Semi-chemical wood pulp (1961-2016) — Export 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
Semi-chemical wood pulp (1961-2016) — Export value is currently reported for 90 countries. The highest value is 858,104 1000 USD in Canada; the lowest is 0 1000 USD in China, Macao SAR.
The median across all reporting countries is 0 1000 USD, and the mean is 16,596 1000 USD.
Over the past decade 10 countries rose and 30 fell. The largest increase was in Netherlands (Kingdom of the) (up 17,038.7%), and the largest decrease in United Arab Emirates (down 100.0%).
Semi-chemical wood pulp (1961-2016) — Export value: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Canada | 858,104 1000 USD | 2016 | down 8.0% | volatile |
| 2 | Sweden | 139,741 1000 USD | 2016 | up 40.5% | volatile |
| 3 | Finland | 104,847 1000 USD | 2016 | up 12.3% | volatile |
| 4 | Estonia | 76,398 1000 USD | 2016 | — | volatile |
| 5 | Australia and New Zealand | 75,718 1000 USD | 2016 | up 22.2% | volatile |
| 6 | New Zealand | 75,690 1000 USD | 2016 | up 22.1% | volatile |
| 7 | Russian Federation | 55,677 1000 USD | 2016 | — | volatile |
| 8 | Norway | 51,915 1000 USD | 2016 | up 310.1% | volatile |
| 9 | Netherlands (Kingdom of the) | 27,936 1000 USD | 2016 | up 17,038.7% | volatile |
| 10 | Italy | 13,661 1000 USD | 2016 | up 9,453.1% | volatile |
| 11 | Belgium-Luxembourg | 4,686 1000 USD | 1999 | up 1,037.4% | volatile |
| 12 | Belgium | 3,663 1000 USD | 2016 | down 81.1% | volatile |
| 13 | Mexico | 3,658 1000 USD | 2016 | — | volatile |
| 14 | Ireland | 769 1000 USD | 2016 | — | volatile |
| 15 | Thailand | 554 1000 USD | 2016 | down 66.0% | volatile |
| 16 | Iran (Islamic Republic of) | 330 1000 USD | 2016 | up 16,400.0% | volatile |
| 17 | Republic of Korea | 113 1000 USD | 2016 | — | volatile |
| 18 | Viet Nam | 44 1000 USD | 2016 | down 95.2% | volatile |
| 19 | Democratic Republic of the Congo | 40 1000 USD | 2016 | unchanged | flat |
| 20 | Lebanon | 30 1000 USD | 2016 | up 57.9% | volatile |
| 21 | Australia | 28 1000 USD | 2016 | — | volatile |
| 22 | United Kingdom of Great Britain and Northern Ireland | 20 1000 USD | 2016 | down 86.4% | volatile |
| 23 | Croatia | 9 1000 USD | 2016 | — | volatile |
| 24 | France | 8 1000 USD | 2016 | down 99.3% | volatile |
| 25 | China | 7 1000 USD | 2016 | down 83.7% | volatile |
| 26 | Slovakia | 4 1000 USD | 2016 | — | volatile |
| 26 | China, mainland | 4 1000 USD | 2016 | down 89.7% | volatile |
| 28 | Czechia | 3 1000 USD | 2016 | — | volatile |
| 28 | Hungary | 3 1000 USD | 2016 | — | volatile |
| 28 | China, Taiwan Province of | 3 1000 USD | 2016 | down 25.0% | volatile |
| 31 | Denmark | 1 1000 USD | 2016 | down 100.0% | volatile |
| 32 | United Arab Emirates | 0 1000 USD | 2016 | down 100.0% | volatile |
| 32 | Argentina | 0 1000 USD | 2016 | — | volatile |
| 32 | Armenia | 0 1000 USD | 2016 | — | flat |
| 32 | Austria | 0 1000 USD | 2016 | — | volatile |
| 32 | Azerbaijan | 0 1000 USD | 2016 | — | flat |
| 32 | Bulgaria | 0 1000 USD | 2016 | down 100.0% | volatile |
| 32 | Bosnia and Herzegovina | 0 1000 USD | 2016 | — | volatile |
| 32 | Belarus | 0 1000 USD | 2016 | down 100.0% | volatile |
| 32 | Brazil | 0 1000 USD | 2016 | — | volatile |
