Spreadsheet: 36f38143-514e-452a-bf13-e24c8568f049
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, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.90000009536743 |  |  | 5.59999990463257 |  |  | 6.80000019073486 |  |  | 6.5 | 6.5 |  |  |  |  |  | 5
Andorra | AND | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Afghanistan | AFG | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.59999990463257
Angola | AGO | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Albania | ALB | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 18.7999992370605 |  |  |  |  |  | 14.3999996185303 | 12.5 | 12.1999998092651 | 12.8000001907349
Arab World | ARB | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.92711803488574 |  |  |  | 13.40074899880699 |  | 8.979730221763182 | 8.010374141413081 | 8.483048669893394 | 6.54858439866275
United Arab Emirates | ARE | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.70000004768372 |  |  |  |  | 2.20000004768372 |  |  |  |  | 2.5 |  |  | 2 | 2.40000009536743
Argentina | ARG | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.5 | 5.30000019073486 | 7 | 7.30000019073486 | 5.59999990463257 | 6.40000009536743 | 8.5 | 10.6999998092651 | 16.5 | 15.8000001907349 | 13 | 11.8999996185303 | 13.3000001907349 | 14.1000003814697 | 18.7000007629395 | 18 | 14.1000003814697 | 11.1999998092651 | 9.19999980926514 | 8.39999961853027 | 6.69999980926514 | 6.5 | 7.80000019073486 | 6.59999990463257 | 6.19999980926514 | 6.09999990463257
Armenia | ARM | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 38 |  |  |  | 31.8999996185303 |  |  |  |  |  | 21.8999996185303 | 14.3999996185303 | 17.7999992370605 | 17 | 17.2999992370605
American Samoa | ASM | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.59999990463257 |  |  |  |  |  |  |  |  |  | 4.90000009536743
[NAME] and [NAME] | ATG | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8
Australia | AUS | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.09999990463257 | 4.80000019073486 | 6.40000009536743 | 9.69999980926514 | 8.69999980926514 | 7.90000009536743 | 7.69999980926514 | 7.80000019073486 | 6.80000019073486 | 5.69999980926514 | 6.69999980926514 | 9.89999961853027 | 11.3999996185303 | 11.5 | 10 | 8.80000019073486 | 8.80000019073486 | 8.69999980926514 | 8 | 7.09999990463257 | 6.5 | 7 | 6.5 | 5.90000009536743 | 5.30000019073486 | 4.90000009536743 | 4.69999980926514 | 4 | 4 | 5.69999980926514 | 5.09999990463257 | 4.90000009536743 | 5.19999980926514
Austria | AUT | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.79999995231628 | 3.5 | 3.90000009536743 | 3.59999990463257 | 3.20000004768372 | 3.59999990463257 | 3.29999995231628 | 2.79999995231628 | 3 | 3.29999995231628 | 3.5 | 4.09999990463257 | 3.20000004768372 | 3.09999990463257 | 3.90000009536743 | 3.90000009536743 | 3.90000009536743 | 3.59999990463257 | 3.29999995231628 | 3.40000009536743 | 4.09999990463257 | 4.30000019073486 | 4.5 | 4.90000009536743 | 4.30000019073486 | 3.90000009536743 | 3.59999990463257 | 5 | 4.59999990463257 | 4 | 4.30000019073486
Azerbaijan | AZE | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.1999998092651 | 10.8999996185303 | 10.3000001907349 | 9.69999980926514 | 9.10000038146973 | 7.90000009536743 | 7.19999980926514 | 6.90000009536743 | 7.09999990463257 | 6.09999990463257 | 4.90000009536743 | 4.40000009536743 | 4.5 | 4.30000019073486
Burundi | BDI | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.699999988079071
Belgium | BEL | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.10000038146973 | 8 | 7.40000009536743 | 7.09999990463257 | 7.30000019073486 | 6.90000009536743 | 5.30000019073486 | 4.59999990463257 | 4.59999990463257 | 4.80000019073486 | 6.19999980926514 | 7.69999980926514 | 7.30000019073486 | 7.40000009536743 | 7.09999990463257 | 7.59999990463257 | 7.5 | 5.30000019073486 | 5.59999990463257 | 6.69999980926514 | 7.59999990463257 | 7.5 | 7.59999990463257 | 7.40000009536743 | 6.69999980926514 | 6.5 | 7.69999980926514 | 8.10000038146973 | 7.09999990463257 | 7.69999980926514
Benin | [NAME] | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.200000002980232 |  |  |  |  |  | 2.20000004768372 |  |  |  |  |  |  |  |  |  | 0.899999976158142
[NAME] | BFA | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.89999997615814 |  |  |  |  |  |  |  |  |  |  |  |  | 2.29999995231628 |  |  |  |  |  |  |  | 2.90000009536743
Bangladesh | BGD | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.60000002384186 | 1.39999997615814 | 0.800000011920929 |  |  | 1 |  | 2 |  |  |  |  | 2.70000004768372 |  |  |  | 3.20000004768372 |  |  | 4.19999980926514 |  | 3.40000009536743 |  |  |  | 4.19999980926514
Bulgaria | BGR | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 20.8999996185303 | 20 | 15.5 | 13.5 | 13.8999996185303 | 12.6000003814697 | 14 | 16.6000003814697 | 20.8999996185303 | 18.7999992370605 | 14.1999998092651 | 12.3999996185303 | 10.3000001907349 | 8.60000038146973 | 6.5 | 5.5 | 7 | 10.8999996185303 | 12.3000001907349 | 13.5
Bahrain | BHR | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.19999980926514 |  |  |  |  |  |  |  |  |  | 4.09999990463257 |  |  | 5.59999990463257 |  |  |  |  |  | 0.400000005960464
Bahamas, The | BHS | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9.69999980926514 |  | 8.19999980926514 | 11 |  | 12.1000003814697 | 13.8000001907349 | 12.8000001907349 | 12.6000003814697 | 10 | 8.60000038146973 | 8.30000019073486 | 5.69999980926514 | 5.5 |  | 6.69999980926514 | 8.69999980926514 | 10 | 9.5 | 9.30000019073486 | 7.19999980926514 | 6.69999980926514 | 7.69999980926514 | 14.3999996185303 |  | 13.6000003814697 | 14.1000003814697
Bosnia and Herzegovina | BIH | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 15.5 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 29.5 | 27.3999996185303 | 21.7999992370605 | 23 | 25.6000003814697 | 26 | 26.3999996185303
Belarus | BLR | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.5
Belize | BLZ | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.40000009536743 |  | 7.5 | 9 | 10 | 11.6000003814697 | 8.89999961853027 | 10.6000003814697 | 9 |  | 5.80000019073486 | 7.5 |  |  | 7.5 | 6.19999980926514 | 5.90000009536743
Bermuda | BMU | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.5 |  |  |  |  |  |  |  |  | 3.09999990463257
Bolivia | BOL | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21.1000003814697 | 22.7999992370605 | 22.7000007629395 |  | 22.2000007629395 | 21.1000003814697 | 6.19999980926514 | 5.5 | 6.5 | 3.40000009536743 | 3.29999995231628 | 4.90000009536743 | 3.70000004768372 |  | 3.70000004768372 | 3.90000009536743 | 4.59999990463257 | 4.19999980926514 |  | 3.59999990463257 | 4.5 | 4.59999990463257 | 4.5 | 2.20000004768372 | 2.59999990463257
Brazil | BRA | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.19999980926514 | 3.90000009536743 | 4.90000009536743 | 4.09999990463257 | 3.20000004768372 | 2.20000004768372 | 3.29999995231628 | 3.5 | 3 | 3.79999995231628 |  | 5.40000009536743 | 5.19999980926514 |  | 5.09999990463257 | 5.5 | 6.19999980926514 | 7.09999990463257 | 7.80000019073486 |  | 7.5 | 7.30000019073486 | 7.80000019073486 | 6.80000019073486 | 7.09999990463257 | 6.30000019073486 | 6 | 5.19999980926514 | 6.09999990463257 |  | 4.90000009536743
Barbados | BRB | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.60000038146973 | 7.40000009536743 | 10.1000003814697 | 11 | 13 | 14.1000003814697 | 13 | 13.1999998092651 | 12.6000003814697 | 9.10000038146973 | 10.3000001907349 | 13.5 | 20.6000003814697 | 22.3999996185303 | 18.3999996185303 | 16.6000003814697 | 11.6999998092651 | 11.3999996185303 | 8.39999961853027 | 7.69999980926514 | 7.5 | 8 | 8.60000038146973 | 9.5 | 8.89999961853027 | 7.30000019073486 | 7.59999990463257 | 6.40000009536743 | 6.80000019073486 | 10.1000003814697 | 10.8999996185303 | 9.80000019073486 | 10.8999996185303
[NAME] | BRN | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.70000004768372
Bhutan | BTN | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.39999997615814 | 1.20000004768372 |  | 1.29999995231628 |  | 1.60000002384186 | 1.89999997615814 | 2.90000009536743 | 2.59999990463257 |  |  | 2.59999990463257 | 2.70000004768372 | 1.79999995231628 | 1.89999997615814
Botswana | BWA | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19.7000007629395 |  |  |  |  |  | 11.6999998092651 |  |  | 19.7000007629395 |  | 19.3999996185303 |  | 18.3999996185303 |  | 14.6999998092651 | 15.6999998092651 |  | 21.3999996185303 |  |  | 15.3000001907349
