Spreadsheet: 819f87b6-7ce6-40b9-9e11-4cbe4f95a007
Sheet: Sheet1

Data Source | World Development Indicators | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11 | Unnamed: 12 | Unnamed: 13 | Unnamed: 14 | Unnamed: 15 | Unnamed: 16 | Unnamed: 17 | Unnamed: 18 | Unnamed: 19 | Unnamed: 20 | Unnamed: 21 | Unnamed: 22 | Unnamed: 23 | Unnamed: 24 | Unnamed: 25 | Unnamed: 26 | Unnamed: 27 | Unnamed: 28 | Unnamed: 29 | Unnamed: 30 | Unnamed: 31 | Unnamed: 32 | Unnamed: 33 | Unnamed: 34 | Unnamed: 35 | Unnamed: 36 | Unnamed: 37 | Unnamed: 38 | Unnamed: 39 | Unnamed: 40 | Unnamed: 41 | Unnamed: 42 | Unnamed: 43 | Unnamed: 44 | Unnamed: 45 | Unnamed: 46 | Unnamed: 47 | Unnamed: 48 | Unnamed: 49 | Unnamed: 50 | Unnamed: 51 | Unnamed: 52 | Unnamed: 53 | Unnamed: 54 | Unnamed: 55 | Unnamed: 56 | Unnamed: 57
Country Name | Country Code | Indicator Name | Indicator Code | 1960 | 1961 | 1962 | 1963 | 1964 | 1965 | 1966 | 1967 | 1968 | 1969 | 1970 | 1971 | 1972 | 1973 | 1974 | 1975 | 1976 | 1977 | 1978 | 1979 | 1980 | 1981 | 1982 | 1983 | 1984 | 1985 | 1986 | 1987 | 1988 | 1989 | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013
Aruba | ABW | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.8999996185303 |  |  | 8.89999961853027 |  |  | 16.7000007629395 |  |  |  |  |  |  |  |  |  | 23.5
Andorra | AND | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
Afghanistan | AFG | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
Angola | AGO | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
Albania | ALB | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.5999984741211 |  |  |  |  |  | 22.7999992370605 | 25.5 | 21.6000003814697 | 23.7999992370605
Arab World | ARB | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
United Arab Emirates | ARE | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.40000009536743 |  |  |  |  |  |  |  |  |  | 6.5 |  |  | 7.90000009536743
Argentina | ARG | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12
[NAME] and [NAME] | ATG | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 18.3999996185303
Australia | AUS | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1
Belgium | BEL | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.5 |  |  |  |  |  |  |  |  |  | 1.10000002384186
[NAME] | BFA | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.09999990463257 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.59999990463257
Bangladesh | BGD | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 22.3999996185303 |  |  |  |  |  |  |  |  |  | 17.2000007629395 |  |  | 25.7000007629395 |  |  |  |  |  | 2.5
Bahamas, The | BHS | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.3999996185303
Belize | BLZ | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.3000001907349
Bolivia | BOL | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS
Bhutan | BTN | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS
Central African Republic | CAF | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
Canada | CAN | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS
Europe and Central Asia (IFC classification) | CEU | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
Switzerland | CHE | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS
Chile | CHL | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS
Cote d'Ivoire | CIV | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
Latin America and the Caribbean (IFC classification) | CLA | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
Middle East and North Africa (IFC classification) | CME | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
Cameroon | CMR | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
Congo, Rep. | COG | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
Colombia | COL | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS
Cabo Verde | CPV | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 40.7000007629395
Costa Rica | CRI | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS
Caribbean small states | CSS | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 23.33083592614233 | 22.28999315856985 | 21.68233264148318 | 24.69300169452105 |  | 25.7029268094039 | 23.32492887076502 |  | 23.07506686470423 | 22.2966762910709 |  |  | 21.36747494182009
Cuba | CUB | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.5 |  | 3.29999995231628 | 3.79999995231628 | 2.79999995231628
[NAME] | CUW | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
Cayman Islands | CYM | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.1999998092651 | 10.8999996185303 | 13.6000003814697
Cyprus | CYP | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS
Dominica | DMA | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.6000003814697 |  |  |  |  |  |  |  | 36.2999992370605 |  | 34.2000007629395 |  | 26.2000007629395
Denmark | DNK | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 42.7999992370605 |  |  |  |  | 19 | 18.7000007629395 | 19.1000003814697
East Asia & Pacific (developing only) | EAP | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
East Asia & Pacific (all income levels) | EAS | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
Europe & Central Asia (developing only) | ECA | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19.56421127857754 |  |  |  |  | 21.26088995299624 | 20.34664661373716 | 18.74558084881118 | 17.86649021661297
