Wood fuel, all species (export/import, 1961-2016) β 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
Wood fuel, all species (export/import, 1961-2016) β Export value is currently reported for 157 countries. The highest value is 54,474 1000 USD in Ukraine; the lowest is 0 1000 USD in China, Macao SAR.
The median across all reporting countries is 28 1000 USD, and the mean is 3,020 1000 USD.
Over the past decade 65 countries rose and 34 fell. The largest increase was in Eswatini (up 1,289,600.0%), and the largest decrease in Costa Rica (down 100.0%).
Wood fuel, all species (export/import, 1961-2016) β Export value: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Ukraine | 54,474 1000 USD | 2016 | up 204.0% | volatile |
| 2 | Croatia | 51,186 1000 USD | 2016 | up 244.9% | volatile |
| 3 | Bosnia and Herzegovina | 48,893 1000 USD | 2016 | up 372.9% | volatile |
| 4 | Latvia | 27,036 1000 USD | 2016 | up 49.7% | volatile |
| 5 | Slovenia | 26,130 1000 USD | 2016 | up 116.5% | volatile |
| 6 | Eswatini | 25,794 1000 USD | 2016 | up 1,289,600.0% | volatile |
| 7 | France | 22,852 1000 USD | 2016 | up 21.4% | volatile |
| 8 | Estonia | 22,546 1000 USD | 2016 | up 249.7% | volatile |
| 9 | Bulgaria | 21,263 1000 USD | 2016 | up 235.6% | volatile |
| 10 | Lithuania | 18,382 1000 USD | 2016 | up 176.8% | volatile |
| 11 | Hungary | 13,661 1000 USD | 2016 | up 8.8% | volatile |
| 12 | Slovakia | 12,478 1000 USD | 2016 | up 733.0% | volatile |
| 13 | Poland | 12,141 1000 USD | 2016 | up 39.2% | volatile |
| 14 | Yugoslav SFR | 10,118 1000 USD | 1991 | up 114.0% | volatile |
| 15 | Spain | 9,832 1000 USD | 2016 | up 4.5% | volatile |
| 16 | Australia | 7,842 1000 USD | 2016 | up 39,110.0% | volatile |
| 16 | Australia and New Zealand | 7,842 1000 USD | 2016 | up 39,110.0% | volatile |
| 18 | United Kingdom of Great Britain and Northern Ireland | 6,923 1000 USD | 2016 | up 59.3% | volatile |
| 19 | Czechia | 6,856 1000 USD | 2016 | down 60.6% | rising |
| 20 | Belgium | 5,779 1000 USD | 2016 | up 409.2% | volatile |
| 21 | Germany | 5,552 1000 USD | 2016 | up 94.9% | volatile |
| 22 | Belarus | 4,649 1000 USD | 2016 | up 305.7% | volatile |
| 23 | Finland | 3,839 1000 USD | 2016 | up 254.8% | volatile |
| 24 | Canada | 3,684 1000 USD | 2016 | down 53.1% | volatile |
| 25 | Romania | 3,580 1000 USD | 2016 | down 11.4% | volatile |
| 26 | Albania | 3,575 1000 USD | 2016 | up 239.2% | volatile |
| 27 | Russian Federation | 3,418 1000 USD | 2016 | down 35.1% | volatile |
| 28 | Denmark | 2,791 1000 USD | 2016 | up 157.7% | volatile |
| 29 | Honduras | 2,552 1000 USD | 2016 | up 2,902.3% | volatile |
| 30 | Sweden | 2,490 1000 USD | 2016 | down 23.5% | volatile |
| 31 | Serbia | 2,441 1000 USD | 2016 | up 4,985.4% | volatile |