Sub-Saharan Africa (IFC classification) | CAA | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Central African Republic | CAF | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Canada | CAN | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7 | 7.19999980926514 | 11.1999998092651 | 12.3000001907349 | 11.3999996185303 | 10.6000003814697 | 9.60000038146973 | 8.5 | 7.40000009536743 | 7.40000009536743 | 8.19999980926514 | 10.8000001907349 | 12 | 11.8999996185303 | 10.8999996185303 | 9.80000019073486 | 9.89999961853027 | 9.19999980926514 | 8.5 | 7.80000019073486 | 6.90000009536743 | 7.5 | 8.10000038146973 | 7.90000009536743 | 7.5 | 7 | 6.5 | 6.40000009536743 | 6.5 | 9.39999961853027 | 8.69999980926514 | 7.80000019073486 | 7.69999980926514
East Asia and the Pacific (IFC classification) | CEA | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Europe and Central Asia (IFC classification) | CEU | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Switzerland | CHE | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.70000004768372 | 1.20000004768372 | 2.29999995231628 | 3 | 3.5 | 2.90000009536743 | 3.40000009536743 | 4.30000019073486 | 3.20000004768372 | 2.59999990463257 | 2.29999995231628 | 1.70000004768372 | 2.79999995231628 | 3.79999995231628 | 3.90000009536743 | 3.90000009536743 | 3.40000009536743 | 2.90000009536743 | 2.79999995231628 | 3.79999995231628 | 4.19999980926514 | 3.70000004768372 | 3.90000009536743
Channel Islands | CHI | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Chile | CHL | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.6000003814697 | 11.8999996185303 | 20.2000007629395 | 14.6000003814697 | 13 | 11.6999998092651 | 8.30000019073486 | 7.30000019073486 | 5.59999990463257 | 5 | 5.69999980926514 | 5.09999990463257 | 3.90000009536743 | 4.19999980926514 | 5.40000009536743 | 4.40000009536743 | 5.59999990463257 | 5.40000009536743 | 5.69999980926514 | 9.39999961853027 | 8.69999980926514 | 8.89999961853027 | 8.60000038146973 | 7.90000009536743 | 7.90000009536743 | 7 | 6.69999980926514 | 6.30000019073486 | 6.80000019073486 | 9.10000038146973 | 7.19999980926514 | 6.09999990463257 | 5.40000009536743
China | CHN | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Cote d'Ivoire | CIV | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Latin America and the Caribbean (IFC classification) | CLA | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Middle East and North Africa (IFC classification) | CME | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Cameroon | CMR | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9.5 |  |  |  |  | 8.19999980926514 |  |  |  | 4.19999980926514 |  | 2.5 |  |  | 3.09999990463257
Congo, Rep. | COG | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Colombia | COL | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.5 |  |  |  |  |  | 10 | 8.19999980926514 |  | 6.80000019073486 | 8.10000038146973 | 7.69999980926514 | 6.80000019073486 | 5.80000019073486 | 5.40000009536743 | 6.80000019073486 | 9.5 | 9.69999980926514 | 12.5 | 17.2000007629395 | 12 | 12 | 12.6999998092651 | 10.6000003814697 | 11.3999996185303 | 9.19999980926514 | 8.60000038146973 | 8.60000038146973 | 8.80000019073486 | 9.30000019073486 | 9.39999961853027 | 8.69999980926514 | 8.10000038146973
Comoros | COM | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21.2999992370605
Cabo Verde | CPV | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 23.2999992370605
Costa Rica | CRI | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.30000019073486 | 8.19999980926514 | 8.60000038146973 | 8.80000019073486 | 5.19999980926514 | 6.5 | 6 | 4.69999980926514 | 4.30000019073486 | 3.20000004768372 | 4.09999990463257 | 4.69999980926514 | 3.5 | 3.59999990463257 | 3.5 | 4.59999990463257 | 5.30000019073486 | 4.90000009536743 | 4.40000009536743 | 5 | 4.30000019073486 | 5.19999980926514 | 5.59999990463257 | 5.80000019073486 | 5.40000009536743 | 5 | 4.30000019073486 | 3.20000004768372 | 4.09999990463257 | 6.59999990463257 | 6 | 6 | 6.19999980926514
South Asia (IFC classification) | CSA | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Caribbean small states | CSS | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.07210612153 | 11.25751964496703 | 12.32914652067209 | 13.3285572827568 | 12.14426177617646 | 11.89145517536436 | 10.79752878898393 | 10.82430237385629 | 10.04031414784267 | 9.974614800616811 |  | 9.529375161837777 | 9.114517104847744 | 8.52474967770793 | 7.976649352982946 | 7.327184183434946 | 6.43052632351483 | 5.356145507204977 | 6.386733761879388
Cuba | CUB | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.40000009536743 | 4.90000009536743 | 4.69999980926514 | 4.40000009536743 | 4.30000019073486 | 3.79999995231628 | 3.09999990463257 | 2.59999990463257 | 1.70000004768372 | 1.70000004768372 | 1.79999995231628 | 1.70000004768372 | 1.70000004768372 | 1.39999997615814 | 1.5 | 2.40000009536743 | 3
[NAME] | CUW | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Cayman Islands | CYM | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.30000019073486 |  |  |  |  |  | 3.20000004768372 |  |  |  |  |  |  |  |  | 2.5 | 3.5 | 3.79999995231628
Cyprus | CYP | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2 |  |  |  |  |  |  | 4.30000019073486 | 3.20000004768372 | 2.70000004768372 | 2.59999990463257 | 3.79999995231628 | 3.5 | 4.40000009536743 | 3.79999995231628 | 3.40000009536743 | 3.20000004768372 | 5.30000019073486 | 6.09999990463257 | 8.10000038146973 | 12.5
Czech Republic | CZE | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.40000009536743 |  | 3.40000009536743 | 3.59999990463257 | 3.40000009536743 | 3.29999995231628 | 3.90000009536743 | 5 | 7.30000019073486 | 7.30000019073486 | 6.80000019073486 | 5.90000009536743 | 6.09999990463257 | 7 | 6.5 | 5.80000019073486 | 4.19999980926514 | 3.5 | 5.80000019073486 | 6.40000009536743 | 5.80000019073486 | 6
Germany | DEU | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.5 | 5.30000019073486 | 6.59999990463257 | 7.19999980926514 | 7.19999980926514 | 8.30000019073486 | 9.19999980926514 | 8.69999980926514 | 8.10000038146973 | 7.5 | 7.80000019073486 | 8.69999980926514 | 9.60000038146973 | 10.5 | 11.3000001907349 | 10.3000001907349 | 8.5 | 7.40000009536743 | 8.10000038146973 | 7.5 | 6.19999980926514 | 5.59999990463257
Djibouti | DJI | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.9000015258789 |  |  |  |  |  |  |  |  |  |  | 54.5999984741211
Dominica | DMA | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.90000009536743 |  | 9.89999961853027 |  |  |  |  |  | 19.6000003814697 |  | 13.1000003814697 |  | 12
Denmark | DNK | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9.19999980926514 | 7.80000019073486 | 6.40000009536743 | 4.59999990463257 | 5.19999980926514 | 5.80000019073486 | 7.5 | 7.80000019073486 | 8.30000019073486 | 8.30000019073486 | 10.3999996185303 | 7.19999980926514 | 5.59999990463257 | 5.5 | 4.5 | 3.79999995231628 | 4.5 | 4 | 3.59999990463257 | 4.30000019073486 | 4.80000019073486 | 5.09999990463257 | 4.40000009536743 | 3.29999995231628 | 3.40000009536743 | 3.20000004768372 | 6.59999990463257 | 8.39999961853027 | 7.69999980926514 | 7.5
Dominican Republic | DOM | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.8000001907349 | 12 | 11.3999996185303 | 10.1999998092651 | 10.1999998092651 | 10.6000003814697 | 9.19999980926514 | 9.30000019073486 | 7.80000019073486 | 8.69999980926514 | 9.39999961853027 | 9.39999961853027 | 10.6000003814697 | 10.3999996185303 | 11.1000003814697 | 9.30000019073486 | 9.39999961853027 | 8.5 | 9.80000019073486 | 9.30000019073486 | 10.1000003814697
Algeria | DZA | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 17.2000007629395 |  | 21.7000007629395 | 24.2000007629395 |  |  | 26 |  | 25.2999992370605 |  |  | 29.7999992370605 |  |  | 23.3999996185303 | 19.7999992370605 | 14.8999996185303 | 11.8000001907349 | 12.8999996185303 | 10 | 8.60000038146973 | 8.10000038146973 | 8.39999961853027
East Asia & Pacific (developing only) | EAP | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
East Asia & Pacific (all income levels) | EAS | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Europe & Central Asia (developing only) | ECA | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9.916509982191819 | 9.283839359277408 | 10.34563471902931 | 10.29127180664126 | 9.78940848097686 | 9.769073336233248 | 9.05536177155569 | 9.087061230983878 | 9.009548631407887 | 8.85808949595001 | 11.14622048193177 | 10.37576448329943 | 9.387434570833106 | 8.855965005517504
Europe & Central Asia (all income levels) | ECS | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.526515565998349 | 8.832972989384128 | 9.579524120043851 | 9.11406302805853 | 9.242311774195546 | 9.610046837030735 | 9.542255981454181 | 9.557983902559407 | 8.696438062315986 | 8.454011398994462 | 8.506444572395694 | 8.595968328570367 | 8.566236445339563 | 8.184113004472959 | 7.769519875410564 | 7.011290650619925 | 6.977399024447522 | 9.415727536254396 | 9.376806663184718 | 8.895455570676823 | 9.122126926547109
