-WEB.pdg

10. Interim Unaudited Financial Reports - June - December 2017 - January - June 2018 - July – December 2018 - January – May 2019 - June - December 2020 - January – June 2021 - July – December 2021 - January – June 2022

11. Reports from Meetings and Workshops

- Group of Experts on Business Registers (2017; 2019; and 2022) - Group of Experts on Consumer Price Indices (2018; 2021; and 2023) - Consumer Price Indices webinars (2020) - Group of Experts on Migration Statistics (2020; 2021; and 2022) - Group of Experts on National Accounts (2018; 2020; 2021; 2022; and 2023) - Workshop on Migration Statistics (2019) - Workshop on Consumer Price Indices (2019) - Workshop on Financial Accounts (2022) - Workshop on Measuring Informal Economy (2021) - Workshop on Migration Statistics (2017; 2018) - Workshop on Supply and Use Tables for EECCA and SEE countries (2018) - Workshop on the Implementation 2008 SNA: Consistency between national accounts and balance of

payments (2017) 12. Meeting Evaluation Results

- Workshops of Migration Statistics (2017; 2018; and 2019)

https://www.statswiki.unece.org/display/EC/ECSTAT+Home
https://unstats.un.org/unsd/statcom/doc09/Report-English.pdf
https://unece.org.sdg-priorities/
https://unece.org/statistics/publications/buide-producing-cpi-under-lockdown
https://unece.org/DAM/stats/publications/2016/ECECESSTAT20163_E.pdf
https://unsd/dnss/hb/E-fundamentatl%25principles_A4-WEB.pdg
https://unsd/dnss/hb/E-fundamentatl%25principles_A4-WEB.pdg

43

- Meeting on Migration Statistics (2021) - Meetings of the Group of Experts on National Accounts & webinars (2020; 2021; 2022; and 2023) - Regional Workshop on Consumer Price Indices 2019 - Meetings of the Group of Experts on Consumer Price Indices (2018; 2021 and 2023) - Meeting of the Group of Experts on Business Registers 2019

13. Semi-annual progress reports

- June – December 2017 - January – June 2018 - July – December 2018 - January – May 2019 - June – November 2019 - December 2019 – May 2020 - June 2020 – December 2020 - January 2021 – June 2021 - July 2021 – December 2021 - January 2022 – June 2022 - July – December 2022

14. Global Assessment of the National Statistical Systems of EECCA (beneficiary) countries, where available:

Armenia (2009), Azerbaijan (2017), Belarus (2020), Georgia (2019), Kazakhstan (2017), Kyrgyzstan (2011), Moldova (2013), Mongolia (2014), Tajikistan (2013), Turkmenistan (2014), Ukraine (2017), Uzbekistan (Joint review - 2018)

UNECE helps Central Asian countries attract sustainable and climate finance into PPP and infrastructure projects

Sustainable and climate finance needs in Central Asia are considerable, with an estimated 38 billion US dollars per year up to 2030. On the other hand, the total foreign direct investment flows in the region in 2022 amounted to 10 billion US dollars. The infrastructure finance gap is therefore huge, and private finance remains crucial to meet the sustainable infrastructure needs in Central Asia. 

UNECE and partners kick off major project on energy efficiency and carbon footprint of building industry in seven countries  

UNECE and partners have started implementation of a multi-year project on “Improving the energy efficiency of the global building supply chain industry and its products to deliver high performance buildings” (full project budget EUR 19.8 million), funded by the International Climate Initiative (IKI) Germany. 

Kazakhstan and Uzbekistan to improve access to water, sanitation and hygiene by joining Protocol on Water and Health, learning from experience of Serbia

Central Asian countries are actively working towards improving access to water and sanitation. Despite recent progress, Kazakhstan's aging infrastructure, lack of human resources and financial constraints still limit the access of rural population to improved water and sanitation services. In 2022, 10% of the rural population did not have regular access to water.