| 32 | Netherlands (Kingdom of the) | 2,438 1000 USD | 2016 | up 158.8% | volatile |
| 33 | Portugal | 2,399 1000 USD | 2016 | up 90.2% | volatile |
| 34 | Namibia | 1,781 1000 USD | 2016 | up 195.8% | volatile |
| 35 | Montenegro | 1,332 1000 USD | 2016 | up 100.3% | volatile |
| 36 | Belgium-Luxembourg | 1,314 1000 USD | 1999 | up 206.3% | volatile |
| 37 | Austria | 1,289 1000 USD | 2016 | down 69.1% | volatile |
| 38 | Italy | 1,258 1000 USD | 2016 | up 426.4% | volatile |
| 39 | Greece | 1,251 1000 USD | 2016 | up 77.7% | volatile |
| 40 | Norway | 1,074 1000 USD | 2016 | up 429.1% | volatile |
| 41 | Mexico | 1,058 1000 USD | 2016 | up 252.7% | volatile |
| 42 | Malaysia | 893 1000 USD | 2016 | up 6,278.6% | volatile |
| 43 | Ethiopia | 634 1000 USD | 2016 | up 31,600.0% | volatile |
| 44 | Singapore | 622 1000 USD | 2016 | up 3,787.5% | volatile |
| 45 | Indonesia | 570 1000 USD | 2016 | up 61.0% | volatile |
| 46 | Switzerland | 406 1000 USD | 2016 | down 75.8% | volatile |
| 47 | Egypt | 388 1000 USD | 2016 | β | volatile |
| 48 | Mali | 375 1000 USD | 2016 | up 772.1% | volatile |
| 49 | Luxembourg | 373 1000 USD | 2016 | down 68.9% | volatile |
| 50 | Georgia | 321 1000 USD | 2016 | β | volatile |
| 51 | China | 290 1000 USD | 2016 | down 31.4% | volatile |
| 52 | Guyana | 283 1000 USD | 2016 | up 14,050.0% | volatile |
| 53 | China, mainland | 258 1000 USD | 2016 | down 29.5% | volatile |
| 54 | Ireland | 237 1000 USD | 2016 | down 39.8% | volatile |
| 55 | Burundi | 228 1000 USD | 2016 | up 132.7% | volatile |
| 56 | United Arab Emirates | 211 1000 USD | 2016 | β | volatile |
| 57 | Lao People's Democratic Republic | 197 1000 USD | 2016 | β | volatile |
| 58 | Somalia | 184 1000 USD | 2016 | up 9,100.0% | volatile |
| 59 | Viet Nam | 167 1000 USD | 2016 | β | volatile |
| 60 | Nigeria | 142 1000 USD | 2016 | up 407.1% | volatile |
| 61 | Sudan | 136 1000 USD | 2016 | β | volatile |
| 62 | Sri Lanka | 106 1000 USD | 2016 | up 2,550.0% | volatile |
| 63 | Caribbean | 90 1000 USD | 2016 | up 104.5% | volatile |
| 64 | Ghana | 89 1000 USD | 2016 | up 128.2% | volatile |
| 64 | Pakistan | 89 1000 USD | 2016 | up 709.1% | volatile |
| 66 | Zambia | 73 1000 USD | 2016 | up 265.0% | volatile |
| 67 | Czechoslovakia | 65 1000 USD | 1981 | down 40.9% | volatile |
| 68 | Japan | 50 1000 USD | 2016 | β | volatile |
| 68 | Morocco | 50 1000 USD | 2016 | up 4,900.0% | volatile |
| 68 | Paraguay | 50 1000 USD | 2016 | β | volatile |
| 71 | Iran (Islamic Republic of) | 49 1000 USD | 2016 | up 113.0% | volatile |
| 72 | Myanmar | 47 1000 USD | 2016 | up 683.3% | volatile |
| 73 | India | 41 1000 USD | 2016 | β | volatile |
| 74 | Gabon | 39 1000 USD | 2016 | unchanged | flat |
