Bhutan vs Indonesia: Areca nuts — Gross Production Value
Bhutan
13,519 1000 USD
in 2024
Indonesia
31,137 1000 USD
in 2024
Bhutan rank
6th
Indonesia rank
5th
Areca nuts — Gross Production Value over time
- Bhutan
- Indonesia
How they compare
Indonesia currently reports 31,137 1000 USD against 13,519 1000 USD in Bhutan, a difference of 17,618 1000 USD.
That makes Indonesia's figure about 2.3 times Bhutan's.
Across all 35 years both countries report, Indonesia has been ahead every year.
Bhutan ranks 6th and Indonesia ranks 5th of 10 countries.
Indonesia has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Bhutan | Indonesia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 2,537 1000 USD | 34,190 1000 USD | 31,653 1000 USD | Indonesia |
| 2000s | 4,343 1000 USD | 58,793 1000 USD | 54,450 1000 USD | Indonesia |
| 2010s | 8,875 1000 USD | 42,347 1000 USD | 33,472 1000 USD | Indonesia |
| 2020s | 14,217 1000 USD | 32,054 1000 USD | 17,837 1000 USD | Indonesia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher areca nuts — gross production value, Bhutan or Indonesia?
- Indonesia, at 31,137 1000 USD against 13,519 1000 USD in Bhutan as of 2024.
- What is the difference in areca nuts — gross production value between Bhutan and Indonesia?
- 17,618 1000 USD, with Indonesia ahead.
- How many years of comparable data are there for Bhutan and Indonesia?
- 35 years are reported by both, from 1990 to 2024.
- How do Bhutan and Indonesia rank globally for areca nuts — gross production value?
- Bhutan ranks 6th and Indonesia ranks 5th of 10 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Areca nuts — Gross Production Value (constant 2014-2016 thousand US$). 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.