Meat of cattle: Gross Production Value (constant) … I constant in Zimbabwe
Zimbabwe: Meat of cattle: Gross Production Value (constant) … I constant was 3.25 million 1000 Int$ in 2024. ◆ Volatile
Latest (2024)
3.25 million 1000 Int$
Change on year
up 1.5%
World rank
23rd
of 250 countries
All-time high
3.25 million 1000 Int$
in 2024
All-time low
221,433 1000 Int$
in 1964
Years of data
62
1961–2024
Meat of cattle with the bone, fresh or chilled (indigenous) — Gross in Zimbabwe, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
The most recent figure for meat of cattle with the bone, fresh or chilled (indigenous) — gross in Zimbabwe is 3.25 million 1000 Int$, measured in 2024. That is the highest value across all 62 years on record.
That represents a change of up 1.5% on the previous year and up 37.0% over ten years.
Over the whole period, meat of cattle with the bone, fresh or chilled (indigenous) — gross in Zimbabwe peaked at 3.25 million 1000 Int$ in 2024 and was at its lowest, 221,433 1000 Int$, in 1964.
Zimbabwe ranks 23rd of 250 countries on this measure, in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Meat of cattle: Gross Production Value (constant) … I constant in Zimbabwe, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 229,986 1000 Int$ | — |
| 1962 | 228,548 1000 Int$ | -0.6% |
| 1963 | 229,482 1000 Int$ | +0.4% |
| 1964 | 221,433 1000 Int$ | -3.5% |
| 1965 | 229,986 1000 Int$ | +3.9% |
| 1966 | 287,841 1000 Int$ | +25.2% |
| 1967 | 233,651 1000 Int$ | -18.8% |
| 1968 | 246,156 1000 Int$ | +5.4% |
| 1969 | 260,674 1000 Int$ | +5.9% |
| 1970 | 310,193 1000 Int$ | +19.0% |
| 1971 | 386,807 1000 Int$ | +24.7% |
| 1972 | 478,083 1000 Int$ | +23.6% |
| 1973 | 515,240 1000 Int$ | +7.8% |
| 1974 | 382,638 1000 Int$ | -25.7% |
| 1975 | 365,030 1000 Int$ | -4.6% |
| 1976 | 431,808 1000 Int$ | +18.3% |
| 1977 | 474,614 1000 Int$ | +9.9% |
| 1978 | 457,690 1000 Int$ | -3.6% |
| 1979 | 405,401 1000 Int$ | -11.4% |
| 1980 | 328,840 1000 Int$ | -18.9% |
| 1981 | 283,901 1000 Int$ | -13.7% |
| 1982 | 329,614 1000 Int$ | +16.1% |
| 1983 | 331,551 1000 Int$ | +0.6% |
| 1984 | 377,440 1000 Int$ | +13.8% |
| 1985 | 363,229 1000 Int$ | -3.8% |
| 1986 | 315,810 1000 Int$ | -13.1% |
| 1987 | 365,520 1000 Int$ | +15.7% |
| 1988 | 345,333 1000 Int$ | -5.5% |
| 1989 | 315,877 1000 Int$ | -8.5% |
| 1990 | 351,778 1000 Int$ | +11.4% |
| 1991 | 2.30 million 1000 Int$ | +554.5% |
| 1992 | 2.60 million 1000 Int$ | +12.9% |
| 1993 | 1.81 million 1000 Int$ | -30.3% |
| 1994 | 1.87 million 1000 Int$ | +3.3% |
| 1995 | 1.97 million 1000 Int$ | +5.1% |
| 1996 | 2.39 million 1000 Int$ | +21.3% |
| 1997 | 2.38 million 1000 Int$ | -0.2% |
| 1998 | 2.51 million 1000 Int$ | +5.4% |
| 1999 | 2.70 million 1000 Int$ | +7.5% |
| 2000 | 2.76 million 1000 Int$ | +2.4% |
| 2001 | 2.68 million 1000 Int$ | -3.0% |
| 2002 | 2.44 million 1000 Int$ | -8.8% |
| 2003 | 2.34 million 1000 Int$ | -4.0% |
| 2004 | 2.28 million 1000 Int$ | -2.5% |
| 2005 | 2.37 million 1000 Int$ | +3.6% |
| 2006 | 2.23 million 1000 Int$ | -5.6% |
| 2007 | 2.30 million 1000 Int$ | +3.1% |
| 2010 | 2.80 million 1000 Int$ | +21.4% |
| 2011 | 2.93 million 1000 Int$ | +4.9% |
| 2012 | 2.99 million 1000 Int$ | +2.0% |
| 2013 | 2.99 million 1000 Int$ | +0.0% |
| 2014 | 2.37 million 1000 Int$ | -20.8% |
| 2015 | 2.67 million 1000 Int$ | +12.8% |
| 2016 | 2.71 million 1000 Int$ | +1.2% |
| 2017 | 2.62 million 1000 Int$ | -3.0% |
| 2018 | 2.65 million 1000 Int$ | +1.1% |
| 2019 | 2.71 million 1000 Int$ | +2.0% |
| 2020 | 2.70 million 1000 Int$ | -0.1% |
| 2021 | 3.01 million 1000 Int$ | +11.3% |
