Semi-chemical wood pulp (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
Semi-chemical wood pulp (1961-2016) β Import quantity is currently reported for 144 countries. The highest value is 1.76 million t in China; the lowest is 0 t in China, Macao SAR.
The median across all reporting countries is 4.5 t, and the mean is 34,372 t.
Over the past decade 30 countries rose and 62 fell. The largest increase was in Zimbabwe (up 9,900.0%), and the largest decrease in Angola (down 100.0%).
Semi-chemical wood pulp (1961-2016) β Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 1.76 million t | 2016 | up 59.0% | volatile |
| 2 | China, mainland | 1.73 million t | 2016 | up 78.9% | volatile |
| 3 | Republic of Korea | 311,000 t | 2016 | up 59.5% | rising |
| 4 | India | 143,595 t | 2016 | up 20.7% | volatile |
| 5 | Sweden | 137,483 t | 2016 | up 101.1% | volatile |
| 6 | United Kingdom of Great Britain and Northern Ireland | 117,108 t | 2016 | up 1,528.1% | volatile |
| 7 | Italy | 107,862 t | 2016 | up 70.7% | volatile |
| 8 | Mexico | 74,947 t | 2016 | down 19.4% | rising |
| 9 | Poland | 69,613 t | 2016 | up 268.3% | volatile |
| 10 | Viet Nam | 62,422 t | 2016 | up 1,735.9% | volatile |
| 11 | France | 57,749 t | 2016 | down 49.6% | volatile |
| 12 | Indonesia | 55,555 t | 2016 | up 0.3% | volatile |
| 13 | Netherlands (Kingdom of the) | 50,600 t | 2016 | up 144.4% | volatile |
| 14 | Spain | 37,626 t | 2016 | down 19.9% | volatile |
| 15 | Austria | 31,836 t | 2016 | down 54.5% | volatile |
| 16 | China, Taiwan Province of | 29,916 t | 2016 | down 78.5% | volatile |
| 17 | Belgium-Luxembourg | 22,000 t | 1999 | up 2,344.4% | volatile |
| 18 | Germany | 18,304 t | 2016 | down 87.4% | volatile |
| 19 | Japan | 17,855 t | 2016 | down 49.0% | volatile |
| 20 | Pakistan | 15,112 t | 2016 | up 276.5% | volatile |
| 21 | Australia and New Zealand | 12,787 t | 2016 | down 8.7% | volatile |
| 22 | Hungary | 12,397 t | 2016 | β | volatile |
| 23 | Belgium | 8,468 t | 2016 | down 77.5% | volatile |
| 24 | Australia | 7,251 t | 2016 | down 34.1% | volatile |
| 25 | Finland | 6,036 t | 2016 | up 3,720.2% | volatile |
| 26 | New Zealand | 5,536 t | 2016 | up 84.5% | volatile |
| 27 | Brazil | 5,500 t | 2016 | up 2,650.0% | volatile |
| 28 | Slovenia | 4,788 t | 2016 | up 9.6% | volatile |
| 29 | Ukraine | 4,620 t | 2016 | β | volatile |
| 30 | TΓΌrkiye | 4,300 t | 2016 | up 330.0% | volatile |
| 31 | Slovakia | 3,679 t | 2016 | β | volatile |
| 32 | Malaysia | 2,871 t | 2016 | down 73.9% | volatile |
| 33 | Bosnia and Herzegovina | 2,230 t | 2016 | up 4,747.8% | volatile |
| 34 | Morocco | 1,803 t | 2016 | up 3,119.6% | volatile |
| 35 | Nigeria | 1,623 t | 2016 | β | volatile |
| 36 | Belarus | 1,500 t | 2016 | β | volatile |
| 37 | Greece | 1,446 t | 2016 | up 2,310.0% | volatile |
| 38 | Yugoslav SFR | 1,300 t | 1991 | up 1,200.0% | volatile |
| 39 | Singapore | 1,147 t | 2016 | β | volatile |
| 40 | Denmark | 1,105 t | 2016 | down 93.2% | volatile |