Europe & Central Asia (all income levels) | ECS | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 16.80578748724634 | 19.04792293377099 | 20.12140554829381 | 19.58506983242783 | 19.42974880232161 | 19.7903646119936 | 20.16751949251695 | 19.45063247405032 | 18.1631236770566 | 18.05483510733426 | 18.36542809922944 | 18.74015428914129 | 18.53283886641464 | 18.06219798546027 | 17.90088604036136 | 16.73264295984189 | 16.09588196133346 | 20.54309702590129 | 20.43494780239981 | 19.88341986067311 | 20.92218208653061
Ecuador | ECU | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21.49976244277806 |  | 24.82259492167177 |  | 23.26387250361822 | 21.64791461435676 | 19.06222650926749 | 18.01802744766848 | 15.1736364353372 | 16.53277492817978 | 20.67670501085783 | 22.5619964800698 | 21.26751889599119 | 21.72576964044135 | 21.46165957269125 | 19.95239675777065 | 19.03189632737766 | 16.98847711122195 | 15.29273011045692 | 16.31950124450065 | 16.73310224279464 | 17.43355490112927 | 17.58122469861526 | 16.3042700172379 | 14.8742044636575 | 15.82169382177683 | 21.24382431611633 | 22.13159249521352 | 22.51125604962803 | 25.67185688330775
Eritrea | ERI | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
Spain | ESP | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.89999997615814 |  |  |  |  |  |  |  |  |  |  |  |  | 28.2999992370605 | 4.09999990463257 | 19.5
European Union | EUU | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 15.04388880804427 | 18.00347165979156 | 21.18454821095484 | 22.48835148958581 | 20.91492514322522 | 20.92541709083863 | 19.98719838662235 | 18.95336545007658 | 19.15584233537295 | 18.5605559764743 | 18.41682760673225 | 19.42545449513143 | 19.23441032674352 | 19.56154689151703 | 19.42606918039608 | 17.79914016191215 | 15.7134956857562 | 15.81168927831408 | 21.43437439441171 | 22.40315515899087 | 22.81670724490085 | 25.15800774059955
Finland | FIN | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.6999998092651 |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.3000001907349 |  |  |  |  |  |  |  |  |  |  | 14.8000001907349
France | FRA | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.90000009536743
Micronesia, Fed. [NAME]. | FSM | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
Gabon | GAB | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.7000007629395
United Kingdom | GBR | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.8000001907349 |  |  |  |  |  |  | 12.6999998092651 | 16.3999996185303
Guinea | GIN | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
Gambia, The | GMB | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
Guinea-Bissau | GNB | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
Equatorial Guinea | GNQ | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
Greece | GRC | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 27.5 |  |  | 32.0999984741211 |  | 19.2999992370605 |  | 25.3999996185303
Greenland | GRL | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
Guatemala | GTM | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.69999980926514 | 4.5
Guam | GUM | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 17.2000007629395 |  |  |  |  | 20.7999992370605 |  |  |  |  |  |  |  |  |  | 20.6000003814697
High income | HIC | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 16.32443680258128 | 16.37836585579232 | 15.84331619120466 | 14.72038712281133 | 13.46410635140866 | 12.27634230407752 | 12.25403617014641 | 13.20269452443446 | 14.60212773437191 | 15.70764406487804 | 15.97826727856031 | 15.53501885953486 | 15.85732225316602 | 16.10048181758631 | 16.78392994594095 | 16.28562413401689 | 15.1550122395499 | 15.24216494581452 | 15.60917173787141 | 15.99082125412742 | 15.53170828207115 | 15.05716994764445 | 14.56778939603698 | 13.51632578628549 | 14.04705873975706 | 18.88460081339328 | 18.88905028952772 | 18.19053163990214 | 18.51969924078252
Hong Kong SAR, China | HKG | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS
Croatia | HRV | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 22.7999992370605 |  |  |  |  | 49.2000007629395 |  | 23 |  |  |  |  |  |  |  |  | 15.1000003814697
Hungary | HUN | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.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
Isle of Man | IMN | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9 |  |  |  |  | 9.60000038146973 |  |  |  |  | 4.90000009536743 |  |  |  |  | 9.5
India | IND | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.30000019073486 |  |  |  |  |  | 10.1000003814697 |  |  |  |  | 9.80000019073486 |  |  |  |  | 9.80000019073486 |  | 10.3999996185303
Not classified | INX | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
Ireland | IRL | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21.2000007629395 |  | 20 | 20.2000007629395
Iraq | IRQ | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
Iceland | ISL | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS
Kyrgyz Republic | KGZ | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19.2999992370605 |  | 13.5 | 13.3000001907349 | 13.6000003814697
Cambodia | KHM | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.3000001907349 |  |  |  |  |  |  |  |  |  | 3.5
Kiribati | KIR | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
St. Kitts and Nevis | KNA | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
Korea, Rep. | KOR | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.30000019073486 |  |  |  |  |  |  |  |  |  |  |  | 15.6000003814697 |  |  |  |  |  |  |  |  |  | 11.8000001907349
Latin America & Caribbean (developing only) | LAC | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9.672252555041286 | 10.52065200252848 |  | 10.79653388166084 | 13.32214929359674 | 12.45853432212836 | 13.67207497398843 | 14.43598316768658 | 15.75344295260265 | 13.12188613339478 | 12.18347196466179 | 15.18957570507051 | 13.45222641467316 | 13.0956164159743 | 12.36510349287346 | 11.74960327635524 | 11.06655624560185 | 13.14600893919728 |  | 12.12406232405864
