Africa vs India: Watermelons — Gross per capita Production Index Number
Africa
100.87
in 2024
India
162.86
in 2024
Africa rank
15th
India rank
17th
Watermelons — Gross per capita Production Index Number over time
- Africa
- India
How they compare
India currently reports 162.86 against 100.87 in Africa, a difference of 61.99.
That makes India's figure about 1.6 times Africa's.
The two have swapped places 1 time across 64 shared years of data; in 1961 it was Africa ahead.
Africa ranks 15th and India ranks 17th of 27 groups.
Across the 7 decades both report, Africa averaged higher in 6 and India in 1.
Head to head by decade
| Decade | Africa | India | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 87.5 | 10.92 | 76.58 | Africa |
| 1970s | 92.78 | 12.47 | 80.3 | Africa |
| 1980s | 85.73 | 14.04 | 71.69 | Africa |
| 1990s | 80.26 | 31.15 | 49.12 | Africa |
| 2000s | 97.44 | 54.46 | 42.98 | Africa |
| 2010s | 99.37 | 94.24 | 5.14 | Africa |
| 2020s | 106.71 | 151.87 | 45.16 | India |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Africa or India?
- India, at 162.86 against 100.87 in Africa as of 2024.
- What is the difference in watermelons — gross per capita production index number between Africa and India?
- 61.99, with India ahead.
- How many years of comparable data are there for Africa and India?
- 64 years are reported by both, from 1961 to 2024.
- How do Africa and India rank globally for watermelons — gross per capita production index number?
- Africa ranks 15th and India ranks 17th 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.