Meat of sheep, fresh or chilled (indigenous) — Gross Production Value in Zimbabwe
Zimbabwe: Meat of sheep, fresh or chilled (indigenous) — Gross Production Value was 22,615 1000 Int$ in 2024. ◆ Volatile
Meat of sheep, fresh or chilled (indigenous) — Gross Production Value in Zimbabwe, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
The most recent figure for meat of sheep, fresh or chilled (indigenous) — gross production value in Zimbabwe is 22,615 1000 Int$, measured in 2024. That is the highest value across all 62 years on record.
The figure is up 44.4% on the previous year and up 121.6% over ten years.
Over the whole period, meat of sheep, fresh or chilled (indigenous) — gross production value in Zimbabwe peaked at 22,615 1000 Int$ in 2024 and was at its lowest, 2,057 1000 Int$, in 1997.
Zimbabwe ranks 87th of 179 countries on this measure, in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Meat of sheep, fresh or chilled (indigenous) — Gross Production Value in Zimbabwe, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 3,205 1000 Int$ | — |
| 1962 | 3,600 1000 Int$ | +12.3% |
| 1963 | 3,753 1000 Int$ | +4.2% |
| 1964 | 3,747 1000 Int$ | -0.2% |
| 1965 | 3,782 1000 Int$ | +0.9% |
| 1966 | 4,873 1000 Int$ | +28.8% |
| 1967 | 5,571 1000 Int$ | +14.3% |
| 1968 | 6,401 1000 Int$ | +14.9% |
| 1969 | 7,413 1000 Int$ | +15.8% |
| 1970 | 7,949 1000 Int$ | +7.2% |
| 1971 | 7,910 1000 Int$ | -0.5% |
| 1972 | 7,093 1000 Int$ | -10.3% |
| 1973 | 7,387 1000 Int$ | +4.1% |
| 1974 | 5,552 1000 Int$ | -24.8% |
| 1975 | 4,616 1000 Int$ | -16.9% |
| 1976 | 4,101 1000 Int$ | -11.2% |
| 1977 | 3,889 1000 Int$ | -5.2% |
| 1978 | 3,498 1000 Int$ | -10.1% |
| 1979 | 3,534 1000 Int$ | +1.0% |
| 1980 | 3,240 1000 Int$ | -8.3% |
| 1981 | 2,698 1000 Int$ | -16.7% |
| 1982 | 2,782 1000 Int$ | +3.1% |
| 1983 | 2,848 1000 Int$ | +2.4% |
| 1984 | 3,514 1000 Int$ | +23.4% |
| 1985 | 2,647 1000 Int$ | -24.7% |
| 1986 | 2,645 1000 Int$ | -0.1% |
| 1987 | 3,357 1000 Int$ | +26.9% |
| 1988 | 2,665 1000 Int$ | -20.6% |
| 1989 | 2,991 1000 Int$ | +12.2% |
| 1990 | 2,701 1000 Int$ | -9.7% |
| 1991 | 2,551 1000 Int$ | -5.6% |
| 1992 | 2,513 1000 Int$ | -1.5% |
| 1993 | 2,234 1000 Int$ | -11.1% |
| 1994 | 2,295 1000 Int$ | +2.7% |
| 1995 | 2,266 1000 Int$ | -1.3% |
| 1996 | 2,319 1000 Int$ | +2.3% |
| 1997 | 2,057 1000 Int$ | -11.3% |
| 1998 | 2,286 1000 Int$ | +11.1% |
| 1999 | 2,874 1000 Int$ | +25.7% |
| 2000 | 3,135 1000 Int$ | +9.1% |
| 2001 | 2,742 1000 Int$ | -12.5% |
| 2002 | 2,939 1000 Int$ | +7.2% |
| 2003 | 2,547 1000 Int$ | -13.3% |
| 2004 | 2,417 1000 Int$ | -5.1% |
| 2005 | 2,351 1000 Int$ | -2.7% |
| 2006 | 2,276 1000 Int$ | -3.2% |
| 2007 | 2,165 1000 Int$ | -4.9% |
| 2010 | 10,089 1000 Int$ | +366.0% |
| 2011 | 10,087 1000 Int$ | -0.0% |
| 2012 | 10,091 1000 Int$ | +0.0% |
| 2013 | 10,434 1000 Int$ | +3.4% |
| 2014 | 10,206 1000 Int$ | -2.2% |
| 2015 | 14,754 1000 Int$ | +44.6% |
| 2016 | 16,419 1000 Int$ | +11.3% |
| 2017 | 11,409 1000 Int$ | -30.5% |
| 2018 | 8,994 1000 Int$ | -21.2% |
| 2019 | 12,004 1000 Int$ | +33.5% |
| 2020 | 12,154 1000 Int$ | +1.2% |
| 2021 | 11,843 1000 Int$ | -2.6% |
| 2022 | 11,913 1000 Int$ | +0.6% |
| 2023 | 15,665 1000 Int$ | +31.5% |
| 2024 | 22,615 1000 Int$ | +44.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 4,705 1000 Int$ | 3,205 1000 Int$ | 7,413 1000 Int$ | 9 |
| 1970s | 5,553 1000 Int$ | 3,498 1000 Int$ | 7,949 1000 Int$ | 10 |
| 1980s | 2,939 1000 Int$ | 2,645 1000 Int$ | 3,514 1000 Int$ | 10 |
| 1990s | 2,410 1000 Int$ | 2,057 1000 Int$ | 2,874 1000 Int$ | 10 |
| 2000s | 2,572 1000 Int$ | 2,165 1000 Int$ | 3,135 1000 Int$ | 8 |
| 2010s | 11,449 1000 Int$ | 8,994 1000 Int$ | 16,419 1000 Int$ | 10 |
| 2020s | 14,838 1000 Int$ | 11,843 1000 Int$ | 22,615 1000 Int$ | 5 |
Countries ranked near Zimbabwe
More agriculture & rural data for Zimbabwe
- Agriculture, forestry, and fishing, value added (current US$), annual 34.41 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0947 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 286.19 current US$ per person (2025)
- Rural population, annual growth rate 0.8815 % change on previous year (2025)
- Rural population, per unit of GDP 0.0002 units per US$ of GDP (2025)
- Rural population, per capita 0.595 units per person (2025)
- Share of GDP from agriculture 9.5% (2025)
- Agriculture as a share of GDP vs. GDP per capita 9.5% (2025)
- Agricultural raw materials exports 0.9% (2024)
- Agricultural raw materials imports 0.3% (2024)
Frequently asked questions
- What is meat of sheep, fresh or chilled (indigenous) — gross production value in Zimbabwe?
- Meat of sheep, fresh or chilled (indigenous) — gross production value in Zimbabwe was 22,615 1000 Int$ in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest meat of sheep, fresh or chilled (indigenous) — gross production value recorded in Zimbabwe?
- The highest recorded value was 22,615 1000 Int$ in 2024.
- What is the lowest meat of sheep, fresh or chilled (indigenous) — gross production value recorded in Zimbabwe?
- The lowest recorded value was 2,057 1000 Int$ in 1997.
- How does Zimbabwe rank for meat of sheep, fresh or chilled (indigenous) — gross production value?
- Zimbabwe ranks 87th out of 179 countries with data for 2024.
- Is meat of sheep, fresh or chilled (indigenous) — gross production value rising or falling in Zimbabwe?
- Over the last ten years it is up 121.6%. The long-run trend across the full record is volatile.
- Where does this Zimbabwe data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Meat of sheep, fresh or chilled (indigenous) — 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.