Statizoid

Hard Fibres, Other — Import Quantity by country

Food Balance Sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply...

Countries reporting
149
Highest
547,779 t
China, mainland
Lowest
0 t
Netherlands Antilles (former)
Median
96 t
Years covered
53
1961–2013
Data points
8,660

What the numbers show

Hard Fibres, Other — Import Quantity is currently reported for 149 countries. The highest value is 547,779 t in China, mainland; the lowest is 0 t in Netherlands Antilles (former).

The median across all reporting countries is 96 t, and the mean is 5,236 t.

Over the past decade 66 countries rose and 41 fell. The largest increase was in Mexico (up 219,357.0%), and the largest decrease in Argentina (down 100.0%).

Hard Fibres, Other — Import Quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 China, mainland 547,779 t 2013 up 452.8% volatile
2 Netherlands (Kingdom of the) 33,509 t 2013 up 316.3% volatile
3 United Kingdom of Great Britain and Northern Ireland 20,762 t 2013 up 287.1% volatile
4 Spain 18,922 t 2013 up 89.7% volatile
5 Mexico 15,362 t 2013 up 219,357.0% volatile
6 Germany 14,189 t 2013 up 58.6% falling
7 Russian Federation 12,163 t 2013 up 877.7% volatile
8 Canada 10,833 t 2013 up 320.4% volatile
9 Yugoslav SFR 7,600 t 1991 up 18.8% volatile
10 Slovenia 7,032 t 2013 up 87.4% rising
11 Australia and New Zealand 6,160 t 2013 up 313.4% volatile
12 Iran (Islamic Republic of) 5,717 t 2013 up 17,224.2% volatile
13 Belgium 5,012 t 2013 up 160.4% volatile
14 Poland 4,625 t 2013 up 136.6% volatile
15 Australia 4,286 t 2013 up 290.7% volatile
16 Saudi Arabia 4,104 t 2013 up 5,161.5% volatile
17 India 3,921 t 2013 up 1,706.9% volatile
18 Italy 3,832 t 2013 up 91.1% volatile
19 Portugal 3,498 t 2013 up 222.1% volatile
20 France 3,453 t 2013 up 53.1% volatile
21 Pakistan 3,381 t 2013 up 211.3% volatile
22 Ireland 3,232 t 2013 up 730.8% volatile
23 Algeria 2,334 t 2013 — volatile
24 Egypt 2,070 t 2013 up 17,150.0% volatile
25 Greece 2,047 t 2013 down 12.0% volatile
26 Indonesia 2,019 t 2013 up 3,006.2% volatile
27 Japan 1,897 t 2013 down 67.0% volatile
28 New Zealand 1,874 t 2013 up 376.8% falling
29 United Arab Emirates 1,777 t 2013 up 5,453.1% volatile
30 Malaysia 1,767 t 2013 down 43.1% volatile
31 Republic of Korea 1,743 t 2013 up 31.0% volatile
32 Belgium-Luxembourg 1,624 t 1999 up 16.5% falling
33 El Salvador 1,268 t 2013 — volatile
34 Switzerland 1,135 t 2013 up 138.9% volatile
35 Israel 1,064 t 2013 down 49.1% volatile
36 Ghana 1,039 t 2013 — volatile
37 Denmark 1,036 t 2013 up 816.8% volatile
38 Azerbaijan 901 t 2013 — volatile
39 China, Taiwan Province of 795 t 2013 down 90.9% volatile
40 Norway 764 t 2013 up 117.0% volatile
41 T�rkiye 752 t 2013 up 3,480.9% volatile
42 Caribbean 745 t 2013 up 37,150.0% volatile
43 Romania 701 t 2013 up 3,405.0% volatile
44 USSR 700 t 1991 down 66.9% volatile
45 Madagascar 524 t 2013 — volatile
46 Cuba 523 t 2013 — volatile
47 Kazakhstan 490 t 2013 — volatile
48 Nepal 482 t 2013 up 760.7% volatile
49 Ethiopia 442 t 2013 up 1,668.0% volatile
50 New Caledonia 435 t 2013 up 888.6% volatile
50 Melanesia 435 t 2013 up 888.6% volatile
52 United Republic of Tanzania 430 t 2013 up 6,042.9% volatile
53 Kuwait 423 t 2013 — volatile
54 Latvia 413 t 2013 up 1,114.7% volatile
55 Austria 386 t 2013 down 62.3% volatile
56 Guatemala 356 t 2013 — volatile
57 Czechia 352 t 2013 down 24.6% volatile
58 Cyprus 328 t 2013 up 65.7% volatile
59 Tunisia 282 t 2013 up 907.1% volatile
60 Oman 266 t 2013 down 56.2% volatile
61 Chile 237 t 2013 up 2,533.3% volatile
62 Costa Rica 233 t 2013 up 1,194.4% volatile
62 Sudan (former) 233 t 2011 up 7,666.7% volatile
64 C�te d'Ivoire 204 t 2013 up 1,100.0% volatile
65 Dominican Republic 186 t 2013 — volatile
66 Panama 178 t 2013 up 641.7% volatile
67 Sweden 167 t 2013 down 48.0% volatile
68 Venezuela (Bolivarian Republic of) 165 t 2013 up 560.0% volatile
69 Bulgaria 162 t 2013 up 62.0% volatile
69 Croatia 162 t 2013 up 710.0% volatile
71 Georgia 141 t 2013 — volatile
72 Morocco 129 t 2013 down 26.3% volatile
73 Gabon 98 t 2013 — volatile
74 Burkina Faso 96 t 2013 up 638.5% volatile
74 Hungary 96 t 2013 down 34.2% volatile
