Cote d'Ivoire vs Thailand: Labor force participation rates for women ages 15 24 2020 vs … gaps
Cote d'Ivoire
33.66
in 2022
Thailand
32.98
in 2025
Cote d'Ivoire rank
90th
Thailand rank
92nd
Labor force participation rates for women ages 15 24 2020 vs … gaps over time
- Cote d'Ivoire
- Thailand
How they compare
Cote d'Ivoire currently reports 33.66 against 32.98 in Thailand, a difference of 0.68.
The two have swapped places 3 times across 14 shared years of data; in 1978 it was Thailand ahead.
Cote d'Ivoire ranks 90th and Thailand ranks 92nd of 171 countries.
Across the 5 decades both report, Cote d'Ivoire averaged higher in 2 and Thailand in 3.
Head to head by decade
| Decade | Cote d'Ivoire | Thailand | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 52.08 | 74.73 | 22.64 | Thailand |
| 1980s | 37.13 | 77.06 | 39.93 | Thailand |
| 1990s | 39.99 | 51.4 | 11.42 | Thailand |
| 2010s | 42.48 | 34.79 | 7.69 | Cote d'Ivoire |
| 2020s | 35.74 | 32.86 | 2.89 | Cote d'Ivoire |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher labor force participation rates for women ages 15 24 2020 vs 1980, Cote d'Ivoire or Thailand?
- Cote d'Ivoire, at 33.66 against 32.98 in Thailand as of 2022.
- What is the difference in labor force participation rates for women ages 15 24 2020 vs 1980 between Cote d'Ivoire and Thailand?
- 0.68, with Cote d'Ivoire ahead.
- How many years of comparable data are there for Cote d'Ivoire and Thailand?
- 14 years are reported by both, from 1978 to 2022.
- How do Cote d'Ivoire and Thailand rank globally for labor force participation rates for women ages 15 24 2020 vs 1980?
- Cote d'Ivoire ranks 90th and Thailand ranks 92nd of 171 countries.
- Where does this data come from?
- Statizoid (derived), published as Labor force participation rates for women ages 15 24 2020 vs 1980, gaps filled. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Labor force participation rates for women ages 15 24 2020 vs 1980 with 625 missing years estimated by linear interpolation between the nearest real observations. Only gaps of 4 years or fewer are filled, and never beyond the first or last actual measurement — these are filled holes, not forecasts.