Nigeria vs Sri Lanka: Maize (corn) — Gross per capita Production Index Number
Nigeria
88.87
in 2024
Sri Lanka
88.56
in 2024
Nigeria rank
92nd
Sri Lanka rank
94th
Maize (corn) — Gross per capita Production Index Number over time
- Nigeria
- Sri Lanka
How they compare
Nigeria currently reports 88.87 against 88.56 in Sri Lanka, a difference of 0.31.
The two have swapped places 10 times across 64 shared years of data; in 1961 it was Nigeria ahead.
Nigeria ranks 92nd and Sri Lanka ranks 94th of 147 countries.
Across the 7 decades both report, Nigeria averaged higher in 6 and Sri Lanka in 1.
Head to head by decade
| Decade | Nigeria | Sri Lanka | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 40.49 | 9.51 | 30.97 | Nigeria |
| 1970s | 26.74 | 13.35 | 13.39 | Nigeria |
| 1980s | 51.62 | 18.25 | 33.37 | Nigeria |
| 1990s | 100.6 | 16.69 | 83.91 | Nigeria |
| 2000s | 75.5 | 25.31 | 50.2 | Nigeria |
| 2010s | 96.74 | 90.05 | 6.69 | Nigeria |
| 2020s | 100.31 | 119.66 | 19.35 | Sri Lanka |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher maize (corn) — gross per capita production index number, Nigeria or Sri Lanka?
- Nigeria, at 88.87 against 88.56 in Sri Lanka as of 2024.
- What is the difference in maize (corn) — gross per capita production index number between Nigeria and Sri Lanka?
- 0.31, with Nigeria ahead.
- How many years of comparable data are there for Nigeria and Sri Lanka?
- 64 years are reported by both, from 1961 to 2024.
- How do Nigeria and Sri Lanka rank globally for maize (corn) — gross per capita production index number?
- Nigeria ranks 92nd and Sri Lanka ranks 94th 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.