Statizoid

Mechanical wood pulp (1961-2016) — 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...

Countries reporting
154
Highest
53,767 1000 USD
Germany
Lowest
0 1000 USD
United Republic of Tanzania
Median
39 1000 USD
Years covered
56
1961–2016
Data points
5,909

What the numbers show

Mechanical wood pulp (1961-2016) — Import value is currently reported for 154 countries. The highest value is 53,767 1000 USD in Germany; the lowest is 0 1000 USD in United Republic of Tanzania.

The median across all reporting countries is 39 1000 USD, and the mean is 1,518 1000 USD.

Over the past decade 27 countries rose and 78 fell. The largest increase was in Nepal (up 18,900.0%), and the largest decrease in Angola (down 100.0%).

Mechanical wood pulp (1961-2016) — Import value: full country ranking

#Country LatestYear 10-year changeTrend
1 Germany 53,767 1000 USD 2016 up 10.1% volatile
2 Indonesia 47,667 1000 USD 2016 down 37.9% volatile
3 Japan 38,853 1000 USD 2016 down 55.3% volatile
4 France 11,043 1000 USD 2016 down 28.9% volatile
5 United States 10,657 1000 USD 2016 down 76.2% volatile
6 Italy 7,630 1000 USD 2016 down 86.5% volatile
7 Austria 6,054 1000 USD 2016 up 290.3% volatile
8 Yugoslav SFR 6,028 1000 USD 1991 up 164.9% volatile
9 Pakistan 5,055 1000 USD 2016 down 40.5% volatile
10 Sweden 3,813 1000 USD 2016 down 87.6% volatile
11 Netherlands (Kingdom of the) 3,623 1000 USD 2016 down 77.2% rising
12 Turkey 3,326 1000 USD 2016 down 25.8% volatile
12 Türkiye 3,326 1000 USD 2016 down 25.8% volatile
14 Egypt 2,537 1000 USD 2016 up 159.4% volatile
15 China 2,112 1000 USD 2016 down 94.3% volatile
16 Denmark 2,018 1000 USD 2016 down 62.8% volatile
17 China, mainland 1,924 1000 USD 2016 down 94.7% volatile
18 Australia and New Zealand 1,802 1000 USD 2016 down 47.8% volatile
19 Serbia 1,538 1000 USD 2016 up 1,647.7% volatile
20 Australia 1,504 1000 USD 2016 down 56.4% volatile
21 Canada 1,214 1000 USD 2016 up 3,181.1% volatile
22 Republic of Korea 1,087 1000 USD 2016 up 102.4% volatile
23 Slovenia 1,078 1000 USD 2016 down 73.3% volatile
24 Belgium 1,051 1000 USD 2016 down 53.8% volatile
25 Belgium-Luxembourg 976 1000 USD 1999 down 92.6% volatile
26 Saudi Arabia 969 1000 USD 2016 up 209.6% volatile
27 Portugal 936 1000 USD 2016 down 24.3% volatile
28 Russia 877 1000 USD 2016 up 222.4% volatile
28 Russian Federation 877 1000 USD 2016 up 222.4% volatile
30 India 741 1000 USD 2016 down 63.0% volatile
31 Poland 708 1000 USD 2016 down 62.6% volatile
32 Brazil 550 1000 USD 2016 down 59.9% volatile
33 United Arab Emirates 462 1000 USD 2016 — volatile
34 Ireland 404 1000 USD 2016 up 38.8% volatile
35 Vietnam 400 1000 USD 2016 down 66.7% volatile
35 Viet Nam 400 1000 USD 2016 down 66.7% volatile
37 Argentina 327 1000 USD 2016 up 63.5% volatile
38 Slovakia 318 1000 USD 2016 down 95.0% volatile
39 Finland 311 1000 USD 2016 down 88.7% volatile
40 Spain 307 1000 USD 2016 down 97.5% volatile
41 Switzerland 304 1000 USD 2016 down 91.9% volatile
42 New Zealand 298 1000 USD 2016 — volatile
43 United Kingdom 290 1000 USD 2016 down 99.2% volatile
