Value Added (Agriculture, Forestry and Fishing) — Value Standard in Nepal
Nepal: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 1.24 million million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Nepal, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
The most recent figure for value added (agriculture, forestry and fishing) — value standard in Nepal is 1.24 million million SLC, measured in 2024. That is the highest value across all 55 years on record.
Compared with earlier readings it is up 9.2% on the previous year and up 101.9% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Nepal peaked at 1.24 million million SLC in 2024 and was at its lowest, 7,012 million SLC, in 1970.
That places Nepal 48th out of 199 countries with data for 2024, putting it in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Nepal, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 7,012 million SLC | — |
| 1971 | 7,145 million SLC | +1.9% |
| 1972 | 8,414 million SLC | +17.8% |
| 1973 | 7,789 million SLC | -7.4% |
| 1974 | 10,480 million SLC | +34.6% |
| 1975 | 11,781 million SLC | +12.4% |
| 1976 | 11,842 million SLC | +0.5% |
| 1977 | 10,703 million SLC | -9.6% |
| 1978 | 11,967 million SLC | +11.8% |
| 1979 | 13,769 million SLC | +15.1% |
| 1980 | 13,929 million SLC | +1.2% |
| 1981 | 15,979 million SLC | +14.7% |
| 1982 | 18,250 million SLC | +14.2% |
| 1983 | 19,659 million SLC | +7.7% |
| 1984 | 23,252 million SLC | +18.3% |
| 1985 | 23,449 million SLC | +0.8% |
| 1986 | 27,956 million SLC | +19.2% |
| 1987 | 31,549 million SLC | +12.9% |
| 1988 | 37,866 million SLC | +20.0% |
| 1989 | 43,859 million SLC | +15.8% |
| 1990 | 51,996 million SLC | +18.6% |
| 1991 | 57,042 million SLC | +9.7% |
| 1992 | 67,125 million SLC | +17.7% |
| 1993 | 72,209 million SLC | +7.6% |
| 1994 | 83,025 million SLC | +15.0% |
| 1995 | 88,156 million SLC | +6.2% |
| 1996 | 99,825 million SLC | +13.2% |
| 1997 | 112,073 million SLC | +12.3% |
| 1998 | 115,895 million SLC | +3.4% |
| 1999 | 136,374 million SLC | +17.7% |
| 2000 | 149,518 million SLC | +9.6% |
| 2001 | 155,625 million SLC | +4.1% |
| 2002 | 166,165 million SLC | +6.8% |
| 2003 | 172,960 million SLC | +4.1% |
| 2004 | 186,379 million SLC | +7.8% |
| 2005 | 199,731 million SLC | +7.2% |
| 2006 | 212,185 million SLC | +6.2% |
| 2007 | 227,442 million SLC | +7.2% |
| 2008 | 247,978 million SLC | +9.0% |
| 2009 | 310,680 million SLC | +25.3% |
| 2010 | 397,376 million SLC | +27.9% |
| 2011 | 480,326 million SLC | +20.9% |
| 2012 | 528,851 million SLC | +10.1% |
| 2013 | 557,940 million SLC | +5.5% |
| 2014 | 613,094 million SLC | +9.9% |
| 2015 | 642,713 million SLC | +4.8% |
| 2016 | 665,553 million SLC | +3.6% |
| 2017 | 729,269 million SLC | +9.6% |
| 2018 | 771,875 million SLC | +5.8% |
| 2019 | 832,887 million SLC | +7.9% |
| 2020 | 862,518 million SLC | +3.6% |
| 2021 | 958,495 million SLC | +11.1% |
| 2022 | 1.04 million million SLC | +8.6% |
| 2023 | 1.13 million million SLC | +8.9% |
| 2024 | 1.24 million million SLC | +9.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 10,090 million SLC | 7,012 million SLC | 13,769 million SLC | 10 |
| 1980s | 25,575 million SLC | 13,929 million SLC | 43,859 million SLC | 10 |
| 1990s | 88,372 million SLC | 51,996 million SLC | 136,374 million SLC | 10 |
| 2000s | 202,866 million SLC | 149,518 million SLC | 310,680 million SLC | 10 |
| 2010s | 621,988 million SLC | 397,376 million SLC | 832,887 million SLC | 10 |
| 2020s | 1.05 million million SLC | 862,518 million SLC | 1.24 million million SLC | 5 |
Countries ranked near Nepal
More environment data for Nepal
- 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)
- Other paper and paperboard — Import quantity, annual growth rate 7.3 % change on previous year (2024)
- Other paper and paperboard — Import quantity, per capita 0.0008 t per person (2024)
- Other paper and paperboard — Import value, annual growth rate -1.79 % change on previous year (2024)
- Other paper and paperboard — Import value, per capita 0.001 1000 USD per person (2024)
- Other paper and paperboard, not elsewhere specified — Import -55.88 % change on previous year (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Nepal?
- Value added (agriculture, forestry and fishing) — value standard in Nepal was 1.24 million million SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — value standard recorded in Nepal?
- The highest recorded value was 1.24 million million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Nepal?
- The lowest recorded value was 7,012 million SLC in 1970.
- How does Nepal rank for value added (agriculture, forestry and fishing) — value standard?
- Nepal ranks 48th out of 199 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Nepal?
- Over the last ten years it is up 101.9%. 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 Standard Local Currency. 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).