Slovakia vs South America: Watermelons — Gross per capita Production Index Number
Slovakia
138.43
in 2017
South America
91.59
in 2024
Slovakia rank
22nd
South America rank
22nd
Watermelons — Gross per capita Production Index Number over time
- Slovakia
- South America
How they compare
Slovakia currently reports 138.43 against 91.59 in South America, a difference of 46.84.
That makes Slovakia's figure about 1.5 times South America's.
The two have swapped places 4 times across 25 shared years of data; in 1993 it was Slovakia ahead.
Slovakia ranks 22nd and South America ranks 22nd of 109 countries.
Across the 3 decades both report, Slovakia averaged higher in 2 and South America in 1.
Head to head by decade
| Decade | Slovakia | South America | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 971.68 | 56.43 | 915.24 | Slovakia |
| 2000s | 286.65 | 92.54 | 194.11 | Slovakia |
| 2010s | 91.79 | 102.38 | 10.59 | South America |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Slovakia or South America?
- Slovakia, at 138.43 against 91.59 in South America as of 2017.
- What is the difference in watermelons — gross per capita production index number between Slovakia and South America?
- 46.84, with Slovakia ahead.
- How many years of comparable data are there for Slovakia and South America?
- 25 years are reported by both, from 1993 to 2017.
- How do Slovakia and South America rank globally for watermelons — gross per capita production index number?
- Slovakia ranks 22nd and South America ranks 22nd 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.