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 Series Title: Unemployment Rate: 16-19 years, White Women: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 4220·3
 2012 03 1219·5
 2012 02 6018.7
 2012 01 717.7
 2011 12  9917.3
 2011 11  8218.0
 2011 10  817.7
 2011 09  5517.4
 2011 08  8418.5
 2011 07  1320·8
 2011 06  1918·6
 2011 05  6418.3
 2011 04  4919·4
 2011 03  8619.5
 2011 02  619·7
 2011 01  7920·7
 2010 12 6819·4
 2010 11 918.6
 2010 10 820·9
 2010 09 6720.2
 2010 08 4220.1
 2010 07 1320·2
 2010 06 8619·3
 2010 05 2522.8
 2010 04 9719·5
 2010 03 5420.3
 2010 02 3020·1
 2010 01 7018·3
 2009 12  8320.1
 2009 11  1420·1
 2009 10  5121.2
 2009 09  4719.9
 2009 08  7519.7
 2009 07  018.5
 2009 06  8819.2
 2009 05  2516.5
 2009 04  7317.4
 2009 03  4417.0
 2009 02  416·5
 2009 01  9915.0
 2008 12 316.4
 2008 11 215.4
 2008 10 8614.1
 2008 09 8615·2
 2008 08 1614·3
 2008 07 5515.4
 2008 06 4815.1
 2008 05 3215.3
 2008 04 8613.3
 2008 03 1111.8
 2008 02 2712·1
 2008 01 512.8
 2007 12  1512.4
 2007 11  112·0
 2007 10  8712·0
 2007 09  112.1
 2007 08  2711.6
 2007 07  8111.7
 2007 06  1411·6
 2007 05  3712.6
 2007 04  7312.8
 2007 03  3412·0
 2007 02  2212·1
 2007 01  5812·5
 2006 12 2811.7
 2006 11 6512·1
 2006 10 5012·2
 2006 09 3312·7
 2006 08 9312·9
 2006 07 811.6
 2006 06 5911·9
 2006 05 579.9
 2006 04 9310.6
 2006 03 1711·8
 2006 02 3711.2
 2006 01 4711.9
 2005 12  7812·7
 2005 11  7512.5
 2005 10  9913·1
 2005 09  5011.2
 2005 08  2511.9
 2005 07  8911.6
 2005 06  8012.1
 2005 05  3313.0
 2005 04  3313.3
 2005 03  9011·5
 2005 02  4513·3
 2005 01  9111.8
 2004 12 2713·0
 2004 11 3513·0
 2004 10 8112·2
 2004 09 4313·6
 2004 08 5814·2
 2004 07 514·4
 2004 06 213·2
 2004 05 3312.5
 2004 04 213·5
 2004 03 713.9
 2004 02 4415.1
 2004 01 3014·9
 2003 12  5913·0
 2003 11  7311.3
 2003 10  7112·8
 2003 09  2912·8
 2003 08  5313·3
 2003 07  6013·2
 2003 06  7115·1
 2003 05  4813.6
 2003 04  3713·3
 2003 03  4813·5
 2003 02  5713.5
 2003 01  3213.4
 2002 12 8412·8
 2002 11 4513·4
 2002 10 6613·5
 2002 09 5013·0
 2002 08 9612·1
 2002 07 8213·0
 2002 06 6212.9
 2002 05 9613·9
 2002 04 9812.9
 2002 03 1612.8
 2002 02 3212·7
 2002 01 8814.2
 2001 12  4013·7
 2001 11  2911.3
 2001 10  8911.9
 2001 09  7312·2
 2001 08  9712·5
 2001 07  2612.2
 2001 06  7211·0
 2001 05  1710·5
 2001 04  7011.1
 2001 03  4111·0
 2001 02  429·7
 2001 01  169.6
 2000 12 8510·5
