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 Series Title: Unemployment Rate: 16-19 years, White Men: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 9825·3
 2012 03 1225.5
 2012 02 5423·8
 2012 01 4024·5
 2011 12  923.2
 2011 11  324.6
 2011 10  6525.5
 2011 09  6924.9
 2011 08  6826.8
 2011 07  7525.3
 2011 06  5925.0
 2011 05  7822.5
 2011 04  2524·9
 2011 03  723·4
 2011 02  4822.9
 2011 01  1124·3
 2010 12 5525·9
 2010 11 823·2
 2010 10 7025·6
 2010 09 3726.5
 2010 08 5926.6
 2010 07 926·1
 2010 06 8727.0
 2010 05 5126·6
 2010 04 6227·1
 2010 03 6527.3
 2010 02 8825.7
 2010 01 7127.8
 2009 12  1527·3
 2009 11  6026.5
 2009 10  8627.9
 2009 09  4226.5
 2009 08  9327.6
 2009 07  9926·1
 2009 06  1924·4
 2009 05  3224·8
 2009 04  9522.8
 2009 03  1423.8
 2009 02  4823.1
 2009 01  3721·8
 2008 12 4921·4
 2008 11 6221·7
 2008 10 6421.4
 2008 09 7419.5
 2008 08 419·2
 2008 07 2522·2
 2008 06 7719·0
 2008 05 8918·2
 2008 04 3515·4
 2008 03 914·7
 2008 02 2617·2
 2008 01 5018.9
 2007 12  4316.5
 2007 11  4617.7
 2007 10  7414.9
 2007 09  5116.3
 2007 08  5316.3
 2007 07  9215.4
 2007 06  917·0
 2007 05  1215.5
 2007 04  1714·7
 2007 03  2914.7
 2007 02  4414·5
 2007 01  7713·9
 2006 12 814·9
 2006 11 6313.9
 2006 10 1713·8
 2006 09 1414.8
 2006 08 2715.1
 2006 07 2714·3
 2006 06 9015·3
 2006 05 1915·2
 2006 04 114.7
 2006 03 7714·1
 2006 02 5114·5
 2006 01 1014.3
 2005 12  7813·6
 2005 11  9514·7
 2005 10  1414·7
 2005 09  3115·1
 2005 08  3515.2
 2005 07  8715·6
 2005 06  1616.0
 2005 05  5117.2
 2005 04  7317.9
 2005 03  8417.9
 2005 02  2018·0
 2005 01  6616·6
 2004 12 1518.0
 2004 11 4515·2
 2004 10 1417·5
 2004 09 9215.8
 2004 08 1415.9
 2004 07 4915.8
 2004 06 1016.3
 2004 05 7618·0
 2004 04 4317·7
 2004 03 416.4
 2004 02 4815.2
 2004 01 8614.4
 2003 12  516.1
 2003 11  4216.9
 2003 10  8915·9
 2003 09  1617·6
 2003 08  2316.5
 2003 07  1918.4
 2003 06  2217·5
 2003 05  8516.4
 2003 04  4817·2
 2003 03  1717·7
 2003 02  5917·0
 2003 01  3717·0
 2002 12 5715.1
 2002 11 4116.1
 2002 10 3914.9
 2002 09 4315·5
 2002 08 4817·6
 2002 07 2518.0
 2002 06 2316·4
 2002 05 9415·1
 2002 04 4815.3
 2002 03 2516·0
 2002 02 115·3
 2002 01 1215.1
 2001 12  715.3
 2001 11  2216.0
 2001 10  8515·1
 2001 09  4013·8
 2001 08  015.3
 2001 07  2313·5
 2001 06  1213·9
 2001 05  4713.3
 2001 04  2812.6
 2001 03  5911.9
 2001 02  4712.7
 2001 01  2714·0
 2000 12 1612·6
 2000 11 8812·1
 2000 10 7611·8
 2000 09 9912.4
 2000 08 1412.7
 2000 07 9012.4
 2000 06 1311.7
 2000 05 811.1
 2000 04 9812·8
 2000 03 7311·7
 2000 02 9513.9
 2000 01 2312·7
 1999 12  6913.5
 1999 11  6812·3
 1999 10  8512.2
 1999 09  3812.8
 1999 08  5111.8
 1999 07  3211·8
 1999 06  7212.4
 1999 05  7112·5
 1999 04  9512·4
 1999 03  4613.1
 1999 02  6712·1
 1999 01  6814.0
 1998 12 7713.9
 1998 11 1813.4
 1998 10 1014·6
 1998 09 9714.6
 1998 08 9713·7
 1998 07 7813·8
 1998 06 6314.5
 1998 05 5214·4
 1998 04 7912·8
 1998 03 8315.2
 1998 02 1314·4
 1998 01 5314·0
 1997 12  7610·7
 1997 11  1612·8
