Spreadsheet: 2ade85b0-75e1-4f19-9a82-fd1c5b1f0fc4
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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.90000009536743 |  |  | 5.59999990463257 |  |  | 6.80000019073486 |  |  | 6.5 | 6.5 |  |  |  |  |  | 5
Andorra | AND | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Afghanistan | AFG | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.59999990463257
Angola | AGO | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Albania | ALB | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 18.7999992370605 |  |  |  |  |  | 14.3999996185303 | 12.5 | 12.1999998092651 | 12.8000001907349
Andean Region | ANR | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Arab World | ARB | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.03816884411606 |  |  |  | 13.29318962697138 |  | 9.000919006094481 | 8.063843746937781 | 8.505379536209285 | 6.644992777960821
United Arab Emirates | ARE | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.70000004768372 |  |  |  |  | 2.20000004768372 |  |  |  |  | 2.5 |  |  | 2 | 2.40000009536743
Argentina | ARG | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 38 |  |  |  | 31.8999996185303 |  |  |  |  |  | 21.8999996185303 | 14.3999996185303 | 17.7999992370605 | 17 | 17.2999992370605
American Samoa | ASM | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.59999990463257 |  |  |  |  |  |  |  |  |  | 4.90000009536743
[NAME] and [NAME] | ATG | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8
Australia | AUS | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.699999988079071
Belgium | BEL | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.200000002980232 |  |  |  |  |  | 2.20000004768372 |  |  |  |  |  |  |  |  |  | 0.899999976158142
[NAME] | BFA | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.89999997615814 |  |  |  |  |  |  |  |  |  |  |  |  | 2.29999995231628 |  |  |  |  |  |  |  | 2.90000009536743
Bangladesh | BGD | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.19999980926514 |  |  |  |  |  |  |  |  |  | 4.09999990463257 |  |  | 5.59999990463257 |  |  |  |  |  | 0.400000005960464
Bahamas, The | BHS | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 15.5 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 29.5 | 27.3999996185303 | 21.7999992370605 | 23 | 25.6000003814697 | 26 | 26.3999996185303
Belarus | BLR | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.5
Belize | BLZ | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.5 |  |  |  |  |  |  |  |  | 3.09999990463257
Bolivia | BOL | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.70000004768372
Bhutan | BTN | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Central African Republic | CAF | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Canada | CAN | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Central Europe and the Baltics | CEB | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.04526983547359 | 11.01647331957426 | 10.07421223061304 | 9.465969828108374 | 8.548226819771573 | 8.713986005340368 | 10.30127817781371 | 11.8452898006683 | 13.01075445092351 | 13.42568831919155 | 12.65817936677792 | 12.62513245096479 | 11.47651995720591 | 9.671275223563265 | 7.449055865567503 | 6.286420876475913 | 8.523311586631253 | 10.02590311090805 | 9.719417773340746 | 9.862684774061728
Europe and Central Asia (IFC classification) | CEU | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Switzerland | CHE | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Chile | CHL | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Cote d'Ivoire | CIV | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Latin America and the Caribbean (IFC classification) | CLA | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Middle East and North Africa (IFC classification) | CME | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Cameroon | CMR | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9.5 |  |  |  |  | 8.19999980926514 |  |  |  | 4.19999980926514 |  | 2.5 |  |  | 3.09999990463257
Congo, Rep. | COG | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Colombia | COL | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21.2999992370605
Cabo Verde | CPV | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 23.2999992370605
Costa Rica | CRI | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Caribbean small states | CSS | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.07210489886367 | 11.25752180374201 | 12.32914482677087 | 13.32855983350925 | 12.14426197271799 | 11.89145955796548 | 10.79752839099721 | 10.82430183932953 | 10.04031297621878 | 9.974612596065159 |  | 9.52949844251606 | 9.114168869390568 | 8.524897754104492 | 7.976555989160018 | 7.327088372749541 | 6.42963370390702 | 5.355789621412523 | 6.38399400013934
