Georgia vs Rwanda: Tea leaves — Gross per capita Production Index Number
Georgia
112.58
in 2024
Rwanda
119.55
in 2024
Georgia rank
13th
Rwanda rank
10th
Tea leaves — Gross per capita Production Index Number over time
- Georgia
- Rwanda
How they compare
Rwanda currently reports 119.55 against 112.58 in Georgia, a difference of 6.97.
That makes Rwanda's figure about 1.1 times Georgia's.
The two have swapped places 5 times across 31 shared years of data; in 1994 it was Georgia ahead.
Georgia ranks 13th and Rwanda ranks 10th of 41 countries.
Across the 4 decades both report, Georgia averaged higher in 3 and Rwanda in 1.
Head to head by decade
| Decade | Georgia | Rwanda | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 1,595 | 62.07 | 1,533 | Georgia |
| 2000s | 655.93 | 87.66 | 568.27 | Georgia |
| 2010s | 108.69 | 102.47 | 6.22 | Georgia |
| 2020s | 110.25 | 119.49 | 9.24 | Rwanda |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher tea leaves — gross per capita production index number, Georgia or Rwanda?
- Rwanda, at 119.55 against 112.58 in Georgia as of 2024.
- What is the difference in tea leaves — gross per capita production index number between Georgia and Rwanda?
- 6.97, with Rwanda ahead.
- How many years of comparable data are there for Georgia and Rwanda?
- 31 years are reported by both, from 1994 to 2024.
- How do Georgia and Rwanda rank globally for tea leaves — gross per capita production index number?
- Georgia ranks 13th and Rwanda ranks 10th of 41 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Tea leaves — Gross per capita Production Index Number (2014-2016 = 100). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The FAO indices of agricultural production show the relative level of the aggregate volume of agricultural production for each year in comparison with the base period 2014-2016. Indices for meat production are computed based on data on production from indigenous animals.