 1997 10  7414.6
 1997 09  4414.2
 1997 08  6115·1
 1997 07  8215·6
 1997 06  8415.8
 1997 05  9313.1
 1997 04  3614·7
 1997 03  1315·1
 1997 02  514.7
 1997 01  9614·8
 1996 12 2514.7
 1996 11 6615.8
 1996 10 2515.3
 1996 09 7014.5
 1996 08 8015.4
 1996 07 2316·3
 1996 06 5814.6
 1996 05 6115·6
 1996 04 7515.6
 1996 03 9015·9
 1996 02 4115·5
 1996 01 3716·3
 1995 12  1116.1
 1995 11  9916·4
 1995 10  3716.7
 1995 09  9315.9
 1995 08  1415·5
 1995 07  614·7
 1995 06  3415.0
 1995 05  4715.6
 1995 04  3315·5
 1995 03  9314.8
 1995 02  4415.9
 1995 01  4415.0
 1994 12 4416·1
 1994 11 6714·0
 1994 10 614·6
 1994 09 5316·3
 1994 08 4815·4
 1994 07 6016.2
 1994 06 8315·5
 1994 05 6817.2
 1994 04 7018·4
 1994 03 2716·8
 1994 02 6216.7
 1994 01 818·0
 1993 12  6017.0
 1993 11  5117.9
 1993 10  5718·0
 1993 09  1816·1
 1993 08  9418·1
 1993 07  3918.0
 1993 06  518.7
 1993 05  6617·2
 1993 04  7217·9
 1993 03  2117·3
 1993 02  6918.0
 1993 01  4717·9
 1992 12 1917·7
 1992 11 5518·0
 1992 10 3716.1
 1992 09 8019·0
 1992 08 8618.9
 1992 07 2318.7
 1992 06 2220.8
 1992 05 818.7
 1992 04 4816.8
 1992 03 3020.5
 1992 02 6219.3
 1992 01 217·5
 1991 12  619·0
 1991 11  918·1
 1991 10  2017.7
 1991 09  5517.3
 1991 08  8517.0
 1991 07  1518.6
 1991 06  8317.8
 1991 05  8618·6
 1991 04  3616·8
 1991 03  3217·8
 1991 02  6416·2
 1991 01  4016·7
 1990 12 3316.2
 1990 11 6516.1
 1990 10 215·9
 1990 09 8515·6
 1990 08 7715.3
 1990 07 4613.7
 1990 06 6011·8
 1990 05 1613.4
 1990 04 9513·9
 1990 03 3212.8
 1990 02 2413.7
 1990 01 5213·9
 1989 12  3514·3
 1989 11  414.4
 1989 10  814.1
 1989 09  3713·3
 1989 08  7312.8
 1989 07  6912.2
 1989 06  5113.2
 1989 05  4013.7
 1989 04  1013·3
 1989 03  5912.9
 1989 02  1414·5
 1989 01  5616·5
 1988 12 7113·6
 1988 11 3012·0
 1988 10 8614·5
 1988 09 314.6
 1988 08 713.8
 1988 07 6414·3
 1988 06 8013.2
 1988 05 2613.0
 1988 04 9314.5
 1988 03 6816·0
 1988 02 3312.8
 1988 01 9314·6
 1987 12  2914.9
 1987 11  7314.6
 1987 10  814·8
 1987 09  9914·8
 1987 08  4115.2
 1987 07  3513.4
 1987 06  9415·1
 1987 05  6416.5
 1987 04  7916·3
 1987 03  3817.1
 1987 02  316.2
 1987 01  3016.3
 1986 12 1815·7
 1986 11 8616·3
 1986 10 7315.5
 1986 09 6816·4
 1986 08 6016.7
 1986 07 1216·0
 1986 06 6717·5
 1986 05 7116.5
 1986 04 2816.8
 1986 03 7215.7
 1986 02 7316·6
 1986 01 5915.1
 1985 12  7416.6
 1985 11  4915·9
 1985 10  318.7
 1985 09  7615·7
 1985 08  7417.1
 1985 07  4817·5
 1985 06  9616.3
 1985 05  9116.3
 1985 04  2715.5
 1985 03  115.8
 1985 02  1516·9
 1985 01  9716·4
 1984 12 5816·6
 1984 11 6616.5
 1984 10 4716·5
 1984 09 1516.9
 1984 08 1916.2
 1984 07 2317·3
 1984 06 616.1
 1984 05 8816.6
 1984 04 8417·0
 1984 03 7917.7
 1984 02 2816·7
 1984 01 8518.2
 1983 12  5517.6
 1983 11  6617.8
 1983 10  7819·4
 1983 09  218.7
 1983 08  5620·6
 1983 07  4120.0
 1983 06  4220·1
 1983 05  5520·3
 1983 04  3721·7
 1983 03  8523·0
 1983 02  3521·7
 1983 01  9121.6
 1982 12 7522·8
 1982 11 522·7
 1982 10 9322.3
 1982 09 7822.1
 1982 08 7022·1
