Spreadsheet: 6c58ef72-ce3c-44f4-8580-5bcd07441b52
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, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
Andorra | AND | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
Afghanistan | AFG | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 49.2000007629395 | 49.0999984741211 | 48.9000015258789 | 48.7999992370605 | 48.5999984741211 | 48.5 | 48.4000015258789 | 48.2999992370605 | 48.2000007629395 | 48.0999984741211 | 47.5999984741211 | 47.5999984741211 | 47.7000007629395 | 47.7000007629395 | 47.7999992370605 | 47.7999992370605 | 47.9000015258789 | 47.9000015258789 | 48 | 48 | 48.0999984741211 | 48 | 47.9000015258789
Angola | AGO | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 70.9000015258789 | 71 | 71.3000030517578 | 72.0999984741211 | 72.0999984741211 | 71.9000015258789 | 71.6999969482422 | 71.5 | 71.4000015258789 | 71.4000015258789 | 71.3000030517578 | 71.3000030517578 | 71 | 70.9000015258789 | 70.6999969482422 | 70.1999969482422 | 69.8000030517578 | 69.3000030517578 | 69.0999984741211 | 69.4000015258789 | 69.6999969482422 | 69.8000030517578 | 69.9000015258789
Albania | ALB | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 64.1999969482422 | 65 | 65 | 64.8000030517578 | 64.5999984741211 | 64.0999984741211 | 63.7000007629395 | 63.7999992370605 | 63.2000007629395 | 62.7000007629395 | 62.2000007629395 | 61.7999992370605 | 61.5 | 60.5 | 59.5 | 58.5999984741211 | 57.5999984741211 | 56.7000007629395 | 55.9000015258789 | 55.2000007629395 | 55.2000007629395 | 55.0999984741211 | 55.0999984741211
Andean Region | ANR | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
Arab World | ARB | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 49.18615214480371 | 48.57069717217459 | 48.26425327893401 | 48.46994129079361 | 48.85853384249251 | 48.88693783803642 | 48.76174869141033 | 48.54995924283356 | 48.30019668638939 | 48.5621784296062 | 48.34058133755317 | 47.92919346974879 | 47.70383079432953 | 48.09590786823793 | 48.45264642510237 | 48.68676920854257 | 48.50386703523709 | 48.97392547591368 | 49.16826545613163 | 49.25344792643814 | 49.50983595740992 | 49.75297419684839 | 49.9876488930015
United Arab Emirates | ARE | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 72.6999969482422 | 73.0999984741211 | 73.5999984741211 | 74.0999984741211 | 74.6999969482422 | 75.1999969482422 | 75.5 | 75.8000030517578 | 76 | 76.0999984741211 | 76.1999969482422 | 76.3000030517578 | 76.3000030517578 | 76.3000030517578 | 76.4000015258789 | 76.5999984741211 | 76.6999969482422 | 76.9000015258789 | 77.0999984741211 | 77.5 | 78.1999969482422 | 78.6999969482422 | 79.3000030517578
Argentina | ARG | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 58.7000007629395 | 58.2999992370605 | 57.9000015258789 | 57.7000007629395 | 57.5999984741211 | 58 | 57.9000015258789 | 57.9000015258789 | 57.7999992370605 | 57.7999992370605 | 57.7999992370605 | 58 | 58.2000007629395 | 58.4000015258789 | 62.0999984741211 | 62.0999984741211 | 62.0999984741211 | 61.7999992370605 | 61.5 | 61.2000007629395 | 60.5 | 60.5999984741211 | 60.7000007629395
Armenia | ARM | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 68.0999984741211 | 68 | 67.1999969482422 | 66.6999969482422 | 66.4000015258789 | 66.0999984741211 | 65.8000030517578 | 65.4000015258789 | 65.0999984741211 | 64.9000015258789 | 64.5999984741211 | 64.4000015258789 | 63.2999992370605 | 62.2999992370605 | 61.2999992370605 | 60.4000015258789 | 59.5999984741211 | 59 | 58.5 | 59.2000007629395 | 61.5999984741211 | 62.0999984741211 | 62.5999984741211
American Samoa | ASM | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
[NAME] and [NAME] | ATG | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
Australia | AUS | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 63.9000015258789 | 63.2999992370605 | 63 | 62.7000007629395 | 63.0999984741211 | 63.7999992370605 | 63.5999984741211 | 63.2999992370605 | 63.2000007629395 | 63 | 63.4000015258789 | 63.5 | 63.5 | 63.5999984741211 | 63.5 | 64.5 | 64.9000015258789 | 65.4000015258789 | 65.6999969482422 | 65.5999984741211 | 65.5999984741211 | 65.5999984741211 | 65.3000030517578
Austria | AUT | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 55.5999984741211 | 55.9000015258789 | 56.7999992370605 | 57 | 58.7000007629395 | 59 | 58.2999992370605 | 58.2999992370605 | 58.0999984741211 | 58.2000007629395 | 58 | 58.0999984741211 | 58.7999992370605 | 59.0999984741211 | 58.2999992370605 | 58.9000015258789 | 59.5999984741211 | 60.5 | 60.5999984741211 | 60.7999992370605 | 60.5 | 60.7000007629395 | 60.9000015258789
Azerbaijan | AZE | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 62 | 62.2000007629395 | 63.2000007629395 | 63.7000007629395 | 63.7999992370605 | 63.7000007629395 | 63.7000007629395 | 63.7999992370605 | 63.9000015258789 | 63.9000015258789 | 64.0999984741211 | 64.1999969482422 | 64.3000030517578 | 64.3000030517578 | 64.3000030517578 | 64.1999969482422 | 64.1999969482422 | 64.0999984741211 | 64.1999969482422 | 64.8000030517578 | 64.5 | 65 | 65.5999984741211
Burundi | BDI | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 90.5999984741211 | 90.0999984741211 | 89.5999984741211 | 89 | 88.3000030517578 | 87.5999984741211 | 86.8000030517578 | 85.9000015258789 | 85 | 84.5999984741211 | 84.3000030517578 | 83.9000015258789 | 83.5 | 83.1999969482422 | 82.9000015258789 | 82.5999984741211 | 82.4000015258789 | 82.3000030517578 | 82.1999969482422 | 82.1999969482422 | 82.1999969482422 | 82.4000015258789 | 82.5
Belgium | BEL | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 48.4000015258789 | 49.2999992370605 | 49.5 | 49.5999984741211 | 50.2000007629395 | 50.4000015258789 | 50.4000015258789 | 50.4000015258789 | 50.7000007629395 | 51.7999992370605 | 52.2000007629395 | 50.7999992370605 | 51.5 | 51.5999984741211 | 52.2999992370605 | 53.2000007629395 | 53 | 53.5999984741211 | 53.5999984741211 | 53.2999992370605 | 53.9000015258789 | 53 | 53
Benin | [NAME] | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 72.4000015258789 | 72.5 | 72.5999984741211 | 72.8000030517578 | 72.9000015258789 | 72.9000015258789 | 72.9000015258789 | 72.8000030517578 | 72.6999969482422 | 72.5 | 72.4000015258789 | 72.1999969482422 | 72 | 72.0999984741211 | 72.1999969482422 | 72.3000030517578 | 72.4000015258789 | 72.5 | 72.5999984741211 | 72.6999969482422 | 72.8000030517578 | 72.8000030517578 | 72.8000030517578
[NAME] | BFA | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 83.4000015258789 | 83.3000030517578 | 83.3000030517578 | 83.3000030517578 | 83.3000030517578 | 83.3000030517578 | 83.3000030517578 | 83.3000030517578 | 83.3000030517578 | 83.3000030517578 | 83.3000030517578 | 83.3000030517578 | 83.3000030517578 | 83.4000015258789 | 83.4000015258789 | 83.4000015258789 | 83.5 | 83.5 | 83.5 | 83.5999984741211 | 83.5999984741211 | 83.5 | 83.5
Bangladesh | BGD | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 75.8000030517578 | 75.6999969482422 | 75.1999969482422 | 74.5999984741211 | 74 | 73.5 | 72.9000015258789 | 72.3000030517578 | 71.8000030517578 | 71.1999969482422 | 70.6999969482422 | 70.6999969482422 | 70.6999969482422 | 70.6999969482422 | 70.6999969482422 | 70.6999969482422 | 70.6999969482422 | 70.6999969482422 | 70.6999969482422 | 70.6999969482422 | 70.6999969482422 | 70.8000030517578 | 70.8000030517578
Bulgaria | BGR | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 58.7000007629395 | 58.0999984741211 | 57.5 | 56.5999984741211 | 55.5999984741211 | 54.7000007629395 | 53.7000007629395 | 52.7999992370605 | 51.9000015258789 | 50.9000015258789 | 49.7999992370605 | 51.5999984741211 | 51.0999984741211 | 50.2000007629395 | 51 | 50.2000007629395 | 52.2000007629395 | 53.7000007629395 | 55.0999984741211 | 54.2999992370605 | 53.2999992370605 | 52.5999984741211 | 53.0999984741211
Bahrain | BHR | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 64.3000030517578 | 64.8000030517578 | 65 | 65.1999969482422 | 65.3000030517578 | 65.4000015258789 | 65.4000015258789 | 65.4000015258789 | 65.4000015258789 | 65.5 | 65.6999969482422 | 65.9000015258789 | 65.5 | 65.1999969482422 | 65.0999984741211 | 66 | 67.0999984741211 | 68.3000030517578 | 69.3000030517578 | 70.0999984741211 | 70.5 | 70.5999984741211 | 70.5
Bahamas, The | BHS | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 72 | 72.9000015258789 | 73.6999969482422 | 74.5 | 75.1999969482422 | 74.3000030517578 | 73.0999984741211 | 71.5 | 69.5 | 70 | 70.5 | 70.9000015258789 | 71.3000030517578 | 71.6999969482422 | 72.0999984741211 | 72.5999984741211 | 72.9000015258789 | 73.3000030517578 | 73.6999969482422 | 74 | 74.0999984741211 | 74.0999984741211 | 74.0999984741211
Bosnia and Herzegovina | BIH | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46.4000015258789 | 45.7999992370605 | 45.2000007629395 | 44.7999992370605 | 44.7999992370605 | 45.5999984741211 | 46.7000007629395 | 46.4000015258789 | 46.0999984741211 | 45.7000007629395 | 45.2999992370605 | 45 | 44.5999984741211 | 44.2999992370605 | 43.9000015258789 | 43.5999984741211 | 43.2999992370605 | 44.2000007629395 | 44.9000015258789 | 44.5999984741211 | 45.2000007629395 | 45.2000007629395 | 45.2999992370605
Belarus | BLR | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 67.1999969482422 | 66.1999969482422 | 65.3000030517578 | 64.3000030517578 | 63.4000015258789 | 62.5 | 61.5 | 60.5999984741211 | 59.7000007629395 | 58.7999992370605 | 58.4000015258789 | 57.9000015258789 | 57.5 | 57.0999984741211 | 56.7000007629395 | 56.2999992370605 | 55.9000015258789 | 55.5 | 55.0999984741211 | 54.7000007629395 | 55.0999984741211 | 55.4000015258789 | 55.7000007629395
Belize | BLZ | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 59.2999992370605 | 59 | 58.5999984741211 | 58.4000015258789 | 58.5 | 59.9000015258789 | 61.2000007629395 | 61.2999992370605 | 61.4000015258789 | 61.5 | 61.5999984741211 | 61.7999992370605 | 62 | 62.2000007629395 | 62.4000015258789 | 62.7000007629395 | 63.2000007629395 | 63.7999992370605 | 64.3000030517578 | 64.9000015258789 | 65.4000015258789 | 65.5 | 65.5999984741211
Bermuda | BMU | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
Bolivia | BOL | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 66.1999969482422 | 66.5999984741211 | 67 | 67.5 | 67.9000015258789 | 68.4000015258789 | 69.5999984741211 | 70.8000030517578 | 70.6999969482422 | 70.5999984741211 | 70.5 | 70.5999984741211 | 70.8000030517578 | 70.9000015258789 | 71 | 71.0999984741211 | 71.3000030517578 | 71.5999984741211 | 71.6999969482422 | 72 | 72.1999969482422 | 72.3000030517578 | 72.4000015258789
Brazil | BRA | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 64.5999984741211 | 66.9000015258789 | 69.1999969482422 | 69 | 69.0999984741211 | 69.1999969482422 | 67.1999969482422 | 67.9000015258789 | 67.9000015258789 | 68.5999984741211 | 68.1999969482422 | 67.8000030517578 | 68.5999984741211 | 68.6999969482422 | 69.4000015258789 | 70.1999969482422 | 69.9000015258789 | 69.5 | 69.6999969482422 | 69.8000030517578 | 70 | 69.9000015258789 | 69.9000015258789
Barbados | BRB | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 69.0999984741211 | 67.5999984741211 | 68.1999969482422 | 68.5999984741211 | 68.9000015258789 | 69.5 | 68.6999969482422 | 68.8000030517578 | 69.0999984741211 | 69.3000030517578 | 69.6999969482422 | 70 | 69.3000030517578 | 69.5999984741211 | 70.4000015258789 | 70.5999984741211 | 70.6999969482422 | 70.8000030517578 | 71 | 71.1999969482422 | 71.1999969482422 | 71.3000030517578 | 71.3000030517578
[NAME] | BRN | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 65.1999969482422 | 65.5999984741211 | 65.8000030517578 | 66 | 66.0999984741211 | 66.3000030517578 | 66.5999984741211 | 66.9000015258789 | 67.1999969482422 | 67.5 | 67.6999969482422 | 67.8000030517578 | 67.5 | 67.1999969482422 | 66.9000015258789 | 66.5 | 66.1999969482422 | 65.9000015258789 | 65.5 | 65.1999969482422 | 64.9000015258789 | 64.5999984741211 | 64.3000030517578
Bhutan | BTN | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 64.5 | 64.4000015258789 | 64.0999984741211 | 63.7999992370605 | 63.5999984741211 | 63.7000007629395 | 63.9000015258789 | 64.3000030517578 | 64.9000015258789 | 65.6999969482422 | 66.6999969482422 | 67.8000030517578 | 68.9000015258789 | 69.9000015258789 | 70.6999969482422 | 71.1999969482422 | 71.4000015258789 | 71.4000015258789 | 71.3000030517578 | 71.0999984741211 | 71.5 | 71.8000030517578 | 72.1999969482422
Botswana | BWA | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 73.5 | 73.5999984741211 | 73.8000030517578 | 73.9000015258789 | 74 | 74.1999969482422 | 74.3000030517578 | 74.4000015258789 | 74.5999984741211 | 74.6999969482422 | 74.9000015258789 | 75.0999984741211 | 75.3000030517578 | 75.5 | 75.6999969482422 | 75.9000015258789 | 76 | 76.1999969482422 | 76.3000030517578 | 76.4000015258789 | 76.5 | 76.5999984741211 | 76.6999969482422
Sub-Saharan Africa (IFC classification) | CAA | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
