Europe vs Pakistan: Watermelons — Gross per capita Production Index Number
Europe
104.86
in 2024
Pakistan
185.75
in 2024
Europe rank
12th
Pakistan rank
13th
Watermelons — Gross per capita Production Index Number over time
- Europe
- Pakistan
How they compare
Pakistan currently reports 185.75 against 104.86 in Europe, a difference of 80.89.
That makes Pakistan's figure about 1.8 times Europe's.
The two have swapped places 12 times across 64 shared years of data; in 1961 it was Pakistan ahead.
Europe ranks 12th and Pakistan ranks 13th of 27 groups.
Across the 7 decades both report, Europe averaged higher in 1 and Pakistan in 6.
Head to head by decade
| Decade | Europe | Pakistan | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 104.54 | 114.94 | 10.4 | Pakistan |
| 1970s | 117.6 | 143.99 | 26.39 | Pakistan |
| 1980s | 135.93 | 118.49 | 17.44 | Europe |
| 1990s | 86.02 | 135.42 | 49.41 | Pakistan |
| 2000s | 90.16 | 90.48 | 0.325 | Pakistan |
| 2010s | 101.78 | 113.29 | 11.51 | Pakistan |
| 2020s | 100.33 | 236.53 | 136.21 | Pakistan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Europe or Pakistan?
- Pakistan, at 185.75 against 104.86 in Europe as of 2024.
- What is the difference in watermelons — gross per capita production index number between Europe and Pakistan?
- 80.89, with Pakistan ahead.
- How many years of comparable data are there for Europe and Pakistan?
- 64 years are reported by both, from 1961 to 2024.
- How do Europe and Pakistan rank globally for watermelons — gross per capita production index number?
- Europe ranks 12th and Pakistan ranks 13th 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.