Liberia vs Myanmar: Soya beans — Gross per capita Production Index Number
Liberia
87.35
in 2024
Myanmar
85.58
in 2024
Liberia rank
62nd
Myanmar rank
65th
Soya beans — Gross per capita Production Index Number over time
- Liberia
- Myanmar
How they compare
Liberia currently reports 87.35 against 85.58 in Myanmar, a difference of 1.77.
The two have swapped places 4 times across 64 shared years of data; in 1961 it was Liberia ahead.
Liberia ranks 62nd and Myanmar ranks 65th of 85 countries.
Across the 7 decades both report, Liberia averaged higher in 6 and Myanmar in 1.
Head to head by decade
| Decade | Liberia | Myanmar | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 115.59 | 11.73 | 103.86 | Liberia |
| 1970s | 122.44 | 15.33 | 107.11 | Liberia |
| 1980s | 128.07 | 20.25 | 107.82 | Liberia |
| 1990s | 139.19 | 42.28 | 96.91 | Liberia |
| 2000s | 131.29 | 122.77 | 8.52 | Liberia |
| 2010s | 100.91 | 107.2 | 6.29 | Myanmar |
| 2020s | 90.65 | 84.24 | 6.4 | Liberia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher soya beans — gross per capita production index number, Liberia or Myanmar?
- Liberia, at 87.35 against 85.58 in Myanmar as of 2024.
- What is the difference in soya beans — gross per capita production index number between Liberia and Myanmar?
- 1.77, with Liberia ahead.
- How many years of comparable data are there for Liberia and Myanmar?
- 64 years are reported by both, from 1961 to 2024.
- How do Liberia and Myanmar rank globally for soya beans — gross per capita production index number?
- Liberia ranks 62nd and Myanmar ranks 65th of 85 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Soya beans — 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.