Ecuador | ECU | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.19999980926514 | 5.09999990463257 | 5.90000009536743 | 4.30000019073486 | 4.09999990463257 | 6 | 6.19999980926514 | 5.80000019073486 | 5.5 | 8 | 6.90000009536743 | 8.39999961853027 | 10.8000001907349 | 6.19999980926514 | 6.69999980926514 | 5.80000019073486 | 9 | 6.5 | 5.59999990463257 | 5.30000019073486 | 5 | 5.59999990463257 | 5.19999980926514 | 4.09999990463257 | 3.29999995231628 | 3.70000004768372
Egypt, Arab Rep. | EGY | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.90000009536743 | 4.09999990463257 | 4.09999990463257 | 5.69999980926514 | 4.80000019073486 |  |  |  |  | 5.40000009536743 | 5.19999980926514 | 5.90000009536743 | 6.40000009536743 | 7.5 | 7.40000009536743 | 7.59999990463257 | 6.90000009536743 | 5.19999980926514 | 5.09999990463257 | 5.09999990463257 | 5.09999990463257 | 5.80000019073486 | 6.30000019073486 | 6.5 | 6.80000019073486 | 7.09999990463257 | 6.80000019073486 | 5.90000009536743 | 5.59999990463257 | 5.19999980926514 | 4.90000009536743 | 8.89999961853027 | 9.30000019073486
Euro area | EMU | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.98678159738591 | 6.497215452407518 | 7.138257907218772 | 8.92238588327159 | 9.779759718217036 | 9.386511773962651 | 9.652021519375154 | 9.689750321341853 | 9.06406203292396 | 8.453613290940833 | 7.559939580181265 | 6.893573616539586 | 7.394448395960765 | 7.745463371892432 | 8.05046323760737 | 8.02643702371783 | 7.35017916835939 | 6.555895753533806 | 6.77160882153077 | 9.174155341269605 | 9.752498711726895 | 9.772804371025254 | 11.06906735353538
Eritrea | ERI | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Spain | ESP | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.3999996185303 | 12.6999998092651 | 14.1999998092651 | 15.3999996185303 | 18.1000003814697 | 19.2999992370605 | 18.6000003814697 | 16.2999992370605 | 14.5 | 12.5 | 11.6000003814697 | 11.8000001907349 | 13.8999996185303 | 18.5 | 19.2999992370605 | 17.7999992370605 | 17.2000007629395 | 15.6999998092651 | 13.5 | 10.8999996185303 | 9.5 | 7.40000009536743 | 8 | 8.19999980926514 | 8.19999980926514 | 7 | 6.30000019073486 | 6.40000009536743 | 10.1000003814697 | 17.7000007629395 | 19.7000007629395 | 21.2000007629395 | 24.7000007629395
Estonia | EST | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.600000023841858 | 1.39999997615814 | 3.90000009536743 | 6.5 | 7.30000019073486 | 10.5 | 10.6000003814697 | 11.1999998092651 | 10.3999996185303 | 12.8999996185303 | 14.6000003814697 | 11.8000001907349 | 10.3000001907349 | 11 | 11.3000001907349 | 8.80000019073486 | 6.19999980926514 | 5.40000009536743 | 5.80000019073486 | 16.8999996185303 | 19.5 | 13.1000003814697 | 11
Ethiopia | ETH | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1 |  |  |  |  |  |  | 1.10000002384186 |  |  | 3 |  |  |  |  | 4.40000009536743 |  |  |  |  | 15.8000001907349 | 2.70000004768372 | 11.6999998092651
European Union | EUU | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.819132037452749 | 8.286997630804677 | 9.90832047311001 | 10.19525654860214 | 9.533357523362756 | 9.56851783472492 | 9.18811949621811 | 8.60866988385247 | 8.472357491429559 | 8.08371445253312 | 7.757173765357245 | 8.230670612190881 | 8.299966362696347 | 8.445068235069892 | 8.22320246442283 | 7.525573812804666 | 6.544179953511942 | 6.488338015069572 | 8.924807476757401 | 9.564002980476644 | 9.47600800715961 | 10.36175101200553
Finland | FIN | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.59999990463257 | 5.09999990463257 | 5.5 | 5.69999980926514 | 5.19999980926514 | 5.59999990463257 | 6 | 5.90000009536743 | 5.09999990463257 | 3.20000004768372 | 3.5 | 7.80000019073486 | 13.3000001907349 | 17.7999992370605 | 17.7999992370605 | 15.3999996185303 | 14 | 12.1999998092651 | 10.8000001907349 | 9.69999980926514 | 9 | 8.5 | 8.89999961853027 | 9 | 8.60000038146973 | 8.10000038146973 | 7.30000019073486 | 6.40000009536743 | 5.90000009536743 | 8.89999961853027 | 9 | 8.30000019073486 | 8.10000038146973
Fiji | FJI | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5 |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.80000019073486 |  |  |  |  |  |  |  | 4.09999990463257 | 4.09999990463257 |  | 6.40000009536743
France | FRA | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.30000019073486 | 5.30000019073486 | 6.09999990463257 | 6.09999990463257 | 7.59999990463257 | 8.5 | 8.69999980926514 | 8.60000038146973 | 8.19999980926514 | 7.30000019073486 | 7.19999980926514 | 7.19999980926514 | 8.10000038146973 | 9.60000038146973 | 11 | 10 | 10.6000003814697 | 11 | 10.3999996185303 | 10.3999996185303 | 8.5 | 7 | 7.80000019073486 | 7.69999980926514 | 8.19999980926514 | 8 | 8.10000038146973 | 7.5 | 6.90000009536743 | 8.89999961853027 | 9 | 8.80000019073486 | 9.80000019073486
Faeroe Islands | FRO | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.59999990463257
Micronesia, Fed. [NAME]. | FSM | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Gabon | GAB | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19.1000003814697
United Kingdom | GBR | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12 | 11.6000003814697 | 11.6000003814697 | 11.1999998092651 | 9 | 7.40000009536743 | 7 | 9.19999980926514 | 11.5 | 12.3999996185303 | 11.3999996185303 | 10 | 9.60000038146973 | 8.10000038146973 | 6.80000019073486 | 6.69999980926514 | 6.09999990463257 | 5.19999980926514 | 5.69999980926514 | 5.5 | 5 | 5 | 5.80000019073486 | 5.59999990463257 | 5.80000019073486 | 8.80000019073486 | 8.60000038146973 | 8.39999961853027 | 8.39999961853027
Georgia | GEO | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.6000003814697 | 15.3000001907349 | 11.1000003814697 | 11.6000003814697 | 14 | 11.5 | 13.3999996185303 | 14.8000001907349 | 15.1999998092651 | 13.8999996185303 | 16.7999992370605 | 18.1000003814697 | 17.8999996185303 | 16.7000007629395 | 16.1000003814697
Ghana | GHA | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.70000004768372 |  |  |  |  |  |  | 9.39999961853027 | 10.1000003814697 |  |  |  |  |  | 3.5 |  |  |  | 3.90000009536743
Guinea | GIN | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.59999990463257
Gambia, The | GMB | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Guinea-Bissau | GNB | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Equatorial Guinea | GNQ | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 27.3999996185303
Greece | GRC | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.29999995231628 | 4.80000019073486 | 5.80000019073486 | 6 | 5.59999990463257 | 5 | 5.09999990463257 | 4.80000019073486 | 4.59999990463257 | 4.19999980926514 | 4.80000019073486 | 4.90000009536743 | 5.80000019073486 | 6 | 6.19999980926514 | 6 | 6.19999980926514 | 7 | 7.59999990463257 | 7.30000019073486 | 6.69999980926514 | 6.80000019073486 | 6.19999980926514 | 6.59999990463257 | 6.09999990463257 | 5.59999990463257 | 5.19999980926514 | 5.09999990463257 | 6.90000009536743 | 9.89999961853027 | 14.8999996185303 | 21.3999996185303
Grenada | GRD | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 18.5 |  | 10 |  | 10.6000003814697 |  |  | 9.60000038146973
Greenland | GRL | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 15.1000003814697 | 11.8999996185303 | 13.3999996185303 | 10.6000003814697 | 12 | 11.3000001907349 | 9.80000019073486 | 11.8999996185303 | 12 | 10.3999996185303 | 10
Guatemala | GTM | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.79999995231628 |  | 1.60000002384186 |  |  |  |  |  |  |  |  |  | 2.20000004768372 | 1.39999997615814 | 1.29999995231628 | 2.5 | 2.20000004768372 | 2.79999995231628 |  | 1.5 |  |  |  | 3.5 | 2.90000009536743 | 2.40000009536743
Guam | GUM | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4 | 7.90000009536743 | 9.39999961853027 | 9.30000019073486 | 8.5 | 5.59999990463257 | 5.69999980926514 | 4.30000019073486 |  |  |  |  |  |  |  |  |  |  | 7.30000019073486 | 12.6999998092651 | 13.6999998092651 | 12.1999998092651 | 12.8000001907349 |  | 7.59999990463257 | 6.40000009536743 | 7.19999980926514 | 7.09999990463257 |  | 8.80000019073486 | 7.30000019073486 | 11.1999998092651 | 11.8999996185303
Guyana | GUY | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.5 |  |  |  |  | 10.3999996185303
