Spreadsheet: 279cf1a1-eaee-4ad3-918e-5d1bd7ced449
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, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.30000019073486 |  |  | 8.30000019073486 |  |  | 8.39999961853027 |  |  | 7.40000009536743 | 7.40000009536743 |  |  |  |  |  | 6.5
Andorra | AND | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Afghanistan | AFG | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9.5
Angola | AGO | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Albania | ALB | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 28.3999996185303 |  |  |  |  |  | 12.1999998092651 | 13.5 | 15.8999996185303 | 15.8999996185303
Andean Region | ANR | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Arab World | ARB | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 17.9688633362089 |  |  |  | 20.61733715824703 |  | 19.91401436356883 | 18.37529335314148 | 18.88622243469187 | 19.82579971546186
United Arab Emirates | ARE | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.40000009536743 |  |  |  |  | 2.59999990463257 |  |  |  |  | 7.09999990463257 |  |  | 12 | 10.8000001907349
Argentina | ARG | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.59999990463257 | 7.19999980926514 | 7.80000019073486 | 7.30000019073486 | 6.09999990463257 | 7 | 12.6999998092651 | 14.3999996185303 | 22.2999992370605 | 19.3999996185303 | 17.8999996185303 | 14.1999998092651 | 15.1999998092651 | 16.3999996185303 | 17.7999992370605 | 17.6000003814697 | 18.7000007629395 | 14.5 | 12.3999996185303 | 12.3000001907349 | 10.8999996185303 | 9.69999980926514 | 9.80000019073486 | 9.19999980926514 | 8.5 | 8.80000019073486
Armenia | ARM | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 34.4000015258789 |  |  |  | 40.2000007629395 |  |  |  |  |  | 35 | 18.6000003814697 | 19.7999992370605 | 21.2000007629395 | 19.6000003814697
American Samoa | ASM | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.70000004768372 |  |  |  |  |  |  |  |  |  | 6
[NAME] and [NAME] | ATG | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.80000019073486
Australia | AUS | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.90000009536743 | 7.40000009536743 | 8.5 | 10.3999996185303 | 9.5 | 8.80000019073486 | 8.69999980926514 | 8.60000038146973 | 7.90000009536743 | 6.80000019073486 | 7.19999980926514 | 9.19999980926514 | 10 | 10.1000003814697 | 9.39999961853027 | 8.10000038146973 | 8.19999980926514 | 8.19999980926514 | 7.40000009536743 | 6.69999980926514 | 6.09999990463257 | 6.40000009536743 | 6.19999980926514 | 6 | 5.5 | 5.19999980926514 | 4.90000009536743 | 4.80000019073486 | 4.59999990463257 | 5.40000009536743 | 5.40000009536743 | 5.30000019073486 | 5.30000019073486
Austria | AUT | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.30000019073486 | 5.09999990463257 | 3.59999990463257 | 3.5 | 3.09999990463257 | 4.09999990463257 | 4 | 3.59999990463257 | 3.59999990463257 | 3.5 | 3.79999995231628 | 4.5 | 4 | 4.30000019073486 | 4.5 | 4.69999980926514 | 4.59999990463257 | 3.90000009536743 | 3.79999995231628 | 3.79999995231628 | 3.90000009536743 | 4.19999980926514 | 5.40000009536743 | 5.5 | 5.19999980926514 | 5 | 4.09999990463257 | 4.5 | 4.19999980926514 | 4.30000019073486 | 4.30000019073486
Azerbaijan | AZE | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 18.6000003814697 | 12.6999998092651 | 11.5 | 10.3999996185303 | 9.30000019073486 | 8 | 7.30000019073486 | 6.30000019073486 | 5.5 | 5.5 | 6.59999990463257 | 6.90000009536743 | 6.40000009536743 | 6.09999990463257
Burundi | BDI | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.300000011920929
Belgium | BEL | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 17.7999992370605 | 18.2999992370605 | 17.7999992370605 | 17.8999996185303 | 17.6000003814697 | 15.1999998092651 | 13 | 11.3999996185303 | 10.6000003814697 | 9.5 | 10.8000001907349 | 12.3999996185303 | 12.1999998092651 | 12.3999996185303 | 11.5 | 11.6999998092651 | 10.1999998092651 | 8.30000019073486 | 6.90000009536743 | 8.60000038146973 | 8.89999961853027 | 9.5 | 9.5 | 9.30000019073486 | 8.39999961853027 | 7.59999990463257 | 8.10000038146973 | 8.5 | 7.19999980926514 | 7.40000009536743
Benin | [NAME] | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.100000001490116 |  |  |  |  |  | 0.600000023841858 |  |  |  |  |  |  |  |  |  | 0.400000005960464
[NAME] | BFA | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.600000023841858 |  |  |  |  |  |  |  |  |  |  |  |  | 2.59999990463257 |  |  |  |  |  |  |  | 1.70000004768372
Bangladesh | BGD | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.19999980926514 | 5.59999990463257 | 2.79999995231628 |  |  | 0.899999976158142 |  | 1.89999997615814 |  |  |  |  | 2.20000004768372 |  |  |  | 3.29999995231628 |  |  | 4.90000009536743 |  | 7 |  |  |  | 7.40000009536743
Bulgaria | BGR | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 22 | 19.8999996185303 | 15.8000001907349 | 13.3999996185303 | 13.5 | 11.8000001907349 | 14.1000003814697 | 15.8000001907349 | 18.8999996185303 | 17.3999996185303 | 13.1999998092651 | 11.6000003814697 | 9.80000019073486 | 9.30000019073486 | 7.30000019073486 | 5.80000019073486 | 6.59999990463257 | 9.5 | 10.1000003814697 | 10.8000001907349
Bahrain | BHR | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.8000001907349 |  |  |  |  |  |  |  |  |  | 10.5 |  |  | 20 |  |  |  |  |  | 3.70000004768372
Bahamas, The | BHS | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 15 |  | 14.1999998092651 | 12.5 |  | 12.1999998092651 | 15.8000001907349 | 13.3000001907349 | 14.1999998092651 | 11.6999998092651 | 14.6999998092651 | 11.3000001907349 | 9.5 | 9.5 |  | 7 | 9.39999961853027 | 11.6999998092651 | 11.1000003814697 | 11.1999998092651 | 8 | 9.10000038146973 | 9.69999980926514 | 14 |  | 13.6999998092651 | 14
Bosnia and Herzegovina | BIH | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21.6000003814697 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 35.7000007629395 | 33.7000007629395 | 27.1000003814697 | 25.7000007629395 | 30 | 29.8999996185303 | 30.7999992370605
Belarus | BLR | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.59999990463257
Belize | BLZ | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.09999990463257 |  | 14.5 | 15.5 | 17.8999996185303 | 18.6000003814697 | 20.2999992370605 | 21.2999992370605 | 20.2999992370605 |  | 15.3999996185303 | 15.3000001907349 |  |  | 17.2000007629395 | 15.1000003814697 | 13
Bermuda | BMU | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.30000019073486 |  |  |  |  |  |  |  |  | 2.29999995231628
Bolivia | BOL | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.1999998092651 | 11 | 13.1999998092651 |  | 12.8000001907349 | 12.3000001907349 | 7.09999990463257 | 5.59999990463257 | 5.30000019073486 | 2.90000009536743 | 4 | 5.59999990463257 | 3.59999990463257 |  | 5.09999990463257 | 5.90000009536743 | 6.40000009536743 | 6.80000019073486 |  | 5 | 6.5 | 6.09999990463257 | 6 | 3.79999995231628 | 4.40000009536743
Brazil | BRA | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.40000009536743 | 4 | 4.80000019073486 | 4.59999990463257 | 3.90000009536743 | 2.70000004768372 | 4 | 4.30000019073486 | 3 | 3.5 |  | 7.90000009536743 | 7.30000019073486 |  | 7.19999980926514 | 8.60000038146973 | 9.80000019073486 | 11.5 | 12.1000003814697 |  | 11.8999996185303 | 11.5 | 12.3000001907349 | 11.6999998092651 | 12.1999998092651 | 11 | 10.8000001907349 | 9.60000038146973 | 11 |  | 9.10000038146973
Barbados | BRB | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.8000001907349 | 15 | 18 | 19.7999992370605 | 22.1000003814697 | 24 | 23 | 23.2999992370605 | 23.2999992370605 | 18.7000007629395 | 20.2000007629395 | 21 | 25.7999992370605 | 29 | 27.8999996185303 | 22.7000007629395 | 17.6000003814697 | 18 | 16.3999996185303 | 13.3000001907349 | 11.5 | 11.8000001907349 | 12.1000003814697 | 12.6000003814697 | 10.5 | 10.8999996185303 | 9.69999980926514 | 8.5 | 9.39999961853027 | 9.89999961853027 | 10.6000003814697 | 12.5 | 12.1999998092651
[NAME] | BRN | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.69999980926514
Bhutan | BTN | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.39999997615814 | 1.60000002384186 |  | 3.20000004768372 |  | 2 | 3.29999995231628 | 3.29999995231628 | 3.79999995231628 |  |  | 5.30000019073486 | 4 | 4.5 | 2.20000004768372
Botswana | BWA | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 30.7999992370605 |  |  |  |  |  | 17.2000007629395 |  |  | 22.7999992370605 |  | 23.8999996185303 |  | 23.5 |  | 17.2000007629395 | 22.2000007629395 |  | 26.2999992370605 |  |  | 19.8999996185303