Central African Republic | CAF | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 77.9000015258789 | 78 | 78.1999969482422 | 78.1999969482422 | 78.1999969482422 | 78.0999984741211 | 78.1999969482422 | 78.0999984741211 | 78 | 78 | 78 | 78 | 78 | 78.1999969482422 | 78.1999969482422 | 78.3000030517578 | 78.3000030517578 | 78.4000015258789 | 78.5 | 78.5999984741211 | 78.6999969482422 | 78.6999969482422 | 78.6999969482422
Canada | CAN | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 66.8000030517578 | 66.3000030517578 | 65.3000030517578 | 65 | 64.8000030517578 | 64.4000015258789 | 64.1999969482422 | 64.4000015258789 | 64.6999969482422 | 65.0999984741211 | 65.3000030517578 | 65.4000015258789 | 66.3000030517578 | 67 | 67 | 66.5999984741211 | 66.5999984741211 | 67.0999984741211 | 67.3000030517578 | 66.8000030517578 | 66.5999984741211 | 66.4000015258789 | 66.3000030517578
East Asia and the Pacific (IFC classification) | CEA | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
Central Europe and the Baltics | CEB | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 60.91565143918204 | 60.64175111186884 | 60.18868399514516 | 59.62464226969234 | 59.10982439018649 | 58.6822130566851 | 58.51524671120207 | 58.45329351806735 | 58.01848779822965 | 57.60508518523678 | 57.42028890770491 | 57.13923702886127 | 55.5268985109835 | 55.3436966677484 | 55.21299407225024 | 54.89252191851239 | 55.04890842076649 | 55.07766940154237 | 55.36898097612407 | 55.52927499343852 | 55.76100670963338 | 55.74520540648206 | 56.22945913154749
Europe and Central Asia (IFC classification) | CEU | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
Switzerland | CHE | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 67.8000030517578 | 68.5 | 68.5 | 68.4000015258789 | 67.5999984741211 | 67.4000015258789 | 67.5999984741211 | 67.3000030517578 | 67.8000030517578 | 67.8000030517578 | 67.4000015258789 | 67.8000030517578 | 67.6999969482422 | 67.8000030517578 | 67.3000030517578 | 67 | 67.4000015258789 | 67.6999969482422 | 68.1999969482422 | 68.3000030517578 | 67.9000015258789 | 68.0999984741211 | 68.0999984741211
Channel Islands | CHI | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
Chile | CHL | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 54.0999984741211 | 54 | 55.2000007629395 | 56.5999984741211 | 56.5 | 55.5 | 55 | 55.2999992370605 | 55.4000015258789 | 55.2999992370605 | 54.7000007629395 | 54 | 53.5999984741211 | 54.0999984741211 | 54.7000007629395 | 55.2999992370605 | 55.9000015258789 | 56.5 | 57.7999992370605 | 57.7000007629395 | 60.2999992370605 | 61.5999984741211 | 61.5999984741211
China | CHN | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 78.9000015258789 | 78.8000030517578 | 78.8000030517578 | 78.8000030517578 | 78.6999969482422 | 78.5999984741211 | 78.4000015258789 | 78.1999969482422 | 77.9000015258789 | 77.5 | 77.0999984741211 | 76.3000030517578 | 75.5 | 74.6999969482422 | 73.9000015258789 | 73.1999969482422 | 72.5999984741211 | 72.0999984741211 | 71.5999984741211 | 71.1999969482422 | 70.6999969482422 | 71 | 71.0999984741211
Cote d'Ivoire | CIV | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 67.1999969482422 | 67.0999984741211 | 67 | 66.9000015258789 | 66.8000030517578 | 66.6999969482422 | 66.5999984741211 | 66.5 | 66.4000015258789 | 66.5 | 66.5 | 66.5999984741211 | 66.6999969482422 | 66.8000030517578 | 67 | 67.0999984741211 | 67.0999984741211 | 67.1999969482422 | 67.3000030517578 | 67.3000030517578 | 67.4000015258789 | 67.3000030517578 | 67.3000030517578
Latin America and the Caribbean (IFC classification) | CLA | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
Middle East and North Africa (IFC classification) | CME | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
Cameroon | CMR | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 67.1999969482422 | 67.5999984741211 | 67.9000015258789 | 68.1999969482422 | 68.5 | 68.6999969482422 | 68.8000030517578 | 68.8000030517578 | 68.8000030517578 | 68.8000030517578 | 68.9000015258789 | 68.9000015258789 | 68.9000015258789 | 68.9000015258789 | 69 | 69.0999984741211 | 69.1999969482422 | 69.4000015258789 | 69.5 | 69.6999969482422 | 69.9000015258789 | 70 | 70.0999984741211
Congo, Rep. | COG | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 66.3000030517578 | 66.5 | 66.5999984741211 | 66.8000030517578 | 67 | 67.0999984741211 | 67.3000030517578 | 67.5 | 67.8000030517578 | 68 | 68.3000030517578 | 68.5 | 68.8000030517578 | 69.0999984741211 | 69.3000030517578 | 69.5999984741211 | 69.8000030517578 | 70 | 70.1999969482422 | 70.4000015258789 | 70.5999984741211 | 70.5999984741211 | 70.6999969482422
Colombia | COL | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 54 | 54.0999984741211 | 54.0999984741211 | 54.2000007629395 | 55.5999984741211 | 57.0999984741211 | 58.5999984741211 | 60.0999984741211 | 61.5999984741211 | 63.2000007629395 | 64.6999969482422 | 66.0999984741211 | 67.5999984741211 | 69 | 67 | 66.5999984741211 | 64.5999984741211 | 63.7999992370605 | 64.3000030517578 | 66.6999969482422 | 67.0999984741211 | 67.1999969482422 | 67.3000030517578
Comoros | COM | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 53.7000007629395 | 53.7999992370605 | 54 | 54.0999984741211 | 54.2000007629395 | 54.2999992370605 | 54.2999992370605 | 54.4000015258789 | 54.4000015258789 | 54.5 | 54.7000007629395 | 54.9000015258789 | 55.0999984741211 | 55.4000015258789 | 55.7000007629395 | 56 | 56.2999992370605 | 56.5999984741211 | 56.9000015258789 | 57.0999984741211 | 57.4000015258789 | 57.5 | 57.5999984741211
Cabo Verde | CPV | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 61.7000007629395 | 62 | 62.2000007629395 | 62.5 | 62.7999992370605 | 63 | 63.2000007629395 | 63.2999992370605 | 63.5 | 63.5999984741211 | 63.7999992370605 | 64 | 64.1999969482422 | 64.4000015258789 | 64.6999969482422 | 64.9000015258789 | 65.1999969482422 | 65.5 | 65.8000030517578 | 66.0999984741211 | 66.5 | 66.8000030517578 | 67.1999969482422
Costa Rica | CRI | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 58.7999992370605 | 58.4000015258789 | 57.9000015258789 | 58.5999984741211 | 58.9000015258789 | 59.9000015258789 | 58.0999984741211 | 60.2000007629395 | 61.5999984741211 | 61 | 59.5999984741211 | 62.0999984741211 | 61.7999992370605 | 61.5 | 60.5 | 62.5 | 62.4000015258789 | 63.2999992370605 | 62.7000007629395 | 62.5 | 62.7000007629395 | 62.7999992370605 | 62.9000015258789
South Asia (IFC classification) | CSA | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
Caribbean small states | CSS | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 66.0863521829365 | 65.51470696574478 | 65.87904001877182 | 66.07891764796385 | 66.38832211821942 | 66.13977629439866 | 65.86272261677561 | 65.33834369810447 | 64.78255735166596 | 64.57986824662918 | 64.41890458196085 | 64.2603738364678 | 64.10192069911585 | 64.21181360538831 | 64.42336950351847 | 64.86662337990514 | 64.9320272833355 | 64.99625732688357 | 65.12565524530206 | 64.22464059076255 | 63.85561307114115 | 63.78897973602653 | 63.91113515146927
Cuba | CUB | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 53.7000007629395 | 53.9000015258789 | 54.0999984741211 | 54.2999992370605 | 54.5999984741211 | 54.7000007629395 | 54.7000007629395 | 54.5999984741211 | 54.4000015258789 | 54.2000007629395 | 53.9000015258789 | 53.5999984741211 | 53.2999992370605 | 53 | 52.5999984741211 | 53 | 53.2999992370605 | 54.4000015258789 | 55 | 56.5 | 56.5999984741211 | 56.7000007629395 | 56.7000007629395
[NAME] | CUW | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
Cayman Islands | CYM | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
Cyprus | CYP | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 55.9000015258789 | 56.5999984741211 | 55.9000015258789 | 56.7999992370605 | 56.2999992370605 | 55.9000015258789 | 56.7000007629395 | 56.5999984741211 | 56.2999992370605 | 56.4000015258789 | 60.7999992370605 | 62.2000007629395 | 62.2999992370605 | 63.4000015258789 | 63.7999992370605 | 63.4000015258789 | 63.7000007629395 | 64 | 63.9000015258789 | 64 | 64.4000015258789 | 63.5999984741211 | 63.5
Czech Republic | CZE | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 60.7000007629395 | 61.2999992370605 | 61.4000015258789 | 61.4000015258789 | 61.5999984741211 | 61.4000015258789 | 61.0999984741211 | 61 | 61 | 61 | 60.5 | 60.0999984741211 | 59.9000015258789 | 59.5 | 59.2000007629395 | 59.4000015258789 | 59.2000007629395 | 58.7999992370605 | 58.5 | 58.5999984741211 | 58.2999992370605 | 58.2999992370605 | 58.7999992370605
Germany | DEU | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 55.9000015258789 | 59.5 | 59 | 58.5999984741211 | 58.2999992370605 | 58.2000007629395 | 58.2999992370605 | 58.5 | 58.7999992370605 | 58.4000015258789 | 58.0999984741211 | 58.0999984741211 | 57.7999992370605 | 57.2999992370605 | 57.7999992370605 | 58.4000015258789 | 58.7999992370605 | 59.0999984741211 | 59.2000007629395 | 59.2999992370605 | 59.2999992370605 | 59.9000015258789 | 59.7999992370605
Djibouti | DJI | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 47 | 46.9000015258789 | 47.0999984741211 | 47.2999992370605 | 47.5 | 47.7000007629395 | 47.9000015258789 | 48.2000007629395 | 48.5 | 48.7000007629395 | 48.9000015258789 | 49.0999984741211 | 49.2000007629395 | 49.4000015258789 | 49.5 | 49.7000007629395 | 50 | 50.2000007629395 | 50.5 | 50.7999992370605 | 51.2000007629395 | 51.4000015258789 | 51.7000007629395
Dominica | DMA | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
Denmark | DNK | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 68.3000030517578 | 68 | 68 | 67.3000030517578 | 64.5 | 65.3000030517578 | 65.4000015258789 | 65.8000030517578 | 65.5 | 66.1999969482422 | 65.8000030517578 | 65.4000015258789 | 65.9000015258789 | 65.5999984741211 | 66.1999969482422 | 65.9000015258789 | 66.3000030517578 | 65.9000015258789 | 66.0999984741211 | 65.3000030517578 | 64.4000015258789 | 64 | 63.2999992370605
Dominican Republic | DOM | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 64.3000030517578 | 64.4000015258789 | 64.0999984741211 | 64 | 64 | 64 | 63.7999992370605 | 63.7000007629395 | 63.5 | 63.4000015258789 | 63.2999992370605 | 63.5999984741211 | 63.9000015258789 | 64.1999969482422 | 64.5 | 64.6999969482422 | 64.9000015258789 | 65.0999984741211 | 65.0999984741211 | 65.0999984741211 | 64.9000015258789 | 64.9000015258789 | 64.9000015258789
Algeria | DZA | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 42.2999992370605 | 42.7999992370605 | 43.2999992370605 | 43.7000007629395 | 44.0999984741211 | 44.5999984741211 | 45 | 44.5999984741211 | 44.2999992370605 | 44 | 43.7000007629395 | 43.5 | 43.2999992370605 | 43.0999984741211 | 43 | 42.9000015258789 | 42.7999992370605 | 42.7999992370605 | 42.7000007629395 | 42.7999992370605 | 43.0999984741211 | 43.4000015258789 | 43.7000007629395
East Asia & Pacific (developing only) | EAP | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 76.90204553319933 | 76.7253771009331 | 76.62052274127542 | 76.59531170656186 | 76.46476779188058 | 76.50359276721306 | 76.40722647263416 | 76.06990351710247 | 75.75436635891913 | 75.64739721221369 | 75.30658218863027 | 74.81988234013079 | 74.16874817719017 | 73.62407995235884 | 73.05810600841001 | 72.5166944676077 | 72.0175992689857 | 71.65144816133238 | 71.29566926536123 | 71.02278100679239 | 70.6616945379522 | 70.89826398038164 | 70.98074106156123
East Asia & Pacific (all income levels) | EAS | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 75.12831653709087 | 75.0303345068824 | 74.9668219482763 | 74.92737011405872 | 74.82976030646739 | 74.87390175719943 | 74.8186670707025 | 74.54560521309607 | 74.21042022931138 | 74.0911515571789 | 73.78486037734135 | 73.35346508401797 | 72.75677026483048 | 72.24773699468349 | 71.74844663525712 | 71.28556704455919 | 70.85088341467684 | 70.54631462211303 | 70.213294134833 | 69.93821743443569 | 69.62736534313926 | 69.78248033437049 | 69.8533881730281
Europe & Central Asia (developing only) | ECA | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 60.66368145757735 | 60.45519811165544 | 60.11963274543961 | 59.08600335691973 | 59.40980750633006 | 59.11749865582306 | 58.95067128384999 | 58.55332946471403 | 58.25037514928998 | 58.02473960499183 | 57.06312676215222 | 56.77197043423943 | 56.0727025851937 | 55.52829800600095 | 55.12042590764008 | 55.11457640690633 | 55.23412146534652 | 55.31840375319891 | 55.52819114514671 | 55.78411150822974 | 56.13173291293236 | 56.53017258720786 | 56.73821456589666
Europe & Central Asia (all income levels) | ECS | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 59.8141735662876 | 59.85718041380267 | 59.2437094028972 | 58.41843520954462 | 57.98273191095512 | 57.77748496895259 | 57.60386619574245 | 57.23575879557953 | 57.06970846354213 | 57.69865145549797 | 57.4964382369467 | 57.1113169427957 | 57.09456752336865 | 57.20561097744899 | 57.31612829865328 | 57.50796874736825 | 57.69004553645914 | 57.92598199332196 | 58.18311818549005 | 58.211046381383 | 58.21778755759068 | 58.41419942694979 | 58.59428926044587