Cuba | CUB | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Cayman Islands | CYM | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.30000019073486 |  |  |  |  |  | 3.20000004768372 |  |  |  |  |  |  |  |  | 2.5 | 3.5 | 3.79999995231628
Cyprus | CYP | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.9000015258789 |  |  |  |  |  |  |  |  |  |  | 54.5999984741211
Dominica | DMA | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.90000009536743 |  | 9.89999961853027 |  |  |  |  |  | 19.6000003814697 |  | 13.1000003814697 |  | 12
Denmark | DNK | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
East Asia & Pacific (all income levels) | EAS | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Europe & Central Asia (developing only) | ECA | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9.916510126246225 | 9.283839405943857 | 10.33567063240515 | 10.29195347686625 | 9.791643048817598 | 9.976048676435909 | 9.400643293240764 | 9.41529139490071 | 9.276696618429419 | 8.99198186691111 | 11.3153551058098 | 10.6782355421695 | 9.858395356253292 | 9.375726199768376
Europe & Central Asia (all income levels) | ECS | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.553104285875404 | 8.859002401833903 | 9.601342162543265 | 9.134008511103826 | 9.269019176583704 | 9.64440084325802 | 9.582542185921493 | 9.602115630510545 | 8.731296731565035 | 8.485274718652406 | 8.536780204210169 | 8.62288978843491 | 8.646789593488325 | 8.292497220382469 | 7.880567806615835 | 7.11343592845904 | 7.046654145467298 | 9.50229271096392 | 9.485863875480003 | 9.044086867385968 | 9.2779075737149
Ecuador | ECU | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.016250072102546 | 6.510921007659845 | 7.188338169112469 | 8.979467373898379 | 9.83095643129095 | 9.43797695505553 | 9.801736697613052 | 9.80488256228655 | 9.189248959061613 | 8.575284929158848 | 7.680807474172764 | 7.010055513555103 | 7.507304843555197 | 7.818760223295804 | 8.10909952839252 | 8.081057376915957 | 7.40016660317261 | 6.601546041774008 | 6.834438686618466 | 9.329354323571197 | 9.915082704205409 | 9.919892454446014 | 11.22058160909142
Eritrea | ERI | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Spain | ESP | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1 |  |  |  |  |  |  | 1.10000002384186 |  |  | 3 |  |  |  |  | 4.40000009536743 |  |  |  |  | 15.8000001907349 | 2.70000004768372 | 11.6999998092651
European Union | EUU | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.833389637499073 | 8.335640647230699 | 9.958275825219259 | 10.23308465900006 | 9.568585339569058 | 9.61211636898211 | 9.234035807463815 | 8.656302374442589 | 8.525266690107854 | 8.13168228329675 | 7.806104274140841 | 8.27717711655323 | 8.340556749474757 | 8.479297200343359 | 8.255454411168776 | 7.558995382596829 | 6.574172523948941 | 6.521345532375953 | 8.97681528973374 | 9.617643777831223 | 9.53800512028069 | 10.4373664231727
Fragile and conflict affected situations | FCS | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Finland | FIN | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5 |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.80000019073486 |  |  |  |  |  |  |  | 4.09999990463257 | 4.09999990463257 |  | 6.40000009536743
France | FRA | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.59999990463257
Micronesia, Fed. [NAME]. | FSM | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Gabon | GAB | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19.1000003814697
United Kingdom | GBR | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.70000004768372 |  |  |  |  |  |  | 9.39999961853027 | 10.1000003814697 |  |  |  |  |  | 3.5 |  |  |  | 3.90000009536743
Guinea | GIN | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.59999990463257
Gambia, The | GMB | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Guinea-Bissau | GNB | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Equatorial Guinea | GNQ | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 27.3999996185303
Greece | GRC | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 18.5 |  | 10 |  | 10.6000003814697 |  |  | 9.60000038146973
Greenland | GRL | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.5 |  |  |  |  | 10.3999996185303
High income | HIC | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.456669571000445 | 6.109734078617937 | 6.803109946417383 | 7.325877252784147 | 7.520858493732114 | 7.228999092687284 | 7.358397310776385 | 7.322448984897008 | 7.409576064207909 | 7.290763810763829 | 6.634233644251975 | 6.581447364333195 | 6.955784752462825 | 7.208893596203061 | 6.876288663269555 | 6.50266088256253 | 6.00000906908109 | 5.458785776180886 | 5.754260368882517 | 8.29249582753407 | 8.586912637453544 | 7.86283907883712 | 7.777422193066206