Sub-Saharan Africa (IFC classification) | CAA | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Central African Republic | CAF | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Canada | CAN | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.30000019073486 | 8.30000019073486 | 10.6999998092651 | 11.6000003814697 | 11.3000001907349 | 10.6999998092651 | 9.89999961853027 | 9.19999980926514 | 8.19999980926514 | 7.80000019073486 | 8.10000038146973 | 9.69999980926514 | 10.1999998092651 | 10.6999998092651 | 9.80000019073486 | 9.10000038146973 | 9.30000019073486 | 8.89999961853027 | 8 | 7.30000019073486 | 6.69999980926514 | 6.90000009536743 | 7.09999990463257 | 7.19999980926514 | 6.90000009536743 | 6.5 | 6.09999990463257 | 5.59999990463257 | 5.59999990463257 | 7 | 7.19999980926514 | 7 | 6.80000019073486
East Asia and the Pacific (IFC classification) | CEA | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Central Europe and the Baltics | CEB | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.57656820381906 | 12.3956850574406 | 11.36979981535652 | 10.86901793757983 | 10.11394945560265 | 9.728552655939401 | 10.74584663618234 | 12.86879061980526 | 13.69339320381407 | 14.13933996251137 | 13.44590373333415 | 13.13533810293968 | 12.59096137701552 | 10.53141045201933 | 8.142550750526006 | 6.948636057265719 | 8.423290084527835 | 9.833538051924721 | 9.899067764443597 | 10.14421859913342
Europe and Central Asia (IFC classification) | CEU | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Switzerland | CHE | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.59999990463257 | 2.40000009536743 | 3.5 | 4.69999980926514 | 4.30000019073486 | 3.79999995231628 | 4 | 3.90000009536743 | 4.19999980926514 | 3.59999990463257 | 3.09999990463257 | 3.5 | 3.09999990463257 | 4.5 | 4.80000019073486 | 5.09999990463257 | 4.69999980926514 | 4.5 | 4 | 4.5 | 5 | 4.40000009536743 | 4.5
Channel Islands | CHI | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Chile | CHL | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10 | 9.89999961853027 | 18.2999992370605 | 14.6999998092651 | 15.8999996185303 | 13.3000001907349 | 9.69999980926514 | 9.30000019073486 | 7.69999980926514 | 6 | 5.69999980926514 | 5.69999980926514 | 5.30000019073486 | 5.09999990463257 | 6.80000019073486 | 5.30000019073486 | 7.90000009536743 | 7.69999980926514 | 7.59999990463257 | 10.6000003814697 | 10 | 9.69999980926514 | 9.60000038146973 | 9.69999980926514 | 10.5 | 9.80000019073486 | 9.39999961853027 | 8.60000038146973 | 9.5 | 10.6999998092651 | 9.60000038146973 | 8.69999980926514 | 7.90000009536743
China | CHN | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Cote d'Ivoire | CIV | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Latin America and the Caribbean (IFC classification) | CLA | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Middle East and North Africa (IFC classification) | CME | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Cameroon | CMR | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.5 |  |  |  |  | 6.69999980926514 |  |  |  | 4.59999990463257 |  | 3.29999995231628 |  |  | 4.5
Congo, Rep. | COG | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Colombia | COL | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.5 |  |  |  |  |  | 17.2000007629395 | 14.5 |  | 11.8000001907349 | 13.1999998092651 | 13.6000003814697 | 13 | 12 | 12.3999996185303 | 11.3000001907349 | 15 | 15 | 18 | 23.2999992370605 | 23 | 19.3999996185303 | 20 | 19 | 18.1000003814697 | 16.1000003814697 | 15.8999996185303 | 14.6999998092651 | 14.3000001907349 | 15.1999998092651 | 15.6000003814697 | 14.5 | 13.8000001907349
Comoros | COM | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 16.8999996185303
Cabo Verde | CPV | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 22.6000003814697
Costa Rica | CRI | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.80000019073486 | 10.3999996185303 | 11.3999996185303 | 9.69999980926514 | 5.80000019073486 | 7.90000009536743 | 7 | 7.90000009536743 | 8 | 5.19999980926514 | 5.90000009536743 | 7.40000009536743 | 5.40000009536743 | 5.30000019073486 | 5.80000019073486 | 6.59999990463257 | 8.30000019073486 | 7.5 | 8.10000038146973 | 8.30000019073486 | 6.80000019073486 | 7.59999990463257 | 7.90000009536743 | 8.19999980926514 | 8.39999961853027 | 9.60000038146973 | 8.60000038146973 | 6.80000019073486 | 6.30000019073486 | 9.89999961853027 | 9.5 | 10.3000001907349 | 10.1999998092651
South Asia (IFC classification) | CSA | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Caribbean small states | CSS | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 22.8710849481703 | 21.20782326829886 | 21.76326794800983 | 22.12486957609703 | 21.38320658922055 | 20.69928022806926 | 21.11961173465309 | 20.9674889777954 | 19.95672245395399 | 19.42449871306787 |  | 17.41548246568648 | 16.93686798534649 | 15.67934692873592 | 14.07470647610346 | 13.88094336769856 | 11.57788099724905 | 11.92858429359218 | 11.70779991520046
Cuba | CUB | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13 | 12.3000001907349 | 11.1999998092651 | 9.39999961853027 | 9.60000038146973 | 8.30000019073486 | 5.80000019073486 | 4.59999990463257 | 3.40000009536743 | 2.20000004768372 | 2.20000004768372 | 2.20000004768372 | 1.89999997615814 | 2 | 2 | 2.70000004768372 | 3.5
[NAME] | CUW | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Cayman Islands | CYM | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.1999998092651 |  |  |  |  |  | 5.09999990463257 |  |  |  |  |  |  |  |  | 2.79999995231628 | 4.19999980926514 | 4.09999990463257
Cyprus | CYP | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.20000004768372 |  |  |  |  |  |  | 7.90000009536743 | 7.40000009536743 | 5.69999980926514 | 4.09999990463257 | 4.59999990463257 | 5.40000009536743 | 6.5 | 5.40000009536743 | 4.59999990463257 | 4.30000019073486 | 5.5 | 6.40000009536743 | 7.59999990463257 | 11
Czech Republic | CZE | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.09999990463257 |  | 5.40000009536743 | 5.19999980926514 | 4.80000019073486 | 4.69999980926514 | 5.90000009536743 | 8.19999980926514 | 10.5 | 10.6000003814697 | 9.89999961853027 | 9 | 9.89999961853027 | 9.89999961853027 | 9.80000019073486 | 8.80000019073486 | 6.69999980926514 | 5.59999990463257 | 7.69999980926514 | 8.5 | 7.90000009536743 | 8.19999980926514
Germany | DEU | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7 | 8.39999961853027 | 9.60000038146973 | 10.1000003814697 | 9.39999961853027 | 9.60000038146973 | 10.6000003814697 | 9.89999961853027 | 8.89999961853027 | 8.10000038146973 | 7.90000009536743 | 8.30000019073486 | 8.80000019073486 | 10 | 10.8999996185303 | 10.1999998092651 | 8.80000019073486 | 7.69999980926514 | 7.30000019073486 | 6.59999990463257 | 5.59999990463257 | 5.19999980926514
Djibouti | DJI | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46.7000007629395 |  |  |  |  |  |  |  |  |  |  | 68.5999984741211
Dominica | DMA | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 18.2999992370605 |  | 9.80000019073486 |  |  |  |  |  | 27.2999992370605 |  | 19.5 |  | 9.5
Denmark | DNK | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.3999996185303 | 10.1999998092651 | 9.5 | 7.80000019073486 | 7.09999990463257 | 7.30000019073486 | 8.89999961853027 | 8.89999961853027 | 10 | 9.89999961853027 | 11.1000003814697 | 9 | 8.60000038146973 | 8.39999961853027 | 6.40000009536743 | 6.40000009536743 | 5.90000009536743 | 5 | 4.80000019073486 | 5 | 6.09999990463257 | 6 | 5.30000019073486 | 4.5 | 4.19999980926514 | 3.70000004768372 | 5.30000019073486 | 6.5 | 7.5 | 7.5
Dominican Republic | DOM | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 33.2999992370605 | 35.2000007629395 | 34.7999992370605 | 27.1000003814697 | 26.2000007629395 | 28.3999996185303 | 28.1000003814697 | 23.7999992370605 | 24.8999996185303 | 23.2999992370605 | 26.1000003814697 | 26.6000003814697 | 26.6000003814697 | 30.6000003814697 | 28.7999992370605 | 27.2000007629395 | 25.5 | 22.8999996185303 | 23.2000007629395 | 16.3999996185303 | 21.6000003814697
Algeria | DZA | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 15.8999996185303 |  | 17 | 20.2999992370605 |  |  | 38.4000015258789 |  | 26.2000007629395 |  |  | 29.7000007629395 |  |  | 25.3999996185303 | 21.2999992370605 | 17.5 | 14.3999996185303 | 18.3999996185303 | 17.3999996185303 | 18.1000003814697 | 19.1000003814697 | 17.2000007629395
East Asia & Pacific (developing only) | EAP | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
East Asia & Pacific (all income levels) | EAS | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Europe & Central Asia (developing only) | ECA | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9.905154556105721 | 9.618657408280948 | 10.6862103738989 | 9.919577635216571 | 9.261178528959633 | 9.592403488407752 | 9.374166810736186 | 9.347395370161308 | 9.196405516726728 | 8.695679705673204 | 9.703179448212953 | 9.922257280338057 | 9.557499555888485 | 9.220916082066875
