Meat, Other — Stock Variation in South Africa
South Africa: Meat, Other — Stock Variation was 0 1000 t in 2023. ◆ Volatile
Meat, Other — Stock Variation in South Africa, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
The most recent figure for meat, other — stock variation in South Africa is 0 1000 t, measured in 2023.
The figure is down 100.0% over five years.
Over the whole period, meat, other — stock variation in South Africa peaked at 2 1000 t in 2018 and was at its lowest, -6 1000 t, in 2014.
That places South Africa 12th out of 162 countries with data for 2023, putting it in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Meat, Other — Stock Variation in South Africa, year by year
| Year | 1000 t | Change |
|---|---|---|
| 2010 | 0 1000 t | — |
| 2011 | 0 1000 t | — |
| 2012 | 0 1000 t | — |
| 2013 | 0 1000 t | — |
| 2014 | -6 1000 t | — |
| 2015 | -3 1000 t | -50.0% |
| 2016 | 0 1000 t | -100.0% |
| 2017 | 1 1000 t | — |
| 2018 | 2 1000 t | +100.0% |
| 2019 | -1 1000 t | -150.0% |
| 2020 | 2 1000 t | -300.0% |
| 2021 | 0 1000 t | -100.0% |
| 2022 | 0 1000 t | — |
| 2023 | 0 1000 t | — |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | -0.7 1000 t | -6 1000 t | 2 1000 t | 10 |
| 2020s | 0.5 1000 t | 0 1000 t | 2 1000 t | 4 |
Countries ranked near South Africa
- 12 Tuvalu 0 1000 t
- 12 Naoero 0 1000 t
- 12 Tonga 0 1000 t
- 12 Marshall Islands 0 1000 t
- 12 Qatar 0 1000 t compare
- 12 Bahrain 0 1000 t
- 12 Kiribati 0 1000 t
- 12 Lesotho 0 1000 t
- 12 Guinea-Bissau 0 1000 t
- 12 Comoros 0 1000 t
- 12 Djibouti 0 1000 t
- 12 Sao Tome and Principe 0 1000 t
- 12 Liberia 0 1000 t compare
- 12 Mauritania 0 1000 t compare
- 12 Afghanistan 0 1000 t compare
- 12 Tajikistan 0 1000 t
- 12 China, Macao SAR 0 1000 t
- 12 Saint Kitts and Nevis 0 1000 t
- 12 Gambia 0 1000 t
- 12 Solomon Islands 0 1000 t
- 12 Libya 0 1000 t
- 12 Albania 0 1000 t
- 12 Sierra Leone 0 1000 t compare
- 12 Kuwait 0 1000 t compare
- 12 Suriname 0 1000 t
- 12 Vanuatu 0 1000 t
- 12 Montenegro 0 1000 t
- 12 Maldives 0 1000 t
- 12 Armenia 0 1000 t
- 12 Uzbekistan 0 1000 t compare
- 12 Saint Vincent and the Grenadines 0 1000 t
- 12 Gabon 0 1000 t
- 12 Haiti 0 1000 t compare
- 12 Iceland 0 1000 t
- 12 Guinea 0 1000 t compare
- 12 Eswatini 0 1000 t
- 12 Samoa 0 1000 t
- 12 Iraq 0 1000 t
- 12 Seychelles 0 1000 t
- 12 Guyana 0 1000 t
- 12 French Polynesia 0 1000 t
- 12 Papua New Guinea 0 1000 t
- 12 Estonia 0 1000 t
- 12 Angola 0 1000 t compare
- 12 Jordan 0 1000 t
- 12 Bosnia and Herzegovina 0 1000 t
- 12 North Macedonia 0 1000 t
- 12 Grenada 0 1000 t
- 12 Azerbaijan 0 1000 t
- 12 Congo 0 1000 t compare
- 12 Niger 0 1000 t compare
- 12 Lithuania 0 1000 t compare
- 12 Georgia 0 1000 t
- 12 Paraguay 0 1000 t
- 12 Finland 0 1000 t compare
- 12 Uruguay 0 1000 t compare
- 12 Bahamas 0 1000 t
- 12 Algeria 0 1000 t compare
- 12 Namibia 0 1000 t
- 12 Belarus 0 1000 t compare
- 12 New Caledonia 0 1000 t compare
- 12 Burkina Faso 0 1000 t compare
- 12 Saint Lucia 0 1000 t
- 12 Luxembourg 0 1000 t
- 12 Slovakia 0 1000 t compare
- 12 Chile 0 1000 t compare
- 12 Latvia 0 1000 t
- 12 Ukraine 0 1000 t compare
- 12 Croatia 0 1000 t compare
- 12 Norway 0 1000 t compare
- 12 Antigua and Barbuda 0 1000 t
- 12 Tunisia 0 1000 t
- 12 Serbia 0 1000 t
- 12 Barbados 0 1000 t
- 12 Myanmar 0 1000 t
- 12 Yemen 0 1000 t
- 12 Czechia 0 1000 t compare
- 12 Panama 0 1000 t
- 12 Israel 0 1000 t
