Spreadsheet: 76ef38f8-51aa-40c7-a465-891c586c089f
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, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Andorra | AND | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Afghanistan | AFG | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9.5 | 9.39999961853027 | 9.30000019073486 | 9.19999980926514 | 9.10000038146973 | 9 | 8.80000019073486 | 8.69999980926514 | 8.69999980926514 | 7.80000019073486 | 7.80000019073486 | 7.80000019073486 | 7.90000009536743 | 8 | 8.80000019073486 | 8.89999961853027 | 9.10000038146973 | 9.19999980926514 | 9.39999961853027 | 9.69999980926514 | 9.80000019073486 | 9.69999980926514
Angola | AGO | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 45.2000007629395 | 45.4000015258789 | 46.2999992370605 | 47.4000015258789 | 47.5 | 47.2999992370605 | 46.4000015258789 | 46 | 46.0999984741211 | 46.0999984741211 | 46.0999984741211 | 45.9000015258789 | 45.4000015258789 | 45.2999992370605 | 44.7000007629395 | 43.9000015258789 | 43 | 42.2999992370605 | 42.5 | 43 | 43.0999984741211 | 43.2000007629395
Albania | ALB | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.5 | 38.5999984741211 | 35.4000015258789 | 35.0999984741211 | 34.4000015258789 | 35.7000007629395 | 34.5999984741211 | 35.7999992370605 | 34.5999984741211 | 36.7000007629395 | 33.7999992370605 | 35.9000015258789 | 35.5999984741211 | 32.9000015258789 | 30.6000003814697 | 27.7000007629395 | 26.2000007629395 | 22.2000007629395 | 20.7999992370605 | 21.7999992370605 | 22.1000003814697 | 22.5
Andean Region | ANR | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Arab World | ARB | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.10815456188856 | 11.88248979884154 | 11.59377382392508 | 11.78342198937891 | 11.83082420443737 | 12.11185208162872 | 12.25463505098026 | 12.1948880400405 | 13.09855837670142 | 11.84052736443421 | 10.80555069967229 | 11.80263021766048 | 12.03905707887992 | 11.90856882952556 | 11.16612898638558 | 11.15264881661898 | 11.23130155131108 | 11.12253542956322 | 10.70956838814492 | 10.70546863993376 | 10.43138409340922 | 10.48497868699295
United Arab Emirates | ARE | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 15.1999998092651 | 16.2000007629395 | 17.2999992370605 | 19 | 20.8999996185303 | 17.6000003814697 | 19.7999992370605 | 20.2999992370605 | 20.7000007629395 | 21 | 21.2000007629395 | 21.2999992370605 | 21.7000007629395 | 22.2999992370605 | 23.2999992370605 | 24.6000003814697 | 25.8999996185303 | 24.7999992370605 | 25.7999992370605 | 26.7999992370605 | 26.7999992370605 | 27
Argentina | ARG | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 36.7999992370605 | 36.4000015258789 | 29.8999996185303 | 30.3999996185303 | 25.5 | 25.7000007629395 | 26.5 | 27.3999996185303 | 26.7000007629395 | 23.2999992370605 | 23.7999992370605 | 22.1000003814697 | 21.1000003814697 | 25.2999992370605 | 25.5 | 25.3999996185303 | 27 | 27.3999996185303 | 25.7999992370605 | 24 | 24.5 | 25
Armenia | ARM | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 25.7999992370605 | 24.8999996185303 | 24.3999996185303 | 21.3999996185303 | 20.8999996185303 | 22.8999996185303 | 25 | 17.5 | 25.1000003814697 | 19.7000007629395 | 20.7999992370605 | 15.3000001907349 | 13.3999996185303 | 17.6000003814697 | 12 | 16.1000003814697 | 9.5 | 10.1999998092651 | 15 | 14.8999996185303 | 16.2000007629395 | 16.2000007629395
American Samoa | ASM | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
[NAME] and [NAME] | ATG | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Australia | AUS | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 55.7999992370605 | 54.5 | 54.0999984741211 | 57 | 59.5 | 59.2000007629395 | 57.7000007629395 | 58.7000007629395 | 59.7999992370605 | 61.2000007629395 | 60.5999984741211 | 60.2999992370605 | 61.2000007629395 | 61.5999984741211 | 62.2999992370605 | 62.9000015258789 | 63.4000015258789 | 63.7000007629395 | 60.7999992370605 | 59.7999992370605 | 60.2999992370605 | 59.4000015258789
Austria | AUT | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 58.5 | 59.2000007629395 | 55.5 | 56.2000007629395 | 53.2999992370605 | 51.9000015258789 | 50.7999992370605 | 50.2999992370605 | 49 | 47.9000015258789 | 47 | 47.2000007629395 | 46.5 | 48 | 49.5 | 50.2000007629395 | 51.7999992370605 | 52.4000015258789 | 51.7000007629395 | 49.2999992370605 | 50 | 50.4000015258789
Azerbaijan | AZE | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 39.4000015258789 | 42.0999984741211 | 43.2999992370605 | 43.0999984741211 | 42.4000015258789 | 41.0999984741211 | 40.7999992370605 | 41.2000007629395 | 42.7999992370605 | 39.7000007629395 | 38.4000015258789 | 36.9000015258789 | 37.0999984741211 | 35.5999984741211 | 34.5999984741211 | 31.7000007629395 | 32.5999984741211 | 31.6000003814697 | 32.0999984741211 | 35.9000015258789 | 35.4000015258789 | 35.9000015258789
Burundi | BDI | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 72.1999969482422 | 70.8000030517578 | 69.1999969482422 | 68.0999984741211 | 66.5999984741211 | 65.4000015258789 | 64.5 | 63.4000015258789 | 63 | 62.7999992370605 | 62.5999984741211 | 62.2000007629395 | 61.7999992370605 | 61.4000015258789 | 61 | 60.5999984741211 | 60.2000007629395 | 59.7999992370605 | 59.4000015258789 | 59.2000007629395 | 59.0999984741211 | 58.7999992370605
Belgium | BEL | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 29.1000003814697 | 29.8999996185303 | 25.7999992370605 | 24.7999992370605 | 23.8999996185303 | 22.6000003814697 | 22 | 23 | 23.6000003814697 | 26.7999992370605 | 24.7999992370605 | 26.1000003814697 | 24.2999992370605 | 25.1000003814697 | 25.1000003814697 | 24.7999992370605 | 25.2000007629395 | 25.1000003814697 | 23.2000007629395 | 22.8999996185303 | 23.8999996185303 | 22.2999992370605
Benin | [NAME] | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 54.5 | 54.5999984741211 | 54.9000015258789 | 55.2000007629395 | 55.5999984741211 | 55.9000015258789 | 56 | 56 | 56.5999984741211 | 57 | 57.5 | 57.9000015258789 | 57.2000007629395 | 57.5 | 57.4000015258789 | 56.4000015258789 | 56.4000015258789 | 56.4000015258789 | 56.5 | 56 | 56 | 56.2000007629395
[NAME] | BFA | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 71.9000015258789 | 72.0999984741211 | 71.3000030517578 | 71.6999969482422 | 71.6999969482422 | 71.5999984741211 | 71.6999969482422 | 71.5 | 71.5 | 70.8000030517578 | 71.3000030517578 | 70.6999969482422 | 70.8000030517578 | 70.6999969482422 | 70.6999969482422 | 71 | 70 | 69.9000015258789 | 69.8000030517578 | 69.8000030517578 | 69.5 | 69.4000015258789
Bangladesh | BGD | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 54.9000015258789 | 54 | 53.5999984741211 | 53.0999984741211 | 52.5999984741211 | 52.5 | 50.7000007629395 | 50.7999992370605 | 48.5999984741211 | 47.2000007629395 | 47.2999992370605 | 47.5 | 48.7000007629395 | 47.5999984741211 | 45.5 | 46 | 45.7000007629395 | 45.5 | 44.5 | 46.2999992370605 | 46.2999992370605 | 46
Bulgaria | BGR | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 33.2999992370605 | 37.0999984741211 | 28 | 27.2999992370605 | 28.7999992370605 | 28.2000007629395 | 25.7000007629395 | 24.2999992370605 | 20.8999996185303 | 18.2999992370605 | 21.6000003814697 | 20.6000003814697 | 20.6000003814697 | 21 | 21 | 23 | 24 | 25.5 | 23.7999992370605 | 21 | 18.8999996185303 | 18.3999996185303
Bahrain | BHR | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 15.6000003814697 | 16.6000003814697 | 17 | 17.5 | 17.8999996185303 | 18.2000007629395 | 17.7999992370605 | 18.1000003814697 | 18.7000007629395 | 18.6000003814697 | 19.2999992370605 | 19.6000003814697 | 20 | 20.2000007629395 | 20.3999996185303 | 20.7999992370605 | 21.2000007629395 | 21.6000003814697 | 21.8999996185303 | 22 | 21.8999996185303 | 21.2999992370605
Bahamas, The | BHS | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 39.4000015258789 | 36 | 38.0999984741211 | 37.2999992370605 | 39.7999992370605 | 36.7000007629395 | 37.2999992370605 | 41.0999984741211 | 40.5 | 40.9000015258789 | 42.5999984741211 | 40.4000015258789 | 36.9000015258789 | 38 | 39.7000007629395 | 42.7999992370605 | 41.2999992370605 | 40.9000015258789 | 33.5999984741211 | 33.7999992370605 | 34.5999984741211 | 35.4000015258789
Bosnia and Herzegovina | BIH | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.1000003814697 | 11.6999998092651 | 11 | 9.80000019073486 | 11.3000001907349 | 10.8000001907349 | 9.69999980926514 | 10.1000003814697 | 10.5 | 10.8999996185303 | 9.60000038146973 | 11.1999998092651 | 10.5 | 9.5 | 10.3999996185303 | 9.10000038146973 | 9.5 | 12.1000003814697 | 11.3999996185303 | 9.69999980926514 | 10.3999996185303 | 10.3000001907349
Belarus | BLR | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 39.4000015258789 | 38.9000015258789 | 38 | 37.4000015258789 | 36.4000015258789 | 34.7999992370605 | 33.5 | 32.5 | 31.6000003814697 | 30.5 | 29.7000007629395 | 28.7999992370605 | 28.1000003814697 | 27.2999992370605 | 26.7999992370605 | 26.2000007629395 | 25.7999992370605 | 25.2999992370605 | 25 | 25.5 | 26 | 26.5
Belize | BLZ | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 26.6000003814697 | 25.7999992370605 | 26.2000007629395 | 24.3999996185303 | 23.5 | 23.1000003814697 | 21.8999996185303 | 22.1000003814697 | 23 | 25.6000003814697 | 27.7999992370605 | 27.3999996185303 | 27.6000003814697 | 27.7999992370605 | 27.7000007629395 | 29.8999996185303 | 31.3999996185303 | 32.0999984741211 | 32.5 | 33 | 32.9000015258789 | 33.2999992370605
Bermuda | BMU | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Bolivia | BOL | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 39.2999992370605 | 38.7999992370605 | 39.7000007629395 | 39.7000007629395 | 40 | 40.9000015258789 | 41.7999992370605 | 42 | 42.4000015258789 | 41.9000015258789 | 41.9000015258789 | 41.2000007629395 | 42.0999984741211 | 43.0999984741211 | 42.2000007629395 | 42.4000015258789 | 43.0999984741211 | 45.4000015258789 | 45.2000007629395 | 45.5 | 45.7999992370605 | 46
Brazil | BRA | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 37.7999992370605 | 45 | 44.7999992370605 | 44.7999992370605 | 44.7000007629395 | 42.2000007629395 | 41.5999984741211 | 39.7000007629395 | 40.2000007629395 | 39.9000015258789 | 39.7000007629395 | 40.7999992370605 | 39.9000015258789 | 41.7999992370605 | 42.2000007629395 | 42.4000015258789 | 43 | 43.5999984741211 | 41.9000015258789 | 42.5999984741211 | 44.0999984741211 | 43.9000015258789
Barbados | BRB | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 39 | 31.2999992370605 | 30.3999996185303 | 28.1000003814697 | 33.9000015258789 | 41.7000007629395 | 37.5999984741211 | 40.7999992370605 | 42 | 44.5 | 41.7000007629395 | 40.2000007629395 | 37.7000007629395 | 38.0999984741211 | 39.2000007629395 | 39.7999992370605 | 41.5999984741211 | 40.7000007629395 | 38.4000015258789 | 37.5 | 37.0999984741211 | 36.9000015258789
[NAME] | BRN | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 32.5999984741211 | 33.2000007629395 | 33.7999992370605 | 33.2000007629395 | 34 | 35 | 36.7000007629395 | 37.7999992370605 | 37.9000015258789 | 38.7999992370605 | 39.2999992370605 | 38.4000015258789 | 37.4000015258789 | 37 | 36.4000015258789 | 36 | 35.9000015258789 | 35.9000015258789 | 35.7000007629395 | 35.5999984741211 | 35.7999992370605 | 36
Bhutan | BTN | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 34 | 33.7000007629395 | 33.4000015258789 | 33.2999992370605 | 32.7999992370605 | 35.0999984741211 | 36.2000007629395 | 37.9000015258789 | 39.5999984741211 | 41 | 42.7000007629395 | 44.7000007629395 | 46.5999984741211 | 46.9000015258789 | 47.7999992370605 | 47.4000015258789 | 46 | 45.0999984741211 | 43.2999992370605 | 45.7999992370605 | 45.7000007629395 | 47.7000007629395
Botswana | BWA | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 29.7999992370605 | 34.2000007629395 | 32.7999992370605 | 31.2000007629395 | 31.6000003814697 | 33.7000007629395 | 37.4000015258789 | 47.7000007629395 | 30.7000007629395 | 30.3999996185303 | 32 | 34.2999992370605 | 31.3999996185303 | 32.4000015258789 | 33.4000015258789 | 38.2000007629395 | 42.9000015258789 | 33.5 | 44.2000007629395 | 34.5999984741211 | 34.4000015258789 | 35.7000007629395
