Cotton lint — Stock Variation 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...
What the numbers show
Cotton lint — Stock Variation is currently reported for 71 countries. The highest value is 156,000 t in Australia; the lowest is -2,500 t in Paraguay.
The median across all reporting countries is 0 t, and the mean is 6,746 t.
The gap between the highest and lowest reporting country is a factor of about 62.
Over the past decade 16 countries rose and 10 fell. The largest increase was in Israel (up 515.4%), and the largest decrease in Paraguay (down 125.0%).
Cotton lint — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Australia | 156,000 t | 2013 | up 113.7% | flat |
| 1 | Australia and New Zealand | 156,000 t | 2013 | up 113.7% | flat |
| 3 | Mali | 50,000 t | 2013 | up 162.5% | flat |
| 4 | Benin | 49,800 t | 2013 | up 176.7% | flat |
| 4 | United Republic of Tanzania | 0 t | 2013 | — | flat |
| 4 | Republic of Moldova | 0 t | 2013 | — | flat |
| 4 | Iran (Islamic Republic of) | 0 t | 2013 | — | flat |
| 4 | Bolivia (Plurinational State of) | 0 t | 2013 | — | flat |
| 5 | C�te d'Ivoire | 18,000 t | 2013 | up 172.0% | volatile |
| 6 | Kyrgyzstan | 12,000 t | 2013 | up 62.2% | volatile |
| 7 | Afghanistan | 10,000 t | 2013 | — | flat |
| 8 | Cameroon | 8,200 t | 2013 | down 50.3% | flat |
| 9 | Israel | 8,000 t | 2013 | up 515.4% | volatile |
| 10 | Senegal | 5,020 t | 2013 | up 109.2% | volatile |
| 11 | Zambia | 5,000 t | 2013 | up 225.0% | flat |
| 12 | Togo | 3,400 t | 2013 | up 115.4% | flat |
| 13 | Latvia | 30 t | 2013 | — | flat |
| 13 | Cambodia | 30 t | 2013 | — | flat |
| 15 | Argentina | 0 t | 2013 | — | volatile |
| 15 | Ukraine | 0 t | 2013 | — | flat |
| 15 | Uruguay | 0 t | 2013 | — | flat |
| 15 | Angola | 0 t | 2013 | — | flat |
| 15 | Spain | 0 t | 2013 | — | flat |
| 15 | Yemen | 0 t | 2013 | — | volatile |
| 15 | United Arab Emirates | 0 t | 2013 | — | flat |
| 15 | United Kingdom of Great Britain and Northern Ireland | 0 t | 2013 | — | flat |
| 15 | Zimbabwe | 0 t | 2013 | — | volatile |
| 15 | Netherlands (Kingdom of the) | 0 t | 2013 | — | volatile |
| 15 | Costa Rica | 0 t | 2013 | up 100.0% | flat |
| 15 | Azerbaijan | 0 t | 2013 | — | flat |
| 15 | Central African Republic | 0 t | 2013 | down 100.0% | flat |
| 15 | Belgium | 0 t | 2013 | down 100.0% | volatile |
| 15 | Sudan (former) | 0 t | 2011 | up 100.0% | flat |
| 15 | Russian Federation | 0 t | 2013 | — | flat |
| 15 | Burkina Faso | 0 t | 2013 | down 100.0% | flat |
| 15 | Botswana | 0 t | 2013 | — | flat |
| 15 | Bosnia and Herzegovina | 0 t | 2013 | — | flat |
| 15 | Jamaica | 0 t | 2013 | up 100.0% | flat |
| 15 | Mozambique | 0 t | 2013 | down 100.0% | volatile |
| 15 | Myanmar | 0 t | 2013 | — | flat |
| 15 | Denmark | 0 t | 2013 | — | flat |
| 15 | Madagascar | 0 t | 2013 | — | flat |
| 15 | Lithuania | 0 t | 2013 | — | flat |
| 15 | Lebanon | 0 t | 2013 | — | flat |
| 15 | Saint Kitts and Nevis | 0 t | 2013 | — | flat |
| 15 | Kenya | 0 t | 2013 | — | flat |
| 15 | Kazakhstan | 0 t | 2013 | up 100.0% | volatile |
| 15 | Turkmenistan | 0 t | 2013 | — | volatile |
| 15 | Honduras | 0 t | 2013 | — | flat |
| 15 | Guatemala | 0 t | 2013 | — | flat |
| 15 | Greece | 0 t | 2013 | — | volatile |
| 15 | Guinea-Bissau | 0 t | 2013 | — | flat |
| 15 | Gambia | 0 t | 2013 | down 100.0% | volatile |
| 15 | Ghana | 0 t | 2013 | — | volatile |
| 15 | Georgia | 0 t | 2013 | down 100.0% | flat |
| 15 | Finland | 0 t | 2013 | — | flat |
| 15 | Estonia | 0 t | 2013 | — | volatile |
| 15 | Uganda | 0 t | 2013 | — | flat |
| 15 | Tajikistan | 0 t | 2013 | — | flat |
| 15 | Chad | 0 t | 2013 | down 100.0% | flat |
| 15 | Malawi | 0 t | 2013 | — | flat |
| 15 | Namibia | 0 t | 2013 | down 100.0% | flat |
| 15 | Eswatini | 0 t | 2013 | up 100.0% | flat |
| 15 | El Salvador | 0 t | 2013 | — | flat |
| 15 | Niger | 0 t | 2013 | — | flat |
| 15 | Peru | 0 t | 2013 | — | flat |
| 15 | New Zealand | 0 t | 2013 | — | flat |
| 15 | Nigeria | 0 t | 2013 | — | flat |
| 15 | Nicaragua | 0 t | 2013 | — | flat |
| 16 | Caribbean | 0 t | 2013 | up 100.0% | flat |
| 66 | Paraguay | -2,500 t | 2013 | down 125.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 322,980 t
- Land Locked Developing Countries 74,500 t
- Low Income Food Deficit Countries 156,420 t
- Asia 30,030 t
- Oceania 156,000 t
- Middle Africa 8,200 t
- Net Food Importing Developing Countries 141,250 t
- Africa 139,420 t
- Western Africa 126,220 t
- Least developed countries 123,250 t
- Central Asia 12,000 t
- Southern Asia 10,000 t
- Western Asia 8,000 t
- Eastern Africa 5,000 t
- European Union (27) 30 t
- South-Eastern Asia 30 t
- Europe 30 t
- Northern Europe 30 t
- Northern Africa 0 t
- Small Island Developing States 0 t
- United States of America 0 t
- Southern Europe 0 t
- Central America 0 t
- Northern America 0 t
- Eastern Europe 0 t
- Western Europe 0 t
- Southern Africa 0 t
- South America -2,500 t
- Americas -2,500 t
About this data
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.