Lithuania vs South Africa: Apples — Gross per capita Production Index Number
Lithuania
134.85
in 2017
South Africa
133.92
in 2024
Lithuania rank
7th
South Africa rank
8th
Apples — Gross per capita Production Index Number over time
- Lithuania
- South Africa
How they compare
Lithuania currently reports 134.85 against 133.92 in South Africa, a difference of 0.93.
The two have swapped places 12 times across 26 shared years of data; in 1992 it was Lithuania ahead.
Lithuania ranks 7th and South Africa ranks 8th of 90 countries.
Across the 3 decades both report, Lithuania averaged higher in 2 and South Africa in 1.
Head to head by decade
| Decade | Lithuania | South Africa | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 141.59 | 81.78 | 59.81 | Lithuania |
| 2000s | 107.26 | 92.08 | 15.18 | Lithuania |
| 2010s | 93.99 | 98.86 | 4.86 | South Africa |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher apples — gross per capita production index number, Lithuania or South Africa?
- Lithuania, at 134.85 against 133.92 in South Africa as of 2017.
- What is the difference in apples — gross per capita production index number between Lithuania and South Africa?
- 0.93, with Lithuania ahead.
- How many years of comparable data are there for Lithuania and South Africa?
- 26 years are reported by both, from 1992 to 2017.
- How do Lithuania and South Africa rank globally for apples — gross per capita production index number?
- Lithuania ranks 7th and South Africa ranks 8th of 90 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Apples — 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.