Spreadsheet: 4c0fafef-e368-4813-8b75-8a5b3a05b0b7
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 | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11 |  |  | 14.6000003814697 |  |  | 24.5 |  |  |  |  |  |  |  |  |  | 22.8999996185303
Andorra | AND | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Afghanistan | AFG | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Angola | AGO | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Albania | ALB | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 27.1000003814697 |  |  |  |  |  | 15.8000001907349 | 23.7999992370605 | 22.2000007629395 | 20.7000007629395
Arab World | ARB | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
United Arab Emirates | ARE | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.69999980926514 |  |  |  |  |  |  |  |  |  | 12.8999996185303 |  |  | 21.7999992370605
Argentina | ARG | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 15.6000003814697 | 12.1999998092651 | 11.8999996185303 | 25.2999992370605 | 26.7000007629395 |  | 37.5999984741211 | 28.8999996185303 | 26.1000003814697 | 25.2000007629395 | 31 | 32.7000007629395 |  | 39 | 31.3999996185303 | 28 | 29.2999992370605 | 25.2000007629395 | 22.2000007629395 | 24.7000007629395 | 23.6000003814697 | 22.2000007629395 | 23.1000003814697
Armenia | ARM | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 56.4000015258789 |  |  |  |  |  | 69.4000015258789 | 43.0999984741211 | 47.2000007629395 | 48 | 45
American Samoa | ASM | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.8000001907349
[NAME] and [NAME] | ATG | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21.6000003814697
Australia | AUS | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.8999996185303 | 12.8999996185303 | 14.5 | 17 | 15.8999996185303 | 14.6999998092651 | 14.8000001907349 | 14.8000001907349 | 13.5 | 11.6999998092651 | 12.8000001907349 | 16.3999996185303 | 17.7999992370605 | 17.5 | 16.3999996185303 | 14.8000001907349 | 14.8000001907349 | 14.6999998092651 | 13.8000001907349 | 12.6000003814697 | 11.3000001907349 | 12.3000001907349 | 11.6999998092651 | 11.3000001907349 | 10.8999996185303 | 10.3999996185303 | 9.5 | 9.19999980926514 | 8.60000038146973 | 10.3999996185303 | 11.1000003814697 | 10.8000001907349 | 11
Austria | AUT | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.40000009536743 | 7.90000009536743 | 5.30000019073486 | 4.40000009536743 | 4.40000009536743 | 5.40000009536743 | 5 | 4.69999980926514 | 3.79999995231628 | 3.40000009536743 | 4 | 4.59999990463257 | 5.19999980926514 | 5.59999990463257 | 6.5 | 7.09999990463257 | 6.59999990463257 | 5.69999980926514 | 5.19999980926514 | 5.5 | 5.80000019073486 | 6.5 | 10.1000003814697 | 9.89999961853027 | 9.30000019073486 | 9.10000038146973 | 8.19999980926514 | 9.39999961853027 | 8.80000019073486 | 8.80000019073486 | 8.69999980926514
Azerbaijan | AZE | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19.8999996185303 |  |  |  |  |  |  |  | 10.3999996185303 | 9.80000019073486 | 14.8999996185303 | 13.3999996185303 | 15.1999998092651 | 16.2999992370605
Burundi | BDI | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.400000005960464
Belgium | BEL | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 28.8999996185303 | 30.2999992370605 | 29.7000007629395 | 26.8999996185303 | 28.6000003814697 | 23.3999996185303 | 20.2000007629395 | 19.2000007629395 | 17.1000003814697 | 15.1999998092651 | 19.6000003814697 | 23.3999996185303 | 23.7000007629395 | 24.3999996185303 | 25.7000007629395 | 23 | 22.3999996185303 | 18.2000007629395 | 16.6000003814697 | 18.2999992370605 | 21.2999992370605 | 22.3999996185303 | 22.1000003814697 | 22.6000003814697 | 20.8999996185303 | 18.7000007629395 | 22.5 | 22.3999996185303 | 18.7000007629395 | 18.8999996185303
Benin | [NAME] | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.699999988079071 |  |  |  |  |  |  |  |  |  | 0.600000023841858
[NAME] | BFA | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.90000009536743
Bangladesh | BGD | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8 | 9.39999961853027 | 6.59999990463257 |  |  | 2.29999995231628 |  |  |  |  |  |  | 5.69999980926514 |  |  |  | 10.3000001907349 |  |  | 5.80000019073486 |  | 13.6000003814697
Bulgaria | BGR | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 29.6000003814697 | 35.4000015258789 | 31.5 | 24.1000003814697 | 23.7999992370605 | 21 | 20.2999992370605 | 16 | 11.3000001907349 | 13.8000001907349 | 21.7000007629395 | 23.7000007629395 | 26
Bahrain | BHR | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 33.9000015258789 |  |  |  |  |  |  |  |  |  | 27 |  |  | 32.5999984741211 |  |  |  |  |  | 11.6000003814697
Bahamas, The | BHS | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19.5 | 24.5 | 30.8999996185303 | 26.6000003814697 | 28 | 24 | 29.6000003814697 | 28.3999996185303 | 21.7000007629395 | 21.8999996185303 |  | 16.6000003814697 | 21.8999996185303 | 28.2000007629395 | 26.8999996185303 | 24.1000003814697 |  | 21.7000007629395 | 20.1000003814697 |  |  | 30.2999992370605 | 32.2000007629395
Bosnia and Herzegovina | BIH | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 65.5999984741211 | 62.2999992370605 | 51.9000015258789 | 52.9000015258789 | 62.2999992370605 | 60 | 62.7999992370605
Belarus | BLR | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.6000003814697
Belize | BLZ | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4 |  |  |  | 31.7000007629395 | 33.2000007629395 | 36 | 35.9000015258789 | 34.7000007629395 |  |  |  |  |  | 28.7999992370605
Bermuda | BMU | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.59999990463257
Bolivia | BOL | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7 |  |  |  |  | 10.3999996185303 | 10 | 11.8000001907349 |  |  | 10.6999998092651 |  |  | 8.39999961853027 | 7.80000019073486
Brazil | BRA | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.90000009536743 | 5.19999980926514 | 7.40000009536743 | 8.10000038146973 | 5.69999980926514 | 6.80000019073486 |  | 15 | 14.1999998092651 |  | 14.1000003814697 | 16.1000003814697 | 18.3999996185303 | 22.2999992370605 | 23 | 32 | 22.3999996185303 | 22.7999992370605 | 24.5 | 23.2999992370605 | 24.8999996185303 | 23 | 21.8999996185303 | 20.5 | 23.1000003814697 |  | 19.7999992370605
Barbados | BRB | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 39.2000007629395 |  |  | 45.7999992370605 | 47.4000015258789 | 41.5 | 34.0999984741211 | 40.5 | 37.2999992370605 | 48.2999992370605 | 45.2000007629395 | 50.4000015258789 | 42.4000015258789 | 31.2999992370605 | 34.7999992370605 | 29.3999996185303 | 26.7999992370605 | 21.7999992370605 | 26 | 25.8999996185303 | 28.7000007629395
[NAME] | BRN | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Bhutan | BTN | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.19999980926514 | 10.1999998092651 |  |  | 14.6999998092651 | 11 | 10.8999996185303 | 7.19999980926514
Botswana | BWA | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 45.4000015258789 |  |  |  |  |  | 33.2999992370605 |  |  | 45.7000007629395 |  | 42.4000015258789 |  | 15.3000001907349 |  | 14
