Denmark vs Eritrea: Age population, age 21, female, interpolated
Denmark
35,728
in 2025
Eritrea
39,182
in 2025
Denmark rank
117th
Eritrea rank
116th
Age population, age 21, female, interpolated over time
- Denmark
- Eritrea
How they compare
Eritrea currently reports 39,182 against 35,728 in Denmark, a difference of 3,454.
That makes Eritrea's figure about 1.1 times Denmark's.
The two have swapped places 1 time across 66 shared years of data; in 1960 it was Denmark ahead.
Denmark ranks 117th and Eritrea ranks 116th of 218 countries.
Denmark has averaged higher in every one of the 7 decades both report.
Head to head by decade
| Decade | Denmark | Eritrea | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 37,229 | 10,428 | 26,800 | Denmark |
| 1970s | 36,738 | 11,772 | 24,966 | Denmark |
| 1980s | 38,801 | 16,419 | 22,382 | Denmark |
| 1990s | 35,511 | 18,774 | 16,737 | Denmark |
| 2000s | 29,790 | 23,712 | 6,077 | Denmark |
| 2010s | 36,350 | 29,921 | 6,429 | Denmark |
| 2020s | 35,777 | 35,682 | 94.67 | Denmark |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher age population, age 21, female, interpolated, Denmark or Eritrea?
- Eritrea, at 39,182 against 35,728 in Denmark as of 2025.
- What is the difference in age population, age 21, female, interpolated between Denmark and Eritrea?
- 3,454, with Eritrea ahead.
- How many years of comparable data are there for Denmark and Eritrea?
- 66 years are reported by both, from 1960 to 2025.
- How do Denmark and Eritrea rank globally for age population, age 21, female, interpolated?
- Denmark ranks 117th and Eritrea ranks 116th of 218 countries.
- Where does this data come from?
- United Nations Population Division. World Population Prospects: 2022 Revision, published as Age population, age 21, female, interpolated. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Age population, female refers to female population at the specified age level. The geographical areas included in the data are the same as the data source.