Bosnia and Herzegovina vs Georgia: Sugar beet — Gross Production Value
Bosnia and Herzegovina
45 1000 SLC
in 2024
Georgia
113 1000 SLC
in 2003
Bosnia and Herzegovina rank
51st
Georgia rank
49th
Sugar beet — Gross Production Value over time
- Bosnia and Herzegovina
- Georgia
How they compare
Georgia currently reports 113 1000 SLC against 45 1000 SLC in Bosnia and Herzegovina, a difference of 68 1000 SLC.
That makes Georgia's figure about 2.5 times Bosnia and Herzegovina's.
Across all 7 years both countries report, Georgia has been ahead every year.
Bosnia and Herzegovina ranks 51st and Georgia ranks 49th of 52 countries.
Georgia has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Bosnia and Herzegovina | Georgia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 84.67 1000 SLC | 774 1000 SLC | 689.33 1000 SLC | Georgia |
| 2000s | 66 1000 SLC | 202.75 1000 SLC | 136.75 1000 SLC | Georgia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher sugar beet — gross production value, Bosnia and Herzegovina or Georgia?
- Georgia, at 113 1000 SLC against 45 1000 SLC in Bosnia and Herzegovina as of 2003.
- What is the difference in sugar beet — gross production value between Bosnia and Herzegovina and Georgia?
- 68 1000 SLC, with Georgia ahead.
- How many years of comparable data are there for Bosnia and Herzegovina and Georgia?
- 7 years are reported by both, from 1996 to 2003.
- How do Bosnia and Herzegovina and Georgia rank globally for sugar beet — gross production value?
- Bosnia and Herzegovina ranks 51st and Georgia ranks 49th of 52 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Sugar beet — 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.