Spreadsheet: 6c103dfe-9ef2-4909-867a-d321b60b891b
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 | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Andorra | AND | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Afghanistan | AFG | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.5 | 12.1999998092651 | 12.1000003814697 | 11.8999996185303 | 11.8000001907349 | 11.6000003814697 | 11.5 | 11.3000001907349 | 11.1999998092651 | 11 | 11 | 11 | 11 | 11.3000001907349 | 12.1999998092651 | 12.3999996185303 | 12.6000003814697 | 12.8999996185303 | 13.1000003814697 | 13.5 | 13.6000003814697 | 13.6000003814697
Angola | AGO | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 60.7999992370605 | 61.4000015258789 | 63.0999984741211 | 63.9000015258789 | 63.7999992370605 | 63.4000015258789 | 62.5999984741211 | 62.0999984741211 | 62.0999984741211 | 62.0999984741211 | 62 | 61.4000015258789 | 61.0999984741211 | 60.7000007629395 | 59.7000007629395 | 58.5999984741211 | 57.4000015258789 | 56.5999984741211 | 57 | 57.7000007629395 | 57.9000015258789 | 58.2000007629395
Albania | ALB | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 42 | 39 | 36.0999984741211 | 35.9000015258789 | 35.7000007629395 | 36.9000015258789 | 35.7999992370605 | 36.9000015258789 | 36.2999992370605 | 44.0999984741211 | 36.2999992370605 | 42.7999992370605 | 43.7999992370605 | 43 | 42.4000015258789 | 41.2999992370605 | 40.7999992370605 | 39.5 | 37.9000015258789 | 37.5 | 37.2999992370605 | 36.9000015258789
Andean Region | ANR | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Arab World | ARB | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 15.76704755012613 | 15.81409581475392 | 15.57596233369121 | 16.03508407917879 | 16.06162200335014 | 16.21393968081599 | 16.34942316894907 | 16.47877025108539 | 16.88435797465208 | 16.48281854561636 | 16.2205270655372 | 15.94327551219416 | 16.37435248726764 | 16.88949143263639 | 17.13668172400976 | 17.42673498215365 | 18.29865117727916 | 18.41292437163302 | 18.31172314017829 | 18.49175772872234 | 18.40443436867215 | 18.49733268474387
United Arab Emirates | ARE | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 24.5 | 25.6000003814697 | 26.8999996185303 | 28.5 | 30.6000003814697 | 28 | 30.1000003814697 | 30.7999992370605 | 31.3999996185303 | 31.7999992370605 | 32.0999984741211 | 32.4000015258789 | 32.7999992370605 | 33.4000015258789 | 34.4000015258789 | 36.2000007629395 | 38 | 38 | 39.2000007629395 | 40.2999992370605 | 40.5999984741211 | 41.2000007629395
Argentina | ARG | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 37.9000015258789 | 37.5 | 34.9000015258789 | 34.5 | 32 | 33 | 34 | 35.5999984741211 | 35.5999984741211 | 35.2000007629395 | 35.7000007629395 | 35.7000007629395 | 36.2000007629395 | 41.5999984741211 | 42.5999984741211 | 42.5 | 43.2999992370605 | 44 | 43.9000015258789 | 42.7000007629395 | 43.0999984741211 | 43.4000015258789
Armenia | ARM | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 47.0999984741211 | 47.2000007629395 | 47.0999984741211 | 44.2999992370605 | 40.5 | 44.5 | 46 | 39.9000015258789 | 45.2999992370605 | 41 | 34.4000015258789 | 37.2000007629395 | 35.5 | 34 | 34 | 36.7999992370605 | 31.5 | 32.7000007629395 | 40 | 40 | 40.9000015258789 | 41
American Samoa | ASM | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
[NAME] and [NAME] | ATG | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Australia | AUS | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 47.2999992370605 | 46.7999992370605 | 46.5999984741211 | 47.7000007629395 | 49.4000015258789 | 49.2999992370605 | 49.2999992370605 | 49.7999992370605 | 50.2999992370605 | 51.4000015258789 | 51.5999984741211 | 51.9000015258789 | 52.5999984741211 | 52.5999984741211 | 54 | 54.7999992370605 | 55.5 | 56 | 55.7000007629395 | 55.5999984741211 | 55.9000015258789 | 55.7000007629395
Austria | AUT | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 42 | 43.2000007629395 | 43.4000015258789 | 46.0999984741211 | 46.2000007629395 | 45.7000007629395 | 45.9000015258789 | 45.9000015258789 | 46.4000015258789 | 46.5 | 47 | 48 | 48.4000015258789 | 47.5999984741211 | 48.4000015258789 | 49.4000015258789 | 50.0999984741211 | 51.2000007629395 | 51.5999984741211 | 51.5999984741211 | 51.7999992370605 | 52.2000007629395
Azerbaijan | AZE | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 51 | 52.2000007629395 | 52.7999992370605 | 53 | 53 | 52.5 | 52.7000007629395 | 52.7999992370605 | 53.7999992370605 | 53.5 | 54.0999984741211 | 54.5999984741211 | 55.7999992370605 | 56.0999984741211 | 56.4000015258789 | 55.5999984741211 | 57.2999992370605 | 57.7999992370605 | 57.5 | 57.5999984741211 | 58 | 58.5
Burundi | BDI | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 83.0999984741211 | 82.5 | 81.6999969482422 | 81.1999969482422 | 80.4000015258789 | 79.6999969482422 | 79.1999969482422 | 78.5 | 77.9000015258789 | 77.5 | 77.3000030517578 | 77 | 76.6999969482422 | 76.5 | 76.4000015258789 | 76.3000030517578 | 76.1999969482422 | 76.0999984741211 | 76.0999984741211 | 76.1999969482422 | 76.3000030517578 | 76.4000015258789
Belgium | BEL | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 33.9000015258789 | 35 | 35.2000007629395 | 35 | 35.4000015258789 | 35.4000015258789 | 36.2000007629395 | 36.5999984741211 | 38.7000007629395 | 39.9000015258789 | 38.9000015258789 | 39.2999992370605 | 39.5999984741211 | 40.2000007629395 | 41.2999992370605 | 41.5 | 42.5999984741211 | 43.2999992370605 | 43.0999984741211 | 43.5 | 43.5 | 43.4000015258789
Benin | [NAME] | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 56.9000015258789 | 57.0999984741211 | 58 | 58.7999992370605 | 59.7000007629395 | 60.5 | 61.2000007629395 | 61.9000015258789 | 62.7999992370605 | 63.5999984741211 | 64.4000015258789 | 65.1999969482422 | 65.0999984741211 | 65.5999984741211 | 65.8000030517578 | 65.5999984741211 | 65.8000030517578 | 66.0999984741211 | 66.3000030517578 | 66.4000015258789 | 66.5 | 66.6999969482422
[NAME] | BFA | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 75.0999984741211 | 75.4000015258789 | 75 | 75.4000015258789 | 75.5 | 75.4000015258789 | 75.5 | 75.4000015258789 | 75.4000015258789 | 75.0999984741211 | 75.5 | 75.1999969482422 | 75.3000030517578 | 75.4000015258789 | 75.5 | 75.6999969482422 | 75.1999969482422 | 75.3000030517578 | 75.3000030517578 | 75.4000015258789 | 75.3000030517578 | 75.3000030517578
Bangladesh | BGD | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 59.5999984741211 | 59 | 58.2999992370605 | 57.5 | 56.7999992370605 | 56.2000007629395 | 55.0999984741211 | 54.5999984741211 | 53.2999992370605 | 52.4000015258789 | 52.5999984741211 | 52.7999992370605 | 52.4000015258789 | 52.2999992370605 | 51.9000015258789 | 52.7999992370605 | 53 | 53.2000007629395 | 53 | 53.9000015258789 | 54.0999984741211 | 54.2999992370605
Bulgaria | BGR | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 44.7999992370605 | 46.7999992370605 | 41.7999992370605 | 41.5999984741211 | 42.7999992370605 | 42.9000015258789 | 41.7000007629395 | 41.4000015258789 | 39.4000015258789 | 37.2000007629395 | 38 | 38.2999992370605 | 38.9000015258789 | 40.2999992370605 | 40.2000007629395 | 42.4000015258789 | 44.4000015258789 | 45.9000015258789 | 44.7999992370605 | 43 | 42.4000015258789 | 42.5999984741211
Bahrain | BHR | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 25.7000007629395 | 24.7999992370605 | 25.7000007629395 | 26.6000003814697 | 28.2000007629395 | 28.7999992370605 | 29.3999996185303 | 30.1000003814697 | 30.7000007629395 | 30.3999996185303 | 32 | 31.1000003814697 | 30.2999992370605 | 28.8999996185303 | 29.3999996185303 | 30 | 30.6000003814697 | 31.2000007629395 | 31.7000007629395 | 32.0999984741211 | 32.2000007629395 | 32.2999992370605
Bahamas, The | BHS | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 57.7999992370605 | 56.2000007629395 | 58.5 | 58.0999984741211 | 59.9000015258789 | 57.5 | 59 | 59.2000007629395 | 59.5999984741211 | 60.2999992370605 | 61.5 | 60.5 | 59.2000007629395 | 59.7999992370605 | 60 | 62.2000007629395 | 62.0999984741211 | 62.0999984741211 | 58.2999992370605 | 58.5 | 58.7999992370605 | 58.7999992370605
Bosnia and Herzegovina | BIH | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 26.8999996185303 | 26.5 | 26 | 25 | 26 | 25.5 | 24 | 24.3999996185303 | 24.3999996185303 | 24.3999996185303 | 23.2999992370605 | 24.1000003814697 | 23.3999996185303 | 22 | 22.7999992370605 | 20.2000007629395 | 20.7999992370605 | 23.5 | 24.3999996185303 | 23.8999996185303 | 23.7999992370605 | 23.7000007629395
Belarus | BLR | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 53.2999992370605 | 52.7000007629395 | 51.7999992370605 | 51.0999984741211 | 50.2999992370605 | 49.2999992370605 | 48.5 | 48 | 47.4000015258789 | 47.2000007629395 | 46.9000015258789 | 46.5999984741211 | 46.2000007629395 | 45.7999992370605 | 45.5 | 45.2000007629395 | 44.9000015258789 | 44.5 | 44.2999992370605 | 44.5 | 44.7000007629395 | 45.0999984741211
Belize | BLZ | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 29.7000007629395 | 29.7000007629395 | 30.2000007629395 | 29.7999992370605 | 29.2999992370605 | 29.3999996185303 | 29.2999992370605 | 29.7000007629395 | 30.8999996185303 | 33.0999984741211 | 35.0999984741211 | 35.5 | 36.2000007629395 | 36.9000015258789 | 37 | 39.2999992370605 | 40.7000007629395 | 41.5999984741211 | 42.0999984741211 | 42.9000015258789 | 43.0999984741211 | 43.5
Bermuda | BMU | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Bolivia | BOL | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 48.5 | 48.7000007629395 | 50.0999984741211 | 50.5999984741211 | 51.5 | 53.7999992370605 | 56.0999984741211 | 56.2000007629395 | 56.5999984741211 | 56.2000007629395 | 56.0999984741211 | 56.0999984741211 | 56.7999992370605 | 57.5999984741211 | 57.0999984741211 | 57.5 | 58.2999992370605 | 60.4000015258789 | 60.5999984741211 | 61.0999984741211 | 61.4000015258789 | 61.5
Brazil | BRA | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 42.4000015258789 | 48.9000015258789 | 49.2000007629395 | 49.7000007629395 | 50.2999992370605 | 47.5999984741211 | 47.9000015258789 | 47.4000015258789 | 48.4000015258789 | 48.2999992370605 | 48.2000007629395 | 49.7000007629395 | 49.5999984741211 | 50.9000015258789 | 51.7000007629395 | 52.2999992370605 | 52.0999984741211 | 52.9000015258789 | 52.4000015258789 | 53.2000007629395 | 54.0999984741211 | 54
Barbados | BRB | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 47.7999992370605 | 45.2000007629395 | 43.5999984741211 | 44.5 | 48.4000015258789 | 52.2999992370605 | 51.2999992370605 | 52.7000007629395 | 54.7000007629395 | 56.2000007629395 | 56.4000015258789 | 55.2000007629395 | 55.7000007629395 | 57 | 57.9000015258789 | 58.4000015258789 | 59.7000007629395 | 59.2999992370605 | 57.7999992370605 | 57.2999992370605 | 57 | 56.7000007629395
[NAME] | BRN | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 44.0999984741211 | 45.2999992370605 | 46.4000015258789 | 46.7999992370605 | 47.9000015258789 | 49 | 50.5 | 51.5 | 52 | 53 | 53.9000015258789 | 53.7000007629395 | 53.4000015258789 | 53.4000015258789 | 53.2000007629395 | 52.9000015258789 | 52.5 | 52.2000007629395 | 51.7999992370605 | 51.4000015258789 | 51 | 50.7000007629395
Bhutan | BTN | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 47.7999992370605 | 47 | 46.2000007629395 | 45.5999984741211 | 44.9000015258789 | 46.2999992370605 | 47.2000007629395 | 48.7000007629395 | 50.4000015258789 | 52.2000007629395 | 54.2000007629395 | 56.5999984741211 | 58.7999992370605 | 60.2000007629395 | 61.4000015258789 | 62.2000007629395 | 62.0999984741211 | 62.2000007629395 | 61.7999992370605 | 63.0999984741211 | 63 | 64.9000015258789
Botswana | BWA | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 48.0999984741211 | 51 | 50.9000015258789 | 52.5 | 52.4000015258789 | 52.2999992370605 | 52.7999992370605 | 52.7999992370605 | 53 | 50.4000015258789 | 51.9000015258789 | 53.2999992370605 | 51.5999984741211 | 52.5 | 53.4000015258789 | 57.0999984741211 | 56.0999984741211 | 54 | 56.2999992370605 | 56.0999984741211 | 56.2000007629395 | 56.7000007629395
