Spreadsheet: 35093dd3-e4ce-4f61-834c-f369b44e3a68
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 | 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 | 2014
Aruba | ABW | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 95.1999969482422 |  |  | 93.9000015258789 |  |  |  |  |  | 93.4000015258789 |  |  |  |  |  |  | 93.8000030517578
Andorra | AND | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Afghanistan | AFG | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Angola | AGO | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Albania | ALB | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 29.5 | 33.7000007629395 | 34 | 37.5
Andean Region | ANR | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Arab World | ARB | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
United Arab Emirates | ARE | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 98.6999969482422 |  |  | 99 | 98.5999984741211
Argentina | ARG | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 70.1999969482422 | 71.4000015258789 | 72.5 | 71.3000030517578 | 72.0999984741211 | 74.9000015258789 | 74.3000030517578 | 75 | 75.5 | 75.9000015258789 | 76.4000015258789 | 76.0999984741211 | 78.0999984741211 | 78.5999984741211 | 78.5999984741211 | 79 | 80.1999969482422 | 80.9000015258789 | 80.6999969482422 | 80.0999984741211 | 80.5999984741211 | 81.3000030517578 | 81.1999969482422
Armenia | ARM | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 51.9000015258789 | 52.7000007629395 | 50.2999992370605 | 51.5999984741211
American Samoa | ASM | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 98.5
[NAME] and [NAME] | ATG | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 82.5 |  |  |  |  |  |  |  |  |  | 82
Australia | AUS | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 87.1999969482422 | 87.0999984741211 | 87.8000030517578 | 87.8000030517578 | 87.4000015258789 | 87.1999969482422 | 86.9000015258789 | 87.4000015258789 | 87.9000015258789 | 88.0999984741211 | 87.8000030517578 | 88.5999984741211 | 88.9000015258789 | 89.3000030517578 | 89.8000030517578 | 89.5999984741211 | 90 | 90.1999969482422 | 90.1999969482422 | 90.6999969482422 | 91 | 91 | 91.1999969482422 | 91.0999984741211 | 91.4000015258789
Austria | AUT | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 85.9000015258789 | 85.6999969482422 | 86.6999969482422 | 86.9000015258789 | 86.9000015258789 | 87.5 | 87.6999969482422 | 87.9000015258789 | 88.5 | 89.1999969482422 | 89.0999984741211 | 88.6999969482422 | 87.6999969482422 | 88.5 | 89 | 88.6999969482422 | 88.6999969482422 | 89.1999969482422
Azerbaijan | AZE | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 31 | 33.2000007629395 | 33.7999992370605 | 33.7999992370605 | 32.7000007629395 | 37 |  |  |  | 28.8999996185303
Burundi | BDI | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.29999995231628
Belgium | BEL | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 82.5 | 82.3000030517578 | 82.1999969482422 | 80.8000030517578 | 78.5 | 79.5 | 80.9000015258789 | 82.6999969482422 | 83.4000015258789 | 82.5 | 83 | 84.5999984741211 | 83.5999984741211 | 84 | 84.6999969482422 | 83.5999984741211 | 84.1999969482422 | 84.9000015258789 | 85 | 84 | 86.1999969482422 | 87 | 86.5 | 87.3000030517578 | 88.3000030517578 | 87.6999969482422 | 88.1999969482422 | 88.5 | 89.1999969482422 | 88.6999969482422 | 89.1999969482422 | 89.5 | 89.5
Benin | [NAME] | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.19999980926514
[NAME] | BFA | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.899999976158142 |  |  |  |  |  |  |  |  | 1.39999997615814 |  |  |  |  |  |  |  |  | 3 |  |  | 4
Bangladesh | BGD | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.69999980926514 |  |  |  | 8.30000019073486 |  |  | 13.3000001907349 |  | 11.6999998092651
Bulgaria | BGR | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 86.5999984741211 | 87.5999984741211 | 87.5 | 87.4000015258789 | 87.1999969482422 | 88.8000030517578 | 89.9000015258789 | 90.5999984741211 | 90.1999969482422 | 90.1999969482422 | 89.6999969482422 | 90.5999984741211 | 91.1999969482422
Bahrain | BHR | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 98.1999969482422 | 98.1999969482422 | 98.5 | 98.3000030517578 | 98.3000030517578 | 98.3000030517578 | 98.3000030517578 | 98.1999969482422 | 99
Bahamas, The | BHS | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 89.4000015258789 | 90.5999984741211 | 88.5 | 88.3000030517578 | 87.5 | 85.6999969482422 | 89.0999984741211 | 89 | 88.1999969482422 |  | 89.8000030517578 | 89.0999984741211 | 89.0999984741211 | 87.4000015258789 |  |  |  | 90.5 |  |  | 90.3000030517578
Bosnia and Herzegovina | BIH | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 73.0999984741211 | 73.5999984741211 | 72.5999984741211 | 70.4000015258789 | 72 | 74.3000030517578 | 72.3000030517578
Belarus | BLR | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 94.9000015258789
Belize | BLZ | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 76.3000030517578 | 75.1999969482422 | 74.6999969482422 | 75.0999984741211 | 70.5999984741211 | 72.3000030517578 | 71.5 |  |  |  |  |  | 73.9000015258789
Bermuda | BMU | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Bolivia | BOL | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 45.2999992370605 | 48.4000015258789 | 46.7999992370605 | 45.5 | 47.2999992370605 | 43.7999992370605 | 42 | 39.9000015258789 | 39.0999984741211 |  | 19 | 20 | 19.5 | 20.2000007629395 | 26.3999996185303 | 26.3999996185303 | 26.6000003814697 | 28.8999996185303 | 22.7000007629395 | 30.6000003814697 | 32.9000015258789
Brazil | BRA | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 68 |  | 60 | 60.4000015258789 |  | 60.2000007629395 | 63.2999992370605 |  |  |  | 73.5 | 64.9000015258789 | 64.4000015258789 | 64.8000030517578 | 65.5 | 64.8000030517578 | 66 | 67.1999969482422 | 68.0999984741211 | 69.1999969482422
Barbados | BRB | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 90.6999969482422 | 91.1999969482422 | 90.5999984741211 | 89.8000030517578 | 90 | 90.1999969482422 | 89.1999969482422 | 91.0999984741211 | 90.4000015258789 | 90.3000030517578 | 91.8000030517578 | 90.5999984741211 | 90.5 | 91.0999984741211 | 89.5
[NAME] | BRN | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 96.0999984741211
Bhutan | BTN | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21.1000003814697 |  |  | 14.3000001907349 | 23.1000003814697 | 16.7000007629395 | 14.3000001907349
Botswana | BWA | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 37.2999992370605 |  |  |  |  |  |  |  |  |  | 64.9000015258789 |  |  |  |  |  |  |  |  |  |  |  | 58.5999984741211
Sub-Saharan Africa (IFC classification) | CAA | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Central African Republic | CAF | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Canada | CAN | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 92.0999984741211 | 92.4000015258789 | 92 | 91.8000030517578 | 91.5999984741211 | 90.9000015258789 | 92 | 90.0999984741211 | 90 | 90.1999969482422 | 89.9000015258789 | 89.8000030517578 | 89.5 | 88.8000030517578 | 88.3000030517578 | 88.3000030517578 | 87.5 | 86.6999969482422 | 86.6999969482422 | 87 | 87.5999984741211 | 88.8000030517578 | 88.5 | 88.6999969482422 | 88.8000030517578 | 88.5999984741211 | 88.6999969482422 | 88.5999984741211 | 88.8000030517578 | 91.5999984741211 | 91.9000015258789 | 92
