Spreadsheet: 070d3b76-3d3f-4392-b0bb-ff9f6587bab3
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 | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Andorra | AND | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Afghanistan | AFG | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 32.5 | 32.4000015258789 | 32.2999992370605 | 32.2000007629395 | 32.0999984741211 | 32.0999984741211 | 32 | 31.8999996185303 | 31.8999996185303 | 30.7000007629395 | 30.6000003814697 | 30.7000007629395 | 30.7000007629395 | 30.7000007629395 | 30.2999992370605 | 30.2000007629395 | 30.2999992370605 | 30.2000007629395 | 30.2999992370605 | 30.2999992370605 | 30.2999992370605 | 30.2000007629395
Angola | AGO | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46.7999992370605 | 46.9000015258789 | 47 | 47.4000015258789 | 47.5 | 47.5 | 47.2000007629395 | 47 | 47.0999984741211 | 47.0999984741211 | 47.0999984741211 | 47 | 46.9000015258789 | 46.7999992370605 | 46.5999984741211 | 46.2999992370605 | 46 | 45.7000007629395 | 45.7999992370605 | 46 | 46 | 46.0999984741211
Albania | ALB | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 48.0999984741211 | 44.9000015258789 | 40.2000007629395 | 40.4000015258789 | 40.5999984741211 | 41.4000015258789 | 41.2000007629395 | 41.0999984741211 | 39.4000015258789 | 40.2999992370605 | 33.5999984741211 | 39.9000015258789 | 38.5 | 36 | 33.7000007629395 | 31.3999996185303 | 29.2999992370605 | 26.2000007629395 | 25.2999992370605 | 25.7000007629395 | 26.1000003814697 | 26.2999992370605
Andean Region | ANR | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Arab World | ARB | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 26.83264259989278 | 26.98190741586387 | 26.79753585208107 | 26.55228158816174 | 26.43282945571403 | 26.42516863735262 | 26.34992663266754 | 26.08191315776574 | 26.88298062163722 | 25.18435709994031 | 24.1701576494517 | 24.29608928940093 | 24.55570777466162 | 24.88449054113783 | 25.35814562735894 | 24.91083269848243 | 25.09365546624139 | 25.18241055417626 | 25.05893502549627 | 24.86110574371455 | 24.34195337187399 | 24.29080750866339
United Arab Emirates | ARE | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 44 | 44 | 44.2000007629395 | 45.2000007629395 | 45.2999992370605 | 43.5 | 45.0999984741211 | 45.5999984741211 | 45.7999992370605 | 45.5 | 44.2999992370605 | 42.7999992370605 | 41.7999992370605 | 42.2000007629395 | 43.9000015258789 | 45.9000015258789 | 47.2999992370605 | 46.7000007629395 | 47.7000007629395 | 48.5 | 48.5 | 48.2999992370605
Argentina | ARG | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 48 | 46.5 | 41.5999984741211 | 40.7999992370605 | 35 | 35 | 36.4000015258789 | 36.5 | 34.9000015258789 | 32.5 | 30.3999996185303 | 28.2999992370605 | 27.2000007629395 | 33.7000007629395 | 34.7000007629395 | 34.9000015258789 | 36.0999984741211 | 35.7999992370605 | 33.9000015258789 | 33.5 | 33.5999984741211 | 34.0999984741211
Armenia | ARM | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 33.5999984741211 | 33.2000007629395 | 32.7000007629395 | 31.2000007629395 | 29.7000007629395 | 32.2000007629395 | 32.5999984741211 | 26.7000007629395 | 32.7000007629395 | 28.7999992370605 | 28.3999996185303 | 23.7000007629395 | 21.2999992370605 | 23.8999996185303 | 18.8999996185303 | 22.1000003814697 | 15.8000001907349 | 16.1000003814697 | 20.1000003814697 | 22.2999992370605 | 22.5 | 23
American Samoa | ASM | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
[NAME] and [NAME] | ATG | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Australia | AUS | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 57.5 | 55.9000015258789 | 55.7999992370605 | 58.5 | 60.7999992370605 | 60.5999984741211 | 59.0999984741211 | 59.9000015258789 | 61.0999984741211 | 62.0999984741211 | 61.2000007629395 | 61.0999984741211 | 61.7999992370605 | 62.2000007629395 | 63.2999992370605 | 63.7999992370605 | 64.3000030517578 | 64.6999969482422 | 61.2999992370605 | 60.7000007629395 | 60.5999984741211 | 59.5999984741211
Austria | AUT | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 61.2999992370605 | 61.7000007629395 | 58.7000007629395 | 59.2999992370605 | 57.4000015258789 | 55.7000007629395 | 54.7999992370605 | 53.9000015258789 | 53.7999992370605 | 52.7000007629395 | 51.5999984741211 | 51.5999984741211 | 51.0999984741211 | 52.0999984741211 | 53.2999992370605 | 54.4000015258789 | 55.7999992370605 | 56.0999984741211 | 54.5999984741211 | 53.7000007629395 | 54.9000015258789 | 54.5999984741211
Azerbaijan | AZE | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 39.5999984741211 | 42.7000007629395 | 44.2999992370605 | 44.7000007629395 | 43.7999992370605 | 42.7999992370605 | 43.0999984741211 | 42.4000015258789 | 42.2999992370605 | 40.5 | 39.0999984741211 | 38 | 36.7000007629395 | 35.5999984741211 | 34 | 31.7999992370605 | 31.7000007629395 | 30.3999996185303 | 30.3999996185303 | 28.3999996185303 | 28.8999996185303 | 29.3999996185303
Burundi | BDI | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 70.0999984741211 | 68.9000015258789 | 67.5999984741211 | 66.4000015258789 | 65.0999984741211 | 63.9000015258789 | 62.9000015258789 | 61.7000007629395 | 61.5 | 61.2999992370605 | 60.9000015258789 | 60.4000015258789 | 59.9000015258789 | 59.2999992370605 | 58.7999992370605 | 58.2999992370605 | 57.7000007629395 | 57.2999992370605 | 56.9000015258789 | 56.5999984741211 | 56.5 | 56.4000015258789
Belgium | BEL | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 31.5 | 31.2999992370605 | 27.7999992370605 | 27.1000003814697 | 26.2999992370605 | 26.1000003814697 | 25.5 | 26.2999992370605 | 25.7000007629395 | 30.3999996185303 | 28.2000007629395 | 28.8999996185303 | 26.8999996185303 | 27.3999996185303 | 27.3999996185303 | 27.7000007629395 | 27.7000007629395 | 27.5 | 25.2999992370605 | 25 | 25.7000007629395 | 24.8999996185303
Benin | [NAME] | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 66.4000015258789 | 65.8000030517578 | 65.4000015258789 | 64.8000030517578 | 64.0999984741211 | 63.4000015258789 | 62.4000015258789 | 61.2000007629395 | 60.4000015258789 | 59.5 | 58.5999984741211 | 57.5999984741211 | 57.0999984741211 | 57 | 56.7999992370605 | 56.4000015258789 | 56.2999992370605 | 56.2000007629395 | 56.0999984741211 | 55.9000015258789 | 55.7999992370605 | 55.7999992370605
[NAME] | BFA | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 75.8000030517578 | 76.0999984741211 | 75 | 75.5999984741211 | 75.6999969482422 | 75.5 | 75.5999984741211 | 75.4000015258789 | 75.4000015258789 | 74.4000015258789 | 75.1999969482422 | 74.3000030517578 | 74.4000015258789 | 74.3000030517578 | 74.3000030517578 | 74.6999969482422 | 73.3000030517578 | 73.1999969482422 | 73.0999984741211 | 73 | 72.8000030517578 | 72.5999984741211
Bangladesh | BGD | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 63.7999992370605 | 62.5999984741211 | 62.2000007629395 | 61.7999992370605 | 61.4000015258789 | 61.2999992370605 | 59.5999984741211 | 59.7999992370605 | 57.7000007629395 | 56.5 | 56.4000015258789 | 56.4000015258789 | 57.5 | 56.7000007629395 | 55.5 | 55 | 54.5999984741211 | 54.0999984741211 | 52.9000015258789 | 54.2000007629395 | 54.0999984741211 | 53.5
Bulgaria | BGR | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 29.7000007629395 | 34.0999984741211 | 25.7000007629395 | 25.7000007629395 | 27.8999996185303 | 28.1000003814697 | 26.3999996185303 | 26 | 23.1000003814697 | 20.3999996185303 | 21.7999992370605 | 21.2999992370605 | 22.3999996185303 | 23.8999996185303 | 23.6000003814697 | 25.7999992370605 | 27.3999996185303 | 29.7999992370605 | 27.6000003814697 | 24.3999996185303 | 22 | 21.6000003814697
Bahrain | BHR | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 32.2000007629395 | 32.4000015258789 | 33 | 33.4000015258789 | 34.0999984741211 | 33.9000015258789 | 32.7999992370605 | 32.7999992370605 | 33.4000015258789 | 33.0999984741211 | 35 | 34.7999992370605 | 34.2999992370605 | 32.5999984741211 | 33 | 33.2000007629395 | 33.2999992370605 | 33.2999992370605 | 33.2000007629395 | 33 | 32.7999992370605 | 32.2000007629395
Bahamas, The | BHS | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 45 | 42.9000015258789 | 45.0999984741211 | 44.7999992370605 | 46.5999984741211 | 44.0999984741211 | 43.7999992370605 | 46.2000007629395 | 45.5999984741211 | 45.5 | 45.7000007629395 | 43.7000007629395 | 41.2999992370605 | 42.0999984741211 | 44.0999984741211 | 46.7999992370605 | 45.2000007629395 | 45.2000007629395 | 38.5999984741211 | 39 | 39.7000007629395 | 40.5999984741211
Bosnia and Herzegovina | BIH | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 16 | 15.3999996185303 | 13.6999998092651 | 12.8999996185303 | 14.8000001907349 | 14.8999996185303 | 13.1000003814697 | 14.1999998092651 | 14.6999998092651 | 15.1999998092651 | 13.6000003814697 | 15.6999998092651 | 14.8000001907349 | 13.1000003814697 | 14.8000001907349 | 12.3999996185303 | 13.6999998092651 | 17 | 16.5 | 13.8000001907349 | 13.8999996185303 | 13.8000001907349
Belarus | BLR | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 40.7999992370605 | 40.5 | 39.9000015258789 | 39.5 | 38.9000015258789 | 37.7000007629395 | 36.7000007629395 | 36 | 35.2999992370605 | 34.2999992370605 | 33.5 | 32.7000007629395 | 31.8999996185303 | 31.2000007629395 | 30.7000007629395 | 30.2999992370605 | 29.8999996185303 | 29.6000003814697 | 29.3999996185303 | 29.8999996185303 | 30.5 | 31
Belize | BLZ | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 42.5 | 41.2999992370605 | 41.5999984741211 | 40 | 40.5999984741211 | 41.5999984741211 | 42 | 40.7999992370605 | 42 | 43 | 44.4000015258789 | 43.2000007629395 | 42.7000007629395 | 42.0999984741211 | 41.7000007629395 | 43 | 44.4000015258789 | 44.9000015258789 | 45.0999984741211 | 45.5 | 45.4000015258789 | 45.7000007629395
Bermuda | BMU | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Bolivia | BOL | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 48.9000015258789 | 48.2000007629395 | 48.9000015258789 | 48.5999984741211 | 48.7000007629395 | 49.0999984741211 | 49.5 | 49.5 | 49.9000015258789 | 49.4000015258789 | 49 | 48.7999992370605 | 49.2999992370605 | 50.0999984741211 | 49.2000007629395 | 49.2000007629395 | 49.5 | 51.4000015258789 | 51 | 51.0999984741211 | 51.2000007629395 | 51.4000015258789
Brazil | BRA | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 53.5999984741211 | 59.4000015258789 | 59 | 58.5 | 58 | 55.0999984741211 | 54.5 | 52.5 | 52.0999984741211 | 51.5999984741211 | 51.0999984741211 | 51.7999992370605 | 51 | 52.7999992370605 | 53 | 53 | 53.4000015258789 | 53.9000015258789 | 52.0999984741211 | 52.4000015258789 | 53.5999984741211 | 53.2999992370605
Barbados | BRB | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.2000007629395 | 36.5 | 35.2000007629395 | 36 | 39.2999992370605 | 45.2000007629395 | 42.9000015258789 | 46.4000015258789 | 47.7000007629395 | 48.7000007629395 | 45.9000015258789 | 44.9000015258789 | 41.4000015258789 | 43.9000015258789 | 44.5999984741211 | 44.9000015258789 | 46.2000007629395 | 45.4000015258789 | 43.5 | 42.5999984741211 | 42.0999984741211 | 41.9000015258789
[NAME] | BRN | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41 | 41.5 | 41.9000015258789 | 40.5999984741211 | 41 | 41.5999984741211 | 43 | 43.5 | 42.7999992370605 | 43.4000015258789 | 43.5 | 42.5 | 41.2999992370605 | 41.2000007629395 | 40.5999984741211 | 40.2999992370605 | 40.2000007629395 | 40.4000015258789 | 40.2999992370605 | 40.0999984741211 | 40.4000015258789 | 40.7000007629395
Bhutan | BTN | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 40.7000007629395 | 40.5999984741211 | 40.4000015258789 | 40.4000015258789 | 40 | 42 | 42.5 | 43.5999984741211 | 44.5 | 45.2000007629395 | 46 | 47.2000007629395 | 48.2000007629395 | 47.7000007629395 | 48 | 46.7000007629395 | 45 | 43.7999992370605 | 42 | 44.2999992370605 | 44.2999992370605 | 45.2999992370605