 1982 07 3222·3
 1982 06 8021·6
 1982 05 1021.0
 1982 04 4621·9
 1982 03 2320.4
 1982 02 8420·7
 1982 01 620·9
 1981 12  5520.1
 1981 11  6019.6
 1981 10  1617.5
 1981 09  1017.6
 1981 08  7116·6
 1981 07  5016·5
 1981 06  1718.5
 1981 05  9217·6
 1981 04  9617·0
 1981 03  2317.8
 1981 02  4718·2
 1981 01  4617·5
 1980 12 5415·7
 1980 11 3717.6
 1980 10 9617·5
 1980 09 9116·3
 1980 08 9617.9
 1980 07 7317.8
 1980 06 7518·4
 1980 05 7017.1
 1980 04 9714.8
 1980 03 3913.3
 1980 02 2313·7
 1980 01 5414·2
 1979 12  5813.6
 1979 11  6414.0
 1979 10  313·9
 1979 09  3614·6
 1979 08  514·7
 1979 07  713.6
 1979 06  312·6
 1979 05  3613.7
 1979 04  8614.1
 1979 03  4914·1
 1979 02  3614.2
 1979 01  9714·0
 1978 12 7914.4
 1978 11 9713.2
 1978 10 3814·3
 1978 09 8913.3
 1978 08 8212·9
 1978 07 8113.3
 1978 06 7412·1
 1978 05 512.3
 1978 04 2313.8
 1978 03 6014.2
 1978 02 3214·4
 1978 01 6613·2
 1977 12  5012.3
 1977 11  1313·9
 1977 10  2314.1
 1977 09  1415.2
 1977 08  4014.6
 1977 07  4914·2
 1977 06  8716.8
 1977 05  2015·1
 1977 04  9315·1
 1977 03  9915·9
 1977 02  8516·0
 1977 01  7816·1
 1976 12 3417.0
 1976 11 1917·8
 1976 10 617.2
 1976 09 516·6
 1976 08 1316·4
 1976 07 9117·2
 1976 06 6316.6
 1976 05 4817·6
 1976 04 718·0
 1976 03 2117.4
 1976 02 9317·0
 1976 01 7418·7
 1975 12  1517·8
 1975 11  4217·5
 1975 10  6017·7
 1975 09  7917·9
 1975 08  6218.9
 1975 07  919.5
 1975 06  5120·5
 1975 05  8018·4
 1975 04  018·4
 1975 03  617.9
 1975 02  8017.8
 1975 01  2317·3
 1974 12 415·7
 1974 11 3715.2
 1974 10 8314.5
 1974 09 7614.9
 1974 08 7312.7
 1974 07 3513.5
 1974 06 2513·7
 1974 05 3313·3
 1974 04 3412·2
 1974 03 5712.0
 1974 02 9212.5
 1974 01 1412·4
 1973 12  3612·5
 1973 11  8412·9
 1973 10  9812.6
 1973 09  6312·4
 1973 08  5612·4
 1973 07  2211·7
 1973 06  8111.6
 1973 05  4912·8
 1973 04  9312·7
 1973 03  412·1
 1973 02  412·2
 1973 01  6611·8
 1972 12 7313.1
 1972 11 8613.3
 1972 10 5413·2
 1972 09 3414.5
 1972 08 4614·3
 1972 07 5012.9
 1972 06 4413.5
 1972 05 9513.8
 1972 04 8814·5
 1972 03 215·7
 1972 02 1316.2
 1972 01 2115·3
 1971 12  9915.5
 1971 11  7415·1
 1971 10  2315.3
 1971 09  314.9
 1971 08  415·5
 1971 07  2215.7
 1971 06  6116.0
 1971 05  6314·8
 1971 04  5514·5
 1971 03  2914·9
 1971 02  4214·2
 1971 01  4315·5
 1970 12 2515·1
 1970 11 015·1
 1970 10 315.1
 1970 09 1414.6
 1970 08 1714·2
 1970 07 6914.2
 1970 06 615.4
 1970 05 6913.5
 1970 04 5413.0
 1970 03 9011.4
 1970 02 4011.6
 1970 01 2710·9
 1969 12  879·5
 1969 11  4610.1
 1969 10  1710.7
 1969 09  3310·6
 1969 08  939·7
 1969 07  4310.9
 1969 06  769·9
 1969 05  559.2
 1969 04  719.7
 1969 03  1410.2
 1969 02  799·6
 1969 01  8810.2
 1968 12 4610·3
 1968 11 149.7
 1968 10 149.3
 1968 09 519·5
 1968 08 699.5
 1968 07 2610.5
 1968 06 9411·9
 1968 05 889·8
 1968 04 169·0
 1968 03 5610·3
 1968 02 5710.2
 1968 01 6810·5
 1967 12  8610.6
 1967 11  3512·5
 1967 10  6611.0
 1967 09  8610·4
 1967 08  610·6
 1967 07  2010·4
 1967 06  911·8
 1967 05  6010.7
 1967 04  2510.6
 1967 03  949.1
