Chemical wood pulp, sulphite, unbleached (1961-2016) β Import value 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, unbleached (1961-2016) β Import value is currently reported for 117 countries. The highest value is 27,709 1000 USD in Yugoslav SFR; the lowest is 0 1000 USD in China, Macao SAR.
The median across all reporting countries is 0 1000 USD, and the mean is 606.97 1000 USD.
Over the past decade 12 countries rose and 47 fell. The largest increase was in Belgium (up 14,841.7%), and the largest decrease in Bangladesh (down 100.0%).
Chemical wood pulp, sulphite, unbleached (1961-2016) β Import value: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Yugoslav SFR | 27,709 1000 USD | 1990 | up 220.7% | volatile |
| 2 | Jordan | 8,910 1000 USD | 2006 | β | volatile |
| 3 | Thailand | 6,984 1000 USD | 2016 | up 107.2% | volatile |
| 4 | China | 6,686 1000 USD | 2016 | down 45.0% | volatile |
| 5 | China, mainland | 4,913 1000 USD | 2016 | down 59.0% | volatile |
| 6 | Slovakia | 3,687 1000 USD | 2016 | β | volatile |
| 7 | Canada | 1,833 1000 USD | 2016 | up 67.9% | volatile |
| 8 | Belgium | 1,793 1000 USD | 2016 | up 14,841.7% | volatile |
| 9 | China, Taiwan Province of | 1,773 1000 USD | 2016 | up 901.7% | volatile |
| 10 | Germany | 1,304 1000 USD | 2016 | down 21.1% | volatile |
| 11 | Indonesia | 977 1000 USD | 2016 | down 84.9% | volatile |
| 12 | Belgium-Luxembourg | 722 1000 USD | 1999 | down 90.1% | volatile |
| 13 | Czechoslovakia | 700 1000 USD | 1980 | up 26.1% | volatile |
| 14 | United Kingdom of Great Britain and Northern Ireland | 630 1000 USD | 2016 | down 59.0% | volatile |
| 15 | India | 530 1000 USD | 2016 | up 679.4% | volatile |
| 16 | Israel | 327 1000 USD | 2016 | up 473.7% | volatile |
| 17 | France | 254 1000 USD | 2016 | up 30.3% | volatile |
| 18 | Sweden | 197 1000 USD | 2016 | down 48.2% | volatile |
| 19 | Italy | 178 1000 USD | 2016 | down 83.1% | volatile |
| 20 | Democratic People's Republic of Korea | 168 1000 USD | 2016 | up 42.4% | volatile |
| 21 | Czechia | 137 1000 USD | 2016 | down 95.2% | volatile |
| 22 | Japan | 118 1000 USD | 2016 | up 5.4% | volatile |
| 23 | Philippines | 65 1000 USD | 2016 | down 98.7% | volatile |
| 24 | Australia | 58 1000 USD | 2016 | down 42.0% | volatile |
| 24 | Australia and New Zealand | 58 1000 USD | 2016 | down 42.0% | volatile |
| 26 | Republic of Korea | 57 1000 USD | 2016 | β | volatile |
| 27 | Spain | 51 1000 USD | 2016 | down 35.4% | volatile |
| 28 | Venezuela (Bolivarian Republic of) | 46 1000 USD | 2016 | β | volatile |
| 29 | Norway | 36 1000 USD | 2016 | down 78.0% | volatile |
| 30 | Poland | 33 1000 USD | 2016 | down 83.7% | volatile |
| 31 | Russian Federation | 18 1000 USD | 2016 | down 52.6% | volatile |
| 32 | Albania | 15 1000 USD | 2016 | unchanged | flat |
| 32 | Denmark | 15 1000 USD | 2016 | down 40.0% | volatile |
| 34 | Viet Nam | 10 1000 USD | 2016 | β | volatile |
| 35 | Botswana | 6 1000 USD | 2016 | up 100.0% | rising |
| 36 | United Arab Emirates | 3 1000 USD | 2016 | down 98.7% | volatile |
| 36 | Kazakhstan | 3 1000 USD | 2016 | down 91.4% | volatile |
| 36 | Malta | 3 1000 USD | 2016 | β | volatile |
| 36 | Malaysia | 3 1000 USD | 2016 | down 99.1% | volatile |
| 40 | Tunisia | 2 1000 USD | 2006 | down 96.0% | volatile |
| 41 | Armenia | 1 1000 USD | 2016 | β | volatile |
| 41 | Greenland | 1 1000 USD | 2016 | β | volatile |
| 41 | Slovenia | 1 1000 USD | 2016 | down 99.4% | volatile |
| 44 | Argentina | 0 1000 USD | 2016 | β | volatile |
| 44 | Austria | 0 1000 USD | 2016 | β | volatile |
| 44 | Azerbaijan | 0 1000 USD | 2016 | β | flat |
| 44 | Bangladesh | 0 1000 USD | 2016 | down 100.0% | volatile |
| 44 | Bulgaria | 0 1000 USD | 2016 | β | volatile |
| 44 | Bahamas | 0 1000 USD | 2016 | down 100.0% | volatile |
| 44 | Bosnia and Herzegovina | 0 1000 USD | 2016 | β | volatile |
| 44 | Belarus | 0 1000 USD | 2016 | down 100.0% | volatile |
| 44 | Brazil | 0 1000 USD | 2016 | β | volatile |
| 44 | Barbados | 0 1000 USD | 2016 | β | volatile |
| 44 | Switzerland | 0 1000 USD | 2016 | down 100.0% | volatile |
