El Salvador vs South Korea: Ilo national vs modeled data, gaps filled
El Salvador
2.71
in 2024
South Korea
2.79
in 2025
El Salvador rank
153rd
South Korea rank
150th
Ilo national vs modeled data, gaps filled over time
- El Salvador
- South Korea
How they compare
South Korea currently reports 2.79 against 2.71 in El Salvador, a difference of 0.08.
The two have swapped places 1 time across 43 shared years of data; in 1978 it was El Salvador ahead.
El Salvador ranks 153rd and South Korea ranks 150th of 185 countries.
El Salvador has averaged higher in every one of the 6 decades both report.
Head to head by decade
| Decade | El Salvador | South Korea | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 5.26 | 3.49 | 1.77 | El Salvador |
| 1980s | 10.94 | 3.47 | 7.47 | El Salvador |
| 1990s | 7.5 | 3.22 | 4.28 | El Salvador |
| 2000s | 6.69 | 3.36 | 3.33 | El Salvador |
| 2010s | 4.19 | 3.37 | 0.8161 | El Salvador |
| 2020s | 3.6 | 3.18 | 0.4262 | El Salvador |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher ilo national vs modeled data, gaps filled, El Salvador or South Korea?
- South Korea, at 2.79 against 2.71 in El Salvador as of 2025.
- What is the difference in ilo national vs modeled data, gaps filled between El Salvador and South Korea?
- 0.08, with South Korea ahead.
- How many years of comparable data are there for El Salvador and South Korea?
- 43 years are reported by both, from 1978 to 2024.
- How do El Salvador and South Korea rank globally for ilo national vs modeled data, gaps filled?
- El Salvador ranks 153rd and South Korea ranks 150th of 185 countries.
- Where does this data come from?
- Statizoid (derived), published as Ilo national vs modeled data, gaps filled. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Ilo national vs modeled data with 551 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.