Botswana | BWA | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 35.0999984741211 | 39.0999984741211 | 37.7000007629395 | 35.7999992370605 | 36.2000007629395 | 38.4000015258789 | 41.5999984741211 | 50.9000015258789 | 35.0999984741211 | 35.0999984741211 | 36.5 | 38.2999992370605 | 35.7999992370605 | 36.7000007629395 | 37.5999984741211 | 42 | 46.5999984741211 | 37.5999984741211 | 47.5999984741211 | 39.9000015258789 | 39.7999992370605 | 40.4000015258789
Sub-Saharan Africa (IFC classification) | CAA | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Central African Republic | CAF | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 56 | 55.9000015258789 | 55.7999992370605 | 55.7999992370605 | 55.7000007629395 | 55.4000015258789 | 55.5999984741211 | 55.5 | 55.4000015258789 | 55.4000015258789 | 55.2999992370605 | 55.2999992370605 | 55.0999984741211 | 55.2000007629395 | 55.2000007629395 | 55.0999984741211 | 55 | 54.9000015258789 | 54.7999992370605 | 54.5999984741211 | 54.5 | 54.4000015258789
Canada | CAN | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 57.2999992370605 | 54.7000007629395 | 53.2999992370605 | 53.7000007629395 | 53.7999992370605 | 52.7000007629395 | 51.5 | 52.5 | 54.5999984741211 | 56.2000007629395 | 56.2999992370605 | 57.4000015258789 | 58.0999984741211 | 57.7999992370605 | 57.7000007629395 | 58.5 | 59.5999984741211 | 59.7999992370605 | 55.5999984741211 | 55 | 55.4000015258789 | 54.2999992370605
East Asia and the Pacific (IFC classification) | CEA | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Central Europe and the Baltics | CEB | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 39.16239001595598 | 38.96308654946672 | 35.93958367594875 | 34.12505211322726 | 33.58201356829329 | 33.16031981994 | 33.00922230046169 | 32.51698083295909 | 29.51699251059722 | 28.93427033505176 | 27.21014674503751 | 25.19103160326306 | 24.37009732195677 | 23.9922953941414 | 23.31176427186718 | 25.03659215685469 | 26.30886061704715 | 27.15076207541026 | 25.68481302063926 | 24.56125689681268 | 23.58379803566836 | 23.51290516128083
Europe and Central Asia (IFC classification) | CEU | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Switzerland | CHE | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 68.6999969482422 | 66.1999969482422 | 66 | 62.9000015258789 | 62.2999992370605 | 63.7000007629395 | 62.7000007629395 | 63.7999992370605 | 65.1999969482422 | 64.8000030517578 | 63.9000015258789 | 65.1999969482422 | 63.4000015258789 | 61.9000015258789 | 59.9000015258789 | 63.4000015258789 | 62.7999992370605 | 62.5999984741211 | 61.5999984741211 | 62.5 | 62.9000015258789 | 61.5999984741211
Channel Islands | CHI | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Chile | CHL | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 31.1000003814697 | 32.2000007629395 | 34.2999992370605 | 34.5 | 33.2000007629395 | 32.4000015258789 | 31.8999996185303 | 30.5 | 27.2999992370605 | 26 | 25 | 24.2000007629395 | 24.2999992370605 | 24.7999992370605 | 25.3999996185303 | 26.2999992370605 | 27 | 27.8999996185303 | 25.8999996185303 | 31 | 31.8999996185303 | 31.2999992370605
China | CHN | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 70.6999969482422 | 70.9000015258789 | 70.5 | 69.9000015258789 | 68.8000030517578 | 67.6999969482422 | 66.4000015258789 | 64.6999969482422 | 63.0999984741211 | 61.7000007629395 | 59.7999992370605 | 58.0999984741211 | 56.5999984741211 | 55.0999984741211 | 54.0999984741211 | 53.4000015258789 | 53 | 51.7999992370605 | 51 | 50.2999992370605 | 50.7000007629395 | 50.7999992370605
Cote d'Ivoire | CIV | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 50.0999984741211 | 49 | 49.0999984741211 | 49.2000007629395 | 49.7999992370605 | 49.2999992370605 | 48.9000015258789 | 48.5 | 48.2999992370605 | 48.2999992370605 | 48.2999992370605 | 48.2999992370605 | 48.4000015258789 | 48.4000015258789 | 48.4000015258789 | 48.4000015258789 | 48.4000015258789 | 48.2999992370605 | 48.2000007629395 | 48.0999984741211 | 48 | 47.9000015258789
Latin America and the Caribbean (IFC classification) | CLA | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Middle East and North Africa (IFC classification) | CME | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Cameroon | CMR | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 43 | 43 | 43 | 43 | 44.7999992370605 | 40.5999984741211 | 40.9000015258789 | 41.2000007629395 | 41.5 | 42.4000015258789 | 41.0999984741211 | 42.7999992370605 | 42.7999992370605 | 43.7000007629395 | 43.7999992370605 | 44.4000015258789 | 44.2000007629395 | 43.7000007629395 | 43.5999984741211 | 44.4000015258789 | 44.4000015258789 | 44.4000015258789
Congo, Rep. | COG | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 39.9000015258789 | 39.7999992370605 | 39.5999984741211 | 39.4000015258789 | 39.4000015258789 | 39.2999992370605 | 39.2000007629395 | 39.2000007629395 | 39 | 39.2000007629395 | 39.0999984741211 | 39.0999984741211 | 39.0999984741211 | 39.0999984741211 | 39.0999984741211 | 39.0999984741211 | 39.0999984741211 | 39.2000007629395 | 39.2000007629395 | 39.2000007629395 | 39.0999984741211 | 39
Colombia | COL | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 34.7000007629395 | 36.2000007629395 | 35.5 | 35.9000015258789 | 36.5 | 36.4000015258789 | 37.5 | 37.5 | 37.5 | 37.4000015258789 | 40.7000007629395 | 41.5 | 44.7000007629395 | 40.9000015258789 | 40.2999992370605 | 37.5999984741211 | 34.0999984741211 | 33.2000007629395 | 35.2000007629395 | 35.4000015258789 | 36.0999984741211 | 36.9000015258789
Comoros | COM | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 35.4000015258789 | 35.2999992370605 | 35.2000007629395 | 35.0999984741211 | 35 | 34.9000015258789 | 34.7999992370605 | 34.7000007629395 | 34.5999984741211 | 34.5999984741211 | 34.5999984741211 | 34.7000007629395 | 34.9000015258789 | 34.9000015258789 | 35 | 35 | 35 | 34.9000015258789 | 34.7999992370605 | 34.5999984741211 | 34.4000015258789 | 34.2000007629395
Cabo Verde | CPV | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 54.9000015258789 | 54.7999992370605 | 54.7000007629395 | 54.5 | 54.2999992370605 | 54 | 53.7000007629395 | 53.4000015258789 | 53.0999984741211 | 52.9000015258789 | 52.7000007629395 | 52.7000007629395 | 52.5999984741211 | 52.5999984741211 | 52.5 | 52.5 | 52.4000015258789 | 52.2999992370605 | 52.0999984741211 | 52.0999984741211 | 52.0999984741211 | 52.2000007629395
Costa Rica | CRI | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 47.9000015258789 | 48.5999984741211 | 49.2000007629395 | 48.9000015258789 | 47.5999984741211 | 44.0999984741211 | 45.7999992370605 | 48.0999984741211 | 46.2000007629395 | 45.7999992370605 | 44.7999992370605 | 44.2000007629395 | 43.2000007629395 | 41.5999984741211 | 42.4000015258789 | 43.0999984741211 | 46.2999992370605 | 43.7999992370605 | 39.2000007629395 | 39.5999984741211 | 39.5999984741211 | 39.5999984741211
South Asia (IFC classification) | CSA | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Caribbean small states | CSS | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 37.70138419698284 | 38.53361468204859 | 37.27863483721427 | 37.27469270456202 | 34.69421013392679 | 34.83770770303347 | 34.73355602075557 | 34.07686775627681 | 33.63366180998838 | 34.53782931021477 | 33.26825124213008 | 33.14099478100731 | 34.84593825768543 | 34.2624659572359 | 34.95602060050119 | 35.99435209305504 | 36.61069774714088 | 35.54773613367414 | 33.09970157787605 | 30.99422644178406 | 31.33019781055145 | 30.21577152999663
Cuba | CUB | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 40.2999992370605 | 39.0999984741211 | 39 | 39.5999984741211 | 35.2000007629395 | 35.2000007629395 | 34.5999984741211 | 34.0999984741211 | 32.7000007629395 | 32.2000007629395 | 32.0999984741211 | 31.7999992370605 | 31.7000007629395 | 31.3999996185303 | 31.8999996185303 | 32.7000007629395 | 35.7000007629395 | 37 | 39.7999992370605 | 39.5 | 39.9000015258789 | 39.9000015258789
[NAME] | CUW | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Cayman Islands | CYM | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Cyprus | CYP | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 36.7999992370605 | 41.5 | 36.4000015258789 | 39.4000015258789 | 40.0999984741211 | 40.5 | 38.4000015258789 | 37.0999984741211 | 36 | 39.2999992370605 | 41.2000007629395 | 39.5 | 40.2999992370605 | 40.9000015258789 | 38.7999992370605 | 39.7999992370605 | 38.5999984741211 | 39.0999984741211 | 36.2999992370605 | 34.4000015258789 | 30.5 | 28.6000003814697
Czech Republic | CZE | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 48.5 | 47.9000015258789 | 47.2999992370605 | 47.5 | 46.2999992370605 | 45.2000007629395 | 43.4000015258789 | 42.5 | 39.9000015258789 | 38.7000007629395 | 36.7999992370605 | 34.4000015258789 | 31.7999992370605 | 28.6000003814697 | 27.2000007629395 | 27.3999996185303 | 28.2000007629395 | 27.7999992370605 | 26.2999992370605 | 25.1000003814697 | 24.5 | 25.2000007629395
Germany | DEU | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 58 | 55.5999984741211 | 52.9000015258789 | 51.2999992370605 | 49.2999992370605 | 47.5999984741211 | 46.5 | 47.2000007629395 | 47.7999992370605 | 47.5999984741211 | 47.0999984741211 | 44.7000007629395 | 42.4000015258789 | 42.2000007629395 | 42.9000015258789 | 44.5 | 46.5999984741211 | 47.7999992370605 | 46.9000015258789 | 46.7999992370605 | 47.7999992370605 | 46.2999992370605
Djibouti | DJI | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Dominica | DMA | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Denmark | DNK | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 65.0999984741211 | 63.2999992370605 | 60.5 | 62.2999992370605 | 66.0999984741211 | 66.1999969482422 | 68.1999969482422 | 66.8000030517578 | 66.5999984741211 | 67.1999969482422 | 61.9000015258789 | 64 | 59.7000007629395 | 62.5 | 62.5 | 64.6999969482422 | 65.3000030517578 | 66.3000030517578 | 62.4000015258789 | 58 | 57.5 | 54.9000015258789
Dominican Republic | DOM | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 37.2000007629395 | 34.5 | 33.9000015258789 | 38.5 | 38.7999992370605 | 37.5999984741211 | 37.5 | 37.7999992370605 | 37.9000015258789 | 38.9000015258789 | 39.4000015258789 | 40.7999992370605 | 35.9000015258789 | 34.5 | 35.0999984741211 | 36.9000015258789 | 37.0999984741211 | 38 | 36.9000015258789 | 38.5 | 38.0999984741211 | 38.2000007629395
Algeria | DZA | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21.1000003814697 | 20.3999996185303 | 21 | 21 | 20 | 20.7000007629395 | 21 | 20 | 20 | 17.1000003814697 | 18.5 | 18.6000003814697 | 19.2000007629395 | 19.2999992370605 | 22.1000003814697 | 23.6000003814697 | 22 | 22.5 | 22.6000003814697 | 22.2000007629395 | 22.2999992370605 | 22.5
East Asia & Pacific (developing only) | EAP | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 65.5476078121003 | 66.0338973047616 | 64.9080915334971 | 63.97524884981949 | 63.42038995714901 | 62.51472167096939 | 61.14048282706165 | 58.85938038081641 | 58.47447746686819 | 57.34534323460785 | 55.91330972243582 | 54.38395207128094 | 53.51293783843187 | 52.36038226540538 | 51.46357793137609 | 50.81631419622067 | 50.69067302398744 | 49.84063662421804 | 49.27973482326435 | 48.75184617830345 | 49.16871024815639 | 49.13969479745657
East Asia & Pacific (all income levels) | EAS | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 63.54397561102726 | 64.00952469843693 | 62.95498051379307 | 62.15644908028212 | 61.65788487934162 | 60.83874904209441 | 59.57401192828783 | 57.3311293631042 | 56.93706979050694 | 55.99081465544503 | 54.68085102223009 | 53.29605438596052 | 52.51153543687264 | 51.49218973934178 | 50.71490030563073 | 50.1291639653697 | 50.01500211663858 | 49.18405814867208 | 48.54421345692016 | 48.01625840655661 | 48.38753299786988 | 48.34392044764838
Europe & Central Asia (developing only) | ECA | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 40.18784005302557 | 39.5878590345113 | 37.4710712941476 | 38.66659772413039 | 38.13509018872791 | 37.7031195261774 | 36.82409363846882 | 35.98211958639706 | 35.76809437956592 | 34.6379813838554 | 33.88371783551653 | 32.73016391380453 | 31.70245807234868 | 31.76209668688247 | 31.55313653300712 | 31.654300470482 | 31.67093010973992 | 31.98027964860552 | 31.20442850576339 | 31.39784285553919 | 31.98028238223559 | 32.0718518766096