Sub-Saharan Africa (IFC classification) | CAA | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Central African Republic | CAF | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 63.9000015258789 | 64.4000015258789 | 64.6999969482422 | 64.9000015258789 | 64.8000030517578 | 64.8000030517578 | 65.1999969482422 | 65 | 64.9000015258789 | 64.9000015258789 | 64.9000015258789 | 65.0999984741211 | 65.3000030517578 | 65.6999969482422 | 65.8000030517578 | 66 | 66.0999984741211 | 66.3000030517578 | 66.5 | 66.8000030517578 | 66.8000030517578 | 66.9000015258789
Canada | CAN | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 52.2999992370605 | 51.4000015258789 | 51 | 51.2999992370605 | 51.5999984741211 | 51.5 | 52 | 53.0999984741211 | 54 | 54.7000007629395 | 54.9000015258789 | 55.7999992370605 | 56.7999992370605 | 57 | 56.9000015258789 | 57.5 | 58.4000015258789 | 58.5999984741211 | 57.5999984741211 | 57.4000015258789 | 57.2999992370605 | 57.4000015258789
East Asia and the Pacific (IFC classification) | CEA | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Central Europe and the Baltics | CEB | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 47.64565883037038 | 47.02372379577903 | 45.81613936533419 | 45.33427813354307 | 45.26619433574237 | 45.6802101585215 | 45.94804586204708 | 45.82010343875654 | 45.15055349245858 | 43.9929018152889 | 43.42748537426549 | 41.80796480697973 | 41.90366785267306 | 41.86050456945753 | 41.7200483662481 | 42.72793789043222 | 43.75630710346255 | 44.40071568467719 | 43.91828371282835 | 43.61914434323328 | 43.6123669769505 | 43.93048381526944
Europe and Central Asia (IFC classification) | CEU | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Switzerland | CHE | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 55.5 | 55.4000015258789 | 54.5 | 53.9000015258789 | 54 | 54.7000007629395 | 54.7000007629395 | 55.5999984741211 | 56.2000007629395 | 55.9000015258789 | 56.9000015258789 | 57.5 | 56.9000015258789 | 56.4000015258789 | 56.4000015258789 | 57.0999984741211 | 57.4000015258789 | 59 | 58.7999992370605 | 57.7999992370605 | 58.2000007629395 | 58.5
Channel Islands | CHI | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Chile | CHL | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 28.6000003814697 | 30.3999996185303 | 32 | 32.2000007629395 | 31.6000003814697 | 31.6000003814697 | 32.5 | 32.7999992370605 | 31.7999992370605 | 31.8999996185303 | 31.2999992370605 | 31.2000007629395 | 32.4000015258789 | 33.4000015258789 | 34.5 | 35.2999992370605 | 36.5999984741211 | 38.0999984741211 | 38 | 42.2999992370605 | 44.5 | 45.0999984741211
China | CHN | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 69.5999984741211 | 69.8000030517578 | 69.8000030517578 | 69.6999969482422 | 69.4000015258789 | 69.1999969482422 | 69 | 68.5999984741211 | 68.3000030517578 | 68 | 67.3000030517578 | 66.5 | 65.6999969482422 | 64.9000015258789 | 64.1999969482422 | 63.7000007629395 | 63.2000007629395 | 62.2999992370605 | 61.7999992370605 | 61.2999992370605 | 61.4000015258789 | 61.5
Cote d'Ivoire | CIV | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.9000015258789 | 42.0999984741211 | 43 | 43.7999992370605 | 44.9000015258789 | 45.5 | 46.2000007629395 | 46.7999992370605 | 47 | 47.2999992370605 | 47.5999984741211 | 47.9000015258789 | 48.2000007629395 | 48.5999984741211 | 48.9000015258789 | 49.2000007629395 | 49.5 | 49.7000007629395 | 50 | 50.2000007629395 | 50.2999992370605 | 50.5
Latin America and the Caribbean (IFC classification) | CLA | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Middle East and North Africa (IFC classification) | CME | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Cameroon | CMR | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 52.7000007629395 | 53.7000007629395 | 54.5999984741211 | 55.5 | 57.7999992370605 | 55.4000015258789 | 55.7999992370605 | 56.0999984741211 | 56.5 | 57.2999992370605 | 56.4000015258789 | 57.9000015258789 | 57.9000015258789 | 58.7999992370605 | 59.0999984741211 | 59.7000007629395 | 59.7000007629395 | 59.5999984741211 | 59.7000007629395 | 60.5999984741211 | 60.7999992370605 | 61
Congo, Rep. | COG | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 55.5 | 56 | 56.4000015258789 | 56.9000015258789 | 57.7000007629395 | 58.0999984741211 | 58.5 | 59.0999984741211 | 59.5 | 60.2000007629395 | 60.5999984741211 | 61.0999984741211 | 61.5 | 62.0999984741211 | 62.5999984741211 | 62.7000007629395 | 62.7000007629395 | 63 | 63.2999992370605 | 63.4000015258789 | 63.2999992370605 | 63.4000015258789
Colombia | COL | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 25.5 | 26.7000007629395 | 26.2999992370605 | 28.2000007629395 | 30.2999992370605 | 31.2000007629395 | 33.9000015258789 | 35.4000015258789 | 36.7999992370605 | 38.0999984741211 | 41.2000007629395 | 43.2999992370605 | 47.2999992370605 | 45.4000015258789 | 45.0999984741211 | 44.5999984741211 | 43.2000007629395 | 42.2000007629395 | 45.9000015258789 | 47 | 47.7000007629395 | 48.0999984741211
Comoros | COM | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 25.2000007629395 | 25.7000007629395 | 26 | 26.1000003814697 | 26.6000003814697 | 26.7999992370605 | 27.1000003814697 | 27.3999996185303 | 27.7000007629395 | 28 | 28.3999996185303 | 28.7999992370605 | 29.1000003814697 | 29.5 | 29.8999996185303 | 30.2999992370605 | 30.7000007629395 | 31.1000003814697 | 31.6000003814697 | 32 | 32.2000007629395 | 32.4000015258789
Cabo Verde | CPV | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 38.5999984741211 | 39.0999984741211 | 39.5999984741211 | 40 | 40.4000015258789 | 40.7000007629395 | 41.0999984741211 | 41.5 | 41.9000015258789 | 42.2000007629395 | 42.5 | 42.9000015258789 | 43.2999992370605 | 43.7000007629395 | 44.0999984741211 | 44.5999984741211 | 45 | 45.4000015258789 | 45.7999992370605 | 46.2999992370605 | 46.7000007629395 | 47.0999984741211
Costa Rica | CRI | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 30.8999996185303 | 31.1000003814697 | 32 | 32.7000007629395 | 33.2999992370605 | 31.1000003814697 | 34.2999992370605 | 36 | 35.7000007629395 | 34.5 | 38.9000015258789 | 38.5999984741211 | 38.2000007629395 | 36.7999992370605 | 39.7000007629395 | 40 | 41.9000015258789 | 42.0999984741211 | 40.9000015258789 | 41.5999984741211 | 41.4000015258789 | 41.5
South Asia (IFC classification) | CSA | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Caribbean small states | CSS | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 42.44739055518824 | 42.56601160391777 | 42.26438467044062 | 42.89911532386019 | 42.45031124909542 | 42.29323312528567 | 41.89167649511131 | 41.87760881376 | 41.52012728722325 | 42.28531677190628 | 42.18893289273915 | 42.40195980987754 | 43.36769384833711 | 44.47054924143733 | 45.4755042701543 | 46.3371774242669 | 46.92752640559917 | 46.96836927090074 | 45.84951887157563 | 45.42973215615748 | 45.29970724213663 | 45.37304261619234
Cuba | CUB | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 34.2999992370605 | 34.2000007629395 | 34.5 | 35.0999984741211 | 33.2999992370605 | 33.7999992370605 | 34.2000007629395 | 34.7999992370605 | 34.7999992370605 | 35.2999992370605 | 36 | 36.4000015258789 | 36.9000015258789 | 37.0999984741211 | 37.7999992370605 | 38.5999984741211 | 40.4000015258789 | 40.7000007629395 | 42 | 41.7999992370605 | 42 | 42.0999984741211
[NAME] | CUW | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Cayman Islands | CYM | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Cyprus | CYP | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 38.2999992370605 | 40.5 | 38.7000007629395 | 40.7000007629395 | 39.7000007629395 | 40.5999984741211 | 41.7999992370605 | 40.2999992370605 | 40.7000007629395 | 46 | 49.2000007629395 | 50.7000007629395 | 51.7000007629395 | 51.2999992370605 | 50.2000007629395 | 51.5 | 52.7999992370605 | 53.2000007629395 | 53.2000007629395 | 53.5 | 52.0999984741211 | 49.7000007629395
Czech Republic | CZE | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 51.0999984741211 | 50.2999992370605 | 49.5 | 49.7999992370605 | 49.7000007629395 | 49.2999992370605 | 48.5999984741211 | 47.5999984741211 | 46.7000007629395 | 46.2000007629395 | 46.2999992370605 | 46.5 | 45.9000015258789 | 45.5999984741211 | 45.7000007629395 | 46 | 46.4000015258789 | 46.5 | 45.5999984741211 | 45 | 45.5 | 46
Germany | DEU | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 44.5999984741211 | 43.7000007629395 | 43.0999984741211 | 42.7000007629395 | 43.2000007629395 | 43.4000015258789 | 43.2999992370605 | 44.0999984741211 | 44.7999992370605 | 45.2000007629395 | 45.5 | 45.5 | 45.2000007629395 | 45.2000007629395 | 45.0999984741211 | 46.2000007629395 | 47.4000015258789 | 48.0999984741211 | 48.5999984741211 | 49.2999992370605 | 50.5 | 50.7999992370605
Djibouti | DJI | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Dominica | DMA | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Denmark | DNK | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 55.5999984741211 | 55.9000015258789 | 54.7000007629395 | 52.5999984741211 | 52.9000015258789 | 53.2999992370605 | 54.9000015258789 | 55.5999984741211 | 56.5 | 57 | 56.9000015258789 | 56.9000015258789 | 56.0999984741211 | 57 | 57.2999992370605 | 58.4000015258789 | 58.2999992370605 | 58.7999992370605 | 57.4000015258789 | 55.9000015258789 | 55.2000007629395 | 54.7000007629395
Dominican Republic | DOM | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 29.3999996185303 | 28.2999992370605 | 29.2000007629395 | 32.5999984741211 | 33.2999992370605 | 32.7000007629395 | 33.7000007629395 | 34.9000015258789 | 35.7000007629395 | 35.5 | 36.5 | 38.5999984741211 | 35.0999984741211 | 34.2000007629395 | 35 | 36.7999992370605 | 37.4000015258789 | 39.2000007629395 | 39.0999984741211 | 41.5999984741211 | 41.4000015258789 | 41.4000015258789
Algeria | DZA | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.40000009536743 | 6.09999990463257 | 6.19999980926514 | 6.19999980926514 | 5.59999990463257 | 5.5 | 6.40000009536743 | 6.40000009536743 | 6.40000009536743 | 5.5 | 6.09999990463257 | 6.69999980926514 | 7.5 | 9.80000019073486 | 9.60000038146973 | 10.5 | 10.5 | 11.3999996185303 | 11.8000001907349 | 11.8000001907349 | 12 | 12.3000001907349
East Asia & Pacific (developing only) | EAP | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 66.0544126677039 | 66.23075656905459 | 66.04594813955565 | 65.93040643985941 | 65.89411264051826 | 65.75177776246923 | 65.3623209794788 | 64.94717465286227 | 64.8052661622795 | 64.55222478349056 | 63.86189534959199 | 63.22880520467416 | 62.58977155671508 | 61.99646568149119 | 61.55567087422601 | 61.20567570410714 | 61.04787328500625 | 60.49768039937629 | 60.16463224613354 | 59.84165117596614 | 60.00002266709528 | 60.07458844239083
East Asia & Pacific (all income levels) | EAS | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 63.8162285462896 | 63.97713437984563 | 63.76154809190895 | 63.69052729751683 | 63.6861587422442 | 63.59294084067501 | 63.31653990930204 | 62.82508801147854 | 62.68702798990297 | 62.5241776315323 | 61.93767313252841 | 61.36643861422882 | 60.81367102304922 | 60.33538011139684 | 60.00830482922932 | 59.75167663506987 | 59.64548005046143 | 59.16053882325695 | 58.82323493678629 | 58.60104060227228 | 58.68595164707812 | 58.76836201335755
Europe & Central Asia (developing only) | ECA | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 44.89997841018997 | 44.36538324012487 | 42.57880159190606 | 43.68293988181469 | 43.49600336226974 | 43.2479464845802 | 42.63516891549307 | 42.26876495120642 | 42.21541297938133 | 41.3171616041996 | 41.21069540349544 | 40.85455393058697 | 40.47317091752686 | 39.65921165989014 | 39.56654785966573 | 39.74792753313409 | 39.94031219621606 | 40.213390463816 | 39.9998539188889 | 40.39777208701165 | 40.90772228891053 | 41.27479016891401
