Jute, raw or retted — Gross Production Value in Nepal
Nepal: Jute, raw or retted — Gross Production Value was 4,769 1000 Int$ in 2024. ◆ Volatile
Latest (2024)
4,769 1000 Int$
Change on year
up 0.2%
World rank
5th
of 22 countries
All-time high
31,501 1000 Int$
in 1980
All-time low
4,666 1000 Int$
in 1993
Years of data
64
1961–2024
Jute, raw or retted — Gross Production Value in Nepal, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
Nepal recorded 4,769 1000 Int$ for jute, raw or retted — gross production value in 2024.
The figure is up 0.2% on the previous year and down 31.4% over ten years.
Over the whole period, jute, raw or retted — gross production value in Nepal peaked at 31,501 1000 Int$ in 1980 and was at its lowest, 4,666 1000 Int$, in 1993.
Nepal ranks 5th of 22 countries on this measure, in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Jute, raw or retted — Gross Production Value in Nepal, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 14,931 1000 Int$ | — |
| 1962 | 15,864 1000 Int$ | +6.2% |
| 1963 | 17,234 1000 Int$ | +8.6% |
| 1964 | 16,663 1000 Int$ | -3.3% |
| 1965 | 18,109 1000 Int$ | +8.7% |
| 1966 | 18,073 1000 Int$ | -0.2% |
| 1967 | 17,730 1000 Int$ | -1.9% |
| 1968 | 21,463 1000 Int$ | +21.1% |
| 1969 | 20,063 1000 Int$ | -6.5% |
| 1970 | 22,863 1000 Int$ | +14.0% |
| 1971 | 24,729 1000 Int$ | +8.2% |
| 1972 | 27,090 1000 Int$ | +9.5% |
| 1973 | 25,872 1000 Int$ | -4.5% |
| 1974 | 18,729 1000 Int$ | -27.6% |
| 1975 | 19,294 1000 Int$ | +3.0% |
| 1976 | 19,130 1000 Int$ | -0.9% |
| 1977 | 20,996 1000 Int$ | +9.8% |
| 1978 | 26,036 1000 Int$ | +24.0% |
| 1979 | 30,585 1000 Int$ | +17.5% |
| 1980 | 31,501 1000 Int$ | +3.0% |
| 1981 | 27,661 1000 Int$ | -12.2% |
| 1982 | 19,906 1000 Int$ | -28.0% |
| 1983 | 18,215 1000 Int$ | -8.5% |
| 1984 | 11,687 1000 Int$ | -35.8% |
| 1985 | 15,455 1000 Int$ | +32.2% |
| 1986 | 28,509 1000 Int$ | +84.5% |
| 1987 | 10,941 1000 Int$ | -61.6% |
| 1988 | 7,372 1000 Int$ | -32.6% |
| 1989 | 8,223 1000 Int$ | +11.5% |
| 1990 | 7,489 1000 Int$ | -8.9% |
| 1991 | 7,465 1000 Int$ | -0.3% |
| 1992 | 8,865 1000 Int$ | +18.8% |
| 1993 | 4,666 1000 Int$ | -47.4% |
| 1994 | 5,132 1000 Int$ | +10.0% |
| 1995 | 5,457 1000 Int$ | +6.3% |
| 1996 | 6,975 1000 Int$ | +27.8% |
| 1997 | 6,532 1000 Int$ | -6.4% |
| 1998 | 7,253 1000 Int$ | +11.0% |
| 1999 | 7,090 1000 Int$ | -2.2% |
| 2000 | 7,080 1000 Int$ | -0.1% |
| 2001 | 7,648 1000 Int$ | +8.0% |
| 2002 | 7,911 1000 Int$ | +3.4% |
| 2003 | 7,949 1000 Int$ | +0.5% |
| 2004 | 7,881 1000 Int$ | -0.9% |
| 2005 | 8,240 1000 Int$ | +4.6% |
| 2006 | 7,979 1000 Int$ | -3.2% |
| 2007 | 7,846 1000 Int$ | -1.7% |
| 2008 | 7,926 1000 Int$ | +1.0% |
| 2009 | 8,239 1000 Int$ | +3.9% |
| 2010 | 9,782 1000 Int$ | +18.7% |
| 2011 | 6,727 1000 Int$ | -31.2% |
| 2012 | 6,730 1000 Int$ | +0.0% |
| 2013 | 7,232 1000 Int$ | +7.5% |
| 2014 | 6,947 1000 Int$ | -3.9% |
| 2015 | 5,854 1000 Int$ | -15.7% |
| 2016 | 5,428 1000 Int$ | -7.3% |
| 2017 | 5,424 1000 Int$ | -0.1% |
| 2018 | 5,207 1000 Int$ | -4.0% |
| 2019 | 4,936 1000 Int$ | -5.2% |
| 2020 | 4,743 1000 Int$ | -3.9% |
| 2021 | 4,876 1000 Int$ | +2.8% |
| 2022 | 4,767 1000 Int$ | -2.2% |
| 2023 | 4,761 1000 Int$ | -0.1% |
| 2024 | 4,769 1000 Int$ | +0.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 17,792 1000 Int$ | 14,931 1000 Int$ | 21,463 1000 Int$ | 9 |
| 1970s | 23,532 1000 Int$ | 18,729 1000 Int$ | 30,585 1000 Int$ | 10 |
| 1980s | 17,947 1000 Int$ | 7,372 1000 Int$ | 31,501 1000 Int$ | 10 |
| 1990s | 6,692 1000 Int$ | 4,666 1000 Int$ | 8,865 1000 Int$ | 10 |
| 2000s | 7,870 1000 Int$ | 7,080 1000 Int$ | 8,240 1000 Int$ | 10 |
| 2010s | 6,427 1000 Int$ | 4,936 1000 Int$ | 9,782 1000 Int$ | 10 |
| 2020s | 4,783 1000 Int$ | 4,743 1000 Int$ | 4,876 1000 Int$ | 5 |
Countries ranked near Nepal
- 2 India 659,005 1000 Int$ compare
- 3 Cambodia 71,536 1000 Int$ compare
- 4 Uzbekistan 8,931 1000 Int$ compare
- 6 China 4,494 1000 Int$ compare
- 6 China, mainland 4,494 1000 Int$ compare
- 8 South Sudan 1,741 1000 Int$ 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)
- 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 jute, raw or retted — gross production value in Nepal?
- Jute, raw or retted — gross production value in Nepal was 4,769 1000 Int$ in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest jute, raw or retted — gross production value recorded in Nepal?
- The highest recorded value was 31,501 1000 Int$ in 1980.
- What is the lowest jute, raw or retted — gross production value recorded in Nepal?
- The lowest recorded value was 4,666 1000 Int$ in 1993.
- How does Nepal rank for jute, raw or retted — gross production value?
- Nepal ranks 5th out of 22 countries with data for 2024.
- Is jute, raw or retted — gross production value rising or falling in Nepal?
- Over the last ten years it is down 31.4%. 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 Jute, raw or retted — Gross Production Value (constant 2014-2016 thousand I$). Statizoid updates them automatically from the source API.
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About this data
The domain provides detailed data on the value of agricultural production that is calculated by the agricultural production data and the price data at farm gate. Thus, the value of production measures the agricultural production in monetary terms at the farm gate level.