| 32 | Barbados | 0 1000 USD | 2016 | — | volatile |
| 32 | Switzerland | 0 1000 USD | 2016 | — | volatile |
| 32 | Chile | 0 1000 USD | 2016 | — | volatile |
| 32 | Cyprus | 0 1000 USD | 2016 | — | flat |
| 32 | Germany | 0 1000 USD | 2016 | down 100.0% | volatile |
| 32 | Egypt | 0 1000 USD | 2016 | down 100.0% | volatile |
| 32 | Spain | 0 1000 USD | 2016 | — | volatile |
| 32 | Georgia | 0 1000 USD | 2016 | — | flat |
| 32 | Greece | 0 1000 USD | 2016 | — | volatile |
| 32 | Honduras | 0 1000 USD | 2016 | down 100.0% | volatile |
| 32 | Indonesia | 0 1000 USD | 2016 | — | volatile |
| 32 | India | 0 1000 USD | 2016 | down 100.0% | volatile |
| 32 | Iceland | 0 1000 USD | 2016 | — | flat |
| 32 | Israel | 0 1000 USD | 2016 | — | volatile |
| 32 | Japan | 0 1000 USD | 2016 | — | volatile |
| 32 | Kazakhstan | 0 1000 USD | 2016 | — | flat |
| 32 | Kenya | 0 1000 USD | 2016 | down 100.0% | volatile |
| 32 | Kyrgyzstan | 0 1000 USD | 2016 | — | flat |
| 32 | Lithuania | 0 1000 USD | 2016 | down 100.0% | volatile |
| 32 | Luxembourg | 0 1000 USD | 2016 | — | flat |
| 32 | Latvia | 0 1000 USD | 2016 | — | flat |
| 32 | Morocco | 0 1000 USD | 2016 | down 100.0% | volatile |
| 32 | North Macedonia | 0 1000 USD | 2016 | — | flat |
| 32 | Malta | 0 1000 USD | 2016 | — | flat |
| 32 | Myanmar | 0 1000 USD | 2016 | down 100.0% | volatile |
| 32 | Montenegro | 0 1000 USD | 2016 | — | flat |
| 32 | Malaysia | 0 1000 USD | 2016 | down 100.0% | volatile |
| 32 | New Caledonia | 0 1000 USD | 2016 | — | flat |
| 32 | Nepal | 0 1000 USD | 2016 | down 100.0% | volatile |
| 32 | Oman | 0 1000 USD | 2016 | down 100.0% | volatile |
| 32 | Pakistan | 0 1000 USD | 2016 | down 100.0% | volatile |
| 32 | Poland | 0 1000 USD | 2016 | — | volatile |
| 32 | Portugal | 0 1000 USD | 2016 | — | volatile |
| 32 | Qatar | 0 1000 USD | 2016 | down 100.0% | volatile |
| 32 | Romania | 0 1000 USD | 2016 | — | flat |
| 32 | Singapore | 0 1000 USD | 2016 | — | volatile |
| 32 | Serbia | 0 1000 USD | 2016 | — | volatile |
| 32 | Slovenia | 0 1000 USD | 2016 | — | volatile |
| 32 | Turkmenistan | 0 1000 USD | 2016 | — | flat |
| 32 | Uganda | 0 1000 USD | 2016 | down 100.0% | volatile |
| 32 | Ukraine | 0 1000 USD | 2016 | — | volatile |
| 32 | Uzbekistan | 0 1000 USD | 2016 | down 100.0% | volatile |
| 32 | Serbia and Montenegro | 0 1000 USD | 2005 | down 100.0% | volatile |
| 32 | Melanesia | 0 1000 USD | 2016 | — | flat |
| 32 | Caribbean | 0 1000 USD | 2016 | — | volatile |
| 32 | China, Hong Kong SAR | 0 1000 USD | 2016 | — | flat |
| 32 | Republic of Moldova | 0 1000 USD | 2016 | — | flat |
| 32 | Türkiye | 0 1000 USD | 2016 | — | volatile |
| 32 | United Republic of Tanzania | 0 1000 USD | 2016 | down 100.0% | volatile |
| 32 | China, Macao SAR | 0 1000 USD | 2016 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 1.43 million 1000 USD
- Americas 874,464 1000 USD
- Northern America 869,911 1000 USD
- Europe 474,655 1000 USD
- Northern Europe 373,691 1000 USD
- Oceania 75,718 1000 USD
- Eastern Europe 55,687 1000 USD
- Western Europe 31,607 1000 USD
- Southern Europe 13,670 1000 USD
- United States of America 11,807 1000 USD
- Central America 4,552 1000 USD
- Asia 1,218 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