East Asia and the Pacific (IFC classification) | CEA | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Central Europe and the Baltics | CEB | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 72.4898141973703 | 73.53137373242802 | 73.13326841083412 | 74.11180482081488 | 73.44394446223787 | 74.19690468356242 | 74.14362954388572 | 74.67058820606947 | 74.69247762270432 | 77.24264785033107 | 77.818100394004 | 79.14903128498464 | 79.7052866824512 | 80.7392400281284 | 81.21898383120863 | 81.82290599039665 | 81.57461947852991 | 81.21005459751785 | 81.57085755241427 | 81.77381022087789
Europe and Central Asia (IFC classification) | CEU | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Switzerland | CHE | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 86 | 85.4000015258789 | 84.6999969482422 | 85.3000030517578 | 85.8000030517578 | 84.4000015258789 | 83.8000030517578 | 84.4000015258789 | 84.5999984741211 | 84.8000030517578 | 85.5999984741211 | 85.8000030517578 | 85.3000030517578 | 86.9000015258789 | 86.5999984741211 | 86.5 | 86.0999984741211 | 86.8000030517578 | 87.0999984741211 | 87.1999969482422 | 86.8000030517578 | 86.9000015258789
Channel Islands | CHI | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Chile | CHL | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 77 |  | 77.3000030517578 |  | 77.0999984741211 |  | 75.1999969482422 | 74.3000030517578 | 72.6999969482422 | 74.1999969482422 | 74.9000015258789 | 73.3000030517578 | 73.1999969482422 | 73.1999969482422 | 71.9000015258789 | 74.5999984741211 | 73.6999969482422 | 74.4000015258789 | 74.3000030517578 | 74.8000030517578 | 75.0999984741211 | 62.2000007629395
China | CHN | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Cote d'Ivoire | CIV | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.1999998092651
Latin America and the Caribbean (IFC classification) | CLA | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Middle East and North Africa (IFC classification) | CME | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Cameroon | CMR | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.69999980926514 |  |  |  |  | 8.69999980926514 |  |  |  |  |  |  |  |  | 11.1999998092651
Congo, Rep. | COG | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.60000038146973
Colombia | COL | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 71.6999969482422 | 72.8000030517578 | 73.9000015258789 | 71 | 71.5 | 70 | 67.3000030517578 | 65.4000015258789 | 55.0999984741211 | 51.5999984741211 | 51.2999992370605 | 52.7000007629395 | 51.2999992370605 | 51.7000007629395 | 52.2999992370605 | 55.5999984741211 | 50.7000007629395 | 48.5 | 47.7000007629395 | 46.7000007629395 | 46.2000007629395
Comoros | COM | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Cabo Verde | CPV | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 33
Costa Rica | CRI | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 80.4000015258789 | 79 | 78.5999984741211 | 77.6999969482422 | 74.9000015258789 | 78.5999984741211 | 76.0999984741211 | 76.1999969482422 | 75.6999969482422 | 77.6999969482422 | 74.3000030517578 | 75.8000030517578 | 74.6999969482422 | 76.5999984741211 | 71.3000030517578 |  | 71.0999984741211 | 70.5999984741211 | 73.0999984741211 | 73.6999969482422 | 76.0999984741211 | 75.4000015258789 | 74.8000030517578 | 79.5999984741211 | 78.9000015258789 | 79.8000030517578
South Asia (IFC classification) | CSA | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Caribbean small states | CSS | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 69.1448691150271 | 67.57761199458261 | 70.069243654577 | 70.31006368844798 | 72.4036604041538 | 72.60991498649356 | 73.00026824211692 | 73.9645882366018 | 72.613466262807 |  | 73.52476634303895 | 75.42046917797899 | 75.404077336451 | 74.7564077854255
Cuba | CUB | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 91.9000015258789 | 92.5 | 92.1999969482422 | 91.9000015258789 | 91.3000030517578 | 91.5 | 91.4000015258789 | 91.6999969482422 | 91.3000030517578 | 91.5999984741211 | 91.8000030517578 | 92 | 93.5 | 93.4000015258789 | 93.9000015258789 | 94 | 89
[NAME] | CUW | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Cayman Islands | CYM | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 93.4000015258789 | 94.6999969482422 | 94.5999984741211
Cyprus | CYP | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 84.4000015258789 | 83.5 | 84 | 84.0999984741211 | 84.3000030517578 | 84.3000030517578 | 83.9000015258789 | 85.0999984741211 | 86.8000030517578 | 87.1999969482422 | 86 | 87 | 87.9000015258789 | 89
Czech Republic | CZE | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 90.1999969482422 | 90.6999969482422 | 90 | 90.3000030517578 | 92 | 91 | 90.3000030517578 | 90.0999984741211 | 89.5999984741211 | 89.5 | 88.3000030517578 | 88.9000015258789 | 89.5999984741211 | 89.0999984741211 | 89.4000015258789 | 89.4000015258789 | 88.5999984741211 | 87.8000030517578 | 87.0999984741211 | 86.5999984741211
Germany | DEU | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 86.9000015258789 | 86.9000015258789 | 88.5 | 88.6999969482422 | 89 | 89.0999984741211 | 89.8000030517578 | 90.3000030517578 | 92.0999984741211 | 91.9000015258789 | 91.6999969482422 | 91.5999984741211 | 91.5 | 92 | 91.9000015258789 | 91.8000030517578 | 92.1999969482422 | 92.1999969482422 | 91.5 | 91.6999969482422 | 91.8000030517578 | 91.1999969482422 | 90.5999984741211 | 90.8000030517578 | 90.8000030517578 | 91.1999969482422 | 91.5999984741211 | 91.5999984741211 | 91.5 | 91.6999969482422
Djibouti | DJI | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 30.1000003814697
Dominica | DMA | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 70.4000015258789 |  |  |  |  |  | 70.9000015258789 |  | 66.0999984741211 |  | 75.5999984741211
Denmark | DNK | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 90.1999969482422 | 90.8000030517578 | 91.4000015258789 | 91.8000030517578 | 92.1999969482422 | 93 | 93 | 92.8000030517578 | 92.9000015258789 | 92.8000030517578 | 93 | 93 | 93.8000030517578 | 93.9000015258789 | 94.0999984741211 | 93.6999969482422 | 94 | 94.3000030517578 | 95.3000030517578 | 94.8000030517578 | 94.1999969482422 | 94.8000030517578 | 94.5999984741211 | 94.1999969482422 | 94.6999969482422 | 95 | 94.5999984741211 | 94.4000015258789 | 94.5999984741211 | 94.4000015258789
Dominican Republic | DOM | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 68.9000015258789 | 63.0999984741211 | 66.6999969482422 | 69.5999984741211 | 69.5 | 67.5999984741211 | 66.5999984741211 | 64.4000015258789 | 65.0999984741211 | 69.6999969482422 | 67.6999969482422 | 67.3000030517578 | 69.4000015258789 | 69.8000030517578 | 66.4000015258789 | 67.5 | 67.3000030517578 | 64.6999969482422 | 67.1999969482422 | 45.4000015258789
Algeria | DZA | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 57.7000007629395 |  | 65.8000030517578 | 49.7999992370605 | 51.0999984741211 |  |  | 39.7999992370605 | 39.2000007629395 | 35.9000015258789 | 74.4000015258789
East Asia & Pacific (developing only) | EAP | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
East Asia & Pacific (all income levels) | EAS | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Europe & Central Asia (developing only) | ECA | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 64.99149980589681 | 66.26700770337233 | 64.59628112904161 | 66.31989218995548 | 66.17554155482172 | 68.76648895531169 | 68.75458121187289 | 68.17179280441496 | 70.67664615101897 |  | 69.5851585723007 | 68.11894791045187
