Myanmar vs South Sudan: Total weekly hours worked of employed persons (ILO modelled)
Myanmar
0 units per US$ of GDP
in 2025
South Sudan
0 units per US$ of GDP
in 2015
Myanmar rank
21st
South Sudan rank
20th
Total weekly hours worked of employed persons (ILO modelled) over time
- Myanmar
- South Sudan
How they compare
South Sudan currently reports 0 units per US$ of GDP against 0 units per US$ of GDP in Myanmar, a difference of 0 units per US$ of GDP.
That makes South Sudan's figure about 1.1 times Myanmar's.
Across all 8 years both countries report, Myanmar has been ahead every year.
Myanmar ranks 21st and South Sudan ranks 20th of 185 countries.
Myanmar has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Myanmar | South Sudan | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 0 units per US$ of GDP | 0 units per US$ of GDP | 0 units per US$ of GDP | Myanmar |
| 2010s | 0 units per US$ of GDP | 0 units per US$ of GDP | 0 units per US$ of GDP | Myanmar |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher total weekly hours worked of employed persons (ilo modelled), Myanmar or South Sudan?
- South Sudan, at 0 units per US$ of GDP against 0 units per US$ of GDP in Myanmar as of 2015.
- What is the difference in total weekly hours worked of employed persons (ilo modelled) between Myanmar and South Sudan?
- 0 units per US$ of GDP, with South Sudan ahead.
- How many years of comparable data are there for Myanmar and South Sudan?
- 8 years are reported by both, from 2008 to 2015.
- How do Myanmar and South Sudan rank globally for total weekly hours worked of employed persons (ilo modelled)?
- Myanmar ranks 21st and South Sudan ranks 20th of 185 countries.
- Where does this data come from?
- Statizoid (derived), published as Total weekly hours worked of employed persons (ILO modelled estimates), per unit of GDP. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Total weekly hours worked of employed persons (ILO modelled estimates) divided by GDP (current US$), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.