 1967 02  9810.6
 1967 01  3410·0
 1966 12 1910·8
 1966 11 629·8
 1966 10 7210.8
 1966 09 7910·6
 1966 08 8810.0
 1966 07 5610·1
 1966 06 9310.6
 1966 05 8711.0
 1966 04 5810·2
 1966 03 3310·7
 1966 02 4910.0
 1966 01 7810·8
 1965 12  7911.2
 1965 11  759·8
 1965 10  5413·4
 1965 09  9711.9
 1965 08  2713·1
 1965 07  8813·6
 1965 06  4513·8
 1965 05  1213·5
 1965 04  113·9
 1965 03  313·0
 1965 02  8414.0
 1965 01  1713·5
 1964 12 2813.9
 1964 11 7814.5
 1964 10 6112·7
 1964 09 3213·7
 1964 08 5714·9
 1964 07 9413·2
 1964 06 8715.1
 1964 05 014.9
 1964 04 6516·7
 1964 03 5716.0
 1964 02 115·3
 1964 01 9215.8
 1963 12  5114·7
 1963 11  016·3
 1963 10  6514.5
 1963 09  016.4
 1963 08  4115·2
 1963 07  7916.9
 1963 06  6815.3
 1963 05  4517·7
 1963 04  8516.7
 1963 03  7616.3
 1963 02  2217.2
 1963 01  7013·4
 1962 12 5812·0
 1962 11 9715·1
 1962 10 6613.3
 1962 09 4513.8
 1962 08 6213.1
 1962 07 7312·9
 1962 06 6114.0
 1962 05 6313.6
 1962 04 2113.2
 1962 03 6213·9
 1962 02 9614.7
 1962 01 4315·1
 1961 12  8616.2
 1961 11  4615·4
 1961 10  8516.3
 1961 09  3116.4
 1961 08  3215.3
 1961 07  3015·7
 1961 06  6415·1
 1961 05  9514·9
 1961 04  6016.6
 1961 03  4715·7
 1961 02  9616·5
 1961 01  2815.6
 1960 12 9414.7
 1960 11 5214.7
 1960 10 7015.6
 1960 09 5113·9
 1960 08 8615.7
 1960 07 2913·9
 1960 06 9914.5
 1960 05 813.0
 1960 04 1113.0
 1960 03 8314.8
 1960 02 2011.7
 1960 01 6712.6
 1959 12  6914·6
 1959 11  4513·6
 1959 10  9614·9
 1959 09  2313·4
 1959 08  8515.9
 1959 07  7413.9
 1959 06  1512·7
 1959 05  9413·7
 1959 04  1013·4
 1959 03  5012·8
 1959 02  9014.3
 1959 01  2615.1
 1958 12 2014.7
 1958 11 7915·3
 1958 10 5916·0
 1958 09 8717.8
 1958 08 1415·7
 1958 07 9516.8
 1958 06 8514·4
 1958 05 7116·8
 1958 04 1817.2
 1958 03 5216·6
 1958 02 5614·9
 1958 01 9714.1
 1957 12  8313·2
 1957 11  3414·7
 1957 10  8410·8
 1957 09  1011.7
 1957 08  8410·4
 1957 07  4611.3
 1957 06  711·2
 1957 05  7910·3
 1957 04  2110·6
 1957 03  2011·4
 1957 02  8910·7
 1957 01  9712.2
 1956 12 2010·7
 1956 11 1212·8
 1956 10 1710·1
 1956 09 858·9
 1956 08 309.4
 1956 07 610.4
 1956 06 411.1
 1956 05 8510·8
 1956 04 2810.3
 1956 03 69·8
 1956 02 8811.3
 1956 01 689·2
 1955 12  1410.6
 1955 11  4510.5
 1955 10  3211.4
 1955 09  2811.3
 1955 08  1312·2
 1955 07  7911·3
 1955 06  2410.8
 1955 05  8211.1
 1955 04  7611.4
 1955 03  9011.2
 1955 02  7611.8
 1955 01  7712.5
 1954 12 7813.1
 1954 11 8512.7
 1954 10 2812·4
 1954 09 8015·9
 1954 08 1914·8
 1954 07 9614·0
 1954 06 4010.0
 1954 05 8614.3
 1954 04 2514.3
 1954 03 7813·7
 1954 02 215·6
 1954 01 1511.9
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: Alternative Measures of Labor Underutilization
Unemployment Rate: Gender
Unemployment Rate: Black: Gender
Unemployment Rate: White: Gender
Unemployment Rate: Race
Unemployment Rate: Age: 16/25/35/45/55
Unemployment Rate: Education
Unemployment Rate: Nonagricultural Industry
Unemployment Rate: Job Category
Median Weeks Unemployed: Age
Median Weeks Unemployed: Race


