Libya vs Mauritania: Food — Gross per capita Production Index Number (2014-2016 = 100)
Libya
92.7
in 2024
Mauritania
92.75
in 2024
Libya rank
128th
Mauritania rank
127th
Food — Gross per capita Production Index Number (2014-2016 = 100) over time
- Libya
- Mauritania
How they compare
Mauritania currently reports 92.75 against 92.7 in Libya, a difference of 0.05.
The two have swapped places 12 times across 64 shared years of data; in 1961 it was Mauritania ahead.
Libya ranks 128th and Mauritania ranks 127th of 185 countries.
Across the 7 decades both report, Libya averaged higher in 4 and Mauritania in 3.
Head to head by decade
| Decade | Libya | Mauritania | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 73.54 | 157.06 | 83.52 | Mauritania |
| 1970s | 97.75 | 117.87 | 20.11 | Mauritania |
| 1980s | 103.13 | 111.26 | 8.13 | Mauritania |
| 1990s | 107.95 | 98.45 | 9.5 | Libya |
| 2000s | 104.37 | 103.29 | 1.08 | Libya |
| 2010s | 103.02 | 98.91 | 4.11 | Libya |
| 2020s | 95.75 | 94.65 | 1.1 | Libya |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher food — gross per capita production index number, Libya or Mauritania?
- Mauritania, at 92.75 against 92.7 in Libya as of 2024.
- What is the difference in food — gross per capita production index number between Libya and Mauritania?
- 0.05, with Mauritania ahead.
- How many years of comparable data are there for Libya and Mauritania?
- 64 years are reported by both, from 1961 to 2024.
- How do Libya and Mauritania rank globally for food — gross per capita production index number?
- Libya ranks 128th and Mauritania ranks 127th of 185 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Food — 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.