Sub-Saharan Africa (IFC classification) | CAA | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Central African Republic | CAF | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 49.7999992370605 | 49.7000007629395 | 49.7999992370605 | 49.9000015258789 | 49.9000015258789 | 49.4000015258789 | 50 | 49.7999992370605 | 49.7999992370605 | 49.7000007629395 | 49.5999984741211 | 49.5999984741211 | 49.2999992370605 | 49.7000007629395 | 49.7000007629395 | 49.7000007629395 | 49.7000007629395 | 49.5999984741211 | 49.5 | 49.5 | 49.5 | 49.4000015258789
Canada | CAN | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 57.5 | 55.0999984741211 | 53.2000007629395 | 53.4000015258789 | 53.2999992370605 | 52.0999984741211 | 50.2000007629395 | 52 | 53.7999992370605 | 55.7000007629395 | 56.2000007629395 | 57.5999984741211 | 58.4000015258789 | 58.0999984741211 | 58.7000007629395 | 59.2999992370605 | 59.9000015258789 | 60.4000015258789 | 57.2999992370605 | 56.5999984741211 | 56.4000015258789 | 55.4000015258789
East Asia and the Pacific (IFC classification) | CEA | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Central Europe and the Baltics | CEB | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 35.12837615895135 | 34.86178778946479 | 31.80690648242271 | 30.25476166390401 | 29.10145029326581 | 28.35711891190081 | 28.40302453059559 | 28.51750848910255 | 26.06340398634801 | 25.78118271710565 | 24.41838092208319 | 22.20699415868302 | 20.97342378880736 | 20.84266227268289 | 20.09289148849188 | 21.66359509859937 | 22.36047530736278 | 22.81825101051679 | 21.94086817369865 | 20.88762466204298 | 19.59489541473535 | 19.72056595071955
Europe and Central Asia (IFC classification) | CEU | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Switzerland | CHE | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 68.5 | 66.0999984741211 | 66.5 | 63 | 61.2000007629395 | 62.2000007629395 | 62.4000015258789 | 59.7999992370605 | 66.1999969482422 | 63.2999992370605 | 63.5999984741211 | 65.4000015258789 | 62.5999984741211 | 61.5999984741211 | 59.0999984741211 | 62.2999992370605 | 60.2999992370605 | 61.5999984741211 | 62.4000015258789 | 61 | 62 | 60.4000015258789
Channel Islands | CHI | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Chile | CHL | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19 | 21 | 22.6000003814697 | 23.1000003814697 | 22 | 21.6000003814697 | 22.2999992370605 | 21.1000003814697 | 18.3999996185303 | 18 | 17.2000007629395 | 16.3999996185303 | 16.8999996185303 | 17.7999992370605 | 18.5 | 18.7999992370605 | 19.7000007629395 | 20.7000007629395 | 20 | 24.2000007629395 | 25.3999996185303 | 25.2999992370605
China | CHN | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 72.5999984741211 | 72.5 | 72 | 71.1999969482422 | 70.0999984741211 | 68.9000015258789 | 67.5 | 65.6999969482422 | 64 | 62.5 | 60.4000015258789 | 58.5 | 56.7999992370605 | 55.0999984741211 | 53.7999992370605 | 52.9000015258789 | 52.0999984741211 | 50.7999992370605 | 49.9000015258789 | 49 | 49.4000015258789 | 49.5
Cote d'Ivoire | CIV | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 35.2999992370605 | 35.2000007629395 | 35.7999992370605 | 36.5 | 37.5 | 37.9000015258789 | 38.2000007629395 | 38.5999984741211 | 38.5 | 38.2999992370605 | 38.4000015258789 | 38.4000015258789 | 38.5 | 38.5999984741211 | 38.7000007629395 | 38.5999984741211 | 38.5999984741211 | 38.5999984741211 | 38.5 | 38.4000015258789 | 38.2999992370605 | 38.4000015258789
Latin America and the Caribbean (IFC classification) | CLA | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Middle East and North Africa (IFC classification) | CME | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Cameroon | CMR | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 37 | 37.4000015258789 | 37.7999992370605 | 38.2000007629395 | 40.4000015258789 | 36.7999992370605 | 37.0999984741211 | 37.5 | 37.7999992370605 | 38.7000007629395 | 37.4000015258789 | 39.2000007629395 | 39.2000007629395 | 40.2000007629395 | 40.2999992370605 | 40.7999992370605 | 40.7000007629395 | 40.2999992370605 | 40.2000007629395 | 41 | 41.0999984741211 | 41.0999984741211
Congo, Rep. | COG | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 38.7999992370605 | 38.7999992370605 | 38.5999984741211 | 38.4000015258789 | 38.7999992370605 | 38.7999992370605 | 38.5999984741211 | 38.7999992370605 | 38.7000007629395 | 39 | 38.9000015258789 | 38.9000015258789 | 38.7999992370605 | 38.9000015258789 | 39 | 39 | 38.7000007629395 | 39 | 39 | 39 | 38.7000007629395 | 38.7000007629395
Colombia | COL | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 18.2999992370605 | 19.7000007629395 | 19.5 | 20.7000007629395 | 21.8999996185303 | 22.3999996185303 | 24 | 24.5 | 24.8999996185303 | 25.1000003814697 | 29.3999996185303 | 30.7999992370605 | 34.7000007629395 | 32.0999984741211 | 30.5 | 29.1000003814697 | 25.2999992370605 | 24.3999996185303 | 26.6000003814697 | 27.1000003814697 | 28 | 28.7999992370605
Comoros | COM | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 20.5 | 20.7999992370605 | 20.7000007629395 | 20.5 | 20.7000007629395 | 20.6000003814697 | 20.7000007629395 | 20.7000007629395 | 20.7000007629395 | 20.7999992370605 | 20.8999996185303 | 21 | 21.1000003814697 | 21.1000003814697 | 21.2999992370605 | 21.2999992370605 | 21.2999992370605 | 21.3999996185303 | 21.3999996185303 | 21.3999996185303 | 21.2999992370605 | 21.2999992370605
Cabo Verde | CPV | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41 | 41 | 41 | 40.7999992370605 | 40.7000007629395 | 40.5999984741211 | 40.5 | 40.5 | 40.5 | 40.2999992370605 | 40.2000007629395 | 40.2000007629395 | 40.2000007629395 | 40.0999984741211 | 40.2000007629395 | 40.2999992370605 | 40.2999992370605 | 40.2000007629395 | 40.0999984741211 | 40.2000007629395 | 40.4000015258789 | 40.7000007629395
Costa Rica | CRI | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 30.6000003814697 | 30.5 | 31.2999992370605 | 31.2999992370605 | 30.6000003814697 | 26.2000007629395 | 28.2000007629395 | 30.8999996185303 | 31 | 29.8999996185303 | 31.2000007629395 | 30.2000007629395 | 29.1000003814697 | 27.2999992370605 | 29.2000007629395 | 30.1000003814697 | 33 | 32.5 | 28.2999992370605 | 28.7000007629395 | 28.5 | 28.5
South Asia (IFC classification) | CSA | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Caribbean small states | CSS | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 26.53019114911633 | 27.03296143753726 | 26.61647085479296 | 26.7990671906043 | 25.01489456082839 | 24.28383958841058 | 24.52967239698692 | 24.25155911142761 | 23.22649365033092 | 24.48977178074132 | 23.55331695633432 | 23.74050993439275 | 25.86397168237718 | 25.53834245608095 | 26.52509967602139 | 27.79261184323065 | 28.13372370107968 | 27.19053209946599 | 24.85603117396043 | 23.08620126138517 | 23.64516073531346 | 22.62986578835514
Cuba | CUB | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 27.5 | 26.8999996185303 | 27.1000003814697 | 27.7000007629395 | 24.5 | 24.6000003814697 | 24.3999996185303 | 24.2000007629395 | 23.2999992370605 | 23.1000003814697 | 23.2999992370605 | 23.2000007629395 | 23.3999996185303 | 23.2999992370605 | 24.7000007629395 | 26.2999992370605 | 30.3999996185303 | 30.5 | 34.5 | 34.0999984741211 | 34.4000015258789 | 34.5
[NAME] | CUW | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Cayman Islands | CYM | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Cyprus | CYP | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 33.7999992370605 | 37.5999984741211 | 33.5 | 35.9000015258789 | 36.5 | 37 | 35.4000015258789 | 32.7999992370605 | 33 | 35.7999992370605 | 39.2999992370605 | 38 | 39 | 37.2000007629395 | 35.2000007629395 | 35.7000007629395 | 36.2000007629395 | 37.0999984741211 | 34.9000015258789 | 34.2000007629395 | 29.2999992370605 | 26.8999996185303
Czech Republic | CZE | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 40.4000015258789 | 39.2999992370605 | 38.0999984741211 | 39.5 | 38.0999984741211 | 36.7999992370605 | 35.5 | 35.4000015258789 | 34.0999984741211 | 33.9000015258789 | 32.0999984741211 | 29.7999992370605 | 27.8999996185303 | 25.3999996185303 | 23.1000003814697 | 23.3999996185303 | 23.7000007629395 | 23.2999992370605 | 21.6000003814697 | 20.5 | 19.7000007629395 | 20.8999996185303
Germany | DEU | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 54.7999992370605 | 52.2999992370605 | 49.7000007629395 | 48.2999992370605 | 46 | 43.5999984741211 | 42.7999992370605 | 43.4000015258789 | 44.7999992370605 | 44.7999992370605 | 44.5999984741211 | 43 | 40.9000015258789 | 40.4000015258789 | 40.5 | 42.2000007629395 | 44.2000007629395 | 45.0999984741211 | 44.5999984741211 | 44.5 | 45.7000007629395 | 44.2000007629395
Djibouti | DJI | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Dominica | DMA | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Denmark | DNK | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 62.5 | 62.2999992370605 | 59.7999992370605 | 59.5 | 60.7999992370605 | 62.2000007629395 | 63.2999992370605 | 66.1999969482422 | 62.7000007629395 | 63.9000015258789 | 58.9000015258789 | 61.5 | 57.7000007629395 | 61.2000007629395 | 60.7000007629395 | 64.1999969482422 | 64.0999984741211 | 65.3000030517578 | 62.7000007629395 | 59.4000015258789 | 58.5 | 55.2999992370605
Dominican Republic | DOM | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 20.7000007629395 | 16.8999996185303 | 16.7999992370605 | 23 | 23.1000003814697 | 21.6000003814697 | 21.7000007629395 | 22.7000007629395 | 23.2999992370605 | 25.1000003814697 | 26.3999996185303 | 29 | 21.5 | 20 | 20.7000007629395 | 22.7999992370605 | 23.2000007629395 | 25 | 24.2000007629395 | 26.8999996185303 | 26.7000007629395 | 26.7000007629395
Algeria | DZA | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.30000019073486 | 4.90000009536743 | 5.19999980926514 | 5.19999980926514 | 4.59999990463257 | 4.80000019073486 | 5.19999980926514 | 4.69999980926514 | 4.69999980926514 | 3.20000004768372 | 3.90000009536743 | 4.19999980926514 | 4.59999990463257 | 5.80000019073486 | 5.5 | 6.30000019073486 | 5.5 | 5.80000019073486 | 5.59999990463257 | 5.69999980926514 | 5.80000019073486 | 6.09999990463257
East Asia & Pacific (developing only) | EAP | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 65.12028782306265 | 65.1732230713677 | 64.07312320469605 | 63.13007400737466 | 62.37900808156014 | 61.14199778709455 | 59.61839677108829 | 57.53236153402923 | 56.62956282416293 | 55.68308712933862 | 53.99166114605068 | 52.53479050659153 | 51.47624746144148 | 50.22619237732636 | 49.2051327730764 | 48.47006042347512 | 48.16705767506011 | 47.17508271058334 | 46.58398061112113 | 45.80009766150321 | 46.1397224598831 | 46.04531321821249
East Asia & Pacific (all income levels) | EAS | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 63.24343605148198 | 63.28368495035396 | 62.23828195026126 | 61.432935528992 | 60.76730172848661 | 59.63600488970567 | 58.22726861437126 | 56.17990117464682 | 55.31767871897934 | 54.54777585039822 | 53.01555302454285 | 51.66913066787313 | 50.71808281584129 | 49.60745024917995 | 48.72694201337956 | 48.02838884241955 | 47.71861437288426 | 46.77065471900863 | 46.13209342929043 | 45.36465631771168 | 45.66498742109025 | 45.54738144121445
Europe & Central Asia (developing only) | ECA | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 34.34136244041427 | 33.54212771143087 | 30.90305480814652 | 32.33367993672873 | 31.7320906496193 | 31.04431917725134 | 29.84985958983997 | 29.30052906362288 | 29.34099690221136 | 27.7907878845992 | 27.45297521833023 | 26.70205794543959 | 25.68736211004162 | 25.29453625334766 | 24.58672396092961 | 24.51221381834264 | 24.5130770037247 | 24.72978350310629 | 24.35839465904389 | 24.67973749051661 | 24.96111880681737 | 24.99422268971965
