Congo vs Malaysia: Meat indigenous, total: Gross per capita … capita Index Number 100
Congo
85.52
in 2024
Malaysia
85.66
in 2024
Congo rank
140th
Malaysia rank
138th
Meat indigenous, total: Gross per capita … capita Index Number 100 over time
- Congo
- Malaysia
How they compare
Malaysia currently reports 85.66 against 85.52 in Congo, a difference of 0.14.
The two have swapped places 9 times across 64 shared years of data; in 1961 it was Congo ahead.
Congo ranks 140th and Malaysia ranks 138th of 184 countries.
Across the 7 decades both report, Congo averaged higher in 5 and Malaysia in 2.
Head to head by decade
| Decade | Congo | Malaysia | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 70.64 | 23.73 | 46.91 | Congo |
| 1970s | 67.81 | 30.88 | 36.92 | Congo |
| 1980s | 71.22 | 44.48 | 26.75 | Congo |
| 1990s | 66.38 | 73.62 | 7.24 | Malaysia |
| 2000s | 82.12 | 74.12 | 8 | Congo |
| 2010s | 101.38 | 94.43 | 6.95 | Congo |
| 2020s | 87.91 | 89.01 | 1.1 | Malaysia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher meat indigenous, total — gross per capita production index number, Congo or Malaysia?
- Malaysia, at 85.66 against 85.52 in Congo as of 2024.
- What is the difference in meat indigenous, total — gross per capita production index number between Congo and Malaysia?
- 0.14, with Malaysia ahead.
- How many years of comparable data are there for Congo and Malaysia?
- 64 years are reported by both, from 1961 to 2024.
- How do Congo and Malaysia rank globally for meat indigenous, total — gross per capita production index number?
- Congo ranks 140th and Malaysia ranks 138th of 184 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Meat indigenous, total — 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.