Spreadsheet: 3681118f-52b4-41c3-b2c9-d22240e266cc
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 | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
Andorra | AND | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
Afghanistan | AFG | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 81.4000015258789 | 81.4000015258789 | 81.3000030517578 | 81.3000030517578 | 81.3000030517578 | 81.3000030517578 | 81.3000030517578 | 81.3000030517578 | 81.3000030517578 | 81.4000015258789 | 80.6999969482422 | 80.6999969482422 | 80.6999969482422 | 80.6999969482422 | 80.6999969482422 | 80.6999969482422 | 80.5999984741211 | 80.5 | 80.4000015258789 | 80.3000030517578 | 80.0999984741211 | 79.9000015258789 | 79.6999969482422
Angola | AGO | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 76.1999969482422 | 76.0999984741211 | 75.8000030517578 | 74.8000030517578 | 74.6999969482422 | 75 | 75.1999969482422 | 75.3000030517578 | 75.4000015258789 | 75.4000015258789 | 75.4000015258789 | 75.4000015258789 | 75.6999969482422 | 75.6999969482422 | 75.9000015258789 | 76.3000030517578 | 76.6999969482422 | 77 | 77.1999969482422 | 77.0999984741211 | 77 | 77 | 76.9000015258789
Albania | ALB | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 74.6999969482422 | 75.3000030517578 | 75.3000030517578 | 75.3000030517578 | 75.1999969482422 | 74.9000015258789 | 74.5999984741211 | 74.8000030517578 | 74.3000030517578 | 73.9000015258789 | 73.4000015258789 | 72.9000015258789 | 72.5 | 71.3000030517578 | 70 | 68.9000015258789 | 67.8000030517578 | 66.8000030517578 | 66 | 65.1999969482422 | 65.3000030517578 | 65.3000030517578 | 65.4000015258789
Andean Region | ANR | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
Arab World | ARB | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 76.50297892608282 | 76.15809891482405 | 75.4797248576847 | 75.838720566045 | 76.12606130630675 | 75.94525464143969 | 75.66441155849432 | 75.3350808915284 | 74.89097327376903 | 75.13804908107167 | 74.85140379316672 | 74.28890740525075 | 74.08372560054082 | 74.27409658766314 | 74.49979998208431 | 74.65149083364828 | 74.04680428250951 | 74.17215868799141 | 74.26946886375504 | 74.31165604240441 | 74.4406467484083 | 74.68524124034998 | 74.89677564924006
United Arab Emirates | ARE | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 91.3000030517578 | 91.3000030517578 | 91.5999984741211 | 91.9000015258789 | 92.0999984741211 | 92.3000030517578 | 92.3000030517578 | 92.1999969482422 | 92.0999984741211 | 92 | 91.9000015258789 | 92 | 92.1999969482422 | 92.3000030517578 | 92.1999969482422 | 91.6999969482422 | 90.8000030517578 | 89.9000015258789 | 89.0999984741211 | 89.1999969482422 | 89.5 | 90.0999984741211 | 91
Argentina | ARG | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 77.6999969482422 | 77.3000030517578 | 76.8000030517578 | 76.4000015258789 | 76.0999984741211 | 76.0999984741211 | 75.5999984741211 | 75.3000030517578 | 74.9000015258789 | 74.5999984741211 | 74.3000030517578 | 73.9000015258789 | 73.5999984741211 | 73.1999969482422 | 76.4000015258789 | 76.5 | 76.5999984741211 | 75.9000015258789 | 75.3000030517578 | 74.5999984741211 | 74.9000015258789 | 74.9000015258789 | 75
Armenia | ARM | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 77.0999984741211 | 76.9000015258789 | 75.5999984741211 | 74.9000015258789 | 74.8000030517578 | 74.5999984741211 | 74.3000030517578 | 73.9000015258789 | 73.5999984741211 | 73.1999969482422 | 73 | 72.6999969482422 | 71.8000030517578 | 71 | 70.1999969482422 | 69.5999984741211 | 69.3000030517578 | 69.0999984741211 | 69 | 68.5999984741211 | 72.3000030517578 | 72.8000030517578 | 73.4000015258789
American Samoa | ASM | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
[NAME] and [NAME] | ATG | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
Australia | AUS | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 75.6999969482422 | 74.8000030517578 | 74.3000030517578 | 73.8000030517578 | 73.8000030517578 | 74 | 73.6999969482422 | 73.1999969482422 | 72.9000015258789 | 72.5 | 72.4000015258789 | 72 | 71.9000015258789 | 71.5999984741211 | 71.5999984741211 | 72.1999969482422 | 72.3000030517578 | 72.6999969482422 | 72.8000030517578 | 72.4000015258789 | 72.5 | 72.4000015258789 | 71.9000015258789
Austria | AUT | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 69.6999969482422 | 69.8000030517578 | 70 | 69.9000015258789 | 70.4000015258789 | 70.6999969482422 | 69.8000030517578 | 69.5 | 69.0999984741211 | 69 | 68.6999969482422 | 68.3000030517578 | 68.3000030517578 | 68.3000030517578 | 66.9000015258789 | 67.3000030517578 | 67.6999969482422 | 68.8000030517578 | 68.4000015258789 | 68 | 67.6999969482422 | 67.6999969482422 | 67.6999969482422
Azerbaijan | AZE | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 70.6999969482422 | 70.9000015258789 | 71.9000015258789 | 72.3000030517578 | 72.1999969482422 | 71.9000015258789 | 71.9000015258789 | 71.9000015258789 | 71.9000015258789 | 71.8000030517578 | 71.5 | 71.1999969482422 | 70.8000030517578 | 70.3000030517578 | 69.6999969482422 | 69.1999969482422 | 68.6999969482422 | 68.1999969482422 | 67.6999969482422 | 68.1999969482422 | 67.4000015258789 | 68.0999984741211 | 68.9000015258789
Burundi | BDI | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 90.4000015258789 | 89.9000015258789 | 89.3000030517578 | 88.5999984741211 | 87.9000015258789 | 87.0999984741211 | 86.3000030517578 | 85.4000015258789 | 84.5 | 84.0999984741211 | 83.8000030517578 | 83.4000015258789 | 82.9000015258789 | 82.5 | 82.1999969482422 | 81.9000015258789 | 81.6999969482422 | 81.5 | 81.4000015258789 | 81.4000015258789 | 81.5 | 81.6999969482422 | 81.8000030517578
Belgium | BEL | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 61.0999984741211 | 61.4000015258789 | 61.0999984741211 | 60.5 | 61.0999984741211 | 61.0999984741211 | 60.9000015258789 | 60.5999984741211 | 60.5 | 61.2000007629395 | 61.4000015258789 | 60.2999992370605 | 60.5999984741211 | 60.2000007629395 | 60.5999984741211 | 61.2999992370605 | 60.7999992370605 | 61.0999984741211 | 60.7000007629395 | 60.2000007629395 | 60.5999984741211 | 59.4000015258789 | 59.4000015258789
Benin | [NAME] | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 89.4000015258789 | 89.4000015258789 | 89.4000015258789 | 88.5999984741211 | 87.6999969482422 | 86.8000030517578 | 85.8000030517578 | 84.8000030517578 | 83.6999969482422 | 82.5999984741211 | 81.4000015258789 | 80.1999969482422 | 78.9000015258789 | 78.8000030517578 | 78.8000030517578 | 78.6999969482422 | 78.6999969482422 | 78.5999984741211 | 78.5999984741211 | 78.5 | 78.4000015258789 | 78.4000015258789 | 78.3000030517578
[NAME] | BFA | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 91.0999984741211 | 90.8000030517578 | 90.6999969482422 | 90.6999969482422 | 90.5999984741211 | 90.5999984741211 | 90.5999984741211 | 90.5 | 90.5 | 90.5 | 90.4000015258789 | 90.4000015258789 | 90.4000015258789 | 90.4000015258789 | 90.4000015258789 | 90.4000015258789 | 90.4000015258789 | 90.4000015258789 | 90.4000015258789 | 90.4000015258789 | 90.3000030517578 | 90.1999969482422 | 90.0999984741211
Bangladesh | BGD | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 88.6999969482422 | 88.3000030517578 | 88.0999984741211 | 87.9000015258789 | 87.5999984741211 | 87.4000015258789 | 87.0999984741211 | 86.8000030517578 | 86.5999984741211 | 86.3000030517578 | 86 | 85.8000030517578 | 85.5999984741211 | 85.4000015258789 | 85.1999969482422 | 85 | 84.8000030517578 | 84.6999969482422 | 84.5 | 84.4000015258789 | 84.1999969482422 | 84.0999984741211 | 84.0999984741211
Bulgaria | BGR | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 62.7000007629395 | 61.9000015258789 | 61.0999984741211 | 60.2999992370605 | 59.5999984741211 | 58.9000015258789 | 58.2999992370605 | 57.7000007629395 | 57.2000007629395 | 56.5999984741211 | 55.9000015258789 | 56.7999992370605 | 56.2999992370605 | 56 | 56.7000007629395 | 56.2999992370605 | 58.0999984741211 | 59.9000015258789 | 61.9000015258789 | 61.0999984741211 | 59.5 | 58.2999992370605 | 58.7999992370605
Bahrain | BHR | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 87.9000015258789 | 87.8000030517578 | 87.8000030517578 | 87.6999969482422 | 87.5999984741211 | 87.5 | 87.3000030517578 | 87.0999984741211 | 87 | 86.6999969482422 | 86.4000015258789 | 86 | 84.9000015258789 | 83.8000030517578 | 82.9000015258789 | 83.4000015258789 | 84.3000030517578 | 85.3000030517578 | 86.1999969482422 | 86.9000015258789 | 87.1999969482422 | 87.3000030517578 | 87.1999969482422
Bahamas, The | BHS | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 79.4000015258789 | 80.3000030517578 | 81.0999984741211 | 81.9000015258789 | 82.5 | 81.0999984741211 | 79.3000030517578 | 76.8000030517578 | 73.8000030517578 | 74.5 | 75.1999969482422 | 75.6999969482422 | 76.3000030517578 | 76.8000030517578 | 77.3000030517578 | 77.8000030517578 | 78.1999969482422 | 78.5999984741211 | 79 | 79.3000030517578 | 79.3000030517578 | 79.3000030517578 | 79.3000030517578
Bosnia and Herzegovina | BIH | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 57.5 | 56.4000015258789 | 55.4000015258789 | 54.7999992370605 | 54.7999992370605 | 56.5999984741211 | 59.5 | 59.5999984741211 | 59.2000007629395 | 58.7999992370605 | 58.2999992370605 | 57.9000015258789 | 57.5999984741211 | 57.2000007629395 | 56.7999992370605 | 56.5 | 56.2999992370605 | 58 | 58.2999992370605 | 57.2999992370605 | 57.2000007629395 | 57.2000007629395 | 57.2000007629395
Belarus | BLR | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 75.3000030517578 | 74.4000015258789 | 73.4000015258789 | 72.4000015258789 | 71.4000015258789 | 70.3000030517578 | 69.1999969482422 | 68.0999984741211 | 66.9000015258789 | 65.6999969482422 | 65.0999984741211 | 64.5999984741211 | 64.0999984741211 | 63.5999984741211 | 63.2000007629395 | 62.7999992370605 | 62.2999992370605 | 62 | 61.5999984741211 | 61.2000007629395 | 61.7000007629395 | 62.2000007629395 | 62.7000007629395
Belize | BLZ | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 82.3000030517578 | 81.6999969482422 | 81.0999984741211 | 80.9000015258789 | 81.1999969482422 | 83.8000030517578 | 86.0999984741211 | 85.5 | 84.9000015258789 | 84.1999969482422 | 83.5999984741211 | 83 | 82.4000015258789 | 81.8000030517578 | 81.3000030517578 | 80.8000030517578 | 80.9000015258789 | 81.3000030517578 | 81.5 | 82 | 82.0999984741211 | 82.1999969482422 | 82.3000030517578
Bermuda | BMU | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
Bolivia | BOL | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 82.6999969482422 | 82.5999984741211 | 82.5 | 82.4000015258789 | 82.3000030517578 | 82.1999969482422 | 82.3000030517578 | 82.3000030517578 | 82.1999969482422 | 82 | 81.6999969482422 | 81.6999969482422 | 81.6999969482422 | 81.5999984741211 | 81.5999984741211 | 81.5 | 81.4000015258789 | 81.1999969482422 | 81.0999984741211 | 81 | 80.9000015258789 | 80.9000015258789 | 80.9000015258789
Brazil | BRA | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 85.4000015258789 | 85.6999969482422 | 86 | 85.5999984741211 | 85.1999969482422 | 84.8000030517578 | 82.9000015258789 | 83.1999969482422 | 82.8000030517578 | 82.6999969482422 | 82.0999984741211 | 81.5 | 81.6999969482422 | 81.4000015258789 | 81.8000030517578 | 82.0999984741211 | 81.6999969482422 | 81.1999969482422 | 81.4000015258789 | 81.1999969482422 | 81.0999984741211 | 81 | 80.9000015258789
Barbados | BRB | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 77.6999969482422 | 75.3000030517578 | 76 | 76.0999984741211 | 76.0999984741211 | 76.5999984741211 | 74.1999969482422 | 75.1999969482422 | 75.4000015258789 | 75.8000030517578 | 76.0999984741211 | 76.3000030517578 | 75.8000030517578 | 75.5999984741211 | 76.4000015258789 | 76.4000015258789 | 76.3000030517578 | 76.3000030517578 | 76.4000015258789 | 76.6999969482422 | 76.6999969482422 | 76.6999969482422 | 76.6999969482422
[NAME] | BRN | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 82.5 | 82.1999969482422 | 81.8000030517578 | 81.4000015258789 | 81 | 80.5999984741211 | 80.4000015258789 | 80.3000030517578 | 80.1999969482422 | 80 | 79.6999969482422 | 79.1999969482422 | 78.9000015258789 | 78.5 | 78.1999969482422 | 77.8000030517578 | 77.4000015258789 | 77.0999984741211 | 76.8000030517578 | 76.4000015258789 | 76.0999984741211 | 75.8000030517578 | 75.5999984741211
Bhutan | BTN | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 78.0999984741211 | 78.3000030517578 | 78.5 | 78.6999969482422 | 78.9000015258789 | 79.0999984741211 | 79.1999969482422 | 79.3000030517578 | 79.1999969482422 | 79.1999969482422 | 79.0999984741211 | 78.9000015258789 | 78.5999984741211 | 78.3000030517578 | 78 | 77.5999984741211 | 77.0999984741211 | 76.5999984741211 | 76.0999984741211 | 75.5 | 76 | 76.5 | 76.9000015258789
Botswana | BWA | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 80.5999984741211 | 80.5999984741211 | 80.5 | 80.5 | 80.4000015258789 | 80.4000015258789 | 80.3000030517578 | 80.3000030517578 | 80.3000030517578 | 80.3000030517578 | 80.4000015258789 | 80.4000015258789 | 80.5 | 80.5999984741211 | 80.6999969482422 | 80.9000015258789 | 80.9000015258789 | 81 | 81.0999984741211 | 81.1999969482422 | 81.3000030517578 | 81.4000015258789 | 81.5