Europe & Central Asia (all income levels) | ECS | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 38.26277142780227 | 37.79213766955728 | 35.15264744438998 | 34.46060861731745 | 33.60903828014342 | 32.74823877439697 | 31.58834446331477 | 31.16777393921488 | 31.78110222611775 | 31.86167662509734 | 31.43970696663418 | 31.20396659772738 | 30.31667752152399 | 30.19132421585338 | 30.20921826506462 | 30.59321924680842 | 31.19641610157934 | 31.5972926877965 | 30.45524464741665 | 29.82664856347768 | 29.74063086987374 | 29.13487492390386
Ecuador | ECU | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 30.5 | 31.2999992370605 | 33 | 31.1000003814697 | 33.7000007629395 | 33.5 | 32.5999984741211 | 35 | 34.7999992370605 | 33.7000007629395 | 42.5999984741211 | 38.7999992370605 | 34.2000007629395 | 38.5999984741211 | 36.0999984741211 | 37.7000007629395 | 36.2999992370605 | 34.2999992370605 | 32.5999984741211 | 34.7000007629395 | 35.9000015258789 | 35.7000007629395
Egypt, Arab Rep. | EGY | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11 | 10.6999998092651 | 8.5 | 8.60000038146973 | 8 | 9.80000019073486 | 9.89999961853027 | 9.69999980926514 | 12.8999996185303 | 10.3000001907349 | 8.39999961853027 | 12.6999998092651 | 11.8999996185303 | 10.8999996185303 | 8.80000019073486 | 9 | 10 | 9.60000038146973 | 8.60000038146973 | 9 | 7 | 7
Euro area | EMU | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 37.49050237671822 | 35.60492751888636 | 33.07946938492098 | 31.60463470070301 | 30.56481034383195 | 29.76374705071653 | 29.58533874750626 | 30.60520632175633 | 31.7213226176515 | 32.87029319564825 | 33.11603388378767 | 32.69940185962604 | 32.33318097436514 | 32.58523055329045 | 33.03853424430243 | 33.61785836746835 | 34.70176212501652 | 34.81816254390991 | 32.96699542181073 | 31.57557828061267 | 31.18009000320114 | 29.80657066663925
Eritrea | ERI | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 65.1999969482422 | 65.1999969482422 | 65.8000030517578 | 66.1999969482422 | 65.1999969482422 | 65.5 | 65.3000030517578 | 64.9000015258789 | 64.5999984741211 | 63.7999992370605 | 64.8000030517578 | 64.4000015258789 | 64 | 64.0999984741211 | 64.1999969482422 | 64 | 64.1999969482422 | 63.5999984741211 | 64.4000015258789 | 64.4000015258789 | 64.6999969482422 | 64.5999984741211
Spain | ESP | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 26.2000007629395 | 24.2999992370605 | 20.8999996185303 | 19.8999996185303 | 19.8999996185303 | 19.3999996185303 | 20.3999996185303 | 21.5 | 24.7000007629395 | 26.8999996185303 | 27.7000007629395 | 27.8999996185303 | 28.2999992370605 | 29.6000003814697 | 33.4000015258789 | 35.2000007629395 | 34.4000015258789 | 33.0999984741211 | 26.7999992370605 | 24.2000007629395 | 21.7999992370605 | 17.8999996185303
Estonia | EST | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46.7000007629395 | 43.5 | 39.7000007629395 | 37.5 | 35.7000007629395 | 33.2999992370605 | 30.8999996185303 | 30.7999992370605 | 24.3999996185303 | 23.7999992370605 | 21.3999996185303 | 19.3999996185303 | 19.3999996185303 | 22.7000007629395 | 25.5 | 26.2999992370605 | 30.5 | 33.7000007629395 | 27.2000007629395 | 23.8999996185303 | 28.7000007629395 | 30.2999992370605
Ethiopia | ETH | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 61.7000007629395 | 61.7000007629395 | 63.0999984741211 | 62.5 | 60.7999992370605 | 60.7999992370605 | 60.7999992370605 | 60.7999992370605 | 60.7000007629395 | 61.5999984741211 | 62.5 | 63.9000015258789 | 65.1999969482422 | 66.5 | 67.5999984741211 | 67.3000030517578 | 67 | 66.5999984741211 | 66.0999984741211 | 65.6999969482422 | 65.6999969482422 | 65.6999969482422
European Union | EUU | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 40.22383293555652 | 38.37498667599741 | 35.5697607879361 | 34.23542287139372 | 33.26502647412353 | 32.6736957453798 | 32.62361208527266 | 33.34215608247062 | 33.45682448223197 | 34.2473346795795 | 34.06095757322326 | 33.33398324767123 | 32.69401836903305 | 32.93200042547047 | 32.96602546691214 | 33.82432263352457 | 34.49688044659166 | 34.82150224681087 | 33.04809403723188 | 31.85391639491169 | 31.29817612826015 | 30.54780712641333
Fragile and conflict affected situations | FCS | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 33.96416232755357 | 33.77210324386526 | 33.79540063468461 | 33.81273054876475 | 33.89088539235191 | 33.70556319903843 | 33.59831345023944 | 33.51065749412591 | 33.65586359348876 | 33.53856361133239 | 33.72811404371367 | 34.01845272024021 | 34.405067130541 | 34.56754298679098 | 34.57815596508217 | 34.3905750549544 | 34.37934512545321 | 34.31599681638397 | 34.30532690755111 | 34.22225339336786 | 34.16148129103389 | 34.04803281016024
Finland | FIN | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46.0999984741211 | 37.0999984741211 | 31.1000003814697 | 28.6000003814697 | 28.1000003814697 | 29.1000003814697 | 32.5 | 33.9000015258789 | 38.0999984741211 | 39.7999992370605 | 40.5999984741211 | 40.2999992370605 | 39.2999992370605 | 39.4000015258789 | 40.2999992370605 | 41.0999984741211 | 44.2999992370605 | 44.7999992370605 | 41.7000007629395 | 40.2999992370605 | 41.2999992370605 | 42.7999992370605
Fiji | FJI | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 23.3999996185303 | 24.2000007629395 | 24.2999992370605 | 25 | 25.7999992370605 | 26.1000003814697 | 25.2000007629395 | 23.6000003814697 | 23.8999996185303 | 24.2000007629395 | 25.6000003814697 | 26.1000003814697 | 23.6000003814697 | 27.2000007629395 | 27.2999992370605 | 25.2999992370605 | 22.8999996185303 | 22.5 | 22.8999996185303 | 23 | 23.1000003814697 | 23.2999992370605
France | FRA | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 29.3999996185303 | 28 | 26.5 | 24.6000003814697 | 24.2000007629395 | 23.6000003814697 | 22.3999996185303 | 22.7999992370605 | 22.8999996185303 | 24.5 | 24.7000007629395 | 24.8999996185303 | 26.6000003814697 | 26.2000007629395 | 26.8999996185303 | 26.6000003814697 | 28.3999996185303 | 28.7999992370605 | 28.5 | 27.2999992370605 | 26.8999996185303 | 26.2000007629395
Faeroe Islands | FRO | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Micronesia, Fed. [NAME]. | FSM | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Gabon | GAB | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 18.2000007629395 | 18.3999996185303 | 18.5 | 18 | 17.5 | 16.8999996185303 | 16.5 | 16.1000003814697 | 15.6999998092651 | 15.3000001907349 | 14.8999996185303 | 14.6000003814697 | 14.1999998092651 | 13.8999996185303 | 13.6000003814697 | 13.6000003814697 | 13.6000003814697 | 13.6000003814697 | 13.6000003814697 | 14 | 14.1000003814697 | 13.8000001907349
United Kingdom | GBR | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 61.4000015258789 | 57.4000015258789 | 54.7000007629395 | 54.4000015258789 | 54.4000015258789 | 56.2000007629395 | 56.5 | 56.2999992370605 | 56.0999984741211 | 56.2999992370605 | 55.7000007629395 | 55.9000015258789 | 54.7999992370605 | 55.0999984741211 | 53.9000015258789 | 53.5999984741211 | 51.9000015258789 | 52 | 48.2000007629395 | 47 | 45.9000015258789 | 46.2000007629395
Georgia | GEO | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 20 | 23.1000003814697 | 22.1000003814697 | 21.2000007629395 | 20.7999992370605 | 21.7000007629395 | 21.8999996185303 | 22 | 23.8999996185303 | 22.3999996185303 | 21.7999992370605 | 18.2000007629395 | 20.2999992370605 | 16 | 17 | 16.5 | 14.8000001907349 | 13.6999998092651 | 13.5 | 13.8000001907349 | 14.1999998092651 | 14.6999998092651
Ghana | GHA | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 44.4000015258789 | 45 | 44.2999992370605 | 48 | 50.5 | 44.7999992370605 | 44.7999992370605 | 44.7000007629395 | 43.7000007629395 | 45.4000015258789 | 42.5999984741211 | 40.2000007629395 | 38.2000007629395 | 36.2000007629395 | 38.2000007629395 | 36.5 | 36.4000015258789 | 36.2999992370605 | 36 | 36 | 36.0999984741211 | 35.7000007629395
Guinea | GIN | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 48.4000015258789 | 48.4000015258789 | 48.2999992370605 | 48.2000007629395 | 48.2000007629395 | 48 | 48 | 47.9000015258789 | 47.7999992370605 | 47.9000015258789 | 48 | 48.0999984741211 | 48 | 48.2000007629395 | 48.2999992370605 | 48.5 | 48.7999992370605 | 48.7999992370605 | 49.2000007629395 | 49.5 | 49.5999984741211 | 49.7999992370605
Gambia, The | GMB | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 56.5 | 56.5 | 56.5 | 56.2999992370605 | 55.9000015258789 | 56.2999992370605 | 56.2000007629395 | 56.2999992370605 | 56.2999992370605 | 56.2000007629395 | 56.2000007629395 | 55.7999992370605 | 56.2000007629395 | 56.2000007629395 | 55.7999992370605 | 55.7999992370605 | 55.9000015258789 | 55.9000015258789 | 55.9000015258789 | 55.7999992370605 | 55.0999984741211 | 55.2999992370605
Guinea-Bissau | GNB | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 39.5999984741211 | 40.2999992370605 | 41.0999984741211 | 41.7000007629395 | 42 | 41.4000015258789 | 41.2000007629395 | 42.5 | 43.4000015258789 | 43.0999984741211 | 43.2000007629395 | 44.0999984741211 | 44.9000015258789 | 45.2999992370605 | 45.5 | 45.7000007629395 | 46 | 46.0999984741211 | 46.2000007629395 | 46.4000015258789 | 46.5 | 46.4000015258789
Equatorial Guinea | GNQ | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 56 | 57.7000007629395 | 56.7999992370605 | 57.0999984741211 | 57.0999984741211 | 58.9000015258789 | 61.2000007629395 | 57 | 56.9000015258789 | 56.5 | 58.0999984741211 | 56.2000007629395 | 55.7999992370605 | 56.7000007629395 | 55.5 | 55 | 55.9000015258789 | 55.7000007629395 | 54.9000015258789 | 55 | 55.4000015258789 | 55.2999992370605
Greece | GRC | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 23.7000007629395 | 22.8999996185303 | 21.6000003814697 | 21.2000007629395 | 21.2000007629395 | 20.8999996185303 | 20.2999992370605 | 22.7000007629395 | 22.7999992370605 | 22.7999992370605 | 21.8999996185303 | 21.8999996185303 | 20.2000007629395 | 21.6000003814697 | 20.1000003814697 | 19.5 | 19.7999992370605 | 19.6000003814697 | 19 | 16.6000003814697 | 13.3999996185303 | 10.3999996185303
Grenada | GRD | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Greenland | GRL | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Guatemala | GTM | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 31.7999992370605 | 31.6000003814697 | 32.7000007629395 | 32.9000015258789 | 31.5 | 32.4000015258789 | 31.3999996185303 | 31.8999996185303 | 33.5 | 33.9000015258789 | 34 | 32.7000007629395 | 32.9000015258789 | 32.7000007629395 | 35.9000015258789 | 39.2000007629395 | 39.4000015258789 | 39.2999992370605 | 39.4000015258789 | 39.2999992370605 | 38.9000015258789 | 39
Guam | GUM | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Guyana | GUY | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 17.5 | 20.7000007629395 | 19.1000003814697 | 16.7999992370605 | 14.6999998092651 | 15.8000001907349 | 16.7999992370605 | 17.1000003814697 | 16.2999992370605 | 18.7999992370605 | 14.3999996185303 | 10.3999996185303 | 15.6000003814697 | 15.8999996185303 | 16.7999992370605 | 14.5 | 17.2000007629395 | 17.8999996185303 | 18.1000003814697 | 16.7000007629395 | 17 | 16.5
High income | HIC | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 42.46053980587715 | 42.19977219611109 | 40.92801607758004 | 40.53176024985128 | 40.03876783664476 | 39.53589491381106 | 38.98423013651366 | 38.74936684272637 | 39.11243452056186 | 39.78960195481658 | 39.12338589116734 | 38.52470950639516 | 37.67953507873555 | 37.66821832227336 | 38.19900884861899 | 38.44585213877144 | 38.75217160206516 | 38.55371570681647 | 36.66146345269586 | 35.53853574115642 | 35.37438707150859 | 35.19703733699511
Hong Kong SAR, China | HKG | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 53.5 | 52.0999984741211 | 49.4000015258789 | 48.5 | 46.7000007629395 | 46.5999984741211 | 45.2999992370605 | 42.9000015258789 | 40 | 40.0999984741211 | 39.5999984741211 | 39.4000015258789 | 39.5999984741211 | 41.0999984741211 | 41.2000007629395 | 40.5 | 41.2999992370605 | 40 | 36.5 | 33.4000015258789 | 34.5 | 35.0999984741211
