Brazil vs Ethiopia: Beans, dry — Gross Production Value
Brazil
12.17 million 1000 SLC
in 2024
Ethiopia
12.70 million 1000 SLC
in 2024
Brazil rank
25th
Ethiopia rank
24th
Beans, dry — Gross Production Value over time
- Brazil
- Ethiopia
How they compare
Ethiopia currently reports 12.70 million 1000 SLC against 12.17 million 1000 SLC in Brazil, a difference of 530,500 1000 SLC.
The two have swapped places 4 times across 32 shared years of data; in 1993 it was Ethiopia ahead.
Brazil ranks 25th and Ethiopia ranks 24th of 98 countries.
Across the 4 decades both report, Brazil averaged higher in 3 and Ethiopia in 1.
Head to head by decade
| Decade | Brazil | Ethiopia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 1.52 million 1000 SLC | 116,810 1000 SLC | 1.40 million 1000 SLC | Brazil |
| 2000s | 4.18 million 1000 SLC | 622,518 1000 SLC | 3.56 million 1000 SLC | Brazil |
| 2010s | 7.65 million 1000 SLC | 7.42 million 1000 SLC | 226,289 1000 SLC | Brazil |
| 2020s | 11.82 million 1000 SLC | 13.97 million 1000 SLC | 2.15 million 1000 SLC | Ethiopia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher beans, dry — gross production value, Brazil or Ethiopia?
- Ethiopia, at 12.70 million 1000 SLC against 12.17 million 1000 SLC in Brazil as of 2024.
- What is the difference in beans, dry — gross production value between Brazil and Ethiopia?
- 530,500 1000 SLC, with Ethiopia ahead.
- How many years of comparable data are there for Brazil and Ethiopia?
- 32 years are reported by both, from 1993 to 2024.
- How do Brazil and Ethiopia rank globally for beans, dry — gross production value?
- Brazil ranks 25th and Ethiopia ranks 24th of 98 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Beans, dry — 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.