Europe & Central Asia (all income levels) | ECS | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 83.80559354849025 | 84.64210618311378 | 83.85201591071537 | 84.20559054939204 | 84.27936685957738 | 84.25793041361865 | 84.00534471823332 | 83.45692895676943 | 84.220986445479 | 83.89122129868504 | 84.37711630195048 | 83.98271783726646 | 84.34314685624625 | 84.33243722799806 | 85.089335266665 | 85.33549434830415 | 85.20495512375028 | 83.61140497525675 | 83.66532844027428 | 83.60203100431332 | 82.95359823784463
Ecuador | ECU | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46.7999992370605 | 46.5999984741211 | 44.7999992370605 | 43.7000007629395 | 42.4000015258789 | 41.5 | 43.7000007629395 | 43.5999984741211 | 43.7000007629395 | 46.0999984741211 | 42.9000015258789 | 57 | 48.7999992370605 | 42.4000015258789 |  | 47.2999992370605 | 41.0999984741211 | 46.0999984741211 | 43.5999984741211 | 45.0999984741211 | 47.5 | 46.2999992370605 | 48.5999984741211 | 45.9000015258789 | 56.0999984741211
Egypt, Arab Rep. | EGY | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 49.5 | 49.2999992370605 | 52.9000015258789 |  | 55.5 | 60.7000007629395 | 64.4000015258789 | 57.2000007629395 | 64.8000030517578 | 67.9000015258789 | 56.5 | 49.2999992370605 | 50.7999992370605 | 53.7000007629395 | 47.9000015258789 |  | 50.2000007629395 | 52
Euro area | EMU | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 84.36772361358383 | 84.57787823783389 | 84.93211626561582 | 85.11662070958812 | 85.2415237480646 | 85.70388055024368 | 85.85459248166481 | 86.16862921908516 | 86.58042932288318 | 87.04240812135531 | 87.09010664061508 | 87.42139455365786 | 87.5395008972348 | 87.306875456441 | 87.43221278030346 | 87.52849507339671 | 87.7877392285621 | 88.08200420707641 | 88.3724581936013 | 88.36365700684921 | 88.52675667979146 | 88.54424431025585
Eritrea | ERI | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Spain | ESP | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 64.5 | 64.4000015258789 | 65.5 | 65.1999969482422 | 65.8000030517578 | 66.5 | 67.6999969482422 | 66.9000015258789 | 68.8000030517578 | 71.1999969482422 | 73.1999969482422 | 74.5 | 74.3000030517578 | 74.9000015258789 | 75.9000015258789 | 76.5999984741211 | 77.5 | 79.0999984741211 | 80 | 82 | 83.1999969482422 | 83.4000015258789 | 84.5 | 85.3000030517578 | 85.6999969482422 | 85.4000015258789 | 86.0999984741211 | 86.5 | 86.6999969482422 | 87.1999969482422 | 87.5999984741211 | 87.5999984741211 | 87
Estonia | EST | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 97.3000030517578 | 96.6999969482422 | 96.3000030517578 | 95.3000030517578 | 94 | 93.6999969482422 | 95.1999969482422 | 95 | 95 | 93.8000030517578 | 93.5 | 93 | 95.5999984741211 | 95.5999984741211 | 94.4000015258789 | 94 | 94.9000015258789 | 95.3000030517578 | 94.5999984741211 | 95.0999984741211 | 94.9000015258789 | 94.6999969482422 | 94.8000030517578 | 94.9000015258789
Ethiopia | ETH | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.300000011920929 |  |  |  |  |  | 2 |  |  |  |  |  |  | 4 |  |  |  |  | 6.40000009536743 |  |  |  |  |  | 6.19999980926514
European Union | EUU | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 84.83410253552135 | 83.37222274866019 | 83.6949426108082 | 83.72995674775602 | 83.79143043205973 | 84.11923390410188 | 84.09710135185956 | 84.4221766681354 | 84.7676330001736 | 85.10321370028267 | 85.2758297357285 | 86.10713800759042 | 86.26671472441531 | 86.45601163925646 | 86.64568137983082 | 86.86350877362223 | 87.10483824891048 | 87.40929594639391 | 87.5158108530378 | 87.377133027985 | 87.54634773499942 | 87.52215497624931
Fragile and conflict affected situations | FCS | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Finland | FIN | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 84.5999984741211 | 85.3000030517578 | 85.9000015258789 | 86.4000015258789 | 86.5999984741211 | 87.6999969482422 | 88.3000030517578 | 88 | 88.6999969482422 | 88.5 | 88.5999984741211 | 89.0999984741211 | 89.3000030517578 | 89.1999969482422 | 88.9000015258789 | 89 | 88.8000030517578 | 90.4000015258789 | 91.1999969482422 | 90.4000015258789 | 91.0999984741211 | 91.0999984741211 | 91 | 91.1999969482422 | 91.6999969482422 | 91.5 | 91.5 | 91.8000030517578 | 91.4000015258789 | 91 | 91 | 91.1999969482422 | 91.0999984741211
Fiji | FJI | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 54.7999992370605 |  | 58.2999992370605 | 56.5999984741211 |  | 61 | 56.4000015258789
France | FRA | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 85.4000015258789 | 85.5 | 85.6999969482422 | 84.3000030517578 | 84.1999969482422 | 85 | 85.5999984741211 | 86.0999984741211 | 86.5 | 87.1999969482422 | 87.3000030517578 | 87.5 | 87.8000030517578 | 88.8000030517578 | 89 | 89.3000030517578 | 90 | 90.1999969482422 | 90.8000030517578 | 91.0999984741211 | 91.6999969482422 | 92.0999984741211 | 92.3000030517578 | 91.9000015258789 | 92.1999969482422 | 92.5999984741211 | 92.1999969482422 | 92.5999984741211 | 92.5999984741211 | 92.6999969482422 | 92.4000015258789 | 92.1999969482422 | 92.3000030517578
Faeroe Islands | FRO | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Micronesia, Fed. [NAME]. | FSM | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Gabon | GAB | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 29.2000007629395 |  |  |  |  |  |  |  |  |  |  |  | 34.5
United Kingdom | GBR | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 96.0999984741211 | 95.5999984741211 | 95.0999984741211 | 93.8000030517578 | 93.3000030517578 | 93.0999984741211 | 93.1999969482422 | 92.3000030517578 | 92.3000030517578 | 92 | 91.8000030517578 | 92 | 91.6999969482422 | 91.8000030517578 | 91.6999969482422 | 91.9000015258789 | 92 | 91.9000015258789 | 92.0999984741211 | 92.1999969482422 | 92.0999984741211 | 92.5 | 92.4000015258789 | 92 | 92 | 92 | 91.6999969482422 | 91.5999984741211 | 91.5999984741211 | 91.1999969482422 | 90.6999969482422 | 90.5 | 90
Georgia | GEO | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 43.5 | 41.5999984741211 | 36.9000015258789 | 35 | 35.9000015258789 | 34.4000015258789 | 34.5999984741211 | 34.5 |  |  | 34.7000007629395 | 35.7999992370605 | 38.7000007629395 | 37.5 | 37.0999984741211
Ghana | GHA | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.8999996185303 |  |  |  | 11.3999996185303
Guinea | GIN | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Gambia, The | GMB | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Guinea-Bissau | GNB | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Equatorial Guinea | GNQ | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6
Greece | GRC | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 43.9000015258789 | 46.4000015258789 | 44.7000007629395 | 45.2000007629395 | 46 | 46.2000007629395 | 46.7000007629395 | 48.7999992370605 | 50.0999984741211 | 52 | 54.7000007629395 | 54.0999984741211 | 55.0999984741211 | 54.7999992370605 | 56.2000007629395 | 56.2999992370605 | 57.5999984741211 | 58.7000007629395 | 60.7000007629395 | 61 | 63.9000015258789 | 64.3000030517578 | 64.5 | 68 | 67.8000030517578 | 68 | 69 | 69 | 69.0999984741211 | 68.6999969482422 | 68.4000015258789 | 68.5
Grenada | GRD | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 83.5999984741211 |  |  |  |  | 73 |  | 75.1999969482422