High income | HIC | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.457442080279492 | 6.107357514322406 | 6.791741347653039 | 7.317880056485725 | 7.517443605104807 | 7.22434824030837 | 7.348706998273838 | 7.308592885463297 | 7.391088847642112 | 7.269827431219693 | 6.619432193101173 | 6.565894009459533 | 6.941337795017468 | 7.196372238417431 | 6.867930036992998 | 6.49613122921371 | 5.992091892246592 | 5.450173099180244 | 5.743653207912499 | 8.283204261968931 | 8.570586200158953 | 7.846248611007832 | 7.762924489799227
Hong Kong SAR, China | HKG | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.90000009536743 | 3.79999995231628 | 3.90000009536743 | 5 | 4.09999990463257 | 3.5 | 3 | 1.70000004768372 | 1.39999997615814 | 1.10000002384186 | 1.29999995231628 | 1.89999997615814 | 2 | 2 | 2 | 3.40000009536743 | 3.09999990463257 | 2.29999995231628 | 5 | 7.19999980926514 | 5.59999990463257 | 6 | 8.30000019073486 | 9.19999980926514 | 7.69999980926514 | 6.5 | 5.59999990463257 | 4.5 | 4 | 6 | 5 | 4 | 3.79999995231628
Honduras | HND | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13 |  |  |  | 4.40000009536743 | 4.30000019073486 | 3.29999995231628 |  |  | 3.20000004768372 | 4.40000009536743 | 3.29999995231628 | 3.79999995231628 | 4 |  | 3.79999995231628 | 3.59999990463257 | 4.59999990463257 | 4.80000019073486 | 3.20000004768372 | 2.59999990463257 | 2.90000009536743 | 2.70000004768372 | 2.70000004768372 | 4.30000019073486 | 3.40000009536743
Heavily indebted poor countries (HIPC) | HPC | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Croatia | HRV | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.1000003814697 |  |  |  |  | 9.5 | 9.5 | 10.6000003814697 | 12.8000001907349 | 15 | 19.7000007629395 | 13.1999998092651 | 12.5 | 12.3000001907349 | 11.6000003814697 | 9.80000019073486 | 8.30000019073486 | 7 | 8 | 11.3999996185303 | 13.6999998092651 | 16.1000003814697
Haiti | HTI | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.1999998092651 | 11.1999998092651 |  |  |  |  | 19.1000003814697 |  | 11.8999996185303 |  |  |  |  |  |  |  |  | 6.19999980926514
Hungary | HUN | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11 | 13.5 | 12.1000003814697 | 11.3000001907349 | 10.6999998092651 | 9.5 | 8.5 | 7.5 | 7 | 6.30000019073486 | 6.09999990463257 | 6.09999990463257 | 6.09999990463257 | 7 | 7.09999990463257 | 7.09999990463257 | 7.59999990463257 | 10.3000001907349 | 11.6000003814697 | 11 | 11.1999998092651
Indonesia | IDN | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.70000004768372 |  |  | 2.20000004768372 | 2.70000004768372 |  | 2.90000009536743 | 2.79999995231628 |  |  | 2.70000004768372 |  |  |  | 3.79999995231628 |  | 5 | 6 | 5.69999980926514 | 6.59999990463257 |  | 7.59999990463257 | 8.10000038146973 | 9.5 | 8.5 | 8.10000038146973 | 7.59999990463257 | 7.5
Isle of Man | IMN | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.69999980926514 |  |  |  |  | 4.30000019073486 |  |  |  |  | 1.70000004768372 |  |  |  |  | 2.79999995231628
India | IND | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.59999990463257 | 2.40000009536743 | 2.40000009536743 | 2.59999990463257 | 3.5 |  | 4.30000019073486 |  |  |  |  | 4.09999990463257 |  |  |  |  | 3.29999995231628 |  | 3.40000009536743
Not classified | INX | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Ireland | IRL | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.1999998092651 | 16 | 17.2999992370605 | 17.2999992370605 | 17.6000003814697 | 17 | 15.8999996185303 | 13.6000003814697 | 15.3000001907349 | 14.8999996185303 | 15.3999996185303 | 14.5 | 11.8999996185303 | 11.6999998092651 | 10.1999998092651 | 7.90000009536743 | 5.90000009536743 | 4.40000009536743 | 3.79999995231628 | 4.59999990463257 | 4.80000019073486 | 5 | 4.59999990463257 | 4.59999990463257 | 4.80000019073486 | 7.09999990463257 | 15 | 17 | 17.7000007629395 | 17.6000003814697
Iran, Islamic Rep. | IRN | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.8999996185303 |  |  |  |  | 9.5 |  |  |  |  | 8.5 |  |  |  |  |  | 11.1999998092651 |  | 9.80000019073486 | 10.5 |  | 9.30000019073486 | 9.10000038146973
Iraq | IRQ | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 30.2000007629395 | 29.3999996185303 | 19.2000007629395 | 16.2000007629395 |  | 14.3000001907349
Iceland | ISL | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.29999995231628 | 3.79999995231628 | 5 | 5.09999990463257 | 4.80000019073486 | 3.40000009536743 | 3.29999995231628 | 2.29999995231628 | 1.5 | 1.79999995231628 | 2 | 3.59999990463257 | 3.59999990463257 | 3.20000004768372 | 2.59999990463257 | 2.90000009536743 | 2.29999995231628 | 3.29999995231628 | 8.60000038146973 | 8.30000019073486 | 7.80000019073486 | 6.40000009536743
Israel | ISR | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.09999990463257 | 4.30000019073486 | 4.40000009536743 | 4 | 5.19999980926514 | 6.40000009536743 | 6.59999990463257 | 5.30000019073486 | 5.69999980926514 | 7.90000009536743 | 8.39999961853027 | 8.60000038146973 | 9.19999980926514 | 8.5 | 6.19999980926514 | 5.59999990463257 | 5.80000019073486 | 6.80000019073486 | 8 | 8.5 | 8.39999961853027 | 8.89999961853027 | 10.1000003814697 | 10.1999998092651 | 9.5 | 8.5 | 7.90000009536743 | 6.80000019073486 | 5.69999980926514 | 7.59999990463257 | 6.80000019073486 | 5.59999990463257 | 6.80000019073486
Italy | ITA | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.80000019073486 | 5.40000009536743 | 6 | 5.59999990463257 | 6.40000009536743 | 6.30000019073486 | 7.09999990463257 | 7.5 | 7.30000019073486 | 7.40000009536743 | 6.40000009536743 | 6.80000019073486 | 6.69999980926514 | 7.59999990463257 | 8.69999980926514 | 9.10000038146973 | 9.30000019073486 | 9.39999961853027 | 9.39999961853027 | 8.80000019073486 | 8.30000019073486 | 7.40000009536743 | 7 | 6.90000009536743 | 6.30000019073486 | 6.19999980926514 | 5.40000009536743 | 4.90000009536743 | 5.5 | 6.80000019073486 | 7.59999990463257 | 7.59999990463257 | 9.89999961853027
Jamaica | JAM | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 16.2999992370605 | 13.8000001907349 | 15.6000003814697 | 16.2000007629395 | 15.8000001907349 | 15.6999998092651 | 15 | 13.1999998092651 | 11.8999996185303 | 9.5 | 9.30000019073486 | 9.39999961853027 | 9.39999961853027 | 10.8999996185303 | 9.60000038146973 | 10.8000001907349 | 9.89999961853027 | 10.6000003814697 | 10 | 10 | 10.1999998092651 | 10.3000001907349 | 9.89999961853027 | 7.80000019073486 | 8.10000038146973 | 7.40000009536743 | 6.90000009536743 | 5.5 | 7.30000019073486 | 8.5 | 9.19999980926514 | 9.60000038146973 | 10.3000001907349
Jordan | JOR | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.80000019073486 |  |  | 12.3999996185303 | 13.6000003814697 |  |  |  |  |  | 18.1000003814697 |  | 12.1000003814697 | 12 |  |  |  | 12.3000001907349 | 15.1000003814697 | 15.6000003814697 | 14.6999998092651 | 11.8000001907349 |  |  | 10.1999998092651 | 10.1000003814697 | 10.3000001907349 | 10.3999996185303 | 11 | 10.3999996185303
Japan | JPN | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2 | 2.29999995231628 | 2.40000009536743 | 2.70000004768372 | 2.59999990463257 | 2.59999990463257 | 2.70000004768372 | 2.90000009536743 | 2.5 | 2.20000004768372 | 2 | 1.89999997615814 | 2.09999990463257 | 2.40000009536743 | 2.79999995231628 | 3.09999990463257 | 3.40000009536743 | 3.40000009536743 | 4.09999990463257 | 4.80000019073486 | 5 | 5.19999980926514 | 5.59999990463257 | 5.5 | 4.90000009536743 | 4.59999990463257 | 4.30000019073486 | 4 | 4.09999990463257 | 5.30000019073486 | 5.40000009536743 | 4.80000019073486 | 4.59999990463257
Kazakhstan | KAZ | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.89999961853027 | 7.5 | 7.19999980926514 | 7 | 6.69999980926514 | 6.40000009536743 | 5.90000009536743 | 5.30000019073486 | 5.59999990463257 | 4.90000009536743 | 4.59999990463257 | 4.09999990463257
Kenya | [NAME] | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Kyrgyz Republic | KGZ | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.1999998092651 | 9.39999961853027 | 8 | 7.40000009536743 | 7.69999980926514 | 7.59999990463257 | 7.30000019073486
Cambodia | KHM | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.90000009536743 |  | 2.20000004768372 | 1.39999997615814 |  |  |  |  |  |  | 1.5 | 0.200000002980232 | 0.400000005960464 | 0.300000011920929 | 0.100000001490116
Kiribati | KIR | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
St. Kitts and Nevis | KNA | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.30000019073486
Korea, Rep. | KOR | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.19999980926514 | 5.69999980926514 | 5.5 | 5.19999980926514 | 4.80000019073486 | 5 | 4.90000009536743 | 3.90000009536743 | 3 | 3.09999990463257 | 2.90000009536743 | 2.70000004768372 | 2.79999995231628 | 3.29999995231628 | 2.79999995231628 | 2.29999995231628 | 2.40000009536743 | 2.79999995231628 | 7.80000019073486 | 7.19999980926514 | 5 | 4.5 | 3.70000004768372 | 3.79999995231628 | 3.90000009536743 | 4 | 3.79999995231628 | 3.70000004768372 | 3.59999990463257 | 4.09999990463257 | 4 | 3.59999990463257 | 3.40000009536743
