Infant food — Stock Variation in Brazil
Brazil: Infant food — Stock Variation was 0 1000 t in 2023. ◆ Volatile
Infant food — Stock Variation in Brazil, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
The most recent figure for infant food — stock variation in Brazil is 0 1000 t, measured in 2023.
Compared with earlier readings it is up 100.0% over ten years.
Over the whole period, infant food — stock variation in Brazil peaked at 6 1000 t in 2015 and was at its lowest, -7 1000 t, in 2020.
That places Brazil 16th out of 178 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.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 1 1000 t | -2 1000 t | 6 1000 t | 10 |
| 2020s | -3 1000 t | -7 1000 t | 0 1000 t | 4 |
Countries ranked near Brazil
- 16 Nauru 0 1000 t compare
- 16 Marshall Islands 0 1000 t compare
- 16 Tonga 0 1000 t compare
- 16 Bhutan 0 1000 t compare
- 16 Qatar 0 1000 t compare
- 16 Bahrain 0 1000 t compare
- 16 Cuba 0 1000 t compare
- 16 Turkmenistan 0 1000 t compare
- 16 Guinea-Bissau 0 1000 t compare
- 16 Afghanistan 0 1000 t compare
- 16 Comoros 0 1000 t compare
- 16 Djibouti 0 1000 t compare
- 16 Kiribati 0 1000 t compare
- 16 Sao Tome and Principe 0 1000 t compare
- 16 Tajikistan 0 1000 t compare
- 16 Liberia 0 1000 t compare
- 16 China, Macao SAR 0 1000 t compare
- 16 Gambia 0 1000 t compare
- 16 Mauritania 0 1000 t compare
- 16 Libya 0 1000 t compare
- 16 Saint Kitts and Nevis 0 1000 t compare
- 16 Mongolia 0 1000 t compare
- 16 Montenegro 0 1000 t compare
- 16 Suriname 0 1000 t compare
- 16 Solomon Islands 0 1000 t compare
- 16 Armenia 0 1000 t compare
- 16 Eswatini 0 1000 t compare
- 16 Guinea 0 1000 t compare
- 16 Albania 0 1000 t compare
- 16 Gabon 0 1000 t compare
- 16 Haiti 0 1000 t compare
- 16 Kyrgyzstan 0 1000 t compare
- 16 Saint Vincent and the Grenadines 0 1000 t compare
- 16 Iraq 0 1000 t compare
- 16 Niger 0 1000 t compare
- 16 Maldives 0 1000 t compare
- 16 Vanuatu 0 1000 t compare
- 16 Azerbaijan 0 1000 t compare
- 16 Burkina Faso 0 1000 t compare
- 16 Angola 0 1000 t compare
- 16 Papua New Guinea 0 1000 t compare
- 16 Congo 0 1000 t compare
- 16 Grenada 0 1000 t compare
- 16 Samoa 0 1000 t compare
- 16 Paraguay 0 1000 t compare
- 16 French Polynesia 0 1000 t compare
- 16 Jordan 0 1000 t compare
- 16 North Macedonia 0 1000 t compare
- 16 Georgia 0 1000 t compare
- 16 Bosnia and Herzegovina 0 1000 t compare
- 16 Guyana 0 1000 t compare
- 16 Rwanda 0 1000 t compare
- 16 Saint Lucia 0 1000 t compare
- 16 Luxembourg 0 1000 t compare
- 16 New Caledonia 0 1000 t compare
- 16 Slovak Republic 0 1000 t compare
- 16 Uruguay 0 1000 t compare
- 16 Serbia 0 1000 t compare
- 16 Yemen 0 1000 t compare
- 16 Malawi 0 1000 t compare
- 16 Barbados 0 1000 t compare
- 16 Croatia 0 1000 t compare
- 16 Israel 0 1000 t compare
- 16 Seychelles 0 1000 t compare
- 16 Ukraine 0 1000 t compare
- 16 Czechia 0 1000 t compare
- 16 Tunisia 0 1000 t compare
- 16 Argentina 0 1000 t compare
- 16 Zambia 0 1000 t compare
- 16 Nicaragua 0 1000 t compare
- 16 Switzerland 0 1000 t compare
- 16 Iceland 0 1000 t compare
- 16 Namibia 0 1000 t compare
- 16 Bahamas 0 1000 t compare
- 16 Estonia 0 1000 t compare
- 16 Mozambique 0 1000 t compare
- 16 Finland 0 1000 t compare
- 16 Lithuania 0 1000 t compare
- 16 Bulgaria 0 1000 t compare
- 16 Antigua and Barbuda 0 1000 t compare
- 16 Dominican Republic 0 1000 t compare
