Spreadsheet: 12cff5ab-64b7-420e-a0a9-b3668f9cd933
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 | 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 | 2014
Aruba | ABW | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.8999996185303 |  |  | 8.89999961853027 |  |  | 16.7000007629395 |  |  |  |  |  |  |  |  |  | 23.5
Andorra | AND | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Afghanistan | AFG | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Angola | AGO | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Albania | ALB | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.5999984741211 |  |  |  |  |  | 22.7999992370605 | 25.5 | 21.6000003814697 | 23.7999992370605
Andean Region | ANR | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Arab World | ARB | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
United Arab Emirates | ARE | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.40000009536743 |  |  |  |  |  |  |  |  |  | 6.5 |  |  | 7.90000009536743
Argentina | ARG | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.5 | 10.6000003814697 | 13 | 16.1000003814697 | 20.2999992370605 |  | 29.8999996185303 | 21.1000003814697 | 21.2999992370605 | 23 | 21.8999996185303 | 31.2000007629395 |  | 32.2000007629395 | 24.8999996185303 | 21.6000003814697 | 19 | 16.7999992370605 | 16.5 | 18.7999992370605 | 16.6000003814697 | 16.5 | 15.3000001907349
Armenia | ARM | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.9000015258789 |  |  |  |  |  | 47.2000007629395 | 32.0999984741211 | 36.0999984741211 | 31.8999996185303 | 35
American Samoa | ASM | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12
[NAME] and [NAME] | ATG | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 18.3999996185303
Australia | AUS | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.3999996185303 | 10.1999998092651 | 13.3000001907349 | 19.3999996185303 | 17.5 | 15.6000003814697 | 15.3000001907349 | 15 | 13.3999996185303 | 10.6999998092651 | 13.1999998092651 | 18.6000003814697 | 20.7999992370605 | 19.7999992370605 | 17.7000007629395 | 15.8999996185303 | 16.5 | 17.2999992370605 | 15.3999996185303 | 14 | 12.8000001907349 | 14.6000003814697 | 13.8000001907349 | 12.6000003814697 | 11.8000001907349 | 10.8999996185303 | 10.5 | 9.5 | 9.10000038146973 | 12.5 | 11.8999996185303 | 11.8999996185303 | 12.3999996185303
Austria | AUT | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.30000019073486 | 4.69999980926514 | 4.90000009536743 | 4.19999980926514 | 3.5 | 4.59999990463257 | 4.19999980926514 | 3.59999990463257 | 3.79999995231628 | 4 | 4.19999980926514 | 4.69999980926514 | 4.69999980926514 | 4.80000019073486 | 6.19999980926514 | 5.59999990463257 | 5 | 4.59999990463257 | 5 | 5.69999980926514 | 6.5 | 7.5 | 9.30000019073486 | 10.6999998092651 | 8.80000019073486 | 8.30000019073486 | 7.90000009536743 | 10.5 | 8.89999961853027 | 7.90000009536743 | 8.80000019073486
Azerbaijan | AZE | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 17 |  |  |  |  |  |  |  | 18.2000007629395 | 18.7000007629395 | 12.8999996185303 | 17.2999992370605 | 14.1999998092651 | 12.1999998092651
Burundi | BDI | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1
Belgium | BEL | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19.2999992370605 | 20.5 | 17.7000007629395 | 15.5 | 14.6999998092651 | 13 | 11.3999996185303 | 10.1000003814697 | 11 | 11.3000001907349 | 17.3999996185303 | 20.5 | 19.7000007629395 | 17.2999992370605 | 17.6000003814697 | 18.2999992370605 | 22.7000007629395 | 12.8999996185303 | 14.3000001907349 | 17.2000007629395 | 22.2000007629395 | 20.2000007629395 | 21 | 18.7999992370605 | 17.1000003814697 | 17.2999992370605 | 21.5 | 22.3999996185303 | 18.7000007629395 | 20.3999996185303
Benin | [NAME] | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.5 |  |  |  |  |  |  |  |  |  | 1.10000002384186
[NAME] | BFA | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.09999990463257 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.59999990463257
Bangladesh | BGD | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.5 | 2.70000004768372 | 1.70000004768372 |  |  | 2.79999995231628 |  |  |  |  |  |  | 8 |  |  |  | 11 |  |  | 7 |  | 8
Bulgaria | BGR | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 36.0999984741211 | 42.7000007629395 | 38.9000015258789 | 29.3999996185303 | 25 | 23.3999996185303 | 18.8999996185303 | 14.5 | 13.6999998092651 | 17.7000007629395 | 24.1000003814697 | 26 | 29.5
Bahrain | BHR | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 22.3999996185303 |  |  |  |  |  |  |  |  |  | 17.2000007629395 |  |  | 25.7000007629395 |  |  |  |  |  | 2.5
Bahamas, The | BHS | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.3000001907349 | 21.1000003814697 | 23.6000003814697 | 21 | 22 | 18.5 | 18.6000003814697 | 16.5 | 10.3000001907349 | 10.6000003814697 |  | 14 | 17.8999996185303 | 20.2999992370605 | 20 | 16.8999996185303 |  | 16.7000007629395 | 14.5 |  |  | 25.3999996185303 | 29.6000003814697
Bosnia and Herzegovina | BIH | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 60.4000015258789 | 55.4000015258789 | 44.7000007629395 | 46.7000007629395 | 55.2999992370605 | 56.7999992370605 | 62.7999992370605
Belarus | BLR | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.3999996185303
Belize | BLZ | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.09999990463257 |  |  |  | 19.1000003814697 | 21.8999996185303 | 17.2000007629395 | 18.8999996185303 | 15.3999996185303 |  |  |  |  |  | 13.8000001907349
Bermuda | BMU | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.3000001907349
Bolivia | BOL | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.19999980926514 |  |  |  |  | 7 | 7.59999990463257 | 7.30000019073486 |  |  | 9.69999980926514 |  |  | 5.09999990463257 | 4.80000019073486
Brazil | BRA | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6 | 4.19999980926514 | 6.19999980926514 | 6.59999990463257 | 5.40000009536743 | 6.69999980926514 |  | 9.89999961853027 | 9.80000019073486 |  | 9.69999980926514 | 10.3000001907349 | 11.8000001907349 | 13.8000001907349 | 15.1000003814697 | 21.2999992370605 | 14.6000003814697 | 14.6000003814697 | 15.1000003814697 | 14.1999998092651 | 15.3000001907349 | 13.8000001907349 | 12.8999996185303 | 11.8999996185303 | 13.8999996185303 |  | 12.1999998092651
Barbados | BRB | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 23.7999992370605 |  |  | 26.6000003814697 | 27.6000003814697 | 25 | 18.6000003814697 | 21.7999992370605 | 29.7000007629395 | 37.0999984741211 | 38.0999984741211 | 35.4000015258789 | 33.2999992370605 | 24.6000003814697 | 25.8999996185303 | 20.2999992370605 | 18 | 17.6000003814697 | 20.7000007629395 | 21.2999992370605 | 24.1000003814697
[NAME] | BRN | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Bhutan | BTN | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.5 | 9.19999980926514 |  |  | 10.6999998092651 | 7.09999990463257 | 6.80000019073486 | 7.30000019073486
Botswana | BWA | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 28.3999996185303 |  |  |  |  |  | 20.2000007629395 |  |  | 37.2000007629395 |  | 33.5 |  | 13.5 |  | 13.1999998092651
