Spreadsheet: 47965c23-21a6-4c2a-960f-9b55c8baae35
Sheet: Sheet1

Data Source | World Development Indicators | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11 | Unnamed: 12 | Unnamed: 13 | Unnamed: 14 | Unnamed: 15 | Unnamed: 16 | Unnamed: 17 | Unnamed: 18 | Unnamed: 19 | Unnamed: 20 | Unnamed: 21 | Unnamed: 22 | Unnamed: 23 | Unnamed: 24 | Unnamed: 25 | Unnamed: 26 | Unnamed: 27 | Unnamed: 28 | Unnamed: 29 | Unnamed: 30 | Unnamed: 31 | Unnamed: 32 | Unnamed: 33 | Unnamed: 34 | Unnamed: 35 | Unnamed: 36 | Unnamed: 37 | Unnamed: 38 | Unnamed: 39 | Unnamed: 40 | Unnamed: 41 | Unnamed: 42 | Unnamed: 43 | Unnamed: 44 | Unnamed: 45 | Unnamed: 46 | Unnamed: 47 | Unnamed: 48 | Unnamed: 49 | Unnamed: 50 | Unnamed: 51 | Unnamed: 52 | Unnamed: 53 | Unnamed: 54 | Unnamed: 55 | Unnamed: 56 | Unnamed: 57
Country Name | Country Code | Indicator Name | Indicator Code | 1961 | 1962 | 1963 | 1964 | 1965 | 1966 | 1967 | 1968 | 1969 | 1970 | 1971 | 1972 | 1973 | 1974 | 1975 | 1976 | 1977 | 1978 | 1979 | 1980 | 1981 | 1982 | 1983 | 1984 | 1985 | 1986 | 1987 | 1988 | 1989 | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014
Aruba | ABW | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 89.6999969482422 |  |  | 87.5 |  |  |  |  |  | 86.5 |  |  |  |  |  |  | 87.5
Andorra | AND | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Afghanistan | AFG | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Angola | AGO | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Albania | ALB | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 38.7000007629395 | 45.9000015258789 | 47.0999984741211 | 48.5
Andean Region | ANR | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Arab World | ARB | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
United Arab Emirates | ARE | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 96.5999984741211 |  |  | 95.0999984741211 | 94.9000015258789
Argentina | ARG | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 68.4000015258789 | 69.5999984741211 | 68.8000030517578 | 67.3000030517578 | 69.0999984741211 | 68 | 68.5 | 69.5999984741211 | 69.9000015258789 | 70.0999984741211 | 69.5999984741211 | 68.8000030517578 | 67 | 69.9000015258789 | 70.8000030517578 | 71.1999969482422 | 72.5 | 73.1999969482422 | 73.1999969482422 | 73 | 73.5 | 73.8000030517578 | 74
Armenia | ARM | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 63.0999984741211 | 60.4000015258789 | 62.2999992370605 | 59.2999992370605
American Samoa | ASM | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 97
[NAME] and [NAME] | ATG | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 77.9000015258789 |  |  |  |  |  |  |  |  |  | 77.4000015258789
Australia | AUS | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 82.3000030517578 | 82.3000030517578 | 82.8000030517578 | 82.8000030517578 | 82.0999984741211 | 81.5 | 81 | 81.6999969482422 | 82.0999984741211 | 82.4000015258789 | 82.5999984741211 | 82.9000015258789 | 82.9000015258789 | 83.3000030517578 | 83.4000015258789 | 83.4000015258789 | 83.8000030517578 | 84.0999984741211 | 84.5 | 84.9000015258789 | 85.5 | 85.9000015258789 | 85.9000015258789 | 86.0999984741211 | 86.6999969482422
Austria | AUT | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 85.5999984741211 | 85.4000015258789 | 85.6999969482422 | 85.6999969482422 | 85.9000015258789 | 85.6999969482422 | 85.6999969482422 | 85.4000015258789 | 85.6999969482422 | 85.1999969482422 | 84.8000030517578 | 84.6999969482422 | 83.9000015258789 | 84.3000030517578 | 84.5 | 84.0999984741211 | 84.0999984741211 | 84.5
Azerbaijan | AZE | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 34.2999992370605 | 33.2000007629395 | 33.7999992370605 | 47.5 | 50.7000007629395 | 47.7000007629395 |  |  |  | 37.4000015258789
Burundi | BDI | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9.60000038146973
Belgium | BEL | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 83.9000015258789 | 83.4000015258789 | 83 | 82.0999984741211 | 80.8000030517578 | 80.3000030517578 | 80.9000015258789 | 81 | 81.3000030517578 | 79.8000030517578 | 79.9000015258789 | 81.5 | 81.1999969482422 | 80.8000030517578 | 80.6999969482422 | 81 | 80.5999984741211 | 81.3000030517578 | 81 | 81.8000030517578 | 82.3000030517578 | 83.1999969482422 | 83.0999984741211 | 83 | 83 | 82.5 | 82.4000015258789 | 82.5999984741211 | 83 | 82.3000030517578 | 82.6999969482422 | 82.5 | 82.4000015258789
Benin | [NAME] | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 16.2999992370605
[NAME] | BFA | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.40000009536743 |  |  |  |  |  |  |  |  | 5.80000019073486 |  |  |  |  |  |  |  |  | 8.39999961853027 |  |  | 9.69999980926514
Bangladesh | BGD | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.6999998092651 |  |  |  | 15.1999998092651 |  |  | 13.8000001907349 |  | 14.5
Bulgaria | BGR | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 80.0999984741211 | 81.1999969482422 | 81.5999984741211 | 80.5999984741211 | 80.9000015258789 | 83.0999984741211 | 84.0999984741211 | 84.9000015258789 | 85.3000030517578 | 85.1999969482422 | 85 | 85.5 | 85.9000015258789
Bahrain | BHR | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 95.1999969482422 | 95.3000030517578 | 94.5 | 95.4000015258789 | 95.3000030517578 | 95.5999984741211 | 95.6999969482422 | 95.8000030517578 | 96.1999969482422
Bahamas, The | BHS | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 84.3000030517578 | 81.5 | 82.4000015258789 | 81.8000030517578 | 83.0999984741211 | 78.4000015258789 | 80.6999969482422 | 81 | 78.9000015258789 |  | 80.5999984741211 | 79.3000030517578 | 81.4000015258789 | 81.5999984741211 |  |  |  | 82.9000015258789 |  |  | 80.5
Bosnia and Herzegovina | BIH | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 72.1999969482422 | 72.6999969482422 | 72.5999984741211 | 74.0999984741211 | 74.4000015258789 | 75 | 72.8000030517578
Belarus | BLR | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 93.5
Belize | BLZ | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 67.8000030517578 | 66.9000015258789 | 65.5 | 61.7000007629395 | 61.7999992370605 | 64 | 62.0999984741211 |  |  |  |  |  | 66.9000015258789
Bermuda | BMU | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Bolivia | BOL | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 60.2999992370605 | 62.7000007629395 | 63.4000015258789 | 62.4000015258789 | 63 | 62.2000007629395 | 59 | 57.2999992370605 | 53.0999984741211 |  | 37 | 36.0999984741211 | 37.7000007629395 | 36.2000007629395 | 44 | 44 | 41.4000015258789 | 39.2000007629395 | 43.0999984741211 | 42.5 | 46.2000007629395
Brazil | BRA | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 64.6999969482422 |  | 60.9000015258789 | 61.0999984741211 |  | 60 | 60.5 |  |  |  | 62.4000015258789 | 60.0999984741211 | 60.2999992370605 | 60.0999984741211 | 60.9000015258789 | 61.2999992370605 | 61.9000015258789 | 63 | 64.1999969482422 | 64.3000030517578
Barbados | BRB | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 84.5999984741211 | 84.0999984741211 | 83.8000030517578 | 82.4000015258789 | 83.5999984741211 | 83.9000015258789 | 83.5999984741211 | 83.5999984741211 | 83.4000015258789 | 81.4000015258789 | 82.5999984741211 | 81.3000030517578 | 81.0999984741211 | 80.0999984741211 | 79.5
[NAME] | BRN | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 94.4000015258789
Bhutan | BTN | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 40.9000015258789 |  |  | 36 | 38.5 | 39.9000015258789 | 41.2000007629395
