Congo vs Nigeria: Sugar Crops Primary — Gross per capita Production Index Number
Congo
85.1
in 2024
Nigeria
85.28
in 2024
Congo rank
73rd
Nigeria rank
71st
Sugar Crops Primary — Gross per capita Production Index Number over time
- Congo
- Nigeria
How they compare
Nigeria currently reports 85.28 against 85.1 in Congo, a difference of 0.18.
The two have swapped places 13 times across 64 shared years of data; in 1961 it was Congo ahead.
Congo ranks 73rd and Nigeria ranks 71st of 123 countries.
Across the 7 decades both report, Congo averaged higher in 6 and Nigeria in 1.
Head to head by decade
| Decade | Congo | Nigeria | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 327.2 | 100.6 | 226.61 | Congo |
| 1970s | 180.81 | 145.56 | 35.25 | Congo |
| 1980s | 123.07 | 137.95 | 14.88 | Nigeria |
| 1990s | 112.62 | 91.09 | 21.53 | Congo |
| 2000s | 118.55 | 90.43 | 28.13 | Congo |
| 2010s | 102.82 | 92.69 | 10.13 | Congo |
| 2020s | 89.52 | 89.06 | 0.458 | Congo |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher sugar crops primary — gross per capita production index number, Congo or Nigeria?
- Nigeria, at 85.28 against 85.1 in Congo as of 2024.
- What is the difference in sugar crops primary — gross per capita production index number between Congo and Nigeria?
- 0.18, with Nigeria ahead.
- How many years of comparable data are there for Congo and Nigeria?
- 64 years are reported by both, from 1961 to 2024.
- How do Congo and Nigeria rank globally for sugar crops primary — gross per capita production index number?
- Congo ranks 73rd and Nigeria ranks 71st of 123 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Sugar Crops Primary — 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.