Sub-Saharan Africa (IFC classification) | CAA | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Central African Republic | CAF | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Canada | CAN | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.3999996185303 | 13.6999998092651 | 20.7000007629395 | 21.7999992370605 | 19.1000003814697 | 17.6000003814697 | 16.2000007629395 | 14.3000001907349 | 12.3999996185303 | 12.1999998092651 | 13.5 | 18.5 | 19.7000007629395 | 19.7000007629395 | 17.8999996185303 | 16.2999992370605 | 16.8999996185303 | 17.1000003814697 | 16.6000003814697 | 15.3000001907349 | 13.8000001907349 | 14.5 | 15.3999996185303 | 15.3999996185303 | 14.8999996185303 | 14.1999998092651 | 12.8999996185303 | 12.3000001907349 | 13.1000003814697 | 18 | 17.1000003814697 | 15.8999996185303 | 15.8999996185303
East Asia and the Pacific (IFC classification) | CEA | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Central Europe and the Baltics | CEB | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 22.3501410373134 | 20.60036903416918 | 18.61445433111455 | 19.64176978371873 | 23.48337282442576 | 26.69232692391685 | 30.37916909017491 | 31.2959482295102 | 29.34313055982644 | 29.62919220495857 | 27.48037395905412 | 23.04257513265282 | 18.021936246989 | 15.70709078133372 | 22.02131235522199 | 24.42123953511652 | 24.88529032464874 | 25.59224319818402
Europe and Central Asia (IFC classification) | CEU | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Switzerland | CHE | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.09999990463257 | 3 | 5.09999990463257 | 7.09999990463257 | 5.40000009536743 | 5.69999980926514 | 5.09999990463257 | 7.90000009536743 | 4.40000009536743 | 5.59999990463257 | 5.69999980926514 | 5.5 | 7.19999980926514 | 8.30000019073486 | 8 | 8.5 | 7.90000009536743 | 6.80000019073486 | 6.69999980926514 | 7.90000009536743 | 7.30000019073486 | 7.59999990463257 | 8.80000019073486
Channel Islands | CHI | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Chile | CHL | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 30.8999996185303 | 23.6000003814697 | 23.2000007629395 | 21.5 | 16.5 |  | 12.5 | 12.1999998092651 | 13.3999996185303 | 11.5 | 9.69999980926514 | 10.3000001907349 | 12 | 10.8000001907349 | 13.5 | 12.8000001907349 | 13.6999998092651 | 20.2000007629395 | 19.3999996185303 | 19.7999992370605 | 20.2999992370605 | 19.1000003814697 | 18.7000007629395 | 17.2999992370605 | 16.3999996185303 | 16.1000003814697 | 17.7999992370605 | 21.5 | 16.6000003814697 | 15.1999998092651 | 14.3000001907349
China | CHN | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Cote d'Ivoire | CIV | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Latin America and the Caribbean (IFC classification) | CLA | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Middle East and North Africa (IFC classification) | CME | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Cameroon | CMR | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Congo, Rep. | COG | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Colombia | COL | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 15.3000001907349 | 14.8000001907349 | 14 | 11.8999996185303 | 15.6000003814697 | 20.2000007629395 | 20.7000007629395 | 26 | 32 |  |  |  | 18.7000007629395 | 18.3999996185303 | 17.8999996185303 | 19.2999992370605 | 18.1000003814697 | 18.1000003814697 | 18.3999996185303 | 18.2000007629395 | 17
Comoros | COM | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Cabo Verde | CPV | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 40.7000007629395
Costa Rica | CRI | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.19999980926514 | 11.6000003814697 | 12.5 | 12.6999998092651 | 7.59999990463257 | 9.19999980926514 | 8.89999961853027 | 8.39999961853027 | 7.40000009536743 | 6.30000019073486 | 7.59999990463257 | 9.69999980926514 | 6.69999980926514 | 7.40000009536743 | 6.5 | 10.1999998092651 | 9.89999961853027 | 9.60000038146973 | 8.89999961853027 | 10.8999996185303 | 9.10000038146973 | 11.8999996185303 | 12.1000003814697 | 12.8999996185303 | 12.1000003814697 | 11.3000001907349 | 10.6000003814697 | 8.19999980926514 | 9.60000038146973 |  | 14.1000003814697 | 13.5 | 15
South Asia (IFC classification) | CSA | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Caribbean small states | CSS | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 23.33083613741291 | 22.28999274375103 | 21.68233266705154 | 24.69300116950736 |  | 25.70292683945345 | 23.32492886267026 |  | 23.07506689432511 | 22.29667624914792 |  |  | 21.36658159575029
Cuba | CUB | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.5 |  | 3.29999995231628 | 3.79999995231628 | 2.79999995231628
[NAME] | CUW | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Cayman Islands | CYM | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.1999998092651 | 10.8999996185303 | 13.6000003814697
Cyprus | CYP | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.5 | 5.69999980926514 | 7.90000009536743 | 8.69999980926514 | 8.10000038146973 | 13.1999998092651 | 8.89999961853027 | 10.8999996185303 | 8.60000038146973 | 13.3999996185303 | 15.8999996185303 | 23.2999992370605 | 28.7999992370605
Czech Republic | CZE | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.09999990463257 |  | 7 | 7.90000009536743 | 7.19999980926514 | 6.40000009536743 | 7.5 | 10.6999998092651 | 15.8999996185303 | 16.7000007629395 | 16 | 15.1000003814697 | 16.6000003814697 | 21.1000003814697 | 19.3999996185303 | 16.6000003814697 | 10.6000003814697 | 9.80000019073486 | 16.6000003814697 | 18.2999992370605 | 18.1000003814697 | 19.8999996185303
Germany | DEU | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.90000009536743 | 5.69999980926514 | 7.40000009536743 | 8.19999980926514 | 8.30000019073486 | 9.60000038146973 | 10.6999998092651 | 9.69999980926514 | 9.30000019073486 | 9.19999980926514 | 9.30000019073486 | 11.3999996185303 | 12.3000001907349 | 14.1999998092651 | 16.1000003814697 | 14.3000001907349 | 12.1999998092651 | 10.6999998092651 | 12 | 10.3999996185303 | 9.10000038146973 | 8.80000019073486
Djibouti | DJI | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Dominica | DMA | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.6000003814697 |  |  |  |  |  |  |  | 36.2999992370605 |  | 34.2000007629395 |  | 26.2000007629395
Denmark | DNK | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 18.1000003814697 | 12.3999996185303 | 10 | 7 | 8 | 8.10000038146973 | 10.6999998092651 | 11.3999996185303 | 10.6999998092651 | 12.1000003814697 | 14.3999996185303 | 10.1999998092651 | 7.80000019073486 | 9 | 6.59999990463257 | 6.69999980926514 | 9.5 | 6.5 | 7.30000019073486 | 7.30000019073486 | 9.19999980926514 | 8.89999961853027 | 8.60000038146973 | 7.90000009536743 | 7.59999990463257 | 7.40000009536743 | 13.3000001907349 | 16.1000003814697 | 15.6999998092651 | 14.8000001907349
Dominican Republic | DOM | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 25 | 24.1000003814697 | 24.2000007629395 | 21.3999996185303 | 20.8999996185303 | 20.3999996185303 | 19.5 |  |  | 16.2000007629395 |  | 14.8999996185303 |  |  |  |  | 21.2000007629395 |  |  |  | 22.6000003814697
Algeria | DZA | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 42.7999992370605 |  |  |  |  | 19 | 18.7000007629395 | 19.1000003814697
East Asia & Pacific (developing only) | EAP | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
East Asia & Pacific (all income levels) | EAS | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Europe & Central Asia (developing only) | ECA | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19.55777057071751 |  |  |  |  | 21.26253638037188 | 20.32880953115161 | 18.71921820683301 | 17.84227108670811