Europe & Central Asia (all income levels) | ECS | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 42.71364226129683 | 42.23952870540386 | 39.70521177397036 | 38.98686877145777 | 38.33587655911646 | 37.54840058877502 | 36.34950887362744 | 35.76784988104139 | 36.50098197811541 | 36.61559378462218 | 35.96887226450394 | 35.43829339289915 | 34.44592823418846 | 34.58135249355896 | 34.743391987151 | 35.17153096185087 | 35.76775568131001 | 36.35889569028106 | 34.54779892825014 | 33.96955850221298 | 34.01991520304759 | 33.28623465909472
Ecuador | ECU | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 45.7000007629395 | 46.0999984741211 | 47.5 | 45.2000007629395 | 47.5 | 47.0999984741211 | 45.9000015258789 | 48 | 47.4000015258789 | 46 | 52.9000015258789 | 49.7000007629395 | 45.4000015258789 | 49.2999992370605 | 47.9000015258789 | 50.0999984741211 | 47.7999992370605 | 45.5 | 43.2999992370605 | 45.2000007629395 | 46.2000007629395 | 45.9000015258789
Egypt, Arab Rep. | EGY | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21.7999992370605 | 23.2000007629395 | 21.8999996185303 | 22.1000003814697 | 22.2999992370605 | 23.7000007629395 | 23.5 | 23.1000003814697 | 27.1000003814697 | 23.3999996185303 | 20.3999996185303 | 22.5 | 23.7000007629395 | 24.7999992370605 | 25 | 23.2999992370605 | 24.7000007629395 | 25 | 24.7999992370605 | 25.1000003814697 | 22 | 21.8999996185303
Euro area | EMU | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.95462630607307 | 39.91706570784707 | 37.01440887319609 | 35.36045579352611 | 34.75838648908226 | 34.10424768030443 | 33.92154737859141 | 34.98914166071229 | 35.87439748997596 | 36.94461939598632 | 37.10710822103152 | 36.41874653773493 | 35.80722368009075 | 36.09916338710742 | 36.69152829597434 | 37.38807710850515 | 38.31455684804587 | 38.1177971965648 | 35.39992799403736 | 34.00512240277178 | 33.49257987049189 | 31.89496280800082
Eritrea | ERI | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 69.3000030517578 | 69.4000015258789 | 69.6999969482422 | 69.8000030517578 | 69.4000015258789 | 69.4000015258789 | 69.3000030517578 | 68.9000015258789 | 68.6999969482422 | 68.0999984741211 | 68.3000030517578 | 67.9000015258789 | 67.5 | 67.4000015258789 | 67.3000030517578 | 67.1999969482422 | 67.3000030517578 | 67.0999984741211 | 67.5 | 67.5 | 67.5999984741211 | 67.5
Spain | ESP | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 35.2000007629395 | 32.2999992370605 | 27.2000007629395 | 26.1000003814697 | 26.3999996185303 | 26 | 27 | 28.6000003814697 | 32 | 33.7999992370605 | 34.7999992370605 | 34.0999984741211 | 34.2999992370605 | 35.7000007629395 | 39.0999984741211 | 40.5 | 40.0999984741211 | 36.5999984741211 | 28.3999996185303 | 25.1000003814697 | 21.8999996185303 | 18.1000003814697
Estonia | EST | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 50.5999984741211 | 47.5999984741211 | 44.0999984741211 | 42.2999992370605 | 41.2999992370605 | 38.5999984741211 | 35.9000015258789 | 34.7999992370605 | 29.2999992370605 | 27.7999992370605 | 27.1000003814697 | 25.3999996185303 | 27.8999996185303 | 28.1000003814697 | 29.6000003814697 | 32.2000007629395 | 35.2999992370605 | 37.2999992370605 | 29.3999996185303 | 25.7000007629395 | 30.8999996185303 | 32.2000007629395
Ethiopia | ETH | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 70.3000030517578 | 70.4000015258789 | 71.0999984741211 | 70.9000015258789 | 69.6999969482422 | 69.6999969482422 | 69.6999969482422 | 69.5999984741211 | 69.5 | 70 | 70.4000015258789 | 71.3000030517578 | 72.0999984741211 | 72.8000030517578 | 73.4000015258789 | 73 | 72.5999984741211 | 72.0999984741211 | 71.5 | 71 | 70.9000015258789 | 70.8000030517578
European Union | EUU | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 44.24869102490514 | 42.15124452712863 | 39.09643979019283 | 37.6430396414373 | 37.15316455563202 | 36.69756659751015 | 36.64824267874686 | 37.25784073091545 | 37.1190139466518 | 37.80786761058673 | 37.42198625813936 | 36.52039297048934 | 35.79027616666001 | 35.9974572866543 | 36.13357395566168 | 36.98808740333371 | 37.77427914056331 | 37.93988192029126 | 35.42856171762626 | 34.19653027830295 | 33.64698762372043 | 32.60906293593419
Fragile and conflict affected situations | FCS | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.08969990037017 | 40.8964644089198 | 41.03377770713977 | 40.83363925242254 | 40.80062681512227 | 40.42681650035519 | 40.22960276073721 | 40.16025499441242 | 40.37323020406084 | 40.21161294533213 | 40.2583644517638 | 40.33077742828524 | 40.37268153209617 | 40.57492089499556 | 40.81455927177812 | 40.67311122965818 | 40.70640727135294 | 40.63767745149003 | 40.66703121471419 | 40.45402635208943 | 40.44297813567328 | 40.3441858599132
Finland | FIN | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 48.7000007629395 | 39.7000007629395 | 34.7000007629395 | 32.0999984741211 | 33.4000015258789 | 34.4000015258789 | 36.7999992370605 | 38.2999992370605 | 41.5999984741211 | 42.9000015258789 | 43.7000007629395 | 42.5999984741211 | 41.5 | 41.4000015258789 | 42.0999984741211 | 44.0999984741211 | 46.4000015258789 | 46.5 | 41.2000007629395 | 40.2999992370605 | 42.2000007629395 | 43.4000015258789
Fiji | FJI | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.5 | 41.5 | 40.4000015258789 | 40.0999984741211 | 39.9000015258789 | 39 | 37.7999992370605 | 35.9000015258789 | 35.9000015258789 | 36 | 37.2000007629395 | 37.2999992370605 | 34.5 | 38 | 37.7000007629395 | 35.4000015258789 | 32.9000015258789 | 32.2000007629395 | 32.5999984741211 | 32.7000007629395 | 32.7999992370605 | 33
France | FRA | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 32.5999984741211 | 31.6000003814697 | 29.2000007629395 | 27 | 27.2000007629395 | 26.7999992370605 | 25.3999996185303 | 25.7999992370605 | 26.5 | 28.1000003814697 | 28.6000003814697 | 28.8999996185303 | 30 | 29.2000007629395 | 30.5 | 30.2999992370605 | 31.7000007629395 | 32 | 30.8999996185303 | 30.5 | 30.1000003814697 | 28.7999992370605
Faeroe Islands | FRO | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Micronesia, Fed. [NAME]. | FSM | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Gabon | GAB | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21.5 | 20.7999992370605 | 20.1000003814697 | 19.8999996185303 | 19.7999992370605 | 19.5 | 19.2999992370605 | 18.7999992370605 | 18.2999992370605 | 17.7999992370605 | 17.2999992370605 | 16.7999992370605 | 16.3999996185303 | 16 | 15.5 | 15.5 | 15.3999996185303 | 15.6999998092651 | 16 | 16.7000007629395 | 16.7000007629395 | 16.2000007629395
United Kingdom | GBR | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 63.4000015258789 | 58.4000015258789 | 55.5 | 55.7999992370605 | 56 | 57.4000015258789 | 58.0999984741211 | 58.2000007629395 | 58 | 58.2999992370605 | 57.5999984741211 | 57.2999992370605 | 56.2000007629395 | 56.5 | 55.2999992370605 | 54.2999992370605 | 53.0999984741211 | 52.9000015258789 | 48.7000007629395 | 47.4000015258789 | 46.5999984741211 | 46.2999992370605
Georgia | GEO | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 24.2999992370605 | 27.5 | 26.7000007629395 | 26.1000003814697 | 25.1000003814697 | 26.5 | 26.8999996185303 | 26.7999992370605 | 27.7999992370605 | 28.3999996185303 | 28.2999992370605 | 23.3999996185303 | 27.6000003814697 | 22.2000007629395 | 23.2999992370605 | 22.6000003814697 | 21.6000003814697 | 20.2000007629395 | 19.7000007629395 | 20.2000007629395 | 20.5 | 21.2000007629395
Ghana | GHA | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 40.9000015258789 | 40.9000015258789 | 41.4000015258789 | 44.5999984741211 | 47.2000007629395 | 43.2000007629395 | 43.9000015258789 | 44.5 | 44.5 | 45.0999984741211 | 43.4000015258789 | 41.4000015258789 | 39.2999992370605 | 37.0999984741211 | 38.4000015258789 | 36.7000007629395 | 36.5 | 36.4000015258789 | 36.2000007629395 | 36.0999984741211 | 36.2000007629395 | 36.0999984741211
Guinea | GIN | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 51.0999984741211 | 51 | 51 | 50.9000015258789 | 50.9000015258789 | 50.9000015258789 | 50.7999992370605 | 50.7999992370605 | 50.7999992370605 | 50.9000015258789 | 50.9000015258789 | 51 | 50.9000015258789 | 51 | 51.0999984741211 | 51.2000007629395 | 51.2999992370605 | 51.4000015258789 | 51.5999984741211 | 51.7000007629395 | 51.7999992370605 | 51.9000015258789
Gambia, The | GMB | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 58.2999992370605 | 58.2000007629395 | 58 | 57.7999992370605 | 57.4000015258789 | 57.5 | 57.4000015258789 | 57.2999992370605 | 57.2000007629395 | 57.0999984741211 | 57.0999984741211 | 56.9000015258789 | 57.0999984741211 | 57 | 56.7999992370605 | 56.7000007629395 | 56.5999984741211 | 56.5 | 56.2999992370605 | 56.0999984741211 | 55.7000007629395 | 55.7000007629395
Guinea-Bissau | GNB | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 43.5 | 44.4000015258789 | 45.5 | 46.2999992370605 | 46.7999992370605 | 46.5 | 46.2000007629395 | 46.5999984741211 | 46.5999984741211 | 46.2999992370605 | 46.4000015258789 | 46.7999992370605 | 47.2999992370605 | 47.5999984741211 | 47.7999992370605 | 47.7999992370605 | 48 | 47.9000015258789 | 48 | 48 | 48.0999984741211 | 48.0999984741211
Equatorial Guinea | GNQ | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 67.0999984741211 | 68 | 67.9000015258789 | 68.0999984741211 | 68.1999969482422 | 68.8000030517578 | 69.1999969482422 | 67.8000030517578 | 67.6999969482422 | 67.3000030517578 | 67.6999969482422 | 67 | 66.6999969482422 | 66.9000015258789 | 66.3000030517578 | 66.1999969482422 | 66.4000015258789 | 66.4000015258789 | 66.0999984741211 | 66.0999984741211 | 66.3000030517578 | 66.1999969482422
Greece | GRC | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 30.7999992370605 | 30.2000007629395 | 28.7000007629395 | 28.2000007629395 | 28.5 | 27.7000007629395 | 26.7999992370605 | 29.6000003814697 | 28.6000003814697 | 28.7999992370605 | 27.1000003814697 | 27.5 | 26.2999992370605 | 27.6000003814697 | 25.6000003814697 | 25.2999992370605 | 25.2000007629395 | 24.6000003814697 | 23.7999992370605 | 21.1000003814697 | 17.2000007629395 | 13.8000001907349
Grenada | GRD | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Greenland | GRL | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Guatemala | GTM | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 54.0999984741211 | 53.5 | 54.5999984741211 | 54.5999984741211 | 52.5 | 53.4000015258789 | 51.9000015258789 | 52.2999992370605 | 54.0999984741211 | 54.5 | 54.7000007629395 | 52.9000015258789 | 53.2000007629395 | 52.9000015258789 | 55.2999992370605 | 57.7000007629395 | 57.7000007629395 | 57.4000015258789 | 57.4000015258789 | 57.0999984741211 | 56.5999984741211 | 56.7000007629395
Guam | GUM | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Guyana | GUY | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 30.6000003814697 | 37.7999992370605 | 34 | 29.7999992370605 | 25.3999996185303 | 27.2999992370605 | 29.1000003814697 | 27.6000003814697 | 28.7000007629395 | 32.7000007629395 | 26.8999996185303 | 24.2999992370605 | 27.2000007629395 | 26.3999996185303 | 26 | 26.6000003814697 | 30.2999992370605 | 30.1000003814697 | 30.5 | 29.1000003814697 | 27.6000003814697 | 27.1000003814697
High income | HIC | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 45.45186190690865 | 45.15516151032729 | 43.83567764947154 | 43.43000562249362 | 43.13749146274267 | 42.50795858415164 | 41.79125190310538 | 41.41055860103103 | 41.93355524651084 | 42.51826626695427 | 41.5895713228302 | 40.85795421352366 | 39.88461965307106 | 39.97334567221057 | 40.30125633859486 | 40.79563720093252 | 41.04529140665343 | 40.88204492597827 | 38.22026006127145 | 37.23133433608231 | 37.2535653473075 | 37.01016747570277
Hong Kong SAR, China | HKG | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 54.2999992370605 | 52.7000007629395 | 50.9000015258789 | 49.2000007629395 | 47 | 46.5999984741211 | 46.0999984741211 | 42.7999992370605 | 40 | 40.5999984741211 | 38.9000015258789 | 37.7999992370605 | 38 | 39.2999992370605 | 39 | 38.4000015258789 | 39 | 37.7000007629395 | 34.7999992370605 | 32.2999992370605 | 33.5999984741211 | 34.2000007629395
