Chemical wood pulp, sulphite, bleached (1961-2016) — Export quantity by country
The database contains data on the production and trade in roundwood and in primary wood and paper products for all countries and territories in the world.The main types of primary forest products included in this database are roundwood, sawnwood, wood-based panels, pulp, and paper and paperboard. These products are...
What the numbers show
Chemical wood pulp, sulphite, bleached (1961-2016) — Export quantity is currently reported for 95 countries. The highest value is 336,237 t in Canada; the lowest is 0 t in China, Macao SAR.
The median across all reporting countries is 1 t, and the mean is 8,194 t.
Over the past decade 5 countries rose and 58 fell. The largest increase was in Belgium-Luxembourg (up 2,200.0%), and the largest decrease in Angola (down 100.0%).
Chemical wood pulp, sulphite, bleached (1961-2016) — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Canada | 336,237 t | 2016 | up 35.6% | falling |
| 2 | Czechoslovakia | 206,300 t | 1992 | — | volatile |
| 3 | Germany | 84,000 t | 2016 | down 46.4% | rising |
| 4 | Sweden | 28,608 t | 2016 | down 41.6% | volatile |
| 5 | United States | 26,396 t | 2016 | down 74.2% | volatile |
| 6 | Belgium-Luxembourg | 23,000 t | 1999 | up 2,200.0% | volatile |
| 7 | Russia | 18,081 t | 2016 | down 81.0% | volatile |
| 7 | Russian Federation | 18,081 t | 2016 | down 81.0% | volatile |
| 9 | France | 14,544 t | 2016 | down 83.2% | volatile |
| 10 | Yugoslav SFR | 13,400 t | 1991 | down 72.9% | volatile |
| 11 | Netherlands (Kingdom of the) | 3,100 t | 2016 | down 96.5% | volatile |
| 12 | Indonesia | 1,971 t | 2016 | up 279.8% | volatile |
| 13 | Serbia and Montenegro | 1,000 t | 2005 | — | volatile |
| 14 | Portugal | 903 t | 2016 | down 99.2% | rising |
| 15 | Belgium | 569 t | 2016 | down 91.3% | volatile |
| 16 | Pakistan | 299 t | 2016 | — | flat |
| 17 | United Arab Emirates | 295 t | 2016 | — | volatile |
| 18 | Finland | 249 t | 2016 | — | volatile |
| 19 | Norway | 245 t | 2016 | down 97.7% | volatile |
| 20 | China | 193 t | 2016 | down 74.8% | volatile |
| 21 | China, Taiwan Province of | 140 t | 2016 | up 775.0% | volatile |
| 22 | Italy | 118 t | 2016 | down 62.1% | volatile |
| 23 | Spain | 113 t | 2016 | down 77.1% | volatile |
| 24 | Czechia | 94 t | 2016 | down 100.0% | volatile |
| 25 | Austria | 60 t | 2016 | down 99.3% | volatile |
| 26 | China, mainland | 53 t | 2016 | down 92.9% | volatile |
| 27 | Turkey | 50 t | 2016 | — | volatile |
| 27 | Türkiye | 50 t | 2016 | — | volatile |
| 29 | Hungary | 36 t | 2016 | — | volatile |
| 29 | South Africa | 36 t | 2016 | down 99.7% | volatile |
| 31 | Poland | 29 t | 2016 | — | volatile |
| 32 | Switzerland | 21 t | 2016 | down 99.9% | volatile |
| 33 | Afghanistan | 19 t | 2016 | unchanged | volatile |
| 33 | Denmark | 19 t | 2016 | down 79.3% | volatile |
| 35 | North Macedonia | 18 t | 2016 | — | volatile |
| 36 | Singapore | 17 t | 2016 | — | volatile |
| 37 | United Kingdom | 9 t | 2016 | down 82.7% | volatile |
| 37 | United Kingdom of Great Britain and Northern Ireland | 9 t | 2016 | down 82.7% | volatile |
| 39 | Malaysia | 7 t | 2016 | down 85.7% | volatile |
| 39 | Slovenia | 7 t | 2016 | down 100.0% | volatile |
| 41 | Latvia | 6 t | 2016 | up 20.0% | volatile |
| 41 | Romania | 6 t | 2016 | — | volatile |
| 43 | Greece | 4 t | 2016 | down 93.3% | volatile |
| 44 | Japan | 3 t | 2016 | — | volatile |
| 45 | Croatia | 2 t | 2016 | — | volatile |
| 45 | Lithuania | 2 t | 2016 | down 50.0% | volatile |
| 45 | Slovakia | 2 t | 2016 | down 99.8% | volatile |
| 48 | Brazil | 1 t | 2016 | down 97.6% | volatile |
| 48 | Guatemala | 1 t | 2016 | down 93.3% | volatile |
| 50 | Angola | 0 t | 2016 | down 100.0% | falling |
| 50 | Argentina | 0 t | 2016 | down 100.0% | volatile |
| 50 | Australia | 0 t | 2016 | down 100.0% | volatile |
| 50 | Azerbaijan | 0 t | 2016 | — | volatile |
