Indonesia vs Lithuania: Maize (corn) — Gross per capita Production Index Number
Indonesia
67.47
in 2024
Lithuania
68.13
in 2017
Indonesia rank
126th
Lithuania rank
123rd
Maize (corn) — Gross per capita Production Index Number over time
- Indonesia
- Lithuania
How they compare
Lithuania currently reports 68.13 against 67.47 in Indonesia, a difference of 0.66.
The two have swapped places 2 times across 26 shared years of data; in 1992 it was Indonesia ahead.
Indonesia ranks 126th and Lithuania ranks 123rd of 147 countries.
Indonesia has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Indonesia | Lithuania | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 52.38 | 8.1 | 44.27 | Indonesia |
| 2000s | 66.79 | 13.04 | 53.75 | Indonesia |
| 2010s | 98.83 | 91.88 | 6.95 | Indonesia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher maize (corn) — gross per capita production index number, Indonesia or Lithuania?
- Lithuania, at 68.13 against 67.47 in Indonesia as of 2017.
- What is the difference in maize (corn) — gross per capita production index number between Indonesia and Lithuania?
- 0.66, with Lithuania ahead.
- How many years of comparable data are there for Indonesia and Lithuania?
- 26 years are reported by both, from 1992 to 2017.
- How do Indonesia and Lithuania rank globally for maize (corn) — gross per capita production index number?
- Indonesia ranks 126th and Lithuania ranks 123rd of 147 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Maize (corn) — 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.