Kenaf, and other textile bast fibres, raw or retted — Gross in Indonesia
Indonesia: Kenaf, and other textile bast fibres, raw or retted — Gross was 2,046 1000 Int$ in 2024. ◆ Volatile
Latest (2024)
2,046 1000 Int$
Change on year
unchanged
World rank
11th
of 26 countries
All-time high
13,894 1000 Int$
in 1987
All-time low
1,994 1000 Int$
in 2015
Years of data
64
1961–2024
Kenaf, and other textile bast fibres, raw or retted — Gross in Indonesia, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
The most recent figure for kenaf, and other textile bast fibres, raw or retted — gross in Indonesia is 2,046 1000 Int$, measured in 2024.
The figure is up 0.2% over ten years.
Over the whole period, kenaf, and other textile bast fibres, raw or retted — gross in Indonesia peaked at 13,894 1000 Int$ in 1987 and was at its lowest, 1,994 1000 Int$, in 2015.
Indonesia ranks 11th of 26 countries on this measure, in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Kenaf, and other textile bast fibres, raw or retted — Gross in Indonesia, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 2,455 1000 Int$ | — |
| 1962 | 2,455 1000 Int$ | +0.0% |
| 1963 | 2,455 1000 Int$ | +0.0% |
| 1964 | 3,068 1000 Int$ | +25.0% |
| 1965 | 3,068 1000 Int$ | +0.0% |
| 1966 | 5,155 1000 Int$ | +68.0% |
| 1967 | 9,635 1000 Int$ | +86.9% |
| 1968 | 7,732 1000 Int$ | -19.8% |
| 1969 | 10,371 1000 Int$ | +34.1% |
| 1970 | 9,580 1000 Int$ | -7.6% |
| 1971 | 4,652 1000 Int$ | -51.4% |
| 1972 | 5,094 1000 Int$ | +9.5% |
| 1973 | 8,546 1000 Int$ | +67.8% |
| 1974 | 9,819 1000 Int$ | +14.9% |
| 1975 | 11,169 1000 Int$ | +13.7% |
| 1976 | 10,721 1000 Int$ | -4.0% |
| 1977 | 4,808 1000 Int$ | -55.2% |
| 1978 | 4,426 1000 Int$ | -7.9% |
| 1979 | 9,519 1000 Int$ | +115.1% |
| 1980 | 8,983 1000 Int$ | -5.6% |
| 1981 | 9,385 1000 Int$ | +4.5% |
| 1982 | 10,607 1000 Int$ | +13.0% |
| 1983 | 9,813 1000 Int$ | -7.5% |
| 1984 | 3,944 1000 Int$ | -59.8% |
| 1985 | 12,394 1000 Int$ | +214.2% |
| 1986 | 13,698 1000 Int$ | +10.5% |
| 1987 | 13,894 1000 Int$ | +1.4% |
| 1988 | 8,250 1000 Int$ | -40.6% |
| 1989 | 5,935 1000 Int$ | -28.1% |
| 1990 | 5,586 1000 Int$ | -5.9% |
| 1991 | 6,291 1000 Int$ | +12.6% |
| 1992 | 8,620 1000 Int$ | +37.0% |
| 1993 | 4,569 1000 Int$ | -47.0% |
| 1994 | 5,566 1000 Int$ | +21.8% |
| 1995 | 2,610 1000 Int$ | -53.1% |
| 1996 | 2,111 1000 Int$ | -19.1% |
| 1997 | 2,337 1000 Int$ | +10.7% |
| 1998 | 4,439 1000 Int$ | +89.9% |
| 1999 | 4,603 1000 Int$ | +3.7% |
| 2000 | 5,244 1000 Int$ | +13.9% |
| 2001 | 5,120 1000 Int$ | -2.4% |
| 2002 | 4,590 1000 Int$ | -10.4% |
| 2003 | 2,438 1000 Int$ | -46.9% |
| 2004 | 2,463 1000 Int$ | +1.0% |
| 2005 | 2,487 1000 Int$ | +1.0% |
| 2006 | 2,639 1000 Int$ | +6.1% |
| 2007 | 2,884 1000 Int$ | +9.3% |
| 2008 | 2,516 1000 Int$ | -12.8% |
| 2009 | 2,393 1000 Int$ | -4.9% |
| 2010 | 2,327 1000 Int$ | -2.8% |
| 2011 | 2,349 1000 Int$ | +0.9% |
| 2012 | 2,300 1000 Int$ | -2.1% |
