Brunei Darussalam vs India: Watermelons — Gross per capita Production Index Number
Brunei Darussalam
161.41
in 2024
India
162.86
in 2024
Brunei Darussalam rank
18th
India rank
17th
Watermelons — Gross per capita Production Index Number over time
- Brunei Darussalam
- India
How they compare
India currently reports 162.86 against 161.41 in Brunei Darussalam, a difference of 1.45.
The two have swapped places 7 times across 35 shared years of data; in 1990 it was Brunei Darussalam ahead.
Brunei Darussalam ranks 18th and India ranks 17th of 109 countries.
Brunei Darussalam has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Brunei Darussalam | India | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 47.31 | 31.15 | 16.17 | Brunei Darussalam |
| 2000s | 72.72 | 54.46 | 18.26 | Brunei Darussalam |
| 2010s | 101.08 | 94.24 | 6.84 | Brunei Darussalam |
| 2020s | 170.95 | 151.87 | 19.08 | Brunei Darussalam |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Brunei Darussalam or India?
- India, at 162.86 against 161.41 in Brunei Darussalam as of 2024.
- What is the difference in watermelons — gross per capita production index number between Brunei Darussalam and India?
- 1.45, with India ahead.
- How many years of comparable data are there for Brunei Darussalam and India?
- 35 years are reported by both, from 1990 to 2024.
- How do Brunei Darussalam and India rank globally for watermelons — gross per capita production index number?
- Brunei Darussalam ranks 18th and India ranks 17th 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.