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ERROR:#REF! M 2015 1000 m3 ST_1_2_C ERROR:#REF!
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ERROR:#REF! M 2015 1000 m3 ST_1_2_NC ERROR:#REF!
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ERROR:#REF! M 2015 1000 m3 ST_1_2_NC_1_1 ERROR:#REF!
ERROR:#REF! M 2015 1000 m3 ST_1_2_NC_2_1 ERROR:#REF!
ERROR:#REF! M 2015 1000 m3 ST_1_2_NC_2 ERROR:#REF!
ERROR:#REF! M 2015 1000 m3 ST_1_2_NC_1_2 ERROR:#REF!
ERROR:#REF! M 2015 1000 m3 ST_1_2_NC_2_2 ERROR:#REF!
ERROR:#REF! M 2015 1000 m3 ST_1_2_NC_3 ERROR:#REF!
ERROR:#REF! M 2015 1000 m3 ST_1_2_NC_1_3 ERROR:#REF!
ERROR:#REF! M 2015 1000 m3 ST_1_2_NC_2_3 ERROR:#REF!
ERROR:#REF! M 2015 1000 m3 ST_1_2_NC_4 ERROR:#REF!
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ERROR:#REF! M 2015 1000 m3 ST_5_C ERROR:#REF!
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ERROR:#REF! M 2015 1000 m3 ST_5_NC_4 ERROR:#REF!
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ERROR:#REF! M 2015 1000 m3 ST_5_NC_6 ERROR:#REF!
ERROR:#REF! M 2015 1000 m3 ST_5_NC_7 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_C ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_C_1 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_C_1_1 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_C_2_1 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_C_2 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_C_1_2 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_C_2_2 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_C_3 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_C_1_3 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_C_2_3 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_NC ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_NC_1 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_NC_1_1 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_NC_2_1 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_NC_2 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_NC_1_2 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_NC_2_2 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_NC_3 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_NC_1_3 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_NC_2_3 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_NC_4 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_NC_5 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_5_C ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_5_C_1 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_5_C_2 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_5_NC ERROR:#REF!
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ERROR:#REF! M 2015 1000 NAC ST_5_NC_2 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_5_NC_3 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_5_NC_4 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_5_NC_5 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_5_NC_6 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_5_NC_7 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_1_2_C ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_1_2_C_1 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_1_2_C_1_1 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_1_2_C_2_1 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_1_2_C_2 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_1_2_C_1_2 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_1_2_C_2_2 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_1_2_C_3 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_1_2_C_1_3 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_1_2_C_2_3 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_1_2_NC ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_1_2_NC_1 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_1_2_NC_1_1 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_1_2_NC_2_1 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_1_2_NC_2 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_1_2_NC_1_2 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_1_2_NC_2_2 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_1_2_NC_3 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_1_2_NC_1_3 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_1_2_NC_2_3 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_1_2_NC_4 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_1_2_NC_5 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_5_C ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_5_C_1 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_5_C_2 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_5_NC ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_5_NC_1 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_5_NC_2 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_5_NC_3 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_5_NC_4 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_5_NC_5 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_5_NC_6 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_5_NC_7 ERROR:#REF!
ERROR:#REF! X 2015 1000 NAC ST_1_2_C ERROR:#REF!
ERROR:#REF! X 2015 1000 NAC ST_1_2_C_1 ERROR:#REF!
ERROR:#REF! X 2015 1000 NAC ST_1_2_C_1_1 ERROR:#REF!
ERROR:#REF! X 2015 1000 NAC ST_1_2_C_2_1 ERROR:#REF!
ERROR:#REF! X 2015 1000 NAC ST_1_2_C_2 ERROR:#REF!
ERROR:#REF! X 2015 1000 NAC ST_1_2_C_1_2 ERROR:#REF!
ERROR:#REF! X 2015 1000 NAC ST_1_2_C_2_2 ERROR:#REF!
ERROR:#REF! X 2015 1000 NAC ST_1_2_C_3 ERROR:#REF!
ERROR:#REF! X 2015 1000 NAC ST_1_2_C_1_3 ERROR:#REF!
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ERROR:#REF! X 2015 1000 NAC ST_5_NC_6 ERROR:#REF!
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ERROR:#REF! EX_M 2015 1000 m3 1 ERROR:#REF!
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ERROR:#REF! EX_M 2015 1000 NAC 1 ERROR:#REF!
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ERROR:#REF! EX_M 2015 1000 NAC 1_2_C ERROR:#REF!
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ERROR:#REF! EX_M 2015 1000 NAC 6_1_C ERROR:#REF!
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ERROR:#REF! EX_M 2015 1000 NAC 8 ERROR:#REF!
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ERROR:#REF! EX_M 2015 1000 NAC 9 ERROR:#REF!
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ERROR:#REF! EX_M 2015 1000 NAC 10_1_1 ERROR:#REF!
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ERROR:#REF! EX_M 2015 1000 NAC 10_3 ERROR:#REF!
ERROR:#REF! EX_M 2015 1000 NAC 10_3_1 ERROR:#REF!
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ERROR:#REF! EX_X 2015 1000 m3 1 ERROR:#REF!
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ERROR:#REF! EX_X 2015 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 m3 1_2_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 mt 2 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 m3 3 ERROR:#REF!
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ERROR:#REF! EX_X 2015 1000 mt 4 ERROR:#REF!
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ERROR:#REF! EX_X 2015 1000 mt 4_2 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 m3 5 ERROR:#REF!
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ERROR:#REF! EX_X 2015 1000 m3 5_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 m3 6 ERROR:#REF!
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ERROR:#REF! EX_X 2015 1000 m3 6_1_C ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 m3 6_1_NC ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 m3 6_1_NC_T ERROR:#REF!
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ERROR:#REF! EX_X 2015 1000 m3 6_2_C ERROR:#REF!
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ERROR:#REF! EX_X 2015 1000 m3 6_2_NC_T ERROR:#REF!
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ERROR:#REF! EX_X 2015 1000 mt 9 ERROR:#REF!
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ERROR:#REF! EX_X 2015 1000 mt 10_4 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 1 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 1_1 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 1_2 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 1_2_C ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 1_2_NC ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 1_2_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 2 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 3 ERROR:#REF!
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ERROR:#REF! EX_X 2015 1000 NAC 3_2 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 4 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 4_1 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 4_2 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 5 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 5_C ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 5_NC ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 5_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 6 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 6_1 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 6_1_C ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 6_1_NC ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 6_1_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 6_2 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 6_2_C ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 6_2_NC ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 6_2_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 6_3 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 6_3_1 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 6_4 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 6_4_1 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 6_4_2 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 6_4_3 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 7 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 7_1 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 7_2 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 7_3 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 7_3_1 ERROR:#REF!
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ERROR:#REF! EX_X 2015 1000 NAC 7_3_4 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 7_4 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 8 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 8_1 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 8_2 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 9 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 10 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 10_1 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 10_1_1 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 10_1_2 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 10_1_3 ERROR:#REF!
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ERROR:#REF! EX_X 2015 1000 NAC 10_2 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 10_3 ERROR:#REF!
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ERROR:#REF! EX_X 2015 1000 NAC 10_3_4 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 10_4 ERROR:#REF!
ERROR:#REF! P 2015 1000 m3 EU2_1 ERROR:#REF!
ERROR:#REF! P 2015 1000 m3 EU2_1_C ERROR:#REF!
ERROR:#REF! P 2015 1000 m3 EU2_1_NC ERROR:#REF!
ERROR:#REF! P 2015 1000 m3 EU2_1_1 ERROR:#REF!
ERROR:#REF! P 2015 1000 m3 EU2_1_1_C ERROR:#REF!
ERROR:#REF! P 2015 1000 m3 EU2_1_1_NC ERROR:#REF!
ERROR:#REF! P 2015 1000 m3 EU2_1_2 ERROR:#REF!
ERROR:#REF! P 2015 1000 m3 EU2_1_2_C ERROR:#REF!
ERROR:#REF! P 2015 1000 m3 EU2_1_2_NC ERROR:#REF!
ERROR:#REF! P 2015 1000 m3 EU2_1_3 ERROR:#REF!
ERROR:#REF! P 2015 1000 m3 EU2_1_3_C ERROR:#REF!
ERROR:#REF! P 2015 1000 m3 EU2_1_3_NC ERROR:#REF!
ERROR:#REF! P.OB 2015 1000 m3 1 ERROR:#REF!
ERROR:#REF! P.OB 2015 1000 m3 1_C ERROR:#REF!
ERROR:#REF! P.OB 2015 1000 m3 1_NC ERROR:#REF!
ERROR:#REF! P.OB 2015 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! P.OB 2015 1000 m3 1_1_C ERROR:#REF!
ERROR:#REF! P.OB 2015 1000 m3 1_1_NC ERROR:#REF!
ERROR:#REF! P.OB 2015 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! P.OB 2015 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! P.OB 2015 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! P.OB 2015 1000 m3 1_2_1 ERROR:#REF!
ERROR:#REF! P.OB 2015 1000 m3 1_2_1_C ERROR:#REF!
ERROR:#REF! P.OB 2015 1000 m3 1_2_1_NC ERROR:#REF!
ERROR:#REF! P.OB 2015 1000 m3 1_2_2 ERROR:#REF!
ERROR:#REF! P.OB 2015 1000 m3 1_2_2_C ERROR:#REF!
ERROR:#REF! P.OB 2015 1000 m3 1_2_2_NC ERROR:#REF!
ERROR:#REF! P.OB 2015 1000 m3 1_2_3 ERROR:#REF!
ERROR:#REF! P.OB 2015 1000 m3 1_2_3_C ERROR:#REF!
ERROR:#REF! P.OB 2015 1000 m3 1_2_3_NC ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 1 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 1_C ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 1_NC ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 1_1_C ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 1_1_NC ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 1_2_1 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 1_2_1_C ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 1_2_1_NC ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 1_2_2 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 1_2_2_C ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 1_2_2_NC ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 1_2_3 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 1_2_3_C ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 1_2_3_NC ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 2 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 3 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 3_1 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 3_2 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 4 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 4_1 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 4_2 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 5 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 5_C ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 5_NC ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 5_NC_T ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 6 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 6_1 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 6_1_C ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 6_1_NC ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 6_1_NC_T ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 6_2 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 6_2_C ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 6_2_NC ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 6_2_NC_T ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 6_3 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 6_3_1 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 6_4 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 6_4_1 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 6_4_2 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 6_4_3 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 7 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 7_1 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 7_2 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 7_3 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 7_3_1 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 7_3_2 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 7_3_3 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 7_3_4 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 7_4 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 8 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 8_1 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 8_2 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 9 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 10 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 10_1 ERROR:#REF!
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ERROR:#REF! P 2014 1000 mt 10_1_2 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 10_1_3 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 10_1_4 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 10_2 ERROR:#REF!
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ERROR:#REF! P 2014 1000 mt 10_3_1 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 10_3_2 ERROR:#REF!
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ERROR:#REF! P 2014 1000 mt 10_3_4 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 10_4 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 1 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 1_2_NC_T ERROR:#REF!
ERROR:#REF! M 2014 1000 mt 2 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 3 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 3_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 3_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 mt 4 ERROR:#REF!
ERROR:#REF! M 2014 1000 mt 4_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 mt 4_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 5 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 5_C ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 5_NC ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 5_NC_T ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 6 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 6_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 6_1_C ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 6_1_NC ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 6_1_NC_T ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 6_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 6_2_C ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 6_2_NC ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 6_2_NC_T ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 6_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 6_3_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 6_4 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 6_4_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 6_4_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 6_4_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 mt 7 ERROR:#REF!
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ERROR:#REF! M 2014 1000 mt 7_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 mt 7_3 ERROR:#REF!
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ERROR:#REF! M 2014 1000 mt 7_3_2 ERROR:#REF!
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ERROR:#REF! M 2014 1000 mt 7_3_4 ERROR:#REF!
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ERROR:#REF! M 2014 1000 mt 8 ERROR:#REF!
ERROR:#REF! M 2014 1000 mt 8_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 mt 8_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 mt 9 ERROR:#REF!
ERROR:#REF! M 2014 1000 mt 10 ERROR:#REF!
ERROR:#REF! M 2014 1000 mt 10_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 mt 10_1_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 mt 10_1_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 mt 10_1_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 mt 10_1_4 ERROR:#REF!
ERROR:#REF! M 2014 1000 mt 10_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 mt 10_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 mt 10_3_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 mt 10_3_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 mt 10_3_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 mt 10_3_4 ERROR:#REF!