Europe & Central Asia (all income levels) | ECS | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 16.8060283880581 | 19.04818107320247 | 20.12155900347196 | 19.58510382430773 | 19.42899332076813 | 19.79316567089719 | 20.17457839617707 | 19.45402152103689 | 18.15801430415332 | 18.04460829711256 | 18.36251320037201 | 18.73781806636735 | 18.52851749224411 | 18.05823465440267 | 17.89787541240716 | 16.72693506063559 | 16.09069990400193 | 20.54311423701202 | 20.42659714563335 | 19.8819361346407 | 20.93878221419512
Ecuador | ECU | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.1000003814697 | 13.3000001907349 |  |  | 12.6999998092651 | 13 | 16.1000003814697 | 15.1000003814697 | 17.6000003814697 |  |  | 14.8999996185303 | 12 | 19.2999992370605 | 14.8000001907349 | 12.1999998092651 | 12.1000003814697 | 9.30000019073486 | 10.1000003814697 | 11.6999998092651 | 10.1000003814697 | 9
Egypt, Arab Rep. | EGY | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 15.8000001907349 | 13.8000001907349 |  | 19.2000007629395 | 21.3999996185303 |  |  | 23.2999992370605 | 20.6000003814697 | 17.2000007629395 | 16.7999992370605 | 14.8999996185303 | 14.6999998092651
Euro area | EMU | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21.49976245737003 |  | 24.8225949015438 |  | 23.26387269711011 | 21.64791464072619 | 19.06222657772261 | 18.01802757167002 | 15.17387823144317 | 16.53329502870516 | 20.6773842656997 | 22.56245206761689 | 21.26762540007914 | 21.825726826135 | 21.49367482647102 | 20.01387905961172 | 19.08981197997496 | 17.01964013480051 | 15.36474414862291 | 16.39161028470538 | 16.70270451648521 | 17.40766045798649 | 17.5243932718253 | 16.24729461974864 | 14.83464462135533 | 15.80100457443693 | 21.3915590350082 | 22.24556645518971 | 22.58981033813181 | 25.76022483918135
Eritrea | ERI | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Spain | ESP | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 23 | 28.1000003814697 | 31.7999992370605 | 33.7999992370605 | 37.9000015258789 | 39.2999992370605 | 38.2000007629395 | 33.5999984741211 | 29.5 | 24.3999996185303 | 23.2000007629395 | 22.6000003814697 | 26.5 | 36.2999992370605 | 37.4000015258789 | 33.5999984741211 | 33 | 30.3999996185303 | 27 | 21.7000007629395 | 19.3999996185303 | 16.1000003814697 | 18.3999996185303 | 19.3999996185303 | 18.7000007629395 | 16.7000007629395 | 15 | 15.1999998092651 | 23.7000007629395 | 39.0999984741211 | 43.2000007629395 | 48.2000007629395 | 54.4000015258789
Estonia | EST | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21 | 17.1000003814697 | 22.2999992370605 | 24.7000007629395 | 17.3999996185303 | 14.3000001907349 | 20.5 | 23.5 | 16.6000003814697 | 10 | 12.1999998092651 | 12.3999996185303 | 31.7000007629395 | 35.4000015258789 | 23.7999992370605 | 23.3999996185303
Ethiopia | ETH | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.89999997615814 |  |  |  |  |  |  |  |  |  |  |  |  | 28.2999992370605 | 4.09999990463257 | 19.5
European Union | EUU | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 15.04407540883348 | 18.003886841431 | 21.18504589088583 | 22.48866698530995 | 20.91499110770582 | 20.92531407489078 | 19.98683267062894 | 18.95256953354654 | 19.1545714292953 | 18.55153986330906 | 18.41415020054698 | 19.42165545422231 | 19.23117226503152 | 19.55461539517053 | 19.42079293021554 | 17.79383909400482 | 15.7048450611371 | 15.80827473556679 | 21.43870272116321 | 22.39924796690527 | 22.82380276010612 | 25.20900817987583
Fragile and conflict affected situations | FCS | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Finland | FIN | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.5 | 10.1000003814697 | 11 | 11.6000003814697 | 10.6000003814697 | 10.6999998092651 | 11.6999998092651 | 11 | 9.5 | 7.69999980926514 | 9.39999961853027 | 16.3999996185303 | 25.8999996185303 | 31.1000003814697 | 31.5 | 25.7000007629395 | 24.2999992370605 | 22 | 20.1000003814697 | 18.7000007629395 | 18.8999996185303 | 17.5 | 18.6000003814697 | 19.3999996185303 | 19.6000003814697 | 18.3999996185303 | 16.8999996185303 | 14.8000001907349 | 15.3000001907349 | 22 | 21.6000003814697 | 19.2999992370605 | 17.6000003814697
Fiji | FJI | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.6999998092651 |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.3000001907349 |  |  |  |  |  |  |  |  |  |  | 14.8000001907349
France | FRA | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 16 | 20.7999992370605 | 22.8999996185303 | 21.5 | 20 | 19.1000003814697 | 16.2000007629395 | 16.7999992370605 | 17 | 18.6000003814697 | 23.5 | 27.2000007629395 | 23.7000007629395 | 25 | 27 | 24.1000003814697 | 24.7000007629395 | 19 | 16 | 17.5 | 16.5 | 19.7000007629395 | 19.5 | 20.3999996185303 | 18.2999992370605 | 18.5 | 24 | 22.2000007629395 | 21.1000003814697 | 23.8999996185303
Faeroe Islands | FRO | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.90000009536743
Micronesia, Fed. [NAME]. | FSM | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Gabon | GAB | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.7000007629395
United Kingdom | GBR | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 20.8999996185303 | 19.1000003814697 | 19.2999992370605 | 16.7000007629395 | 13.8000001907349 | 10.8999996185303 | 11.1000003814697 | 15.6000003814697 | 18.7999992370605 | 20.7999992370605 | 19.2000007629395 | 17.8999996185303 | 17.7999992370605 | 15.6000003814697 | 13.8999996185303 | 14 | 13.1999998092651 | 12 | 13 | 13.3000001907349 | 11.8000001907349 | 13.6000003814697 | 15.6000003814697 | 15.6999998092651 | 16 | 21.7999992370605 | 21.2999992370605 | 22 | 23.7999992370605
Georgia | GEO | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 24.3999996185303 | 21.6000003814697 | 20.2999992370605 | 28.3999996185303 | 20 | 25.2000007629395 | 26.7999992370605 | 28.2000007629395 | 28.1000003814697 | 32.4000015258789
Ghana | GHA | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.8000001907349 |  |  |  |  |  |  | 12.6999998092651 | 16.3999996185303
Guinea | GIN | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Gambia, The | GMB | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Guinea-Bissau | GNB | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Equatorial Guinea | GNQ | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Greece | GRC | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.5 | 14.1999998092651 | 17.1000003814697 | 17.3999996185303 | 17.7999992370605 | 16 | 17.5 | 17 | 17 | 15.1000003814697 | 16.8999996185303 | 17.2000007629395 | 20.1000003814697 | 19.7999992370605 | 19.3999996185303 | 21.5 | 22.2000007629395 | 21.3999996185303 | 23 | 22.1000003814697 | 21 | 19.8999996185303 | 18.8999996185303 | 19.1000003814697 | 18.7000007629395 | 17.7000007629395 | 15.6999998092651 | 17 | 19.3999996185303 | 26.7000007629395 | 38.5 | 48.4000015258789
Grenada | GRD | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 27.5 |  |  | 32.0999984741211 |  | 19.2999992370605 |  | 25.3999996185303
Greenland | GRL | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Guatemala | GTM | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.69999980926514 | 4.5
Guam | GUM | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 28.1000003814697 |  |  | 16.3999996185303 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 29.1000003814697 |  | 12.5 | 12.8999996185303 | 17.7000007629395 | 19.2000007629395 |  | 26.5 |  | 29.7000007629395
Guyana | GUY | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 17.2000007629395 |  |  |  |  | 20.7999992370605 |  |  |  |  |  |  |  |  |  | 20.6000003814697