Europe & Central Asia (all income levels) | ECS | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9.138977101480503 | 10.32556748905504 | 11.09076386143819 | 10.54489025344863 | 10.66547994768015 | 11.28678054423759 | 11.3297481381106 | 11.20901952997273 | 10.34754031582998 | 9.648169095996037 | 9.347844957576449 | 9.303398793932061 | 9.385936090830338 | 9.069037833356052 | 8.566626432239781 | 7.665702077037094 | 7.395984265874092 | 8.819688495689041 | 9.03781366676868 | 8.859196831406576 | 9.100521142030791
Ecuador | ECU | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.3999996185303 | 10.3000001907349 | 11.1000003814697 | 9.10000038146973 | 8.5 | 13.1999998092651 | 11.5 | 9.30000019073486 | 8.80000019073486 | 14.1000003814697 | 12.6000003814697 | 15.8999996185303 | 19.6000003814697 | 13.1000003814697 | 16.2000007629395 | 13.8999996185303 | 15 | 11.3999996185303 | 10.8000001907349 | 11 | 7.59999990463257 | 9.60000038146973 | 8.39999961853027 | 6.40000009536743 | 5.59999990463257 | 4.80000019073486
Egypt, Arab Rep. | EGY | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19.2000007629395 | 18.7999992370605 | 20.5 | 10.6000003814697 | 11.3999996185303 |  |  |  |  | 10.6999998092651 | 17.8999996185303 | 21.2999992370605 | 17 | 22.2999992370605 | 22.7999992370605 | 24.1000003814697 | 20.3999996185303 | 19.7999992370605 | 19.8999996185303 | 19.3999996185303 | 22.7000007629395 | 22.2000007629395 | 23.8999996185303 | 24.2000007629395 | 24.3999996185303 | 25.1000003814697 | 24 | 18.7000007629395 | 19.2999992370605 | 23 | 22.6000003814697 | 22.7000007629395 | 24.1000003814697
Euro area | EMU | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.59497781023484 | 11.35318045729112 | 11.91269275895963 | 13.19945596231966 | 14.06800367549658 | 13.86099877916203 | 13.97743096390507 | 13.91557104260437 | 13.38058236144198 | 12.53975949527593 | 11.35019588286083 | 9.867687242788472 | 10.03582464595454 | 10.09215485977339 | 10.43696931513339 | 10.18101457257082 | 9.513169037494752 | 8.535887818104593 | 8.313455862158307 | 9.732731167273283 | 10.30001188415496 | 10.38951987747826 | 11.52529439392069
Eritrea | ERI | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Spain | ESP | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.1000003814697 | 16.2000007629395 | 18.7000007629395 | 20.6000003814697 | 23.2000007629395 | 25.1000003814697 | 25.2999992370605 | 27.3999996185303 | 27.7000007629395 | 25.7000007629395 | 24.5 | 24.1000003814697 | 25.7999992370605 | 29.3999996185303 | 31.6000003814697 | 30.7999992370605 | 29.7000007629395 | 28.2999992370605 | 26.6000003814697 | 23.1000003814697 | 20.5 | 15.1999998092651 | 16.3999996185303 | 15.8999996185303 | 15 | 12.1999998092651 | 11.6000003814697 | 10.8999996185303 | 13 | 18.3999996185303 | 20.5 | 22.2000007629395 | 25.3999996185303
Estonia | EST | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.699999988079071 | 1.5 | 3.5 | 6.59999990463257 | 7.90000009536743 | 8.89999961853027 | 9.19999980926514 | 9.5 | 8.5 | 10.1999998092651 | 11.5 | 13 | 8.60000038146973 | 10.3999996185303 | 8.69999980926514 | 7.09999990463257 | 5.59999990463257 | 3.90000009536743 | 5.30000019073486 | 10.6000003814697 | 14.3000001907349 | 11.8000001907349 | 9.30000019073486
Ethiopia | ETH | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.39999997615814 |  |  |  |  |  |  | 1.60000002384186 |  |  | 3.29999995231628 |  |  |  |  | 12.6000003814697 |  |  |  |  | 31.2000007629395 | 8.19999980926514 | 22.6000003814697
European Union | EUU | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.09703412579597 | 11.15630650313756 | 12.35786897048847 | 12.60325803381257 | 12.17777579109159 | 12.0487411064904 | 11.76766636569163 | 11.26063275787068 | 10.89055246478113 | 10.53939373482592 | 9.69811460587572 | 9.918060902240793 | 9.78923188694083 | 9.96143216558326 | 9.72778008147344 | 8.975202127599056 | 7.870952972621089 | 7.459881213332513 | 8.888482828134933 | 9.568044766783792 | 9.712941080135009 | 10.51927358900102
Fragile and conflict affected situations | FCS | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Finland | FIN | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.69999980926514 | 4.59999990463257 | 5.19999980926514 | 5.30000019073486 | 5.09999990463257 | 4.59999990463257 | 4.5 | 4.40000009536743 | 3.90000009536743 | 3.20000004768372 | 2.59999990463257 | 5 | 9.60000038146973 | 14.3999996185303 | 14.8999996185303 | 15.1000003814697 | 14.8000001907349 | 13 | 12.1000003814697 | 10.6000003814697 | 10.6000003814697 | 9.69999980926514 | 9.10000038146973 | 8.89999961853027 | 9 | 8.69999980926514 | 8 | 7.30000019073486 | 6.69999980926514 | 7.5 | 7.69999980926514 | 7.09999990463257 | 7
Fiji | FJI | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.1000003814697 |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.80000019073486 |  |  |  |  |  |  |  | 6 | 5.90000009536743 |  | 12.8999996185303
France | FRA | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9.5 | 10.6000003814697 | 11.1999998092651 | 10.5 | 12.1000003814697 | 12.6000003814697 | 12.3000001907349 | 13.5 | 12.8000001907349 | 12.6000003814697 | 12.1999998092651 | 11.6000003814697 | 12.8000001907349 | 13.3999996185303 | 14.5 | 14.1000003814697 | 14.5 | 14.3999996185303 | 14.1000003814697 | 13.8999996185303 | 12.1999998092651 | 10.5 | 9.80000019073486 | 9.60000038146973 | 10.3999996185303 | 9.89999961853027 | 9.69999980926514 | 8.60000038146973 | 7.90000009536743 | 9.39999961853027 | 9.69999980926514 | 9.69999980926514 | 10
Faeroe Islands | FRO | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.90000009536743
Micronesia, Fed. [NAME]. | FSM | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Gabon | GAB | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 16.1000003814697
United Kingdom | GBR | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.6000003814697 | 10.8000001907349 | 10.6000003814697 | 10.1999998092651 | 8.5 | 7 | 6.5 | 7.30000019073486 | 7.30000019073486 | 7.59999990463257 | 7.30000019073486 | 6.80000019073486 | 6.30000019073486 | 5.80000019073486 | 5.30000019073486 | 5.09999990463257 | 4.80000019073486 | 4.09999990463257 | 4.40000009536743 | 4.09999990463257 | 4.19999980926514 | 4.19999980926514 | 4.90000009536743 | 4.90000009536743 | 4.69999980926514 | 6.40000009536743 | 6.69999980926514 | 7.09999990463257 | 7.30000019073486
Georgia | GEO | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.1999998092651 | 12.1999998092651 | 10.5 | 10.6999998092651 | 11 | 11.5 | 11.8000001907349 | 12.6999998092651 | 11.6999998092651 | 12.6000003814697 | 16.1000003814697 | 15.3999996185303 | 14.5 | 13.1000003814697 | 13.8000001907349
Ghana | GHA | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.5 |  |  |  |  |  |  | 10.6999998092651 | 10.6999998092651 |  |  |  |  |  | 3.59999990463257 |  |  |  | 4.40000009536743
Guinea | GIN | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.70000004768372
Gambia, The | GMB | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Guinea-Bissau | GNB | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Equatorial Guinea | GNQ | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 18.5
Greece | GRC | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.69999980926514 | 8.10000038146973 | 11.6999998092651 | 12.1000003814697 | 11.6999998092651 | 11.6000003814697 | 11.3999996185303 | 12.5 | 12.3999996185303 | 11.6999998092651 | 12.8999996185303 | 12.8999996185303 | 14.3000001907349 | 13.6999998092651 | 13.8000001907349 | 15.3999996185303 | 14.8000001907349 | 16.5 | 17.8999996185303 | 16.7000007629395 | 15.3999996185303 | 15.6000003814697 | 15 | 16.2000007629395 | 15.3000001907349 | 13.6000003814697 | 12.8000001907349 | 11.3999996185303 | 13.1000003814697 | 16.2000007629395 | 21.3999996185303 | 28.1000003814697
Grenada | GRD | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 37 |  | 24.8999996185303 |  | 21.7999992370605 |  |  | 10.8999996185303
Greenland | GRL | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.6000003814697 | 8.19999980926514 | 9.69999980926514 | 7.40000009536743 | 10 | 7.69999980926514 | 7.80000019073486 | 8.60000038146973 | 8.80000019073486 | 8 | 6.69999980926514
Guatemala | GTM | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.69999980926514 |  | 3.09999990463257 |  |  |  |  |  |  |  |  |  | 1.39999997615814 | 1.5 | 1.39999997615814 | 4.30000019073486 | 3.70000004768372 | 3.70000004768372 |  | 2.40000009536743 |  |  |  | 4.19999980926514 | 6.59999990463257 | 3.59999990463257
Guam | GUM | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.09999990463257 | 9.80000019073486 | 10.8000001907349 | 9.10000038146973 | 8.30000019073486 | 8.80000019073486 | 7.19999980926514 | 4.5 |  |  |  |  |  |  |  |  |  |  | 6.19999980926514 | 12.1999998092651 | 12.3999996185303 | 11.6999998092651 | 9.69999980926514 |  | 7.69999980926514 | 7.69999980926514 | 7.5 | 9.89999961853027 |  | 9.80000019073486 | 9.30000019073486 | 15.6999998092651 | 10.8000001907349