ERROR:#REF! M 2014 1000 mt 10_4 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 1_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 1_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 1_2_C ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 1_2_NC ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 1_2_NC_T ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 3 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 3_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 3_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 4 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 4_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 4_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 5 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 5_C ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 5_NC ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 5_NC_T ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 6 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 6_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 6_1_C ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 6_1_NC ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 6_1_NC_T ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 6_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 6_2_C ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 6_2_NC ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 6_2_NC_T ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 6_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 6_3_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 6_4 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 6_4_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 6_4_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 6_4_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 7 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 7_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 7_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 7_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 7_3_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 7_3_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 7_3_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 7_3_4 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 7_4 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 8 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 8_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 8_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 9 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 10 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 10_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 10_1_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 10_1_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 10_1_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 10_1_4 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 10_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 10_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 10_3_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 10_3_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 10_3_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 10_3_4 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 10_4 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 1 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 1_2_NC_T ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 2 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 3 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 3_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 3_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 4 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 4_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 4_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 5 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 5_C ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 5_NC ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 5_NC_T ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 6 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 6_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 6_1_C ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 6_1_NC ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 6_1_NC_T ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 6_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 6_2_C ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 6_2_NC ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 6_2_NC_T ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 6_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 6_3_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 6_4 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 6_4_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 6_4_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 6_4_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 7 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 7_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 7_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 7_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 7_3_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 7_3_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 7_3_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 7_3_4 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 7_4 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 8 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 8_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 8_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 9 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 10 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 10_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 10_1_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 10_1_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 10_1_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 10_1_4 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 10_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 10_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 10_3_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 10_3_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 10_3_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 10_3_4 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 10_4 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 1_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 1_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 1_2_C ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 1_2_NC ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 1_2_NC_T ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 3 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 3_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 3_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 4 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 4_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 4_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 5 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 5_C ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 5_NC ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 5_NC_T ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 6 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 6_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 6_1_C ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 6_1_NC ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 6_1_NC_T ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 6_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 6_2_C ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 6_2_NC ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 6_2_NC_T ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 6_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 6_3_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 6_4 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 6_4_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 6_4_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 6_4_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 7 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 7_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 7_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 7_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 7_3_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 7_3_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 7_3_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 7_3_4 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 7_4 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 8 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 8_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 8_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 9 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 10 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 10_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 10_1_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 10_1_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 10_1_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 10_1_4 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 10_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 10_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 10_3_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 10_3_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 10_3_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 10_3_4 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 10_4 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 11_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 11_1_C ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 11_1_NC ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 11_1_NC_T ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 11_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 11_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 11_4 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 11_5 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 11_6 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 11_7 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 11_7_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 12_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 12_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 12_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 12_4 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 12_5 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 12_6 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 12_6_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 12_6_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 12_6_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 12_7 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 12_7_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 12_7_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 12_7_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 11_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 11_1_C ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 11_1_NC ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 11_1_NC_T ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 11_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 11_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 11_4 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 11_5 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 11_6 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 11_7 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 11_7_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 12_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 12_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 12_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 12_4 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 12_5 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 12_6 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 12_6_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 12_6_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 12_6_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 12_7 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 12_7_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 12_7_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 12_7_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_C ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_C_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_C_1_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_C_2_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_C_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_C_1_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_C_2_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_C_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_C_1_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_C_2_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_NC ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_NC_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_NC_1_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_NC_2_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_NC_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_NC_1_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_NC_2_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_NC_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_NC_1_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_NC_2_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_NC_4 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_NC_5 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_5_C ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_5_C_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_5_C_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_5_NC ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_5_NC_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_5_NC_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_5_NC_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_5_NC_4 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_5_NC_5 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_5_NC_6 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_5_NC_7 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_C ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_C_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_C_1_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_C_2_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_C_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_C_1_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_C_2_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_C_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_C_1_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_C_2_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_NC ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_NC_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_NC_1_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_NC_2_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_NC_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_NC_1_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_NC_2_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_NC_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_NC_1_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_NC_2_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_NC_4 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_NC_5 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_5_C ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_5_C_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_5_C_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_5_NC ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_5_NC_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_5_NC_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_5_NC_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_5_NC_4 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_5_NC_5 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_5_NC_6 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_5_NC_7 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_C ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_C_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_C_1_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_C_2_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_C_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_C_1_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_C_2_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_C_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_C_1_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_C_2_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_NC ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_NC_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_NC_1_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_NC_2_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_NC_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_NC_1_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_NC_2_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_NC_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_NC_1_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_NC_2_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_NC_4 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_NC_5 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_5_C ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_5_C_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_5_C_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_5_NC ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_5_NC_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_5_NC_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_5_NC_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_5_NC_4 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_5_NC_5 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_5_NC_6 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_5_NC_7 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_C ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_C_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_C_1_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_C_2_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_C_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_C_1_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_C_2_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_C_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_C_1_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_C_2_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_NC ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_NC_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_NC_1_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_NC_2_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_NC_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_NC_1_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_NC_2_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_NC_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_NC_1_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_NC_2_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_NC_4 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_NC_5 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_5_C ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_5_C_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_5_C_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_5_NC ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_5_NC_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_5_NC_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_5_NC_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_5_NC_4 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_5_NC_5 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_5_NC_6 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_5_NC_7 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 1_2_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 mt 2 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 3 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 3_1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 3_2 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 mt 4 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 mt 4_1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 mt 4_2 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 5 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 5_C ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 5_NC ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 5_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 6 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 6_1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 6_1_C ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 6_1_NC ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 6_1_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 6_2 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 6_2_C ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 6_2_NC ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 6_2_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 6_3 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 6_3_1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 6_4 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 6_4_1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 6_4_2 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 6_4_3 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 mt 7 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 mt 7_1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 mt 7_2 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 mt 7_3 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 mt 7_3_1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 mt 7_3_2 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 mt 7_3_3 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 mt 7_3_4 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 mt 7_4 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 mt 8 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 mt 8_1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 mt 8_2 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 mt 9 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 mt 10 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 mt 10_1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 mt 10_1_1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 mt 10_1_2 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 mt 10_1_3 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 mt 10_1_4 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 mt 10_2 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 mt 10_3 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 mt 10_3_1 ERROR:#REF!
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ERROR:#REF! EX_M 2014 1000 mt 10_3_4 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 mt 10_4 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 1 ERROR:#REF!
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ERROR:#REF! EX_M 2014 1000 NAC 1_2_C ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 1_2_NC ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 1_2_NC_T ERROR:#REF!
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ERROR:#REF! EX_M 2014 1000 NAC 5 ERROR:#REF!
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ERROR:#REF! EX_M 2014 1000 NAC 5_NC ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 5_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 6 ERROR:#REF!
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ERROR:#REF! EX_M 2014 1000 NAC 6_1_C ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 6_1_NC ERROR:#REF!
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ERROR:#REF! EX_M 2014 1000 NAC 6_2_C ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 6_2_NC ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 6_2_NC_T ERROR:#REF!
