Spreadsheet: 79e29d4f-a851-4574-9ea8-c5df461a6207
Sheet: Sheet1

Data Source | World Development Indicators | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11 | Unnamed: 12 | Unnamed: 13 | Unnamed: 14 | Unnamed: 15 | Unnamed: 16 | Unnamed: 17 | Unnamed: 18 | Unnamed: 19 | Unnamed: 20 | Unnamed: 21 | Unnamed: 22 | Unnamed: 23 | Unnamed: 24 | Unnamed: 25 | Unnamed: 26 | Unnamed: 27 | Unnamed: 28 | Unnamed: 29 | Unnamed: 30 | Unnamed: 31 | Unnamed: 32 | Unnamed: 33 | Unnamed: 34 | Unnamed: 35 | Unnamed: 36 | Unnamed: 37 | Unnamed: 38 | Unnamed: 39 | Unnamed: 40 | Unnamed: 41 | Unnamed: 42 | Unnamed: 43 | Unnamed: 44 | Unnamed: 45 | Unnamed: 46 | Unnamed: 47 | Unnamed: 48 | Unnamed: 49 | Unnamed: 50 | Unnamed: 51 | Unnamed: 52 | Unnamed: 53 | Unnamed: 54 | Unnamed: 55 | Unnamed: 56 | Unnamed: 57
Country Name | Country Code | Indicator Name | Indicator Code | 1960 | 1961 | 1962 | 1963 | 1964 | 1965 | 1966 | 1967 | 1968 | 1969 | 1970 | 1971 | 1972 | 1973 | 1974 | 1975 | 1976 | 1977 | 1978 | 1979 | 1980 | 1981 | 1982 | 1983 | 1984 | 1985 | 1986 | 1987 | 1988 | 1989 | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013
Aruba | ABW | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS
Andorra | AND | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS
Afghanistan | AFG | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 15.5 | 15.3000001907349 | 15 | 14.8000001907349 | 14.6999998092651 | 14.5 | 14.3000001907349 | 14.1000003814697 | 13.8999996185303 | 13.8000001907349 | 13.3999996185303 | 13.3999996185303 | 13.5 | 13.6000003814697 | 13.6999998092651 | 13.8999996185303 | 14.1000003814697 | 14.3999996185303 | 14.6999998092651 | 15 | 15.3999996185303 | 15.6000003814697 | 15.6999998092651
Angola | AGO | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 65.8000030517578 | 66.0999984741211 | 67 | 69.5 | 69.5 | 68.9000015258789 | 68.3000030517578 | 67.9000015258789 | 67.5999984741211 | 67.5 | 67.5 | 67.4000015258789 | 66.4000015258789 | 66.4000015258789 | 65.6999969482422 | 64.4000015258789 | 63.2000007629395 | 61.9000015258789 | 61.2999992370605 | 62 | 62.7000007629395 | 62.9000015258789 | 63.0999984741211
Albania | ALB | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 53.2000007629395 | 54.2000007629395 | 54.2000007629395 | 54 | 53.7000007629395 | 53.2000007629395 | 52.7000007629395 | 52.9000015258789 | 52.4000015258789 | 51.7999992370605 | 51.4000015258789 | 51 | 50.7999992370605 | 49.9000015258789 | 49.0999984741211 | 48.2999992370605 | 47.5 | 46.7000007629395 | 45.9000015258789 | 45.2999992370605 | 45.2000007629395 | 45.0999984741211 | 45
Arab World | ARB | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 20.843940526604 | 19.89111527043624 | 19.89500331560695 | 19.85478267030233 | 20.37464832010301 | 20.48745054578998 | 20.5994459042738 | 20.58283413171921 | 20.5956561154409 | 20.94635599584463 | 20.87031345030644 | 20.55053225412032 | 20.25935643244942 | 20.80041952511033 | 21.15415808449184 | 21.40444302757309 | 21.50108284824954 | 22.22184474269732 | 22.35391039901898 | 22.41113695041172 | 22.65349672344394 | 22.83642177647145 | 23.01264478834123
United Arab Emirates | ARE | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 25 | 26.1000003814697 | 27.2999992370605 | 28.6000003814697 | 30 | 31.2999992370605 | 31.7999992370605 | 32.4000015258789 | 32.9000015258789 | 33.2999992370605 | 33.7999992370605 | 34.2000007629395 | 34.5999984741211 | 35.0999984741211 | 35.9000015258789 | 37 | 39.2000007629395 | 41.4000015258789 | 43.5999984741211 | 44.9000015258789 | 46.2000007629395 | 46.4000015258789 | 46.5999984741211
Argentina | ARG | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41 | 40.5 | 40.0999984741211 | 40.2999992370605 | 40.4000015258789 | 41.2000007629395 | 41.4000015258789 | 41.5999984741211 | 41.9000015258789 | 42.2000007629395 | 42.5 | 43.2000007629395 | 43.9000015258789 | 44.5999984741211 | 48.7999992370605 | 48.7000007629395 | 48.5999984741211 | 48.7000007629395 | 48.7000007629395 | 48.7999992370605 | 47 | 47.2000007629395 | 47.2999992370605
Armenia | ARM | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 60 | 59.9000015258789 | 59.7999992370605 | 59.5 | 59.2000007629395 | 58.9000015258789 | 58.5999984741211 | 58.4000015258789 | 58.0999984741211 | 57.9000015258789 | 57.7000007629395 | 57.5 | 56.0999984741211 | 54.7999992370605 | 53.4000015258789 | 52 | 50.7000007629395 | 49.4000015258789 | 48.2000007629395 | 50 | 50.9000015258789 | 51.2999992370605 | 51.5999984741211
American Samoa | ASM | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS
[NAME] and [NAME] | ATG | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS
Australia | AUS | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 52.2999992370605 | 52 | 52 | 51.7999992370605 | 52.7000007629395 | 53.7999992370605 | 53.7999992370605 | 53.7000007629395 | 53.7999992370605 | 53.9000015258789 | 54.7000007629395 | 55.0999984741211 | 55.2999992370605 | 55.9000015258789 | 55.7000007629395 | 57 | 57.5999984741211 | 58.2000007629395 | 58.7000007629395 | 58.7999992370605 | 58.7999992370605 | 59 | 58.7999992370605
Austria | AUT | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 43 | 43.5 | 44.9000015258789 | 45.5 | 48 | 48.2999992370605 | 47.9000015258789 | 48.0999984741211 | 48.0999984741211 | 48.2999992370605 | 48.2999992370605 | 48.7999992370605 | 49.9000015258789 | 50.5 | 50.4000015258789 | 51.2000007629395 | 52.0999984741211 | 52.7999992370605 | 53.4000015258789 | 54.0999984741211 | 53.9000015258789 | 54.0999984741211 | 54.5999984741211
Azerbaijan | AZE | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 54 | 54.2999992370605 | 55.2000007629395 | 55.7999992370605 | 56.0999984741211 | 56.2000007629395 | 56.2999992370605 | 56.4000015258789 | 56.5 | 56.5999984741211 | 57.2999992370605 | 57.9000015258789 | 58.4000015258789 | 58.7999992370605 | 59.2000007629395 | 59.5999984741211 | 60 | 60.4000015258789 | 60.9000015258789 | 61.5 | 61.7999992370605 | 62.2000007629395 | 62.5
Burundi | BDI | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 90.8000030517578 | 90.3000030517578 | 89.8000030517578 | 89.3000030517578 | 88.6999969482422 | 88 | 87.1999969482422 | 86.4000015258789 | 85.4000015258789 | 85.0999984741211 | 84.8000030517578 | 84.5 | 84.0999984741211 | 83.8000030517578 | 83.5999984741211 | 83.4000015258789 | 83.1999969482422 | 83 | 83 | 82.9000015258789 | 83 | 83.0999984741211 | 83.1999969482422
Belgium | BEL | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 36.5999984741211 | 37.9000015258789 | 38.7000007629395 | 39.4000015258789 | 40 | 40.4000015258789 | 40.4000015258789 | 40.9000015258789 | 41.5 | 43.0999984741211 | 43.5999984741211 | 41.7000007629395 | 43 | 43.5 | 44.5 | 45.5999984741211 | 45.7999992370605 | 46.5999984741211 | 46.9000015258789 | 46.9000015258789 | 47.5999984741211 | 46.7999992370605 | 46.9000015258789
Benin | [NAME] | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 57.2000007629395 | 57.2000007629395 | 57.5 | 58.2999992370605 | 59.2000007629395 | 60 | 60.7999992370605 | 61.5999984741211 | 62.4000015258789 | 63.2000007629395 | 64 | 64.8000030517578 | 65.5 | 65.8000030517578 | 66 | 66.1999969482422 | 66.4000015258789 | 66.5999984741211 | 66.8000030517578 | 67 | 67.3000030517578 | 67.4000015258789 | 67.5
[NAME] | BFA | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 76.5 | 76.5999984741211 | 76.6999969482422 | 76.6999969482422 | 76.8000030517578 | 76.8000030517578 | 76.6999969482422 | 76.6999969482422 | 76.6999969482422 | 76.6999969482422 | 76.8000030517578 | 76.8000030517578 | 76.9000015258789 | 76.9000015258789 | 76.9000015258789 | 76.9000015258789 | 77 | 77.0999984741211 | 77.0999984741211 | 77.1999969482422 | 77.1999969482422 | 77.1999969482422 | 77.0999984741211
Bangladesh | BGD | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 61.7000007629395 | 61.7999992370605 | 60.9000015258789 | 60.0999984741211 | 59.2000007629395 | 58.2999992370605 | 57.4000015258789 | 56.5999984741211 | 55.7999992370605 | 55 | 54.2000007629395 | 54.5 | 54.7000007629395 | 55 | 55.2000007629395 | 55.5 | 55.7999992370605 | 56.0999984741211 | 56.2999992370605 | 56.5999984741211 | 56.9000015258789 | 57.0999984741211 | 57.2999992370605
Bulgaria | BGR | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 54.9000015258789 | 54.5 | 54.2000007629395 | 53 | 51.7999992370605 | 50.5999984741211 | 49.4000015258789 | 48.2000007629395 | 46.9000015258789 | 45.5999984741211 | 44.2000007629395 | 46.7000007629395 | 46.2999992370605 | 44.7999992370605 | 45.5999984741211 | 44.5999984741211 | 46.7000007629395 | 47.9000015258789 | 48.7000007629395 | 48 | 47.5 | 47.2000007629395 | 47.7999992370605
Bahrain | BHR | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 27.8999996185303 | 29 | 29.7000007629395 | 30.2999992370605 | 31 | 31.6000003814697 | 32.2000007629395 | 32.9000015258789 | 33.5999984741211 | 34.2000007629395 | 34.9000015258789 | 35.5999984741211 | 35.5 | 35.5999984741211 | 35.7999992370605 | 36.2999992370605 | 37 | 37.7000007629395 | 38.4000015258789 | 38.9000015258789 | 39.2999992370605 | 39.4000015258789 | 39.4000015258789
Bahamas, The | BHS | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 64.8000030517578 | 65.6999969482422 | 66.5999984741211 | 67.4000015258789 | 68.1999969482422 | 67.8000030517578 | 67.3000030517578 | 66.5 | 65.5 | 65.8000030517578 | 66.0999984741211 | 66.4000015258789 | 66.6999969482422 | 67 | 67.3000030517578 | 67.6999969482422 | 68 | 68.4000015258789 | 68.8000030517578 | 69.0999984741211 | 69.1999969482422 | 69.1999969482422 | 69.3000030517578
Bosnia and Herzegovina | BIH | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 35.7999992370605 | 35.7000007629395 | 35.5999984741211 | 35.5999984741211 | 35.5 | 35.5999984741211 | 35.0999984741211 | 34.5 | 34.0999984741211 | 33.7999992370605 | 33.4000015258789 | 33.0999984741211 | 32.7999992370605 | 32.4000015258789 | 32 | 31.7000007629395 | 31.2999992370605 | 31.3999996185303 | 32.4000015258789 | 32.7999992370605 | 34 | 34 | 34.0999984741211
Belarus | BLR | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 60.4000015258789 | 59.4000015258789 | 58.5 | 57.5 | 56.5999984741211 | 55.7999992370605 | 55 | 54.2999992370605 | 53.5999984741211 | 52.9000015258789 | 52.5999984741211 | 52.2999992370605 | 52 | 51.5999984741211 | 51.2000007629395 | 50.7999992370605 | 50.4000015258789 | 50 | 49.5999984741211 | 49.2000007629395 | 49.5 | 49.7000007629395 | 49.9000015258789
Belize | BLZ | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 36 | 35.9000015258789 | 35.7999992370605 | 35.7000007629395 | 35.5999984741211 | 35.9000015258789 | 36.2000007629395 | 37.0999984741211 | 37.9000015258789 | 38.7999992370605 | 39.7000007629395 | 40.7000007629395 | 41.7000007629395 | 42.7000007629395 | 43.7999992370605 | 44.7999992370605 | 45.5999984741211 | 46.5 | 47.2999992370605 | 48.0999984741211 | 48.7999992370605 | 49 | 49.0999984741211
Bermuda | BMU | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS
Bolivia | BOL | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 50.4000015258789 | 51.2999992370605 | 52.2999992370605 | 53.2000007629395 | 54.0999984741211 | 55.0999984741211 | 57.4000015258789 | 59.7000007629395 | 59.7000007629395 | 59.7000007629395 | 59.7000007629395 | 60 | 60.2999992370605 | 60.5 | 60.7999992370605 | 61.0999984741211 | 61.5 | 62.2999992370605 | 62.5999984741211 | 63.2000007629395 | 63.7000007629395 | 63.9000015258789 | 64.0999984741211
Brazil | BRA | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 44.5999984741211 | 48.7999992370605 | 53.0999984741211 | 53 | 53.5999984741211 | 54.2000007629395 | 52.2000007629395 | 53.2000007629395 | 53.5999984741211 | 55.0999984741211 | 54.9000015258789 | 54.7000007629395 | 56.2000007629395 | 56.5999984741211 | 57.5999984741211 | 58.9000015258789 | 58.7000007629395 | 58.4000015258789 | 58.5 | 58.9000015258789 | 59.4000015258789 | 59.5 | 59.5
Barbados | BRB | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 61.4000015258789 | 60.5999984741211 | 61.0999984741211 | 61.7000007629395 | 62.2000007629395 | 62.9000015258789 | 63.7000007629395 | 62.7000007629395 | 63.0999984741211 | 63.2000007629395 | 63.5999984741211 | 64 | 62.9000015258789 | 63.7999992370605 | 64.5999984741211 | 65 | 65.3000030517578 | 65.5 | 65.6999969482422 | 65.8000030517578 | 65.9000015258789 | 65.9000015258789 | 65.9000015258789
[NAME] | BRN | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 45.2000007629395 | 46.5 | 47.5 | 48.4000015258789 | 49.2999992370605 | 50.2999992370605 | 51.4000015258789 | 52.5 | 53.5999984741211 | 54.5999984741211 | 55.5 | 56.2000007629395 | 56 | 55.7000007629395 | 55.4000015258789 | 55.0999984741211 | 54.7999992370605 | 54.4000015258789 | 54.0999984741211 | 53.7999992370605 | 53.5 | 53.2000007629395 | 52.9000015258789
