Bulgaria vs Pakistan: Watermelons — Gross per capita Production Index Number
Bulgaria
183.18
in 2017
Pakistan
185.75
in 2024
Bulgaria rank
14th
Pakistan rank
13th
Watermelons — Gross per capita Production Index Number over time
- Bulgaria
- Pakistan
How they compare
Pakistan currently reports 185.75 against 183.18 in Bulgaria, a difference of 2.57.
The two have swapped places 4 times across 50 shared years of data; in 1961 it was Bulgaria ahead.
Bulgaria ranks 14th and Pakistan ranks 13th of 109 countries.
Bulgaria has averaged higher in every one of the 6 decades both report.
Head to head by decade
| Decade | Bulgaria | Pakistan | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 440.58 | 114.94 | 325.64 | Bulgaria |
| 1970s | 411.9 | 143.99 | 267.92 | Bulgaria |
| 1980s | 374.88 | 118.49 | 256.39 | Bulgaria |
| 1990s | 432.28 | 140.04 | 292.24 | Bulgaria |
| 2000s | 196.46 | 90.48 | 105.98 | Bulgaria |
| 2010s | 111.38 | 93.06 | 18.32 | 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 Pakistan?
- Pakistan, at 185.75 against 183.18 in Bulgaria as of 2024.
- What is the difference in watermelons — gross per capita production index number between Bulgaria and Pakistan?
- 2.57, with Pakistan ahead.
- How many years of comparable data are there for Bulgaria and Pakistan?
- 50 years are reported by both, from 1961 to 2017.
- How do Bulgaria and Pakistan rank globally for watermelons — gross per capita production index number?
- Bulgaria ranks 14th and Pakistan ranks 13th 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.