Spreadsheet: 71d10f9e-f27c-44dd-9f76-b8795bfa78e4
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) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11 |  |  | 14.6000003814697 |  |  | 24.5 |  |  |  |  |  |  |  |  |  | 22.8999996185303
Andorra | AND | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Afghanistan | AFG | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Angola | AGO | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Albania | ALB | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 27.1000003814697 |  |  |  |  |  | 15.8000001907349 | 23.7999992370605 | 22.2000007629395 | 20.7000007629395
Andean Region | ANR | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Arab World | ARB | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
United Arab Emirates | ARE | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.69999980926514 |  |  |  |  |  |  |  |  |  | 12.8999996185303 |  |  | 21.7999992370605
Argentina | ARG | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 56.4000015258789 |  |  |  |  |  | 69.4000015258789 | 43.0999984741211 | 47.2000007629395 | 48 | 45
American Samoa | ASM | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.8000001907349
[NAME] and [NAME] | ATG | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21.6000003814697
Australia | AUS | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.400000005960464
Belgium | BEL | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.699999988079071 |  |  |  |  |  |  |  |  |  | 0.600000023841858
[NAME] | BFA | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.90000009536743
Bangladesh | BGD | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 33.9000015258789 |  |  |  |  |  |  |  |  |  | 27 |  |  | 32.5999984741211 |  |  |  |  |  | 11.6000003814697
Bahamas, The | BHS | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.6000003814697
Belize | BLZ | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.59999990463257
Bolivia | BOL | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS
Bhutan | BTN | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.19999980926514 | 10.1999998092651 |  |  | 14.6999998092651 | 11 | 10.8999996185303 | 7.19999980926514
Botswana | BWA | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS
Central African Republic | CAF | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Canada | CAN | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS
Central Europe and the Baltics | CEB | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 24.95606037391716 | 24.25294711000204 | 21.72110045452633 | 20.53060124905216 | 23.79133309682745 | 26.58808193127169 | 29.76556636987475 | 31.40983367912478 | 30.93696267325607 | 29.85600928610488 | 27.78117012402292 | 24.66630795173979 | 19.52941875017469 | 17.93394249752309 | 20.9677611868989 | 24.71322963239885 | 26.43639805467697 | 27.27608616401785
Europe and Central Asia (IFC classification) | CEU | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Switzerland | CHE | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS
Chile | CHL | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS
Cote d'Ivoire | CIV | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Latin America and the Caribbean (IFC classification) | CLA | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Middle East and North Africa (IFC classification) | CME | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Cameroon | CMR | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Congo, Rep. | COG | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Colombia | COL | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS
Cabo Verde | CPV | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 42.0999984741211
Costa Rica | CRI | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS
Caribbean small states | CSS | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 43.90855122205782 | 38.44713361087207 | 40.85284003477384 | 40.28563775477907 |  | 39.18732473303756 | 41.5621709348403 |  | 39.07998041489208 | 40.54251028630116 |  |  | 33.57340681377163
Cuba | CUB | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.40000009536743 |  | 3.59999990463257 | 3.20000004768372 | 3.5
[NAME] | CUW | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Cayman Islands | CYM | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9.10000038146973 | 11.3000001907349 | 13.3000001907349
Cyprus | CYP | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS
Dominica | DMA | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 29.2999992370605 |  |  |  |  |  |  |  | 46.2999992370605 |  | 35.7000007629395 |  | 25.3999996185303
Denmark | DNK | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS
East Asia & Pacific (all income levels) | EAS | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Europe & Central Asia (developing only) | ECA | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19.2115311145062 |  |  |  |  | 20.22521908109438 | 20.70775931411868 | 20.33868935056893 | 19.26712527099105
Europe & Central Asia (all income levels) | ECS | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 18.58839750889861 | 20.56054670035928 | 21.64604456028141 | 22.22080514430341 | 22.0939095376187 | 22.78889993815379 | 22.2609061350818 | 21.90655697505509 | 20.04268613602303 | 19.31784005339453 | 19.39637847069175 | 19.97511410889483 | 19.87561537288877 | 19.41511967425832 | 19.718920007069 | 17.93655764596062 | 17.35254126168291 | 19.80128865941821 | 20.41751385564306 | 20.54770525135033 | 21.21156521078991