Honduras | HND | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 25.5 | 27.7000007629395 | 27.5 | 27.2999992370605 | 27.2000007629395 | 31.2000007629395 | 32.2000007629395 | 32.9000015258789 | 35.9000015258789 | 34.4000015258789 | 30.7999992370605 | 27.5 | 27.1000003814697 | 26.6000003814697 | 27.1000003814697 | 27.8999996185303 | 28.1000003814697 | 28.1000003814697 | 28.2000007629395 | 27.2000007629395 | 27.3999996185303 | 27.6000003814697
Heavily indebted poor countries (HIPC) | HPC | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 48.63038308542314 | 48.47605905661946 | 48.54353902884708 | 48.63306612123235 | 48.60820726271672 | 48.45966951952803 | 48.58730271178425 | 48.7320215478461 | 48.87146662854395 | 48.97689946701441 | 48.9067417623184 | 49.13609947042693 | 49.1651507472785 | 49.45729387501419 | 49.79677470630475 | 49.38871685751275 | 49.62145631139872 | 49.48037250427561 | 49.27902377108823 | 49.20807932772669 | 49.1048406455739 | 49.07989522896828
Croatia | HRV | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 25 | 29.2000007629395 | 28.7999992370605 | 28.6000003814697 | 28.6000003814697 | 28.8999996185303 | 28.8999996185303 | 28 | 26.3999996185303 | 24.7000007629395 | 22.1000003814697 | 22.1000003814697 | 21.2999992370605 | 22.1000003814697 | 21.7000007629395 | 22.6000003814697 | 22.1000003814697 | 21.2999992370605 | 19.8999996185303 | 17.7999992370605 | 15.6000003814697 | 13.3999996185303
Haiti | HTI | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 27.2000007629395 | 26.2000007629395 | 25.2999992370605 | 24.2000007629395 | 24.7999992370605 | 23.7000007629395 | 22.7999992370605 | 22.1000003814697 | 24.8999996185303 | 24.2000007629395 | 24.3999996185303 | 24.7999992370605 | 25.2999992370605 | 25.3999996185303 | 26.1000003814697 | 26.2000007629395 | 26.2999992370605 | 26.1000003814697 | 26.2000007629395 | 25.8999996185303 | 26.3999996185303 | 26.2999992370605
Hungary | HUN | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 34.4000015258789 | 33.7999992370605 | 30.5 | 29.7999992370605 | 27.6000003814697 | 25.6000003814697 | 26.2999992370605 | 30.2999992370605 | 30.3999996185303 | 29.2999992370605 | 27.6000003814697 | 26.3999996185303 | 24.1000003814697 | 21 | 19.1000003814697 | 18.5 | 17.5 | 16.7000007629395 | 16.2000007629395 | 16.6000003814697 | 16.6000003814697 | 17.2000007629395
Indonesia | IDN | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 33.5 | 36.9000015258789 | 35.2000007629395 | 35.2000007629395 | 36.9000015258789 | 36.0999984741211 | 34.9000015258789 | 31.5 | 35 | 35.5999984741211 | 33 | 31.2999992370605 | 30.8999996185303 | 29.7000007629395 | 27.2000007629395 | 28.1000003814697 | 30.7000007629395 | 31.1000003814697 | 31.5 | 30.2000007629395 | 30.8999996185303 | 30.6000003814697
Isle of Man | IMN | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
India | IND | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 27.7999992370605 | 27.5 | 27 | 27.2000007629395 | 26.5 | 26 | 25.1000003814697 | 25.1000003814697 | 24.6000003814697 | 23.7000007629395 | 24.2999992370605 | 24.2999992370605 | 24.7000007629395 | 25.1000003814697 | 25 | 23.2999992370605 | 22 | 20.2000007629395 | 18.8999996185303 | 17.2000007629395 | 17.2000007629395 | 17.3999996185303
Not classified | INX | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Ireland | IRL | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 35.5999984741211 | 33 | 32.7000007629395 | 33.5999984741211 | 34.4000015258789 | 33.5999984741211 | 35.9000015258789 | 40.2000007629395 | 43.2000007629395 | 43.5999984741211 | 42.2999992370605 | 41.5999984741211 | 42.2999992370605 | 41.4000015258789 | 45.9000015258789 | 46.2999992370605 | 47.2999992370605 | 44.5 | 37.9000015258789 | 32.7999992370605 | 30.8999996185303 | 30.1000003814697
Iran, Islamic Rep. | IRN | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.60000038146973 | 8.10000038146973 | 7.90000009536743 | 7.69999980926514 | 7.5 | 7.30000019073486 | 7.5 | 8 | 8.5 | 8.39999961853027 | 9.30000019073486 | 9.5 | 10.3000001907349 | 11.8000001907349 | 11.5 | 10.6000003814697 | 10.1999998092651 | 8.30000019073486 | 8.60000038146973 | 7.59999990463257 | 7.69999980926514 | 7.80000019073486
Iraq | IRQ | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.90000009536743 | 3 | 3.70000004768372 | 3.40000009536743 | 3.09999990463257 | 2.90000009536743 | 2.90000009536743 | 2.90000009536743 | 3.09999990463257 | 3.09999990463257 | 3 | 3 | 3.70000004768372 | 2.59999990463257 | 3 | 3.09999990463257 | 3.20000004768372 | 3.70000004768372 | 3.70000004768372 | 3.70000004768372 | 3.70000004768372 | 3.79999995231628
Iceland | ISL | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 56.9000015258789 | 53.7999992370605 | 54 | 53.0999984741211 | 54.5999984741211 | 55.4000015258789 | 57.7000007629395 | 64.3000030517578 | 67.5 | 70.5999984741211 | 66.9000015258789 | 59.7000007629395 | 64.0999984741211 | 64.0999984741211 | 71 | 72.4000015258789 | 72 | 70.4000015258789 | 63.4000015258789 | 61.7000007629395 | 63.4000015258789 | 64.9000015258789
Israel | ISR | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 22.3999996185303 | 22.8999996185303 | 24.7000007629395 | 27.8999996185303 | 28.7999992370605 | 29.2000007629395 | 28.2999992370605 | 27.2999992370605 | 28.1000003814697 | 29.6000003814697 | 28.6000003814697 | 26.2000007629395 | 26.6000003814697 | 27.2999992370605 | 28.5 | 28.3999996185303 | 28.6000003814697 | 29.2000007629395 | 29.7999992370605 | 29.7000007629395 | 28.7999992370605 | 42.5999984741211
Italy | ITA | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 27.7000007629395 | 25.6000003814697 | 24 | 22.2999992370605 | 21.1000003814697 | 20.7000007629395 | 20.1000003814697 | 20.2999992370605 | 20.7000007629395 | 21.8999996185303 | 22.2000007629395 | 21.1000003814697 | 20.6000003814697 | 22.6000003814697 | 20.7000007629395 | 20.1000003814697 | 19.6000003814697 | 19.5 | 17.1000003814697 | 16.5 | 15.5 | 14.8999996185303
Jamaica | JAM | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 30.6000003814697 | 32.7000007629395 | 31.8999996185303 | 32.5999984741211 | 27.7000007629395 | 25.2000007629395 | 25.6000003814697 | 24.2999992370605 | 22.2999992370605 | 23.1000003814697 | 21.2999992370605 | 23 | 26.5 | 23.5 | 24.7999992370605 | 26.2000007629395 | 26.2999992370605 | 24.3999996185303 | 21.7000007629395 | 19 | 20.2999992370605 | 18.1000003814697
Jordan | JOR | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.19999980926514 | 3.20000004768372 | 2.29999995231628 | 2.79999995231628 | 4 | 4.30000019073486 | 4.40000009536743 | 5.59999990463257 | 4.40000009536743 | 5 | 5 | 4.90000009536743 | 4.80000019073486 | 5.59999990463257 | 4.5 | 5.30000019073486 | 5.90000009536743 | 5.5 | 6 | 5.59999990463257 | 5.19999980926514 | 4.80000019073486
Japan | JPN | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 43.5 | 44.2999992370605 | 44.0999984741211 | 44.7000007629395 | 44.4000015258789 | 44.4000015258789 | 44.5 | 44 | 42.5999984741211 | 42.7000007629395 | 42.2000007629395 | 41 | 40.7999992370605 | 40.7000007629395 | 41.7000007629395 | 41.9000015258789 | 41.5 | 41.7999992370605 | 41.2999992370605 | 40.5 | 40.2999992370605 | 39.7000007629395
Kazakhstan | KAZ | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 40.4000015258789 | 41.0999984741211 | 41.2999992370605 | 43.7999992370605 | 41.5 | 40.0999984741211 | 40.2000007629395 | 40.0999984741211 | 39.7999992370605 | 40.2000007629395 | 41.5999984741211 | 39.2999992370605 | 39.7999992370605 | 39.0999984741211 | 40.2000007629395 | 39.7000007629395 | 39.5999984741211 | 40 | 40.2999992370605 | 41.2000007629395 | 41.7999992370605 | 42.4000015258789
Kenya | [NAME] | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 44.2999992370605 | 43 | 41.9000015258789 | 40.7999992370605 | 39.7999992370605 | 38.5999984741211 | 37.2999992370605 | 36.2999992370605 | 35.2000007629395 | 34.0999984741211 | 33.2999992370605 | 32.2000007629395 | 31.3999996185303 | 30.6000003814697 | 29.7999992370605 | 29.7999992370605 | 29.8999996185303 | 29.7000007629395 | 29.7000007629395 | 29.7999992370605 | 29.7000007629395 | 29.6000003814697
Kyrgyz Republic | KGZ | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 38.7000007629395 | 38.7999992370605 | 38.4000015258789 | 38.4000015258789 | 37.7000007629395 | 36.7000007629395 | 36.5999984741211 | 34.9000015258789 | 35.5999984741211 | 35.5999984741211 | 34.7000007629395 | 32.0999984741211 | 31.2999992370605 | 29.7999992370605 | 30.2999992370605 | 30.2999992370605 | 30.2999992370605 | 30.2999992370605 | 29.7000007629395 | 29.6000003814697 | 29.6000003814697 | 30.1000003814697
Cambodia | KHM | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 72 | 72 | 72.1999969482422 | 72.5 | 71.5999984741211 | 70.3000030517578 | 69.3000030517578 | 68.5999984741211 | 67.8000030517578 | 67.1999969482422 | 69.8000030517578 | 70.8000030517578 | 72.0999984741211 | 73.4000015258789 | 73.3000030517578 | 72.9000015258789 | 72.4000015258789 | 71.8000030517578 | 70.9000015258789 | 70.5999984741211 | 70.4000015258789 | 70.3000030517578
Kiribati | KIR | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
St. Kitts and Nevis | KNA | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Korea, Rep. | KOR | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 39.5999984741211 | 38.9000015258789 | 38.5999984741211 | 39 | 39.7000007629395 | 39.2999992370605 | 38.2999992370605 | 32.5999984741211 | 32.5 | 33.9000015258789 | 34.7000007629395 | 35.5 | 34.9000015258789 | 35.5 | 35.2999992370605 | 32.7000007629395 | 31 | 28.8999996185303 | 27.3999996185303 | 27.6000003814697 | 27.5 | 28.1000003814697
Kosovo | KSV | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Kuwait | KWT | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 22.1000003814697 | 22 | 22.5 | 23 | 23.6000003814697 | 24.2999992370605 | 25.1000003814697 | 25.7999992370605 | 26.2000007629395 | 26.2999992370605 | 26.2999992370605 | 25.7000007629395 | 25.1000003814697 | 23.6000003814697 | 21.7000007629395 | 22.2999992370605 | 21.8999996185303 | 21.7000007629395 | 22.6000003814697 | 22.6000003814697 | 22.7000007629395 | 22.8999996185303
Latin America & Caribbean (developing only) | LAC | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 32.61438572645 | 35.35303956940906 | 34.99744272494036 | 35.25053192771198 | 34.83179048366745 | 33.87976089102666 | 34.45214350774218 | 34.45307163311777 | 34.88103198245054 | 34.07597066949044 | 34.70033264428515 | 34.45011076990946 | 33.63374794391188 | 34.43303628860918 | 34.87901492123925 | 35.13901038734569 | 35.58932977237065 | 35.78535535917574 | 34.56564905391671 | 34.85640485303549 | 35.36808125984267 | 35.67730277626938
Lao PDR | LAO | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 79.8000030517578 | 79.1999969482422 | 78.8000030517578 | 78.1999969482422 | 77.6999969482422 | 77.8000030517578 | 76.9000015258789 | 76.0999984741211 | 75.3000030517578 | 74.5 | 73.6999969482422 | 72.9000015258789 | 71.6999969482422 | 70.5 | 71 | 70.3000030517578 | 69.5 | 68.6999969482422 | 68 | 67.4000015258789 | 67.0999984741211 | 66.8000030517578
Lebanon | LBN | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.5 | 13.8999996185303 | 14 | 13.8000001907349 | 14 | 13.8999996185303 | 14.1000003814697 | 14.1000003814697 | 14.1999998092651 | 14.1999998092651 | 14.1999998092651 | 14.3000001907349 | 14.3000001907349 | 14.3000001907349 | 14.1000003814697 | 13.8999996185303 | 13.5 | 13.5 | 13.6000003814697 | 13.6999998092651 | 14 | 14.3999996185303
Liberia | LBR | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 33 | 32.9000015258789 | 33 | 32.9000015258789 | 32.9000015258789 | 32.9000015258789 | 32.9000015258789 | 32.9000015258789 | 32.9000015258789 | 32.9000015258789 | 32.9000015258789 | 33 | 32.7000007629395 | 33.0999984741211 | 32.5999984741211 | 33.4000015258789 | 33.5999984741211 | 33.2999992370605 | 33.0999984741211 | 32.5 | 32.4000015258789 | 32.7000007629395