Botswana | BWA | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 54 |  |  |  |  |  |  |  |  |  | 67.1999969482422 |  |  |  |  |  |  |  |  |  |  |  | 62.2000007629395
Sub-Saharan Africa (IFC classification) | CAA | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Central African Republic | CAF | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Canada | CAN | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 90.0999984741211 | 90 | 89.1999969482422 | 88.8000030517578 | 88.9000015258789 | 88.1999969482422 | 88.9000015258789 | 82.8000030517578 | 82.5999984741211 | 83 | 82.3000030517578 | 81.3000030517578 | 81.1999969482422 | 80.4000015258789 | 80.6999969482422 | 80.8000030517578 | 80.0999984741211 | 79.5999984741211 | 79.5999984741211 | 79.5999984741211 | 80.5999984741211 | 81.3000030517578 | 81.3000030517578 | 81.1999969482422 | 81 | 80.9000015258789 | 81.4000015258789 | 80.8000030517578 | 80.9000015258789 | 89.5 | 89.8000030517578 | 90.0999984741211
East Asia and the Pacific (IFC classification) | CEA | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Central Europe and the Baltics | CEB | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 72.53330936737967 | 73.6104389630084 | 73.33791653476054 | 73.03785169593466 | 72.75774395825667 | 72.78075630201722 | 71.93466279733134 | 71.7016400519155 | 71.58850404150644 | 73.16917968952284 | 73.16355977583952 | 74.17911644301866 | 74.72236277517534 | 75.72459415137939 | 76.41366638612811 | 76.93923960860656 | 76.52643449474863 | 75.78016067538894 | 76.38007490365472 | 76.49687995307623
Europe and Central Asia (IFC classification) | CEU | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Switzerland | CHE | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 83.9000015258789 | 84.3000030517578 | 82.8000030517578 | 83.3000030517578 | 82.0999984741211 | 80.5 | 79.9000015258789 | 80.4000015258789 | 80 | 79.8000030517578 | 80.5999984741211 | 80.8000030517578 | 80.1999969482422 | 81.1999969482422 | 81.8000030517578 | 82.0999984741211 | 82 | 81.9000015258789 | 82.8000030517578 | 82.5999984741211 | 82.8000030517578 | 82.9000015258789
Channel Islands | CHI | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Chile | CHL | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 70.9000015258789 |  | 71.5 |  | 72.3000030517578 |  | 67.6999969482422 | 68.5 | 67.4000015258789 | 66.6999969482422 | 66.6999969482422 | 66.3000030517578 | 66.0999984741211 | 65.6999969482422 | 66.1999969482422 | 67.8000030517578 | 69.5999984741211 | 70.8000030517578 | 71.8000030517578 | 70.9000015258789 | 72.5 | 72.6999969482422
China | CHN | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Cote d'Ivoire | CIV | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 25.3999996185303
Latin America and the Caribbean (IFC classification) | CLA | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Middle East and North Africa (IFC classification) | CME | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Cameroon | CMR | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 22.2999992370605 |  |  |  |  | 29.2999992370605 |  |  |  |  |  |  |  |  | 28.6000003814697
Congo, Rep. | COG | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 35.5
Colombia | COL | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 64.9000015258789 | 65.1999969482422 | 66.5999984741211 | 62.7999992370605 | 63 | 61.0999984741211 | 61.7000007629395 | 58.2000007629395 | 50.4000015258789 | 45.7000007629395 | 46.4000015258789 | 48.7000007629395 | 47.5999984741211 | 47.7999992370605 | 49.7000007629395 | 53.2999992370605 | 47.2000007629395 | 46.7999992370605 | 45.2999992370605 | 46 | 46.5
Comoros | COM | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Cabo Verde | CPV | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 43.7999992370605
Costa Rica | CRI | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 66.6999969482422 | 67.5 | 67.5999984741211 | 67.0999984741211 | 67.5 | 69.0999984741211 | 70.0999984741211 | 70 | 69.5 | 68.5 | 68 | 68.6999969482422 | 69.1999969482422 | 68.0999984741211 | 67.5 |  | 68.5999984741211 | 67.8000030517578 | 70.5 | 69 | 71.3000030517578 | 71.4000015258789 | 71.4000015258789 | 74 | 74.1999969482422 | 73.9000015258789
South Asia (IFC classification) | CSA | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Caribbean small states | CSS | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 62.41828715408386 | 60.29267003900733 | 62.84043436422248 | 63.30275544895243 | 64.99631748392007 | 64.76248307337217 | 64.68678116515483 | 65.23144567128014 | 64.03780337892042 |  | 64.65531977689635 | 65.2905133047822 | 65.36421792402675 | 66.33065169324044
Cuba | CUB | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 79.5999984741211 | 79.9000015258789 | 78.9000015258789 | 77.6999969482422 | 76.0999984741211 | 75.1999969482422 | 73.9000015258789 | 73.8000030517578 | 73.3000030517578 | 73 | 73.8000030517578 | 76.0999984741211 | 76.6999969482422 | 77.0999984741211 | 77.5999984741211 | 77.5 | 70.3000030517578
[NAME] | CUW | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Cayman Islands | CYM | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 86.4000015258789 | 89.3000030517578 | 86.9000015258789
Cyprus | CYP | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 71.0999984741211 | 70.1999969482422 | 70.5 | 71.3000030517578 | 69.9000015258789 | 70.0999984741211 | 71.3000030517578 | 73.3000030517578 | 73.9000015258789 | 74.4000015258789 | 75.1999969482422 | 76.4000015258789 | 76.6999969482422 | 78.3000030517578
Czech Republic | CZE | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 84.4000015258789 | 83.8000030517578 | 83.0999984741211 | 82.6999969482422 | 84.5 | 83.0999984741211 | 81.8000030517578 | 81 | 80.8000030517578 | 79.9000015258789 | 78.1999969482422 | 78.5 | 79.6999969482422 | 79.8000030517578 | 79.5999984741211 | 79.8000030517578 | 79.1999969482422 | 78.0999984741211 | 78.0999984741211 | 77.8000030517578
Germany | DEU | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 87.6999969482422 | 87.5 | 87.5999984741211 | 87.6999969482422 | 87.9000015258789 | 88.0999984741211 | 88.1999969482422 | 88.0999984741211 | 89.0999984741211 | 88.5999984741211 | 88.1999969482422 | 87.6999969482422 | 87.6999969482422 | 87.4000015258789 | 87 | 86.9000015258789 | 86.9000015258789 | 86.8000030517578 | 86.8000030517578 | 86.6999969482422 | 86.0999984741211 | 85.3000030517578 | 85.1999969482422 | 85.5 | 85.6999969482422 | 86 | 85.6999969482422 | 85.6999969482422 | 85.5999984741211 | 85.6999969482422
Djibouti | DJI | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 72.8000030517578
Dominica | DMA | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 56.7000007629395 |  |  |  |  |  | 61.7000007629395 |  | 54.2000007629395 |  | 63.5999984741211
Denmark | DNK | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 81.5 | 84.0999984741211 | 84.5999984741211 | 85.6999969482422 | 85.5 | 85.8000030517578 | 85.5 | 85 | 86 | 86.1999969482422 | 86 | 87.6999969482422 | 87.8000030517578 | 88 | 87.5999984741211 | 87.4000015258789 | 87.9000015258789 | 87.9000015258789 | 87.5 | 87.9000015258789 | 87.9000015258789 | 88.0999984741211 | 88.0999984741211 | 88.0999984741211 | 87.6999969482422 | 87.8000030517578 | 87.0999984741211 | 87.6999969482422 | 87.5999984741211 | 87.6999969482422
Dominican Republic | DOM | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 52.7999992370605 | 52.5 | 54 | 56.0999984741211 | 53.2999992370605 | 50 | 48.7000007629395 | 47.9000015258789 | 46.2000007629395 | 49.7000007629395 | 48.5 | 47.0999984741211 | 46.4000015258789 | 47.7999992370605 | 45.7000007629395 | 45.5 | 46.5 | 44.5999984741211 | 43.0999984741211 | 39.2999992370605