Sub-Saharan Africa (IFC classification) | CAA | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
Central African Republic | CAF | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 87.0999984741211 | 87 | 86.6999969482422 | 86.5999984741211 | 86.4000015258789 | 86.4000015258789 | 86.0999984741211 | 86.0999984741211 | 86 | 86 | 85.9000015258789 | 85.8000030517578 | 85.6999969482422 | 85.5 | 85.4000015258789 | 85.4000015258789 | 85.3000030517578 | 85.3000030517578 | 85.3000030517578 | 85.1999969482422 | 85.1999969482422 | 85.0999984741211 | 85.0999984741211
Canada | CAN | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 76 | 75 | 73.6999969482422 | 73.1999969482422 | 73 | 72.3000030517578 | 72 | 72 | 72 | 72.1999969482422 | 72.1999969482422 | 72 | 72.8000030517578 | 73.1999969482422 | 73 | 72.5999984741211 | 72.1999969482422 | 72.4000015258789 | 72.6999969482422 | 71.8000030517578 | 71.5 | 71.3000030517578 | 71.1999969482422
East Asia and the Pacific (IFC classification) | CEA | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
Central Europe and the Baltics | CEB | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 69.1752144156863 | 68.86928226652806 | 68.31262769233622 | 67.71535291482421 | 67.13972150318493 | 66.84472253433792 | 66.58309042120939 | 66.51579793132997 | 65.98928797019222 | 65.36926405793065 | 65.06832654288522 | 64.62384450512798 | 63.10544768423957 | 62.97439777026826 | 62.9277677452685 | 62.69917088359471 | 62.96622692027054 | 63.23189486031828 | 63.70827999434224 | 63.83030692491031 | 63.86076323663916 | 63.80164821647674 | 64.25221483798519
Europe and Central Asia (IFC classification) | CEU | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
Switzerland | CHE | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 80.5 | 80.8000030517578 | 80.4000015258789 | 80.5 | 79.6999969482422 | 79.4000015258789 | 78.9000015258789 | 78.4000015258789 | 78.4000015258789 | 78 | 77.6999969482422 | 77.1999969482422 | 76.6999969482422 | 76.5999984741211 | 75.8000030517578 | 75 | 75.4000015258789 | 75.8000030517578 | 75.4000015258789 | 75.1999969482422 | 75.3000030517578 | 75.5 | 75.3000030517578
Channel Islands | CHI | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
Chile | CHL | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 77.0999984741211 | 77.0999984741211 | 77.5 | 78.5 | 78.4000015258789 | 77.4000015258789 | 76.6999969482422 | 76.3000030517578 | 76.3000030517578 | 75.9000015258789 | 74.8000030517578 | 74.0999984741211 | 73.5 | 73.0999984741211 | 72.9000015258789 | 73 | 73.5 | 73.5 | 74 | 73.3000030517578 | 74.3000030517578 | 74.9000015258789 | 74.5999984741211
China | CHN | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 84.8000030517578 | 84.8000030517578 | 84.8000030517578 | 84.8000030517578 | 84.8000030517578 | 84.6999969482422 | 84.5 | 84.3000030517578 | 84 | 83.5999984741211 | 83.0999984741211 | 82.4000015258789 | 81.6999969482422 | 80.9000015258789 | 80.1999969482422 | 79.5 | 79 | 78.5999984741211 | 78.3000030517578 | 77.9000015258789 | 77.5999984741211 | 77.8000030517578 | 78.0999984741211
Cote d'Ivoire | CIV | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 87.6999969482422 | 87.0999984741211 | 86.5 | 85.9000015258789 | 85.1999969482422 | 84.5 | 83.8000030517578 | 83.0999984741211 | 82.4000015258789 | 82.3000030517578 | 82.1999969482422 | 82.1999969482422 | 82.1999969482422 | 82.1999969482422 | 82.1999969482422 | 82.1999969482422 | 82.0999984741211 | 82 | 81.9000015258789 | 81.8000030517578 | 81.6999969482422 | 81.5999984741211 | 81.5
Latin America and the Caribbean (IFC classification) | CLA | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
Middle East and North Africa (IFC classification) | CME | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
Cameroon | CMR | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 79.5999984741211 | 79.3000030517578 | 78.9000015258789 | 78.5 | 78.0999984741211 | 77.5999984741211 | 77 | 76.9000015258789 | 76.8000030517578 | 76.5999984741211 | 76.5 | 76.4000015258789 | 76.4000015258789 | 76.3000030517578 | 76.3000030517578 | 76.1999969482422 | 76.3000030517578 | 76.3000030517578 | 76.4000015258789 | 76.4000015258789 | 76.5 | 76.5999984741211 | 76.6999969482422
Congo, Rep. | COG | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 73.0999984741211 | 72.9000015258789 | 72.6999969482422 | 72.4000015258789 | 72.0999984741211 | 71.9000015258789 | 71.8000030517578 | 71.5999984741211 | 71.5999984741211 | 71.4000015258789 | 71.5 | 71.5 | 71.5 | 71.5999984741211 | 71.5999984741211 | 71.6999969482422 | 71.9000015258789 | 72.1999969482422 | 72.4000015258789 | 72.5999984741211 | 72.8000030517578 | 72.9000015258789 | 72.9000015258789
Colombia | COL | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 77.3000030517578 | 77.6999969482422 | 78 | 78.1999969482422 | 78.8000030517578 | 79.4000015258789 | 79.9000015258789 | 80.4000015258789 | 80.9000015258789 | 81.3000030517578 | 81.8000030517578 | 82.0999984741211 | 82.5 | 82.8000030517578 | 81.1999969482422 | 81 | 78.4000015258789 | 77.8000030517578 | 78.4000015258789 | 79.8000030517578 | 79.6999969482422 | 79.6999969482422 | 79.6999969482422
Comoros | COM | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 80.5999984741211 | 80.5 | 80.4000015258789 | 80.3000030517578 | 80.0999984741211 | 80 | 79.8000030517578 | 79.5999984741211 | 79.4000015258789 | 79.1999969482422 | 79.0999984741211 | 79.0999984741211 | 79.1999969482422 | 79.3000030517578 | 79.4000015258789 | 79.5999984741211 | 79.8000030517578 | 79.9000015258789 | 80.0999984741211 | 80.1999969482422 | 80.1999969482422 | 80.1999969482422 | 80.1999969482422
Cabo Verde | CPV | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 85.3000030517578 | 85.1999969482422 | 85.1999969482422 | 85.0999984741211 | 85 | 84.8000030517578 | 84.6999969482422 | 84.4000015258789 | 84.1999969482422 | 84 | 83.8000030517578 | 83.5999984741211 | 83.4000015258789 | 83.3000030517578 | 83.0999984741211 | 83 | 83 | 83 | 83 | 83 | 83.0999984741211 | 83.3000030517578 | 83.5
Costa Rica | CRI | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 84 | 82.6999969482422 | 82.0999984741211 | 82.6999969482422 | 82.5 | 83.4000015258789 | 81.5 | 82.6999969482422 | 83.4000015258789 | 82.5999984741211 | 81.5 | 81.5 | 81.1999969482422 | 80.8000030517578 | 80.0999984741211 | 80.5 | 80.3000030517578 | 81 | 80 | 78.9000015258789 | 78.9000015258789 | 79 | 79
South Asia (IFC classification) | CSA | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
Caribbean small states | CSS | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 79.53719755923942 | 77.01744106339255 | 77.68207878299926 | 78.14258470676951 | 78.17204041724072 | 78.23077576608765 | 77.7954211899093 | 77.56987523334283 | 77.22717771958962 | 76.97902349873588 | 76.90888174046555 | 76.70849571095746 | 76.43439703190906 | 76.35815374885038 | 76.3874718049138 | 76.45581839371559 | 76.29527019556521 | 76.44429441600036 | 76.18403976561605 | 75.26606850835313 | 74.5696621351905 | 74.43149899624224 | 74.36899092368166
Cuba | CUB | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 72.3000030517578 | 72.3000030517578 | 72.3000030517578 | 72.4000015258789 | 72.4000015258789 | 72.4000015258789 | 72.0999984741211 | 71.8000030517578 | 71.3000030517578 | 70.8000030517578 | 70.1999969482422 | 69.5 | 68.8000030517578 | 68 | 67.3000030517578 | 67.1999969482422 | 67.0999984741211 | 67.5999984741211 | 68.4000015258789 | 70.0999984741211 | 70.0999984741211 | 70.0999984741211 | 70.0999984741211
[NAME] | CUW | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
Cayman Islands | CYM | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
Cyprus | CYP | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 70.8000030517578 | 71.1999969482422 | 70 | 71.0999984741211 | 70.0999984741211 | 70 | 70.4000015258789 | 69.5999984741211 | 69.0999984741211 | 69 | 71.9000015258789 | 72.1999969482422 | 71.6999969482422 | 72.6999969482422 | 73.4000015258789 | 73.0999984741211 | 72.8000030517578 | 72.5 | 72 | 71.4000015258789 | 71.3000030517578 | 70.5999984741211 | 70.8000030517578
Czech Republic | CZE | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 70.5999984741211 | 71.3000030517578 | 71.3000030517578 | 71.3000030517578 | 71.4000015258789 | 71.3000030517578 | 71.1999969482422 | 71 | 70.8000030517578 | 70.5999984741211 | 69.9000015258789 | 69.5 | 69.4000015258789 | 68.8000030517578 | 68.5 | 68.6999969482422 | 68.5999984741211 | 68.4000015258789 | 68.1999969482422 | 68.3000030517578 | 68 | 67.5 | 67.8000030517578
Germany | DEU | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 69.5999984741211 | 72.1999969482422 | 71.3000030517578 | 70.5999984741211 | 70 | 69.5 | 69.3000030517578 | 69.1999969482422 | 69.3000030517578 | 68.3000030517578 | 67.6999969482422 | 67.3000030517578 | 66.5 | 65.5 | 66 | 66.5999984741211 | 66.5999984741211 | 66.6999969482422 | 66.5999984741211 | 66.5 | 66.3000030517578 | 66.5 | 66.4000015258789
Djibouti | DJI | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 66.5 | 65.9000015258789 | 65.9000015258789 | 65.9000015258789 | 65.9000015258789 | 66 | 66.0999984741211 | 66.1999969482422 | 66.3000030517578 | 66.4000015258789 | 66.4000015258789 | 66.4000015258789 | 66.3000030517578 | 66.1999969482422 | 66.1999969482422 | 66.0999984741211 | 66.1999969482422 | 66.1999969482422 | 66.3000030517578 | 66.5 | 66.6999969482422 | 67 | 67.3000030517578
Dominica | DMA | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
Denmark | DNK | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 75.3000030517578 | 74.5 | 74.0999984741211 | 73.1999969482422 | 71.4000015258789 | 73 | 72.9000015258789 | 73.1999969482422 | 71.8000030517578 | 72.6999969482422 | 71.6999969482422 | 71.3000030517578 | 72.0999984741211 | 71.6999969482422 | 72 | 71.4000015258789 | 71.5999984741211 | 71.0999984741211 | 71.3000030517578 | 70.1999969482422 | 69.0999984741211 | 68.5 | 67.5
Dominican Republic | DOM | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 84.3000030517578 | 84.4000015258789 | 83.6999969482422 | 83.3000030517578 | 83.3000030517578 | 82.9000015258789 | 82.4000015258789 | 81.8000030517578 | 81.1999969482422 | 80.5999984741211 | 80.0999984741211 | 80.3000030517578 | 80.3000030517578 | 80.5 | 80.5999984741211 | 80.5 | 80.3000030517578 | 80.0999984741211 | 79.6999969482422 | 79.5 | 78.9000015258789 | 78.8000030517578 | 78.6999969482422
Algeria | DZA | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 74.6999969482422 | 75.3000030517578 | 75.9000015258789 | 76.4000015258789 | 77 | 77.5 | 78 | 77.1999969482422 | 76.5 | 75.8000030517578 | 75.1999969482422 | 74.5999984741211 | 74 | 73.4000015258789 | 72.9000015258789 | 72.5 | 72 | 71.5 | 71.0999984741211 | 70.6999969482422 | 71.0999984741211 | 71.5 | 71.9000015258789
East Asia & Pacific (developing only) | EAP | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 84.2390436926732 | 84.25413366753916 | 84.2530127126528 | 84.23513356200691 | 84.17211890168365 | 84.22621352678118 | 84.1679687864133 | 83.85376538256014 | 83.4356004457978 | 83.43028602717727 | 83.03381690154998 | 82.59486065826316 | 82.03870246070656 | 81.51013801843798 | 81.01942404036556 | 80.39001975663751 | 79.94680261224416 | 79.58987129928106 | 79.33043168229544 | 79.08646278629314 | 78.84048571713149 | 79.02777435923416 | 79.2475795616497
East Asia & Pacific (all income levels) | EAS | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 83.28682534820908 | 83.34700330470855 | 83.38328553356087 | 83.36827177263817 | 83.30949641099197 | 83.35678014119458 | 83.30822188275606 | 83.0268857704815 | 82.60240661494049 | 82.54594475461032 | 82.1595389250777 | 81.7167521738833 | 81.19527170691133 | 80.67615381380229 | 80.2087720613016 | 79.6320985132178 | 79.22286749481722 | 78.91629975796472 | 78.64825423862916 | 78.37242160188204 | 78.11546904066914 | 78.24281562041926 | 78.41188871541188
Europe & Central Asia (developing only) | ECA | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 72.6035716346866 | 72.3891326904715 | 72.11846453345858 | 71.52834446428731 | 71.41174706419851 | 71.15461221848965 | 70.95847782212468 | 70.67514596372872 | 70.27894112951577 | 69.8284073089904 | 68.98818330116598 | 68.46250711047786 | 67.43637206349183 | 66.9587890793967 | 67.04815640180075 | 67.30817211973154 | 67.40203067097767 | 67.53349856986328 | 67.84910841452731 | 67.99927626011107 | 68.21916796529841 | 68.59321974462924 | 68.75615239839068
Europe & Central Asia (all income levels) | ECS | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 71.56973452286299 | 71.42081695944294 | 70.63414618409914 | 69.77838212816815 | 69.06669459613106 | 68.70239968120771 | 68.32397381191804 | 67.81124898829177 | 67.47630075545636 | 67.75239064630108 | 67.44692739559802 | 66.87122464647187 | 66.56148889080974 | 66.48276523945894 | 66.60355543728348 | 66.7600643705244 | 66.83273406843205 | 67.05783810678086 | 67.31919010929526 | 67.1502946181195 | 67.0535786285485 | 67.11910841189014 | 67.2258833603474
