Slovakia vs South-Eastern Asia: Watermelons — Gross per capita Production Index Number
Slovakia
138.43
in 2017
South-Eastern Asia
89.6
in 2024
Slovakia rank
22nd
South-Eastern Asia rank
23rd
Watermelons — Gross per capita Production Index Number over time
- Slovakia
- South-Eastern Asia
How they compare
Slovakia currently reports 138.43 against 89.6 in South-Eastern Asia, a difference of 48.83.
That makes Slovakia's figure about 1.5 times South-Eastern Asia's.
The two have swapped places 6 times across 25 shared years of data; in 1993 it was Slovakia ahead.
Slovakia ranks 22nd and South-Eastern Asia ranks 23rd of 109 countries.
Across the 3 decades both report, Slovakia averaged higher in 2 and South-Eastern Asia in 1.
Head to head by decade
| Decade | Slovakia | South-Eastern Asia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 971.68 | 54.57 | 917.1 | Slovakia |
| 2000s | 286.65 | 79.03 | 207.62 | Slovakia |
| 2010s | 91.79 | 96.34 | 4.56 | South-Eastern Asia |
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-Eastern Asia?
- Slovakia, at 138.43 against 89.6 in South-Eastern Asia as of 2017.
- What is the difference in watermelons — gross per capita production index number between Slovakia and South-Eastern Asia?
- 48.83, with Slovakia ahead.
- How many years of comparable data are there for Slovakia and South-Eastern Asia?
- 25 years are reported by both, from 1993 to 2017.
- How do Slovakia and South-Eastern Asia rank globally for watermelons — gross per capita production index number?
- Slovakia ranks 22nd and South-Eastern Asia ranks 23rd 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.