| 41 | Egypt | 969 t | 2016 | down 96.4% | volatile |
| 42 | Thailand | 899 t | 2016 | down 96.3% | volatile |
| 43 | Norway | 887 t | 2016 | up 1,429.3% | volatile |
| 44 | Libya | 857 t | 2016 | unchanged | rising |
| 45 | Sri Lanka | 790 t | 2016 | β | volatile |
| 46 | Bangladesh | 622 t | 2016 | down 42.8% | volatile |
| 47 | Saudi Arabia | 581 t | 2016 | down 74.4% | volatile |
| 48 | Ireland | 555 t | 2016 | up 2,675.0% | volatile |
| 49 | Lebanon | 538 t | 2016 | down 93.4% | volatile |
| 50 | El Salvador | 446 t | 2016 | down 45.2% | volatile |
| 51 | Canada | 333 t | 2016 | β | volatile |
| 52 | Djibouti | 300 t | 2016 | β | flat |
| 52 | Zimbabwe | 300 t | 2016 | up 9,900.0% | volatile |
| 54 | Switzerland | 279 t | 2016 | down 99.2% | volatile |
| 55 | Syrian Arab Republic | 192 t | 2016 | down 85.5% | volatile |
| 56 | Romania | 147 t | 2016 | up 126.2% | volatile |
| 56 | Senegal | 147 t | 2016 | β | flat |
| 58 | Malawi | 96 t | 2016 | up 9,500.0% | volatile |
| 59 | Iceland | 91 t | 2016 | β | volatile |
| 60 | Latvia | 54 t | 2016 | up 315.4% | volatile |
| 61 | Colombia | 46 t | 2016 | down 99.7% | volatile |
| 62 | Mali | 27 t | 2016 | β | volatile |
| 63 | Iran (Islamic Republic of) | 26 t | 2016 | down 94.5% | volatile |
| 64 | Philippines | 23 t | 2016 | down 96.7% | volatile |
| 65 | Bulgaria | 21 t | 2016 | up 950.0% | volatile |
| 66 | Sierra Leone | 18 t | 2016 | unchanged | falling |
| 67 | Panama | 17 t | 2016 | up 112.5% | rising |
| 68 | Argentina | 13 t | 2016 | down 99.8% | volatile |
| 69 | Czechia | 9 t | 2016 | β | volatile |
| 69 | Israel | 9 t | 2016 | down 99.5% | volatile |
| 71 | Cameroon | 6 t | 2016 | β | volatile |
| 72 | Jamaica | 5 t | 2011 | β | volatile |
| 73 | Chile | 4 t | 2016 | β | volatile |
| 73 | Lao People's Democratic Republic | 4 t | 2016 | down 99.9% | volatile |
| 75 | Guyana | 3 t | 2016 | β | volatile |
| 75 | Mozambique | 3 t | 2016 | down 62.5% | volatile |
| 75 | United Republic of Tanzania | 3 t | 2016 | down 40.0% | volatile |
| 78 | Nepal | 2 t | 2016 | down 99.0% | volatile |
| 79 | Afghanistan | 1 t | 2016 | unchanged | flat |
| 79 | Albania | 1 t | 2016 | unchanged | rising |
| 79 | Guatemala | 1 t | 2016 | down 99.8% | volatile |
| 79 | Russian Federation | 1 t | 2016 | down 100.0% | volatile |
| 83 | Angola | 0 t | 2016 | down 100.0% | volatile |
| 83 | United Arab Emirates | 0 t | 2016 | down 100.0% | volatile |
| 83 | Armenia | 0 t | 2016 | β | flat |
| 83 | Azerbaijan | 0 t | 2016 | β | flat |
| 83 | Bahrain | 0 t | 2016 | down 100.0% | volatile |
| 83 | Bahamas | 0 t | 2016 | down 100.0% | volatile |
| 83 | Barbados | 0 t | 2016 | β | volatile |
| 83 | Costa Rica | 0 t | 2016 | down 100.0% | volatile |
| 83 | Cyprus | 0 t | 2016 | β | volatile |
| 83 | Dominican Republic | 0 t | 2016 | β | volatile |
| 83 | Algeria | 0 t | 2016 | down 100.0% | volatile |
| 83 | Ecuador | 0 t | 2016 | down 100.0% | volatile |
| 83 | Estonia | 0 t | 2016 | β | volatile |