Honduras | HND | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 48.2999992370605 | 50 | 50.2999992370605 | 50.5 | 50.9000015258789 | 53.5 | 54.7999992370605 | 54.5999984741211 | 55.2999992370605 | 54.0999984741211 | 51.9000015258789 | 49.2999992370605 | 48.2999992370605 | 47 | 47.0999984741211 | 46.5999984741211 | 46.7000007629395 | 46.5 | 46.2999992370605 | 45 | 45 | 45.0999984741211
Heavily indebted poor countries (HIPC) | HPC | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 53.83315321266054 | 53.66702024209868 | 53.63415813540994 | 53.60766749082487 | 53.52455536559096 | 53.23955411387987 | 53.33723611950672 | 53.35757757965343 | 53.46247083221532 | 53.42254553448608 | 53.2340309248377 | 53.39287220515337 | 53.31722480456219 | 53.51443152818576 | 53.75113042573903 | 53.31606678293682 | 53.4341785145188 | 53.23858960578748 | 53.07450251296103 | 52.98481989978159 | 52.91474891407679 | 52.90812221780607
Croatia | HRV | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 26.8999996185303 | 33 | 33.0999984741211 | 33.0999984741211 | 32.5999984741211 | 32.2999992370605 | 32.2000007629395 | 29.7999992370605 | 27.8999996185303 | 26 | 23 | 26.1000003814697 | 25.2000007629395 | 26.7999992370605 | 26.1000003814697 | 26 | 27.2000007629395 | 27.3999996185303 | 25.5 | 22.3999996185303 | 19.3999996185303 | 16.2999992370605
Haiti | HTI | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 33.4000015258789 | 32.0999984741211 | 30.8999996185303 | 29.2999992370605 | 30.2999992370605 | 28.8999996185303 | 27.7999992370605 | 26.8999996185303 | 28.8999996185303 | 27.8999996185303 | 28.1000003814697 | 28.5 | 28.8999996185303 | 29 | 29.7000007629395 | 29.8999996185303 | 29.8999996185303 | 29.7000007629395 | 29.7999992370605 | 29.2999992370605 | 30.2000007629395 | 29.8999996185303
Hungary | HUN | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 37.7000007629395 | 35.9000015258789 | 32.0999984741211 | 31.2000007629395 | 31.8999996185303 | 30.8999996185303 | 31.2000007629395 | 33.7999992370605 | 34.2000007629395 | 33.0999984741211 | 31.6000003814697 | 29.2999992370605 | 27.2999992370605 | 23.7999992370605 | 21.7999992370605 | 21.5 | 20.7999992370605 | 20 | 18.1000003814697 | 18.3999996185303 | 18.2999992370605 | 18.7000007629395
Indonesia | IDN | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 42.0999984741211 | 46.9000015258789 | 43.2999992370605 | 41.5 | 44.7000007629395 | 45.4000015258789 | 44.5 | 38.7999992370605 | 45.5999984741211 | 45.2000007629395 | 42.5999984741211 | 40.2000007629395 | 40 | 38.7000007629395 | 36.4000015258789 | 36.7999992370605 | 39.0999984741211 | 39.5999984741211 | 39.9000015258789 | 39.2000007629395 | 39.9000015258789 | 39.5999984741211
Isle of Man | IMN | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
India | IND | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46.2000007629395 | 45.7000007629395 | 45 | 45.2999992370605 | 44.4000015258789 | 43.9000015258789 | 42.9000015258789 | 43.2000007629395 | 42.5999984741211 | 41.5999984741211 | 42.2000007629395 | 42 | 42.2999992370605 | 42.7000007629395 | 42.4000015258789 | 40.5999984741211 | 39.2000007629395 | 37.2000007629395 | 35.7000007629395 | 33.9000015258789 | 33.9000015258789 | 34
Not classified | INX | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Ireland | IRL | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 37.7999992370605 | 35.0999984741211 | 34 | 34.9000015258789 | 36.5999984741211 | 36 | 38.5999984741211 | 43.4000015258789 | 46.5999984741211 | 48.0999984741211 | 46.7999992370605 | 44.9000015258789 | 45.4000015258789 | 44.9000015258789 | 48.7000007629395 | 49.9000015258789 | 49.7000007629395 | 45.0999984741211 | 35.5999984741211 | 30.7000007629395 | 29 | 28.1000003814697
Iran, Islamic Rep. | IRN | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 28.5 | 27.2000007629395 | 26.5 | 25.7000007629395 | 25 | 24.2000007629395 | 24.3999996185303 | 24.7999992370605 | 25.2000007629395 | 24.5 | 25.6000003814697 | 25.5 | 26.3999996185303 | 28.2999992370605 | 27.5 | 26.2999992370605 | 25.3999996185303 | 23.2999992370605 | 23 | 22 | 22.1000003814697 | 22
Iraq | IRQ | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 20.5 | 20.6000003814697 | 22.1000003814697 | 21.3999996185303 | 20.6000003814697 | 19.8999996185303 | 19.7999992370605 | 19.6000003814697 | 20 | 19.6000003814697 | 19.2000007629395 | 18.8999996185303 | 14.3000001907349 | 14.1999998092651 | 18.5 | 18.6000003814697 | 18.8999996185303 | 19.7000007629395 | 19.6000003814697 | 19.6000003814697 | 19.5 | 19.5
Iceland | ISL | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 57 | 54.7999992370605 | 52.5 | 51.7000007629395 | 55.2000007629395 | 55.2999992370605 | 56.2999992370605 | 62.4000015258789 | 65.6999969482422 | 68.4000015258789 | 66.6999969482422 | 59.2000007629395 | 64 | 62.2999992370605 | 67.9000015258789 | 69.5999984741211 | 71.1999969482422 | 68.5 | 58.2999992370605 | 58.2000007629395 | 59.0999984741211 | 61.7999992370605
Israel | ISR | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 24.2999992370605 | 24.5 | 26.7999992370605 | 29.2000007629395 | 29.7999992370605 | 29.6000003814697 | 28.7999992370605 | 27.6000003814697 | 27.8999996185303 | 28.3999996185303 | 27.3999996185303 | 25.1000003814697 | 24.7999992370605 | 25.7999992370605 | 27.1000003814697 | 27 | 27.6000003814697 | 28.1000003814697 | 27.2999992370605 | 27.2999992370605 | 26.7999992370605 | 43.7000007629395
Italy | ITA | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 33.2000007629395 | 30.7999992370605 | 29.3999996185303 | 27.2000007629395 | 26.2999992370605 | 25.6000003814697 | 25.2999992370605 | 25.6000003814697 | 25.7000007629395 | 26.2000007629395 | 26.3999996185303 | 25.7999992370605 | 25.2999992370605 | 27.7999992370605 | 25.7999992370605 | 25.5 | 24.7999992370605 | 24.6000003814697 | 21.7999992370605 | 20.5 | 19.3999996185303 | 18.3999996185303
Jamaica | JAM | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 42.5999984741211 | 44.0999984741211 | 42.0999984741211 | 42.7000007629395 | 37.2999992370605 | 35.9000015258789 | 35.0999984741211 | 33.7000007629395 | 32.2000007629395 | 32.2000007629395 | 30.5 | 31.3999996185303 | 34.5 | 31 | 31.8999996185303 | 32.9000015258789 | 32.7999992370605 | 31.2000007629395 | 27.6000003814697 | 24.7000007629395 | 26.2000007629395 | 23.8999996185303
Jordan | JOR | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19.8999996185303 | 18.2999992370605 | 17.1000003814697 | 17.8999996185303 | 20.1000003814697 | 20.6000003814697 | 20.7999992370605 | 20.8999996185303 | 20.2999992370605 | 20.2000007629395 | 19.2000007629395 | 18.2000007629395 | 18.3999996185303 | 20 | 19 | 19.3999996185303 | 19.7999992370605 | 19.7000007629395 | 20.1000003814697 | 18.6000003814697 | 17.3999996185303 | 16.8999996185303
Japan | JPN | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 43 | 44.2999992370605 | 44.7000007629395 | 45 | 44.7000007629395 | 44.9000015258789 | 45.2000007629395 | 44.2999992370605 | 42.5 | 42.4000015258789 | 41.7999992370605 | 40.9000015258789 | 40.4000015258789 | 40 | 40.7000007629395 | 41.2999992370605 | 41.4000015258789 | 41.4000015258789 | 39.9000015258789 | 39.2000007629395 | 39.2000007629395 | 39
Kazakhstan | KAZ | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 44.9000015258789 | 45.7999992370605 | 45.9000015258789 | 48.2000007629395 | 45.9000015258789 | 44.5999984741211 | 44.5 | 44.2999992370605 | 43.9000015258789 | 44.0999984741211 | 45.4000015258789 | 42.9000015258789 | 43.5 | 42.5999984741211 | 43.9000015258789 | 43.2999992370605 | 42.9000015258789 | 43 | 43.5 | 44.0999984741211 | 44.7999992370605 | 45.5
Kenya | [NAME] | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46 | 44.9000015258789 | 43.9000015258789 | 42.9000015258789 | 41.9000015258789 | 40.7999992370605 | 39.7999992370605 | 38.7999992370605 | 37.9000015258789 | 36.9000015258789 | 36.0999984741211 | 35.2000007629395 | 34.4000015258789 | 33.7000007629395 | 33 | 33.0999984741211 | 33.0999984741211 | 33.0999984741211 | 33.0999984741211 | 33.0999984741211 | 33 | 32.9000015258789
Kyrgyz Republic | KGZ | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.7999992370605 | 42.2999992370605 | 42.4000015258789 | 42.9000015258789 | 42.2999992370605 | 41.7999992370605 | 41.7000007629395 | 40.5 | 41.4000015258789 | 41.7999992370605 | 41.2000007629395 | 38.2000007629395 | 38.7000007629395 | 38.4000015258789 | 39.2999992370605 | 39.7999992370605 | 39.9000015258789 | 40 | 39.5 | 39.7999992370605 | 40.2000007629395 | 40.5999984741211
Cambodia | KHM | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 69.4000015258789 | 69.6999969482422 | 70.1999969482422 | 70.5999984741211 | 69.5 | 67.5999984741211 | 66.5 | 65.8000030517578 | 64.5999984741211 | 63.5 | 67.4000015258789 | 69.9000015258789 | 72.5999984741211 | 75 | 74.5999984741211 | 73.5999984741211 | 72.5999984741211 | 71.3000030517578 | 70.4000015258789 | 70.3000030517578 | 70.0999984741211 | 70
Kiribati | KIR | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
St. Kitts and Nevis | KNA | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Korea, Rep. | KOR | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 36 | 35.7000007629395 | 34.5999984741211 | 35.7999992370605 | 36.2000007629395 | 35.9000015258789 | 34.7999992370605 | 29.3999996185303 | 29.7999992370605 | 31.1000003814697 | 31 | 31.8999996185303 | 31.1000003814697 | 31.7000007629395 | 30.8999996185303 | 28.8999996185303 | 27.7000007629395 | 25.2999992370605 | 24.1000003814697 | 24 | 24 | 24.8999996185303
Kosovo | KSV | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Kuwait | KWT | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 27.2000007629395 | 27.5 | 28.8999996185303 | 30.3999996185303 | 31.8999996185303 | 33.2999992370605 | 34.5 | 35.2000007629395 | 35.7000007629395 | 35.5999984741211 | 35.4000015258789 | 34.4000015258789 | 33.5 | 31.6000003814697 | 30.2000007629395 | 30.8999996185303 | 30.7999992370605 | 30.8999996185303 | 31.7999992370605 | 31.8999996185303 | 31.7999992370605 | 31.7000007629395
Latin America & Caribbean (developing only) | LAC | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 48.01933202739637 | 50.26797882600475 | 49.92488302171358 | 49.73224211657855 | 48.84274960782797 | 47.76419075085215 | 48.22588175283987 | 47.90323575933072 | 47.70893202740818 | 46.68447462569981 | 46.79245206263315 | 46.0404033694229 | 45.10578118582293 | 45.95486746437364 | 46.11940321466363 | 46.42993148281064 | 46.58691712760909 | 46.7199671946427 | 45.18539740894956 | 45.4698470566072 | 45.71487506813787 | 45.95026795974778
Lao PDR | LAO | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 71.9000015258789 | 71.3000030517578 | 70.8000030517578 | 70.0999984741211 | 69.4000015258789 | 69.9000015258789 | 69.0999984741211 | 68.5 | 67.9000015258789 | 67.1999969482422 | 66.5999984741211 | 65.9000015258789 | 64.8000030517578 | 63.5999984741211 | 64.5999984741211 | 64 | 63.4000015258789 | 62.7999992370605 | 62.2999992370605 | 61.7999992370605 | 61.5999984741211 | 61.5
Lebanon | LBN | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 23.8999996185303 | 24.2999992370605 | 24.3999996185303 | 24 | 24.2999992370605 | 24.2000007629395 | 24.6000003814697 | 24.5 | 24.6000003814697 | 24.6000003814697 | 24.3999996185303 | 24.1000003814697 | 23.8999996185303 | 23.6000003814697 | 23.2000007629395 | 22.8999996185303 | 22.2000007629395 | 22.1000003814697 | 22 | 22.1000003814697 | 22.3999996185303 | 22.7000007629395
Liberia | LBR | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 34.4000015258789 | 34.2999992370605 | 34.2000007629395 | 34 | 33.9000015258789 | 33.7000007629395 | 33.5999984741211 | 33.5 | 33.4000015258789 | 33.2999992370605 | 33.2999992370605 | 33.2999992370605 | 33.2000007629395 | 33.4000015258789 | 33.4000015258789 | 33.5 | 33.5 | 33.5999984741211 | 33.5 | 33.4000015258789 | 33.4000015258789 | 33.5