Bhutan | BTN | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 49.4000015258789 | 48.9000015258789 | 48.0999984741211 | 47.2999992370605 | 46.7999992370605 | 46.7000007629395 | 47.2999992370605 | 48.2000007629395 | 49.5999984741211 | 51.2999992370605 | 53.2999992370605 | 55.5999984741211 | 57.9000015258789 | 60.2000007629395 | 62.0999984741211 | 63.5 | 64.5 | 65.0999984741211 | 65.5 | 65.5999984741211 | 65.9000015258789 | 66.0999984741211 | 66.4000015258789
Botswana | BWA | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 66.8000030517578 | 67.0999984741211 | 67.4000015258789 | 67.5999984741211 | 67.9000015258789 | 68.1999969482422 | 68.5 | 68.8000030517578 | 69.0999984741211 | 69.3000030517578 | 69.5999984741211 | 69.9000015258789 | 70.1999969482422 | 70.5 | 70.8000030517578 | 71.0999984741211 | 71.1999969482422 | 71.4000015258789 | 71.5 | 71.5999984741211 | 71.6999969482422 | 71.8000030517578 | 71.8000030517578
Sub-Saharan Africa (IFC classification) | CAA | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS
Central African Republic | CAF | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 69.3000030517578 | 69.5 | 70.0999984741211 | 70.4000015258789 | 70.4000015258789 | 70.3000030517578 | 70.6999969482422 | 70.5999984741211 | 70.5 | 70.5 | 70.5 | 70.5999984741211 | 70.8000030517578 | 71.3000030517578 | 71.4000015258789 | 71.5 | 71.5999984741211 | 71.6999969482422 | 72 | 72.1999969482422 | 72.5 | 72.5 | 72.5
Canada | CAN | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 57.9000015258789 | 57.9000015258789 | 57.2999992370605 | 57.0999984741211 | 56.9000015258789 | 56.7999992370605 | 56.7999992370605 | 57.0999984741211 | 57.7000007629395 | 58.2000007629395 | 58.7000007629395 | 59 | 60.0999984741211 | 61.0999984741211 | 61.2000007629395 | 60.9000015258789 | 61.2000007629395 | 61.9000015258789 | 62.0999984741211 | 61.9000015258789 | 61.7999992370605 | 61.7000007629395 | 61.5999984741211
East Asia and the Pacific (IFC classification) | CEA | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS
Europe and Central Asia (IFC classification) | CEU | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS
Switzerland | CHE | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 56 | 56.9000015258789 | 57.4000015258789 | 57.2000007629395 | 56.2999992370605 | 56.0999984741211 | 57 | 56.9000015258789 | 58 | 58.2999992370605 | 57.7000007629395 | 58.9000015258789 | 59.4000015258789 | 59.5999984741211 | 59.2000007629395 | 59.5 | 59.9000015258789 | 60.0999984741211 | 61.4000015258789 | 61.5999984741211 | 60.7999992370605 | 60.9000015258789 | 61.2000007629395
Channel Islands | CHI | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS
Chile | CHL | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 32.2000007629395 | 32 | 34 | 35.7000007629395 | 35.7000007629395 | 34.5999984741211 | 34.2999992370605 | 35.2000007629395 | 35.5 | 35.5999984741211 | 35.5 | 34.7000007629395 | 34.5 | 35.9000015258789 | 37.2999992370605 | 38.2999992370605 | 39 | 40 | 42.0999984741211 | 42.5999984741211 | 46.7999992370605 | 48.7000007629395 | 49
China | CHN | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 72.6999969482422 | 72.5999984741211 | 72.5 | 72.4000015258789 | 72.3000030517578 | 72.1999969482422 | 72 | 71.6999969482422 | 71.4000015258789 | 71.0999984741211 | 70.6999969482422 | 69.9000015258789 | 69 | 68.1999969482422 | 67.3000030517578 | 66.5 | 65.8000030517578 | 65.1999969482422 | 64.5999984741211 | 64.0999984741211 | 63.5 | 63.7000007629395 | 63.7999992370605
Cote d'Ivoire | CIV | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 43.4000015258789 | 44 | 44.5999984741211 | 45.2000007629395 | 45.9000015258789 | 46.5 | 47.0999984741211 | 47.7999992370605 | 48.4000015258789 | 48.7000007629395 | 49 | 49.2999992370605 | 49.5999984741211 | 49.9000015258789 | 50.2999992370605 | 50.5999984741211 | 50.9000015258789 | 51.2000007629395 | 51.5 | 51.7000007629395 | 52 | 52.0999984741211 | 52.2000007629395
Latin America and the Caribbean (IFC classification) | CLA | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS
Middle East and North Africa (IFC classification) | CME | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS
Cameroon | CMR | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 55.2000007629395 | 56.2999992370605 | 57.2999992370605 | 58.2999992370605 | 59.2000007629395 | 60.0999984741211 | 60.9000015258789 | 61 | 61.0999984741211 | 61.2000007629395 | 61.4000015258789 | 61.5 | 61.5999984741211 | 61.7000007629395 | 61.9000015258789 | 62.0999984741211 | 62.2999992370605 | 62.5 | 62.7999992370605 | 63 | 63.2999992370605 | 63.5 | 63.5999984741211
Congo, Rep. | COG | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 59.5999984741211 | 60.2000007629395 | 60.7000007629395 | 61.2999992370605 | 62 | 62.5 | 62.9000015258789 | 63.5 | 64 | 64.5999984741211 | 65.0999984741211 | 65.5999984741211 | 66.0999984741211 | 66.5999984741211 | 67.0999984741211 | 67.5 | 67.6999969482422 | 67.9000015258789 | 68.0999984741211 | 68.1999969482422 | 68.3000030517578 | 68.4000015258789 | 68.4000015258789
Colombia | COL | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 31.6000003814697 | 31.6000003814697 | 31.3999996185303 | 31.2999992370605 | 33.5999984741211 | 36 | 38.5 | 41 | 43.5 | 46 | 48.5 | 51.0999984741211 | 53.5 | 56 | 53.5999984741211 | 53 | 51.5 | 50.7000007629395 | 51.0999984741211 | 54.4000015258789 | 55.2999992370605 | 55.5 | 55.7000007629395
Comoros | COM | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 27.2000007629395 | 27.6000003814697 | 27.8999996185303 | 28.2000007629395 | 28.6000003814697 | 28.8999996185303 | 29.2000007629395 | 29.5 | 29.7999992370605 | 30.1000003814697 | 30.5 | 30.7999992370605 | 31.2000007629395 | 31.6000003814697 | 32 | 32.5 | 32.9000015258789 | 33.2999992370605 | 33.7999992370605 | 34.2000007629395 | 34.5999984741211 | 34.7999992370605 | 35
Cabo Verde | CPV | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.7999992370605 | 42.2999992370605 | 42.7000007629395 | 43.0999984741211 | 43.5 | 44 | 44.4000015258789 | 44.7999992370605 | 45.2000007629395 | 45.5999984741211 | 46 | 46.4000015258789 | 46.7999992370605 | 47.2000007629395 | 47.5999984741211 | 48 | 48.4000015258789 | 48.9000015258789 | 49.4000015258789 | 49.9000015258789 | 50.4000015258789 | 50.7000007629395 | 51.0999984741211
Costa Rica | CRI | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 32.9000015258789 | 33.5 | 33 | 33.9000015258789 | 34.7999992370605 | 35.7999992370605 | 34 | 37.2000007629395 | 39.4000015258789 | 39 | 37.0999984741211 | 42.2000007629395 | 42 | 41.7999992370605 | 40.2999992370605 | 44 | 44 | 45.0999984741211 | 45 | 45.5 | 46.0999984741211 | 46.2999992370605 | 46.4000015258789
South Asia (IFC classification) | CSA | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS
Caribbean small states | CSS | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 53.17723843414582 | 54.4611483241598 | 54.54218445135907 | 54.44705221844633 | 55.07853060182298 | 54.48925582933865 | 54.37284731905447 | 53.57278866713651 | 52.7293179333259 | 52.53135779446223 | 52.31047439843562 | 52.22036129415184 | 52.14927213506305 | 52.45409370599099 | 52.9616691527815 | 53.6971301459805 | 53.95590700505389 | 54.00495582254518 | 54.44360593300971 | 53.54962509567047 | 53.51450086033476 | 53.55143169745723 | 53.89157514606875
Cuba | CUB | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 35 | 35.4000015258789 | 35.7999992370605 | 36.2000007629395 | 36.5999984741211 | 36.9000015258789 | 37.2000007629395 | 37.4000015258789 | 37.5999984741211 | 37.7000007629395 | 37.7000007629395 | 37.7999992370605 | 37.9000015258789 | 37.9000015258789 | 38 | 38.7000007629395 | 39.5 | 41.0999984741211 | 41.5 | 42.9000015258789 | 43.0999984741211 | 43.2000007629395 | 43.2999992370605
[NAME] | CUW | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS
Cayman Islands | CYM | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS
Cyprus | CYP | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 40.7999992370605 | 41.9000015258789 | 41.5999984741211 | 42.2999992370605 | 42.5 | 41.7000007629395 | 43 | 43.5999984741211 | 43.5 | 43.7000007629395 | 49.7000007629395 | 52.2000007629395 | 52.9000015258789 | 54.0999984741211 | 54.2000007629395 | 53.5999984741211 | 54.4000015258789 | 55.2999992370605 | 55.5999984741211 | 56.2000007629395 | 57.0999984741211 | 56.4000015258789 | 55.7999992370605
Czech Republic | CZE | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 51.5999984741211 | 52.2000007629395 | 52.2999992370605 | 52.2999992370605 | 52.5999984741211 | 52.2000007629395 | 51.7000007629395 | 51.7000007629395 | 51.9000015258789 | 52.0999984741211 | 51.7000007629395 | 51.4000015258789 | 51.0999984741211 | 50.9000015258789 | 50.5999984741211 | 50.5999984741211 | 50.5 | 49.7999992370605 | 49.2999992370605 | 49.5 | 49.2000007629395 | 49.4000015258789 | 50.0999984741211
Germany | DEU | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 43.4000015258789 | 48 | 47.7000007629395 | 47.5999984741211 | 47.5 | 47.7000007629395 | 48 | 48.5 | 48.9000015258789 | 49.2000007629395 | 49.2000007629395 | 49.5 | 49.5999984741211 | 49.5999984741211 | 50.2000007629395 | 50.5999984741211 | 51.4000015258789 | 52 | 52.0999984741211 | 52.5 | 52.7000007629395 | 53.5 | 53.5
Djibouti | DJI | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 27.2999992370605 | 27.7999992370605 | 28.2000007629395 | 28.6000003814697 | 29 | 29.3999996185303 | 29.7999992370605 | 30.2000007629395 | 30.6000003814697 | 31 | 31.3999996185303 | 31.7999992370605 | 32.0999984741211 | 32.5 | 32.9000015258789 | 33.2999992370605 | 33.7000007629395 | 34.2000007629395 | 34.7000007629395 | 35.2000007629395 | 35.5999984741211 | 35.9000015258789 | 36.0999984741211
Dominica | DMA | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS
Denmark | DNK | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 61.5 | 61.7999992370605 | 62.0999984741211 | 61.5 | 57.9000015258789 | 57.9000015258789 | 58.2000007629395 | 58.7000007629395 | 59.4000015258789 | 60 | 60 | 59.7999992370605 | 59.9000015258789 | 59.7999992370605 | 60.7000007629395 | 60.5 | 61.2000007629395 | 60.7999992370605 | 61.0999984741211 | 60.5999984741211 | 59.7999992370605 | 59.5999984741211 | 59.0999984741211
Dominican Republic | DOM | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 44.0999984741211 | 44.2000007629395 | 44.2999992370605 | 44.5 | 44.5999984741211 | 44.7999992370605 | 45.0999984741211 | 45.4000015258789 | 45.7000007629395 | 46.0999984741211 | 46.4000015258789 | 46.9000015258789 | 47.5 | 47.9000015258789 | 48.4000015258789 | 49 | 49.7000007629395 | 50.2999992370605 | 50.5999984741211 | 50.7999992370605 | 51 | 51.0999984741211 | 51.2000007629395
Algeria | DZA | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9.89999961853027 | 10.1999998092651 | 10.5 | 10.8000001907349 | 11.1000003814697 | 11.5 | 11.8000001907349 | 11.8000001907349 | 11.8000001907349 | 11.8000001907349 | 11.8999996185303 | 12 | 12.1999998092651 | 12.3999996185303 | 12.6000003814697 | 12.8999996185303 | 13.1999998092651 | 13.6000003814697 | 14 | 14.3999996185303 | 14.6000003814697 | 14.8000001907349 | 15
East Asia & Pacific (developing only) | EAP | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 69.36375659530052 | 69.05306661231228 | 68.76277680670341 | 68.66567115900652 | 68.55532915437344 | 68.56281189551444 | 68.44471279912821 | 68.01283603119047 | 67.79514692232011 | 67.66072643150561 | 67.31299526529149 | 66.84931679240572 | 66.11703631130551 | 65.5534102249952 | 64.90372723798808 | 64.3689226949611 | 63.82670732896266 | 63.46175813943896 | 63.08561114515676 | 62.70695610397556 | 62.29916490243487 | 62.46983361798058 | 62.53865331038091
East Asia & Pacific (all income levels) | EAS | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 66.82242371850829 | 66.61079720678117 | 66.37003687855291 | 66.25771713299531 | 66.19124285177814 | 66.22845599617214 | 66.17062312888216 | 65.85860441910631 | 65.60581768745567 | 65.48330709709751 | 65.21666235219003 | 64.83901702021514 | 64.19076962520037 | 63.69293998143217 | 63.15142751379786 | 62.7292305701782 | 62.28012287358177 | 61.9853196084858 | 61.66193751291819 | 61.32715642638264 | 61.02406376422888 | 61.10133414684177 | 61.17933125422438
Europe & Central Asia (developing only) | ECA | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 49.87394201808866 | 49.70021144014446 | 49.33174322140009 | 47.86656144381013 | 48.54297174424821 | 48.2546474087788 | 48.06930544762689 | 47.59889248989518 | 47.41932394659293 | 47.38886107367487 | 46.31082132235814 | 46.24852049609218 | 45.78692099377025 | 45.17768933830683 | 44.29340871998557 | 44.08212675100112 | 44.18552314066892 | 44.17770845885329 | 44.35363913064977 | 44.70161092026595 | 45.11895503288746 | 45.53818056785734 | 45.83124065112778