| 83 | Ethiopia | 0 t | 2016 | down 100.0% | volatile |
| 83 | Gabon | 0 t | 2016 | β | flat |
| 83 | Georgia | 0 t | 2016 | β | volatile |
| 83 | Ghana | 0 t | 2016 | down 100.0% | volatile |
| 83 | Guinea | 0 t | 2016 | β | flat |
| 83 | Croatia | 0 t | 2016 | β | volatile |
| 83 | Haiti | 0 t | 2016 | down 100.0% | volatile |
| 83 | Iraq | 0 t | 2016 | β | volatile |
| 83 | Jordan | 0 t | 2016 | down 100.0% | volatile |
| 83 | Kazakhstan | 0 t | 2016 | β | volatile |
| 83 | Kenya | 0 t | 2016 | down 100.0% | volatile |
| 83 | Kyrgyzstan | 0 t | 2016 | β | volatile |
| 83 | Kuwait | 0 t | 2016 | down 100.0% | volatile |
| 83 | Lithuania | 0 t | 2016 | down 100.0% | volatile |
| 83 | Luxembourg | 0 t | 2016 | β | flat |
| 83 | Madagascar | 0 t | 2016 | down 100.0% | volatile |
| 83 | North Macedonia | 0 t | 2016 | β | flat |
| 83 | Malta | 0 t | 2016 | β | volatile |
| 83 | Montenegro | 0 t | 2016 | β | volatile |
| 83 | Mauritius | 0 t | 2016 | down 100.0% | volatile |
| 83 | Namibia | 0 t | 2016 | β | volatile |
| 83 | Nicaragua | 0 t | 2016 | β | volatile |
| 83 | Oman | 0 t | 2016 | down 100.0% | volatile |
| 83 | Peru | 0 t | 2016 | β | volatile |
| 83 | Portugal | 0 t | 2016 | down 100.0% | volatile |
| 83 | Paraguay | 0 t | 2016 | β | volatile |
| 83 | French Polynesia | 0 t | 2016 | down 100.0% | volatile |
| 83 | Qatar | 0 t | 2016 | down 100.0% | volatile |
| 83 | Rwanda | 0 t | 2016 | down 100.0% | volatile |
| 83 | Serbia | 0 t | 2016 | β | volatile |
| 83 | Tajikistan | 0 t | 2016 | β | flat |
| 83 | Turkmenistan | 0 t | 2016 | β | flat |
| 83 | Trinidad and Tobago | 0 t | 2016 | down 100.0% | volatile |
| 83 | Tunisia | 0 t | 2016 | down 100.0% | volatile |
| 83 | Uganda | 0 t | 2016 | down 100.0% | volatile |
| 83 | Uruguay | 0 t | 2016 | down 100.0% | volatile |
| 83 | Uzbekistan | 0 t | 2016 | β | flat |
| 83 | Yemen | 0 t | 2016 | β | volatile |
| 83 | Zambia | 0 t | 2016 | down 100.0% | volatile |
| 83 | Serbia and Montenegro | 0 t | 2005 | down 100.0% | volatile |
| 83 | Polynesia | 0 t | 2016 | down 100.0% | volatile |
| 83 | Caribbean | 0 t | 2016 | down 100.0% | volatile |
| 83 | Bolivia (Plurinational State of) | 0 t | 2016 | β | volatile |
| 83 | China, Hong Kong SAR | 0 t | 2016 | β | volatile |
| 83 | Republic of Moldova | 0 t | 2016 | β | flat |
| 83 | Venezuela (Bolivarian Republic of) | 0 t | 2016 | down 100.0% | volatile |
| 83 | CΓ΄te d'Ivoire | 0 t | 2016 | down 100.0% | volatile |
| 83 | Democratic People's Republic of Korea | 0 t | 2016 | β | volatile |
| 83 | China, Macao SAR | 0 t | 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 3.24 million t
- Asia 2.38 million t
- Eastern Asia 2.09 million t
- Europe 676,495 t
- Northern Europe 263,319 t
- Western Europe 167,236 t
- Americas 163,642 t
- Southern Asia 160,148 t
- Southern Europe 153,953 t
- South-eastern Asia 122,949 t
- Eastern Europe 91,987 t
- Northern America 82,665 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