Chemical wood pulp, sulphite, bleached (1961-2016) β Import 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) β Import quantity is currently reported for 171 countries. The highest value is 150,000 t in USSR; the lowest is 0 t in China, Macao SAR.
The median across all reporting countries is 33 t, and the mean is 4,524 t.
Over the past decade 23 countries rose and 115 fell. The largest increase was in Estonia (up 37,180.0%), and the largest decrease in Angola (down 100.0%).
Chemical wood pulp, sulphite, bleached (1961-2016) β Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | USSR | 150,000 t | 1991 | down 45.0% | falling |
| 2 | Belgium-Luxembourg | 88,000 t | 1999 | down 11.6% | falling |
| 3 | Germany | 77,188 t | 2016 | down 60.3% | falling |
| 4 | Jordan | 55,188 t | 2016 | up 103.7% | volatile |
| 5 | China | 55,112 t | 2016 | down 19.8% | volatile |
| 6 | China, Taiwan Province of | 38,673 t | 2016 | down 9.4% | volatile |
| 7 | France | 38,190 t | 2016 | down 41.2% | falling |
| 8 | Indonesia | 35,316 t | 2016 | up 229.4% | volatile |
| 9 | Yugoslav SFR | 26,100 t | 1991 | down 66.2% | volatile |
| 10 | Austria | 17,314 t | 2016 | down 80.8% | falling |
| 11 | Italy | 17,165 t | 2016 | down 89.3% | falling |
| 12 | China, mainland | 16,431 t | 2016 | down 36.8% | volatile |
| 13 | Czechoslovakia | 14,800 t | 1992 | down 54.5% | rising |
| 14 | Poland | 12,779 t | 2016 | up 177.8% | volatile |
| 15 | Tunisia | 12,497 t | 2016 | down 15.9% | volatile |
| 16 | Norway | 11,510 t | 2016 | up 24.1% | volatile |
| 17 | Canada | 9,875 t | 2016 | down 38.3% | volatile |
| 18 | Slovenia | 9,777 t | 2016 | down 62.9% | falling |
| 19 | Slovakia | 9,028 t | 2016 | up 802.8% | volatile |
| 20 | Belgium | 8,297 t | 2016 | down 16.7% | volatile |
| 21 | Japan | 4,917 t | 2016 | down 45.4% | volatile |
| 22 | Netherlands (Kingdom of the) | 4,900 t | 2016 | down 77.0% | volatile |
| 23 | Algeria | 4,174 t | 2016 | up 146.3% | volatile |
| 24 | Pakistan | 4,075 t | 2016 | β | volatile |
| 25 | Denmark | 3,824 t | 2016 | down 3.6% | volatile |
| 26 | Ukraine | 3,810 t | 2016 | down 82.6% | volatile |
| 27 | United Kingdom of Great Britain and Northern Ireland | 3,171 t | 2016 | down 91.5% | volatile |
| 28 | Serbia and Montenegro | 3,000 t | 2005 | β | volatile |
| 28 | TΓΌrkiye | 3,000 t | 2016 | down 64.6% | volatile |
| 30 | Sweden | 2,988 t | 2016 | down 80.1% | volatile |
| 31 | Finland | 2,213 t | 2016 | up 948.8% | volatile |
| 32 | Australia and New Zealand | 2,023 t | 2016 | down 88.8% | volatile |
| 33 | Philippines | 1,937 t | 2016 | down 32.4% | volatile |
| 34 | Czechia | 1,912 t | 2016 | down 85.3% | volatile |
| 35 | Estonia | 1,864 t | 2016 | up 37,180.0% | volatile |
| 36 | Australia | 1,744 t | 2016 | down 89.1% | volatile |
| 37 | Russian Federation | 1,609 t | 2016 | up 60.9% | volatile |
| 38 | United Arab Emirates | 1,489 t | 2016 | up 266.7% | volatile |
| 39 | Thailand | 1,461 t | 2016 | down 50.8% | volatile |
| 40 | Brazil | 1,340 t | 2016 | down 33.0% | volatile |
| 41 | Israel | 1,251 t | 2016 | down 90.2% | volatile |
| 42 | Viet Nam | 1,025 t | 2016 | down 46.8% | volatile |
| 43 | Caribbean | 1,012 t | 2016 | up 143.9% | volatile |
| 44 | Argentina | 1,000 t | 2016 | β | volatile |
| 44 | Republic of Korea | 1,000 t | 2016 | down 50.0% | volatile |
| 46 | Spain | 981 t | 2016 | down 98.4% | falling |
| 47 | Hungary | 906 t | 2016 | down 87.1% | volatile |
| 48 | Cuba | 744 t | 2016 | β | volatile |
| 49 | Saudi Arabia | 623 t | 2016 | down 87.1% | volatile |
| 50 | Ethiopia | 504 t | 2016 | down 10.0% | volatile |