Lao PDR | LAO | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.40000009536743
Lebanon | LBN | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 20.2999992370605 |  |  | 22.2999992370605 |  | 14.6000003814697
Liberia | LBR | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.69999980926514 |  |  | 3.40000009536743
Libya | LBY | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
St. Lucia | LCA | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.01162243451445 | 10.84139658994744 |  | 11.08282953542605 | 13.50595616497661 | 12.59499419861571 | 13.82259748971452 | 14.68929587186155 | 16.00442225544407 | 13.43094796638393 | 12.58509916282758 | 15.46917971617137 | 13.67918094096381 | 13.38395198421398 | 12.61755281724565 | 12.00271585668299 | 11.41497599916279 | 13.54046153864812 |  | 12.3613047967287
Least developed countries: UN classification | LDC | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
Low income | LIC | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
[NAME] | LIE | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
[NAME] | LKA | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.11335913026858 |  |  |  |  | 13.58031974557431
Low & middle income | LMY | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
[NAME] | LSO | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 37.9000015258789 |  | 25.7999992370605 |  |  |  |  |  |  |  |  | 29
Lithuania | LTU | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS
Morocco | MAR | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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
Monaco | MCO | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.59999990463257
Moldova | MDA | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.69999980926514 |  | 1.70000004768372
Maldives | MDV | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.39999997615814 |  |  |  |  | 4 |  |  |  |  |  | 15.5
Middle East & North Africa (all income levels) | MEA | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 18.95591066784674 | 18.83044206267955
Mexico | MEX | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS
Middle income | MIC | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
Macedonia, FYR | MKD | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS
Malta | MLT | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS
Middle East & North Africa (developing only) | MNA | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 18.49564909705263
Montenegro | MNE | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 32.4000015258789 | 32 | 35.4000015258789 | 44.5 | 35.5 | 42.2999992370605
Mongolia | MNG | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.1999998092651
Mozambique | MOZ | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
Mauritania | MRT | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
[NAME] | MUS | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.5
Malaysia | MYS | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.47585735835223 | 15.49248888319842 | 19.266285518369 | 18.75286428853045 | 14.8861691527265 | 14.45988900324795 | 13.9549609854445 | 12.77207564315915 | 11.50033477316009 | 11.47997662176905 | 11.78893572594609 | 14.71553793998408 | 15.73369304244764 | 14.83100512947139 | 13.66109299535924 | 12.87130701832763 | 13.01911787297771 | 12.31471068140991 | 11.63116726387924 | 10.7799157754216 | 10.09133872736689 | 11.69473532196165 | 13.04598327719252 | 13.58862824443341 | 12.81643337570611 | 12.56932424477726 | 11.35995256647953 | 11.66616590193741 | 14.27641023204327 | 19.89942199211294 | 20.4462286522452 | 18.43320914995594 | 17.43902267366415
Namibia | NAM | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS
[NAME] | NER | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4
Nigeria | NGA | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.5
Nicaragua | NIC | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.82040631734479 | 14.05899671804784 | 15.13942477078286 | 17.68637794340226 | 18.47696107699907 | 22.71612237238999 | 26.09647663475026 | 22.53583216207143 | 20.00013835215025 | 18.96534134966346 | 16.77181143066211 | 17.44795333996656 | 16.62505158303489 | 14.80691540115639 | 17.76052062345334 | 16.05632965158339 | 14.62510161734636 | 19.70739933107867 | 17.75825463554236 | 17.40975750874541 | 16.81152769515177
Norway | NOR | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4
New Zealand | NZL | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 16.90377413905439 | 16.93673506567434 | 16.33135456077536 | 16.34078832750291 | 15.77597534757214 | 14.66205393045977 | 13.40811971292925 | 12.33779433379583 | 12.18288610795764 | 12.96067880211007 | 14.5613914618678 | 15.9830211867178 | 16.11579452675218 | 15.15009103956625 | 15.38430824442747 | 14.89690562894036 | 14.96192979626687 | 14.97644892894849 | 14.05487297119818 | 14.38306200883301 | 15.33413494919958 | 15.68497409835095 | 15.30424735911063 | 15.11236205082885 | 13.79435640939382 | 12.90211641741314 | 13.9019560432899 | 18.69983483618601 | 19.10201665479032 | 18.3622200909321 | 18.87663266796116
OECD members | OED | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 16.93673506567433 | 16.33135456077535 | 16.3407883275029 | 15.77597534757214 | 14.66205393045977 | 12.48018106218988 | 12.68817713784579 | 12.52865881067013 | 12.36180021966818 | 13.75352075634218 | 14.9858328778392 | 15.16848462672825 | 14.62063970609584 | 14.44945369354104 | 13.73600503676077 | 13.78784610833094 | 13.55355647715427 | 12.85961614036141 | 13.29898678834811 | 14.42501651980105 | 14.84265226328421 | 14.58175436479891 | 14.40256325219346 | 13.16243129304155 | 12.6288741334693 | 13.46167273467129 | 18.15412831372759 | 18.03373157328973 | 17.19399561001829 | 17.47501321234305