Ecuador | ECU | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 84 | 83.9000015258789 | 83.9000015258789 | 83.9000015258789 | 83.9000015258789 | 83.8000030517578 | 83.8000030517578 | 83.8000030517578 | 83.8000030517578 | 83.8000030517578 | 83.8000030517578 | 86.5 | 85.4000015258789 | 84.1999969482422 | 84.6999969482422 | 84.6999969482422 | 85.8000030517578 | 84.0999984741211 | 83.3000030517578 | 82.5 | 82.5 | 82.5999984741211 | 82.5999984741211
Egypt, Arab Rep. | EGY | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 74.5999984741211 | 73.5 | 70.9000015258789 | 72.5999984741211 | 73.8000030517578 | 72.6999969482422 | 72.5 | 72.1999969482422 | 71.8000030517578 | 74 | 73.0999984741211 | 71.6999969482422 | 71.8000030517578 | 73.0999984741211 | 74.4000015258789 | 75.5 | 73.1999969482422 | 73.4000015258789 | 73.5999984741211 | 73.9000015258789 | 74.0999984741211 | 74.3000030517578 | 74.5999984741211
Euro area | EMU | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 67.97843445826899 | 68.35297616139316 | 67.36309297896108 | 66.83635652863438 | 66.37942753650827 | 65.93777786249584 | 65.89258286297228 | 65.74876534005601 | 65.8589546649151 | 65.58502444318424 | 65.48575901236393 | 65.17087602151244 | 65.15567413606135 | 65.00024163727095 | 65.20670607667186 | 65.27647601947403 | 65.32427729843128 | 65.31468317436584 | 65.32207827184261 | 64.88947731112053 | 64.51623503929245 | 64.2266929968684 | 64.24399044462697
Eritrea | ERI | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 92 | 91.9000015258789 | 91.9000015258789 | 92.0999984741211 | 92.1999969482422 | 92.0999984741211 | 91.9000015258789 | 91.6999969482422 | 91.4000015258789 | 91.0999984741211 | 90.5999984741211 | 90.4000015258789 | 90 | 89.6999969482422 | 89.5 | 89.4000015258789 | 89.4000015258789 | 89.4000015258789 | 89.4000015258789 | 89.5 | 89.6999969482422 | 89.6999969482422 | 89.8000030517578
Spain | ESP | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 68.9000015258789 | 68.3000030517578 | 67 | 66.4000015258789 | 65.6999969482422 | 65 | 65.0999984741211 | 65 | 65.3000030517578 | 65.5 | 66.0999984741211 | 65.5 | 66 | 66.6999969482422 | 67.3000030517578 | 68 | 68.3000030517578 | 68.4000015258789 | 68.5999984741211 | 67.6999969482422 | 67.3000030517578 | 66.8000030517578 | 66.5
Estonia | EST | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 76.5999984741211 | 75.6999969482422 | 74.5999984741211 | 73.5 | 72.3000030517578 | 71 | 70.4000015258789 | 69.8000030517578 | 69.5999984741211 | 67.5999984741211 | 66.6999969482422 | 66.5 | 65.1999969482422 | 67.3000030517578 | 66.9000015258789 | 65.4000015258789 | 67.6999969482422 | 69 | 69.5999984741211 | 68.8000030517578 | 67.5999984741211 | 68.5 | 68.6999969482422
Ethiopia | ETH | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 90.0999984741211 | 90 | 89.9000015258789 | 90.0999984741211 | 90.1999969482422 | 90.3000030517578 | 90.4000015258789 | 90.4000015258789 | 90.3000030517578 | 90.3000030517578 | 90.4000015258789 | 90.5 | 90.6999969482422 | 90.8000030517578 | 90.8000030517578 | 90.9000015258789 | 90.6999969482422 | 90.5 | 90.1999969482422 | 89.9000015258789 | 89.6999969482422 | 89.5 | 89.4000015258789
European Union | EUU | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 69.11368755106652 | 69.2016174021756 | 68.26526289797087 | 67.65689593353288 | 67.15565839113148 | 66.78701884422186 | 66.69051977414007 | 66.56058750974228 | 66.44628088898124 | 66.16781427885964 | 66.06494031458638 | 65.66008174762011 | 65.31878038797082 | 65.22151811967612 | 65.27208791651078 | 65.28537955409013 | 65.42411079915932 | 65.45217191315189 | 65.56704412368046 | 65.24267208778997 | 64.94599848093839 | 64.7380582233601 | 64.8538693727422
Fragile and conflict affected situations | FCS | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 77.94053680989025 | 77.78880633704871 | 77.61274154595525 | 77.41566621367168 | 77.41739586296087 | 77.37406330475001 | 77.2641602400753 | 77.09352240039779 | 76.93499923485527 | 76.77053763673702 | 76.72475325777802 | 76.80318591809767 | 76.83685454536563 | 76.88460794880359 | 76.91415649349706 | 76.94540037231938 | 77.00769219861988 | 77.11393326003756 | 77.18277351942609 | 77.14977261070553 | 77.26640816402134 | 77.29831685703381 | 77.31862084679041
Finland | FIN | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 71.8000030517578 | 70.3000030517578 | 68.6999969482422 | 67.8000030517578 | 66.9000015258789 | 67.0999984741211 | 66.8000030517578 | 66 | 66.1999969482422 | 66.8000030517578 | 67.0999984741211 | 67.1999969482422 | 66.5999984741211 | 66.1999969482422 | 65.5999984741211 | 65.4000015258789 | 66 | 66 | 66.5 | 64.8000030517578 | 64.5999984741211 | 64.8000030517578 | 64.3000030517578
Fiji | FJI | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 83.4000015258789 | 82.8000030517578 | 82.0999984741211 | 81.4000015258789 | 80.6999969482422 | 79.8000030517578 | 79 | 78.1999969482422 | 77.4000015258789 | 76.5999984741211 | 76 | 75.5 | 75.0999984741211 | 74.8000030517578 | 74.4000015258789 | 73.8000030517578 | 73 | 72.0999984741211 | 72 | 72 | 72 | 72 | 72
France | FRA | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 65.1999969482422 | 64.1999969482422 | 64.0999984741211 | 63.7999992370605 | 63.5 | 63.2999992370605 | 63.7000007629395 | 63.2999992370605 | 63.0999984741211 | 63.0999984741211 | 62.9000015258789 | 62.5 | 62.7000007629395 | 62.7000007629395 | 62.5999984741211 | 62.4000015258789 | 62.2000007629395 | 62 | 62 | 62.0999984741211 | 62 | 61.5999984741211 | 61.7999992370605
Faeroe Islands | FRO | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
Micronesia, Fed. [NAME]. | FSM | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
Gabon | GAB | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 69.1999969482422 | 69.4000015258789 | 69.1999969482422 | 69.1999969482422 | 68.6999969482422 | 68.3000030517578 | 67.8000030517578 | 67.4000015258789 | 66.9000015258789 | 66.5 | 66.0999984741211 | 65.5999984741211 | 65.1999969482422 | 64.8000030517578 | 64.4000015258789 | 64.0999984741211 | 64.1999969482422 | 64.3000030517578 | 64.4000015258789 | 64.5999984741211 | 64.6999969482422 | 64.9000015258789 | 65.0999984741211
United Kingdom | GBR | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 74.6999969482422 | 74.0999984741211 | 72.8000030517578 | 71.8000030517578 | 71.5 | 71.0999984741211 | 70.9000015258789 | 70.6999969482422 | 70.3000030517578 | 70.4000015258789 | 70.4000015258789 | 69.6999969482422 | 69.5999984741211 | 69.9000015258789 | 69.4000015258789 | 69.3000030517578 | 69.6999969482422 | 69.5999984741211 | 69.6999969482422 | 69.1999969482422 | 68.5999984741211 | 68.5999984741211 | 68.8000030517578
Georgia | GEO | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 74.5 | 75.3000030517578 | 75.9000015258789 | 75.1999969482422 | 74.8000030517578 | 74.9000015258789 | 75.1999969482422 | 75.3000030517578 | 75.3000030517578 | 75.1999969482422 | 74 | 75.6999969482422 | 73.8000030517578 | 74.8000030517578 | 73.1999969482422 | 73.3000030517578 | 73.1999969482422 | 73.0999984741211 | 73.3000030517578 | 73.6999969482422 | 73.9000015258789 | 74.3000030517578 | 74.6999969482422
Ghana | GHA | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 72.8000030517578 | 72.8000030517578 | 72.6999969482422 | 73.1999969482422 | 73.5999984741211 | 74.0999984741211 | 74.5999984741211 | 75.0999984741211 | 75.5999984741211 | 76.0999984741211 | 76.5999984741211 | 75.6999969482422 | 74.8000030517578 | 73.8000030517578 | 72.8000030517578 | 71.6999969482422 | 70.5999984741211 | 70.6999969482422 | 70.6999969482422 | 70.8000030517578 | 70.9000015258789 | 71.0999984741211 | 71.1999969482422
Guinea | GIN | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 79 | 78.9000015258789 | 78.8000030517578 | 78.6999969482422 | 78.6999969482422 | 78.5999984741211 | 78.5999984741211 | 78.5 | 78.5 | 78.5 | 78.4000015258789 | 78.4000015258789 | 78.4000015258789 | 78.4000015258789 | 78.4000015258789 | 78.3000030517578 | 78.3000030517578 | 78.3000030517578 | 78.3000030517578 | 78.3000030517578 | 78.3000030517578 | 78.3000030517578 | 78.3000030517578
Gambia, The | GMB | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 85.1999969482422 | 85.0999984741211 | 85.0999984741211 | 85.0999984741211 | 85 | 84.8000030517578 | 84.5 | 84.1999969482422 | 83.9000015258789 | 83.6999969482422 | 83.5999984741211 | 83.5 | 83.4000015258789 | 83.4000015258789 | 83.5 | 83.5 | 83.5 | 83.5 | 83.4000015258789 | 83.3000030517578 | 83.1999969482422 | 83.0999984741211 | 83
Guinea-Bissau | GNB | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 78.0999984741211 | 77.9000015258789 | 78 | 78.3000030517578 | 78.5999984741211 | 78.8000030517578 | 78.9000015258789 | 79 | 78.4000015258789 | 78.4000015258789 | 78.5 | 78.5 | 78.4000015258789 | 78.4000015258789 | 78.4000015258789 | 78.5 | 78.5 | 78.4000015258789 | 78.4000015258789 | 78.4000015258789 | 78.4000015258789 | 78.4000015258789 | 78.5
Equatorial Guinea | GNQ | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 91.5999984741211 | 92.0999984741211 | 92.5 | 92.9000015258789 | 93.0999984741211 | 93.3000030517578 | 93.4000015258789 | 93.5 | 93.4000015258789 | 93.4000015258789 | 93.1999969482422 | 93.0999984741211 | 92.9000015258789 | 92.8000030517578 | 92.5999984741211 | 92.5 | 92.4000015258789 | 92.3000030517578 | 92.3000030517578 | 92.3000030517578 | 92.3000030517578 | 92.3000030517578 | 92.3000030517578
Greece | GRC | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 66.8000030517578 | 66 | 66 | 65.6999969482422 | 66 | 66.0999984741211 | 66.1999969482422 | 65.6999969482422 | 65.8000030517578 | 65.4000015258789 | 65.3000030517578 | 64.4000015258789 | 64.5999984741211 | 64.8000030517578 | 64.8000030517578 | 64.6999969482422 | 65 | 64.8000030517578 | 64.9000015258789 | 64.6999969482422 | 64.4000015258789 | 63.2999992370605 | 62.5999984741211
Grenada | GRD | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
Greenland | GRL | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
Guatemala | GTM | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 87.9000015258789 | 87.8000030517578 | 87.5 | 87.4000015258789 | 87.1999969482422 | 86.9000015258789 | 86.8000030517578 | 86.5999984741211 | 86.3000030517578 | 86.0999984741211 | 86 | 86 | 85.9000015258789 | 86 | 85.9000015258789 | 87.4000015258789 | 88.5 | 88.0999984741211 | 88 | 88.1999969482422 | 88.1999969482422 | 88.1999969482422 | 88.1999969482422
Guam | GUM | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 77.1999969482422 | 77.0999984741211 | 77 | 76.8000030517578 | 76.5999984741211 | 76.3000030517578 | 76 | 75.5 | 75 | 74.4000015258789 | 73.8000030517578 | 73.1999969482422 | 71.0999984741211 | 71.5 | 71.9000015258789 | 69.6999969482422 | 71.3000030517578 | 72.5 | 71.6999969482422 | 70.5999984741211 | 70.0999984741211 | 69.5999984741211 | 69.5
Guyana | GUY | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 83 | 82.5 | 82 | 81.4000015258789 | 81.3000030517578 | 81.3000030517578 | 81.1999969482422 | 81.1999969482422 | 81.1999969482422 | 81.3000030517578 | 81.4000015258789 | 81.4000015258789 | 81.5 | 81.5999984741211 | 81.6999969482422 | 81.8000030517578 | 81.8000030517578 | 81.8000030517578 | 81.8000030517578 | 81.5999984741211 | 81.4000015258789 | 81.1999969482422 | 80.9000015258789
High income | HIC | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 73.41528687100933 | 73.23464892484556 | 72.74778748742074 | 72.16162970846982 | 71.61873341289686 | 71.39253898044049 | 71.13492171724069 | 70.81466923670847 | 70.53954307281185 | 70.68255805249808 | 70.55367726282198 | 70.02462040341213 | 69.84551179258479 | 69.64296004639142 | 69.6154367451586 | 69.63293830488661 | 69.7149351676868 | 69.847629842244 | 69.91192677487713 | 69.43974234157118 | 69.09716223526196 | 68.9250367827381 | 68.98482641929365
Hong Kong SAR, China | HKG | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 79.3000030517578 | 79 | 78.4000015258789 | 78 | 77.3000030517578 | 76.8000030517578 | 76 | 75.3000030517578 | 74.6999969482422 | 73.9000015258789 | 73.3000030517578 | 72.5999984741211 | 72.1999969482422 | 72 | 71.8000030517578 | 71.1999969482422 | 70.9000015258789 | 70.5 | 69.5999984741211 | 69.3000030517578 | 68.4000015258789 | 68.1999969482422 | 68
Honduras | HND | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 86.1999969482422 | 86.0999984741211 | 85.9000015258789 | 86.4000015258789 | 86.8000030517578 | 87.1999969482422 | 87.8000030517578 | 87.9000015258789 | 88.4000015258789 | 89 | 88 | 87 | 85.5999984741211 | 84.8000030517578 | 83.9000015258789 | 83.6999969482422 | 83.3000030517578 | 83 | 82.9000015258789 | 83 | 82.9000015258789 | 82.9000015258789 | 82.9000015258789
