Africa vs Türkiye: Watermelons — Gross per capita Production Index Number
Africa
100.87
in 2024
Türkiye
74.67
in 2024
Africa rank
15th
Türkiye rank
12th
Watermelons — Gross per capita Production Index Number over time
- Africa
- Türkiye
How they compare
Africa currently reports 100.87 against 74.67 in Türkiye, a difference of 26.2.
That makes Africa's figure about 1.4 times Türkiye's.
The two have swapped places 5 times across 64 shared years of data; in 1961 it was Türkiye ahead.
Africa ranks 15th and Türkiye ranks 12th of 27 groups.
Across the 7 decades both report, Africa averaged higher in 1 and Türkiye in 6.
Head to head by decade
| Decade | Africa | Türkiye | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 87.5 | 123.87 | 36.36 | Türkiye |
| 1970s | 92.78 | 124.49 | 31.72 | Türkiye |
| 1980s | 85.73 | 128.48 | 42.75 | Türkiye |
| 1990s | 80.26 | 124.63 | 44.37 | Türkiye |
| 2000s | 97.44 | 118.62 | 21.19 | Türkiye |
| 2010s | 99.37 | 101.08 | 1.71 | Türkiye |
| 2020s | 106.71 | 78.51 | 28.2 | Africa |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Africa or Türkiye?
- Africa, at 100.87 against 74.67 in Türkiye as of 2024.
- What is the difference in watermelons — gross per capita production index number between Africa and Türkiye?
- 26.2, with Africa ahead.
- How many years of comparable data are there for Africa and Türkiye?
- 64 years are reported by both, from 1961 to 2024.
- How do Africa and Türkiye rank globally for watermelons — gross per capita production index number?
- Africa ranks 15th and Türkiye ranks 12th of 27 groups.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Watermelons — Gross per capita Production Index Number (2014-2016 = 100). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
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.