Hong Kong SAR, China | HKG | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Croatia | HRV | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.1999998092651 | 11.1999998092651 |  |  |  |  | 19.1000003814697 |  | 11.8999996185303 |  |  |  |  |  |  |  |  | 6.19999980926514
Hungary | HUN | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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 | 6.14834669539199 | 6.41863504985935 | 5.75260625853554
Isle of Man | IMN | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.69999980926514 |  |  |  |  | 4.30000019073486 |  |  |  |  | 1.70000004768372 |  |  |  |  | 2.79999995231628
India | IND | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Ireland | IRL | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 30.2000007629395 | 29.3999996185303 | 19.2000007629395 | 16.2000007629395 |  | 14.3000001907349
Iceland | ISL | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Kyrgyz Republic | KGZ | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.1999998092651 | 9.39999961853027 | 8 | 7.40000009536743 | 7.69999980926514 | 7.59999990463257 | 7.30000019073486
Cambodia | KHM | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
St. Kitts and Nevis | KNA | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.30000019073486
Korea, Rep. | KOR | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.9933534817231 |  | 5.47003815525342 | 5.586614672530354 |  | 6.787320287636307 | 6.996041312403902 | 6.583868800157076 | 7.149169344507742 | 7.791073441952874 |  | 7.50091731837991 | 7.720928475158298 | 7.644194382637447 | 6.789983204176857 | 6.523580770987858 | 5.691555177460481 | 5.466454762144824 | 5.116710417383488 | 6.179037011518731 |  | 5.450676365622619
Lao PDR | LAO | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.59999990463257 |  |  |  |  |  |  |  |  |  | 1.29999995231628
Lebanon | LBN | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.30000019073486 |  |  | 8.60000038146973
Liberia | LBR | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.80000019073486 |  |  | 3.40000009536743
Libya | LBY | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
St. Lucia | LCA | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.138599507545128 |  | 5.566869584715798 | 5.691189753623699 |  | 6.810654580456771 | 7.025735667120742 | 6.620852949524352 | 7.166453369961073 | 7.885290668230326 |  | 7.603161029857564 | 7.818308090927255 | 7.722827975395756 | 6.851431675557056 | 6.589074860406439 | 5.763270662861181 | 5.531194309253146 | 5.207733826601247 | 6.327601492913402 |  | 5.53222100876756
Latin America and the Caribbean | LCR | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Least developed countries: UN classification | LDC | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Low income | LIC | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
[NAME] | LIE | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
[NAME] | LKA | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.138466778572443 | 3.594893767856622 | 3.600139269232065 | 3.843662512185948 | 4.565286745122306 |  | 5.234300324897056 |  |  |  |  | 5.455132530028472 |  |  |  |  | 4.410444671876086 |  | 4.276679560328172
Low & middle income | LMY | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
[NAME] | LSO | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.1000003814697 |  |  |  |  |  |  |  |  |  |  | 30.7000007629395 |  | 21.5 |  |  |  |  |  |  |  |  | 23
Lithuania | LTU | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Morocco | MAR | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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
Mexico and Central America | MCA | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Monaco | MCO | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.5
Moldova | MDA | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6 | 5.30000019073486 |  | 3.79999995231628 |  | 1.70000004768372
Maldives | MDV | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.600000023841858 |  |  |  |  | 1.60000002384186 |  |  |  |  |  | 7.90000009536743
Middle East & North Africa (all income levels) | MEA | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.67124206074336 |  |  |  |  |  |  |  |  |  |  | 9.431250184537676 |  | 12.24414622524755 | 10.6482330282501 | 8.96909253598961 | 8.341754487547387 | 8.107385762807022 | 6.668065792592417
Mexico | MEX | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9 |  |  |  |  |  |  |  | 12.1999998092651 |  |  |  |  |  |  |  |  |  |  | 27.6000003814697