Europe & Central Asia (all income levels) | ECS | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 49.21437575439668 | 49.45243526516369 | 48.95887653256861 | 48.1559318131481 | 47.97653093006382 | 47.91548046768422 | 47.87034087326596 | 47.67427041534426 | 47.63904768111249 | 48.58376314268337 | 48.49257258834282 | 48.25708587599777 | 48.50913438938873 | 48.78145347703393 | 48.86950036376195 | 49.06488875352431 | 49.35655407169661 | 49.58232831632006 | 49.82213439442999 | 50.06673396260036 | 50.12873063163762 | 50.42672534613992 | 50.73273372531621
Ecuador | ECU | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 39.2999992370605 | 40.0999984741211 | 41.2999992370605 | 42.5999984741211 | 43.5 | 44.5999984741211 | 45.5999984741211 | 46.4000015258789 | 47.2999992370605 | 49 | 49.9000015258789 | 56.7000007629395 | 55.2000007629395 | 53.9000015258789 | 57.5 | 55.2999992370605 | 56.5999984741211 | 54.2000007629395 | 52.7000007629395 | 52.9000015258789 | 53.7000007629395 | 54.0999984741211 | 54.4000015258789
Egypt, Arab Rep. | EGY | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 25.7999992370605 | 21.8999996185303 | 22 | 21.2999992370605 | 22 | 20.7000007629395 | 20 | 19.2000007629395 | 18.5 | 19.1000003814697 | 19.2999992370605 | 19.6000003814697 | 18.2999992370605 | 18.8999996185303 | 19.5 | 20.2000007629395 | 20.3999996185303 | 22.5 | 22.7000007629395 | 23 | 23.2999992370605 | 23.3999996185303 | 23.6000003814697
Euro area | EMU | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.52764225713871 | 42.93722877192237 | 42.72019167041886 | 42.78356958637617 | 43.037609842769 | 43.28157932586561 | 43.69793189344129 | 44.00278206549899 | 44.42251503190764 | 44.99349668699299 | 45.36269751914684 | 45.37753238513831 | 45.8874621963089 | 46.55965620380029 | 47.18242130097954 | 47.60389388630114 | 48.17299778069778 | 48.61563842263228 | 49.07656169249283 | 49.35350200562738 | 49.45539291554056 | 49.67303551400121 | 50.09810171589585
Eritrea | ERI | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 75.6999969482422 | 75.5999984741211 | 75.4000015258789 | 74.1999969482422 | 72.6999969482422 | 72.5 | 72.0999984741211 | 72.0999984741211 | 72.6999969482422 | 73.5 | 75.0999984741211 | 75.4000015258789 | 76.1999969482422 | 77.0999984741211 | 77.5999984741211 | 78.0999984741211 | 78.5 | 78.6999969482422 | 79.4000015258789 | 79.5 | 79.5999984741211 | 79.8000030517578 | 79.9000015258789
Spain | ESP | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 33.7999992370605 | 34.2000007629395 | 34.7999992370605 | 35.5 | 36.5 | 37 | 37.5999984741211 | 38.2000007629395 | 38.5999984741211 | 39.2999992370605 | 40.7000007629395 | 39.7000007629395 | 41.2999992370605 | 43 | 44.5 | 45.7999992370605 | 47.2999992370605 | 48.2000007629395 | 49.5999984741211 | 50.7000007629395 | 51.4000015258789 | 52.0999984741211 | 52.5999984741211
Estonia | EST | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 63 | 61.4000015258789 | 59.5999984741211 | 57.7000007629395 | 55.7999992370605 | 53.7999992370605 | 54 | 54.2000007629395 | 52.9000015258789 | 52.0999984741211 | 51.7000007629395 | 51.9000015258789 | 50.7999992370605 | 52.0999984741211 | 52.7000007629395 | 53.2999992370605 | 55 | 54.4000015258789 | 55.2000007629395 | 55.5999984741211 | 56.2000007629395 | 57.0999984741211 | 56
Ethiopia | ETH | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 72 | 72.4000015258789 | 72.9000015258789 | 72.3000030517578 | 72.1999969482422 | 71.9000015258789 | 71.4000015258789 | 71.3000030517578 | 71.5 | 71.4000015258789 | 72.6999969482422 | 73.9000015258789 | 75.0999984741211 | 76.3000030517578 | 77.4000015258789 | 78.4000015258789 | 78.4000015258789 | 78.4000015258789 | 78.3000030517578 | 78.3000030517578 | 78.1999969482422 | 78.1999969482422 | 78.1999969482422
European Union | EUU | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 45.65904051506792 | 46.51610532257317 | 46.26525730870089 | 46.1992238167615 | 46.25905017734647 | 46.31482174605877 | 46.62730237918738 | 46.86916418106403 | 47.06447745216404 | 47.47193005665168 | 47.75904020717746 | 47.70804902470893 | 47.74751431032247 | 48.12961714788839 | 48.53344943281481 | 48.7543091770817 | 49.20833593316948 | 49.4255057796442 | 49.79099025111902 | 50.02303959362145 | 50.16698165307218 | 50.34607688339359 | 50.74822018429843
Finland | FIN | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 58.7999992370605 | 57.5 | 56.2000007629395 | 55.4000015258789 | 54.7000007629395 | 55 | 55 | 54.5999984741211 | 54.9000015258789 | 56.0999984741211 | 56.5999984741211 | 56.7999992370605 | 57.0999984741211 | 56.5 | 56.2999992370605 | 56.7999992370605 | 57.2999992370605 | 57.5999984741211 | 57.5 | 57.0999984741211 | 56.2000007629395 | 55.9000015258789 | 56
Fiji | FJI | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 29.1000003814697 | 30.7000007629395 | 32.2999992370605 | 34.0999984741211 | 35.7999992370605 | 37.5999984741211 | 39.4000015258789 | 39.0999984741211 | 38.7999992370605 | 38.5999984741211 | 38.5 | 38.4000015258789 | 38.2999992370605 | 38.2999992370605 | 38.2000007629395 | 38.0999984741211 | 37.9000015258789 | 37.7000007629395 | 37.5 | 37.5 | 37.4000015258789 | 37.4000015258789 | 37.5
France | FRA | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46.0999984741211 | 46.2000007629395 | 46.5999984741211 | 47.0999984741211 | 47.4000015258789 | 47.7999992370605 | 48.2000007629395 | 47.7999992370605 | 48 | 48.4000015258789 | 48.4000015258789 | 48.0999984741211 | 48.2000007629395 | 49.5999984741211 | 49.5 | 49.9000015258789 | 50 | 50.2999992370605 | 50.5 | 50.9000015258789 | 50.9000015258789 | 50.7999992370605 | 50.9000015258789
Faeroe Islands | FRO | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS
Micronesia, Fed. [NAME]. | FSM | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS
Gabon | GAB | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 56.5999984741211 | 55.9000015258789 | 56 | 55.5999984741211 | 55.4000015258789 | 55.2000007629395 | 55.0999984741211 | 54.9000015258789 | 54.7999992370605 | 54.7000007629395 | 54.5999984741211 | 54.5 | 54.5 | 54.4000015258789 | 54.4000015258789 | 54.4000015258789 | 54.5 | 54.7999992370605 | 55 | 55.2000007629395 | 55.5 | 55.7000007629395 | 56
United Kingdom | GBR | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 52.5999984741211 | 52.5 | 52.2000007629395 | 52.2000007629395 | 52.2999992370605 | 52.2999992370605 | 52.7000007629395 | 53.2000007629395 | 53.2000007629395 | 53.7000007629395 | 54.0999984741211 | 54 | 54.5 | 54.5 | 54.7999992370605 | 55 | 55.5 | 55.0999984741211 | 55.5 | 55.5 | 55.5 | 55.5 | 55.7000007629395
Georgia | GEO | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 55.0999984741211 | 55.9000015258789 | 57.9000015258789 | 58.9000015258789 | 59.0999984741211 | 58.9000015258789 | 58.5 | 58.0999984741211 | 58 | 57.7999992370605 | 54.7000007629395 | 57.7000007629395 | 55.2999992370605 | 56.7999992370605 | 55.7999992370605 | 55.4000015258789 | 55.2999992370605 | 55.2000007629395 | 55.2999992370605 | 55.5 | 55.5999984741211 | 55.9000015258789 | 56.2000007629395
Ghana | GHA | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 69.5999984741211 | 69.8000030517578 | 70.0999984741211 | 70.4000015258789 | 70.8000030517578 | 71.0999984741211 | 71.4000015258789 | 71.8000030517578 | 72.0999984741211 | 72.4000015258789 | 72.6999969482422 | 71.8000030517578 | 70.8000030517578 | 69.6999969482422 | 68.6999969482422 | 67.5999984741211 | 66.5999984741211 | 66.5999984741211 | 66.6999969482422 | 66.8000030517578 | 66.9000015258789 | 67 | 67.1999969482422
Guinea | GIN | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 64.4000015258789 | 64.3000030517578 | 64.1999969482422 | 64 | 64 | 63.7999992370605 | 63.5999984741211 | 63.5 | 63.2999992370605 | 63.2000007629395 | 63.4000015258789 | 63.5 | 63.5 | 63.4000015258789 | 63.7000007629395 | 63.7999992370605 | 64.0999984741211 | 64.4000015258789 | 64.4000015258789 | 65 | 65.3000030517578 | 65.4000015258789 | 65.5
Gambia, The | GMB | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 69.5999984741211 | 69.5999984741211 | 69.5999984741211 | 69.5 | 69.6999969482422 | 70 | 70.3000030517578 | 70.5 | 70.8000030517578 | 70.9000015258789 | 71 | 71.0999984741211 | 71.6999969482422 | 71.5999984741211 | 71.5999984741211 | 71.6999969482422 | 71.8000030517578 | 71.8000030517578 | 71.9000015258789 | 72.0999984741211 | 72.1999969482422 | 72.1999969482422 | 72.1999969482422
Guinea-Bissau | GNB | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 60 | 59.7999992370605 | 59.9000015258789 | 59.9000015258789 | 59.7000007629395 | 59.5999984741211 | 58.9000015258789 | 58.7999992370605 | 63.2999992370605 | 63.2000007629395 | 63.0999984741211 | 63.7000007629395 | 65 | 65.9000015258789 | 66.0999984741211 | 66.1999969482422 | 66.5999984741211 | 67.0999984741211 | 67.4000015258789 | 67.6999969482422 | 68 | 68.0999984741211 | 68.0999984741211
Equatorial Guinea | GNQ | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 80.1999969482422 | 80.4000015258789 | 80.5 | 80.5 | 80.5 | 80.5 | 80.4000015258789 | 80.4000015258789 | 80.3000030517578 | 80.3000030517578 | 80.3000030517578 | 80.3000030517578 | 80.3000030517578 | 80.3000030517578 | 80.3000030517578 | 80.3000030517578 | 80.3000030517578 | 80.3000030517578 | 80.3000030517578 | 80.4000015258789 | 80.5 | 80.5 | 80.5999984741211
Greece | GRC | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 36 | 33.9000015258789 | 35.2000007629395 | 35.4000015258789 | 35.9000015258789 | 36.5999984741211 | 37.9000015258789 | 37.9000015258789 | 39.5999984741211 | 40.4000015258789 | 40.2999992370605 | 39.5 | 40.2000007629395 | 40.7999992370605 | 42 | 42.0999984741211 | 42.5 | 42.4000015258789 | 42.5 | 43.5 | 44.0999984741211 | 43.9000015258789 | 44.2000007629395
Grenada | GRD | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS
Greenland | GRL | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS
Guatemala | GTM | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 40.5 | 40.5999984741211 | 40.7000007629395 | 40.7999992370605 | 40.9000015258789 | 41.0999984741211 | 41.2000007629395 | 41.4000015258789 | 41.5999984741211 | 41.7999992370605 | 41.9000015258789 | 42.0999984741211 | 42.2000007629395 | 42.4000015258789 | 42.5 | 44.9000015258789 | 47.2999992370605 | 47.7000007629395 | 48 | 48.4000015258789 | 48.7999992370605 | 48.9000015258789 | 49.0999984741211
Guam | GUM | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 51.4000015258789 | 51.9000015258789 | 52.4000015258789 | 52.9000015258789 | 53.2999992370605 | 53.7999992370605 | 54.2000007629395 | 54.5 | 54.9000015258789 | 55.2000007629395 | 55.5 | 55.7000007629395 | 54 | 53.5999984741211 | 53.2000007629395 | 56.0999984741211 | 56.9000015258789 | 51 | 52.4000015258789 | 53.7000007629395 | 54.7999992370605 | 55.9000015258789 | 55.7999992370605
Guyana | GUY | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 36.2000007629395 | 37 | 37.7000007629395 | 38.4000015258789 | 38.4000015258789 | 38.2999992370605 | 38.4000015258789 | 38.5999984741211 | 38.9000015258789 | 39.2000007629395 | 39.2999992370605 | 39.4000015258789 | 39.4000015258789 | 39.2999992370605 | 39.2999992370605 | 39.4000015258789 | 39.5999984741211 | 40 | 40.5 | 41 | 41.5999984741211 | 42 | 42.2999992370605
High income | HIC | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 50.33417577004476 | 50.55029183894534 | 50.38174228547361 | 50.06994126622841 | 50.05742206575633 | 50.12506522295581 | 50.26573637704606 | 50.42233616178994 | 50.35963900253928 | 51.08711733549092 | 51.26238041897969 | 51.06965462212197 | 51.28072645608491 | 51.58991639306726 | 51.80388662437642 | 52.07993082468502 | 52.35090472901463 | 52.54759443879197 | 52.76680595948041 | 52.80152352754093 | 52.76184451042754 | 52.65200907837455 | 52.82515584027197
Hong Kong SAR, China | HKG | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 47.2000007629395 | 48.0999984741211 | 46.9000015258789 | 46.2999992370605 | 46.7999992370605 | 47.5 | 47.5999984741211 | 47.7000007629395 | 48.2000007629395 | 48.5999984741211 | 49.0999984741211 | 49.9000015258789 | 51.2999992370605 | 51.0999984741211 | 51.4000015258789 | 51.7000007629395 | 52 | 52.5999984741211 | 52.7999992370605 | 53 | 51.7999992370605 | 51.7000007629395 | 51.5999984741211
Honduras | HND | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 33.2000007629395 | 33.2999992370605 | 35 | 35 | 35 | 35 | 40.0999984741211 | 40.5999984741211 | 42.4000015258789 | 46 | 44.4000015258789 | 42.2000007629395 | 38.9000015258789 | 39 | 39.0999984741211 | 39.5999984741211 | 40.2000007629395 | 40.7000007629395 | 41.0999984741211 | 41.5 | 41.9000015258789 | 42.2000007629395 | 42.5
Heavily indebted poor countries (HIPC) | HPC | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 63.31006022028635 | 63.41851113528183 | 63.57117635119995 | 63.53476672275789 | 63.63540486532552 | 63.67691066509227 | 63.84166901793915 | 64.02782869637838 | 64.24284890965981 | 64.42791107591371 | 64.77895149239832 | 64.99698198418037 | 65.19260293763696 | 65.3463988419045 | 65.50340853134709 | 65.6762300056512 | 65.87465855444476 | 66.0596290768824 | 66.23855293042394 | 66.39526266391626 | 66.53228418805536 | 66.57914699183927 | 66.60641395012573