Libya | LBY | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 25.1000003814697 | 25.2999992370605 | 25.5 | 25.7000007629395 | 26.1000003814697 | 26.2999992370605 | 26.7000007629395 | 27.1000003814697 | 27.5 | 27.7999992370605 | 28.2000007629395 | 28.5 | 28.6000003814697 | 28.8999996185303 | 29 | 29.1000003814697 | 29.2000007629395 | 29.2000007629395 | 29.2000007629395 | 29 | 29.2999992370605 | 28.2000007629395
St. Lucia | LCA | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Latin America & Caribbean (all income levels) | LCN | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 47.30904869793057 | 49.49974686277971 | 49.26317877884488 | 49.11530749981004 | 48.24515042038524 | 47.20425284926385 | 47.65142284304375 | 47.30187837029527 | 47.04793348401923 | 46.03294423972664 | 46.11314871316942 | 45.35243022306344 | 44.44483933301479 | 45.26832918034759 | 45.44392407719728 | 45.74164456088916 | 45.90581646105275 | 46.05206880084458 | 44.50458607713022 | 44.89612026777515 | 45.16687474849608 | 45.39170942837966
Latin America and the Caribbean | LCR | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Least developed countries: UN classification | LDC | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 57.15932464586648 | 56.79953576147604 | 56.65312516424493 | 56.39428613619027 | 56.09955632392098 | 55.95404786550373 | 55.57213055492981 | 55.59574470809019 | 55.3335956032837 | 54.84989251098208 | 54.82765464043056 | 55.04350236188608 | 55.3380836485778 | 55.36924787733282 | 55.15637075850268 | 54.7091931087686 | 54.64301745405979 | 54.28612567372999 | 53.91941530681273 | 53.99676045864569 | 53.90232996066437 | 53.76974864038405
Low income | LIC | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 59.29817765890142 | 58.88480108092411 | 58.68800740846472 | 58.42426178468178 | 58.00326795756603 | 57.58675432025936 | 57.11545755650518 | 56.99296373080998 | 56.61554889051289 | 56.2389640239487 | 56.26586874424603 | 56.58626967709323 | 56.99970743415201 | 57.09055147390389 | 56.87309317017915 | 56.42702730281112 | 56.34505280376506 | 55.97098547426664 | 55.6253241504193 | 55.80958244202775 | 55.71789097039657 | 55.56206269459678
[NAME] | LIE | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
[NAME] | LKA | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 27.2000007629395 | 27.8999996185303 | 29.2000007629395 | 29.7999992370605 | 28.2999992370605 | 30.1000003814697 | 30.7999992370605 | 37 | 35.0999984741211 | 33.5 | 33.4000015258789 | 32.2999992370605 | 33.4000015258789 | 33.0999984741211 | 31.7999992370605 | 35.5999984741211 | 34.4000015258789 | 34.4000015258789 | 31.7000007629395 | 30.3999996185303 | 30.3999996185303 | 30.6000003814697
Lower middle income | LMC | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 43.44084897105051 | 43.77811313569595 | 42.82520261768526 | 42.81906427006027 | 42.6825864499279 | 42.47896533637226 | 41.71665356233306 | 41.22415742258179 | 41.60737406409351 | 40.62896143687569 | 40.57416257050889 | 40.15504439364373 | 40.44393078230075 | 40.55620950561116 | 40.28747028619726 | 39.4403034551159 | 38.84372447725696 | 37.85014769070378 | 37.12000132746007 | 36.20699342162798 | 36.25071976673652 | 36.31014554412344
Low & middle income | LMY | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 53.16560432169679 | 53.25920848400904 | 52.28373227335584 | 51.84839000460516 | 51.08094224372007 | 50.28758619547891 | 49.39976200308637 | 48.50569486201439 | 48.09102709866944 | 47.07887280606115 | 46.6510178998783 | 46.05528294183758 | 45.79781520565543 | 45.70877690438837 | 45.41270650086592 | 44.83935714838507 | 44.48527323225716 | 43.7014571940068 | 42.93208865433279 | 42.38562658710844 | 42.51458773815894 | 42.5225366363027
[NAME] | LSO | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 38.9000015258789 | 37.4000015258789 | 35.9000015258789 | 36.5 | 40.2000007629395 | 42.7000007629395 | 34.7000007629395 | 38.7999992370605 | 43 | 34.4000015258789 | 33.2999992370605 | 34.7000007629395 | 29.7000007629395 | 30.1000003814697 | 28.6000003814697 | 29.6000003814697 | 31.6000003814697 | 29.8999996185303 | 29.6000003814697 | 30.5 | 30 | 28.7999992370605
Lithuania | LTU | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 34.4000015258789 | 40.0999984741211 | 36 | 32.2000007629395 | 32 | 32.7000007629395 | 33.5 | 32.7000007629395 | 32 | 26.6000003814697 | 22.7000007629395 | 25.7000007629395 | 24.2999992370605 | 21 | 21.5 | 24 | 25.2999992370605 | 26.7999992370605 | 21.7999992370605 | 19.5 | 20.2999992370605 | 22.6000003814697
Luxembourg | LUX | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 51.7999992370605 | 48.7999992370605 | 45.4000015258789 | 42.2999992370605 | 37.7999992370605 | 36.4000015258789 | 34.0999984741211 | 32.5 | 30.8999996185303 | 31.7999992370605 | 32.0999984741211 | 32.2000007629395 | 26.8999996185303 | 23.3999996185303 | 25 | 23.5 | 22.5 | 24.2000007629395 | 26.7999992370605 | 21.5 | 20.7999992370605 | 22
Latvia | LVA | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 42.0999984741211 | 41.7000007629395 | 41.2999992370605 | 38.2000007629395 | 39.5999984741211 | 38.9000015258789 | 33.9000015258789 | 32.7999992370605 | 32.2000007629395 | 30.2000007629395 | 29 | 29.1000003814697 | 33.2000007629395 | 29.7999992370605 | 32.7000007629395 | 35.9000015258789 | 38.2999992370605 | 37.0999984741211 | 27.3999996185303 | 26 | 26 | 28.7999992370605
Macao SAR, China | MAC | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 45.5999984741211 | 45 | 50.7999992370605 | 48.7000007629395 | 48.2999992370605 | 50.4000015258789 | 46.0999984741211 | 43.0999984741211 | 40.2999992370605 | 39.0999984741211 | 40.5999984741211 | 35.7000007629395 | 32.5 | 33.7999992370605 | 37.5999984741211 | 39.9000015258789 | 44.9000015258789 | 46.0999984741211 | 46.5 | 47.5 | 47.7000007629395 | 49
St. Martin (French part) | MAF | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Morocco | MAR | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 39.5 | 40.0999984741211 | 40.4000015258789 | 40.0999984741211 | 40.7999992370605 | 40.4000015258789 | 40.7999992370605 | 40.5999984741211 | 38.2999992370605 | 37.2999992370605 | 34.4000015258789 | 34.2000007629395 | 35.5999984741211 | 36.9000015258789 | 35.5 | 33.5 | 32.5999984741211 | 31.6000003814697 | 30.1000003814697 | 29.6000003814697 | 29.6000003814697 | 29.8999996185303
Mexico and Central America | MCA | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Monaco | MCO | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Moldova | MDA | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 43.4000015258789 | 42.4000015258789 | 41.4000015258789 | 40.0999984741211 | 38.7999992370605 | 37.2999992370605 | 34.4000015258789 | 35 | 28.5 | 30.6000003814697 | 27.7999992370605 | 26.7999992370605 | 20.2000007629395 | 18.1000003814697 | 17.6000003814697 | 18.8999996185303 | 17.7000007629395 | 18.3999996185303 | 18.1000003814697 | 17.8999996185303 | 18.8999996185303 | 17.5
Madagascar | MDG | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 71.0999984741211 | 70.1999969482422 | 70.9000015258789 | 70.1999969482422 | 70.5999984741211 | 71.1999969482422 | 72.5 | 72.9000015258789 | 73 | 73.3000030517578 | 71.3000030517578 | 70.3000030517578 | 69.1999969482422 | 70.5999984741211 | 72 | 71.4000015258789 | 72.4000015258789 | 73.1999969482422 | 74.0999984741211 | 74.9000015258789 | 74.5999984741211 | 74.5999984741211
Maldives | MDV | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 31.7999992370605 | 31.2000007629395 | 30.5 | 29.6000003814697 | 29 | 29.1000003814697 | 29.2000007629395 | 29.2000007629395 | 29.1000003814697 | 29.5 | 31.1000003814697 | 32.9000015258789 | 34.9000015258789 | 36.4000015258789 | 38.7999992370605 | 41.0999984741211 | 40.0999984741211 | 40.5 | 40.2999992370605 | 40 | 40.2000007629395 | 40.4000015258789
Middle East & North Africa (all income levels) | MEA | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 26.47789532997015 | 26.38675229827253 | 26.1989099704877 | 25.93053676308215 | 25.76203057846427 | 25.65208366254691 | 25.65033971280061 | 25.46786307902671 | 26.25503338012999 | 24.63416712695216 | 24.01010622040462 | 24.06967744437728 | 24.51085406291362 | 25.27143850510364 | 25.49066379813015 | 24.82135501404132 | 24.7597574858369 | 24.3664063208354 | 24.19088459534218 | 23.80652356734622 | 23.33776508477217 | 23.53528734708116
Mexico | MEX | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 50.2999992370605 | 51.2000007629395 | 52.0999984741211 | 50.7999992370605 | 48.5999984741211 | 49 | 50.2000007629395 | 51.2000007629395 | 51.2999992370605 | 50 | 48.5 | 46.5 | 44.9000015258789 | 45 | 44.7000007629395 | 45.9000015258789 | 45.2000007629395 | 45.2000007629395 | 41.7999992370605 | 43.4000015258789 | 42.2000007629395 | 43.2999992370605
Marshall Islands | MHL | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Middle income | MIC | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 52.32941040115242 | 52.47504114754153 | 51.37007909643823 | 50.88837646184344 | 50.0479112889371 | 49.17553650248541 | 48.20129067354127 | 47.16444472091813 | 46.72463988021837 | 45.59488960770501 | 45.08225352661785 | 44.33009745521888 | 43.95790380074597 | 43.83330457833117 | 43.51423081172839 | 42.90520467525752 | 42.48614753848449 | 41.6065167504461 | 40.72800174612924 | 40.00416529337334 | 40.10956635156685 | 40.07270501385847
Macedonia, FYR | MKD | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 18.2999992370605 | 18.8999996185303 | 18.6000003814697 | 19.5 | 20.8999996185303 | 16.8999996185303 | 16.3999996185303 | 11.5 | 14.6999998092651 | 15.3999996185303 | 16.2000007629395 | 14.8000001907349 | 12 | 11.3999996185303 | 12.1000003814697 | 14.3000001907349 | 15.1000003814697 | 15.6000003814697 | 15.6000003814697 | 15.3999996185303 | 14.3999996185303 | 15.5
[NAME] | MLI | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 36.2000007629395 | 36.0999984741211 | 36.0999984741211 | 36.0999984741211 | 35.9000015258789 | 36.0999984741211 | 36.2999992370605 | 36.2000007629395 | 36.2999992370605 | 36.2999992370605 | 36.2999992370605 | 36.2999992370605 | 36.2000007629395 | 36.0999984741211 | 38.7999992370605 | 41.5 | 43.9000015258789 | 46.5999984741211 | 49.0999984741211 | 52 | 51.9000015258789 | 51.9000015258789
Malta | MLT | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 58.5 | 54.7999992370605 | 53.0999984741211 | 52.9000015258789 | 50.9000015258789 | 53.0999984741211 | 53 | 53.2999992370605 | 51.5999984741211 | 52.2999992370605 | 53.2999992370605 | 50.7000007629395 | 49.7000007629395 | 45.2000007629395 | 45.4000015258789 | 44.5999984741211 | 47.2000007629395 | 47.2000007629395 | 44.0999984741211 | 44.5999984741211 | 44.2000007629395 | 43.2000007629395
Myanmar | MMR | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 50.2999992370605 | 50.4000015258789 | 50.4000015258789 | 50.4000015258789 | 50.4000015258789 | 50.2999992370605 | 50.2000007629395 | 49.7999992370605 | 50.5999984741211 | 50.9000015258789 | 50.9000015258789 | 51.0999984741211 | 51.4000015258789 | 51.5999984741211 | 51.7000007629395 | 51.7000007629395 | 51.5999984741211 | 51.0999984741211 | 51.0999984741211 | 51 | 51 | 50.9000015258789
Middle East & North Africa (developing only) | MNA | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 26.47127835850067 | 26.46298100004439 | 26.38203717928172 | 26.13611292503918 | 26.00346353891275 | 25.96150598036259 | 26.00717164336091 | 25.84379690507139 | 26.63667317213229 | 24.83503708364744 | 24.22138469229973 | 24.40140550634796 | 24.93409612912556 | 25.74340531450574 | 25.8989774858269 | 25.12583918201393 | 24.91038366043229 | 24.36056312829123 | 24.07249355181957 | 23.51621687290556 | 22.85822740028634 | 22.83965853985449
Montenegro | MNE | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 24.3999996185303 | 25 | 24.6000003814697 | 22.5 | 16.7999992370605 | 15.3000001907349 | 20 | 19.6000003814697 | 20.6000003814697 | 14.6000003814697 | 20.3999996185303 | 20.3999996185303 | 20.3999996185303 | 14.8999996185303 | 13.8999996185303 | 17.2000007629395 | 20.1000003814697 | 23.3999996185303 | 18.5 | 13.6000003814697 | 13.1000003814697 | 18
