Mauritania vs Nepal: Millet — Gross per capita Production Index Number
Mauritania
91.08
in 2024
Nepal
92.5
in 2024
Mauritania rank
33rd
Nepal rank
31st
Millet — Gross per capita Production Index Number over time
- Mauritania
- Nepal
How they compare
Nepal currently reports 92.5 against 91.08 in Mauritania, a difference of 1.42.
The two have swapped places 15 times across 64 shared years of data; in 1961 it was Mauritania ahead.
Mauritania ranks 33rd and Nepal ranks 31st of 78 countries.
Across the 7 decades both report, Mauritania averaged higher in 6 and Nepal in 1.
Head to head by decade
| Decade | Mauritania | Nepal | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 1,164 | 76.73 | 1,087 | Mauritania |
| 1970s | 391.91 | 89.34 | 302.57 | Mauritania |
| 1980s | 491.31 | 75.23 | 416.08 | Mauritania |
| 1990s | 312.41 | 109.52 | 202.89 | Mauritania |
| 2000s | 196.82 | 99.91 | 96.9 | Mauritania |
| 2010s | 107.69 | 100.85 | 6.84 | Mauritania |
| 2020s | 86.19 | 98.84 | 12.65 | Nepal |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher millet — gross per capita production index number, Mauritania or Nepal?
- Nepal, at 92.5 against 91.08 in Mauritania as of 2024.
- What is the difference in millet — gross per capita production index number between Mauritania and Nepal?
- 1.42, with Nepal ahead.
- How many years of comparable data are there for Mauritania and Nepal?
- 64 years are reported by both, from 1961 to 2024.
- How do Mauritania and Nepal rank globally for millet — gross per capita production index number?
- Mauritania ranks 33rd and Nepal ranks 31st of 78 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Millet — 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.