Brunei Darussalam vs Qatar: Watermelons — Gross Production Value
Brunei Darussalam
540 1000 SLC
in 2024
Qatar
1,803 1000 SLC
in 2024
Brunei Darussalam rank
87th
Qatar rank
84th
Watermelons — Gross Production Value over time
- Brunei Darussalam
- Qatar
How they compare
Qatar currently reports 1,803 1000 SLC against 540 1000 SLC in Brunei Darussalam, a difference of 1,263 1000 SLC.
That makes Qatar's figure about 3.3 times Brunei Darussalam's.
The two have swapped places 4 times across 34 shared years of data; in 1991 it was Qatar ahead.
Brunei Darussalam ranks 87th and Qatar ranks 84th of 90 countries.
Qatar has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Brunei Darussalam | Qatar | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 87.67 1000 SLC | 2,335 1000 SLC | 2,247 1000 SLC | Qatar |
| 2000s | 121.7 1000 SLC | 739.5 1000 SLC | 617.8 1000 SLC | Qatar |
| 2010s | 262.9 1000 SLC | 391.5 1000 SLC | 128.6 1000 SLC | Qatar |
| 2020s | 547.2 1000 SLC | 1,157 1000 SLC | 609.6 1000 SLC | Qatar |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production value, Brunei Darussalam or Qatar?
- Qatar, at 1,803 1000 SLC against 540 1000 SLC in Brunei Darussalam as of 2024.
- What is the difference in watermelons — gross production value between Brunei Darussalam and Qatar?
- 1,263 1000 SLC, with Qatar ahead.
- How many years of comparable data are there for Brunei Darussalam and Qatar?
- 34 years are reported by both, from 1991 to 2024.
- How do Brunei Darussalam and Qatar rank globally for watermelons — gross production value?
- Brunei Darussalam ranks 87th and Qatar ranks 84th of 90 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Watermelons — Gross Production Value (current thousand SLC). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The domain provides detailed data on the value of agricultural production that is calculated by the agricultural production data and the price data at farm gate. Thus, the value of production measures the agricultural production in monetary terms at the farm gate level.