 2000 11 2911.2
 2000 10 8910.7
 2000 09 8910.8
 2000 08 9110.9
 2000 07 7210.3
 2000 06 248·9
 2000 05 7910.7
 2000 04 6410·2
 2000 03 7711·7
 2000 02 8610·8
 2000 01 569·2
 1999 12  510.4
 1999 11  7610·9
 1999 10  3711·4
 1999 09  1511.8
 1999 08  3910·7
 1999 07  2411·1
 1999 06  6612·2
 1999 05  7310.6
 1999 04  1611.8
 1999 03  410·8
 1999 02  8511.7
 1999 01  7712·0
 1998 12 1210.6
 1998 11 2211·5
 1998 10 3312.3
 1998 09 9310·2
 1998 08 2711.5
 1998 07 1110.2
 1998 06 7112·2
 1998 05 1710·7
 1998 04 8710.8
 1998 03 2610.6
 1998 02 8910·1
 1998 01 689.5
 1997 12  4110·9
 1997 11  4911·1
 1997 10  9911·4
 1997 09  9013·4
 1997 08  6512.5
 1997 07  8714.7
 1997 06  3812·6
 1997 05  5213·2
 1997 04  6012·2
 1997 03  7113·0
 1997 02  7014.6
 1997 01  4813.6
 1996 12 5213.0
 1996 11 5912·6
 1996 10 8311.5
 1996 09 9811.6
 1996 08 8912·5
 1996 07 3112.6
 1996 06 8912·8
 1996 05 4513.2
 1996 04 4913·4
 1996 03 9513·3
 1996 02 2713.4
 1996 01 5914·5
 1995 12  3014·8
 1995 11  8214·3
 1995 10  5913·1
 1995 09  3313·4
 1995 08  5912·4
 1995 07  4914.9
 1995 06  7312.2
 1995 05  8713.7
 1995 04  8613·8
 1995 03  7712·6
 1995 02  8213.1
 1995 01  6612.6
 1994 12 8712·8
 1994 11 7312.1
 1994 10 2414·5
 1994 09 3813.6
 1994 08 6114.1
 1994 07 6912·9
 1994 06 6214·0
 1994 05 9613.0
 1994 04 3515.7
 1994 03 2114.5
 1994 02 8314·5
 1994 01 6213·9
 1993 12  5813·2
 1993 11  1113·6
 1993 10  216.1
 1993 09  7814.5
 1993 08  514.0
 1993 07  4513·7
 1993 06  5414.5
 1993 05  1416·2
 1993 04  7914.5
 1993 03  5615·4
 1993 02  415·2
 1993 01  6315.3
 1992 12 315.3
 1992 11 9917.0
 1992 10 4014·9
 1992 09 4615·8
 1992 08 2815.1
 1992 07 5716·6
 1992 06 7318·9
 1992 05 614·8
 1992 04 2915·1
 1992 03 3615.6
 1992 02 4315.4
 1992 01 1215.3
 1991 12  817.0
 1991 11  6815.8
 1991 10  1115·7
 1991 09  5914·7
 1991 08  8815.5
 1991 07  1016.0
 1991 06  6715.2
 1991 05  6515.0
 1991 04  2214.7
 1991 03  4213·5
 1991 02  2213·4
 1991 01  7516.1
 1990 12 8313·3
 1990 11 7212·8
 1990 10 1513.0
 1990 09 5813·2
 1990 08 7312.9
 1990 07 3111.8
 1990 06 812.0
 1990 05 812.5
 1990 04 1712.3
 1990 03 7712.5
 1990 02 9012·8
 1990 01 4412.3
 1989 12  6512.3
 1989 11  8911.6
 1989 10  7310.9
 1989 09  1111·3
 1989 08  9212.1
 1989 07  7712·4
 1989 06  9512·6
 1989 05  7611·1
 1989 04  011.4
 1989 03  7010·7
 1989 02  1910.5
 1989 01  3611·6
 1988 12 1311.9
 1988 11 2511.5
 1988 10 3411·6
 1988 09 812·6