Sub-Saharan Africa (IFC classification) | CAA | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Central African Republic | CAF | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Canada | CAN | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.1999998092651 | 11.6999998092651 | 15.5 | 16.3999996185303 | 15.3999996185303 | 14.3000001907349 | 13.3000001907349 | 11.8999996185303 | 10.5 | 9.60000038146973 | 11 | 12.8999996185303 | 14.5 | 14.3999996185303 | 13.6999998092651 | 13.1999998092651 | 13.8000001907349 | 15.3000001907349 | 13.6000003814697 | 12.6999998092651 | 11.3999996185303 | 11.1000003814697 | 11.6999998092651 | 11.8999996185303 | 11.8000001907349 | 10.6000003814697 | 10.3999996185303 | 10 | 10 | 12.3000001907349 | 12.3999996185303 | 12.3999996185303 | 12.6000003814697
East Asia and the Pacific (IFC classification) | CEA | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Europe and Central Asia (IFC classification) | CEU | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Switzerland | CHE | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.20000004768372 | 3.40000009536743 | 4.30000019073486 | 6.90000009536743 | 6.09999990463257 | 5.30000019073486 | 4.09999990463257 | 3.79999995231628 | 7 | 5.69999980926514 | 4.09999990463257 | 5.5 | 3.90000009536743 | 8.69999980926514 | 7.40000009536743 | 9.10000038146973 | 7.5 | 7.40000009536743 | 7.40000009536743 | 9 | 8.39999961853027 | 7.80000019073486 | 8.10000038146973
Channel Islands | CHI | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Chile | CHL | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 29.6000003814697 | 27 | 29.2000007629395 | 25.2999992370605 | 18.8999996185303 |  | 18 | 15.3000001907349 | 12.3999996185303 | 15.1999998092651 | 13.1999998092651 | 12.1000003814697 | 15.3000001907349 | 12.6999998092651 | 18.5 | 18.2999992370605 | 18.1000003814697 | 24.8999996185303 | 24.7999992370605 | 23.2000007629395 | 24.2000007629395 | 24.8999996185303 | 24.6000003814697 | 23.7999992370605 | 21.6000003814697 | 20.7999992370605 | 23 | 24.3999996185303 | 21.7000007629395 | 21.1000003814697 | 19.1000003814697
China | CHN | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Cote d'Ivoire | CIV | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Latin America and the Caribbean (IFC classification) | CLA | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Middle East and North Africa (IFC classification) | CME | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Cameroon | CMR | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Congo, Rep. | COG | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Colombia | COL | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 24.7999992370605 | 21.8999996185303 | 22.1000003814697 | 21 | 21.7999992370605 | 27 | 28.2999992370605 | 34.2999992370605 | 41.5999984741211 |  |  |  | 31 | 28.2000007629395 | 28.2999992370605 | 29.2999992370605 | 29.6000003814697 | 29.6000003814697 | 30.8999996185303 | 30.5 | 28.8999996185303
Comoros | COM | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Cabo Verde | CPV | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 42.0999984741211
Costa Rica | CRI | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.1999998092651 | 14.5 | 16.5 | 14.1999998092651 | 8.69999980926514 | 12 | 11.1999998092651 | 13.3999996185303 | 13.3999996185303 | 9 | 10 | 13.1999998092651 | 9.5 | 9.5 | 11.1000003814697 | 13 | 16.2999992370605 | 16 | 17.1000003814697 | 16 | 14.5 | 16.3999996185303 | 17.2000007629395 | 18 | 18.5 | 21.5 | 19.5 | 14.8000001907349 | 13.3999996185303 |  | 20.8999996185303 | 21.6000003814697 | 24.2000007629395
South Asia (IFC classification) | CSA | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Caribbean small states | CSS | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 43.90855100846025 | 38.44713413759448 | 40.85284009846455 | 40.28563778132541 |  | 39.18732435676397 | 41.56217166754249 |  | 39.07998067134513 | 40.54251083124868 |  |  | 33.57587613658808
Cuba | CUB | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.40000009536743 |  | 3.59999990463257 | 3.20000004768372 | 3.5
[NAME] | CUW | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Cayman Islands | CYM | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9.10000038146973 | 11.3000001907349 | 13.3000001907349
Cyprus | CYP | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.5 | 10.3999996185303 | 7.30000019073486 | 8.69999980926514 | 9.5 | 14.6000003814697 | 11.1999998092651 | 9.5 | 9.39999961853027 | 14 | 17.2000007629395 | 21.2999992370605 | 26.6000003814697
Czech Republic | CZE | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.09999990463257 |  | 10.5 | 9.80000019073486 | 8.69999980926514 | 8.30000019073486 | 10.3000001907349 | 14.8000001907349 | 18.5 | 17.3999996185303 | 17.2999992370605 | 17.2999992370605 | 18.7999992370605 | 19.5 | 19.1000003814697 | 18.6000003814697 | 11 | 9.89999961853027 | 16.7000007629395 | 18.5 | 17.8999996185303 | 19
Germany | DEU | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6 | 6.80000019073486 | 7.80000019073486 | 8.30000019073486 | 8 | 9 | 9.60000038146973 | 8.19999980926514 | 7.90000009536743 | 7.5 | 7.09999990463257 | 8 | 8.60000038146973 | 10.8000001907349 | 14 | 12.6000003814697 | 11.1000003814697 | 10 | 9.80000019073486 | 8.80000019073486 | 7.80000019073486 | 7.40000009536743
Djibouti | DJI | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Dominica | DMA | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 29.2999992370605 |  |  |  |  |  |  |  | 46.2999992370605 |  | 35.7000007629395 |  | 25.3999996185303
Denmark | DNK | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19.7000007629395 | 15.6999998092651 | 13.3000001907349 | 9.39999961853027 | 10 | 9 | 12.3999996185303 | 11.6000003814697 | 12.3000001907349 | 12.6000003814697 | 14.6999998092651 | 10.1999998092651 | 12.3000001907349 | 12.3999996185303 | 9.89999961853027 | 7.59999990463257 | 10.5 | 7 | 9.30000019073486 | 7.5 | 9.19999980926514 | 7.40000009536743 | 8.60000038146973 | 7.5 | 7.40000009536743 | 8.69999980926514 | 10.3000001907349 | 11.8000001907349 | 12.6999998092651 | 13.5
Dominican Republic | DOM | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 48.2000007629395 | 53 | 52.4000015258789 | 40.7000007629395 | 41.5 | 44 | 44.0999984741211 |  |  | 34.2999992370605 |  | 22.2000007629395 |  |  |  |  | 44.5 |  |  |  | 40.7999992370605
Algeria | DZA | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46.2999992370605 |  |  |  |  | 34.5 | 37.5 | 38.2000007629395
East Asia & Pacific (developing only) | EAP | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
East Asia & Pacific (all income levels) | EAS | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Europe & Central Asia (developing only) | ECA | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19.21094834421551 |  |  |  |  | 20.22411355628528 | 20.7136835611016 | 20.35675906546991 | 19.28807978750511
Europe & Central Asia (all income levels) | ECS | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 18.58818959748756 | 20.56037192504755 | 21.64593845697556 | 22.22077616967163 | 22.09492653540095 | 22.7879921016121 | 22.25509028133646 | 21.90164792769577 | 20.0479004747835 | 19.32098029768044 | 19.39842160586973 | 19.97871005468376 | 19.8792476489685 | 19.41946330046949 | 19.72357640745474 | 17.94027652974133 | 17.36146858537997 | 19.80882749174285 | 20.43117785315907 | 20.56098154558341 | 21.20563182790054
