Value Added (Agriculture, Forestry and Fishing) — Value Standard in Nepal
Nepal: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 834,572 million SLC in 2024. ▲ Rising
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
Nepal recorded 834,572 million SLC for value added (agriculture, forestry and fishing) — value standard in 2024. That is the highest value across all 55 years on record.
That represents a change of up 3.4% on the previous year and up 31.4% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Nepal peaked at 834,572 million SLC in 2024 and was at its lowest, 192,219 million SLC, in 1970.
Nepal ranks 44th of 191 countries on this measure, in the top quarter.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Nepal, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 192,219 million SLC | — |
| 1971 | 193,578 million SLC | +0.7% |
| 1972 | 194,992 million SLC | +0.7% |
| 1973 | 193,335 million SLC | -0.8% |
| 1974 | 204,218 million SLC | +5.6% |
| 1975 | 207,654 million SLC | +1.7% |
| 1976 | 208,823 million SLC | +0.6% |
| 1977 | 200,301 million SLC | -4.1% |
| 1978 | 200,301 million SLC | +0.0% |
| 1979 | 206,396 million SLC | +3.0% |
| 1980 | 196,561 million SLC | -4.8% |
| 1981 | 216,931 million SLC | +10.4% |
| 1982 | 226,819 million SLC | +4.6% |
| 1983 | 224,338 million SLC | -1.1% |
| 1984 | 245,733 million SLC | +9.5% |
| 1985 | 251,522 million SLC | +2.4% |
| 1986 | 258,318 million SLC | +2.7% |
| 1987 | 256,517 million SLC | -0.7% |
| 1988 | 273,336 million SLC | +6.6% |
| 1989 | 290,188 million SLC | +6.2% |
| 1990 | 306,919 million SLC | +5.8% |
| 1991 | 313,527 million SLC | +2.2% |
| 1992 | 310,190 million SLC | -1.1% |
| 1993 | 308,267 million SLC | -0.6% |
| 1994 | 331,705 million SLC | +7.6% |
| 1995 | 330,600 million SLC | -0.3% |
| 1996 | 343,199 million SLC | +3.8% |
| 1997 | 358,174 million SLC | +4.4% |
| 1998 | 361,226 million SLC | +0.9% |
| 1999 | 371,484 million SLC | +2.8% |
| 2000 | 389,662 million SLC | +4.9% |
| 2001 | 411,004 million SLC | +5.5% |
| 2002 | 423,866 million SLC | +3.1% |
| 2003 | 438,171 million SLC | +3.4% |
| 2004 | 459,456 million SLC | +4.9% |
| 2005 | 475,743 million SLC | +3.5% |
| 2006 | 484,439 million SLC | +1.8% |
| 2007 | 489,377 million SLC | +1.0% |
| 2008 | 518,115 million SLC | +5.9% |
| 2009 | 534,002 million SLC | +3.1% |
| 2010 | 544,992 million SLC | +2.1% |
| 2011 | 569,833 million SLC | +4.6% |
| 2012 | 599,977 million SLC | +5.3% |
| 2013 | 607,815 million SLC | +1.3% |
| 2014 | 635,086 million SLC | +4.5% |
| 2015 | 642,713 million SLC | +1.2% |
| 2016 | 642,171 million SLC | -0.1% |
| 2017 | 675,402 million SLC | +5.2% |
| 2018 | 693,025 million SLC | +2.6% |
| 2019 | 728,764 million SLC | +5.2% |
| 2020 | 746,484 million SLC | +2.4% |
| 2021 | 767,749 million SLC | +2.8% |
| 2022 | 785,803 million SLC | +2.4% |
| 2023 | 807,507 million SLC | +2.8% |
| 2024 | 834,572 million SLC | +3.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 200,182 million SLC | 192,219 million SLC | 208,823 million SLC | 10 |
| 1980s | 244,026 million SLC | 196,561 million SLC | 290,188 million SLC | 10 |
| 1990s | 333,529 million SLC | 306,919 million SLC | 371,484 million SLC | 10 |
| 2000s | 462,384 million SLC | 389,662 million SLC | 534,002 million SLC | 10 |
| 2010s | 633,978 million SLC | 544,992 million SLC | 728,764 million SLC | 10 |
| 2020s | 788,423 million SLC | 746,484 million SLC | 834,572 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)
- Wood-based panels — Import quantity, annual growth rate -42.76 % change on previous year (2024)
- Wood-based panels — Import quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
- Wood-based panels — Import quantity, per capita 0.0006 m3 per person (2024)
- Wood-based panels — Import value, annual growth rate -10.42 % change on previous year (2024)
- Wood-based panels — Import value, per unit of GDP 0 1000 USD per US$ of GDP (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 834,572 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 834,572 million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Nepal?
- The lowest recorded value was 192,219 million SLC in 1970.
- How does Nepal rank for value added (agriculture, forestry and fishing) — value standard?
- Nepal ranks 44th out of 191 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 31.4%. The long-run trend across the full record is rising.
- 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, 2015 prices. 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).