Algeria | DZA | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 61.4000015258789 |  | 64.5999984741211 | 61.9000015258789 | 36 |  |  | 34.0999984741211 | 32 | 32.4000015258789 | 65.5999984741211
East Asia & Pacific (developing only) | EAP | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
East Asia & Pacific (all income levels) | EAS | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Europe & Central Asia (developing only) | ECA | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 65.97782483100028 | 67.21947024223005 | 65.64059192007794 | 65.08762707786825 | 66.1992810206044 | 68.91474570046955 | 69.84372814389303 | 69.53790416035234 | 70.3237875984285 |  | 70.95980211290745 | 69.85560813447353
Europe & Central Asia (all income levels) | ECS | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 78.78664807824258 | 79.31769457480779 | 78.93912416453848 | 79.77230010407662 | 79.76922641864267 | 79.6973320764021 | 79.43890152222058 | 78.9735867991792 | 79.3646671227276 | 79.33443870303232 | 79.66263408920696 | 78.9721317790822 | 78.69164513843828 | 79.0267841286088 | 79.73972010147338 | 80.14942589846508 | 80.17179892235951 | 77.5509977492767 | 77.13198215379116 | 77.73908044210938 | 77.21435900921783
Ecuador | ECU | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 61.7999992370605 | 60.7000007629395 | 59.7000007629395 | 60.9000015258789 | 57.5999984741211 | 58.9000015258789 | 59.2999992370605 | 59.5 | 57.7999992370605 | 59 | 59.5999984741211 | 60.7999992370605 | 55.9000015258789 | 55 |  | 58.2000007629395 | 55.5999984741211 | 56.2999992370605 | 57.0999984741211 | 58.2999992370605 | 59.7000007629395 | 58 | 58.7000007629395 | 56.9000015258789 | 38
Egypt, Arab Rep. | EGY | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 57.2999992370605 | 58.2000007629395 | 58.0999984741211 |  | 61 | 59.5999984741211 | 60.4000015258789 | 60.5999984741211 | 60.7999992370605 | 58.4000015258789 | 58.2000007629395 | 58.2999992370605 | 62.2000007629395 | 63.7000007629395 | 61.4000015258789 |  | 63.2000007629395 | 64.6999969482422
Euro area | EMU | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 79.69472452727612 | 79.34430095257805 | 79.36346434589754 | 79.18712268640166 | 79.46226186960342 | 79.36565282578964 | 79.39865310183184 | 79.63271695035758 | 79.99988588383673 | 80.29720760302207 | 80.48166583226717 | 80.54848272148239 | 80.27427686270356 | 80.02309666240077 | 80.16325821292821 | 80.2223179386419 | 80.37146012927397 | 80.71285964093647 | 80.48581473686805 | 80.24539825398628 | 80.38644856391268 | 80.30413355342333
Eritrea | ERI | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Spain | ESP | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 72.1999969482422 | 72 | 71.8000030517578 | 71.4000015258789 | 69.8000030517578 | 70.1999969482422 | 71.1999969482422 | 70.6999969482422 | 71.5999984741211 | 72.5999984741211 | 73.6999969482422 | 74.3000030517578 | 73.5 | 73.1999969482422 | 72.8000030517578 | 73.6999969482422 | 73.8000030517578 | 74.5999984741211 | 75.5999984741211 | 76.5 | 77.9000015258789 | 78 | 78.5999984741211 | 79.4000015258789 | 79.3000030517578 | 79.1999969482422 | 79.3000030517578 | 79.4000015258789 | 79.1999969482422 | 79.8000030517578 | 79.5999984741211 | 80 | 78.5999984741211
Estonia | EST | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 97.8000030517578 | 96.6999969482422 | 95.0999984741211 | 92.5 | 89.6999969482422 | 88.5 | 91.0999984741211 | 90.1999969482422 | 89.4000015258789 | 88.6999969482422 | 88.8000030517578 | 89.6999969482422 | 89.8000030517578 | 90.5 | 89 | 86.3000030517578 | 88.8000030517578 | 88.8000030517578 | 87.5 | 89.5 | 88.5999984741211 | 88.5999984741211 | 88.1999969482422 | 87.9000015258789
Ethiopia | ETH | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2 |  |  |  |  |  | 4.30000019073486 |  |  |  |  |  |  | 7 |  |  |  |  | 9.5 |  |  |  |  |  | 9.30000019073486
European Union | EUU | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 79.9456667671338 | 78.57208135511834 | 78.62118460450512 | 78.47766175870852 | 78.5734811637311 | 78.43835717554126 | 78.48284335385866 | 78.74941245586717 | 78.8194071582731 | 79.02286477910272 | 79.15967286781218 | 79.52432337934717 | 79.28001016012375 | 79.26534750905954 | 79.48522423250576 | 79.69477924111054 | 79.89954798127634 | 80.21999349584773 | 79.98715114192953 | 79.65064538295748 | 79.8579656415747 | 79.71189278757879
Fragile and conflict affected situations | FCS | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Finland | FIN | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 81.3000030517578 | 81.5999984741211 | 81.5999984741211 | 81.4000015258789 | 82 | 82.6999969482422 | 82.1999969482422 | 81.4000015258789 | 81.3000030517578 | 80.1999969482422 | 80.5 | 80.5 | 79.5 | 79 | 78.9000015258789 | 79.6999969482422 | 78.4000015258789 | 79.1999969482422 | 80.1999969482422 | 82.4000015258789 | 82.3000030517578 | 83.3000030517578 | 83.5 | 83.5 | 83.6999969482422 | 83.5 | 83 | 83.4000015258789 | 83.3000030517578 | 82 | 82.4000015258789 | 82.4000015258789 | 82
Fiji | FJI | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 59.7000007629395 |  | 59.7999992370605 | 59.4000015258789 |  | 64.9000015258789 | 58.9000015258789
France | FRA | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 82.6999969482422 | 82.9000015258789 | 83.3000030517578 | 81.9000015258789 | 81.4000015258789 | 81.8000030517578 | 81.6999969482422 | 81.9000015258789 | 81.9000015258789 | 82.5999984741211 | 82.0999984741211 | 82.5999984741211 | 82.6999969482422 | 83.5 | 83.4000015258789 | 84 | 84.1999969482422 | 84.5 | 84.9000015258789 | 85.1999969482422 | 86 | 86.6999969482422 | 86.6999969482422 | 85.5999984741211 | 86.1999969482422 | 86.0999984741211 | 85.5 | 85.8000030517578 | 86.5 | 85.6999969482422 | 85 | 84.9000015258789 | 85.0999984741211
Faeroe Islands | FRO | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Micronesia, Fed. [NAME]. | FSM | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Gabon | GAB | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 58.5999984741211 |  |  |  |  |  |  |  |  |  |  |  | 52.2000007629395
United Kingdom | GBR | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 89.0999984741211 | 88.0999984741211 | 87.8000030517578 | 86.5 | 85.3000030517578 | 85.3000030517578 | 85 | 83.4000015258789 | 83 | 81.0999984741211 | 81 | 81.3000030517578 | 81.9000015258789 | 82.0999984741211 | 81.5999984741211 | 81.5 | 82.1999969482422 | 82.5999984741211 | 83.4000015258789 | 83 | 83.8000030517578 | 83.5999984741211 | 83.4000015258789 | 82.9000015258789 | 82.1999969482422 | 82.4000015258789 | 82.3000030517578 | 82.0999984741211 | 82 | 81.8000030517578 | 81.4000015258789 | 81.3000030517578 | 80.5999984741211
Georgia | GEO | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 42.9000015258789 | 42.7999992370605 | 37.5 | 34.7999992370605 | 34.9000015258789 | 33.7999992370605 | 32.9000015258789 | 34.2999992370605 |  |  | 36.5999984741211 | 36.2000007629395 | 37.4000015258789 | 38.5 | 39.5999984741211
Ghana | GHA | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 29.7000007629395 |  |  |  | 25.2999992370605
Guinea | GIN | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Gambia, The | GMB | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Guinea-Bissau | GNB | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Equatorial Guinea | GNQ | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 30.7000007629395