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ERROR:#REF! EX_M 2014 1000 NAC 6_4 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 6_4_1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 6_4_2 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 6_4_3 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 7 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 7_1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 7_2 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 7_3 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 7_3_1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 7_3_2 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 7_3_3 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 7_3_4 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 7_4 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 8 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 8_1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 8_2 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 9 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 10 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 10_1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 10_1_1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 10_1_2 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 10_1_3 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 10_1_4 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 10_2 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 10_3 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 10_3_1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 10_3_2 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 10_3_3 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 10_3_4 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 10_4 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 1_2_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 3 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 3_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 3_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 4 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 4_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 4_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 5 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 5_C ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 5_NC ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 5_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 6 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 6_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 6_1_C ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 6_1_NC ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 6_1_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 6_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 6_2_C ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 6_2_NC ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 6_2_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 6_3 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 6_3_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 6_4 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 6_4_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 6_4_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 6_4_3 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 7 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 7_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 7_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 7_3 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 7_3_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 7_3_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 7_3_3 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 7_3_4 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 7_4 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 8 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 8_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 8_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 9 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 10 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 10_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 10_1_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 10_1_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 10_1_3 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 10_1_4 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 10_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 10_3 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 10_3_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 10_3_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 10_3_3 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 10_3_4 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 10_4 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 1_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 1_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 1_2_C ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 1_2_NC ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 1_2_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 3 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 3_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 3_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 4 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 4_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 4_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 5 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 5_C ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 5_NC ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 5_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 6 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 6_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 6_1_C ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 6_1_NC ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 6_1_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 6_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 6_2_C ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 6_2_NC ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 6_2_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 6_3 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 6_3_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 6_4 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 6_4_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 6_4_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 6_4_3 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 7 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 7_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 7_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 7_3 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 7_3_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 7_3_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 7_3_3 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 7_3_4 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 7_4 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 8 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 8_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 8_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 9 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 10 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 10_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 10_1_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 10_1_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 10_1_3 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 10_1_4 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 10_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 10_3 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 10_3_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 10_3_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 10_3_3 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 10_3_4 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 10_4 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 EU2_1 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 EU2_1_C ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 EU2_1_NC ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 EU2_1_1 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 EU2_1_1_C ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 EU2_1_1_NC ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 EU2_1_2 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 EU2_1_2_C ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 EU2_1_2_NC ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 EU2_1_3 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 EU2_1_3_C ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 EU2_1_3_NC ERROR:#REF!
ERROR:#REF! P.OB 2014 1000 m3 1 ERROR:#REF!
ERROR:#REF! P.OB 2014 1000 m3 1_C ERROR:#REF!
ERROR:#REF! P.OB 2014 1000 m3 1_NC ERROR:#REF!
ERROR:#REF! P.OB 2014 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! P.OB 2014 1000 m3 1_1_C ERROR:#REF!
ERROR:#REF! P.OB 2014 1000 m3 1_1_NC ERROR:#REF!
ERROR:#REF! P.OB 2014 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! P.OB 2014 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! P.OB 2014 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! P.OB 2014 1000 m3 1_2_1 ERROR:#REF!
ERROR:#REF! P.OB 2014 1000 m3 1_2_1_C ERROR:#REF!
ERROR:#REF! P.OB 2014 1000 m3 1_2_1_NC ERROR:#REF!
ERROR:#REF! P.OB 2014 1000 m3 1_2_2 ERROR:#REF!
ERROR:#REF! P.OB 2014 1000 m3 1_2_2_C ERROR:#REF!
ERROR:#REF! P.OB 2014 1000 m3 1_2_2_NC ERROR:#REF!
ERROR:#REF! P.OB 2014 1000 m3 1_2_3 ERROR:#REF!
ERROR:#REF! P.OB 2014 1000 m3 1_2_3_C ERROR:#REF!
ERROR:#REF! P.OB 2014 1000 m3 1_2_3_NC ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 1 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 1_C ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 1_NC ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 1_1_C ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 1_1_NC ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 1_2_1 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 1_2_1_C ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 1_2_1_NC ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 1_2_2 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 1_2_2_C ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 1_2_2_NC ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 1_2_3 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 1_2_3_C ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 1_2_3_NC ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 2 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 3 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 3_1 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 3_2 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 4 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 4_1 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 4_2 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 5 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 5_C ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 5_NC ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 5_NC_T ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 6 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 6_1 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 6_1_C ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 6_1_NC ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 6_1_NC_T ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 6_2 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 6_2_C ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 6_2_NC ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 6_2_NC_T ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 6_3 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 6_3_1 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 6_4 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 6_4_1 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 6_4_2 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 6_4_3 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 7 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 7_1 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 7_2 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 7_3 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 7_3_1 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 7_3_2 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 7_3_3 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 7_3_4 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 7_4 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 8 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 8_1 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 8_2 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 9 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 10 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 10_1 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 10_1_1 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 10_1_2 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 10_1_3 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 10_1_4 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 10_2 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 10_3 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 10_3_1 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 10_3_2 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 10_3_3 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 10_3_4 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 10_4 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 1 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 1_2_NC_T ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 2 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 3 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 3_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 3_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 4 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 4_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 4_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 5 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 5_C ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 5_NC ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 5_NC_T ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 6 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 6_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 6_1_C ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 6_1_NC ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 6_1_NC_T ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 6_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 6_2_C ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 6_2_NC ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 6_2_NC_T ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 6_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 6_3_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 6_4 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 6_4_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 6_4_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 6_4_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 7 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 7_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 7_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 7_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 7_3_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 7_3_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 7_3_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 7_3_4 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 7_4 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 8 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 8_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 8_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 9 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 10 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 10_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 10_1_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 10_1_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 10_1_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 10_1_4 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 10_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 10_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 10_3_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 10_3_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 10_3_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 10_3_4 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 10_4 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 1_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 1_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 1_2_C ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 1_2_NC ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 1_2_NC_T ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 3 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 3_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 3_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 4 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 4_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 4_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 5 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 5_C ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 5_NC ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 5_NC_T ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 6 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 6_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 6_1_C ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 6_1_NC ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 6_1_NC_T ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 6_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 6_2_C ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 6_2_NC ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 6_2_NC_T ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 6_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 6_3_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 6_4 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 6_4_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 6_4_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 6_4_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 7 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 7_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 7_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 7_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 7_3_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 7_3_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 7_3_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 7_3_4 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 7_4 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 8 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 8_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 8_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 9 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 10 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 10_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 10_1_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 10_1_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 10_1_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 10_1_4 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 10_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 10_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 10_3_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 10_3_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 10_3_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 10_3_4 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 10_4 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 1 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 1_2_NC_T ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 2 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 3 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 3_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 3_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 4 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 4_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 4_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 5 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 5_C ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 5_NC ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 5_NC_T ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 6 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 6_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 6_1_C ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 6_1_NC ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 6_1_NC_T ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 6_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 6_2_C ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 6_2_NC ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 6_2_NC_T ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 6_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 6_3_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 6_4 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 6_4_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 6_4_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 6_4_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 7 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 7_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 7_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 7_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 7_3_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 7_3_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 7_3_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 7_3_4 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 7_4 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 8 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 8_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 8_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 9 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 10 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 10_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 10_1_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 10_1_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 10_1_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 10_1_4 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 10_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 10_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 10_3_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 10_3_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 10_3_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 10_3_4 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 10_4 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 1_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 1_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 1_2_C ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 1_2_NC ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 1_2_NC_T ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 3 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 3_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 3_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 4 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 4_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 4_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 5 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 5_C ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 5_NC ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 5_NC_T ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 6 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 6_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 6_1_C ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 6_1_NC ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 6_1_NC_T ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 6_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 6_2_C ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 6_2_NC ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 6_2_NC_T ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 6_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 6_3_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 6_4 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 6_4_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 6_4_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 6_4_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 7 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 7_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 7_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 7_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 7_3_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 7_3_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 7_3_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 7_3_4 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 7_4 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 8 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 8_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 8_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 9 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 10 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 10_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 10_1_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 10_1_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 10_1_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 10_1_4 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 10_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 10_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 10_3_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 10_3_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 10_3_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 10_3_4 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 10_4 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 11_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 11_1_C ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 11_1_NC ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 11_1_NC_T ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 11_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 11_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 11_4 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 11_5 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 11_6 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 11_7 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 11_7_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 12_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 12_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 12_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 12_4 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 12_5 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 12_6 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 12_6_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 12_6_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 12_6_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 12_7 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 12_7_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 12_7_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 12_7_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 11_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 11_1_C ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 11_1_NC ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 11_1_NC_T ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 11_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 11_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 11_4 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 11_5 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 11_6 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 11_7 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 11_7_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 12_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 12_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 12_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 12_4 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 12_5 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 12_6 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 12_6_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 12_6_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 12_6_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 12_7 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 12_7_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 12_7_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 12_7_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_C ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_C_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_C_1_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_C_2_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_C_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_C_1_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_C_2_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_C_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_C_1_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_C_2_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_NC ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_NC_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_NC_1_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_NC_2_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_NC_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_NC_1_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_NC_2_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_NC_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_NC_1_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_NC_2_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_NC_4 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_NC_5 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_5_C ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_5_C_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_5_C_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_5_NC ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_5_NC_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_5_NC_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_5_NC_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_5_NC_4 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_5_NC_5 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_5_NC_6 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_5_NC_7 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_C ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_C_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_C_1_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_C_2_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_C_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_C_1_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_C_2_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_C_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_C_1_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_C_2_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_NC ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_NC_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_NC_1_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_NC_2_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_NC_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_NC_1_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_NC_2_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_NC_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_NC_1_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_NC_2_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_NC_4 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_NC_5 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_5_C ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_5_C_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_5_C_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_5_NC ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_5_NC_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_5_NC_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_5_NC_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_5_NC_4 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_5_NC_5 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_5_NC_6 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_5_NC_7 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_C ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_C_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_C_1_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_C_2_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_C_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_C_1_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_C_2_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_C_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_C_1_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_C_2_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_NC ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_NC_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_NC_1_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_NC_2_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_NC_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_NC_1_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_NC_2_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_NC_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_NC_1_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_NC_2_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_NC_4 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_NC_5 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_5_C ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_5_C_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_5_C_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_5_NC ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_5_NC_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_5_NC_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_5_NC_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_5_NC_4 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_5_NC_5 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_5_NC_6 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_5_NC_7 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_C ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_C_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_C_1_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_C_2_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_C_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_C_1_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_C_2_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_C_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_C_1_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_C_2_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_NC ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_NC_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_NC_1_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_NC_2_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_NC_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_NC_1_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_NC_2_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_NC_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_NC_1_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_NC_2_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_NC_4 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_NC_5 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_5_C ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_5_C_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_5_C_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_5_NC ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_5_NC_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_5_NC_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_5_NC_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_5_NC_4 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_5_NC_5 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_5_NC_6 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_5_NC_7 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 1_2_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 3 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 3_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 3_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 4 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 4_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 4_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 5 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 5_C ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 5_NC ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 5_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 6 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 6_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 6_1_C ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 6_1_NC ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 6_1_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 6_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 6_2_C ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 6_2_NC ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 6_2_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 6_3 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 6_3_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 6_4 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 6_4_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 6_4_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 6_4_3 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 7 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 7_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 7_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 7_3 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 7_3_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 7_3_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 7_3_3 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 7_3_4 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 7_4 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 8 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 8_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 8_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 9 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 10 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 10_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 10_1_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 10_1_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 10_1_3 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 10_1_4 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 10_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 10_3 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 10_3_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 10_3_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 10_3_3 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 10_3_4 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 10_4 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 1_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 1_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 1_2_C ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 1_2_NC ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 1_2_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 3 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 3_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 3_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 4 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 4_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 4_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 5 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 5_C ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 5_NC ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 5_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 6 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 6_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 6_1_C ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 6_1_NC ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 6_1_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 6_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 6_2_C ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 6_2_NC ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 6_2_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 6_3 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 6_3_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 6_4 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 6_4_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 6_4_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 6_4_3 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 7 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 7_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 7_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 7_3 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 7_3_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 7_3_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 7_3_3 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 7_3_4 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 7_4 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 8 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 8_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 8_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 9 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 10 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 10_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 10_1_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 10_1_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 10_1_3 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 10_1_4 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 10_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 10_3 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 10_3_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 10_3_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 10_3_3 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 10_3_4 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 10_4 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 1_2_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 3 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 3_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 3_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 4 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 4_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 4_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 5 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 5_C ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 5_NC ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 5_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 6 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 6_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 6_1_C ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 6_1_NC ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 6_1_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 6_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 6_2_C ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 6_2_NC ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 6_2_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 6_3 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 6_3_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 6_4 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 6_4_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 6_4_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 6_4_3 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 7 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 7_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 7_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 7_3 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 7_3_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 7_3_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 7_3_3 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 7_3_4 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 7_4 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 8 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 8_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 8_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 9 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 10 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 10_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 10_1_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 10_1_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 10_1_3 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 10_1_4 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 10_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 10_3 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 10_3_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 10_3_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 10_3_3 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 10_3_4 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 10_4 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 1_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 1_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 1_2_C ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 1_2_NC ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 