Heavily indebted poor countries (HIPC) | HPC | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 82.96396740972249 | 82.77832447173809 | 82.55863085547253 | 82.378776804889 | 82.30665003885086 | 82.24524094560815 | 82.15944919769089 | 82.06568387614308 | 82.01483790946506 | 82.0271743693294 | 81.96300067771787 | 81.92024194121664 | 81.92055876890468 | 81.87852627567032 | 81.83130432834662 | 81.79604238877234 | 81.71712809519153 | 81.68609331374573 | 81.70252489561321 | 81.72888884239003 | 81.77342193114877 | 81.74459864158344 | 81.73923061732918
Croatia | HRV | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 68.5 | 69 | 68.3000030517578 | 67.5 | 66.8000030517578 | 66.0999984741211 | 65.4000015258789 | 64.8000030517578 | 64.0999984741211 | 63.5999984741211 | 63 | 62 | 60.7999992370605 | 61 | 62 | 61.2999992370605 | 60.0999984741211 | 61.2000007629395 | 60.7000007629395 | 59.7999992370605 | 59.0999984741211 | 59.2000007629395 | 58.5
Haiti | HTI | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 77.4000015258789 | 76.6999969482422 | 76 | 75.1999969482422 | 74.4000015258789 | 73.5 | 72.5999984741211 | 71.6999969482422 | 70.6999969482422 | 69.8000030517578 | 69 | 69 | 69 | 69.0999984741211 | 69.3000030517578 | 69.5 | 69.5999984741211 | 69.8000030517578 | 70 | 70.1999969482422 | 70.5 | 70.6999969482422 | 70.8000030517578
Hungary | HUN | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 64.4000015258789 | 63.4000015258789 | 63.0999984741211 | 60.7000007629395 | 59 | 59.2000007629395 | 58.5 | 57.5999984741211 | 56.5999984741211 | 57.7000007629395 | 58 | 57.7999992370605 | 57.5999984741211 | 58.0999984741211 | 57.9000015258789 | 58.2999992370605 | 58.9000015258789 | 58.9000015258789 | 58.4000015258789 | 58.2000007629395 | 58.2999992370605 | 58.9000015258789 | 59.9000015258789
Indonesia | IDN | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 81.0999984741211 | 81.5 | 81.8000030517578 | 82.1999969482422 | 82 | 83.3000030517578 | 84.4000015258789 | 83.0999984741211 | 81.1999969482422 | 84.6999969482422 | 84.8000030517578 | 84.8000030517578 | 84.9000015258789 | 85 | 85.1999969482422 | 85.4000015258789 | 85.0999984741211 | 84.8000030517578 | 84.3000030517578 | 84.6999969482422 | 84.5 | 84.5 | 84.4000015258789
Isle of Man | IMN | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
India | IND | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 85.0999984741211 | 84.9000015258789 | 84.6999969482422 | 84.5 | 84.1999969482422 | 84 | 83.8000030517578 | 83.5 | 83.3000030517578 | 83 | 82.8000030517578 | 82.9000015258789 | 83 | 83.0999984741211 | 83.1999969482422 | 83.3000030517578 | 82.8000030517578 | 82.3000030517578 | 81.8000030517578 | 81.3000030517578 | 80.8000030517578 | 80.8000030517578 | 80.9000015258789
Not classified | INX | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
Ireland | IRL | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 70.5999984741211 | 70.5 | 68.4000015258789 | 68 | 68.3000030517578 | 68.1999969482422 | 68.4000015258789 | 68.4000015258789 | 69.5999984741211 | 70.5 | 71.3000030517578 | 71.1999969482422 | 70.8000030517578 | 70.6999969482422 | 71.3000030517578 | 72.5 | 73.3000030517578 | 73.3000030517578 | 72.5 | 70.5999984741211 | 69 | 68.1999969482422 | 67.9000015258789
Iran, Islamic Rep. | IRN | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 80.5999984741211 | 80.3000030517578 | 79.3000030517578 | 78.3000030517578 | 77.1999969482422 | 76 | 74.6999969482422 | 74.4000015258789 | 74.0999984741211 | 73.8000030517578 | 73.6999969482422 | 73.6999969482422 | 73.6999969482422 | 73.9000015258789 | 74.0999984741211 | 74.4000015258789 | 73.3000030517578 | 72.4000015258789 | 70.4000015258789 | 71.0999984741211 | 71.9000015258789 | 72.5 | 73.0999984741211
Iraq | IRQ | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 71.5999984741211 | 71.4000015258789 | 71.1999969482422 | 71 | 70.9000015258789 | 70.6999969482422 | 70.5999984741211 | 70.4000015258789 | 70.3000030517578 | 70.0999984741211 | 69.9000015258789 | 69.6999969482422 | 69.4000015258789 | 69.1999969482422 | 68.9000015258789 | 69.0999984741211 | 69.0999984741211 | 69.3000030517578 | 69.1999969482422 | 69.3000030517578 | 69.5 | 69.5999984741211 | 69.6999969482422
Iceland | ISL | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 81.9000015258789 | 82.1999969482422 | 82.5999984741211 | 80.1999969482422 | 79.9000015258789 | 81.8000030517578 | 80.3000030517578 | 80.3000030517578 | 81.4000015258789 | 82 | 82.1999969482422 | 82 | 81.0999984741211 | 80.3000030517578 | 79.4000015258789 | 80.1999969482422 | 81.6999969482422 | 81.5 | 80.8000030517578 | 78.5 | 78.5999984741211 | 77.9000015258789 | 77.3000030517578
Israel | ISR | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 62.5999984741211 | 62.2000007629395 | 61.9000015258789 | 62.7999992370605 | 62.9000015258789 | 62.7999992370605 | 61.9000015258789 | 61.2000007629395 | 60.9000015258789 | 60.7000007629395 | 60.5999984741211 | 60.5 | 60 | 60 | 60.5999984741211 | 60.7000007629395 | 61.2000007629395 | 62 | 62.2999992370605 | 61.9000015258789 | 62.2999992370605 | 62.5 | 69.5
Italy | ITA | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 66.5 | 66.4000015258789 | 64.4000015258789 | 63.9000015258789 | 62.7999992370605 | 62 | 61.7999992370605 | 61.5999984741211 | 61.5999984741211 | 61.4000015258789 | 61.2000007629395 | 61 | 61.2999992370605 | 61.7000007629395 | 61.9000015258789 | 61.0999984741211 | 61 | 60.5999984741211 | 60.5999984741211 | 59.7999992370605 | 59.2999992370605 | 58.9000015258789 | 59.4000015258789
Jamaica | JAM | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 81.8000030517578 | 81.5 | 81.1999969482422 | 80.9000015258789 | 80.5 | 80.0999984741211 | 79.5999984741211 | 79.0999984741211 | 78.5999984741211 | 78.0999984741211 | 77.6999969482422 | 77.4000015258789 | 77 | 76.5999984741211 | 76.3000030517578 | 76.1999969482422 | 76 | 75.8000030517578 | 75.5 | 73.0999984741211 | 71.5 | 71.0999984741211 | 71
Jordan | JOR | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 65.5999984741211 | 67.3000030517578 | 67.0999984741211 | 68 | 68.6999969482422 | 68.8000030517578 | 69.0999984741211 | 69.0999984741211 | 69 | 68.6999969482422 | 68.5 | 68.6999969482422 | 67.5 | 67.3000030517578 | 67.5999984741211 | 67.5 | 66.9000015258789 | 67.4000015258789 | 67.5 | 68.8000030517578 | 67.9000015258789 | 67.0999984741211 | 66.1999969482422
Japan | JPN | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 77.1999969482422 | 77.6999969482422 | 78.0999984741211 | 78.1999969482422 | 77.9000015258789 | 77.8000030517578 | 77.8000030517578 | 77.8000030517578 | 77.4000015258789 | 76.9000015258789 | 76.4000015258789 | 75.6999969482422 | 75 | 74.3000030517578 | 73.5999984741211 | 73.3000030517578 | 73.0999984741211 | 73.1999969482422 | 72.9000015258789 | 72.1999969482422 | 71.5999984741211 | 70.9000015258789 | 70.4000015258789
Kazakhstan | KAZ | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 78 | 77.8000030517578 | 77.5999984741211 | 77.4000015258789 | 77.1999969482422 | 77 | 76.8000030517578 | 76.5999984741211 | 76.5 | 76.4000015258789 | 76.3000030517578 | 76.1999969482422 | 76.0999984741211 | 75.6999969482422 | 75.1999969482422 | 75.1999969482422 | 75.3000030517578 | 75.5 | 75.8000030517578 | 76.1999969482422 | 76.5999984741211 | 77.0999984741211 | 77.5
Kenya | [NAME] | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 80.4000015258789 | 79.6999969482422 | 79 | 78.4000015258789 | 77.6999969482422 | 77 | 76.3000030517578 | 75.5 | 74.8000030517578 | 74 | 73.3000030517578 | 72.5999984741211 | 71.9000015258789 | 71.1999969482422 | 70.5999984741211 | 70 | 70.3000030517578 | 70.6999969482422 | 71 | 71.3000030517578 | 71.6999969482422 | 71.9000015258789 | 72.1999969482422
Kyrgyz Republic | KGZ | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 74.3000030517578 | 74.3000030517578 | 74.3000030517578 | 74.3000030517578 | 74.3000030517578 | 74.3000030517578 | 74.1999969482422 | 74.1999969482422 | 74.0999984741211 | 74.0999984741211 | 74.0999984741211 | 74 | 73.9000015258789 | 74.0999984741211 | 74.1999969482422 | 75.9000015258789 | 77.3000030517578 | 77.5 | 77.5999984741211 | 77.9000015258789 | 78.1999969482422 | 78.5999984741211 | 79
Cambodia | KHM | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 83.8000030517578 | 84 | 84.3000030517578 | 84.8000030517578 | 84.8000030517578 | 84.4000015258789 | 83.6999969482422 | 84.0999984741211 | 84.5 | 83 | 81.4000015258789 | 82.3000030517578 | 83.3000030517578 | 84.5 | 85.5999984741211 | 85.8000030517578 | 86 | 86 | 86.0999984741211 | 86.1999969482422 | 86.3000030517578 | 86.4000015258789 | 86.5
Kiribati | KIR | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
St. Kitts and Nevis | KNA | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
Korea, Rep. | KOR | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 73.4000015258789 | 74 | 74.5 | 74.4000015258789 | 75.0999984741211 | 75.3000030517578 | 75.3000030517578 | 75.3000030517578 | 74.3000030517578 | 73.5999984741211 | 73.4000015258789 | 73.0999984741211 | 73.6999969482422 | 73.5 | 73.8000030517578 | 73.4000015258789 | 73 | 72.9000015258789 | 72.1999969482422 | 71.6999969482422 | 71.6999969482422 | 71.8000030517578 | 72
Kosovo | KSV | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
Kuwait | KWT | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 78.3000030517578 | 78.5999984741211 | 79.4000015258789 | 80.5999984741211 | 81.5999984741211 | 82.4000015258789 | 82.8000030517578 | 82.8000030517578 | 82.5999984741211 | 82.3000030517578 | 82.1999969482422 | 82.0999984741211 | 82 | 82 | 82 | 81.9000015258789 | 81.9000015258789 | 81.9000015258789 | 81.9000015258789 | 82.0999984741211 | 82.3000030517578 | 82.5 | 82.8000030517578
Latin America & Caribbean (developing only) | LAC | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 82.57000119747848 | 82.75757871092095 | 82.95459872069462 | 82.87541254214196 | 82.66758174356389 | 82.36813925170449 | 81.71189765580228 | 81.97807925995542 | 81.89223345043003 | 81.66998662569507 | 81.16290548020683 | 80.93612560397277 | 80.79248134723298 | 80.36580634190969 | 80.6497922140402 | 80.64290021550359 | 80.5523208365173 | 80.27392008074115 | 80.38868109355099 | 80.05739650944696 | 80.1572045448667 | 79.91357265655664 | 80.0054489313713
Lao PDR | LAO | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 82.9000015258789 | 82.8000030517578 | 82.6999969482422 | 82.5999984741211 | 82.3000030517578 | 82.0999984741211 | 81.9000015258789 | 81.6999969482422 | 81.5 | 81.3000030517578 | 81.0999984741211 | 80.8000030517578 | 80.5 | 80.1999969482422 | 79.8000030517578 | 79.5999984741211 | 79.3000030517578 | 79.0999984741211 | 78.9000015258789 | 78.8000030517578 | 78.6999969482422 | 78.8000030517578 | 78.9000015258789
Lebanon | LBN | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 70.3000030517578 | 70.6999969482422 | 70.5999984741211 | 70.4000015258789 | 70 | 69.8000030517578 | 69.5999984741211 | 70.0999984741211 | 70.0999984741211 | 70.4000015258789 | 70.6999969482422 | 70.6999969482422 | 70.8000030517578 | 70.9000015258789 | 70.5 | 70.5999984741211 | 70.5999984741211 | 70.3000030517578 | 70.0999984741211 | 70 | 70 | 70.1999969482422 | 70.5
Liberia | LBR | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 64.5999984741211 | 64.4000015258789 | 64 | 63.5999984741211 | 63.2999992370605 | 63 | 62.7999992370605 | 62.5999984741211 | 62.4000015258789 | 62.2999992370605 | 62.2000007629395 | 62.2999992370605 | 62.2999992370605 | 62.5 | 62.5999984741211 | 62.9000015258789 | 63.2999992370605 | 63.7000007629395 | 64 | 64.1999969482422 | 64.3000030517578 | 64.5 | 64.6999969482422
Libya | LBY | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 73.9000015258789 | 73.5999984741211 | 73.5999984741211 | 73.5999984741211 | 73.5 | 73.6999969482422 | 73.5999984741211 | 73.5999984741211 | 73.6999969482422 | 73.8000030517578 | 73.9000015258789 | 74.1999969482422 | 74.5 | 74.5999984741211 | 74.8000030517578 | 75 | 75.1999969482422 | 75.5 | 75.6999969482422 | 76 | 76.0999984741211 | 76.3000030517578 | 76.4000015258789
St. Lucia | LCA | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 75.9000015258789 | 76 | 75.5999984741211 | 75.8000030517578 | 76.0999984741211 | 76.0999984741211 | 75.8000030517578 | 76 | 75.5 | 75.4000015258789 | 75.6999969482422 | 76.5 | 76.5 | 76.6999969482422 | 77.1999969482422 | 77.5999984741211 | 75.8000030517578 | 75.3000030517578 | 75.4000015258789 | 75.8000030517578 | 75.9000015258789 | 76 | 76
Latin America & Caribbean (all income levels) | LCN | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 82.13223661318266 | 82.29708580263275 | 82.5064378583006 | 82.47480187408642 | 82.28271102835129 | 81.97069409010768 | 81.33117640423907 | 81.57603632585048 | 81.49323846412925 | 81.2547641077996 | 80.73344993709875 | 80.50428403632905 | 80.34249935742996 | 79.92266144171732 | 80.19253655045854 | 80.19813764546525 | 80.1382309421314 | 79.86850952181125 | 79.98399198397662 | 79.65060951738312 | 79.75782655042961 | 79.53845140729173 | 79.6200124639941
Latin America and the Caribbean | LCR | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