Greenland | GRL | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Guatemala | GTM | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 67.8000030517578 |  |  |  | 42.9000015258789 |  | 43 |  | 35.2000007629395 | 37.2999992370605 | 39.2000007629395
Guam | GUM | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Guyana | GUY | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 52.9000015258789
High income | HIC | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 85.51090012434899 | 86.74029426359219 | 87.10391623523742 | 86.94578943405976 | 87.20501686052376 | 87.33233632457318 | 87.65018985074464 | 87.87733311242016 | 87.35954432018214 | 87.83332056429894 | 88.31046687136728 | 88.59311487959182 | 88.83764490601632 | 88.87641313704897 | 89.00281905889912 | 89.20248281800293 | 89.46862424186146 | 89.70887079160889 | 89.39839221432148 | 89.50000204393899 | 89.51562427506464
Hong Kong SAR, China | HKG | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 94.6999969482422 | 94.6999969482422 | 94.8000030517578 | 95 | 95.0999984741211 | 95.1999969482422 | 94.5999984741211 | 95 | 94.1999969482422 | 93.5 | 93.1999969482422 | 93 | 93.3000030517578 | 93.4000015258789 | 93.9000015258789 | 93.8000030517578 | 93.8000030517578 | 94.8000030517578 | 94.3000030517578 | 94.4000015258789
Honduras | HND | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 48.9000015258789 | 52.7000007629395 | 54.9000015258789 |  | 54.7000007629395 | 51.2000007629395 | 47.7999992370605 | 47.7000007629395 | 47.5999984741211 | 44.4000015258789 |  | 50.4000015258789 | 47.5999984741211 | 44.7000007629395 | 50 | 52.5999984741211 | 46.7999992370605 | 46 | 47 | 41.5999984741211 | 41.2999992370605
Heavily indebted poor countries (HIPC) | HPC | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Croatia | HRV | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 72.1999969482422 | 75 | 76.8000030517578 | 76.6999969482422 | 78 | 79.0999984741211 | 78.4000015258789 | 77.0999984741211 | 76.9000015258789 | 75.6999969482422 | 78.6999969482422 | 79.8000030517578 | 79.6999969482422 | 79.8000030517578 | 78.0999984741211 | 78.1999969482422 | 80.5
Haiti | HTI | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21.2000007629395
Hungary | HUN | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 88.9000015258789 | 90.3000030517578 | 90.4000015258789 | 90.0999984741211 | 87.3000030517578 | 87.5 | 88.3000030517578 | 88.6999969482422 | 89.5 | 89.6999969482422 | 89.9000015258789 | 90.8000030517578 | 89.6999969482422 | 90.1999969482422 | 90.9000015258789 | 90.8000030517578 | 91.4000015258789 | 90.9000015258789 | 91.1999969482422 | 91.5 | 91.1999969482422
Indonesia | IDN | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 29.2999992370605 | 28.7999992370605 | 27.6000003814697 | 28.5 | 31.3999996185303 | 32 | 30.7000007629395 |  | 31.7000007629395
Isle of Man | IMN | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 92.3000030517578
India | IND | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.19999980926514 |  |  |  |  |  | 45.7000007629395 |  |  |  |  | 10 |  |  |  |  | 14.5
Not classified | INX | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Ireland | IRL | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 85.8000030517578 | 87.3000030517578 | 86 | 89 | 88.5999984741211 | 88.8000030517578 | 88.8000030517578 | 88.5 | 89.5999984741211 | 89.3000030517578 | 89.0999984741211 | 89.9000015258789 | 90.1999969482422 | 90.3000030517578 | 90.5 | 90.4000015258789 | 90.8000030517578 | 90.9000015258789 | 91.9000015258789 | 92.4000015258789 | 92.1999969482422 | 92.1999969482422 | 92.9000015258789 | 93.3000030517578 | 92.8000030517578 | 92.5 | 92.5 | 92.4000015258789 | 92.5999984741211 | 92.5999984741211
Iran, Islamic Rep. | IRN | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 53.7000007629395 |  |  |  |  |  |  |  |  |  |  | 42.2000007629395 | 46.7999992370605
Iraq | IRQ | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Iceland | ISL | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 88 | 88.3000030517578 | 89.3000030517578 | 89.6999969482422 | 89.5999984741211 | 88.9000015258789 | 88.5 | 88.5999984741211 | 88.5999984741211 | 88.6999969482422 | 90.4000015258789 | 90.5999984741211 | 92.3000030517578 | 91.0999984741211 | 91.3000030517578 | 91.8000030517578 | 91.8000030517578 | 92.1999969482422 | 92.5999984741211 | 91.1999969482422 | 91 | 89.6999969482422
Israel | ISR | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 89.9000015258789 | 89.6999969482422 | 90.3000030517578 | 90.6999969482422 | 90.1999969482422 | 90.6999969482422 | 91.5 | 91.4000015258789 | 91.1999969482422 | 91.5999984741211 | 91.8000030517578 | 91.4000015258789 | 91.8000030517578 | 92 | 91.8000030517578 | 92 | 91.6999969482422
Italy | ITA | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 72.9000015258789 | 73.5 | 74 | 73.6999969482422 | 72.3000030517578 | 73.5999984741211 | 73.8000030517578 | 73.5999984741211 | 73.9000015258789 | 74.9000015258789 | 76.0999984741211 | 75.8000030517578 | 75.1999969482422 | 76 | 75.9000015258789 | 75.9000015258789 | 76.3000030517578 | 76.6999969482422 | 77.1999969482422 | 77.5 | 78.0999984741211 | 78.5 | 78.9000015258789 | 79.0999984741211 | 77.6999969482422 | 79.4000015258789 | 79.5 | 80 | 80.6999969482422 | 81.5 | 81.5 | 81.8000030517578 | 81.6999969482422
Jamaica | JAM | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 61.2999992370605 | 61.7000007629395 | 63.4000015258789 | 63.9000015258789 | 65.3000030517578 | 65 | 65.4000015258789 | 65.5 | 64.6999969482422 | 64.8000030517578 | 65.3000030517578 | 67.6999969482422 | 67.5 | 65.8000030517578 | 66.6999969482422 | 66.0999984741211 | 68.4000015258789 | 66.5999984741211 |  |  | 67.4000015258789 | 67
Jordan | JOR | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 91.0999984741211 | 92.6999969482422 | 92.4000015258789 | 94.0999984741211 | 94.5999984741211 | 94.3000030517578 | 94.3000030517578 | 94.8000030517578 | 95.0999984741211 | 94.6999969482422 | 94.8000030517578 | 94.9000015258789 | 95.9000015258789
Japan | JPN | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 63.2000007629395 | 64.3000030517578 | 64.5 | 65.6999969482422 | 66.5 | 67.1999969482422 | 68.0999984741211 | 68.4000015258789 | 69.3000030517578 | 70.6999969482422 | 72.3000030517578 | 74 | 75.4000015258789 | 77 | 77.8000030517578 | 78.3000030517578 | 79.3000030517578 | 79.8000030517578 | 80 | 80.4000015258789 | 81.4000015258789 | 82.5 | 83.3000030517578 | 83.8000030517578 | 84.1999969482422 | 84.6999969482422 | 85.9000015258789 | 86.4000015258789 | 87 | 87.5999984741211 | 88.1999969482422 | 88.6999969482422
Kazakhstan | KAZ | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 54.0999984741211 | 56.2999992370605 | 57.7000007629395 | 60.2000007629395 | 61.7999992370605 | 63.2999992370605 | 64.3000030517578 | 64.8000030517578 | 65 | 65.4000015258789 | 66.5 | 68.4000015258789
Kenya | [NAME] | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19.2999992370605
Kyrgyz Republic | KGZ | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 44.0999984741211 | 46.4000015258789 | 48.7000007629395 | 49.9000015258789 | 51.7000007629395
Cambodia | KHM | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.1000003814697 | 13.6000003814697 |  |  |  |  |  |  | 14 | 22.7999992370605 | 24.2999992370605 | 27.1000003814697 | 30.2999992370605