Kosovo | KSV | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 52 | 45.2000007629395 | 40.2999992370605 | 31.5 | 32.9000015258789 | 34.5999984741211 | 38.5 | 42.7000007629395 | 56.4000015258789 |  |  | 28.1000003814697
Kuwait | KWT | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.20000004768372 |  |  |  |  | 1.70000004768372 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2 | 0.800000011920929 | 1 | 1.10000002384186 | 1 | 1.39999997615814 | 2.90000009536743
Latin America & Caribbean (developing only) | LAC | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.993353401720277 |  | 5.470038164729592 | 5.586614640410967 |  | 6.787320356727591 | 6.996041251245795 | 6.58386884267194 | 7.149169346638971 | 7.791073477270835 |  | 7.500913116105416 | 7.720937662541102 | 7.644194664795991 | 6.789992594596702 | 6.523591617027384 | 5.691576489591811 | 5.466455556085732 | 5.116768537110405 | 6.179092993067526 |  | 5.450721004399293
Lao PDR | LAO | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.59999990463257 |  |  |  |  |  |  |  |  |  | 1.29999995231628
Lebanon | LBN | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.30000019073486 |  |  | 8.60000038146973 |  | 4.90000009536743
Liberia | LBR | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.80000019073486 |  |  | 3.40000009536743
Libya | LBY | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
St. Lucia | LCA | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.59999990463257 |  | 12.1999998092651 | 14.5 | 11.6999998092651 | 13.8000001907349 | 17.7000007629395 | 18 | 16 | 12.6999998092651 |  | 12.1999998092651 | 17.2000007629395 | 17.5 | 15 | 12.3999996185303 | 10 | 13.3000001907349 | 16.7999992370605 | 19
Latin America & Caribbean (all income levels) | LCN | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.138599284207908 |  | 5.566869651945752 | 5.691189704866709 |  | 6.810654593434569 | 7.025735597981378 | 6.620853049613511 | 7.166453395914727 | 7.885290702782926 |  | 7.603157161177414 | 7.818316459925776 | 7.722828099353198 | 6.851440297405509 | 6.589084459195863 | 5.763289827676867 | 5.531193598542412 | 5.207786990995441 | 6.332699512742979 |  | 5.532379104042382
Least developed countries: UN classification | LDC | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Low income | LIC | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
[NAME] | LIE | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
[NAME] | LKA | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.8000001907349 |  |  |  |  |  |  |  | 9.69999980926514 | 9.69999980926514 | 9 | 8.10000038146973 | 7.69999980926514 | 6.5 | 6.69999980926514 | 5.90000009536743 | 6.19999980926514 | 6.59999990463257 | 5.90000009536743 | 6.09999990463257 | 5.59999990463257 | 4.69999980926514 | 4.30000019073486 | 3.59999990463257 | 4.30000019073486 | 3.5 | 2.70000004768372 | 2.79999995231628
Lower middle income | LMC | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.138466783629502 | 3.532793323868193 | 3.55349584581423 | 3.795467391263156 | 4.516421504062318 |  | 5.203437626768165 |  |  |  |  | 5.428805886273465
Low & middle income | LMY | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
[NAME] | LSO | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.1000003814697 |  |  |  |  |  |  |  |  |  |  | 30.7000007629395 |  | 21.5 |  |  |  |  |  |  |  |  | 23
Lithuania | LTU | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 15.3000001907349 | 14.3000001907349 | 15.3999996185303 | 14.6999998092651 | 18.2000007629395 | 19.5 | 13.1999998092651 | 12.6000003814697 | 11.1000003814697 | 8.19999980926514 | 5.80000019073486 | 4.30000019073486 | 6.09999990463257 | 17.1000003814697 | 21.2000007629395 | 17.7000007629395 | 15
Luxembourg | LUX | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.29999995231628 | 2.09999990463257 | 2.20000004768372 | 1.89999997615814 | 1.70000004768372 | 1.5 | 1.10000002384186 | 1.20000004768372 | 1.10000002384186 | 1.60000002384186 | 1.89999997615814 | 3 | 2.09999990463257 | 2.5 | 1.79999995231628 | 1.89999997615814 | 1.70000004768372 | 1.79999995231628 | 1.60000002384186 | 1.89999997615814 | 3 | 3.70000004768372 | 3.5 | 3.5 | 3.59999990463257 | 4.30000019073486 | 4.40000009536743 | 3.79999995231628 | 3.79999995231628 | 4.5
Latvia | LVA | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 20.6000003814697 | 14.8000001907349 | 15.3999996185303 | 14.1999998092651 | 15 | 14.6000003814697 | 14.8000001907349 | 10.3999996185303 | 9.5 | 9.10000038146973 | 7.40000009536743 | 6.40000009536743 | 8 | 20.2999992370605 | 21.7000007629395 | 18.6000003814697 | 16
Macao SAR, China | MAC | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.70000004768372 | 2.5 | 2.5 | 1.89999997615814 | 2.20000004768372 | 2.5 | 4.09999990463257 | 4.59999990463257 | 3.59999990463257 | 5.40000009536743 | 8 | 8.60000038146973 | 8.19999980926514 | 8.10000038146973 | 7.19999980926514 | 5.69999980926514 | 4.30000019073486 | 3.70000004768372 | 3.40000009536743 | 3.20000004768372 | 4.19999980926514 | 3.59999990463257 | 3
St. Martin (French part) | MAF | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Morocco | MAR | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.3999996185303 | 12.8000001907349 | 15 | 14.1999998092651 | 15.3000001907349 | 13 | 14.1999998092651 |  | 18.7000007629395 | 16.1000003814697 | 15.3000001907349 | 17.5 | 14.1999998092651 | 13.8000001907349 | 12.3999996185303 | 11.3000001907349 | 11.5 | 10.6000003814697 | 10.8000001907349 | 9.69999980926514 | 9.80000019073486 | 9.5 | 9 | 8.89999961853027 | 8.39999961853027 | 8.69999980926514
Monaco | MCO | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.5
Moldova | MDA | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.3000001907349 | 9.69999980926514 | 8.69999980926514 | 8.10000038146973 | 9.60000038146973 | 10 | 8.69999980926514 | 8.89999961853027 | 6.30000019073486 | 4.59999990463257 | 7.80000019073486 | 9.10000038146973 | 7.69999980926514 | 6.80000019073486
Madagascar | MDG | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6 | 5.30000019073486 |  | 3.79999995231628 |  | 1.70000004768372
Maldives | MDV | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.600000023841858 |  |  |  |  | 1.60000002384186 |  |  |  |  |  | 7.90000009536743
Middle East & North Africa (all income levels) | MEA | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.53171770730034 |  |  |  |  |  |  |  |  |  |  | 9.37119999919579 |  | 12.28975109481769 | 10.64414477275349 | 8.947516542638311 | 8.309115777522164 | 8.08074477291441 | 6.574411633876101
Mexico | MEX | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2 |  |  | 2.5 | 2.70000004768372 | 2.90000009536743 | 4 | 6 | 4.40000009536743 | 3 | 2.90000009536743 | 1.89999997615814 | 2.20000004768372 | 2.09999990463257 | 2.5 | 2.59999990463257 | 3.09999990463257 | 3.40000009536743 | 3 | 3.20000004768372 | 3.29999995231628 | 5.40000009536743 | 5.19999980926514 | 5.30000019073486 | 4.80000019073486
Marshall Islands | MHL | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9 |  |  |  |  |  |  |  | 12.1999998092651 |  |  |  |  |  |  |  |  |  |  | 27.6000003814697
Middle income | MIC | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Macedonia, FYR | MKD | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 33 | 32.5 | 31.8999996185303 | 30.5 | 29.5 | 31.7000007629395 | 37 | 36.7000007629395 | 36.5 | 35.2999992370605 | 34.5 | 33.5 | 31.7999992370605 | 31.8999996185303 | 31.7999992370605 | 31.5
[NAME] | MLI | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.29999995231628 |  |  |  |  |  |  | 7.19999980926514
Malta | MLT | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.19999980926514 | 6.69999980926514 | 6.30000019073486 | 6.40000009536743 | 7 | 6.59999990463257 | 6.09999990463257 | 5.90000009536743 | 5.59999990463257 | 6.59999990463257 | 6.80000019073486 | 6.09999990463257 | 5.80000019073486
Myanmar | MMR | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.69999980926514
Middle East & North Africa (developing only) | MNA | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.60873510311781 |  |  |  |  |  |  |  |  |  |  | 9.98162046059162 |  | 12.45027687234139 | 11.0928961088583 | 9.8374595873047 | 8.989380399208466 | 9.118541189602915
Montenegro | MNE | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 26.2000007629395 |  | 18.1000003814697 | 15.8999996185303 | 18 | 18.8999996185303 | 19.5 | 18.8999996185303