Least developed countries: UN classification | LDC | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 84.20805460412649 | 84.01814103127488 | 83.84899376165016 | 83.68055093756877 | 83.57589389933032 | 83.48425850504171 | 83.34003244657343 | 83.20950912344905 | 83.1406685478828 | 83.03174063779707 | 82.87733893294288 | 82.8572733359903 | 82.86895530896307 | 82.86396568259791 | 82.83856410205915 | 82.808648040735 | 82.74747740063391 | 82.69838273192086 | 82.6590653925252 | 82.64252343573027 | 82.62373370287483 | 82.57768129559688 | 82.5669208745888
Low income | LIC | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 84.62546323711278 | 84.4727423161894 | 84.35459044312098 | 84.25355282231976 | 84.1119570967418 | 84.0080540843549 | 83.85787858717607 | 83.69908466028473 | 83.59338327916916 | 83.42845735755166 | 83.27421064638101 | 83.25457028908207 | 83.25124278312573 | 83.23474673405791 | 83.18535073353813 | 83.09638799452428 | 83.02277882588149 | 82.97084945810705 | 82.93030985934672 | 82.9369598744554 | 82.92777290812641 | 82.88791538739932 | 82.88637310820678
[NAME] | LIE | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
[NAME] | LKA | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 78.0999984741211 | 77.4000015258789 | 76.5999984741211 | 77.0999984741211 | 76.8000030517578 | 75 | 75.8000030517578 | 76.5 | 77.5 | 78.1999969482422 | 76.9000015258789 | 76.8000030517578 | 76.6999969482422 | 76.5999984741211 | 75.1999969482422 | 76.1999969482422 | 77.0999984741211 | 76.5 | 76.5999984741211 | 76.1999969482422 | 76.5 | 76.5 | 76.4000015258789
Lower middle income | LMC | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 82.50431782408245 | 82.33133236428223 | 82.10577087610501 | 81.93972671827369 | 81.7563231849474 | 81.68968413418912 | 81.6283337182999 | 81.2495529606033 | 80.85566840343391 | 81.05566369450551 | 80.79677236599866 | 80.73291552015375 | 80.62976036842106 | 80.69591949076734 | 80.68470509376795 | 80.75541351081424 | 80.40415141835756 | 80.01417318658824 | 79.71026285810434 | 79.49123909454822 | 79.21067116807095 | 79.27831984799438 | 79.35977834029113
Low & middle income | LMY | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 82.8344248610108 | 82.74054002475079 | 82.6189678443079 | 82.4718968739429 | 82.33090075901829 | 82.19986599807213 | 82.00830117996577 | 81.77839584344929 | 81.47586891859578 | 81.35525581717948 | 80.99890962826525 | 80.72564851517731 | 80.41037528211758 | 80.12000722281341 | 79.93660640862642 | 79.75150702485442 | 79.42889939207092 | 79.114848470047 | 78.90706031165519 | 78.66766067305603 | 78.48074949433082 | 78.5652088736077 | 78.72058396460312
[NAME] | LSO | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 83.0999984741211 | 82.9000015258789 | 83 | 82.8000030517578 | 82.8000030517578 | 82.5 | 82.3000030517578 | 82 | 81.8000030517578 | 81.4000015258789 | 80.4000015258789 | 79.5 | 78.5 | 77.5 | 76.5 | 75.5 | 74.5999984741211 | 73.8000030517578 | 72.9000015258789 | 73 | 73 | 73.1999969482422 | 73.3000030517578
Lithuania | LTU | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 74.4000015258789 | 74 | 73.5999984741211 | 73.0999984741211 | 72.5999984741211 | 72 | 71.1999969482422 | 70.4000015258789 | 69.6999969482422 | 68.1999969482422 | 66.4000015258789 | 65.3000030517578 | 65.3000030517578 | 66.5999984741211 | 64.5 | 63.2999992370605 | 62.2000007629395 | 63 | 63.5999984741211 | 63.9000015258789 | 64.1999969482422 | 65.9000015258789 | 66.3000030517578
Luxembourg | LUX | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 68.3000030517578 | 68.9000015258789 | 68.1999969482422 | 68.3000030517578 | 67.4000015258789 | 66.1999969482422 | 66.1999969482422 | 65.5 | 65.5999984741211 | 65.1999969482422 | 66 | 65.0999984741211 | 65.9000015258789 | 64.4000015258789 | 64.3000030517578 | 64.6999969482422 | 64.3000030517578 | 63.5999984741211 | 63.5999984741211 | 66.1999969482422 | 65.4000015258789 | 64.4000015258789 | 64.9000015258789
Latvia | LVA | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 76.6999969482422 | 75.6999969482422 | 74.6999969482422 | 73.5 | 72.1999969482422 | 70.6999969482422 | 69.1999969482422 | 67.9000015258789 | 68 | 67.1999969482422 | 64.9000015258789 | 64.5999984741211 | 66.9000015258789 | 65.6999969482422 | 66.6999969482422 | 66.3000030517578 | 68 | 69.0999984741211 | 70.4000015258789 | 67.5999984741211 | 65.4000015258789 | 65.6999969482422 | 67.0999984741211
Macao SAR, China | MAC | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 71.8000030517578 | 72 | 71.5 | 71.1999969482422 | 70.1999969482422 | 72.4000015258789 | 80.5 | 79.3000030517578 | 78.4000015258789 | 76.9000015258789 | 75.5 | 76.6999969482422 | 73.5 | 72.8000030517578 | 73.8000030517578 | 74.3000030517578 | 76.0999984741211 | 77.0999984741211 | 77.8000030517578 | 77 | 77.1999969482422 | 77.4000015258789 | 77.5
St. Martin (French part) | MAF | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
Morocco | MAR | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 80.4000015258789 | 80.0999984741211 | 80.6999969482422 | 80.9000015258789 | 80.1999969482422 | 81 | 80.0999984741211 | 80.5 | 80 | 80.0999984741211 | 79.4000015258789 | 78.9000015258789 | 78.4000015258789 | 78.5 | 78.8000030517578 | 78.1999969482422 | 77.5999984741211 | 77.4000015258789 | 77.3000030517578 | 76.9000015258789 | 75.6999969482422 | 75.8000030517578 | 75.8000030517578
Mexico and Central America | MCA | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
Monaco | MCO | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
Moldova | MDA | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 74.1999969482422 | 73.5999984741211 | 72.9000015258789 | 72.1999969482422 | 71.3000030517578 | 70.4000015258789 | 69.4000015258789 | 68.3000030517578 | 67.0999984741211 | 65.8000030517578 | 64.3000030517578 | 61.9000015258789 | 60.2999992370605 | 54.7000007629395 | 52 | 50.5999984741211 | 49.7999992370605 | 47.9000015258789 | 47.4000015258789 | 46.0999984741211 | 44.9000015258789 | 45.4000015258789 | 43.2999992370605
Madagascar | MDG | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 88.8000030517578 | 88.6999969482422 | 88.6999969482422 | 88.5999984741211 | 88.5 | 88.5999984741211 | 88.8000030517578 | 89 | 89.3000030517578 | 89.4000015258789 | 89.5 | 89.5999984741211 | 89.4000015258789 | 89.4000015258789 | 89.3000030517578 | 89.0999984741211 | 89.5999984741211 | 90 | 90.3000030517578 | 90.6999969482422 | 91 | 90.8000030517578 | 90.5999984741211
Maldives | MDV | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 77.0999984741211 | 76.5 | 75.8000030517578 | 75.1999969482422 | 74.5 | 73.8000030517578 | 73.4000015258789 | 72.9000015258789 | 72.3000030517578 | 71.9000015258789 | 71.4000015258789 | 71.9000015258789 | 72.4000015258789 | 73 | 73.6999969482422 | 74.5999984741211 | 75.5 | 75.5999984741211 | 75.8000030517578 | 76.0999984741211 | 76.4000015258789 | 76.8000030517578 | 77.0999984741211
Middle East & North Africa (all income levels) | MEA | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 76.90673824457717 | 76.60073158653631 | 75.87624047056154 | 76.0979803201669 | 76.07981177255961 | 75.6746369286851 | 75.16591951191391 | 74.80078013681656 | 74.33580275556376 | 74.47375070750321 | 74.19417448231823 | 73.70356467429829 | 73.50213379141233 | 73.70996168011897 | 73.95763435885034 | 74.15504242176134 | 73.39707994181819 | 73.33341694757085 | 72.99553630459732 | 73.18891982193804 | 73.48089859588846 | 73.83078957604096 | 74.28063396718727
Mexico | MEX | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 83.9000015258789 | 84.5 | 84.9000015258789 | 85.3000030517578 | 84.3000030517578 | 82.9000015258789 | 83.0999984741211 | 83.8000030517578 | 83.8000030517578 | 83.0999984741211 | 82.4000015258789 | 81.9000015258789 | 81.5 | 80.9000015258789 | 81.3000030517578 | 80.8000030517578 | 81.5 | 81.1999969482422 | 81.0999984741211 | 79.6999969482422 | 80.5 | 79.4000015258789 | 80
Marshall Islands | MHL | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
Middle income | MIC | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 82.6279735618293 | 82.53905616726546 | 82.41496893871201 | 82.26021109827428 | 82.11709757576611 | 81.9807919623971 | 81.78242108862709 | 81.54222206815125 | 81.21391605326268 | 81.09735013283652 | 80.71433921440492 | 80.40764669929199 | 80.05130011364886 | 79.72429279352275 | 79.52166426777511 | 79.3218314571082 | 78.9643516761457 | 78.61295669036114 | 78.3793488154104 | 78.1027395971287 | 77.88631848541485 | 77.98070112080457 | 78.15001157529487
Macedonia, FYR | MKD | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 66.9000015258789 | 67 | 67.0999984741211 | 67.1999969482422 | 67 | 66.9000015258789 | 66.6999969482422 | 66.4000015258789 | 66.0999984741211 | 65.9000015258789 | 65.5999984741211 | 65.4000015258789 | 65.0999984741211 | 64.9000015258789 | 62.9000015258789 | 63.7999992370605 | 66.3000030517578 | 66.1999969482422 | 67.5999984741211 | 68.4000015258789 | 68.5999984741211 | 67.5999984741211 | 67.3000030517578
[NAME] | MLI | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 65.1999969482422 | 65.1999969482422 | 65.4000015258789 | 65.0999984741211 | 64.9000015258789 | 65.0999984741211 | 65.0999984741211 | 65.4000015258789 | 65.5999984741211 | 65.9000015258789 | 66 | 66.5999984741211 | 66.8000030517578 | 67.1999969482422 | 67.3000030517578 | 70 | 72.5 | 74.9000015258789 | 77.1999969482422 | 79.4000015258789 | 81.4000015258789 | 81.4000015258789 | 81.4000015258789
Malta | MLT | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 78.5 | 77.6999969482422 | 76.6999969482422 | 76 | 75.3000030517578 | 74.8000030517578 | 74.4000015258789 | 73.6999969482422 | 73.3000030517578 | 72.5999984741211 | 71.8000030517578 | 73.4000015258789 | 70.9000015258789 | 70.5999984741211 | 69.5999984741211 | 68.5999984741211 | 68.1999969482422 | 67.6999969482422 | 66.9000015258789 | 66.6999969482422 | 67.1999969482422 | 67.4000015258789 | 66.5
Myanmar | MMR | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 79.1999969482422 | 79.1999969482422 | 79.3000030517578 | 79.4000015258789 | 79.5 | 79.5999984741211 | 79.5999984741211 | 79.6999969482422 | 79.9000015258789 | 80 | 80.0999984741211 | 80.3000030517578 | 80.5 | 80.8000030517578 | 81 | 81.1999969482422 | 81.4000015258789 | 81.5999984741211 | 81.8000030517578 | 81.9000015258789 | 82.0999984741211 | 82.1999969482422 | 82.1999969482422
Middle East & North Africa (developing only) | MNA | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 76.59605544112449 | 76.2750117124605 | 75.44106265065393 | 75.70842717827223 | 75.73593043248468 | 75.27488482341407 | 74.81412132774732 | 74.5385934142017 | 74.14688619816164 | 74.43533996409843 | 73.99106503568242 | 73.46220853293987 | 73.2463634523308 | 73.4550584150473 | 73.68465712761397 | 73.85059078032634 | 72.86890257325949 | 72.60637392770236 | 72.06152897723308 | 72.16140461315533 | 72.3525098333203 | 72.63605464987003 | 72.91419488296542
Montenegro | MNE | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 63.2000007629395 | 63.7000007629395 | 63.9000015258789 | 63.9000015258789 | 63.5 | 62.7999992370605 | 61.7999992370605 | 61.0999984741211 | 60.4000015258789 | 60.5999984741211 | 60.2000007629395 | 60.0999984741211 | 60 | 60 | 59.9000015258789 | 59.7000007629395 | 60.0999984741211 | 60.4000015258789 | 61.2000007629395 | 60.0999984741211 | 58.9000015258789 | 55.9000015258789 | 57.4000015258789
Mongolia | MNG | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 62.5999984741211 | 63.7999992370605 | 64.9000015258789 | 65.5 | 65.5999984741211 | 65.5 | 65.5999984741211 | 65.5999984741211 | 65.5999984741211 | 65.5999984741211 | 65.6999969482422 | 65.6999969482422 | 65.4000015258789 | 64.9000015258789 | 65 | 65.1999969482422 | 65.4000015258789 | 65.8000030517578 | 64.4000015258789 | 67.5 | 67.5999984741211 | 68.1999969482422 | 68.8000030517578
Northern Mariana Islands | MNP | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
Mozambique | MOZ | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 80.5999984741211 | 80.5999984741211 | 80.4000015258789 | 80.5 | 80.5 | 80.4000015258789 | 80.4000015258789 | 80.4000015258789 | 81.5 | 82.1999969482422 | 82.6999969482422 | 83.0999984741211 | 83.3000030517578 | 83.4000015258789 | 83.4000015258789 | 83.3000030517578 | 83.3000030517578 | 83.1999969482422 | 83.0999984741211 | 83.0999984741211 | 83 | 82.9000015258789 | 82.9000015258789
Mauritania | MRT | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 77.5999984741211 | 77.5999984741211 | 77.5999984741211 | 77.6999969482422 | 77.5999984741211 | 77.8000030517578 | 77.9000015258789 | 77.8000030517578 | 77.9000015258789 | 78 | 78.0999984741211 | 78.0999984741211 | 78.1999969482422 | 78.3000030517578 | 78.4000015258789 | 78.5 | 78.9000015258789 | 78.8000030517578 | 78.8000030517578 | 78.8000030517578 | 78.9000015258789 | 79 | 79
