Bhutan vs Cook Islands: Watermelons — Gross Production Value
Bhutan
11 1000 Int$
in 2024
Cook Islands
15 1000 Int$
in 2024
Bhutan rank
118th
Cook Islands rank
117th
Watermelons — Gross Production Value over time
- Bhutan
- Cook Islands
How they compare
Cook Islands currently reports 15 1000 Int$ against 11 1000 Int$ in Bhutan, a difference of 4 1000 Int$.
That makes Cook Islands's figure about 1.4 times Bhutan's.
The two have swapped places 2 times across 16 shared years of data; in 2009 it was Cook Islands ahead.
Bhutan ranks 118th and Cook Islands ranks 117th of 118 countries.
Across the 3 decades both report, Bhutan averaged higher in 1 and Cook Islands in 2.
Head to head by decade
| Decade | Bhutan | Cook Islands | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 1 1000 Int$ | 18 1000 Int$ | 17 1000 Int$ | Cook Islands |
| 2010s | 9.9 1000 Int$ | 15.2 1000 Int$ | 5.3 1000 Int$ | Cook Islands |
| 2020s | 18.2 1000 Int$ | 14.8 1000 Int$ | 3.4 1000 Int$ | Bhutan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production value, Bhutan or Cook Islands?
- Cook Islands, at 15 1000 Int$ against 11 1000 Int$ in Bhutan as of 2024.
- What is the difference in watermelons — gross production value between Bhutan and Cook Islands?
- 4 1000 Int$, with Cook Islands ahead.
- How many years of comparable data are there for Bhutan and Cook Islands?
- 16 years are reported by both, from 2009 to 2024.
- How do Bhutan and Cook Islands rank globally for watermelons — gross production value?
- Bhutan ranks 118th and Cook Islands ranks 117th of 118 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Watermelons — Gross Production Value (constant 2014-2016 thousand I$). 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.