1_2_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 3 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 3_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 3_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 4 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 4_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 4_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 5 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 5_C ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 5_NC ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 5_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 6 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 6_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 6_1_C ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 6_1_NC ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 6_1_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 6_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 6_2_C ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 6_2_NC ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 6_2_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 6_3 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 6_3_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 6_4 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 6_4_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 6_4_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 6_4_3 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 7 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 7_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 7_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 7_3 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 7_3_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 7_3_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 7_3_3 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 7_3_4 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 7_4 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 8 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 8_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 8_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 9 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 10 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 10_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 10_1_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 10_1_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 10_1_3 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 10_1_4 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 10_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 10_3 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 10_3_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 10_3_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 10_3_3 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 10_3_4 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 10_4 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 EU2_1 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 EU2_1_C ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 EU2_1_NC ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 EU2_1_1 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 EU2_1_1_C ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 EU2_1_1_NC ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 EU2_1_2 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 EU2_1_2_C ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 EU2_1_2_NC ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 EU2_1_3 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 EU2_1_3_C ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 EU2_1_3_NC ERROR:#REF!
ERROR:#REF! P.OB 2013 1000 m3 1 ERROR:#REF!
ERROR:#REF! P.OB 2013 1000 m3 1_C ERROR:#REF!
ERROR:#REF! P.OB 2013 1000 m3 1_NC ERROR:#REF!
ERROR:#REF! P.OB 2013 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! P.OB 2013 1000 m3 1_1_C ERROR:#REF!
ERROR:#REF! P.OB 2013 1000 m3 1_1_NC ERROR:#REF!
ERROR:#REF! P.OB 2013 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! P.OB 2013 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! P.OB 2013 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! P.OB 2013 1000 m3 1_2_1 ERROR:#REF!
ERROR:#REF! P.OB 2013 1000 m3 1_2_1_C ERROR:#REF!
ERROR:#REF! P.OB 2013 1000 m3 1_2_1_NC ERROR:#REF!
ERROR:#REF! P.OB 2013 1000 m3 1_2_2 ERROR:#REF!
ERROR:#REF! P.OB 2013 1000 m3 1_2_2_C ERROR:#REF!
ERROR:#REF! P.OB 2013 1000 m3 1_2_2_NC ERROR:#REF!
ERROR:#REF! P.OB 2013 1000 m3 1_2_3 ERROR:#REF!
ERROR:#REF! P.OB 2013 1000 m3 1_2_3_C ERROR:#REF!
ERROR:#REF! P.OB 2013 1000 m3 1_2_3_NC ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 1 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 1_C ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 1_NC ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 1_1_C ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 1_1_NC ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 1_2_1 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 1_2_1_C ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 1_2_1_NC ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 1_2_2 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 1_2_2_C ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 1_2_2_NC ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 1_2_3 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 1_2_3_C ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 1_2_3_NC ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 2 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 3 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 3_1 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 3_2 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 4 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 4_1 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 4_2 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 5 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 5_C ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 5_NC ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 5_NC_T ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 6 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 6_1 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 6_1_C ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 6_1_NC ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 6_1_NC_T ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 6_2 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 6_2_C ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 6_2_NC ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 6_2_NC_T ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 6_3 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 6_3_1 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 6_4 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 6_4_1 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 6_4_2 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 6_4_3 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 7 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 7_1 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 7_2 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 7_3 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 7_3_1 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 7_3_2 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 7_3_3 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 7_3_4 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 7_4 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 8 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 8_1 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 8_2 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 9 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 10 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 10_1 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 10_1_1 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 10_1_2 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 10_1_3 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 10_1_4 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 10_2 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 10_3 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 10_3_1 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 10_3_2 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 10_3_3 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 10_3_4 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 10_4 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 1 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 1_2_NC_T ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 2 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 3 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 3_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 3_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 4 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 4_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 4_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 5 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 5_C ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 5_NC ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 5_NC_T ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 6 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 6_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 6_1_C ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 6_1_NC ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 6_1_NC_T ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 6_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 6_2_C ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 6_2_NC ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 6_2_NC_T ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 6_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 6_3_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 6_4 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 6_4_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 6_4_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 6_4_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 7 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 7_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 7_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 7_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 7_3_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 7_3_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 7_3_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 7_3_4 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 7_4 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 8 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 8_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 8_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 9 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 10 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 10_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 10_1_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 10_1_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 10_1_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 10_1_4 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 10_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 10_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 10_3_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 10_3_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 10_3_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 10_3_4 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 10_4 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 1_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 1_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 1_2_C ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 1_2_NC ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 1_2_NC_T ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 3 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 3_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 3_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 4 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 4_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 4_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 5 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 5_C ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 5_NC ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 5_NC_T ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 6 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 6_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 6_1_C ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 6_1_NC ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 6_1_NC_T ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 6_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 6_2_C ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 6_2_NC ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 6_2_NC_T ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 6_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 6_3_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 6_4 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 6_4_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 6_4_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 6_4_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 7 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 7_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 7_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 7_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 7_3_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 7_3_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 7_3_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 7_3_4 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 7_4 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 8 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 8_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 8_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 9 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 10 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 10_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 10_1_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 10_1_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 10_1_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 10_1_4 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 10_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 10_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 10_3_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 10_3_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 10_3_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 10_3_4 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 10_4 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 1 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 1_2_NC_T ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 2 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 3 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 3_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 3_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 4 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 4_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 4_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 5 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 5_C ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 5_NC ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 5_NC_T ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 6 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 6_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 6_1_C ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 6_1_NC ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 6_1_NC_T ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 6_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 6_2_C ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 6_2_NC ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 6_2_NC_T ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 6_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 6_3_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 6_4 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 6_4_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 6_4_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 6_4_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 7 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 7_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 7_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 7_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 7_3_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 7_3_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 7_3_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 7_3_4 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 7_4 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 8 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 8_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 8_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 9 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 10 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 10_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 10_1_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 10_1_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 10_1_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 10_1_4 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 10_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 10_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 10_3_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 10_3_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 10_3_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 10_3_4 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 10_4 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 1_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 1_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 1_2_C ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 1_2_NC ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 1_2_NC_T ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 3 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 3_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 3_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 4 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 4_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 4_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 5 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 5_C ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 5_NC ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 5_NC_T ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 6 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 6_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 6_1_C ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 6_1_NC ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 6_1_NC_T ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 6_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 6_2_C ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 6_2_NC ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 6_2_NC_T ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 6_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 6_3_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 6_4 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 6_4_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 6_4_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 6_4_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 7 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 7_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 7_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 7_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 7_3_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 7_3_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 7_3_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 7_3_4 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 7_4 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 8 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 8_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 8_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 9 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 10 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 10_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 10_1_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 10_1_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 10_1_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 10_1_4 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 10_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 10_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 10_3_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 10_3_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 10_3_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 10_3_4 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 10_4 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 11_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 11_1_C ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 11_1_NC ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 11_1_NC_T ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 11_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 11_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 11_4 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 11_5 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 11_6 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 11_7 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 11_7_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 12_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 12_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 12_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 12_4 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 12_5 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 12_6 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 12_6_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 12_6_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 12_6_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 12_7 