Lithuania vs Mongolia: Cereals n.e.c. — Gross per capita Production Index Number
Lithuania
15.02
in 2017
Mongolia
24.96
in 2024
Lithuania rank
56th
Mongolia rank
54th
Cereals n.e.c. — Gross per capita Production Index Number over time
- Lithuania
- Mongolia
How they compare
Mongolia currently reports 24.96 against 15.02 in Lithuania, a difference of 9.94.
That makes Mongolia's figure about 1.7 times Lithuania's.
The two have swapped places 4 times across 17 shared years of data; in 1999 it was Mongolia ahead.
Lithuania ranks 56th and Mongolia ranks 54th of 58 countries.
Across the 3 decades both report, Lithuania averaged higher in 2 and Mongolia in 1.
Head to head by decade
| Decade | Lithuania | Mongolia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 33.06 | 36.36 | 3.3 | Mongolia |
| 2000s | 82.19 | 23.75 | 58.44 | Lithuania |
| 2010s | 162.69 | 70.66 | 92.03 | Lithuania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher cereals n.e.c. — gross per capita production index number, Lithuania or Mongolia?
- Mongolia, at 24.96 against 15.02 in Lithuania as of 2024.
- What is the difference in cereals n.e.c. — gross per capita production index number between Lithuania and Mongolia?
- 9.94, with Mongolia ahead.
- How many years of comparable data are there for Lithuania and Mongolia?
- 17 years are reported by both, from 1999 to 2017.
- How do Lithuania and Mongolia rank globally for cereals n.e.c. — gross per capita production index number?
- Lithuania ranks 56th and Mongolia ranks 54th of 58 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Cereals n.e.c. — 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.