| 50 | Bulgaria | 0 t | 2016 | down 100.0% | volatile |
| 50 | Bosnia and Herzegovina | 0 t | 2016 | — | volatile |
| 50 | Belarus | 0 t | 2016 | — | volatile |
| 50 | Barbados | 0 t | 2016 | down 100.0% | volatile |
| 50 | Brunei | 0 t | 2016 | down 100.0% | volatile |
| 50 | Costa Rica | 0 t | 2016 | down 100.0% | volatile |
| 50 | Cyprus | 0 t | 2016 | — | volatile |
| 50 | Djibouti | 0 t | 2016 | down 100.0% | volatile |
| 50 | Dominica | 0 t | 2016 | down 100.0% | volatile |
| 50 | Algeria | 0 t | 2016 | — | volatile |
| 50 | Estonia | 0 t | 2016 | — | volatile |
| 50 | Fiji | 0 t | 2016 | down 100.0% | volatile |
| 50 | India | 0 t | 2016 | down 100.0% | volatile |
| 50 | Ireland | 0 t | 2016 | — | volatile |
| 50 | Israel | 0 t | 2016 | — | volatile |
| 50 | Jordan | 0 t | 2016 | down 100.0% | volatile |
| 50 | Kazakhstan | 0 t | 2016 | — | volatile |
| 50 | Kenya | 0 t | 2016 | — | volatile |
| 50 | Cambodia | 0 t | 2016 | down 100.0% | volatile |
| 50 | Sri Lanka | 0 t | 2016 | down 100.0% | volatile |
| 50 | Luxembourg | 0 t | 2016 | down 100.0% | volatile |
| 50 | Morocco | 0 t | 2016 | down 100.0% | volatile |
| 50 | New Zealand | 0 t | 2016 | — | volatile |
| 50 | Qatar | 0 t | 2016 | down 100.0% | volatile |
| 50 | Sierra Leone | 0 t | 2016 | down 100.0% | volatile |
| 50 | El Salvador | 0 t | 2016 | down 100.0% | volatile |
| 50 | Somalia | 0 t | 2016 | down 100.0% | volatile |
| 50 | Serbia | 0 t | 2016 | down 100.0% | volatile |
| 50 | Thailand | 0 t | 2016 | down 100.0% | volatile |
| 50 | Tunisia | 0 t | 2016 | down 100.0% | volatile |
| 50 | Ukraine | 0 t | 2016 | down 100.0% | volatile |
| 50 | Vietnam | 0 t | 2016 | — | volatile |
| 50 | Zimbabwe | 0 t | 2016 | down 100.0% | volatile |
| 50 | Melanesia | 0 t | 2016 | down 100.0% | volatile |
| 50 | Caribbean | 0 t | 2016 | down 100.0% | volatile |
| 50 | China, Hong Kong SAR | 0 t | 2016 | — | volatile |
| 50 | Iran (Islamic Republic of) | 0 t | 2016 | — | volatile |
| 50 | Republic of Korea | 0 t | 2016 | — | volatile |
| 50 | Viet Nam | 0 t | 2016 | — | volatile |
| 50 | Australia and New Zealand | 0 t | 2016 | down 100.0% | volatile |
| 50 | Brunei Darussalam | 0 t | 2016 | down 100.0% | volatile |
| 50 | China, Macao SAR | 0 t | 2016 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 516,370 t
- Americas 362,635 t
- Northern America 362,633 t
- Europe 150,845 t
- Western Europe 102,294 t
- Northern Europe 29,138 t
- United States of America 26,396 t
- Eastern Europe 18,248 t
- Asia 2,854 t
- South-Eastern Asia 1,995 t
- Southern Europe 1,165 t
- Western Asia 345 t
- Southern Asia 318 t
- Net Food Importing Developing Countries (NFIDCs) 318 t
- Eastern Asia 196 t
- Land Locked Developing Countries (LLDCs) 37 t
- Africa 36 t
- Southern Africa 36 t
- Least Developed Countries (LDCs) 19 t
- Low Income Food Deficit Countries (LIFDCs) 19 t
- Small island developing States (SIDS) 17 t
- South America 1 t
- Central America 1 t
- Oceania 0 t
- Central Asia 0 t
- Eastern Africa 0 t
- Northern Africa 0 t
- Western Africa 0 t
- Middle Africa 0 t
About this data
The database contains data on the production and trade in roundwood and in primary wood and paper products for all countries and territories in the world.The main types of primary forest products included in this database are roundwood, sawnwood, wood-based panels, pulp, and paper and paperboard. These products are detailed further and defined in the Joint Forest Sector Questionnaire (JFSQ) (https://www.fao.org/statistics/data-collection/forestry/en). The database contains details of the following topics: - roundwood removals (production) by coniferous and non-coniferous wood and assortments, - production and trade in industrial roundwood, sawnwood, wood-based panels, wood charcoal, pulp, paper and paperboard, and other products. More detailed information on wood products, including definitions, can be found at: https://www.fao.org/statistics/data-collection/forestry/en