Ecuador | ECU | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 17.2999992370605 | 23.7000007629395 |  |  | 17.7999992370605 | 18.6000003814697 | 26 | 24.5 | 31.8999996185303 |  |  | 26.7000007629395 | 25.5 | 24.8999996185303 | 23.2999992370605 | 20.6000003814697 | 22.8999996185303 | 13 | 16.7000007629395 | 18.1000003814697 | 17.1000003814697 | 15
Egypt, Arab Rep. | EGY | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 42.7999992370605 | 36.7000007629395 |  | 51.0999984741211 | 40 |  |  | 62.2000007629395 | 55.2000007629395 | 47.9000015258789 | 53.9000015258789 | 56.0999984741211 | 54.0999984741211
Euro area | EMU | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 29.58166764429189 |  | 33.31813714709085 |  | 32.70097702228266 | 31.42281533686507 | 29.20671201681204 | 27.4999160199918 | 21.73289214016406 | 22.74800714795647 | 25.7373875940237 | 27.13975675929936 | 27.59050142378663 | 28.04148738103412 | 27.80364832978016 | 25.45525162387582 | 24.31091848832212 | 21.43302916514383 | 19.15426723363278 | 19.41250956056304 | 19.2572162378043 | 19.77960473293815 | 20.11697996847993 | 19.27448491380496 | 17.55448221222992 | 17.49274671374033 | 21.00337299546614 | 22.18280851821886 | 23.27020237101527 | 25.82794809605197
Eritrea | ERI | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Spain | ESP | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 28.7999992370605 | 35.0999984741211 | 39 | 43.2999992370605 | 47.9000015258789 | 50.5999984741211 | 49.7000007629395 | 49.0999984741211 | 47.5999984741211 | 42.5 | 39.7000007629395 | 37.9000015258789 | 40.5 | 47.2999992370605 | 50.0999984741211 | 49.2000007629395 | 48.9000015258789 | 46 | 43 | 36.9000015258789 | 32.9000015258789 | 27 | 27.2999992370605 | 27.2000007629395 | 26.3999996185303 | 23.5 | 21.6000003814697 | 21.8999996185303 | 25.7999992370605 | 36.4000015258789 | 39.7999992370605 | 44.4000015258789 | 51.7999992370605
Estonia | EST | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 15.3999996185303 | 11.8000001907349 | 21.7999992370605 | 22 | 33.9000015258789 | 22 | 30.2999992370605 | 23.7000007629395 | 14.6999998092651 | 14.6000003814697 | 7 | 11.3000001907349 | 22 | 30 | 20.7000007629395 | 17.8999996185303
Ethiopia | ETH | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3 |  |  |  |  |  |  |  |  |  |  |  |  | 40.5 | 11.1999998092651 | 29.3999996185303
European Union | EUU | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19.46478680743889 | 21.50487311579416 | 23.91175091865837 | 24.97076885456228 | 24.99879981152743 | 25.08030446449576 | 24.28143327707387 | 22.29817445531711 | 22.15141211322514 | 21.01325661605599 | 20.25733557214237 | 20.84621547155776 | 20.70890301178108 | 20.81503530876014 | 20.70734338156566 | 19.51937298004134 | 17.35596082222527 | 16.8694505973517 | 20.19073133942421 | 21.87169144795831 | 23.00098563229644 | 24.80444503429075
Finland | FIN | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9.19999980926514 | 9.60000038146973 | 10.1000003814697 | 10.8000001907349 | 10.3000001907349 | 8.69999980926514 | 8.39999961853027 | 8.10000038146973 | 7.30000019073486 | 8.69999980926514 | 8.30000019073486 | 13.1999998092651 | 22.7000007629395 | 30.3999996185303 | 30.7000007629395 | 28.7000007629395 | 26 | 25 | 24.5 | 22.2000007629395 | 21.7999992370605 | 20.2000007629395 | 20.5 | 21.5 | 19.3999996185303 | 19.3999996185303 | 18.3999996185303 | 16.7999992370605 | 16.2000007629395 | 18.7999992370605 | 18.8999996185303 | 18.3999996185303 | 17.8999996185303
Fiji | FJI | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 28 |  |  |  |  |  |  |  |  |  |  |  |  |  | 16.7999992370605 |  |  |  |  |  |  |  |  |  |  | 25.3999996185303
France | FRA | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 23.8999996185303 | 28.7000007629395 | 28.7999992370605 | 26.3999996185303 | 27.1000003814697 | 25.2999992370605 | 23 | 23 | 22.6000003814697 | 25 | 27.7000007629395 | 30.5 | 30.6000003814697 | 30.2999992370605 | 31.1000003814697 | 28.3999996185303 | 28.2000007629395 | 22.6000003814697 | 20.5 | 20.7999992370605 | 18.7999992370605 | 20.3999996185303 | 21.8999996185303 | 23.2000007629395 | 20.1000003814697 | 18.7000007629395 | 22.2999992370605 | 23.6000003814697 | 23.1000003814697 | 23.7000007629395
Faeroe Islands | FRO | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.5
Micronesia, Fed. [NAME]. | FSM | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Gabon | GAB | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 40.2000007629395
United Kingdom | GBR | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 18.2000007629395 | 16.1000003814697 | 16.2000007629395 | 14.6999998092651 | 11.6000003814697 | 9 | 9 | 11.1000003814697 | 11.5 | 13.1999998092651 | 12.6000003814697 | 12.1999998092651 | 11.1000003814697 | 11.1000003814697 | 10.5 | 10.1000003814697 | 10.1000003814697 | 8.69999980926514 | 8.80000019073486 | 9.5 | 9.89999961853027 | 10.6999998092651 | 11.8000001907349 | 12.5 | 12 | 15.6999998092651 | 16.8999996185303 | 17.7000007629395 | 17.8999996185303
Georgia | GEO | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 24.7999992370605 | 20.5 | 19.7999992370605 | 27.2999992370605 | 31.7000007629395 | 33.2999992370605 | 30.6000003814697 | 31.2000007629395 | 36.7999992370605 | 40.7000007629395
Ghana | GHA | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 18.8999996185303 |  |  |  |  |  |  | 19.3999996185303 | 16.7000007629395
Guinea | GIN | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Gambia, The | GMB | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Guinea-Bissau | GNB | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Equatorial Guinea | GNQ | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Greece | GRC | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 17.7999992370605 | 25.6000003814697 | 30.1000003814697 | 31.8999996185303 | 32 | 34.2000007629395 | 33.7999992370605 | 36 | 34 | 32.5999984741211 | 33.5 | 34.2000007629395 | 38.7999992370605 | 36.9000015258789 | 37.7000007629395 | 41.2999992370605 | 40.5999984741211 | 39.2999992370605 | 41 | 37.7000007629395 | 35.7000007629395 | 35.2999992370605 | 36.5999984741211 | 36.2999992370605 | 34.7999992370605 | 34.7000007629395 | 32.0999984741211 | 28.8999996185303 | 33.9000015258789 | 40.5999984741211 | 51.5 | 63.2000007629395
Grenada | GRD | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 26.7000007629395 |  |  | 58.7999992370605 |  | 44.9000015258789 |  | 39.4000015258789
Greenland | GRL | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Guatemala | GTM | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8 | 13.6000003814697
Guam | GUM | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 18 |  |  | 16.1000003814697 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 27.1000003814697 |  | 12.6000003814697 | 13.5 | 13.5 | 19.3999996185303 |  | 25.6000003814697 |  | 28.8999996185303
Guyana | GUY | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 44.7000007629395 |  |  |  |  | 38.2999992370605 |  |  |  |  |  |  |  |  |  | 31.2999992370605
High income | HIC | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 17.80842647539277 | 17.65670130708641 | 17.25016892666726 | 16.60808237818317 | 15.48115438047213 | 14.36851039030755 | 14.01848834085528 | 14.16105800056054 | 15.10154506024842 | 16.1173263645012 | 16.71365066439181 | 17.07340651163168 | 17.26450366810374 | 17.44249888462206 | 17.534621300713 | 17.50118480610708 | 16.25764535901505 | 15.72483944742692 | 16.06207254553091 | 16.03373443922409 | 15.8278869597368 | 15.12126784020897 | 15.43342526839373 | 13.98800016672774 | 14.50176337828553 | 17.595075406754 | 17.06373431437597 | 17.99507189854199 | 18.4024655053928