Ecuador | ECU | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 61.5999984741211 | 62 | 62.5999984741211 | 63.2000007629395 | 63.5999984741211 | 64.1999969482422 | 64.5999984741211 | 65 | 65.5 | 66.3000030517578 | 66.8000030517578 | 71.5 | 70.3000030517578 | 69 | 71 | 69.9000015258789 | 71.0999984741211 | 69 | 67.9000015258789 | 67.5999984741211 | 68 | 68.1999969482422 | 68.4000015258789
Egypt, Arab Rep. | EGY | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 50 | 47.5 | 46.2999992370605 | 46.7999992370605 | 47.7000007629395 | 46.5999984741211 | 46.0999984741211 | 45.5999984741211 | 45.0999984741211 | 46.5 | 46.0999984741211 | 45.5999984741211 | 45 | 45.9000015258789 | 46.9000015258789 | 47.7000007629395 | 46.7000007629395 | 47.7999992370605 | 48.0999984741211 | 48.2999992370605 | 48.5999984741211 | 48.7999992370605 | 49
Euro area | EMU | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 54.21079886849668 | 55.11213669148435 | 54.5534817887422 | 54.33435558654391 | 54.24935432570126 | 54.18056237133522 | 54.38156134325528 | 54.4641658485164 | 54.74105622191581 | 54.89718579708485 | 55.02601782983441 | 54.92277531242009 | 55.20643218114912 | 55.46577356298672 | 55.88255805446647 | 56.18767631716511 | 56.47324657339168 | 56.70927084719464 | 56.95699195082567 | 56.88079730906053 | 56.75394180384556 | 56.7721967885083 | 56.94899704692435
Eritrea | ERI | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 83.5999984741211 | 83.5999984741211 | 83.4000015258789 | 82.9000015258789 | 82.0999984741211 | 81.9000015258789 | 81.6999969482422 | 81.5999984741211 | 81.6999969482422 | 82 | 82.5999984741211 | 82.6999969482422 | 82.9000015258789 | 83.1999969482422 | 83.4000015258789 | 83.5999984741211 | 83.8000030517578 | 84 | 84.3000030517578 | 84.4000015258789 | 84.5 | 84.5999984741211 | 84.6999969482422
Spain | ESP | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 50.7999992370605 | 50.7000007629395 | 50.4000015258789 | 50.4000015258789 | 50.5999984741211 | 50.5999984741211 | 50.9000015258789 | 51.2000007629395 | 51.5 | 52 | 53 | 52.2999992370605 | 53.4000015258789 | 54.5 | 55.7000007629395 | 56.7000007629395 | 57.5999984741211 | 58.0999984741211 | 58.9000015258789 | 59 | 59.2000007629395 | 59.2999992370605 | 59.4000015258789
Estonia | EST | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 69.1999969482422 | 67.9000015258789 | 66.4000015258789 | 64.9000015258789 | 63.2000007629395 | 61.5 | 61.4000015258789 | 61.2000007629395 | 60.4000015258789 | 59 | 58.4000015258789 | 58.5 | 57.2999992370605 | 58.9000015258789 | 59.0999984741211 | 58.7999992370605 | 60.7999992370605 | 61 | 61.7000007629395 | 61.5999984741211 | 61.4000015258789 | 62.2999992370605 | 61.7999992370605
Ethiopia | ETH | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 80.9000015258789 | 81.0999984741211 | 81.3000030517578 | 81.0999984741211 | 81.0999984741211 | 81 | 80.8000030517578 | 80.6999969482422 | 80.8000030517578 | 80.8000030517578 | 81.5 | 82.1999969482422 | 82.8000030517578 | 83.4000015258789 | 84 | 84.5999984741211 | 84.5 | 84.4000015258789 | 84.1999969482422 | 84 | 83.9000015258789 | 83.8000030517578 | 83.8000030517578
European Union | EUU | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 56.91884891670244 | 57.38359140655005 | 56.83680969681326 | 56.50759494520096 | 56.29813447751628 | 56.16065316503894 | 56.2912674148302 | 56.3344214333523 | 56.38330408202557 | 56.46585846535201 | 56.54102283439497 | 56.36265314797331 | 56.22561155315533 | 56.36417449784128 | 56.60338248529708 | 56.76335147027429 | 57.04906333997599 | 57.17393818635127 | 57.4308551265655 | 57.3885040334393 | 57.32026096960359 | 57.34039731071314 | 57.57699798450254
Fragile and conflict affected situations | FCS | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 63.99056140047094 | 63.93567807861309 | 63.8416871860864 | 63.76711952554264 | 63.78490119316067 | 63.81381307184391 | 63.77100230033869 | 63.71665055342224 | 63.63660778818737 | 63.55362341873561 | 63.66694734913646 | 63.795318513533 | 63.90893805526498 | 64.01440128366775 | 64.07702883399837 | 64.11142423784885 | 64.15878251310421 | 64.26954354944863 | 64.33270165643822 | 64.33386400381085 | 64.460240289467 | 64.46108219703966 | 64.49248427598054
Finland | FIN | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 65 | 63.5999984741211 | 62.2000007629395 | 61.2999992370605 | 60.5 | 60.7999992370605 | 60.7000007629395 | 60.0999984741211 | 60.2999992370605 | 61.2000007629395 | 61.7000007629395 | 61.7999992370605 | 61.7000007629395 | 61.2000007629395 | 60.7999992370605 | 61 | 61.5 | 61.7000007629395 | 61.9000015258789 | 60.9000015258789 | 60.2999992370605 | 60.2999992370605 | 60.0999984741211
Fiji | FJI | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 56.5 | 57 | 57.5 | 58 | 58.4000015258789 | 58.9000015258789 | 59.2999992370605 | 58.7999992370605 | 58.2999992370605 | 57.7999992370605 | 57.4000015258789 | 57.0999984741211 | 56.9000015258789 | 56.7000007629395 | 56.5 | 56.2000007629395 | 55.7000007629395 | 55.2000007629395 | 55 | 55 | 55 | 55 | 55
France | FRA | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 55.2000007629395 | 54.7999992370605 | 55 | 55.0999984741211 | 55.0999984741211 | 55.2000007629395 | 55.5999984741211 | 55.2000007629395 | 55.2000007629395 | 55.4000015258789 | 55.2999992370605 | 55 | 55.0999984741211 | 55.9000015258789 | 55.7000007629395 | 55.9000015258789 | 55.7999992370605 | 55.9000015258789 | 56 | 56.2000007629395 | 56.2000007629395 | 56 | 56.0999984741211
Faeroe Islands | FRO | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
Micronesia, Fed. [NAME]. | FSM | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
Gabon | GAB | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 62.5999984741211 | 62.4000015258789 | 62.2999992370605 | 62.2000007629395 | 61.7999992370605 | 61.5 | 61.2000007629395 | 61 | 60.7000007629395 | 60.5 | 60.2000007629395 | 60 | 59.7999992370605 | 59.5 | 59.2999992370605 | 59.2000007629395 | 59.2999992370605 | 59.5 | 59.7000007629395 | 59.9000015258789 | 60.0999984741211 | 60.2999992370605 | 60.5999984741211
United Kingdom | GBR | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 63.2000007629395 | 62.7999992370605 | 62.0999984741211 | 61.5999984741211 | 61.5 | 61.2999992370605 | 61.5 | 61.5999984741211 | 61.4000015258789 | 61.7999992370605 | 61.9000015258789 | 61.5999984741211 | 61.7999992370605 | 61.9000015258789 | 61.9000015258789 | 61.9000015258789 | 62.4000015258789 | 62.0999984741211 | 62.4000015258789 | 62.2000007629395 | 61.9000015258789 | 61.9000015258789 | 62.0999984741211
Georgia | GEO | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 64.0999984741211 | 64.9000015258789 | 66.1999969482422 | 66.4000015258789 | 66.4000015258789 | 66.4000015258789 | 66.3000030517578 | 66.0999984741211 | 66 | 65.8000030517578 | 63.5999984741211 | 66 | 63.9000015258789 | 65.0999984741211 | 63.7999992370605 | 63.5999984741211 | 63.5 | 63.4000015258789 | 63.5 | 63.7999992370605 | 64 | 64.3000030517578 | 64.6999969482422
Ghana | GHA | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 71.1999969482422 | 71.3000030517578 | 71.4000015258789 | 71.8000030517578 | 72.1999969482422 | 72.5999984741211 | 73 | 73.4000015258789 | 73.9000015258789 | 74.3000030517578 | 74.6999969482422 | 73.8000030517578 | 72.8000030517578 | 71.8000030517578 | 70.6999969482422 | 69.5999984741211 | 68.5999984741211 | 68.5999984741211 | 68.6999969482422 | 68.6999969482422 | 68.9000015258789 | 69 | 69.1999969482422
Guinea | GIN | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 71.5 | 71.5 | 71.4000015258789 | 71.3000030517578 | 71.1999969482422 | 71.0999984741211 | 71 | 70.9000015258789 | 70.8000030517578 | 70.8000030517578 | 70.8000030517578 | 70.9000015258789 | 70.9000015258789 | 70.8000030517578 | 71 | 71 | 71.0999984741211 | 71.3000030517578 | 71.3000030517578 | 71.5999984741211 | 71.8000030517578 | 71.8000030517578 | 71.9000015258789
Gambia, The | GMB | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 77.5 | 77.4000015258789 | 77.4000015258789 | 77.4000015258789 | 77.4000015258789 | 77.4000015258789 | 77.3000030517578 | 77.3000030517578 | 77.3000030517578 | 77.1999969482422 | 77.1999969482422 | 77.1999969482422 | 77.4000015258789 | 77.4000015258789 | 77.4000015258789 | 77.5 | 77.5 | 77.5 | 77.5 | 77.5 | 77.5999984741211 | 77.5 | 77.5
Guinea-Bissau | GNB | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 68.9000015258789 | 68.6999969482422 | 68.8000030517578 | 68.9000015258789 | 69 | 69 | 68.6999969482422 | 68.6999969482422 | 70.6999969482422 | 70.6999969482422 | 70.6999969482422 | 71 | 71.5999984741211 | 72 | 72.1999969482422 | 72.3000030517578 | 72.5 | 72.6999969482422 | 72.8000030517578 | 73 | 73.0999984741211 | 73.1999969482422 | 73.1999969482422
Equatorial Guinea | GNQ | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 86.0999984741211 | 86.4000015258789 | 86.6999969482422 | 86.9000015258789 | 87.0999984741211 | 87.0999984741211 | 87.1999969482422 | 87.1999969482422 | 87.0999984741211 | 87.0999984741211 | 87 | 87 | 86.9000015258789 | 86.8000030517578 | 86.6999969482422 | 86.5999984741211 | 86.5999984741211 | 86.5999984741211 | 86.5999984741211 | 86.5999984741211 | 86.5999984741211 | 86.5999984741211 | 86.5999984741211
Greece | GRC | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 51 | 49.5999984741211 | 50.2000007629395 | 50.2000007629395 | 50.5999984741211 | 51 | 51.7000007629395 | 51.5 | 52.4000015258789 | 52.5999984741211 | 52.5999984741211 | 51.7000007629395 | 52.0999984741211 | 52.5999984741211 | 53.2000007629395 | 53.2000007629395 | 53.5 | 53.4000015258789 | 53.4000015258789 | 53.9000015258789 | 54 | 53.4000015258789 | 53.2000007629395
Grenada | GRD | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
Greenland | GRL | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
Guatemala | GTM | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 64.1999969482422 | 64.0999984741211 | 63.9000015258789 | 63.7999992370605 | 63.5999984741211 | 63.5 | 63.4000015258789 | 63.2999992370605 | 63.2000007629395 | 63.0999984741211 | 63.0999984741211 | 63.0999984741211 | 63.0999984741211 | 63.0999984741211 | 63.2000007629395 | 65.0999984741211 | 66.8000030517578 | 66.8000030517578 | 67 | 67.1999969482422 | 67.4000015258789 | 67.5 | 67.5999984741211
Guam | GUM | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 65.4000015258789 | 65.5 | 65.5999984741211 | 65.6999969482422 | 65.6999969482422 | 65.5999984741211 | 65.5 | 65.4000015258789 | 65.1999969482422 | 65 | 64.8000030517578 | 64.5999984741211 | 62.7000007629395 | 62.7000007629395 | 62.7000007629395 | 63 | 64.1999969482422 | 61.9000015258789 | 62.0999984741211 | 62.2000007629395 | 62.5 | 62.7999992370605 | 62.7000007629395
Guyana | GUY | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 59.0999984741211 | 59.2000007629395 | 59.4000015258789 | 59.5 | 59.4000015258789 | 59.5 | 59.5999984741211 | 59.7000007629395 | 60 | 60.2000007629395 | 60.2999992370605 | 60.4000015258789 | 60.4000015258789 | 60.2999992370605 | 60.2000007629395 | 60.2999992370605 | 60.4000015258789 | 60.5 | 60.7999992370605 | 61 | 61.2000007629395 | 61.2999992370605 | 61.4000015258789
High income | HIC | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 61.42097017142164 | 61.44775740510669 | 61.16660419398973 | 60.72842891334298 | 60.45522158531394 | 60.381308667383 | 60.35293848919663 | 60.25416169661062 | 60.11204333487201 | 60.55136609616247 | 60.57311294286045 | 60.25778302484612 | 60.25477219238206 | 60.31786540864529 | 60.41598531788626 | 60.61016310060633 | 60.77875525811442 | 60.95597695738086 | 61.11097661512422 | 60.89602986994497 | 60.71296311649687 | 60.5945778875869 | 60.7063518193687
Hong Kong SAR, China | HKG | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 63.5999984741211 | 63.7999992370605 | 62.7999992370605 | 62.2999992370605 | 62 | 62 | 61.5999984741211 | 61.2000007629395 | 61 | 60.7999992370605 | 60.7000007629395 | 60.7999992370605 | 61.2000007629395 | 61 | 61 | 60.9000015258789 | 60.9000015258789 | 60.9000015258789 | 60.5999984741211 | 60.5 | 59.5 | 59.2999992370605 | 59.0999984741211
Honduras | HND | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 59.5 | 59.5 | 60.2000007629395 | 60.4000015258789 | 60.5999984741211 | 60.7999992370605 | 63.7000007629395 | 64 | 65.0999984741211 | 67.1999969482422 | 65.9000015258789 | 64.3000030517578 | 62 | 61.5999984741211 | 61.2000007629395 | 61.2999992370605 | 61.4000015258789 | 61.5999984741211 | 61.7000007629395 | 62 | 62.2000007629395 | 62.2999992370605 | 62.5
Heavily indebted poor countries (HIPC) | HPC | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 72.96964646444022 | 72.94057263011928 | 72.89884981128269 | 72.81215024207013 | 72.81143222704279 | 72.81644005802394 | 72.85910530391601 | 72.89359085248309 | 72.99704900700942 | 73.11330792251395 | 73.26383926779437 | 73.35113405294298 | 73.44026681932486 | 73.50122472971893 | 73.54514098583988 | 73.63616202979564 | 73.69752147934734 | 73.78580488980177 | 73.8802505582463 | 73.97223633431175 | 74.07616179043215 | 74.07541865329333 | 74.10077787424846
