Jordan vs Sri Lanka: Livestock — Gross per capita Production Index Number (2014-2016 = 100)
Jordan
123.56
in 2024
Sri Lanka
123.13
in 2024
Jordan rank
17th
Sri Lanka rank
19th
Livestock — Gross per capita Production Index Number (2014-2016 = 100) over time
- Jordan
- Sri Lanka
How they compare
Jordan currently reports 123.56 against 123.13 in Sri Lanka, a difference of 0.43.
The two have swapped places 8 times across 64 shared years of data; in 1961 it was Jordan ahead.
Jordan ranks 17th and Sri Lanka ranks 19th of 184 countries.
Jordan has averaged higher in every one of the 7 decades both report.
Head to head by decade
| Decade | Jordan | Sri Lanka | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 89.37 | 69.19 | 20.17 | Jordan |
| 1970s | 69.17 | 65.04 | 4.13 | Jordan |
| 1980s | 81.94 | 61.04 | 20.9 | Jordan |
| 1990s | 99.4 | 68.3 | 31.11 | Jordan |
| 2000s | 104.09 | 68.08 | 36.01 | Jordan |
| 2010s | 109.23 | 97.27 | 11.96 | Jordan |
| 2020s | 122.37 | 118.94 | 3.43 | Jordan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher livestock — gross per capita production index number, Jordan or Sri Lanka?
- Jordan, at 123.56 against 123.13 in Sri Lanka as of 2024.
- What is the difference in livestock — gross per capita production index number between Jordan and Sri Lanka?
- 0.43, with Jordan ahead.
- How many years of comparable data are there for Jordan and Sri Lanka?
- 64 years are reported by both, from 1961 to 2024.
- How do Jordan and Sri Lanka rank globally for livestock — gross per capita production index number?
- Jordan ranks 17th and Sri Lanka ranks 19th 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.