Argentina vs Thailand: Age population, age 11, female, interpolated
Argentina
366,289
in 2025
Thailand
376,498
in 2025
Argentina rank
40th
Thailand rank
38th
Age population, age 11, female, interpolated over time
- Argentina
- Thailand
How they compare
Thailand currently reports 376,498 against 366,289 in Argentina, a difference of 10,209.
Across all 66 years both countries report, Thailand has been ahead every year.
Argentina ranks 40th and Thailand ranks 38th of 217 countries.
Thailand has averaged higher in every one of the 7 decades both report.
Head to head by decade
| Decade | Argentina | Thailand | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 212,046 | 385,231 | 173,185 | Thailand |
| 1970s | 232,692 | 527,183 | 294,491 | Thailand |
| 1980s | 283,778 | 575,462 | 291,684 | Thailand |
| 1990s | 326,085 | 538,290 | 212,204 | Thailand |
| 2000s | 343,851 | 501,583 | 157,732 | Thailand |
| 2010s | 341,596 | 439,032 | 97,436 | Thailand |
| 2020s | 359,584 | 393,178 | 33,595 | Thailand |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher age population, age 11, female, interpolated, Argentina or Thailand?
- Thailand, at 376,498 against 366,289 in Argentina as of 2025.
- What is the difference in age population, age 11, female, interpolated between Argentina and Thailand?
- 10,209, with Thailand ahead.
- How many years of comparable data are there for Argentina and Thailand?
- 66 years are reported by both, from 1960 to 2025.
- How do Argentina and Thailand rank globally for age population, age 11, female, interpolated?
- Argentina ranks 40th and Thailand ranks 38th of 217 countries.
- Where does this data come from?
- United Nations Population Division. World Population Prospects: 2022 Revision, published as Age population, age 11, 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.