Libya | LBY | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.6000003814697 | 11.1000003814697 | 11.5 | 11.8999996185303 | 12.5 | 12.8999996185303 | 13.6000003814697 | 14.1999998092651 | 14.8000001907349 | 15.3000001907349 | 15.8000001907349 | 16.1000003814697 | 16.2999992370605 | 16.6000003814697 | 16.6000003814697 | 16.7999992370605 | 16.7999992370605 | 16.8999996185303 | 16.8999996185303 | 16.7000007629395 | 17.5 | 15.8999996185303
St. Lucia | LCA | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Latin America & Caribbean (all income levels) | LCN | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 32.09912493405876 | 34.78737477442584 | 34.53321263029482 | 34.81108717624277 | 34.40194034375166 | 33.48784415237062 | 34.06941714526725 | 34.02716479432571 | 34.3956025105262 | 33.61776608614747 | 34.19964659396771 | 33.92074299376726 | 33.14224279677315 | 33.92766483850728 | 34.37888298174509 | 34.61435878290042 | 35.06284663649478 | 35.28293194090274 | 34.07849705957229 | 34.44666647426984 | 34.98140856857468 | 35.29182781407525
Latin America and the Caribbean | LCR | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Least developed countries: UN classification | LDC | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 51.99910216118589 | 51.64454820218769 | 51.59250702941703 | 51.39753417650214 | 51.11162015652742 | 51.10816723168907 | 50.72779045250589 | 50.80181129117688 | 50.55231858216055 | 50.14686418935153 | 50.27178574126397 | 50.55801589793794 | 50.87556421785822 | 50.86660003631456 | 50.53256231719816 | 50.28775737377581 | 50.31867896230615 | 50.05724687417696 | 49.69845554083818 | 49.88852692905318 | 49.77661662174435 | 49.69037054682494
Low income | LIC | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 55.18351654973173 | 54.72383544916786 | 54.55759297074092 | 54.22487557806034 | 53.73462916656861 | 53.41841260023008 | 52.96975068240292 | 52.87690354390455 | 52.48121382851954 | 52.19753651284465 | 52.38986707801348 | 52.76387420021779 | 53.19854580232479 | 53.24457586489944 | 52.8945698782011 | 52.67086225536404 | 52.7098105323506 | 52.42537411205485 | 52.09468784455809 | 52.37850730280918 | 52.26140255946129 | 52.14266348838357
[NAME] | LIE | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
[NAME] | LKA | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.8999996185303 | 16.2999992370605 | 18.2000007629395 | 17.8999996185303 | 18.7999992370605 | 19.6000003814697 | 19.7000007629395 | 27.7999992370605 | 22.8999996185303 | 21.2999992370605 | 21.6000003814697 | 21 | 22.2999992370605 | 21.6000003814697 | 18.2999992370605 | 24.7999992370605 | 22.7999992370605 | 22.2999992370605 | 20.6000003814697 | 19.6000003814697 | 19.7000007629395 | 19.7999992370605
Lower middle income | LMC | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 28.63868009189249 | 28.97277003899824 | 28.37274824977228 | 28.56566532092275 | 28.35794062532448 | 28.03341601589454 | 27.3624986240061 | 27.07124904986419 | 27.04150467850776 | 26.26692033521279 | 26.19888291826134 | 26.24454438995742 | 26.48052260222173 | 26.5733114060362 | 26.28472083578423 | 25.64248531189996 | 25.16641180223503 | 24.29956359887647 | 23.7640045874456 | 22.90103479295084 | 22.97591764017616 | 23.0917452157056
Low & middle income | LMY | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 44.85138839383945 | 44.79084170406762 | 43.7821104506903 | 43.31090504768844 | 42.45766913119628 | 41.51090399137081 | 40.5434105022635 | 39.69122463772681 | 39.09184228013553 | 38.18320582454987 | 37.79533391101361 | 37.49108159186996 | 37.25406562944838 | 37.11639187282663 | 36.73490605918025 | 36.22155492647574 | 35.90059402576638 | 35.1522827608142 | 34.49123102827743 | 33.91717823974719 | 34.0220859282924 | 34.00625085267488
[NAME] | LSO | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 27.7999992370605 | 26.2999992370605 | 24.8999996185303 | 25.5 | 29.3999996185303 | 32.0999984741211 | 24.2000007629395 | 28.6000003814697 | 33.0999984741211 | 24.3999996185303 | 23.5 | 25 | 20.2000007629395 | 20.7000007629395 | 19.2999992370605 | 20.3999996185303 | 22.2999992370605 | 22 | 21.7000007629395 | 22.5 | 22.1000003814697 | 20.7000007629395
Lithuania | LTU | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 32.2000007629395 | 36.2000007629395 | 28.7000007629395 | 28.8999996185303 | 28.1000003814697 | 27.8999996185303 | 27.8999996185303 | 27.8999996185303 | 29.5 | 23.7999992370605 | 21.1000003814697 | 22 | 19.7999992370605 | 16.2000007629395 | 17.6000003814697 | 21.1000003814697 | 20.7000007629395 | 22.5 | 21.2999992370605 | 18.6000003814697 | 18.2999992370605 | 21.5
Luxembourg | LUX | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 48.5999984741211 | 48.4000015258789 | 43.7999992370605 | 41.2999992370605 | 36.5999984741211 | 35.0999984741211 | 31.8999996185303 | 31 | 29.2000007629395 | 28.2999992370605 | 29.8999996185303 | 28.1000003814697 | 25.7000007629395 | 20.6000003814697 | 21.2999992370605 | 21.2000007629395 | 18.6000003814697 | 20.8999996185303 | 24.3999996185303 | 20.3999996185303 | 18.6000003814697 | 20.2999992370605
Latvia | LVA | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 40.4000015258789 | 39 | 37.5999984741211 | 33.2999992370605 | 34.2000007629395 | 32.4000015258789 | 29 | 29.2999992370605 | 27.7999992370605 | 24.8999996185303 | 24.3999996185303 | 25.5 | 25.6000003814697 | 22.7999992370605 | 26.2999992370605 | 28.7000007629395 | 33 | 31.7000007629395 | 25.7999992370605 | 24.7000007629395 | 23.3999996185303 | 25.3999996185303
Macao SAR, China | MAC | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 45.0999984741211 | 44.4000015258789 | 49.7000007629395 | 49.7999992370605 | 46 | 52.2000007629395 | 48.5999984741211 | 45.7999992370605 | 43.2999992370605 | 42 | 44.5999984741211 | 40.0999984741211 | 36.9000015258789 | 37.0999984741211 | 41.0999984741211 | 42 | 47.0999984741211 | 48 | 49.7000007629395 | 50.0999984741211 | 49.7999992370605 | 51
St. Martin (French part) | MAF | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Morocco | MAR | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 23.7999992370605 | 24 | 24.2999992370605 | 24.2999992370605 | 24.6000003814697 | 24.6000003814697 | 24.8999996185303 | 25 | 24.5 | 23.7000007629395 | 17.7000007629395 | 17.5 | 20 | 21.5 | 20 | 19.3999996185303 | 18.6000003814697 | 17.7999992370605 | 16 | 15.8999996185303 | 15.6999998092651 | 16.2000007629395
Mexico and Central America | MCA | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Monaco | MCO | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Moldova | MDA | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 42.5999984741211 | 41.4000015258789 | 40.2000007629395 | 38.5 | 36.7999992370605 | 35.2999992370605 | 32.7999992370605 | 32.5 | 27 | 28.2000007629395 | 26.3999996185303 | 26.3999996185303 | 18.6000003814697 | 17.2999992370605 | 16.7000007629395 | 16.6000003814697 | 15.1999998092651 | 16.1000003814697 | 16.2999992370605 | 16.6000003814697 | 17.1000003814697 | 15.6000003814697
Madagascar | MDG | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 70.0999984741211 | 69.3000030517578 | 70 | 69.5 | 69.8000030517578 | 70.3000030517578 | 71.5 | 71.8000030517578 | 71.9000015258789 | 72.1999969482422 | 70.3000030517578 | 69.4000015258789 | 68.4000015258789 | 69.8000030517578 | 71.1999969482422 | 70.5 | 71.5 | 72.4000015258789 | 73.1999969482422 | 74 | 73.6999969482422 | 73.8000030517578
Maldives | MDV | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.6000003814697 | 13.1999998092651 | 13.6999998092651 | 14 | 14.5 | 15.6000003814697 | 16.7000007629395 | 17.6000003814697 | 18.2999992370605 | 19.7000007629395 | 21.5 | 23.5 | 25.6000003814697 | 27.3999996185303 | 30 | 32.7000007629395 | 31.2999992370605 | 31.7999992370605 | 31.5 | 31.2000007629395 | 31.2999992370605 | 31.7000007629395
Middle East & North Africa (all income levels) | MEA | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.6879285084576 | 10.40519466382058 | 10.18513082941485 | 10.29033381159269 | 10.23000419219512 | 10.3573223940501 | 10.56388007159208 | 10.55505513839938 | 11.44730040026584 | 10.35547888985914 | 9.640455673395877 | 10.4979969965829 | 10.89085747770437 | 11.14297186662674 | 10.43663668521452 | 10.19931044168674 | 10.15205349492805 | 9.606915599395098 | 9.302438149712541 | 9.055461815232674 | 8.770273493147569 | 9.0245151231435
Mexico | MEX | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 32.9000015258789 | 33.5 | 34.0999984741211 | 33.2999992370605 | 32 | 31.8999996185303 | 33.2000007629395 | 34.4000015258789 | 34.5999984741211 | 34.2000007629395 | 32.7000007629395 | 31.3999996185303 | 29.8999996185303 | 29.8999996185303 | 31.2000007629395 | 32.0999984741211 | 31.7999992370605 | 31.8999996185303 | 29.2000007629395 | 30.2999992370605 | 29.7000007629395 | 30.8999996185303
Marshall Islands | MHL | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Middle income | MIC | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 43.41324626110788 | 43.37842470368074 | 42.21501203495109 | 41.68733900655763 | 40.74291848325728 | 39.6616522208619 | 38.57438824181424 | 37.56353450516372 | 36.89845587582305 | 35.86125383312585 | 35.35895604865294 | 34.93055919617943 | 34.57340175039791 | 34.39521160377456 | 33.9922754295382 | 33.40603741686991 | 32.99182219058691 | 32.12092911132436 | 31.34588785476456 | 30.54391239270436 | 30.59757722172514 | 30.49182004103925
Macedonia, FYR | MKD | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 15 | 15.5 | 16.2000007629395 | 16.6000003814697 | 17.2000007629395 | 13.8999996185303 | 13.8999996185303 | 8.60000038146973 | 12.1000003814697 | 11.5 | 12.5 | 11.6999998092651 | 9.89999961853027 | 9.30000019073486 | 10.1999998092651 | 11.3999996185303 | 11.3999996185303 | 11.8999996185303 | 10.6000003814697 | 11.1000003814697 | 10.8000001907349 | 12.6999998092651
[NAME] | MLI | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 26.5 | 26.2000007629395 | 26.2999992370605 | 26.2999992370605 | 26.2000007629395 | 26.2999992370605 | 26.5 | 26.3999996185303 | 26.6000003814697 | 26.5 | 26.5 | 26.5 | 26.3999996185303 | 26.2999992370605 | 28.3999996185303 | 30.7000007629395 | 32.7999992370605 | 35.2000007629395 | 37.5 | 40.2999992370605 | 40.2000007629395 | 40.2000007629395
Malta | MLT | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 57.7999992370605 | 54.9000015258789 | 52.5 | 52.7999992370605 | 50.4000015258789 | 53.4000015258789 | 53.0999984741211 | 53 | 52 | 52.5999984741211 | 51.9000015258789 | 50 | 45.5 | 41.5 | 44.0999984741211 | 42.2000007629395 | 45.5 | 45.7000007629395 | 42.0999984741211 | 42.7999992370605 | 41.0999984741211 | 40.7000007629395
Myanmar | MMR | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 49.4000015258789 | 49.4000015258789 | 49.4000015258789 | 49.5 | 49.4000015258789 | 49.4000015258789 | 49.2999992370605 | 48.9000015258789 | 49.5999984741211 | 49.7999992370605 | 49.7999992370605 | 50 | 50.2999992370605 | 50.5 | 50.5999984741211 | 50.5999984741211 | 50.5999984741211 | 50.0999984741211 | 50.0999984741211 | 50.0999984741211 | 50 | 49.9000015258789
Middle East & North Africa (developing only) | MNA | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.65587779361148 | 10.47767780261368 | 10.20094089009566 | 10.16042777156887 | 10.00502119683959 | 10.22601212987797 | 10.44936560395571 | 10.43932543934451 | 11.23965110687753 | 10.06430123330254 | 9.315942263242107 | 10.34205143641773 | 10.83657348942267 | 11.11223883122051 | 10.20398569663546 | 9.953883479171315 | 9.867976119836666 | 9.251095664369675 | 8.869585729543687 | 8.537308570322756 | 8.14077801974957 | 8.238050042959873