Europe & Central Asia (all income levels) | ECS | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 44.30240850617494 | 44.3581155601205 | 43.13611896996974 | 42.71986916939316 | 42.65887248229814 | 42.62228016684796 | 42.20965737680511 | 42.11745527614492 | 43.06471908093083 | 43.35707216906078 | 43.54316913931174 | 43.85645028122526 | 44.0909702241303 | 44.16408342451985 | 44.49945392742582 | 45.0362972819736 | 45.70394721417247 | 46.03264036522305 | 45.53415437889581 | 45.52209349666791 | 45.86354963159249 | 46.02123322601991
Ecuador | ECU | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 36.4000015258789 | 37.5999984741211 | 39.4000015258789 | 39.0999984741211 | 41.2999992370605 | 41.9000015258789 | 42.0999984741211 | 44.0999984741211 | 45 | 45.0999984741211 | 50.2999992370605 | 49 | 47.2999992370605 | 52.5 | 50.5999984741211 | 52 | 50.5999984741211 | 48.5999984741211 | 48.4000015258789 | 50.2000007629395 | 51.0999984741211 | 51.2000007629395
Egypt, Arab Rep. | EGY | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 16.7000007629395 | 17.3999996185303 | 15.6999998092651 | 16.2000007629395 | 15.1000003814697 | 15.6000003814697 | 15.1999998092651 | 14.6999998092651 | 15.3000001907349 | 15 | 15 | 13.6000003814697 | 14 | 14.3999996185303 | 14.6999998092651 | 15.3000001907349 | 18.1000003814697 | 18 | 17.6000003814697 | 18.1000003814697 | 17 | 17.2000007629395
Euro area | EMU | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 38.02906834938662 | 37.65059331724746 | 37.17676206542581 | 36.96296024245773 | 37.29487859140579 | 37.62290561588658 | 37.85146785471509 | 38.48975264573433 | 39.34236129774991 | 40.20950049497729 | 40.87819541367989 | 41.30813807830975 | 41.84466950735382 | 42.2705231427298 | 42.77899465431322 | 43.60653949496331 | 44.48510885514702 | 44.9985274730211 | 44.56280320154961 | 44.39358296042582 | 44.57046462323893 | 44.3347346188571
Eritrea | ERI | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 69.0999984741211 | 68.9000015258789 | 68.1999969482422 | 67 | 66.0999984741211 | 66 | 66 | 66.1999969482422 | 66.9000015258789 | 67.9000015258789 | 69 | 69.5 | 70.0999984741211 | 70.8000030517578 | 71.3000030517578 | 71.5999984741211 | 72 | 72.1999969482422 | 72.8000030517578 | 72.9000015258789 | 73.3000030517578 | 73.4000015258789
Spain | ESP | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 25.7999992370605 | 25.7000007629395 | 24.8999996185303 | 24.7000007629395 | 25.3999996185303 | 26.2000007629395 | 27.2000007629395 | 28.1000003814697 | 30.1000003814697 | 32.2000007629395 | 33.5999984741211 | 34.5 | 36 | 37.7999992370605 | 40.0999984741211 | 41.7000007629395 | 42.9000015258789 | 43 | 41.2999992370605 | 40.7999992370605 | 40.5 | 39.2000007629395
Estonia | EST | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 60.5 | 57.5999984741211 | 54.2999992370605 | 52 | 49.0999984741211 | 49.0999984741211 | 49 | 48.4000015258789 | 46.7999992370605 | 45.7999992370605 | 45.0999984741211 | 46.4000015258789 | 46.7000007629395 | 48.0999984741211 | 49.5999984741211 | 51.9000015258789 | 52.2999992370605 | 52.2999992370605 | 49.7000007629395 | 48.2000007629395 | 50.4000015258789 | 50.7999992370605
Ethiopia | ETH | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 63.9000015258789 | 64.3000030517578 | 64.6999969482422 | 64.0999984741211 | 62.5999984741211 | 62.0999984741211 | 62 | 62.2000007629395 | 62.0999984741211 | 63.5999984741211 | 65 | 66.9000015258789 | 68.5999984741211 | 70.3000030517578 | 71.8000030517578 | 71.8000030517578 | 71.8000030517578 | 71.6999969482422 | 71.6999969482422 | 71.5999984741211 | 71.5999984741211 | 71.5999984741211
European Union | EUU | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.66481027663828 | 41.2315250263875 | 40.62002666079731 | 40.407645124948 | 40.65931950971374 | 41.0366759865113 | 41.32286045262776 | 41.7612684725377 | 42.31251111055985 | 42.71351693314859 | 43.06768666921231 | 43.02193167604243 | 43.40006669931576 | 43.6923981454044 | 44.0149202572529 | 44.78696248719316 | 45.54557155518689 | 46.06301758965191 | 45.57982359792687 | 45.37949231871482 | 45.48325810306952 | 45.41429232008687
Fragile and conflict affected situations | FCS | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46.01016591005993 | 45.95194771380398 | 46.05867603335793 | 46.08351238067728 | 46.20391178020648 | 46.12676218394799 | 46.07922127682055 | 46.12728159750182 | 46.360064662891 | 46.48146772106832 | 46.58490049700237 | 46.8310650783533 | 46.94089955545925 | 47.07713000241752 | 47.27450248804824 | 47.24156117977736 | 47.29932954570202 | 47.37623040925292 | 47.46220394545141 | 47.53872044405698 | 47.57624327288775 | 47.56300912261378
Finland | FIN | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 54.5999984741211 | 50.7999992370605 | 47.4000015258789 | 46.5 | 46.7000007629395 | 46.9000015258789 | 47.5 | 48.2000007629395 | 50.0999984741211 | 50.5999984741211 | 51.2999992370605 | 51.9000015258789 | 51.4000015258789 | 51.2000007629395 | 51.9000015258789 | 52.7000007629395 | 53.4000015258789 | 53.7000007629395 | 52.7999992370605 | 51.7999992370605 | 52 | 52.0999984741211
Fiji | FJI | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 28.1000003814697 | 29.7999992370605 | 31.2000007629395 | 32.9000015258789 | 34.7000007629395 | 36.2999992370605 | 35.5 | 34.4000015258789 | 34.4000015258789 | 34.4000015258789 | 35.0999984741211 | 35.2999992370605 | 33.7000007629395 | 35.7000007629395 | 35.5999984741211 | 34.5 | 33 | 32.7999992370605 | 32.9000015258789 | 32.9000015258789 | 33 | 33
France | FRA | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 40.9000015258789 | 40.7000007629395 | 40.9000015258789 | 40.5 | 41.0999984741211 | 41.2000007629395 | 40.9000015258789 | 41.2999992370605 | 41.7000007629395 | 42.5 | 43 | 43.5 | 44.9000015258789 | 44.4000015258789 | 45 | 45.0999984741211 | 46 | 46.5 | 46.0999984741211 | 45.9000015258789 | 45.9000015258789 | 45.7999992370605
Faeroe Islands | FRO | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Micronesia, Fed. [NAME]. | FSM | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Gabon | GAB | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.7000007629395 | 44.9000015258789 | 46.7999992370605 | 45.7000007629395 | 44.5 | 43.4000015258789 | 42.2999992370605 | 42.4000015258789 | 42.5 | 42.5999984741211 | 42.7000007629395 | 42.9000015258789 | 43 | 43.2000007629395 | 43.4000015258789 | 43.7000007629395 | 44 | 42.7000007629395 | 41.2000007629395 | 40.2000007629395 | 40.4000015258789 | 41.2999992370605
United Kingdom | GBR | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 48.5999984741211 | 48.2999992370605 | 48.2000007629395 | 48.4000015258789 | 48.7000007629395 | 49.4000015258789 | 50 | 50.2999992370605 | 51 | 51.4000015258789 | 51.7000007629395 | 52 | 52.2000007629395 | 52.4000015258789 | 52.5999984741211 | 52.7000007629395 | 52.4000015258789 | 52.7999992370605 | 51.9000015258789 | 51.7000007629395 | 51.5 | 51.5999984741211
Georgia | GEO | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 49.5999984741211 | 51.9000015258789 | 52.4000015258789 | 52.0999984741211 | 51.2000007629395 | 51.5999984741211 | 51.2999992370605 | 51.0999984741211 | 50.7000007629395 | 49 | 51.5 | 49.2000007629395 | 50.2999992370605 | 49.2000007629395 | 48.4000015258789 | 48.7999992370605 | 48.2999992370605 | 46.4000015258789 | 46.7999992370605 | 47.2000007629395 | 48.0999984741211 | 48.4000015258789
Ghana | GHA | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 64 | 66 | 63.0999984741211 | 66.4000015258789 | 68.5999984741211 | 64.0999984741211 | 66.5 | 66.5 | 64.5 | 65 | 64.1999969482422 | 63.2999992370605 | 64.1999969482422 | 63.9000015258789 | 65 | 64.0999984741211 | 64.0999984741211 | 64.1999969482422 | 64.3000030517578 | 64.5 | 64.6999969482422 | 64.6999969482422
Guinea | GIN | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 62.5999984741211 | 62.5999984741211 | 62.4000015258789 | 62.2999992370605 | 62.2000007629395 | 62 | 61.7999992370605 | 61.7000007629395 | 61.5 | 61.7000007629395 | 61.7999992370605 | 61.9000015258789 | 61.7000007629395 | 62 | 62.0999984741211 | 62.2999992370605 | 62.7000007629395 | 62.7000007629395 | 63.2000007629395 | 63.5999984741211 | 63.7000007629395 | 63.7999992370605
Gambia, The | GMB | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 63.7000007629395 | 63.7000007629395 | 63.7999992370605 | 63.9000015258789 | 63.9000015258789 | 64.5 | 64.5999984741211 | 64.9000015258789 | 65 | 65.0999984741211 | 65.1999969482422 | 65.4000015258789 | 65.6999969482422 | 65.8000030517578 | 65.5999984741211 | 65.6999969482422 | 65.9000015258789 | 66 | 66.1999969482422 | 66.4000015258789 | 66 | 66.3000030517578
Guinea-Bissau | GNB | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 55.2000007629395 | 55.2000007629395 | 55.0999984741211 | 54.9000015258789 | 54.7999992370605 | 54.2000007629395 | 54.2000007629395 | 57.2999992370605 | 58.2999992370605 | 58.2000007629395 | 58.5999984741211 | 59.7999992370605 | 60.5999984741211 | 60.9000015258789 | 61 | 61.2999992370605 | 61.9000015258789 | 62.0999984741211 | 62.4000015258789 | 62.7000007629395 | 62.7999992370605 | 62.7000007629395
Equatorial Guinea | GNQ | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 74.0999984741211 | 75.4000015258789 | 74.8000030517578 | 75 | 75 | 76.3000030517578 | 77.8000030517578 | 75.0999984741211 | 75.0999984741211 | 74.9000015258789 | 76.0999984741211 | 74.8000030517578 | 74.5999984741211 | 75.1999969482422 | 74.3000030517578 | 74 | 74.5999984741211 | 74.4000015258789 | 73.9000015258789 | 74 | 74.3000030517578 | 74.3000030517578
Greece | GRC | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 29.6000003814697 | 30.6000003814697 | 30.3999996185303 | 31 | 31.6000003814697 | 32.0999984741211 | 32.4000015258789 | 33 | 33.2000007629395 | 33.5999984741211 | 33.5 | 33.9000015258789 | 34.7999992370605 | 35.2000007629395 | 35.7000007629395 | 36.7000007629395 | 37 | 37.5999984741211 | 37.7999992370605 | 36.9000015258789 | 34.5 | 31.7999992370605
Grenada | GRD | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Greenland | GRL | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Guatemala | GTM | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 38.9000015258789 | 38.7999992370605 | 39.5999984741211 | 39.7999992370605 | 39 | 39.5999984741211 | 39.0999984741211 | 39.5999984741211 | 40.7999992370605 | 41.2000007629395 | 41.4000015258789 | 40.5999984741211 | 40.9000015258789 | 41 | 43.2999992370605 | 45.7000007629395 | 46.2000007629395 | 46.4000015258789 | 46.5999984741211 | 46.7000007629395 | 46.5 | 46.7000007629395
Guam | GUM | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Guyana | GUY | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 25.7000007629395 | 30.6000003814697 | 29.2000007629395 | 26.7999992370605 | 24 | 25.6000003814697 | 27.2999992370605 | 28.6000003814697 | 26.7999992370605 | 31.6000003814697 | 26.5 | 27.5 | 28.2000007629395 | 27.6000003814697 | 28.8999996185303 | 26.2999992370605 | 29.7999992370605 | 28.5 | 30.1000003814697 | 31.1000003814697 | 31.3999996185303 | 31.2000007629395
High income | HIC | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46.35913949590056 | 46.51889492722412 | 45.99241698195841 | 45.79936075245475 | 45.91492165337976 | 46.06451197588169 | 46.14638722695184 | 46.0449678862698 | 46.83617977815305 | 47.34989666593909 | 47.39168151663583 | 47.46292395169633 | 47.68100066568807 | 47.92807162432989 | 48.38041110923681 | 48.91709307755636 | 49.44348940657714 | 49.55226146405772 | 48.70617655778549 | 48.55475731738355 | 48.5235634841547 | 48.65797988538802
Hong Kong SAR, China | HKG | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 47.2999992370605 | 46 | 45.4000015258789 | 46 | 46.0999984741211 | 46.5 | 46.7999992370605 | 46.2999992370605 | 46.0999984741211 | 47.0999984741211 | 48 | 48.2999992370605 | 47.9000015258789 | 48.5999984741211 | 49.4000015258789 | 50.0999984741211 | 50.7999992370605 | 51.2000007629395 | 50.7000007629395 | 50 | 50.2999992370605 | 50.2000007629395