Oman | OMN | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
Other small states | OSS | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
Pakistan | PAK | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.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 |  | 15.1999998092651
Palau | PLW | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
[NAME] | PNG | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
Poland | POL | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS
Portugal | PRT | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS
French Polynesia | PYF | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 32 |  |  |  |  |  | 32.2000007629395 |  |  |  |  | 31.3999996185303
Qatar | QAT | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.699999988079071 |  |  |  | 0.400000005960464
Romania | [NAME] | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.39999997615814 |  |  |  |  |  |  | 1
South Asia | SAS | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.143778402772048 |  |  |  |  |  | 10.43262293552816 |  |  |  |  | 9.732805927642389 |  |  |  |  | 9.886001122259962 |  | 10.44339603165298
Saudi Arabia | SAU | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 24.2999992370605 |  |  |  |  |  |  | 21.3999996185303 | 23 | 24.3999996185303 | 25.2000007629395 |  |  |  | 29.7000007629395 | 25.5 | 24.1000003814697 | 23.5 |  | 24 | 20.7999992370605
Sudan | SDN | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21.2000007629395
Senegal | SEN | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.8999996185303
Singapore | SGP | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 45.7999992370605
Sierra Leone | SLE | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.30000019073486
El Salvador | SLV | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS
Somalia | SOM | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
Serbia | SRB | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 43.2000007629395 | 40.7000007629395 | 31
Sub-Saharan Africa (developing only) | SSA | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
South Sudan | SSD | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
Sub-Saharan Africa (all income levels) | SSF | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
Small states | SST | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
Sao Tome and Principe | STP | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.80000019073486
Suriname | SUR | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 44.2000007629395 |  | 41.7000007629395
Sint Maarten (Dutch part) | SXM | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
Seychelles | SYC | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.3000001907349 |  |  |  | 24.2999992370605 |  |  |  |  |  |  |  |  | 18
Syrian Arab Republic | SYR | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS
Chad | TCD | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
Togo | TGO | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
Thailand | THA | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19.2000007629395
Turkmenistan | TKM | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS
Timor-Leste | TLS | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 20.8999996185303 |  |  |  |  |  | 15.3000001907349 |  |  | 10.3999996185303
Tonga | TON | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 32 |  |  |  |  |  |  | 9.89999961853027
Trinidad and Tobago | TTO | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 31 |  |  |  |  |  |  |  | 33.2999992370605 |  |  |  |  |  |  |  | 31.3999996185303
Turkey | TUR | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS
Tanzania | TZA | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.69999980926514 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.40000009536743
Uganda | UGA | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.70000004768372
Ukraine | UKR | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS
Uruguay | URY | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS
St. Vincent and the Grenadines | VCT | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 40.7000007629395 |  |  |  |  |  |  |  |  |  |  | 32.7000007629395 |  |  |  |  |  |  |  |  |  | 39.7999992370605 |  |  |  |  |  |  | 27.7999992370605
Venezuela, RB | VEN | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS
Vietnam | VNM | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS
West Bank and Gaza | PSE | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS
Samoa | WSM | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.6000003814697 |  |  |  |  | 3 |  |  |  |  | 13.8000001907349
Yemen, Rep. | YEM | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 20.2000007629395 |  |  |  |  | 20.5 |  |  |  |  | 23.3999996185303 |  |  |  |  |  | 26
South Africa | ZAF | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.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) | SL.UEM.1524.MA.ZS
Zambia | ZMB | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 20.7000007629395 |  |  |  |  |  |  |  |  |  | 23.1000003814697
Zimbabwe | ZWE | Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.6000003814697 |  |  |  | 15.6000003814697 | 15.6000003814697 |  |  |  |  | 45.5999984741211 |  |  |  |  | 20.7000007629395 |  | 17 |  |  | 28.2000007629395 |  | 7.59999990463257