[NAME] | MUS | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 81.1999969482422 | 81.4000015258789 | 81.4000015258789 | 81.3000030517578 | 81.1999969482422 | 81.1999969482422 | 80.9000015258789 | 80.5999984741211 | 80.3000030517578 | 80.0999984741211 | 79.9000015258789 | 79.6999969482422 | 79 | 78.3000030517578 | 77.5 | 76.8000030517578 | 76.1999969482422 | 76 | 75 | 74.6999969482422 | 74.5999984741211 | 74.4000015258789 | 74.3000030517578
[NAME] | MWI | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 79.5999984741211 | 79.5 | 79.4000015258789 | 79.1999969482422 | 79 | 78.9000015258789 | 78.8000030517578 | 78.9000015258789 | 79 | 80.0999984741211 | 81.1999969482422 | 82.3000030517578 | 83.4000015258789 | 84.4000015258789 | 85.4000015258789 | 86.3000030517578 | 84.1999969482422 | 81.5999984741211 | 81.0999984741211 | 81.0999984741211 | 81.1999969482422 | 81.1999969482422 | 81.3000030517578
Malaysia | MYS | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 79.8000030517578 | 80 | 80.1999969482422 | 80.3000030517578 | 80.3000030517578 | 80.4000015258789 | 80.5 | 80.5999984741211 | 80.8000030517578 | 80.4000015258789 | 80.5 | 80 | 79.5 | 78.9000015258789 | 78.3000030517578 | 77.5999984741211 | 77 | 76.3000030517578 | 75.6999969482422 | 75.0999984741211 | 75 | 75.0999984741211 | 75.3000030517578
North America | NAC | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 75.46199787303783 | 74.7310047234248 | 74.59680309247015 | 74.18674402312223 | 73.98701853296343 | 73.91568150818247 | 73.88500389059756 | 73.97486465283734 | 73.97522193469113 | 73.90619518516593 | 73.81654433307357 | 73.34690468834663 | 72.97956856674966 | 72.39216994628505 | 72.19234696714996 | 72.06168404653181 | 72.1999969482422 | 71.95148703379354 | 71.80322598362534 | 70.81391599138607 | 69.97654124535111 | 69.50808032121662 | 69.4982791899786
Namibia | NAM | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 64.5 | 64.5 | 64.5 | 64.1999969482422 | 64.4000015258789 | 63.5999984741211 | 63 | 62.5999984741211 | 63.2999992370605 | 64 | 64.5 | 65.3000030517578 | 66 | 66.5999984741211 | 67.1999969482422 | 67.6999969482422 | 68.1999969482422 | 68.5999984741211 | 69.0999984741211 | 67.6999969482422 | 66.3000030517578 | 64.8000030517578 | 63.2000007629395
New Caledonia | NCL | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 72.4000015258789 | 72.3000030517578 | 72.1999969482422 | 72.0999984741211 | 71.9000015258789 | 71.5999984741211 | 71.0999984741211 | 71.0999984741211 | 70.9000015258789 | 70.6999969482422 | 70.5999984741211 | 70.5999984741211 | 70.5999984741211 | 70.5 | 70.3000030517578 | 69.9000015258789 | 69.4000015258789 | 68.6999969482422 | 68.0999984741211 | 67.6999969482422 | 67.3000030517578 | 67.1999969482422 | 67.1999969482422
[NAME] | NER | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 92.3000030517578 | 92 | 91.5 | 91 | 90.5999984741211 | 90.1999969482422 | 89.8000030517578 | 89.5 | 89.1999969482422 | 88.9000015258789 | 88.5 | 88 | 88.9000015258789 | 89.5999984741211 | 90.1999969482422 | 90.6999969482422 | 90.5 | 90.4000015258789 | 90.3000030517578 | 90.1999969482422 | 90.0999984741211 | 89.9000015258789 | 89.8000030517578
Nigeria | NGA | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 74.8000030517578 | 74.1999969482422 | 73.5999984741211 | 73 | 72.3000030517578 | 71.5 | 70.8000030517578 | 69.9000015258789 | 69 | 68 | 67 | 65.8000030517578 | 64.5999984741211 | 63.2999992370605 | 61.9000015258789 | 62.0999984741211 | 62.2999992370605 | 62.5 | 62.7000007629395 | 63 | 63.2000007629395 | 63.2999992370605 | 63.5
Nicaragua | NIC | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 83.0999984741211 | 83.4000015258789 | 83.8000030517578 | 84.0999984741211 | 84.4000015258789 | 84.6999969482422 | 84.3000030517578 | 83.8000030517578 | 83.4000015258789 | 82.9000015258789 | 82.5 | 82.0999984741211 | 81.6999969482422 | 81.3000030517578 | 80.9000015258789 | 80.5 | 80 | 80 | 79.9000015258789 | 79.9000015258789 | 80 | 80 | 80.0999984741211
Netherlands | NLD | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 70.1999969482422 | 70.3000030517578 | 69.6999969482422 | 69.6999969482422 | 70 | 70 | 70.0999984741211 | 71.3000030517578 | 71.9000015258789 | 71.9000015258789 | 72.9000015258789 | 73.3000030517578 | 73.8000030517578 | 73.0999984741211 | 73 | 72.5 | 72.6999969482422 | 73.0999984741211 | 73.4000015258789 | 73.1999969482422 | 71.3000030517578 | 70.5 | 70.9000015258789
High income: nonOECD | NOC | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 76.63098619919202 | 76.04407098481855 | 75.36761338431648 | 73.7913058768415 | 72.06009732955616 | 71.82612254265376 | 70.66241921867835 | 69.05717479649144 | 68.0174520935801 | 70.19089102868308 | 70.12729177578784 | 69.16956374616923 | 69.29351253126859 | 69.85176405284317 | 70.23638625362555 | 70.54992196653626 | 70.78952476296855 | 71.86707387445888 | 72.54393157897276 | 72.66344902395083 | 72.84635728489307 | 73.30591584940338 | 73.6092471434905
Norway | NOR | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 71.3000030517578 | 69.3000030517578 | 69.1999969482422 | 68.5 | 68.9000015258789 | 69.4000015258789 | 70.8000030517578 | 72 | 72.6999969482422 | 72.1999969482422 | 72.1999969482422 | 71.8000030517578 | 71.6999969482422 | 70.8000030517578 | 70.5999984741211 | 70.5 | 70.4000015258789 | 70.8000030517578 | 71.8000030517578 | 70.5 | 70 | 69.4000015258789 | 69.5
Nepal | NPL | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 90.4000015258789 | 90.5 | 90.5 | 90.5 | 90.5 | 90.5 | 90.5 | 90.5 | 90.5999984741211 | 90.5999984741211 | 90.3000030517578 | 90.0999984741211 | 89.8000030517578 | 89.5999984741211 | 89.3000030517578 | 89 | 88.6999969482422 | 88.3000030517578 | 87.9000015258789 | 87.6999969482422 | 87.5999984741211 | 87.4000015258789 | 87.3000030517578
New Zealand | NZL | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 74.3000030517578 | 73.6999969482422 | 73.0999984741211 | 73 | 73.5 | 73.9000015258789 | 74.1999969482422 | 73.9000015258789 | 73.1999969482422 | 73.0999984741211 | 73.3000030517578 | 73.6999969482422 | 74.4000015258789 | 73.5999984741211 | 74.3000030517578 | 74.8000030517578 | 75.4000015258789 | 75.5 | 75 | 74.4000015258789 | 74.1999969482422 | 74.4000015258789 | 73.9000015258789
High income: OECD | OEC | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 72.76085500602267 | 72.66385572545619 | 72.22136325807752 | 71.83410177189998 | 71.53002200703045 | 71.30456523624314 | 71.23086527056229 | 71.17129158169077 | 71.05093621150897 | 70.78219653065035 | 70.64005065404143 | 70.19813662217341 | 69.95784982834155 | 69.60035607491251 | 69.48827164842977 | 69.44423219701476 | 69.4925287441213 | 69.42661980255524 | 69.35903178742151 | 68.75784206562147 | 68.2981208118109 | 67.98698455550779 | 67.98982413200638
OECD members | OED | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 73.73977895189927 | 73.66987496643574 | 73.29722512918632 | 72.901552204503 | 72.58309685743593 | 72.26568644404324 | 72.20051185522341 | 72.16762164289959 | 72.06387389066039 | 71.75587465801512 | 71.4854740737493 | 71.02297320047586 | 70.7216670489978 | 70.31315841643881 | 70.30017249217933 | 70.25057139036892 | 70.3238858932105 | 70.24837771019956 | 70.21402307938305 | 69.62217638329777 | 69.31431668467316 | 69.01974427309572 | 69.05851064802947
Oman | OMN | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 80.9000015258789 | 81.1999969482422 | 81.5 | 81.6999969482422 | 81.8000030517578 | 81.5999984741211 | 81.1999969482422 | 80.4000015258789 | 79.5999984741211 | 78.9000015258789 | 77.9000015258789 | 77 | 76.5 | 76.4000015258789 | 76.4000015258789 | 76.5 | 76.8000030517578 | 77.1999969482422 | 77.6999969482422 | 78.6999969482422 | 79.8000030517578 | 80.9000015258789 | 81.8000030517578
Other small states | OSS | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 76.80346334450735 | 76.78442042750395 | 76.79899853892461 | 76.77298733683868 | 76.70214523765603 | 76.46200011330701 | 76.1444576963091 | 75.85507986411885 | 75.65327303259895 | 75.53202916918266 | 75.28708682912101 | 75.29116673386105 | 75.05746711708098 | 74.84905861168622 | 74.61803187653489 | 74.3979246092418 | 74.22408378006186 | 74.04857762539679 | 73.85020153580491 | 73.52819434517711 | 73.26091809657008 | 73.02823342399404 | 72.99181826406749
Pakistan | PAK | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 84.5999984741211 | 84.3000030517578 | 84.3000030517578 | 83 | 83.3000030517578 | 83.0999984741211 | 83.3000030517578 | 83.4000015258789 | 83.0999984741211 | 83.5 | 83.6999969482422 | 83.5 | 83.3000030517578 | 83.4000015258789 | 83.5 | 84.0999984741211 | 84.6999969482422 | 83.8000030517578 | 83.3000030517578 | 83.0999984741211 | 82.8000030517578 | 82.9000015258789 | 82.9000015258789
Panama | PAN | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 79.3000030517578 | 78.5999984741211 | 80 | 81.1999969482422 | 81 | 81.8000030517578 | 81.5 | 81.0999984741211 | 82.6999969482422 | 81.9000015258789 | 81.5999984741211 | 81.1999969482422 | 80.6999969482422 | 80.6999969482422 | 81.4000015258789 | 81.1999969482422 | 80.6999969482422 | 80.9000015258789 | 82.9000015258789 | 82.5 | 82 | 81.9000015258789 | 81.9000015258789
Peru | PER | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 77.5999984741211 | 76.6999969482422 | 78.0999984741211 | 79.3000030517578 | 80.4000015258789 | 80.9000015258789 | 81.6999969482422 | 82.4000015258789 | 83.5999984741211 | 83.4000015258789 | 82.8000030517578 | 83.9000015258789 | 81.5999984741211 | 79.3000030517578 | 79.3000030517578 | 79.1999969482422 | 81.5 | 84 | 84.9000015258789 | 84.4000015258789 | 84.4000015258789 | 84.4000015258789 | 84.4000015258789
Philippines | PHL | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 82.8000030517578 | 83.1999969482422 | 83.4000015258789 | 82.9000015258789 | 83 | 83.5999984741211 | 83.8000030517578 | 83.4000015258789 | 84 | 83 | 81.8000030517578 | 83.1999969482422 | 81.9000015258789 | 83.5 | 83.0999984741211 | 80 | 79.3000030517578 | 78.4000015258789 | 79.0999984741211 | 79.3000030517578 | 79.3000030517578 | 79.8000030517578 | 79.6999969482422
Palau | PLW | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
[NAME] | PNG | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 73.9000015258789 | 73.3000030517578 | 72.4000015258789 | 71.1999969482422 | 71 | 71.5999984741211 | 71.3000030517578 | 72 | 72.8000030517578 | 72.9000015258789 | 73.5 | 73.8000030517578 | 74 | 74.1999969482422 | 74.3000030517578 | 74.4000015258789 | 74.5 | 74.4000015258789 | 74.3000030517578 | 74.1999969482422 | 74.0999984741211 | 74.0999984741211 | 74
Poland | POL | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 72.0999984741211 | 70.9000015258789 | 69.8000030517578 | 69.0999984741211 | 67.5999984741211 | 66.5 | 65.6999969482422 | 65.3000030517578 | 64.6999969482422 | 63.2999992370605 | 63.5 | 63.2000007629395 | 62.2999992370605 | 62 | 62.0999984741211 | 62.5 | 62.2000007629395 | 62.2000007629395 | 63 | 63.7999992370605 | 64.3000030517578 | 64.5999984741211 | 64.8000030517578
Puerto Rico | PRI | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 60.2999992370605 | 61.5999984741211 | 60.7999992370605 | 61.5999984741211 | 61 | 60.2999992370605 | 61.5999984741211 | 62.4000015258789 | 62.4000015258789 | 60.4000015258789 | 59.5 | 59.5999984741211 | 59.7000007629395 | 60.0999984741211 | 60.2999992370605 | 61 | 59.7000007629395 | 58.5999984741211 | 56.9000015258789 | 56.7999992370605 | 53.7000007629395 | 52 | 51.7000007629395
Korea, Dem. Rep. | PRK | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 87.9000015258789 | 88.0999984741211 | 88.1999969482422 | 88.4000015258789 | 88.5 | 88.5999984741211 | 88.5999984741211 | 88.5 | 88.5 | 88.3000030517578 | 88 | 87.8000030517578 | 87.4000015258789 | 87.0999984741211 | 86.5 | 86.0999984741211 | 85.5999984741211 | 85.0999984741211 | 84.6999969482422 | 84.6999969482422 | 84.3000030517578 | 84.3000030517578 | 84.1999969482422
Portugal | PRT | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 72.3000030517578 | 72.1999969482422 | 69.9000015258789 | 68.9000015258789 | 68.6999969482422 | 67.8000030517578 | 68 | 68.5 | 69.5999984741211 | 69.4000015258789 | 69.6999969482422 | 70.1999969482422 | 70.4000015258789 | 69.9000015258789 | 69.5 | 69.3000030517578 | 69.5999984741211 | 69.5 | 69.4000015258789 | 68.1999969482422 | 67.9000015258789 | 68 | 67.1999969482422
Paraguay | PRY | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 90.9000015258789 | 90.9000015258789 | 90.9000015258789 | 90.9000015258789 | 90.9000015258789 | 90.9000015258789 | 89.9000015258789 | 88.6999969482422 | 87.3000030517578 | 87.3000030517578 | 86.6999969482422 | 86.0999984741211 | 86 | 85.9000015258789 | 85.8000030517578 | 85.6999969482422 | 85.5999984741211 | 85.5 | 85.9000015258789 | 86.4000015258789 | 84.6999969482422 | 84.8000030517578 | 84.8000030517578
Pacific island small states | PSS | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 81.29473116959913 | 80.99785653540192 | 80.55355846328187 | 80.16104769294147 | 79.75093320621585 | 79.24707091991671 | 78.7889893976926 | 78.3436168991795 | 77.882143349647 | 77.41674042204875 | 77.07886055708141 | 76.77931714030086 | 76.50123424425074 | 76.28035082719725 | 75.97533121716921 | 75.57455617994171 | 75.06025996843752 | 74.45490309199943 | 74.24681925577035 | 74.04655473243702 | 73.88930319358094 | 73.69630308869426 | 73.65922830211525