Hong Kong SAR, China | HKG | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.19999980926514 | 3.70000004768372 | 4.90000009536743 | 5.69999980926514 | 5.90000009536743 | 5.30000019073486 | 5.40000009536743 | 3.90000009536743 | 3.09999990463257 | 2.40000009536743 | 3.29999995231628 | 3.59999990463257 | 3.90000009536743 | 4.09999990463257 | 3.59999990463257 | 5.90000009536743 | 5.59999990463257 | 4.59999990463257 | 9 |  | 10.3999996185303 | 9.19999980926514 | 11.8999996185303 | 11.6999998092651 | 9.19999980926514 | 7.90000009536743 | 8.10000038146973 | 7.19999980926514 | 6.90000009536743 | 10.1999998092651 | 10.3000001907349 | 7.80000019073486 | 7.80000019073486
Honduras | HND | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.60000038146973 | 6.90000009536743 |  |  |  |  | 7.90000009536743 |  | 7.5 | 8.39999961853027 | 12.1000003814697 | 15.3999996185303 | 11.1999998092651 |  |  |  |  |  | 13.8000001907349
Heavily indebted poor countries (HIPC) | HPC | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Croatia | HRV | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 38.5999984741211 |  |  |  |  |  |  | 28.7000007629395 |  |  | 43.7999992370605 | 38.9000015258789 | 38.5 | 37.2999992370605 | 35.0999984741211 | 31.2000007629395 | 28.5 | 27.2000007629395 | 28.3999996185303 | 35 | 36.7999992370605 | 44.2999992370605
Haiti | HTI | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21.7000007629395 |  |  |  |  | 60 |  | 24.3999996185303 |  |  |  |  |  |  |  |  | 21.1000003814697
Hungary | HUN | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 15 | 18.2000007629395 | 16.5 | 15.6000003814697 | 16.3999996185303 | 14.5 | 11.6999998092651 | 11.5 | 11.1999998092651 | 10 | 11.8999996185303 | 12.8999996185303 | 14.3999996185303 | 19.1000003814697 | 19.7999992370605 | 18.6000003814697 | 20.8999996185303 | 24.2000007629395 | 24.8999996185303 | 24.6000003814697 | 27.2999992370605
Indonesia | IDN | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9.39999961853027 |  |  | 6.40000009536743 | 7.69999980926514 |  | 8.80000019073486 | 8.89999961853027 |  |  | 9.10000038146973 |  |  |  | 17 |  |  | 20.5 | 20.1000003814697 | 26.5 |  | 31.5 | 33.5 | 37.7000007629395 | 34.2999992370605 | 27.2999992370605 | 25.5 | 23
Isle of Man | IMN | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.90000009536743 |  |  |  |  | 5.30000019073486 |  |  |  |  | 3 |  |  |  |  | 5.09999990463257
India | IND | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8 |  |  |  |  |  | 10.3000001907349 |  |  |  |  | 10.3999996185303 |  |  |  |  | 11.5 |  | 11.6000003814697
Not classified | INX | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Ireland | IRL | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 18.7999992370605 | 20 | 23.3999996185303 | 22.6000003814697 | 22.7999992370605 | 22.7999992370605 | 19.5 | 18.2000007629395 | 21.1000003814697 | 20.7999992370605 | 22.7999992370605 | 20.5 | 17.3999996185303 | 17 | 14.8999996185303 | 11 | 8.39999961853027 | 6.90000009536743 | 5.80000019073486 | 6.59999990463257 | 7.09999990463257 | 7.5 | 7.90000009536743 | 8.10000038146973 | 8 | 9.80000019073486 | 17 | 21.2000007629395 | 22.7000007629395 | 24
Iran, Islamic Rep. | IRN | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 34 |  | 30.2000007629395 | 33.9000015258789
Iraq | IRQ | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Iceland | ISL | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.90000009536743 | 10.8999996185303 | 9.69999980926514 | 10.1000003814697 | 8.60000038146973 | 7.59999990463257 | 7.09999990463257 | 5.59999990463257 | 4.40000009536743 | 3.59999990463257 | 4.30000019073486 | 4.40000009536743 | 7 | 6.80000019073486 | 6 | 7.5 | 6.30000019073486 | 7.5 | 12 | 14.1000003814697 | 10.6999998092651 | 12.3999996185303
Israel | ISR | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.1000003814697 | 15 | 15.3999996185303 | 12.8999996185303 | 16.8999996185303 | 17.5 | 18.5 | 16.2999992370605 | 17.2000007629395 | 21.7000007629395 | 23.3999996185303 | 24.8999996185303 | 25.2999992370605 | 23.2000007629395 | 19.1000003814697 | 17.1000003814697 | 15.1000003814697 | 16.1000003814697 | 17.5 | 17.3999996185303 | 16.7999992370605 | 18.2999992370605 | 20.7999992370605 | 22.2999992370605 | 21.2000007629395 | 18.6000003814697 | 19.1000003814697 | 17 | 13.3999996185303 | 13.6000003814697 | 12.8999996185303 | 11.3000001907349 | 12.6999998092651
Italy | ITA | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 30.3999996185303 |  | 34.5 | 34.9000015258789 | 37.9000015258789 | 39.0999984741211 | 40.2999992370605 | 39.7000007629395 | 39.5 | 38.5 | 35.4000015258789 | 33.5 | 33 | 34.9000015258789 | 35.7000007629395 | 38.2000007629395 | 39.7000007629395 | 40.5999984741211 | 38.4000015258789 | 38.2999992370605 | 35.2999992370605 | 31.6000003814697 | 31.6000003814697 | 30.8999996185303 | 29 | 27.3999996185303 | 25.2999992370605 | 23.2999992370605 | 24.7000007629395 | 28.7000007629395 | 29.3999996185303 | 32 | 37.5
Jamaica | JAM | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 62.7999992370605 | 66.8000030517578 |  |  |  |  |  |  |  | 46.9000015258789 | 42.5 | 40.5 | 40 | 37.7999992370605 | 44.5999984741211 | 47 | 44.4000015258789 | 44.5 | 46.2000007629395 | 42.7999992370605 | 44.0999984741211 | 39.5999984741211 | 27.5 | 36.2999992370605 |  |  |  | 33.5999984741211 | 33.0999984741211 | 37.7999992370605 | 37.9000015258789 | 42.5999984741211
Jordan | JOR | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 39.7000007629395 | 41.2000007629395 | 41.7000007629395 | 43.2999992370605 | 32.5999984741211 | 50.0999984741211 | 45.4000015258789 | 47.9000015258789 | 48.9000015258789 | 45.9000015258789 | 47.0999984741211 | 46.7999992370605 | 48.7999992370605
Japan | JPN | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.20000004768372 | 3.79999995231628 | 3.59999990463257 | 4.5 | 5 | 4.69999980926514 | 5.09999990463257 | 5 | 4.69999980926514 | 4.19999980926514 | 4.09999990463257 | 4.19999980926514 | 4.09999990463257 | 5.30000019073486 | 5.30000019073486 | 6.09999990463257 | 6.69999980926514 | 6.30000019073486 | 7.30000019073486 | 8.19999980926514 | 7.90000009536743 | 8.69999980926514 | 8.69999980926514 | 8.60000038146973 | 8.30000019073486 | 7.40000009536743 | 7.19999980926514 | 7.09999990463257 | 6.5 | 8 | 8 | 7.09999990463257 | 7.09999990463257
Kazakhstan | KAZ | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19.2999992370605 | 16.3999996185303 | 15.6999998092651 |  |  |  | 8.19999980926514 | 8.19999980926514 | 5.69999980926514 | 5 | 5.09999990463257
Kenya | [NAME] | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Kyrgyz Republic | KGZ | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21.2000007629395 |  | 17.7999992370605 | 16.2000007629395 | 16.2000007629395
Cambodia | KHM | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12 |  |  |  |  |  |  |  |  |  | 3.29999995231628
Kiribati | KIR | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
