Spreadsheet: 7ba0db61-887f-41ef-b86d-01f93acbaf9e
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) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.30000019073486 |  |  | 8.30000019073486 |  |  | 8.39999961853027 |  |  | 7.40000009536743 | 7.40000009536743 |  |  |  |  |  | 6.5
Andorra | AND | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS
Afghanistan | AFG | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9.5
Angola | AGO | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS
Albania | ALB | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 28.3999996185303 |  |  |  |  |  | 12.1999998092651 | 13.5 | 15.8999996185303 | 15.8999996185303
Arab World | ARB | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 17.43062629532122 |  |  |  | 19.62234833115548 |  | 18.87987250591102 | 17.46937323186601 | 18.11092174731042 | 18.58037014012855
United Arab Emirates | ARE | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.40000009536743 |  |  |  |  | 2.59999990463257 |  |  |  |  | 7.09999990463257 |  |  | 12 | 10.8000001907349
Argentina | ARG | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 34.4000015258789 |  |  |  | 40.2000007629395 |  |  |  |  |  | 35 | 18.6000003814697 | 19.7999992370605 | 21.2000007629395 | 19.6000003814697
American Samoa | ASM | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.70000004768372 |  |  |  |  |  |  |  |  |  | 6
[NAME] and [NAME] | ATG | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.80000019073486
Australia | AUS | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.300000011920929
Belgium | BEL | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.100000001490116 |  |  |  |  |  | 0.600000023841858 |  |  |  |  |  |  |  |  |  | 0.400000005960464
[NAME] | BFA | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.600000023841858 |  |  |  |  |  |  |  |  |  |  |  |  | 2.59999990463257 |  |  |  |  |  |  |  | 1.70000004768372
Bangladesh | BGD | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.8000001907349 |  |  |  |  |  |  |  |  |  | 10.5 |  |  | 20 |  |  |  |  |  | 3.70000004768372
Bahamas, The | BHS | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21.6000003814697 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 35.7000007629395 | 33.7000007629395 | 27.1000003814697 | 25.7000007629395 | 30 | 29.8999996185303 | 30.7999992370605
Belarus | BLR | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.59999990463257
Belize | BLZ | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.30000019073486 |  |  |  |  |  |  |  |  | 2.29999995231628
Bolivia | BOL | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.69999980926514
Bhutan | BTN | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS
Central African Republic | CAF | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS
Canada | CAN | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS
Europe and Central Asia (IFC classification) | CEU | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS
Switzerland | CHE | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS
Chile | CHL | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS
Cote d'Ivoire | CIV | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS
Latin America and the Caribbean (IFC classification) | CLA | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS
Middle East and North Africa (IFC classification) | CME | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS
Cameroon | CMR | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.5 |  |  |  |  | 6.69999980926514 |  |  |  | 4.59999990463257 |  | 3.29999995231628 |  |  | 4.5
Congo, Rep. | COG | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS
Colombia | COL | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 16.8999996185303
Cabo Verde | CPV | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 22.6000003814697
Costa Rica | CRI | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS
Caribbean small states | CSS | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 22.87108450903549 | 21.20781349520249 | 21.76326614688268 | 22.12486563694431 | 21.38320177176803 | 20.69928095989109 | 21.11961376641474 | 20.96749469065359 | 19.95672455879795 | 19.42449466801701 |  | 17.41489502547677 | 16.93819471498055 | 15.67955993409088 | 14.07593705053868 | 13.88281008029357 | 11.58063665899138 | 11.93467789513128 | 11.71659951986816
Cuba | CUB | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS
Cayman Islands | CYM | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.1999998092651 |  |  |  |  |  | 5.09999990463257 |  |  |  |  |  |  |  |  | 2.79999995231628 | 4.19999980926514 | 4.09999990463257