Montenegro | MNE | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19.6000003814697 | 20.1000003814697 | 18.5 | 17.6000003814697 | 12.8999996185303 | 11.8000001907349 | 16.2999992370605 | 15.3999996185303 | 16.2000007629395 | 11.1000003814697 | 16.7000007629395 | 16.2999992370605 | 16 | 11.3999996185303 | 10.6000003814697 | 14.3000001907349 | 16.1000003814697 | 20.8999996185303 | 16.2000007629395 | 10.8999996185303 | 10 | 16.7000007629395
Mongolia | MNG | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 34.0999984741211 | 35.5 | 36 | 34.7999992370605 | 33.4000015258789 | 34 | 33.4000015258789 | 33.2000007629395 | 32.9000015258789 | 33.2000007629395 | 32.4000015258789 | 31.5 | 31.7999992370605 | 30.3999996185303 | 29.3999996185303 | 30.2999992370605 | 29.3999996185303 | 28.3999996185303 | 28.2000007629395 | 25.7999992370605 | 27.2999992370605 | 27.3999996185303
Northern Mariana Islands | MNP | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Mozambique | MOZ | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 69.1999969482422 | 68.8000030517578 | 69.9000015258789 | 70.0999984741211 | 70.0999984741211 | 71 | 71 | 70.1999969482422 | 69.1999969482422 | 68 | 67.5999984741211 | 66.5 | 65.3000030517578 | 64.9000015258789 | 64.5 | 64 | 63.5 | 63.0999984741211 | 62.5999984741211 | 62.2999992370605 | 62 | 61.7000007629395
Mauritania | MRT | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9.10000038146973 | 9.30000019073486 | 9.39999961853027 | 9.69999980926514 | 9.89999961853027 | 9.89999961853027 | 10.3000001907349 | 10.6999998092651 | 10.8999996185303 | 11.1000003814697 | 11.5 | 11.8999996185303 | 12.1999998092651 | 12.1999998092651 | 12.5 | 12 | 12.8999996185303 | 13.1000003814697 | 13.5 | 13.8000001907349 | 13.8999996185303 | 14
[NAME] | MUS | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 26.3999996185303 | 26.3999996185303 | 26.3999996185303 | 26.2999992370605 | 27.2999992370605 | 27.1000003814697 | 26.8999996185303 | 26.7999992370605 | 26.6000003814697 | 27.2000007629395 | 27.7000007629395 | 26.8999996185303 | 26 | 23.8999996185303 | 23 | 25.2999992370605 | 25.3999996185303 | 26 | 25 | 25.3999996185303 | 26 | 26
[NAME] | MWI | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 51.2000007629395 | 50.0999984741211 | 50.5999984741211 | 49.4000015258789 | 50.2999992370605 | 50 | 49.7999992370605 | 49.5999984741211 | 51.2999992370605 | 52.7000007629395 | 53.9000015258789 | 55.5999984741211 | 57.2000007629395 | 58.5 | 59.7999992370605 | 57.7000007629395 | 56 | 56.7999992370605 | 56.5999984741211 | 56.2999992370605 | 56 | 55.7999992370605
Malaysia | MYS | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 37.7000007629395 | 36.7000007629395 | 35.7999992370605 | 35.7999992370605 | 36.2999992370605 | 36.7000007629395 | 36.4000015258789 | 35.4000015258789 | 35.4000015258789 | 37.4000015258789 | 35.4000015258789 | 34.5 | 33.5999984741211 | 32.9000015258789 | 32.0999984741211 | 31.6000003814697 | 30.7999992370605 | 30 | 29.1000003814697 | 28.3999996185303 | 28.7000007629395 | 28.7999992370605
North America | NAC | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 51.64312256543829 | 50.86372188282488 | 51.21660542744218 | 52.49822415258069 | 52.48804194855087 | 52.64145801757853 | 52.99868817439559 | 54.2584083038615 | 54.25198313702706 | 54.52415324677494 | 53.12353744368301 | 51.35372112590864 | 49.8882808004875 | 49.58646881287555 | 50.09533193089823 | 50.06045983500015 | 49.66638554019539 | 48.17828418843528 | 44.90097131177451 | 42.84370120626895 | 42.45802739829178 | 42.9917851998255
Namibia | NAM | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21 | 20.8999996185303 | 20.7999992370605 | 22.7000007629395 | 20.7999992370605 | 19.1000003814697 | 17.2000007629395 | 16.7000007629395 | 16.2000007629395 | 15.1999998092651 | 15.6999998092651 | 19.5 | 17.6000003814697 | 17.2000007629395 | 19.3999996185303 | 18.5 | 21.2999992370605 | 13.3000001907349 | 15.6000003814697 | 17.2000007629395 | 16.8999996185303 | 16.8999996185303
New Caledonia | NCL | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
[NAME] | NER | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21.7999992370605 | 22.7000007629395 | 23.7999992370605 | 24.7999992370605 | 25.7999992370605 | 27 | 28.1000003814697 | 29.3999996185303 | 30.3999996185303 | 31.6000003814697 | 32.9000015258789 | 32.7000007629395 | 32.5999984741211 | 32.4000015258789 | 32.4000015258789 | 32.5 | 32.5999984741211 | 32.7999992370605 | 32.9000015258789 | 33.0999984741211 | 33.0999984741211 | 33.2999992370605
Nigeria | NGA | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 20 | 20.6000003814697 | 21.2999992370605 | 22 | 22.7000007629395 | 23.3999996185303 | 24.1000003814697 | 24.8999996185303 | 25.6000003814697 | 26.5 | 27.2999992370605 | 28.1000003814697 | 28.8999996185303 | 29.7999992370605 | 29.7999992370605 | 29.7999992370605 | 29.8999996185303 | 29.8999996185303 | 30 | 30 | 30 | 30.1000003814697
Nicaragua | NIC | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 25.5 | 25.1000003814697 | 24.6000003814697 | 24.7000007629395 | 24.2000007629395 | 24.5 | 24.7999992370605 | 24.2000007629395 | 25.3999996185303 | 26.5 | 26.7999992370605 | 27.2000007629395 | 24.7999992370605 | 26.2000007629395 | 27.3999996185303 | 28.2999992370605 | 28.7999992370605 | 28.1000003814697 | 27.8999996185303 | 27.2999992370605 | 27.5 | 27.8999996185303
Netherlands | NLD | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 52.5999984741211 | 55.5 | 53.4000015258789 | 53.9000015258789 | 53.9000015258789 | 54.2000007629395 | 55.9000015258789 | 59.2000007629395 | 62.5999984741211 | 66.8000030517578 | 69.0999984741211 | 69 | 68.1999969482422 | 65.9000015258789 | 65 | 65.1999969482422 | 68 | 68.9000015258789 | 68.5 | 63.4000015258789 | 64.3000030517578 | 64.1999969482422
High income: nonOECD | NOC | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 33.65043697561927 | 37.78161266455202 | 35.6831532249772 | 33.43979602085315 | 32.50387073092413 | 30.50377537250973 | 27.47859252005784 | 24.91395345497293 | 27.03944881169949 | 27.67954201098771 | 26.55784190573205 | 27.22279805890319 | 26.02619688182913 | 25.72984711871118 | 26.56198374757196 | 26.32487535310993 | 27.26817389111384 | 27.67449481951747 | 26.76176752432183 | 25.99390017987946 | 26.2726912671325 | 25.23179589551027
Norway | NOR | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 47.5 | 45.7000007629395 | 44.4000015258789 | 45.2999992370605 | 45.9000015258789 | 48.7999992370605 | 50.7000007629395 | 54.2999992370605 | 54.2000007629395 | 54 | 53.7999992370605 | 55.7999992370605 | 53.9000015258789 | 53.2999992370605 | 51.2000007629395 | 53.2999992370605 | 56.5 | 58.4000015258789 | 54.5999984741211 | 52.7999992370605 | 52.0999984741211 | 53.7999992370605
Nepal | NPL | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 76.6999969482422 | 76.9000015258789 | 76.6999969482422 | 76.5999984741211 | 76.5999984741211 | 75 | 76 | 77 | 78.5 | 77.1999969482422 | 75.6999969482422 | 76 | 76.0999984741211 | 75.5999984741211 | 74.6999969482422 | 74 | 73.5 | 72.9000015258789 | 72.8000030517578 | 72.5999984741211 | 72.5 | 72.4000015258789
New Zealand | NZL | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 52.4000015258789 | 50.9000015258789 | 50.5999984741211 | 52.7999992370605 | 55.2000007629395 | 56.0999984741211 | 55.2000007629395 | 53.4000015258789 | 51.5 | 52.2000007629395 | 52.7000007629395 | 53.5 | 53.2999992370605 | 52.5 | 53.4000015258789 | 55.2999992370605 | 56 | 54 | 49.4000015258789 | 48.2999992370605 | 48.2000007629395 | 47.2999992370605
High income: OECD | OEC | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 44.25428376059743 | 43.10319822355428 | 42.02716793767872 | 42.05850434888364 | 41.71966352641866 | 41.60699378752332 | 41.69196103693075 | 42.08814205017362 | 42.09480111847493 | 42.8444773516399 | 42.35635915950313 | 41.48353213661576 | 40.76971426118999 | 40.86045105173692 | 41.32188855532396 | 41.69428311466387 | 41.81445460386009 | 41.42551168009295 | 39.23221824903757 | 37.96434668779667 | 37.617228023747 | 37.56123978846361
OECD members | OED | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 42.30134340021847 | 41.19103127251874 | 39.89896864177615 | 40.09998264088878 | 39.52282212372813 | 39.41715222719786 | 39.42255109561572 | 39.9231132294274 | 40.01068085432993 | 40.23455181952244 | 39.60844047327979 | 38.72085907044146 | 37.77932486696259 | 37.68760374337719 | 38.17141342397556 | 38.57406360908262 | 38.6179105444806 | 38.35194231911752 | 36.23064153305291 | 35.4519674674763 | 35.16448058278039 | 35.23427892181845
Oman | OMN | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.8000001907349 | 13.3000001907349 | 12.8999996185303 | 12.8999996185303 | 12.8999996185303 | 13.3999996185303 | 13.8999996185303 | 14.6000003814697 | 15.3999996185303 | 15.6000003814697 | 15.6000003814697 | 15.8000001907349 | 16 | 16 | 16 | 16 | 16 | 15.6999998092651 | 16.1000003814697 | 16.2000007629395 | 16.5 | 16.8999996185303
Other small states | OSS | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 30.12095675675356 | 30.49540904864853 | 30.04991917490867 | 30.0566718964504 | 30.24835843787775 | 30.58607452528585 | 29.88313262218869 | 31.79179769807282 | 30.2894476101219 | 28.84648711298263 | 29.43168178525339 | 30.35554074411207 | 29.1963651636852 | 29.08096181130876 | 29.19398373103438 | 30.01450138357789 | 31.09487653045514 | 28.93395448514158 | 30.10441613053621 | 29.23028427639107 | 29.05370304468746 | 29.26951775500276
Pakistan | PAK | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.5 | 11.3999996185303 | 11.6000003814697 | 11.6000003814697 | 8.60000038146973 | 9.89999961853027 | 11.1000003814697 | 11.6000003814697 | 9.5 | 7.30000019073486 | 8.89999961853027 | 11.6999998092651 | 12.3999996185303 | 13.6999998092651 | 14.8999996185303 | 16.7999992370605 | 16.7999992370605 | 17.1000003814697 | 18.5 | 19.1000003814697 | 19.2999992370605 | 19.2999992370605
Panama | PAN | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19.7000007629395 | 21.1000003814697 | 22.6000003814697 | 22.7000007629395 | 22.8999996185303 | 22.2999992370605 | 23.3999996185303 | 22.5 | 24.2999992370605 | 23 | 21.8999996185303 | 21.8999996185303 | 23 | 23.2999992370605 | 26 | 24.1000003814697 | 25.5 | 27 | 27.2999992370605 | 26.3999996185303 | 28.6000003814697 | 28.5
Peru | PER | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 34.7999992370605 | 35.5 | 36.0999984741211 | 39 | 42.0999984741211 | 42.4000015258789 | 44.2000007629395 | 46.9000015258789 | 50.5999984741211 | 43.5999984741211 | 48.4000015258789 | 45.5 | 42.7000007629395 | 43.5999984741211 | 43.5 | 42.9000015258789 | 51.4000015258789 | 50.9000015258789 | 50.5999984741211 | 51.0999984741211 | 51.2000007629395 | 51.2999992370605
Philippines | PHL | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 30.8999996185303 | 32.2999992370605 | 31.3999996185303 | 30.7999992370605 | 32.5 | 32.0999984741211 | 30.3999996185303 | 30.3999996185303 | 29.8999996185303 | 28 | 30.8999996185303 | 27.7999992370605 | 29 | 27.2999992370605 | 29.6000003814697 | 28.6000003814697 | 27.3999996185303 | 27.2999992370605 | 28.7000007629395 | 30.2999992370605 | 30.8999996185303 | 30.7999992370605
Palau | PLW | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
[NAME] | PNG | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 57.5999984741211 | 56.4000015258789 | 54.5 | 53.7999992370605 | 54.5 | 54.2000007629395 | 54.7000007629395 | 56.0999984741211 | 56.0999984741211 | 56.7000007629395 | 57.0999984741211 | 57.5 | 57.7000007629395 | 57.5 | 57.5 | 57.4000015258789 | 56.9000015258789 | 56.2999992370605 | 55.9000015258789 | 55.2999992370605 | 55.2999992370605 | 55.2000007629395
Poland | POL | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 28.7000007629395 | 27.8999996185303 | 25.7999992370605 | 24 | 22.6000003814697 | 22.6000003814697 | 23.3999996185303 | 23.7999992370605 | 19.3999996185303 | 20.7999992370605 | 19.2999992370605 | 17.2999992370605 | 16.7000007629395 | 16.6000003814697 | 17.5 | 21.2000007629395 | 22.6000003814697 | 24 | 23.6000003814697 | 22.5 | 20.2999992370605 | 20.2000007629395
