Value Added (Agriculture, Forestry and Fishing) — Value US$ in Nepal
Nepal: Value Added (Agriculture, Forestry and Fishing) — Value US$ was 9,258 million USD in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value US$ in Nepal, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
Nepal recorded 9,258 million USD for value added (agriculture, forestry and fishing) — value us$ in 2024. That is the highest value across all 55 years on record.
That represents a change of up 7.9% on the previous year and up 47.3% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value us$ in Nepal peaked at 9,258 million USD in 2024 and was at its lowest, 692.57 million USD, in 1970.
That places Nepal 65th out of 233 countries with data for 2024, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added (Agriculture, Forestry and Fishing) — Value US$ in Nepal, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 692.57 million USD | — |
| 1971 | 705.67 million USD | +1.9% |
| 1972 | 831.04 million USD | +17.8% |
| 1973 | 741.8 million USD | -10.7% |
| 1974 | 992.47 million USD | +33.8% |
| 1975 | 1,071 million USD | +7.9% |
| 1976 | 947.4 million USD | -11.5% |
| 1977 | 856.24 million USD | -9.6% |
| 1978 | 988.16 million USD | +15.4% |
| 1979 | 1,147 million USD | +16.1% |
| 1980 | 1,161 million USD | +1.2% |
| 1981 | 1,295 million USD | +11.6% |
| 1982 | 1,378 million USD | +6.4% |
| 1983 | 1,352 million USD | -1.9% |
| 1984 | 1,413 million USD | +4.5% |
| 1985 | 1,285 million USD | -9.0% |
| 1986 | 1,317 million USD | +2.5% |
| 1987 | 1,446 million USD | +9.8% |
| 1988 | 1,626 million USD | +12.4% |
| 1989 | 1,613 million USD | -0.8% |
| 1990 | 1,770 million USD | +9.8% |
| 1991 | 1,531 million USD | -13.5% |
| 1992 | 1,571 million USD | +2.6% |
| 1993 | 1,486 million USD | -5.5% |
| 1994 | 1,681 million USD | +13.1% |
| 1995 | 1,699 million USD | +1.1% |
| 1996 | 1,761 million USD | +3.6% |
| 1997 | 1,932 million USD | +9.7% |
| 1998 | 1,757 million USD | -9.1% |
| 1999 | 1,998 million USD | +13.8% |
| 2000 | 2,103 million USD | +5.2% |
| 2001 | 2,076 million USD | -1.3% |
| 2002 | 2,134 million USD | +2.8% |
| 2003 | 2,272 million USD | +6.5% |
| 2004 | 2,530 million USD | +11.4% |
| 2005 | 2,799 million USD | +10.6% |
| 2006 | 2,916 million USD | +4.2% |
| 2007 | 3,425 million USD | +17.4% |
| 2008 | 3,555 million USD | +3.8% |
| 2009 | 4,005 million USD | +12.7% |
| 2010 | 5,424 million USD | +35.4% |
| 2011 | 6,489 million USD | +19.6% |
| 2012 | 6,205 million USD | -4.4% |
| 2013 | 5,994 million USD | -3.4% |
| 2014 | 6,285 million USD | +4.8% |
| 2015 | 6,276 million USD | -0.1% |
| 2016 | 6,198 million USD | -1.2% |
| 2017 | 6,978 million USD | +12.6% |
| 2018 | 7,086 million USD | +1.5% |
| 2019 | 7,396 million USD | +4.4% |
| 2020 | 7,288 million USD | -1.5% |
| 2021 | 8,114 million USD | +11.3% |
| 2022 | 8,313 million USD | +2.5% |
| 2023 | 8,578 million USD | +3.2% |
| 2024 | 9,258 million USD | +7.9% |
Nepal compared with similar countries
- Nepal's 9,258 million USD is above the median for lower middle income countries, which is 4,171 million USD, 2.2× the median. (44 countries reporting)
- Nepal's 9,258 million USD is above the median for South Asia, which is 8,867 million USD, 1.0× the median. (6 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 897.34 million USD | 692.57 million USD | 1,147 million USD | 10 |
| 1980s | 1,389 million USD | 1,161 million USD | 1,626 million USD | 10 |
| 1990s | 1,719 million USD | 1,486 million USD | 1,998 million USD | 10 |
| 2000s | 2,781 million USD | 2,076 million USD | 4,005 million USD | 10 |
| 2010s | 6,433 million USD | 5,424 million USD | 7,396 million USD | 10 |
| 2020s | 8,310 million USD | 7,288 million USD | 9,258 million USD | 5 |
Countries ranked near Nepal
More environment data for Nepal
- Grazing land use over the long-term, annual growth rate 0 % change on previous year (2025)
- Grazing land use over the long-term, per unit of GDP 0 hectares per US$ of GDP (2025)
- Grazing land use over the long-term, per capita 0.0606 hectares per person (2025)
- Historical exposure to drought — Land soil moisture anomaly 2.73 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 2.41 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.265 °C (2025)
- Temperature change 1.43 °C (2025)
- Grazing land use over the long-term, per square kilometre 12.52 hectares per square kilometre (2024)
- Sawnwood, coniferous — Production, annual growth rate 0 % change on previous year (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value us$ in Nepal?
- Value added (agriculture, forestry and fishing) — value us$ in Nepal was 9,258 million USD in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — value us$ recorded in Nepal?
- The highest recorded value was 9,258 million USD in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value us$ recorded in Nepal?
- The lowest recorded value was 692.57 million USD in 1970.
- How does Nepal rank for value added (agriculture, forestry and fishing) — value us$?
- Nepal ranks 65th out of 233 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$ rising or falling in Nepal?
- Over the last ten years it is up 47.3%. 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 Value Added (Agriculture, Forestry and Fishing) — Value US$. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 55 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
The FAOSTAT Macro Indicators database provides a selection of country-level macro indicators relating to total economy (Gross Domestic Product, Gross Fixed Capital Formation); agriculture activity; agriculture, forestry and fishing activity; total manufacturing activity; manufacturing of food products and beverages activity; manufacturing activity of tobacco products; and manufacturing activity of food, beverage and tobacco products.It releases time series for a selection of National Accounts variables, including gross domestic product, gross fixed capital formation, industry-level value added and gross output. The database also proposes additional indicators such as gross domestic product per capita, year-on-year growth rates and measures of industry contribution to gross domestic product. All data relating to Gross Domestic Product, Gross Fixed Capital Formation, agriculture, forestry and fishing activity, and to total manufacturing activity originates from the United Nations Statistics Division (UNSD) National Accounts Estimates of Main Aggregates database, which consists of a complete and consistent set of time series of the main National Accounts aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official National Accounts data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information (See http://unstats.un.org/unsd/snaama/Introduction.asp). Data series relating to the sub-industry Agriculture activity are obtained from the UNSD national accounts Official Country Data databases while series on the Manufacturing activity of food and beverages products, manufacturing activity of tobacco products and manufacturing activity of food, beverages and tobacco products originates from the United Nations Industrial Development Organization (UNIDO) INDSTAT2 database. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), UNIDO originating series are rescaled on UNSD National Accounts Estimates of Main Aggregates data series (See Section 17.5 for a more detailed description of the data processing steps).