Honduras | HND | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 31.2000007629395 | 33.5 | 33.5 | 33.5 | 33.5 | 37.7999992370605 | 38.9000015258789 | 40.2000007629395 | 44.2000007629395 | 42.5999984741211 | 40.2999992370605 | 37.0999984741211 | 36.5 | 35.7999992370605 | 37.0999984741211 | 38.5999984741211 | 39.2000007629395 | 39.5 | 39.7000007629395 | 39.4000015258789 | 39.5999984741211 | 39.9000015258789
Heavily indebted poor countries (HIPC) | HPC | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 58.46309687265883 | 58.57150455358646 | 58.57049651335966 | 58.67936231043118 | 58.69002623216907 | 58.54725121921318 | 58.82653828977514 | 59.08871615994532 | 59.27849802727668 | 59.56950107204361 | 59.72203588973394 | 60.16866615449644 | 60.46286629082022 | 60.87052029058888 | 61.33709120460616 | 61.35282400853602 | 61.68751415313995 | 61.78781647788364 | 61.85996629614165 | 62.01240477705856 | 62.0123994519086 | 62.04640520723521
Croatia | HRV | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.2999992370605 | 41 | 40.7999992370605 | 40.5 | 40.4000015258789 | 40.5 | 40.4000015258789 | 40.0999984741211 | 38.9000015258789 | 37.5999984741211 | 35.2999992370605 | 37 | 37.7000007629395 | 39 | 39.9000015258789 | 40.4000015258789 | 40.5999984741211 | 41.2999992370605 | 41.4000015258789 | 40.0999984741211 | 38.7000007629395 | 37.7000007629395
Haiti | HTI | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 48.0999984741211 | 48.0999984741211 | 48.0999984741211 | 47.9000015258789 | 49 | 48.7000007629395 | 48.7000007629395 | 48.5999984741211 | 52.2000007629395 | 52.0999984741211 | 52.0999984741211 | 52.4000015258789 | 52.7000007629395 | 52.7000007629395 | 53.4000015258789 | 53.7999992370605 | 54.2000007629395 | 54.2999992370605 | 54.7999992370605 | 54.5 | 55.5999984741211 | 55.7000007629395
Hungary | HUN | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.7000007629395 | 42.5999984741211 | 39.9000015258789 | 38.5999984741211 | 36.9000015258789 | 36.4000015258789 | 36.2000007629395 | 37.2999992370605 | 38.5 | 39.0999984741211 | 39.0999984741211 | 39.0999984741211 | 40 | 39.7000007629395 | 39.7000007629395 | 39.7000007629395 | 39.5 | 39.0999984741211 | 38.5999984741211 | 39 | 39.0999984741211 | 40
Indonesia | IDN | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46 | 47 | 47 | 47.7000007629395 | 48.5999984741211 | 48.4000015258789 | 46.5 | 46.5999984741211 | 47.4000015258789 | 47.0999984741211 | 44.7000007629395 | 43.9000015258789 | 43.4000015258789 | 43.5 | 43 | 43.7999992370605 | 45.2999992370605 | 46.2000007629395 | 46.7999992370605 | 46.7000007629395 | 47.0999984741211 | 47.2000007629395
Isle of Man | IMN | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
India | IND | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 33.5 | 33.7999992370605 | 34 | 34.2999992370605 | 34 | 33.7000007629395 | 33.2999992370605 | 33.0999984741211 | 32.7999992370605 | 32.5 | 33.0999984741211 | 33.4000015258789 | 34.2000007629395 | 34.9000015258789 | 35 | 33.4000015258789 | 32.0999984741211 | 30.3999996185303 | 29 | 27.3999996185303 | 27.5 | 27.6000003814697
Not classified | INX | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Ireland | IRL | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 30.2000007629395 | 30.7000007629395 | 31.7999992370605 | 33.2000007629395 | 34.7999992370605 | 36.2999992370605 | 37.7000007629395 | 40.7999992370605 | 43.4000015258789 | 45.2000007629395 | 45.9000015258789 | 46.9000015258789 | 47.2000007629395 | 47.7000007629395 | 49.9000015258789 | 50.7000007629395 | 51.7999992370605 | 51.5 | 49.2000007629395 | 47.9000015258789 | 47.2000007629395 | 46.9000015258789
Iran, Islamic Rep. | IRN | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.90000009536743 | 7.90000009536743 | 8.10000038146973 | 8.30000019073486 | 8.5 | 8.69999980926514 | 9.30000019073486 | 9.89999961853027 | 10.6999998092651 | 11 | 12.1000003814697 | 12.6999998092651 | 13.8000001907349 | 15.3000001907349 | 15.8000001907349 | 15.1999998092651 | 14.8000001907349 | 12.6999998092651 | 12.8999996185303 | 12.6000003814697 | 12.8000001907349 | 13.1000003814697
Iraq | IRQ | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.5 | 7.69999980926514 | 8.30000019073486 | 8.30000019073486 | 8.30000019073486 | 8.30000019073486 | 8.39999961853027 | 8.60000038146973 | 9 | 9.10000038146973 | 9.19999980926514 | 9.39999961853027 | 8.80000019073486 | 8.69999980926514 | 9.89999961853027 | 10.1000003814697 | 10.3999996185303 | 10.8999996185303 | 11 | 11.1999998092651 | 11.3000001907349 | 11.3999996185303
Iceland | ISL | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 65.9000015258789 | 65.6999969482422 | 65.5 | 65.6999969482422 | 67.0999984741211 | 66.6999969482422 | 65.6999969482422 | 67.9000015258789 | 69.1999969482422 | 69.5 | 69.9000015258789 | 68.6999969482422 | 69.0999984741211 | 67.4000015258789 | 68.9000015258789 | 69.0999984741211 | 69.8000030517578 | 68.9000015258789 | 65.9000015258789 | 65.6999969482422 | 65.5 | 66.5
Israel | ISR | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 36.2000007629395 | 36.7999992370605 | 38.2999992370605 | 40.2999992370605 | 41.7000007629395 | 42 | 41.7000007629395 | 42 | 42.9000015258789 | 43.7000007629395 | 43.7000007629395 | 43.2999992370605 | 43.5999984741211 | 44 | 45.2999992370605 | 45.9000015258789 | 47 | 48 | 48.2999992370605 | 49.2000007629395 | 49.5999984741211 | 54
Italy | ITA | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 29.8999996185303 | 29.2000007629395 | 28.5 | 28.2999992370605 | 28.1000003814697 | 28.3999996185303 | 28.3999996185303 | 28.7999992370605 | 29.3999996185303 | 30.2000007629395 | 31.2999992370605 | 31.8999996185303 | 32.5 | 34.0999984741211 | 33.9000015258789 | 34.5999984741211 | 34.7999992370605 | 35.2000007629395 | 34.5 | 34.2999992370605 | 34.5 | 34.7000007629395
Jamaica | JAM | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 51.7999992370605 | 52.2999992370605 | 52.5999984741211 | 53.2999992370605 | 51.7999992370605 | 50.0999984741211 | 48.0999984741211 | 47.2000007629395 | 46.2999992370605 | 46 | 46.2000007629395 | 46.4000015258789 | 47.5 | 48.0999984741211 | 48.7999992370605 | 50.0999984741211 | 50.5999984741211 | 50 | 48.2999992370605 | 46.7000007629395 | 46.2000007629395 | 46.2000007629395
Jordan | JOR | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.09999990463257 | 7 | 6.80000019073486 | 7.5 | 8.60000038146973 | 9.10000038146973 | 9.19999980926514 | 10.3000001907349 | 9.30000019073486 | 9.80000019073486 | 9.39999961853027 | 9.69999980926514 | 9.10000038146973 | 9.10000038146973 | 9 | 9.39999961853027 | 11.1999998092651 | 11.1000003814697 | 11.8000001907349 | 12.1000003814697 | 12.1999998092651 | 12.1000003814697
Japan | JPN | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 49.5999984741211 | 49.7000007629395 | 49 | 48.7000007629395 | 48.4000015258789 | 48.2999992370605 | 48.7000007629395 | 48.2000007629395 | 47.4000015258789 | 47.0999984741211 | 46.7999992370605 | 46.0999984741211 | 46.2000007629395 | 46.2000007629395 | 46.4000015258789 | 46.5999984741211 | 46.7000007629395 | 46.5999984741211 | 46.4000015258789 | 47.2000007629395 | 46.0999984741211 | 46.0999984741211
Kazakhstan | KAZ | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 55.4000015258789 | 53.7000007629395 | 54.7000007629395 | 56.7999992370605 | 54.2999992370605 | 53.0999984741211 | 53.5 | 53.7999992370605 | 53.9000015258789 | 54.7999992370605 | 56.9000015258789 | 58.0999984741211 | 58.0999984741211 | 57.9000015258789 | 58.2999992370605 | 59 | 60 | 61.0999984741211 | 61.5999984741211 | 62.2999992370605 | 62.9000015258789 | 63.2000007629395
Kenya | [NAME] | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 61.5 | 60.7999992370605 | 60.2000007629395 | 59.7000007629395 | 59.2000007629395 | 58.5999984741211 | 57.7999992370605 | 57.4000015258789 | 56.7000007629395 | 56.0999984741211 | 55.5999984741211 | 55 | 54.5 | 54.0999984741211 | 53.7000007629395 | 53.9000015258789 | 54.2000007629395 | 54.4000015258789 | 54.7000007629395 | 55 | 55.2999992370605 | 55.5
Kyrgyz Republic | KGZ | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 52.9000015258789 | 53 | 52.7999992370605 | 52.7999992370605 | 52.2999992370605 | 52.0999984741211 | 51.9000015258789 | 50.7000007629395 | 51.4000015258789 | 51.5 | 50.9000015258789 | 47.4000015258789 | 48.4000015258789 | 48.5999984741211 | 49.2000007629395 | 49.5999984741211 | 49.7000007629395 | 49.7000007629395 | 49.5999984741211 | 49.7000007629395 | 49.7999992370605 | 50.4000015258789
Cambodia | KHM | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 75.1999969482422 | 75.1999969482422 | 75.3000030517578 | 75.5999984741211 | 75.3000030517578 | 74.9000015258789 | 74.4000015258789 | 73.9000015258789 | 74 | 74 | 74.4000015258789 | 74 | 73.8000030517578 | 73.5999984741211 | 74.6999969482422 | 75.6999969482422 | 76.8000030517578 | 77.6999969482422 | 77.5 | 77.6999969482422 | 77.6999969482422 | 77.5999984741211
Kiribati | KIR | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
St. Kitts and Nevis | KNA | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Korea, Rep. | KOR | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46.2000007629395 | 46.0999984741211 | 46 | 47 | 47.7000007629395 | 48.4000015258789 | 49 | 44.7999992370605 | 45.5 | 47.0999984741211 | 47.7000007629395 | 48.2999992370605 | 47.2999992370605 | 48.0999984741211 | 48.4000015258789 | 48.7999992370605 | 48.9000015258789 | 48.5999984741211 | 47.5 | 47.7000007629395 | 48 | 48.4000015258789
Kosovo | KSV | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Kuwait | KWT | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 35.2000007629395 | 36.2000007629395 | 37.5999984741211 | 39.0999984741211 | 40.5 | 41.5 | 42.2999992370605 | 43 | 43.5 | 43.9000015258789 | 44.4000015258789 | 44.7000007629395 | 45.0999984741211 | 44.5 | 43.5 | 43.2999992370605 | 42.5999984741211 | 42 | 42.2999992370605 | 42.2999992370605 | 42.5 | 42.9000015258789
Latin America & Caribbean (developing only) | LAC | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 37.53982895114337 | 40.2497479373253 | 40.40054741455148 | 41.03009871761641 | 41.40169477648151 | 40.9187669170149 | 42.18310962887419 | 42.54760081177204 | 43.24780103481879 | 43.22792391592909 | 43.93119029033821 | 44.61390384380532 | 44.57893768906516 | 45.82153755671748 | 46.50021288666591 | 47.14717930452931 | 47.59878052402418 | 48.06839592851358 | 48.08031482878516 | 48.60239199015539 | 48.95911651928207 | 49.40328998341358
Lao PDR | LAO | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 78.5999984741211 | 78.5 | 78.4000015258789 | 78.3000030517578 | 78.1999969482422 | 78.5 | 78.1999969482422 | 78 | 77.8000030517578 | 77.5999984741211 | 77.3000030517578 | 77.0999984741211 | 76.6999969482422 | 76.1999969482422 | 76.5999984741211 | 76.4000015258789 | 76.1999969482422 | 75.9000015258789 | 75.6999969482422 | 75.5999984741211 | 75.5 | 75.5
Lebanon | LBN | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.8999996185303 | 15.5 | 15.8999996185303 | 16.1000003814697 | 16.5 | 16.7000007629395 | 16.8999996185303 | 17 | 17.1000003814697 | 17.2000007629395 | 17.3999996185303 | 17.5 | 17.7000007629395 | 17.8999996185303 | 18.2000007629395 | 18.5 | 18.7999992370605 | 19 | 19.2999992370605 | 19.6000003814697 | 20 | 20.3999996185303
Liberia | LBR | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 53.9000015258789 | 54.2000007629395 | 54.5 | 54.7999992370605 | 55 | 55.2000007629395 | 55.4000015258789 | 55.5999984741211 | 55.7999992370605 | 55.9000015258789 | 55.9000015258789 | 56.0999984741211 | 55.5999984741211 | 56.0999984741211 | 56.2000007629395 | 55.9000015258789 | 55.7000007629395 | 55.5999984741211 | 55.7000007629395 | 55.7000007629395 | 55.7999992370605 | 56