| 51 | Portugal | 503 t | 2016 | down 17.1% | volatile |
| 52 | Switzerland | 416 t | 2016 | down 96.6% | volatile |
| 53 | Romania | 405 t | 2016 | down 59.5% | volatile |
| 54 | Morocco | 317 t | 2016 | down 24.0% | volatile |
| 54 | Nigeria | 317 t | 2016 | down 20.8% | volatile |
| 56 | Ghana | 298 t | 2016 | up 1,003.7% | volatile |
| 57 | Bulgaria | 295 t | 2016 | down 97.3% | volatile |
| 58 | New Zealand | 279 t | 2016 | down 86.0% | volatile |
| 59 | Iran (Islamic Republic of) | 275 t | 2016 | down 94.7% | volatile |
| 60 | Malaysia | 247 t | 2016 | down 82.9% | volatile |
| 61 | India | 218 t | 2016 | down 68.6% | volatile |
| 62 | Singapore | 204 t | 2016 | β | volatile |
| 63 | Peru | 200 t | 2016 | up 100.0% | volatile |
| 64 | Uzbekistan | 148 t | 2016 | up 14,700.0% | volatile |
| 65 | Greece | 147 t | 2016 | down 72.8% | volatile |
| 66 | Egypt | 119 t | 2016 | β | volatile |
| 67 | Ecuador | 106 t | 2016 | up 152.4% | volatile |
| 68 | Colombia | 100 t | 2016 | down 94.9% | volatile |
| 68 | Trinidad and Tobago | 100 t | 2016 | unchanged | volatile |
| 68 | Martinique | 100 t | 2016 | unchanged | flat |
| 71 | Croatia | 87 t | 2016 | β | volatile |
| 72 | Panama | 75 t | 2016 | β | volatile |
| 72 | Democratic People's Republic of Korea | 75 t | 2016 | β | volatile |
| 74 | Mexico | 72 t | 2016 | down 92.8% | volatile |
| 75 | Ireland | 65 t | 2016 | down 97.2% | volatile |
| 76 | Lebanon | 63 t | 2016 | down 98.6% | volatile |
| 77 | Cameroon | 46 t | 2016 | β | volatile |
| 77 | Senegal | 46 t | 2016 | up 27.8% | volatile |
| 79 | Iceland | 43 t | 2016 | β | volatile |
| 80 | Belarus | 41 t | 2016 | down 99.8% | volatile |
| 80 | Guatemala | 41 t | 2016 | down 31.7% | volatile |
| 82 | Dominican Republic | 40 t | 2016 | down 73.7% | volatile |
| 83 | Qatar | 37 t | 2016 | down 43.9% | volatile |
| 83 | Sudan (former) | 37 t | 2010 | up 1,750.0% | volatile |
| 85 | Venezuela (Bolivarian Republic of) | 36 t | 2016 | down 89.2% | volatile |
| 86 | North Macedonia | 33 t | 2016 | down 93.7% | volatile |
| 87 | Lithuania | 32 t | 2016 | down 97.9% | volatile |
| 88 | Azerbaijan | 30 t | 2016 | up 20.0% | volatile |
| 89 | Afghanistan | 24 t | 2016 | down 73.0% | volatile |
| 90 | Guadeloupe | 17 t | 2016 | unchanged | flat |
| 91 | Netherlands Antilles (former) | 14 t | 2010 | up 250.0% | volatile |
| 92 | Bosnia and Herzegovina | 13 t | 2016 | down 99.8% | volatile |
| 92 | Kuwait | 13 t | 2016 | down 94.3% | volatile |
| 94 | Haiti | 11 t | 2016 | unchanged | flat |
| 95 | Montenegro | 10 t | 2016 | unchanged | flat |
| 96 | Bangladesh | 9 t | 2016 | down 98.0% | volatile |
| 97 | China, Hong Kong SAR | 8 t | 2016 | up 700.0% | volatile |
| 97 | Republic of Moldova | 8 t | 2016 | β | volatile |
| 99 | Georgia | 7 t | 2016 | up 40.0% | volatile |
| 99 | Kazakhstan | 7 t | 2016 | up 40.0% | volatile |
| 99 | El Salvador | 7 t | 2016 | down 50.0% | volatile |
| 102 | Burkina Faso | 6 t | 2016 | down 88.0% | volatile |
| 102 | Sri Lanka | 6 t | 2016 | down 98.8% | volatile |
| 102 | Luxembourg | 6 t | 2016 | down 25.0% | volatile |
| 102 | Mali | 6 t | 2016 | up 500.0% | volatile |
| 106 | Chile | 5 t | 2016 | β | volatile |
| 106 | Latvia | 5 t | 2016 | down 91.1% | volatile |
| 106 | Uruguay | 5 t | 2016 | β | volatile |
| 109 | Costa Rica | 4 t | 2016 | down 100.0% | volatile |
| 110 | Kenya | 3 t | 2016 | down 89.3% | volatile |
| 111 | Bahrain | 2 t | 2016 | down 93.1% | volatile |
| 111 | Syrian Arab Republic | 2 t | 2016 | down 99.9% | volatile |
| 113 | Benin | 1 t | 2016 | down 75.0% | volatile |
| 113 | CΓ΄te d'Ivoire | 1 t | 2016 | down 99.7% | volatile |