Middle income | MIC | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Macedonia, FYR | MKD | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.29999995231628 |  |  |  |  |  |  | 7.19999980926514
Malta | MLT | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.69999980926514
Middle East & North Africa (developing only) | MNA | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.75020704476034 |  |  |  |  |  |  |  |  |  |  | 10.02867680182803 |  | 12.39870632587446 | 11.08467606706018 | 9.832739649767847 | 9.009881028636276 | 9.127131538730193
Montenegro | MNE | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 26.2000007629395 |  | 18.1000003814697 | 15.8999996185303 | 18 | 18.8999996185303 | 19.5 | 18.8999996185303
Mongolia | MNG | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.3000001907349 | 10.5 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.40000009536743 |  |  | 5 |  | 7.30000019073486
Mozambique | MOZ | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.40000009536743
Mauritania | MRT | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21.8999996185303 |  |  |  |  |  |  |  |  |  |  |  | 8.89999961853027 |  |  |  |  |  |  |  | 23.8999996185303
[NAME] | MUS | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.90000009536743 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.40000009536743
Malaysia | MYS | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.960160247308676 | 7.483801814835826 | 8.318008421547594 | 7.677485483367947 | 6.676293071700491 | 6.020673237116599 | 5.848949276554154 | 5.328284712690688 | 4.807714472207205 | 4.468693258332985 | 4.199063046650109 | 5.070511266486367 | 6.124196333585347 | 6.465681999733444 | 5.797138606622387 | 5.29679239776316 | 4.795323719891967 | 4.876141759355608 | 6.141807231428656 | 10.20549626050781 | 10.30900734083365 | 9.229246467960488 | 8.14654409155913
Namibia | NAM | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 16.2999992370605
[NAME] | NER | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.59999990463257 |  |  |  |  |  | 1.70000004768372
Nigeria | NGA | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.70000004768372
Nicaragua | NIC | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.559169508991162 | 6.013391487080623 | 8.065041804221769 | 9.152445132501597 | 9.85164485609122 | 11.36570178375128 | 12.66753281256878 | 11.69921257393273 | 9.726304349400003 | 8.901952727974088 | 8.007454700622901 | 8.769581818035993 | 8.017638635976592 | 7.090430062749442 | 6.739404270290039 | 5.835011013727791 | 5.530447713160584 | 7.457231709856742 | 7.90842540420519 | 6.349369401740405 | 5.679790804706168
Norway | NOR | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2 |  | 7.40000009536743 |  |  |  |  |  |  | 3.09999990463257
New Zealand | NZL | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.426863876837158 | 6.062205613224091 | 7.043094799593694 | 7.543745969598325 | 7.432935894752729 | 6.91095080683354 | 6.945769130102547 | 6.668585841057594 | 6.55980568759371 | 6.465891709164858 | 6.038769131117384 | 6.145806131423388 | 6.758870790604134 | 6.948357701396926 | 6.68678787034682 | 6.3985205517435 | 5.85514499218475 | 5.383926602060407 | 5.802026247969721 | 8.47256389044393 | 8.70267194504549 | 8.171585570696179 | 8.196577617583898
OECD members | OED | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.564439091670321 | 5.907869747254257 | 6.819031472187664 | 7.283058235888815 | 7.262001100844535 | 6.915436527408404 | 6.766964871963093 | 6.379541963669161 | 6.285423534033797 | 6.151293576882005 | 5.749462739301092 | 5.928032964503799 | 6.58200940201742 | 6.751180986171673 | 6.57576128202847 | 6.343715453317784 | 5.814966357112244 | 5.435430443825316 | 5.841485971758618 | 8.494126720794037 | 8.542850072552582 | 7.981079812957429 | 7.912009822502422
Oman | OMN | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Other small states | OSS | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Pakistan | PAK | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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 |  |  | 5.1 |  | 5.4
Panama | PAN | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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 | 7.6 | 7.30000019073486 | 7.2
Palau | PLW | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.70000004768372
[NAME] | PNG | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9 |  |  |  |  |  |  |  |  |  | 4.30000019073486
Poland | POL | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Portugal | PRT | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
French Polynesia | PYF | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.19999980926514 |  |  |  |  |  |  |  | 11.5 |  |  |  |  |  | 11.8999996185303 |  |  |  |  | 11