Libya | LBY | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 15.6999998092651 | 16.3999996185303 | 17.1000003814697 | 17.7000007629395 | 18.6000003814697 | 19.3999996185303 | 20.3999996185303 | 21.3999996185303 | 22.2999992370605 | 23.1000003814697 | 23.7999992370605 | 24.2999992370605 | 24.6000003814697 | 25 | 25.2000007629395 | 25.5 | 25.7000007629395 | 25.7999992370605 | 25.8999996185303 | 25.7999992370605 | 26.5 | 25.2999992370605
St. Lucia | LCA | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Latin America & Caribbean (all income levels) | LCN | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 37.17015160342128 | 39.81740220469201 | 40.03029190664478 | 40.64817442652429 | 40.99713517522796 | 40.54884814458344 | 41.796175190528 | 42.15073754189036 | 42.81455615200072 | 42.8032950138708 | 43.47096861367299 | 44.1188083090243 | 44.13094852269419 | 45.35296932339705 | 46.04721703582479 | 46.68929949039728 | 47.16901284858537 | 47.67461213715143 | 47.67968906999366 | 48.3012267006221 | 48.71313077112828 | 49.15610686855654
Latin America and the Caribbean | LCR | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Least developed countries: UN classification | LDC | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 60.89449363745167 | 60.71822800355179 | 60.604532862386 | 60.36453428471713 | 60.08697586018192 | 59.93479948985424 | 59.74246720831939 | 59.81058173144995 | 59.81474992866408 | 59.72732305692487 | 59.91580003932634 | 60.28311604863987 | 60.34939079935801 | 60.54677574099308 | 60.68094076164721 | 60.85277690775979 | 61.10520584624252 | 61.14824091206567 | 61.15410959847369 | 61.4009294440708 | 61.41515947620159 | 61.46692849175457
Low income | LIC | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 64.4714569016508 | 64.28268063036286 | 64.15568004175377 | 63.88268551789731 | 63.50977676657536 | 63.1656545231609 | 62.96921925879039 | 62.88878331810575 | 62.78031074002331 | 62.77173831116062 | 62.98307468259964 | 63.38187445465184 | 63.50292506387053 | 63.73904232935163 | 63.87019871210396 | 64.06597749710643 | 64.33296884266635 | 64.3704832621828 | 64.36656997885588 | 64.63232207777739 | 64.65249080934042 | 64.69680868270368
[NAME] | LIE | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
[NAME] | LKA | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 28 | 28.3999996185303 | 28.2999992370605 | 28.7999992370605 | 29.2000007629395 | 29.2999992370605 | 29.6000003814697 | 35.9000015258789 | 32.7999992370605 | 33 | 32.2000007629395 | 31.1000003814697 | 30.7999992370605 | 30.2000007629395 | 30.2999992370605 | 35.7000007629395 | 33.7000007629395 | 33.7999992370605 | 33.5 | 32.0999984741211 | 32.2000007629395 | 32.4000015258789
Lower middle income | LMC | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 36.54500553279337 | 36.9048346884237 | 36.93001097072003 | 37.30961495972852 | 37.21132804180171 | 37.07054452129022 | 36.66304008268546 | 36.6656352143448 | 36.63987976896279 | 36.36027441749649 | 36.39121484869136 | 36.43075779300766 | 36.86287435321587 | 37.29391429773861 | 37.49727110654869 | 36.92696225692954 | 36.53946960940637 | 35.79225071266277 | 35.19299093079715 | 34.51357283791953 | 34.65564413941674 | 34.77364956774528
Low & middle income | LMY | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 49.47662152921212 | 49.84213934389724 | 49.64816747882116 | 49.8074955429274 | 49.65651493877319 | 49.41447480320745 | 49.25983098007327 | 49.09492163027492 | 49.0177499743807 | 48.78575042734329 | 48.71290023957736 | 48.59090471948661 | 48.52651123866563 | 48.61229966376193 | 48.5799724588523 | 48.27270607021397 | 48.04036817159519 | 47.49423614186745 | 47.05227225532845 | 46.69270305717741 | 46.81481171787957 | 46.9333677382559
[NAME] | LSO | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 38.5 | 36.7999992370605 | 35.2999992370605 | 36.0999984741211 | 40.5999984741211 | 43.7000007629395 | 35.4000015258789 | 40.5 | 46 | 36.9000015258789 | 36.5999984741211 | 39 | 33.7999992370605 | 35.2000007629395 | 34.0999984741211 | 36.2999992370605 | 40 | 42.2000007629395 | 42.0999984741211 | 43.0999984741211 | 42.7999992370605 | 41.2999992370605
Lithuania | LTU | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 50.5999984741211 | 52.0999984741211 | 49.5 | 47.5 | 47 | 47 | 46.2999992370605 | 47 | 48.4000015258789 | 47.4000015258789 | 45.7999992370605 | 45.5999984741211 | 47.9000015258789 | 45.7999992370605 | 46.7999992370605 | 48.2000007629395 | 49 | 48.7999992370605 | 48 | 46.5 | 47.9000015258789 | 49.4000015258789
Luxembourg | LUX | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 35.2000007629395 | 37.0999984741211 | 35.9000015258789 | 36.0999984741211 | 33.7000007629395 | 34.7000007629395 | 36.0999984741211 | 36.2000007629395 | 38.4000015258789 | 40.0999984741211 | 40.2000007629395 | 40.7999992370605 | 40.4000015258789 | 41.0999984741211 | 42.7000007629395 | 43.9000015258789 | 44.7999992370605 | 44.2999992370605 | 45.9000015258789 | 46.4000015258789 | 46.2999992370605 | 47.7000007629395
Latvia | LVA | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 53.7000007629395 | 52.2999992370605 | 50.7000007629395 | 47 | 47.2000007629395 | 45.5999984741211 | 44.2999992370605 | 44.5999984741211 | 43.0999984741211 | 42.4000015258789 | 44.4000015258789 | 45.7999992370605 | 45.5999984741211 | 45.4000015258789 | 46.5 | 49.0999984741211 | 50.7000007629395 | 51.2999992370605 | 47.2000007629395 | 45.2999992370605 | 46 | 47
Macao SAR, China | MAC | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 43.7999992370605 | 45.2000007629395 | 46 | 46.4000015258789 | 46.9000015258789 | 53.5999984741211 | 53.9000015258789 | 53.5 | 53.0999984741211 | 53.2000007629395 | 55 | 54.4000015258789 | 52.7999992370605 | 54.7000007629395 | 56.5999984741211 | 58.5 | 62.2999992370605 | 63.2000007629395 | 64 | 64.3000030517578 | 64.4000015258789 | 64.8000030517578
St. Martin (French part) | MAF | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Morocco | MAR | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 23.1000003814697 | 23.2999992370605 | 23.5 | 24.1000003814697 | 24.2999992370605 | 25 | 25.5 | 26.2000007629395 | 26.2000007629395 | 25.2000007629395 | 22.1000003814697 | 21.6000003814697 | 23.6000003814697 | 25.1000003814697 | 24.7000007629395 | 24.6000003814697 | 24.7999992370605 | 24 | 23.2999992370605 | 23.3999996185303 | 23.5 | 23.7000007629395
Mexico and Central America | MCA | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Monaco | MCO | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Moldova | MDA | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 56.7999992370605 | 56.9000015258789 | 56.7999992370605 | 56.2000007629395 | 55.5999984741211 | 55.2000007629395 | 54.0999984741211 | 54.7000007629395 | 51.5999984741211 | 52 | 50.7999992370605 | 51.0999984741211 | 45.2000007629395 | 44.0999984741211 | 44.0999984741211 | 39.5 | 39.7000007629395 | 39.4000015258789 | 36.5 | 35.4000015258789 | 36 | 35.4000015258789
Madagascar | MDG | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 80.4000015258789 | 80.1999969482422 | 80.5 | 80 | 80.5 | 80.6999969482422 | 81 | 81.0999984741211 | 81.0999984741211 | 81.0999984741211 | 79.8000030517578 | 79.5999984741211 | 79 | 80.0999984741211 | 81.1999969482422 | 81.3000030517578 | 81.1999969482422 | 81.5999984741211 | 82.4000015258789 | 83.0999984741211 | 82.9000015258789 | 82.8000030517578
Maldives | MDV | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 17.2999992370605 | 18.6000003814697 | 20 | 21.6000003814697 | 23 | 24.2999992370605 | 25.6000003814697 | 27.2000007629395 | 28.8999996185303 | 30.2999992370605 | 31.8999996185303 | 33.5999984741211 | 35.2999992370605 | 37.5999984741211 | 39.0999984741211 | 40.4000015258789 | 42.5999984741211 | 42.9000015258789 | 43.9000015258789 | 44.9000015258789 | 45.4000015258789 | 45.9000015258789
Middle East & North Africa (all income levels) | MEA | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.77735188496201 | 13.85014253248896 | 13.77370732304198 | 14.21941171792619 | 14.27063780341106 | 14.39007023337515 | 14.6692635624076 | 14.83216740195803 | 15.35566815963217 | 15.06265182547663 | 15.03406032130978 | 14.88835467779462 | 15.48658025325904 | 16.24670934065107 | 16.56829710852375 | 16.69646878166435 | 17.36222217904072 | 16.9957440595573 | 16.94730277912455 | 17.03700524334727 | 17.00281238887429 | 17.23251628244775
Mexico | MEX | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 32.5999984741211 | 33.5999984741211 | 34.5999984741211 | 34.9000015258789 | 34.5999984741211 | 35.2999992370605 | 37.5 | 37.7000007629395 | 37.4000015258789 | 37.7999992370605 | 37.0999984741211 | 37.7999992370605 | 37.2000007629395 | 38.9000015258789 | 39.7000007629395 | 40.7999992370605 | 41.2999992370605 | 41.7999992370605 | 40.7000007629395 | 41.5999984741211 | 41 | 42.7999992370605
Marshall Islands | MHL | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Middle income | MIC | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 47.65467333951902 | 48.07263440638894 | 47.85492096561838 | 48.05290600167496 | 47.91586856039979 | 47.67417374142959 | 47.51348203362426 | 47.32724954948976 | 47.24418950675762 | 46.97376236030559 | 46.85431415395691 | 46.65482432036145 | 46.55622364132056 | 46.61125711617363 | 46.54463357418105 | 46.15541721167673 | 45.83847173604902 | 45.19303393722869 | 44.66801182670034 | 44.19524054870264 | 44.30161457617918 | 44.39770541449776
Macedonia, FYR | MKD | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 29.1000003814697 | 29.2000007629395 | 29.2999992370605 | 29 | 28.6000003814697 | 27.2000007629395 | 26.6000003814697 | 25.7999992370605 | 27.3999996185303 | 26.8999996185303 | 28.2999992370605 | 28.2999992370605 | 27.1000003814697 | 25 | 26 | 26.2999992370605 | 27.7000007629395 | 28 | 28.5 | 29 | 30 | 29.8999996185303
[NAME] | MLI | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 32.7000007629395 | 32.0999984741211 | 32.5 | 32.7000007629395 | 32.5 | 32.5999984741211 | 32.5999984741211 | 32.2999992370605 | 32.2999992370605 | 32.2999992370605 | 31.7999992370605 | 31.7000007629395 | 31.5 | 31.5 | 33.5999984741211 | 35.7999992370605 | 37.7999992370605 | 40 | 42.0999984741211 | 44.5999984741211 | 44.7999992370605 | 44.9000015258789
Malta | MLT | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 25.7000007629395 | 25.7000007629395 | 25.6000003814697 | 25.3999996185303 | 25.3999996185303 | 25.8999996185303 | 26.2000007629395 | 26.8999996185303 | 27.3999996185303 | 28.3999996185303 | 27.7000007629395 | 28.7000007629395 | 27.6000003814697 | 26.2000007629395 | 27.7000007629395 | 27.7999992370605 | 29.7999992370605 | 31.1000003814697 | 31.1000003814697 | 32.2000007629395 | 33 | 35.2000007629395
Myanmar | MMR | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 68.5999984741211 | 68.6999969482422 | 68.8000030517578 | 69 | 69.0999984741211 | 69.1999969482422 | 69.1999969482422 | 69.0999984741211 | 69.6999969482422 | 70 | 70.0999984741211 | 70.4000015258789 | 70.6999969482422 | 70.9000015258789 | 71.0999984741211 | 71.3000030517578 | 71.5 | 71.3000030517578 | 71.5999984741211 | 71.6999969482422 | 71.6999969482422 | 71.8000030517578
Middle East & North Africa (developing only) | MNA | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.94937483254141 | 13.21815061277552 | 13.03926741639153 | 13.35613385045814 | 13.19062751758073 | 13.40510228664588 | 13.68063882130285 | 13.81954665182021 | 14.23095562661469 | 13.90832443712596 | 13.87981573867516 | 13.75033937878414 | 14.43279736269123 | 15.29040217265971 | 15.4341144110057 | 15.51721560382109 | 16.17056926495066 | 15.69570300678694 | 15.5988058381027 | 15.61249584697338 | 15.49092363891647 | 15.6716385088512
Montenegro | MNE | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 35.9000015258789 | 35.7000007629395 | 35.2999992370605 | 34.7999992370605 | 30.6000003814697 | 30.1000003814697 | 34.2999992370605 | 34.0999984741211 | 34.0999984741211 | 29.5 | 34.2000007629395 | 34.0999984741211 | 34 | 29.7999992370605 | 29.2000007629395 | 32.0999984741211 | 35 | 36.2000007629395 | 34.7999992370605 | 34.0999984741211 | 33.7999992370605 | 34.2000007629395
