Georgia vs Zimbabwe: Beans, dry — Gross Production Value
Georgia
12,668 1000 SLC
in 2024
Zimbabwe
16,797 1000 SLC
in 2024
Georgia rank
73rd
Zimbabwe rank
71st
Beans, dry — Gross Production Value over time
- Georgia
- Zimbabwe
How they compare
Zimbabwe currently reports 16,797 1000 SLC against 12,668 1000 SLC in Georgia, a difference of 4,129 1000 SLC.
That makes Zimbabwe's figure about 1.3 times Georgia's.
The two have swapped places 10 times across 26 shared years of data; in 1994 it was Zimbabwe ahead.
Georgia ranks 73rd and Zimbabwe ranks 71st of 95 countries.
Across the 4 decades both report, Georgia averaged higher in 3 and Zimbabwe in 1.
Head to head by decade
| Decade | Georgia | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 37,601 1000 SLC | 21,200 1000 SLC | 16,401 1000 SLC | Georgia |
| 2000s | 35,026 1000 SLC | 26,127 1000 SLC | 8,899 1000 SLC | Georgia |
| 2010s | 20,165 1000 SLC | 17,834 1000 SLC | 2,331 1000 SLC | Georgia |
| 2020s | 12,185 1000 SLC | 20,734 1000 SLC | 8,549 1000 SLC | Zimbabwe |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher beans, dry — gross production value, Georgia or Zimbabwe?
- Zimbabwe, at 16,797 1000 SLC against 12,668 1000 SLC in Georgia as of 2024.
- What is the difference in beans, dry — gross production value between Georgia and Zimbabwe?
- 4,129 1000 SLC, with Zimbabwe ahead.
- How many years of comparable data are there for Georgia and Zimbabwe?
- 26 years are reported by both, from 1994 to 2024.
- How do Georgia and Zimbabwe rank globally for beans, dry — gross production value?
- Georgia ranks 73rd and Zimbabwe ranks 71st of 95 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Beans, dry — Gross Production Value (constant 2014-2016 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.