Croatia | HRV | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 57.0999984741211 | 57.2999992370605 | 56.7999992370605 | 56.2999992370605 | 55.9000015258789 | 55.4000015258789 | 55 | 54.5999984741211 | 54.2999992370605 | 54 | 53.5999984741211 | 53 | 52.4000015258789 | 52.5 | 53.5999984741211 | 53.4000015258789 | 52.9000015258789 | 53.0999984741211 | 53 | 52.7000007629395 | 52.0999984741211 | 51.5999984741211 | 51.2999992370605
Haiti | HTI | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 66.8000030517578 | 66.5 | 66.1999969482422 | 65.9000015258789 | 65.5 | 65.0999984741211 | 64.5999984741211 | 64.0999984741211 | 63.5999984741211 | 63.2000007629395 | 62.7999992370605 | 62.9000015258789 | 63 | 63.2999992370605 | 63.5 | 63.7999992370605 | 64 | 64.3000030517578 | 64.5 | 64.8000030517578 | 65.1999969482422 | 65.4000015258789 | 65.5999984741211
Hungary | HUN | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 54.7999992370605 | 54.2000007629395 | 54.4000015258789 | 52.0999984741211 | 50.2999992370605 | 49.2999992370605 | 48.7000007629395 | 47.9000015258789 | 47.7999992370605 | 48.9000015258789 | 49.2000007629395 | 48.9000015258789 | 48.9000015258789 | 49.7000007629395 | 49.5999984741211 | 50.0999984741211 | 50.5 | 50.2999992370605 | 50 | 50 | 50.5 | 50.9000015258789 | 51.7999992370605
Indonesia | IDN | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 65.5 | 65.3000030517578 | 65 | 65.8000030517578 | 66.1999969482422 | 67 | 67.5999984741211 | 66 | 65.4000015258789 | 67.5999984741211 | 67.4000015258789 | 67.1999969482422 | 67 | 67.1999969482422 | 67.4000015258789 | 67.6999969482422 | 67.6999969482422 | 67.6999969482422 | 67.6999969482422 | 67.9000015258789 | 67.8000030517578 | 67.8000030517578 | 67.8000030517578
Isle of Man | IMN | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
India | IND | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 60.9000015258789 | 60.9000015258789 | 60.9000015258789 | 60.9000015258789 | 60.7999992370605 | 60.5 | 60.2999992370605 | 60 | 59.7000007629395 | 59.4000015258789 | 59.0999984741211 | 59.5 | 59.7999992370605 | 60.0999984741211 | 60.4000015258789 | 60.7999992370605 | 59.7000007629395 | 58.5999984741211 | 57.5 | 56.5 | 55.4000015258789 | 55.5 | 55.5
Not classified | INX | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
Ireland | IRL | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 52.7999992370605 | 53.0999984741211 | 52.0999984741211 | 52.5999984741211 | 53.4000015258789 | 53.5999984741211 | 54.5 | 54.9000015258789 | 56.5999984741211 | 58.0999984741211 | 59 | 59.2000007629395 | 59.5999984741211 | 59.7999992370605 | 60.2999992370605 | 62.2000007629395 | 63 | 63.5999984741211 | 63.0999984741211 | 62 | 60.9000015258789 | 60.4000015258789 | 60.2000007629395
Iran, Islamic Rep. | IRN | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 45.7999992370605 | 45.7000007629395 | 45.2000007629395 | 44.7000007629395 | 44.2000007629395 | 43.7000007629395 | 43.0999984741211 | 43.2999992370605 | 43.5 | 43.7999992370605 | 44.2000007629395 | 44.7000007629395 | 45.4000015258789 | 46.0999984741211 | 46.7999992370605 | 47.5999984741211 | 46.5 | 45.5 | 43.2999992370605 | 43.7000007629395 | 44.0999984741211 | 44.5 | 44.7999992370605
Iraq | IRQ | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 40.9000015258789 | 40.9000015258789 | 40.9000015258789 | 41 | 41 | 41.0999984741211 | 41.0999984741211 | 41.0999984741211 | 41.2000007629395 | 41.2000007629395 | 41.2000007629395 | 41.2000007629395 | 41.2000007629395 | 41.2000007629395 | 41.2000007629395 | 41.4000015258789 | 41.5 | 41.7000007629395 | 41.7000007629395 | 41.7999992370605 | 42 | 42.0999984741211 | 42.2000007629395
Iceland | ISL | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 74.8000030517578 | 75 | 75.8000030517578 | 74.8000030517578 | 74.6999969482422 | 76.0999984741211 | 74.9000015258789 | 74.5 | 75.6999969482422 | 76.5 | 76.9000015258789 | 76.8000030517578 | 75.9000015258789 | 75.8000030517578 | 74.4000015258789 | 75.5 | 76.5 | 76.5 | 75.8000030517578 | 74.1999969482422 | 74.5 | 73.8000030517578 | 74
Israel | ISR | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 51.7999992370605 | 51.9000015258789 | 52.0999984741211 | 53 | 53.5999984741211 | 54 | 53.5 | 53.2000007629395 | 53.2999992370605 | 53.7999992370605 | 54.2000007629395 | 54.2999992370605 | 54.0999984741211 | 54.4000015258789 | 55 | 55.2999992370605 | 55.7000007629395 | 56.4000015258789 | 56.5999984741211 | 56.9000015258789 | 57.2999992370605 | 57.4000015258789 | 63.7000007629395
Italy | ITA | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 50.2000007629395 | 50.2999992370605 | 48.5 | 48.0999984741211 | 47.5 | 47.0999984741211 | 47.2000007629395 | 47.2000007629395 | 47.4000015258789 | 47.7000007629395 | 47.7000007629395 | 47.9000015258789 | 48.4000015258789 | 48.7999992370605 | 49.5 | 49 | 49 | 48.7999992370605 | 49.0999984741211 | 48.5 | 48.2000007629395 | 48.0999984741211 | 49
Jamaica | JAM | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 73.9000015258789 | 74 | 74.0999984741211 | 74.1999969482422 | 74.1999969482422 | 73.1999969482422 | 72.0999984741211 | 70.8000030517578 | 69.5 | 68.9000015258789 | 68.3000030517578 | 67.6999969482422 | 67.1999969482422 | 66.6999969482422 | 66.4000015258789 | 66.5999984741211 | 66.6999969482422 | 66.8000030517578 | 66.8000030517578 | 64.6999969482422 | 63.4000015258789 | 63.0999984741211 | 63.2999992370605
Jordan | JOR | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 39.2000007629395 | 40.2999992370605 | 40.5999984741211 | 41.4000015258789 | 41.9000015258789 | 42.2000007629395 | 42.4000015258789 | 42.4000015258789 | 42.2999992370605 | 42.0999984741211 | 41.9000015258789 | 41.7999992370605 | 41.2999992370605 | 40.5999984741211 | 40.2000007629395 | 40.5999984741211 | 40.5 | 42 | 41.9000015258789 | 42.9000015258789 | 42.2999992370605 | 41.9000015258789 | 41.2999992370605
Japan | JPN | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 63.2000007629395 | 63.7999992370605 | 64.0999984741211 | 63.9000015258789 | 63.7000007629395 | 63.5 | 63.5999984741211 | 63.7000007629395 | 63.4000015258789 | 62.9000015258789 | 62.4000015258789 | 62.0999984741211 | 61.4000015258789 | 61 | 60.5999984741211 | 60.5 | 60.4000015258789 | 60.5 | 60.2999992370605 | 60 | 60.0999984741211 | 59.0999984741211 | 58.9000015258789
Kazakhstan | KAZ | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 69.8000030517578 | 69.6999969482422 | 69.5999984741211 | 69.5 | 69.4000015258789 | 69.4000015258789 | 69.5 | 69.6999969482422 | 69.8000030517578 | 70 | 70.0999984741211 | 70.3000030517578 | 70.3000030517578 | 69.9000015258789 | 69.3000030517578 | 69.5999984741211 | 69.9000015258789 | 70.4000015258789 | 70.8000030517578 | 71.1999969482422 | 71.5 | 71.9000015258789 | 72.1999969482422
Kenya | [NAME] | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 75.1999969482422 | 74.5 | 73.8000030517578 | 73.0999984741211 | 72.4000015258789 | 71.6999969482422 | 71 | 70.3000030517578 | 69.5999984741211 | 68.9000015258789 | 68.1999969482422 | 67.5 | 66.8000030517578 | 66.1999969482422 | 65.5999984741211 | 65.0999984741211 | 65.3000030517578 | 65.5999984741211 | 65.9000015258789 | 66.1999969482422 | 66.5 | 66.8000030517578 | 67.0999984741211
Kyrgyz Republic | KGZ | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 66 | 66 | 65.9000015258789 | 65.9000015258789 | 65.8000030517578 | 65.6999969482422 | 65.5999984741211 | 65.5 | 65.3000030517578 | 65.0999984741211 | 64.9000015258789 | 64.5999984741211 | 64.3000030517578 | 64 | 63.5999984741211 | 64.6999969482422 | 65.5999984741211 | 65.8000030517578 | 65.9000015258789 | 66.0999984741211 | 66.4000015258789 | 66.6999969482422 | 67.0999984741211
Cambodia | KHM | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 80.0999984741211 | 80.0999984741211 | 80.3000030517578 | 80.5999984741211 | 80.5 | 80.3000030517578 | 79.6999969482422 | 79.6999969482422 | 79.8000030517578 | 79.1999969482422 | 78.5 | 78.8000030517578 | 79.1999969482422 | 79.5999984741211 | 80 | 80.6999969482422 | 81.3000030517578 | 81.9000015258789 | 82.4000015258789 | 82.4000015258789 | 82.5 | 82.5 | 82.5
Kiribati | KIR | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
St. Kitts and Nevis | KNA | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
Korea, Rep. | KOR | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 60.0999984741211 | 60.4000015258789 | 60.5999984741211 | 60.5 | 61.2999992370605 | 61.7000007629395 | 62.0999984741211 | 62.5 | 60.7000007629395 | 60.5999984741211 | 61 | 61.0999984741211 | 61.5999984741211 | 61 | 61.5999984741211 | 61.5 | 61.4000015258789 | 61.4000015258789 | 60.9000015258789 | 60.2000007629395 | 60.2999992370605 | 60.5 | 60.7999992370605
Kosovo | KSV | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
Kuwait | KWT | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 58.5999984741211 | 59.4000015258789 | 60.9000015258789 | 62.9000015258789 | 65 | 66.5999984741211 | 67.5 | 67.8000030517578 | 67.6999969482422 | 67.5999984741211 | 67.5999984741211 | 67.8000030517578 | 68 | 68.1999969482422 | 68.0999984741211 | 67.8000030517578 | 67.5999984741211 | 67.4000015258789 | 67.1999969482422 | 67.5 | 67.5999984741211 | 67.8000030517578 | 68.0999984741211
Latin America & Caribbean (developing only) | LAC | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 61.21055846504964 | 62.00785437859322 | 62.99211908857126 | 63.06735444459167 | 63.30253958659018 | 63.69271608131701 | 63.25820610322501 | 64.08780534982431 | 64.28585123332833 | 64.62737312971389 | 64.41357553279154 | 64.64725399913324 | 65.00703589084112 | 64.89265102642936 | 65.53646946042242 | 65.77963129092133 | 65.81200457526516 | 65.83149625243192 | 66.04603408769978 | 66.11264950159696 | 66.36007267688872 | 66.20049552987443 | 66.50764663445382
Lao PDR | LAO | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 81.4000015258789 | 81.4000015258789 | 81.4000015258789 | 81.3000030517578 | 81.1999969482422 | 81 | 80.8000030517578 | 80.5999984741211 | 80.4000015258789 | 80.1999969482422 | 79.9000015258789 | 79.6999969482422 | 79.4000015258789 | 79.0999984741211 | 78.8000030517578 | 78.5 | 78.3000030517578 | 78 | 77.8000030517578 | 77.6999969482422 | 77.5 | 77.5999984741211 | 77.5999984741211
Lebanon | LBN | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 42.4000015258789 | 42.9000015258789 | 43.0999984741211 | 43.2999992370605 | 43.4000015258789 | 43.5 | 43.5 | 43.7999992370605 | 43.7000007629395 | 44 | 44.2999992370605 | 44.7000007629395 | 45.0999984741211 | 45.5999984741211 | 45.7000007629395 | 46.0999984741211 | 46.4000015258789 | 46.5 | 46.5 | 46.5 | 46.7000007629395 | 46.9000015258789 | 47.2000007629395
Liberia | LBR | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 60.2999992370605 | 60.2999992370605 | 60.2999992370605 | 60.2000007629395 | 60.2000007629395 | 60.2000007629395 | 60.2000007629395 | 60.2000007629395 | 60.2000007629395 | 60.2000007629395 | 60.2999992370605 | 60.2999992370605 | 60.4000015258789 | 60.5 | 60.5999984741211 | 60.7000007629395 | 60.7999992370605 | 60.9000015258789 | 61 | 61.0999984741211 | 61.2000007629395 | 61.2999992370605 | 61.4000015258789
Libya | LBY | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 48.2000007629395 | 48.2000007629395 | 48.5 | 48.7000007629395 | 49 | 49.4000015258789 | 49.7999992370605 | 50.2999992370605 | 50.7999992370605 | 51.2000007629395 | 51.5999984741211 | 52 | 52.4000015258789 | 52.5999984741211 | 52.7999992370605 | 53 | 53.0999984741211 | 53.2999992370605 | 53.4000015258789 | 53.4000015258789 | 53.2999992370605 | 53.2999992370605 | 53.0999984741211
St. Lucia | LCA | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 66.4000015258789 | 66.5999984741211 | 66.5999984741211 | 66.9000015258789 | 67.1999969482422 | 67.5 | 67.5999984741211 | 67.8000030517578 | 67.9000015258789 | 68.0999984741211 | 68.5999984741211 | 69.3000030517578 | 69.8000030517578 | 70.3000030517578 | 70.1999969482422 | 70.0999984741211 | 68.8000030517578 | 68.4000015258789 | 68.5 | 68.8000030517578 | 69 | 69 | 69.0999984741211
Latin America & Caribbean (all income levels) | LCN | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 60.82346315059876 | 61.58046138450694 | 62.56832058833954 | 62.69923297188125 | 62.92933857042904 | 63.27525782910597 | 62.859113219345 | 63.66486551650134 | 63.85848075528802 | 64.18196464358367 | 63.95328826734722 | 64.16920821099048 | 64.49793863690597 | 64.40764085297789 | 65.04386713888051 | 65.30791361869785 | 65.36596433537969 | 65.40043419110386 | 65.64283325340139 | 65.7086971290762 | 66.00993710760035 | 65.89524037485137 | 66.19069468054448
Latin America and the Caribbean | LCR | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