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 12_7_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 12_7_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 12_7_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 11_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 11_1_C ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 11_1_NC ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 11_1_NC_T ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 11_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 11_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 11_4 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 11_5 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 11_6 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 11_7 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 11_7_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 12_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 12_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 12_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 12_4 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 12_5 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 12_6 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 12_6_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 12_6_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 12_6_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 12_7 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 12_7_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 12_7_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 12_7_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_C ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_C_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_C_1_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_C_2_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_C_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_C_1_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_C_2_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_C_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_C_1_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_C_2_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_NC ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_NC_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_NC_1_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_NC_2_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_NC_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_NC_1_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_NC_2_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_NC_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_NC_1_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_NC_2_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_NC_4 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_NC_5 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_5_C ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_5_C_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_5_C_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_5_NC ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_5_NC_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_5_NC_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_5_NC_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_5_NC_4 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_5_NC_5 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_5_NC_6 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_5_NC_7 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_C ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_C_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_C_1_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_C_2_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_C_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_C_1_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_C_2_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_C_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_C_1_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_C_2_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_NC ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_NC_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_NC_1_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_NC_2_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_NC_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_NC_1_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_NC_2_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_NC_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_NC_1_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_NC_2_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_NC_4 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_NC_5 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_5_C ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_5_C_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_5_C_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_5_NC ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_5_NC_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_5_NC_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_5_NC_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_5_NC_4 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_5_NC_5 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_5_NC_6 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_5_NC_7 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_C ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_C_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_C_1_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_C_2_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_C_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_C_1_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_C_2_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_C_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_C_1_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_C_2_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_NC ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_NC_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_NC_1_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_NC_2_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_NC_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_NC_1_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_NC_2_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_NC_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_NC_1_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_NC_2_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_NC_4 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_NC_5 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_5_C ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_5_C_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_5_C_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_5_NC ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_5_NC_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_5_NC_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_5_NC_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_5_NC_4 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_5_NC_5 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_5_NC_6 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_5_NC_7 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_C ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_C_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_C_1_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_C_2_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_C_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_C_1_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_C_2_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_C_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_C_1_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_C_2_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_NC ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_NC_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_NC_1_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_NC_2_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_NC_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_NC_1_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_NC_2_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_NC_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_NC_1_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_NC_2_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_NC_4 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_NC_5 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_5_C ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_5_C_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_5_C_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_5_NC ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_5_NC_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_5_NC_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_5_NC_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_5_NC_4 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_5_NC_5 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_5_NC_6 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_5_NC_7 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 1_2_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 3 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 3_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 3_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 4 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 4_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 4_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 5 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 5_C ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 5_NC ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 5_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 6 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 6_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 6_1_C ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 6_1_NC ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 6_1_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 6_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 6_2_C ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 6_2_NC ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 6_2_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 6_3 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 6_3_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 6_4 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 6_4_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 6_4_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 6_4_3 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 7 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 7_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 7_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 7_3 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 7_3_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 7_3_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 7_3_3 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 7_3_4 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 7_4 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 8 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 8_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 8_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 9 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 10 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 10_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 10_1_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 10_1_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 10_1_3 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 10_1_4 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 10_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 10_3 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 10_3_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 10_3_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 10_3_3 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 10_3_4 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 10_4 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 1_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 1_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 1_2_C ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 1_2_NC ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 1_2_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 3 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 3_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 3_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 4 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 4_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 4_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 5 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 5_C ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 5_NC ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 5_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 6 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 6_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 6_1_C ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 6_1_NC ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 6_1_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 6_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 6_2_C ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 6_2_NC ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 6_2_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 6_3 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 6_3_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 6_4 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 6_4_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 6_4_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 6_4_3 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 7 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 7_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 7_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 7_3 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 7_3_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 7_3_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 7_3_3 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 7_3_4 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 7_4 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 8 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 8_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 8_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 9 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 10 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 10_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 10_1_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 10_1_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 10_1_3 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 10_1_4 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 10_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 10_3 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 10_3_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 10_3_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 10_3_3 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 10_3_4 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 10_4 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 1_2_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 3 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 3_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 3_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 4 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 4_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 4_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 5 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 5_C ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 5_NC ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 5_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 6 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 6_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 6_1_C ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 6_1_NC ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 6_1_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 6_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 6_2_C ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 6_2_NC ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 6_2_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 6_3 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 6_3_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 6_4 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 6_4_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 6_4_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 6_4_3 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 7 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 7_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 7_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 7_3 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 7_3_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 7_3_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 7_3_3 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 7_3_4 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 7_4 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 8 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 8_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 8_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 9 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 10 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 10_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 10_1_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 10_1_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 10_1_3 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 10_1_4 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 10_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 10_3 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 10_3_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 10_3_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 10_3_3 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 10_3_4 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 10_4 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 1_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 1_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 1_2_C ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 1_2_NC ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 1_2_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 3 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 3_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 3_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 4 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 4_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 4_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 5 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 5_C ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 5_NC ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 5_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 6 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 6_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 6_1_C ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 6_1_NC ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 6_1_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 6_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 6_2_C ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 6_2_NC ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 6_2_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 6_3 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 6_3_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 6_4 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 6_4_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 6_4_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 6_4_3 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 7 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 7_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 7_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 7_3 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 7_3_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 7_3_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 7_3_3 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 7_3_4 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 7_4 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 8 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 8_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 8_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 9 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 10 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 10_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 10_1_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 10_1_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 10_1_3 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 10_1_4 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 10_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 10_3 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 10_3_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 10_3_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 10_3_3 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 10_3_4 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 10_4 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 EU2_1 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 EU2_1_C ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 EU2_1_NC ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 EU2_1_1 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 EU2_1_1_C ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 EU2_1_1_NC ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 EU2_1_2 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 EU2_1_2_C ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 EU2_1_2_NC ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 EU2_1_3 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 EU2_1_3_C ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 EU2_1_3_NC ERROR:#REF!
