Argentina vs Myanmar: Secondary education, general pupils, gaps filled
Argentina
4.61 million
in 2017
Myanmar
4.18 million
in 2018
Argentina rank
22nd
Myanmar rank
24th
Secondary education, general pupils, gaps filled over time
- Argentina
- Myanmar
How they compare
Argentina currently reports 4.61 million against 4.18 million in Myanmar, a difference of 433,270.
That makes Argentina's figure about 1.1 times Myanmar's.
The two have swapped places 1 time across 38 shared years of data; in 1971 it was Myanmar ahead.
Argentina ranks 22nd and Myanmar ranks 24th of 204 countries.
Across the 5 decades both report, Argentina averaged higher in 3 and Myanmar in 2.
Head to head by decade
| Decade | Argentina | Myanmar | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 434,454 | 874,506 | 440,052 | Myanmar |
| 1980s | 662,501 | 1.19 million | 529,034 | Myanmar |
| 1990s | 3.17 million | 2.04 million | 1.14 million | Argentina |
| 2000s | 3.92 million | 2.55 million | 1.37 million | Argentina |
| 2010s | 4.42 million | 3.29 million | 1.14 million | Argentina |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher secondary education, general pupils, gaps filled, Argentina or Myanmar?
- Argentina, at 4.61 million against 4.18 million in Myanmar as of 2017.
- What is the difference in secondary education, general pupils, gaps filled between Argentina and Myanmar?
- 433,270, with Argentina ahead.
- How many years of comparable data are there for Argentina and Myanmar?
- 38 years are reported by both, from 1971 to 2017.
- How do Argentina and Myanmar rank globally for secondary education, general pupils, gaps filled?
- Argentina ranks 22nd and Myanmar ranks 24th of 204 countries.
- Where does this data come from?
- Statizoid (derived), published as Secondary education, general pupils, gaps filled. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Secondary education, general pupils with 570 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.