| 44 | Colombia | 0 1000 USD | 2016 | β | volatile |
| 44 | Costa Rica | 0 1000 USD | 2016 | β | volatile |
| 44 | Cuba | 0 1000 USD | 2016 | β | volatile |
| 44 | Cyprus | 0 1000 USD | 2016 | β | volatile |
| 44 | Dominican Republic | 0 1000 USD | 2016 | down 100.0% | volatile |
| 44 | Algeria | 0 1000 USD | 2016 | down 100.0% | volatile |
| 44 | Ecuador | 0 1000 USD | 2016 | β | flat |
| 44 | Egypt | 0 1000 USD | 2016 | down 100.0% | volatile |
| 44 | Estonia | 0 1000 USD | 2016 | β | flat |
| 44 | Finland | 0 1000 USD | 2016 | down 100.0% | volatile |
| 44 | Georgia | 0 1000 USD | 2016 | β | flat |
| 44 | Greece | 0 1000 USD | 2016 | β | volatile |
| 44 | Guatemala | 0 1000 USD | 2016 | down 100.0% | volatile |
| 44 | Croatia | 0 1000 USD | 2016 | down 100.0% | volatile |
| 44 | Hungary | 0 1000 USD | 2016 | β | volatile |
| 44 | Ireland | 0 1000 USD | 2016 | down 100.0% | volatile |
| 44 | Iraq | 0 1000 USD | 2016 | down 100.0% | volatile |
| 44 | Iceland | 0 1000 USD | 2016 | β | volatile |
| 44 | Kenya | 0 1000 USD | 2016 | down 100.0% | volatile |
| 44 | Kyrgyzstan | 0 1000 USD | 2016 | β | volatile |
| 44 | Lebanon | 0 1000 USD | 2016 | down 100.0% | volatile |
| 44 | Sri Lanka | 0 1000 USD | 2016 | β | flat |
| 44 | Lithuania | 0 1000 USD | 2016 | β | volatile |
| 44 | Luxembourg | 0 1000 USD | 2016 | down 100.0% | volatile |
| 44 | Latvia | 0 1000 USD | 2016 | β | volatile |
| 44 | Morocco | 0 1000 USD | 2016 | β | volatile |
| 44 | Mexico | 0 1000 USD | 2016 | down 100.0% | volatile |
| 44 | North Macedonia | 0 1000 USD | 2016 | β | volatile |
| 44 | Montenegro | 0 1000 USD | 2016 | β | flat |
| 44 | Mauritius | 0 1000 USD | 2016 | β | flat |
| 44 | Namibia | 0 1000 USD | 2016 | β | volatile |
| 44 | Nigeria | 0 1000 USD | 2016 | β | volatile |
| 44 | Nicaragua | 0 1000 USD | 2016 | β | flat |
| 44 | New Zealand | 0 1000 USD | 2016 | β | volatile |
| 44 | Oman | 0 1000 USD | 2016 | down 100.0% | volatile |
| 44 | Pakistan | 0 1000 USD | 2016 | β | volatile |
| 44 | Peru | 0 1000 USD | 2016 | β | volatile |
| 44 | Portugal | 0 1000 USD | 2016 | β | volatile |
| 44 | Qatar | 0 1000 USD | 2016 | β | volatile |
| 44 | Romania | 0 1000 USD | 2016 | down 100.0% | volatile |
| 44 | Saudi Arabia | 0 1000 USD | 2016 | down 100.0% | volatile |
| 44 | Singapore | 0 1000 USD | 2016 | β | volatile |
| 44 | El Salvador | 0 1000 USD | 2016 | down 100.0% | volatile |
| 44 | Somalia | 0 1000 USD | 2016 | down 100.0% | volatile |
| 44 | Serbia | 0 1000 USD | 2016 | β | volatile |
| 44 | Tajikistan | 0 1000 USD | 2016 | β | flat |
| 44 | Turkmenistan | 0 1000 USD | 2016 | β | flat |
| 44 | Trinidad and Tobago | 0 1000 USD | 2016 | down 100.0% | falling |
| 44 | Ukraine | 0 1000 USD | 2016 | down 100.0% | volatile |
| 44 | Uruguay | 0 1000 USD | 2016 | β | volatile |
| 44 | Uzbekistan | 0 1000 USD | 2016 | β | volatile |
| 44 | Yemen | 0 1000 USD | 2016 | down 100.0% | volatile |
| 44 | Zimbabwe | 0 1000 USD | 2016 | β | volatile |
| 44 | Martinique | 0 1000 USD | 2016 | β | flat |
| 44 | Serbia and Montenegro | 0 1000 USD | 2005 | β | flat |
| 44 | China, Hong Kong SAR | 0 1000 USD | 2016 | β | volatile |
| 44 | Iran (Islamic Republic of) | 0 1000 USD | 2016 | β | volatile |
| 44 | Republic of Moldova | 0 1000 USD | 2016 | β | flat |
| 44 | Syrian Arab Republic | 0 1000 USD | 2016 | β | volatile |
| 44 | TΓΌrkiye | 0 1000 USD | 2016 | down 100.0% | volatile |
| 44 | CΓ΄te d'Ivoire | 0 1000 USD | 2016 | β | flat |
| 44 | Netherlands (Kingdom of the) | 0 1000 USD | 2016 | β | volatile |
| 44 | China, Macao SAR | 0 1000 USD | 2016 | β | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 26,575 1000 USD
- Asia 15,932 1000 USD
- Europe 8,352 1000 USD
- South-Eastern Asia 8,039 1000 USD
- Eastern Asia 7,029 1000 USD
- Eastern Europe 3,875 1000 USD
- Western Europe 3,351 1000 USD
- Americas 1,880 1000 USD
- Northern America 1,834 1000 USD
- Northern Europe 878 1000 USD
- Southern Asia 530 1000 USD
- Low Income Food Deficit Countries (LIFDCs) 513 1000 USD
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