| 115 | Angola | 0 t | 2016 | down 100.0% | volatile |
| 115 | Albania | 0 t | 2016 | down 100.0% | volatile |
| 115 | Armenia | 0 t | 2016 | down 100.0% | volatile |
| 115 | Barbados | 0 t | 2016 | β | volatile |
| 115 | Bhutan | 0 t | 2016 | down 100.0% | volatile |
| 115 | Congo | 0 t | 2016 | down 100.0% | volatile |
| 115 | Cyprus | 0 t | 2016 | down 100.0% | volatile |
| 115 | Dominica | 0 t | 2016 | down 100.0% | falling |
| 115 | Fiji | 0 t | 2016 | down 100.0% | volatile |
| 115 | Faroe Islands | 0 t | 2016 | down 100.0% | falling |
| 115 | Gabon | 0 t | 2016 | down 100.0% | volatile |
| 115 | Gambia | 0 t | 2016 | down 100.0% | volatile |
| 115 | Guyana | 0 t | 2016 | β | flat |
| 115 | Honduras | 0 t | 2016 | down 100.0% | volatile |
| 115 | Iraq | 0 t | 2016 | β | volatile |
| 115 | Jamaica | 0 t | 2016 | β | volatile |
| 115 | Kyrgyzstan | 0 t | 2016 | β | volatile |
| 115 | Cambodia | 0 t | 2016 | down 100.0% | volatile |
| 115 | Libya | 0 t | 2016 | down 100.0% | volatile |
| 115 | Madagascar | 0 t | 2016 | down 100.0% | volatile |
| 115 | Malta | 0 t | 2016 | down 100.0% | volatile |
| 115 | Myanmar | 0 t | 2016 | down 100.0% | volatile |
| 115 | Mozambique | 0 t | 2016 | down 100.0% | volatile |
| 115 | Mauritania | 0 t | 2016 | down 100.0% | volatile |
| 115 | Mauritius | 0 t | 2016 | β | volatile |
| 115 | Malawi | 0 t | 2016 | down 100.0% | volatile |
| 115 | Namibia | 0 t | 2016 | β | volatile |
| 115 | New Caledonia | 0 t | 2016 | down 100.0% | volatile |
| 115 | Nicaragua | 0 t | 2016 | down 100.0% | volatile |
| 115 | Nepal | 0 t | 2016 | down 100.0% | volatile |
| 115 | Oman | 0 t | 2016 | down 100.0% | volatile |
| 115 | Papua New Guinea | 0 t | 2016 | down 100.0% | volatile |
| 115 | Paraguay | 0 t | 2016 | down 100.0% | volatile |
| 115 | French Polynesia | 0 t | 2016 | down 100.0% | volatile |
| 115 | Sierra Leone | 0 t | 2016 | down 100.0% | volatile |
| 115 | Serbia | 0 t | 2016 | down 100.0% | volatile |
| 115 | Sao Tome and Principe | 0 t | 2016 | down 100.0% | falling |
| 115 | Chad | 0 t | 2016 | down 100.0% | volatile |
| 115 | Togo | 0 t | 2016 | down 100.0% | volatile |
| 115 | Tajikistan | 0 t | 2016 | β | flat |
| 115 | Turkmenistan | 0 t | 2016 | β | flat |
| 115 | Uganda | 0 t | 2016 | down 100.0% | volatile |
| 115 | Samoa | 0 t | 2016 | down 100.0% | volatile |
| 115 | Yemen | 0 t | 2016 | down 100.0% | volatile |
| 115 | Zambia | 0 t | 2016 | down 100.0% | volatile |
| 115 | Zimbabwe | 0 t | 2016 | down 100.0% | volatile |
| 115 | French Guiana | 0 t | 2016 | β | flat |
| 115 | Timor-Leste | 0 t | 2016 | down 100.0% | volatile |
| 115 | Cabo Verde | 0 t | 2016 | down 100.0% | volatile |
| 115 | Melanesia | 0 t | 2016 | down 100.0% | volatile |
| 115 | Polynesia | 0 t | 2016 | down 100.0% | volatile |
| 115 | Democratic Republic of the Congo | 0 t | 2016 | β | volatile |
| 115 | Bolivia (Plurinational State of) | 0 t | 2016 | β | volatile |
| 115 | Lao People's Democratic Republic | 0 t | 2016 | down 100.0% | volatile |
| 115 | United Republic of Tanzania | 0 t | 2016 | down 100.0% | volatile |
| 115 | Brunei Darussalam | 0 t | 2016 | β | volatile |
| 115 | China, Macao SAR | 0 t | 2016 | β | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 710,621 t
- Americas 239,746 t
- Northern America 235,743 t
- Europe 231,535 t
- United States of America 225,868 t
- Asia 167,761 t
- Western Europe 146,311 t
- Net Food Importing Developing Countries (NFIDCs) 73,940 t
- Africa 69,556 t
- Western Asia 61,705 t
- Eastern Asia 61,104 t
- South Africa 51,221 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