Mongolia | MNG | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.40000009536743 |  |  |  | 6.19999980926514 | 7.09999990463257 |  |  |  | 7.19999980926514 | 5.90000009536743 | 5.59999990463257 | 7.09999990463257 | 5.09999990463257
Northern Mariana Islands | MNP | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.3000001907349 | 10.5 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.40000009536743 |  |  | 5 |  | 7.30000019073486
Mozambique | MOZ | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.40000009536743
Mauritania | MRT | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21.8999996185303 |  |  |  |  |  |  |  |  |  |  |  | 8.89999961853027 |  |  |  |  |  |  |  | 23.8999996185303
[NAME] | MUS | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.20000004768372 | 3.5 | 3.79999995231628 |  | 4.59999990463257 | 5.59999990463257 | 6.09999990463257 | 7 | 8.30000019073486 | 5.40000009536743 | 5.30000019073486 | 5.69999980926514 | 5.80000019073486 | 5.80000019073486 | 5.59999990463257 | 5.30000019073486 | 4.09999990463257 | 4.40000009536743 | 4.59999990463257 | 5.19999980926514 | 6
[NAME] | MWI | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.90000009536743 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.40000009536743
Malaysia | MYS | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.70000004768372 | 3.29999995231628 | 4.40000009536743 | 5 | 7 | 6.80000019073486 | 6.69999980926514 | 5.30000019073486 | 4 |  | 3.40000009536743 | 3.79999995231628 |  | 2.79999995231628 | 2.5 | 2.20000004768372 | 3.09999990463257 | 3.5 | 3 | 3.40000009536743 | 3.29999995231628 | 3.59999990463257 | 3.40000009536743 | 3.40000009536743 | 3.29999995231628 | 3.09999990463257 | 3.20000004768372 | 3.59999990463257 | 3.29999995231628 | 2.90000009536743 | 2.90000009536743
North America | NAC | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.960160223948316 | 7.483801807130645 | 8.318008418637072 | 7.677485516322823 | 6.676293065320496 | 6.02067323328175 | 5.84894931030213 | 5.328284702222143 | 4.807714464417291 | 4.468693238848966 | 4.199063055266188 | 5.070511271453232 | 6.124196322880192 | 6.465681984211225 | 5.797138606031282 | 5.296792394418523 | 4.795353675258658 | 4.876331795325295 | 6.141888167136679 | 10.20524898658933 | 10.30839866323921 | 9.228622217096357 | 8.146376984903359
Namibia | NAM | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 20 |  |  | 17.8999996185303 |  |  | 18.2000007629395 |  |  | 19.1000003814697 |  |  |  | 19.3999996185303 |  |  |  | 32.5 |  | 20.2999992370605 | 22.7999992370605 | 14.6999998092651
New Caledonia | NCL | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 16.2999992370605
[NAME] | NER | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.59999990463257 |  |  |  |  |  | 1.70000004768372
Nigeria | NGA | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.70000004768372
Nicaragua | NIC | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.59999990463257 | 3.79999995231628 | 4.69999980926514 | 4.90000009536743 | 6.80000019073486 | 9 | 11.3000001907349 |  |  |  | 15.8999996185303 | 14 | 12.6000003814697 | 12.3999996185303 | 10.3000001907349 | 9.19999980926514 | 5.90000009536743 |  | 7.90000009536743 | 5.80000019073486 | 5.40000009536743 | 5.5 | 4.90000009536743 | 5.69999980926514 |  | 7.40000009536743
Netherlands | NLD | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.8999996185303 |  | 9.5 |  | 7.40000009536743 | 7.30000019073486 | 6.80000019073486 | 5.59999990463257 | 5.59999990463257 | 4 | 5.30000019073486 | 6.5 | 6.09999990463257 | 5.19999980926514 | 4.30000019073486 | 3.40000009536743 | 2.70000004768372 | 2.20000004768372 | 1.79999995231628 | 2.29999995231628 | 3.40000009536743 | 4.30000019073486 | 4.40000009536743 | 3.5 | 2.79999995231628 | 2.5 | 3.40000009536743 | 4.40000009536743 | 4.5 | 5.30000019073486
High income: nonOECD | NOC | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.559169575183797 | 6.013391403067508 | 8.065041776425955 | 9.152445117103554 | 9.851292170193522 | 11.36318204476632 | 12.66398131580985 | 11.69235766484552 | 9.724896193957196 | 8.90289553488199 | 8.008982885513273 | 8.770821495342828 | 8.018989997115286 | 7.091595716637563 | 6.73915936471449 | 5.834232116297482 | 5.531748859812283 | 7.500541017044229 | 7.931082560344613 | 6.349694999427955 | 5.680022492689962
Norway | NOR | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.20000004768372 | 1.60000002384186 | 2.5 | 3.09999990463257 | 3.20000004768372 | 2.09999990463257 | 1.5 | 1.70000004768372 | 3 | 5.09999990463257 | 5.59999990463257 | 5.80000019073486 | 6.59999990463257 | 6.59999990463257 | 5.90000009536743 | 5.09999990463257 | 4.80000019073486 | 3.79999995231628 | 3.09999990463257 | 3.40000009536743 | 3.70000004768372 | 3.5 | 4.09999990463257 | 4.80000019073486 | 4.80000019073486 | 4.80000019073486 | 3.5 | 2.59999990463257 | 2.79999995231628 | 3.59999990463257 | 4.09999990463257 | 3.40000009536743 | 3.59999990463257
Nepal | NPL | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2 |  | 7.40000009536743 |  |  |  |  |  |  | 3.09999990463257
New Zealand | NZL | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.59999990463257 | 4 | 5.69999980926514 | 7.19999980926514 | 8.10000038146973 | 11.3000001907349 | 11.3999996185303 | 10.3999996185303 | 8.80000019073486 | 6.40000009536743 | 6.30000019073486 | 6.80000019073486 | 7.80000019073486 | 7.30000019073486 | 6.30000019073486 | 5.5 | 5.09999990463257 | 4.5 | 3.59999990463257 | 3.5 | 3.59999990463257 | 3.40000009536743 | 4.09999990463257 | 6.09999990463257 | 6.19999980926514 | 6.30000019073486 | 6.5
High income: OECD | OEC | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.427813237467974 | 6.060009747159694 | 7.028375057285665 | 7.53339538122359 | 7.429377165930783 | 6.907060394163676 | 6.937476948038777 | 6.658041414633042 | 6.546180400377663 | 6.4496202320284 | 6.02470585852805 | 6.128825257634692 | 6.742209809458286 | 6.934544596052999 | 6.677428718300695 | 6.390955731670962 | 5.846174007387668 | 5.373990628079802 | 5.788753908517725 | 8.448922377840898 | 8.6794183293979 | 8.15020930223891 | 8.177384785778477
OECD members | OED | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.564623505836018 | 5.906611482525432 | 6.807227364827543 | 7.275155924537585 | 7.259602620442767 | 6.912051113447666 | 6.760534232577447 | 6.371557311167356 | 6.274714202233295 | 6.138464227544042 | 5.738397244529756 | 5.914151922677509 | 6.568243092292565 | 6.739968577768498 | 6.568116231261955 | 6.337430051206095 | 5.80743556193976 | 5.426771791546471 | 5.830048260139248 | 8.473942265527183 | 8.523712603776305 | 7.963706107748643 | 7.8972732851393
Oman | OMN | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Other small states | OSS | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Pakistan | PAK | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.90000009536743 | 2.90000009536743 | 2.90000009536743 | 4.19999980926514 | 4 | 3.79999995231628 | 3.79999995231628 | 3.29999995231628 | 2.90000009536743 |  | 2.79999995231628 | 4.19999980926514 | 3.79999995231628 | 3.40000009536743 | 3.40000009536743 | 3.70000004768372 |  | 3.90000009536743 | 4.09999990463257 |  | 5.5 |  | 6.19999980926514 |  | 6.19999980926514 |  | 5.19999980926514 | 4.19999980926514 | 4
Panama | PAN | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.30000019073486 | 7.69999980926514 | 8.19999980926514 | 9.5 | 8.69999980926514 | 9.39999961853027 | 14 | 13.6999998092651 |  | 12.8000001907349 | 10.8000001907349 | 9.69999980926514 | 10.6999998092651 | 10.8000001907349 | 11.3999996185303 | 10.6999998092651 | 10.3000001907349 | 8.89999961853027 | 11.1000003814697 | 11.6999998092651 | 10.6000003814697 | 10.1000003814697 | 9 | 7.59999990463257 | 6.90000009536743 | 5 | 4.40000009536743 | 5.09999990463257 | 5.30000019073486 | 4.19999980926514 | 3.5
Peru | PER | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.40000009536743 | 3.79999995231628 |  | 6 | 6.5 | 4.80000019073486 | 7.5 | 8.39999961853027 | 7 | 6 | 6.40000009536743 | 6.80000019073486 | 6.5 | 7.5 | 8.19999980926514 | 7.59999990463257 | 8.30000019073486 | 9 | 4.59999990463257 | 4.90000009536743 | 3.90000009536743 | 4 | 3.90000009536743 | 4.09999990463257 | 3.5 | 3.5 | 3
Philippines | PHL | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.20000004768372 | 3.5 | 3.59999990463257 | 3.70000004768372 | 5.19999980926514 | 4.80000019073486 | 4.90000009536743 | 8.10000038146973 | 7.69999980926514 | 7.30000019073486 | 7.09999990463257 | 8.10000038146973 | 7.90000009536743 | 8.19999980926514 | 7.90000009536743 | 7.69999980926514 | 7 | 7.5 | 9.30000019073486 | 9.39999961853027 | 11 | 10.6999998092651 | 11.1999998092651 | 10.8000001907349 | 11.6000003814697 | 7.69999980926514 | 8.19999980926514 | 7.59999990463257 | 7.5 | 7.5 |  | 7.30000019073486