Mongolia | MNG | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 50 | 50.7000007629395 | 50.7999992370605 | 50.7000007629395 | 50.7999992370605 | 51.0999984741211 | 51.2999992370605 | 51.5 | 51.7000007629395 | 51.9000015258789 | 51.9000015258789 | 51.7999992370605 | 52 | 51.4000015258789 | 51.7000007629395 | 51.9000015258789 | 51.5999984741211 | 51 | 52.0999984741211 | 51.7999992370605 | 53.0999984741211 | 53.4000015258789
Northern Mariana Islands | MNP | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Mozambique | MOZ | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 78.5 | 78.5 | 79.3000030517578 | 79.4000015258789 | 79.5 | 80.0999984741211 | 80 | 80.4000015258789 | 80.5999984741211 | 80.5999984741211 | 81.0999984741211 | 81.0999984741211 | 81 | 80.8000030517578 | 80.5999984741211 | 80.4000015258789 | 80.1999969482422 | 79.9000015258789 | 79.6999969482422 | 79.5 | 79.3000030517578 | 79.0999984741211
Mauritania | MRT | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.5 | 13.8000001907349 | 14 | 14.5 | 14.6000003814697 | 14.6999998092651 | 15.3999996185303 | 16 | 16.2000007629395 | 16.7000007629395 | 17.2000007629395 | 17.7999992370605 | 18.2999992370605 | 18.3999996185303 | 18.7999992370605 | 18 | 19.2999992370605 | 19.7000007629395 | 20.5 | 20.7999992370605 | 20.8999996185303 | 21
[NAME] | MUS | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 31.6000003814697 | 32 | 32.5999984741211 | 33.2000007629395 | 33.9000015258789 | 34.2999992370605 | 34.5999984741211 | 34.9000015258789 | 35.2000007629395 | 35.7999992370605 | 36.4000015258789 | 35.7999992370605 | 35 | 34.2999992370605 | 34.2999992370605 | 35 | 34.7999992370605 | 36.2000007629395 | 36.7000007629395 | 37.7999992370605 | 38 | 38.0999984741211
[NAME] | MWI | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 69.5999984741211 | 68.9000015258789 | 69.5 | 68.5999984741211 | 69.5 | 69.5 | 69.4000015258789 | 69.4000015258789 | 70 | 70.3000030517578 | 70.5 | 71 | 71.5 | 71.8000030517578 | 72 | 74.5999984741211 | 76.1999969482422 | 78.1999969482422 | 77.9000015258789 | 77.5999984741211 | 77.4000015258789 | 77.1999969482422
Malaysia | MYS | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.5 | 41.2000007629395 | 40.9000015258789 | 41 | 41.2000007629395 | 41.4000015258789 | 41.2999992370605 | 40.9000015258789 | 41.2000007629395 | 43.2000007629395 | 42.7999992370605 | 42.7000007629395 | 42.5999984741211 | 42.7000007629395 | 42.5999984741211 | 42.7000007629395 | 42.7999992370605 | 42.7000007629395 | 42.5 | 42.5 | 42.7999992370605 | 42.9000015258789
North America | NAC | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 52.4800694743148 | 52.39030100183945 | 52.71048787440717 | 53.8207658241711 | 54.21110003414942 | 54.65082807276507 | 55.33055392373392 | 55.71059401829754 | 56.16069358931198 | 56.41057440700187 | 55.98013169017561 | 55.35000878724871 | 55.27048932189914 | 55.20100351441111 | 55.46112865440325 | 55.88127018568036 | 55.97235553490907 | 55.6337201243767 | 53.91600062481857 | 53.08845573413409 | 52.63030985397946 | 52.82192420417034
Namibia | NAM | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 38.0999984741211 | 38.2999992370605 | 38.7000007629395 | 39.0999984741211 | 38.5999984741211 | 38.0999984741211 | 37.7999992370605 | 38.0999984741211 | 38.2999992370605 | 38.2999992370605 | 38.5 | 41.2999992370605 | 41.7000007629395 | 41 | 43.5999984741211 | 42.9000015258789 | 45.2000007629395 | 33.2999992370605 | 38.4000015258789 | 43.0999984741211 | 43.4000015258789 | 44.0999984741211
New Caledonia | NCL | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
[NAME] | NER | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 24.7000007629395 | 25.7999992370605 | 27.1000003814697 | 28.2999992370605 | 29.5 | 30.8999996185303 | 32.2000007629395 | 33.5999984741211 | 34.9000015258789 | 36.2999992370605 | 37.7999992370605 | 37.7000007629395 | 37.7000007629395 | 37.5999984741211 | 37.5999984741211 | 37.7000007629395 | 37.7999992370605 | 37.9000015258789 | 38 | 38.2000007629395 | 38.2000007629395 | 38.4000015258789
Nigeria | NGA | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 36.7000007629395 | 37.2000007629395 | 37.7000007629395 | 38.2000007629395 | 38.7000007629395 | 39.2000007629395 | 39.7999992370605 | 40.2999992370605 | 40.9000015258789 | 41.5 | 42.0999984741211 | 42.9000015258789 | 43.4000015258789 | 44 | 44 | 44.0999984741211 | 44.2000007629395 | 44.2000007629395 | 44.2999992370605 | 44.4000015258789 | 44.5 | 44.5999984741211
Nicaragua | NIC | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 33.2000007629395 | 32.9000015258789 | 32.5999984741211 | 32.7999992370605 | 32.4000015258789 | 33.0999984741211 | 33.9000015258789 | 34.2999992370605 | 35.5999984741211 | 36.7999992370605 | 37.7000007629395 | 38.5999984741211 | 38 | 39.5 | 41 | 42.2999992370605 | 42.9000015258789 | 42.7000007629395 | 43 | 42.7999992370605 | 43.2999992370605 | 43.7000007629395
Netherlands | NLD | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 39.4000015258789 | 41.5999984741211 | 42.0999984741211 | 43 | 43.2999992370605 | 44.5 | 46.2999992370605 | 47.7000007629395 | 49.7000007629395 | 51.5 | 52.9000015258789 | 53.4000015258789 | 53.5999984741211 | 53.4000015258789 | 53.9000015258789 | 54.7999992370605 | 56.4000015258789 | 57.5 | 57.7000007629395 | 55.5999984741211 | 55.7000007629395 | 55.7000007629395
High income: nonOECD | NOC | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 47.91569318969992 | 50.07234870951471 | 48.06315029526467 | 45.55121191132326 | 44.87547511196217 | 44.17137940357404 | 42.62392348188752 | 41.40829656569247 | 44.18585518671871 | 45.24643942727064 | 45.10357323762062 | 46.15563097430725 | 46.69503438932892 | 47.20606252702766 | 48.00470935808509 | 48.40705319307301 | 49.23223881753488 | 48.97332989970083 | 48.03353299370809 | 47.91698670248326 | 48.51978799149531 | 48.9143881024463
Norway | NOR | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 52.2999992370605 | 51.9000015258789 | 51.9000015258789 | 52.5999984741211 | 53.5 | 54.7999992370605 | 56.5 | 57.7000007629395 | 58.2000007629395 | 58.2999992370605 | 58.4000015258789 | 58.5999984741211 | 58.0999984741211 | 58.0999984741211 | 57.7000007629395 | 58.4000015258789 | 60.0999984741211 | 61.2999992370605 | 60.5 | 59.5999984741211 | 59.5999984741211 | 59.7999992370605
Nepal | NPL | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 78.4000015258789 | 78.5 | 78.4000015258789 | 78.3000030517578 | 78.3000030517578 | 77.1999969482422 | 78.1999969482422 | 79.1999969482422 | 80.5999984741211 | 79.6999969482422 | 78.6999969482422 | 79.1999969482422 | 79.4000015258789 | 79.1999969482422 | 78.5999984741211 | 78.3000030517578 | 78.1999969482422 | 77.9000015258789 | 77.9000015258789 | 78 | 78 | 78
New Zealand | NZL | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 48.4000015258789 | 48.2000007629395 | 48.5999984741211 | 50.2000007629395 | 51.5999984741211 | 52.9000015258789 | 52.5 | 52 | 52.7999992370605 | 53.4000015258789 | 54.5999984741211 | 55.2999992370605 | 55.7999992370605 | 56.5 | 57.7999992370605 | 58.2999992370605 | 58.7999992370605 | 59 | 57.9000015258789 | 57.2999992370605 | 57.7000007629395 | 57.5999984741211
High income: OECD | OEC | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46.03342037126545 | 45.78321438746615 | 45.56431348457953 | 45.8506384212309 | 46.13094742984632 | 46.45884329785099 | 46.88140179178669 | 47.0143961615989 | 47.39113004854425 | 47.79045886246735 | 47.87140705855025 | 47.73726101897807 | 47.88777335755345 | 48.07936968298323 | 48.4590935356263 | 49.02382715885081 | 49.48769666374945 | 49.67341797779321 | 48.8469034949101 | 48.68836635059147 | 48.52435393537436 | 48.60429056905377
OECD members | OED | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 44.51377463281922 | 44.27541358870881 | 43.839891662916 | 44.26558401081959 | 44.44223444706836 | 44.75365452493056 | 45.15777188260239 | 45.31019424084406 | 45.6254738438235 | 45.85003560698645 | 45.85554788023241 | 45.77859449353542 | 45.78698107812356 | 45.92501095930508 | 46.2910352404249 | 46.8615217393114 | 47.28086575158361 | 47.49135164090745 | 46.70559229528224 | 46.71841167652759 | 46.59005415038639 | 46.83590803111317
Oman | OMN | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.6000003814697 | 14.8999996185303 | 15.3000001907349 | 15.8999996185303 | 16.2999992370605 | 16.7999992370605 | 17.2000007629395 | 17.7000007629395 | 18.3999996185303 | 18.7999992370605 | 19.1000003814697 | 19.7000007629395 | 20.3999996185303 | 20.7999992370605 | 21.2000007629395 | 21.7000007629395 | 22.2000007629395 | 22.5 | 23.2000007629395 | 23.6000003814697 | 24 | 24.3999996185303
Other small states | OSS | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.99064466612158 | 42.4563787370129 | 42.49237121188017 | 42.78209820959321 | 43.11284755435454 | 43.48401084400194 | 42.73208982928181 | 43.77458876867038 | 44.79009654485113 | 43.29537465689766 | 44.00776642363692 | 44.97668296013605 | 44.34107479119543 | 44.44239812009424 | 44.79849128768473 | 45.74122817561132 | 46.61865614478633 | 45.29671752342954 | 46.08763374202579 | 46.90106495482424 | 46.94604747098661 | 47.17939677890289
Pakistan | PAK | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.5 | 11.8999996185303 | 12.8000001907349 | 13.1999998092651 | 10.6999998092651 | 11.6000003814697 | 12.3000001907349 | 12.8999996185303 | 13.1000003814697 | 13.5 | 13.3000001907349 | 13.3999996185303 | 14.3000001907349 | 15.5 | 17 | 18.7999992370605 | 19.2999992370605 | 19.6000003814697 | 20.7999992370605 | 21.7999992370605 | 22 | 22.2000007629395
Panama | PAN | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 30.2000007629395 | 31.2000007629395 | 32.2000007629395 | 32.9000015258789 | 34.0999984741211 | 34.4000015258789 | 35.7000007629395 | 35.2999992370605 | 36.7999992370605 | 37 | 37 | 37.7000007629395 | 38.2999992370605 | 39.2999992370605 | 41.5 | 41 | 43.2000007629395 | 44.7999992370605 | 45 | 44.5999984741211 | 46.4000015258789 | 46.4000015258789
Peru | PER | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.5 | 42.5999984741211 | 43.5 | 46.0999984741211 | 48.9000015258789 | 51.2999992370605 | 54.7999992370605 | 55.5 | 58.2000007629395 | 54.2999992370605 | 59.7999992370605 | 57.2999992370605 | 54.7999992370605 | 55 | 54.5999984741211 | 55.5 | 62 | 62.5999984741211 | 64.5999984741211 | 65 | 65.1999969482422 | 65.4000015258789
Philippines | PHL | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 42.5 | 43.5 | 43.2999992370605 | 43.2999992370605 | 44.7999992370605 | 45.0999984741211 | 45 | 44.7999992370605 | 45.4000015258789 | 43.2999992370605 | 46.5 | 45.5999984741211 | 45.2999992370605 | 43.7999992370605 | 46 | 45 | 44.9000015258789 | 45.2999992370605 | 45.5999984741211 | 46.5999984741211 | 47.4000015258789 | 47.4000015258789
Palau | PLW | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
[NAME] | PNG | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 68.4000015258789 | 68.0999984741211 | 67.5999984741211 | 67.1999969482422 | 67.3000030517578 | 67.4000015258789 | 67.4000015258789 | 68.1999969482422 | 68.1999969482422 | 68.4000015258789 | 68.5999984741211 | 68.9000015258789 | 69 | 69 | 69.0999984741211 | 69.0999984741211 | 69.0999984741211 | 68.9000015258789 | 68.8000030517578 | 68.5999984741211 | 68.6999969482422 | 68.5999984741211
Poland | POL | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 47.7999992370605 | 45.7999992370605 | 44.9000015258789 | 44.0999984741211 | 43.5999984741211 | 43.5 | 43.2999992370605 | 43.4000015258789 | 42.2000007629395 | 40.2999992370605 | 39.4000015258789 | 38.2000007629395 | 38.0999984741211 | 38.0999984741211 | 38.4000015258789 | 39.5999984741211 | 41.5999984741211 | 43 | 43.2999992370605 | 43.5 | 43.4000015258789 | 43.5999984741211
