Argentina vs Tajikistan: Watermelons — Gross per capita Production Index Number
Argentina
94.32
in 2024
Tajikistan
94.71
in 2024
Argentina rank
64th
Tajikistan rank
63rd
Watermelons — Gross per capita Production Index Number over time
- Argentina
- Tajikistan
How they compare
Tajikistan currently reports 94.71 against 94.32 in Argentina, a difference of 0.39.
The two have swapped places 1 time across 32 shared years of data; in 1993 it was Argentina ahead.
Argentina ranks 64th and Tajikistan ranks 63rd of 109 countries.
Across the 4 decades both report, Argentina averaged higher in 3 and Tajikistan in 1.
Head to head by decade
| Decade | Argentina | Tajikistan | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 124.07 | 22.34 | 101.73 | Argentina |
| 2000s | 111.08 | 41.43 | 69.64 | Argentina |
| 2010s | 100.42 | 97.01 | 3.41 | Argentina |
| 2020s | 94.64 | 98.3 | 3.66 | Tajikistan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Argentina or Tajikistan?
- Tajikistan, at 94.71 against 94.32 in Argentina as of 2024.
- What is the difference in watermelons — gross per capita production index number between Argentina and Tajikistan?
- 0.39, with Tajikistan ahead.
- How many years of comparable data are there for Argentina and Tajikistan?
- 32 years are reported by both, from 1993 to 2024.
- How do Argentina and Tajikistan rank globally for watermelons — gross per capita production index number?
- Argentina ranks 64th and Tajikistan ranks 63rd 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.