Kiribati | KIR | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
St. Kitts and Nevis | KNA | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Korea, Rep. | KOR | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 39.2000007629395 | 39 | 39.9000015258789 | 42.5999984741211 | 46.0999984741211 | 48.2000007629395 | 48 | 50.2000007629395 | 51.2000007629395 | 55.2000007629395 | 56.7999992370605 | 57.5 | 57.5 | 57.4000015258789 | 58.5 | 59.0999984741211 | 59.5 | 59.7999992370605 | 58.0999984741211 | 59.5999984741211 | 61.5 | 62.4000015258789 | 63.5 | 65.5 | 66.5999984741211 | 67.0999984741211 | 67.6999969482422 | 68.8000030517578 | 69.5999984741211 | 71.1999969482422 | 72.9000015258789 | 73.5999984741211
Kosovo | KSV | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 86.4000015258789
Kuwait | KWT | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 99.5 |  |  |  |  |  | 97.8000030517578
Latin America & Caribbean (developing only) | LAC | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 61.13649107636567 | 60.73593321057689 |  | 61.58194370033491 | 61.84702565701043 |  |  |  | 64.782914390844 | 60.39282225523613 | 62.10283388292535 | 61.86644712918599 | 60.78961465865347 | 61.68230086466604 | 62.56401730336445 | 63.42687045595942 | 63.68917393236838 | 63.54237998655281
Lao PDR | LAO | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.40000009536743 |  |  |  |  |  |  |  |  |  | 8
Lebanon | LBN | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 83.5 |  |  | 81.5999984741211 |  | 79.1999969482422
Liberia | LBR | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8 |  |  | 8.69999980926514
Libya | LBY | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
St. Lucia | LCA | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 83.6999969482422 |  | 73.5 | 71.6999969482422 | 72.3000030517578 | 68.4000015258789 | 72.3000030517578 | 72.4000015258789 | 72.4000015258789 | 70.5999984741211 | 88.6999969482422
Latin America & Caribbean (all income levels) | LCN | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 61.91110812907235 | 61.07223139683601 |  | 61.88307585531815 | 62.48279959863818 |  |  |  | 65.37103297942176 | 61.12648308119599 | 62.71926189512048 | 62.52071322232533 | 61.34099025500404 | 62.33415236086717 | 63.07731295495176 | 63.91950625402698 | 64.1783236277255 | 64.0326433225232
Latin America and the Caribbean | LCR | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Least developed countries: UN classification | LDC | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Low income | LIC | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
[NAME] | LIE | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
[NAME] | LKA | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 65.5999984741211 | 64.1999969482422 | 63.2000007629395 | 63.9000015258789 | 61.7999992370605 | 55.2000007629395 | 57.0999984741211 | 55.5 | 60.0999984741211 | 58.7999992370605 | 59 | 60.5999984741211 | 58.2000007629395 | 54.7999992370605 | 55.0999984741211 | 54.2999992370605 | 54.9000015258789 | 54.2999992370605 | 53.2000007629395 | 56.0999984741211
Lower middle income | LMC | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 44.40902332772055 |  |  |  |  | 22.77286748713626
Low & middle income | LMY | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
[NAME] | LSO | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 29.8999996185303
Lithuania | LTU | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 83.1999969482422 | 82.6999969482422 | 83.3000030517578 | 84.0999984741211 | 82.1999969482422 | 82.0999984741211 | 84.1999969482422 | 85.4000015258789 | 86.1999969482422 | 89 | 91.1999969482422 | 90.4000015258789 | 90.9000015258789 | 91.0999984741211 | 91
Luxembourg | LUX | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 85.6999969482422 | 86.4000015258789 | 87.9000015258789 | 88.0999984741211 | 88.0999984741211 | 89.0999984741211 | 89.3000030517578 | 89.5 | 89.1999969482422 | 90 | 89.4000015258789 | 88.5999984741211 | 89.5999984741211 | 92 | 91.9000015258789 | 93 | 91.5999984741211 | 92.6999969482422 | 94.0999984741211 | 94.5999984741211 | 92.9000015258789 | 93.3000030517578 | 93 | 93.5 | 93.9000015258789 | 93.5999984741211 | 93.0999984741211 | 93 | 92.5 | 91.5999984741211
Latvia | LVA | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 87.4000015258789 | 81.6999969482422 | 83.8000030517578 | 84.1999969482422 | 86.4000015258789 | 87.3000030517578 | 89.0999984741211 | 88.6999969482422 | 87.4000015258789 | 90.4000015258789 | 90.1999969482422 | 91.5999984741211 | 92.5999984741211 | 91.5 | 90.5999984741211 | 90.9000015258789 | 90.9000015258789
Macao SAR, China | MAC | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 93 | 93.8000030517578 | 94.0999984741211 | 93.0999984741211 | 92 | 92.6999969482422 | 93.5 | 93 | 92.4000015258789 | 93.5 | 93.8000030517578 | 94.5999984741211 | 95.1999969482422 | 95.1999969482422 | 95.5 | 95.5
St. Martin (French part) | MAF | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Morocco | MAR | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 52.7000007629395 |  |  |  | 30.3999996185303 | 28.2999992370605 |  |  | 33.4000015258789 | 33.5999984741211 | 31.3999996185303 | 31.6000003814697 | 33.4000015258789 | 34.0999984741211 | 34
Mexico and Central America | MCA | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Monaco | MCO | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Moldova | MDA | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 65.8000030517578 | 61.9000015258789 | 59 | 58.9000015258789 | 65 | 64.5999984741211 | 64.0999984741211 | 68.8000030517578 | 69.6999969482422 | 71 | 74.6999969482422 | 75.1999969482422 | 75 | 75.0999984741211
Madagascar | MDG | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.5 |  |  |  |  |  |  |  |  |  | 12 |  | 10.8000001907349
Maldives | MDV | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 37.0999984741211 |  |  |  |  | 43.9000015258789 |  |  |  |  | 28.7999992370605 |  |  |  |  |  | 45
Middle East & North Africa (all income levels) | MEA | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Mexico | MEX | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 79.5999984741211 | 61.5999984741211 | 60.7000007629395 | 58.4000015258789 | 57.4000015258789 | 59.0999984741211 | 60.9000015258789 | 58.5999984741211 | 61.5 | 62 | 64.5999984741211 | 64.3000030517578 | 63.2000007629395 | 63.0999984741211 | 62.7000007629395 | 64.5 | 65.3000030517578 | 65.0999984741211 | 65.0999984741211 | 65.5999984741211 | 64.5 | 65.1999969482422
Marshall Islands | MHL | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 67.6999969482422
Middle income | MIC | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Macedonia, FYR | MKD | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 80.0999984741211 | 77.6999969482422 | 75.6999969482422 | 69.8000030517578 | 71.5 | 74.1999969482422 | 80.5 | 75.9000015258789 | 74.5 | 76.9000015258789 | 74.9000015258789 | 76.4000015258789 | 75.1999969482422 | 75.8000030517578 | 76.5
[NAME] | MLI | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.3999996185303 |  | 6.19999980926514 | 3.59999990463257
Malta | MLT | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 94.5 | 95 | 94.8000030517578 | 91.4000015258789 | 94.1999969482422 | 93.9000015258789 | 94.1999969482422 | 92.8000030517578 | 93.8000030517578 | 93.0999984741211 | 93.9000015258789 | 93.6999969482422 | 93.3000030517578