Ecuador | ECU | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 29.58166769067826 |  | 33.31813719244931 |  | 32.70097669277467 | 31.42281526001424 | 29.2067119400058 | 27.49991574741502 | 21.73315425682093 | 22.74874871499209 | 25.73813125139159 | 27.14025740694525 | 27.59065712017828 | 28.09013550085767 | 27.79405062087293 | 25.4591061581602 | 24.26816334562208 | 21.43303609975812 | 19.1747187379063 | 19.46913093151685 | 19.28396913139535 | 19.82263248210937 | 20.07234023642727 | 19.22260230117546 | 17.47859161765475 | 17.44332091731768 | 21.05297446307009 | 22.25979726925643 | 23.31207983476126 | 25.90899742178308
Eritrea | ERI | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Spain | ESP | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3 |  |  |  |  |  |  |  |  |  |  |  |  | 40.5 | 11.1999998092651 | 29.3999996185303
European Union | EUU | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19.46494208205544 | 21.50531756932363 | 23.9121816263163 | 24.97104511644982 | 24.99887395817777 | 25.08022241560284 | 24.28119162199404 | 22.29747230455808 | 22.15015764414825 | 21.00361058562695 | 20.25706118621997 | 20.84348325626039 | 20.70345582146482 | 20.80929637764085 | 20.7013214149211 | 19.51106021511 | 17.34682801995529 | 16.8565477528761 | 20.17984763354081 | 21.85302597903429 | 22.98513257156683 | 24.83274835029632
Fragile and conflict affected situations | FCS | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Finland | FIN | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 28 |  |  |  |  |  |  |  |  |  |  |  |  |  | 16.7999992370605 |  |  |  |  |  |  |  |  |  |  | 25.3999996185303
France | FRA | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.5
Micronesia, Fed. [NAME]. | FSM | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Gabon | GAB | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 40.2000007629395
United Kingdom | GBR | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 18.8999996185303 |  |  |  |  |  |  | 19.3999996185303 | 16.7000007629395
Guinea | GIN | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Gambia, The | GMB | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Guinea-Bissau | GNB | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Equatorial Guinea | GNQ | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Greece | GRC | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 26.7000007629395 |  |  | 58.7999992370605 |  | 44.9000015258789 |  | 39.4000015258789
Greenland | GRL | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Guatemala | GTM | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8 | 13.6000003814697
Guam | GUM | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 44.7000007629395 |  |  |  |  | 38.2999992370605 |  |  |  |  |  |  |  |  |  | 31.2999992370605
High income | HIC | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 17.80842286174829 | 17.65670573176724 | 17.24962496040648 | 16.60724763673317 | 15.48022204217097 | 14.3674806241772 | 14.01848269907061 | 14.16073370094693 | 15.10072468112324 | 16.11583679768952 | 16.7112533377767 | 17.07340268956346 | 17.26578523638689 | 17.44627078926511 | 17.54194691929698 | 17.50839597904194 | 16.25489428517691 | 15.72517592827092 | 16.06149051004942 | 16.03144162263141 | 15.82414757107691 | 15.11654350910419 | 15.42902973376853 | 13.98493303857146 | 14.49775283983584 | 17.59014256164208 | 17.05474343779405 | 17.98927467810013 | 18.40408961057195
Hong Kong SAR, China | HKG | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS
Croatia | HRV | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21.7000007629395 |  |  |  |  | 60 |  | 24.3999996185303 |  |  |  |  |  |  |  |  | 21.1000003814697
Hungary | HUN | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.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 | 22.0298852140121 | 24.0097011020606 | 19.7746373953761
Isle of Man | IMN | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.90000009536743 |  |  |  |  | 5.30000019073486 |  |  |  |  | 3 |  |  |  |  | 5.09999990463257
India | IND | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8 |  |  |  |  |  | 10.3000001907349 |  |  |  |  | 10.3999996185303 |  |  |  |  | 11.5 |  | 11.6000003814697
Not classified | INX | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Ireland | IRL | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 34 |  | 30.2000007629395 | 33.9000015258789
Iraq | IRQ | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Iceland | ISL | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS
Kyrgyz Republic | KGZ | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21.2000007629395 |  | 17.7999992370605 | 16.2000007629395 | 16.2000007629395
Cambodia | KHM | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12 |  |  |  |  |  |  |  |  |  | 3.29999995231628
Kiribati | KIR | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
St. Kitts and Nevis | KNA | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Korea, Rep. | KOR | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.40000009536743 |  |  |  |  |  |  |  |  |  |  |  | 7.59999990463257 |  |  |  |  |  |  |  |  |  | 10
Latin America & Caribbean (developing only) | LAC | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.73253760201352 | 15.19508992323477 |  | 16.1389801374712 | 19.7369404008236 | 18.98845239287609 | 20.31732456105646 | 20.22803043283329 | 22.82134468329044 | 18.5668177870179 | 18.82958757045623 | 21.62789703319389 | 20.52335912184317 | 19.46988616594585 | 19.31270299874859 | 18.07085279586876 | 17.21403307308675 | 19.10753830715737 |  | 18.03533316450579
Lao PDR | LAO | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.90000009536743
