Bolivia vs South Korea: Ilo national vs modeled data, gaps filled
Bolivia
2.73
in 2024
South Korea
2.79
in 2025
Bolivia rank
152nd
South Korea rank
150th
Ilo national vs modeled data, gaps filled over time
- Bolivia
- South Korea
How they compare
South Korea currently reports 2.79 against 2.73 in Bolivia, a difference of 0.06.
The two have swapped places 7 times across 50 shared years of data; in 1975 it was Bolivia ahead.
Bolivia ranks 152nd and South Korea ranks 150th of 185 countries.
Across the 6 decades both report, Bolivia averaged higher in 5 and South Korea in 1.
Head to head by decade
| Decade | Bolivia | South Korea | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 5.38 | 3.75 | 1.63 | Bolivia |
| 1980s | 13.73 | 3.75 | 9.98 | Bolivia |
| 1990s | 4.67 | 3.22 | 1.45 | Bolivia |
| 2000s | 4.58 | 3.36 | 1.21 | Bolivia |
| 2010s | 2.89 | 3.37 | 0.4838 | South Korea |
| 2020s | 4.39 | 3.18 | 1.22 | Bolivia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher ilo national vs modeled data, gaps filled, Bolivia or South Korea?
- South Korea, at 2.79 against 2.73 in Bolivia as of 2025.
- What is the difference in ilo national vs modeled data, gaps filled between Bolivia and South Korea?
- 0.06, with South Korea ahead.
- How many years of comparable data are there for Bolivia and South Korea?
- 50 years are reported by both, from 1975 to 2024.
- How do Bolivia and South Korea rank globally for ilo national vs modeled data, gaps filled?
- Bolivia ranks 152nd 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.