Eswatini vs Macau, China: Labour force (ILO modelled estimates)
Labour force (ILO modelled estimates) over time
- Eswatini
- Macau, China
How they compare
Eswatini currently reports 445.08 against 420.81 in Macau, China, a difference of 24.27.
That makes Eswatini's figure about 1.1 times Macau, China's.
The two have swapped places 2 times across 38 shared years of data; in 1990 it was Eswatini ahead.
Eswatini ranks 160th and Macau, China ranks 162nd of 189 countries.
Across the 4 decades both report, Eswatini averaged higher in 3 and Macau, China in 1.
Head to head by decade
| Decade | Eswatini | Macau, China | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 280.26 | 184.56 | 95.7 | Eswatini |
| 2000s | 331.59 | 266.34 | 65.25 | Eswatini |
| 2010s | 368.47 | 377.66 | 9.19 | Macau, China |
| 2020s | 417.71 | 414.93 | 2.77 | Eswatini |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher labour force (ilo modelled estimates), Eswatini or Macau, China?
- Eswatini, at 445.08 against 420.81 in Macau, China as of 2027.
- What is the difference in labour force (ilo modelled estimates) between Eswatini and Macau, China?
- 24.27, with Eswatini ahead.
- How many years of comparable data are there for Eswatini and Macau, China?
- 38 years are reported by both, from 1990 to 2027.
- How do Eswatini and Macau, China rank globally for labour force (ilo modelled estimates)?
- Eswatini ranks 160th and Macau, China ranks 162nd of 189 countries.
- Where does this data come from?
- International Labour Organization, published as Labour force (ILO modelled estimates) (15+). 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 labour force is the sum of all persons of working age who are employed and those who are unemployed. For more information, refer to the ILO Modelled Estimates (ILOEST) database description.