Lebanon | LBN | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19 |  |  | 21.5 |  | 22.2999992370605
Liberia | LBR | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.70000004768372 |  |  | 6.59999990463257
Libya | LBY | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
St. Lucia | LCA | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.00785092272864 | 15.35263391859595 |  | 16.25388123408402 | 19.83125963784952 | 19.02409214419193 | 20.37842048292553 | 20.38473945908785 | 22.92906916658424 | 18.85261305126323 | 19.08116006995483 | 21.85510202002074 | 20.64208257815272 | 19.71158550401126 | 19.47878228574285 | 18.21404605639541 | 17.45627811271434 | 19.29844384122058 |  | 18.19243021150346
Latin America and the Caribbean | LCR | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Least developed countries: UN classification | LDC | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Low income | LIC | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
[NAME] | LIE | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
[NAME] | LKA | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.16789968748631 |  |  |  |  | 17.65413061309826 |  |  |  |  | 17.07715153229176 |  | 13.28199386147602
Low & middle income | LMY | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
[NAME] | LSO | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 58.5 |  | 43.4000015258789 |  |  |  |  |  |  |  |  | 41.9000015258789
Lithuania | LTU | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS
Morocco | MAR | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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
Mexico and Central America | MCA | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Monaco | MCO | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.40000009536743
Moldova | MDA | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.30000019073486 |  | 2.79999995231628
Maldives | MDV | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 36.62492502228164 | 39.97574645487749
Mexico | MEX | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS
Middle income | MIC | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Macedonia, FYR | MKD | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS
Malta | MLT | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS
Middle East & North Africa (developing only) | MNA | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 36.16488751235332
Montenegro | MNE | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 45.2000007629395 | 28.2000007629395 | 35.5 | 46.9000015258789 | 40 | 39.7000007629395
Mongolia | MNG | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.30000019073486
Mozambique | MOZ | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Mauritania | MRT | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
[NAME] | MUS | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9.60000038146973
Malaysia | MYS | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.91809921445052 | 13.76438944581437 | 16.12831479800481 | 15.8612732327433 | 13.51361841517374 | 13.1315061276984 | 12.85024919064847 | 11.7200066907955 | 10.59004840479615 | 10.32039043029181 | 10.72977863574967 | 12.53957673551439 | 13.23812990154777 | 12.50675978888985 | 11.80626784134001 | 11.75651703050992 | 11.54392736589729 | 11.14710680456537 | 10.16721958729737 | 9.807303021897276 | 9.138753068064501 | 9.742737761509078 | 11.15684559506797 | 11.44724858960983 | 11.07544412571352 | 10.14712307452016 | 9.765913801337053 | 9.456621961330384 | 11.08637470176476 | 14.65309973202617 | 15.47706724830524 | 15.38756537967274 | 14.50198912114645
Namibia | NAM | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS
[NAME] | NER | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.70000004768372
Nigeria | NGA | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 22.2999992370605
Nicaragua | NIC | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.26878288197465 | 14.55261525846452 | 17.31164003056169 | 19.66846478810368 | 20.63041091919185 | 23.20425855568034 | 26.77451723473902 | 25.7911857642561 | 23.29219809833165 | 21.44905311582237 | 20.43880415408243 | 19.78162516420406 | 18.81929962169572 | 17.08515761194678 | 21.7340802881067 | 19.29385370983139 | 20.45141471891139 | 24.55474584840586 | 18.04483059334153 | 22.01917571261659 | 22.51352710605331
Norway | NOR | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.20000004768372
New Zealand | NZL | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 16.68769650653585 | 17.83248925542626 | 17.88476725643737 | 17.68252858161956 | 17.21665765480932 | 16.54677283928896 | 15.47781891645664 | 14.43909513685471 | 13.9603438390928 | 13.89880516631089 | 15.25462305563529 | 16.37829593724984 | 16.61214845051541 | 16.60725073599078 | 16.6494023144187 | 16.3792795895395 | 15.69753704735406 | 15.72630775911147 | 14.62063477189241 | 14.3783439671367 | 15.00330237749393 | 15.22765101884832 | 15.18946221167717 | 14.67761165642914 | 13.86770648193245 | 12.67777455988122 | 13.02053185663941 | 15.99891049829184 | 16.86512633777766 | 17.10543390840658 | 17.54837264572099
OECD members | OED | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 17.83248925542626 | 17.88476725643737 | 17.68252858161956 | 17.21665765480932 | 16.54677283928896 | 14.57169800241547 | 14.56442367064606 | 14.0454618166592 | 12.77146251229844 | 14.03371840446703 | 15.15023426595404 | 15.36526392453414 | 16.18590971876031 | 15.6985815237692 | 15.51860295483997 | 14.56004402758812 | 14.34164057634195 | 13.3181862636009 | 13.37032956336473 | 14.2378867972167 | 14.61002979525555 | 15.0206080232374 | 14.23106637970911 | 13.5917954013412 | 12.66820735160032 | 13.09598548897691 | 16.02935290605084 | 16.49257964994549 | 16.52586965761931 | 16.74925107655564
