Georgia vs Pakistan: Soya beans — Gross Production Value
Georgia
1,887 1000 SLC
in 2024
Pakistan
138 1000 SLC
in 2024
Georgia rank
66th
Pakistan rank
68th
Soya beans — Gross Production Value over time
- Georgia
- Pakistan
How they compare
Georgia currently reports 1,887 1000 SLC against 138 1000 SLC in Pakistan, a difference of 1,749 1000 SLC.
That makes Georgia's figure about 13.7 times Pakistan's.
The two have swapped places 5 times across 31 shared years of data; in 1994 it was Pakistan ahead.
Georgia ranks 66th and Pakistan ranks 68th of 73 countries.
Across the 4 decades both report, Georgia averaged higher in 1 and Pakistan in 3.
Head to head by decade
| Decade | Georgia | Pakistan | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 852.5 1000 SLC | 247,009 1000 SLC | 246,157 1000 SLC | Pakistan |
| 2000s | 2,258 1000 SLC | 26,178 1000 SLC | 23,920 1000 SLC | Pakistan |
| 2010s | 1,792 1000 SLC | 2,092 1000 SLC | 300.5 1000 SLC | Pakistan |
| 2020s | 2,830 1000 SLC | 2,459 1000 SLC | 370.8 1000 SLC | Georgia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher soya beans — gross production value, Georgia or Pakistan?
- Georgia, at 1,887 1000 SLC against 138 1000 SLC in Pakistan as of 2024.
- What is the difference in soya beans — gross production value between Georgia and Pakistan?
- 1,749 1000 SLC, with Georgia ahead.
- How many years of comparable data are there for Georgia and Pakistan?
- 31 years are reported by both, from 1994 to 2024.
- How do Georgia and Pakistan rank globally for soya beans — gross production value?
- Georgia ranks 66th and Pakistan ranks 68th of 73 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Soya beans — 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.