43 United Kingdom of Great Britain and Northern Ireland 290 1000 USD 2016 down 99.2% volatile
45 Malaysia 263 1000 USD 2016 down 87.2% volatile
46 Peru 231 1000 USD 2016 — volatile
47 Hungary 226 1000 USD 2016 down 12.1% volatile
48 Philippines 223 1000 USD 2016 down 73.1% volatile
49 Colombia 218 1000 USD 2016 up 772.0% volatile
50 Tunisia 202 1000 USD 2016 down 38.0% volatile
51 Czechia 190 1000 USD 2016 down 91.2% volatile
51 Nepal 190 1000 USD 2016 up 18,900.0% volatile
53 Greece 188 1000 USD 2016 up 46.9% volatile
53 China, Taiwan Province of 188 1000 USD 2016 down 72.8% volatile
55 Thailand 157 1000 USD 2016 down 21.5% volatile
56 Iran (Islamic Republic of) 126 1000 USD 2016 up 270.6% volatile
57 Romania 114 1000 USD 2016 — volatile
58 Mongolia 112 1000 USD 2016 up 1,020.0% volatile
59 Belarus 110 1000 USD 2016 up 1,275.0% volatile
60 Ecuador 100 1000 USD 2016 — volatile
61 Singapore 92 1000 USD 2016 — volatile
62 Sierra Leone 88 1000 USD 2016 unchanged volatile
63 Algeria 79 1000 USD 2016 up 777.8% volatile
64 Israel 62 1000 USD 2016 down 76.7% volatile
65 Bangladesh 60 1000 USD 2016 down 40.0% volatile
65 Kazakhstan 60 1000 USD 2016 — volatile
67 Norway 53 1000 USD 2016 down 92.5% volatile
68 Chile 49 1000 USD 2016 down 87.8% volatile
69 Morocco 47 1000 USD 2016 down 75.4% volatile
69 Turkmenistan 47 1000 USD 2016 up 147.4% rising
71 Caribbean 46 1000 USD 2016 up 820.0% volatile
72 Brunei 43 1000 USD 2016 up 79.2% volatile
72 South Africa 43 1000 USD 2016 down 68.1% volatile
72 Brunei Darussalam 43 1000 USD 2016 up 79.2% volatile
75 Democratic People's Republic of Korea 42 1000 USD 2016 up 82.6% volatile
76 Albania 40 1000 USD 2016 up 263.6% rising
77 Guinea 39 1000 USD 2016 — volatile
77 Guatemala 39 1000 USD 2016 up 875.0% volatile
77 Ukraine 39 1000 USD 2016 — volatile
80 Cuba 36 1000 USD 2016 — volatile
81 Croatia 34 1000 USD 2016 — volatile
81 Syria 34 1000 USD 2016 down 56.4% volatile
81 Syrian Arab Republic 34 1000 USD 2016 down 56.4% volatile
84 Bosnia and Herzegovina 32 1000 USD 2016 — volatile
85 Senegal 27 1000 USD 2016 — falling
85 Uruguay 27 1000 USD 2016 — volatile
87 Costa Rica 19 1000 USD 2016 up 58.3% volatile
88 Cyprus 17 1000 USD 2016 — volatile
88 Panama 17 1000 USD 2016 — volatile
90 Central African Republic 16 1000 USD 2016 unchanged flat
91 Gabon 14 1000 USD 2016 unchanged volatile
91 Mozambique 14 1000 USD 2016 down 86.0% volatile
93 Bolivia (Plurinational State of) 13 1000 USD 2016 — volatile
94 Cambodia 9 1000 USD 2016 — volatile
95 North Macedonia 8 1000 USD 2016 — volatile
96 Sudan (former) 7 1000 USD 2011 — falling
96 Netherlands Antilles (former) 7 1000 USD 2010 down 36.4% volatile
98 Bulgaria 6 1000 USD 2016 down 80.6% volatile
99 Dominican Republic 5 1000 USD 2016 — volatile
99 Iraq 5 1000 USD 2016 — volatile
101 Mexico 4 1000 USD 2016 down 99.9% volatile
102 Armenia 2 1000 USD 2016 — volatile
102 Sri Lanka 2 1000 USD 2016 down 50.0% volatile
102 Uzbekistan 2 1000 USD 2016 — volatile
102 Democratic Republic of the Congo 2 1000 USD 2016 unchanged flat
