Montenegro vs Viet Nam: Meat indigenous, total: Gross per capita … capita Index Number 100
Montenegro
295.6
in 2024
Viet Nam
134.49
in 2024
Montenegro rank
1st
Viet Nam rank
4th
Meat indigenous, total: Gross per capita … capita Index Number 100 over time
- Montenegro
- Viet Nam
How they compare
Montenegro currently reports 295.6 against 134.49 in Viet Nam, a difference of 161.11.
That makes Montenegro's figure about 2.2 times Viet Nam's.
The two have swapped places 6 times across 19 shared years of data; in 2006 it was Montenegro ahead.
Montenegro ranks 1st and Viet Nam ranks 4th of 184 countries.
Montenegro has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Montenegro | Viet Nam | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 410.06 | 76.91 | 333.14 | Montenegro |
| 2010s | 111.55 | 98.62 | 12.94 | Montenegro |
| 2020s | 236.52 | 125.69 | 110.83 | Montenegro |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher meat indigenous, total — gross per capita production index number, Montenegro or Viet Nam?
- Montenegro, at 295.6 against 134.49 in Viet Nam as of 2024.
- What is the difference in meat indigenous, total — gross per capita production index number between Montenegro and Viet Nam?
- 161.11, with Montenegro ahead.
- How many years of comparable data are there for Montenegro and Viet Nam?
- 19 years are reported by both, from 2006 to 2024.
- How do Montenegro and Viet Nam rank globally for meat indigenous, total — gross per capita production index number?
- Montenegro ranks 1st and Viet Nam ranks 4th 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.