Mongolia | MNG | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 38.0999984741211 | 39.7000007629395 | 40.4000015258789 | 39.2999992370605 | 37.4000015258789 | 38.4000015258789 | 37.5 | 37.2999992370605 | 37 | 37.4000015258789 | 36.5 | 35.4000015258789 | 35.7000007629395 | 34.7000007629395 | 33.2000007629395 | 34.4000015258789 | 33.9000015258789 | 32.2000007629395 | 33.2999992370605 | 30.2000007629395 | 32.0999984741211 | 32
Northern Mariana Islands | MNP | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Mozambique | MOZ | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 64.5999984741211 | 64.5 | 65.0999984741211 | 65.0999984741211 | 65.0999984741211 | 65.5 | 65.3000030517578 | 64.4000015258789 | 63.4000015258789 | 62.2999992370605 | 61.7000007629395 | 60.7000007629395 | 59.5999984741211 | 59.4000015258789 | 59.0999984741211 | 58.7999992370605 | 58.5 | 58.2000007629395 | 57.9000015258789 | 57.5999984741211 | 57.5 | 57.2999992370605
Mauritania | MRT | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19.2999992370605 | 19.3999996185303 | 19.3999996185303 | 19.6000003814697 | 19.6000003814697 | 19.7000007629395 | 19.8999996185303 | 20.1000003814697 | 20.2000007629395 | 20.3999996185303 | 20.5 | 20.7000007629395 | 20.7999992370605 | 20.6000003814697 | 20.7999992370605 | 20.7999992370605 | 21.2999992370605 | 21.5 | 21.7000007629395 | 21.7999992370605 | 21.8999996185303 | 21.8999996185303
[NAME] | MUS | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.7000007629395 | 41.5 | 41.0999984741211 | 40.7999992370605 | 40.7000007629395 | 40.9000015258789 | 41 | 40 | 39 | 39.7999992370605 | 40.4000015258789 | 38.7000007629395 | 36.9000015258789 | 33.7000007629395 | 32.4000015258789 | 33.9000015258789 | 33.2999992370605 | 33.7000007629395 | 32.0999984741211 | 31.8999996185303 | 32.7000007629395 | 32.5999984741211
[NAME] | MWI | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 47.5999984741211 | 46.9000015258789 | 46.9000015258789 | 46.2000007629395 | 46.5 | 46.4000015258789 | 46.2999992370605 | 46.2000007629395 | 48.5999984741211 | 50.9000015258789 | 53 | 55.2999992370605 | 57.5 | 59.7000007629395 | 61.7000007629395 | 57.5999984741211 | 53.2000007629395 | 51.5 | 51.5999984741211 | 51.7000007629395 | 51.7000007629395 | 51.7999992370605
Malaysia | MYS | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46.2999992370605 | 45.2999992370605 | 44.2999992370605 | 44.4000015258789 | 45 | 45.5 | 45.2000007629395 | 44 | 43.5999984741211 | 45 | 43.0999984741211 | 42.0999984741211 | 41.0999984741211 | 40.2999992370605 | 39.4000015258789 | 38.7000007629395 | 37.7000007629395 | 36.7999992370605 | 35.5999984741211 | 35.0999984741211 | 35.5999984741211 | 35.7000007629395
North America | NAC | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 54.14628819782313 | 53.25778138563624 | 53.57048028163153 | 54.78220652833767 | 55.15334967082924 | 54.6854600404189 | 54.84052655141847 | 55.84256042796699 | 56.04638929484304 | 56.38090660212162 | 54.39974432393929 | 52.42070702052705 | 50.85522773801046 | 50.64418517357337 | 50.72499318716654 | 51.34353024160337 | 50.45339468700831 | 48.75641019998858 | 44.4699161617789 | 42.51303173380498 | 42.72730003464923 | 43.34155509983471
Namibia | NAM | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 24.1000003814697 | 23.8999996185303 | 23.7999992370605 | 24.8999996185303 | 23.1000003814697 | 21.3999996185303 | 19.7000007629395 | 19.2000007629395 | 18.6000003814697 | 17.2999992370605 | 18.2999992370605 | 22.1000003814697 | 19.7999992370605 | 20.2999992370605 | 22.1000003814697 | 21.2999992370605 | 24.2000007629395 | 15.8000001907349 | 18.1000003814697 | 19.7000007629395 | 19.8999996185303 | 20.5
New Caledonia | NCL | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
[NAME] | NER | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46.7000007629395 | 47.2000007629395 | 47.7999992370605 | 48.4000015258789 | 48.7000007629395 | 49 | 49.2000007629395 | 49.4000015258789 | 49.5999984741211 | 49.7000007629395 | 50 | 50.5 | 51.0999984741211 | 51.5999984741211 | 52.0999984741211 | 52.2000007629395 | 52.4000015258789 | 52.5999984741211 | 52.7000007629395 | 52.7999992370605 | 52.9000015258789 | 53
Nigeria | NGA | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 28.8999996185303 | 29 | 29.2000007629395 | 29.3999996185303 | 29.6000003814697 | 29.7999992370605 | 30 | 30.2000007629395 | 30.5 | 30.7000007629395 | 30.8999996185303 | 31 | 31.3999996185303 | 31.6000003814697 | 31.7999992370605 | 31.8999996185303 | 32 | 32.0999984741211 | 32.0999984741211 | 32.2000007629395 | 32.2999992370605 | 32.4000015258789
Nicaragua | NIC | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46 | 46.0999984741211 | 46.0999984741211 | 46.9000015258789 | 46.9000015258789 | 46.5999984741211 | 46.2999992370605 | 44.5999984741211 | 45.5999984741211 | 46.2000007629395 | 45.9000015258789 | 45.5999984741211 | 41.9000015258789 | 42.9000015258789 | 43.5999984741211 | 43.5999984741211 | 44.2999992370605 | 43.4000015258789 | 43 | 42.0999984741211 | 42.2999992370605 | 42.5999984741211
Netherlands | NLD | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 53.4000015258789 | 55.5 | 53.7000007629395 | 53.5 | 54.5 | 54.5 | 57.4000015258789 | 60.7000007629395 | 62.7999992370605 | 68.4000015258789 | 70.1999969482422 | 70.3000030517578 | 68.5999984741211 | 66.1999969482422 | 65.1999969482422 | 66.3000030517578 | 68.5 | 69.3000030517578 | 68 | 63 | 63.4000015258789 | 63.2000007629395
High income: nonOECD | NOC | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 38.66880487324213 | 43.01872500524634 | 41.08693157170256 | 39.04194439391151 | 37.76197063694381 | 35.53940672574049 | 31.73665671771421 | 28.96385205022122 | 32.24007624079386 | 32.5758584069181 | 31.44034145424523 | 31.91165392684663 | 30.68540043282966 | 30.76158167957037 | 31.23324486778273 | 31.03624329474477 | 32.0654344979535 | 33.58281255255993 | 32.15665970927031 | 31.89019541296599 | 32.34687553516644 | 31.33677200838531
Norway | NOR | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 49 | 47.5 | 46.4000015258789 | 47.2000007629395 | 48 | 51.2999992370605 | 54.2000007629395 | 57.0999984741211 | 57 | 57.2999992370605 | 55.5 | 56 | 54 | 53.2000007629395 | 51.7999992370605 | 53.2999992370605 | 55.2999992370605 | 58.0999984741211 | 53.2999992370605 | 52 | 51.2000007629395 | 52.4000015258789
Nepal | NPL | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 78.6999969482422 | 79.0999984741211 | 78.8000030517578 | 78.5999984741211 | 78.4000015258789 | 75.6999969482422 | 76.8000030517578 | 77.8000030517578 | 79.5 | 77.5999984741211 | 75.5999984741211 | 76.0999984741211 | 76.3000030517578 | 75.6999969482422 | 74.5 | 73.6999969482422 | 73.1999969482422 | 72.4000015258789 | 72.4000015258789 | 72.3000030517578 | 72.1999969482422 | 72.0999984741211
New Zealand | NZL | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 54.2000007629395 | 52.7999992370605 | 53 | 55.7000007629395 | 58.9000015258789 | 58.9000015258789 | 57.7000007629395 | 55.2000007629395 | 54.0999984741211 | 54.2000007629395 | 55.4000015258789 | 56.2000007629395 | 56 | 56.2000007629395 | 56.5 | 58.2999992370605 | 58.4000015258789 | 56.2999992370605 | 51.7999992370605 | 50.0999984741211 | 49.7000007629395 | 49.2000007629395
High income: OECD | OEC | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46.84602906528369 | 45.59537486011143 | 44.41361844425515 | 44.37391986708344 | 44.33234424109284 | 44.09778852002953 | 44.14424255592907 | 44.39735081910771 | 44.31466578409415 | 45.01148481577507 | 44.18343827721663 | 43.18222362049531 | 42.3039753634533 | 42.41746117653012 | 42.72090129030516 | 43.40637157748761 | 43.44840875239264 | 42.82811835156003 | 39.82110789637468 | 38.61989646484236 | 38.49727616864185 | 38.40202327236253
OECD members | OED | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 47.2081205722187 | 46.12739852706085 | 44.94959970686354 | 44.9784936666014 | 44.56097091514039 | 44.47804480240652 | 44.54452962499917 | 44.82698306355599 | 44.79826954029213 | 44.96795066249008 | 43.98402439913431 | 42.75858001179734 | 41.66969687753797 | 41.74902735822977 | 41.96547487127631 | 42.66866092498267 | 42.60683222086255 | 42.13828678656619 | 39.20763649804705 | 38.56789248523728 | 38.45827769408265 | 38.48910820676978
Oman | OMN | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 28.2999992370605 | 27.6000003814697 | 26.8999996185303 | 26.6000003814697 | 26.5 | 27 | 27.5 | 28.2000007629395 | 28.7999992370605 | 28.7999992370605 | 28.2000007629395 | 27.7000007629395 | 27.2999992370605 | 26.8999996185303 | 27 | 27.3999996185303 | 28.1000003814697 | 28.7999992370605 | 30.5 | 32.0999984741211 | 33.9000015258789 | 35.7000007629395
Other small states | OSS | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 37.56497319228482 | 37.72243811673648 | 37.19396898427703 | 37.00019949617819 | 36.97492960926727 | 37.25466959897125 | 36.40616181915855 | 37.95679332128093 | 36.31466775789598 | 34.72887282669167 | 35.25221085316858 | 36.01565171062374 | 34.70987502613559 | 34.51925932860436 | 34.48181079323926 | 35.09952641498938 | 36.05584320802244 | 33.61672298565746 | 34.62911894424572 | 33.89630942838689 | 33.80086907870495 | 33.8819696828647
Pakistan | PAK | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 38.2999992370605 | 38.9000015258789 | 37.9000015258789 | 37.7000007629395 | 35.9000015258789 | 36.5999984741211 | 37.2999992370605 | 37.0999984741211 | 36.7000007629395 | 35.7000007629395 | 36.5 | 37.7000007629395 | 38.0999984741211 | 39 | 40.2999992370605 | 42.4000015258789 | 41.5999984741211 | 40.9000015258789 | 41.4000015258789 | 41.5999984741211 | 41.5999984741211 | 41.5999984741211
Panama | PAN | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 33.4000015258789 | 35.7000007629395 | 37.9000015258789 | 37.2999992370605 | 37.7000007629395 | 36 | 37.0999984741211 | 36.5999984741211 | 38.5999984741211 | 36 | 35.2000007629395 | 35.5 | 36.2999992370605 | 37.2000007629395 | 39.2999992370605 | 38.4000015258789 | 40.5999984741211 | 43.2000007629395 | 42.7999992370605 | 41.5 | 42.9000015258789 | 42.9000015258789
Peru | PER | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 42.9000015258789 | 43.7999992370605 | 44.5 | 47.9000015258789 | 50.9000015258789 | 51 | 52.7999992370605 | 54.7000007629395 | 56.7999992370605 | 51.9000015258789 | 55.9000015258789 | 50.9000015258789 | 45.9000015258789 | 47 | 47.2000007629395 | 50.0999984741211 | 56.5 | 57.7000007629395 | 56.9000015258789 | 57.2999992370605 | 57.4000015258789 | 57.4000015258789
Philippines | PHL | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 42.2000007629395 | 42.7999992370605 | 42.0999984741211 | 42 | 43.2999992370605 | 44 | 42.2999992370605 | 41.7000007629395 | 40.5 | 37.2000007629395 | 41 | 36.9000015258789 | 39.5 | 38 | 39.2999992370605 | 37.5999984741211 | 36.4000015258789 | 37.2000007629395 | 38.0999984741211 | 39.9000015258789 | 40.9000015258789 | 40.7000007629395
Palau | PLW | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
[NAME] | PNG | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 57 | 55.5999984741211 | 53.5999984741211 | 52.7999992370605 | 53.5999984741211 | 53.2999992370605 | 53.7999992370605 | 55.2999992370605 | 55.2999992370605 | 56 | 56.4000015258789 | 56.9000015258789 | 57.0999984741211 | 56.9000015258789 | 56.9000015258789 | 56.7999992370605 | 56.2999992370605 | 55.7000007629395 | 55.4000015258789 | 54.7999992370605 | 54.7999992370605 | 54.7000007629395
Poland | POL | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 33.9000015258789 | 32.7999992370605 | 30.2000007629395 | 27.7999992370605 | 26.8999996185303 | 27.2000007629395 | 28 | 27.6000003814697 | 22.5 | 23.7999992370605 | 21.7000007629395 | 19.7000007629395 | 19.3999996185303 | 19.7000007629395 | 20.2999992370605 | 24.2999992370605 | 26.2999992370605 | 28.1000003814697 | 27.6000003814697 | 26.7000007629395 | 25.2000007629395 | 24.8999996185303