Least developed countries: UN classification | LDC | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 74.55098964912807 | 74.49634070434186 | 74.3440317374188 | 74.14596490836773 | 73.99016505712834 | 73.85649835475523 | 73.6874064449983 | 73.5573702306087 | 73.50751808908365 | 73.41821397078301 | 73.38470071392085 | 73.4773590939566 | 73.57528581575912 | 73.6347673732144 | 73.68183083429138 | 73.76070855531543 | 73.81685891756989 | 73.8578814594619 | 73.90076594884746 | 73.96256354093893 | 74.01887745761545 | 74.02858488975596 | 74.04435550590777
Low income | LIC | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 76.44070055150905 | 76.40416811562268 | 76.27001582003534 | 76.07985232288854 | 75.87355902765512 | 75.69414242150054 | 75.4814649748236 | 75.30748757409575 | 75.1883144858493 | 75.01608101348636 | 75.00106308468912 | 75.11027450521456 | 75.22232922235706 | 75.29275216359913 | 75.34270716584797 | 75.3965149362643 | 75.45736344934551 | 75.50778551925862 | 75.56051425741023 | 75.63001155961389 | 75.6860814012134 | 75.70398610922481 | 75.72482676903392
[NAME] | LIE | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
[NAME] | LKA | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 57.4000015258789 | 57 | 56.5999984741211 | 56.7999992370605 | 56.5999984741211 | 55.5999984741211 | 55.7000007629395 | 55.9000015258789 | 59.4000015258789 | 57.7999992370605 | 56.9000015258789 | 56.5 | 56.0999984741211 | 55.7000007629395 | 54.7000007629395 | 55 | 58 | 56.4000015258789 | 56.2000007629395 | 55.9000015258789 | 55 | 55 | 55
Lower middle income | LMC | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 61.21157872321655 | 61.06884883214586 | 60.99034171736712 | 61.02708873747815 | 61.05775894469518 | 60.89940114657992 | 60.84760666197566 | 60.51579769094808 | 60.30565949646354 | 60.42046999356515 | 60.12946739133361 | 60.29291357903831 | 60.2977112913428 | 60.50357396249511 | 60.67065716149813 | 60.93238228435859 | 60.38380829118611 | 59.7879407912975 | 59.2478012207789 | 58.80022724699312 | 58.29453346049705 | 58.41575451257006 | 58.46641914673631
Low & middle income | LMY | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 67.93332232820893 | 67.86745660040104 | 67.84934936721635 | 67.73029714773924 | 67.6800708428143 | 67.5764583766699 | 67.401477034851 | 67.24241407636131 | 67.03155646755248 | 66.94282725204546 | 66.64727144542617 | 66.51804536059045 | 66.30401646971276 | 66.11523965003492 | 65.99833968105807 | 65.94291042373175 | 65.53082442502073 | 65.13411187305192 | 64.76936588338427 | 64.4662671201448 | 64.13973473987217 | 64.26945184509039 | 64.3586733494319
[NAME] | LSO | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 74.5999984741211 | 74.6999969482422 | 74.5999984741211 | 74.5999984741211 | 74.5999984741211 | 74.6999969482422 | 74.6999969482422 | 74.6999969482422 | 74.6999969482422 | 74.8000030517578 | 73.6999969482422 | 72.6999969482422 | 71.5999984741211 | 70.5 | 69.4000015258789 | 68.4000015258789 | 67.3000030517578 | 66.4000015258789 | 65.5 | 65.5 | 65.5999984741211 | 65.6999969482422 | 65.9000015258789
Lithuania | LTU | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 66.4000015258789 | 65.8000030517578 | 65.1999969482422 | 64.5 | 63.7999992370605 | 63.0999984741211 | 62.2999992370605 | 61.4000015258789 | 60.7999992370605 | 61.0999984741211 | 60.0999984741211 | 58.7999992370605 | 58.2000007629395 | 60.4000015258789 | 57.5999984741211 | 56.5999984741211 | 56.0999984741211 | 56.5999984741211 | 57.0999984741211 | 58.2999992370605 | 58.7999992370605 | 59.9000015258789 | 60.5999984741211
Luxembourg | LUX | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 50.7000007629395 | 51.9000015258789 | 52.7000007629395 | 52.2000007629395 | 52.0999984741211 | 50.2999992370605 | 50.9000015258789 | 51.0999984741211 | 51.2999992370605 | 52.0999984741211 | 53.4000015258789 | 52.7999992370605 | 53.7999992370605 | 53.0999984741211 | 54 | 54.7999992370605 | 55.4000015258789 | 55.0999984741211 | 55.2000007629395 | 57.4000015258789 | 57 | 56.7999992370605 | 57.7000007629395
Latvia | LVA | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 69 | 67.5999984741211 | 66.0999984741211 | 64.5 | 62.7999992370605 | 61 | 59.2000007629395 | 59.0999984741211 | 58.9000015258789 | 57.5999984741211 | 56.0999984741211 | 56.7000007629395 | 58.5999984741211 | 57.7000007629395 | 57.9000015258789 | 57.7999992370605 | 59.4000015258789 | 60.5999984741211 | 61.9000015258789 | 60.5999984741211 | 59 | 58.7999992370605 | 60.2000007629395
Macao SAR, China | MAC | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 57.5999984741211 | 57.7999992370605 | 58.2999992370605 | 58.4000015258789 | 58.2999992370605 | 59.9000015258789 | 67.5 | 66.6999969482422 | 66.1999969482422 | 65.5999984741211 | 65 | 66.5999984741211 | 64.8000030517578 | 63.5999984741211 | 64.9000015258789 | 66.1999969482422 | 68 | 70.1999969482422 | 71.0999984741211 | 71.0999984741211 | 71.1999969482422 | 71.3000030517578 | 71.4000015258789
St. Martin (French part) | MAF | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
Morocco | MAR | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 52.9000015258789 | 52.7999992370605 | 53.2000007629395 | 53.5 | 53.4000015258789 | 53.7999992370605 | 53.7999992370605 | 54.2000007629395 | 54.2999992370605 | 54.5999984741211 | 53.5999984741211 | 51.5 | 50.9000015258789 | 52.0999984741211 | 52.7999992370605 | 52.2999992370605 | 51.5999984741211 | 51.4000015258789 | 51.0999984741211 | 50.5 | 50 | 50.2000007629395 | 50.2999992370605
Mexico and Central America | MCA | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
Monaco | MCO | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
Moldova | MDA | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 67.1999969482422 | 66.6999969482422 | 66.1999969482422 | 65.5999984741211 | 64.9000015258789 | 64.1999969482422 | 63.5 | 62.7000007629395 | 61.7999992370605 | 60.9000015258789 | 59.9000015258789 | 57.7000007629395 | 57 | 51.2000007629395 | 49.4000015258789 | 48.7000007629395 | 45.5999984741211 | 44.4000015258789 | 43.9000015258789 | 42 | 41 | 41.5999984741211 | 40
Madagascar | MDG | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 86.1999969482422 | 86.1999969482422 | 86.1999969482422 | 86.1999969482422 | 86.1999969482422 | 86.3000030517578 | 86.4000015258789 | 86.5 | 86.5999984741211 | 86.6999969482422 | 86.8000030517578 | 86.8000030517578 | 86.8000030517578 | 86.6999969482422 | 86.6999969482422 | 86.5999984741211 | 87.1999969482422 | 87.6999969482422 | 88.1999969482422 | 88.6999969482422 | 89 | 88.9000015258789 | 88.6999969482422
Maldives | MDV | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 49.9000015258789 | 50.0999984741211 | 50.2999992370605 | 50.5999984741211 | 51 | 51.4000015258789 | 52 | 52.5999984741211 | 53.2999992370605 | 53.9000015258789 | 54.7000007629395 | 56.0999984741211 | 57.5 | 59.0999984741211 | 60.7000007629395 | 62.4000015258789 | 64.1999969482422 | 64.5 | 64.9000015258789 | 65.3000030517578 | 65.6999969482422 | 66.0999984741211 | 66.5
Middle East & North Africa (all income levels) | MEA | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 48.11341103803943 | 47.62560653829061 | 47.31551369690752 | 47.48848850185983 | 47.68535200265269 | 47.58584709524798 | 47.30993375187551 | 47.13786058231975 | 46.94314787811467 | 47.21935131761095 | 47.10189228405833 | 46.83308349610761 | 46.77078571870459 | 47.24835810967384 | 47.71225276285956 | 48.08880188919756 | 47.68332926664249 | 47.87247727046027 | 47.56169135775798 | 47.73085347774246 | 48.04834607650787 | 48.35396604690445 | 48.74969549145059
Mexico | MEX | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 58.5999984741211 | 58.5999984741211 | 59.2000007629395 | 59.7999992370605 | 59.5 | 59.4000015258789 | 59.4000015258789 | 60.7999992370605 | 60.5999984741211 | 59.7999992370605 | 59.5999984741211 | 59 | 59.0999984741211 | 58.5 | 59.9000015258789 | 59.7999992370605 | 60.7000007629395 | 60.9000015258789 | 61.2000007629395 | 60.0999984741211 | 61.0999984741211 | 60.2999992370605 | 61.5999984741211
Marshall Islands | MHL | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
Middle income | MIC | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 66.93050407591146 | 66.85279965663034 | 66.83898596695731 | 66.71864355153467 | 66.6779740172663 | 66.57507903278564 | 66.3971581049254 | 66.23322823135726 | 66.00473217733676 | 65.9208133156162 | 65.58406522120356 | 65.41863890203282 | 65.15707165910379 | 64.92893653039705 | 64.78391125720508 | 64.70690311025807 | 64.22429238610562 | 63.75845389038832 | 63.32639067393634 | 62.95950280232534 | 62.56484001901817 | 62.69137048752203 | 62.76956876190713
Macedonia, FYR | MKD | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 54.7999992370605 | 54.9000015258789 | 55 | 55.0999984741211 | 54.9000015258789 | 54.7000007629395 | 54.5999984741211 | 54.2000007629395 | 53.7999992370605 | 53.4000015258789 | 53.5 | 53.5 | 53.5 | 53.7000007629395 | 51.5999984741211 | 53 | 54.0999984741211 | 54.5 | 55.0999984741211 | 55.4000015258789 | 55.5999984741211 | 55.4000015258789 | 55.0999984741211
[NAME] | MLI | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 50.7000007629395 | 50.5999984741211 | 50.5 | 50.5 | 50.5999984741211 | 50.5999984741211 | 50.7000007629395 | 50.7000007629395 | 50.7999992370605 | 50.7999992370605 | 51 | 51 | 51.0999984741211 | 51.2999992370605 | 51.4000015258789 | 53.9000015258789 | 56.2999992370605 | 58.7999992370605 | 61.0999984741211 | 63.5 | 65.6999969482422 | 65.9000015258789 | 65.9000015258789
Malta | MLT | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 52.0999984741211 | 52.2000007629395 | 51.9000015258789 | 51.5999984741211 | 51.0999984741211 | 51 | 51 | 50.7999992370605 | 50.9000015258789 | 51 | 50.7999992370605 | 51.5 | 50.7999992370605 | 50.2999992370605 | 48.7999992370605 | 49.2000007629395 | 49.0999984741211 | 49.7999992370605 | 50 | 50.0999984741211 | 50.7999992370605 | 51.4000015258789 | 52.2000007629395
Myanmar | MMR | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 75.5999984741211 | 75.6999969482422 | 75.8000030517578 | 75.9000015258789 | 76 | 76.0999984741211 | 76.1999969482422 | 76.3000030517578 | 76.4000015258789 | 76.5 | 76.6999969482422 | 76.9000015258789 | 77.0999984741211 | 77.3000030517578 | 77.5 | 77.6999969482422 | 77.9000015258789 | 78.0999984741211 | 78.1999969482422 | 78.4000015258789 | 78.5 | 78.5 | 78.5999984741211
Middle East & North Africa (developing only) | MNA | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 47.05624507321546 | 46.47357415084884 | 46.19167205119323 | 46.35530398393151 | 46.56810874444925 | 46.33805865045166 | 46.10637848009423 | 46.01678296203357 | 45.8903105788187 | 46.26780087667811 | 46.08148235736872 | 45.79110734337736 | 45.69345998713469 | 46.15605764233545 | 46.57063771874745 | 46.86521677229231 | 46.23018681086766 | 46.25196821004873 | 45.71538286901797 | 45.74013554575193 | 45.9191177291527 | 46.14122115132652 | 46.33498418694783
Montenegro | MNE | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 53.7000007629395 | 54 | 54.2000007629395 | 54.0999984741211 | 53.7000007629395 | 53.2000007629395 | 52.5 | 52 | 51.5999984741211 | 51.7999992370605 | 51.5 | 51.4000015258789 | 51.4000015258789 | 51.2999992370605 | 51.2000007629395 | 51.0999984741211 | 51.5 | 52.0999984741211 | 52.5 | 51.7000007629395 | 50.7999992370605 | 48.9000015258789 | 50
Mongolia | MNG | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 57.4000015258789 | 58.4000015258789 | 59.2999992370605 | 59.7999992370605 | 60 | 60 | 60.2000007629395 | 60.4000015258789 | 60.5 | 60.5999984741211 | 60.7000007629395 | 60.7000007629395 | 60.5 | 60.2000007629395 | 60.2000007629395 | 60.2999992370605 | 60.4000015258789 | 60.5999984741211 | 59 | 61.4000015258789 | 61.2999992370605 | 61.7999992370605 | 62.2999992370605
Northern Mariana Islands | MNP | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
Mozambique | MOZ | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 83.1999969482422 | 83.1999969482422 | 83.4000015258789 | 83.5999984741211 | 83.8000030517578 | 83.9000015258789 | 83.9000015258789 | 83.9000015258789 | 84.5999984741211 | 85.0999984741211 | 85.4000015258789 | 85.5999984741211 | 85.6999969482422 | 85.8000030517578 | 85.5999984741211 | 85.5 | 85.3000030517578 | 85.1999969482422 | 85 | 84.8000030517578 | 84.6999969482422 | 84.5 | 84.4000015258789
Mauritania | MRT | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 47.5 | 47.5999984741211 | 47.9000015258789 | 47.9000015258789 | 48.4000015258789 | 48.4000015258789 | 48.5999984741211 | 49.2000007629395 | 49.5999984741211 | 49.7999992370605 | 50.2999992370605 | 50.7000007629395 | 51.2000007629395 | 51.5 | 51.7999992370605 | 52.0999984741211 | 51.7000007629395 | 52.5 | 52.7999992370605 | 53.4000015258789 | 53.5999984741211 | 53.7000007629395 | 53.7999992370605