Croatia | HRV | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46.5 | 46.5999984741211 | 46.4000015258789 | 46.2000007629395 | 46 | 45.7999992370605 | 45.5999984741211 | 45.5 | 45.4000015258789 | 45.2999992370605 | 45.2000007629395 | 44.9000015258789 | 44.7000007629395 | 44.7000007629395 | 46 | 46.2999992370605 | 46.2999992370605 | 45.7000007629395 | 45.9000015258789 | 46.2000007629395 | 45.7000007629395 | 44.7000007629395 | 44.7999992370605
Haiti | HTI | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 56.7999992370605 | 56.9000015258789 | 57 | 57.0999984741211 | 57.2000007629395 | 57.2000007629395 | 57.0999984741211 | 57.0999984741211 | 57 | 56.9000015258789 | 56.9000015258789 | 57.0999984741211 | 57.4000015258789 | 57.7000007629395 | 58.0999984741211 | 58.4000015258789 | 58.7000007629395 | 59 | 59.4000015258789 | 59.7000007629395 | 60.0999984741211 | 60.2999992370605 | 60.5999984741211
Hungary | HUN | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46.2000007629395 | 46 | 46.5999984741211 | 44.5 | 42.5 | 40.4000015258789 | 40 | 39.2999992370605 | 40.0999984741211 | 41.0999984741211 | 41.4000015258789 | 41.0999984741211 | 41.4000015258789 | 42.2999992370605 | 42.2999992370605 | 42.9000015258789 | 43.0999984741211 | 42.7999992370605 | 42.5999984741211 | 42.7000007629395 | 43.7000007629395 | 43.9000015258789 | 44.7000007629395
Indonesia | IDN | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 50.2000007629395 | 49.2999992370605 | 48.4000015258789 | 49.5999984741211 | 50.7000007629395 | 50.9000015258789 | 51.0999984741211 | 49.2000007629395 | 49.7000007629395 | 50.7999992370605 | 50.2999992370605 | 49.9000015258789 | 49.4000015258789 | 49.5999984741211 | 49.7999992370605 | 50 | 50.4000015258789 | 50.7999992370605 | 51.2000007629395 | 51.2000007629395 | 51.2000007629395 | 51.2999992370605 | 51.2999992370605
Isle of Man | IMN | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS
India | IND | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 34.7999992370605 | 35 | 35.2999992370605 | 35.5 | 35.7000007629395 | 35.4000015258789 | 35.0999984741211 | 34.7999992370605 | 34.5 | 34.2000007629395 | 33.9000015258789 | 34.5 | 35.0999984741211 | 35.7000007629395 | 36.2999992370605 | 36.9000015258789 | 35.0999984741211 | 33.4000015258789 | 31.7999992370605 | 30.2000007629395 | 28.6000003814697 | 28.7000007629395 | 28.7999992370605
Not classified | INX | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS
Ireland | IRL | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 35.5 | 36.2000007629395 | 36.2999992370605 | 37.7999992370605 | 38.9000015258789 | 39.5999984741211 | 41.0999984741211 | 42 | 44 | 46 | 47.2000007629395 | 47.5999984741211 | 48.7000007629395 | 49.2000007629395 | 49.5999984741211 | 51.9000015258789 | 52.9000015258789 | 54.0999984741211 | 54 | 53.5999984741211 | 53.0999984741211 | 52.9000015258789 | 52.7000007629395
Iran, Islamic Rep. | IRN | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9.69999980926514 | 9.89999961853027 | 10 | 10.1000003814697 | 10.3000001907349 | 10.3999996185303 | 10.6000003814697 | 11.3999996185303 | 12.1999998092651 | 13 | 13.8999996185303 | 14.8999996185303 | 15.8999996185303 | 17 | 18.2000007629395 | 19.3999996185303 | 18.5 | 17.6000003814697 | 15.3999996185303 | 15.6999998092651 | 16 | 16.2000007629395 | 16.3999996185303
Iraq | IRQ | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.8000001907349 | 11 | 11.1999998092651 | 11.3000001907349 | 11.5 | 11.6999998092651 | 11.8999996185303 | 12.1000003814697 | 12.1999998092651 | 12.3999996185303 | 12.6000003814697 | 12.8000001907349 | 13 | 13.1999998092651 | 13.5 | 13.6000003814697 | 13.8000001907349 | 14 | 14.1000003814697 | 14.3000001907349 | 14.5 | 14.6000003814697 | 14.6999998092651
Iceland | ISL | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 67.6999969482422 | 67.8000030517578 | 69.0999984741211 | 69.3000030517578 | 69.5999984741211 | 70.5 | 69.5 | 68.8000030517578 | 70.1999969482422 | 71.0999984741211 | 71.5 | 71.6999969482422 | 70.8000030517578 | 71.3000030517578 | 69.4000015258789 | 70.8000030517578 | 71.3000030517578 | 71.4000015258789 | 70.8000030517578 | 69.9000015258789 | 70.4000015258789 | 69.8000030517578 | 70.5999984741211
Israel | ISR | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.2999992370605 | 41.7999992370605 | 42.7000007629395 | 43.5 | 44.7999992370605 | 45.5999984741211 | 45.5 | 45.7000007629395 | 46.2000007629395 | 47.2999992370605 | 48.2000007629395 | 48.4000015258789 | 48.4000015258789 | 49.2000007629395 | 49.7000007629395 | 50.0999984741211 | 50.5 | 51.0999984741211 | 51.2999992370605 | 52.2000007629395 | 52.5999984741211 | 52.5999984741211 | 58.0999984741211
Italy | ITA | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 35.0999984741211 | 35.5 | 33.9000015258789 | 33.4000015258789 | 33.4000015258789 | 33.4000015258789 | 33.7999992370605 | 34 | 34.4000015258789 | 35.0999984741211 | 35.4000015258789 | 35.9000015258789 | 36.4000015258789 | 36.9000015258789 | 38 | 37.7000007629395 | 37.9000015258789 | 37.7999992370605 | 38.5 | 38 | 38 | 38.0999984741211 | 39.4000015258789
Jamaica | JAM | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 66.4000015258789 | 66.9000015258789 | 67.4000015258789 | 67.8000030517578 | 68.3000030517578 | 66.6999969482422 | 65 | 63 | 60.7999992370605 | 60 | 59.2999992370605 | 58.5 | 57.9000015258789 | 57.2000007629395 | 57.0999984741211 | 57.5 | 57.7999992370605 | 58.2000007629395 | 58.5 | 56.5999984741211 | 55.7000007629395 | 55.5 | 56.0999984741211
Jordan | JOR | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9.19999980926514 | 9.5 | 10.1999998092651 | 10.8000001907349 | 11.3999996185303 | 11.8999996185303 | 12.1000003814697 | 12.3000001907349 | 12.3999996185303 | 12.5 | 12.6000003814697 | 12.1999998092651 | 12.8000001907349 | 11.8999996185303 | 11 | 12.3000001907349 | 12.6999998092651 | 15.3000001907349 | 14.8999996185303 | 15.6999998092651 | 15.6000003814697 | 15.6000003814697 | 15.3000001907349
Japan | JPN | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 50.0999984741211 | 50.7000007629395 | 50.7999992370605 | 50.4000015258789 | 50.2000007629395 | 50 | 50.0999984741211 | 50.4000015258789 | 50.2000007629395 | 49.5999984741211 | 49.2999992370605 | 49.2000007629395 | 48.5999984741211 | 48.5 | 48.2999992370605 | 48.4000015258789 | 48.4000015258789 | 48.5 | 48.5 | 48.7000007629395 | 49.4000015258789 | 48.0999984741211 | 48.0999984741211
Kazakhstan | KAZ | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 62.4000015258789 | 62.4000015258789 | 62.4000015258789 | 62.4000015258789 | 62.5 | 62.7000007629395 | 63 | 63.5 | 64 | 64.4000015258789 | 64.8000030517578 | 65.0999984741211 | 65.3000030517578 | 64.9000015258789 | 64.0999984741211 | 64.5999984741211 | 65.0999984741211 | 65.6999969482422 | 66.4000015258789 | 66.6999969482422 | 66.9000015258789 | 67.3000030517578 | 67.5
Kenya | [NAME] | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 70.1999969482422 | 69.5 | 68.8000030517578 | 68 | 67.3000030517578 | 66.5999984741211 | 65.9000015258789 | 65.1999969482422 | 64.5 | 63.7999992370605 | 63.0999984741211 | 62.5 | 61.7999992370605 | 61.2000007629395 | 60.7000007629395 | 60.2000007629395 | 60.4000015258789 | 60.5999984741211 | 60.9000015258789 | 61.2000007629395 | 61.5 | 61.7000007629395 | 62
Kyrgyz Republic | KGZ | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 58.4000015258789 | 58.2999992370605 | 58.2000007629395 | 58.0999984741211 | 57.9000015258789 | 57.7999992370605 | 57.5 | 57.2999992370605 | 57 | 56.5999984741211 | 56.2000007629395 | 55.7999992370605 | 55.2999992370605 | 54.4000015258789 | 53.5999984741211 | 54.0999984741211 | 54.5 | 54.5999984741211 | 54.7999992370605 | 54.9000015258789 | 55.2000007629395 | 55.4000015258789 | 55.7000007629395
Cambodia | KHM | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 76.8000030517578 | 76.8000030517578 | 76.8000030517578 | 76.9000015258789 | 76.8000030517578 | 76.5999984741211 | 76.3000030517578 | 75.9000015258789 | 75.5999984741211 | 75.8000030517578 | 76 | 75.6999969482422 | 75.5 | 75.1999969482422 | 75 | 76.0999984741211 | 77.1999969482422 | 78.1999969482422 | 79.0999984741211 | 79.0999984741211 | 79 | 78.9000015258789 | 78.9000015258789
Kiribati | KIR | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS
St. Kitts and Nevis | KNA | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS
Korea, Rep. | KOR | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 47.0999984741211 | 47.0999984741211 | 47 | 47 | 47.7999992370605 | 48.5 | 49.0999984741211 | 50.0999984741211 | 47.4000015258789 | 47.9000015258789 | 48.9000015258789 | 49.2000007629395 | 49.7000007629395 | 48.7999992370605 | 49.7999992370605 | 50 | 50.2000007629395 | 50.2000007629395 | 49.9000015258789 | 49 | 49.2999992370605 | 49.5 | 49.9000015258789
Kosovo | KSV | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS
Kuwait | KWT | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 34.7000007629395 | 35.5 | 36.5999984741211 | 37.9000015258789 | 39.2999992370605 | 40.7000007629395 | 41.7999992370605 | 42.5999984741211 | 43.2000007629395 | 43.7000007629395 | 44.2000007629395 | 44.7000007629395 | 45.2000007629395 | 45.5999984741211 | 45.0999984741211 | 44.4000015258789 | 43.7999992370605 | 43.0999984741211 | 42.5 | 42.9000015258789 | 42.7999992370605 | 43.0999984741211 | 43.4000015258789
Latin America & Caribbean (developing only) | LAC | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 40.57418216754969 | 42.02311745201269 | 43.80859286038767 | 44.07840619195392 | 44.80160704320971 | 45.87395846074349 | 45.71946086825662 | 47.05247862492585 | 47.56017369152814 | 48.46267752786063 | 48.53234771141376 | 49.21227343043493 | 50.12240223805104 | 50.28912310886768 | 51.26333913829411 | 51.76728435756821 | 51.91446721504854 | 52.24971667141298 | 52.50148915809674 | 52.98433793321865 | 53.32453900388435 | 53.31928771422726 | 53.77572407713471
Lao PDR | LAO | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 80 | 80.0999984741211 | 80.0999984741211 | 80.0999984741211 | 80.0999984741211 | 80 | 79.8000030517578 | 79.5999984741211 | 79.3000030517578 | 79.0999984741211 | 78.8000030517578 | 78.5999984741211 | 78.3000030517578 | 78.0999984741211 | 77.8000030517578 | 77.5 | 77.3000030517578 | 77.0999984741211 | 76.8000030517578 | 76.5999984741211 | 76.4000015258789 | 76.4000015258789 | 76.3000030517578
Lebanon | LBN | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 16.5 | 16.8999996185303 | 17.2999992370605 | 17.7999992370605 | 18.1000003814697 | 18.3999996185303 | 18.6000003814697 | 18.7999992370605 | 18.8999996185303 | 19 | 19.2000007629395 | 19.2999992370605 | 19.5 | 19.7999992370605 | 19.8999996185303 | 20.2999992370605 | 20.7000007629395 | 21.1000003814697 | 21.2999992370605 | 21.6000003814697 | 22 | 22.3999996185303 | 22.7999992370605
Liberia | LBR | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 56.0999984741211 | 56.2999992370605 | 56.5999984741211 | 57 | 57.2000007629395 | 57.5 | 57.5999984741211 | 57.7999992370605 | 58.0999984741211 | 58.2000007629395 | 58.4000015258789 | 58.4000015258789 | 58.5 | 58.5 | 58.5999984741211 | 58.5 | 58.4000015258789 | 58.0999984741211 | 58 | 58.0999984741211 | 58.0999984741211 | 58.2000007629395 | 58.2000007629395
Libya | LBY | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 18 | 18.6000003814697 | 19.2999992370605 | 20.1000003814697 | 20.8999996185303 | 21.8999996185303 | 22.8999996185303 | 24.1000003814697 | 25.2000007629395 | 26.2999992370605 | 27.2000007629395 | 28 | 28.5 | 29 | 29.2999992370605 | 29.6000003814697 | 29.7999992370605 | 29.8999996185303 | 30 | 30 | 29.7999992370605 | 29.8999996185303 | 30
St. Lucia | LCA | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 57.2999992370605 | 57.5999984741211 | 58 | 58.4000015258789 | 58.7999992370605 | 59.2999992370605 | 59.7999992370605 | 60.2000007629395 | 60.7000007629395 | 61.2999992370605 | 61.9000015258789 | 62.5999984741211 | 63.4000015258789 | 64.3000030517578 | 63.7000007629395 | 63.0999984741211 | 62.2999992370605 | 61.7999992370605 | 62.0999984741211 | 62.2000007629395 | 62.4000015258789 | 62.5 | 62.5999984741211
Latin America & Caribbean (all income levels) | LCN | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 40.26811900652832 | 41.65595543993672 | 43.43408927948796 | 43.76143205745314 | 44.46079667850849 | 45.45387889062312 | 45.31486651742127 | 46.62193946859689 | 47.1179311187068 | 47.99590528234429 | 48.0508938776926 | 48.69474024078473 | 49.55831845997816 | 49.76863439933136 | 50.74243324226168 | 51.271419191443 | 51.44026116612758 | 51.78794570034846 | 52.095875645132 | 52.57822784962117 | 53.01998751336981 | 53.07344100744853 | 53.51939043669724