Greece | GRC | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 50.0999984741211 | 50.2999992370605 | 50.2000007629395 | 51 | 51.0999984741211 | 50.9000015258789 | 51.5999984741211 | 51.4000015258789 | 52.2000007629395 | 52.5999984741211 | 52.4000015258789 | 51.7999992370605 | 52.2999992370605 | 52.4000015258789 | 52.5999984741211 | 53.0999984741211 | 53.0999984741211 | 55.0999984741211 | 56.2000007629395 | 56.2999992370605 | 57.9000015258789 | 58.5999984741211 | 58.9000015258789 | 60.5999984741211 | 61 | 60.7000007629395 | 61.2999992370605 | 61.7999992370605 | 61.0999984741211 | 60.9000015258789 | 60.2000007629395 | 59.5
Grenada | GRD | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 74 |  |  |  |  | 71.0999984741211 |  | 68.5999984741211
Greenland | GRL | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Guatemala | GTM | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46 |  |  |  | 56.2000007629395 |  | 54.2000007629395 |  | 41.5999984741211 | 49 | 49.2000007629395
Guam | GUM | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Guyana | GUY | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 52.2000007629395
High income | HIC | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 82.37234617866193 | 83.03335222757819 | 83.37568281041113 | 83.2993838445664 | 83.64820426748078 | 83.4947966604215 | 83.81128597196651 | 83.92978308507732 | 83.50019629181227 | 83.90131768155108 | 84.1926947292378 | 84.25690693768712 | 84.08358713739204 | 84.10389472030461 | 84.35415322578332 | 84.5131752385625 | 84.75643444755794 | 85.06905894721245 | 84.37988292125881 | 84.23020894548414 | 86.55797711261597
Hong Kong SAR, China | HKG | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 85 | 85.6999969482422 | 85.6999969482422 | 85.4000015258789 | 86.0999984741211 | 85.9000015258789 | 85.3000030517578 | 85.5 | 83.4000015258789 | 82 | 82.5999984741211 | 83 | 83.1999969482422 | 83 | 84.1999969482422 | 84.5 | 84.3000030517578 | 86 | 85.9000015258789 | 85.5999984741211
Honduras | HND | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 49.5 | 44.7999992370605 | 48.7000007629395 |  | 48.5 | 48.5999984741211 | 45.2000007629395 | 46.2999992370605 | 48.2000007629395 | 48.0999984741211 |  | 48.2000007629395 | 46.0999984741211 | 46.7000007629395 | 47.2000007629395 | 48.7000007629395 | 47.5999984741211 | 48.4000015258789 | 48.9000015258789 | 48 | 46
Heavily indebted poor countries (HIPC) | HPC | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Croatia | HRV | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 70.8000030517578 | 73.3000030517578 | 74.0999984741211 | 73.8000030517578 | 74.5999984741211 | 73 | 73.9000015258789 | 74.3000030517578 | 75.0999984741211 | 74.5999984741211 | 75.5999984741211 | 77.3000030517578 | 77.4000015258789 | 77.1999969482422 | 76.8000030517578 | 76.5999984741211 | 77.4000015258789
Haiti | HTI | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 17.3999996185303
Hungary | HUN | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 81.3000030517578 | 82.0999984741211 | 82.0999984741211 | 81.9000015258789 | 78.0999984741211 | 78.5999984741211 | 80.4000015258789 | 80.6999969482422 | 80.9000015258789 | 81.8000030517578 | 83.0999984741211 | 83.3000030517578 | 82.0999984741211 | 83 | 84.3000030517578 | 84.9000015258789 | 84.6999969482422 | 84.5999984741211 | 84.6999969482422 | 84.9000015258789 | 85.8000030517578
Indonesia | IDN | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 35.5999984741211 | 34.2000007629395 | 32.9000015258789 | 33.7999992370605 | 34.7000007629395 | 34.9000015258789 | 35.9000015258789 |  | 34.4000015258789
Isle of Man | IMN | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 79.6999969482422
India | IND | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 17.7999992370605 |  |  |  |  |  | 3.70000004768372 |  |  |  |  | 18.1000003814697 |  |  |  |  | 19.3999996185303
Not classified | INX | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Ireland | IRL | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 69.8000030517578 | 69.1999969482422 | 70.0999984741211 | 70.3000030517578 | 68.9000015258789 | 68 | 68.5 | 68.0999984741211 | 69.9000015258789 | 68.8000030517578 | 69.5 | 69.9000015258789 | 70.5 | 72.0999984741211 | 72 | 72.6999969482422 | 73.9000015258789 | 74 | 74.5999984741211 | 74.5 | 75.1999969482422 | 74.6999969482422 | 75.6999969482422 | 76.8000030517578 | 75.6999969482422 | 74.9000015258789 | 73.9000015258789 | 75.0999984741211 | 75.8000030517578 | 75.6999969482422
Iran, Islamic Rep. | IRN | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 51.4000015258789 |  |  |  |  |  |  |  |  |  |  | 53.4000015258789 | 54.4000015258789
Iraq | IRQ | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Iceland | ISL | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 72.9000015258789 | 74.3000030517578 | 75.6999969482422 | 74.4000015258789 | 73.6999969482422 | 75 | 77.3000030517578 | 75.0999984741211 | 76.0999984741211 | 76.5999984741211 | 76.5 | 76 | 81 | 81.8000030517578 | 79.0999984741211 | 78.6999969482422 | 80.9000015258789 | 82.5999984741211 | 83.1999969482422 | 82.9000015258789 | 83.1999969482422 | 83
Israel | ISR | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 80.6999969482422 | 80 | 80.3000030517578 | 80.5 | 80.5999984741211 | 81.6999969482422 | 82.4000015258789 | 82.4000015258789 | 81.9000015258789 | 82.8000030517578 | 82.5999984741211 | 82.9000015258789 | 83.5 | 83.3000030517578 | 83 | 83 | 83.5
Italy | ITA | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 70.6999969482422 | 70.0999984741211 | 70 | 69.8000030517578 | 68.9000015258789 | 69.4000015258789 | 69.5999984741211 | 69 | 68.8000030517578 | 68.9000015258789 | 69.5 | 69.4000015258789 | 68.9000015258789 | 69.0999984741211 | 68.9000015258789 | 68.1999969482422 | 68 | 68.0999984741211 | 68 | 68.4000015258789 | 68.1999969482422 | 68.3000030517578 | 68.6999969482422 | 68.8000030517578 | 68.3000030517578 | 69.3000030517578 | 69.6999969482422 | 70 | 70.5 | 70.6999969482422 | 70.3000030517578 | 70.5 | 70.5
Jamaica | JAM | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 52.4000015258789 | 52.4000015258789 | 54.0999984741211 | 54.2999992370605 | 55 | 55.2999992370605 | 54.7000007629395 | 54.2999992370605 | 54.7999992370605 | 54.9000015258789 | 55.4000015258789 | 56.7000007629395 | 56.2000007629395 | 57.7000007629395 | 58.5 | 57.5999984741211 | 59.2000007629395 | 55.2999992370605 |  |  | 54.0999984741211 | 53.2000007629395
Jordan | JOR | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 78.6999969482422 | 79.0999984741211 | 79.5 | 80.6999969482422 | 80.3000030517578 | 80.9000015258789 | 82.1999969482422 | 82.0999984741211 | 82.4000015258789 | 81.3000030517578 | 81.3000030517578 | 82.1999969482422 | 81.6999969482422
Japan | JPN | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 77.0999984741211 | 77.4000015258789 | 78 | 78.5 | 78.8000030517578 | 78.9000015258789 | 79.3000030517578 | 79.3000030517578 | 79.5999984741211 | 80.1999969482422 | 80.8000030517578 | 81.6999969482422 | 82.4000015258789 | 83.1999969482422 | 83.4000015258789 | 83.6999969482422 | 83.9000015258789 | 83.9000015258789 | 84.0999984741211 | 83.9000015258789 | 84.1999969482422 | 84.5999984741211 | 84.9000015258789 | 84.9000015258789 | 84.9000015258789 | 85 | 85.5999984741211 | 86 | 86.0999984741211 | 86.4000015258789 | 86.6999969482422 | 87.0999984741211
