Labor participation rate, female in Sub-Saharan Africa
Sub-Saharan Africa: Labor participation rate, female was 74.8% in 2010. ▲ Rising
Labor participation rate, female in Sub-Saharan Africa, 1990–2010
Source: International Labour Organization, Key Indicators of the Labour Market database. Measured in % of female population ages 35-54.
Analysis
In 2010, labor participation rate, female in Sub-Saharan Africa stood at 74.8%. That is the highest value across all 21 years on record.
That represents a change of up 0.2% on the previous year and up 3.4% over ten years.
Over the whole period, labor participation rate, female in Sub-Saharan Africa peaked at 74.8% in 2010 and was at its lowest, 68.3%, in 1990.
The long-run direction has been consistently rising across the 21 years of available data.
Labor participation rate, female in Sub-Saharan Africa, year by year
| Year | % of female population ages 35-54 | Change |
|---|---|---|
| 1990 | 68.3% | — |
| 1991 | 68.9% | +0.8% |
| 1992 | 69.4% | +0.8% |
| 1993 | 69.9% | +0.6% |
| 1994 | 70.2% | +0.5% |
| 1995 | 70.5% | +0.4% |
| 1996 | 70.7% | +0.3% |
| 1997 | 71.0% | +0.5% |
| 1998 | 71.4% | +0.6% |
| 1999 | 71.7% | +0.4% |
| 2000 | 72.3% | +0.8% |
| 2001 | 72.8% | +0.6% |
| 2002 | 73.2% | +0.6% |
| 2003 | 73.5% | +0.4% |
| 2004 | 73.8% | +0.3% |
| 2005 | 74.0% | +0.2% |
| 2006 | 74.1% | +0.2% |
| 2007 | 74.3% | +0.3% |
| 2008 | 74.6% | +0.3% |
| 2009 | 74.6% | +0.1% |
| 2010 | 74.8% | +0.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 70.2% | 68.3% | 71.7% | 10 |
| 2000s | 73.7% | 72.3% | 74.6% | 10 |
| 2010s | 74.8% | 74.8% | 74.8% | 1 |
Countries ranked near Sub-Saharan Africa
- 1 Malawi 98.1% compare
- 2 Rwanda 97.1% compare
- 3 Burundi 96.5% compare
- 3 Mozambique 96.5% compare
- 5 Tanzania, United Republic of 95.2% compare
- 6 Madagascar 93.5% compare
More work & labour data for Sub-Saharan Africa
- Persons outside the labour force (ILO modelled estimates) 239,462 (2027)
- Labour force participation rate (ILO modelled estimates) 70.23 (2027)
- Labour force (ILO modelled estimates) 564,978 (2027)
- Labour dependency ratio 1.5 (2027)
- Unemployment rate (ILO modelled estimates) 5.73 (2027)
- Output per worker, GDP constant 2021 international $ at PPP 11,723 (2027)
- Output per worker, GDP constant 2015 US $ 4,279 (2027)
- Employment-to-population ratio (ILO modelled estimates) 66.21 (2027)
- Persons outside the labour force (ILO modelled estimates) (15+) 3.04 % change on previous year (2027)
- Labour force (ILO modelled estimates) (15+), annual growth rate 2.92 % change on previous year (2027)
Frequently asked questions
- What is labor participation rate, female in Sub-Saharan Africa?
- Labor participation rate, female in Sub-Saharan Africa was 74.8% in 2010, according to International Labour Organization, Key Indicators of the Labour Market database.
- What is the highest labor participation rate, female recorded in Sub-Saharan Africa?
- The highest recorded value was 74.8% in 2010.
- What is the lowest labor participation rate, female recorded in Sub-Saharan Africa?
- The lowest recorded value was 68.3% in 1990.
- How does Sub-Saharan Africa rank for labor participation rate, female?
- Sub-Saharan Africa ranks 3rd out of 6 groups with data for 2010.
- Is labor participation rate, female rising or falling in Sub-Saharan Africa?
- Over the last ten years it is up 3.4%. The long-run trend across the full record is rising.
- Where does this Sub-Saharan Africa data come from?
- The figures come from International Labour Organization, Key Indicators of the Labour Market database, published as part of Labor participation rate, female (% of female population ages 35-54). Statizoid updates them automatically from the source API.
Download this data
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About this data
Labor force participation rate is the proportion of the population ages 35-54 that is economically active: all people who supply labor for the production of goods and services during a specified period. The participation rates are harmonized to account for differences in national data collection and tabulation methodologies as well as for other country-specific factors such as military service requirements. The series includes both nationally reported and imputed data and only estimates that are national, meaning there are no geographic limitations in coverage.