Puerto Rico | PRI | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 20.3999996185303 | 19.6000003814697 | 23.2000007629395 | 24.1000003814697 | 23.8999996185303 | 24.3999996185303 | 26.3999996185303 | 27.2999992370605 | 28.2000007629395 | 27.7000007629395 | 27.1000003814697 | 27 | 28 | 28.5 | 29.2000007629395 | 27.2000007629395 | 24.5 | 22.3999996185303 | 20.2999992370605 | 16.3999996185303 | 16.2000007629395 | 16.8999996185303
Korea, Dem. Rep. | PRK | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 72.8000030517578 | 72.5999984741211 | 72.5 | 72.1999969482422 | 71.5999984741211 | 68.3000030517578 | 67.5 | 66.5999984741211 | 66.4000015258789 | 65.4000015258789 | 64.5 | 64.1999969482422 | 63.5999984741211 | 62.5999984741211 | 61.7999992370605 | 60.7999992370605 | 59.2999992370605 | 57.9000015258789 | 57.2999992370605 | 57.0999984741211 | 56.9000015258789 | 56.5
Portugal | PRT | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 50.5999984741211 | 45.5 | 41.2000007629395 | 38.7999992370605 | 36 | 35.5999984741211 | 37.9000015258789 | 41.9000015258789 | 41.9000015258789 | 41.7999992370605 | 42.5999984741211 | 42 | 38.5 | 36.7999992370605 | 35.7999992370605 | 35.5 | 35 | 34.9000015258789 | 31.7000007629395 | 28.6000003814697 | 27.1000003814697 | 23.3999996185303
Paraguay | PRY | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 63.2999992370605 | 65.6999969482422 | 62.5 | 63.5999984741211 | 67.6999969482422 | 63.0999984741211 | 58.4000015258789 | 55 | 54 | 52.7000007629395 | 52.5999984741211 | 49.5 | 51.5 | 51.9000015258789 | 53.5 | 52.2000007629395 | 52.5 | 54.0999984741211 | 56.0999984741211 | 52.5 | 52.7000007629395 | 52.2000007629395
Pacific island small states | PSS | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
French Polynesia | PYF | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Qatar | QAT | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 55 | 55.5 | 57.2000007629395 | 58 | 57.2999992370605 | 54.9000015258789 | 50.5 | 48 | 46 | 44.5999984741211 | 44.0999984741211 | 43.9000015258789 | 45.2999992370605 | 47.5999984741211 | 53.5999984741211 | 59.2999992370605 | 63.7999992370605 | 66.6999969482422 | 68.3000030517578 | 68.4000015258789 | 68 | 67.4000015258789
Romania | [NAME] | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46.7000007629395 | 46.2000007629395 | 43.9000015258789 | 41.5999984741211 | 40.2999992370605 | 38.5 | 38.5 | 37.7000007629395 | 36.7000007629395 | 35.5999984741211 | 34 | 29.6000003814697 | 27.7000007629395 | 28 | 24.8999996185303 | 24.1000003814697 | 24.3999996185303 | 24.8999996185303 | 24.7000007629395 | 24.2999992370605 | 23.7999992370605 | 23.8999996185303
Russian Federation | RUS | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 40.7000007629395 | 46.5999984741211 | 44.4000015258789 | 41.9000015258789 | 40.5 | 37.5999984741211 | 32.5 | 29.1000003814697 | 33.7999992370605 | 34.4000015258789 | 33.2999992370605 | 34.2999992370605 | 32.7000007629395 | 32.7999992370605 | 33.2999992370605 | 33 | 34.2000007629395 | 36.5 | 34.7999992370605 | 34.4000015258789 | 34.9000015258789 | 33.4000015258789
Rwanda | RWA | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 79.9000015258789 | 79.8000030517578 | 79.5999984741211 | 79.3000030517578 | 79.0999984741211 | 78.8000030517578 | 78.0999984741211 | 77.3000030517578 | 76.4000015258789 | 75.4000015258789 | 74.3000030517578 | 73.8000030517578 | 73.3000030517578 | 72.9000015258789 | 72.6999969482422 | 72.6999969482422 | 72.8000030517578 | 72.9000015258789 | 73 | 73.0999984741211 | 72.8000030517578 | 72.4000015258789
South Asia | SAS | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 47.28666951775931 | 46.86026122522443 | 46.20432833486883 | 46.37445049075655 | 45.44864577405777 | 45.10735096018352 | 44.27780879050606 | 44.60334245625483 | 43.89342245289437 | 42.8360232903448 | 43.30906506152458 | 43.26585914336618 | 43.6417056235758 | 43.92508529519509 | 43.67419185576799 | 42.5553542318173 | 41.36640701578149 | 39.74544830344738 | 38.5567889361395 | 37.37869936457707 | 37.37864446625968 | 37.4064100337978
Saudi Arabia | SAU | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 23.7999992370605 | 22.3999996185303 | 19.5 | 17.6000003814697 | 15.8999996185303 | 14.6999998092651 | 14 | 13.6999998092651 | 14.8999996185303 | 15.1000003814697 | 14.5 | 13.8999996185303 | 13.6000003814697 | 13.8999996185303 | 14.1000003814697 | 12.8999996185303 | 12.8000001907349 | 12.5 | 11.8000001907349 | 12 | 13.3999996185303 | 12.8000001907349
[NAME] | SCE | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Sudan | SDN | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 31.3999996185303 | 30.7000007629395 | 29.7999992370605 | 29 | 28.2000007629395 | 27.3999996185303 | 27 | 27.2000007629395 | 27.2000007629395 | 27.2000007629395 | 27.2999992370605 | 27.2000007629395 | 27.2000007629395 | 27.2000007629395 | 27.2000007629395 | 27 | 27 | 26.8999996185303 | 26.7999992370605 | 26.7999992370605 | 26.8999996185303 | 26.7999992370605
Senegal | SEN | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 58.7000007629395 | 58.5999984741211 | 58.5 | 58.4000015258789 | 58.4000015258789 | 58.2000007629395 | 58.2000007629395 | 58.0999984741211 | 58.0999984741211 | 57.9000015258789 | 57.7999992370605 | 57.5999984741211 | 57.7000007629395 | 57.5999984741211 | 57.5 | 57.4000015258789 | 57.4000015258789 | 57.2999992370605 | 57.2000007629395 | 57.2000007629395 | 57.0999984741211 | 57
Singapore | SGP | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 52.0999984741211 | 52.2000007629395 | 50.5 | 48.5999984741211 | 47.5999984741211 | 45.4000015258789 | 42.4000015258789 | 37.0999984741211 | 38.2999992370605 | 42.2000007629395 | 36.7000007629395 | 31.6000003814697 | 31.7000007629395 | 33 | 34.2000007629395 | 35.5999984741211 | 34.9000015258789 | 34.0999984741211 | 30.7999992370605 | 35.2999992370605 | 33.2000007629395 | 34.2000007629395
Solomon Islands | SLB | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 42.7999992370605 | 43.2999992370605 | 43.0999984741211 | 43.5999984741211 | 43.9000015258789 | 43.5999984741211 | 43.5999984741211 | 43.9000015258789 | 43.9000015258789 | 43 | 43.4000015258789 | 43.7000007629395 | 44.0999984741211 | 44.0999984741211 | 44.2999992370605 | 43.5999984741211 | 43.5999984741211 | 43.5 | 42.7000007629395 | 43.4000015258789 | 43.5999984741211 | 43.2999992370605
Sierra Leone | SLE | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 38.0999984741211 | 38.0999984741211 | 38.2000007629395 | 38.2000007629395 | 38.2000007629395 | 38.0999984741211 | 38.2000007629395 | 38.2999992370605 | 38.2999992370605 | 38.5 | 38.5999984741211 | 38.7999992370605 | 38.9000015258789 | 41.7999992370605 | 42 | 42.0999984741211 | 42.2000007629395 | 42.2000007629395 | 42.2000007629395 | 42.0999984741211 | 42 | 41.9000015258789
El Salvador | SLV | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46 | 44.5999984741211 | 44.2999992370605 | 45.7000007629395 | 44.2000007629395 | 42.2000007629395 | 41 | 44.5 | 42.9000015258789 | 41.7999992370605 | 40.5999984741211 | 40.0999984741211 | 42.7000007629395 | 41.2999992370605 | 41.2999992370605 | 42.2999992370605 | 42 | 43.4000015258789 | 42.2999992370605 | 43 | 43 | 43
[NAME] | SMR | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Somalia | SOM | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 42.4000015258789 | 42.2999992370605 | 42.0999984741211 | 41.9000015258789 | 41.7999992370605 | 41.5999984741211 | 41.4000015258789 | 41.2000007629395 | 41.0999984741211 | 40.9000015258789 | 40.7000007629395 | 40.5 | 40.2999992370605 | 40.2000007629395 | 40 | 39.7999992370605 | 39.7000007629395 | 39.5 | 39.2999992370605 | 39.0999984741211 | 39.0999984741211 | 39.0999984741211
Serbia | SRB | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 28.1000003814697 | 26.6000003814697 | 23.5 | 25.2999992370605 | 26.7999992370605 | 26.8999996185303 | 26.3999996185303 | 26.5 | 26.3999996185303 | 27.2999992370605 | 27 | 26 | 24.6000003814697 | 21.6000003814697 | 19.3999996185303 | 19.7000007629395 | 18.8999996185303 | 21.2000007629395 | 16.5 | 15.3000001907349 | 15.5 | 15.5
Sub-Saharan Africa (developing only) | SSA | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46.52701503118951 | 46.45582258846331 | 46.36799078655979 | 46.68242695181571 | 46.76092090646756 | 46.33739507422743 | 46.24149072074596 | 46.34263287431594 | 46.29405698782147 | 46.40528198600982 | 46.33821947576461 | 46.60099795992664 | 46.63982271763838 | 46.97289900818047 | 47.28758398350816 | 47.1313722454892 | 47.27423673348966 | 47.19035306240681 | 47.04537054209782 | 46.98973876926213 | 47.02260663928593 | 47.10452726569791
South Sudan | SSD | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Sub-Saharan Africa (all income levels) | SSF | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46.54138494362657 | 46.46985232923556 | 46.38110748790126 | 46.69474601845972 | 46.77273360033345 | 46.34944683458333 | 46.25368497760648 | 46.35410326386293 | 46.30575251753613 | 46.41710146194725 | 46.35087421772248 | 46.61374670514139 | 46.65306778549574 | 46.98672957575014 | 47.30134155538891 | 47.14564128554585 | 47.28893602792058 | 47.20541779407152 | 47.06052684714727 | 47.00507194975965 | 47.03812505662965 | 47.11987402017589
Small states | SST | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 37.83955970368538 | 38.19077663837724 | 37.44502874493825 | 37.31590680058763 | 36.60425030026423 | 36.80480986861852 | 36.16614280498805 | 37.00535895829817 | 35.7768749985426 | 34.89261061605949 | 35.00294408445102 | 35.52484770207173 | 34.91754416605945 | 34.76123269357424 | 34.88505187303848 | 35.47611479505429 | 36.22593278873205 | 34.18900200309396 | 34.38969293532455 | 33.42110536962509 | 33.43892045916164 | 33.27244206456055
Sao Tome and Principe | STP | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Suriname | SUR | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 26 | 20.7999992370605 | 22 | 22.7999992370605 | 21.7000007629395 | 21 | 20.6000003814697 | 19.8999996185303 | 18 | 18 | 18.5 | 18.5 | 19 | 19.3999996185303 | 19.2999992370605 | 19.5 | 19.6000003814697 | 19.6000003814697 | 19.3999996185303 | 19.5 | 19.3999996185303 | 19.1000003814697
Slovak Republic | SVK | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 47.5999984741211 | 44.5999984741211 | 40.4000015258789 | 34.7000007629395 | 35 | 36.7999992370605 | 36.2999992370605 | 35 | 31.2000007629395 | 29.1000003814697 | 28.1000003814697 | 27.3999996185303 | 27.7000007629395 | 26.7000007629395 | 25.7000007629395 | 25.7000007629395 | 27.5 | 26.2999992370605 | 22.7999992370605 | 20.7000007629395 | 20.2999992370605 | 20.2999992370605
Slovenia | SVN | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 28.2000007629395 | 29.2999992370605 | 21.6000003814697 | 31.1000003814697 | 32.5999984741211 | 36 | 37.7000007629395 | 35.5999984741211 | 32.7999992370605 | 31.2999992370605 | 30.1000003814697 | 29.8999996185303 | 28.5 | 33.5 | 34.0999984741211 | 35 | 37.7000007629395 | 38 | 34.9000015258789 | 33.7999992370605 | 31.2000007629395 | 27.1000003814697
Sweden | SWE | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 57.5999984741211 | 49.4000015258789 | 39.9000015258789 | 38.9000015258789 | 39.7000007629395 | 37.4000015258789 | 36.7999992370605 | 39.0999984741211 | 41.2000007629395 | 44.2999992370605 | 45.4000015258789 | 44.0999984741211 | 42.5999984741211 | 40 | 40 | 41.5999984741211 | 41.9000015258789 | 41.7000007629395 | 37.7999992370605 | 38 | 40 | 39.2000007629395
Swaziland | SWZ | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 27.1000003814697 | 27 | 26.8999996185303 | 26.7999992370605 | 26.8999996185303 | 26.7000007629395 | 26.5 | 26.3999996185303 | 26.2999992370605 | 26.1000003814697 | 26 | 25.8999996185303 | 25.8999996185303 | 25.7999992370605 | 25.7999992370605 | 25.7999992370605 | 25.7999992370605 | 25.7999992370605 | 25.7999992370605 | 25.7999992370605 | 25.7999992370605 | 25.8999996185303