Cyprus | CYP | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46.7000007629395 |  |  |  |  |  |  |  |  |  |  | 68.5999984741211
Dominica | DMA | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 18.2999992370605 |  | 9.80000019073486 |  |  |  |  |  | 27.2999992370605 |  | 19.5 |  | 9.5
Denmark | DNK | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS
East Asia & Pacific (all income levels) | EAS | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS
Europe & Central Asia (developing only) | ECA | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9.905155184900336 | 9.618658005443123 | 10.70634912848823 | 9.91852011847843 | 9.258177348636453 | 9.029908484158494 | 8.580363560361095 | 8.711607446884877 | 8.67665938019921 | 8.368857992402024 | 9.34937638608672 | 9.497228067049688 | 8.988674020338673 | 8.589461435641073
Europe & Central Asia (all income levels) | ECS | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9.115772269219311 | 10.28183949515004 | 11.04420123619641 | 10.51896469514994 | 10.63162961006464 | 11.23186066003113 | 11.25659721795085 | 11.13078230011359 | 10.27040611604189 | 9.575434106759316 | 9.280911351547136 | 9.2487100992719 | 9.230301630489347 | 8.873846650130314 | 8.3966449184277 | 7.514133380505733 | 7.285315906079612 | 8.695194761360108 | 8.90703138999504 | 8.696662545361754 | 8.92854683419552
Ecuador | ECU | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.43665540005293 | 11.2950674032268 | 11.75242148316919 | 12.99391446402419 | 13.8532764014556 | 13.67930833089048 | 13.72373453946564 | 13.68505118657909 | 13.13546890914316 | 12.29728533731454 | 11.10392725881473 | 9.646463109594078 | 9.830037307213752 | 9.92533043120071 | 10.30163089065086 | 10.07269746835434 | 9.422941807091691 | 8.454472911708889 | 8.216898040115318 | 9.56939069069028 | 10.12676628751348 | 10.22348639612723 | 11.33686581599595
Eritrea | ERI | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS
Spain | ESP | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.39999997615814 |  |  |  |  |  |  | 1.60000002384186 |  |  | 3.29999995231628 |  |  |  |  | 12.6000003814697 |  |  |  |  | 31.2000007629395 | 8.19999980926514 | 22.6000003814697
European Union | EUU | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.09107999286218 | 11.06705876746014 | 12.24328795595394 | 12.50179449724307 | 12.10080649530464 | 11.96590133544273 | 11.67302319168572 | 11.15170114592037 | 10.77570245537566 | 10.41385880244578 | 9.571448225781891 | 9.798617727479577 | 9.691749707065043 | 9.88211401393141 | 9.65738219559268 | 8.90700295837018 | 7.809883469766649 | 7.397454396903625 | 8.811508435889387 | 9.49163935152611 | 9.626297025406654 | 10.41848313445687
Finland | FIN | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.1000003814697 |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.80000019073486 |  |  |  |  |  |  |  | 6 | 5.90000009536743 |  | 12.8999996185303
France | FRA | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.90000009536743
Micronesia, Fed. [NAME]. | FSM | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS
Gabon | GAB | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 16.1000003814697
United Kingdom | GBR | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.5 |  |  |  |  |  |  | 10.6999998092651 | 10.6999998092651 |  |  |  |  |  | 3.59999990463257 |  |  |  | 4.40000009536743
Guinea | GIN | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.70000004768372
Gambia, The | GMB | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS
Guinea-Bissau | GNB | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS
Equatorial Guinea | GNQ | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 18.5
Greece | GRC | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 37 |  | 24.8999996185303 |  | 21.7999992370605 |  |  | 10.8999996185303
Greenland | GRL | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 23.8999996185303 |  |  |  |  | 15.3000001907349
High income | HIC | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.917517099660646 | 7.313478797871684 | 7.56922096971086 | 8.052174685481328 | 8.392427762492462 | 8.287142760603126 | 8.289712768282621 | 8.371568409407264 | 8.464446642615343 | 8.280438869795042 | 7.616999279852918 | 7.219741327617432 | 7.435889172290504 | 7.532569657844606 | 7.36977010184758 | 7.074657873129065 | 6.562670273355449 | 5.906632233176877 | 6.046384262664692 | 7.729789449495915 | 7.906359175560858 | 7.769308841272246 | 7.831343405617608
Hong Kong SAR, China | HKG | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS
Croatia | HRV | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.6000003814697 | 13.5 |  |  |  |  | 30.8999996185303 |  | 13.8000001907349 |  |  |  |  |  |  |  |  | 8.30000019073486