Least developed countries: UN classification | LDC | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 65.0836583002587 | 65.09852627890724 | 64.93534881369592 | 64.71173034455414 | 64.51240017408938 | 64.2959672789454 | 64.10379264112628 | 64.01920682250483 | 63.98434994792142 | 63.94445550442895 | 63.99519855276935 | 64.22131525069007 | 64.39438487404205 | 64.5574788546999 | 64.67463274314576 | 64.84136431193119 | 65.02577926600488 | 65.16239699711848 | 65.30058289791424 | 65.45939115565841 | 65.59263707564216 | 65.65287760419473 | 65.69488262393199
Low income | LIC | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 68.35291898302168 | 68.37514750411204 | 68.19639591620755 | 67.93877127115832 | 67.680464018837 | 67.39782522059645 | 67.12084925290223 | 66.96448007033304 | 66.82598220411823 | 66.66745848143383 | 66.74923637130212 | 67.00874853647917 | 67.21413456669195 | 67.39484929424542 | 67.54049514798363 | 67.7051793295668 | 67.9211254308997 | 68.08016290721267 | 68.24473498742056 | 68.3930538071574 | 68.5163836146283 | 68.57556365141532 | 68.62275754446054
[NAME] | LIE | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS
[NAME] | LKA | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 36.4000015258789 | 36.4000015258789 | 36.4000015258789 | 36.4000015258789 | 36.2999992370605 | 36.2999992370605 | 35.7999992370605 | 35.5 | 41.5999984741211 | 37.9000015258789 | 37.2999992370605 | 36.7000007629395 | 36 | 35.4000015258789 | 34.7999992370605 | 34.4000015258789 | 39.5999984741211 | 37.0999984741211 | 36.7999992370605 | 36.7000007629395 | 34.7999992370605 | 34.9000015258789 | 35
Lower middle income | LMC | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 39.23165470632951 | 39.12204530759711 | 39.22225129561158 | 39.4574304332414 | 39.75629496024137 | 39.52763347331508 | 39.46332264963382 | 39.16504455908835 | 39.1887804509179 | 39.21031894734153 | 38.95012128998347 | 39.28563581079907 | 39.44988804833611 | 39.84607424112754 | 40.21739322189684 | 40.60963824241455 | 39.83346030942275 | 39.0545334045327 | 38.31887173621976 | 37.62523825534658 | 36.93302860542696 | 37.06700628179174 | 37.18469260305453
Low & middle income | LMY | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 52.73232325432469 | 52.72877786612985 | 52.7976146869781 | 52.67993311246119 | 52.78080988152529 | 52.71149199358291 | 52.55555780601579 | 52.43615177574618 | 52.35153769820445 | 52.3239786422819 | 52.08709497563874 | 52.11167540348927 | 52.02159163921334 | 51.95531251117073 | 51.91006435649883 | 51.92750715501025 | 51.4200298162166 | 50.95499589201239 | 50.48740918135448 | 50.092864565375 | 49.67441945393401 | 49.78338857327834 | 49.90079704903759
[NAME] | LSO | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 67.1999969482422 | 67.3000030517578 | 67.0999984741211 | 67.1999969482422 | 67.1999969482422 | 67.5999984741211 | 67.8000030517578 | 68.1999969482422 | 68.4000015258789 | 69 | 67.8000030517578 | 66.5999984741211 | 65.4000015258789 | 64.1999969482422 | 63 | 61.7999992370605 | 60.7000007629395 | 59.5999984741211 | 58.5 | 58.5999984741211 | 58.7000007629395 | 58.7000007629395 | 58.7999992370605
Lithuania | LTU | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 59.4000015258789 | 58.7000007629395 | 57.9000015258789 | 57.0999984741211 | 56.2999992370605 | 55.5 | 54.5999984741211 | 53.7000007629395 | 53.4000015258789 | 55.0999984741211 | 54.7999992370605 | 53.2999992370605 | 52.2999992370605 | 55.2000007629395 | 51.7999992370605 | 51 | 50.9000015258789 | 51.2999992370605 | 51.7999992370605 | 53.5999984741211 | 54.2999992370605 | 55 | 55.7999992370605
Luxembourg | LUX | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 34.2000007629395 | 35.9000015258789 | 38.0999984741211 | 37 | 37.7000007629395 | 35.2999992370605 | 36.4000015258789 | 37.5 | 37.7999992370605 | 39.7999992370605 | 41.4000015258789 | 41.0999984741211 | 42.2999992370605 | 42.4000015258789 | 44.2999992370605 | 45.4000015258789 | 46.7999992370605 | 47 | 47.0999984741211 | 48.9000015258789 | 48.7999992370605 | 49.2999992370605 | 50.7000007629395
Latvia | LVA | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 62.5999984741211 | 60.7999992370605 | 59 | 57.0999984741211 | 55.0999984741211 | 53.0999984741211 | 51.0999984741211 | 51.9000015258789 | 51.5 | 49.7000007629395 | 48.9000015258789 | 50.2000007629395 | 51.7999992370605 | 51.0999984741211 | 50.7000007629395 | 50.9000015258789 | 52.2999992370605 | 53.7000007629395 | 55.0999984741211 | 54.7999992370605 | 53.7999992370605 | 53.2999992370605 | 54.5
Macao SAR, China | MAC | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 44.7000007629395 | 45 | 46.4000015258789 | 46.7999992370605 | 47.5 | 48.5 | 55.7999992370605 | 55.2999992370605 | 55.4000015258789 | 55.5 | 55.7000007629395 | 57.5999984741211 | 57 | 55.5 | 57 | 59 | 60.7999992370605 | 64.0999984741211 | 65 | 65.9000015258789 | 65.6999969482422 | 65.8000030517578 | 65.9000015258789
St. Martin (French part) | MAF | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS
Morocco | MAR | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 26.2000007629395 | 26.6000003814697 | 26.7000007629395 | 26.8999996185303 | 27.5 | 27.7000007629395 | 28.3999996185303 | 28.8999996185303 | 29.6000003814697 | 30.2000007629395 | 29 | 25.2999992370605 | 24.7999992370605 | 27.1000003814697 | 28.2999992370605 | 27.8999996185303 | 27.2000007629395 | 27.1000003814697 | 26.6000003814697 | 25.7999992370605 | 25.8999996185303 | 26.1000003814697 | 26.2999992370605
Monaco | MCO | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS
Moldova | MDA | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 61.0999984741211 | 60.7000007629395 | 60.2999992370605 | 59.7999992370605 | 59.4000015258789 | 58.9000015258789 | 58.4000015258789 | 57.7999992370605 | 57.2000007629395 | 56.7000007629395 | 56.0999984741211 | 54 | 54.0999984741211 | 48.2000007629395 | 47.0999984741211 | 46.9000015258789 | 41.9000015258789 | 41.2999992370605 | 40.7999992370605 | 38.4000015258789 | 37.5999984741211 | 38.2000007629395 | 37
Madagascar | MDG | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 83.5999984741211 | 83.6999969482422 | 83.8000030517578 | 83.8000030517578 | 83.9000015258789 | 84 | 84 | 84 | 84.0999984741211 | 84 | 84 | 84 | 84.3000030517578 | 84.1999969482422 | 84.0999984741211 | 84.0999984741211 | 84.9000015258789 | 85.5999984741211 | 86.1999969482422 | 86.6999969482422 | 87.1999969482422 | 87 | 86.8000030517578
Maldives | MDV | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 20.2000007629395 | 21.7000007629395 | 23.2000007629395 | 24.8999996185303 | 26.5 | 28.2000007629395 | 30 | 31.7999992370605 | 33.5999984741211 | 35.5 | 37.5 | 39.9000015258789 | 42.2999992370605 | 44.9000015258789 | 47.5 | 50.2000007629395 | 52.9000015258789 | 53.4000015258789 | 54 | 54.5 | 55.0999984741211 | 55.5 | 55.9000015258789
Middle East & North Africa (all income levels) | MEA | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 18.11736022096546 | 17.40332171702235 | 17.48681870138762 | 17.54960240042549 | 18.01373843405377 | 18.09517514371201 | 18.14024847516913 | 18.25897857273129 | 18.4138216077298 | 18.88361158184016 | 18.99791906743314 | 18.91679639825309 | 18.8502463001413 | 19.54596878233599 | 20.09591341502786 | 20.56398700676083 | 20.4496309112946 | 20.85149319546385 | 20.47102465557917 | 20.58615305855763 | 20.85923261324081 | 21.04150407410226 | 21.34598993748594
Mexico | MEX | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 34.2999992370605 | 34.0999984741211 | 35 | 36.0999984741211 | 36.7000007629395 | 37.9000015258789 | 37.9000015258789 | 39.9000015258789 | 39.5999984741211 | 38.7999992370605 | 39.0999984741211 | 38.4000015258789 | 39.0999984741211 | 38.5999984741211 | 40.7999992370605 | 41.0999984741211 | 42.2000007629395 | 42.9000015258789 | 43.5 | 42.7999992370605 | 43.7999992370605 | 43.2000007629395 | 45
Marshall Islands | MHL | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS
Middle income | MIC | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 50.82783117451044 | 50.80705201845669 | 50.89065079832707 | 50.77439666214028 | 50.90487579912206 | 50.84802064045163 | 50.69425199589625 | 50.56755937390299 | 50.47875900562897 | 50.45778679425393 | 50.16934271146788 | 50.1530176421255 | 50.01418059148537 | 49.90501711214058 | 49.82303529492012 | 49.80772785680396 | 49.18740697625343 | 48.61941378165214 | 48.0441847595322 | 47.55032248688406 | 47.02820297922609 | 47.11270302714899 | 47.20535335409527
Macedonia, FYR | MKD | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 42.5999984741211 | 42.7999992370605 | 42.9000015258789 | 43 | 42.9000015258789 | 42.7999992370605 | 42.5999984741211 | 42 | 41.5 | 41 | 41.2999992370605 | 41.5999984741211 | 41.9000015258789 | 42.5999984741211 | 40.2999992370605 | 42.2000007629395 | 41.9000015258789 | 42.9000015258789 | 42.5999984741211 | 42.4000015258789 | 42.7999992370605 | 43.4000015258789 | 42.9000015258789
[NAME] | MLI | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 37.0999984741211 | 37 | 36.5 | 36.9000015258789 | 37.0999984741211 | 37 | 37 | 36.7999992370605 | 36.5999984741211 | 36.5 | 36.5999984741211 | 36 | 36 | 35.7999992370605 | 35.9000015258789 | 38.0999984741211 | 40.5 | 42.7999992370605 | 45.2999992370605 | 47.7000007629395 | 50.2000007629395 | 50.4000015258789 | 50.5999984741211
Malta | MLT | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 27 | 27.7000007629395 | 28 | 28.1000003814697 | 27.7999992370605 | 28.1000003814697 | 28.3999996185303 | 28.7000007629395 | 29.2999992370605 | 29.8999996185303 | 30.3999996185303 | 30.1000003814697 | 31.2999992370605 | 30.6000003814697 | 28.5 | 30.2999992370605 | 30.5 | 32.2999992370605 | 33.4000015258789 | 33.7000007629395 | 34.5999984741211 | 35.5999984741211 | 38
Myanmar | MMR | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 72.4000015258789 | 72.4000015258789 | 72.5 | 72.5999984741211 | 72.6999969482422 | 72.8000030517578 | 72.9000015258789 | 73 | 73.0999984741211 | 73.3000030517578 | 73.4000015258789 | 73.5999984741211 | 73.8000030517578 | 74.0999984741211 | 74.3000030517578 | 74.5 | 74.6999969482422 | 74.8000030517578 | 75 | 75.0999984741211 | 75.0999984741211 | 75.1999969482422 | 75.1999969482422
Middle East & North Africa (developing only) | MNA | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 17.48520923613923 | 16.64317906485459 | 16.84506438161716 | 16.85027552176825 | 17.29277104544477 | 17.19351618437461 | 17.22482884188761 | 17.3235311696221 | 17.45150632852459 | 17.90565651352524 | 18.03405789125286 | 17.94276452442359 | 17.86333568635262 | 18.58083699520862 | 19.13686623025139 | 19.5804017400416 | 19.33892998583488 | 19.7208144047812 | 19.22754966212741 | 19.27591619758481 | 19.49060157268403 | 19.64312475595043 | 19.81454725455674
Montenegro | MNE | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 44.7000007629395 | 44.7999992370605 | 44.7999992370605 | 44.7000007629395 | 44.4000015258789 | 44 | 43.5999984741211 | 43.4000015258789 | 43.2999992370605 | 43.5 | 43.4000015258789 | 43.2999992370605 | 43.2000007629395 | 43.0999984741211 | 43 | 42.9000015258789 | 43.4000015258789 | 44.2000007629395 | 44.2000007629395 | 43.7999992370605 | 43 | 42.2000007629395 | 43
Mongolia | MNG | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 52.5 | 53.2000007629395 | 53.9000015258789 | 54.4000015258789 | 54.7000007629395 | 54.7999992370605 | 55.0999984741211 | 55.2999992370605 | 55.5 | 55.7000007629395 | 55.7999992370605 | 55.9000015258789 | 55.7999992370605 | 55.5999984741211 | 55.5 | 55.4000015258789 | 55.5 | 55.5999984741211 | 53.7999992370605 | 55.5 | 55.0999984741211 | 55.5999984741211 | 56.0999984741211
Northern Mariana Islands | MNP | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS
Mozambique | MOZ | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 85.3000030517578 | 85.4000015258789 | 86 | 86.1999969482422 | 86.5 | 86.8000030517578 | 86.9000015258789 | 86.9000015258789 | 87.3000030517578 | 87.5 | 87.6999969482422 | 87.9000015258789 | 87.9000015258789 | 87.9000015258789 | 87.5999984741211 | 87.4000015258789 | 87.1999969482422 | 86.9000015258789 | 86.6999969482422 | 86.4000015258789 | 86.1999969482422 | 86 | 85.6999969482422
Mauritania | MRT | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 18.3999996185303 | 18.7999992370605 | 19.2000007629395 | 19.2000007629395 | 20.2000007629395 | 20 | 20.2000007629395 | 21.3999996185303 | 22 | 22.2000007629395 | 23 | 23.7000007629395 | 24.6000003814697 | 25 | 25.5 | 25.8999996185303 | 24.7000007629395 | 26.3999996185303 | 26.8999996185303 | 28 | 28.2999992370605 | 28.3999996185303 | 28.6000003814697
