Chad vs Sri Lanka: Age population, age 24, male, interpolated
Chad
178,917
in 2025
Sri Lanka
168,135
in 2025
Chad rank
62nd
Sri Lanka rank
65th
Age population, age 24, male, interpolated over time
- Chad
- Sri Lanka
How they compare
Chad currently reports 178,917 against 168,135 in Sri Lanka, a difference of 10,782.
That makes Chad's figure about 1.1 times Sri Lanka's.
The two have swapped places 1 time across 66 shared years of data; in 1960 it was Sri Lanka ahead.
Chad ranks 62nd and Sri Lanka ranks 65th of 217 countries.
Sri Lanka has averaged higher in every one of the 7 decades both report.
Head to head by decade
| Decade | Chad | Sri Lanka | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 25,514 | 88,744 | 63,230 | Sri Lanka |
| 1970s | 31,280 | 116,953 | 85,673 | Sri Lanka |
| 1980s | 38,849 | 139,966 | 101,117 | Sri Lanka |
| 1990s | 56,979 | 161,356 | 104,377 | Sri Lanka |
| 2000s | 78,896 | 177,777 | 98,880 | Sri Lanka |
| 2010s | 114,111 | 160,097 | 45,986 | Sri Lanka |
| 2020s | 159,352 | 167,224 | 7,873 | Sri Lanka |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher age population, age 24, male, interpolated, Chad or Sri Lanka?
- Chad, at 178,917 against 168,135 in Sri Lanka as of 2025.
- What is the difference in age population, age 24, male, interpolated between Chad and Sri Lanka?
- 10,782, with Chad ahead.
- How many years of comparable data are there for Chad and Sri Lanka?
- 66 years are reported by both, from 1960 to 2025.
- How do Chad and Sri Lanka rank globally for age population, age 24, male, interpolated?
- Chad ranks 62nd and Sri Lanka ranks 65th of 217 countries.
- Where does this data come from?
- United Nations Population Division. World Population Prospects: 2022 Revision, published as Age population, age 24, male, interpolated. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Age population, male refers to male population at the specified age level. The geographical areas included in the data are the same as the data source.