| 75 | Kuwait | 33 1000 USD | 2016 | β | volatile |
| 76 | Melanesia | 32 1000 USD | 2016 | up 100.0% | volatile |
| 77 | Nicaragua | 30 1000 USD | 2016 | up 900.0% | volatile |
| 78 | Gambia | 29 1000 USD | 2016 | down 71.0% | volatile |
| 79 | Serbia and Montenegro | 28 1000 USD | 2005 | down 98.2% | volatile |
| 80 | Saudi Arabia | 25 1000 USD | 2016 | β | volatile |
| 81 | Malawi | 24 1000 USD | 2016 | up 1,100.0% | volatile |
| 82 | Timor-Leste | 20 1000 USD | 2016 | β | flat |
| 82 | China, Hong Kong SAR | 20 1000 USD | 2016 | β | volatile |
| 84 | Democratic Republic of the Congo | 18 1000 USD | 2016 | up 350.0% | volatile |
| 85 | Fiji | 17 1000 USD | 2016 | up 1,600.0% | volatile |
| 85 | Oman | 17 1000 USD | 2016 | down 63.8% | volatile |
| 87 | Brazil | 16 1000 USD | 2016 | β | volatile |
| 87 | Qatar | 16 1000 USD | 2016 | up 1,500.0% | volatile |
| 89 | Jamaica | 15 1000 USD | 2016 | up 150.0% | volatile |
| 89 | Suriname | 15 1000 USD | 2016 | up 275.0% | volatile |
| 89 | Togo | 15 1000 USD | 2016 | down 53.1% | falling |
| 89 | Vanuatu | 15 1000 USD | 2016 | unchanged | flat |
| 93 | Peru | 14 1000 USD | 2016 | β | volatile |
| 93 | CΓ΄te d'Ivoire | 14 1000 USD | 2016 | down 57.6% | falling |
| 95 | Guatemala | 13 1000 USD | 2016 | down 58.1% | volatile |
| 96 | Barbados | 12 1000 USD | 2016 | unchanged | flat |
| 96 | Jordan | 12 1000 USD | 2016 | down 66.7% | volatile |
| 96 | Kenya | 12 1000 USD | 2016 | up 140.0% | volatile |
| 96 | Lebanon | 12 1000 USD | 2016 | β | volatile |
| 96 | Mauritius | 12 1000 USD | 2016 | β | volatile |
| 96 | China, Taiwan Province of | 12 1000 USD | 2016 | down 78.9% | volatile |
| 102 | Afghanistan | 11 1000 USD | 2016 | up 37.5% | volatile |
| 102 | Bhutan | 11 1000 USD | 2016 | β | rising |
| 102 | Colombia | 11 1000 USD | 2016 | β | volatile |
| 105 | Argentina | 10 1000 USD | 2016 | β | volatile |
| 105 | Senegal | 10 1000 USD | 2016 | up 100.0% | volatile |
| 105 | Zimbabwe | 10 1000 USD | 2016 | β | volatile |
| 105 | Syrian Arab Republic | 10 1000 USD | 2016 | down 98.2% | volatile |
| 109 | Sierra Leone | 9 1000 USD | 2016 | up 350.0% | volatile |
| 109 | Sudan (former) | 9 1000 USD | 2010 | up 80.0% | volatile |
| 111 | Cambodia | 8 1000 USD | 2016 | β | volatile |
| 111 | Bolivia (Plurinational State of) | 8 1000 USD | 2016 | β | volatile |
| 113 | Thailand | 7 1000 USD | 2016 | β | volatile |
| 114 | Philippines | 6 1000 USD | 2016 | β | volatile |
| 115 | Cameroon | 4 1000 USD | 2016 | down 75.0% | falling |
| 116 | Bangladesh | 3 1000 USD | 2016 | down 81.2% | volatile |
| 116 | Bahamas | 3 1000 USD | 2016 | β | volatile |
| 116 | Mongolia | 3 1000 USD | 2016 | β | volatile |
| 119 | Burkina Faso | 2 1000 USD | 2016 | β | volatile |