Guyana | GUY | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 23.8999996185303 |  |  |  |  | 15.3000001907349
High income | HIC | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.861023607852712 | 7.281576728889508 | 7.56667140744512 | 8.054895335690183 | 8.394121319268383 | 8.283471755594448 | 8.291736120886485 | 8.383773425110238 | 8.489236434652232 | 8.31049688993472 | 7.64635843338163 | 7.253197201763709 | 7.466662719912012 | 7.556422989770761 | 7.384200183563192 | 7.085332225714295 | 6.574347243781968 | 5.918676613816118 | 6.061594496706415 | 7.758684034548296 | 7.924787661922006 | 7.79059660551771 | 7.850724749010293
Hong Kong SAR, China | HKG | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.40000009536743 | 3.09999990463257 | 3.09999990463257 | 3.5 | 3.29999995231628 | 2.59999990463257 | 2.5 | 1.79999995231628 | 1.39999997615814 | 1.10000002384186 | 1.29999995231628 | 1.60000002384186 | 1.89999997615814 | 1.89999997615814 | 1.70000004768372 | 2.90000009536743 | 2.40000009536743 | 2.09999990463257 | 4 | 4.90000009536743 | 4 | 3.79999995231628 | 5.90000009536743 | 6.19999980926514 | 5.5 | 4.40000009536743 | 3.70000004768372 | 3.40000009536743 | 3 | 4.30000019073486 | 3.5 | 2.79999995231628 | 2.70000004768372
Honduras | HND | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.8999996185303 |  |  |  | 6.19999980926514 | 5.5 | 3 |  |  | 3.40000009536743 | 4.40000009536743 | 3.29999995231628 | 4.30000019073486 | 3.90000009536743 |  | 4.5 | 4.69999980926514 | 6.40000009536743 | 8.30000019073486 | 6.19999980926514 | 4.19999980926514 | 2.90000009536743 | 3.79999995231628 | 4.19999980926514 | 5.59999990463257 | 6.19999980926514
Heavily indebted poor countries (HIPC) | HPC | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Croatia | HRV | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.1999998092651 |  |  |  |  | 10.5 | 10.3999996185303 | 11.5 | 14.5 | 17.2999992370605 | 21.2999992370605 | 17.2999992370605 | 15.6000003814697 | 15.3000001907349 | 13.8000001907349 | 12.6999998092651 | 11.1000003814697 | 10 | 10.3000001907349 | 12.1999998092651 | 13.1999998092651 | 15.5
Haiti | HTI | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.6000003814697 | 13.5 |  |  |  |  | 30.8999996185303 |  | 13.8000001907349 |  |  |  |  |  |  |  |  | 8.30000019073486
Hungary | HUN | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.69999980926514 | 10.3999996185303 | 9.39999961853027 | 8.69999980926514 | 8.80000019073486 | 7.69999980926514 | 7 | 6.30000019073486 | 5.59999990463257 | 5 | 5.40000009536743 | 5.59999990463257 | 6.09999990463257 | 7.5 | 7.80000019073486 | 7.69999980926514 | 8.10000038146973 | 9.69999980926514 | 10.6999998092651 | 10.8999996185303 | 10.6000003814697
Indonesia | IDN | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.5 |  |  | 2.09999990463257 | 2.70000004768372 |  | 2.79999995231628 | 2.70000004768372 |  |  | 3 |  |  |  | 5.5 |  | 6.09999990463257 | 6.80000019073486 | 6.69999980926514 | 10.6000003814697 |  | 13 | 12.8999996185303 | 14.1999998092651 | 13.3999996185303 | 10.8000001907349 | 9.69999980926514 | 8.5 | 8.73596281198607 | 8.5918551567339 | 6.76632529016809
Isle of Man | IMN | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.29999995231628 |  |  |  |  | 2.59999990463257 |  |  |  |  | 1.5 |  |  |  |  | 2
India | IND | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.90000009536743 | 1.70000004768372 | 1.29999995231628 | 2.40000009536743 | 3.79999995231628 |  | 4.19999980926514 |  |  |  |  | 5 |  |  |  |  | 4.30000019073486 |  | 4
Not classified | INX | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Ireland | IRL | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 15.8999996185303 | 17.3999996185303 | 19.2000007629395 | 19.5 | 19 | 18.3999996185303 | 16.5 | 15 | 16.6000003814697 | 15.3000001907349 | 15.8999996185303 | 14.6999998092651 | 12.1000003814697 | 11.8000001907349 | 10.1999998092651 | 7.30000019073486 | 5.59999990463257 | 4.30000019073486 | 3.59999990463257 | 3.79999995231628 | 4 | 3.79999995231628 | 4 | 4.19999980926514 | 4.19999980926514 | 4.59999990463257 | 8.19999980926514 | 9.80000019073486 | 10.8000001907349 | 11
Iran, Islamic Rep. | IRN | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 25.5 |  |  |  |  | 24.3999996185303 |  |  |  |  | 13.3999996185303 |  |  |  |  |  | 22.3999996185303 |  | 17.7999992370605 | 18.2000007629395 |  | 15.8999996185303 | 16.7999992370605
Iraq | IRQ | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 16 | 15 | 14.1999998092651 | 22.5 |  | 19.6000003814697
Iceland | ISL | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.90000009536743 | 4.90000009536743 | 5.59999990463257 | 5.5 | 4.90000009536743 | 4.09999990463257 | 4.5 | 3.29999995231628 | 2.59999990463257 | 2.90000009536743 | 2.5 | 2.90000009536743 | 3.09999990463257 | 2.90000009536743 | 2.59999990463257 | 3.09999990463257 | 2.29999995231628 | 2.59999990463257 | 5.69999980926514 | 6.69999980926514 | 6.19999980926514 | 5.69999980926514
Israel | ISR | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6 | 6.40000009536743 | 6 | 5.30000019073486 | 7 | 7.30000019073486 | 7.90000009536743 | 7.30000019073486 | 7.59999990463257 | 10.3000001907349 | 11.3000001907349 | 13.3999996185303 | 13.8999996185303 | 12.1000003814697 | 10 | 8.60000038146973 | 7.80000019073486 | 8.80000019073486 | 9.19999980926514 | 9.39999961853027 | 9.19999980926514 | 9.80000019073486 | 10.6000003814697 | 11.3000001907349 | 11.3999996185303 | 9.5 | 9 | 7.90000009536743 | 6.5 | 7.5 | 6.5 | 5.59999990463257 | 7
Italy | ITA | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.1000003814697 | 14.3999996185303 | 14.8000001907349 | 14.3000001907349 | 15.3000001907349 | 15.3000001907349 | 17 | 16.6000003814697 | 17.3999996185303 | 17.2999992370605 | 15.6999998092651 | 15.6999998092651 | 13.8999996185303 | 14.8000001907349 | 15.3000001907349 | 16.1000003814697 | 16.2000007629395 | 16.3999996185303 | 16.5 | 16.2999992370605 | 14.8999996185303 | 13 | 12.6000003814697 | 11.8999996185303 | 10.1999998092651 | 10.1000003814697 | 8.80000019073486 | 7.90000009536743 | 8.5 | 9.30000019073486 | 9.69999980926514 | 9.60000038146973 | 11.8999996185303
Jamaica | JAM | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 39.5999984741211 | 38 | 39.5 | 38.4000015258789 | 36.5999984741211 | 36 | 33.7999992370605 | 30.3999996185303 | 27 | 25.2000007629395 | 23.1000003814697 | 22.7999992370605 | 22.2000007629395 | 22.3999996185303 | 21.7999992370605 | 22.5 | 23 | 23.5 | 22.1000003814697 | 22.3999996185303 | 22.2999992370605 | 21 | 19.7999992370605 | 16.7000007629395 | 15.6999998092651 | 15.3000001907349 | 13 | 14.3000001907349 | 14.6000003814697 | 14.8000001907349 | 16.2000007629395 | 17.2000007629395 | 17.7999992370605
Jordan | JOR | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 22.7999992370605 |  |  | 22.2999992370605 | 25.3999996185303 |  |  |  |  |  | 30 |  | 29.8999996185303 | 24.2999992370605 |  |  |  | 21 | 19.7000007629395 | 19.6000003814697 | 19.7000007629395 | 16.5 |  |  | 25.8999996185303 | 24.3999996185303 | 24.1000003814697 | 21.7000007629395 | 21.2000007629395 | 19.8999996185303
Japan | JPN | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2 | 2.20000004768372 | 2.20000004768372 | 2.59999990463257 | 2.79999995231628 | 2.70000004768372 | 2.79999995231628 | 2.79999995231628 | 2.59999990463257 | 2.29999995231628 | 2.20000004768372 | 2.20000004768372 | 2.20000004768372 | 2.70000004768372 | 3 | 3.29999995231628 | 3.40000009536743 | 3.40000009536743 | 4 | 4.5 | 4.5 | 4.80000019073486 | 5.09999990463257 | 4.90000009536743 | 4.40000009536743 | 4.19999980926514 | 3.79999995231628 | 3.70000004768372 | 3.79999995231628 | 4.69999980926514 | 4.5 | 4.09999990463257 | 4
Kazakhstan | KAZ | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12 | 11.1999998092651 | 10.3999996185303 | 9.80000019073486 | 9.60000038146973 | 9.19999980926514 | 8.69999980926514 | 7.90000009536743 | 7.5 | 6.59999990463257 | 6.19999980926514 | 6.5
Kenya | [NAME] | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Kyrgyz Republic | KGZ | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.3000001907349 | 10.5 | 9.30000019073486 | 9.10000038146973 | 9 | 9 | 9.39999961853027
Cambodia | KHM | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.20000004768372 |  | 2.79999995231628 | 2 |  |  |  |  |  |  | 1.79999995231628 | 0.100000001490116 | 0.300000011920929 | 0.100000001490116 | 0.200000002980232
Kiribati | KIR | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
St. Kitts and Nevis | KNA | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.90000009536743