- 16 Lebanon 0 1000 t compare
- 16 Belarus 0 1000 t compare
- 16 Slovenia 0 1000 t compare
- 16 Madagascar 0 1000 t compare
- 16 Myanmar 0 1000 t compare
- 16 Ethiopia 0 1000 t compare
- 16 Ghana 0 1000 t compare
- 16 Romania 0 1000 t compare
- 16 Chile 0 1000 t compare
- 16 Zimbabwe 0 1000 t compare
- 16 Latvia 0 1000 t compare
- 16 Norway 0 1000 t compare
- 16 Senegal 0 1000 t compare
- 16 Panama 0 1000 t compare
- 16 Ireland 0 1000 t compare
- 16 Cameroon 0 1000 t compare
- 16 Trinidad and Tobago 0 1000 t compare
- 16 Portugal 0 1000 t compare
- 16 El Salvador 0 1000 t compare
- 16 Malta 0 1000 t compare
- 16 Canada 0 1000 t compare
- 16 Kazakhstan 0 1000 t compare
- 16 Bangladesh 0 1000 t compare
- 16 Belize 0 1000 t compare
- 16 China, Hong Kong SAR 0 1000 t compare
- 16 Netherlands (Kingdom of the) 0 1000 t compare
- 16 Uganda 0 1000 t compare
- 16 Mauritius 0 1000 t compare
- 16 Nigeria 0 1000 t compare
- 16 Malaysia 0 1000 t compare
- 16 Morocco 0 1000 t compare
- 16 Fiji 0 1000 t compare
- 16 United Arab Emirates 0 1000 t compare
- 16 Hungary 0 1000 t compare
- 16 Denmark 0 1000 t compare
- 16 Australia 0 1000 t compare
- 16 Poland 0 1000 t compare
- 16 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
- 16 New Zealand 0 1000 t compare
- 16 Greece 0 1000 t compare
- 16 Sweden 0 1000 t compare
- 16 Ecuador 0 1000 t compare
- 16 China, Taiwan Province of 0 1000 t compare
- 16 Sri Lanka 0 1000 t compare
- 16 Cyprus 0 1000 t compare
- 16 France 0 1000 t compare
- 16 India 0 1000 t compare
- 16 Pakistan 0 1000 t compare
- 16 Spain 0 1000 t compare
- 16 Germany 0 1000 t compare
- 16 Colombia 0 1000 t compare
- 16 Italy 0 1000 t compare
- 16 Nepal 0 1000 t compare
- 16 Peru 0 1000 t compare
- 16 Egypt 0 1000 t compare
- 16 Costa Rica 0 1000 t compare
- 16 Honduras 0 1000 t compare
- 16 Thailand 0 1000 t compare
- 16 Guatemala 0 1000 t compare
- 16 Mexico 0 1000 t compare
- 16 Indonesia 0 1000 t compare
- 16 Australia and New Zealand 0 1000 t compare
- 18 South Africa 0 1000 t compare
More agriculture & rural data for Brazil
- Agriculture share gdp 6.09 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 6.09 (2025)
- Agricultural raw materials exports 5.2% (2025)
- Agricultural raw materials imports 0.8% (2025)
- Rural population 11.8% (2025)
- Rural population growth -2.0% (2025)
- Rural population 25.16 million (2025)
- Agriculture, forestry, and fishing, value added 6.1% (2025)
- Agriculture, forestry, and fishing, value added 138.76 billion current US$ (2025)
- Bananas — Production 7.05 million t (2024)
Frequently asked questions
- What is infant food — stock variation in Brazil?
- Infant food — stock variation in Brazil was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest infant food — stock variation recorded in Brazil?
- The highest recorded value was 6 1000 t in 2015.
- What is the lowest infant food — stock variation recorded in Brazil?
- The lowest recorded value was -7 1000 t in 2020.
- How does Brazil rank for infant food — stock variation?
- Brazil ranks 16th out of 178 countries with data for 2023.
- Is infant food — stock variation rising or falling in Brazil?
- Over the last ten years it is up 100.0%. The long-run trend across the full record is volatile.
- Where does this Brazil data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Infant food — 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.