[NAME] | MUS | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 59 | 59.0999984741211 | 59.2999992370605 | 59.5999984741211 | 59.7999992370605 | 59.9000015258789 | 59.9000015258789 | 59.9000015258789 | 59.9000015258789 | 59.9000015258789 | 60 | 60 | 59.5 | 58.9000015258789 | 58.2999992370605 | 58.7000007629395 | 58.5 | 58 | 58 | 58 | 58.7000007629395 | 58.5999984741211 | 58.5999984741211
[NAME] | MWI | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 77.8000030517578 | 77.6999969482422 | 77.5999984741211 | 77.5 | 77.3000030517578 | 77.3000030517578 | 77.3000030517578 | 77.4000015258789 | 77.5 | 78.4000015258789 | 79.1999969482422 | 80 | 80.6999969482422 | 81.4000015258789 | 82.0999984741211 | 82.6999969482422 | 83.0999984741211 | 82.5 | 83.4000015258789 | 83.1999969482422 | 83.0999984741211 | 83.0999984741211 | 83
Malaysia | MYS | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 61.5999984741211 | 61.7000007629395 | 61.7000007629395 | 61.7000007629395 | 61.7000007629395 | 61.7000007629395 | 61.7999992370605 | 61.7999992370605 | 61.7999992370605 | 61.7999992370605 | 62.7999992370605 | 62.4000015258789 | 62 | 61.5999984741211 | 61.2000007629395 | 60.7999992370605 | 60.4000015258789 | 60 | 59.5999984741211 | 59.2999992370605 | 59.0999984741211 | 59.2000007629395 | 59.2999992370605
North America | NAC | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 65.63168965885372 | 65.13187027594675 | 65.3000030517578 | 65.17973778676 | 65.51906525926826 | 65.56874450566308 | 65.72825186971083 | 66.01810200351922 | 66.13848747346819 | 66.17901517270285 | 66.19922669943762 | 65.93943267553757 | 65.67074049550112 | 65.38237276539292 | 65.11320866701533 | 65.1627656101126 | 65.25258785301223 | 65.1241689582703 | 65.14516506054727 | 64.55621887940285 | 63.81861154383906 | 63.35015076286356 | 63.25129906448221
Namibia | NAM | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 55.9000015258789 | 56.0999984741211 | 56.2999992370605 | 56.5 | 56.7000007629395 | 56 | 55.5 | 55 | 55.5 | 56 | 56.5 | 57.5999984741211 | 58.7000007629395 | 59.5999984741211 | 60.5 | 61.4000015258789 | 62.0999984741211 | 62.9000015258789 | 63.5999984741211 | 62.4000015258789 | 61.2000007629395 | 59.9000015258789 | 58.5
New Caledonia | NCL | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 59.2999992370605 | 59.4000015258789 | 59.7000007629395 | 60 | 60.0999984741211 | 60.2000007629395 | 60.2000007629395 | 60 | 59.9000015258789 | 59.7000007629395 | 59.5 | 59.4000015258789 | 59.4000015258789 | 59.2999992370605 | 59.0999984741211 | 58.7999992370605 | 58.4000015258789 | 57.9000015258789 | 57.4000015258789 | 57 | 56.7000007629395 | 56.5999984741211 | 56.5999984741211
[NAME] | NER | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 56.5999984741211 | 57.0999984741211 | 57.5999984741211 | 58.2000007629395 | 58.7000007629395 | 59.2999992370605 | 60 | 60.7000007629395 | 61.4000015258789 | 62 | 62.7000007629395 | 63.2000007629395 | 63.7000007629395 | 64 | 64.3000030517578 | 64.5 | 64.5999984741211 | 64.5999984741211 | 64.5999984741211 | 64.6999969482422 | 64.6999969482422 | 64.6999969482422 | 64.6999969482422
Nigeria | NGA | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 57 | 56.9000015258789 | 56.9000015258789 | 56.9000015258789 | 56.7999992370605 | 56.7000007629395 | 56.5999984741211 | 56.5 | 56.2999992370605 | 56.2000007629395 | 56 | 55.7000007629395 | 55.5 | 55.0999984741211 | 54.7999992370605 | 54.9000015258789 | 55.0999984741211 | 55.2000007629395 | 55.4000015258789 | 55.5 | 55.5999984741211 | 55.7999992370605 | 55.9000015258789
Nicaragua | NIC | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 58.7000007629395 | 58.5999984741211 | 58.5999984741211 | 58.5999984741211 | 58.5999984741211 | 58.5999984741211 | 58.7999992370605 | 59.0999984741211 | 59.2999992370605 | 59.5999984741211 | 59.9000015258789 | 60.2000007629395 | 60.5999984741211 | 60.9000015258789 | 61.2000007629395 | 61.5999984741211 | 61.9000015258789 | 62 | 62.2000007629395 | 62.4000015258789 | 62.7000007629395 | 62.9000015258789 | 63.0999984741211
Netherlands | NLD | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 56.2999992370605 | 56.7999992370605 | 57.2000007629395 | 57.4000015258789 | 58.0999984741211 | 58.5 | 59.0999984741211 | 60.2999992370605 | 61.0999984741211 | 61.9000015258789 | 62.9000015258789 | 63.5999984741211 | 64.3000030517578 | 64.3000030517578 | 64.5 | 64.5 | 64.8000030517578 | 65.6999969482422 | 66.1999969482422 | 66.3000030517578 | 64.5999984741211 | 64.3000030517578 | 64.6999969482422
High income: nonOECD | NOC | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 65.30998378860586 | 64.55220629840676 | 63.7232500249392 | 62.06948903682078 | 60.28316040886863 | 60.08804830024401 | 59.21983646134176 | 57.98412194485236 | 57.19887913132681 | 59.81133985762621 | 59.80016516813209 | 58.81363641509822 | 59.23141231065393 | 60.00521531969581 | 60.40525373322205 | 60.78751195586236 | 61.07389015360363 | 61.8373510817302 | 62.15669710104898 | 62.19704219210306 | 62.1313735260057 | 62.50001626232787 | 62.69896444536119
Norway | NOR | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 63.0999984741211 | 62.0999984741211 | 61.7999992370605 | 61.5 | 61.9000015258789 | 62.5999984741211 | 64.0999984741211 | 65.3000030517578 | 66.0999984741211 | 66 | 66.0999984741211 | 66 | 66.1999969482422 | 65.5 | 65.4000015258789 | 65.3000030517578 | 65.4000015258789 | 66.1999969482422 | 67.1999969482422 | 66.3000030517578 | 65.6999969482422 | 65.4000015258789 | 65.5
Nepal | NPL | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 85.0999984741211 | 85.0999984741211 | 85.1999969482422 | 85.3000030517578 | 85.4000015258789 | 85.5 | 85.5999984741211 | 85.8000030517578 | 86 | 86.1999969482422 | 85.9000015258789 | 85.5999984741211 | 85.4000015258789 | 85.0999984741211 | 84.8000030517578 | 84.5999984741211 | 84.3000030517578 | 84 | 83.6999969482422 | 83.5999984741211 | 83.5 | 83.4000015258789 | 83.4000015258789
New Zealand | NZL | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 63.7000007629395 | 63.4000015258789 | 63 | 62.9000015258789 | 63.7000007629395 | 64.3000030517578 | 65.0999984741211 | 64.9000015258789 | 64.5 | 64.5999984741211 | 64.8000030517578 | 65.5 | 66.1999969482422 | 66 | 66.5 | 67.3000030517578 | 67.9000015258789 | 68.0999984741211 | 68.0999984741211 | 67.9000015258789 | 67.6999969482422 | 68 | 67.8000030517578
High income: OECD | OEC | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 60.61487699466314 | 60.80639610433453 | 60.64410630901556 | 60.45453275103359 | 60.490356182721 | 60.44164292309444 | 60.58642094571226 | 60.72220580319721 | 60.71310941278751 | 60.70413539654978 | 60.73267246299567 | 60.55631153491463 | 60.46670898015363 | 60.38267372059691 | 60.41821287493612 | 60.57327566697151 | 60.71722410101817 | 60.77157649717579 | 60.89137760247097 | 60.6219353315025 | 60.4128260213321 | 60.1905787800803 | 60.2828271659224
OECD members | OED | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 60.26873408848694 | 60.41063718800048 | 60.26189538679935 | 59.93934903078259 | 60.03671998972825 | 59.94600656050572 | 60.04395916535095 | 60.19115162240237 | 60.16800028682779 | 60.10253350511928 | 59.97188858377163 | 59.75506539345698 | 59.66415834769928 | 59.48258206330069 | 59.56373561834842 | 59.69285443186281 | 59.87470832177889 | 59.93010284124642 | 60.08044212240804 | 59.81194446823866 | 59.76000657452712 | 59.55564466787119 | 59.74005487337524
Oman | OMN | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 55.2000007629395 | 56.4000015258789 | 57.7000007629395 | 58.9000015258789 | 59.7000007629395 | 59.7999992370605 | 59.4000015258789 | 58.4000015258789 | 57.2000007629395 | 56.2000007629395 | 55.2000007629395 | 54.5 | 54.4000015258789 | 54.5999984741211 | 54.9000015258789 | 55.2999992370605 | 55.7000007629395 | 56.2000007629395 | 56.9000015258789 | 58.2000007629395 | 59.7999992370605 | 61.5999984741211 | 63.5
Other small states | OSS | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 64.07196237527292 | 64.11833062757026 | 64.21665025170947 | 64.31015783954027 | 64.34912429549134 | 64.28716580711416 | 64.17435204861748 | 64.10449879756489 | 64.34166029769864 | 64.43435078854742 | 64.37416268359902 | 64.57999480685609 | 64.61331500500285 | 64.58627255954707 | 64.53583029384605 | 64.59226624501842 | 64.5913108643733 | 64.57883751914136 | 64.57878867641209 | 64.41429847700732 | 64.35472637598893 | 64.1859809153837 | 64.19099976332969
Pakistan | PAK | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 50.5999984741211 | 50.5 | 50.5 | 49.9000015258789 | 50.2999992370605 | 49.2000007629395 | 49.7000007629395 | 50.4000015258789 | 50.2999992370605 | 50.7000007629395 | 51 | 50.7999992370605 | 50.7000007629395 | 51.0999984741211 | 51.5999984741211 | 52.5999984741211 | 53.5999984741211 | 53.2000007629395 | 53.0999984741211 | 53.5999984741211 | 54 | 54.0999984741211 | 54.2000007629395
Panama | PAN | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 59.2000007629395 | 58.9000015258789 | 60 | 60.9000015258789 | 61.2999992370605 | 62.4000015258789 | 62.5 | 62.5 | 63.7999992370605 | 63.2999992370605 | 63.4000015258789 | 63.5 | 63.5999984741211 | 63.9000015258789 | 64.4000015258789 | 64.5999984741211 | 63.7999992370605 | 64.3000030517578 | 65.9000015258789 | 66.0999984741211 | 65.5 | 65.5 | 65.5
Peru | PER | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 61.7000007629395 | 60.2000007629395 | 61.7000007629395 | 63 | 64.3000030517578 | 66 | 68 | 69.9000015258789 | 70.9000015258789 | 72.1999969482422 | 70.1999969482422 | 73.1999969482422 | 71 | 68.9000015258789 | 68.5999984741211 | 68.3000030517578 | 69.8000030517578 | 74.4000015258789 | 75.1999969482422 | 75.9000015258789 | 76 | 76.0999984741211 | 76.0999984741211
Philippines | PHL | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 65.4000015258789 | 65.4000015258789 | 65.9000015258789 | 65.5 | 65.5 | 66.5999984741211 | 66.5 | 66.3000030517578 | 66.8000030517578 | 66.5999984741211 | 65.1999969482422 | 67.9000015258789 | 66.6999969482422 | 67.1999969482422 | 66.5999984741211 | 64.8000030517578 | 63.9000015258789 | 63.2999992370605 | 63.7999992370605 | 64.0999984741211 | 64.6999969482422 | 65.1999969482422 | 65.1999969482422
Palau | PLW | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
[NAME] | PNG | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 72.4000015258789 | 72 | 71.1999969482422 | 70.3000030517578 | 70.1999969482422 | 70.6999969482422 | 70.4000015258789 | 71 | 71.5999984741211 | 71.6999969482422 | 72.1999969482422 | 72.4000015258789 | 72.5999984741211 | 72.6999969482422 | 72.8000030517578 | 72.9000015258789 | 72.9000015258789 | 72.8000030517578 | 72.5999984741211 | 72.5999984741211 | 72.4000015258789 | 72.3000030517578 | 72.3000030517578
Poland | POL | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 63.2999992370605 | 62.2999992370605 | 61.4000015258789 | 60.7999992370605 | 59.7000007629395 | 58.5 | 57.7999992370605 | 57.2000007629395 | 56.7999992370605 | 55.7000007629395 | 56 | 55.9000015258789 | 54.9000015258789 | 54.5999984741211 | 54.5 | 54.7000007629395 | 54.0999984741211 | 53.9000015258789 | 54.5 | 55.2000007629395 | 55.9000015258789 | 56.0999984741211 | 56.5
Puerto Rico | PRI | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 44.7000007629395 | 45.5 | 45.4000015258789 | 46.9000015258789 | 46.4000015258789 | 46 | 46.9000015258789 | 47.7999992370605 | 47.7999992370605 | 47.7000007629395 | 46.5 | 47 | 47.5 | 48 | 47.9000015258789 | 48.9000015258789 | 48.5999984741211 | 47.5 | 46.4000015258789 | 46.5999984741211 | 43.9000015258789 | 42.7000007629395 | 42.4000015258789
Korea, Dem. Rep. | PRK | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 82 | 82 | 82 | 81.9000015258789 | 81.9000015258789 | 81.8000030517578 | 81.6999969482422 | 81.5999984741211 | 81.5 | 81.3000030517578 | 81 | 80.8000030517578 | 80.5 | 80.1999969482422 | 79.8000030517578 | 79.5 | 79.1999969482422 | 78.8000030517578 | 78.5 | 78.5 | 78.1999969482422 | 78.0999984741211 | 78.0999984741211
Portugal | PRT | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 60 | 60.7999992370605 | 58.7000007629395 | 58.4000015258789 | 58.5999984741211 | 58.0999984741211 | 58.5999984741211 | 59.4000015258789 | 60.2000007629395 | 60.2999992370605 | 60.9000015258789 | 61.5 | 61.9000015258789 | 61.9000015258789 | 61.7000007629395 | 62.0999984741211 | 62.4000015258789 | 62.5999984741211 | 62.5 | 61.9000015258789 | 61.9000015258789 | 61.2999992370605 | 61.0999984741211
Paraguay | PRY | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 72.4000015258789 | 72.6999969482422 | 72.9000015258789 | 73.0999984741211 | 73.3000030517578 | 73.5999984741211 | 71.8000030517578 | 69.8000030517578 | 67.9000015258789 | 68.5999984741211 | 69 | 69.4000015258789 | 69.5999984741211 | 69.8000030517578 | 70 | 70.3000030517578 | 70.5 | 70.8000030517578 | 70.8000030517578 | 71.9000015258789 | 69.9000015258789 | 70 | 70.1999969482422