High income | HIC | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 16.32443303751116 | 16.37836717135809 | 15.84313010615273 | 14.72000751063976 | 13.46375529608075 | 12.27595814549589 | 12.25403347375117 | 13.20261009461856 | 14.60167241640016 | 15.70708482625881 | 15.97675625505179 | 15.53502284546355 | 15.85825788537673 | 16.10441421563806 | 16.79092215943656 | 16.2906506724332 | 15.15223794698479 | 15.24140791941845 | 15.60803104873971 | 15.98942458452439 | 15.52948942791581 | 15.05451007595705 | 14.56624600051457 | 13.51612843602231 | 14.04818854040453 | 18.88516614153822 | 18.88630755880517 | 18.19304635710522 | 18.52791292423927
Hong Kong SAR, China | HKG | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.80000019073486 | 4.80000019073486 | 6.90000009536743 | 7.80000019073486 | 7.30000019073486 | 6.59999990463257 | 6 | 3.79999995231628 | 3.70000004768372 | 3.09999990463257 | 3.59999990463257 | 4.69999980926514 | 4.69999980926514 | 4.90000009536743 | 5.09999990463257 | 7.69999980926514 | 7.69999980926514 | 5.80000019073486 | 12.1000003814697 |  | 11.8999996185303 | 13.3999996185303 | 18.1000003814697 | 18.2000007629395 | 15.1000003814697 | 13.6999998092651 | 12.8999996185303 | 11 | 10.3999996185303 | 15.1000003814697 | 14 | 11 | 10.8999996185303
Honduras | HND | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.5 | 4.30000019073486 |  |  |  |  | 7 |  | 5.5 | 4.90000009536743 | 6.09999990463257 | 7.59999990463257 | 5.19999980926514 |  |  |  |  |  | 5.5
Heavily indebted poor countries (HIPC) | HPC | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Croatia | HRV | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.5 |  |  |  |  |  |  | 30.7999992370605 |  |  | 46.5999984741211 | 34.2999992370605 | 33.7999992370605 | 29.5 | 30.2000007629395 | 27.2000007629395 | 20.8999996185303 | 18.5 | 23.1000003814697 | 31.1000003814697 | 35.5999984741211 | 42.2999992370605
Haiti | HTI | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 22.7999992370605 |  |  |  |  | 49.2000007629395 |  | 23 |  |  |  |  |  |  |  |  | 15.1000003814697
Hungary | HUN | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 22 | 26.7999992370605 | 24.6000003814697 | 20.7000007629395 | 19 | 16.8999996185303 | 15.8000001907349 | 14 | 13.8000001907349 | 12.1999998092651 | 13.1999998092651 | 13.8000001907349 | 16.2000007629395 | 19.7000007629395 | 18.6000003814697 | 17.6000003814697 | 19.1000003814697 | 28.2000007629395 | 27.8999996185303 | 27.2000007629395 | 28.7999992370605
Indonesia | IDN | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.69999980926514 |  |  | 7.19999980926514 | 8.80000019073486 |  | 9.10000038146973 | 9 |  |  | 8.60000038146973 |  |  |  | 14.3000001907349 |  |  | 17.8999996185303 | 19.7000007629395 | 22.2999992370605 |  | 25.5 | 26.8999996185303 | 28.7999992370605 | 27.7000007629395 | 23.7999992370605 | 21.7999992370605 | 21.6000003814697 | 21.0534218766209 | 22.2046507233979 | 19.4252067853638
Isle of Man | IMN | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9 |  |  |  |  | 9.60000038146973 |  |  |  |  | 4.90000009536743 |  |  |  |  | 9.5
India | IND | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.30000019073486 |  |  |  |  |  | 10.1000003814697 |  |  |  |  | 9.80000019073486 |  |  |  |  | 9.80000019073486 |  | 10.3999996185303
Not classified | INX | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Ireland | IRL | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 23.2999992370605 | 26.1000003814697 | 26.2999992370605 | 29.1000003814697 | 28.6000003814697 | 27.1000003814697 | 23.6000003814697 | 20.8999996185303 | 24.7000007629395 | 24.2999992370605 | 26.8999996185303 | 25.1000003814697 | 20.2999992370605 | 19.1000003814697 | 16.7999992370605 | 11.8000001907349 | 8.69999980926514 | 6.19999980926514 | 6.5 | 8.80000019073486 | 9 | 8.89999961853027 | 9.10000038146973 | 9 | 9.89999961853027 | 15.3000001907349 | 30.7000007629395 | 33.7000007629395 | 35 | 36.4000015258789
Iran, Islamic Rep. | IRN | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21.2000007629395 |  | 20 | 20.2000007629395
Iraq | IRQ | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Iceland | ISL | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.80000019073486 | 8.89999961853027 | 10.1999998092651 | 13 | 13.1000003814697 | 9.19999980926514 | 8.30000019073486 | 6.40000009536743 | 4.40000009536743 | 5.69999980926514 | 5.40000009536743 | 9.69999980926514 | 9.39999961853027 | 9.30000019073486 | 8.5 | 9.19999980926514 | 8 | 9 | 19.8999996185303 | 18.2999992370605 | 18.3999996185303 | 14.6999998092651
Israel | ISR | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.3999996185303 | 13.8000001907349 | 12.8999996185303 | 12.8000001907349 | 15.6999998092651 | 18.6000003814697 | 19.1000003814697 | 14.6000003814697 | 14.6999998092651 | 19.7999992370605 | 21 | 20.2000007629395 | 21.2000007629395 | 18.6000003814697 | 14.5 | 12.8000001907349 | 12.1000003814697 | 13.8999996185303 | 16.3999996185303 | 16.1000003814697 | 17.1000003814697 | 18.6000003814697 | 20.8999996185303 | 22.2000007629395 | 19.7000007629395 | 17 | 17.2999992370605 | 15 | 11.8999996185303 | 15.6999998092651 | 14.5 | 11.8000001907349 | 11.6000003814697
Italy | ITA | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 20.5 |  | 25.1000003814697 | 23.7999992370605 | 26.1000003814697 | 26.2999992370605 | 27.2999992370605 | 28.7000007629395 | 27.8999996185303 | 25.8999996185303 | 23.3999996185303 | 23.7999992370605 | 24.5 | 26.3999996185303 | 28.7000007629395 | 29.7999992370605 | 30.7999992370605 | 29.7000007629395 | 30.2000007629395 | 28.6000003814697 | 28.3999996185303 | 24.7999992370605 | 23.7000007629395 | 23.7000007629395 | 21.2000007629395 | 21.5 | 19.1000003814697 | 18.2000007629395 | 18.8999996185303 | 23.2999992370605 | 26.7999992370605 | 27.1000003814697 | 33.7000007629395
Jamaica | JAM | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 29.2000007629395 | 32.2999992370605 |  |  |  |  |  |  |  | 19.1000003814697 | 19.5 | 17.8999996185303 | 20.7000007629395 | 18.5 | 25.1000003814697 | 23.5 | 24.2000007629395 | 24 | 23.8999996185303 | 23.7999992370605 | 24.6000003814697 | 23.6000003814697 | 16.7000007629395 | 22 |  |  |  | 19.7000007629395 | 22.5 | 25.2000007629395 | 23.8999996185303 | 27.1000003814697
Jordan | JOR | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 24.5 | 27.7999992370605 | 29.1000003814697 | 28 | 24.8999996185303 | 27.7000007629395 | 25.3999996185303 | 23.7000007629395 | 22.7999992370605 | 22.6000003814697 | 23.7999992370605 | 26.2000007629395 | 25.2000007629395
Japan | JPN | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4 | 4.19999980926514 | 4.19999980926514 | 4.59999990463257 | 4.90000009536743 | 4.80000019073486 | 5.19999980926514 | 5.40000009536743 | 5.09999990463257 | 4.69999980926514 | 4.5 | 4.69999980926514 | 4.59999990463257 | 4.90000009536743 | 5.59999990463257 | 6.09999990463257 | 6.80000019073486 | 6.90000009536743 | 8.19999980926514 | 10.3000001907349 | 10.3999996185303 | 10.6999998092651 | 11.3999996185303 | 11.6000003814697 | 10.6000003814697 | 9.89999961853027 | 8.80000019073486 | 8.30000019073486 | 7.90000009536743 | 10.1000003814697 | 10.3999996185303 | 8.89999961853027 | 8.69999980926514
Kazakhstan | KAZ | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 15.6999998092651 | 12.8999996185303 | 13.1000003814697 |  |  |  | 6.80000019073486 | 5.5 | 4.80000019073486 | 4.19999980926514 | 2.90000009536743
Kenya | [NAME] | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Kyrgyz Republic | KGZ | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19.2999992370605 |  | 13.5 | 13.3000001907349 | 13.6000003814697
Cambodia | KHM | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.3000001907349 |  |  |  |  |  |  |  |  |  | 3.5
