Kenaf, and other textile bast fibres, raw or retted — Gross in Thailand
Thailand: Kenaf, and other textile bast fibres, raw or retted — Gross was 1,296 1000 Int$ in 2024. ◆ Volatile
Kenaf, and other textile bast fibres, raw or retted — Gross in Thailand, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
The most recent figure for kenaf, and other textile bast fibres, raw or retted — gross in Thailand is 1,296 1000 Int$, measured in 2024.
The figure is up 0.2% on the previous year and down 13.9% over ten years.
Over the whole period, kenaf, and other textile bast fibres, raw or retted — gross in Thailand peaked at 406,494 1000 Int$ in 1966 and was at its lowest, 857 1000 Int$, in 2015.
That places Thailand 12th out of 26 countries with data for 2024, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Kenaf, and other textile bast fibres, raw or retted — Gross in Thailand, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 146,851 1000 Int$ | — |
| 1962 | 82,477 1000 Int$ | -43.8% |
| 1963 | 129,914 1000 Int$ | +57.5% |
| 1964 | 186,003 1000 Int$ | +43.2% |
| 1965 | 324,692 1000 Int$ | +74.6% |
| 1966 | 406,494 1000 Int$ | +25.2% |
| 1967 | 258,845 1000 Int$ | -36.3% |
| 1968 | 193,919 1000 Int$ | -25.1% |
| 1969 | 229,144 1000 Int$ | +18.2% |
| 1970 | 233,746 1000 Int$ | +2.0% |
| 1971 | 257,188 1000 Int$ | +10.0% |
| 1972 | 262,589 1000 Int$ | +2.1% |
| 1973 | 287,749 1000 Int$ | +9.6% |
| 1974 | 235,734 1000 Int$ | -18.1% |
| 1975 | 188,766 1000 Int$ | -19.9% |
| 1976 | 114,101 1000 Int$ | -39.6% |
| 1977 | 150,858 1000 Int$ | +32.2% |
| 1978 | 207,306 1000 Int$ | +37.4% |
| 1979 | 136,117 1000 Int$ | -34.3% |
| 1980 | 129,682 1000 Int$ | -4.7% |
| 1981 | 118,949 1000 Int$ | -8.3% |
| 1982 | 122,493 1000 Int$ | +3.0% |
| 1983 | 144,079 1000 Int$ | +17.6% |
| 1984 | 99,150 1000 Int$ | -31.2% |
| 1985 | 151,730 1000 Int$ | +53.0% |
| 1986 | 138,880 1000 Int$ | -8.5% |
| 1987 | 97,038 1000 Int$ | -30.1% |
| 1988 | 96,277 1000 Int$ | -0.8% |
| 1989 | 91,533 1000 Int$ | -4.9% |
| 1990 | 96,381 1000 Int$ | +5.3% |
| 1991 | 77,804 1000 Int$ | -19.3% |
| 1992 | 77,322 1000 Int$ | -0.6% |
| 1993 | 77,936 1000 Int$ | +0.8% |
| 1994 | 71,038 1000 Int$ | -8.9% |
| 1995 | 64,435 1000 Int$ | -9.3% |
| 1996 | 61,109 1000 Int$ | -5.2% |
| 1997 | 58,016 1000 Int$ | -5.1% |
| 1998 | 28,973 1000 Int$ | -50.1% |
| 1999 | 18,239 1000 Int$ | -37.0% |
| 2000 | 22,376 1000 Int$ | +22.7% |
| 2001 | 37,197 1000 Int$ | +66.2% |
| 2002 | 8,650 1000 Int$ | -76.7% |
| 2003 | 6,510 1000 Int$ | -24.7% |
| 2004 | 8,782 1000 Int$ | +34.9% |
| 2005 | 9,265 1000 Int$ | +5.5% |
| 2006 | 3,829 1000 Int$ | -58.7% |
| 2007 | 2,071 1000 Int$ | -45.9% |
| 2008 | 1,263 1000 Int$ | -39.0% |
| 2009 | 1,781 1000 Int$ | +41.0% |
| 2010 | 1,488 1000 Int$ | -16.5% |
| 2011 | 1,499 1000 Int$ | +0.7% |
| 2012 | 2,192 1000 Int$ | +46.2% |
| 2013 | 2,199 1000 Int$ | +0.3% |
| 2014 | 1,505 1000 Int$ | -31.6% |
| 2015 | 857 1000 Int$ | -43.1% |
| 2016 | 1,521 1000 Int$ | +77.5% |
| 2017 | 1,294 1000 Int$ | -14.9% |
| 2018 | 1,224 1000 Int$ | -5.4% |
| 2019 | 1,346 1000 Int$ | +10.0% |
| 2020 | 1,288 1000 Int$ | -4.3% |
| 2021 | 1,286 1000 Int$ | -0.2% |
| 2022 | 1,307 1000 Int$ | +1.6% |
| 2023 | 1,294 1000 Int$ | -1.0% |
| 2024 | 1,296 1000 Int$ | +0.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 217,593 1000 Int$ | 82,477 1000 Int$ | 406,494 1000 Int$ | 9 |
| 1970s | 207,415 1000 Int$ | 114,101 1000 Int$ | 287,749 1000 Int$ | 10 |
| 1980s | 118,981 1000 Int$ | 91,533 1000 Int$ | 151,730 1000 Int$ | 10 |
| 1990s | 63,125 1000 Int$ | 18,239 1000 Int$ | 96,381 1000 Int$ | 10 |
| 2000s | 10,172 1000 Int$ | 1,263 1000 Int$ | 37,197 1000 Int$ | 10 |
| 2010s | 1,512 1000 Int$ | 857 1000 Int$ | 2,199 1000 Int$ | 10 |
| 2020s | 1,294 1000 Int$ | 1,286 1000 Int$ | 1,307 1000 Int$ | 5 |
Countries ranked near Thailand
More agriculture & rural data for Thailand
- Agriculture, forestry, and fishing, value added (current US$), annual 7.21 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0875 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 704.7 current US$ per person (2025)
- Rural population, annual growth rate -2.51 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.372 units per person (2025)
- Share of GDP from agriculture 8.7% (2025)
- Agriculture as a share of GDP vs. GDP per capita 8.7% (2025)
- Agricultural raw materials exports 4.0% (2024)
- Agricultural raw materials imports 1.3% (2024)
Frequently asked questions
- What is kenaf, and other textile bast fibres, raw or retted — gross in Thailand?
- Kenaf, and other textile bast fibres, raw or retted — gross in Thailand was 1,296 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 Thailand?
- The highest recorded value was 406,494 1000 Int$ in 1966.
- What is the lowest kenaf, and other textile bast fibres, raw or retted — gross recorded in Thailand?
- The lowest recorded value was 857 1000 Int$ in 2015.
- How does Thailand rank for kenaf, and other textile bast fibres, raw or retted — gross?
- Thailand ranks 12th out of 26 countries with data for 2024.
- Is kenaf, and other textile bast fibres, raw or retted — gross rising or falling in Thailand?
- Over the last ten years it is down 13.9%. The long-run trend across the full record is volatile.
- Where does this Thailand 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.