Pacific island small states | PSS | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 61.04599184282078 | 61.39949451748801 | 61.66181067322019 | 61.92914344574513 | 62.14198650078649 | 62.37681824867265 | 62.52879319744704 | 62.23246243284434 | 61.92959449279908 | 61.62124220130249 | 61.35698087674097 | 61.14755219201835 | 60.98555206463807 | 60.83439552531748 | 60.65131761881055 | 60.38267433006565 | 59.99341060424845 | 59.6014090323111 | 59.3431909039839 | 59.15842211118196 | 59.07687614559619 | 58.97416156402451 | 59.00790065445659
French Polynesia | PYF | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 61.0999984741211 | 60.7999992370605 | 60.5999984741211 | 60.4000015258789 | 60.0999984741211 | 59.7999992370605 | 59.5 | 59.4000015258789 | 59.2999992370605 | 59.0999984741211 | 58.7999992370605 | 58.5 | 58.2000007629395 | 57.7000007629395 | 57.2000007629395 | 56.7000007629395 | 56.4000015258789 | 56 | 55.9000015258789 | 55.7999992370605 | 55.7000007629395 | 55.7999992370605 | 55.7999992370605
Qatar | QAT | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 80 | 80.3000030517578 | 80.1999969482422 | 80.4000015258789 | 80.3000030517578 | 79.9000015258789 | 79.0999984741211 | 77.5999984741211 | 76.6999969482422 | 76.0999984741211 | 75.5 | 75.5999984741211 | 75.5999984741211 | 76.5 | 77.5999984741211 | 80 | 82.4000015258789 | 84.3000030517578 | 85.3000030517578 | 86 | 86.4000015258789 | 86.5999984741211 | 86.6999969482422
Romania | [NAME] | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 59 | 59.5999984741211 | 59.9000015258789 | 60.5999984741211 | 61.5999984741211 | 62.9000015258789 | 64.5 | 66.3000030517578 | 65.4000015258789 | 65.4000015258789 | 64.9000015258789 | 63.5 | 57.7999992370605 | 57.2000007629395 | 56.5999984741211 | 55 | 56 | 56 | 55.7999992370605 | 55.7000007629395 | 56.0999984741211 | 55.7000007629395 | 56.2999992370605
Russian Federation | RUS | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 67.1999969482422 | 66.1999969482422 | 65.0999984741211 | 63 | 60.7000007629395 | 60.5 | 59.4000015258789 | 57.9000015258789 | 57 | 60.7000007629395 | 60.7000007629395 | 59.4000015258789 | 60 | 61 | 61.5 | 61.9000015258789 | 62.0999984741211 | 63 | 63.2999992370605 | 63.2000007629395 | 63 | 63.4000015258789 | 63.5
Rwanda | RWA | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 89 | 88.6999969482422 | 88.4000015258789 | 88.0999984741211 | 87.6999969482422 | 87.3000030517578 | 86.8000030517578 | 86.5 | 86.1999969482422 | 85.9000015258789 | 85.5 | 85.0999984741211 | 84.9000015258789 | 84.8000030517578 | 84.6999969482422 | 84.8000030517578 | 85 | 85.4000015258789 | 85.6999969482422 | 86 | 86.1999969482422 | 86.1999969482422 | 86
South Asia | SAS | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 61.50878354485098 | 61.48375619971856 | 61.43050297298155 | 61.32306570695109 | 61.22057148316838 | 60.82518024305451 | 60.66281253825177 | 60.44596114724516 | 60.21777984863077 | 59.94433053896402 | 59.66897301657408 | 59.94401534482578 | 60.15119741703976 | 60.40171525433904 | 60.65366106093269 | 61.05074779554297 | 60.34099677722841 | 59.42608713999511 | 58.56345337949627 | 57.83946540733471 | 57.02570062077776 | 57.11813195275752 | 57.12908429061616
Saudi Arabia | SAU | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 54 | 53.9000015258789 | 54.0999984741211 | 53.7999992370605 | 53.4000015258789 | 52.7000007629395 | 51.7000007629395 | 50.4000015258789 | 49.0999984741211 | 48 | 48.5999984741211 | 48.2999992370605 | 48.7000007629395 | 49.4000015258789 | 50.0999984741211 | 50.5999984741211 | 51 | 51.2000007629395 | 51.2000007629395 | 51.0999984741211 | 51.5 | 51.7999992370605 | 52.2000007629395
[NAME] | SCE | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
Sudan | SDN | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 52.5999984741211 | 51.7999992370605 | 51 | 50.0999984741211 | 50.7999992370605 | 51.2999992370605 | 51.5999984741211 | 51.7000007629395 | 51.7999992370605 | 52 | 52.0999984741211 | 52.2999992370605 | 52.4000015258789 | 52.5999984741211 | 52.7000007629395 | 52.7999992370605 | 53 | 53.0999984741211 | 53.2000007629395 | 53.2999992370605 | 53.4000015258789 | 53.4000015258789 | 53.5
Senegal | SEN | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 75.5 | 75.5 | 75.5999984741211 | 75.5999984741211 | 75.6999969482422 | 75.6999969482422 | 75.6999969482422 | 75.6999969482422 | 75.5999984741211 | 75.5 | 75.5999984741211 | 75.5999984741211 | 75.6999969482422 | 75.6999969482422 | 75.8000030517578 | 75.8000030517578 | 75.9000015258789 | 76 | 76.0999984741211 | 76.1999969482422 | 76.3000030517578 | 76.4000015258789 | 76.5
Singapore | SGP | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 64.9000015258789 | 65.1999969482422 | 65.3000030517578 | 64.9000015258789 | 65.0999984741211 | 64.3000030517578 | 65.5 | 64.6999969482422 | 64.3000030517578 | 64.9000015258789 | 65.4000015258789 | 64.8000030517578 | 63.9000015258789 | 63.9000015258789 | 63.9000015258789 | 64.9000015258789 | 66 | 66.3000030517578 | 66.6999969482422 | 66.6999969482422 | 67.1999969482422 | 67.5 | 68.0999984741211
Solomon Islands | SLB | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 65.1999969482422 | 65.0999984741211 | 65.0999984741211 | 65.0999984741211 | 65.1999969482422 | 65.3000030517578 | 65.4000015258789 | 65.5999984741211 | 65.8000030517578 | 66 | 66.0999984741211 | 66.1999969482422 | 66.3000030517578 | 66.4000015258789 | 66.5 | 66.5 | 66.5 | 66.5 | 66.5 | 66.4000015258789 | 66.4000015258789 | 66.4000015258789 | 66.3000030517578
Sierra Leone | SLE | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 64.6999969482422 | 64.5 | 64.5 | 64.4000015258789 | 64.3000030517578 | 64.1999969482422 | 64.0999984741211 | 64.0999984741211 | 64.0999984741211 | 64 | 64.0999984741211 | 64.1999969482422 | 64.3000030517578 | 64.4000015258789 | 66 | 66.1999969482422 | 66.4000015258789 | 66.5999984741211 | 66.8000030517578 | 67 | 67.0999984741211 | 67.1999969482422 | 67.3000030517578
El Salvador | SLV | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 60.7000007629395 | 60.7000007629395 | 60.7000007629395 | 61.5999984741211 | 62.4000015258789 | 61.5 | 60 | 59.7999992370605 | 61.5999984741211 | 61.0999984741211 | 60.5 | 59.9000015258789 | 59.2999992370605 | 60.7000007629395 | 59.2999992370605 | 59.7999992370605 | 60.4000015258789 | 60.7000007629395 | 61.2000007629395 | 61.5 | 61.9000015258789 | 61.9000015258789 | 62
[NAME] | SMR | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
Somalia | SOM | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 56.2000007629395 | 56.2000007629395 | 56.2000007629395 | 56.2999992370605 | 56.2999992370605 | 56.2999992370605 | 56.2999992370605 | 56.2999992370605 | 56.2999992370605 | 56.2999992370605 | 56.2999992370605 | 56.2999992370605 | 56.2999992370605 | 56.2999992370605 | 56.2000007629395 | 56.2000007629395 | 56.2000007629395 | 56.2000007629395 | 56.2000007629395 | 56.0999984741211 | 56.0999984741211 | 56.0999984741211 | 56.0999984741211
Serbia | SRB | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 55.5 | 55.9000015258789 | 55.5999984741211 | 55.4000015258789 | 55.2000007629395 | 55.0999984741211 | 54.9000015258789 | 54.7999992370605 | 54.7999992370605 | 54.7000007629395 | 54.7000007629395 | 54.7000007629395 | 54.7000007629395 | 54.7000007629395 | 54.7000007629395 | 54.7000007629395 | 54.7000007629395 | 54.9000015258789 | 54.7000007629395 | 53 | 51.9000015258789 | 52.0999984741211 | 52.2999992370605
Sub-Saharan Africa (developing only) | SSA | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 69.2708579391531 | 69.25819907550057 | 69.28185226413324 | 69.27801788059129 | 69.29622207993832 | 69.29885010860765 | 69.26595082724329 | 69.24657574231385 | 69.23601176873805 | 69.24920257491085 | 69.40093033115896 | 69.47125099914393 | 69.51669718419089 | 69.38109946606265 | 69.21810337941736 | 69.37977752017181 | 69.51875134813403 | 69.53938780163428 | 69.73037852377396 | 69.69958340548963 | 69.7076550938561 | 69.79221037273076 | 69.91620768497063
South Sudan | SSD | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
Sub-Saharan Africa (all income levels) | SSF | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 69.28518168501785 | 69.27260679222917 | 69.29630899543085 | 69.29247610772497 | 69.31068821564817 | 69.31320894222779 | 69.2803503781615 | 69.26096501057346 | 69.25034303705021 | 69.2635739581385 | 69.41518137025011 | 69.48556451016097 | 69.53103827902137 | 69.39563521657655 | 69.23284961831354 | 69.39443835329168 | 69.53340416338162 | 69.55411197485836 | 69.745008053277 | 69.71429738753459 | 69.72241058355357 | 69.80693159812601 | 69.93084975236427
Small states | SST | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 64.47612648623438 | 64.351270279989 | 64.53667970867684 | 64.66913084682866 | 64.79525699677265 | 64.69495474003682 | 64.54998293873565 | 64.3301310436521 | 64.29992271034233 | 64.27989569135656 | 64.17693403543633 | 64.25137938856203 | 64.21823967295286 | 64.22167771071423 | 64.23490081109766 | 64.37454261746085 | 64.36400447180041 | 64.34513088359932 | 64.36107504341494 | 63.99916413192047 | 63.85759913897792 | 63.7224642351911 | 63.76184478723867
Sao Tome and Principe | STP | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 55.7999992370605 | 55.7000007629395 | 56 | 56.2999992370605 | 56.4000015258789 | 56.4000015258789 | 56.2999992370605 | 55.9000015258789 | 55.5999984741211 | 55.2999992370605 | 55.2999992370605 | 55.5 | 55.9000015258789 | 56.4000015258789 | 56.9000015258789 | 57.4000015258789 | 57.9000015258789 | 58.4000015258789 | 58.9000015258789 | 59.4000015258789 | 59.9000015258789 | 60.2999992370605 | 60.7000007629395
Suriname | SUR | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 57.7999992370605 | 55.5999984741211 | 53.5 | 50.7000007629395 | 50.9000015258789 | 50.0999984741211 | 50.5999984741211 | 51 | 51.0999984741211 | 51.2000007629395 | 51.4000015258789 | 51.5999984741211 | 51.7999992370605 | 52 | 52.2999992370605 | 52.5999984741211 | 52.9000015258789 | 53.2999992370605 | 53.7000007629395 | 54.0999984741211 | 54.4000015258789 | 54.5 | 54.5
Slovak Republic | SVK | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 65.1999969482422 | 66.0999984741211 | 64.1999969482422 | 62.2000007629395 | 59.9000015258789 | 59.9000015258789 | 60.2000007629395 | 59.5999984741211 | 59.5 | 59.7999992370605 | 60 | 60.5 | 60.0999984741211 | 60.4000015258789 | 60.2000007629395 | 59.5 | 59 | 58.7000007629395 | 59.2999992370605 | 58.9000015258789 | 59 | 59 | 59.5
Slovenia | SVN | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 53.5999984741211 | 53.5 | 53.2999992370605 | 53.0999984741211 | 58.5 | 59 | 57.5999984741211 | 58.4000015258789 | 59.4000015258789 | 58.2000007629395 | 57.4000015258789 | 57.5999984741211 | 57.5 | 56.5999984741211 | 59.0999984741211 | 59.2000007629395 | 59.2999992370605 | 59.7999992370605 | 59.5 | 59.5 | 59.2999992370605 | 58.0999984741211 | 57.7999992370605
Sweden | SWE | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 66.6999969482422 | 66.3000030517578 | 64.9000015258789 | 63.4000015258789 | 62.7000007629395 | 63 | 63.0999984741211 | 62.2000007629395 | 61.7000007629395 | 62 | 62.9000015258789 | 63 | 63 | 62.9000015258789 | 62.5999984741211 | 63.7000007629395 | 63.9000015258789 | 64 | 64 | 63.5 | 63.5 | 63.9000015258789 | 64.0999984741211
Swaziland | SWZ | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 56 | 56.0999984741211 | 56.2999992370605 | 56.4000015258789 | 56.5 | 56.5999984741211 | 56.5999984741211 | 56.5 | 56.4000015258789 | 56.4000015258789 | 56.2999992370605 | 56.2000007629395 | 56.2000007629395 | 56.2000007629395 | 56.2000007629395 | 56.2000007629395 | 56.2999992370605 | 56.2999992370605 | 56.4000015258789 | 56.5 | 56.5999984741211 | 56.9000015258789 | 57.0999984741211
Sint Maarten (Dutch part) | SXM | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
Seychelles | SYC | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
Syrian Arab Republic | SYR | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 49.9000015258789 | 50.5 | 51.0999984741211 | 51.7000007629395 | 52.4000015258789 | 53.0999984741211 | 52.5999984741211 | 52.2000007629395 | 51.7999992370605 | 51.4000015258789 | 50.7999992370605 | 50.2000007629395 | 49.7000007629395 | 49.2000007629395 | 48 | 46.9000015258789 | 45.9000015258789 | 45.4000015258789 | 45 | 43.2999992370605 | 43.5 | 43.5 | 43.5999984741211
Turks and Caicos Islands | TCA | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
Chad | TCD | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 72.3000030517578 | 72 | 71.8000030517578 | 72.3000030517578 | 72.1999969482422 | 72.1999969482422 | 72.0999984741211 | 72 | 72 | 71.9000015258789 | 71.9000015258789 | 71.8000030517578 | 71.8000030517578 | 71.8000030517578 | 71.6999969482422 | 71.6999969482422 | 71.6999969482422 | 71.5999984741211 | 71.5999984741211 | 71.5999984741211 | 71.5999984741211 | 71.5999984741211 | 71.5999984741211