| 2022 | 3.11 million 1000 Int$ | +3.2% |
| 2023 | 3.20 million 1000 Int$ | +3.0% |
| 2024 | 3.25 million 1000 Int$ | +1.5% |
Zimbabwe compared with similar countries
- Zimbabwe's 3.25 million 1000 Int$ is above the median for lower middle income countries, which is 205,044 1000 Int$, 15.8× the median. (42 countries reporting)
- Zimbabwe's 3.25 million 1000 Int$ is above the median for Sub-Saharan Africa, which is 167,490 1000 Int$, 19.4× the median. (46 countries reporting)
Biggest year-on-year movements
Years where Meat of cattle: Gross Production Value (constant) … I constant in Zimbabwe changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 1991 | +554.5% | 351,778 1000 Int$ | 2.30 million 1000 Int$ |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 240,862 1000 Int$ | 221,433 1000 Int$ | 287,841 1000 Int$ | 9 |
| 1970s | 420,750 1000 Int$ | 310,193 1000 Int$ | 515,240 1000 Int$ | 10 |
| 1980s | 335,712 1000 Int$ | 283,901 1000 Int$ | 377,440 1000 Int$ | 10 |
| 1990s | 2.09 million 1000 Int$ | 351,778 1000 Int$ | 2.70 million 1000 Int$ | 10 |
| 2000s | 2.43 million 1000 Int$ | 2.23 million 1000 Int$ | 2.76 million 1000 Int$ | 8 |
| 2010s | 2.75 million 1000 Int$ | 2.37 million 1000 Int$ | 2.99 million 1000 Int$ | 10 |
| 2020s | 3.05 million 1000 Int$ | 2.70 million 1000 Int$ | 3.25 million 1000 Int$ | 5 |
Countries ranked near Zimbabwe
- 20 India 4.56 million 1000 Int$ compare
- 21 South Africa 4.10 million 1000 Int$ compare
- 22 United Kingdom of Great Britain and Northern Ireland 3.96 million 1000 Int$ compare
- 24 New Zealand 3.19 million 1000 Int$ compare
- 25 Colombia 3.15 million 1000 Int$ compare
- 26 United Republic of Tanzania 2.87 million 1000 Int$ compare
More agriculture & rural data for Zimbabwe
- Cropland extent over the long-term, annual growth rate -1.42 % change on previous year (2025)
- Cropland extent over the long-term, per unit of GDP 0.0001 hectares per US$ of GDP (2025)
- Cropland extent over the long-term, per capita 0.1777 hectares per person (2025)
- Agricultural area over the long-term, annual growth rate -0.2864 % change on previous year (2025)
- Agricultural area over the long-term, per unit of GDP 0.0003 hectares per US$ of GDP (2025)
- Agricultural area over the long-term, per capita 0.8916 hectares per person (2025)
- 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)
Frequently asked questions
- What is meat of cattle with the bone, fresh or chilled (indigenous) — gross in Zimbabwe?
- Meat of cattle with the bone, fresh or chilled (indigenous) — gross in Zimbabwe was 3.25 million 1000 Int$ in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest meat of cattle with the bone, fresh or chilled (indigenous) — gross recorded in Zimbabwe?
- The highest recorded value was 3.25 million 1000 Int$ in 2024.
- What is the lowest meat of cattle with the bone, fresh or chilled (indigenous) — gross recorded in Zimbabwe?
- The lowest recorded value was 221,433 1000 Int$ in 1964.
- How does Zimbabwe rank for meat of cattle with the bone, fresh or chilled (indigenous) — gross?
- Zimbabwe ranks 23rd out of 250 countries with data for 2024.
- Is meat of cattle with the bone, fresh or chilled (indigenous) — gross rising or falling in Zimbabwe?
- Over the last ten years it is up 37.0%. 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 cattle with the bone, fresh or chilled (indigenous) — Gross Production Value (constant 2014-2016 thousand I$). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 62 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
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.