Hungary | HUN | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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
Isle of Man | IMN | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.29999995231628 |  |  |  |  | 2.59999990463257 |  |  |  |  | 1.5 |  |  |  |  | 2
India | IND | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS
Ireland | IRL | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 16 | 15 | 14.1999998092651 | 22.5 |  | 19.6000003814697
Iceland | ISL | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS
Kyrgyz Republic | KGZ | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.3000001907349 | 10.5 | 9.30000019073486 | 9.10000038146973 | 9 | 9 | 9.39999961853027
Cambodia | KHM | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.20000004768372 |  | 2.79999995231628 | 2 |  |  |  |  |  |  | 1.79999995231628 | 0.100000001490116 | 0.300000011920929 | 0.100000001490116 | 0.200000002980232
Kiribati | KIR | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS
St. Kitts and Nevis | KNA | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.90000009536743
Korea, Rep. | KOR | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.897639106976801 |  | 8.352812306021631 | 8.389203271580222 |  | 9.816540753299591 | 10.57553763052947 | 10.53361283175266 | 11.14289825409404 | 11.53476524302507 |  | 11.38092942309766 | 11.6528334322616 | 12.16381238358191 | 10.98298479137233 | 10.47061735806069 | 9.552020841126838 | 9.03576994151543 | 8.385940445464481 | 9.326315381881262 |  | 8.411385548665018
Lao PDR | LAO | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.59999990463257 |  |  |  |  |  |  |  |  |  | 1.39999997615814
Lebanon | LBN | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9.5 |  |  | 10.1000003814697 |  | 10.3000001907349
Liberia | LBR | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.19999980926514 |  |  | 4.09999990463257
Libya | LBY | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS
St. Lucia | LCA | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.023292932456381 |  | 8.409534263165577 | 8.426218455355222 |  | 9.782770119060464 | 10.55587066839334 | 10.50650149107843 | 11.09953872898906 | 11.53720328721254 |  | 11.3992721924858 | 11.67920055733263 | 12.16655957438329 | 10.95796286135843 | 10.48867789633475 | 9.580759104245205 | 9.047661316741559 | 8.430616345599482 | 9.384756284751479 |  | 8.446292711164268
Least developed countries: UN classification | LDC | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS
Low income | LIC | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS
[NAME] | LIE | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS
[NAME] | LKA | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.46280439674433 | 4.72589949564735 | 4.091683240139247 | 5.206359738697563 | 6.049741699489091 |  | 6.370859556257254 |  |  |  |  | 7.781095747596511
Low & middle income | LMY | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS
[NAME] | LSO | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.80000019073486 |  |  |  |  |  |  |  |  |  |  | 47.0999984741211 |  | 33.0999984741211 |  |  |  |  |  |  |  |  | 28
Lithuania | LTU | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS
Morocco | MAR | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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
Monaco | MCO | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.19999980926514
Moldova | MDA | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.69999980926514 | 5.40000009536743 |  | 6.19999980926514 |  | 3.5
Maldives | MDV | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.29999995231628 |  |  |  |  | 2.70000004768372 |  |  |  |  |  | 23.7999992370605
Middle East & North Africa (all income levels) | MEA | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21.17886796027077 |  |  |  |  |  |  |  |  |  |  | 18.56349855133874 |  | 18.68402502265416 | 18.79812241187075 | 18.15875874410371 | 16.60074944918227 | 16.83142142580297 | 17.79133919080549
Mexico | MEX | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.3000001907349 |  |  |  |  |  |  |  | 13.1999998092651 |  |  |  |  |  |  |  |  |  |  | 37.2999992370605
Middle income | MIC | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS
Macedonia, FYR | MKD | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.29999995231628 |  |  |  |  |  |  | 10.8999996185303
Malta | MLT | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.80000019073486