Togo | TGO | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 75.4000015258789 | 75.6999969482422 | 76.0999984741211 | 76.4000015258789 | 76.6999969482422 | 77.0999984741211 | 77.4000015258789 | 77.6999969482422 | 78.0999984741211 | 78.4000015258789 | 78.6999969482422 | 79 | 79.3000030517578 | 79.5999984741211 | 79.8000030517578 | 80.0999984741211 | 80.4000015258789 | 80.5 | 80.5999984741211 | 80.6999969482422 | 80.8000030517578 | 80.9000015258789 | 80.9000015258789
Thailand | THA | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 81.5 | 79.6999969482422 | 77.8000030517578 | 75.8000030517578 | 73.6999969482422 | 74 | 74.3000030517578 | 74.5 | 73.4000015258789 | 72.1999969482422 | 72.8000030517578 | 73.1999969482422 | 73.0999984741211 | 72.9000015258789 | 73.3000030517578 | 73.4000015258789 | 72.6999969482422 | 73.5 | 73.4000015258789 | 72.8000030517578 | 72.4000015258789 | 72.4000015258789 | 72.4000015258789
Tajikistan | TJK | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 66.6999969482422 | 66.6999969482422 | 66.8000030517578 | 66.8000030517578 | 66.9000015258789 | 66.9000015258789 | 66.8000030517578 | 66.8000030517578 | 66.6999969482422 | 66.5999984741211 | 66.5 | 66.4000015258789 | 66.1999969482422 | 66.0999984741211 | 66.0999984741211 | 66.1999969482422 | 66.3000030517578 | 66.5999984741211 | 66.8000030517578 | 67 | 67.3000030517578 | 67.5 | 67.6999969482422
Turkmenistan | TKM | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 60.2000007629395 | 60.2999992370605 | 60.4000015258789 | 60.4000015258789 | 60.2000007629395 | 60.0999984741211 | 60 | 59.7999992370605 | 60 | 60.2999992370605 | 60.5 | 60.5999984741211 | 60.7000007629395 | 60.5999984741211 | 60.5999984741211 | 60.5 | 60.5 | 60.5 | 60.5 | 60.5 | 60.5999984741211 | 60.9000015258789 | 61.2000007629395
Timor-Leste | TLS | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 61.2000007629395 | 61.0999984741211 | 61 | 60.9000015258789 | 60.5999984741211 | 60.0999984741211 | 59.5999984741211 | 59 | 58.9000015258789 | 57.9000015258789 | 56.2999992370605 | 57.7000007629395 | 55.5 | 53.5 | 51.4000015258789 | 49.2999992370605 | 47.0999984741211 | 44.9000015258789 | 42.7000007629395 | 40.5999984741211 | 38.5999984741211 | 38.2999992370605 | 38.0999984741211
Tonga | TON | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 55.7000007629395 | 56.7000007629395 | 57.7000007629395 | 58.9000015258789 | 60 | 60.5 | 60.7000007629395 | 60.7999992370605 | 60.9000015258789 | 61 | 61.2999992370605 | 61.7999992370605 | 62.4000015258789 | 63.2000007629395 | 63.5999984741211 | 64 | 64.1999969482422 | 64.3000030517578 | 64.3000030517578 | 64.1999969482422 | 64.1999969482422 | 64.0999984741211 | 64
Trinidad and Tobago | TTO | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 57.2000007629395 | 55.2000007629395 | 57 | 58.2999992370605 | 59.4000015258789 | 60.2000007629395 | 61 | 61.2000007629395 | 61.2999992370605 | 61.2000007629395 | 61.2000007629395 | 61.2000007629395 | 61.2999992370605 | 62.4000015258789 | 63.5 | 64.6999969482422 | 64.5999984741211 | 64.3000030517578 | 64.3000030517578 | 63.5 | 63.7999992370605 | 63.9000015258789 | 64
Tunisia | TUN | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 48.5999984741211 | 48.5999984741211 | 48.5999984741211 | 48.5999984741211 | 48.5 | 48.5 | 48.5999984741211 | 48.5999984741211 | 48.2999992370605 | 48 | 47.7000007629395 | 47.2999992370605 | 47 | 46.7000007629395 | 46.4000015258789 | 46.0999984741211 | 46.2999992370605 | 46.5 | 46.7000007629395 | 46.9000015258789 | 47.0999984741211 | 47.2999992370605 | 47.5
Turkey | TUR | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 56.7999992370605 | 56.4000015258789 | 55.4000015258789 | 51.5 | 54 | 53.4000015258789 | 53 | 51.7000007629395 | 51.7999992370605 | 51.7000007629395 | 48.7999992370605 | 48.5999984741211 | 48.2999992370605 | 47 | 46 | 46.0999984741211 | 45.9000015258789 | 45.9000015258789 | 46.5 | 47.5999984741211 | 48.5 | 49.5 | 49.4000015258789
Tuvalu | TUV | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS
Tanzania | TZA | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 89.0999984741211 | 89.0999984741211 | 89.0999984741211 | 89.0999984741211 | 89 | 89 | 89 | 88.9000015258789 | 88.9000015258789 | 88.9000015258789 | 88.8000030517578 | 88.8000030517578 | 89.0999984741211 | 89.3000030517578 | 89.4000015258789 | 89.5 | 89.5999984741211 | 89.5 | 89.4000015258789 | 89.4000015258789 | 89.3000030517578 | 89.1999969482422 | 89.1999969482422
Uganda | UGA | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 82.0999984741211 | 82.0999984741211 | 82.0999984741211 | 82.0999984741211 | 82 | 82 | 81.9000015258789 | 81.8000030517578 | 81.8000030517578 | 81.6999969482422 | 81.6999969482422 | 81.5999984741211 | 81.5999984741211 | 80.8000030517578 | 79.8000030517578 | 78.5999984741211 | 78.4000015258789 | 78.1999969482422 | 78.0999984741211 | 77.9000015258789 | 77.8000030517578 | 77.6999969482422 | 77.5999984741211
Ukraine | UKR | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 62.7000007629395 | 62.2000007629395 | 61.7999992370605 | 61.5 | 61.2000007629395 | 60.7000007629395 | 60.2999992370605 | 59.7000007629395 | 59.2000007629395 | 58.5999984741211 | 58 | 57.4000015258789 | 57.5 | 57.2999992370605 | 57.4000015258789 | 58 | 58.0999984741211 | 58.2000007629395 | 58.2999992370605 | 58.4000015258789 | 58.5999984741211 | 58.9000015258789 | 59.0999984741211
Upper middle income | UMC | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 71.59175276816599 | 71.59540610558538 | 71.66943583562343 | 71.45452453586614 | 71.38651890867426 | 71.35942129614023 | 71.10091108517449 | 71.10278091482549 | 70.87913563056935 | 70.64164807364918 | 70.27752811826721 | 69.8368286470103 | 69.35135199383818 | 68.75416913409313 | 68.34720187803279 | 67.98785663991285 | 67.57887894897789 | 67.2487572883443 | 66.9381602126326 | 66.67239707241096 | 66.41056830968417 | 66.57815131779 | 66.71829740666232
Uruguay | URY | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 60.5 | 60.7000007629395 | 61.7999992370605 | 61 | 62.0999984741211 | 63 | 63.0999984741211 | 63.0999984741211 | 63.2000007629395 | 63.2999992370605 | 63.2999992370605 | 64.5999984741211 | 63.5999984741211 | 62.5999984741211 | 62.7000007629395 | 62.7999992370605 | 64.0999984741211 | 64.5999984741211 | 65 | 65.5 | 65.4000015258789 | 65.5 | 65.5999984741211
United States | USA | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 65.5 | 65 | 65.3000030517578 | 65.1999969482422 | 65.5999984741211 | 65.6999969482422 | 65.9000015258789 | 66.1999969482422 | 66.3000030517578 | 66.3000030517578 | 66.3000030517578 | 66 | 65.5999984741211 | 65.1999969482422 | 64.9000015258789 | 65 | 65.0999984741211 | 64.9000015258789 | 64.9000015258789 | 64.3000030517578 | 63.5 | 63 | 62.9000015258789
Uzbekistan | UZB | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 59.4000015258789 | 59.5 | 59.2000007629395 | 59.0999984741211 | 59 | 58.9000015258789 | 59 | 59.2000007629395 | 59.4000015258789 | 59.5 | 59.5999984741211 | 59.5999984741211 | 59.7000007629395 | 59.7000007629395 | 59.7000007629395 | 59.7999992370605 | 60 | 60.2000007629395 | 60.4000015258789 | 60.5999984741211 | 60.7999992370605 | 61.0999984741211 | 61.4000015258789
St. Vincent and the Grenadines | VCT | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 62.2000007629395 | 62.5999984741211 | 62.7000007629395 | 63.2000007629395 | 63.7000007629395 | 64 | 64.4000015258789 | 64.3000030517578 | 64.4000015258789 | 64.5999984741211 | 65 | 65.3000030517578 | 65.5999984741211 | 65.9000015258789 | 66.0999984741211 | 66.4000015258789 | 66.4000015258789 | 66.5 | 66.6999969482422 | 66.9000015258789 | 67.0999984741211 | 67.0999984741211 | 67.0999984741211
Venezuela, RB | VEN | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 59.0999984741211 | 60.2999992370605 | 59.5999984741211 | 58 | 59.2000007629395 | 61.5999984741211 | 63.2000007629395 | 64.5 | 65.5 | 66.0999984741211 | 65.5999984741211 | 67.5999984741211 | 69.0999984741211 | 68.1999969482422 | 67.4000015258789 | 66.5 | 65.5999984741211 | 65 | 65.3000030517578 | 65.1999969482422 | 64.9000015258789 | 64.9000015258789 | 65
Virgin Islands (U.S.) | VIR | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 64.6999969482422 | 65.0999984741211 | 65.3000030517578 | 65.5 | 65.5999984741211 | 65.5999984741211 | 65.5999984741211 | 65.5 | 65.4000015258789 | 65.3000030517578 | 64.4000015258789 | 64.4000015258789 | 64.5 | 64.6999969482422 | 64.8000030517578 | 64.9000015258789 | 64.8000030517578 | 64.6999969482422 | 64.5 | 64.1999969482422 | 64 | 63.5 | 63
Vietnam | VNM | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 79.1999969482422 | 79.0999984741211 | 79 | 78.9000015258789 | 78.6999969482422 | 78.5 | 78.3000030517578 | 78.0999984741211 | 78 | 78 | 77.8000030517578 | 77.6999969482422 | 77.5 | 77.4000015258789 | 77.3000030517578 | 77.0999984741211 | 76.9000015258789 | 76.6999969482422 | 76.5999984741211 | 76.5999984741211 | 76.6999969482422 | 76.9000015258789 | 77.1999969482422
[NAME] | VUT | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 83.5 | 82.9000015258789 | 82.3000030517578 | 81.6999969482422 | 81.0999984741211 | 80.5 | 79.8000030517578 | 79.0999984741211 | 78.4000015258789 | 77.6999969482422 | 77 | 76.3000030517578 | 75.5999984741211 | 74.9000015258789 | 74.3000030517578 | 73.5999984741211 | 72.9000015258789 | 72.3000030517578 | 71.5999984741211 | 71 | 71 | 70.9000015258789 | 70.9000015258789
West Bank and Gaza | PSE | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 39 | 39.2000007629395 | 38.9000015258789 | 38.7999992370605 | 38.7000007629395 | 38.7000007629395 | 38.7000007629395 | 38.5999984741211 | 38.4000015258789 | 37.7999992370605 | 38.2000007629395 | 39 | 38.2999992370605 | 39.4000015258789 | 40.5999984741211 | 40.9000015258789 | 41.2999992370605 | 42 | 42.7999992370605 | 41.2999992370605 | 40.7000007629395 | 40.7999992370605 | 41
World | WLD | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 66.30145139140923 | 66.27380975843865 | 66.20713747235565 | 66.02553388893365 | 65.93800154271953 | 65.85696184423512 | 65.7337489210831 | 65.60583008224748 | 65.4281117439067 | 65.4772416654629 | 65.2691707244111 | 65.11191061769104 | 64.95881425383463 | 64.83891201149143 | 64.7810470442271 | 64.79042043717621 | 64.51215745571378 | 64.24486788882304 | 63.99574433607168 | 63.71655600359082 | 63.42523456040689 | 63.50847989337305 | 63.60885984052501
Samoa | WSM | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 58.9000015258789 | 59.2999992370605 | 58.7999992370605 | 58.2999992370605 | 57.7000007629395 | 57.2000007629395 | 56.7000007629395 | 56.2000007629395 | 55.5999984741211 | 54.9000015258789 | 54.2000007629395 | 53.4000015258789 | 52.5 | 51.5999984741211 | 50.5 | 49.4000015258789 | 48.2000007629395 | 46.9000015258789 | 45.5999984741211 | 44.2000007629395 | 42.7999992370605 | 41.2999992370605 | 41.4000015258789
Yemen, Rep. | YEM | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 43.7999992370605 | 44.2999992370605 | 44.7000007629395 | 45.2000007629395 | 45.7000007629395 | 46 | 46.2000007629395 | 46.4000015258789 | 46.5 | 46.5999984741211 | 46.7000007629395 | 46.7000007629395 | 46.9000015258789 | 47 | 47.2000007629395 | 47.2999992370605 | 47.4000015258789 | 47.5999984741211 | 47.7000007629395 | 47.9000015258789 | 48 | 48.2000007629395 | 48.5
South Africa | ZAF | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 53.5 | 53.7000007629395 | 54.0999984741211 | 54.4000015258789 | 54.7000007629395 | 55.0999984741211 | 55.4000015258789 | 55.7999992370605 | 56.0999984741211 | 56.5 | 56.7999992370605 | 57 | 56.7000007629395 | 54.9000015258789 | 52.7999992370605 | 54.0999984741211 | 54.7999992370605 | 53.9000015258789 | 54.7999992370605 | 52.9000015258789 | 51.2999992370605 | 51.2999992370605 | 51.7999992370605
Congo, Dem. Rep. | COD | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 71.1999969482422 | 71.5 | 71.6999969482422 | 72 | 72.0999984741211 | 72.0999984741211 | 72.0999984741211 | 72.1999969482422 | 72.1999969482422 | 72.1999969482422 | 72.3000030517578 | 72.3000030517578 | 72.3000030517578 | 72.1999969482422 | 72.0999984741211 | 72.0999984741211 | 72 | 72 | 71.9000015258789 | 71.9000015258789 | 71.9000015258789 | 71.9000015258789 | 71.9000015258789
Zambia | ZMB | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 79.6999969482422 | 79.6999969482422 | 79.8000030517578 | 79.6999969482422 | 79.9000015258789 | 80 | 79.9000015258789 | 79.9000015258789 | 80 | 80.0999984741211 | 80.0999984741211 | 80 | 80 | 80 | 79.9000015258789 | 79.9000015258789 | 79.8000030517578 | 79.6999969482422 | 79.6999969482422 | 79.5999984741211 | 79.5 | 79.5 | 79.4000015258789
Zimbabwe | ZWE | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 73.1999969482422 | 73.4000015258789 | 73.5999984741211 | 73.6999969482422 | 73.8000030517578 | 73.8000030517578 | 73.8000030517578 | 73.8000030517578 | 72.6999969482422 | 71.4000015258789 | 74.9000015258789 | 78.1999969482422 | 81.3000030517578 | 84.1999969482422 | 86.6999969482422 | 86.5999984741211 | 86.4000015258789 | 86.3000030517578 | 86.1999969482422 | 86.1999969482422 | 86.1999969482422 | 86.3000030517578 | 86.4000015258789