Eswatini vs Qatar: Livestock — Gross per capita Production Index Number (2014-2016 = 100)
Eswatini
116.03
in 2024
Qatar
113.8
in 2024
Eswatini rank
36th
Qatar rank
38th
Livestock — Gross per capita Production Index Number (2014-2016 = 100) over time
- Eswatini
- Qatar
How they compare
Eswatini currently reports 116.03 against 113.8 in Qatar, a difference of 2.23.
The two have swapped places 7 times across 64 shared years of data; in 1961 it was Qatar ahead.
Eswatini ranks 36th and Qatar ranks 38th of 184 countries.
Across the 7 decades both report, Eswatini averaged higher in 2 and Qatar in 5.
Head to head by decade
| Decade | Eswatini | Qatar | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 200.16 | 303.56 | 103.41 | Qatar |
| 1970s | 189.83 | 150.35 | 39.49 | Eswatini |
| 1980s | 151.96 | 143.76 | 8.2 | Eswatini |
| 1990s | 105.09 | 280.42 | 175.33 | Qatar |
| 2000s | 93.25 | 166.77 | 73.52 | Qatar |
| 2010s | 101.53 | 104.91 | 3.37 | Qatar |
| 2020s | 100.71 | 130.58 | 29.87 | Qatar |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher livestock — gross per capita production index number, Eswatini or Qatar?
- Eswatini, at 116.03 against 113.8 in Qatar as of 2024.
- What is the difference in livestock — gross per capita production index number between Eswatini and Qatar?
- 2.23, with Eswatini ahead.
- How many years of comparable data are there for Eswatini and Qatar?
- 64 years are reported by both, from 1961 to 2024.
- How do Eswatini and Qatar rank globally for livestock — gross per capita production index number?
- Eswatini ranks 36th and Qatar ranks 38th of 184 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Livestock — 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.