Palau | PLW | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.70000004768372
[NAME] | PNG | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9 |  |  |  |  |  |  |  |  |  | 4.30000019073486
Poland | POL | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.1999998092651 | 12.6000003814697 | 13.1000003814697 | 12.1000003814697 | 11 | 9.5 | 9.30000019073486 | 11.6999998092651 | 14.3999996185303 | 16.8999996185303 | 19.1000003814697 | 19 | 18.2000007629395 | 16.6000003814697 | 13 | 9 | 6.40000009536743 | 7.80000019073486 | 9.30000019073486 | 9 | 9.39999961853027
Puerto Rico | PRI | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19.5 | 22.6000003814697 | 26.2999992370605 | 26.5 | 23.7999992370605 | 24.7000007629395 | 22.6000003814697 | 20.2999992370605 | 18.2999992370605 | 16.8999996185303 | 17.6000003814697 | 18.7999992370605 | 19.1000003814697 | 19.3999996185303 | 16.5 | 16 | 15 | 14.8999996185303 | 14.3999996185303 | 13.5 | 11.8999996185303 | 13 | 13.3999996185303 | 12.8000001907349 | 11.5 | 12.1999998092651 | 11.1999998092651 | 12 | 12.8000001907349 | 17 | 18.8999996185303 | 18.2000007629395 | 16.2000007629395
Korea, Dem. Rep. | PRK | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Portugal | PRT | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.29999995231628 | 3.20000004768372 | 2.79999995231628 | 4.19999980926514 | 5.40000009536743 | 5.80000019073486 | 6 | 4.90000009536743 | 3.70000004768372 | 3.20000004768372 | 3 | 2.59999990463257 | 3.29999995231628 | 4.40000009536743 | 5.69999980926514 | 6.09999990463257 | 6 | 5.59999990463257 | 3.90000009536743 | 3.90000009536743 | 3.09999990463257 | 3.20000004768372 | 4.09999990463257 | 5.5 | 5.80000019073486 | 6.69999980926514 | 6.5 | 6.59999990463257 | 6.5 | 8.89999961853027 | 9.80000019073486 | 12.3999996185303 | 15.6999998092651
Paraguay | PRY | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.79999995231628 |  | 5.40000009536743 | 9.80000019073486 | 9.10000038146973 | 5.09999990463257 | 6.30000019073486 | 6.5 | 4.80000019073486 | 6.59999990463257 | 6.69999980926514 | 5.40000009536743 | 6 | 5.59999990463257 | 4.90000009536743 | 3.09999990463257 |  | 4.5 | 4.5 | 6.09999990463257 | 6.69999980926514 | 6.69999980926514 | 8.89999961853027 | 6.59999990463257 | 5.90000009536743 | 4.80000019073486 | 5.30000019073486 | 4.19999980926514 | 4.40000009536743 | 5.59999990463257 | 4.69999980926514 | 3.40000009536743 | 3.90000009536743
Pacific island small states | PSS | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
French Polynesia | PYF | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.19999980926514 |  |  |  |  |  |  |  | 11.5 |  |  |  |  |  | 11.8999996185303 |  |  |  |  | 11
Qatar | QAT | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.89999997615814 |  |  |  | 2.29999995231628 |  |  | 1.10000002384186 |  | 0.400000005960464 | 0.200000002980232 | 0.100000001490116 | 0.100000001490116 |  | 0.200000002980232 | 0.100000001490116
Romania | [NAME] | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.69999980926514 | 7.5 | 6.30000019073486 | 5.19999980926514 | 5.80000019073486 | 6.90000009536743 | 7.5 | 7 | 8.60000038146973 | 7.40000009536743 | 9 | 7.80000019073486 | 8.19999980926514 | 7.19999980926514 | 6.69999980926514 | 7.69999980926514 | 7.90000009536743 | 7.90000009536743 | 7.59999990463257
Russian Federation | RUS | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.19999980926514 | 5.90000009536743 | 8.30000019073486 | 9.69999980926514 | 10 | 12.1000003814697 | 13.5 | 13.1999998092651 | 10.8000001907349 | 9.30000019073486 | 8.10000038146973 | 8.5 | 8 | 7.30000019073486 | 7.40000009536743 | 6.40000009536743 | 6.5 | 8.89999961853027 | 7.90000009536743 | 6.90000009536743 | 5.80000019073486
Rwanda | RWA | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1 |  | 0.600000023841858 |  |  |  |  | 0.899999976158142
South Asia | SAS | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.678873427997763 | 2.638122399197168 | 2.523238926669541 | 2.818654474110406 | 3.611325735110659 |  | 4.329831292385748 |  |  |  |  | 4.092976708306966 |  |  |  |  | 3.302874839565529 |  | 3.389940012616189
Saudi Arabia | SAU | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.40000009536743 |  |  |  |  |  |  | 3.70000004768372 | 3.79999995231628 | 3.90000009536743 | 4.19999980926514 |  |  |  | 4.69999980926514 | 4.19999980926514 | 3.5 | 3.5 |  | 2.90000009536743 | 3.20000004768372
Sudan | SDN | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.6999998092651
Senegal | SEN | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.90000009536743
Singapore | SGP | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.90000009536743 | 2.79999995231628 | 2.40000009536743 | 3.20000004768372 | 2.59999990463257 | 4.5 | 7.40000009536743 | 5.40000009536743 | 4.09999990463257 | 2.5 |  |  | 2 | 2.09999990463257 | 2.20000004768372 | 2.29999995231628 | 2.29999995231628 | 2 | 3.5 | 3.79999995231628 | 3.90000009536743 | 3.90000009536743 | 4.80000019073486 | 5.09999990463257 | 4.5 | 3.90000009536743 | 3.40000009536743 | 2.79999995231628 | 3 | 4.09999990463257 | 3 | 2.59999990463257 | 2.70000004768372
Solomon Islands | SLB | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 31
Sierra Leone | SLE | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.5
El Salvador | SLV | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.8000001907349 |  |  |  |  | 12.3999996185303 | 7.5 |  | 11 | 10 | 10.1000003814697 | 8.30000019073486 | 8.39999961853027 | 11.8000001907349 | 8.39999961853027 | 8.69999980926514 | 8.39999961853027 | 9.5 | 8.19999980926514 | 8.5 | 9.10000038146973 | 8.10000038146973 | 8.10000038146973 | 9.19999980926514 | 8.69999980926514 | 8.89999961853027 | 8.5 | 8.19999980926514 | 7.5 | 9 | 8.39999961853027 | 8.19999980926514 | 7.30000019073486
[NAME] | SMR | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.79999995231628 | 3 | 2.5 | 2.40000009536743 | 1.89999997615814 | 2 | 1.89999997615814 | 1.60000002384186 | 2 |  | 1 | 1.29999995231628 | 1.20000004768372 | 1.20000004768372 |  |  |  |  |  |  |  | 1.20000004768372 | 1.20000004768372
Somalia | SOM | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Serbia | SRB | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 15.1000003814697 | 16.7999992370605 | 17.8999996185303 | 15.8000001907349 | 11.8999996185303 | 15.3000001907349 | 18.3999996185303 | 22.3999996185303 | 23.2000007629395
Sub-Saharan Africa (developing only) | SSA | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
South Sudan | SSD | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Sub-Saharan Africa (all income levels) | SSF | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Small states | SST | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Sao Tome and Principe | STP | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.400000005960464 | 0.699999988079071 | 0.5 | 0.400000005960464 | 0.200000002980232 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.5 |  |  |  |  |  | 11
Suriname | SUR | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 15.6999998092651 |  | 13.1000003814697 | 12.6000003814697 |  | 13.6999998092651 | 12 | 11.3999996185303 | 7 | 7.90000009536743 | 7.40000009536743 | 7.19999980926514 | 9.89999961853027 |  |  |  |  | 7
Slovak Republic | SVK | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.5 | 13.3000001907349 | 12.6000003814697 | 10.1999998092651 | 11.1000003814697 | 12.1999998092651 | 16.2999992370605 | 18.8999996185303 | 19.7999992370605 | 18.6000003814697 | 17.2999992370605 | 17.2999992370605 | 15.3999996185303 | 12.1999998092651 | 9.80000019073486 | 8.39999961853027 | 11.3999996185303 | 14.1999998092651 | 13.5 | 13.5
Slovenia | SVN | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.10000038146973 |  | 10.6000003814697 | 9.30000019073486 | 7.40000009536743 | 7.09999990463257 | 6.40000009536743 | 7.30000019073486 | 7.19999980926514 | 6.80000019073486 | 5.40000009536743 | 5.90000009536743 | 6.30000019073486 | 5.80000019073486 | 6.09999990463257 | 4.90000009536743 | 4 | 4 | 5.90000009536743 | 7.40000009536743 | 8.19999980926514 | 8.39999961853027
Sweden | SWE | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.89999997615814 | 2.59999990463257 | 3.29999995231628 | 3.70000004768372 | 3.29999995231628 | 3.09999990463257 | 2.79999995231628 | 2.20000004768372 | 1.89999997615814 | 1.5 | 1.89999997615814 | 3.5 | 6.69999980926514 | 10.8999996185303 | 10.8999996185303 | 9.80000019073486 | 10.3000001907349 | 10.3999996185303 | 8.69999980926514 | 7.40000009536743 | 6.19999980926514 | 5.30000019073486 | 5.59999990463257 | 6.30000019073486 | 6.90000009536743 | 7.80000019073486 | 6.80000019073486 | 5.90000009536743 | 5.90000009536743 | 8.60000038146973 | 8.69999980926514 | 7.80000019073486 | 8.19999980926514
