Montenegro vs South Sudan: Food — Gross per capita Production Index Number (2014-2016 = 100)
Montenegro
106.24
in 2024
South Sudan
106.42
in 2024
Montenegro rank
57th
South Sudan rank
56th
Food — Gross per capita Production Index Number (2014-2016 = 100) over time
- Montenegro
- South Sudan
How they compare
South Sudan currently reports 106.42 against 106.24 in Montenegro, a difference of 0.18.
The two have swapped places 4 times across 13 shared years of data; in 2012 it was South Sudan ahead.
Montenegro ranks 57th and South Sudan ranks 56th of 185 countries.
South Sudan has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Montenegro | South Sudan | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 99.6 | 103.48 | 3.88 | South Sudan |
| 2020s | 104.06 | 110.44 | 6.39 | South Sudan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher food — gross per capita production index number, Montenegro or South Sudan?
- South Sudan, at 106.42 against 106.24 in Montenegro as of 2024.
- What is the difference in food — gross per capita production index number between Montenegro and South Sudan?
- 0.18, with South Sudan ahead.
- How many years of comparable data are there for Montenegro and South Sudan?
- 13 years are reported by both, from 2012 to 2024.
- How do Montenegro and South Sudan rank globally for food — gross per capita production index number?
- Montenegro ranks 57th and South Sudan ranks 56th 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.