The US Labor Force Dataset from the BLS contains nearly 15,000 series.
These series are subcategories of the popular series of:

Civilian Labor Force (subcategories)
Employment Level (subcategories)
Unemployment Level (subcategories)
US Unemployment Rate (subcategories)
Population (subcategories)
Employment-Population Ratio (subcategories)
Median Weeks Unemployed (subcategories)
Percent Distribution (subcategories)
Average Hours At Work (subcategories)
Of Total Unemployed (subcategories)

These basic measures are augmented by:

Population
Labor Force Participation Rate
Employment-Population Ratio
Not in Labor Force
Number at work
Average hours at work
Multiple jobholders
Average number of search methods used
Number At work part-time

These series can be subdivided by:

Sex:

Male
Female

Race and Ethnicity:

White
Black
Hispanic
Mexican
Puerto Rican
Cuban

Age:

16 years and over (default)
14_yrs._&_over
16-17_yrs.
16-19_yrs.
16-21_yrs.
16-24_yrs.
18-19_yrs.
20_yrs._&_over
20-24_yrs.
20-64_yrs.
25_yrs._&_over
25-29_yrs.
25-34_yrs.
25-54_yrs.
25-59_yrs.
30-34_yrs.
35-39_yrs.
35-44_yrs.
40-44_yrs.
45_yrs._&_over
45-49_yrs.
45-54_yrs.
50-54_yrs.
55_yrs._&_over
55-59_yrs.
55-64_yrs.
60-61_yrs.
60-64_yrs.
62-64_yrs.
65_yrs._&_over
65-69_yrs.
70_yrs._&_over