St. Kitts and Nevis | KNA | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Korea, Rep. | KOR | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9.10000038146973 | 7.19999980926514 | 7.5 | 6.5 | 6.59999990463257 | 7.40000009536743 | 6.5 | 6 | 5.5 | 5.40000009536743 | 5.5 | 5.80000019073486 | 6.59999990463257 | 7.09999990463257 | 6 | 5.30000019073486 | 4.80000019073486 | 6.5 | 12.6999998092651 | 11.6999998092651 | 9 | 8.69999980926514 | 7.40000009536743 | 9 | 9.39999961853027 | 9 | 9 | 7.19999980926514 | 8 | 8.5 | 9 | 8.10000038146973 | 8.5
Kosovo | KSV | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 89.6999969482422 | 90.5 | 82.5 | 80.5999984741211 | 77.6999969482422 | 78.5999984741211 | 81.8000030517578 | 81.6999969482422 |  |  | 63.7999992370605
Kuwait | KWT | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.40000009536743 |  |  |  |  |  |  |  |  |  |  |  | 7.59999990463257 |  |  |  |  |  |  |  |  |  | 10
Latin America & Caribbean (developing only) | LAC | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.73253752302716 | 15.19508993292318 |  | 16.13898009232642 | 19.73694045929207 | 18.98845243719105 | 20.3173245627897 | 20.22803045222629 | 22.82134475729438 | 18.56677317297081 | 18.82970346279457 | 21.62790878359093 | 20.5234893992904 | 19.46988615546572 | 19.31270296952606 | 18.07085282417256 | 17.2145328409465 | 19.10792957300276 |  | 18.03558345249322
Lao PDR | LAO | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.90000009536743
Lebanon | LBN | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19 |  |  | 21.5 |  | 22.2999992370605
Liberia | LBR | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.70000004768372 |  |  | 6.59999990463257
Libya | LBY | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
St. Lucia | LCA | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 15.1999998092651 |  | 34.9000015258789 | 39.4000015258789 | 42.2999992370605 | 40.5999984741211 | 43.2000007629395 | 51.7999992370605 | 40.4000015258789 | 40.5 | 26.7000007629395 | 41.2000007629395 | 50.5 | 45.5 | 44.2999992370605 | 37 | 35.2000007629395
Latin America & Caribbean (all income levels) | LCN | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.00785085575671 | 15.35263391947193 |  | 16.25388117473194 | 19.83125969079044 | 19.02409218353455 | 20.37842047801676 | 20.3847394752536 | 22.92906924736918 | 18.85257059868029 | 19.08126921522488 | 21.85511285581006 | 20.64220694045727 | 19.7115854915532 | 19.47878225562411 | 18.2140460843211 | 17.45674764524325 | 19.29881529981531 |  | 18.19274174024196
Least developed countries: UN classification | LDC | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Low income | LIC | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
[NAME] | LIE | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
[NAME] | LKA | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 35.4000015258789 | 30.7999992370605 |  |  | 33.7999992370605 | 35.7000007629395 | 37 | 28.2000007629395 | 28.1000003814697 | 25.2999992370605 | 27.8999996185303 | 24.7000007629395 | 24.7999992370605 | 23.5
Lower middle income | LMC | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.16789969219456 |  |  |  |  | 17.65939604803949
Low & middle income | LMY | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
[NAME] | LSO | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 58.5 |  | 43.4000015258789 |  |  |  |  |  |  |  |  | 41.9000015258789
Lithuania | LTU | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21.7000007629395 | 18.8999996185303 | 21 | 27.2999992370605 | 24.7000007629395 | 21.6000003814697 | 32.7000007629395 | 17 | 15.3000001907349 | 9.69999980926514 | 10.1000003814697 | 14.5 | 21.5 | 30.7999992370605 | 29.2000007629395 | 21.7999992370605
Luxembourg | LUX | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8 | 5.80000019073486 | 6.69999980926514 | 7 | 6.19999980926514 | 4.30000019073486 | 3.90000009536743 | 4.69999980926514 | 2.5 | 2.40000009536743 | 3.79999995231628 | 7.19999980926514 | 7.80000019073486 | 8.30000019073486 | 9.19999980926514 | 7.09999990463257 | 7.40000009536743 | 7.30000019073486 | 5.40000009536743 | 9 | 12.1999998092651 | 22.5 | 16.2000007629395 | 15.1999998092651 | 17.5 | 24.1000003814697 | 17.7999992370605 | 10.1999998092651 | 20.7999992370605 | 18.6000003814697
Latvia | LVA | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 34.0999984741211 | 26.7000007629395 | 26.1000003814697 | 19.5 | 21.7000007629395 | 21.5 | 26.2000007629395 | 22.8999996185303 | 25.7000007629395 | 16.1000003814697 | 14.6000003814697 | 10 | 13.1000003814697 | 28.2999992370605 | 33.5 | 30.7000007629395 | 29.2999992370605
Macao SAR, China | MAC | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.29999995231628 | 3.29999995231628 | 5.09999990463257 |  |  | 6.90000009536743 | 8.10000038146973 |  | 6.69999980926514 |  |  | 8.5 | 8.10000038146973 | 5.80000019073486 | 5.80000019073486 | 4 | 4.19999980926514 | 6 | 3.5 | 4.69999980926514
St. Martin (French part) | MAF | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Morocco | MAR | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 31.6000003814697 |  |  |  |  |  |  |  | 35.9000015258789 | 16.7999992370605 | 15.6999998092651 | 16.6000003814697 | 16.8999996185303 | 15.8999996185303 | 14.3999996185303 | 14.3999996185303 | 14.1000003814697 | 15.5 | 16.1000003814697 | 16.2000007629395 | 16.1000003814697 | 17.3999996185303 | 19.2000007629395
Monaco | MCO | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.40000009536743
Moldova | MDA | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.8000001907349 | 13.8999996185303 | 12.6000003814697 | 17.1000003814697 | 17.7000007629395 | 18.2999992370605 | 16 | 13.8999996185303 | 12.5 | 14.8999996185303 | 15 | 15.8000001907349 | 13.3999996185303
Madagascar | MDG | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.30000019073486 |  | 2.79999995231628
Maldives | MDV | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.90000009536743 |  |  |  |  | 5.09999990463257 |  |  |  |  |  | 30.5
Middle East & North Africa (all income levels) | MEA | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 36.62476791782683 | 39.97554200381179
Mexico | MEX | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.59999990463257 |  |  | 5.80000019073486 | 6.09999990463257 | 6.40000009536743 | 8.30000019073486 | 15.3000001907349 | 12.3000001907349 | 10.5 | 8.69999980926514 | 6.09999990463257 | 6.19999980926514 | 6.69999980926514 | 7.90000009536743 | 8.30000019073486 | 10.6000003814697 | 7.40000009536743 | 7.40000009536743 | 7.5 | 8.39999961853027 | 10.6000003814697 | 10.1000003814697 | 10.3999996185303 | 9.89999961853027
Marshall Islands | MHL | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Middle income | MIC | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Macedonia, FYR | MKD | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 73.5 | 61.7999992370605 | 62.4000015258789 |  | 59 | 66.4000015258789 | 64.8000030517578 | 62.0999984741211 | 60.9000015258789 | 58.2999992370605 | 57.2999992370605 | 59.4000015258789 | 53.4000015258789 | 54.7999992370605 | 51.7000007629395
[NAME] | MLI | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Malta | MLT | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.3999996185303 | 14.3000001907349 | 14 | 19.2000007629395 | 18 | 16 | 14.6999998092651 | 11.6000003814697 | 10.1000003814697 | 12.8000001907349 | 11.5 | 14 | 14.5