Puerto Rico | PRI | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 26.7000007629395 | 27.2000007629395 | 29.1000003814697 | 29.5 | 29.6000003814697 | 29.7999992370605 | 30.5 | 30.5 | 32.7999992370605 | 32.2000007629395 | 32.2999992370605 | 32.5999984741211 | 33.0999984741211 | 33.5 | 34.2000007629395 | 34.5999984741211 | 33.9000015258789 | 33.2999992370605 | 32.7999992370605 | 30.7000007629395 | 30.1000003814697 | 29.7000007629395
Korea, Dem. Rep. | PRK | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 74.4000015258789 | 74.1999969482422 | 74.0999984741211 | 74.0999984741211 | 73.9000015258789 | 72.4000015258789 | 72.1999969482422 | 71.8000030517578 | 71.9000015258789 | 71.6999969482422 | 71.3000030517578 | 71.1999969482422 | 71 | 70.9000015258789 | 70.5999984741211 | 70.5 | 70.3000030517578 | 69.9000015258789 | 69.5999984741211 | 69.8000030517578 | 69.6999969482422 | 69.5
Portugal | PRT | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 47.7000007629395 | 46.2999992370605 | 45.9000015258789 | 45.7000007629395 | 45.4000015258789 | 46 | 47.4000015258789 | 48.4000015258789 | 49.2999992370605 | 50.2000007629395 | 50.9000015258789 | 50.9000015258789 | 50.5999984741211 | 50.4000015258789 | 50.5999984741211 | 50.7999992370605 | 50.9000015258789 | 51.2000007629395 | 50.2999992370605 | 49.5999984741211 | 48 | 46.7000007629395
Paraguay | PRY | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 49.5999984741211 | 51.4000015258789 | 50.0999984741211 | 51.0999984741211 | 53.7000007629395 | 50.5 | 47.2999992370605 | 45 | 45.9000015258789 | 46.2999992370605 | 47.5999984741211 | 45.7000007629395 | 48.0999984741211 | 49 | 50.7000007629395 | 50.5999984741211 | 51.5 | 51.2999992370605 | 52.5 | 50.9000015258789 | 51.2000007629395 | 51.0999984741211
Pacific island small states | PSS | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
French Polynesia | PYF | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Qatar | QAT | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 40.9000015258789 | 40.2000007629395 | 40.5 | 40.5 | 40.0999984741211 | 39.0999984741211 | 37 | 37.2999992370605 | 37.5 | 37.5 | 38.0999984741211 | 38.4000015258789 | 39.0999984741211 | 39 | 42.0999984741211 | 45.7000007629395 | 48.9000015258789 | 49.0999984741211 | 49.2000007629395 | 49.2000007629395 | 48.7000007629395 | 48.9000015258789
Romania | [NAME] | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 48.0999984741211 | 48.0999984741211 | 48.9000015258789 | 50 | 51.0999984741211 | 53.5999984741211 | 56.5 | 55.7999992370605 | 55.9000015258789 | 54.9000015258789 | 53.9000015258789 | 47.4000015258789 | 47.0999984741211 | 46.7000007629395 | 44.9000015258789 | 45.9000015258789 | 46 | 45.7999992370605 | 45.0999984741211 | 45 | 45 | 45.4000015258789
Russian Federation | RUS | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 51.5 | 54.2000007629395 | 51.7999992370605 | 48.5999984741211 | 47.7999992370605 | 47 | 45 | 43.5 | 47 | 48.5 | 48.4000015258789 | 49.9000015258789 | 50.7000007629395 | 51.5 | 52.2999992370605 | 52.7999992370605 | 53.9000015258789 | 53.5999984741211 | 52.5999984741211 | 52.5999984741211 | 53.4000015258789 | 54.0999984741211
Rwanda | RWA | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 88.0999984741211 | 87.6999969482422 | 87.0999984741211 | 86.5 | 86 | 85.3000030517578 | 85.5 | 85.5999984741211 | 85.5999984741211 | 85.6999969482422 | 85.6999969482422 | 85.5 | 85.4000015258789 | 85.3000030517578 | 85.4000015258789 | 85.5999984741211 | 85.8000030517578 | 86.0999984741211 | 86.3000030517578 | 86.4000015258789 | 86.4000015258789 | 86.1999969482422
South Asia | SAS | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 34.26046806117546 | 34.46748927390827 | 34.61970230193213 | 34.80764157022997 | 34.28423420297937 | 34.06443720681192 | 33.74716235142291 | 33.73242410413361 | 33.37891560989193 | 33.09090017142666 | 33.51619120883318 | 33.75351779809272 | 34.39762075680854 | 35.01383035484349 | 35.18699182762308 | 34.2962033596718 | 33.33519513813464 | 32.08358349078627 | 31.11513672750726 | 30.0730704673942 | 30.19368421403952 | 30.31574986965846
Saudi Arabia | SAU | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.8999996185303 | 11.3999996185303 | 12 | 13.6999998092651 | 13.8000001907349 | 12.5 | 12.8999996185303 | 13.1999998092651 | 15.3000001907349 | 14.6999998092651 | 14.5 | 14.1000003814697 | 13.6999998092651 | 13.3999996185303 | 15.6999998092651 | 15.5 | 15.3999996185303 | 15.1999998092651 | 14.6000003814697 | 14.6999998092651 | 15.3000001907349 | 14.3999996185303
[NAME] | SCE | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Sudan | SDN | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21.2999992370605 | 21.1000003814697 | 20.6000003814697 | 21.2999992370605 | 22 | 22.7000007629395 | 22 | 22.7999992370605 | 22.8999996185303 | 23.1000003814697 | 23.3999996185303 | 23.6000003814697 | 23.7000007629395 | 23.8999996185303 | 24.2000007629395 | 24.2000007629395 | 24.2999992370605 | 24.5 | 24.6000003814697 | 24.7999992370605 | 24.8999996185303 | 25
Senegal | SEN | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 54.2999992370605 | 54.5 | 54.7000007629395 | 55 | 55.2999992370605 | 55.2999992370605 | 55.5 | 55.5999984741211 | 55.5999984741211 | 55.7000007629395 | 55.9000015258789 | 56.0999984741211 | 56.4000015258789 | 56.4000015258789 | 56.5 | 56.5999984741211 | 56.7000007629395 | 56.9000015258789 | 57.0999984741211 | 57.4000015258789 | 57.4000015258789 | 57.5
Singapore | SGP | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 47.9000015258789 | 48.9000015258789 | 48.4000015258789 | 48.5999984741211 | 48.5 | 49.7999992370605 | 49.2999992370605 | 48.4000015258789 | 49.2000007629395 | 50.5 | 49.9000015258789 | 48.2000007629395 | 48.7000007629395 | 49.5 | 51.0999984741211 | 52.9000015258789 | 53.5999984741211 | 54.5 | 53.5999984741211 | 55.4000015258789 | 56.2999992370605 | 57.2000007629395
Solomon Islands | SLB | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 49.7000007629395 | 49.7999992370605 | 49.5 | 49.7000007629395 | 49.7999992370605 | 49.5999984741211 | 49.5999984741211 | 49.7999992370605 | 49.7999992370605 | 49.4000015258789 | 49.7000007629395 | 50.0999984741211 | 50.5999984741211 | 50.7999992370605 | 51 | 50.7999992370605 | 50.7999992370605 | 50.7000007629395 | 50.2999992370605 | 50.5999984741211 | 50.7999992370605 | 50.5999984741211
Sierra Leone | SLE | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 61.5999984741211 | 62.5999984741211 | 62.5999984741211 | 62.7000007629395 | 63 | 62.5999984741211 | 63.7000007629395 | 63.9000015258789 | 64.4000015258789 | 64.5 | 64 | 63 | 62.5999984741211 | 63.9000015258789 | 64 | 64.0999984741211 | 64.0999984741211 | 64.1999969482422 | 64.1999969482422 | 64.1999969482422 | 64.1999969482422 | 64.1999969482422
El Salvador | SLV | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 39 | 38.7000007629395 | 40 | 42 | 40.0999984741211 | 38.7000007629395 | 39.2999992370605 | 42.2000007629395 | 42.9000015258789 | 42.7000007629395 | 42.5999984741211 | 42.7000007629395 | 43.9000015258789 | 42.2000007629395 | 42.7999992370605 | 43.7000007629395 | 43.9000015258789 | 44.2999992370605 | 44.4000015258789 | 45.2000007629395 | 45.4000015258789 | 45.5999984741211
[NAME] | SMR | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Somalia | SOM | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 32.2000007629395 | 32.2999992370605 | 32.5 | 32.5 | 32.7000007629395 | 32.7999992370605 | 32.9000015258789 | 33 | 33.0999984741211 | 33.0999984741211 | 33.2999992370605 | 33.2999992370605 | 33.4000015258789 | 33.5 | 33.5999984741211 | 33.7000007629395 | 33.7999992370605 | 33.9000015258789 | 34 | 34.0999984741211 | 34.0999984741211 | 34.2000007629395
Serbia | SRB | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 37.7999992370605 | 37.0999984741211 | 35.5999984741211 | 36.5 | 37.5 | 37.7000007629395 | 37.4000015258789 | 37.5999984741211 | 37.7000007629395 | 38.4000015258789 | 38.4000015258789 | 38 | 37.4000015258789 | 35.7999992370605 | 34.7000007629395 | 34.5 | 36.7000007629395 | 39.0999984741211 | 36.4000015258789 | 34.0999984741211 | 34.2000007629395 | 34.2999992370605
Sub-Saharan Africa (developing only) | SSA | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 53.7865521821244 | 54.14101303898354 | 54.30787281646428 | 54.83428880412421 | 55.13856822194494 | 54.92706438905479 | 55.07613969344621 | 55.24072274465977 | 55.35574908738541 | 55.78929497862631 | 56.18181912747148 | 56.55360985647675 | 56.784458048319 | 57.17873461040732 | 57.55777274834941 | 57.68022407222297 | 57.88819176772891 | 57.92398724342849 | 57.95950090733712 | 58.04136392964826 | 58.11259329257223 | 58.23866048497338
South Sudan | SSD | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Sub-Saharan Africa (all income levels) | SSF | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 53.80282671004041 | 54.15782040115024 | 54.32387448978981 | 54.84987072690777 | 55.15379473631337 | 54.94336843939725 | 55.09343929036072 | 55.25585300650985 | 55.37084224751619 | 55.80398520865396 | 56.19725430335278 | 56.56789119117434 | 56.79855926701968 | 57.19315242940238 | 57.57129424882555 | 57.69350947427366 | 57.90188676120036 | 57.93756377783365 | 57.97269890142174 | 58.05463275925278 | 58.12610211134146 | 58.25210547949367
Small states | SST | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.71931001604471 | 42.12088235889782 | 42.10136489559144 | 42.54903007311451 | 42.69993311517766 | 42.95530153880494 | 42.32231293092062 | 42.96666028563273 | 43.53576582368213 | 42.77700144837444 | 43.25405219698528 | 43.97494902151665 | 43.78527310012705 | 44.24394873833066 | 44.76519262019359 | 45.59275968014556 | 46.29101086420242 | 45.40796983859544 | 45.63084250928907 | 46.07544748378791 | 46.08564453177377 | 46.26774821194797
Sao Tome and Principe | STP | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Suriname | SUR | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 33.5 | 28.7999992370605 | 25.1000003814697 | 29.2999992370605 | 29.1000003814697 | 28.5 | 29.5 | 30.2000007629395 | 28.6000003814697 | 28.8999996185303 | 29.5 | 29.6000003814697 | 29.8999996185303 | 30.2000007629395 | 30.3999996185303 | 30.7999992370605 | 31.1000003814697 | 31.5 | 31.8999996185303 | 32.2999992370605 | 32.5 | 32.5999984741211
Slovak Republic | SVK | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 52.2000007629395 | 50.5 | 48.2000007629395 | 44.2000007629395 | 44.4000015258789 | 45.7000007629395 | 45.2000007629395 | 44.7999992370605 | 43.5 | 42.9000015258789 | 43.0999984741211 | 42.7000007629395 | 43.4000015258789 | 42.4000015258789 | 42.4000015258789 | 43.2000007629395 | 44.0999984741211 | 45.2999992370605 | 43.7999992370605 | 43.4000015258789 | 43.5999984741211 | 43.5999984741211
Slovenia | SVN | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 44.7999992370605 | 45.0999984741211 | 44.0999984741211 | 48.2000007629395 | 48.7999992370605 | 48 | 49 | 49.0999984741211 | 48 | 47.5999984741211 | 47.7999992370605 | 47.5 | 46.5999984741211 | 49 | 49.0999984741211 | 49.2999992370605 | 50.2999992370605 | 51 | 50.2999992370605 | 49.4000015258789 | 48 | 47.4000015258789
Sweden | SWE | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 60 | 57.5999984741211 | 54.4000015258789 | 53.2999992370605 | 53.7000007629395 | 53.0999984741211 | 52.0999984741211 | 52.2999992370605 | 53.4000015258789 | 54.9000015258789 | 56 | 55.9000015258789 | 55.5 | 54.9000015258789 | 54.7999992370605 | 55.2999992370605 | 55.9000015258789 | 55.9000015258789 | 54.7000007629395 | 54 | 55.0999984741211 | 55.5
Swaziland | SWZ | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 31.6000003814697 | 31.7999992370605 | 31.8999996185303 | 31.8999996185303 | 32.7000007629395 | 32.4000015258789 | 31.5 | 31.6000003814697 | 31.6000003814697 | 31.6000003814697 | 31.6000003814697 | 31.6000003814697 | 31.7000007629395 | 31.7000007629395 | 31.7000007629395 | 31.7000007629395 | 31.7999992370605 | 31.8999996185303 | 32 | 32.2000007629395 | 32.2999992370605 | 32.5