Korea, Rep. | KOR | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.5 | 2.40000009536743 | 2.5 | 2.20000004768372 | 2.20000004768372 | 2.40000009536743 | 2.09999990463257 | 1.79999995231628 | 1.79999995231628 | 1.79999995231628 | 1.79999995231628 | 2 | 2.09999990463257 | 2.29999995231628 | 1.89999997615814 | 1.70000004768372 | 1.60000002384186 | 2.29999995231628 | 5.69999980926514 | 5.09999990463257 | 3.59999990463257 | 3.29999995231628 | 2.70000004768372 | 3.29999995231628 | 3.40000009536743 | 3.40000009536743 | 2.90000009536743 | 2.59999990463257 | 2.59999990463257 | 3 | 3.29999995231628 | 3.09999990463257 | 3
Kosovo | KSV | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 70 | 74.5 | 71.9000015258789 | 60.7000007629395 | 60.5 | 61.5999984741211 | 55.2000007629395 | 59.5999984741211 | 40.7000007629395 |  |  | 40
Kuwait | KWT | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1 |  |  |  |  | 2.59999990463257 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.79999995231628 | 2.90000009536743 | 3.09999990463257 | 3.70000004768372 | 3.40000009536743 | 2.79999995231628 | 4.90000009536743
Latin America & Caribbean (developing only) | LAC | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.897638886035705 |  | 8.352812429097478 | 8.389202982144212 |  | 9.816540845225063 | 10.57553774432416 | 10.53361263472508 | 11.14289810279853 | 11.53476540945533 |  | 11.38094677211092 | 11.65279162668164 | 12.16380217639168 | 10.98294540265421 | 10.47054760553809 | 9.551949275319648 | 9.03562396884751 | 8.385745097157445 | 9.326162102851693 |  | 8.411275237790749
Lao PDR | LAO | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.59999990463257 |  |  |  |  |  |  |  |  |  | 1.39999997615814
Lebanon | LBN | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9.5 |  |  | 10.1000003814697
Liberia | LBR | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.19999980926514 |  |  | 4.09999990463257
Libya | LBY | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
St. Lucia | LCA | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7 |  | 22 | 24 | 21 | 19.2999992370605 | 23.7999992370605 | 26 | 20.2999992370605 | 20.7999992370605 |  | 17.7000007629395 | 28 | 25 | 22.8999996185303 | 20.2999992370605 | 18.5 | 18.6000003814697 | 19.6000003814697 | 22
Latin America & Caribbean (all income levels) | LCN | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.023292562381914 |  | 8.409534385932155 | 8.426218371212629 |  | 9.782770285022488 | 10.55587078743004 | 10.50650127804142 | 11.09953862691003 | 11.53720345139418 |  | 11.39928882409239 | 11.67916054853084 | 12.16654982990125 | 10.95792458667503 | 10.48861128613222 | 9.580691038833786 | 9.047521749358719 | 8.430430672752957 | 9.391360199616335 |  | 8.446145332170845
Latin America and the Caribbean | LCR | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Least developed countries: UN classification | LDC | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Low income | LIC | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
[NAME] | LIE | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
[NAME] | LKA | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 20.7999992370605 |  |  |  |  |  |  |  | 21.6000003814697 | 19.3999996185303 | 18.7000007629395 | 17.8999996185303 | 16.7000007629395 | 13.8999996185303 | 13.3999996185303 | 11.3999996185303 | 11.5 | 12.8999996185303 | 12.8999996185303 | 12.8999996185303 | 11.8999996185303 | 9.69999980926514 | 9 | 8 | 8.60000038146973 | 7.69999980926514 | 7 | 6.19999980926514
Lower middle income | LMC | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.462804467260238 | 4.465163897973049 | 3.960401903883475 | 5.079234778832841 | 5.938323352118775 |  | 6.329611652317637 |  |  |  |  | 7.760316950203951 |  |  |  |  | 6.73997080924627 |  | 5.332598893269378
Low & middle income | LMY | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
[NAME] | LSO | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.80000019073486 |  |  |  |  |  |  |  |  |  |  | 47.0999984741211 |  | 33.0999984741211 |  |  |  |  |  |  |  |  | 28
Lithuania | LTU | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 15.8999996185303 | 13.8999996185303 | 11.8999996185303 | 12.1000003814697 | 13.6000003814697 | 14.1000003814697 | 12.8000001907349 | 13.1999998092651 | 11.6000003814697 | 8.30000019073486 | 5.40000009536743 | 4.30000019073486 | 5.59999990463257 | 10.3999996185303 | 14.3999996185303 | 12.8999996185303 | 11.5
Luxembourg | LUX | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5 | 3.90000009536743 | 4.40000009536743 | 4.09999990463257 | 3.70000004768372 | 2.79999995231628 | 2.40000009536743 | 2.40000009536743 | 2.09999990463257 | 2.70000004768372 | 3 | 4.30000019073486 | 4.40000009536743 | 4.69999980926514 | 3.59999990463257 | 4.19999980926514 | 3.29999995231628 | 3.09999990463257 | 2.20000004768372 | 3.59999990463257 | 4.69999980926514 | 7.09999990463257 | 5.80000019073486 | 6.19999980926514 | 4.69999980926514 | 6 | 6.09999990463257 | 5.09999990463257 | 6.30000019073486 | 5.90000009536743
Latvia | LVA | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19.7999992370605 | 14.6000003814697 | 13.5 | 13.3999996185303 | 13.3999996185303 | 11.5 | 11.6000003814697 | 10.8000001907349 | 10.3999996185303 | 8.69999980926514 | 6.19999980926514 | 5.59999990463257 | 6.90000009536743 | 13.8999996185303 | 15.6999998092651 | 13.8000001907349 | 13.8999996185303
Macao SAR, China | MAC | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.09999990463257 | 4 | 3.70000004768372 | 2.40000009536743 | 1.79999995231628 | 2.40000009536743 | 3 | 3.59999990463257 | 2.5 | 3.29999995231628 | 4.40000009536743 | 4.59999990463257 | 4.5 | 4.59999990463257 | 4.80000019073486 | 4.09999990463257 | 3.79999995231628 | 3.79999995231628 | 2.70000004768372 | 2.79999995231628 | 2.79999995231628 | 2.09999990463257 | 2.09999990463257
St. Martin (French part) | MAF | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Morocco | MAR | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 18.5 | 17.2999992370605 | 19.7999992370605 | 20.3999996185303 | 23.2999992370605 | 25.2999992370605 | 21.7000007629395 |  | 32.2000007629395 | 23.6000003814697 | 21.7999992370605 | 24.3999996185303 | 13.3000001907349 | 13 | 12.5 | 12.5 | 13 | 11.3000001907349 | 11.5 | 9.69999980926514 | 9.80000019073486 | 9.80000019073486 | 9.5 | 9.60000038146973 | 10.1999998092651 | 9.89999961853027
Mexico and Central America | MCA | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Monaco | MCO | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.19999980926514
Moldova | MDA | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.89999961853027 | 7.19999980926514 | 5.90000009536743 | 5.5 | 6.40000009536743 | 6.30000019073486 | 6 | 5.69999980926514 | 3.90000009536743 | 3.40000009536743 | 4.90000009536743 | 5.69999980926514 | 5.59999990463257 | 4.30000019073486
Madagascar | MDG | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.69999980926514 | 5.40000009536743 |  | 6.19999980926514 |  | 3.5
Maldives | MDV | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.29999995231628 |  |  |  |  | 2.70000004768372 |  |  |  |  |  | 23.7999992370605
Middle East & North Africa (all income levels) | MEA | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 20.87217257884326 |  |  |  |  |  |  |  |  |  |  | 19.33486975802729 |  | 19.29404155443476 | 19.39708195857227 | 19.03514227690766 | 17.18343131895531 | 17.42206895726009 | 18.83612578254561
Mexico | MEX | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.70000004768372 |  |  | 4.19999980926514 | 4 | 4 | 4.80000019073486 | 8.60000038146973 | 6.90000009536743 | 6.09999990463257 | 4.90000009536743 | 3.5 | 3.29999995231628 | 3.29999995231628 | 3.5 | 3.59999990463257 | 4.69999980926514 | 3.59999990463257 | 3.5 | 3.70000004768372 | 3.90000009536743 | 4.80000019073486 | 5.19999980926514 | 5.19999980926514 | 4.90000009536743
Marshall Islands | MHL | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.3000001907349 |  |  |  |  |  |  |  | 13.1999998092651 |  |  |  |  |  |  |  |  |  |  | 37.2999992370605
Middle income | MIC | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Macedonia, FYR | MKD | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 40.7999992370605 | 37.5999984741211 | 33.2999992370605 | 34.9000015258789 | 32 | 32.2999992370605 | 36.2999992370605 | 37.7999992370605 | 38.4000015258789 | 37.2000007629395 | 35.5 | 34.2000007629395 | 32.7999992370605 | 32.2000007629395 | 30.7999992370605 | 30.2999992370605
[NAME] | MLI | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.29999995231628 |  |  |  |  |  |  | 10.8999996185303
Malta | MLT | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.5 | 8 | 8.30000019073486 | 10 | 8.30000019073486 | 8.89999961853027 | 8.5 | 7.59999990463257 | 6.80000019073486 | 7.5 | 7.09999990463257 | 7.19999980926514 | 7.40000009536743
Myanmar | MMR | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.80000019073486