Swaziland | SWZ | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 20.3999996185303 |  | 20
Sint Maarten (Dutch part) | SXM | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Seychelles | SYC | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.60000038146973 |  |  |  | 15.1999998092651 |  |  |  |  |  |  |  |  | 8.60000038146973 |  |  |  |  |  |  |  |  |  |  | 6.09999990463257
Syrian Arab Republic | SYR | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.79999995231628 | 4.09999990463257 |  |  |  |  | 5 |  | 5.19999980926514 |  | 7.59999990463257 | 6.80000019073486 | 5.5 |  | 13.1000003814697 |  | 6 | 1.60000002384186 | 8.19999980926514 | 8.30000019073486 | 7.80000019073486 |  |  | 5.30000019073486 | 5.19999980926514 | 8.30000019073486 | 5.69999980926514 | 5.69999980926514
Turks and Caicos Islands | TCA | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Chad | TCD | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.10000002384186
Togo | TGO | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Thailand | THA | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1 | 1.5 | 2.20000004768372 | 2.59999990463257 | 3.79999995231628 | 3.20000004768372 | 3.09999990463257 | 4.19999980926514 | 2.59999990463257 | 1.20000004768372 | 2 | 2 | 1.29999995231628 | 1.20000004768372 | 1.10000002384186 |  | 1 | 0.800000011920929 | 3.40000009536743 | 3 | 2.40000009536743 | 2.70000004768372 | 2 | 1.60000002384186 | 1.60000002384186 | 1.5 | 1.29999995231628 | 1.29999995231628 | 1.29999995231628 | 1.5 | 1.10000002384186 | 0.699999988079071 | 0.699999988079071
Tajikistan | TJK | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.3000001907349
Turkmenistan | TKM | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Timor-Leste | TLS | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8 |  |  |  |  |  | 5.09999990463257 |  |  | 3.20000004768372
Tonga | TON | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.59999990463257
Trinidad and Tobago | TTO | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8 | 8.60000038146973 | 8.30000019073486 | 9.10000038146973 | 12 | 15 | 16.2999992370605 | 26 | 21.2000007629395 | 20.7999992370605 | 17.8999996185303 | 15.6999998092651 | 17 | 17.7000007629395 | 16.1000003814697 | 15.1999998092651 | 13.3000001907349 | 12.3000001907349 | 11.3000001907349 | 10.8999996185303 | 10.1999998092651 | 8.60000038146973 | 7.80000019073486 | 8.30000019073486 | 6.40000009536743 | 5.80000019073486 | 4.5 | 3.90000009536743 | 3.5
Tunisia | TUN | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.6999998092651 |  |  |  |  |  |  |  | 15.5 |  | 15.6000003814697 | 15.3000001907349 | 14.5 | 14.8999996185303 | 13.8999996185303 | 13.1999998092651 | 13.1000003814697 | 11.5 | 11.3000001907349 | 11.1000003814697 | 11.3000001907349 | 10.8999996185303 | 15
Turkey | TUR | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.3000001907349 |  |  | 7.5 | 8.19999980926514 | 7.80000019073486 | 8.69999980926514 | 8.80000019073486 | 8.80000019073486 | 8.80000019073486 | 7.80000019073486 | 6.90000009536743 | 6.5 | 6.90000009536743 | 7.69999980926514 | 6.59999990463257 | 8.69999980926514 | 10.6999998092651 | 10.6999998092651 | 10.8000001907349 | 10.3999996185303 | 9.89999961853027 | 10 | 10.6999998092651 | 13.8999996185303 | 11.3999996185303 | 9.19999980926514 | 8.5
Tuvalu | TUV | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.90000009536743 |  |  | 4.90000009536743
Tanzania | TZA | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.79999995231628 |  |  |  |  |  |  |  |  |  | 4.40000009536743 | 4.69999980926514 |  |  |  | 2.79999995231628 |  |  | 2.20000004768372 |  | 2.70000004768372
Uganda | UGA | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.29999995231628 |  |  |  |  |  |  |  |  |  |  | 2.59999990463257 | 2.5 |  | 1.79999995231628 |  |  |  | 3.09999990463257
Ukraine | UKR | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.30000019073486 | 8 | 9.5 | 11.8999996185303 | 11.8000001907349 | 11.6000003814697 | 11 | 9.80000019073486 | 9.39999961853027 | 8.89999961853027 | 7.5 | 7 | 6.69999980926514 | 6.59999990463257 | 10.3000001907349 | 9.30000019073486 | 8.80000019073486 | 8.5
Upper middle income | UMC | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Uruguay | URY | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.09999990463257 | 9.10000038146973 | 11.8999996185303 | 10.5 | 10.1999998092651 | 8.5 | 6.69999980926514 | 6.30000019073486 | 6.09999990463257 | 6.90000009536743 | 7.19999980926514 | 6.80000019073486 | 6.5 | 7.09999990463257 | 8 |  |  | 7.69999980926514 | 8.69999980926514 | 10.8999996185303 | 11.5 | 13.5 | 13.5 |  | 9.5 | 7.80000019073486 | 6.59999990463257 | 5.40000009536743 |  | 5.30000019073486 | 4.80000019073486 | 4.90000009536743
United States | USA | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.90000009536743 | 7.40000009536743 | 9.89999961853027 | 9.89999961853027 | 7.40000009536743 | 7 | 6.90000009536743 | 6.19999980926514 | 5.5 | 5.19999980926514 | 5.69999980926514 | 7.09999990463257 | 7.90000009536743 | 7.19999980926514 | 6.19999980926514 | 5.59999990463257 | 5.40000009536743 | 4.90000009536743 | 4.40000009536743 | 4.09999990463257 | 3.90000009536743 | 4.80000019073486 | 5.90000009536743 | 6.30000019073486 | 5.59999990463257 | 5.09999990463257 | 4.59999990463257 | 4.69999980926514 | 6.09999990463257 | 10.3000001907349 | 10.5 | 9.39999961853027 | 8.19999980926514
Uzbekistan | UZB | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
St. Vincent and the Grenadines | VCT | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 23 |  |  |  |  |  |  |  |  |  |  | 18.3999996185303 |  |  |  |  |  |  |  |  |  | 22.6000003814697
Venezuela, RB | VEN | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.5 | 7.5 | 8.89999961853027 | 12.5 | 13.8999996185303 | 13.6000003814697 | 11.3000001907349 | 9.80000019073486 | 7.80000019073486 | 10.1000003814697 | 10.3999996185303 | 9.60000038146973 | 8.19999980926514 | 7.19999980926514 | 8.10000038146973 | 9 | 10.5 | 9 | 10 | 13.6000003814697 | 12.5 | 11.6000003814697 | 14.3999996185303 | 14.3999996185303 | 13.3999996185303 | 10.3000001907349 | 8.19999980926514 | 7.09999990463257 | 6.5 | 7.40000009536743 | 8.19999980926514 | 7.69999980926514 | 7.40000009536743
Virgin Islands (U.S.) | VIR | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Vietnam | VNM | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.20000004768372 | 3.20000004768372 | 2.40000009536743 | 2.29999995231628 | 2.40000009536743 | 2.29999995231628 | 1.89999997615814 | 1.89999997615814 | 1.89999997615814 |  |  |  |  |  |  | 1.70000004768372 | 1.60000002384186
[NAME] | VUT | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.09999990463257
West Bank and Gaza | PSE | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 24.5 | 20.2999992370605 | 14.3999996185303 | 11.6000003814697 | 14.3999996185303 | 26.7000007629395 | 32.9000015258789 |  | 28.1000003814697 |  | 24.2000007629395 | 22.1000003814697 | 26.5 | 24.1000003814697 | 23.1000003814697 | 19.2000007629395 | 20.5
World | WLD | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Samoa | WSM | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.40000009536743 |  |  |  |  | 1.10000002384186 |  |  |  |  | 5.19999980926514
Yemen, Rep. | YEM | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9.30000019073486 |  |  |  |  | 12.5 |  |  |  |  | 13 | 11.8999996185303 | 12.1000003814697 | 11.8000001907349 | 11.5 | 11.3000001907349 | 12.3999996185303
South Africa | ZAF | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 17.2000007629395 | 14.3999996185303 | 17.3999996185303 | 18.8999996185303 | 21.2999992370605 | 21.1000003814697 | 24.8999996185303 | 23.1000003814697 | 23.5 | 23.7000007629395 | 21.2000007629395 | 20 | 18.6000003814697 | 18.7999992370605 | 19.7000007629395 | 21.7999992370605 | 22.6000003814697 | 22.2999992370605 | 22.7000007629395
Congo, Dem. Rep. | COD | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS
Zambia | ZMB | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.69999980926514 |  |  |  | 11.6999998092651 | 16.2999992370605 |  | 18.8999996185303 |  |  | 14.8999996185303 |  | 13 |  | 14.1000003814697
Zimbabwe | ZWE | Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.8000001907349 |  |  |  |  | 6.5 |  |  |  |  |  |  | 6.80000019073486 |  |  | 8.69999980926514 |  | 7.30000019073486 |  |  | 10.3999996185303 |  | 4.19999980926514