Kazakhstan | KAZ | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 61 | 63.5999984741211 | 63.2000007629395 | 64.0999984741211 | 65.9000015258789 | 65.6999969482422 | 66 | 67.5 | 67.5 | 67.9000015258789 | 67.9000015258789 | 68.1999969482422
Kenya | [NAME] | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46.4000015258789
Kyrgyz Republic | KGZ | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.7000007629395 | 47 | 48.4000015258789 | 48 | 50.2000007629395
Cambodia | KHM | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 18.6000003814697 | 19.1000003814697 |  |  |  |  |  |  | 20.6000003814697 | 30.8999996185303 | 35.4000015258789 | 35.7999992370605 | 41.2000007629395
Kiribati | KIR | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
St. Kitts and Nevis | KNA | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Korea, Rep. | KOR | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 52.2000007629395 | 52.0999984741211 | 52.5 | 53.7999992370605 | 57.0999984741211 | 58 | 58.5999984741211 | 60.2999992370605 | 60.7999992370605 | 61.9000015258789 | 63.0999984741211 | 63.5 | 63.4000015258789 | 63.5 | 64.1999969482422 | 64.9000015258789 | 65 | 64.6999969482422 | 63 | 63.2000007629395 | 64.3000030517578 | 64 | 64.3000030517578 | 64.6999969482422 | 65.5999984741211 | 66 | 66.8000030517578 | 67.6999969482422 | 68.0999984741211 | 69.1999969482422 | 70 | 70.4000015258789
Kosovo | KSV | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 71.4000015258789
Kuwait | KWT | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 96.5999984741211 |  |  |  |  |  | 96.3000030517578
Latin America & Caribbean (developing only) | LAC | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 59.9525643905659 | 60.15758186442182 |  | 60.77461420950559 | 60.67345609914577 |  |  |  | 60.55413679157427 | 59.02717238627649 | 59.28442605352683 | 59.63640334437915 | 59.36453332253424 | 60.08645512055627 | 61.0228799898324 | 62.17197869030911 | 62.22870128367126 | 61.75239307890934
Lao PDR | LAO | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.3000001907349 |  |  |  |  |  |  |  |  |  | 15.5
Lebanon | LBN | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 55.5 |  |  | 55.7000007629395 |  | 55.0999984741211
Liberia | LBR | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 25.2999992370605 |  |  | 27.5
Libya | LBY | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
St. Lucia | LCA | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 80.5 |  | 57.2000007629395 | 53.0999984741211 | 60.4000015258789 | 56.0999984741211 | 59.4000015258789 | 59.5999984741211 | 60.5999984741211 | 58.7999992370605 | 81.8000030517578
Latin America & Caribbean (all income levels) | LCN | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 60.53070947114339 | 60.34407475597705 |  | 60.94612383628704 | 61.06925218389506 |  |  |  | 60.96038692182427 | 59.49621615911305 | 59.71710512274528 | 60.02621816360168 | 59.7422204715097 | 60.51390631209734 | 61.41810353828766 | 62.55367264726157 | 62.68740298467755 | 62.1869298899913
Latin America and the Caribbean | LCR | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Least developed countries: UN classification | LDC | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Low income | LIC | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
[NAME] | LIE | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
[NAME] | LKA | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 57.7000007629395 | 59.2999992370605 | 58.4000015258789 | 59.5 | 58.2999992370605 | 55.9000015258789 | 57.5999984741211 | 56.5999984741211 | 58 | 57.5 | 57.4000015258789 | 58.9000015258789 | 59.7999992370605 | 56 | 57.2000007629395 | 57.5 | 59 | 56.0999984741211 | 55.7999992370605 | 56.5999984741211
Lower middle income | LMC | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 15.87576325228065 |  |  |  |  | 27.8362343027778
Low & middle income | LMY | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
[NAME] | LSO | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 22.5
Lithuania | LTU | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 77.8000030517578 | 76.4000015258789 | 77.1999969482422 | 75.4000015258789 | 76.3000030517578 | 76.0999984741211 | 78.1999969482422 | 80.8000030517578 | 82.4000015258789 | 83.6999969482422 | 85.8000030517578 | 85.1999969482422 | 87 | 87.4000015258789 | 86.5999984741211
Luxembourg | LUX | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 88.3000030517578 | 88.1999969482422 | 88.3000030517578 | 89.5999984741211 | 89.3000030517578 | 89.0999984741211 | 88.6999969482422 | 88.8000030517578 | 89.1999969482422 | 89.6999969482422 | 88.5999984741211 | 89.4000015258789 | 88.1999969482422 | 89.1999969482422 | 90.0999984741211 | 89 | 90.5 | 89.1999969482422 | 91.8000030517578 | 90.4000015258789 | 91.5 | 90.9000015258789 | 91.3000030517578 | 91.0999984741211 | 91.8000030517578 | 93.4000015258789 | 89.8000030517578 | 90.6999969482422 | 90.4000015258789 | 90.4000015258789
Latvia | LVA | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 83.3000030517578 | 79.1999969482422 | 81.1999969482422 | 81.5 | 83.6999969482422 | 82.3000030517578 | 84.5 | 84.0999984741211 | 85.4000015258789 | 86.8000030517578 | 86.6999969482422 | 87 | 87.1999969482422 | 85.5999984741211 | 86.4000015258789 | 86.3000030517578 | 86.1999969482422
Macao SAR, China | MAC | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 86.1999969482422 | 87.5999984741211 | 87.3000030517578 | 85.5999984741211 | 84.8000030517578 | 86.3000030517578 | 85.8000030517578 | 85.6999969482422 | 84.8000030517578 | 86.1999969482422 | 88.0999984741211 | 88.5 | 90.0999984741211 | 89.3000030517578 | 88.8000030517578 | 89.5
St. Martin (French part) | MAF | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Morocco | MAR | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 47.5 |  |  |  | 47.5 | 43.2000007629395 |  |  | 39.5 | 39.7000007629395 | 39.2999992370605 | 39.5 | 46.7999992370605 | 48.7999992370605 | 47.5
Mexico and Central America | MCA | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Monaco | MCO | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Moldova | MDA | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 67.8000030517578 | 63.7000007629395 | 61 | 59.5999984741211 | 62.9000015258789 | 63.2000007629395 | 61.7999992370605 | 65.1999969482422 | 63.7000007629395 | 64.9000015258789 | 66.6999969482422 | 66.1999969482422 | 66.3000030517578 | 66.5999984741211
Madagascar | MDG | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.5 |  |  |  |  |  |  |  |  |  | 17.7999992370605 |  | 16
Maldives | MDV | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 48.9000015258789 |  |  |  |  | 33.9000015258789 |  |  |  |  | 21.2999992370605 |  |  |  |  |  | 61.0999984741211
Middle East & North Africa (all income levels) | MEA | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Mexico | MEX | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 64.5 | 52.5999984741211 | 54.0999984741211 | 53.7000007629395 | 55.7999992370605 | 58.0999984741211 | 59 | 58.9000015258789 | 60.9000015258789 | 61.5999984741211 | 63.5 | 63 | 62.7999992370605 | 63.2000007629395 | 63.5999984741211 | 64.1999969482422 | 65.5 | 65.6999969482422 | 66.3000030517578 | 66.5999984741211 | 65.8000030517578 | 66.9000015258789
Marshall Islands | MHL | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 72.9000015258789
