Bulgaria vs Peru: Watermelons — Gross per capita Production Index Number
Bulgaria
183.18
in 2017
Peru
172.09
in 2024
Bulgaria rank
14th
Peru rank
15th
Watermelons — Gross per capita Production Index Number over time
- Bulgaria
- Peru
How they compare
Bulgaria currently reports 183.18 against 172.09 in Peru, a difference of 11.09.
That makes Bulgaria's figure about 1.1 times Peru's.
The two have swapped places 6 times across 50 shared years of data; in 1961 it was Bulgaria ahead.
Bulgaria ranks 14th and Peru ranks 15th of 109 countries.
Bulgaria has averaged higher in every one of the 6 decades both report.
Head to head by decade
| Decade | Bulgaria | Peru | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 440.58 | 125.62 | 314.97 | Bulgaria |
| 1970s | 411.9 | 83.1 | 328.81 | Bulgaria |
| 1980s | 374.88 | 73.02 | 301.86 | Bulgaria |
| 1990s | 432.28 | 80.77 | 351.5 | Bulgaria |
| 2000s | 196.46 | 80.94 | 115.52 | Bulgaria |
| 2010s | 111.38 | 102.24 | 9.14 | Bulgaria |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Bulgaria or Peru?
- Bulgaria, at 183.18 against 172.09 in Peru as of 2017.
- What is the difference in watermelons — gross per capita production index number between Bulgaria and Peru?
- 11.09, with Bulgaria ahead.
- How many years of comparable data are there for Bulgaria and Peru?
- 50 years are reported by both, from 1961 to 2017.
- How do Bulgaria and Peru rank globally for watermelons — gross per capita production index number?
- Bulgaria ranks 14th and Peru ranks 15th of 109 countries.
- 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.