Angola vs Croatia: Livestock — Gross per capita Production Index Number (2014-2016 = 100)
Angola
94.11
in 2024
Croatia
93.51
in 2024
Angola rank
114th
Croatia rank
117th
Livestock — Gross per capita Production Index Number (2014-2016 = 100) over time
- Angola
- Croatia
How they compare
Angola currently reports 94.11 against 93.51 in Croatia, a difference of 0.6.
The two have swapped places 4 times across 33 shared years of data; in 1992 it was Angola ahead.
Angola ranks 114th and Croatia ranks 117th of 184 countries.
Across the 4 decades both report, Angola averaged higher in 3 and Croatia in 1.
Head to head by decade
| Decade | Angola | Croatia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 110.39 | 66.37 | 44.02 | Angola |
| 2000s | 106.56 | 74.66 | 31.9 | Angola |
| 2010s | 99.2 | 98.91 | 0.286 | Angola |
| 2020s | 93.38 | 102.95 | 9.57 | Croatia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher livestock — gross per capita production index number, Angola or Croatia?
- Angola, at 94.11 against 93.51 in Croatia as of 2024.
- What is the difference in livestock — gross per capita production index number between Angola and Croatia?
- 0.6, with Angola ahead.
- How many years of comparable data are there for Angola and Croatia?
- 33 years are reported by both, from 1992 to 2024.
- How do Angola and Croatia rank globally for livestock — gross per capita production index number?
- Angola ranks 114th and Croatia ranks 117th 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.