Sint Maarten (Dutch part) | SXM | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Seychelles | SYC | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Syrian Arab Republic | SYR | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 36.5999984741211 | 37.2000007629395 | 39.7999992370605 | 40.5 | 41.5 | 38.4000015258789 | 38 | 38.7000007629395 | 37.2999992370605 | 34.2000007629395 | 32.0999984741211 | 29.7000007629395 | 33 | 31.1000003814697 | 29.3999996185303 | 27.8999996185303 | 27.2000007629395 | 25.7000007629395 | 25.3999996185303 | 24.5 | 24.5 | 24.3999996185303
Turks and Caicos Islands | TCA | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Chad | TCD | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 49.5999984741211 | 49.5 | 49.5 | 49.5999984741211 | 49.5 | 49.5 | 49.5 | 49.5 | 49.4000015258789 | 49.4000015258789 | 49.5 | 49.5 | 49.5 | 49.7999992370605 | 49.4000015258789 | 49.2000007629395 | 49.2000007629395 | 49.2000007629395 | 49.0999984741211 | 49.2999992370605 | 49.0999984741211 | 49.2000007629395
Togo | TGO | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 56.4000015258789 | 56.4000015258789 | 56.2000007629395 | 56.9000015258789 | 56.9000015258789 | 57 | 57 | 57 | 57.2000007629395 | 57.2000007629395 | 57.2999992370605 | 57.4000015258789 | 57.5999984741211 | 57.5999984741211 | 57.5999984741211 | 57.7000007629395 | 57.7000007629395 | 57.7000007629395 | 57.7000007629395 | 57.7000007629395 | 57.5999984741211 | 57.5
Thailand | THA | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 69.4000015258789 | 68.5 | 64.9000015258789 | 62.2000007629395 | 60.5999984741211 | 58.9000015258789 | 57.5 | 52 | 48.5999984741211 | 49.2000007629395 | 49.2999992370605 | 49.2000007629395 | 48.2000007629395 | 49.2999992370605 | 49.0999984741211 | 46.2999992370605 | 47.0999984741211 | 46.4000015258789 | 45.7999992370605 | 45.7000007629395 | 46.4000015258789 | 46.5999984741211
Tajikistan | TJK | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 40.2000007629395 | 40.5999984741211 | 40.0999984741211 | 40.2000007629395 | 39.7999992370605 | 39.0999984741211 | 38.5999984741211 | 38.0999984741211 | 37.7999992370605 | 37.4000015258789 | 37.0999984741211 | 36.9000015258789 | 36.7999992370605 | 36.7000007629395 | 36.9000015258789 | 37 | 37.2000007629395 | 37.5 | 37.7999992370605 | 37.7999992370605 | 37.9000015258789 | 37.7999992370605
Turkmenistan | TKM | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 35.5 | 35.5 | 35.5 | 35.5 | 35.0999984741211 | 34.7999992370605 | 34.7000007629395 | 34.2999992370605 | 34.2000007629395 | 34.2000007629395 | 34.2000007629395 | 34.2000007629395 | 34.0999984741211 | 34.0999984741211 | 34.0999984741211 | 34.2000007629395 | 34.2000007629395 | 34.2999992370605 | 34.7000007629395 | 34.7999992370605 | 34.9000015258789 | 35.4000015258789
Timor-Leste | TLS | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 44.4000015258789 | 44.2000007629395 | 43.9000015258789 | 43.4000015258789 | 42.2999992370605 | 41 | 39.4000015258789 | 38.7000007629395 | 37.5 | 34.5 | 35.0999984741211 | 32.4000015258789 | 29.8999996185303 | 27.3999996185303 | 24.7999992370605 | 22.1000003814697 | 19 | 16.3999996185303 | 14.1000003814697 | 12.3000001907349 | 12.3999996185303 | 12.6000003814697
Tonga | TON | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Trinidad and Tobago | TTO | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 32.9000015258789 | 32.2000007629395 | 32.5 | 34.0999984741211 | 35.5 | 37.2000007629395 | 37.5999984741211 | 37.5 | 38 | 39.2999992370605 | 39.7999992370605 | 39.5999984741211 | 40.7000007629395 | 44.2000007629395 | 45.4000015258789 | 46.9000015258789 | 47.9000015258789 | 46.7000007629395 | 44.9000015258789 | 42.2000007629395 | 42.0999984741211 | 42.5999984741211
Tunisia | TUN | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 28.7000007629395 | 28 | 27.3999996185303 | 28.2999992370605 | 27 | 26.7000007629395 | 26.3999996185303 | 24.7000007629395 | 25 | 24.6000003814697 | 24.5 | 23.7999992370605 | 23.8999996185303 | 23.7999992370605 | 23.8999996185303 | 23.8999996185303 | 23.5 | 23.1000003814697 | 22.1000003814697 | 22 | 22.1000003814697 | 22.2000007629395
Turkey | TUR | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 47.7000007629395 | 45.2000007629395 | 40.5999984741211 | 43.7999992370605 | 41.9000015258789 | 42.7999992370605 | 41.0999984741211 | 40.2000007629395 | 40.5 | 37.7000007629395 | 36 | 33.7999992370605 | 31.3999996185303 | 31.3999996185303 | 31.7000007629395 | 31.7999992370605 | 31.7000007629395 | 32 | 30.5 | 31.7000007629395 | 33.5 | 32.7999992370605
Tuvalu | TUV | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Tanzania | TZA | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 76.5999984741211 | 77.0999984741211 | 76.6999969482422 | 76.5 | 75.4000015258789 | 74.9000015258789 | 75.3000030517578 | 75.0999984741211 | 75.1999969482422 | 74.6999969482422 | 74.8000030517578 | 76.8000030517578 | 76.9000015258789 | 77.5999984741211 | 78.0999984741211 | 75.4000015258789 | 78.8000030517578 | 77.6999969482422 | 77.3000030517578 | 76.4000015258789 | 75.5 | 75.4000015258789
Uganda | UGA | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 62.0999984741211 | 62.0999984741211 | 62.5 | 62.5 | 62.5999984741211 | 62.5999984741211 | 62.5999984741211 | 62.5999984741211 | 62.5999984741211 | 62.2000007629395 | 61.7000007629395 | 61.5 | 60.7000007629395 | 60.2000007629395 | 59.0999984741211 | 58.7999992370605 | 58.5 | 57.2999992370605 | 55.7000007629395 | 55.4000015258789 | 55.2000007629395 | 55.0999984741211
Ukraine | UKR | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 35.5999984741211 | 35 | 34.4000015258789 | 36.7000007629395 | 38 | 36.0999984741211 | 34.5 | 32 | 31.2000007629395 | 30.6000003814697 | 30.6000003814697 | 32 | 31.7999992370605 | 34.4000015258789 | 34.5 | 35.2999992370605 | 36 | 36.4000015258789 | 34.7000007629395 | 34.0999984741211 | 33.7999992370605 | 34.4000015258789
Upper middle income | UMC | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 60.0349829999824 | 60.23177518500216 | 59.23568742036918 | 58.55788200084412 | 57.26594695242932 | 55.93164013027653 | 54.92395293905099 | 53.46686242929422 | 52.24310049052971 | 50.99166246787036 | 49.97431215499939 | 48.82129480838795 | 47.69294914383349 | 47.28099552578858 | 46.8914740142196 | 46.53385446234883 | 46.32269838574846 | 45.60694928204588 | 44.63416797733711 | 44.20763583090961 | 44.50530964281772 | 44.50859446222097
Uruguay | URY | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46.5999984741211 | 47.7999992370605 | 47.4000015258789 | 49.4000015258789 | 49.7999992370605 | 49.2999992370605 | 48.7000007629395 | 45.0999984741211 | 45.2000007629395 | 45.2000007629395 | 46.7000007629395 | 44.7999992370605 | 42.5999984741211 | 40.5999984741211 | 40.7999992370605 | 38.2999992370605 | 41.0999984741211 | 43.7000007629395 | 43.7999992370605 | 44.4000015258789 | 45.7999992370605 | 46.4000015258789
United States | USA | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 53.7999992370605 | 53.0999984741211 | 53.5999984741211 | 54.9000015258789 | 55.2999992370605 | 54.9000015258789 | 55.2000007629395 | 56.2000007629395 | 56.2000007629395 | 56.4000015258789 | 54.2000007629395 | 51.9000015258789 | 50.0999984741211 | 49.9000015258789 | 50 | 50.5999984741211 | 49.5 | 47.5999984741211 | 43.2999992370605 | 41.2000007629395 | 41.4000015258789 | 42.2000007629395
Uzbekistan | UZB | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 34.7000007629395 | 34.7000007629395 | 34.5 | 34.5 | 34.2999992370605 | 34.2000007629395 | 34.2000007629395 | 34.2000007629395 | 34.2999992370605 | 34.2999992370605 | 34.2000007629395 | 34.0999984741211 | 34 | 33.9000015258789 | 34 | 34.0999984741211 | 34.2000007629395 | 34.5 | 34.7000007629395 | 35 | 35.2000007629395 | 35.5
St. Vincent and the Grenadines | VCT | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Venezuela, RB | VEN | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 37.7999992370605 | 38 | 35.7999992370605 | 37 | 37.2000007629395 | 35.5 | 40.2999992370605 | 40.5 | 38.2000007629395 | 37.2000007629395 | 40.5 | 39.2999992370605 | 37.9000015258789 | 37.7000007629395 | 38.9000015258789 | 38.5 | 38.7000007629395 | 39.0999984741211 | 37.4000015258789 | 35.2999992370605 | 35.4000015258789 | 35.9000015258789
Virgin Islands (U.S.) | VIR | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Vietnam | VNM | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 73.4000015258789 | 72.5999984741211 | 71 | 71.0999984741211 | 70.5999984741211 | 70 | 67.9000015258789 | 67.8000030517578 | 66.5999984741211 | 65.9000015258789 | 64.3000030517578 | 64.5999984741211 | 63.4000015258789 | 62.7000007629395 | 61.7999992370605 | 60.5 | 59.4000015258789 | 58.5999984741211 | 58.2000007629395 | 58.2000007629395 | 59 | 59.5999984741211
[NAME] | VUT | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
West Bank and Gaza | PSE | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 18.2999992370605 | 16.7999992370605 | 17 | 17.3999996185303 | 17.2000007629395 | 17.5 | 18.6000003814697 | 20.7000007629395 | 20.7000007629395 | 20.3999996185303 | 17.7000007629395 | 14.3000001907349 | 14.8000001907349 | 15.5 | 15.8999996185303 | 16.7999992370605 | 17.5 | 16.7999992370605 | 16.2999992370605 | 15.6999998092651 | 17.3999996185303 | 16.7999992370605
World | WLD | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 51.86547247852484 | 51.91047397625087 | 50.89147353506887 | 50.47434785064785 | 49.79538536492004 | 49.04091521273562 | 48.19273731139094 | 47.39213912984812 | 47.13569492874254 | 46.38029535118634 | 45.88600688591522 | 45.28087737900496 | 44.92965987320146 | 44.87851838874489 | 44.68225259300148 | 44.26807409961057 | 44.00415402079499 | 43.31055030995895 | 42.28433734032775 | 41.68256943914987 | 41.80189573096378 | 41.78160659151724
Samoa | WSM | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS
Yemen, Rep. | YEM | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 22.8999996185303 | 23.5 | 24.2999992370605 | 22.6000003814697 | 23.7000007629395 | 24.8999996185303 | 24.8999996185303 | 24.7999992370605 | 26.7000007629395 | 25.1000003814697 | 26.7000007629395 | 26.7000007629395 | 26.6000003814697 | 26.7999992370605 | 25.3999996185303 | 25.7999992370605 | 26 | 26.2000007629395 | 26.3999996185303 | 23.8999996185303 | 24.1000003814697 | 24.2999992370605
South Africa | ZAF | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 17.6000003814697 | 18 | 16.6000003814697 | 20 | 21.8999996185303 | 19 | 17.5 | 17.8999996185303 | 17 | 17.1000003814697 | 15.5 | 15 | 13.3999996185303 | 13.8999996185303 | 15.3000001907349 | 16.3999996185303 | 16.2000007629395 | 17.1000003814697 | 14.8999996185303 | 13.1999998092651 | 13 | 12.5
Congo, Dem. Rep. | COD | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 39.7999992370605 | 39.7999992370605 | 39.9000015258789 | 40.2000007629395 | 40.2999992370605 | 40.2999992370605 | 40.2000007629395 | 40.2999992370605 | 40.2000007629395 | 40.0999984741211 | 40.2000007629395 | 40.2000007629395 | 40.2000007629395 | 40.0999984741211 | 40.0999984741211 | 39.9000015258789 | 39.7999992370605 | 39.7000007629395 | 39.5999984741211 | 39.5 | 39.5 | 39.5
Zambia | ZMB | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46.4000015258789 | 46.0999984741211 | 45.5 | 46.2000007629395 | 46.7999992370605 | 50.5 | 51.5 | 54.5 | 54.2999992370605 | 53.5999984741211 | 51.2000007629395 | 51.5999984741211 | 51.5 | 52.4000015258789 | 52 | 51.0999984741211 | 50.9000015258789 | 51.2000007629395 | 50.4000015258789 | 49.7000007629395 | 49.5999984741211 | 50.4000015258789
Zimbabwe | ZWE | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 47.5999984741211 | 47.5999984741211 | 47.4000015258789 | 48.5999984741211 | 47.9000015258789 | 47.2999992370605 | 46 | 46.0999984741211 | 46.5 | 51.4000015258789 | 56.7000007629395 | 63.2999992370605 | 69.4000015258789 | 75 | 74.9000015258789 | 74.6999969482422 | 74.5999984741211 | 74.1999969482422 | 74.5 | 74.3000030517578 | 74.3000030517578 | 74