Macao vs Tanzania: Ratio of total weekly hours worked to population aged 15-64
Ratio of total weekly hours worked to population aged 15-64 over time
- Macao
- Tanzania
How they compare
Macao currently reports 36.72 against 34.8 in Tanzania, a difference of 1.92.
That makes Macao's figure about 1.1 times Tanzania's.
Across all 23 years both countries report, Macao has been ahead every year.
Macao ranks 8th and Tanzania ranks 9th of 188 countries.
Macao has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Macao | Tanzania | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 33.24 | 30.11 | 3.13 | Macao |
| 2010s | 35.4 | 31.5 | 3.9 | Macao |
| 2020s | 35.94 | 34.33 | 1.61 | Macao |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher ratio of total weekly hours worked to population aged 15-64, Macao or Tanzania?
- Macao, at 36.72 against 34.8 in Tanzania as of 2027.
- What is the difference in ratio of total weekly hours worked to population aged 15-64 between Macao and Tanzania?
- 1.92, with Macao ahead.
- How many years of comparable data are there for Macao and Tanzania?
- 23 years are reported by both, from 2005 to 2027.
- How do Macao and Tanzania rank globally for ratio of total weekly hours worked to population aged 15-64?
- Macao ranks 8th and Tanzania ranks 9th of 188 countries.
- Where does this data come from?
- International Labour Organization, published as Ratio of total weekly hours worked to population aged 15-64 (ILO modelled estimates). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. This series is based on the 13th ICLS definitions. The ratio of total weekly hours worked to population aged 15-64 is the total weekly hours worked by employed persons in their main job divided by the population aged 15-64. For more information, refer to the ILO Modelled Estimates (ILOEST) database description.