Sweet potatoes — Gross Production Value in Zimbabwe
Zimbabwe: Sweet potatoes — Gross Production Value was 44,560 1000 Int$ in 2024. ◆ Volatile
Latest (2024)
44,560 1000 Int$
Change on year
up 3.9%
World rank
32nd
of 112 countries
All-time high
106,039 1000 Int$
in 2017
All-time low
26 1000 Int$
in 1965
Years of data
62
1961–2024
Sweet potatoes — Gross Production Value in Zimbabwe, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
In 2024, sweet potatoes — gross production value in Zimbabwe stood at 44,560 1000 Int$.
That represents a change of up 3.9% on the previous year and down 35.7% over ten years.
Over the whole period, sweet potatoes — gross production value in Zimbabwe peaked at 106,039 1000 Int$ in 2017 and was at its lowest, 26 1000 Int$, in 1965.
Zimbabwe ranks 32nd of 112 countries on this measure, in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Sweet potatoes — Gross Production Value in Zimbabwe, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 164 1000 Int$ | — |
| 1962 | 115 1000 Int$ | -29.9% |
| 1963 | 88 1000 Int$ | -23.5% |
| 1964 | 31 1000 Int$ | -64.8% |
| 1965 | 26 1000 Int$ | -16.1% |
| 1966 | 103 1000 Int$ | +296.2% |
| 1967 | 165 1000 Int$ | +60.2% |
| 1968 | 207 1000 Int$ | +25.5% |
| 1969 | 227 1000 Int$ | +9.7% |
| 1970 | 248 1000 Int$ | +9.3% |
| 1971 | 269 1000 Int$ | +8.5% |
| 1972 | 289 1000 Int$ | +7.4% |
| 1973 | 310 1000 Int$ | +7.3% |
| 1974 | 310 1000 Int$ | +0.0% |
| 1975 | 353 1000 Int$ | +13.9% |
| 1976 | 268 1000 Int$ | -24.1% |
| 1977 | 137 1000 Int$ | -48.9% |
| 1978 | 192 1000 Int$ | +40.1% |
| 1979 | 186 1000 Int$ | -3.1% |
| 1980 | 186 1000 Int$ | +0.0% |
| 1981 | 168 1000 Int$ | -9.7% |
| 1982 | 98 1000 Int$ | -41.7% |
| 1983 | 165 1000 Int$ | +68.4% |
| 1984 | 186 1000 Int$ | +12.7% |
| 1985 | 207 1000 Int$ | +11.3% |
| 1986 | 227 1000 Int$ | +9.7% |
| 1987 | 248 1000 Int$ | +9.3% |
| 1988 | 269 1000 Int$ | +8.5% |
| 1989 | 279 1000 Int$ | +3.7% |
| 1990 | 289 1000 Int$ | +3.6% |
| 1991 | 310 1000 Int$ | +7.3% |
| 1992 | 248 1000 Int$ | -20.0% |
| 1993 | 310 1000 Int$ | +25.0% |
| 1994 | 331 1000 Int$ | +6.8% |
| 1995 | 289 1000 Int$ | -12.7% |
| 1996 | 310 1000 Int$ | +7.3% |
| 1997 | 613 1000 Int$ | +97.7% |
| 1998 | 289 1000 Int$ | -52.9% |
| 1999 | 4,523 1000 Int$ | +1465.1% |
| 2000 | 5,936 1000 Int$ | +31.2% |
| 2001 | 7,571 1000 Int$ | +27.5% |
| 2002 | 9,473 1000 Int$ | +25.1% |
| 2003 | 11,681 1000 Int$ | +23.3% |
| 2004 | 14,187 1000 Int$ | +21.5% |
| 2005 | 16,893 1000 Int$ | +19.1% |
| 2006 | 23,278 1000 Int$ | +37.8% |
| 2007 | 26,371 1000 Int$ | +13.3% |
| 2010 | 34,993 1000 Int$ | +32.7% |
| 2011 | 37,848 1000 Int$ | +8.2% |
| 2012 | 40,804 1000 Int$ | +7.8% |
| 2013 | 43,922 1000 Int$ | +7.6% |
| 2014 | 69,306 1000 Int$ | +57.8% |
| 2015 | 45,208 1000 Int$ | -34.8% |
| 2016 | 42,099 1000 Int$ | -6.9% |
| 2017 | 106,039 1000 Int$ | +151.9% |
| 2018 | 66,480 1000 Int$ | -37.3% |
| 2019 | 18,239 1000 Int$ | -72.6% |
| 2020 | 23,676 1000 Int$ | +29.8% |
| 2021 | 87,344 1000 Int$ | +268.9% |
| 2022 | 42,891 1000 Int$ | -50.9% |
| 2023 | 42,891 1000 Int$ | +0.0% |
| 2024 | 44,560 1000 Int$ | +3.9% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 125.11 1000 Int$ | 26 1000 Int$ | 227 1000 Int$ | 9 |
| 1970s | 256.2 1000 Int$ | 137 1000 Int$ | 353 1000 Int$ | 10 |
| 1980s | 203.3 1000 Int$ | 98 1000 Int$ | 279 1000 Int$ | 10 |
| 1990s | 751.2 1000 Int$ | 248 1000 Int$ | 4,523 1000 Int$ | 10 |
| 2000s | 14,424 1000 Int$ | 5,936 1000 Int$ | 26,371 1000 Int$ | 8 |
| 2010s | 50,494 1000 Int$ | 18,239 1000 Int$ | 106,039 1000 Int$ | 10 |
| 2020s | 48,272 1000 Int$ | 23,676 1000 Int$ | 87,344 1000 Int$ | 5 |
Countries ranked near Zimbabwe
- 29 Cuba 49,146 1000 Int$ compare
- 30 Chad 48,011 1000 Int$ compare
- 31 Sudan (former) 46,502 1000 Int$ compare
- 33 China, Taiwan Province of 43,890 1000 Int$ compare
- 34 Ethiopia PDR 31,745 1000 Int$ compare
- 35 Ghana 29,488 1000 Int$ compare
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)
- Agriculture share gdp 9.47 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 9.47 (2025)
- Agricultural raw materials exports 0.9% (2024)
- Agricultural raw materials imports 0.3% (2024)
Frequently asked questions
- What is sweet potatoes — gross production value in Zimbabwe?
- Sweet potatoes — gross production value in Zimbabwe was 44,560 1000 Int$ in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest sweet potatoes — gross production value recorded in Zimbabwe?
- The highest recorded value was 106,039 1000 Int$ in 2017.
- What is the lowest sweet potatoes — gross production value recorded in Zimbabwe?
- The lowest recorded value was 26 1000 Int$ in 1965.
- How does Zimbabwe rank for sweet potatoes — gross production value?
- Zimbabwe ranks 32nd out of 112 countries with data for 2024.
- Is sweet potatoes — gross production value rising or falling in Zimbabwe?
- Over the last ten years it is down 35.7%. 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 Sweet potatoes — 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.