[NAME] | MUS | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 37.0999984741211 | 37.2000007629395 | 37.5 | 38.2000007629395 | 38.7999992370605 | 39.0999984741211 | 39.4000015258789 | 39.7000007629395 | 40.0999984741211 | 40.4000015258789 | 40.7000007629395 | 41 | 40.5999984741211 | 40.2000007629395 | 39.7000007629395 | 41.0999984741211 | 41.4000015258789 | 40.7000007629395 | 41.5 | 41.7999992370605 | 43.2999992370605 | 43.4000015258789 | 43.5
[NAME] | MWI | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 76 | 76 | 76 | 75.9000015258789 | 75.8000030517578 | 75.8000030517578 | 75.9000015258789 | 76 | 76.0999984741211 | 76.6999969482422 | 77.1999969482422 | 77.6999969482422 | 78.0999984741211 | 78.5 | 78.9000015258789 | 79.1999969482422 | 82 | 83.4000015258789 | 85.5999984741211 | 85.3000030517578 | 85.0999984741211 | 84.9000015258789 | 84.6999969482422
Malaysia | MYS | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 43.0999984741211 | 43 | 42.9000015258789 | 42.7999992370605 | 42.7000007629395 | 42.5999984741211 | 42.5 | 42.4000015258789 | 42.2999992370605 | 42.5999984741211 | 44.5999984741211 | 44.5 | 44.4000015258789 | 44.4000015258789 | 44.4000015258789 | 44.2999992370605 | 44.2999992370605 | 44.2999992370605 | 44.2999992370605 | 44.2000007629395 | 44.0999984741211 | 44.2000007629395 | 44.2999992370605
North America | NAC | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 56.54912387202278 | 56.27937282514466 | 56.57978112415552 | 56.6498704476144 | 57.5301905969519 | 57.70037861159788 | 58.06033183981864 | 58.54023977201039 | 58.69022476438062 | 58.92023081460086 | 58.97009097680369 | 58.81997716140049 | 58.75002712468574 | 58.76075043831632 | 58.50150603455616 | 58.56183439618176 | 58.68197622616027 | 58.66313906128546 | 58.8640590796593 | 58.57541617807376 | 58.02739847004714 | 57.47931265386663 | 57.29116576364385
Namibia | NAM | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 48 | 48.4000015258789 | 48.7000007629395 | 49.2999992370605 | 49.5999984741211 | 48.9000015258789 | 48.4000015258789 | 47.9000015258789 | 48.2000007629395 | 48.5999984741211 | 48.9000015258789 | 50.4000015258789 | 51.7999992370605 | 53.0999984741211 | 54.4000015258789 | 55.5 | 56.5999984741211 | 57.5999984741211 | 58.5999984741211 | 57.5999984741211 | 56.5 | 55.4000015258789 | 54.2999992370605
New Caledonia | NCL | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 45.5 | 46.0999984741211 | 46.7000007629395 | 47.2999992370605 | 47.9000015258789 | 48.4000015258789 | 48.7999992370605 | 48.7000007629395 | 48.5 | 48.5 | 48.2999992370605 | 48.0999984741211 | 48 | 48 | 47.9000015258789 | 47.7000007629395 | 47.4000015258789 | 47.0999984741211 | 46.7000007629395 | 46.2000007629395 | 45.7999992370605 | 45.7000007629395 | 45.7000007629395
[NAME] | NER | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 24.5 | 25.7000007629395 | 26.8999996185303 | 28.2000007629395 | 29.5 | 30.7999992370605 | 32.2000007629395 | 33.5 | 35 | 36.4000015258789 | 37.9000015258789 | 39.4000015258789 | 39.2999992370605 | 39.2999992370605 | 39.2000007629395 | 39.2000007629395 | 39.2999992370605 | 39.4000015258789 | 39.5 | 39.5999984741211 | 39.7999992370605 | 39.9000015258789 | 39.9000015258789
Nigeria | NGA | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 39 | 39.5 | 40.0999984741211 | 40.5999984741211 | 41.2000007629395 | 41.7000007629395 | 42.2999992370605 | 42.9000015258789 | 43.5 | 44.2000007629395 | 44.7999992370605 | 45.5 | 46.2000007629395 | 46.7999992370605 | 47.5 | 47.5999984741211 | 47.7000007629395 | 47.7000007629395 | 47.7999992370605 | 47.9000015258789 | 47.9000015258789 | 48 | 48.0999984741211
Nicaragua | NIC | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 35 | 34.5999984741211 | 34.2999992370605 | 34 | 33.7000007629395 | 33.4000015258789 | 34.2999992370605 | 35.2000007629395 | 36.2000007629395 | 37.2000007629395 | 38.2000007629395 | 39.2000007629395 | 40.2999992370605 | 41.2999992370605 | 42.4000015258789 | 43.5 | 44.5999984741211 | 45 | 45.4000015258789 | 45.7999992370605 | 46.2000007629395 | 46.5999984741211 | 47
Netherlands | NLD | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 43 | 43.7999992370605 | 45.0999984741211 | 45.5999984741211 | 46.7000007629395 | 47.4000015258789 | 48.4000015258789 | 49.7999992370605 | 50.7000007629395 | 52.2000007629395 | 53.2999992370605 | 54.2999992370605 | 55 | 55.7999992370605 | 56.2000007629395 | 56.7999992370605 | 57.2999992370605 | 58.5 | 59.2999992370605 | 59.7000007629395 | 58.2000007629395 | 58.2000007629395 | 58.7000007629395
High income: nonOECD | NOC | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 55.11929434788073 | 54.15688579378529 | 53.17535315947932 | 51.43415543530995 | 49.66458214511855 | 49.48066549859004 | 48.76142609219937 | 47.95532882819017 | 47.3056101321994 | 50.35469370818736 | 50.34832218603088 | 49.40996924151031 | 50.17804314059682 | 50.99945847123882 | 51.37079256209921 | 51.75754072867508 | 52.01554846995884 | 52.38369945533117 | 52.20734066521561 | 52.23826282444985 | 51.73572696326831 | 52.05631277575491 | 52.13937131480272
Norway | NOR | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 55.2000007629395 | 55.0999984741211 | 54.7000007629395 | 54.7999992370605 | 55.2000007629395 | 56.0999984741211 | 57.5999984741211 | 58.7999992370605 | 59.7000007629395 | 60 | 60.2000007629395 | 60.4000015258789 | 60.9000015258789 | 60.5 | 60.4000015258789 | 60.2999992370605 | 60.4000015258789 | 61.5999984741211 | 62.7999992370605 | 62.2000007629395 | 61.4000015258789 | 61.5 | 61.5
Nepal | NPL | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 79.8000030517578 | 79.8000030517578 | 79.8000030517578 | 79.8000030517578 | 79.8000030517578 | 80 | 80.3000030517578 | 80.8000030517578 | 81.3000030517578 | 81.9000015258789 | 81.6999969482422 | 81.5 | 81.1999969482422 | 80.9000015258789 | 80.6999969482422 | 80.5 | 80.1999969482422 | 80 | 79.8000030517578 | 79.9000015258789 | 79.9000015258789 | 79.9000015258789 | 79.9000015258789
New Zealand | NZL | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 53.5999984741211 | 53.5999984741211 | 53.4000015258789 | 53.2999992370605 | 54.4000015258789 | 55.2000007629395 | 56.5 | 56.2999992370605 | 56.2000007629395 | 56.5999984741211 | 56.7999992370605 | 57.7000007629395 | 58.5 | 58.7999992370605 | 59.2000007629395 | 60.2999992370605 | 60.7999992370605 | 61.2999992370605 | 61.5999984741211 | 61.5999984741211 | 61.5 | 61.9000015258789 | 62.0999984741211
High income: OECD | OEC | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 49.32556942582427 | 49.79367799238192 | 49.8018732472697 | 49.78715998594008 | 50.13881634255641 | 50.25935230449564 | 50.5792533411915 | 50.93692008648143 | 50.99742912353332 | 51.24020197437862 | 51.45405784961756 | 51.4186079962115 | 51.51266324268419 | 51.71403614090654 | 51.89488521256038 | 52.14762348243216 | 52.42124743913821 | 52.58196316305718 | 52.88412952478569 | 52.9196000575846 | 52.9772105080256 | 52.77696084096701 | 52.96948355742796
OECD members | OED | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 47.7129970430824 | 48.07603009520792 | 48.05553135348487 | 47.80712102723435 | 48.29422365829328 | 48.41991485130685 | 48.65007670286365 | 48.99328957922275 | 49.03060601265032 | 49.20114689572245 | 49.22324368881513 | 49.14102388651738 | 49.29105535011547 | 49.34918313378957 | 49.51338333945474 | 49.73893573980143 | 50.05403485137646 | 50.22689707363941 | 50.56143542583131 | 50.59778021250606 | 50.79671457353746 | 50.6201363198467 | 50.95008638233168
Oman | OMN | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 17.2999992370605 | 17.6000003814697 | 17.8999996185303 | 18.3999996185303 | 18.8999996185303 | 19.5 | 20.1000003814697 | 20.7000007629395 | 21.3999996185303 | 22.2000007629395 | 22.7000007629395 | 23.2000007629395 | 23.7999992370605 | 24.5 | 25 | 25.5 | 25.8999996185303 | 26.3999996185303 | 26.7000007629395 | 27.2999992370605 | 27.7999992370605 | 28.2000007629395 | 28.6000003814697
Other small states | OSS | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 51.94758850757567 | 52.03354954883686 | 52.15635035772235 | 52.34346598667999 | 52.50229927909879 | 52.60843724679921 | 52.69063719115871 | 52.86730036692948 | 53.51304240624219 | 53.83326147784911 | 53.91491600540544 | 54.2789461407508 | 54.53223177673866 | 54.68392700747948 | 54.78278879729525 | 55.0438042342892 | 55.22360100830898 | 55.31114016470414 | 55.45981925902049 | 55.45024732917054 | 55.52857021713971 | 55.45936154524954 | 55.4690383296074
Pakistan | PAK | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.3999996185303 | 13.8000001907349 | 13.8000001907349 | 14.1999998092651 | 14.6000003814697 | 12.5 | 13.6000003814697 | 14.8000001907349 | 15.1999998092651 | 15.5 | 16 | 15.8999996185303 | 16.1000003814697 | 17 | 17.8999996185303 | 19.2999992370605 | 20.8999996185303 | 21.1000003814697 | 21.5 | 22.7999992370605 | 23.8999996185303 | 24.1000003814697 | 24.3999996185303
Panama | PAN | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 38.9000015258789 | 39.0999984741211 | 39.7000007629395 | 40.4000015258789 | 41.4000015258789 | 42.7999992370605 | 43.2000007629395 | 43.7000007629395 | 44.7000007629395 | 44.4000015258789 | 45 | 45.5999984741211 | 46.2000007629395 | 46.7999992370605 | 47 | 47.9000015258789 | 46.5 | 47.4000015258789 | 48.5 | 49.5 | 48.7999992370605 | 48.9000015258789 | 49
Peru | PER | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46 | 43.9000015258789 | 45.4000015258789 | 46.9000015258789 | 48.4000015258789 | 51.2000007629395 | 54.2999992370605 | 57.5 | 58.2000007629395 | 61.0999984741211 | 57.5999984741211 | 62.5 | 60.5 | 58.5 | 58 | 57.5999984741211 | 58.0999984741211 | 64.9000015258789 | 65.5 | 67.5 | 67.5999984741211 | 67.8000030517578 | 68
Philippines | PHL | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 47.9000015258789 | 47.5999984741211 | 48.2999992370605 | 48.2000007629395 | 48 | 49.5 | 49.2000007629395 | 49.2999992370605 | 49.7000007629395 | 50.2000007629395 | 48.7000007629395 | 52.7000007629395 | 51.7000007629395 | 51.0999984741211 | 50.2000007629395 | 49.7999992370605 | 48.7000007629395 | 48.2999992370605 | 48.7000007629395 | 49.2999992370605 | 50.2999992370605 | 50.9000015258789 | 51
Palau | PLW | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS
[NAME] | PNG | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 70.9000015258789 | 70.5 | 70 | 69.4000015258789 | 69.3000030517578 | 69.6999969482422 | 69.5999984741211 | 70 | 70.3000030517578 | 70.5 | 70.8000030517578 | 71 | 71.1999969482422 | 71.1999969482422 | 71.3000030517578 | 71.3000030517578 | 71.3000030517578 | 71.0999984741211 | 71 | 70.9000015258789 | 70.5999984741211 | 70.5999984741211 | 70.5
Poland | POL | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 55.2000007629395 | 54.4000015258789 | 53.5999984741211 | 53.0999984741211 | 52.4000015258789 | 51.0999984741211 | 50.5 | 49.7999992370605 | 49.5 | 48.7000007629395 | 49.2000007629395 | 49.0999984741211 | 48.2000007629395 | 47.9000015258789 | 47.5999984741211 | 47.5 | 46.5999984741211 | 46.4000015258789 | 46.7000007629395 | 47.4000015258789 | 48.2999992370605 | 48.5 | 48.9000015258789
Puerto Rico | PRI | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 30.5 | 30.8999996185303 | 31.5 | 33.5999984741211 | 33.4000015258789 | 33.2000007629395 | 33.7000007629395 | 34.7999992370605 | 34.7000007629395 | 36.2999992370605 | 34.7999992370605 | 35.7000007629395 | 36.5999984741211 | 37.2999992370605 | 36.7999992370605 | 38.0999984741211 | 38.7999992370605 | 37.5 | 36.9000015258789 | 37.5 | 35.0999984741211 | 34.5 | 34.0999984741211
Korea, Dem. Rep. | PRK | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 76.5999984741211 | 76.5 | 76.1999969482422 | 76 | 75.8000030517578 | 75.5999984741211 | 75.4000015258789 | 75.1999969482422 | 75.0999984741211 | 74.8000030517578 | 74.5999984741211 | 74.4000015258789 | 74.0999984741211 | 73.9000015258789 | 73.6999969482422 | 73.5 | 73.1999969482422 | 73 | 72.8000030517578 | 72.6999969482422 | 72.5 | 72.4000015258789 | 72.3000030517578
Portugal | PRT | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 49 | 50.5999984741211 | 48.7000007629395 | 49 | 49.4000015258789 | 49.2999992370605 | 50 | 51.0999984741211 | 51.5999984741211 | 52 | 52.7999992370605 | 53.5 | 54.0999984741211 | 54.5999984741211 | 54.5999984741211 | 55.4000015258789 | 55.7999992370605 | 56.2000007629395 | 56.0999984741211 | 56 | 56.2999992370605 | 55.2999992370605 | 55.4000015258789
Paraguay | PRY | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 53.5999984741211 | 54.2000007629395 | 54.5999984741211 | 55.0999984741211 | 55.5 | 55.9000015258789 | 53.4000015258789 | 50.7000007629395 | 48.2000007629395 | 49.5999984741211 | 51.0999984741211 | 52.4000015258789 | 53 | 53.5 | 54 | 54.5999984741211 | 55.2999992370605 | 55.9000015258789 | 55.5 | 57.2000007629395 | 54.7999992370605 | 55.0999984741211 | 55.4000015258789
