Statizoid

Hard Fibres, Other — Export 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
103
Highest
651,735 t
India
Lowest
0 t
Yugoslav SFR
Median
7 t
Years covered
53
1961–2013
Data points
6,522

What the numbers show

Hard Fibres, Other — Export Quantity is currently reported for 103 countries. The highest value is 651,735 t in India; the lowest is 0 t in Yugoslav SFR.

The median across all reporting countries is 7 t, and the mean is 12,325 t.

Over the past decade 30 countries rose and 16 fell. The largest increase was in Brazil (up 106,000.0%), and the largest decrease in Bulgaria (down 100.0%).

Hard Fibres, Other — Export Quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 India 651,735 t 2013 up 2,269.6% volatile
2 Sri Lanka 308,914 t 2013 up 108.9% volatile
3 Viet Nam 100,000 t 2013 up 49.2% volatile
4 Thailand 53,990 t 2013 up 75.3% volatile
5 Brazil 29,708 t 2013 up 106,000.0% volatile
6 Philippines 29,231 t 2013 up 654.2% volatile
7 Indonesia 25,827 t 2013 up 5,247.2% volatile
8 Malaysia 18,594 t 2013 up 3,881.6% volatile
9 Madagascar 16,015 t 2013 up 308.6% volatile
10 Ecuador 9,438 t 2013 — volatile
11 Netherlands (Kingdom of the) 6,479 t 2013 up 293.6% volatile
12 United Republic of Tanzania 3,329 t 2013 up 4,167.9% volatile
13 Belgium 2,754 t 2013 up 1,236.9% volatile
14 Mexico 2,712 t 2013 up 73.0% volatile
15 Germany 2,701 t 2013 up 255.4% volatile
16 Spain 2,152 t 2013 up 3,427.9% volatile
17 C�te d'Ivoire 2,145 t 2013 up 85.1% volatile
18 China, mainland 665 t 2013 up 120.9% volatile
19 Belgium-Luxembourg 382 t 1999 up 101.1% volatile
20 Italy 328 t 2013 up 252.7% volatile
21 France 303 t 2013 up 326.8% volatile
22 Israel 284 t 2013 up 711.4% volatile
23 Denmark 226 t 2013 up 3,128.6% volatile
24 Czechia 189 t 2013 up 293.8% volatile
24 Lithuania 189 t 2013 up 2,000.0% volatile
26 Russian Federation 165 t 2013 — volatile
27 Costa Rica 148 t 2013 — volatile
28 Austria 87 t 2013 — volatile
29 Sierra Leone 63 t 2013 — volatile
29 Australia and New Zealand 63 t 2013 up 12.5% volatile
31 Canada 56 t 2013 down 99.8% volatile
32 Ireland 54 t 2013 up 5,300.0% volatile
33 Australia 52 t 2013 down 3.7% volatile
34 China, Hong Kong SAR 51 t 2013 down 70.5% volatile
35 United Kingdom of Great Britain and Northern Ireland 49 t 2013 up 22.5% volatile
36 Sweden 47 t 2013 up 147.4% volatile
37 Switzerland 40 t 2013 — volatile
38 El Salvador 34 t 2013 — volatile
39 Portugal 33 t 2013 down 62.5% volatile
40 Bangladesh 32 t 2013 up 700.0% volatile
41 Ethiopia PDR 27 t 1992 — volatile
42 Jordan 21 t 2013 — volatile
43 Oman 18 t 2013 — volatile
44 Poland 14 t 2013 — volatile
45 Cyprus 13 t 2013 down 90.8% volatile
46 Slovenia 12 t 2013 down 83.6% volatile
47 New Zealand 11 t 2013 up 450.0% volatile
47 China, Taiwan Province of 11 t 2013 down 97.6% volatile
49 Kenya 10 t 2013 down 84.4% volatile
50 Venezuela (Bolivarian Republic of) 9 t 2013 down 98.3% volatile
51 Pakistan 8 t 2013 — volatile
52 Luxembourg 7 t 2013 — volatile
53 Egypt 6 t 2013 down 88.2% volatile
54 Greece 5 t 2013 — volatile
55 Hungary 4 t 2013 — volatile
56 Latvia 3 t 2013 — volatile
56 Tunisia 3 t 2013 — volatile
56 Republic of Korea 3 t 2013 — volatile
59 Norway 2 t 2013 — volatile
60 Guatemala 1 t 2013 — volatile
60 Jamaica 1 t 2013 — volatile
60 Morocco 1 t 2013 — volatile
60 Caribbean 1 t 2013 — volatile
60 T�rkiye 1 t 2013 — volatile
65 Angola 0 t 2013 — volatile
65 Argentina 0 t 2013 — volatile
65 Bulgaria 0 t 2013 down 100.0% volatile
65 Belarus 0 t 2013 — volatile
65 Botswana 0 t 2013 — volatile
65 Chile 0 t 2013 — volatile
65 Colombia 0 t 2013 — volatile
65 Cuba 0 t 2013 — volatile
65 Fiji 0 t 2013 — volatile
65 Georgia 0 t 2013 — volatile
65 Ghana 0 t 2013 down 100.0% volatile
65 Guyana 0 t 2013 — volatile
65 Honduras 0 t 2013 down 100.0% volatile
65 Croatia 0 t 2013 — volatile
65 Iraq 0 t 2013 — volatile
65 Japan 0 t 2013 down 100.0% volatile
65 Cambodia 0 t 2013 — volatile
65 Lebanon 0 t 2013 — volatile
65 North Macedonia 0 t 2013 — volatile
65 Mauritius 0 t 2013 — volatile
65 Malawi 0 t 2013 — volatile
65 Nigeria 0 t 2013 — volatile
65 Nicaragua 0 t 2013 — volatile
65 Nepal 0 t 2013 — volatile
65 Peru 0 t 2013 — volatile
65 Romania 0 t 2013 — volatile
65 Saudi Arabia 0 t 2013 — volatile
65 Eswatini 0 t 2013 down 100.0% volatile
65 Togo 0 t 2013 — volatile
65 Trinidad and Tobago 0 t 2013 — volatile
65 Ukraine 0 t 2013 — volatile
65 Yemen 0 t 2013 — volatile
65 Zambia 0 t 2013 — volatile
65 Zimbabwe 0 t 2013 — volatile
65 Czechoslovakia 0 t 1992 — volatile
65 Melanesia 0 t 2013 — volatile
65 Iran (Islamic Republic of) 0 t 2013 — volatile
65 Republic of Moldova 0 t 2013 — volatile
65 Yugoslav SFR 0 t 1991 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.

About this data

Indicator
Hard Fibres, Other — Export Quantity
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
133 places, 6,522 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.