Middle income | MIC | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Macedonia, FYR | MKD | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 75.9000015258789 | 72.5 | 73.5 | 70.1999969482422 | 70.0999984741211 | 71.8000030517578 | 72.1999969482422 | 69.1999969482422 | 68.5 | 69.3000030517578 | 69.9000015258789 | 69.0999984741211 | 69.1999969482422 | 69.1999969482422 | 71
[NAME] | MLI | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 15.1999998092651 |  | 14.6999998092651 | 12.3999996185303
Malta | MLT | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 85.0999984741211 | 85 | 81.1999969482422 | 83.6999969482422 | 82.3000030517578 | 82.8000030517578 | 82.5 | 82.8000030517578 | 83.1999969482422 | 82.9000015258789 | 81.6999969482422 | 82.6999969482422 | 82.9000015258789
Myanmar | MMR | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Middle East & North Africa (developing only) | MNA | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 56.63315359727662
Montenegro | MNE | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 77.0999984741211 |  | 75.9000015258789 | 75.5 | 77.3000030517578 | 78.4000015258789 | 79.5 | 78.1999969482422
Mongolia | MNG | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 39.2999992370605 |  |  | 37.0999984741211 |  |  |  | 34.2999992370605 | 39.2000007629395 | 37.7000007629395 | 38.5 | 40.7000007629395
Northern Mariana Islands | MNP | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Mozambique | MOZ | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 15.6999998092651
Mauritania | MRT | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
[NAME] | MUS | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 82.0999984741211 |  |  |  |  | 78.8000030517578 |  |  |  |  | 79.0999984741211 |  |  |  | 77.6999969482422 | 78.5999984741211 | 78.6999969482422 | 77.1999969482422 | 78 | 78.0999984741211 | 77.9000015258789 | 78.5 | 77.0999984741211
[NAME] | MWI | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 29
Malaysia | MYS | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 64.0999984741211 |  |  |  | 72.5 | 72.5 | 74.8000030517578 | 72.5 | 74.3000030517578 | 73 | 74.5999984741211 | 76.4000015258789 | 75.5 | 73.4000015258789 | 73.8000030517578 | 72.1999969482422 | 72.5 | 72.1999969482422 | 72.9000015258789 | 72 | 74.8000030517578 | 73.6999969482422
North America | NAC | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 88.40788554412913 | 88.59602757488967 | 88.25588208503565 | 88.82854598160998 | 89.20556595213391 | 89.23410607715053 | 89.45754364234878 | 89.72877544550845 | 89.9926740743009 | 90.35379800852967 | 90.50329788992234 | 90.57123533173551 | 90.17998844431767 | 90.06912715205532 | 90.15222663775073 | 90.38944340977407 | 90.49811682223125 | 90.57323615847736 | 91.3769904847611 | 91.49451182057848 | 98.12509559720604
Namibia | NAM | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 65.1999969482422 |  |  | 73.0999984741211 |  |  | 67.6999969482422 | 66.6999969482422 |  |  | 76 |  |  |  | 82.1999969482422 |  | 70.4000015258789 | 72.4000015258789 | 69.4000015258789
New Caledonia | NCL | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 80.5
[NAME] | NER | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.90000009536743
Nigeria | NGA | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Nicaragua | NIC | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 57.2999992370605 |  | 62.2000007629395 | 61.0999984741211 | 63.9000015258789 | 63 | 62.2000007629395 | 51.4000015258789 |  |  | 46.4000015258789 | 47.7999992370605 | 49.2999992370605 | 49.7999992370605 | 49.2999992370605 | 49.7999992370605 |  | 49.2000007629395
Netherlands | NLD | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 87.6999969482422 |  | 88 |  | 88.5 | 88.0999984741211 | 88.3000030517578 | 88.0999984741211 | 88.5999984741211 | 87.6999969482422 | 87.1999969482422 | 86.6999969482422 | 86.3000030517578 | 86.4000015258789 | 86.1999969482422 | 86.9000015258789 | 87.1999969482422 | 87.3000030517578 | 87.0999984741211 | 86.5999984741211 | 86.4000015258789 | 85.9000015258789 | 85.4000015258789 | 84.9000015258789 | 84.3000030517578 | 84.1999969482422 | 83.9000015258789 | 82 | 82 | 81.5
High income: nonOECD | NOC | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 89.59827671244823 | 91.34305775104156 | 91.12234890456563 | 91.376188566348 | 90.85535774663825 | 92.44822904404654 | 91.70199074864011 | 87.0615249666963 | 87.81675200076323 | 89.12486427151113 | 89.34614075522302 | 89.48315341847677 | 89.91019620541122 | 90.17838857728945 | 89.80345280654633 | 90.1189567544991 | 90.7755276003694
Norway | NOR | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 83 | 83.6999969482422 | 83.4000015258789 | 83.5 | 83.4000015258789 | 84.5 | 84.3000030517578 | 85.1999969482422 | 85.0999984741211 | 84.8000030517578 | 85.4000015258789 | 85.6999969482422 | 85.9000015258789 | 86.3000030517578 | 86.9000015258789 | 87.3000030517578 | 88.5 | 88.6999969482422 | 88.6999969482422 | 89.8000030517578 | 90.0999984741211 | 90.3000030517578 | 89.6999969482422 | 89.5999984741211 | 89.5 | 89.8000030517578 | 88.1999969482422 | 89 | 89.1999969482422 | 89 | 89.3000030517578 | 90.3000030517578 | 90.5
Nepal | NPL | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 33.7000007629395
New Zealand | NZL | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 83.0999984741211 |  |  |  |  | 78 | 77.6999969482422 | 76.3000030517578 | 75.3000030517578 | 75.0999984741211 | 74.3000030517578 | 73.3000030517578 | 73.4000015258789 | 73.9000015258789 | 74.3000030517578 | 74 | 75.0999984741211 | 74.5999984741211 | 73.9000015258789 | 74.0999984741211 | 75.4000015258789 | 75.6999969482422 | 75.5 | 76.1999969482422 | 77.3000030517578 | 78.0999984741211 | 78.9000015258789 | 78.6999969482422 | 79.5 | 80.0999984741211 | 79.8000030517578
High income: OECD | OEC | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 82.38196206797127 | 81.80614642309271 | 81.99578462658192 | 82.05509094121598 | 82.48093652145637 | 82.31824360954637 | 82.51201050475036 | 82.75534226053131 | 82.93630922590731 | 83.28414591390415 | 83.40249174667733 | 83.42184968993442 | 83.19262569690184 | 83.15356659113826 | 83.35520744586019 | 83.64683524690528 | 83.86271472505192 | 84.02755877892373 | 84.22255027851416 | 84.245798448509 | 86.55173750487515
OECD members | OED | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 78.06202990942006 | 77.85133410824672 | 77.94376159895926 | 78.21800327096477 | 78.8286137173791 | 78.7729055769445 | 78.90042193317785 | 79.27633157268879 | 79.46668260620514 | 80.09956311123693 | 80.12244175567696 | 80.25552456821454 | 80.11656297760894 | 80.04783389214884 | 80.40476988819617 | 80.94354256601679 | 81.22481675115962 | 81.41069741050562 | 81.55291651437258 | 81.47723633003497 | 83.54215831043078
Oman | OMN | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 85.3000030517578 |  |  | 86 |  |  |  | 87.8000030517578 |  |  |  |  |  |  |  |  |  | 96.5
Other small states | OSS | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Pakistan | PAK | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 35.4000015258789 | 35.4000015258789 | 37 | 36.9000015258789 | 36.9000015258789 | 36 | 36 | 40.2999992370605 | 40.2999992370605 | 39.2000007629395 | 39.2000007629395 | 40 | 40.5999984741211 | 39.5 |  |  | 40.4 |  | 43
Panama | PAN | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 58.5 | 62.7999992370605 | 60.5999984741211 | 58.2999992370605 | 59.5999984741211 | 58.7999992370605 | 52.5 | 53.2000007629395 |  |  | 56.9000015258789 | 59.2000007629395 | 62 | 61.2999992370605 | 61.2000007629395 | 59.7000007629395 | 61.7000007629395 | 61.5999984741211 | 60.2999992370605 | 60.2000007629395 | 60.0999984741211 | 59.5 | 60.9000015258789 | 60.9000015258789 | 62.7000007629395 | 65.9000015258789 | 67.1999969482422 | 63.2999992370605 | 63.5 | 63.7999992370605 | 66
