Barbados vs Malaysia: Livestock — Gross per capita Production Index Number (2014-2016 = 100)
Barbados
87.82
in 2024
Malaysia
87.49
in 2024
Barbados rank
143rd
Malaysia rank
145th
Livestock — Gross per capita Production Index Number (2014-2016 = 100) over time
- Barbados
- Malaysia
How they compare
Barbados currently reports 87.82 against 87.49 in Malaysia, a difference of 0.33.
The two have swapped places 8 times across 64 shared years of data; in 1961 it was Barbados ahead.
Barbados ranks 143rd and Malaysia ranks 145th of 184 countries.
Barbados has averaged higher in every one of the 7 decades both report.
Head to head by decade
| Decade | Barbados | Malaysia | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 29.7 | 23.32 | 6.38 | Barbados |
| 1970s | 55.1 | 32.64 | 22.46 | Barbados |
| 1980s | 82.33 | 45.68 | 36.65 | Barbados |
| 1990s | 90.62 | 73.35 | 17.26 | Barbados |
| 2000s | 91.92 | 73.41 | 18.52 | Barbados |
| 2010s | 99.46 | 94.2 | 5.27 | Barbados |
| 2020s | 92.03 | 90.8 | 1.23 | Barbados |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher livestock — gross per capita production index number, Barbados or Malaysia?
- Barbados, at 87.82 against 87.49 in Malaysia as of 2024.
- What is the difference in livestock — gross per capita production index number between Barbados and Malaysia?
- 0.33, with Barbados ahead.
- How many years of comparable data are there for Barbados and Malaysia?
- 64 years are reported by both, from 1961 to 2024.
- How do Barbados and Malaysia rank globally for livestock — gross per capita production index number?
- Barbados ranks 143rd and Malaysia ranks 145th 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.