Kiribati | KIR | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
St. Kitts and Nevis | KNA | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Korea, Rep. | KOR | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.8999996185303 | 13.1999998092651 | 12.8000001907349 | 12.1999998092651 | 11.5 | 13.3999996185303 | 12.3000001907349 | 10 | 9.80000019073486 | 9 | 9.5 | 9.69999980926514 | 9.30000019073486 | 11.8999996185303 | 9.19999980926514 | 7.80000019073486 | 8.10000038146973 | 9.19999980926514 | 20.5 | 17.5 | 13.5 | 12.6999998092651 | 10.3000001907349 | 11.8000001907349 | 12.1999998092651 | 12.1999998092651 | 11.6999998092651 | 11.3999996185303 | 11.5 | 11.8999996185303 | 11.1999998092651 | 12.1000003814697 | 9.69999980926514
Kosovo | KSV | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 67.5999984741211 | 65.8000030517578 | 57.9000015258789 | 63.7000007629395 | 67.9000015258789 | 65 | 68.5999984741211 | 68.5 |  |  | 52
Kuwait | KWT | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.30000019073486 |  |  |  |  |  |  |  |  |  |  |  | 15.6000003814697 |  |  |  |  |  |  |  |  |  | 11.8000001907349
Latin America & Caribbean (developing only) | LAC | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9.67225255245913 | 10.52065203443776 |  | 10.79653385781198 | 13.32214931426147 | 12.45853436747503 | 13.67207496165144 | 14.435983161122 | 15.75344299885671 | 13.12190550752162 | 12.18341053430074 | 15.18957285192676 | 13.45215834854676 | 13.09561640189911 | 12.36510347410537 | 11.74960329205648 | 11.06629236103772 | 13.14574408782811 |  | 12.12391077036636
Lao PDR | LAO | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.40000009536743
Lebanon | LBN | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 20.2999992370605 |  |  | 22.2999992370605 |  | 14.6000003814697
Liberia | LBR | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.69999980926514 |  |  | 3.40000009536743
Libya | LBY | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
St. Lucia | LCA | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.6000003814697 |  | 23.3999996185303 | 28 | 27.5 | 31 | 31.2000007629395 | 38.0999984741211 | 33.0999984741211 | 32.2000007629395 | 27 | 31.7000007629395 | 30.2000007629395 | 37.0999984741211 | 34.0999984741211 | 27 | 21.5
Latin America & Caribbean (all income levels) | LCN | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.01162244160995 | 10.84139659844158 |  | 11.08282947391082 | 13.50595617344454 | 12.594994232137 | 13.82259746012067 | 14.68929585177116 | 16.00442228700296 | 13.43096609349426 | 12.58504268867439 | 15.46917749963422 | 13.6791172632947 | 13.38395196852432 | 12.61755279612165 | 12.00271589306958 | 11.41473473221435 | 13.54021751815587 |  | 12.3609180176468
Latin America and the Caribbean | LCR | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Least developed countries: UN classification | LDC | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Low income | LIC | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
[NAME] | LIE | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
[NAME] | LKA | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 22.1000003814697 | 19.8999996185303 |  |  | 21.6000003814697 | 21.2000007629395 | 20.3999996185303 | 17.5 | 17.1000003814697 | 14.1999998092651 | 17.1000003814697 | 16.2999992370605 | 12.8999996185303 | 14
Lower middle income | LMC | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.11335914062518 |  |  |  |  | 13.57936293175984 |  |  |  |  | 12.47325100974739 |  | 11.85580791148636
Low & middle income | LMY | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
[NAME] | LSO | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 37.9000015258789 |  | 25.7999992370605 |  |  |  |  |  |  |  |  | 29
Lithuania | LTU | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 28.5 | 29.2999992370605 | 28.7999992370605 | 29.6000003814697 | 36.5999984741211 | 19.6000003814697 | 22.2000007629395 | 23.7000007629395 | 16 | 10 | 6.90000009536743 | 12.6000003814697 | 35.0999984741211 | 38.4000015258789 | 34.2000007629395 | 29.8999996185303
Luxembourg | LUX | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.59999990463257 | 5.30000019073486 | 6.69999980926514 | 5.5 | 3.79999995231628 | 4.69999980926514 | 2.09999990463257 | 2.70000004768372 | 2.79999995231628 | 4.5 | 5 | 8.5 | 6.69999980926514 | 10.1000003814697 | 5.59999990463257 | 5.80000019073486 | 6.19999980926514 | 5.69999980926514 | 7.09999990463257 | 5.30000019073486 | 9.69999980926514 | 12.1000003814697 | 11.6999998092651 | 17 | 13.5 | 12.5 | 16.7000007629395 | 17.6000003814697 | 13.3000001907349 | 18.8999996185303
Latvia | LVA | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 34.2000007629395 | 25.5 | 27.6000003814697 | 26.2000007629395 | 20.8999996185303 | 24 | 25.1000003814697 | 13.6999998092651 | 14.8999996185303 | 11.8000001907349 | 10.5 | 11.1999998092651 | 13.1999998092651 | 37.5 | 35.4000015258789 | 31.2000007629395 | 27.6000003814697
Macao SAR, China | MAC | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4 | 4.30000019073486 | 6.30000019073486 |  |  | 10 | 13.6999998092651 |  | 14.1999998092651 |  |  | 18.2999992370605 | 14.3000001907349 | 10.3999996185303 | 8.60000038146973 | 8.89999961853027 | 7.59999990463257 | 10 | 7.69999980926514 | 7
St. Martin (French part) | MAF | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Morocco | MAR | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 30.8999996185303 |  |  |  |  |  |  |  | 34.7000007629395 | 22.1000003814697 | 20.8999996185303 | 19.7000007629395 | 17.8999996185303 | 17.3999996185303 | 15.8000001907349 | 16.2000007629395 | 17.5 | 17.8999996185303 | 19.1000003814697 | 18.6000003814697 | 18.1000003814697 | 18.1000003814697 | 18.3999996185303
Mexico and Central America | MCA | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Monaco | MCO | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.59999990463257
Moldova | MDA | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 16.5 | 18.2999992370605 | 17.3999996185303 | 19 | 21.5 | 19.1000003814697 | 17.8999996185303 | 14.8999996185303 | 10.1999998092651 | 15.8000001907349 | 20.1000003814697 | 14.1999998092651 | 12.8000001907349
Madagascar | MDG | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.69999980926514 |  | 1.70000004768372
Maldives | MDV | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.39999997615814 |  |  |  |  | 4 |  |  |  |  |  | 15.5
Middle East & North Africa (all income levels) | MEA | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 18.95593029345734 | 18.83047917886799
Mexico | MEX | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.20000004768372 |  |  | 5.19999980926514 | 5 | 4.90000009536743 | 6.5 | 9.19999980926514 | 7.59999990463257 | 5.59999990463257 | 5.19999980926514 | 2.90000009536743 | 4.40000009536743 | 3.79999995231628 | 4.80000019073486 | 5.09999990463257 | 5.90000009536743 | 6.09999990463257 | 5.40000009536743 | 6.19999980926514 | 6.19999980926514 | 9.69999980926514 | 9 | 9.5 | 9.10000038146973
Marshall Islands | MHL | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Middle income | MIC | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Macedonia, FYR | MKD | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 69.1999969482422 | 63.5999984741211 | 58.0999984741211 |  | 58 | 65.1999969482422 | 64.8000030517578 | 63 | 58.9000015258789 | 57.4000015258789 | 55.7000007629395 | 52.7000007629395 | 53.7999992370605 | 55.7000007629395 | 55.2000007629395