Myanmar | MMR | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Middle East & North Africa (developing only) | MNA | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 47.49208186699667
Montenegro | MNE | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 85.4000015258789 |  | 83 | 85.6999969482422 | 89.0999984741211 | 89.4000015258789 | 88.6999969482422 | 87.6999969482422
Mongolia | MNG | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 43.5999984741211 |  |  | 41.9000015258789 |  |  |  | 40.7999992370605 | 44.0999984741211 | 44.7000007629395 | 46.7999992370605 | 46.5
Northern Mariana Islands | MNP | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Mozambique | MOZ | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3
Mauritania | MRT | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
[NAME] | MUS | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 91.0999984741211 |  |  |  |  | 85.5 |  |  |  |  | 90.9000015258789 |  |  |  | 84.9000015258789 | 84.0999984741211 | 83.9000015258789 | 83.1999969482422 | 83.8000030517578 | 84.0999984741211 | 83.8000030517578 | 85.5 | 83.4000015258789
[NAME] | MWI | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.90000009536743
Malaysia | MYS | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 70.8000030517578 |  |  |  | 72.9000015258789 | 71.8000030517578 | 73.9000015258789 | 74.9000015258789 | 75.5 | 76.4000015258789 | 76.8000030517578 | 77.3000030517578 | 77.5 | 76.6999969482422 | 78.5 | 78.0999984741211 | 77.3000030517578 | 78.9000015258789 | 78.3000030517578 | 78.4000015258789 | 79.8000030517578 | 77
North America | NAC | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 92.86234244397559 | 93.19884872845454 | 93.13676437216586 | 92.46274786221684 | 92.64485160379681 | 92.57353328423154 | 92.68065782592683 | 92.9436791864406 | 93.14805051940432 | 93.29095612360234 | 93.40039604795413 | 93.53533805933722 | 93.36406829071677 | 93.37073847688208 | 93.53174708924368 | 93.45080078784872 | 93.61061302253371 | 93.80349255666725 | 94.00733211438359 | 94.12493555689674 | 94.22242124441051
Namibia | NAM | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 43.4000015258789 |  |  | 52.5999984741211 |  |  | 56.0999984741211 | 54.9000015258789 |  |  | 68.8000030517578 |  |  |  | 80.3000030517578 |  | 56.7999992370605 | 62 | 56
New Caledonia | NCL | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 89.0999984741211
[NAME] | NER | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.90000009536743
Nigeria | NGA | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Nicaragua | NIC | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 51.2999992370605 |  | 56.9000015258789 | 57.7999992370605 | 57.9000015258789 | 56.2999992370605 | 57.2999992370605 | 51.7999992370605 |  |  | 48.4000015258789 | 50.7000007629395 | 50.7000007629395 | 51.7999992370605 | 53.2000007629395 | 52 |  | 41.5
Netherlands | NLD | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 88.3000030517578 |  | 89.5999984741211 |  | 86 | 87.6999969482422 | 87.8000030517578 | 86.5999984741211 | 88.4000015258789 | 90 | 89.8000030517578 | 89 | 88.6999969482422 | 89.6999969482422 | 89.5999984741211 | 90.4000015258789 | 90.1999969482422 | 90.1999969482422 | 90.1999969482422 | 90.5 | 91.4000015258789 | 90.4000015258789 | 90.3000030517578 | 90.0999984741211 | 90 | 89.9000015258789 | 89.5 | 88.5 | 88.5 | 88.3000030517578
High income: nonOECD | NOC | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 94.29143127985392 | 94.52648473972033 | 94.32617299255544 | 94.28258248672392 | 93.86566613377538 | 95.0764487325772 | 94.74470459234189 | 88.82748162288851 | 89.78791462591288 | 91.50545801931762 | 91.65535365776067 | 92.290131671636 | 92.3899201523439 | 91.98128085586687 | 92.27477354777555 | 92.54421751702174 | 92.62603388243136
Norway | NOR | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 89.5 | 89.8000030517578 | 90.3000030517578 | 91.0999984741211 | 91.1999969482422 | 92 | 91.0999984741211 | 92.1999969482422 | 91.5999984741211 | 92.3000030517578 | 92.5 | 93.1999969482422 | 93.4000015258789 | 93.3000030517578 | 93.5999984741211 | 93.4000015258789 | 94.1999969482422 | 94.8000030517578 | 94.5999984741211 | 95 | 95.0999984741211 | 94.5999984741211 | 95.4000015258789 | 95.1999969482422 | 95.5999984741211 | 95.4000015258789 | 95.0999984741211 | 95.4000015258789 | 95.5 | 95.0999984741211 | 95.5999984741211 | 96 | 95.9000015258789
Nepal | NPL | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.8000001907349
New Zealand | NZL | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 91.5 |  |  |  |  | 87.3000030517578 | 87.3000030517578 | 87 | 86.5999984741211 | 86.5 | 85.1999969482422 | 84.8000030517578 | 84.8000030517578 | 84.4000015258789 | 84.3000030517578 | 84.9000015258789 | 85.9000015258789 | 85.6999969482422 | 85.1999969482422 | 85.1999969482422 | 86.0999984741211 | 86.8000030517578 | 86.9000015258789 | 86.5 | 86.6999969482422 | 87.5 | 87.3000030517578 | 87.4000015258789 | 88.1999969482422 | 88 | 87.5
High income: OECD | OEC | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 85.47709076582365 | 85.16416581384209 | 85.59870729720855 | 85.56919519646522 | 85.94631707456018 | 86.12946019543392 | 86.34855951003438 | 86.66927586838607 | 87.08522062012025 | 87.46945625617079 | 87.70654252904208 | 87.99754491125327 | 88.16134171841172 | 88.19399473356118 | 88.42095237645768 | 88.60431487457673 | 88.86664158551852 | 89.13582921281244 | 89.40243962742858 | 89.51511331112711 | 89.47668790820535
OECD members | OED | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 82.11705762480457 | 82.08797742058766 | 82.73159720574779 | 82.31924420437038 | 82.75714770170006 | 82.97546415879056 | 83.15792638081369 | 83.57309947093533 | 83.9116118824355 | 84.71630852849326 | 84.84341772299173 | 85.06824691713528 | 85.31198123840636 | 85.39088925953749 | 85.78901739744457 | 86.12268155933977 | 86.35913892804737 | 86.56593355842625 | 86.73707800369364 | 86.6079037905256 | 86.57716735902295
Oman | OMN | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 91.3000030517578 |  |  | 92 |  |  |  | 87.8000030517578 |  |  |  |  |  |  |  |  |  | 95.3000030517578
Other small states | OSS | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Pakistan | PAK | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 24.7999992370605 | 24.7999992370605 | 33.0999984741211 | 24.8999996185303 | 24.8999996185303 | 33.0999984741211 | 33.0999984741211 | 37.0999984741211 | 37.0999984741211 | 31.2000007629395 | 31.2000007629395 | 25.7000007629395 | 24.6000003814697 | 22.1000003814697 |  |  | 20.9 |  | 24.4
Panama | PAN | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 83.4000015258789 | 84.6999969482422 | 84.3000030517578 | 83.1999969482422 | 84.3000030517578 | 81.5999984741211 | 78.0999984741211 | 80.0999984741211 |  |  | 83.5 | 84 | 83 | 80.4000015258789 | 79.9000015258789 | 79 | 77.3000030517578 | 77 | 79.3000030517578 | 79.3000030517578 | 75.1999969482422 | 74.9000015258789 | 74.8000030517578 | 71.9000015258789 | 72.4000015258789 | 74.5999984741211 | 73.0999984741211 | 67 | 69.8000030517578 | 73.9000015258789 | 71.3000030517578
Peru | PER | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 52.7999992370605 | 55.2000007629395 | 52.7999992370605 | 54.7000007629395 | 52.9000015258789 | 53.5999984741211 | 36.0999984741211 | 32.7000007629395 | 36.2000007629395 | 35.7000007629395 | 32.5999984741211 | 33.2000007629395 | 61 | 58.4000015258789 | 35.5 | 36.5 | 37.9000015258789 | 39.5 | 40.2000007629395 | 40.2999992370605 | 40.9000015258789 | 42.2999992370605 | 43.5999984741211