 1988 08 8112.9
 1988 07 2510·8
 1988 06 5111.3
 1988 05 3712·3
 1988 04 8113.2
 1988 03 7613·0
 1988 02 912·9
 1988 01 9213·2
 1987 12  1312.1
 1987 11  913·6
 1987 10  7014.5
 1987 09  6713.4
 1987 08  112·4
 1987 07  8113·0
 1987 06  2313·2
 1987 05  8213·2
 1987 04  9712.9
 1987 03  7414.1
 1987 02  8114.3
 1987 01  8013.7
 1986 12 7614.4
 1986 11 9415.6
 1986 10 8015·1
 1986 09 3014.9
 1986 08 3714·4
 1986 07 7314·8
 1986 06 8515·0
 1986 05 2714·8
 1986 04 815.4
 1986 03 6814.2
 1986 02 8315·4
 1986 01 9015·0
 1985 12  3715.4
 1985 11  6014·4
 1985 10  8815·0
 1985 09  6314·2
 1985 08  013·9
 1985 07  5615.1
 1985 06  3615·6
 1985 05  1615·2
 1985 04  9914.3
 1985 03  8815·0
 1985 02  9013.5
 1985 01  4115·3
 1984 12 5715·2
 1984 11 1213·4
 1984 10 4014.9
 1984 09 5915·7
 1984 08 2616·3
 1984 07 1012·9
 1984 06 9715·5
 1984 05 1315.3
 1984 04 8015.7
 1984 03 8816.4
 1984 02 9916·3
 1984 01 7314·5
 1983 12  2115·9
 1983 11  7816.4
 1983 10  1016.8
 1983 09  3317.3
 1983 08  7418.7
 1983 07  3818.6
 1983 06  1720.5
 1983 05  1219.3
 1983 04  8819.0
 1983 03  4719.2
 1983 02  3318.4
 1983 01  5419.2
 1982 12 4020·1
 1982 11 1419.7
 1982 10 9619·8
 1982 09 2819.1
 1982 08 3018.9
 1982 07 6919.2
 1982 06 6918.2
 1982 05 2918·5
 1982 04 8318·8
 1982 03 7017.6
 1982 02 3919·1
 1982 01 7518.5
 1981 12  5017·4
 1981 11  9818·3
 1981 10  2117·5
 1981 09  1117.3
 1981 08  515.6
 1981 07  5916.3
 1981 06  5116.4
 1981 05  616·5
 1981 04  5016·2
 1981 03  8615·7
 1981 02  9216.1
 1981 01  5415·7
 1980 12 1014·5
 1980 11 3414.9
 1980 10 3314·6
 1980 09 7314.3
 1980 08 3516.0
 1980 07 8615·5
 1980 06 8615·2
 1980 05 915·7
 1980 04 013·9
 1980 03 4914.8
 1980 02 8914·2
 1980 01 3114.1
 1979 12  714·6
 1979 11  5313·8
 1979 10  514·7
 1979 09  3214·5
 1979 08  8014·7
 1979 07  5513·7
 1979 06  2214.2
 1979 05  3113.3
 1979 04  6913·6
 1979 03  3813.4
 1979 02  5313.3
 1979 01  7413·8
 1978 12 5114.3
 1978 11 714·3
 1978 10 3613·6
 1978 09 2814.7
 1978 08 2514.2
 1978 07 9514.5
 1978 06 3313·4
 1978 05 8814·4
 1978 04 1714·6
 1978 03 5814·9
 1978 02 3215.0
 1978 01 7414·9
 1977 12  7813.0
 1977 11  7715.5
 1977 10  4715.5
 1977 09  2915.9
 1977 08  8214.6
 1977 07  6015.2
 1977 06  1616.2
 1977 05  2216·5
 1977 04  3016.8
 1977 03  3817·0
 1977 02  016·8
 1977 01  4917.8
 1976 12 4717.3
 1976 11 6716.4
 1976 10 8816·2
 1976 09 2716·0
 1976 08 8518.0
 1976 07 3015.6