| 2013 | 2,212 1000 Int$ | -3.8% |
| 2014 | 2,042 1000 Int$ | -7.7% |
| 2015 | 1,994 1000 Int$ | -2.4% |
| 2016 | 2,083 1000 Int$ | +4.5% |
| 2017 | 2,040 1000 Int$ | -2.1% |
| 2018 | 2,039 1000 Int$ | -0.0% |
| 2019 | 2,054 1000 Int$ | +0.7% |
| 2020 | 2,044 1000 Int$ | -0.5% |
| 2021 | 2,046 1000 Int$ | +0.1% |
| 2022 | 2,048 1000 Int$ | +0.1% |
| 2023 | 2,046 1000 Int$ | -0.1% |
| 2024 | 2,046 1000 Int$ | +0.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 5,155 1000 Int$ | 2,455 1000 Int$ | 10,371 1000 Int$ | 9 |
| 1970s | 7,833 1000 Int$ | 4,426 1000 Int$ | 11,169 1000 Int$ | 10 |
| 1980s | 9,690 1000 Int$ | 3,944 1000 Int$ | 13,894 1000 Int$ | 10 |
| 1990s | 4,673 1000 Int$ | 2,111 1000 Int$ | 8,620 1000 Int$ | 10 |
| 2000s | 3,277 1000 Int$ | 2,393 1000 Int$ | 5,244 1000 Int$ | 10 |
| 2010s | 2,144 1000 Int$ | 1,994 1000 Int$ | 2,349 1000 Int$ | 10 |
| 2020s | 2,046 1000 Int$ | 2,044 1000 Int$ | 2,048 1000 Int$ | 5 |
Countries ranked near Indonesia
More agriculture & rural data for Indonesia
- Agriculture, forestry, and fishing, value added (current US$), annual 7.56 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.131 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 662.79 current US$ per person (2025)
- Rural population, annual growth rate -0.7808 % change on previous year (2025)
- Rural population, per unit of GDP 0.0001 units per US$ of GDP (2025)
- Rural population, per capita 0.4061 units per person (2025)
- Share of GDP from agriculture 13.1% (2025)
- Agriculture as a share of GDP vs. GDP per capita 13.1% (2025)
- Agricultural raw materials exports 3.7% (2025)
- Agricultural raw materials imports 1.9% (2025)
Frequently asked questions
- What is kenaf, and other textile bast fibres, raw or retted — gross in Indonesia?
- Kenaf, and other textile bast fibres, raw or retted — gross in Indonesia was 2,046 1000 Int$ in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest kenaf, and other textile bast fibres, raw or retted — gross recorded in Indonesia?
- The highest recorded value was 13,894 1000 Int$ in 1987.
- What is the lowest kenaf, and other textile bast fibres, raw or retted — gross recorded in Indonesia?
- The lowest recorded value was 1,994 1000 Int$ in 2015.
- How does Indonesia rank for kenaf, and other textile bast fibres, raw or retted — gross?
- Indonesia ranks 11th out of 26 countries with data for 2024.
- Is kenaf, and other textile bast fibres, raw or retted — gross rising or falling in Indonesia?
- Over the last ten years it is up 0.2%. The long-run trend across the full record is volatile.
- Where does this Indonesia data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Kenaf, and other textile bast fibres, raw or retted — Gross Production Value (constant 2014-2016 thousand I$). Statizoid updates them automatically from the source API.
Download this data
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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.