Montenegro vs Seychelles: Food — Gross per capita Production Index Number (2014-2016 = 100)
Montenegro
106.24
in 2024
Seychelles
106.57
in 2024
Montenegro rank
57th
Seychelles rank
54th
Food — Gross per capita Production Index Number (2014-2016 = 100) over time
- Montenegro
- Seychelles
How they compare
Seychelles currently reports 106.57 against 106.24 in Montenegro, a difference of 0.33.
The two have swapped places 5 times across 19 shared years of data; in 2006 it was Montenegro ahead.
Montenegro ranks 57th and Seychelles ranks 54th of 185 countries.
Seychelles has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Montenegro | Seychelles | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 106.74 | 126.71 | 19.97 | Seychelles |
| 2010s | 98 | 103.76 | 5.76 | Seychelles |
| 2020s | 104.06 | 119.89 | 15.83 | Seychelles |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher food — gross per capita production index number, Montenegro or Seychelles?
- Seychelles, at 106.57 against 106.24 in Montenegro as of 2024.
- What is the difference in food — gross per capita production index number between Montenegro and Seychelles?
- 0.33, with Seychelles ahead.
- How many years of comparable data are there for Montenegro and Seychelles?
- 19 years are reported by both, from 2006 to 2024.
- How do Montenegro and Seychelles rank globally for food — gross per capita production index number?
- Montenegro ranks 57th and Seychelles ranks 54th of 185 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Food — 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.