Peru | PER | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 63.0999984741211 | 61.4000015258789 | 60.4000015258789 | 61.7000007629395 | 62.2999992370605 | 62.0999984741211 | 55.7000007629395 | 53.4000015258789 | 56.5 | 53.9000015258789 | 51.5 | 52.0999984741211 | 64.4000015258789 | 60.7999992370605 | 46.2000007629395 | 47.2999992370605 | 48.9000015258789 | 49.9000015258789 | 50.2999992370605 | 51.2000007629395 | 50.9000015258789 | 50.5 | 51.9000015258789
Philippines | PHL | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 50.2999992370605 | 50.0999984741211 | 50.7000007629395 | 50.0999984741211 | 49.2999992370605 | 50.5999984741211 | 52.7999992370605 | 50.9000015258789 | 51.5 | 52.7000007629395 | 52.9000015258789
Palau | PLW | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
[NAME] | PNG | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Poland | POL | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 68.8000030517578 | 67.8000030517578 | 67.6999969482422 | 68.6999969482422 | 68.9000015258789 | 69.6999969482422 | 70.9000015258789 | 71 | 70.6999969482422 | 70.3000030517578 | 69.4000015258789 | 70.1999969482422 | 71.3000030517578 | 72.0999984741211 | 73.4000015258789 | 74.5 | 75 | 75.0999984741211 | 74.9000015258789 | 74.9000015258789 | 75
Puerto Rico | PRI | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 80 | 80.1999969482422 | 80.3000030517578 | 79.5999984741211 | 79.8000030517578 | 80.5 | 80.6999969482422 | 81.4000015258789 | 80.3000030517578 | 80.3000030517578 | 81.3000030517578 | 80.1999969482422 | 80.3000030517578 | 80.4000015258789 | 80.1999969482422 | 79.5999984741211 | 79.5 | 79.6999969482422 | 79.1999969482422 | 79.5 | 78.0999984741211 | 78.9000015258789
Korea, Dem. Rep. | PRK | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Portugal | PRT | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 70.6999969482422 | 70.3000030517578 | 70.5 | 71 | 72.1999969482422 | 71.1999969482422 | 73.3000030517578 | 73.5 | 71.5 | 70.4000015258789 | 69.9000015258789 | 70.5 | 69.9000015258789 | 71.5999984741211 | 71.8000030517578 | 70.8000030517578 | 71 | 71.5 | 72.3000030517578 | 73.0999984741211 | 74.3000030517578 | 73.9000015258789 | 74.5999984741211 | 74.0999984741211 | 74.9000015258789 | 75.1999969482422 | 74.5
Paraguay | PRY | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 68.9000015258789 | 69.1999969482422 | 68.1999969482422 | 68.8000030517578 | 63.4000015258789 |  | 60.4000015258789 | 45.9000015258789 | 45 | 45.7999992370605 |  | 44.7999992370605 | 41.7999992370605 | 43.4000015258789 | 43.0999984741211 | 45.4000015258789 | 46 | 49 | 51.2000007629395 | 48.4000015258789 | 52.2999992370605 | 53.0999984741211 | 53.2000007629395
Pacific island small states | PSS | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
French Polynesia | PYF | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 72.9000015258789 |  |  |  |  |  | 78.6999969482422 |  |  |  |  | 81.6999969482422
Qatar | QAT | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 98.5 |  |  |  |  |  |  | 98.6999969482422 |  | 99.3000030517578 | 99.3000030517578 | 99.5 | 99.5999984741211 |  | 99.5 | 99.5
Romania | [NAME] | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 74.8000030517578 | 68.5999984741211 | 68.4000015258789 | 69 | 66.8000030517578 | 66.6999969482422 | 63.9000015258789 | 61.5999984741211 | 58.9000015258789 | 56 | 56 | 61.7000007629395 | 61.5999984741211 | 65 | 64.0999984741211 | 65.4000015258789 | 66 | 67.1999969482422 | 67 | 64.9000015258789 | 67.3000030517578 | 67.0999984741211
Russian Federation | RUS | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 89.9000015258789 | 92.4000015258789 | 92.0999984741211 | 92.0999984741211 | 92.8000030517578 | 94.5 | 94.5999984741211 | 89 | 89.5 | 91.5999984741211 | 91.9000015258789 | 92 | 91.8000030517578 | 91.6999969482422 | 91.8000030517578 | 92 | 92.0999984741211
Rwanda | RWA | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9.39999961853027
South Asia | SAS | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 18.50812241421282 |  |  |  |  |  | 8.73312582728175 |  |  |  |  | 20.3761678567781 |  |  |  |  | 20.00214916252263
Saudi Arabia | SAU | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 91.1999969482422
[NAME] | SCE | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Sudan | SDN | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Senegal | SEN | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.3999996185303 |  |  |  |  |  |  |  |  |  | 26.1000003814697
Singapore | SGP | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 81.0999984741211 | 81 | 81.6999969482422 | 82 |  | 82.1999969482422 | 81.5 | 81.4000015258789 | 81.5999984741211 |  | 80.1999969482422 | 82.3000030517578 | 81.4000015258789 | 80.4000015258789 |  | 80.5999984741211 | 80.9000015258789 | 81.3000030517578 | 80.3000030517578 |  | 81.1999969482422 | 80.8000030517578 | 81 | 81.5999984741211 | 81.6999969482422 | 81.4000015258789 | 81.0999984741211
Solomon Islands | SLB | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Sierra Leone | SLE | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11.3000001907349
El Salvador | SLV | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 61.7000007629395 | 57.7000007629395 | 58.7999992370605 | 59.2000007629395 | 60 | 62.2000007629395 | 64.1999969482422 | 59.5999984741211 | 59.7000007629395 | 58.2999992370605 | 61.5 | 64.1999969482422 | 60.2999992370605 | 63.7000007629395 | 65.9000015258789 | 64.3000030517578 | 52.9000015258789 | 63.4000015258789 | 63.0999984741211 | 62.9000015258789
[NAME] | SMR | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 77.0999984741211 | 77.6999969482422 | 78.0999984741211 | 79.3000030517578 | 80.1999969482422 |  | 86.6999969482422 | 86.4000015258789 | 86.5999984741211 | 86.9000015258789 | 87.3000030517578 | 88.3000030517578 | 88.6999969482422 | 89.0999984741211
Somalia | SOM | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Serbia | SRB | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 67.5999984741211 | 69.5999984741211 | 69.8000030517578 | 70.4000015258789 | 64.8000030517578 | 66.5 | 65 | 67.1999969482422 | 66.5
Sub-Saharan Africa (developing only) | SSA | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
South Sudan | SSD | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Sub-Saharan Africa (all income levels) | SSF | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Small states | SST | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Sao Tome and Principe | STP | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 72.3000030517578
Suriname | SUR | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 78.3000030517578 | 75.6999969482422 | 72.5999984741211 | 77.8000030517578
Slovak Republic | SVK | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 91.4000015258789 | 91.3000030517578 | 91.3000030517578 | 91.5999984741211 | 90.6999969482422 | 89.8000030517578 | 89 | 88.4000015258789 | 88.1999969482422 | 87 | 83.9000015258789 | 82.8000030517578 | 83.0999984741211 | 82.5999984741211 | 81.5 | 79.6999969482422 | 78.6999969482422 | 79.1999969482422 | 80.1999969482422
Slovenia | SVN | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 82 | 79.6999969482422 | 80.5 | 80 | 79.3000030517578 | 78.0999984741211 | 79 | 81.4000015258789 | 80.3000030517578 | 81 | 83.5 | 82.1999969482422 | 82.8000030517578 | 81.4000015258789 | 81.9000015258789 | 83.5 | 81 | 80 | 80.3000030517578 | 80.8000030517578
