Lithuania vs Uzbekistan: Quinces — Gross per capita Production Index Number
Lithuania
47.21
in 2017
Uzbekistan
62.03
in 2024
Lithuania rank
42nd
Uzbekistan rank
39th
Quinces — Gross per capita Production Index Number over time
- Lithuania
- Uzbekistan
How they compare
Uzbekistan currently reports 62.03 against 47.21 in Lithuania, a difference of 14.82.
That makes Uzbekistan's figure about 1.3 times Lithuania's.
The two have swapped places 4 times across 19 shared years of data; in 1999 it was Uzbekistan ahead.
Lithuania ranks 42nd and Uzbekistan ranks 39th of 45 countries.
Across the 3 decades both report, Lithuania averaged higher in 1 and Uzbekistan in 2.
Head to head by decade
| Decade | Lithuania | Uzbekistan | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 15.29 | 21.66 | 6.37 | Uzbekistan |
| 2000s | 40.26 | 37.1 | 3.16 | Lithuania |
| 2010s | 52.33 | 88.67 | 36.34 | Uzbekistan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher quinces — gross per capita production index number, Lithuania or Uzbekistan?
- Uzbekistan, at 62.03 against 47.21 in Lithuania as of 2024.
- What is the difference in quinces — gross per capita production index number between Lithuania and Uzbekistan?
- 14.82, with Uzbekistan ahead.
- How many years of comparable data are there for Lithuania and Uzbekistan?
- 19 years are reported by both, from 1999 to 2017.
- How do Lithuania and Uzbekistan rank globally for quinces — gross per capita production index number?
- Lithuania ranks 42nd and Uzbekistan ranks 39th of 45 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Quinces — 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.