Oman | OMN | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Other small states | OSS | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Pakistan | PAK | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.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 | 19.5 | 18.2999992370605 | 18.3
Palau | PLW | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
[NAME] | PNG | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Poland | POL | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS
Portugal | PRT | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS
French Polynesia | PYF | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 67.0999984741211 |  |  |  |  |  | 49.4000015258789 |  |  |  |  | 38.5
Qatar | QAT | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.5 |  |  |  | 8.89999961853027
Romania | [NAME] | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.699999988079071 |  |  |  |  |  |  | 0.5
South Asia | SAS | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.227934313629188 |  |  |  |  |  | 12.65436339570475 |  |  |  |  | 11.16193328481018 |  |  |  |  | 11.69183596030386 |  | 11.76005463310041
Saudi Arabia | SAU | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19.6000003814697 |  |  |  |  |  |  | 26.5 | 32.5999984741211 | 31.6000003814697 | 39.0999984741211 |  |  |  | 49.2999992370605 | 47 | 50 | 54.7999992370605 |  | 51.4000015258789 | 54.4000015258789
[NAME] | SCE | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Sudan | SDN | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 25.7000007629395
Senegal | SEN | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 20.1000003814697
Singapore | SGP | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46.0999984741211
Sierra Leone | SLE | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.5
El Salvador | SLV | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS
Somalia | SOM | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Serbia | SRB | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 55.5 | 48.2999992370605 | 41.2999992370605
Sub-Saharan Africa (developing only) | SSA | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
South Sudan | SSD | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Sub-Saharan Africa (all income levels) | SSF | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Small states | SST | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Sao Tome and Principe | STP | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.5
Suriname | SUR | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 43 |  | 48.2999992370605
Sint Maarten (Dutch part) | SXM | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Seychelles | SYC | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 31.1000003814697 |  |  |  | 37.9000015258789 |  |  |  |  |  |  |  |  | 28.1000003814697
Syrian Arab Republic | SYR | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS
Chad | TCD | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Togo | TGO | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Thailand | THA | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.6999998092651
Turkmenistan | TKM | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS
Timor-Leste | TLS | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 27.8999996185303 |  |  |  |  |  | 22.6000003814697 |  |  | 22.7000007629395
Tonga | TON | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 27 |  |  |  |  |  |  | 15.1000003814697
Trinidad and Tobago | TTO | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 30.3999996185303 |  |  |  |  |  |  |  | 29 |  |  |  |  |  |  |  | 29.2999992370605
Turkey | TUR | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS
Tanzania | TZA | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.5 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.1000003814697
Uganda | UGA | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.20000004768372
Ukraine | UKR | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS
Uruguay | URY | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS
St. Vincent and the Grenadines | VCT | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46.2000007629395 |  |  |  |  |  |  |  |  |  |  | 43 |  |  |  |  |  |  |  |  |  | 38.7000007629395 |  |  |  |  |  |  | 41.4000015258789
Venezuela, RB | VEN | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS
Vietnam | VNM | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS
West Bank and Gaza | PSE | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS
Samoa | WSM | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 15.5 |  |  |  |  | 6.09999990463257 |  |  |  |  | 22.2000007629395
Yemen, Rep. | YEM | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9.80000019073486 |  |  |  |  | 13.5 |  |  |  |  | 52 |  |  |  |  |  | 74
South Africa | ZAF | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.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) (national estimate) | SL.UEM.1524.FE.NE.ZS
Zambia | ZMB | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21 |  |  |  |  |  |  |  |  |  | 19.5
Zimbabwe | ZWE | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 16.3999996185303 |  |  |  | 14.3000001907349 | 14.3000001907349 |  |  |  |  | 42.5999984741211 |  |  |  |  | 12.3999996185303 |  | 10.8999996185303 |  |  | 21.3999996185303 |  | 7.59999990463257