Pacific island small states | PSS | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 40.17528012671306 | 41.21517338273421 | 42.1484096132745 | 43.15990220505911 | 44.10164839175633 | 45.01241496205967 | 45.90264877199262 | 45.65817137059577 | 45.45492363786379 | 45.28672155509364 | 45.16708218286649 | 45.07935191115553 | 45.03234479421017 | 45.04159417949001 | 44.95377329617109 | 44.81517392383253 | 44.60448412660081 | 44.37389215928187 | 44.13376421691557 | 43.98962235979218 | 43.94951299211081 | 43.94747837652974 | 44.06945644190031
French Polynesia | PYF | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 48.2999992370605 | 48.2999992370605 | 48.4000015258789 | 48.5 | 48.5999984741211 | 48.5999984741211 | 48.5999984741211 | 48.5 | 48.2999992370605 | 48.2000007629395 | 48 | 47.7999992370605 | 47.7000007629395 | 47.5 | 47.2999992370605 | 47.2000007629395 | 47.2000007629395 | 47.0999984741211 | 47.0999984741211 | 47 | 47 | 47 | 47.0999984741211
Qatar | QAT | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.5999984741211 | 42.4000015258789 | 42.2000007629395 | 42.5999984741211 | 42.5999984741211 | 42.2999992370605 | 41.5 | 39.2999992370605 | 38.5999984741211 | 38.4000015258789 | 38 | 39.0999984741211 | 39.7999992370605 | 41.2999992370605 | 42.0999984741211 | 44.7000007629395 | 47.7999992370605 | 50.0999984741211 | 50.2000007629395 | 50.0999984741211 | 50.5 | 50.7000007629395 | 50.7999992370605
Romania | [NAME] | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 51.5999984741211 | 52.0999984741211 | 52.4000015258789 | 53.2999992370605 | 54.5 | 56 | 57.7999992370605 | 59.9000015258789 | 58.9000015258789 | 59.0999984741211 | 58.5999984741211 | 57.2999992370605 | 51.2999992370605 | 50.2999992370605 | 49.7999992370605 | 48 | 48.9000015258789 | 48.5999984741211 | 48.0999984741211 | 47.9000015258789 | 48.2000007629395 | 48.2999992370605 | 48.5
Russian Federation | RUS | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 59.5999984741211 | 58.4000015258789 | 57.0999984741211 | 55 | 52.7999992370605 | 52.7000007629395 | 51.7999992370605 | 50.7999992370605 | 50 | 54 | 54.0999984741211 | 52.9000015258789 | 54 | 55.0999984741211 | 55.7000007629395 | 56.2000007629395 | 56.5 | 57.0999984741211 | 56.9000015258789 | 57 | 56.4000015258789 | 56.9000015258789 | 57
Rwanda | RWA | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 88.9000015258789 | 88.5 | 88 | 87.5 | 87 | 86.3000030517578 | 85.5999984741211 | 85.8000030517578 | 85.9000015258789 | 85.9000015258789 | 86 | 86 | 85.8000030517578 | 85.6999969482422 | 85.5999984741211 | 85.6999969482422 | 85.9000015258789 | 86.0999984741211 | 86.4000015258789 | 86.5999984741211 | 86.6999969482422 | 86.6999969482422 | 86.5
South Asia | SAS | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 35.83142384943936 | 36.02319313853226 | 36.15965780890497 | 36.26085249467957 | 36.35536169331635 | 35.84599313441029 | 35.62839273364509 | 35.44337965230402 | 35.29489639597397 | 34.97476739439361 | 34.70167932997786 | 35.16199298568718 | 35.6337429252786 | 36.17971459188765 | 36.71733095940364 | 37.31908783194023 | 36.19720310558606 | 34.9034550228355 | 33.73407380447063 | 32.67746299037406 | 31.58011040426232 | 31.7031304955663 | 31.83515247407659
Saudi Arabia | SAU | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.3999996185303 | 14.3999996185303 | 14.5 | 14.8999996185303 | 15.1999998092651 | 15.5 | 15.6999998092651 | 16 | 16.2999992370605 | 16.7000007629395 | 16.1000003814697 | 15.8999996185303 | 15.8999996185303 | 16.3999996185303 | 17 | 17.6000003814697 | 18.2999992370605 | 18 | 17.7000007629395 | 17.3999996185303 | 17.7000007629395 | 18 | 18.2000007629395
Sudan | SDN | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 27.2999992370605 | 26.7999992370605 | 26.2999992370605 | 25.7999992370605 | 26.6000003814697 | 27.5 | 28.5 | 28.7000007629395 | 28.8999996185303 | 29.1000003814697 | 29.2999992370605 | 29.3999996185303 | 29.6000003814697 | 29.7999992370605 | 30 | 30.2000007629395 | 30.2999992370605 | 30.5 | 30.6000003814697 | 30.7999992370605 | 30.8999996185303 | 31.1000003814697 | 31.2000007629395
Senegal | SEN | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 62.0999984741211 | 62.2999992370605 | 62.7000007629395 | 63 | 63.4000015258789 | 63.4000015258789 | 63.5999984741211 | 63.7999992370605 | 63.7999992370605 | 63.7000007629395 | 63.9000015258789 | 64.0999984741211 | 64.5 | 64.5 | 64.5999984741211 | 64.6999969482422 | 65 | 65.0999984741211 | 65.1999969482422 | 65.5 | 65.6999969482422 | 65.8000030517578 | 65.9000015258789
Singapore | SGP | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 50.7000007629395 | 49.7999992370605 | 50.0999984741211 | 49.5999984741211 | 49.7999992370605 | 49.7000007629395 | 51 | 50.4000015258789 | 50.2999992370605 | 51.2999992370605 | 52.5999984741211 | 52 | 50.9000015258789 | 51.5 | 52 | 53.5 | 55.0999984741211 | 55.4000015258789 | 56.4000015258789 | 56.0999984741211 | 57.2999992370605 | 58.0999984741211 | 59
Solomon Islands | SLB | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 52.7000007629395 | 52.5999984741211 | 52.5999984741211 | 52.5999984741211 | 52.5999984741211 | 52.7000007629395 | 52.7999992370605 | 52.7999992370605 | 52.9000015258789 | 53 | 53 | 53.0999984741211 | 53.2999992370605 | 53.5 | 53.7000007629395 | 53.7000007629395 | 53.7000007629395 | 53.5999984741211 | 53.5 | 53.4000015258789 | 53.4000015258789 | 53.4000015258789 | 53.4000015258789
Sierra Leone | SLE | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 63.2999992370605 | 63.0999984741211 | 64.1999969482422 | 64.0999984741211 | 64.1999969482422 | 64.5999984741211 | 64.4000015258789 | 65.4000015258789 | 65.5 | 66 | 66 | 65.3000030517578 | 64.3000030517578 | 64.0999984741211 | 65.4000015258789 | 65.5 | 65.5999984741211 | 65.5999984741211 | 65.6999969482422 | 65.6999969482422 | 65.6999969482422 | 65.6999969482422 | 65.6999969482422
El Salvador | SLV | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 40.5999984741211 | 40.7000007629395 | 40.7999992370605 | 42.7999992370605 | 44.2000007629395 | 42.5999984741211 | 41.4000015258789 | 41.5999984741211 | 44.7999992370605 | 45 | 44.7999992370605 | 44.5 | 44.2999992370605 | 45.4000015258789 | 43.9000015258789 | 44.7000007629395 | 45.4000015258789 | 45.5999984741211 | 45.9000015258789 | 46.5 | 47.2000007629395 | 47.4000015258789 | 47.5999984741211
[NAME] | SMR | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS
Somalia | SOM | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 35 | 35.0999984741211 | 35.2000007629395 | 35.2999992370605 | 35.5 | 35.5999984741211 | 35.7000007629395 | 35.7999992370605 | 35.9000015258789 | 36 | 36.0999984741211 | 36.2000007629395 | 36.2999992370605 | 36.4000015258789 | 36.5 | 36.5999984741211 | 36.7000007629395 | 36.7999992370605 | 36.7999992370605 | 36.9000015258789 | 37 | 37.0999984741211 | 37.2000007629395
Serbia | SRB | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 44.2999992370605 | 44.5 | 44.5 | 44.5 | 44.5 | 44.5 | 44.5999984741211 | 44.7000007629395 | 44.7999992370605 | 44.9000015258789 | 45 | 45.2000007629395 | 45.2999992370605 | 45.5 | 45.5999984741211 | 45.7000007629395 | 45.7999992370605 | 46.5 | 46.5 | 45.2000007629395 | 43.9000015258789 | 44.0999984741211 | 44.2999992370605
Sub-Saharan Africa (developing only) | SSA | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 58.9534384493174 | 59.22648335083648 | 59.59463477250827 | 59.84724318995404 | 60.15258401484346 | 60.35660444486353 | 60.5580420605012 | 60.79857791233065 | 61.05520572868307 | 61.2857230649044 | 61.77724176271353 | 62.180782529816 | 62.45431066512851 | 62.55216553179768 | 62.61599090938822 | 62.82699449699287 | 63.05048629280945 | 63.05314112844856 | 63.22052439454725 | 63.23535902180055 | 63.25924234664482 | 63.37939839502781 | 63.48988385187932
South Sudan | SSD | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS
Sub-Saharan Africa (all income levels) | SSF | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 58.97067846797808 | 59.2434431281455 | 59.61115887138966 | 59.86336671578012 | 60.16830287181821 | 60.37204372990738 | 60.57317490633599 | 60.81349713912174 | 61.06986462610974 | 61.30025503154872 | 61.79147693115078 | 62.19482057288585 | 62.46827532630132 | 62.56621010013542 | 62.6301358291429 | 62.84110311703374 | 63.06452549985396 | 63.06727149577922 | 63.23459510865832 | 63.24956742914895 | 63.27357405279336 | 63.39368285802597 | 63.50420364270863
Small states | SST | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 51.52854184906711 | 52.0400003213005 | 52.1970997472849 | 52.34743615219437 | 52.69184946996228 | 52.64222787862033 | 52.718562204023 | 52.58208010965799 | 52.74301722209382 | 52.88551646366392 | 52.87112944105527 | 53.07989695810063 | 53.22536940826014 | 53.41341316347679 | 53.6155239375539 | 53.98175528864128 | 54.158639590581 | 54.2162276919346 | 54.41897208712841 | 54.16677653632321 | 54.21165224280328 | 54.18027387290397 | 54.28954470136639
Sao Tome and Principe | STP | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 36.4000015258789 | 36.5999984741211 | 37.0999984741211 | 37.5999984741211 | 38.0999984741211 | 38.4000015258789 | 38.5999984741211 | 38.5999984741211 | 38.5 | 38.5 | 38.7000007629395 | 39 | 39.5 | 40 | 40.5999984741211 | 41.2000007629395 | 41.7000007629395 | 42.2999992370605 | 42.9000015258789 | 43.4000015258789 | 44 | 44.5 | 44.9000015258789
Suriname | SUR | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 43.5 | 40.5 | 37.5999984741211 | 32.2999992370605 | 34.5999984741211 | 32.7999992370605 | 33.7000007629395 | 34.5 | 35.2000007629395 | 36 | 36.2999992370605 | 36.5999984741211 | 36.7999992370605 | 37.0999984741211 | 37.4000015258789 | 37.7999992370605 | 38.2000007629395 | 38.7000007629395 | 39.2000007629395 | 39.7000007629395 | 40.0999984741211 | 40.2999992370605 | 40.4000015258789
Slovak Republic | SVK | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 58.9000015258789 | 59.5999984741211 | 57.5 | 55.0999984741211 | 51.4000015258789 | 51.5 | 52.2999992370605 | 51.7999992370605 | 51.5 | 52 | 52.5999984741211 | 53 | 52.5 | 52.7999992370605 | 52.5 | 51.2000007629395 | 50.5999984741211 | 50.4000015258789 | 51 | 50.2999992370605 | 50.7999992370605 | 50.4000015258789 | 51
Slovenia | SVN | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 47.7999992370605 | 47.5999984741211 | 47.4000015258789 | 47.2000007629395 | 51.7999992370605 | 52.4000015258789 | 51.4000015258789 | 52.5999984741211 | 53.0999984741211 | 51.7999992370605 | 51.2000007629395 | 50.9000015258789 | 51 | 50.0999984741211 | 52.5 | 52.7999992370605 | 53.2000007629395 | 53.4000015258789 | 53.5999984741211 | 53.5 | 53.0999984741211 | 52.2999992370605 | 52.2999992370605
Sweden | SWE | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 62.4000015258789 | 61.9000015258789 | 60.5 | 59 | 58.0999984741211 | 58.5999984741211 | 58.7999992370605 | 57.7999992370605 | 57 | 57.4000015258789 | 58.0999984741211 | 58.7000007629395 | 58.7000007629395 | 58.5999984741211 | 58.5999984741211 | 59.2999992370605 | 59.5999984741211 | 59.9000015258789 | 59.9000015258789 | 59.5 | 59 | 59.7000007629395 | 60.2000007629395
Swaziland | SWZ | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.9000015258789 | 42 | 42.0999984741211 | 42.2000007629395 | 42.2999992370605 | 42.4000015258789 | 42.4000015258789 | 42.5 | 42.5999984741211 | 42.5999984741211 | 42.7000007629395 | 42.7000007629395 | 42.7999992370605 | 42.7999992370605 | 42.7999992370605 | 42.9000015258789 | 43 | 43.0999984741211 | 43.2000007629395 | 43.2999992370605 | 43.5 | 43.5999984741211 | 43.7999992370605
Sint Maarten (Dutch part) | SXM | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS
Seychelles | SYC | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS
Syrian Arab Republic | SYR | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 18.1000003814697 | 19 | 20 | 21.1000003814697 | 22.2000007629395 | 23.2999992370605 | 22.7000007629395 | 22.2000007629395 | 21.7000007629395 | 21.2000007629395 | 20.3999996185303 | 19.7999992370605 | 19.3999996185303 | 19.2000007629395 | 17.6000003814697 | 16.2999992370605 | 15 | 14.8999996185303 | 14.6999998092651 | 13 | 13.1999998092651 | 13.3000001907349 | 13.3999996185303
Turks and Caicos Islands | TCA | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS
Chad | TCD | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 64.1999969482422 | 63.7000007629395 | 63.2999992370605 | 64.5999984741211 | 64.5999984741211 | 64.5999984741211 | 64.5 | 64.5 | 64.4000015258789 | 64.4000015258789 | 64.4000015258789 | 64.3000030517578 | 64.3000030517578 | 64.1999969482422 | 64.1999969482422 | 64.1999969482422 | 64.0999984741211 | 64.0999984741211 | 64.0999984741211 | 64.0999984741211 | 64.0999984741211 | 64 | 64
