Lithuania vs South Africa: Livestock — Gross per capita Production Index Number
Lithuania
92.33
in 2024
South Africa
92.14
in 2024
Lithuania rank
121st
South Africa rank
122nd
Livestock — Gross per capita Production Index Number over time
- Lithuania
- South Africa
How they compare
Lithuania currently reports 92.33 against 92.14 in South Africa, a difference of 0.19.
The two have swapped places 8 times across 33 shared years of data; in 1992 it was Lithuania ahead.
Lithuania ranks 121st and South Africa ranks 122nd of 184 countries.
Across the 4 decades both report, Lithuania averaged higher in 3 and South Africa in 1.
Head to head by decade
| Decade | Lithuania | South Africa | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 98.43 | 68.62 | 29.81 | Lithuania |
| 2000s | 87.34 | 77.87 | 9.47 | Lithuania |
| 2010s | 97.38 | 95.91 | 1.47 | Lithuania |
| 2020s | 93.66 | 93.89 | 0.238 | South Africa |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher livestock — gross per capita production index number, Lithuania or South Africa?
- Lithuania, at 92.33 against 92.14 in South Africa as of 2024.
- What is the difference in livestock — gross per capita production index number between Lithuania and South Africa?
- 0.19, with Lithuania ahead.
- How many years of comparable data are there for Lithuania and South Africa?
- 33 years are reported by both, from 1992 to 2024.
- How do Lithuania and South Africa rank globally for livestock — gross per capita production index number?
- Lithuania ranks 121st and South Africa ranks 122nd of 184 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Livestock — 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.