Silk-worm cocoons suitable for reeling — Gross Production Value in Brazil
Brazil: Silk-worm cocoons suitable for reeling — Gross Production Value was 6,794 1000 Int$ in 2024. ◆ Volatile
Silk-worm cocoons suitable for reeling — Gross Production Value in Brazil, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
Brazil recorded 6,794 1000 Int$ for silk-worm cocoons suitable for reeling — gross production value in 2024.
The figure is down 7.8% on the previous year and down 41.0% over ten years.
Over the whole period, silk-worm cocoons suitable for reeling — gross production value in Brazil peaked at 80,866 1000 Int$ in 1993 and was at its lowest, 6,204 1000 Int$, in 1962.
Brazil ranks 8th of 31 countries on this measure, in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Silk-worm cocoons suitable for reeling — Gross Production Value in Brazil, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 6,887 1000 Int$ | — |
| 1962 | 6,204 1000 Int$ | -9.9% |
| 1963 | 6,706 1000 Int$ | +8.1% |
| 1964 | 6,255 1000 Int$ | -6.7% |
| 1965 | 6,844 1000 Int$ | +9.4% |
| 1966 | 6,414 1000 Int$ | -6.3% |
| 1967 | 6,358 1000 Int$ | -0.9% |
| 1968 | 6,917 1000 Int$ | +8.8% |
| 1969 | 8,781 1000 Int$ | +26.9% |
| 1970 | 10,581 1000 Int$ | +20.5% |
| 1971 | 10,285 1000 Int$ | -2.8% |
| 1972 | 13,713 1000 Int$ | +33.3% |
| 1973 | 21,755 1000 Int$ | +58.6% |
| 1974 | 20,591 1000 Int$ | -5.4% |
| 1975 | 32,659 1000 Int$ | +58.6% |
| 1976 | 39,232 1000 Int$ | +20.1% |
| 1977 | 34,223 1000 Int$ | -12.8% |
| 1978 | 33,140 1000 Int$ | -3.2% |
| 1979 | 36,328 1000 Int$ | +9.6% |
| 1980 | 41,402 1000 Int$ | +14.0% |
| 1981 | 45,165 1000 Int$ | +9.1% |
| 1982 | 39,773 1000 Int$ | -11.9% |
| 1983 | 38,906 1000 Int$ | -2.2% |
| 1984 | 43,829 1000 Int$ | +12.7% |
| 1985 | 46,969 1000 Int$ | +7.2% |
| 1986 | 49,388 1000 Int$ | +5.2% |
| 1987 | 50,943 1000 Int$ | +3.1% |
| 1988 | 48,237 1000 Int$ | -5.3% |
| 1989 | 52,825 1000 Int$ | +9.5% |
| 1990 | 69,902 1000 Int$ | +32.3% |
| 1991 | 73,536 1000 Int$ | +5.2% |
| 1992 | 75,328 1000 Int$ | +2.4% |
| 1993 | 80,866 1000 Int$ | +7.4% |
| 1994 | 75,753 1000 Int$ | -6.3% |
| 1995 | 68,484 1000 Int$ | -9.6% |
| 1996 | 77,291 1000 Int$ | +12.9% |
| 1997 | 63,720 1000 Int$ | -17.6% |
| 1998 | 60,352 1000 Int$ | -5.3% |
| 1999 | 43,352 1000 Int$ | -28.2% |
| 2000 | 35,460 1000 Int$ | -18.2% |
| 2001 | 41,930 1000 Int$ | +18.2% |
| 2002 | 43,262 1000 Int$ | +3.2% |
| 2003 | 42,699 1000 Int$ | -1.3% |
| 2004 | 34,562 1000 Int$ | -19.1% |
| 2005 | 32,002 1000 Int$ | -7.4% |
| 2006 | 33,853 1000 Int$ | +5.8% |
| 2007 | 35,250 1000 Int$ | +4.1% |
| 2008 | 26,473 1000 Int$ | -24.9% |
| 2009 | 21,283 1000 Int$ | -19.6% |
| 2010 | 15,685 1000 Int$ | -26.3% |
| 2011 | 13,829 1000 Int$ | -11.8% |
| 2012 | 11,733 1000 Int$ | -15.2% |
| 2013 | 11,638 1000 Int$ | -0.8% |
| 2014 | 11,522 1000 Int$ | -1.0% |
| 2015 | 12,914 1000 Int$ | +12.1% |
| 2016 | 12,265 1000 Int$ | -5.0% |
| 2017 | 13,056 1000 Int$ | +6.4% |
| 2018 | 13,125 1000 Int$ | +0.5% |
| 2019 | 13,088 1000 Int$ | -0.3% |
| 2020 | 11,782 1000 Int$ | -10.0% |
| 2021 | 9,499 1000 Int$ | -19.4% |
| 2022 | 7,762 1000 Int$ | -18.3% |
| 2023 | 7,368 1000 Int$ | -5.1% |
| 2024 | 6,794 1000 Int$ | -7.8% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 6,818 1000 Int$ | 6,204 1000 Int$ | 8,781 1000 Int$ | 9 |
| 1970s | 25,251 1000 Int$ | 10,285 1000 Int$ | 39,232 1000 Int$ | 10 |
| 1980s | 45,744 1000 Int$ | 38,906 1000 Int$ | 52,825 1000 Int$ | 10 |
| 1990s | 68,858 1000 Int$ | 43,352 1000 Int$ | 80,866 1000 Int$ | 10 |
| 2000s | 34,677 1000 Int$ | 21,283 1000 Int$ | 43,262 1000 Int$ | 10 |
| 2010s | 12,886 1000 Int$ | 11,522 1000 Int$ | 15,685 1000 Int$ | 10 |
| 2020s | 8,641 1000 Int$ | 6,794 1000 Int$ | 11,782 1000 Int$ | 5 |
Countries ranked near Brazil
- 5 Uzbekistan 129,166 1000 Int$ compare
- 6 Romania 60,145 1000 Int$ compare
- 7 Thailand 8,592 1000 Int$ compare
- 9 Tajikistan 6,075 1000 Int$ compare
- 10 Afghanistan 2,148 1000 Int$ compare
- 11 Kyrgyzstan 1,474 1000 Int$ compare
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)
- Agriculture share gdp 6.09 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 6.09 (2025)
- Agricultural raw materials exports 5.2% (2025)
- Agricultural raw materials imports 0.8% (2025)
Frequently asked questions
- What is silk-worm cocoons suitable for reeling — gross production value in Brazil?
- Silk-worm cocoons suitable for reeling — gross production value in Brazil was 6,794 1000 Int$ in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest silk-worm cocoons suitable for reeling — gross production value recorded in Brazil?
- The highest recorded value was 80,866 1000 Int$ in 1993.
- What is the lowest silk-worm cocoons suitable for reeling — gross production value recorded in Brazil?
- The lowest recorded value was 6,204 1000 Int$ in 1962.
- How does Brazil rank for silk-worm cocoons suitable for reeling — gross production value?
- Brazil ranks 8th out of 31 countries with data for 2024.
- Is silk-worm cocoons suitable for reeling — gross production value rising or falling in Brazil?
- Over the last ten years it is down 41.0%. 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 Silk-worm cocoons suitable for reeling — 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.