Middle East & North Africa (developing only) | MNA | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21.52411966264202 |  |  |  |  |  |  |  |  |  |  | 20.80518867925672 |  | 19.95537563369743 | 20.67114266557066 | 20.85675547518586 | 18.38877791430377 | 18.96108928526087
Montenegro | MNE | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 35.5 |  | 20.8999996185303 | 17.8999996185303 | 20.3999996185303 | 20.7000007629395 | 20 | 20.3999996185303
Mongolia | MNG | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.40000009536743 |  |  |  | 6.19999980926514 | 6.40000009536743 |  |  |  | 7.09999990463257 | 5.19999980926514 | 6.19999980926514 | 5.90000009536743 | 4.40000009536743
Northern Mariana Islands | MNP | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.39999961853027 | 9 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.29999995231628 |  |  | 4.30000019073486 |  | 5.80000019073486
Mozambique | MOZ | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.29999995231628
Mauritania | MRT | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 35.7999992370605 |  |  |  |  |  |  |  |  |  |  |  | 41.2000007629395 |  |  |  |  |  |  |  | 44
[NAME] | MUS | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.59999990463257 | 4.90000009536743 | 6 |  | 8.19999980926514 | 8.5 | 8.5 | 9 | 9.60000038146973 | 9.5 | 10.8999996185303 | 11.5 | 13.3000001907349 | 16.5 | 15.5 | 14.3999996185303 | 12.6000003814697 | 12.3000001907349 | 12.8000001907349 | 12.3000001907349 | 13
[NAME] | MWI | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.90000009536743 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10
Malaysia | MYS | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.59999990463257 | 4.69999980926514 | 6.19999980926514 | 6.69999980926514 | 8.10000038146973 | 8.19999980926514 | 8.19999980926514 | 6.5 | 5.40000009536743 |  | 4.19999980926514 | 4.80000019073486 |  | 3.79999995231628 | 2.59999990463257 | 2.79999995231628 | 3.29999995231628 | 3.29999995231628 | 3.09999990463257 | 3.79999995231628 | 3.79999995231628 | 3.59999990463257 | 3.79999995231628 | 3.70000004768372 | 3.40000009536743 | 3.40000009536743 | 3.70000004768372 | 3.79999995231628 | 3.59999990463257 | 3.29999995231628 | 3.20000004768372
North America | NAC | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.764653457965529 | 6.73832216582797 | 7.32318698976725 | 7.012199523375006 | 6.374807588940155 | 5.943231333502428 | 5.780631591919692 | 5.379836152051101 | 4.933578539488099 | 4.595478369474443 | 4.358024874668076 | 4.92042874537355 | 5.753475943248683 | 5.856421527784748 | 5.557706480612004 | 5.246617106906226 | 4.757539668410689 | 4.61708172043444 | 5.421337447097562 | 7.982055689845033 | 8.448271361197461 | 8.335792747227941 | 7.778961753086362
Namibia | NAM | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19 |  |  | 21.1000003814697 |  |  | 21 |  |  | 21.6000003814697 |  |  |  | 25 |  |  |  | 43 |  | 24 | 30.7999992370605 | 18.8999996185303
New Caledonia | NCL | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 22.2000007629395
[NAME] | NER | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.10000038146973 |  |  |  |  |  | 0.899999976158142
Nigeria | NGA | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.40000009536743
Nicaragua | NIC | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.59999990463257 | 6.5 | 8 | 8.30000019073486 | 11.5 | 14.6999998092651 | 19.5 |  |  |  | 19.2999992370605 | 17.1000003814697 | 14.8000001907349 | 15.1000003814697 | 12.5 | 11.1999998092651 | 7.69999980926514 |  | 8.10000038146973 | 8.10000038146973 | 6 | 5 | 5.09999990463257 | 6.90000009536743 |  | 8.80000019073486
Netherlands | NLD | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.6999998092651 |  | 12.3999996185303 |  | 14 | 12.6000003814697 | 11.8000001907349 | 10.8999996185303 | 9.89999961853027 | 7.80000019073486 | 7.69999980926514 | 8.10000038146973 | 8.69999980926514 | 8.10000038146973 | 7.09999990463257 | 5.80000019073486 | 4.90000009536743 | 3.5 | 2.5 | 2.90000009536743 | 3.79999995231628 | 5 | 5.09999990463257 | 4.40000009536743 | 3.59999990463257 | 3 | 3.5 | 4.5 | 4.40000009536743 | 5.19999980926514
High income: nonOECD | NOC | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.37217780574974 | 5.927545409557562 | 7.921376415386994 | 9.004182604376354 | 9.384338323226928 | 11.01334669665043 | 12.43125865344576 | 12.35247467876598 | 10.29902670152497 | 8.95625753838351 | 8.210425810467694 | 8.442265435967922 | 7.685161843188005 | 7.121941555404172 | 6.97949735666235 | 5.941622258493399 | 6.212530462703312 | 7.991620488422438 | 6.990542615949574 | 6.464609982195864 | 5.968932892217375
Norway | NOR | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.09999990463257 | 2.70000004768372 | 3 | 3.79999995231628 | 3.09999990463257 | 3.09999990463257 | 2.29999995231628 | 2.59999990463257 | 3.29999995231628 | 4.59999990463257 | 4.80000019073486 | 5 | 5.09999990463257 | 5.19999980926514 | 4.69999980926514 | 4.59999990463257 | 4.80000019073486 | 4 | 3.29999995231628 | 3 | 3.20000004768372 | 3.40000009536743 | 3.70000004768372 | 3.90000009536743 | 3.79999995231628 | 4.40000009536743 | 3.40000009536743 | 2.5 | 2.40000009536743 | 2.59999990463257 | 3 | 3.09999990463257 | 2.79999995231628
Nepal | NPL | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.70000004768372 |  | 10.6999998092651 |  |  |  |  |  |  | 2.40000009536743
New Zealand | NZL | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.80000019073486 | 4.30000019073486 | 5.59999990463257 | 7 | 7.30000019073486 | 9.69999980926514 | 9.69999980926514 | 8.89999961853027 | 7.80000019073486 | 6.5 | 6.30000019073486 | 6.80000019073486 | 7.59999990463257 | 6.69999980926514 | 6 | 5.40000009536743 | 5.5 | 5.09999990463257 | 4.5 | 4.09999990463257 | 4.19999980926514 | 4 | 4.19999980926514 | 6.09999990463257 | 6.80000019073486 | 6.80000019073486 | 7.30000019073486
High income: OECD | OEC | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.851304273250252 | 7.245856108199904 | 8.028231602333188 | 8.469369024574961 | 8.48208460448561 | 8.14950461502409 | 8.084103444221054 | 7.896681836877971 | 7.758261936147002 | 7.494693834752665 | 7.111499016389917 | 6.916198426594995 | 7.31770865967948 | 7.381509246587171 | 7.325469969488985 | 7.078003345287317 | 6.491823114300343 | 5.913992181589687 | 6.030767773531151 | 7.711397111642546 | 8.103083152835183 | 8.054209281950351 | 8.219335162196677
OECD members | OED | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.91139568829111 | 7.09322257141157 | 7.829967660189858 | 8.280545311563468 | 8.284922125933324 | 8.155030346360878 | 7.964619310070485 | 7.785436588787635 | 7.554602676153992 | 7.251541220017028 | 6.848750571064404 | 6.699429251094971 | 7.127114274521187 | 7.206781877145026 | 7.230903557302807 | 6.948965380082413 | 6.408574948290085 | 5.895777717596149 | 6.034678340668161 | 7.698507787294584 | 8.052311246766713 | 7.966928762302382 | 8.065228047424561
Oman | OMN | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Other small states | OSS | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Pakistan | PAK | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14 | 7.30000019073486 | 7.40000009536743 | 2 | 1.79999995231628 | 1.39999997615814 | 1.70000004768372 | 1.10000002384186 | 0.699999988079071 |  | 0.699999988079071 | 16.2999992370605 | 14 | 9.89999961853027 | 9.10000038146973 | 14 |  | 17.1000003814697 | 15 |  | 15.8000001907349 |  | 16.3999996185303 |  | 13 |  | 9.60000038146973 | 8.60000038146973 | 8.69999980926514 |  |  | 8.9 |  | 9
Panama | PAN | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.3000001907349 | 14.5 | 14.1999998092651 | 18.5 | 14.5 | 16.7000007629395 | 21.3999996185303 | 21.6000003814697 |  | 22.6000003814697 | 22.2999992370605 | 20.2000007629395 | 20.3999996185303 | 20.1000003814697 | 20.2999992370605 | 18.1000003814697 | 20.7999992370605 | 16.8999996185303 | 18 | 18.5 | 18.5 | 18.1000003814697 | 16.2999992370605 | 13.3000001907349 | 11.6999998092651 | 8.60000038146973 | 7.5 | 8.89999961853027 | 8.5 | 4.90000009536743 | 4.90000009536743
Peru | PER | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8 | 6.19999980926514 |  | 10.6999998092651 | 11.5 | 7.40000009536743 | 12.5 | 12.3999996185303 | 11.8000001907349 | 8.69999980926514 | 8 | 8.89999961853027 | 9.30000019073486 | 8.60000038146973 | 7.40000009536743 | 10.3000001907349 | 11.6000003814697 | 11.8999996185303 | 5.90000009536743 | 5.69999980926514 | 5.5 | 5.19999980926514 | 5.19999980926514 | 4.69999980926514 | 4.59999990463257 | 4.30000019073486 | 4.30000019073486