Middle East & North Africa (developing only) | MNA | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21.76519029821669 |  |  |  |  |  |  |  |  |  |  | 19.72508055877287 |  | 19.24402253658085 | 19.90459641849163 | 19.60809126751442 | 17.60997047979795 | 18.12556776669091
Montenegro | MNE | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 35.5 |  | 20.8999996185303 | 17.8999996185303 | 20.3999996185303 | 20.7000007629395 | 20 | 20.3999996185303
Mongolia | MNG | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.39999961853027 | 9 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.29999995231628 |  |  | 4.30000019073486 |  | 5.80000019073486
Mozambique | MOZ | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.29999995231628
Mauritania | MRT | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 35.7999992370605 |  |  |  |  |  |  |  |  |  |  |  | 41.2000007629395 |  |  |  |  |  |  |  | 44
[NAME] | MUS | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.90000009536743 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10
Malaysia | MYS | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.764653470043156 | 6.738322187840995 | 7.3231869918951 | 7.012199499891291 | 6.374807560301424 | 5.943231326204211 | 5.780631583079646 | 5.379836155773763 | 4.93357854465837 | 4.595478365456558 | 4.35802485726459 | 4.920428754899816 | 5.75347595130923 | 5.856421551133424 | 5.557706483921949 | 5.246617103215046 | 4.757563769733711 | 4.617207646987157 | 5.421378653705425 | 7.981747844033535 | 8.447789059069128 | 8.335194271242761 | 7.778584708280175
Namibia | NAM | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19 |  |  | 21.1000003814697 |  |  | 21 |  |  | 21.6000003814697 |  |  |  | 25 |  |  |  | 43 |  | 24 | 30.7999992370605 | 18.8999996185303
New Caledonia | NCL | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 22.2000007629395
[NAME] | NER | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.10000038146973 |  |  |  |  |  | 0.899999976158142
Nigeria | NGA | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.40000009536743
Nicaragua | NIC | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.372177791610201 | 5.927545168205776 | 7.921376258924949 | 9.004182335763824 | 9.384545818687277 | 11.01196799929344 | 12.42874200005228 | 12.34966447599057 | 10.29894671420107 | 8.956856002479302 | 8.211973487748022 | 8.44398780465713 | 7.687112621908848 | 7.1229739921887 | 6.978203433115673 | 5.940328119474122 | 6.212380631666981 | 7.959544333952781 | 7.0053909553993 | 6.464760896730597 | 5.966991722929203
Norway | NOR | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.70000004768372 |  | 10.6999998092651 |  |  |  |  |  |  | 2.40000009536743
New Zealand | NZL | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.908731606504547 | 7.278788503027655 | 8.026012316458871 | 8.461556719483546 | 8.479155183668412 | 8.155250127889333 | 8.084264080811653 | 7.888941917974875 | 7.73956332515289 | 7.470833344736897 | 7.081919943550632 | 6.878855233418585 | 7.281745999313546 | 7.353977174836213 | 7.308263278958256 | 7.065046213215525 | 6.478536236558862 | 5.899792314928771 | 6.012653573094153 | 7.684100477136535 | 8.077485508220253 | 8.026940864665896 | 8.194289290128872
OECD members | OED | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.965936874365892 | 7.125284973581004 | 7.830019548101735 | 8.275294744831012 | 8.284140308906215 | 8.160199494316602 | 7.965862202190428 | 7.779398534599432 | 7.539431583950721 | 7.231966194066739 | 6.824043361843763 | 6.667210190249981 | 7.095972192616774 | 7.183070271757158 | 7.21599126997877 | 6.938113529445823 | 6.397131617335319 | 5.883116597925691 | 6.01839927577211 | 7.674117463914428 | 8.029771130251518 | 7.94316005798985 | 8.044180967261076
Oman | OMN | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS
Other small states | OSS | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS
Pakistan | PAK | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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
Panama | PAN | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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 |  | 6.59999990463257
Palau | PLW | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.90000009536743
[NAME] | PNG | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.90000009536743 |  |  |  |  |  |  |  |  |  | 1.29999995231628
Poland | POL | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS
Portugal | PRT | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS
French Polynesia | PYF | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.1000003814697 |  |  |  |  |  |  |  | 21.8999996185303 |  |  |  |  |  | 19.1000003814697 |  |  |  |  | 12.8000001907349
