Fats, Animals, Raw — Residuals in Bangladesh
Bangladesh: Fats, Animals, Raw — Residuals was 0 1000 t in 2023. ◆ Volatile
Fats, Animals, Raw — Residuals in Bangladesh, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
Bangladesh recorded 0 1000 t for fats, animals, raw — residuals in 2023. That is the lowest value across all 14 years on record.
Compared with earlier readings it is down 100.0% over five years.
Over the whole period, fats, animals, raw — residuals in Bangladesh peaked at 3 1000 t in 2017 and was at its lowest, 0 1000 t, in 2010.
Bangladesh ranks 8th of 164 countries on this measure, 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 | 0.8 1000 t | 0 1000 t | 3 1000 t | 10 |
| 2020s | 0 1000 t | 0 1000 t | 0 1000 t | 4 |
Countries ranked near Bangladesh
- 5 Uzbekistan 2 1000 t compare
- 6 Bulgaria 1 1000 t compare
- 6 Mexico 1 1000 t compare
- 8 Tuvalu 0 1000 t
- 8 Nauru 0 1000 t
- 8 Tonga 0 1000 t
- 8 Marshall Islands 0 1000 t
- 8 Bhutan 0 1000 t
- 8 Qatar 0 1000 t
- 8 Bahrain 0 1000 t
- 8 Cuba 0 1000 t
- 8 Turkmenistan 0 1000 t
- 8 Lesotho 0 1000 t
- 8 Kiribati 0 1000 t
- 8 Guinea-Bissau 0 1000 t
- 8 Comoros 0 1000 t
- 8 Djibouti 0 1000 t compare
- 8 Sao Tome and Principe 0 1000 t
- 8 Liberia 0 1000 t
- 8 Mauritania 0 1000 t
- 8 Tajikistan 0 1000 t
- 8 Afghanistan 0 1000 t compare
- 8 China, Macao SAR 0 1000 t
- 8 Gambia 0 1000 t compare
- 8 Saint Kitts and Nevis 0 1000 t
- 8 Solomon Islands 0 1000 t
- 8 Libya 0 1000 t
- 8 Albania 0 1000 t
- 8 Sierra Leone 0 1000 t
- 8 Kuwait 0 1000 t compare
- 8 Suriname 0 1000 t
- 8 Montenegro 0 1000 t
- 8 Vanuatu 0 1000 t
- 8 Maldives 0 1000 t
- 8 Armenia 0 1000 t
- 8 Saint Vincent and the Grenadines 0 1000 t
- 8 Gabon 0 1000 t
- 8 Eswatini 0 1000 t
- 8 Saudi Arabia 0 1000 t compare
- 8 Guinea 0 1000 t
- 8 Haiti 0 1000 t
- 8 Iraq 0 1000 t
- 8 Guyana 0 1000 t
- 8 Kyrgyzstan 0 1000 t
- 8 Papua New Guinea 0 1000 t
- 8 Oman 0 1000 t compare
- 8 Samoa 0 1000 t
- 8 Angola 0 1000 t
- 8 French Polynesia 0 1000 t
- 8 Seychelles 0 1000 t
- 8 Grenada 0 1000 t
- 8 North Macedonia 0 1000 t
- 8 Jordan 0 1000 t
- 8 Congo 0 1000 t
- 8 Estonia 0 1000 t compare
- 8 Niger 0 1000 t
- 8 Algeria 0 1000 t
- 8 Namibia 0 1000 t compare
- 8 Georgia 0 1000 t compare
- 8 Paraguay 0 1000 t compare
- 8 Lithuania 0 1000 t compare
- 8 Bahamas 0 1000 t
- 8 Burkina Faso 0 1000 t compare
- 8 Saint Lucia 0 1000 t
- 8 New Caledonia 0 1000 t
- 8 Luxembourg 0 1000 t
- 8 Belarus 0 1000 t compare
- 8 Slovak Republic 0 1000 t compare
- 8 Chile 0 1000 t compare
- 8 Ukraine 0 1000 t compare
- 8 Israel 0 1000 t
- 8 Myanmar 0 1000 t
- 8 Serbia 0 1000 t
- 8 Norway 0 1000 t compare
- 8 Yemen 0 1000 t
- 8 Antigua and Barbuda 0 1000 t
- 8 Barbados 0 1000 t
- 8 Panama 0 1000 t compare
- 8 Rwanda 0 1000 t
- 8 Nicaragua 0 1000 t
- 8 Dominican Republic 0 1000 t compare
- 8 El Salvador 0 1000 t
- 8 Malawi 0 1000 t
- 8 Belize 0 1000 t
- 8 Mozambique 0 1000 t
- 8 Zambia 0 1000 t
- 8 Mauritius 0 1000 t
- 8 Lebanon 0 1000 t compare
- 8 Madagascar 0 1000 t
- 8 United Arab Emirates 0 1000 t
- 8 Jamaica 0 1000 t
- 8 New Zealand 0 1000 t compare
- 8 Ghana 0 1000 t
- 8 China, Hong Kong SAR 0 1000 t compare
- 8 Senegal 0 1000 t
- 8 Trinidad and Tobago 0 1000 t
- 8 Malta 0 1000 t
- 8 Morocco 0 1000 t
- 8 Kazakhstan 0 1000 t compare
- 8 China, Taiwan Province of 0 1000 t
- 8 Zimbabwe 0 1000 t
- 8 Ethiopia 0 1000 t
- 8 Fiji 0 1000 t
- 8 Cameroon 0 1000 t
- 8 Pakistan 0 1000 t compare
- 8 Cambodia 0 1000 t
- 8 Nigeria 0 1000 t
- 8 Germany 0 1000 t compare
- 8 Republic of Korea 0 1000 t compare
- 8 Uganda 0 1000 t
- 8 Philippines 0 1000 t
- 8 Cyprus 0 1000 t
- 8 Sri Lanka 0 1000 t compare
- 8 India 0 1000 t compare
- 8 Honduras 0 1000 t
- 8 Peru 0 1000 t
- 8 Egypt 0 1000 t compare
- 8 Nepal 0 1000 t
- 8 Kenya 0 1000 t
More agriculture & rural data for Bangladesh
- Agriculture, forestry, and fishing, value added (current US$), annual 3.73 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.1142 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 296.72 current US$ per person (2025)
- Rural population, annual growth rate 0.38 % change on previous year (2025)
- Rural population, per unit of GDP 0.0003 units per US$ of GDP (2025)
- Rural population, per capita 0.6676 units per person (2025)
- Agriculture share gdp 11.42 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 11.42 (2025)
- Agricultural raw materials exports 0.8% (2018)
- Agricultural raw materials imports 6.0% (2018)
Frequently asked questions
- What is fats, animals, raw — residuals in Bangladesh?
- Fats, animals, raw — residuals in Bangladesh was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest fats, animals, raw — residuals recorded in Bangladesh?
- The highest recorded value was 3 1000 t in 2017.
- What is the lowest fats, animals, raw — residuals recorded in Bangladesh?
- The lowest recorded value was 0 1000 t in 2010.
- How does Bangladesh rank for fats, animals, raw — residuals?
- Bangladesh ranks 8th out of 164 countries with data for 2023.
- Where does this Bangladesh data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Fats, Animals, Raw — Residuals. 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.