ERROR:#REF! P.OB 2012 1000 m3 1 ERROR:#REF!
ERROR:#REF! P.OB 2012 1000 m3 1_C ERROR:#REF!
ERROR:#REF! P.OB 2012 1000 m3 1_NC ERROR:#REF!
ERROR:#REF! P.OB 2012 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! P.OB 2012 1000 m3 1_1_C ERROR:#REF!
ERROR:#REF! P.OB 2012 1000 m3 1_1_NC ERROR:#REF!
ERROR:#REF! P.OB 2012 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! P.OB 2012 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! P.OB 2012 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! P.OB 2012 1000 m3 1_2_1 ERROR:#REF!
ERROR:#REF! P.OB 2012 1000 m3 1_2_1_C ERROR:#REF!
ERROR:#REF! P.OB 2012 1000 m3 1_2_1_NC ERROR:#REF!
ERROR:#REF! P.OB 2012 1000 m3 1_2_2 ERROR:#REF!
ERROR:#REF! P.OB 2012 1000 m3 1_2_2_C ERROR:#REF!
ERROR:#REF! P.OB 2012 1000 m3 1_2_2_NC ERROR:#REF!
ERROR:#REF! P.OB 2012 1000 m3 1_2_3 ERROR:#REF!
ERROR:#REF! P.OB 2012 1000 m3 1_2_3_C ERROR:#REF!
ERROR:#REF! P.OB 2012 1000 m3 1_2_3_NC ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 1 ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 1_C ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 1_NC ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 1_1_C ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 1_1_NC ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 1_2_1 ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 1_2_1_C ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 1_2_1_NC ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 1_2_2 ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 1_2_2_C ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 1_2_2_NC ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 1_2_3 ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 1_2_3_C ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 1_2_3_NC ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 2 ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 3 ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 3_1 ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 3_2 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 4 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 4_1 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 4_2 ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 5 ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 5_C ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 5_NC ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 5_NC_T ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 6 ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 6_1 ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 6_1_C ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 6_1_NC ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 6_1_NC_T ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 6_2 ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 6_2_C ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 6_2_NC ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 6_2_NC_T ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 6_3 ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 6_3_1 ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 6_4 ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 6_4_1 ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 6_4_2 ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 6_4_3 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 7 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 7_1 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 7_2 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 7_3 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 7_3_1 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 7_3_2 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 7_3_3 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 7_3_4 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 7_4 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 8 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 8_1 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 8_2 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 9 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 10 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 10_1 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 10_1_1 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 10_1_2 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 10_1_3 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 10_1_4 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 10_2 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 10_3 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 10_3_1 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 10_3_2 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 10_3_3 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 10_3_4 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 10_4 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 1 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 1_2_NC_T ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 2 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 3 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 3_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 3_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 4 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 4_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 4_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 5 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 5_C ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 5_NC ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 5_NC_T ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 6 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 6_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 6_1_C ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 6_1_NC ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 6_1_NC_T ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 6_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 6_2_C ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 6_2_NC ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 6_2_NC_T ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 6_3 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 6_3_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 6_4 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 6_4_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 6_4_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 6_4_3 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 7 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 7_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 7_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 7_3 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 7_3_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 7_3_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 7_3_3 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 7_3_4 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 7_4 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 8 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 8_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 8_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 9 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 10 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 10_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 10_1_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 10_1_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 10_1_3 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 10_1_4 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 10_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 10_3 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 10_3_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 10_3_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 10_3_3 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 10_3_4 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 10_4 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 1 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 1_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 1_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 1_2_C ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 1_2_NC ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 1_2_NC_T ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 2 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 3 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 3_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 3_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 4 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 4_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 4_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 5 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 5_C ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 5_NC ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 5_NC_T ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 6 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 6_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 6_1_C ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 6_1_NC ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 6_1_NC_T ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 6_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 6_2_C ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 6_2_NC ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 6_2_NC_T ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 6_3 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 6_3_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 6_4 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 6_4_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 6_4_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 6_4_3 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 7 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 7_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 7_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 7_3 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 7_3_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 7_3_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 7_3_3 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 7_3_4 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 7_4 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 8 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 8_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 8_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 9 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 10 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 10_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 10_1_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 10_1_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 10_1_3 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 10_1_4 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 10_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 10_3 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 10_3_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 10_3_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 10_3_3 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 10_3_4 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 10_4 ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 1 ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 1_2_NC_T ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 2 ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 3 ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 3_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 3_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 4 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 4_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 4_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 5 ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 5_C ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 5_NC ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 5_NC_T ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 6 ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 6_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 6_1_C ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 6_1_NC ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 6_1_NC_T ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 6_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 6_2_C ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 6_2_NC ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 6_2_NC_T ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 6_3 ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 6_3_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 6_4 ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 6_4_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 6_4_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 6_4_3 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 7 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 7_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 7_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 7_3 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 7_3_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 7_3_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 7_3_3 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 7_3_4 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 7_4 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 8 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 8_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 8_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 9 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 10 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 10_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 10_1_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 10_1_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 10_1_3 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 10_1_4 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 10_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 10_3 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 10_3_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 10_3_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 10_3_3 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 10_3_4 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 10_4 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 1 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 1_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 1_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 1_2_C ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 1_2_NC ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 1_2_NC_T ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 2 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 3 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 3_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 3_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 4 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 4_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 4_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 5 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 5_C ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 5_NC ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 5_NC_T ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 6 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 6_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 6_1_C ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 6_1_NC ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 6_1_NC_T ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 6_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 6_2_C ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 6_2_NC ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 6_2_NC_T ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 6_3 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 6_3_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 6_4 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 6_4_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 6_4_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 6_4_3 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 7 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 7_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 7_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 7_3 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 7_3_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 7_3_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 7_3_3 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 7_3_4 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 7_4 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 8 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 8_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 8_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 9 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 10 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 10_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 10_1_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 10_1_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 10_1_3 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 10_1_4 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 10_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 10_3 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 10_3_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 10_3_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 10_3_3 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 10_3_4 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 10_4 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 11_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 11_1_C ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 11_1_NC ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 11_1_NC_T ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 11_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 11_3 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 11_4 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 11_5 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 11_6 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 11_7 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 11_7_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 12_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 12_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 12_3 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 12_4 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 12_5 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 12_6 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 12_6_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 12_6_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 12_6_3 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 12_7 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 12_7_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 12_7_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 12_7_3 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 11_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 11_1_C ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 11_1_NC ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 11_1_NC_T ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 11_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 11_3 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 11_4 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 11_5 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 11_6 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 11_7 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 11_7_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 12_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 12_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 12_3 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 12_4 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 12_5 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 12_6 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 12_6_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 12_6_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 12_6_3 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 12_7 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 12_7_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 12_7_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 12_7_3 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 ST_1_2_C ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 ST_1_2_C_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 ST_1_2_C_1_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 ST_1_2_C_2_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 ST_1_2_C_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 ST_1_2_C_1_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 ST_1_2_C_2_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 ST_1_2_C_3 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 ST_1_2_C_1_3 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 ST_1_2_C_2_3 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 ST_1_2_NC ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 ST_1_2_NC_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 ST_1_2_NC_1_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 ST_1_2_NC_2_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 ST_1_2_NC_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 ST_1_2_NC_1_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 ST_1_2_NC_2_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 ST_1_2_NC_3 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 ST_1_2_NC_1_3 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 ST_1_2_NC_2_3 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 ST_1_2_NC_4 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 ST_1_2_NC_5 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 ST_5_C ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 ST_5_C_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 ST_5_C_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 ST_5_NC ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 ST_5_NC_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 ST_5_NC_2