[NAME] | MLI | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Malta | MLT | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.3000001907349 | 20.2999992370605 | 16.3999996185303 | 15.5 | 19 | 17.5 | 17.2000007629395 | 15.8999996185303 | 13.3999996185303 | 15.6000003814697 | 14.3999996185303 | 13.8999996185303 | 14
Myanmar | MMR | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Middle East & North Africa (developing only) | MNA | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 18.49564905111129
Montenegro | MNE | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 32.4000015258789 | 32 | 35.4000015258789 | 44.5 | 35.5 | 42.2999992370605
Mongolia | MNG | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.6999998092651 | 11.1000003814697 |  |  |  | 10.6999998092651 | 10.6000003814697 | 9.69999980926514 | 15.1999998092651 | 10.6999998092651
Northern Mariana Islands | MNP | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.1999998092651
Mozambique | MOZ | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Mauritania | MRT | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
[NAME] | MUS | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21.3999996185303 |  |  |  |  |  |  |  |  | 21.2000007629395 | 20.5 | 18.1000003814697 | 20 | 15.1000003814697 | 18.1000003814697 | 19.3999996185303 | 17.2999992370605 | 20.3999996185303
[NAME] | MWI | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.5
Malaysia | MYS | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.60000038146973 | 10 | 8.30000019073486 |  |  |  |  |  |  | 10.5 | 10.3000001907349 |  |  | 9.39999961853027 | 9.80000019073486
North America | NAC | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.47585735410105 | 15.49248887918416 | 19.26628551488756 | 18.75286430109982 | 14.88616915049297 | 14.45988900750115 | 13.95496099286556 | 12.77207564833069 | 11.50033477660052 | 11.47997661946883 | 11.78893572954864 | 14.71553795490487 | 15.73369303918757 | 14.83100510920115 | 13.66109298233871 | 12.87130700690606 | 13.01911786769379 | 12.3147106809033 | 11.63116727440155 | 10.77991577779315 | 10.09133872774001 | 11.69473532367869 | 13.0459832794425 | 13.58862824960243 | 12.81643337220048 | 12.56932424769321 | 11.35992779183928 | 11.66609386179921 | 14.27665159914676 | 19.89995113967359 | 20.44736608441785 | 18.43419377356524 | 17.43953135675973
Namibia | NAM | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 29.6000003814697 |  |  | 32.7999992370605 |  |  | 41.9000015258789 | 40.4000015258789 |  |  | 36.7000007629395 |  |  |  | 54.5999984741211 |  | 39.2000007629395 |  | 29.3999996185303
New Caledonia | NCL | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
[NAME] | NER | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4
Nigeria | NGA | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.5
Nicaragua | NIC | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.39999961853027 | 11 | 14 |  | 35.7000007629395 | 30.7000007629395 | 22.3999996185303 | 18.8999996185303 |  | 13.6999998092651 |  | 7 |  |  | 10.8000001907349 |  |  | 8.10000038146973 |  | 8 |  | 9.80000019073486
Netherlands | NLD | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 23 |  | 18.6000003814697 |  | 15.6000003814697 | 14 | 12.3999996185303 | 10.1999998092651 | 10.1999998092651 | 7.69999980926514 | 11.3000001907349 | 13.5 | 11.5 | 11.3000001907349 | 9.19999980926514 | 8.30000019073486 | 6.59999990463257 | 4.69999980926514 | 4.19999980926514 | 4.30000019073486 | 6.69999980926514 | 7.90000009536743 | 8 | 6.09999990463257 | 5.59999990463257 | 5.40000009536743 | 7.09999990463257 | 8.80000019073486 | 7.5 | 8.89999961853027
High income: nonOECD | NOC | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.82040636557276 | 14.05899665585312 | 15.13942482235723 | 17.68637783671566 | 18.47651505004793 | 22.71754588310972 | 26.09916250523371 | 22.53565353062995 | 19.9993501005482 | 18.96376718904368 | 16.76907914457819 | 17.44731844280035 | 16.62332546085947 | 14.80737127589899 | 17.76763406540885 | 16.06428042050181 | 14.62712826895756 | 19.68391377913919 | 17.72093348678326 | 17.40909301227019 | 16.81509002886166
Norway | NOR | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.19999980926514 | 5.30000019073486 | 7.30000019073486 | 8.19999980926514 | 7.40000009536743 | 5.80000019073486 | 3.90000009536743 | 4.19999980926514 | 7.40000009536743 | 11.8999996185303 | 12.3999996185303 | 13.6000003814697 | 15 | 14.5 | 13.1000003814697 | 11.8999996185303 | 12.1000003814697 | 10.1999998092651 | 8.89999961853027 | 9.60000038146973 | 9.5 | 10.6000003814697 | 12.3000001907349 | 12.6999998092651 | 12.6000003814697 | 12.5 | 8.60000038146973 | 7.90000009536743 | 8.19999980926514 | 10.3000001907349 | 10.8999996185303 | 9.30000019073486 | 10
Nepal | NPL | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4
New Zealand | NZL | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.90000009536743 | 8.5 | 11.6000003814697 | 14.3000001907349 | 14.8000001907349 | 21.2999992370605 | 21.1000003814697 | 19.2000007629395 | 16.1000003814697 | 12.3000001907349 | 12.8999996185303 | 13.8000001907349 | 16.1000003814697 | 15.3000001907349 | 14.6000003814697 | 12.3999996185303 | 11.8000001907349 | 10.3999996185303 | 9 | 9.39999961853027 | 9.60000038146973 | 10 | 11.8000001907349 | 16 | 16.7999992370605 | 18.2000007629395 | 17.2999992370605
High income: OECD | OEC | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 16.90377089770899 | 16.93673141769217 | 16.33135497945098 | 16.34078961726694 | 15.77579280309698 | 14.66166917843953 | 13.40776833959251 | 12.33739594553382 | 12.18288483326057 | 12.96060054479277 | 14.56085544847833 | 15.98231938221346 | 16.114001255455 | 15.15009384667279 | 15.38430223551401 | 14.89684047815293 | 14.96168688352748 | 14.97608656029116 | 14.0498044319349 | 14.38259622526786 | 15.33332441806361 | 15.68342809284648 | 15.30207829176091 | 15.10896986560374 | 13.79130440328663 | 12.90028634818224 | 13.90296936312114 | 18.70599850465215 | 19.10544067179667 | 18.36549613274777 | 18.88583519706684
OECD members | OED | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 16.93673141769217 | 16.33135497945098 | 16.34078961726694 | 15.77579280309698 | 14.66166917843953 | 12.47996746814498 | 12.68777073391318 | 12.52865748192744 | 12.36175241134825 | 13.75315448677954 | 14.98540878296279 | 15.16722958478918 | 14.62063984559249 | 14.44945390228224 | 13.73597170964804 | 13.7876849098141 | 13.55333185386232 | 12.85542314436798 | 13.29872543644112 | 14.42447327915725 | 14.84144171411435 | 14.57997098865153 | 14.3997589421966 | 13.15988235623206 | 12.62732353805485 | 13.46235348416822 | 18.15886452439196 | 18.03612300538671 | 17.19618972848124 | 17.48007392988455
Oman | OMN | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Other small states | OSS | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Pakistan | PAK | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.80000019073486 |  | 5.69999980926514 | 7.90000009536743 | 7.30000019073486 | 6.5 | 6.90000009536743 | 7.59999990463257 |  | 7.90000009536743 | 8.80000019073486 |  | 11.1000003814697 |  | 12 |  | 11 |  | 8.39999961853027 | 7.09999990463257 | 7
Panama | PAN | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 16.2000007629395 | 14.5 | 19.7000007629395 | 21.3999996185303 | 20 |  | 26 | 25.8999996185303 | 18.5 | 25.7000007629395 |  | 22.3999996185303 | 23.2999992370605 | 23 | 26.2000007629395 | 23 | 23.2000007629395 | 19.6000003814697 | 25.7999992370605 |  | 24.3999996185303 | 24.2000007629395 | 22.2999992370605 | 18.5 | 15.8000001907349 | 12.8000001907349 | 11.6999998092651 | 11.8999996185303 | 11.8999996185303 | 11.1999998092651 | 8.69999980926514