Sweden | SWE | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 89.5 | 89.5 | 89.1999969482422 | 89.5 | 89.8000030517578 | 90.4000015258789 | 91.5999984741211 | 86.9000015258789 | 87.1999969482422 | 87 | 87.0999984741211 | 87.0999984741211 | 85.6999969482422 | 84.5 | 84.3000030517578 | 82.6999969482422 | 82.6999969482422 | 83.5 | 84.3000030517578 | 83.9000015258789 | 84.0999984741211 | 84.8000030517578 | 84.6999969482422 | 85 | 85 | 85 | 84.8000030517578 | 85.0999984741211 | 85.5999984741211 | 85.3000030517578 | 85 | 85.5999984741211 | 85.4000015258789
Swaziland | SWZ | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 82.6999969482422
Sint Maarten (Dutch part) | SXM | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Seychelles | SYC | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 78.5
Syrian Arab Republic | SYR | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 49.7999992370605 |  |  |  |  | 53.2000007629395 | 51.5 | 60.0999984741211 | 59.5 | 61.2999992370605 | 59.7000007629395
Turks and Caicos Islands | TCA | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 88 | 88.4000015258789 | 90.5 | 93.6999969482422 | 94.3000030517578
Chad | TCD | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8.80000019073486
Togo | TGO | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 16.6000003814697
Thailand | THA | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 29.8999996185303 | 29.6000003814697 | 29.2999992370605 | 31 | 33 | 33.7999992370605 | 36.7999992370605 | 37.4000015258789 | 38.2999992370605 | 40.5 | 39.7000007629395 | 37.5 | 38.9000015258789 | 40.2000007629395 | 40.7999992370605 | 40.5999984741211 | 40.9000015258789 | 44.5 | 44.5 | 44.2999992370605 | 44.5999984741211 | 43.7000007629395 | 45.5999984741211 | 45.5 | 44.7999992370605 | 44.5999984741211
Tajikistan | TJK | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 57.5999984741211 |  |  |  |  |  | 47.5
Turkmenistan | TKM | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Timor-Leste | TLS | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 32.2000007629395
Tonga | TON | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 43.5 |  |  |  |  |  |  | 47.5
Trinidad and Tobago | TTO | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 73.5 | 71.9000015258789 | 73.3000030517578 | 72.9000015258789 | 75.3000030517578 | 73.5999984741211 | 72 | 72.9000015258789 | 72.3000030517578 | 73.4000015258789 | 74.4000015258789 | 75 | 74.6999969482422 | 74.6999969482422 | 74.3000030517578 | 74.1999969482422 | 75.3000030517578 | 75.1999969482422 | 76.4000015258789
Tunisia | TUN | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 69 |  |  |  |  | 70.5 |  |  |  |  |  |  |  |  |  |  | 67.6999969482422 |  | 67.5999984741211 | 67.3000030517578 |  | 66.6999969482422 | 68.5999984741211
Turkey | TUR | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 47.7999992370605 | 46.5 | 46.5 | 45.7999992370605 | 46.7000007629395 | 47.2000007629395 | 47.2999992370605 | 47.9000015258789 | 49.5 | 50.2000007629395 | 50.5999984741211 | 50.4000015258789 | 53.5 | 52.5 | 54.9000015258789 | 55.5 | 55 | 57.7999992370605 | 61.7000007629395 | 63.2999992370605 | 63.7999992370605 | 63.4000015258789 | 64.9000015258789 | 65.8000030517578 | 66.5
Tuvalu | TUV | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 95.5
Tanzania | TZA | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.8999996185303 |  |  |  |  |  |  |  |  |  | 9.80000019073486 | 12.3999996185303 |  |  |  | 15.3000001907349 | 12.6999998092651
Uganda | UGA | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 20.2999992370605 | 22.2000007629395
Ukraine | UKR | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 91 | 90.6999969482422 | 86.5 | 84.5 | 91.5 | 90.5999984741211 | 89.3000030517578 | 88.1999969482422 | 87.5999984741211 | 83.4000015258789 | 82.9000015258789 | 81.9000015258789 | 81.8000030517578 | 83.1999969482422 | 82.1999969482422 |  | 81.5 | 81.9000015258789
Upper middle income | UMC | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Uruguay | URY | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 69.6999969482422 | 69.4000015258789 | 69.5 | 67.8000030517578 | 65.5999984741211 | 65.5 |  | 67.5999984741211 | 67.5999984741211 | 67.6999969482422 | 74.5 | 74.6999969482422 | 70.8000030517578
United States | USA | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 88.5999984741211 | 88.6999969482422 | 88.4000015258789 | 88.3000030517578 | 88.6999969482422 | 89.0999984741211 | 89.1999969482422 | 89.1999969482422 | 89.1999969482422 | 89.4000015258789 | 89.5 | 89.1999969482422 | 89.4000015258789 | 89.0999984741211 | 89.6999969482422 | 90.0999984741211 | 90.1999969482422 | 90.5 | 90.8000030517578 | 91.0999984741211 | 91.4000015258789 | 91.5 | 91.5999984741211 | 91.1999969482422 | 91.0999984741211 | 91.1999969482422 | 91.4000015258789 | 91.5999984741211 | 91.6999969482422 | 91.5999984741211 | 91.6999969482422 | 99.0999984741211
Uzbekistan | UZB | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
St. Vincent and the Grenadines | VCT | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 73.1999969482422 |  |  |  |  |  |  |  |  |  |  | 71.1999969482422 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 73.6999969482422
Venezuela, RB | VEN | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 57.5999984741211 | 59.2999992370605 | 59.4000015258789 | 62.9000015258789 | 60.9000015258789 | 59.4000015258789 | 58 | 60.2999992370605 | 61.2000007629395 | 60.5999984741211 | 62.2999992370605 | 64.5 | 65.1999969482422 | 66.5 | 65.1999969482422 | 56.7000007629395 | 54.7999992370605 | 54.7999992370605 | 55.9000015258789
Virgin Islands (U.S.) | VIR | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Vietnam | VNM | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 20.1000003814697 | 22 | 24.6000003814697 | 21.2000007629395 | 21.7000007629395 | 24.2000007629395 | 23.7999992370605 | 25.7000007629395 | 29.7999992370605 |  |  |  |  |  |  |  | 40
[NAME] | VUT | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 29.3999996185303
West Bank and Gaza | PSE | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 55.4000015258789 | 62.7000007629395 | 66.3000030517578 | 69.6999969482422 | 68.0999984741211 | 61.7000007629395 | 58.7999992370605 | 57.7000007629395 | 58.5999984741211 | 60 | 60.2000007629395 | 61.5999984741211 | 66.3000030517578 | 66.4000015258789 | 67.6999969482422 | 64.8000030517578 | 67.6999969482422
World | WLD | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Samoa | WSM | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 44.2000007629395 |  |  |  |  | 48.5999984741211 |  | 41.7999992370605 |  |  | 43.2000007629395
Yemen, Rep. | YEM | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 50.7000007629395 |  |  |  |  | 61.2999992370605 | 52.0999984741211 |  |  |  |  | 66.5999984741211
South Africa | ZAF | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 82.4000015258789 | 81.6999969482422 |  |  | 83.5 | 84.5 | 84.3000030517578 | 83.5 | 83.4000015258789
Congo, Dem. Rep. | COD | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS
Zambia | ZMB | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 61.5 |  |  |  |  |  |  |  |  |  | 39 | 33.7999992370605 |  |  |  |  | 30.7000007629395 |  | 25.6000003814697 |  | 25.7000007629395
Zimbabwe | ZWE | Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 53 |  |  | 56 |  | 54.9000015258789 |  |  | 51