Kenaf, and other textile bast fibres, raw or retted — Gross in Brazil
Brazil: Kenaf, and other textile bast fibres, raw or retted — Gross was 2,790 1000 Int$ in 2024. ◆ Volatile
Kenaf, and other textile bast fibres, raw or retted — Gross in Brazil, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
The most recent figure for kenaf, and other textile bast fibres, raw or retted — gross in Brazil is 2,790 1000 Int$, measured in 2024.
Compared with earlier readings it is up 48.7% on the previous year and down 44.1% over ten years.
Over the whole period, kenaf, and other textile bast fibres, raw or retted — gross in Brazil peaked at 37,183 1000 Int$ in 1976 and was at its lowest, 1,565 1000 Int$, in 2019.
That places Brazil 9th out of 26 countries with data for 2024, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Kenaf, and other textile bast fibres, raw or retted — Gross in Brazil, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 8,057 1000 Int$ | — |
| 1962 | 8,071 1000 Int$ | +0.2% |
| 1963 | 8,066 1000 Int$ | -0.1% |
| 1964 | 7,789 1000 Int$ | -3.4% |
| 1965 | 9,635 1000 Int$ | +23.7% |
| 1966 | 10,556 1000 Int$ | +9.6% |
| 1967 | 8,510 1000 Int$ | -19.4% |
| 1968 | 9,358 1000 Int$ | +10.0% |
| 1969 | 7,983 1000 Int$ | -14.7% |
| 1970 | 9,188 1000 Int$ | +15.1% |
| 1971 | 8,146 1000 Int$ | -11.3% |
| 1972 | 16,524 1000 Int$ | +102.8% |
| 1973 | 21,041 1000 Int$ | +27.3% |
| 1974 | 18,085 1000 Int$ | -14.0% |
| 1975 | 27,713 1000 Int$ | +53.2% |
| 1976 | 37,183 1000 Int$ | +34.2% |
| 1977 | 35,013 1000 Int$ | -5.8% |
| 1978 | 37,015 1000 Int$ | +5.7% |
| 1979 | 31,563 1000 Int$ | -14.7% |
| 1980 | 30,716 1000 Int$ | -2.7% |
| 1981 | 35,758 1000 Int$ | +16.4% |
| 1982 | 27,601 1000 Int$ | -22.8% |
| 1983 | 29,679 1000 Int$ | +7.5% |
| 1984 | 32,984 1000 Int$ | +11.1% |
| 1985 | 25,934 1000 Int$ | -21.4% |
| 1986 | 21,994 1000 Int$ | -15.2% |
| 1987 | 28,315 1000 Int$ | +28.7% |
| 1988 | 32,493 1000 Int$ | +14.8% |
| 1989 | 19,474 1000 Int$ | -40.1% |
| 1990 | 11,359 1000 Int$ | -41.7% |
| 1991 | 7,140 1000 Int$ | -37.1% |
| 1992 | 11,936 1000 Int$ | +67.2% |
| 1993 | 10,487 1000 Int$ | -12.1% |
| 1994 | 9,946 1000 Int$ | -5.2% |
| 1995 | 6,168 1000 Int$ | -38.0% |
| 1996 | 2,458 1000 Int$ | -60.1% |
| 1997 | 2,200 1000 Int$ | -10.5% |
| 1998 | 4,650 1000 Int$ | +111.4% |
| 1999 | 4,007 1000 Int$ | -13.8% |
| 2000 | 3,649 1000 Int$ | -8.9% |
| 2001 | 3,602 1000 Int$ | -1.3% |
| 2002 | 5,282 1000 Int$ | +46.6% |
| 2003 | 5,510 1000 Int$ | +4.3% |
| 2004 | 6,332 1000 Int$ | +14.9% |
| 2005 | 12,374 1000 Int$ | +95.4% |
| 2006 | 12,211 1000 Int$ | -1.3% |
| 2007 | 11,841 1000 Int$ | -3.0% |
| 2008 | 7,748 1000 Int$ | -34.6% |
| 2009 | 8,624 1000 Int$ | +11.3% |
| 2010 | 8,110 1000 Int$ | -6.0% |
| 2011 | 9,580 1000 Int$ | +18.1% |
| 2012 | 5,196 1000 Int$ | -45.8% |
| 2013 | 5,831 1000 Int$ | +12.2% |
| 2014 | 4,989 1000 Int$ | -14.4% |
| 2015 | 3,017 1000 Int$ | -39.5% |
| 2016 | 1,755 1000 Int$ | -41.8% |
| 2017 | 1,723 1000 Int$ | -1.8% |
| 2018 | 1,775 1000 Int$ | +3.0% |
| 2019 | 1,565 1000 Int$ | -11.8% |
| 2020 | 2,656 1000 Int$ | +69.7% |
| 2021 | 1,797 1000 Int$ | -32.3% |
| 2022 | 1,765 1000 Int$ | -1.8% |
| 2023 | 1,876 1000 Int$ | +6.3% |
| 2024 | 2,790 1000 Int$ | +48.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 8,669 1000 Int$ | 7,789 1000 Int$ | 10,556 1000 Int$ | 9 |
| 1970s | 24,147 1000 Int$ | 8,146 1000 Int$ | 37,183 1000 Int$ | 10 |
| 1980s | 28,495 1000 Int$ | 19,474 1000 Int$ | 35,758 1000 Int$ | 10 |
| 1990s | 7,035 1000 Int$ | 2,200 1000 Int$ | 11,936 1000 Int$ | 10 |
| 2000s | 7,717 1000 Int$ | 3,602 1000 Int$ | 12,374 1000 Int$ | 10 |
| 2010s | 4,354 1000 Int$ | 1,565 1000 Int$ | 9,580 1000 Int$ | 10 |
| 2020s | 2,177 1000 Int$ | 1,765 1000 Int$ | 2,790 1000 Int$ | 5 |
Countries ranked near Brazil
More agriculture & rural data for Brazil
- Agriculture, forestry, and fishing, value added (current US$), annual 10.36 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0609 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 652.04 current US$ per person (2025)
- Rural population, annual growth rate -1.95 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.1182 units per person (2025)
- Share of GDP from agriculture 6.1% (2025)
- Agriculture as a share of GDP vs. GDP per capita 6.1% (2025)
- Agricultural raw materials exports 5.2% (2025)
- Agricultural raw materials imports 0.8% (2025)
Frequently asked questions
- What is kenaf, and other textile bast fibres, raw or retted — gross in Brazil?
- Kenaf, and other textile bast fibres, raw or retted — gross in Brazil was 2,790 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 Brazil?
- The highest recorded value was 37,183 1000 Int$ in 1976.
- What is the lowest kenaf, and other textile bast fibres, raw or retted — gross recorded in Brazil?
- The lowest recorded value was 1,565 1000 Int$ in 2019.
- How does Brazil rank for kenaf, and other textile bast fibres, raw or retted — gross?
- Brazil ranks 9th out of 26 countries with data for 2024.
- Is kenaf, and other textile bast fibres, raw or retted — gross rising or falling in Brazil?
- Over the last ten years it is down 44.1%. The long-run trend across the full record is volatile.
- Where does this Brazil 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.