Montenegro vs Suriname: Maize (corn) — Gross per capita Production Index Number
Montenegro
118.13
in 2024
Suriname
118.53
in 2024
Montenegro rank
39th
Suriname rank
38th
Maize (corn) — Gross per capita Production Index Number over time
- Montenegro
- Suriname
How they compare
Suriname currently reports 118.53 against 118.13 in Montenegro, a difference of 0.4.
The two have swapped places 7 times across 19 shared years of data; in 2006 it was Montenegro ahead.
Montenegro ranks 39th and Suriname ranks 38th of 147 countries.
Montenegro has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Montenegro | Suriname | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 115.15 | 46.38 | 68.78 | Montenegro |
| 2010s | 90.27 | 82.5 | 7.77 | Montenegro |
| 2020s | 102.54 | 66.89 | 35.65 | Montenegro |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher maize (corn) — gross per capita production index number, Montenegro or Suriname?
- Suriname, at 118.53 against 118.13 in Montenegro as of 2024.
- What is the difference in maize (corn) — gross per capita production index number between Montenegro and Suriname?
- 0.4, with Suriname ahead.
- How many years of comparable data are there for Montenegro and Suriname?
- 19 years are reported by both, from 2006 to 2024.
- How do Montenegro and Suriname rank globally for maize (corn) — gross per capita production index number?
- Montenegro ranks 39th and Suriname ranks 38th of 147 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Maize (corn) — 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.