Togo | TGO | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 66.5999984741211 | 67.6999969482422 | 68.8000030517578 | 69.8000030517578 | 70.6999969482422 | 71.6999969482422 | 72.5999984741211 | 73.5 | 74.4000015258789 | 75.1999969482422 | 76.0999984741211 | 76.9000015258789 | 77.5999984741211 | 78.4000015258789 | 79.0999984741211 | 79.8000030517578 | 80.5 | 80.5 | 80.5999984741211 | 80.5999984741211 | 80.6999969482422 | 80.6999969482422 | 80.6999969482422
Thailand | THA | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 76 | 73.4000015258789 | 70.5999984741211 | 67.5999984741211 | 64.5 | 65.5999984741211 | 66.8000030517578 | 67.4000015258789 | 65.9000015258789 | 64.5 | 65.4000015258789 | 65.5 | 65.5 | 65.5 | 65.5 | 66.0999984741211 | 64.9000015258789 | 65.9000015258789 | 65.8000030517578 | 64.6999969482422 | 64.4000015258789 | 64.4000015258789 | 64.4000015258789
Tajikistan | TJK | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 58.0999984741211 | 58.0999984741211 | 58.0999984741211 | 58.2000007629395 | 58.2000007629395 | 58.2999992370605 | 58.2999992370605 | 58.2999992370605 | 58.2999992370605 | 58.2000007629395 | 58.2000007629395 | 58.0999984741211 | 57.9000015258789 | 57.7999992370605 | 57.7000007629395 | 57.7000007629395 | 57.7999992370605 | 57.9000015258789 | 58.0999984741211 | 58.2000007629395 | 58.2999992370605 | 58.5 | 58.7000007629395
Turkmenistan | TKM | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46.4000015258789 | 46.7000007629395 | 46.9000015258789 | 47.0999984741211 | 47.2000007629395 | 47.2999992370605 | 47.4000015258789 | 47.5 | 47.5999984741211 | 47.7000007629395 | 47.7999992370605 | 47.7000007629395 | 47.5999984741211 | 47.4000015258789 | 47.2000007629395 | 47 | 46.7999992370605 | 46.5999984741211 | 46.5 | 46.4000015258789 | 46.4000015258789 | 46.5 | 46.7000007629395
Timor-Leste | TLS | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.5 | 41.2000007629395 | 40.7999992370605 | 40.5 | 40 | 39.5999984741211 | 39.2000007629395 | 39 | 39.2000007629395 | 38.7999992370605 | 37.7999992370605 | 39 | 37.0999984741211 | 35.2999992370605 | 33.5999984741211 | 32 | 30.3999996185303 | 29 | 27.5 | 26.2000007629395 | 25 | 24.7999992370605 | 24.7000007629395
Tonga | TON | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 35.9000015258789 | 38.0999984741211 | 40.4000015258789 | 42.7999992370605 | 45.2999992370605 | 46.0999984741211 | 46.7999992370605 | 47.2999992370605 | 47.9000015258789 | 48.5 | 49.2000007629395 | 50.2000007629395 | 51.2999992370605 | 52.5 | 52.9000015258789 | 53.2999992370605 | 53.5 | 53.5999984741211 | 53.5999984741211 | 53.5999984741211 | 53.5999984741211 | 53.5999984741211 | 53.5
Trinidad and Tobago | TTO | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 38.5999984741211 | 44 | 43.5 | 43.2000007629395 | 44 | 44.7999992370605 | 46.9000015258789 | 46.9000015258789 | 46.7999992370605 | 46.7000007629395 | 46.5 | 47 | 47.5999984741211 | 49.5999984741211 | 51.5 | 53.5 | 53.5999984741211 | 52.4000015258789 | 53 | 51.7000007629395 | 52.5 | 52.7000007629395 | 52.9000015258789
Tunisia | TUN | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 20.8999996185303 | 21.2999992370605 | 21.6000003814697 | 22 | 22.3999996185303 | 22.7999992370605 | 23.2000007629395 | 23.6000003814697 | 23.7000007629395 | 23.7000007629395 | 23.7999992370605 | 23.7999992370605 | 23.8999996185303 | 24 | 24.2000007629395 | 24.2999992370605 | 24.3999996185303 | 24.5 | 24.7000007629395 | 24.7999992370605 | 24.8999996185303 | 25 | 25.1000003814697
Turkey | TUR | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 34.0999984741211 | 34 | 32.5999984741211 | 26.7000007629395 | 31.1000003814697 | 30.7999992370605 | 30.3999996185303 | 28.6000003814697 | 29.1000003814697 | 29.7999992370605 | 26.2999992370605 | 26.8999996185303 | 27.6000003814697 | 26.2999992370605 | 23.3999996185303 | 23.3999996185303 | 23.6000003814697 | 23.6000003814697 | 24.5 | 26.1000003814697 | 27.6000003814697 | 28.7999992370605 | 29.3999996185303
Tuvalu | TUV | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS
Tanzania | TZA | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 86.9000015258789 | 86.9000015258789 | 87 | 87 | 87.0999984741211 | 87.0999984741211 | 87.0999984741211 | 87.0999984741211 | 87.0999984741211 | 87 | 87 | 86.9000015258789 | 87.4000015258789 | 87.8000030517578 | 88.1999969482422 | 88.5 | 88.8000030517578 | 88.6999969482422 | 88.5 | 88.4000015258789 | 88.3000030517578 | 88.1999969482422 | 88.0999984741211
Uganda | UGA | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 82.4000015258789 | 82.3000030517578 | 82.3000030517578 | 82.0999984741211 | 81.9000015258789 | 81.5999984741211 | 81.4000015258789 | 81.3000030517578 | 81.1999969482422 | 80.8000030517578 | 80.8000030517578 | 80.6999969482422 | 80.5 | 79.5999984741211 | 78.5 | 77.1999969482422 | 76.9000015258789 | 76.6999969482422 | 76.5 | 76.3000030517578 | 76.0999984741211 | 76 | 75.9000015258789
Ukraine | UKR | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 56.0999984741211 | 55.5999984741211 | 55.2000007629395 | 54.7000007629395 | 54.4000015258789 | 54 | 53.7000007629395 | 53.2999992370605 | 53 | 52.5999984741211 | 52.2000007629395 | 51.7000007629395 | 52 | 51.9000015258789 | 52 | 52 | 52.0999984741211 | 52.2000007629395 | 52.2000007629395 | 52.4000015258789 | 52.4000015258789 | 52.7000007629395 | 53
Upper middle income | UMC | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 60.23217564111864 | 60.33535891280991 | 60.46963692478986 | 60.13005906954285 | 60.18020474369794 | 60.31997671609852 | 60.1387733963609 | 60.1989606626634 | 60.05220073844397 | 60.02638031776275 | 59.73751981239939 | 59.43830224284009 | 59.0550041072394 | 58.52871250005597 | 58.079093099638 | 57.74285381995013 | 57.29866216184978 | 56.96862904083755 | 56.5978263408146 | 56.35114344758916 | 56.05970301291293 | 56.18440348261262 | 56.33901630500982
Uruguay | URY | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 45 | 45.4000015258789 | 47.4000015258789 | 46.7999992370605 | 48.2000007629395 | 49.4000015258789 | 50 | 50.5999984741211 | 51.2000007629395 | 51.5999984741211 | 52 | 53.7000007629395 | 53 | 52.2999992370605 | 52.5 | 52.7000007629395 | 52.5999984741211 | 53.9000015258789 | 54.5 | 55.0999984741211 | 55.2000007629395 | 55.2999992370605 | 55.5
United States | USA | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 56.4000015258789 | 56.0999984741211 | 56.5 | 56.5999984741211 | 57.5999984741211 | 57.7999992370605 | 58.2000007629395 | 58.7000007629395 | 58.7999992370605 | 59 | 59 | 58.7999992370605 | 58.5999984741211 | 58.5 | 58.2000007629395 | 58.2999992370605 | 58.4000015258789 | 58.2999992370605 | 58.5 | 58.2000007629395 | 57.5999984741211 | 57 | 56.7999992370605
Uzbekistan | UZB | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46.2000007629395 | 46.4000015258789 | 46.5 | 46.5 | 46.5999984741211 | 46.7000007629395 | 46.7999992370605 | 47 | 47.2000007629395 | 47.2999992370605 | 47.4000015258789 | 47.5 | 47.5 | 47.5 | 47.5 | 47.5 | 47.5 | 47.5 | 47.5 | 47.5 | 47.5999984741211 | 47.7000007629395 | 47.9000015258789
St. Vincent and the Grenadines | VCT | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 44.2000007629395 | 44.5999984741211 | 45.2999992370605 | 46.0999984741211 | 46.7999992370605 | 47.5 | 48 | 48.5999984741211 | 49.0999984741211 | 49.7000007629395 | 50.2000007629395 | 50.7999992370605 | 51.5 | 52.0999984741211 | 52.7999992370605 | 53.2999992370605 | 53.9000015258789 | 54.4000015258789 | 54.7999992370605 | 55.2000007629395 | 55.5 | 55.5999984741211 | 55.7000007629395
Venezuela, RB | VEN | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 37.2999992370605 | 38.9000015258789 | 38.0999984741211 | 36.2999992370605 | 37.2999992370605 | 41.2000007629395 | 43.9000015258789 | 46.2000007629395 | 47.7999992370605 | 48.7999992370605 | 48.9000015258789 | 52.5 | 54.7000007629395 | 53.7000007629395 | 52.5999984741211 | 51.5999984741211 | 50.5999984741211 | 50.0999984741211 | 50.5999984741211 | 51 | 50.5 | 50.7000007629395 | 50.9000015258789
Virgin Islands (U.S.) | VIR | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 51.2999992370605 | 51.7999992370605 | 52.2000007629395 | 52.4000015258789 | 52.5999984741211 | 52.7000007629395 | 52.9000015258789 | 53 | 53.0999984741211 | 53.2999992370605 | 52.9000015258789 | 53.2000007629395 | 53.7000007629395 | 54.0999984741211 | 54.5 | 54.9000015258789 | 55.0999984741211 | 55.2999992370605 | 55.2999992370605 | 55.2999992370605 | 55.2000007629395 | 54.7999992370605 | 54.4000015258789
Vietnam | VNM | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 74.1999969482422 | 74.0999984741211 | 74 | 73.9000015258789 | 73.8000030517578 | 73.5999984741211 | 73.5 | 73.3000030517578 | 73.3000030517578 | 73.1999969482422 | 73.0999984741211 | 73 | 72.9000015258789 | 72.8000030517578 | 72.6999969482422 | 72.5999984741211 | 72.4000015258789 | 72.3000030517578 | 72.1999969482422 | 72.1999969482422 | 72.3000030517578 | 72.5 | 72.8000030517578
[NAME] | VUT | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 78.5999984741211 | 77.8000030517578 | 77.0999984741211 | 76.3000030517578 | 75.4000015258789 | 74.5999984741211 | 73.6999969482422 | 72.8000030517578 | 71.9000015258789 | 70.9000015258789 | 70 | 69 | 68.0999984741211 | 67.1999969482422 | 66.3000030517578 | 65.3000030517578 | 64.3000030517578 | 63.4000015258789 | 62.4000015258789 | 61.4000015258789 | 61.5 | 61.5 | 61.5
West Bank and Gaza | PSE | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10 | 10 | 10.1000003814697 | 10.1999998092651 | 10.1999998092651 | 10.1999998092651 | 10.1999998092651 | 10.3000001907349 | 10.5 | 10.8000001907349 | 10.6999998092651 | 10.5 | 10.5 | 12.1000003814697 | 13.6999998092651 | 14.1999998092651 | 14.6000003814697 | 15.1999998092651 | 15.8999996185303 | 15.6000003814697 | 14.6999998092651 | 14.8999996185303 | 15.1999998092651
World | WLD | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 52.10936853545281 | 52.16853589706719 | 52.18288015429575 | 52.02232015485811 | 52.10161034082365 | 52.07264447681408 | 51.99598105275273 | 51.94928340460211 | 51.8752349232813 | 52.03143489205015 | 51.89406011004828 | 51.87029083487938 | 51.85174278850019 | 51.87240269970727 | 51.88620965729301 | 51.96142791236366 | 51.62536957283127 | 51.30352207272137 | 50.98261107631453 | 50.67676286154362 | 50.33483281072416 | 50.39240609062828 | 50.5155524542673
Samoa | WSM | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 40 | 40.2000007629395 | 39.4000015258789 | 38.5999984741211 | 37.7999992370605 | 37 | 36.2000007629395 | 35.2999992370605 | 34.5 | 33.5999984741211 | 32.7000007629395 | 31.7999992370605 | 30.8999996185303 | 30 | 29.1000003814697 | 28.2999992370605 | 27.3999996185303 | 26.5 | 25.7000007629395 | 24.8999996185303 | 24.1000003814697 | 23.2999992370605 | 23.3999996185303
Yemen, Rep. | YEM | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 16.2000007629395 | 16.2000007629395 | 16.5 | 16.7000007629395 | 16.8999996185303 | 17.7999992370605 | 18.7999992370605 | 19.7999992370605 | 20.7999992370605 | 21.8999996185303 | 22.1000003814697 | 22.3999996185303 | 22.7000007629395 | 23 | 23.2999992370605 | 23.5 | 23.7999992370605 | 24 | 24.2999992370605 | 24.5 | 24.7999992370605 | 25 | 25.2000007629395
South Africa | ZAF | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 39.4000015258789 | 40.2999992370605 | 41.5 | 42.5 | 43.5 | 44.5 | 45.5 | 46.5 | 47.7000007629395 | 48.7999992370605 | 49.5999984741211 | 50.2000007629395 | 49.5999984741211 | 47.5 | 45 | 46.5 | 47.5999984741211 | 46.4000015258789 | 46.7000007629395 | 44.9000015258789 | 43.5 | 43.9000015258789 | 44.2000007629395
Congo, Dem. Rep. | COD | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 67.5 | 68.0999984741211 | 68.6999969482422 | 69.5 | 69.8000030517578 | 69.8000030517578 | 69.9000015258789 | 70.1999969482422 | 70.3000030517578 | 70.5999984741211 | 71 | 71.3000030517578 | 71.3000030517578 | 71.1999969482422 | 71.0999984741211 | 71 | 71 | 70.9000015258789 | 70.8000030517578 | 70.8000030517578 | 70.6999969482422 | 70.6999969482422 | 70.6999969482422
Zambia | ZMB | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 73.5999984741211 | 73.8000030517578 | 74.0999984741211 | 74 | 74.5999984741211 | 74.9000015258789 | 74.6999969482422 | 74.6999969482422 | 74.9000015258789 | 74.9000015258789 | 74.8000030517578 | 74.5999984741211 | 74.4000015258789 | 74.1999969482422 | 73.9000015258789 | 73.5999984741211 | 73.5 | 73.5 | 73.4000015258789 | 73.3000030517578 | 73.3000030517578 | 73.1999969482422 | 73.1999969482422
Zimbabwe | ZWE | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 67.0999984741211 | 67.1999969482422 | 67.3000030517578 | 67.4000015258789 | 67.5 | 67.5 | 67.5 | 67.5 | 65.9000015258789 | 64.1999969482422 | 68.5999984741211 | 72.6999969482422 | 76.5999984741211 | 80.0999984741211 | 83.1999969482422 | 83.0999984741211 | 83.0999984741211 | 83 | 83 | 83 | 83 | 83.0999984741211 | 83.1999969482422