Class Of Worker:

Wage_And_Salary_Workers
Private_Wage_And_Salary_Workers
Government_Wage_And_Salary_Workers
Self-employed_Workers
Unpaid_Family_Workers

Industry:

Agriculture_Service
Furniture_And_Fixtures
Motor_Vehicles_&_Motor_Vehicle_Equipment
Aircraft
Tobacco
Eating_And_Drinking
Private_Households
Hospital
Postal
Federal
State
Local
Goods_Producing
Service_Producing
Agriculture_(Excludes_Forestry_And_Fisheries)
Forestry_And_Fisheries
Nonagricultural
Mining
Construction
Manufacturing
Manufacturing,_Durables
Lumber_And_Wood_Products,_Except_Furniture
Stone,_Clay,_And_Glass_Products
Primary_Metal
Fabricated_Metal
Machinery
Electrical_machinery,_equipment,_&_supplies
Transportation_Equipment
Professional_&_photographic_equipment_&_watches
Other_transportation_equipment
Fabricated_Metals
Manufacturing,_Nondurables
Food_And_Kindred_Products
Textile_Mill_Products
Apparel_And_Other_Fabricated_Textile_Products
Paper_And_Allied_Products
Printing,_Publishing,_And_Allied_Industries
Chemicals_And_Allied_Products
Petroleum_And_Coal_Products
Rubber_And_Miscellaneous_Plastic_Products
Leather_And_Leather_Products
Transportation,_Communication,_And_Other_Public_Utilities
Transportation
Transportation_Other_Than_Railroad_And_Railway_Express
Communications_And_Other_Public_Utilities
Communications
Trade
Wholesale_Trade
Retail_Trade
Service_Industries
Finance,_Insurance,_And_Real_Estate
Insurance_And_Real_Estate
Banking_And_Other_Financial_Organizations
Business_And_Repair_Services
Businesses
Repair_Services
Personal_Services
Entertainment_And_Recreation_Services
Professional_And_Related_Services
Medical
Educational_Services
Welfare_And_Religious_Services
Public_Administration

Occupation:

Managerial_&_professional_specialty_occupation
Executive,_administration,_&_managerial
Officials_&_administration,_public_administation
Management_Related_Occupations
Professional_Specialty_Occupations
Engineers
Math_&_Computer_Scientists
Natural_scientists
Health_Diagnosing_Occupations
Health_Assessment_&_Treating
Teachers,_college_&_university
Lawyers_&_Judges
Technical,_sales,_administration_support
Technicians_&_related_support_occupations
Health_technologists_&_technicians
Engineering_&_science_technicians
Technicians
Sales_Occupations
Supervisors_&_Proprietors
Sales_reps,_finance_&_business_services
Sales_reps,_commodities
Sales,_retail_&_personal
Sales_Related_Occupations
Administrative_support
Supervisors
Computer_Equipment_Operators
Secretaries,_stenographers,_&_typists
Financial_Records_Processing
Mail_&_Message_Distributing
Service_Occupation
Private_Household
Protective_Services
Food_Service
Health_Service
Cleaning_&_Building_Service
Personal_Service
Precision_Production,_Craft,_Repair
Mechanics_&_Repairers
Construction_Trades
Operators,_Fabricators,_Laborers
Machine_operators,_assemblers,_inspectors
Operators_&_tenders
Fabricators,_assemblers,_inspectors,_samplers
Transportation,_material_moving
Motor_vehicle_operators
Handlers,_equipment_cleaners,_helpers,_laborers
Construction_Laborers
Freight,_stock_material_handlers
Farming,_Forestry,_Fishing
Farm_Operators_&_Managers
Farm_workers_&_related_occupations
Forestry_&_fishing_occupations

Input your search text below.
or alter the examples after this blank template.







      Example 1: Get Unemployment Rates for people in Computer jobs







      Example 2: Get Employment Data for Workers in the "Retail Trade" Industry







      Example 3: Get Population Level Data for Workers





 Series Title: Unemployment Rate: 16-19 years, White Men: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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