French Polynesia | PYF | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 72.8000030517578 | 72.1999969482422 | 71.6999969482422 | 71.0999984741211 | 70.5999984741211 | 70.0999984741211 | 69.5 | 69.5999984741211 | 69.5 | 69.4000015258789 | 69.0999984741211 | 68.6999969482422 | 68.1999969482422 | 67.3000030517578 | 66.5 | 65.8000030517578 | 65.0999984741211 | 64.5 | 64.1999969482422 | 64.1999969482422 | 64 | 64.0999984741211 | 64.0999984741211
Qatar | QAT | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 94.0999984741211 | 94.4000015258789 | 94.5999984741211 | 95 | 95.1999969482422 | 95.1999969482422 | 94.6999969482422 | 93.5999984741211 | 92.8000030517578 | 92.3000030517578 | 91.9000015258789 | 91.9000015258789 | 92.1999969482422 | 92.8000030517578 | 93.3000030517578 | 94.0999984741211 | 94.6999969482422 | 95 | 95.3000030517578 | 95.5999984741211 | 95.5999984741211 | 95.5999984741211 | 95.5999984741211
Romania | [NAME] | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 66.8000030517578 | 67.5999984741211 | 67.9000015258789 | 68.4000015258789 | 69.0999984741211 | 70.1999969482422 | 71.5 | 73.0999984741211 | 72.4000015258789 | 72.1999969482422 | 71.5999984741211 | 70.0999984741211 | 64.8000030517578 | 64.5999984741211 | 64 | 62.5 | 63.5999984741211 | 63.7999992370605 | 64.0999984741211 | 64.0999984741211 | 64.5 | 63.7000007629395 | 64.6999969482422
Russian Federation | RUS | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 76.3000030517578 | 75.5 | 74.5999984741211 | 72.5 | 70.1999969482422 | 69.9000015258789 | 68.4000015258789 | 66.4000015258789 | 65.1999969482422 | 68.5999984741211 | 68.4000015258789 | 67.0999984741211 | 67.3000030517578 | 68 | 68.4000015258789 | 68.6999969482422 | 68.8000030517578 | 70 | 70.8000030517578 | 70.6999969482422 | 70.8000030517578 | 71.1999969482422 | 71.4000015258789
Rwanda | RWA | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 89 | 88.9000015258789 | 88.8000030517578 | 88.6999969482422 | 88.5 | 88.3000030517578 | 88 | 87.3000030517578 | 86.5999984741211 | 85.8000030517578 | 85 | 84.1999969482422 | 84 | 83.8000030517578 | 83.8000030517578 | 83.9000015258789 | 84.0999984741211 | 84.5 | 85 | 85.3000030517578 | 85.5999984741211 | 85.5999984741211 | 85.5
South Asia | SAS | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 85.3075214027966 | 85.07989730517065 | 84.89430441366818 | 84.61210983771318 | 84.37563632239541 | 84.15711752659196 | 84.00675546928383 | 83.76801950393455 | 83.58453236432071 | 83.37454022027958 | 83.18033537893744 | 83.21818516783091 | 83.2519267910923 | 83.31496584875947 | 83.35799187739691 | 83.48416571335511 | 83.14836779553299 | 82.6521438228983 | 82.19525471891404 | 81.77352831636796 | 81.34320170333719 | 81.34043256095354 | 81.41597533877014
Saudi Arabia | SAU | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 80.4000015258789 | 80.0999984741211 | 80.3000030517578 | 79.6999969482422 | 79 | 78.1999969482422 | 77 | 75.5999984741211 | 74 | 72.5 | 74.1999969482422 | 73.8000030517578 | 73.8000030517578 | 74 | 74.0999984741211 | 74.0999984741211 | 74 | 74.5999984741211 | 74.8000030517578 | 74.8000030517578 | 75.0999984741211 | 75.4000015258789 | 75.5
[NAME] | SCE | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
Sudan | SDN | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 78.0999984741211 | 77 | 75.8000030517578 | 74.5 | 75.0999984741211 | 75.0999984741211 | 74.8000030517578 | 74.8000030517578 | 74.9000015258789 | 75 | 75.0999984741211 | 75.1999969482422 | 75.4000015258789 | 75.5 | 75.5999984741211 | 75.6999969482422 | 75.8000030517578 | 75.8000030517578 | 75.9000015258789 | 75.9000015258789 | 76 | 76 | 76
Senegal | SEN | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 89.1999969482422 | 89.0999984741211 | 88.9000015258789 | 88.6999969482422 | 88.5999984741211 | 88.5 | 88.3000030517578 | 88.1999969482422 | 88.1999969482422 | 88.1999969482422 | 88.0999984741211 | 88 | 87.9000015258789 | 87.9000015258789 | 87.9000015258789 | 87.9000015258789 | 87.9000015258789 | 87.9000015258789 | 87.9000015258789 | 87.9000015258789 | 87.9000015258789 | 87.9000015258789 | 88
Singapore | SGP | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 79.3000030517578 | 80.5999984741211 | 80.5999984741211 | 80.3000030517578 | 80.5 | 78.9000015258789 | 80 | 79.1999969482422 | 78.5 | 78.5999984741211 | 78.4000015258789 | 78 | 77.1999969482422 | 76.5999984741211 | 76.0999984741211 | 76.6999969482422 | 77.4000015258789 | 77.6999969482422 | 77.3000030517578 | 77.6999969482422 | 77.5 | 77.3000030517578 | 77.5
Solomon Islands | SLB | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 77.0999984741211 | 77.0999984741211 | 77 | 77.0999984741211 | 77.1999969482422 | 77.3000030517578 | 77.5 | 77.8000030517578 | 78.0999984741211 | 78.3000030517578 | 78.5999984741211 | 78.8000030517578 | 78.9000015258789 | 79 | 79 | 79.0999984741211 | 79.1999969482422 | 79.1999969482422 | 79.3000030517578 | 79.3000030517578 | 79.3000030517578 | 79.3000030517578 | 79.0999984741211
Sierra Leone | SLE | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 66.0999984741211 | 66 | 64.8000030517578 | 64.5999984741211 | 64.4000015258789 | 63.7999992370605 | 63.9000015258789 | 62.7000007629395 | 62.5999984741211 | 62 | 62.0999984741211 | 63 | 64.3000030517578 | 64.8000030517578 | 66.5999984741211 | 67 | 67.3000030517578 | 67.6999969482422 | 68 | 68.3000030517578 | 68.5999984741211 | 68.8000030517578 | 68.9000015258789
El Salvador | SLV | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 83.0999984741211 | 83.0999984741211 | 83.0999984741211 | 82.9000015258789 | 83.0999984741211 | 83 | 81.1999969482422 | 80.6999969482422 | 80.8000030517578 | 79.5999984741211 | 78.6999969482422 | 77.6999969482422 | 76.6999969482422 | 78.4000015258789 | 77.4000015258789 | 77.6999969482422 | 77.9000015258789 | 78.5999984741211 | 79.4000015258789 | 79.3000030517578 | 79.1999969482422 | 79.0999984741211 | 79
[NAME] | SMR | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
Somalia | SOM | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 78.1999969482422 | 78.0999984741211 | 78.0999984741211 | 78 | 77.9000015258789 | 77.8000030517578 | 77.6999969482422 | 77.5999984741211 | 77.5 | 77.4000015258789 | 77.1999969482422 | 77.0999984741211 | 77 | 76.8000030517578 | 76.6999969482422 | 76.5 | 76.4000015258789 | 76.1999969482422 | 76.0999984741211 | 75.9000015258789 | 75.8000030517578 | 75.6999969482422 | 75.5999984741211
Serbia | SRB | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 67.3000030517578 | 67.8000030517578 | 67.4000015258789 | 66.9000015258789 | 66.5 | 66.1999969482422 | 65.8000030517578 | 65.5999984741211 | 65.3000030517578 | 65.0999984741211 | 64.9000015258789 | 64.6999969482422 | 64.5999984741211 | 64.4000015258789 | 64.3000030517578 | 64.1999969482422 | 64.0999984741211 | 63.7999992370605 | 63.5 | 61.4000015258789 | 60.4000015258789 | 60.5999984741211 | 60.7999992370605
Sub-Saharan Africa (developing only) | SSA | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 79.8771620572293 | 79.58083374983143 | 79.25656639750237 | 78.94907633329323 | 78.71528026099979 | 78.4709232759426 | 78.22479298252506 | 77.92519740477925 | 77.64090994379856 | 77.38414395225008 | 77.189456899523 | 76.93251478742397 | 76.73944049688946 | 76.37966816011188 | 75.98525433500423 | 76.06871689892048 | 76.1292459216116 | 76.13975161896451 | 76.3613213063063 | 76.31540619518033 | 76.30668782380452 | 76.31245594379666 | 76.43613891462115
South Sudan | SSD | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
Sub-Saharan Africa (all income levels) | SSF | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 79.88761865901573 | 79.59186523075353 | 79.26809739986558 | 78.96109362355124 | 78.72756052645532 | 78.48349728091897 | 78.23760528706893 | 77.93832575741281 | 77.65420819288337 | 77.39770843851217 | 77.20309821294465 | 76.94640912185557 | 76.75347548158169 | 76.39409558330856 | 76.0000109759701 | 76.08344415539158 | 76.14393452464505 | 76.1544215292953 | 76.37585010838153 | 76.33002277163463 | 76.32134778114168 | 76.3271360837705 | 76.45071981412065
Small states | SST | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 77.9637325244774 | 77.15921103276162 | 77.33437147846028 | 77.4242831822715 | 77.35552336799321 | 77.18081276005417 | 76.81604378388616 | 76.53106242931774 | 76.26713105355884 | 76.08172121973837 | 75.87669379095114 | 75.797559926566 | 75.54564760642967 | 75.3691047565959 | 75.20011041559104 | 75.04127018393758 | 74.84199946805987 | 74.71808280447954 | 74.49752994288212 | 74.02250827669774 | 73.6473863129418 | 73.43893758836991 | 73.39281968749066
Sao Tome and Principe | STP | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 76.4000015258789 | 76.0999984741211 | 76.0999984741211 | 76.1999969482422 | 76.0999984741211 | 75.8000030517578 | 75.3000030517578 | 74.6999969482422 | 74.0999984741211 | 73.5999984741211 | 73.3000030517578 | 73.4000015258789 | 73.5999984741211 | 74 | 74.5 | 74.9000015258789 | 75.3000030517578 | 75.6999969482422 | 76.0999984741211 | 76.4000015258789 | 76.6999969482422 | 77.0999984741211 | 77.5
Suriname | SUR | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 71.8000030517578 | 70.4000015258789 | 69.0999984741211 | 68.9000015258789 | 67 | 67.1999969482422 | 67.4000015258789 | 67.3000030517578 | 66.9000015258789 | 66.1999969482422 | 66.3000030517578 | 66.4000015258789 | 66.5999984741211 | 66.8000030517578 | 67.0999984741211 | 67.3000030517578 | 67.5999984741211 | 68 | 68.3000030517578 | 68.5 | 68.6999969482422 | 68.8000030517578 | 68.8000030517578
Slovak Republic | SVK | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 72.0999984741211 | 73 | 71.4000015258789 | 69.9000015258789 | 69.1999969482422 | 68.9000015258789 | 68.6999969482422 | 68.0999984741211 | 68.1999969482422 | 68.1999969482422 | 68.0999984741211 | 68.8000030517578 | 68.4000015258789 | 68.6999969482422 | 68.5 | 68.4000015258789 | 68.1999969482422 | 67.8000030517578 | 68.4000015258789 | 68.1999969482422 | 67.9000015258789 | 68.3000030517578 | 68.6999969482422
Slovenia | SVN | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 59.9000015258789 | 59.9000015258789 | 59.7999992370605 | 59.4000015258789 | 65.9000015258789 | 66.3000030517578 | 64.5 | 64.6999969482422 | 66.0999984741211 | 65 | 64 | 64.5999984741211 | 64.3000030517578 | 63.5 | 66 | 66 | 65.6999969482422 | 66.5 | 65.6999969482422 | 65.6999969482422 | 65.5999984741211 | 64.0999984741211 | 63.5
Sweden | SWE | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 71.1999969482422 | 71 | 69.4000015258789 | 67.9000015258789 | 67.4000015258789 | 67.5999984741211 | 67.5 | 66.8000030517578 | 66.6999969482422 | 66.8000030517578 | 67.9000015258789 | 67.5 | 67.4000015258789 | 67.4000015258789 | 66.8000030517578 | 68.0999984741211 | 68.4000015258789 | 68.1999969482422 | 68.1999969482422 | 67.5999984741211 | 68.0999984741211 | 68.0999984741211 | 68.0999984741211
Swaziland | SWZ | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 73.6999969482422 | 73.5999984741211 | 73.5 | 73.5 | 73.4000015258789 | 73.1999969482422 | 73 | 72.6999969482422 | 72.3000030517578 | 72 | 71.6999969482422 | 71.5 | 71.3000030517578 | 71.0999984741211 | 70.9000015258789 | 70.8000030517578 | 70.6999969482422 | 70.5999984741211 | 70.5999984741211 | 70.5999984741211 | 70.6999969482422 | 70.9000015258789 | 71.3000030517578
Sint Maarten (Dutch part) | SXM | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
Seychelles | SYC | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
Syrian Arab Republic | SYR | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 81 | 81.1999969482422 | 81.4000015258789 | 81.5999984741211 | 81.8000030517578 | 82.0999984741211 | 81.8000030517578 | 81.5 | 81.1999969482422 | 80.8000030517578 | 80.5 | 79.8000030517578 | 79.0999984741211 | 78.0999984741211 | 77.0999984741211 | 76.0999984741211 | 75.4000015258789 | 74.6999969482422 | 74 | 72.5 | 72.6999969482422 | 72.8000030517578 | 72.6999969482422
Turks and Caicos Islands | TCA | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
Chad | TCD | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 80.6999969482422 | 80.6999969482422 | 80.6999969482422 | 80.1999969482422 | 80.0999984741211 | 80 | 79.9000015258789 | 79.8000030517578 | 79.8000030517578 | 79.6999969482422 | 79.5999984741211 | 79.5 | 79.5 | 79.4000015258789 | 79.4000015258789 | 79.4000015258789 | 79.3000030517578 | 79.3000030517578 | 79.3000030517578 | 79.1999969482422 | 79.1999969482422 | 79.1999969482422 | 79.1999969482422
Togo | TGO | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 84.5 | 84.1999969482422 | 83.9000015258789 | 83.5 | 83.1999969482422 | 82.9000015258789 | 82.5999984741211 | 82.3000030517578 | 82 | 81.8000030517578 | 81.5 | 81.3000030517578 | 81 | 80.8000030517578 | 80.5999984741211 | 80.4000015258789 | 80.1999969482422 | 80.4000015258789 | 80.5999984741211 | 80.8000030517578 | 81 | 81.0999984741211 | 81.1999969482422