Myanmar | MMR | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Middle East & North Africa (developing only) | MNA | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 36.16488741880423
Montenegro | MNE | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 45.2000007629395 | 28.2000007629395 | 35.5 | 46.9000015258789 | 40 | 39.7000007629395
Mongolia | MNG | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.3000001907349 | 10.5 |  |  |  | 13.1999998092651 | 8.80000019073486 | 10.6999998092651 | 14.1999998092651 | 13.1999998092651
Northern Mariana Islands | MNP | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.30000019073486
Mozambique | MOZ | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Mauritania | MRT | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
[NAME] | MUS | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 28.1000003814697 |  |  |  |  |  |  |  |  | 31 | 34.2999992370605 | 30.7000007629395 | 31.2999992370605 | 25.2000007629395 | 26.2000007629395 | 29 | 28 | 28.3999996185303
[NAME] | MWI | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9.60000038146973
Malaysia | MYS | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.80000019073486 | 9.19999980926514 | 8.30000019073486 |  |  |  |  |  |  | 11.5 | 11.8000001907349 |  |  | 10.8000001907349 | 11
North America | NAC | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.91809921166734 | 13.76438944130406 | 16.1283147994999 | 15.86127323490021 | 13.51361841420823 | 13.13150612925189 | 12.85024919208513 | 11.72000669138621 | 10.59004840446063 | 10.32039043253769 | 10.72977863630489 | 12.53957673681556 | 13.23812990362456 | 12.50675978575464 | 11.80626784075982 | 11.7565170258035 | 11.54392736287224 | 11.14710680413528 | 10.16721959440731 | 9.807303023383133 | 9.138753068278342 | 9.742737762332178 | 11.15684559557897 | 11.4472485908808 | 11.07544412451164 | 10.14712307531694 | 9.765924009069844 | 9.456683681482607 | 11.08615231671109 | 14.65244643838053 | 15.47602525252483 | 15.38640770161983 | 14.50136134959269
Namibia | NAM | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 33.7999992370605 |  |  | 41.4000015258789 |  |  | 45.7999992370605 | 49.2999992370605 |  |  | 47 |  |  |  | 63.7999992370605 |  | 45.9000015258789 |  | 40.0999984741211
New Caledonia | NCL | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
[NAME] | NER | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.70000004768372
Nigeria | NGA | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 22.2999992370605
Nicaragua | NIC | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.3999996185303 | 14.8999996185303 | 19.2000007629395 |  | 34.7999992370605 | 30.7000007629395 | 24.7000007629395 | 17.6000003814697 |  | 18.7000007629395 |  | 13.6000003814697 |  |  | 15.8000001907349 |  |  | 9.69999980926514 |  | 13.1000003814697 |  | 15.6000003814697
Netherlands | NLD | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19 |  | 16.7000007629395 |  | 17.8999996185303 | 14.5 | 13.8999996185303 | 12 | 12 | 8.5 | 9.5 | 9 | 12.6999998092651 | 11.6000003814697 | 10.3000001907349 | 9.30000019073486 | 8.19999980926514 | 5.90000009536743 | 4.5 | 4.80000019073486 | 6.5 | 8.10000038146973 | 8.39999961853027 | 7.09999990463257 | 6.19999980926514 | 5.19999980926514 | 6.09999990463257 | 8.60000038146973 | 7.80000019073486 | 10
High income: nonOECD | NOC | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.26878292656017 | 14.5526152286833 | 17.31164010368351 | 19.66846471833287 | 20.63074018777589 | 23.20166957112499 | 26.770825367034 | 25.79014281755291 | 23.29382990256165 | 21.4495348906758 | 20.44169663108021 | 19.78532838946511 | 18.82051623938404 | 17.08392516339649 | 21.72433446271051 | 19.28455967399301 | 20.44403478877965 | 24.55386247616038 | 18.07123652917327 | 22.0191622444672 | 22.50029864174454
Norway | NOR | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.30000019073486 | 6.19999980926514 | 8 | 9.60000038146973 | 7.90000009536743 | 7.40000009536743 | 6.19999980926514 | 6.59999990463257 | 8.60000038146973 | 10.8999996185303 | 11 | 12 | 12.6000003814697 | 13.1999998092651 | 12.1000003814697 | 11.8000001907349 | 12.6999998092651 | 11.1000003814697 | 9.39999961853027 | 9.5 | 10.8999996185303 | 10.3000001907349 | 10.5 | 10.6999998092651 | 10.6999998092651 | 11.5 | 8.69999980926514 | 6.59999990463257 | 6.80000019073486 | 8 | 7.69999980926514 | 7.90000009536743 | 7.19999980926514
Nepal | NPL | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.20000004768372
New Zealand | NZL | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8 | 7.5 | 9.80000019073486 | 12.6999998092651 | 13.1999998092651 | 17.2000007629395 | 16.8999996185303 | 16.2999992370605 | 14.6999998092651 | 12.1999998092651 | 11.5 | 13.3999996185303 | 13.8999996185303 | 13 | 12.3999996185303 | 11.8999996185303 | 11.6999998092651 | 10.6000003814697 | 10.5 | 10.1000003814697 | 10.3999996185303 | 10.1000003814697 | 10.8999996185303 | 17.2000007629395 | 17.3999996185303 | 16.1000003814697 | 18.1000003814697
High income: OECD | OEC | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 16.68770351432115 | 17.83249782871127 | 17.88476640204819 | 17.68252403340403 | 17.21720634272267 | 16.5476227162291 | 15.47876804464647 | 14.44014995175232 | 13.96034787260803 | 13.89912847259475 | 15.25561093140654 | 16.38008140485625 | 16.61491723380403 | 16.60725761622972 | 16.64937505568953 | 16.3792231272612 | 15.69763574347823 | 15.72653113223579 | 14.62637913523675 | 14.37765377118666 | 15.00350544985627 | 15.22961609628184 | 15.19331363314901 | 14.68329978145603 | 13.87443128420736 | 12.6831712630258 | 13.02621428519692 | 16.00341580116861 | 16.87047767669068 | 17.11282113326233 | 17.54917517077856
OECD members | OED | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 17.83249782871128 | 17.88476640204819 | 17.68252403340403 | 17.21720634272268 | 16.54762271622909 | 14.5723973224588 | 14.56540723369097 | 14.04546555692189 | 12.77169535711246 | 14.03441178964827 | 15.15149301350432 | 15.36722909954338 | 16.185916883799 | 15.69855476796403 | 15.51854432158218 | 14.5600902115743 | 14.34175414610899 | 13.32288803445096 | 13.36968419814365 | 14.23796093011312 | 14.61156126007395 | 15.02365227507221 | 14.23560323383619 | 13.59713283065911 | 12.67245017867923 | 13.10042377031634 | 16.03287468387781 | 16.49687206136183 | 16.53182734344485 | 16.75117263859422
Oman | OMN | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Other small states | OSS | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Pakistan | PAK | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.29999995231628 |  | 1.29999995231628 | 21.7999992370605 | 15.3000001907349 | 10.8000001907349 | 10 | 18.1000003814697 |  | 21 | 18.5 |  | 29.2000007629395 |  | 20.6000003814697 |  | 14.8999996185303 |  | 9.60000038146973 | 8.89999961853027 | 10.5
Panama | PAN | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 28 | 23.2000007629395 | 29.7999992370605 | 38.5 | 31.8999996185303 |  | 41.7999992370605 | 42.7000007629395 | 28.7999992370605 | 41 |  | 35.4000015258789 | 36.5 | 35.5999984741211 | 38.5 | 35.2999992370605 | 38.5999984741211 | 34 | 37.7999992370605 |  | 38.9000015258789 | 38.2999992370605 | 35 | 29.6000003814697 | 29 | 23.6000003814697 | 21.1000003814697 | 21.6000003814697 | 20.7999992370605 | 14.6000003814697 | 13.3000001907349