Sint Maarten (Dutch part) | SXM | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Seychelles | SYC | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Syrian Arab Republic | SYR | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.8000001907349 | 15.5 | 17.3999996185303 | 18.3999996185303 | 19.3999996185303 | 17.5 | 17.8999996185303 | 18.1000003814697 | 17.5 | 15.8999996185303 | 14.3999996185303 | 14.6999998092651 | 15.1999998092651 | 13.8000001907349 | 12.6000003814697 | 11.3999996185303 | 11.1000003814697 | 11.1999998092651 | 10.1000003814697 | 10.1999998092651 | 10.3000001907349 | 10.3999996185303
Turks and Caicos Islands | TCA | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Chad | TCD | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 58.7000007629395 | 58.0999984741211 | 59.2000007629395 | 59.4000015258789 | 59.0999984741211 | 59.2000007629395 | 59.2000007629395 | 59.2000007629395 | 59 | 58.9000015258789 | 59.2000007629395 | 59.0999984741211 | 59.2000007629395 | 59.7000007629395 | 59 | 58.7000007629395 | 58.7000007629395 | 58.7000007629395 | 58.5999984741211 | 59 | 58.5999984741211 | 58.7000007629395
Togo | TGO | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 62.0999984741211 | 62.9000015258789 | 63.4000015258789 | 65.3000030517578 | 65.9000015258789 | 66.8000030517578 | 67.5 | 68.0999984741211 | 69.0999984741211 | 69.6999969482422 | 70.4000015258789 | 71.0999984741211 | 72 | 72.5999984741211 | 73.1999969482422 | 74 | 74 | 74 | 74.1999969482422 | 74.1999969482422 | 74.3000030517578 | 74.3000030517578
Thailand | THA | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 71.4000015258789 | 69.5999984741211 | 66.5999984741211 | 63.5 | 64.6999969482422 | 66 | 66.8000030517578 | 63.7000007629395 | 62.5999984741211 | 63.9000015258789 | 63.9000015258789 | 64.4000015258789 | 64.5 | 64.6999969482422 | 65.3000030517578 | 64.1999969482422 | 65.1999969482422 | 65.0999984741211 | 63.7999992370605 | 63.7999992370605 | 64 | 64
Tajikistan | TJK | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 51.4000015258789 | 52 | 51.5999984741211 | 52 | 51.7999992370605 | 51.5 | 51.4000015258789 | 51.2999992370605 | 51.2999992370605 | 51.2000007629395 | 51 | 50.9000015258789 | 50.7999992370605 | 50.7000007629395 | 50.7999992370605 | 50.7999992370605 | 50.9000015258789 | 51.0999984741211 | 51.2999992370605 | 51.4000015258789 | 51.5999984741211 | 51.7999992370605
Turkmenistan | TKM | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.4000015258789 | 41.5999984741211 | 41.9000015258789 | 42.2000007629395 | 42.0999984741211 | 42.0999984741211 | 42.2000007629395 | 42.0999984741211 | 42.0999984741211 | 42.0999984741211 | 42 | 42 | 41.7999992370605 | 41.5999984741211 | 41.4000015258789 | 41.2999992370605 | 41.2000007629395 | 41 | 41 | 41 | 41.0999984741211 | 41.4000015258789
Timor-Leste | TLS | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 37.0999984741211 | 36.9000015258789 | 36.7000007629395 | 36.4000015258789 | 36.2000007629395 | 35.9000015258789 | 35.5999984741211 | 35.5 | 35.4000015258789 | 34.5999984741211 | 34.0999984741211 | 32.7999992370605 | 31.5 | 30.2999992370605 | 29.1000003814697 | 27.8999996185303 | 26.5 | 25.3999996185303 | 24.3999996185303 | 23.6000003814697 | 23.3999996185303 | 23.2999992370605
Tonga | TON | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Trinidad and Tobago | TTO | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 34 | 33.2000007629395 | 33.0999984741211 | 34.4000015258789 | 35.5999984741211 | 37 | 37.7000007629395 | 38 | 38.9000015258789 | 39.4000015258789 | 40.2999992370605 | 40.7000007629395 | 42.4000015258789 | 45.5999984741211 | 47.5999984741211 | 48.9000015258789 | 48.2000007629395 | 49.7999992370605 | 48.4000015258789 | 48.7999992370605 | 48.9000015258789 | 49.2999992370605
Tunisia | TUN | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 17.2000007629395 | 17.5 | 17.7999992370605 | 18.6000003814697 | 18.6000003814697 | 19.1000003814697 | 19.5 | 18.8999996185303 | 19.2999992370605 | 19.5 | 19.7000007629395 | 19.7999992370605 | 20.1000003814697 | 20.3999996185303 | 20.5 | 21 | 21.1000003814697 | 21.2000007629395 | 21.1000003814697 | 21.2999992370605 | 21.3999996185303 | 21.5
Turkey | TUR | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 31.6000003814697 | 30.1000003814697 | 24.2000007629395 | 28.7000007629395 | 28.6000003814697 | 28.7000007629395 | 26.5 | 27.2000007629395 | 27.6000003814697 | 24.7000007629395 | 24.8999996185303 | 25 | 23.7000007629395 | 20.8999996185303 | 20.7999992370605 | 21.1000003814697 | 21.1000003814697 | 21.7000007629395 | 22.3999996185303 | 24.1000003814697 | 25.6000003814697 | 26.2999992370605
Tuvalu | TUV | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Tanzania | TZA | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 83.1999969482422 | 83 | 82.9000015258789 | 82.8000030517578 | 81.9000015258789 | 81.4000015258789 | 81.9000015258789 | 81.6999969482422 | 81.8000030517578 | 81.1999969482422 | 81.1999969482422 | 83.4000015258789 | 84.1999969482422 | 85 | 85.6999969482422 | 83.8000030517578 | 86.4000015258789 | 85.6999969482422 | 85.5999984741211 | 84.9000015258789 | 84.1999969482422 | 84.1999969482422
Uganda | UGA | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 79.9000015258789 | 79.8000030517578 | 79.9000015258789 | 79.6999969482422 | 79.5 | 79.1999969482422 | 79.0999984741211 | 78.9000015258789 | 78.5999984741211 | 78.0999984741211 | 77.5999984741211 | 77.3000030517578 | 76.6999969482422 | 76.1999969482422 | 75.4000015258789 | 75.0999984741211 | 74.9000015258789 | 74 | 72.5999984741211 | 72.5 | 72.3000030517578 | 72.1999969482422
Ukraine | UKR | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 52 | 51.0999984741211 | 50.0999984741211 | 50.7000007629395 | 51.0999984741211 | 49.7000007629395 | 48.7000007629395 | 47.2000007629395 | 46.7000007629395 | 46.2999992370605 | 46.2999992370605 | 47.2000007629395 | 47.2999992370605 | 47.7000007629395 | 48.4000015258789 | 48.7000007629395 | 49 | 49.0999984741211 | 48 | 48.4000015258789 | 48.7000007629395 | 49.0999984741211
Upper middle income | UMC | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 56.73582522564756 | 57.2625214310813 | 56.90732632098512 | 57.01104938495764 | 56.89227758948141 | 56.61073203051811 | 56.69863834710812 | 56.38771096338519 | 56.28547819970118 | 56.04523560859772 | 55.81374556880443 | 55.42351200734631 | 54.88447884504006 | 54.63681212687541 | 54.36652664294945 | 54.17497306825945 | 53.97284141700475 | 53.47867583314967 | 53.08738217615109 | 52.87489042936929 | 53.03065151142816 | 53.18835545745277
Uruguay | URY | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 39.2000007629395 | 41.9000015258789 | 41.5999984741211 | 42.2000007629395 | 42.9000015258789 | 43 | 44.2999992370605 | 43.7000007629395 | 44.4000015258789 | 45.0999984741211 | 46.9000015258789 | 46.7000007629395 | 46.5 | 45.9000015258789 | 46.2000007629395 | 45 | 47.2000007629395 | 48.9000015258789 | 49.7000007629395 | 50.2000007629395 | 51 | 51
United States | USA | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 52.5 | 52.5 | 52.9000015258789 | 54.0999984741211 | 54.5 | 55 | 55.7000007629395 | 56 | 56.4000015258789 | 56.5999984741211 | 56.0999984741211 | 55.2999992370605 | 55.0999984741211 | 55 | 55.2999992370605 | 55.7000007629395 | 55.7000007629395 | 55.2999992370605 | 53.5 | 52.5999984741211 | 52.0999984741211 | 52.2999992370605
Uzbekistan | UZB | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.0999984741211 | 41.2999992370605 | 41.2000007629395 | 41.2999992370605 | 41.2999992370605 | 41.4000015258789 | 41.5 | 41.7000007629395 | 41.7999992370605 | 41.9000015258789 | 42 | 42 | 42 | 41.9000015258789 | 41.9000015258789 | 41.9000015258789 | 41.9000015258789 | 41.9000015258789 | 41.9000015258789 | 42 | 42.2000007629395 | 42.2999992370605
St. Vincent and the Grenadines | VCT | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Venezuela, RB | VEN | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 34.7000007629395 | 34.7000007629395 | 33.5 | 34.0999984741211 | 36.2000007629395 | 36.7999992370605 | 40 | 41.7999992370605 | 41 | 41.9000015258789 | 44.7999992370605 | 44.4000015258789 | 42.7000007629395 | 43.0999984741211 | 44.5 | 45 | 46 | 46.9000015258789 | 46.7000007629395 | 45.9000015258789 | 46 | 46.4000015258789
Virgin Islands (U.S.) | VIR | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Vietnam | VNM | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 72.1999969482422 | 72.0999984741211 | 71.4000015258789 | 71.9000015258789 | 72.0999984741211 | 72.1999969482422 | 71.4000015258789 | 71.6999969482422 | 71.5 | 71.5 | 70.5999984741211 | 71.3000030517578 | 70.9000015258789 | 71 | 70.9000015258789 | 70.5999984741211 | 70.5 | 70.3000030517578 | 70.3000030517578 | 70.5 | 70.9000015258789 | 71.1999969482422
[NAME] | VUT | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
West Bank and Gaza | PSE | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.10000038146973 | 8.10000038146973 | 8.10000038146973 | 8.19999980926514 | 8.30000019073486 | 8.30000019073486 | 8.69999980926514 | 9.30000019073486 | 9.80000019073486 | 9.5 | 9.10000038146973 | 8.80000019073486 | 9.89999961853027 | 11 | 11.3000001907349 | 11.6000003814697 | 12.3000001907349 | 12.1000003814697 | 12.5 | 11.8999996185303 | 12.5 | 12.3999996185303
World | WLD | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 48.67495226629394 | 48.99657942354688 | 48.72713930303119 | 48.80797560224298 | 48.73243117488266 | 48.59567700845738 | 48.50688254922326 | 48.36531745114424 | 48.50150547571447 | 48.44968332907183 | 48.4068680889058 | 48.33233698101584 | 48.33471566548372 | 48.45865100431575 | 48.53558813725019 | 48.41475168363246 | 48.34719401530514 | 47.9409786604468 | 47.40847731170782 | 47.09060122298602 | 47.17720578940622 | 47.29577784596933
Samoa | WSM | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS
Yemen, Rep. | YEM | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12 | 12.6000003814697 | 13.1999998092651 | 12.6999998092651 | 13.6000003814697 | 14.6000003814697 | 15.1000003814697 | 15.5 | 16.8999996185303 | 16.2999992370605 | 17.2999992370605 | 17.5 | 17.7000007629395 | 17.8999996185303 | 17.5 | 17.7999992370605 | 18.2000007629395 | 18.5 | 18.8999996185303 | 17.7999992370605 | 18.1000003814697 | 18.2999992370605
South Africa | ZAF | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 28.2999992370605 | 30 | 29.8999996185303 | 33.2999992370605 | 35.7000007629395 | 34.2999992370605 | 34.0999984741211 | 33.5999984741211 | 34 | 35.2000007629395 | 36.2000007629395 | 34 | 32.5999984741211 | 32 | 33.2999992370605 | 34.5999984741211 | 34.0999984741211 | 34.4000015258789 | 33.2000007629395 | 31.6000003814697 | 31.7000007629395 | 31.8999996185303
Congo, Dem. Rep. | COD | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 62.5 | 63 | 63.7000007629395 | 64.1999969482422 | 64.3000030517578 | 64.4000015258789 | 64.5 | 64.8000030517578 | 65 | 65.3000030517578 | 65.5999984741211 | 65.8000030517578 | 65.8000030517578 | 65.6999969482422 | 65.6999969482422 | 65.5999984741211 | 65.5 | 65.5 | 65.3000030517578 | 65.4000015258789 | 65.4000015258789 | 65.3000030517578
Zambia | ZMB | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 62 | 62.2000007629395 | 61.7000007629395 | 62.5999984741211 | 63.2000007629395 | 65.0999984741211 | 65.5999984741211 | 67.3000030517578 | 67.1999969482422 | 66.6999969482422 | 65.0999984741211 | 65.3000030517578 | 64.5 | 64.0999984741211 | 63.5999984741211 | 63.7000007629395 | 63.7000007629395 | 63.5 | 63.5999984741211 | 64.6999969482422 | 64.6999969482422 | 64.9000015258789
Zimbabwe | ZWE | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 64.3000030517578 | 64.4000015258789 | 64.4000015258789 | 64.9000015258789 | 64.6999969482422 | 64.4000015258789 | 64.1999969482422 | 62.7000007629395 | 61.2999992370605 | 65.3000030517578 | 69.3000030517578 | 73.0999984741211 | 76.5 | 79.5999984741211 | 79.5999984741211 | 79.5 | 79.5 | 79.1999969482422 | 79.5999984741211 | 79.6999969482422 | 79.9000015258789 | 80.0999984741211