Starchy Roots — Stock Variation in Nepal
Nepal: Starchy Roots — Stock Variation was 0 1000 t in 2023. ◆ Volatile
Starchy Roots — Stock Variation in Nepal, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
In 2023, starchy roots — stock variation in Nepal stood at 0 1000 t.
The figure is down 100.0% on the previous year and down 100.0% over ten years.
Over the whole period, starchy roots — stock variation in Nepal peaked at 260 1000 t in 2021 and was at its lowest, -98 1000 t, in 2015.
That places Nepal 84th out of 194 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.
Starchy Roots — Stock Variation in Nepal, year by year
| Year | 1000 t | Change |
|---|---|---|
| 2010 | -80 1000 t | — |
| 2011 | -71 1000 t | -11.2% |
| 2012 | -1 1000 t | -98.6% |
| 2013 | 48 1000 t | -4900.0% |
| 2014 | 97 1000 t | +102.1% |
| 2015 | -98 1000 t | -201.0% |
| 2016 | 119 1000 t | -221.4% |
| 2017 | 7 1000 t | -94.1% |
| 2018 | 229 1000 t | +3171.4% |
| 2019 | 225 1000 t | -1.7% |
| 2020 | 130 1000 t | -42.2% |
| 2021 | 260 1000 t | +100.0% |
| 2022 | 121 1000 t | -53.5% |
| 2023 | 0 1000 t | -100.0% |
Biggest year-on-year movements
Years where Starchy Roots — Stock Variation in Nepal changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 2013 | +4900.0% | -1 1000 t | 48 1000 t |
| 2018 | +3171.4% | 7 1000 t | 229 1000 t |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 47.5 1000 t | -98 1000 t | 229 1000 t | 10 |
| 2020s | 127.75 1000 t | 0 1000 t | 260 1000 t | 4 |
Countries ranked near Nepal
- 84 Nauru 0 1000 t
- 84 Micronesia (Federated States of) 0 1000 t
- 84 Tuvalu 0 1000 t
- 84 Marshall Islands 0 1000 t
- 84 Tonga 0 1000 t compare
- 84 Bhutan 0 1000 t compare
- 84 Cuba 0 1000 t compare
- 84 Comoros 0 1000 t compare
- 84 Kiribati 0 1000 t
- 84 Liberia 0 1000 t compare
- 84 China, Macao SAR 0 1000 t compare
- 84 Saint Kitts and Nevis 0 1000 t
- 84 Sao Tome and Principe 0 1000 t compare
- 84 Cabo Verde 0 1000 t compare
- 84 Micronesia 0 1000 t
- 84 Djibouti 0 1000 t compare
- 84 French Polynesia 0 1000 t compare
- 84 Suriname 0 1000 t compare
- 84 Grenada 0 1000 t compare
- 84 Gabon 0 1000 t compare
- 84 Vanuatu 0 1000 t compare
- 84 Bahamas 0 1000 t compare
- 84 Congo 0 1000 t compare
- 84 Guyana 0 1000 t compare
- 84 Libya 0 1000 t compare
- 84 Saint Lucia 0 1000 t compare
- 84 Kuwait 0 1000 t compare
- 84 Costa Rica 0 1000 t compare
- 84 Turkmenistan 0 1000 t compare
- 84 Mauritius 0 1000 t compare
- 84 Guinea-Bissau 0 1000 t compare
- 84 Jordan 0 1000 t compare
- 84 Seychelles 0 1000 t
- 84 Fiji 0 1000 t compare
- 84 Trinidad and Tobago 0 1000 t compare
- 84 Panama 0 1000 t compare
- 84 Paraguay 0 1000 t
- 84 Antigua and Barbuda 0 1000 t compare
- 84 Papua New Guinea 0 1000 t compare
- 84 El Salvador 0 1000 t compare
- 84 Malta 0 1000 t compare
- 84 Iran (Islamic Republic of) 0 1000 t compare
- 84 Venezuela (Bolivarian Republic of) 0 1000 t
- 84 Armenia 0 1000 t compare
- 84 Latvia 0 1000 t compare
- 84 New Caledonia 0 1000 t compare
- 84 Syrian Arab Republic 0 1000 t compare
- 84 New Zealand 0 1000 t compare
- 84 Luxembourg 0 1000 t compare
- 84 Serbia 0 1000 t compare
- 84 Republic of Moldova 0 1000 t compare
- 84 Austria 0 1000 t compare
- 84 Hungary 0 1000 t compare
- 84 Botswana 0 1000 t compare
- 84 Sri Lanka 0 1000 t compare
- 84 Rwanda 0 1000 t compare
- 84 Uganda 0 1000 t
- 84 Australia and New Zealand 0 1000 t compare
- 84 Nauru 0 1000 t
- 84 Syria 0 1000 t compare
- 84 Moldova 0 1000 t compare
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)
- Share of GDP from agriculture 21.6% (2025)
- Agriculture as a share of GDP vs. GDP per capita 21.6% (2025)
- Agricultural raw materials exports 1.6% (2022)
- Agricultural raw materials imports 1.3% (2022)
Frequently asked questions
- What is starchy roots — stock variation in Nepal?
- Starchy roots — stock variation in Nepal was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest starchy roots — stock variation recorded in Nepal?
- The highest recorded value was 260 1000 t in 2021.
- What is the lowest starchy roots — stock variation recorded in Nepal?
- The lowest recorded value was -98 1000 t in 2015.
- How does Nepal rank for starchy roots — stock variation?
- Nepal ranks 84th out of 194 countries with data for 2023.
- Is starchy roots — stock variation rising or falling in Nepal?
- Over the last ten years it is down 100.0%. The long-run trend across the full record is volatile.
- Where does this Nepal data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Starchy Roots — 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.