Puerto Rico | PRI | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.6999998092651 | 13.3000001907349 | 18 | 18.3999996185303 | 18.2999992370605 | 17.8999996185303 | 20.2999992370605 | 19.7999992370605 | 22.6000003814697 | 22.6000003814697 | 21.6000003814697 | 20.8999996185303 | 22.3999996185303 | 22.3999996185303 | 23.5 | 21.1000003814697 | 18.6000003814697 | 18.5 | 18.2999992370605 | 13.6000003814697 | 13.3000001907349 | 14.8999996185303
Korea, Dem. Rep. | PRK | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 74.3000030517578 | 74 | 73.6999969482422 | 73.4000015258789 | 72.9000015258789 | 70.1999969482422 | 69.5999984741211 | 69 | 68.9000015258789 | 68.1999969482422 | 67.4000015258789 | 67.0999984741211 | 66.4000015258789 | 65.5 | 64.6999969482422 | 63.7000007629395 | 62.2999992370605 | 61.0999984741211 | 60.5999984741211 | 60.4000015258789 | 60.0999984741211 | 59.5999984741211
Portugal | PRT | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 45.7999992370605 | 41.2000007629395 | 37.5999984741211 | 35.2000007629395 | 32.2000007629395 | 31.2999992370605 | 33.2999992370605 | 37.7999992370605 | 37.4000015258789 | 36 | 37 | 36.5 | 34.4000015258789 | 32.2999992370605 | 31.2000007629395 | 31.2999992370605 | 30.7000007629395 | 31 | 29.7999992370605 | 26.7000007629395 | 24.7999992370605 | 21.3999996185303
Paraguay | PRY | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 47.2000007629395 | 50.5999984741211 | 46.7000007629395 | 48 | 52.7999992370605 | 47.2000007629395 | 41.9000015258789 | 37.7999992370605 | 38 | 37.0999984741211 | 37.9000015258789 | 34.2000007629395 | 36.0999984741211 | 36.5 | 38.2000007629395 | 37 | 36.5 | 39.4000015258789 | 41.7999992370605 | 38.2000007629395 | 38.2000007629395 | 38
Pacific island small states | PSS | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
French Polynesia | PYF | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Qatar | QAT | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 30.6000003814697 | 28 | 26.7999992370605 | 25.3999996185303 | 24.2999992370605 | 23.3999996185303 | 21.8999996185303 | 23.6000003814697 | 24.7000007629395 | 25 | 25 | 24.2000007629395 | 23.6000003814697 | 22 | 25.1000003814697 | 28.7999992370605 | 32.5999984741211 | 33.9000015258789 | 34.2999992370605 | 33.4000015258789 | 31.7000007629395 | 30.5
Romania | [NAME] | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.7000007629395 | 41.2999992370605 | 39 | 36.7000007629395 | 35.2000007629395 | 33.0999984741211 | 34 | 33.0999984741211 | 32.7000007629395 | 32.2000007629395 | 30.6000003814697 | 25.7999992370605 | 23.3999996185303 | 25.5 | 21.5 | 20.7000007629395 | 20.2999992370605 | 20.2999992370605 | 20.7000007629395 | 20.3999996185303 | 20.3999996185303 | 20.2000007629395
Russian Federation | RUS | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 37.9000015258789 | 43.5 | 40.9000015258789 | 37.7000007629395 | 36.5999984741211 | 34.0999984741211 | 30 | 26.7999992370605 | 29.5 | 30.7000007629395 | 29.5 | 30.7999992370605 | 29.3999996185303 | 29.1000003814697 | 30 | 29.7999992370605 | 31.2999992370605 | 32.2000007629395 | 31.5 | 30.6000003814697 | 31 | 29.5
Rwanda | RWA | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 81 | 80.6999969482422 | 80.1999969482422 | 79.6999969482422 | 79.4000015258789 | 78.9000015258789 | 78.4000015258789 | 77.8000030517578 | 77.1999969482422 | 76.5999984741211 | 76 | 75.5999984741211 | 75.0999984741211 | 74.8000030517578 | 74.5999984741211 | 74.5 | 74.5 | 74.5999984741211 | 74.5999984741211 | 74.5999984741211 | 74.3000030517578 | 74
South Asia | SAS | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 29.27601621394517 | 29.05668873557124 | 28.66635426406116 | 28.74752588607418 | 27.87972065284897 | 27.60635174978216 | 26.88899240158916 | 27.090810454137 | 26.22968565740504 | 25.10892623698107 | 25.68195379148545 | 25.96339135537125 | 26.43702862743541 | 26.70729456835752 | 26.48053773809159 | 25.54839980854195 | 24.52315557630751 | 23.2009213785398 | 22.29990423096195 | 21.31204230893885 | 21.34564745993189 | 21.46814683559559
Saudi Arabia | SAU | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.59999990463257 | 3 | 3 | 4.40000009536743 | 4.40000009536743 | 3.29999995231628 | 3.5 | 3.70000004768372 | 6.30000019073486 | 5.40000009536743 | 5.09999990463257 | 4.69999980926514 | 3.79999995231628 | 3.79999995231628 | 5.19999980926514 | 4.40000009536743 | 4 | 3.59999990463257 | 3.09999990463257 | 3.20000004768372 | 4.30000019073486 | 3.29999995231628
[NAME] | SCE | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Sudan | SDN | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 17.7000007629395 | 17.3999996185303 | 16.8999996185303 | 17.7999992370605 | 18.6000003814697 | 19.5 | 18.7999992370605 | 19.2999992370605 | 19.3999996185303 | 19.3999996185303 | 19.6000003814697 | 19.6000003814697 | 19.6000003814697 | 19.7000007629395 | 19.7999992370605 | 19.7000007629395 | 19.7000007629395 | 19.7000007629395 | 19.7000007629395 | 19.7000007629395 | 19.8999996185303 | 19.8999996185303
Senegal | SEN | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 44.0999984741211 | 43.9000015258789 | 43.9000015258789 | 43.7999992370605 | 44 | 43.7999992370605 | 43.7999992370605 | 44 | 44 | 43.7999992370605 | 43.7999992370605 | 43.5 | 43.7999992370605 | 43.7000007629395 | 43.7000007629395 | 43.5 | 43.5999984741211 | 43.5 | 43.4000015258789 | 43.5 | 43.4000015258789 | 43.4000015258789
Singapore | SGP | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 50.7999992370605 | 50.5999984741211 | 49.4000015258789 | 47.5999984741211 | 47.5999984741211 | 44.4000015258789 | 42.0999984741211 | 35.7999992370605 | 38.0999984741211 | 43.2000007629395 | 35.5999984741211 | 30 | 30.3999996185303 | 31.8999996185303 | 33.2999992370605 | 35 | 33.5999984741211 | 33.5999984741211 | 29.2000007629395 | 33.7999992370605 | 31.7000007629395 | 32.9000015258789
Solomon Islands | SLB | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 35.5999984741211 | 36.0999984741211 | 36 | 36.2999992370605 | 36.5999984741211 | 36.4000015258789 | 36.4000015258789 | 36.5999984741211 | 36.5999984741211 | 36 | 36.2999992370605 | 36.5 | 36.9000015258789 | 36.9000015258789 | 37 | 36.5999984741211 | 36.5999984741211 | 36.5 | 35.9000015258789 | 36.2999992370605 | 36.4000015258789 | 36.0999984741211
Sierra Leone | SLE | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 43.7000007629395 | 43.7000007629395 | 43.9000015258789 | 43.9000015258789 | 43.7999992370605 | 43.7000007629395 | 43.7999992370605 | 44 | 44 | 44.2000007629395 | 44.4000015258789 | 44.5999984741211 | 44.5 | 47.5 | 47.5 | 47.4000015258789 | 47.4000015258789 | 47.2999992370605 | 47.2000007629395 | 47 | 46.7999992370605 | 46.5999984741211
El Salvador | SLV | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 30.2999992370605 | 29.3999996185303 | 30.2999992370605 | 31.2999992370605 | 28.2000007629395 | 26 | 26.6000003814697 | 30.7000007629395 | 30 | 29.2999992370605 | 28.5 | 28.2000007629395 | 30.5 | 28.3999996185303 | 28.7999992370605 | 29.6000003814697 | 28.2000007629395 | 30.2000007629395 | 29.2999992370605 | 30.3999996185303 | 30.5 | 30.6000003814697
[NAME] | SMR | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Somalia | SOM | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 29.1000003814697 | 29 | 29 | 28.7999992370605 | 28.8999996185303 | 28.7999992370605 | 28.7000007629395 | 28.5 | 28.5 | 28.2999992370605 | 28.2999992370605 | 28.1000003814697 | 28 | 28 | 27.8999996185303 | 27.7999992370605 | 27.7000007629395 | 27.6000003814697 | 27.5 | 27.5 | 27.5 | 27.5
Serbia | SRB | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 22.2999992370605 | 20.8999996185303 | 17.8999996185303 | 19.6000003814697 | 21 | 21 | 20.5 | 20.5 | 20.3999996185303 | 21.2000007629395 | 20.8999996185303 | 19.8999996185303 | 18.6000003814697 | 15.8000001907349 | 13.8000001907349 | 13.6999998092651 | 15 | 16 | 12.8000001907349 | 10.5 | 10.6999998092651 | 10.8999996185303
Sub-Saharan Africa (developing only) | SSA | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.86812886401206 | 41.96639107956566 | 42.08743762234086 | 42.60190228910133 | 42.84817824888132 | 42.60821872701457 | 42.61113417444903 | 42.87779904572922 | 42.86092578579796 | 43.25116399866117 | 43.40569104356643 | 43.82184575821767 | 43.98213007852437 | 44.44225588886886 | 44.70986521667331 | 44.54912382198348 | 44.70993972977081 | 44.61976563721616 | 44.50913613337745 | 44.44989153025416 | 44.44865416393016 | 44.50447101909695
South Sudan | SSD | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Sub-Saharan Africa (all income levels) | SSF | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.87792750287817 | 41.97657259837485 | 42.09634711157559 | 42.61019342219823 | 42.85598765085312 | 42.61691514710704 | 42.62096129238358 | 42.88531562236436 | 42.86856505717679 | 43.25862885599206 | 43.41436139319988 | 43.82955020181665 | 43.98990031636325 | 44.4507280608471 | 44.71764233328235 | 44.55691699597637 | 44.71851536128762 | 44.62843614609476 | 44.51738878576354 | 44.45834855015301 | 44.45746598483802 | 44.51314657683067
Small states | SST | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 28.92615413997609 | 29.37567727853455 | 28.98117314133695 | 29.08366564344044 | 28.77738649966034 | 28.84321900987545 | 28.42881239938368 | 29.64015760907886 | 28.39405005460839 | 27.73508561252097 | 27.99382201875573 | 28.73552778855405 | 28.3640015191164 | 28.33856158776172 | 28.66543072140648 | 29.48690942005745 | 30.28327128683737 | 28.49736367304432 | 28.85762732648169 | 27.86469786582945 | 27.87809861745891 | 27.84212956953941
Sao Tome and Principe | STP | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Suriname | SUR | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.6999998092651 | 10.6000003814697 | 10.6999998092651 | 12.1000003814697 | 13.3999996185303 | 10.8000001907349 | 10.1000003814697 | 9.19999980926514 | 5.69999980926514 | 5.69999980926514 | 6.09999990463257 | 6.19999980926514 | 6.5 | 6.69999980926514 | 6.69999980926514 | 7 | 7.09999990463257 | 7.09999990463257 | 7.19999980926514 | 7.30000019073486 | 7.40000009536743 | 7.30000019073486
Slovak Republic | SVK | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46.2000007629395 | 42.2999992370605 | 38 | 30.8999996185303 | 31.2000007629395 | 33.0999984741211 | 32.7000007629395 | 32.0999984741211 | 29.1000003814697 | 28.2000007629395 | 26.7000007629395 | 25.3999996185303 | 25.5 | 24.7000007629395 | 23 | 22.2999992370605 | 24.1000003814697 | 21.5 | 18.7000007629395 | 17.3999996185303 | 15.1999998092651 | 16
Slovenia | SVN | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 26.7000007629395 | 28 | 22.2000007629395 | 29.1000003814697 | 28.7999992370605 | 34.2000007629395 | 33.2000007629395 | 33.2000007629395 | 30.3999996185303 | 27.6000003814697 | 26 | 26 | 23.7999992370605 | 28.3999996185303 | 29.8999996185303 | 30.7999992370605 | 31.8999996185303 | 33.4000015258789 | 31.1000003814697 | 30.2999992370605 | 26.8999996185303 | 24.1000003814697
Sweden | SWE | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 58.0999984741211 | 51.4000015258789 | 41.5999984741211 | 40.2999992370605 | 40.4000015258789 | 37.2999992370605 | 36.4000015258789 | 38.5 | 40.5 | 42.7999992370605 | 45.7000007629395 | 43.9000015258789 | 42.7999992370605 | 40.2000007629395 | 40.5999984741211 | 41.7000007629395 | 42 | 41.5999984741211 | 38.4000015258789 | 38.4000015258789 | 40.0999984741211 | 40.5999984741211
Swaziland | SWZ | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 22.2000007629395 | 22.2000007629395 | 22.1000003814697 | 22 | 22.8999996185303 | 22.2999992370605 | 20.8999996185303 | 20.7999992370605 | 20.7000007629395 | 20.6000003814697 | 20.3999996185303 | 20.3999996185303 | 20.5 | 20.2999992370605 | 20.2999992370605 | 20.2999992370605 | 20.2999992370605 | 20.2999992370605 | 20.2000007629395 | 20.2000007629395 | 20.1000003814697 | 20.2999992370605