Philippines | PHL | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 49.2000007629395 | 48.7999992370605 | 50.7999992370605 | 48.5999984741211 | 47.9000015258789 | 49.2999992370605 | 51 | 49.9000015258789 | 50.4000015258789 | 51.2999992370605 | 51.4000015258789
Palau | PLW | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
[NAME] | PNG | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Poland | POL | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 71 | 70.0999984741211 | 70.8000030517578 | 72.3000030517578 | 72.5 | 73.1999969482422 | 74.5999984741211 | 75.9000015258789 | 75 | 74.1999969482422 | 74.5999984741211 | 76.3000030517578 | 76.1999969482422 | 76.9000015258789 | 78.1999969482422 | 79.0999984741211 | 79.5999984741211 | 79.9000015258789 | 80.0999984741211 | 80.4000015258789 | 80.8000030517578
Puerto Rico | PRI | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 91.8000030517578 | 92.1999969482422 | 92.5 | 93 | 92.3000030517578 | 92.1999969482422 | 92.1999969482422 | 92.3000030517578 | 92.5 | 92.6999969482422 | 92.9000015258789 | 91.6999969482422 | 92.4000015258789 | 91.8000030517578 | 92 | 91.4000015258789 | 90.8000030517578 | 92 | 92.3000030517578 | 91.9000015258789 | 92.3000030517578 | 91.1999969482422
Korea, Dem. Rep. | PRK | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Portugal | PRT | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 66.1999969482422 | 64.9000015258789 | 67.0999984741211 | 68.5 | 69.9000015258789 | 67.9000015258789 | 75.8000030517578 | 75 | 74.1999969482422 | 74.5 | 73.6999969482422 | 72.9000015258789 | 72.1999969482422 | 73.1999969482422 | 74 | 73.9000015258789 | 74.5 | 74.4000015258789 | 76.4000015258789 | 76.0999984741211 | 77 | 77.3000030517578 | 77.5999984741211 | 78.8000030517578 | 79.9000015258789 | 83 | 82.5
Paraguay | PRY | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 66.8000030517578 | 65.9000015258789 | 68.6999969482422 | 68 | 59.7000007629395 |  | 54.7999992370605 | 47.4000015258789 | 47.0999984741211 | 47.2999992370605 |  | 45.0999984741211 | 44.7000007629395 | 45.4000015258789 | 42.9000015258789 | 48.7000007629395 | 46.7999992370605 | 46.7999992370605 | 49.2000007629395 | 47.5999984741211 | 50.4000015258789 | 51.7000007629395 | 48.5
Pacific island small states | PSS | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
French Polynesia | PYF | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 81.3000030517578 |  |  |  |  |  | 83.5999984741211 |  |  |  |  | 87.5999984741211
Qatar | QAT | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 99.9000015258789 |  |  |  |  |  |  | 99.9000015258789 |  | 99.3000030517578 | 99.9000015258789 | 99.9000015258789 | 99.8000030517578 |  | 99.5 | 99.5999984741211
Romania | [NAME] | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 63.2999992370605 | 57.4000015258789 | 57.7000007629395 | 56 | 53.5 | 57.2000007629395 | 54.5999984741211 | 53.7999992370605 | 52.4000015258789 | 51.5 | 51.5 | 58.5999984741211 | 59.0999984741211 | 65.8000030517578 | 65.1999969482422 | 67.0999984741211 | 66.5999984741211 | 67.5999984741211 | 67.5 | 66.4000015258789 | 67.4000015258789 | 67.4000015258789
Russian Federation | RUS | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 94.4000015258789 | 94.6999969482422 | 94.5 | 94.4000015258789 | 94.6999969482422 | 96.0999984741211 | 96.3000030517578 | 89.3000030517578 | 90.3000030517578 | 92.3000030517578 | 92.5999984741211 | 93.3000030517578 | 93.0999984741211 | 92.6999969482422 | 93.0999984741211 | 93.3000030517578 | 93.3000030517578
Rwanda | RWA | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.29999995231628
South Asia | SAS | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9.203487959402258 |  |  |  |  |  | 39.60198989230084 |  |  |  |  | 11.95635517157086 |  |  |  |  | 15.3963025438333
Saudi Arabia | SAU | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 98
[NAME] | SCE | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Sudan | SDN | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Senegal | SEN | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.5 |  |  |  |  |  |  |  |  |  | 15.1000003814697
Singapore | SGP | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 89.8000030517578 | 89.3000030517578 | 91.0999984741211 | 91.3000030517578 |  | 91.4000015258789 | 91.4000015258789 | 91.9000015258789 | 91.4000015258789 |  | 91 | 91.8000030517578 | 91.6999969482422 | 90.5 |  | 90.5999984741211 | 90.5999984741211 | 90.5 | 90.4000015258789 |  | 89.9000015258789 | 89.9000015258789 | 90.0999984741211 | 90 | 90.4000015258789 | 89.5999984741211 | 89.1999969482422
Solomon Islands | SLB | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Sierra Leone | SLE | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.70000004768372
El Salvador | SLV | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 49.7999992370605 | 50.4000015258789 | 41.5 | 39.7000007629395 | 40.7000007629395 | 53.5 | 54.2000007629395 | 41.2000007629395 | 40 | 40.7999992370605 | 42.2999992370605 | 41.2999992370605 | 40.5 | 42.5 | 52.5 | 52.0999984741211 | 43.2999992370605 | 51.0999984741211 | 51.7000007629395 | 51.5999984741211
[NAME] | SMR | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 82.5999984741211 | 83.5 | 84.3000030517578 | 85.4000015258789 | 86.4000015258789 |  | 90.8000030517578 | 91 | 91.1999969482422 | 91.9000015258789 | 91.9000015258789 | 92.3000030517578 | 92.9000015258789 | 93.1999969482422
Somalia | SOM | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Serbia | SRB | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 74 | 73.9000015258789 | 77.5999984741211 | 76.8000030517578 | 67.9000015258789 | 70.8000030517578 | 71.0999984741211 | 73.5999984741211 | 73.9000015258789
Sub-Saharan Africa (developing only) | SSA | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
South Sudan | SSD | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Sub-Saharan Africa (all income levels) | SSF | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Small states | SST | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Sao Tome and Principe | STP | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 68.9000015258789
Suriname | SUR | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 84.6999969482422 | 85.9000015258789 | 83.3000030517578 | 86.8000030517578
Slovak Republic | SVK | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 96.5999984741211 | 96.1999969482422 | 96.5 | 96.0999984741211 | 96 | 95.4000015258789 | 95.4000015258789 | 94.9000015258789 | 95.4000015258789 | 94.0999984741211 | 92.3000030517578 | 92.4000015258789 | 92 | 91.9000015258789 | 91.8000030517578 | 90.1999969482422 | 90.5999984741211 | 90.3000030517578 | 90.0999984741211
Slovenia | SVN | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 87.8000030517578 | 85.4000015258789 | 85.8000030517578 | 86.6999969482422 | 83.5999984741211 | 84 | 84.5999984741211 | 86.9000015258789 | 86.0999984741211 | 87 | 89 | 86.9000015258789 | 87.3000030517578 | 86.6999969482422 | 86.8000030517578 | 88.6999969482422 | 87.1999969482422 | 86 | 86.5999984741211 | 87.1999969482422