| 119 | Bahrain | 2 1000 USD | 2016 | down 99.1% | volatile |
| 119 | Mozambique | 2 1000 USD | 2016 | down 95.5% | volatile |
| 119 | Uganda | 2 1000 USD | 2016 | β | volatile |
| 119 | United Republic of Tanzania | 2 1000 USD | 2016 | down 98.3% | volatile |
| 119 | Democratic People's Republic of Korea | 2 1000 USD | 2016 | β | volatile |
| 125 | Andorra | 1 1000 USD | 2016 | unchanged | volatile |
| 125 | Benin | 1 1000 USD | 2016 | β | volatile |
| 125 | Chile | 1 1000 USD | 2016 | β | volatile |
| 125 | Dominica | 1 1000 USD | 2016 | unchanged | flat |
| 125 | Guinea | 1 1000 USD | 2016 | β | volatile |
| 125 | Iceland | 1 1000 USD | 2016 | β | volatile |
| 125 | Madagascar | 1 1000 USD | 2016 | down 93.8% | volatile |
| 125 | Rwanda | 1 1000 USD | 2016 | unchanged | flat |
| 133 | Armenia | 0 1000 USD | 2016 | β | flat |
| 133 | Azerbaijan | 0 1000 USD | 2016 | β | flat |
| 133 | Belize | 0 1000 USD | 2016 | β | flat |
| 133 | Costa Rica | 0 1000 USD | 2016 | down 100.0% | volatile |
| 133 | Cyprus | 0 1000 USD | 2016 | β | flat |
| 133 | Dominican Republic | 0 1000 USD | 2016 | down 100.0% | volatile |
| 133 | Guinea-Bissau | 0 1000 USD | 2016 | β | flat |
| 133 | Israel | 0 1000 USD | 2016 | β | flat |
| 133 | Kazakhstan | 0 1000 USD | 2016 | β | volatile |
| 133 | Kyrgyzstan | 0 1000 USD | 2016 | β | volatile |
| 133 | Lesotho | 0 1000 USD | 2016 | down 100.0% | volatile |
| 133 | North Macedonia | 0 1000 USD | 2016 | down 100.0% | volatile |
| 133 | Malta | 0 1000 USD | 2016 | β | volatile |
| 133 | New Zealand | 0 1000 USD | 2016 | β | volatile |
| 133 | Solomon Islands | 0 1000 USD | 2016 | β | volatile |
| 133 | Turks and Caicos Islands | 0 1000 USD | 2016 | down 100.0% | volatile |
| 133 | Turkmenistan | 0 1000 USD | 2016 | β | flat |
| 133 | Uruguay | 0 1000 USD | 2016 | β | volatile |
| 133 | Uzbekistan | 0 1000 USD | 2016 | down 100.0% | volatile |
| 133 | Yemen | 0 1000 USD | 2016 | down 100.0% | volatile |
| 133 | Republic of Korea | 0 1000 USD | 2016 | β | volatile |
| 133 | Republic of Moldova | 0 1000 USD | 2016 | β | flat |
| 133 | TΓΌrkiye | 0 1000 USD | 2016 | β | volatile |
| 133 | Brunei Darussalam | 0 1000 USD | 2016 | β | flat |
| 133 | China, Macao SAR | 0 1000 USD | 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 482,168 1000 USD
- Europe 404,826 1000 USD
- Southern Europe 148,298 1000 USD
- Eastern Europe 132,520 1000 USD
- Northern Europe 85,319 1000 USD
- Western Europe 38,689 1000 USD
- Africa 37,771 1000 USD
- Southern Africa 35,005 1000 USD
- Net Food Importing Developing Countries (NFIDCs) 33,254 1000 USD
- Land Locked Developing Countries (LLDCs) 27,431 1000 USD
- Americas 27,294 1000 USD
- Northern America 23,134 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