Qatar | QAT | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.600000023841858 |  | 0.200000002980232 |  |  |  |  | 0.400000005960464
South Asia | SAS | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.451691497284648 | 2.533914518454588 | 1.744332372955268 | 3.38802109259296 | 4.591428900887214 |  | 4.722111823865953 |  |  |  |  | 5.434811298439722 |  |  |  |  | 4.378132953743217 |  | 4.046082276381401
Saudi Arabia | SAU | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.90000009536743 |  |  |  |  |  |  | 8.10000038146973 | 9.30000019073486 | 9.10000038146973 | 11.5 |  |  |  | 14.6999998092651 | 14.1999998092651 | 13.8000001907349 | 15.8999996185303 |  | 12.6999998092651 | 18.6000003814697
Sudan | SDN | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19.2999992370605
Senegal | SEN | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.6000003814697
Singapore | SGP | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 33.7000007629395
Sierra Leone | SLE | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.29999995231628
El Salvador | SLV | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS
Serbia | SRB | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS
South Sudan | SSD | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS
Sub-Saharan Africa (all income levels) | SSF | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS
Small states | SST | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS
Sao Tome and Principe | STP | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.699999988079071 | 0.800000011920929 | 0.699999988079071 | 0.600000023841858 | 0.5 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 17.7999992370605 |  |  |  |  |  | 24.5
Suriname | SUR | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 23.2000007629395 |  | 26
Sint Maarten (Dutch part) | SXM | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS
Seychelles | SYC | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 20.5 |  |  |  | 28 |  |  |  |  |  |  |  |  | 12.5 |  |  |  |  |  |  |  |  |  |  | 4.90000009536743
Syrian Arab Republic | SYR | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS
Chad | TCD | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.300000011920929
Togo | TGO | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS
Thailand | THA | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.5
Turkmenistan | TKM | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS
Timor-Leste | TLS | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.6999998092651 |  |  |  |  |  | 9.19999980926514 |  |  | 5.40000009536743
Tonga | TON | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.40000009536743
Trinidad and Tobago | TTO | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.60000038146973 |  |  | 8.60000038146973
Tanzania | TZA | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.30000019073486 |  |  |  |  |  |  |  |  |  | 5.80000019073486 | 2.40000009536743 |  |  |  | 5.80000019073486 |  |  | 2.70000004768372 |  | 4.19999980926514
Uganda | UGA | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.600000023841858 |  |  |  |  |  |  |  |  |  |  | 4.09999990463257 | 3.90000009536743 |  | 2.20000004768372 |  |  |  | 5.09999990463257
Ukraine | UKR | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS
Uruguay | URY | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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 |  | 9.39999961853027 | 8.10000038146973 | 8.30000019073486
United States | USA | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS
St. Vincent and the Grenadines | VCT | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 24.5 |  |  |  |  |  |  |  |  |  |  | 22.1000003814697 |  |  |  |  |  |  |  |  |  | 18.6000003814697
Venezuela, RB | VEN | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS
Vietnam | VNM | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.19999980926514
West Bank and Gaza | PSE | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS
Samoa | WSM | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.19999980926514 |  |  |  |  | 1.60000002384186 |  |  |  |  | 6.80000019073486
Yemen, Rep. | YEM | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.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) | SL.UEM.TOTL.FE.ZS
Zambia | ZMB | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 17.7999992370605 |  |  |  | 13.6999998092651 | 22.3999996185303 |  | 20.6000003814697 |  |  | 15.8999996185303 |  | 12 |  | 11.3000001907349
Zimbabwe | ZWE | Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.1000003814697 |  |  |  |  | 7.90000009536743 |  |  |  |  |  |  | 3 |  |  | 5.09999990463257 |  | 4.59999990463257 |  |  |  |  | 4.09999990463257