Watermelons — Gross per capita Production Index Number in Middle Africa
Middle Africa: Watermelons — Gross per capita Production Index Number was 116.55 in 2024. ▲ Rising
Watermelons — Gross per capita Production Index Number in Middle Africa, 1990–2024
Source: Food and Agriculture Organization of the United Nations.
Analysis
The most recent figure for watermelons — gross per capita production index number in Middle Africa is 116.55, measured in 2024.
That represents a change of up 1.1% on the previous year and up 17.3% over ten years.
Over the whole period, watermelons — gross per capita production index number in Middle Africa peaked at 118.52 in 2022 and was at its lowest, 15.27, in 1990.
The long-run direction has been consistently rising across the 35 years of available data.
Watermelons — Gross per capita Production Index Number in Middle Africa, year by year
| Year | Value | Change |
|---|---|---|
| 1990 | 15.27 | — |
| 1991 | 20.69 | +35.5% |
| 1992 | 25.73 | +24.4% |
| 1993 | 30.44 | +18.3% |
| 1994 | 34.62 | +13.7% |
| 1995 | 38.5 | +11.2% |
| 1996 | 42.53 | +10.5% |
| 1997 | 46.45 | +9.2% |
| 1998 | 54.65 | +17.7% |
| 1999 | 63.26 | +15.8% |
| 2000 | 61.64 | -2.6% |
| 2001 | 59.74 | -3.1% |
| 2002 | 61.59 | +3.1% |
| 2003 | 61.58 | -0.0% |
| 2004 | 61.51 | -0.1% |
| 2005 | 58.48 | -4.9% |
| 2006 | 61.5 | +5.2% |
| 2007 | 67.5 | +9.8% |
| 2008 | 66.63 | -1.3% |
| 2009 | 68.06 | +2.1% |
| 2010 | 72.5 | +6.5% |
| 2011 | 72.65 | +0.2% |
| 2012 | 76.39 | +5.1% |
| 2013 | 71.19 | -6.8% |
| 2014 | 99.34 | +39.5% |
| 2015 | 98.04 | -1.3% |
| 2016 | 102.62 | +4.7% |
| 2017 | 109.76 | +7.0% |
| 2018 | 111.29 | +1.4% |
| 2019 | 96.17 | -13.6% |
| 2020 | 110.88 | +15.3% |
| 2021 | 116.09 | +4.7% |
| 2022 | 118.52 | +2.1% |
| 2023 | 115.23 | -2.8% |
| 2024 | 116.55 | +1.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 37.21 | 15.27 | 63.26 | 10 |
| 2000s | 62.82 | 58.48 | 68.06 | 10 |
| 2010s | 91 | 71.19 | 111.29 | 10 |
| 2020s | 115.45 | 110.88 | 118.52 | 5 |
Countries ranked near Middle Africa
More environment data for Middle Africa
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Historical exposure to drought — Land soil moisture anomaly -9.38 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -9.88 Percentage change (2025)
- Temperature change 1.13 °C (2025)
- Standard Deviation 0.198 °C (2025)
- Wood fuel — Production 122.87 million m3 (2024)
- Roundwood, coniferous — Production 3,200 m3 (2024)
- Wood fuel, coniferous — Production 0 m3 (2024)
- Wood fuel, non-coniferous — Production 122.87 million m3 (2024)
- Industrial roundwood — Production 16.92 million m3 (2024)
Frequently asked questions
- What is watermelons — gross per capita production index number in Middle Africa?
- Watermelons — gross per capita production index number in Middle Africa was 116.55 in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest watermelons — gross per capita production index number recorded in Middle Africa?
- The highest recorded value was 118.52 in 2022.
- What is the lowest watermelons — gross per capita production index number recorded in Middle Africa?
- The lowest recorded value was 15.27 in 1990.
- How does Middle Africa rank for watermelons — gross per capita production index number?
- Middle Africa ranks 5th out of 16 regions with data for 2024.
- Is watermelons — gross per capita production index number rising or falling in Middle Africa?
- Over the last ten years it is up 17.3%. The long-run trend across the full record is rising.
- Where does this Middle Africa data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Watermelons — Gross per capita Production Index Number (2014-2016 = 100). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 35 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
The FAO indices of agricultural production show the relative level of the aggregate volume of agricultural production for each year in comparison with the base period 2014-2016. Indices for meat production are computed based on data on production from indigenous animals.