Sint Maarten (Dutch part) | SXM | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Seychelles | SYC | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Syrian Arab Republic | SYR | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.6000003814697 | 14.1999998092651 | 16.7000007629395 | 17.5 | 18.5 | 15.5 | 16.6000003814697 | 16.6000003814697 | 15.6000003814697 | 12.1000003814697 | 10.3999996185303 | 10.8999996185303 | 12.8000001907349 | 10.6999998092651 | 8.89999961853027 | 7 | 6.30000019073486 | 6 | 5.30000019073486 | 5.5 | 5.59999990463257 | 5.59999990463257
Turks and Caicos Islands | TCA | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Chad | TCD | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 49.7000007629395 | 49.4000015258789 | 49.2000007629395 | 49.5 | 49.2000007629395 | 49.2000007629395 | 49.4000015258789 | 49.4000015258789 | 49 | 48.9000015258789 | 49.4000015258789 | 49.2999992370605 | 49.5 | 50.0999984741211 | 49.0999984741211 | 48.7000007629395 | 48.7000007629395 | 48.7000007629395 | 48.5 | 49 | 48.5 | 48.5999984741211
Togo | TGO | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 51.7999992370605 | 52.2000007629395 | 52.0999984741211 | 54 | 54.2000007629395 | 54.7999992370605 | 55.0999984741211 | 55.4000015258789 | 56.0999984741211 | 56.5 | 56.9000015258789 | 57.5 | 58.2999992370605 | 58.5999984741211 | 59.0999984741211 | 59.7000007629395 | 59.5 | 59.4000015258789 | 59.2999992370605 | 59.2000007629395 | 59 | 58.7999992370605
Thailand | THA | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 67 | 65.3000030517578 | 61 | 57.4000015258789 | 56.2999992370605 | 55.2000007629395 | 54 | 47.7999992370605 | 44.7000007629395 | 45.4000015258789 | 43.7000007629395 | 43.2999992370605 | 42.0999984741211 | 42.9000015258789 | 43.2999992370605 | 38.0999984741211 | 40 | 38.5 | 38.0999984741211 | 37.7999992370605 | 38.5 | 38.7999992370605
Tajikistan | TJK | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 34.2000007629395 | 34.5999984741211 | 33.7999992370605 | 33.9000015258789 | 33.2000007629395 | 32.4000015258789 | 31.8999996185303 | 31.3999996185303 | 31.1000003814697 | 30.6000003814697 | 30.2999992370605 | 30 | 29.7000007629395 | 29.6000003814697 | 29.6000003814697 | 29.6000003814697 | 29.7000007629395 | 29.7999992370605 | 30 | 29.8999996185303 | 30 | 29.8999996185303
Turkmenistan | TKM | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 25.8999996185303 | 25.8999996185303 | 26.1000003814697 | 26.2999992370605 | 26 | 25.7999992370605 | 25.7999992370605 | 25.5 | 25.2999992370605 | 25.2000007629395 | 25 | 24.8999996185303 | 24.7000007629395 | 24.6000003814697 | 24.5 | 24.5 | 24.3999996185303 | 24.3999996185303 | 24.6000003814697 | 24.6000003814697 | 24.7000007629395 | 25
Timor-Leste | TLS | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 34.2000007629395 | 33.5999984741211 | 33 | 32.2000007629395 | 31.2999992370605 | 30.2999992370605 | 29.5 | 29.3999996185303 | 28.7999992370605 | 26.5 | 27.3999996185303 | 24.5 | 22 | 19.6000003814697 | 17.5 | 15.3999996185303 | 13.1000003814697 | 11.3000001907349 | 9.69999980926514 | 8.5 | 8.60000038146973 | 8.89999961853027
Tonga | TON | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Trinidad and Tobago | TTO | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 22.6000003814697 | 22.2000007629395 | 22.8999996185303 | 24.6000003814697 | 26.1000003814697 | 27.2000007629395 | 27.7000007629395 | 27.6000003814697 | 28.2000007629395 | 29.7000007629395 | 30.7000007629395 | 31 | 32 | 35.5 | 36.5 | 39.4000015258789 | 39.2000007629395 | 38.5999984741211 | 35.5999984741211 | 34 | 34.0999984741211 | 34.7000007629395
Tunisia | TUN | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19 | 18.8999996185303 | 18.7999992370605 | 19.6000003814697 | 19 | 19.2000007629395 | 19.2999992370605 | 17.7999992370605 | 17.7999992370605 | 17.3999996185303 | 17.2000007629395 | 16.6000003814697 | 16.5 | 16.2999992370605 | 16.1000003814697 | 16.1000003814697 | 15.8000001907349 | 15.3999996185303 | 14.6999998092651 | 14.5 | 14.6999998092651 | 14.8000001907349
Turkey | TUR | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 35.5999984741211 | 32.5999984741211 | 26.2999992370605 | 31 | 29.7000007629395 | 30.2999992370605 | 27.3999996185303 | 27.6000003814697 | 28.5 | 24.6000003814697 | 24.2000007629395 | 23.8999996185303 | 21.7000007629395 | 19.8999996185303 | 19.5 | 19.5 | 19.5 | 20 | 19.6000003814697 | 20.6000003814697 | 21.6000003814697 | 21.1000003814697
Tuvalu | TUV | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Tanzania | TZA | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 76 | 76.0999984741211 | 75.6999969482422 | 75.5 | 74.3000030517578 | 73.8000030517578 | 74.3000030517578 | 74.0999984741211 | 74.1999969482422 | 73.8000030517578 | 74 | 76.0999984741211 | 76.5999984741211 | 77.4000015258789 | 78.0999984741211 | 75.0999984741211 | 79 | 77.5999984741211 | 77.0999984741211 | 75.9000015258789 | 75 | 74.9000015258789
Uganda | UGA | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 63.9000015258789 | 64 | 64.4000015258789 | 64.3000030517578 | 64.3000030517578 | 64.3000030517578 | 64.3000030517578 | 64.3000030517578 | 64.3000030517578 | 63.7999992370605 | 63.2999992370605 | 63 | 61.7000007629395 | 60.5999984741211 | 58.7999992370605 | 58.5 | 58.0999984741211 | 56.9000015258789 | 55.2000007629395 | 54.9000015258789 | 54.7000007629395 | 54.5
Ukraine | UKR | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 35.2999992370605 | 34.5 | 33.7999992370605 | 35.7000007629395 | 36.7999992370605 | 34.9000015258789 | 33.2000007629395 | 30.7000007629395 | 29.7999992370605 | 29 | 28.7000007629395 | 29.6000003814697 | 29.6000003814697 | 31.7999992370605 | 30.6000003814697 | 31.1000003814697 | 31.7000007629395 | 31.8999996185303 | 30.2999992370605 | 29.7999992370605 | 29.3999996185303 | 30
Upper middle income | UMC | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 56.11950724674803 | 56.1154860881179 | 54.83813642648805 | 54.03666396545648 | 52.75907532988949 | 51.27820052842111 | 50.08972594340031 | 48.60052078066851 | 47.44718558289289 | 46.21822372418806 | 45.24154336136481 | 44.2280244788705 | 43.13994777365627 | 42.59734636632236 | 42.04010927876467 | 41.52515417182786 | 41.23134991109918 | 40.45577964726214 | 39.5662722791455 | 39.02164082464697 | 39.29971179467032 | 39.23707356448197
Uruguay | URY | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 35 | 35.9000015258789 | 35.9000015258789 | 37.5999984741211 | 38.7999992370605 | 39.2000007629395 | 38.2999992370605 | 35.0999984741211 | 35.5 | 35.7000007629395 | 37.2999992370605 | 35.5999984741211 | 33.7000007629395 | 31.8999996185303 | 32 | 29.3999996185303 | 31.8999996185303 | 34.2000007629395 | 34 | 34.5 | 36.2999992370605 | 36.5999984741211
United States | USA | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 51 | 50.4000015258789 | 51 | 52.4000015258789 | 52.4000015258789 | 52.7000007629395 | 53.2999992370605 | 54.5 | 54.2999992370605 | 54.4000015258789 | 52.7999992370605 | 50.7000007629395 | 49 | 48.7000007629395 | 49.2000007629395 | 49.0999984741211 | 48.5999984741211 | 46.9000015258789 | 43.5999984741211 | 41.4000015258789 | 41 | 41.7000007629395
Uzbekistan | UZB | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 25.7999992370605 | 26 | 25.7000007629395 | 25.7000007629395 | 25.6000003814697 | 25.3999996185303 | 25.3999996185303 | 25.3999996185303 | 25.3999996185303 | 25.3999996185303 | 25.2999992370605 | 25.2000007629395 | 25.2000007629395 | 25 | 25 | 25 | 25 | 25.1000003814697 | 25.2000007629395 | 25.2999992370605 | 25.5 | 25.6000003814697
St. Vincent and the Grenadines | VCT | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Venezuela, RB | VEN | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21.7999992370605 | 22 | 20.2000007629395 | 21.2999992370605 | 21.3999996185303 | 19.8999996185303 | 25.2000007629395 | 26.2999992370605 | 24 | 24.2000007629395 | 28.1000003814697 | 27.5 | 25.7000007629395 | 25.2999992370605 | 26.2999992370605 | 25.7999992370605 | 26.2999992370605 | 26.7999992370605 | 25.3999996185303 | 23.1000003814697 | 23.2000007629395 | 23.7999992370605
Virgin Islands (U.S.) | VIR | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Vietnam | VNM | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 70.9000015258789 | 70.0999984741211 | 68 | 68.5999984741211 | 68.4000015258789 | 68 | 66.0999984741211 | 65.8000030517578 | 64.0999984741211 | 63.7999992370605 | 61.4000015258789 | 62.2999992370605 | 61.0999984741211 | 60.4000015258789 | 59.5 | 58.2000007629395 | 57.2000007629395 | 56.2999992370605 | 56 | 55.9000015258789 | 56.7000007629395 | 57.2000007629395
[NAME] | VUT | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
West Bank and Gaza | PSE | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.5 | 3.40000009536743 | 3.29999995231628 | 3.40000009536743 | 3.29999995231628 | 3.5 | 3.79999995231628 | 4.5 | 4.69999980926514 | 4.5 | 4.30000019073486 | 3.79999995231628 | 4.19999980926514 | 4.30000019073486 | 4.40000009536743 | 4.5 | 5.09999990463257 | 5.09999990463257 | 5 | 4.19999980926514 | 5.30000019073486 | 5.19999980926514
World | WLD | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 44.44871328025082 | 44.36004036574266 | 43.31213219044572 | 42.8575690033668 | 42.06638819540449 | 41.19457139794815 | 40.29620730731833 | 39.54351067864892 | 39.09503453099642 | 38.42905804487125 | 37.99590685998031 | 37.64499766086396 | 37.3165022550677 | 37.19623921252866 | 36.9440114647936 | 36.53549086108875 | 36.29880316610142 | 35.62285394341953 | 34.78876267987651 | 34.13765596670363 | 34.20470319734404 | 34.16583171119388
Samoa | WSM | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS
Yemen, Rep. | YEM | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.90000009536743 | 8.5 | 9 | 7.80000019073486 | 8.69999980926514 | 9.69999980926514 | 9.80000019073486 | 9.80000019073486 | 11.5 | 10.1999998092651 | 11.6999998092651 | 11.8000001907349 | 11.8000001907349 | 12 | 11 | 11.3000001907349 | 11.5 | 11.6999998092651 | 12 | 9.89999961853027 | 10.1000003814697 | 10.3999996185303
South Africa | ZAF | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.1000003814697 | 14.1999998092651 | 12.8999996185303 | 16.2999992370605 | 18.2000007629395 | 15.6000003814697 | 14.1999998092651 | 14.8000001907349 | 14 | 14.8000001907349 | 13.3999996185303 | 12.6000003814697 | 11.1999998092651 | 11.1000003814697 | 12.1000003814697 | 13.6999998092651 | 12.8000001907349 | 13.8999996185303 | 12.3000001907349 | 10.8000001907349 | 10.8000001907349 | 10.1000003814697
Congo, Dem. Rep. | COD | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 43.5999984741211 | 43.5999984741211 | 43.5 | 43.9000015258789 | 44.0999984741211 | 44 | 43.7999992370605 | 44 | 43.7999992370605 | 43.7000007629395 | 43.9000015258789 | 44.0999984741211 | 44.2000007629395 | 44.2000007629395 | 44.2000007629395 | 43.7999992370605 | 43.5 | 43.2000007629395 | 42.7000007629395 | 42.5999984741211 | 42.4000015258789 | 42.2000007629395
Zambia | ZMB | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46.5 | 46.2999992370605 | 45.7000007629395 | 46.4000015258789 | 47 | 50.2000007629395 | 51.0999984741211 | 53.7000007629395 | 53.5 | 52.9000015258789 | 50.7000007629395 | 51.0999984741211 | 51 | 51.7000007629395 | 51.2999992370605 | 50.5 | 50.2999992370605 | 50.5 | 49.7999992370605 | 49.2000007629395 | 48.9000015258789 | 49.7000007629395
Zimbabwe | ZWE | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 47.4000015258789 | 47.2000007629395 | 46.7999992370605 | 47.4000015258789 | 46.7999992370605 | 46.2000007629395 | 45.2999992370605 | 44.2999992370605 | 43.4000015258789 | 49 | 54.7999992370605 | 60.9000015258789 | 66.6999969482422 | 72.0999984741211 | 72.0999984741211 | 72.0999984741211 | 72 | 71.3000030517578 | 72.4000015258789 | 72.4000015258789 | 72.4000015258789 | 72.1999969482422