Sweden | SWE | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 95.0999984741211 | 95.0999984741211 | 95 | 95.0999984741211 | 95.3000030517578 | 95.3000030517578 | 95.4000015258789 | 94.5999984741211 | 94.6999969482422 | 94.5999984741211 | 94.8000030517578 | 94.9000015258789 | 94.9000015258789 | 94.1999969482422 | 93.6999969482422 | 93.0999984741211 | 93.3000030517578 | 93.4000015258789 | 93.4000015258789 | 93.5999984741211 | 94.0999984741211 | 94.1999969482422 | 94.3000030517578 | 94.5999984741211 | 94.4000015258789 | 94.3000030517578 | 94.1999969482422 | 94.1999969482422 | 94.0999984741211 | 93.8000030517578 | 93.5999984741211 | 94 | 94.0999984741211
Swaziland | SWZ | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 67.4000015258789
Sint Maarten (Dutch part) | SXM | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Seychelles | SYC | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 85.9000015258789
Syrian Arab Republic | SYR | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46.5999984741211 |  |  |  |  | 69.5 | 68.9000015258789 | 71.9000015258789 | 78.3000030517578 | 75.9000015258789 | 83
Turks and Caicos Islands | TCA | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 92 | 93.0999984741211 | 94.0999984741211 | 96.0999984741211 | 96.0999984741211
Chad | TCD | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.800000011920929
Togo | TGO | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.69999980926514
Thailand | THA | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 25.3999996185303 | 24.5 | 24.5 | 25.6000003814697 | 28 | 28.2000007629395 | 31.3999996185303 | 31.7000007629395 | 32.4000015258789 | 34.2000007629395 | 35.2000007629395 | 35.2999992370605 | 37.5 | 38.7999992370605 | 39.9000015258789 | 39.2999992370605 | 40.2000007629395 | 42.9000015258789 | 42.7000007629395 | 42.9000015258789 | 42.4000015258789 | 42.5999984741211 | 43.4000015258789 | 43.2000007629395 | 43 | 42.5999984741211
Tajikistan | TJK | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 47.5999984741211 |  |  |  |  |  | 58.5
Turkmenistan | TKM | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Timor-Leste | TLS | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19.8999996185303
Tonga | TON | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 40.2000007629395 |  |  |  |  |  |  | 41.0999984741211
Trinidad and Tobago | TTO | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 73.5999984741211 | 73.3000030517578 | 74.6999969482422 | 77.3000030517578 | 77.0999984741211 | 77 | 76.1999969482422 | 75.9000015258789 | 77.0999984741211 | 78.5 | 77.5999984741211 | 80.0999984741211 | 79.4000015258789 | 80.0999984741211 | 80 | 82.4000015258789 | 82.5999984741211 | 84 | 83
Tunisia | TUN | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 58.5999984741211 |  |  |  |  | 69.0999984741211 |  |  |  |  |  |  |  |  |  |  | 71.8000030517578 |  | 74.9000015258789 | 75.8000030517578 |  | 73.9000015258789 | 79.4000015258789
Turkey | TUR | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 22.7000007629395 | 20.7000007629395 | 21.6000003814697 | 20.1000003814697 | 23.2999992370605 | 27.7000007629395 | 25.3999996185303 | 26 | 26.3999996185303 | 30 | 30.7999992370605 | 29.2999992370605 | 35.2999992370605 | 33.2000007629395 | 37 | 38.0999984741211 | 39.2999992370605 | 43.7999992370605 | 50.7999992370605 | 52.4000015258789 | 53.0999984741211 | 51.0999984741211 | 50.7000007629395 | 51.5999984741211 | 54.2999992370605
Tuvalu | TUV | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 97.5
Tanzania | TZA | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.19999980926514 |  |  |  |  |  |  |  |  |  | 4 | 5.90000009536743 |  |  |  | 6.09999990463257 | 6
Uganda | UGA | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.19999980926514 | 7.5
Ukraine | UKR | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 88.3000030517578 | 87.1999969482422 | 81 | 80.0999984741211 | 90.9000015258789 | 89.1999969482422 | 88.9000015258789 | 87.4000015258789 | 87.3000030517578 | 83.8000030517578 | 80.5999984741211 | 80 | 79.5 | 80.6999969482422 | 80.9000015258789 |  | 79.9000015258789 | 80.5
Upper middle income | UMC | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Uruguay | URY | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 77 | 76.5999984741211 | 77.4000015258789 | 75.8000030517578 | 71.1999969482422 | 76.4000015258789 |  | 76 | 73.1999969482422 | 72.6999969482422 | 69.4000015258789 | 69.9000015258789 | 75.6999969482422
United States | USA | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 93.3000030517578 | 93.1999969482422 | 93 | 92.9000015258789 | 93 | 93.1999969482422 | 93.5 | 93.4000015258789 | 93.1999969482422 | 93.1999969482422 | 93.3000030517578 | 93.1999969482422 | 93.5999984741211 | 93.5999984741211 | 92.9000015258789 | 93.0999984741211 | 93.0999984741211 | 93.3000030517578 | 93.5999984741211 | 93.8000030517578 | 93.9000015258789 | 93.9000015258789 | 94.0999984741211 | 93.9000015258789 | 93.9000015258789 | 94.0999984741211 | 94 | 94.1999969482422 | 94.4000015258789 | 94.3000030517578 | 94.4000015258789 | 94.5
Uzbekistan | UZB | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
St. Vincent and the Grenadines | VCT | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 82.3000030517578 |  |  |  |  |  |  |  |  |  |  | 79.3000030517578 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 79.0999984741211
Venezuela, RB | VEN | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 70.6999969482422 | 67.9000015258789 | 65.1999969482422 | 65.6999969482422 | 59.5 | 59 | 58.0999984741211 | 57 | 58.2000007629395 | 58 | 61.7999992370605 | 63 | 64.9000015258789 | 65.1999969482422 | 65.5999984741211 | 60.9000015258789 | 60.2999992370605 | 61.0999984741211 | 62.2000007629395
Virgin Islands (U.S.) | VIR | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Vietnam | VNM | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.5 | 15 | 17.7999992370605 | 15.1999998092651 | 15.1000003814697 | 17.1000003814697 | 16.8999996185303 | 17.8999996185303 | 21.2000007629395 |  |  |  |  |  |  |  | 29
[NAME] | VUT | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 22.7000007629395
West Bank and Gaza | PSE | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 58 | 57.7999992370605 | 58.9000015258789 | 56.7999992370605 | 55.9000015258789 | 64.1999969482422 | 61.0999984741211 | 54.9000015258789 | 56.7000007629395 | 56.5 | 55 | 52.2000007629395 | 61.0999984741211 | 67.0999984741211 | 67.0999984741211 | 67 | 63.2000007629395
World | WLD | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Samoa | WSM | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 59.0999984741211 |  |  |  |  | 60 |  | 81.1999969482422 |  |  | 74.5999984741211
Yemen, Rep. | YEM | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.8000001907349 |  |  |  |  | 53.7000007629395 | 36 |  |  |  |  | 57.7999992370605
South Africa | ZAF | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 81.0999984741211 | 80 |  |  | 80.8000030517578 | 84.1999969482422 | 85.0999984741211 | 85.5999984741211 | 86
Congo, Dem. Rep. | COD | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS
Zambia | ZMB | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 26.7999992370605 |  |  |  |  |  |  |  |  |  | 14.6000003814697 | 11.8000001907349 |  |  |  |  | 9 |  | 8.60000038146973 |  | 9
Zimbabwe | ZWE | Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 18.2000007629395 |  |  | 22.2999992370605 |  | 23.1000003814697 |  |  | 23.1000003814697