Bhutan vs Sudan (former): Cereals, primary — Gross Production Value
Cereals, primary — Gross Production Value over time
- Bhutan
- Sudan (former)
How they compare
Bhutan currently reports 8.11 million 1000 SLC against 7.27 million 1000 SLC in Sudan (former), a difference of 840,950 1000 SLC.
That makes Bhutan's figure about 1.1 times Sudan (former)'s.
The two have swapped places 7 times across 21 shared years of data; in 1991 it was Bhutan ahead.
Bhutan ranks 80th and Sudan (former) ranks 81st of 152 countries.
Across the 3 decades both report, Bhutan averaged higher in 1 and Sudan (former) in 2.
Head to head by decade
| Decade | Bhutan | Sudan (former) | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 911,641 1000 SLC | 586,936 1000 SLC | 324,706 1000 SLC | Bhutan |
| 2000s | 2.80 million 1000 SLC | 3.26 million 1000 SLC | 462,534 1000 SLC | Sudan (former) |
| 2010s | 4.88 million 1000 SLC | 6.00 million 1000 SLC | 1.11 million 1000 SLC | Sudan (former) |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher cereals, primary — gross production value, Bhutan or Sudan (former)?
- Bhutan, at 8.11 million 1000 SLC against 7.27 million 1000 SLC in Sudan (former) as of 2024.
- What is the difference in cereals, primary — gross production value between Bhutan and Sudan (former)?
- 840,950 1000 SLC, with Bhutan ahead.
- How many years of comparable data are there for Bhutan and Sudan (former)?
- 21 years are reported by both, from 1991 to 2011.
- How do Bhutan and Sudan (former) rank globally for cereals, primary — gross production value?
- Bhutan ranks 80th and Sudan (former) ranks 81st of 152 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Cereals, primary — 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.