Peru | PER | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19.7000007629395 | 13.1000003814697 |  | 18.8999996185303 | 17.2999992370605 | 13.6000003814697 | 14.6000003814697 | 13.6000003814697 | 15.5 | 12.1999998092651 | 13.6000003814697 | 13.8999996185303 |  | 11.3999996185303 | 21.3999996185303 | 11.1999998092651 |  | 10.3000001907349 |  | 9 |  | 9.69999980926514
Philippines | PHL | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.1000003814697 |  | 16.1000003814697 |  | 20.3999996185303 | 18.5 | 22 | 19.2000007629395 | 21.6000003814697 | 20.3999996185303 | 20.7999992370605 | 20.8999996185303 | 19.1000003814697 | 17.6000003814697 | 18.5 | 21.5 | 22.2999992370605 | 23.6000003814697 | 22.8999996185303 | 24.2999992370605 | 23.2000007629395 | 25.8999996185303 | 18.8999996185303 | 18.3999996185303 | 16.5 | 19.6000003814697 | 19.2999992370605 |  | 18.2999992370605
Palau | PLW | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
[NAME] | PNG | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Poland | POL | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 30.1000003814697 | 32.5 | 34.7000007629395 | 33.7999992370605 | 31.2000007629395 | 28 | 25.2000007629395 | 32 | 37.2999992370605 | 42 | 44.4000015258789 | 44.2999992370605 | 43.2999992370605 | 39.2000007629395 | 31.6000003814697 | 23.7999992370605 | 19.8999996185303 | 21.2000007629395 | 25.3999996185303 | 28.7999992370605 | 30
Puerto Rico | PRI | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41 | 34.9000015258789 | 35.7000007629395 | 39.0999984741211 | 41.7999992370605 | 30.8999996185303 |  | 27.6000003814697 | 33.2999992370605 | 31 | 25 |  | 23.2999992370605 | 25.7000007629395 | 24.7000007629395 | 24.3999996185303 | 19.5 | 16 |  | 23.5 | 23 | 19 | 20.8999996185303 | 21.6000003814697 | 19 | 20.2999992370605 | 23.2000007629395 | 22 | 24.5 | 23.1000003814697
Korea, Dem. Rep. | PRK | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Portugal | PRT | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 26.7000007629395 | 25.6000003814697 | 23.7000007629395 | 25.2999992370605 | 26.8999996185303 | 26.3999996185303 | 24.1000003814697 | 20.2999992370605 | 17.6000003814697 | 15 | 13 | 12.3999996185303 | 11.5 | 14.8999996185303 | 16.7000007629395 | 18 | 19.7000007629395 | 18.7999992370605 | 12.8999996185303 | 10.8000001907349 | 11.6000003814697 | 12.1000003814697 | 13.8999996185303 | 17 | 17.6000003814697 | 19.1000003814697 | 18.3999996185303 | 20.2999992370605 | 20.2000007629395 | 21.6000003814697 | 23.7000007629395 | 31.7000007629395 | 39.0999984741211
Paraguay | PRY | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.1000003814697 | 16.5 | 7.09999990463257 | 8.69999980926514 | 7.09999990463257 | 7.40000009536743 | 7.30000019073486 |  | 12.3000001907349 | 12.3000001907349 | 13.8999996185303 | 17.2999992370605 | 17.2999992370605 | 24.6000003814697 | 20.5 |  |  |  | 18.2999992370605 | 16.7999992370605 | 17.8999996185303 | 16.8999996185303 | 17.7999992370605 | 14.6000003814697
Pacific island small states | PSS | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
French Polynesia | PYF | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 67.0999984741211 |  |  |  |  |  | 49.4000015258789 |  |  |  |  | 38.5
Qatar | QAT | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.5 |  |  |  | 8.89999961853027
Romania | [NAME] | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 23.3999996185303 |  |  | 23.1000003814697 | 23.8999996185303 | 19.2000007629395 | 16.8999996185303 | 15.5 | 15.8999996185303 | 17.1000003814697 | 22 | 20 | 18.7000007629395 | 18.3999996185303 | 20.2000007629395 | 18.7000007629395 | 18.2999992370605 | 20.1000003814697 | 21.7999992370605 | 23.7999992370605 | 23.2000007629395
Russian Federation | RUS | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13 | 14 | 17.5 | 20 | 20.5 | 23.8999996185303 | 27.6000003814697 | 26 | 22.2000007629395 | 19.2000007629395 | 16.8999996185303 | 18.7999992370605 | 18.7000007629395 | 16.7999992370605 | 17.1000003814697 | 14.3999996185303 | 15.1000003814697 | 18.8999996185303 | 17.2999992370605 | 15.5 | 15.1000003814697
Rwanda | RWA | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.699999988079071 |  |  |  |  |  |  | 0.5
South Asia | SAS | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.227934313123942 |  |  |  |  |  | 12.65436339670503 |  |  |  |  | 11.16193328662093 |  |  |  |  | 11.69183595226232 |  | 11.76005463527453
Saudi Arabia | SAU | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19.6000003814697 |  |  |  |  |  |  | 26.5 | 32.5999984741211 | 31.6000003814697 | 39.0999984741211 |  |  |  | 49.2999992370605 | 47 | 50 | 54.7999992370605 |  | 51.4000015258789 | 54.4000015258789
Sudan | SDN | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 25.7000007629395
Senegal | SEN | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 20.1000003814697
Singapore | SGP | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.59999990463257 |  | 4.59999990463257 | 5.09999990463257 | 4.69999980926514 | 7.80000019073486 | 9.80000019073486 | 8 | 5.59999990463257 | 4.40000009536743 | 2.90000009536743
Solomon Islands | SLB | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46.0999984741211
Sierra Leone | SLE | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.5
El Salvador | SLV | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.3000001907349 | 7.90000009536743 |  |  | 13 | 14.3000001907349 | 11.1999998092651 | 12.8000001907349 | 9.5 |  |  | 7.80000019073486 | 6.90000009536743 | 8.39999961853027 |  | 8.89999961853027 | 8.30000019073486 | 9.19999980926514 | 13 | 14.1999998092651 | 11.8999996185303 | 11.6999998092651
[NAME] | SMR | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Somalia | SOM | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Serbia | SRB | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 55.5 | 48.2999992370605 | 41.2999992370605
Sub-Saharan Africa (developing only) | SSA | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
South Sudan | SSD | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Sub-Saharan Africa (all income levels) | SSF | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Small states | SST | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Sao Tome and Principe | STP | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.5
Suriname | SUR | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 43 |  | 45.5 | 46.5 |  | 50.2999992370605 | 50.4000015258789 |  | 28.2000007629395 |  |  |  | 58.2000007629395
Slovak Republic | SVK | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 26.5 | 23.1000003814697 | 21.6000003814697 | 22.6000003814697 | 23.3999996185303 | 32.0999984741211 | 33.7999992370605 | 35.7000007629395 | 35.5 | 31.6000003814697 | 30.7999992370605 | 28.7999992370605 | 27 | 19.8999996185303 | 19.8999996185303 | 26.5 | 32 | 33.5999984741211 | 32.5
Slovenia | SVN | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19.1000003814697 |  | 27.8999996185303 | 23.1000003814697 | 19.6000003814697 | 16.6000003814697 | 19.1000003814697 | 18.2000007629395 | 19.7999992370605 | 18.3999996185303 | 16.6000003814697 | 18.6000003814697 | 19.7999992370605 | 19.2000007629395 | 17.7999992370605 | 16.7999992370605 | 11.1999998092651 | 11.3000001907349 | 13.3999996185303 | 13.8000001907349 | 16.7999992370605 | 21