Philippines | PHL | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.5 | 8.60000038146973 | 8.60000038146973 | 6.69999980926514 | 10 | 8.10000038146973 | 8.89999961853027 | 10.8999996185303 | 9.5 | 10.3000001907349 | 9.80000019073486 | 10.5 | 9.89999961853027 | 10 | 9.39999961853027 | 9.39999961853027 | 8.19999980926514 | 8.5 | 9.5 | 9.5 | 11.5 | 11.3000001907349 | 12 | 11.8999996185303 | 12.6000003814697 | 7.80000019073486 | 7.59999990463257 | 7.09999990463257 | 7.09999990463257 | 7.40000009536743 | 6.9 | 6.59999990463257 | 6.7
Palau | PLW | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.90000009536743
[NAME] | PNG | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.90000009536743 |  |  |  |  |  |  |  |  |  | 1.29999995231628
Poland | POL | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.6999998092651 | 15.6000003814697 | 16 | 14.6999998092651 | 13.8999996185303 | 13.1999998092651 | 12.3000001907349 | 13.5 | 18.1000003814697 | 19.8999996185303 | 20.8999996185303 | 20.3999996185303 | 19.8999996185303 | 19.1000003814697 | 14.8999996185303 | 10.3000001907349 | 7.90000009536743 | 8.69999980926514 | 10 | 10.3999996185303 | 10.8999996185303
Puerto Rico | PRI | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.3000001907349 | 14.6000003814697 | 15.5 | 16.7000007629395 | 15.1999998092651 | 15.5 | 14 | 13.1000003814697 | 11.1999998092651 | 10.8000001907349 | 11 | 13.6000003814697 | 13.3000001907349 | 13.3000001907349 | 11.5 | 10.8000001907349 | 11.6000003814697 | 12.1999998092651 | 12 | 9.5 | 7.5 | 9.10000038146973 | 10.6000003814697 | 10.8000001907349 | 8.60000038146973 | 10.1000003814697 | 10.3999996185303 | 9.5 | 9.80000019073486 | 12.5 | 12.6999998092651 | 12.8000001907349 | 12
Korea, Dem. Rep. | PRK | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Portugal | PRT | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.1000003814697 | 12.8999996185303 | 11.8999996185303 | 11.5 | 11.3000001907349 | 11.5 | 10.6999998092651 | 8.89999961853027 | 7.69999980926514 | 6.90000009536743 | 6.30000019073486 | 5.59999990463257 | 4.80000019073486 | 6.30000019073486 | 7.59999990463257 | 7.80000019073486 | 7.80000019073486 | 7.19999980926514 | 6.19999980926514 | 5 | 4.90000009536743 | 5 | 6 | 7.19999980926514 | 7.59999990463257 | 8.69999980926514 | 9 | 9.60000038146973 | 8.80000019073486 | 10.1000003814697 | 11.8999996185303 | 13.1000003814697 | 15.6000003814697
Paraguay | PRY | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.80000019073486 |  | 5.90000009536743 | 5.90000009536743 | 4.80000019073486 | 5.09999990463257 | 5.80000019073486 | 4.30000019073486 | 4.59999990463257 | 5.59999990463257 | 6.30000019073486 | 4.69999980926514 | 3.70000004768372 | 4.40000009536743 | 3.70000004768372 | 3.70000004768372 |  | 6.69999980926514 | 6.69999980926514 | 7.5 | 8.89999961853027 | 8.89999961853027 | 13.6000003814697 | 10 | 9.5 | 7.19999980926514 | 8.80000019073486 | 7.59999990463257 | 7.5 | 7.90000009536743 | 7.30000019073486 | 5.5 | 6.09999990463257
Pacific island small states | PSS | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
French Polynesia | PYF | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.1000003814697 |  |  |  |  |  |  |  | 21.8999996185303 |  |  |  |  |  | 19.1000003814697 |  |  |  |  | 12.8000001907349
Qatar | QAT | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.5 |  |  |  | 12.6000003814697 |  |  | 3.90000009536743 |  | 3.5 | 2.59999990463257 | 1.70000004768372 | 1.89999997615814 |  | 3.29999995231628 | 2.79999995231628
Romania | [NAME] | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.69999980926514 | 8.60000038146973 | 7.30000019073486 | 5.90000009536743 | 5.5 | 5.5 | 6.40000009536743 | 6 | 7.59999990463257 | 6.40000009536743 | 6.19999980926514 | 6.40000009536743 | 6.09999990463257 | 5.40000009536743 | 4.69999980926514 | 5.80000019073486 | 6.5 | 6.80000019073486 | 6.40000009536743
Russian Federation | RUS | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.19999980926514 | 5.80000019073486 | 8 | 9.19999980926514 | 9.30000019073486 | 11.3999996185303 | 13 | 12.8999996185303 | 10.3999996185303 | 8.60000038146973 | 7.59999990463257 | 8 | 7.5 | 6.90000009536743 | 6.69999980926514 | 5.59999990463257 | 5.90000009536743 | 7.69999980926514 | 6.80000019073486 | 6 | 5.09999990463257
Rwanda | RWA | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.600000023841858 |  | 0.200000002980232 |  |  |  |  | 0.400000005960464
South Asia | SAS | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.451691497094011 | 2.533914445021157 | 1.744332342401476 | 3.388021163752126 | 4.591428796833553 |  | 4.722111763526094 |  |  |  |  | 5.434811302722118 |  |  |  |  | 4.378132954581699 |  | 4.046082264585968
Saudi Arabia | SAU | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.90000009536743 |  |  |  |  |  |  | 8.10000038146973 | 9.30000019073486 | 9.10000038146973 | 11.5 |  |  |  | 14.6999998092651 | 14.1999998092651 | 13.8000001907349 | 15.8999996185303 |  | 12.6999998092651 | 18.6000003814697
[NAME] | SCE | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Sudan | SDN | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19.2999992370605
Senegal | SEN | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.6000003814697
Singapore | SGP | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.40000009536743 | 3.40000009536743 | 2.79999995231628 | 3.20000004768372 | 2.79999995231628 | 4.40000009536743 | 5.80000019073486 | 4.30000019073486 | 2.79999995231628 | 2 |  |  | 2.5 | 2 | 2.09999990463257 | 2.09999990463257 | 2 | 1.89999997615814 | 3.40000009536743 | 3.79999995231628 | 3.5 | 3.40000009536743 | 4.80000019073486 | 5.30000019073486 | 4.40000009536743 | 4.5 | 3.70000004768372 | 3.09999990463257 | 3.5 | 4.69999980926514 | 3.40000009536743 | 3.20000004768372 | 3.09999990463257
Solomon Islands | SLB | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 33.7000007629395
Sierra Leone | SLE | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.29999995231628
El Salvador | SLV | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 17.5 |  |  |  |  | 24.2999992370605 | 8.5 |  | 7.09999990463257 | 6.80000019073486 | 9.80000019073486 | 6.59999990463257 | 7.19999980926514 | 6.90000009536743 | 6.40000009536743 | 5.90000009536743 | 6.5 | 5.30000019073486 | 6 | 4.59999990463257 | 3.70000004768372 | 5.19999980926514 | 3.5 | 3.5 | 3.79999995231628 | 4.80000019073486 | 3.90000009536743 | 3.70000004768372 | 3.59999990463257 | 4.90000009536743 | 5.09999990463257 | 4.40000009536743 | 4.30000019073486
[NAME] | SMR | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.8999996185303 | 11.3999996185303 | 10.3000001907349 | 9.80000019073486 | 8.89999961853027 | 9 | 6.30000019073486 | 6.30000019073486 | 7.19999980926514 |  | 5.90000009536743 | 6.80000019073486 | 5.59999990463257 | 5.80000019073486 |  |  |  |  |  |  |  | 5.09999990463257 | 4.5
Somalia | SOM | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Serbia | SRB | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 22.8999996185303 | 26.2000007629395 | 24.7000007629395 | 21 | 15.8000001907349 | 18.3999996185303 | 20.2000007629395 | 23.7000007629395 | 24.8999996185303
Sub-Saharan Africa (developing only) | SSA | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
South Sudan | SSD | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Sub-Saharan Africa (all income levels) | SSF | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Small states | SST | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Sao Tome and Principe | STP | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.699999988079071 | 0.800000011920929 | 0.699999988079071 | 0.600000023841858 | 0.5 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 17.7999992370605 |  |  |  |  |  | 24.5
Suriname | SUR | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 26.2000007629395 |  | 19.7000007629395 | 20.1000003814697 |  | 23.1000003814697 | 19.2000007629395 | 15 | 10.8999996185303 | 16.3999996185303 | 16 | 17 | 20.3999996185303 |  |  |  |  | 13.6999998092651
Slovak Republic | SVK | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.8000001907349 | 14.1000003814697 | 13.8000001907349 | 12.6999998092651 | 12.8000001907349 | 13.1999998092651 | 16.3999996185303 | 18.6000003814697 | 18.7000007629395 | 18.7000007629395 | 17.7000007629395 | 19.1000003814697 | 17.2000007629395 | 14.6999998092651 | 12.5 | 11 | 12.8999996185303 | 14.6000003814697 | 13.5 | 14.5
Slovenia | SVN | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6 |  | 6.59999990463257 | 6.90000009536743 | 6.80000019073486 | 6.69999980926514 | 7 | 7.5 | 7.5 | 7.09999990463257 | 6 | 6.80000019073486 | 7.09999990463257 | 6.80000019073486 | 7 | 7.19999980926514 | 5.80000019073486 | 4.80000019073486 | 5.80000019073486 | 7 | 8.19999980926514 | 9.39999961853027
