Africa vs Bulgaria: Watermelons — Gross per capita Production Index Number
Africa
100.87
in 2024
Bulgaria
183.18
in 2017
Africa rank
15th
Bulgaria rank
14th
Watermelons — Gross per capita Production Index Number over time
- Africa
- Bulgaria
How they compare
Bulgaria currently reports 183.18 against 100.87 in Africa, a difference of 82.31.
That makes Bulgaria's figure about 1.8 times Africa's.
The two have swapped places 4 times across 50 shared years of data; in 1961 it was Bulgaria ahead.
Africa ranks 15th and Bulgaria ranks 14th of 27 groups.
Bulgaria has averaged higher in every one of the 6 decades both report.
Head to head by decade
| Decade | Africa | Bulgaria | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 87.5 | 440.58 | 353.08 | Bulgaria |
| 1970s | 92.78 | 411.9 | 319.13 | Bulgaria |
| 1980s | 85.73 | 374.88 | 289.15 | Bulgaria |
| 1990s | 86.45 | 432.28 | 345.83 | Bulgaria |
| 2000s | 97.44 | 196.46 | 99.02 | Bulgaria |
| 2010s | 96.22 | 111.38 | 15.16 | Bulgaria |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Africa or Bulgaria?
- Bulgaria, at 183.18 against 100.87 in Africa as of 2017.
- What is the difference in watermelons — gross per capita production index number between Africa and Bulgaria?
- 82.31, with Bulgaria ahead.
- How many years of comparable data are there for Africa and Bulgaria?
- 50 years are reported by both, from 1961 to 2017.
- How do Africa and Bulgaria rank globally for watermelons — gross per capita production index number?
- Africa ranks 15th and Bulgaria ranks 14th 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.