Peru | PER | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.6000003814697 | 9.80000019073486 |  | 14.6999998092651 | 11.3000001907349 | 9.80000019073486 | 12.3999996185303 | 12.6000003814697 | 12.1999998092651 | 13.1000003814697 | 13.6999998092651 | 12.6000003814697 |  | 21.2999992370605 | 18 | 10.3999996185303 |  | 9.80000019073486 |  | 9.39999961853027 |  | 9.39999961853027
Philippines | PHL | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.69999980926514 |  | 9.69999980926514 |  | 13.1999998092651 | 13.1000003814697 | 14.1000003814697 | 13.1000003814697 | 15.1999998092651 | 15.1999998092651 | 15.1999998092651 | 14.8000001907349 | 14.3999996185303 | 12.6999998092651 | 14.1000003814697 | 17.5 | 18.2000007629395 | 19.7999992370605 | 16.6000003814697 | 19.7000007629395 | 18.2999992370605 | 19.1000003814697 | 14.8999996185303 | 15.8999996185303 | 13.8999996185303 | 16.2000007629395 | 16.2000007629395 | 16.5 | 15.1999998092651 | 14.9
Palau | PLW | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
[NAME] | PNG | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Poland | POL | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 25.8999996185303 | 28 | 30.7999992370605 | 29 | 26.2999992370605 | 22 | 21.5 | 28.2999992370605 | 33.2999992370605 | 40.0999984741211 | 43.5 | 42 | 39 | 36.7000007629395 | 28.2999992370605 | 20 | 15.1999998092651 | 20.2000007629395 | 22.3999996185303 | 23.6000003814697 | 24.1000003814697
Puerto Rico | PRI | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 50.2999992370605 | 43.5 | 45 | 44.2999992370605 | 40.7000007629395 | 37 |  | 33.2999992370605 | 34.7000007629395 | 35.5999984741211 | 33.5999984741211 |  | 28.2999992370605 | 29 | 28.7000007629395 | 25.2000007629395 | 24.7999992370605 | 23.2999992370605 |  | 23.7999992370605 | 24.2000007629395 | 21.8999996185303 | 24.7999992370605 | 22.7999992370605 | 24.2999992370605 | 27.3999996185303 | 33.7000007629395 | 35.4000015258789 | 33.2999992370605 | 28.8999996185303
Korea, Dem. Rep. | PRK | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Portugal | PRT | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.39999961853027 | 8.69999980926514 | 7.5 | 12.1999998092651 | 14 | 15.3000001907349 | 15.1999998092651 | 12.3000001907349 | 9.19999980926514 | 8.39999961853027 | 7.80000019073486 | 6.40000009536743 | 8.5 | 10.6000003814697 | 12.8999996185303 | 14.6000003814697 | 14.1000003814697 | 11.6000003814697 | 8.19999980926514 | 7.19999980926514 | 6.19999980926514 | 7.19999980926514 | 9.80000019073486 | 12.3999996185303 | 13.5 | 13.6999998092651 | 14.5 | 13.5 | 13.3999996185303 | 18.6000003814697 | 21.1000003814697 | 28.7000007629395 | 36.4000015258789
Paraguay | PRY | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.8999996185303 | 15 | 10.6999998092651 | 10.6999998092651 | 11.1000003814697 | 8.19999980926514 | 5.5 |  | 9.19999980926514 | 9.19999980926514 | 10.8000001907349 | 11.6999998092651 | 11.6999998092651 | 14.8000001907349 | 12.1000003814697 |  |  |  | 8.60000038146973 | 8.69999980926514 | 10.6999998092651 | 10.1000003814697 | 9.69999980926514 | 9
Pacific island small states | PSS | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
French Polynesia | PYF | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 32 |  |  |  |  |  | 32.2000007629395 |  |  |  |  | 31.3999996185303
Qatar | QAT | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.699999988079071 |  |  |  | 0.400000005960464
Romania | [NAME] | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21.5 |  |  | 18.7999992370605 | 17.5 | 15.8999996185303 | 16.7000007629395 | 18.7999992370605 | 19.2999992370605 | 18.1000003814697 | 22.3999996185303 | 19.2000007629395 | 25.1000003814697 | 21.5 | 22.2999992370605 | 21.1000003814697 | 18.7999992370605 | 21.2000007629395 | 22.2999992370605 | 23.7000007629395 | 22.2999992370605
Russian Federation | RUS | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13 | 13.5 | 15.3999996185303 | 17.7999992370605 | 18.2999992370605 | 23.1000003814697 | 26.7000007629395 | 22.5 | 19.5 | 17 | 14.5 | 16.5 | 16.1000003814697 | 14.3999996185303 | 15.6999998092651 | 14.5 | 13.1999998092651 | 18.1000003814697 | 16.6000003814697 | 15 | 14.5
Rwanda | RWA | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.39999997615814 |  |  |  |  |  |  | 1
South Asia | SAS | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.14377840309671 |  |  |  |  |  | 10.43262293022863 |  |  |  |  | 9.732805929845938 |  |  |  |  | 9.88600111848155 |  | 10.4433960324767
Saudi Arabia | SAU | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 24.2999992370605 |  |  |  |  |  |  | 21.3999996185303 | 23 | 24.3999996185303 | 25.2000007629395 |  |  |  | 29.7000007629395 | 25.5 | 24.1000003814697 | 23.5 |  | 24 | 20.7999992370605
[NAME] | SCE | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Sudan | SDN | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21.2000007629395
Senegal | SEN | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.8999996185303
Singapore | SGP | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5 |  | 4.30000019073486 | 5.40000009536743 | 4.40000009536743 | 7.09999990463257 | 10 | 7.80000019073486 | 6.40000009536743 | 4.19999980926514 | 2.79999995231628
Solomon Islands | SLB | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 45.7999992370605
Sierra Leone | SLE | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.30000019073486
El Salvador | SLV | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 15 | 10 |  |  | 13.3999996185303 | 12.5 | 14.3000001907349 | 12.3999996185303 | 13.3999996185303 |  |  | 12.1000003814697 | 12.1999998092651 | 11.3000001907349 |  | 11.8999996185303 | 13 | 12.1999998092651 | 14.5 | 13.3999996185303 | 12.6000003814697 | 12.8000001907349
[NAME] | SMR | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Somalia | SOM | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Serbia | SRB | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 43.2000007629395 | 40.7000007629395 | 31
Sub-Saharan Africa (developing only) | SSA | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
South Sudan | SSD | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Sub-Saharan Africa (all income levels) | SSF | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Small states | SST | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Sao Tome and Principe | STP | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.80000019073486
Suriname | SUR | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 26.7000007629395 |  | 29.2000007629395 | 29 |  | 34.7999992370605 | 29.7999992370605 |  | 25 |  |  |  | 23.8999996185303
Slovak Republic | SVK | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 28 | 26 | 20.6000003814697 | 22.7000007629395 | 26.6000003814697 | 35.2999992370605 | 39.7000007629395 | 41.7999992370605 | 38.9000015258789 | 34.2999992370605 | 34.2000007629395 | 30.7000007629395 | 26.2999992370605 | 20.2999992370605 | 18.1000003814697 | 27.8999996185303 | 34.7000007629395 | 33 | 35
Slovenia | SVN | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 25.1000003814697 |  | 36.7000007629395 | 21.2000007629395 | 18.1000003814697 | 16.6000003814697 | 14.1000003814697 | 17 | 17.1000003814697 | 14.8000001907349 | 15 | 15 | 15.6000003814697 | 13.8999996185303 | 14.5 | 11.6000003814697 | 9.39999961853027 | 9.89999961853027 | 13.8000001907349 | 15.1999998092651 | 15 | 20.2999992370605