Thailand | THA | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 87.3000030517578 | 86.3000030517578 | 85.3000030517578 | 84.3000030517578 | 83.3000030517578 | 82.6999969482422 | 82.1999969482422 | 81.9000015258789 | 81.4000015258789 | 80.3000030517578 | 80.6999969482422 | 81.4000015258789 | 81.1999969482422 | 80.9000015258789 | 81.5999984741211 | 81.1999969482422 | 81 | 81.5999984741211 | 81.5 | 81.4000015258789 | 80.9000015258789 | 80.9000015258789 | 80.8000030517578
Tajikistan | TJK | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 75.5999984741211 | 75.6999969482422 | 75.6999969482422 | 75.6999969482422 | 75.6999969482422 | 75.5999984741211 | 75.5 | 75.4000015258789 | 75.1999969482422 | 75.0999984741211 | 74.9000015258789 | 74.8000030517578 | 74.6999969482422 | 74.5999984741211 | 74.5999984741211 | 74.6999969482422 | 74.9000015258789 | 75.1999969482422 | 75.5999984741211 | 76 | 76.3000030517578 | 76.5999984741211 | 76.9000015258789
Turkmenistan | TKM | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 74.8000030517578 | 74.8000030517578 | 74.8000030517578 | 74.5999984741211 | 74 | 73.6999969482422 | 73.4000015258789 | 72.8000030517578 | 73 | 73.5 | 74 | 74.3000030517578 | 74.5 | 74.5999984741211 | 74.6999969482422 | 74.8000030517578 | 74.9000015258789 | 75.0999984741211 | 75.1999969482422 | 75.5 | 75.6999969482422 | 76.0999984741211 | 76.5
Timor-Leste | TLS | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 80 | 80 | 80.1999969482422 | 80.4000015258789 | 80.1999969482422 | 79.8000030517578 | 79 | 78.0999984741211 | 77.5999984741211 | 76.1999969482422 | 74 | 75.5 | 73.0999984741211 | 70.9000015258789 | 68.5 | 65.9000015258789 | 63.2000007629395 | 60.2999992370605 | 57.5 | 54.5999984741211 | 51.7999992370605 | 51.5 | 51.0999984741211
Tonga | TON | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 75.5 | 75.3000030517578 | 75.1999969482422 | 75.1999969482422 | 75.0999984741211 | 75 | 74.8000030517578 | 74.4000015258789 | 73.8000030517578 | 73.4000015258789 | 73.3000030517578 | 73.3000030517578 | 73.6999969482422 | 74.1999969482422 | 74.6999969482422 | 75.1999969482422 | 75.4000015258789 | 75.5999984741211 | 75.4000015258789 | 75.4000015258789 | 75.1999969482422 | 75 | 74.8000030517578
Trinidad and Tobago | TTO | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 76.3000030517578 | 66.5999984741211 | 70.8000030517578 | 73.6999969482422 | 75.0999984741211 | 75.9000015258789 | 75.5 | 75.9000015258789 | 76.1999969482422 | 76.0999984741211 | 76.3000030517578 | 75.8000030517578 | 75.3000030517578 | 75.5999984741211 | 75.9000015258789 | 76.1999969482422 | 75.9000015258789 | 76.6999969482422 | 75.8000030517578 | 75.6999969482422 | 75.4000015258789 | 75.5 | 75.5
Tunisia | TUN | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 76.3000030517578 | 76 | 75.5999984741211 | 75.1999969482422 | 74.6999969482422 | 74.3000030517578 | 74 | 73.5999984741211 | 73 | 72.4000015258789 | 71.8000030517578 | 71.0999984741211 | 70.5 | 69.8000030517578 | 69.0999984741211 | 68.4000015258789 | 68.8000030517578 | 69 | 69.4000015258789 | 69.8000030517578 | 70.0999984741211 | 70.4000015258789 | 70.5999984741211
Turkey | TUR | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 80.8000030517578 | 80.0999984741211 | 79.5999984741211 | 77.9000015258789 | 78.3000030517578 | 77.4000015258789 | 76.9000015258789 | 76.0999984741211 | 76 | 75 | 72.6999969482422 | 71.6999969482422 | 70.3000030517578 | 69 | 70 | 70.3000030517578 | 69.5999984741211 | 69.5 | 70 | 70.5 | 70.6999969482422 | 71.5 | 70.8000030517578
Tuvalu | TUV | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS
Tanzania | TZA | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 91.4000015258789 | 91.3000030517578 | 91.1999969482422 | 91.0999984741211 | 91 | 91 | 90.9000015258789 | 90.9000015258789 | 90.8000030517578 | 90.8000030517578 | 90.8000030517578 | 90.8000030517578 | 90.8000030517578 | 90.8000030517578 | 90.6999969482422 | 90.5 | 90.3000030517578 | 90.3000030517578 | 90.3000030517578 | 90.3000030517578 | 90.3000030517578 | 90.3000030517578 | 90.1999969482422
Uganda | UGA | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 81.9000015258789 | 81.9000015258789 | 82 | 82.0999984741211 | 82.0999984741211 | 82.3000030517578 | 82.4000015258789 | 82.4000015258789 | 82.4000015258789 | 82.5999984741211 | 82.5999984741211 | 82.5999984741211 | 82.6999969482422 | 82 | 81.1999969482422 | 80 | 79.9000015258789 | 79.6999969482422 | 79.5999984741211 | 79.5 | 79.4000015258789 | 79.3000030517578 | 79.3000030517578
Ukraine | UKR | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 70.6999969482422 | 70.3000030517578 | 69.9000015258789 | 69.5999984741211 | 69.3000030517578 | 68.8000030517578 | 68.1999969482422 | 67.5 | 66.6999969482422 | 65.9000015258789 | 65.0999984741211 | 64.4000015258789 | 64 | 63.7999992370605 | 63.7999992370605 | 65.3000030517578 | 65.4000015258789 | 65.5 | 65.6999969482422 | 65.8000030517578 | 66.0999984741211 | 66.4000015258789 | 66.5999984741211
Upper middle income | UMC | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 82.72897517057363 | 82.70983664560862 | 82.67115755422631 | 82.52787927263438 | 82.42063700685978 | 82.22734923416962 | 81.91370509874145 | 81.79289074022789 | 81.5221467963531 | 81.13334913213956 | 80.64296691813003 | 80.12555680570907 | 79.54906418687628 | 78.87973906064559 | 78.5088378630554 | 78.06954880806373 | 77.70083369324314 | 77.37573746135324 | 77.19574898381055 | 76.85812844589475 | 76.68878209908202 | 76.7962768007057 | 77.03526069142855
Uruguay | URY | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 77.5 | 77.5999984741211 | 77.5999984741211 | 76.5999984741211 | 77.4000015258789 | 78.0999984741211 | 77.5 | 76.9000015258789 | 76.4000015258789 | 76.0999984741211 | 75.8000030517578 | 76.5999984741211 | 75.3000030517578 | 74 | 74.0999984741211 | 74.0999984741211 | 76.9000015258789 | 76.5 | 76.6999969482422 | 76.9000015258789 | 76.6999969482422 | 76.6999969482422 | 76.8000030517578
United States | USA | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 75.4000015258789 | 74.6999969482422 | 74.6999969482422 | 74.3000030517578 | 74.0999984741211 | 74.0999984741211 | 74.0999984741211 | 74.1999969482422 | 74.1999969482422 | 74.0999984741211 | 74 | 73.5 | 73 | 72.3000030517578 | 72.0999984741211 | 72 | 72.1999969482422 | 71.9000015258789 | 71.6999969482422 | 70.6999969482422 | 69.8000030517578 | 69.3000030517578 | 69.3000030517578
Uzbekistan | UZB | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 73.3000030517578 | 73.1999969482422 | 72.5999984741211 | 72.4000015258789 | 71.9000015258789 | 71.8000030517578 | 71.6999969482422 | 71.9000015258789 | 72 | 72.0999984741211 | 72.1999969482422 | 72.1999969482422 | 72.1999969482422 | 72.1999969482422 | 72.4000015258789 | 72.5999984741211 | 72.9000015258789 | 73.3000030517578 | 73.6999969482422 | 74.0999984741211 | 74.5 | 74.8000030517578 | 75.1999969482422
St. Vincent and the Grenadines | VCT | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 80.8000030517578 | 80.9000015258789 | 80.4000015258789 | 80.5 | 80.6999969482422 | 80.6999969482422 | 80.6999969482422 | 79.9000015258789 | 79.5999984741211 | 79.5 | 79.5 | 79.5 | 79.4000015258789 | 79.4000015258789 | 79.0999984741211 | 79.0999984741211 | 78.6999969482422 | 78.3000030517578 | 78.3000030517578 | 78.4000015258789 | 78.5 | 78.4000015258789 | 78.1999969482422
Venezuela, RB | VEN | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 80.8000030517578 | 81.5 | 81 | 79.6999969482422 | 81 | 82.0999984741211 | 82.5 | 82.6999969482422 | 83.1999969482422 | 83.5 | 82.3000030517578 | 82.5999984741211 | 83.5999984741211 | 82.9000015258789 | 82.1999969482422 | 81.5 | 80.8000030517578 | 80 | 80 | 79.4000015258789 | 79.3000030517578 | 79.3000030517578 | 79.1999969482422
Virgin Islands (U.S.) | VIR | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 79.5 | 79.6999969482422 | 79.8000030517578 | 80 | 80 | 80 | 79.8000030517578 | 79.5 | 79.1999969482422 | 78.8000030517578 | 77.3000030517578 | 77.0999984741211 | 76.9000015258789 | 76.6999969482422 | 76.4000015258789 | 76.0999984741211 | 75.6999969482422 | 75.3000030517578 | 74.8000030517578 | 74.4000015258789 | 73.9000015258789 | 73.3000030517578 | 72.8000030517578
Vietnam | VNM | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 84.5999984741211 | 84.5 | 84.4000015258789 | 84.1999969482422 | 84 | 83.8000030517578 | 83.5 | 83.3000030517578 | 83.0999984741211 | 83 | 82.8000030517578 | 82.5999984741211 | 82.5 | 82.3000030517578 | 82.0999984741211 | 81.9000015258789 | 81.6999969482422 | 81.4000015258789 | 81.3000030517578 | 81.1999969482422 | 81.3000030517578 | 81.5999984741211 | 81.9000015258789
[NAME] | VUT | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 88.0999984741211 | 87.8000030517578 | 87.4000015258789 | 87 | 86.5999984741211 | 86.1999969482422 | 85.6999969482422 | 85.3000030517578 | 84.8000030517578 | 84.3000030517578 | 83.8000030517578 | 83.4000015258789 | 82.9000015258789 | 82.5 | 82.0999984741211 | 81.6999969482422 | 81.4000015258789 | 81.0999984741211 | 80.9000015258789 | 80.5 | 80.5999984741211 | 80.5 | 80.3000030517578
West Bank and Gaza | PSE | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 67.6999969482422 | 68 | 67.3000030517578 | 67 | 66.9000015258789 | 66.8000030517578 | 66.9000015258789 | 66.4000015258789 | 65.9000015258789 | 64.3000030517578 | 65.1999969482422 | 67 | 65.5999984741211 | 66.3000030517578 | 66.9000015258789 | 67.1999969482422 | 67.4000015258789 | 68.3000030517578 | 69.1999969482422 | 66.5999984741211 | 66.1999969482422 | 66.1999969482422 | 66.3000030517578
World | WLD | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 80.56103971234977 | 80.46598957395835 | 80.27966085081943 | 80.04951887296649 | 79.836982207092 | 79.70419714164304 | 79.52123884368226 | 79.29536291614754 | 79.02429524472731 | 78.98702742706074 | 78.70481199702125 | 78.39792357197784 | 78.13419722312454 | 77.8841795025798 | 77.75371847793562 | 77.62907661645414 | 77.40619750034507 | 77.19719226813982 | 77.05590095969283 | 76.78012159288787 | 76.57339778197351 | 76.61779300531212 | 76.76953867657254
Samoa | WSM | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 76.6999969482422 | 77.1999969482422 | 77 | 76.8000030517578 | 76.5 | 76.3000030517578 | 76 | 75.5999984741211 | 75.1999969482422 | 74.8000030517578 | 74.1999969482422 | 73.5 | 72.5999984741211 | 71.5999984741211 | 70.5 | 69.1999969482422 | 67.8000030517578 | 66.1999969482422 | 64.4000015258789 | 62.5 | 60.5 | 58.2999992370605 | 58.4000015258789
Yemen, Rep. | YEM | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 73.6999969482422 | 74.0999984741211 | 73.9000015258789 | 74.0999984741211 | 74.3000030517578 | 73.6999969482422 | 73.0999984741211 | 72.4000015258789 | 71.6999969482422 | 71.0999984741211 | 71 | 70.9000015258789 | 70.9000015258789 | 71 | 71 | 71 | 71 | 71.0999984741211 | 71.1999969482422 | 71.3000030517578 | 71.1999969482422 | 71.5 | 71.8000030517578
South Africa | ZAF | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 68.1999969482422 | 67.6999969482422 | 67.1999969482422 | 66.8000030517578 | 66.5 | 66.1999969482422 | 65.9000015258789 | 65.5 | 65 | 64.6999969482422 | 64.5 | 64.1999969482422 | 64.1999969482422 | 62.7999992370605 | 61.2000007629395 | 62.2000007629395 | 62.5999984741211 | 61.9000015258789 | 63.7000007629395 | 61.5999984741211 | 59.9000015258789 | 59.4000015258789 | 60
Congo, Dem. Rep. | COD | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 75.0999984741211 | 75 | 74.9000015258789 | 74.5999984741211 | 74.5 | 74.5 | 74.5 | 74.3000030517578 | 74.0999984741211 | 73.9000015258789 | 73.5999984741211 | 73.4000015258789 | 73.3000030517578 | 73.1999969482422 | 73.1999969482422 | 73.0999984741211 | 73.0999984741211 | 73.0999984741211 | 73.0999984741211 | 73.0999984741211 | 73.0999984741211 | 73.0999984741211 | 73.1999969482422
Zambia | ZMB | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 86 | 85.8000030517578 | 85.5999984741211 | 85.5999984741211 | 85.3000030517578 | 85.1999969482422 | 85.1999969482422 | 85.3000030517578 | 85.1999969482422 | 85.3000030517578 | 85.4000015258789 | 85.5999984741211 | 85.6999969482422 | 85.9000015258789 | 86 | 86.1999969482422 | 86.0999984741211 | 86.0999984741211 | 86 | 85.9000015258789 | 85.9000015258789 | 85.8000030517578 | 85.6999969482422
Zimbabwe | ZWE | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 79.5 | 79.8000030517578 | 80 | 80.1999969482422 | 80.3000030517578 | 80.3000030517578 | 80.3000030517578 | 80.3000030517578 | 79.6999969482422 | 78.9000015258789 | 81.4000015258789 | 83.8000030517578 | 86.1999969482422 | 88.4000015258789 | 90.3000030517578 | 90.0999984741211 | 90 | 89.8000030517578 | 89.6999969482422 | 89.5999984741211 | 89.5 | 89.5999984741211 | 89.6999969482422