Bhutan vs South Africa: Watermelons — Gross per capita Production Index Number
Bhutan
109.92
in 2024
South Africa
109.95
in 2024
Bhutan rank
45th
South Africa rank
43rd
Watermelons — Gross per capita Production Index Number over time
- Bhutan
- South Africa
How they compare
South Africa currently reports 109.95 against 109.92 in Bhutan, a difference of 0.03.
The two have swapped places 4 times across 16 shared years of data; in 2009 it was South Africa ahead.
Bhutan ranks 45th and South Africa ranks 43rd of 109 countries.
Across the 3 decades both report, Bhutan averaged higher in 1 and South Africa in 2.
Head to head by decade
| Decade | Bhutan | South Africa | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 12.91 | 110.82 | 97.91 | South Africa |
| 2010s | 103.55 | 114.7 | 11.15 | South Africa |
| 2020s | 182.64 | 91.32 | 91.32 | Bhutan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Bhutan or South Africa?
- South Africa, at 109.95 against 109.92 in Bhutan as of 2024.
- What is the difference in watermelons — gross per capita production index number between Bhutan and South Africa?
- 0.03, with South Africa ahead.
- How many years of comparable data are there for Bhutan and South Africa?
- 16 years are reported by both, from 2009 to 2024.
- How do Bhutan and South Africa rank globally for watermelons — gross per capita production index number?
- Bhutan ranks 45th and South Africa ranks 43rd 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.