Animal fats — Stock Variation in India
India: Animal fats — Stock Variation was 0 1000 t in 2023. ◆ Volatile
Animal fats — Stock Variation in India, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
In 2023, animal fats — stock variation in India stood at 0 1000 t.
Compared with earlier readings it is down 100.0% on the previous year and down 100.0% over ten years.
Over the whole period, animal fats — stock variation in India peaked at 17 1000 t in 2014 and was at its lowest, -11 1000 t, in 2018.
That places India 26th out of 160 countries with data for 2023, putting it in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 3.4 1000 t | -11 1000 t | 17 1000 t | 10 |
| 2020s | 0.75 1000 t | 0 1000 t | 3 1000 t | 4 |
Countries ranked near India
- 26 Tuvalu 0 1000 t
- 26 Nauru 0 1000 t
- 26 Tonga 0 1000 t
- 26 Marshall Islands 0 1000 t
- 26 Bhutan 0 1000 t
- 26 Qatar 0 1000 t
- 26 Bahrain 0 1000 t
- 26 Cuba 0 1000 t
- 26 Turkmenistan 0 1000 t compare
- 26 Kiribati 0 1000 t
- 26 Comoros 0 1000 t
- 26 Djibouti 0 1000 t
- 26 Sao Tome and Principe 0 1000 t
- 26 Liberia 0 1000 t
- 26 Mauritania 0 1000 t
- 26 Afghanistan 0 1000 t compare
- 26 China, Macao SAR 0 1000 t
- 26 Saint Kitts and Nevis 0 1000 t
- 26 Gambia 0 1000 t
- 26 Solomon Islands 0 1000 t
- 26 Libya 0 1000 t
- 26 Sierra Leone 0 1000 t
- 26 Kuwait 0 1000 t
- 26 Suriname 0 1000 t
- 26 Vanuatu 0 1000 t
- 26 Montenegro 0 1000 t
- 26 Maldives 0 1000 t
- 26 Armenia 0 1000 t
- 26 Uzbekistan 0 1000 t compare
- 26 Gabon 0 1000 t
- 26 Saudi Arabia 0 1000 t
- 26 Haiti 0 1000 t compare
- 26 Guinea 0 1000 t compare
- 26 Kyrgyzstan 0 1000 t compare
- 26 Iceland 0 1000 t
- 26 Eswatini 0 1000 t
- 26 Iraq 0 1000 t compare
- 26 Oman 0 1000 t compare
- 26 Samoa 0 1000 t
- 26 Guyana 0 1000 t
- 26 Papua New Guinea 0 1000 t
- 26 Seychelles 0 1000 t
- 26 French Polynesia 0 1000 t
- 26 Jordan 0 1000 t compare
- 26 Estonia 0 1000 t compare
- 26 Bosnia and Herzegovina 0 1000 t
- 26 North Macedonia 0 1000 t
- 26 Grenada 0 1000 t
- 26 Azerbaijan 0 1000 t compare
- 26 Niger 0 1000 t
- 26 Congo 0 1000 t
- 26 Georgia 0 1000 t compare
- 26 Paraguay 0 1000 t compare
- 26 Lithuania 0 1000 t compare
- 26 Finland 0 1000 t compare
- 26 Algeria 0 1000 t
- 26 Bahamas 0 1000 t
- 26 Burkina Faso 0 1000 t compare
- 26 New Caledonia 0 1000 t
- 26 Saint Lucia 0 1000 t
- 26 Luxembourg 0 1000 t
- 26 Latvia 0 1000 t compare
- 26 Serbia 0 1000 t
- 26 Antigua and Barbuda 0 1000 t
- 26 Tunisia 0 1000 t compare
- 26 Yemen 0 1000 t compare
- 26 Myanmar 0 1000 t compare
- 26 Barbados 0 1000 t
- 26 Argentina 0 1000 t compare
- 26 Israel 0 1000 t
- 26 Panama 0 1000 t compare
- 26 Nicaragua 0 1000 t compare
- 26 Rwanda 0 1000 t
- 26 Slovenia 0 1000 t compare
- 26 Switzerland 0 1000 t compare
- 26 Bulgaria 0 1000 t
- 26 Belgium 0 1000 t compare
- 26 El Salvador 0 1000 t compare
- 26 Malawi 0 1000 t
- 26 Belize 0 1000 t
- 26 Dominican Republic 0 1000 t
- 26 Mozambique 0 1000 t
- 26 Mauritius 0 1000 t
- 26 Romania 0 1000 t compare
- 26 Poland 0 1000 t compare
- 26 Portugal 0 1000 t compare
- 26 Lebanon 0 1000 t
- 26 Madagascar 0 1000 t
- 26 Jamaica 0 1000 t
- 26 Austria 0 1000 t compare
- 26 China, Hong Kong SAR 0 1000 t compare
- 26 Ghana 0 1000 t
- 26 Malta 0 1000 t
- 26 Senegal 0 1000 t compare
- 26 China, Taiwan Province of 0 1000 t compare
- 26 Zimbabwe 0 1000 t compare
- 26 Botswana 0 1000 t compare
- 26 Fiji 0 1000 t
- 26 Ethiopia 0 1000 t compare
- 26 Bangladesh 0 1000 t
- 26 Cameroon 0 1000 t compare
- 26 Greece 0 1000 t compare
- 26 Cambodia 0 1000 t
- 26 Pakistan 0 1000 t compare
- 26 Nigeria 0 1000 t compare
- 26 South Africa 0 1000 t compare
- 26 Italy 0 1000 t compare
- 26 Cyprus 0 1000 t
- 26 Uganda 0 1000 t
- 26 Sri Lanka 0 1000 t compare
- 26 Honduras 0 1000 t compare
- 26 Costa Rica 0 1000 t
- 26 Spain 0 1000 t compare
- 26 Brazil 0 1000 t
- 26 Thailand 0 1000 t compare
- 26 Colombia 0 1000 t compare
- 26 Egypt 0 1000 t compare
- 26 Guatemala 0 1000 t compare
- 26 Nepal 0 1000 t compare
- 26 Kenya 0 1000 t compare
More agriculture & rural data for India
- Agriculture, forestry, and fishing, value added (current US$), annual -2.83 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.1623 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 438.73 current US$ per person (2025)
- Rural population, annual growth rate 0.4067 % change on previous year (2025)
- Rural population, per unit of GDP 0.0002 units per US$ of GDP (2025)
- Rural population, per capita 0.6431 units per person (2025)
- Agriculture share gdp 16.23 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 16.23 (2025)
- Agricultural raw materials exports 0.9% (2024)
- Agricultural raw materials imports 1.5% (2024)
Frequently asked questions
- What is animal fats — stock variation in India?
- Animal fats — stock variation in India was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest animal fats — stock variation recorded in India?
- The highest recorded value was 17 1000 t in 2014.
- What is the lowest animal fats — stock variation recorded in India?
- The lowest recorded value was -11 1000 t in 2018.
- How does India rank for animal fats — stock variation?
- India ranks 26th out of 160 countries with data for 2023.
- Is animal fats — stock variation rising or falling in India?
- Over the last ten years it is down 100.0%. The long-run trend across the full record is volatile.
- Where does this India data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Animal fats — Stock Variation. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 14 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
A 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 capita 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.