Qatar | QAT | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1 |  | 0.600000023841858 |  |  |  |  | 0.899999976158142
South Asia | SAS | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.678873415964895 | 2.638122410761837 | 2.523238927727835 | 2.818654466504798 | 3.611325736373449 |  | 4.3298312884267 |  |  |  |  | 4.092976709379939 |  |  |  |  | 3.30287484009233 |  | 3.38994001262259
Saudi Arabia | SAU | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.40000009536743 |  |  |  |  |  |  | 3.70000004768372 | 3.79999995231628 | 3.90000009536743 | 4.19999980926514 |  |  |  | 4.69999980926514 | 4.19999980926514 | 3.5 | 3.5 |  | 2.90000009536743 | 3.20000004768372
[NAME] | SCE | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Sudan | SDN | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.6999998092651
Senegal | SEN | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7.90000009536743
Singapore | SGP | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 31
Sierra Leone | SLE | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.5
El Salvador | SLV | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Serbia | SRB | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
South Sudan | SSD | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Sub-Saharan Africa (all income levels) | SSF | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Small states | SST | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Sao Tome and Principe | STP | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.400000005960464 | 0.699999988079071 | 0.5 | 0.400000005960464 | 0.200000002980232 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.5 |  |  |  |  |  | 11
Suriname | SUR | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 20.3999996185303 |  | 20
Sint Maarten (Dutch part) | SXM | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Seychelles | SYC | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.60000038146973 |  |  |  | 15.1999998092651 |  |  |  |  |  |  |  |  | 8.60000038146973 |  |  |  |  |  |  |  |  |  |  | 6.09999990463257
Syrian Arab Republic | SYR | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Chad | TCD | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.10000002384186
Togo | TGO | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Thailand | THA | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.3000001907349
Turkmenistan | TKM | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Timor-Leste | TLS | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8 |  |  |  |  |  | 5.09999990463257 |  |  | 3.20000004768372
Tonga | TON | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3.59999990463257
Trinidad and Tobago | TTO | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.90000009536743 |  |  | 4.90000009536743
Tanzania | TZA | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.79999995231628 |  |  |  |  |  |  |  |  |  | 4.40000009536743 | 4.69999980926514 |  |  |  | 2.79999995231628 |  |  | 2.20000004768372 |  | 2.70000004768372
Uganda | UGA | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.29999995231628 |  |  |  |  |  |  |  |  |  |  | 2.59999990463257 | 2.5 |  | 1.79999995231628 |  |  |  | 3.09999990463257
Ukraine | UKR | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Uruguay | URY | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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 | 5.50959931292714 | 5.30000019073486 | 4.80000019073486 | 4.90000009536743
United States | USA | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
St. Vincent and the Grenadines | VCT | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 23 |  |  |  |  |  |  |  |  |  |  | 18.3999996185303 |  |  |  |  |  |  |  |  |  | 22.6000003814697
Venezuela, RB | VEN | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Vietnam | VNM | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.09999990463257
West Bank and Gaza | PSE | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Samoa | WSM | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.40000009536743 |  |  |  |  | 1.10000002384186 |  |  |  |  | 5.19999980926514
Yemen, Rep. | YEM | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.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) (national estimate) | SL.UEM.TOTL.MA.NE.ZS
Zambia | ZMB | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.69999980926514 |  |  |  | 11.6999998092651 | 16.2999992370605 |  | 18.8999996185303 |  |  | 14.8999996185303 |  | 13 |  | 14.1000003814697
Zimbabwe | ZWE | Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10.8000001907349 |  |  |  |  | 6.5 |  |  |  |  |  |  | 6.80000019073486 |  |  | 8.69999980926514 |  | 7.30000019073486 |  |  | 10.3999996185303 |  | 4.19999980926514