Sweden | SWE | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.59999990463257 | 3 | 3.79999995231628 | 4.09999990463257 | 3.70000004768372 | 3.09999990463257 | 2.90000009536743 | 2.29999995231628 | 1.89999997615814 | 1.60000002384186 | 1.79999995231628 | 2.90000009536743 | 4.59999990463257 | 7.59999990463257 | 8.10000038146973 | 8.19999980926514 | 9.39999961853027 | 9.60000038146973 | 7.90000009536743 | 6.69999980926514 | 5.40000009536743 | 4.69999980926514 | 4.69999980926514 | 5.19999980926514 | 6.19999980926514 | 7.59999990463257 | 7.09999990463257 | 6.5 | 6.59999990463257 | 8 | 8.5 | 7.69999980926514 | 7.69999980926514
Swaziland | SWZ | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 23.2000007629395 |  | 26
Sint Maarten (Dutch part) | SXM | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Seychelles | SYC | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 20.5 |  |  |  | 28 |  |  |  |  |  |  |  |  | 12.5 |  |  |  |  |  |  |  |  |  |  | 4.90000009536743
Syrian Arab Republic | SYR | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.30000019073486 | 8.19999980926514 |  |  |  |  | 9.80000019073486 |  | 14 |  | 6.40000009536743 | 12.5 | 14.1999998092651 |  | 29.2999992370605 |  | 15.1999998092651 | 5 | 25.5 | 24.1000003814697 | 20.8999996185303 |  |  | 23.7999992370605 | 25.7000007629395 | 24.2000007629395 | 22.2999992370605 | 22.5
Turks and Caicos Islands | TCA | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Chad | TCD | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.300000011920929
Togo | TGO | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Thailand | THA | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.800000011920929 | 1.10000002384186 | 2.90000009536743 | 3.29999995231628 | 5.90000009536743 | 4.40000009536743 | 3.90000009536743 | 7.5 | 3.5 | 1.60000002384186 | 2.40000009536743 | 3.5 | 1.5 | 1.79999995231628 | 1.60000002384186 |  | 1.10000002384186 | 0.899999976158142 | 3.40000009536743 | 2.90000009536743 | 2.29999995231628 | 2.5 | 1.60000002384186 | 1.39999997615814 | 1.39999997615814 | 1.20000004768372 | 1.10000002384186 | 1.10000002384186 | 1 | 1.39999997615814 | 1 | 0.600000023841858 | 0.600000023841858
Tajikistan | TJK | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.5
Turkmenistan | TKM | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Timor-Leste | TLS | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.6999998092651 |  |  |  |  |  | 9.19999980926514 |  |  | 5.40000009536743
Tonga | TON | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.40000009536743
Trinidad and Tobago | TTO | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14 | 14.6000003814697 | 13.8000001907349 | 15.3999996185303 | 16 | 17 | 19 | 32.0999984741211 | 23.6000003814697 | 24.5 | 24.2000007629395 | 23.5 | 23.8999996185303 | 23.5 | 22.2999992370605 | 20.6000003814697 | 21 | 19.3999996185303 | 18.7999992370605 | 16.7999992370605 | 15.1000003814697 | 14.3999996185303 | 14.5 | 13.8000001907349 | 11.1999998092651 | 11 | 8.69999980926514 | 7.90000009536743 | 6.19999980926514
Tunisia | TUN | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21.7000007629395 |  |  |  |  |  |  |  | 17.2999992370605 |  | 17.2000007629395 | 16.8999996185303 | 16.2000007629395 | 16.2999992370605 | 16.2000007629395 | 17.1000003814697 | 17.2999992370605 | 15.1000003814697 | 15.3000001907349 | 15.8999996185303 | 18.7999992370605 | 18.8999996185303 | 27.3999996185303
Turkey | TUR | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.1000003814697 |  |  | 10.6000003814697 | 9.5 | 8.5 | 7.09999990463257 | 7.80000019073486 | 9.39999961853027 | 8.10000038146973 | 7.30000019073486 | 6 | 7.80000019073486 | 6.80000019073486 | 7.59999990463257 | 6.30000019073486 | 7.5 | 9.5 | 10.1000003814697 | 11 | 11.1999998092651 | 11.1000003814697 | 11 | 11.6000003814697 | 14.3000001907349 | 13 | 11.3000001907349 | 10.8000001907349
Tuvalu | TUV | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.60000038146973 |  |  | 8.60000038146973
Tanzania | TZA | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.30000019073486 |  |  |  |  |  |  |  |  |  | 5.80000019073486 | 2.40000009536743 |  |  |  | 5.80000019073486 |  |  | 2.70000004768372 |  | 4.19999980926514
Uganda | UGA | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.600000023841858 |  |  |  |  |  |  |  |  |  |  | 4.09999990463257 | 3.90000009536743 |  | 2.20000004768372 |  |  |  | 5.09999990463257
Ukraine | UKR | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.90000009536743 | 7.30000019073486 | 8.39999961853027 | 10.8000001907349 | 11.3000001907349 | 11.6000003814697 | 10.8000001907349 | 9.5 | 8.69999980926514 | 8.30000019073486 | 6.80000019073486 | 6.59999990463257 | 6 | 6.09999990463257 | 7.30000019073486 | 6.80000019073486 | 6.80000019073486 | 6.40000009536743
Upper middle income | UMC | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Uruguay | URY | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9 | 15.5 | 20.5 | 18.3999996185303 | 16.8999996185303 | 13.8999996185303 | 12.6000003814697 | 11.8999996185303 | 10.8000001907349 | 10.8999996185303 | 11.6000003814697 | 11.8000001907349 | 10.8999996185303 | 12.1000003814697 | 13.1999998092651 |  |  | 12.8999996185303 | 14.6000003814697 | 17 | 19.7000007629395 | 21.2000007629395 | 20.7999992370605 |  | 15.3000001907349 | 14.1000003814697 | 12.3999996185303 | 10.1000003814697 | 10.3571295476111 | 9.39999961853027 | 8.10000038146973 | 8.30000019073486
United States | USA | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.40000009536743 | 7.90000009536743 | 9.39999961853027 | 9.19999980926514 | 7.59999990463257 | 7.40000009536743 | 7.09999990463257 | 6.19999980926514 | 5.59999990463257 | 5.40000009536743 | 5.5 | 6.40000009536743 | 7 | 6.59999990463257 | 6 | 5.59999990463257 | 5.40000009536743 | 5 | 4.59999990463257 | 4.30000019073486 | 4.09999990463257 | 4.69999980926514 | 5.59999990463257 | 5.69999980926514 | 5.40000009536743 | 5.09999990463257 | 4.59999990463257 | 4.5 | 5.40000009536743 | 8.10000038146973 | 8.60000038146973 | 8.5 | 7.90000009536743
Uzbekistan | UZB | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
St. Vincent and the Grenadines | VCT | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 24.5 |  |  |  |  |  |  |  |  |  |  | 22.1000003814697 |  |  |  |  |  |  |  |  |  | 18.6000003814697
Venezuela, RB | VEN | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.5 | 5.69999980926514 | 5.90000009536743 | 8.80000019073486 | 10.1999998092651 | 11.8999996185303 | 9.89999961853027 | 7.09999990463257 | 6 | 9 | 10 | 9.19999980926514 | 6.80000019073486 | 5.59999990463257 | 9.69999980926514 | 12.8000001907349 | 16.2000007629395 | 13.6000003814697 | 12.6999998092651 | 16.1000003814697 | 14.3999996185303 | 14.6000003814697 | 18.7999992370605 | 20.2999992370605 | 17.6000003814697 | 13 | 11.1000003814697 | 8.10000038146973 | 7.40000009536743 | 8.5 | 9.19999980926514 | 9.30000019073486 | 9
Virgin Islands (U.S.) | VIR | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Vietnam | VNM | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.70000004768372 | 2.5 | 2.20000004768372 | 2.40000009536743 | 2.09999990463257 | 3.29999995231628 | 2.29999995231628 | 2.59999990463257 | 2.40000009536743 |  |  |  |  |  |  | 2.40000009536743 | 2
[NAME] | VUT | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.19999980926514
West Bank and Gaza | PSE | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19.6000003814697 | 20.1000003814697 | 15.1999998092651 | 13 | 12.3000001907349 | 13.8000001907349 | 16.7000007629395 |  | 20.1000003814697 |  | 20.5 | 19 | 23.7999992370605 | 26.3999996185303 | 26.7999992370605 | 28.3999996185303 | 32.9000015258789
World | WLD | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Samoa | WSM | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.19999980926514 |  |  |  |  | 1.60000002384186 |  |  |  |  | 6.80000019073486
Yemen, Rep. | YEM | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.90000009536743 |  |  |  |  | 8.19999980926514 |  |  |  |  | 39.5999984741211 | 46.2999992370605 | 42.2000007629395 | 41.5 | 40.9000015258789 | 40.2000007629395 | 54.7000007629395
South Africa | ZAF | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 23.5 | 20 | 25.3999996185303 | 27.6000003814697 | 30 | 30.2999992370605 | 28.7000007629395 | 27.8999996185303 | 31.2999992370605 | 31.1000003814697 | 28.7000007629395 | 28.2000007629395 | 27.1000003814697 | 26.3999996185303 | 26.2999992370605 | 26 | 27.2999992370605 | 27.7000007629395 | 27.7000007629395
Congo, Dem. Rep. | COD | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS
Zambia | ZMB | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 17.7999992370605 |  |  |  | 13.6999998092651 | 22.3999996185303 |  | 20.6000003814697 |  |  | 15.8999996185303 |  | 12 |  | 11.3000001907349
Zimbabwe | ZWE | Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.1000003814697 |  |  |  |  | 7.90000009536743 |  |  |  |  |  |  | 3 |  |  | 5.09999990463257 |  | 4.59999990463257 |  |  |  |  | 4.09999990463257