Sweden | SWE | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.90000009536743 | 8.19999980926514 | 9.69999980926514 | 10.6000003814697 | 8.19999980926514 | 6.90000009536743 | 6.69999980926514 | 5.40000009536743 | 4.40000009536743 | 3.79999995231628 | 4.5 | 7.40000009536743 | 11.1000003814697 | 19.2999992370605 | 19.8999996185303 | 18.3999996185303 | 20.7999992370605 | 20.5 | 16.1000003814697 | 13.8000001907349 | 11.3000001907349 | 10.6000003814697 | 11.8999996185303 | 12.8000001907349 | 16.1000003814697 | 21.6000003814697 | 21.5 | 19.7999992370605 | 20.7999992370605 | 23.7000007629395 | 23.6000003814697 | 22.2000007629395 | 22.2999992370605
Swaziland | SWZ | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 43 |  | 48.2999992370605
Sint Maarten (Dutch part) | SXM | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Seychelles | SYC | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 31.1000003814697 |  |  |  | 37.9000015258789 |  |  |  |  |  |  |  |  | 28.1000003814697
Syrian Arab Republic | SYR | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.3000001907349 | 13.6000003814697 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 38.9000015258789 | 33.0999984741211 |  |  | 46.0999984741211 | 49.0999984741211 | 47.5999984741211 | 43 | 40.2000007629395
Turks and Caicos Islands | TCA | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Chad | TCD | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Togo | TGO | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Thailand | THA | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.29999995231628 |  | 3.59999990463257 |  | 8.10000038146973 |  |  | 10.1999998092651 | 5.59999990463257 | 2.70000004768372 | 4.19999980926514 |  |  |  | 2.70000004768372 |  | 2.29999995231628 | 1.79999995231628 | 6.5 | 7.09999990463257 | 6 | 7.19999980926514 |  | 5.09999990463257 | 4.30000019073486 | 4.59999990463257 | 5.30000019073486 | 4.30000019073486 | 4.69999980926514 | 6.30000019073486 | 4.19999980926514 | 3 | 3.09999990463257
Tajikistan | TJK | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.6999998092651
Turkmenistan | TKM | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Timor-Leste | TLS | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 27.8999996185303 |  |  |  |  |  | 22.6000003814697 |  |  | 22.7000007629395
Tonga | TON | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 27 |  |  |  |  |  |  | 15.1000003814697
Trinidad and Tobago | TTO | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 26.1000003814697 |  | 25.5 |  | 31.6000003814697 | 35.4000015258789 | 44.7999992370605 | 43.4000015258789 | 45.7999992370605 | 42.5 | 42.2999992370605 |  | 40.0999984741211 |  | 35.2000007629395 | 36 |  | 32.5999984741211 | 30.8999996185303 | 27.6000003814697 |  | 26.3999996185303 |  |  | 21.6000003814697 | 17 | 14.1999998092651 | 12.8999996185303
Tunisia | TUN | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 30.3999996185303 |  |  |  |  |  |  |  | 29 |  |  |  |  |  |  |  | 29.2999992370605
Turkey | TUR | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 17.8999996185303 | 16 | 15 | 11.6999998092651 | 13.5 | 15.8999996185303 | 13.3999996185303 | 13.1000003814697 | 11.1000003814697 | 15 | 12.8000001907349 | 14 | 11.8999996185303 | 14.3999996185303 | 17.1000003814697 | 18.8999996185303 | 20.7000007629395 | 20.6000003814697 | 20.6000003814697 | 20.7999992370605 | 21.2000007629395 | 25 | 23.1000003814697 | 20.7000007629395 | 19.8999996185303
Tuvalu | TUV | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Tanzania | TZA | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.5 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.1000003814697
Uganda | UGA | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.20000004768372
Ukraine | UKR | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 15.3999996185303 | 14.3999996185303 |  |  |  | 15.1000003814697 | 16.7000007629395 | 18.7000007629395 | 16.1000003814697
Upper middle income | UMC | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Uruguay | URY | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 27.3999996185303 | 29.1000003814697 | 28.7000007629395 | 27.2999992370605 | 30.1000003814697 | 29.2000007629395 | 24.7999992370605 |  | 29.5 |  | 36.4000015258789 | 41.7000007629395 |  | 44.2000007629395 |  | 34.9000015258789 | 34.5 | 30.2999992370605 | 26.5 |  | 26.2000007629395 | 22.3999996185303 | 23.6000003814697
United States | USA | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13 | 14 | 16.2000007629395 | 15.8000001907349 | 13.3000001907349 | 13 | 12.8000001907349 | 11.6999998092651 | 10.6000003814697 | 10.3999996185303 | 10.6999998092651 | 12.5 | 13.1000003814697 | 12.3000001907349 | 11.6000003814697 | 11.6000003814697 | 11.3000001907349 | 10.6999998092651 | 9.80000019073486 | 9.5 | 8.89999961853027 | 9.60000038146973 | 11.1000003814697 | 11.3999996185303 | 11 | 10.1000003814697 | 9.69999980926514 | 9.39999961853027 | 11.1999998092651 | 14.8999996185303 | 15.8000001907349 | 15.6999998092651 | 14.6999998092651
Uzbekistan | UZB | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
St. Vincent and the Grenadines | VCT | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46.2000007629395 |  |  |  |  |  |  |  |  |  |  | 43 |  |  |  |  |  |  |  |  |  | 38.7000007629395 |  |  |  |  |  |  | 41.4000015258789
Venezuela, RB | VEN | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 25.7999992370605 |  |  |  | 17 |  | 35.2000007629395 | 26.6000003814697 | 26.5 | 32.5999984741211 | 28.2999992370605 | 27.7000007629395 | 34.5 | 34.7999992370605 |  |  | 22 | 17.3999996185303 | 15.8999996185303 | 18.7999992370605 | 21.6000003814697 | 22 | 22.6000003814697
Virgin Islands (U.S.) | VIR | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Vietnam | VNM | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.90000009536743 | 4.19999980926514 | 3.79999995231628 | 5.90000009536743 | 4.59999990463257 | 7.09999990463257 | 4.59999990463257 | 5.09999990463257 | 4.90000009536743 |  |  |  |  |  |  |  | 6.5
[NAME] | VUT | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
West Bank and Gaza | PSE | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 29.3999996185303 | 35.7000007629395 |  | 44.9000015258789 |  | 43.2000007629395 | 42.5999984741211 | 47.2999992370605 | 46.9000015258789 | 49.5999984741211 | 53.5 | 62.2000007629395
World | WLD | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Samoa | WSM | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 15.5 |  |  |  |  | 6.09999990463257 |  |  |  |  | 22.2000007629395
Yemen, Rep. | YEM | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9.80000019073486 |  |  |  |  | 13.5 |  |  |  |  | 52 |  |  |  |  |  | 74
South Africa | ZAF | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 49.5 | 50.4000015258789 | 46.7000007629395 | 52.2000007629395 | 56.4000015258789 | 58.7000007629395 | 57.0999984741211 | 54.7000007629395 | 52.2999992370605 | 52.7999992370605 | 50.5 | 52.2999992370605 | 54.5999984741211 | 55 | 56.9000015258789
Congo, Dem. Rep. | COD | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS
Zambia | ZMB | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21 |  |  |  |  |  |  |  |  |  | 19.5
Zimbabwe | ZWE | Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 16.3999996185303 |  |  |  | 14.3000001907349 | 14.3000001907349 |  |  |  |  | 42.5999984741211 |  |  |  |  | 12.3999996185303 |  | 10.8999996185303 |  |  | 21.3999996185303 |  | 7.59999990463257