- 12 Nicaragua 0 1000 t
- 12 Slovenia 0 1000 t
- 12 Rwanda 0 1000 t compare
- 12 Switzerland 0 1000 t compare
- 12 Bulgaria 0 1000 t compare
- 12 El Salvador 0 1000 t
- 12 Denmark 0 1000 t compare
- 12 Dominican Republic 0 1000 t
- 12 Belize 0 1000 t
- 12 Poland 0 1000 t compare
- 12 Mauritius 0 1000 t
- 12 Malawi 0 1000 t
- 12 Romania 0 1000 t compare
- 12 Zambia 0 1000 t compare
- 12 Mozambique 0 1000 t
- 12 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
- 12 Portugal 0 1000 t compare
- 12 Russian Federation 0 1000 t compare
- 12 Lebanon 0 1000 t
- 12 Madagascar 0 1000 t
- 12 Jamaica 0 1000 t
- 12 New Zealand 0 1000 t compare
- 12 Austria 0 1000 t compare
- 12 China, Hong Kong SAR 0 1000 t compare
- 12 Sweden 0 1000 t compare
- 12 Trinidad and Tobago 0 1000 t
- 12 Ghana 0 1000 t compare
- 12 Malta 0 1000 t compare
- 12 Senegal 0 1000 t compare
- 12 Malaysia 0 1000 t
- 12 Ecuador 0 1000 t
- 12 Kazakhstan 0 1000 t compare
- 12 Morocco 0 1000 t compare
- 12 China, Taiwan Province of 0 1000 t
- 12 Fiji 0 1000 t
- 12 Australia 0 1000 t compare
- 12 Hungary 0 1000 t compare
- 12 Zimbabwe 0 1000 t compare
- 12 Bangladesh 0 1000 t
- 12 Greece 0 1000 t compare
- 12 Cameroon 0 1000 t compare
- 12 Cambodia 0 1000 t
- 12 Nigeria 0 1000 t compare
- 12 Pakistan 0 1000 t
- 12 Italy 0 1000 t compare
- 12 Republic of Korea 0 1000 t compare
- 12 Cyprus 0 1000 t
- 12 Philippines 0 1000 t compare
- 12 Uganda 0 1000 t
- 12 Sri Lanka 0 1000 t
- 12 Honduras 0 1000 t
- 12 Costa Rica 0 1000 t
- 12 Peru 0 1000 t compare
- 12 Spain 0 1000 t compare
- 12 India 0 1000 t
- 12 Brazil 0 1000 t compare
- 12 Mexico 0 1000 t compare
- 12 Colombia 0 1000 t compare
- 12 Egypt 0 1000 t compare
- 12 Australia and New Zealand 0 1000 t compare
- 12 Guatemala 0 1000 t
- 12 Indonesia 0 1000 t compare
- 12 Nepal 0 1000 t
- 12 Kenya 0 1000 t compare
More agriculture & rural data for South Africa
- Agriculture, forestry, and fishing, value added (current US$), annual 7.11 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0283 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 186.56 current US$ per person (2025)
- Rural population, annual growth rate 0.812 % change on previous year (2025)
- Rural population, per unit of GDP 0.0001 units per US$ of GDP (2025)
- Rural population, per capita 0.3618 units per person (2025)
- Agriculture share gdp 2.83 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 2.83 (2025)
- Agricultural raw materials exports 2.0% (2025)
- Agricultural raw materials imports 1.0% (2025)
Frequently asked questions
- What is meat, other — stock variation in South Africa?
- Meat, other — stock variation in South Africa was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest meat, other — stock variation recorded in South Africa?
- The highest recorded value was 2 1000 t in 2018.
- What is the lowest meat, other — stock variation recorded in South Africa?
- The lowest recorded value was -6 1000 t in 2014.
- How does South Africa rank for meat, other — stock variation?
- South Africa ranks 12th out of 162 countries with data for 2023.
- Where does this South Africa data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Meat, Other — Stock Variation. Statizoid updates them automatically from the source API.
Download this data
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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.