Fish, Seafood — Other uses in Nepal
Nepal: Fish, Seafood — Other uses was 0 1000 t in 2023. ◆ Volatile
Fish, Seafood — Other uses in Nepal, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
The most recent figure for fish, seafood — other uses in Nepal is 0 1000 t, measured in 2023. That is the lowest value across all 14 years on record.
Over the whole period, fish, seafood — other uses in Nepal peaked at 2 1000 t in 2016 and was at its lowest, 0 1000 t, in 2010.
That places Nepal 44th out of 148 countries with data for 2023, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Fish, Seafood — Other uses in Nepal, year by year
| Year | 1000 t | Change |
|---|---|---|
| 2010 | 0 1000 t | — |
| 2011 | 1 1000 t | — |
| 2012 | 1 1000 t | +0.0% |
| 2013 | 0 1000 t | -100.0% |
| 2014 | 0 1000 t | — |
| 2015 | 1 1000 t | — |
| 2016 | 2 1000 t | +100.0% |
| 2017 | 1 1000 t | -50.0% |
| 2018 | 0 1000 t | -100.0% |
| 2019 | 0 1000 t | — |
| 2020 | 0 1000 t | — |
| 2021 | 0 1000 t | — |
| 2022 | 0 1000 t | — |
| 2023 | 0 1000 t | — |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.6 1000 t | 0 1000 t | 2 1000 t | 10 |
| 2020s | 0 1000 t | 0 1000 t | 0 1000 t | 4 |
Countries ranked near Nepal
- 44 Tonga 0 1000 t
- 44 Qatar 0 1000 t
- 44 Bahrain 0 1000 t
- 44 Lesotho 0 1000 t
- 44 Sao Tome and Principe 0 1000 t compare
- 44 Afghanistan 0 1000 t
- 44 Mauritania 0 1000 t
- 44 China, Macao SAR 0 1000 t
- 44 Mongolia 0 1000 t
- 44 Saint Kitts and Nevis 0 1000 t compare
- 44 Libya 0 1000 t
- 44 Albania 0 1000 t
- 44 Kuwait 0 1000 t
- 44 Armenia 0 1000 t compare
- 44 Gabon 0 1000 t
- 44 Saint Vincent and the Grenadines 0 1000 t compare
- 44 Uzbekistan 0 1000 t
- 44 Eswatini 0 1000 t
- 44 Guyana 0 1000 t
- 44 Papua New Guinea 0 1000 t compare
- 44 Saudi Arabia 0 1000 t
- 44 Kyrgyzstan 0 1000 t
- 44 Iraq 0 1000 t
- 44 Angola 0 1000 t
- 44 Grenada 0 1000 t
- 44 Azerbaijan 0 1000 t
- 44 Seychelles 0 1000 t compare
- 44 Jordan 0 1000 t
- 44 Algeria 0 1000 t
- 44 North Macedonia 0 1000 t
- 44 Bosnia and Herzegovina 0 1000 t
- 44 Namibia 0 1000 t compare
- 44 Estonia 0 1000 t
- 44 Saint Lucia 0 1000 t
- 44 Lithuania 0 1000 t
- 44 Finland 0 1000 t
- 44 Luxembourg 0 1000 t
- 44 Belarus 0 1000 t
- 44 Myanmar 0 1000 t
- 44 Slovakia 0 1000 t compare
- 44 Ukraine 0 1000 t
- 44 Israel 0 1000 t compare
- 44 Rwanda 0 1000 t
- 44 Serbia 0 1000 t
- 44 Latvia 0 1000 t
- 44 Tunisia 0 1000 t
- 44 Norway 0 1000 t
- 44 Croatia 0 1000 t
- 44 Yemen 0 1000 t compare
- 44 Czechia 0 1000 t
- 44 Argentina 0 1000 t
- 44 Ireland 0 1000 t
- 44 Switzerland 0 1000 t
- 44 Zambia 0 1000 t
- 44 Dominican Republic 0 1000 t
- 44 El Salvador 0 1000 t
- 44 Slovenia 0 1000 t
- 44 Madagascar 0 1000 t
- 44 Lebanon 0 1000 t
- 44 Belgium 0 1000 t compare
- 44 Netherlands (Kingdom of the) 0 1000 t compare
- 44 Ghana 0 1000 t
- 44 Russian Federation 0 1000 t
- 44 Jamaica 0 1000 t
- 44 Poland 0 1000 t
- 44 Canada 0 1000 t
- 44 New Zealand 0 1000 t
- 44 Portugal 0 1000 t
- 44 Senegal 0 1000 t
- 44 Austria 0 1000 t
- 44 Sweden 0 1000 t
- 44 Trinidad and Tobago 0 1000 t
- 44 Ecuador 0 1000 t compare
- 44 Zimbabwe 0 1000 t
- 44 China, Hong Kong SAR 0 1000 t
- 44 Kazakhstan 0 1000 t
- 44 Cameroon 0 1000 t
- 44 Bangladesh 0 1000 t compare
- 44 Morocco 0 1000 t
- 44 China, Taiwan Province of 0 1000 t
- 44 Fiji 0 1000 t compare
- 44 Botswana 0 1000 t
- 44 France 0 1000 t compare
- 44 Cambodia 0 1000 t
- 44 Australia 0 1000 t
- 44 Nigeria 0 1000 t
- 44 Hungary 0 1000 t
- 44 Pakistan 0 1000 t
- 44 Uganda 0 1000 t
- 44 Philippines 0 1000 t
- 44 Germany 0 1000 t compare
- 44 South Africa 0 1000 t
- 44 Sri Lanka 0 1000 t
- 44 Italy 0 1000 t compare
- 44 Cyprus 0 1000 t compare
- 44 Costa Rica 0 1000 t
- 44 Honduras 0 1000 t
- 44 Thailand 0 1000 t compare
- 44 Mexico 0 1000 t compare
- 44 Colombia 0 1000 t
- 44 Egypt 0 1000 t
- 44 Australia and New Zealand 0 1000 t
- 44 Guatemala 0 1000 t compare
- 44 Kenya 0 1000 t
More agriculture & rural data for Nepal
- Agriculture, forestry, and fishing, value added (current US$), annual 4.5 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.2156 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 331.1 current US$ per person (2025)
- Rural population, annual growth rate -0.7937 % change on previous year (2025)
- Rural population, per unit of GDP 0.0002 units per US$ of GDP (2025)
- Rural population, per capita 0.33 units per person (2025)
- Agriculture share gdp 21.56 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 21.56 (2025)
- Agricultural raw materials exports 1.6% (2022)
- Agricultural raw materials imports 1.3% (2022)
Frequently asked questions
- What is fish, seafood — other uses in Nepal?
- Fish, seafood — other uses in Nepal was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest fish, seafood — other uses recorded in Nepal?
- The highest recorded value was 2 1000 t in 2016.
- What is the lowest fish, seafood — other uses recorded in Nepal?
- The lowest recorded value was 0 1000 t in 2010.
- How does Nepal rank for fish, seafood — other uses?
- Nepal ranks 44th out of 148 countries with data for 2023.
- Where does this Nepal data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Fish, Seafood — Other uses (non-food). 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.