Sweden | SWE | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.69999980926514 | 7.30000019073486 | 8.89999961853027 | 9.60000038146973 | 7.59999990463257 | 7.5 | 6.69999980926514 | 5.19999980926514 | 4 | 3.90000009536743 | 4.80000019073486 | 8.5 | 16.2000007629395 | 26.1000003814697 | 25.2000007629395 | 20.6000003814697 | 21.6000003814697 | 21.7999992370605 | 17.2999992370605 | 14.8000001907349 | 11.8000001907349 | 12.6000003814697 | 13.3000001907349 | 14.1999998092651 | 17.2999992370605 | 22.2999992370605 | 20.6000003814697 | 18.6000003814697 | 19.6000003814697 | 26.1000003814697 | 25.8999996185303 | 23.2999992370605 | 25
Swaziland | SWZ | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 44.2000007629395 |  | 41.7000007629395
Sint Maarten (Dutch part) | SXM | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Seychelles | SYC | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.3000001907349 |  |  |  | 24.2999992370605 |  |  |  |  |  |  |  |  | 18
Syrian Arab Republic | SYR | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9 | 8.39999961853027 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21.3999996185303 | 15.6000003814697 |  |  | 12.6999998092651 | 13.1000003814697 | 17.2000007629395 | 12.1000003814697 | 15.3000001907349
Turks and Caicos Islands | TCA | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Chad | TCD | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Togo | TGO | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Thailand | THA | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.79999995231628 |  | 3.59999990463257 |  | 7.80000019073486 |  |  | 9.10000038146973 | 5 | 2.20000004768372 | 4.30000019073486 |  |  |  | 2.59999990463257 |  | 2.59999990463257 | 2.5 | 8.19999980926514 | 8.30000019073486 | 7 | 7.90000009536743 |  | 4.90000009536743 | 4.59999990463257 | 4.90000009536743 | 4.40000009536743 | 4.59999990463257 | 4.80000019073486 | 5.09999990463257 | 3.70000004768372 | 2.5 | 2.5
Tajikistan | TJK | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19.2000007629395
Turkmenistan | TKM | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Timor-Leste | TLS | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 20.8999996185303 |  |  |  |  |  | 15.3000001907349 |  |  | 10.3999996185303
Tonga | TON | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 32 |  |  |  |  |  |  | 9.89999961853027
Trinidad and Tobago | TTO | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 18 |  | 19.2000007629395 |  | 28.8999996185303 | 31.2000007629395 | 37.5999984741211 | 37.4000015258789 | 36.9000015258789 | 33.0999984741211 | 29.2999992370605 |  | 29.6000003814697 |  | 28.2999992370605 | 23.5 |  | 23.2999992370605 | 21.8999996185303 | 20.2999992370605 |  | 17.3999996185303 |  |  | 12.8999996185303 | 10 | 9.30000019073486 | 8.80000019073486
Tunisia | TUN | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 31 |  |  |  |  |  |  |  | 33.2999992370605 |  |  |  |  |  |  |  | 31.3999996185303
Turkey | TUR | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 17.2000007629395 | 16.8999996185303 | 16.6000003814697 | 17.5 | 17.8999996185303 | 18.7000007629395 | 17.5 | 16.8999996185303 | 14.8000001907349 | 14 | 14.8999996185303 | 15.6000003814697 | 13.6999998092651 | 17.2000007629395 | 20.2999992370605 | 21.5 | 20.5 | 19.5 | 18.2999992370605 | 19.6000003814697 | 20.1000003814697 | 25.3999996185303 | 21 | 17.1000003814697 | 16.2999992370605
Tuvalu | TUV | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Tanzania | TZA | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.69999980926514 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.40000009536743
Uganda | UGA | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.70000004768372
Ukraine | UKR | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 15.8999996185303 | 15.1999998092651 |  |  |  | 19.7999992370605 | 17.7999992370605 | 18.6000003814697 | 18.1000003814697
Upper middle income | UMC | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Uruguay | URY | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 20.7000007629395 | 21.2000007629395 | 20.5 | 19.7000007629395 | 20 | 21.2999992370605 | 17.7999992370605 |  | 20.3999996185303 |  | 26.6000003814697 | 28.7000007629395 |  | 34.0999984741211 |  | 25.3999996185303 | 22.3999996185303 | 20.2000007629395 | 16.8999996185303 |  | 16.7000007629395 | 15.1000003814697 | 14.6999998092651
United States | USA | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.6000003814697 | 15.6999998092651 | 19.1000003814697 | 18.3999996185303 | 14.3999996185303 | 14.1000003814697 | 13.6999998092651 | 12.6000003814697 | 11.3999996185303 | 11.3999996185303 | 11.6000003814697 | 14.3000001907349 | 15.3000001907349 | 14.3000001907349 | 13.1999998092651 | 12.5 | 12.6000003814697 | 11.8000001907349 | 11.1000003814697 | 10.3000001907349 | 9.69999980926514 | 11.3999996185303 | 12.8000001907349 | 13.3999996185303 | 12.6000003814697 | 12.3999996185303 | 11.1999998092651 | 11.6000003814697 | 14.3999996185303 | 20.1000003814697 | 20.7999992370605 | 18.7000007629395 | 17.6000003814697
Uzbekistan | UZB | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
St. Vincent and the Grenadines | VCT | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 40.7000007629395 |  |  |  |  |  |  |  |  |  |  | 32.7000007629395 |  |  |  |  |  |  |  |  |  | 39.7999992370605 |  |  |  |  |  |  | 27.7999992370605
Venezuela, RB | VEN | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 20.8999996185303 |  |  |  | 15.1000003814697 |  | 20.2000007629395 | 16.3999996185303 | 18.6000003814697 | 22.2000007629395 | 22.2999992370605 | 19.6000003814697 | 24.3999996185303 | 23.7000007629395 |  |  | 14.3000001907349 | 12.6999998092651 | 12.3000001907349 | 13.8000001907349 | 15.6000003814697 | 15.1000003814697 | 14.3000001907349
Virgin Islands (U.S.) | VIR | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Vietnam | VNM | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.40000009536743 | 5.19999980926514 | 4.30000019073486 | 4.90000009536743 | 5 | 4.69999980926514 | 4.09999990463257 | 4.5 | 4.40000009536743 |  |  |  |  |  |  |  | 4.59999990463257
[NAME] | VUT | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
West Bank and Gaza | PSE | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 35.4000015258789 | 42.5999984741211 |  | 38.9000015258789 |  | 34.4000015258789 | 34 | 38.7999992370605 | 37.2000007629395 | 36.7999992370605 | 32.0999984741211 | 34.5
World | WLD | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Samoa | WSM | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.6000003814697 |  |  |  |  | 3 |  |  |  |  | 13.8000001907349
Yemen, Rep. | YEM | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 20.2000007629395 |  |  |  |  | 20.5 |  |  |  |  | 23.3999996185303 |  |  |  |  |  | 26
South Africa | ZAF | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.2999992370605 | 42.2000007629395 | 42.0999984741211 | 47.0999984741211 | 48.5999984741211 | 51.2999992370605 | 45.5999984741211 | 42.7000007629395 | 41.5 | 41.0999984741211 | 41.4000015258789 | 44.5 | 47.2000007629395 | 45.4000015258789 | 47.0999984741211
Congo, Dem. Rep. | COD | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS
Zambia | ZMB | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 20.7000007629395 |  |  |  |  |  |  |  |  |  | 23.1000003814697
Zimbabwe | ZWE | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.6000003814697 |  |  |  | 15.6000003814697 | 15.6000003814697 |  |  |  |  | 45.5999984741211 |  |  |  |  | 20.7000007629395 |  | 17 |  |  | 28.2000007629395 |  | 7.59999990463257