106 Iceland 1 1000 USD 2016 — volatile
106 Lebanon 1 1000 USD 2016 down 80.0% volatile
106 Luxembourg 1 1000 USD 2016 — volatile
109 Afghanistan 0 1000 USD 2016 — volatile
109 Angola 0 1000 USD 2016 down 100.0% volatile
109 Azerbaijan 0 1000 USD 2016 — volatile
109 Burundi 0 1000 USD 2016 — volatile
109 Bahrain 0 1000 USD 2016 down 100.0% volatile
109 Cote d'Ivoire 0 1000 USD 2016 down 100.0% volatile
109 Estonia 0 1000 USD 2016 — volatile
109 Ethiopia 0 1000 USD 2016 down 100.0% volatile
109 Fiji 0 1000 USD 2016 down 100.0% volatile
109 Georgia 0 1000 USD 2016 — volatile
109 Equatorial Guinea 0 1000 USD 2016 down 100.0% volatile
109 Honduras 0 1000 USD 2016 — volatile
109 Jamaica 0 1000 USD 2016 down 100.0% volatile
109 Jordan 0 1000 USD 2016 — volatile
109 Kenya 0 1000 USD 2016 — volatile
109 Kyrgyzstan 0 1000 USD 2016 — volatile
109 Kuwait 0 1000 USD 2016 — volatile
109 Laos 0 1000 USD 2016 — volatile
109 Lithuania 0 1000 USD 2016 — volatile
109 Latvia 0 1000 USD 2016 down 100.0% volatile
109 Moldova 0 1000 USD 2016 — volatile
109 Madagascar 0 1000 USD 2016 down 100.0% volatile
109 Malta 0 1000 USD 2016 — volatile
109 Namibia 0 1000 USD 2016 — volatile
109 New Caledonia 0 1000 USD 2016 down 100.0% volatile
109 Nigeria 0 1000 USD 2016 down 100.0% volatile
109 Oman 0 1000 USD 2016 down 100.0% volatile
109 Papua New Guinea 0 1000 USD 2016 down 100.0% volatile
109 French Polynesia 0 1000 USD 2016 down 100.0% volatile
109 Qatar 0 1000 USD 2016 down 100.0% volatile
109 El Salvador 0 1000 USD 2016 down 100.0% volatile
109 Togo 0 1000 USD 2016 — volatile
109 Tonga 0 1000 USD 2016 down 100.0% volatile
109 Trinidad and Tobago 0 1000 USD 2016 down 100.0% volatile
109 Uganda 0 1000 USD 2016 down 100.0% falling
109 Yemen 0 1000 USD 2016 down 100.0% volatile
109 Zimbabwe 0 1000 USD 2016 down 100.0% volatile
109 Serbia and Montenegro 0 1000 USD 2005 down 100.0% volatile
109 Melanesia 0 1000 USD 2016 down 100.0% volatile
109 Polynesia 0 1000 USD 2016 down 100.0% volatile
109 China, Hong Kong SAR 0 1000 USD 2016 down 100.0% volatile
109 Republic of Moldova 0 1000 USD 2016 — volatile
109 Venezuela (Bolivarian Republic of) 0 1000 USD 2016 — volatile
109 Côte d'Ivoire 0 1000 USD 2016 down 100.0% volatile
109 Lao People's Democratic Republic 0 1000 USD 2016 — volatile
109 United Republic of Tanzania 0 1000 USD 2016 down 100.0% volatile

Regions and income groups

Aggregates are excluded from the country ranking above so that a region can never outrank a country.

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Mechanical wood pulp (1961-2016) — Import value by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 28 September 2026, from https://environment.statizoid.com/stat/mechanical-wood-pulp-1961-2016-import-value/

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About this data

Indicator
Mechanical wood pulp (1961-2016) — Import value
Unit
1000 USD
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
189 places, 5,909 data points, 1961–2016
Last refreshed

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