Brunei Darussalam vs Southern Asia: Watermelons — Gross Production Index Number
Watermelons — Gross Production Index Number over time
- Brunei Darussalam
- Southern Asia
How they compare
Brunei Darussalam currently reports 176.63 against 103.78 in Southern Asia, a difference of 72.85.
That makes Brunei Darussalam's figure about 1.7 times Southern Asia's.
The two have swapped places 9 times across 35 shared years of data; in 1990 it was Southern Asia ahead.
Brunei Darussalam ranks 17th and Southern Asia ranks 17th of 109 countries.
Across the 4 decades both report, Brunei Darussalam averaged higher in 3 and Southern Asia in 1.
Head to head by decade
| Decade | Brunei Darussalam | Southern Asia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 32.8 | 41.31 | 8.51 | Southern Asia |
| 2000s | 61.09 | 58.11 | 2.97 | Brunei Darussalam |
| 2010s | 100.9 | 85.04 | 15.86 | Brunei Darussalam |
| 2020s | 184.05 | 102.26 | 81.79 | Brunei Darussalam |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production index number, Brunei Darussalam or Southern Asia?
- Brunei Darussalam, at 176.63 against 103.78 in Southern Asia as of 2024.
- What is the difference in watermelons — gross production index number between Brunei Darussalam and Southern Asia?
- 72.85, with Brunei Darussalam ahead.
- How many years of comparable data are there for Brunei Darussalam and Southern Asia?
- 35 years are reported by both, from 1990 to 2024.
- How do Brunei Darussalam and Southern Asia rank globally for watermelons — gross production index number?
- Brunei Darussalam ranks 17th and Southern Asia ranks 17th of 109 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Watermelons — Gross 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.