76 Brunei Darussalam 93 t 2013 up 675.0% volatile
77 Brazil 92 t 2013 up 87.8% volatile
78 China, Hong Kong SAR 85 t 2013 down 65.3% volatile
79 Uganda 83 t 2013 up 2,666.7% volatile
80 Slovakia 82 t 2013 down 57.3% volatile
81 Nigeria 76 t 2013 down 30.9% volatile
81 Philippines 76 t 2013 up 3,700.0% volatile
83 Lebanon 75 t 2013 up 56.2% volatile
84 Ukraine 73 t 2013 — volatile
85 Estonia 66 t 2013 up 6,500.0% volatile
85 Yemen 66 t 2013 — volatile
87 Peru 62 t 2013 down 12.7% volatile
88 Jordan 55 t 2013 — volatile
89 Lithuania 50 t 2013 up 138.1% volatile
89 Thailand 50 t 2013 up 1,566.7% volatile
91 Liberia 42 t 2013 — volatile
92 Ecuador 40 t 2013 down 37.5% volatile
93 Kenya 35 t 2013 down 99.1% volatile
94 Jamaica 33 t 2013 — volatile
95 Maldives 30 t 2013 up 20.0% volatile
96 Cameroon 29 t 2013 — volatile
97 Gambia 27 t 2013 — volatile
98 Uruguay 26 t 2013 up 2,500.0% volatile
99 Bangladesh 25 t 2013 up 2,400.0% volatile
99 Bosnia and Herzegovina 25 t 2013 up 1,150.0% volatile
99 Iraq 25 t 2013 — volatile
99 Malta 25 t 2013 down 28.6% volatile
103 Armenia 24 t 2013 — volatile
103 North Macedonia 24 t 2013 — volatile
103 Togo 24 t 2013 — volatile
106 Colombia 23 t 2013 up 2,200.0% volatile
107 Senegal 21 t 2013 up 200.0% volatile
108 Finland 20 t 2013 down 59.2% volatile
109 Belarus 19 t 2013 up 1,800.0% volatile
109 Suriname 19 t 2013 down 20.8% volatile
111 Bolivia (Plurinational State of) 18 t 2013 — volatile
112 Luxembourg 17 t 2013 down 59.5% volatile
113 Congo 14 t 2013 — volatile
113 Iceland 14 t 2013 — volatile
115 Zambia 12 t 2013 down 70.7% volatile
116 Sri Lanka 8 t 2013 down 50.0% volatile
117 Angola 6 t 2013 down 99.8% volatile
118 Mauritius 4 t 2013 down 86.7% volatile
119 Trinidad and Tobago 3 t 2013 — volatile
120 Serbia 2 t 2013 down 81.8% volatile
120 Zimbabwe 2 t 2013 down 85.7% volatile
122 Albania 1 t 2013 — volatile
123 Argentina 0 t 2013 down 100.0% volatile
123 Antigua and Barbuda 0 t 2013 — volatile
123 Bahamas 0 t 2013 — volatile
123 Barbados 0 t 2013 down 100.0% volatile
123 Botswana 0 t 2013 — volatile
123 Guinea 0 t 2013 — volatile
123 Grenada 0 t 2013 — volatile
123 Guyana 0 t 2013 down 100.0% volatile
123 Honduras 0 t 2013 down 100.0% volatile
123 Kyrgyzstan 0 t 2013 — volatile
123 Cambodia 0 t 2013 — volatile
123 Mali 0 t 2013 — volatile
123 Myanmar 0 t 2013 — volatile
123 Malawi 0 t 2013 down 100.0% volatile
123 Namibia 0 t 2013 down 100.0% volatile
123 Niger 0 t 2013 down 100.0% volatile
123 Nicaragua 0 t 2013 — volatile
123 Paraguay 0 t 2013 down 100.0% volatile
123 French Polynesia 0 t 2013 down 100.0% volatile
123 Rwanda 0 t 2013 — volatile
123 Eswatini 0 t 2013 — volatile
123 Czechoslovakia 0 t 1992 down 100.0% volatile
123 Cabo Verde 0 t 2013 — volatile
123 Polynesia 0 t 2013 down 100.0% volatile
123 Republic of Moldova 0 t 2013 down 100.0% volatile
123 Ethiopia PDR 0 t 1992 down 100.0% volatile
123 Netherlands Antilles (former) 0 t 2010 — volatile

Regions and income groups

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

About this data

Indicator
Hard Fibres, Other — Import Quantity
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
180 places, 8,660 data points, 1961–2013
Last refreshed

Food Balance Sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply and its utilization. The total quantity of foodstuffs produced in a country added to the total quantity imported and adjusted to any change in stocks that may have occurred since the beginning of the reference period gives the supply available during that period. On the utilization side a distinction is made between the quantities exported, fed to livestock, used for seed, put to manufacture for food use and non-food uses, losses during storage and transportation, and food supplies available for human consumption. The per caput supply of each such food item available for human consumption is then obtained by dividing the respective quantity by the related data on the population actually partaking of it. Data on per caput food supplies are expressed in terms of quantity and - by applying appropriate food composition factors for all primary and processed products - also in terms of caloric value and protein and fat content.