 1976 06 9416.1
 1976 05 014·9
 1976 04 1716·0
 1976 03 3216.3
 1976 02 5417.1
 1976 01 3916·5
 1975 12  4617.7
 1975 11  616.7
 1975 10  3217·8
 1975 09  3817·0
 1975 08  9518.3
 1975 07  817.9
 1975 06  1517·5
 1975 05  1418·3
 1975 04  1616·8
 1975 03  2017.4
 1975 02  1716·2
 1975 01  1317.1
 1974 12 8316.0
 1974 11 4915.8
 1974 10 7515·5
 1974 09 415·7
 1974 08 9813·4
 1974 07 2515.2
 1974 06 5315.1
 1974 05 8013·5
 1974 04 8612.9
 1974 03 613.7
 1974 02 3813·6
 1974 01 6113·5
 1973 12  9613.4
 1973 11  7413.6
 1973 10  4213.1
 1973 09  9212.4
 1973 08  511.8
 1973 07  3412.3
 1973 06  512.0
 1973 05  4013.4
 1973 04  1214.6
 1973 03  1913.0
 1973 02  8914.2
 1973 01  112.1
 1972 12 4413.5
 1972 11 8613·2
 1972 10 8114·1
 1972 09 9414.6
 1972 08 5015·1
 1972 07 1514·7
 1972 06 9514.9
 1972 05 6212.8
 1972 04 615.1
 1972 03 1414·4
 1972 02 6814·3
 1972 01 7414.3
 1971 12  1214·1
 1971 11  1416·0
 1971 10  6415.0
 1971 09  2615.6
 1971 08  9514·5
 1971 07  7215·9
 1971 06  7015.8
 1971 05  3615·1
 1971 04  314.9
 1971 03  7015·5
 1971 02  9914·8
 1971 01  4715·0
 1970 12 1315·7
 1970 11 1315·9
 1970 10 9014·6
 1970 09 3114·2
 1970 08 2413.5
 1970 07 3411.4
 1970 06 412.9
 1970 05 7912.0
 1970 04 6313·1
 1970 03 9012.6
 1970 02 3011·7
 1970 01 1312·6
 1969 12  8011·4
 1969 11  6210.4
 1969 10  8111·7
 1969 09  7512·1
 1969 08  4911.8
 1969 07  5611·7
 1969 06  9411·6
 1969 05  3412.3
 1969 04  7211·9
 1969 03  511·4
 1969 02  3311·3
 1969 01  8610·1
 1968 12 7412.3
 1968 11 6511·5
 1968 10 8611·0
 1968 09 4911·3
 1968 08 511·8
 1968 07 1713.8
 1968 06 6513·0
 1968 05 6812.7
 1968 04 4111.8
 1968 03 6911·2
 1968 02 812.4
 1968 01 1110·8
 1967 12  8211.3
 1967 11  5212·1
 1967 10  7712·7
 1967 09  7211.3
 1967 08  5311·9
 1967 07  2211·8
 1967 06  6211·8
 1967 05  719.8
 1967 04  59.9
 1967 03  6110.5
 1967 02  7512·2
 1967 01  5210.7
 1966 12 1310.6
 1966 11 7611.5
 1966 10 5411·3
 1966 09 8411·4
 1966 08 7812·0
 1966 07 9812.4
 1966 06 6112.7
 1966 05 6112.9
 1966 04 2513·1
 1966 03 8512·1
 1966 02 8511.2
 1966 01 312.4
 1965 12  412·7
 1965 11  1713·3
 1965 10  3812·2
 1965 09  5214.4
 1965 08  9012·7
 1965 07  212.8
 1965 06  5813·9
 1965 05  8013.8
 1965 04  8516·4
 1965 03  7116·1
 1965 02  917.1
 1965 01  7916·3
 1964 12 1419.5
 1964 11 8014·5
 1964 10 7815·9
 1964 09 6914.1
 1964 08 2614.5
 1964 07 1212·6
 1964 06 7815.1
 1964 05 9415.2
 1964 04 9814·8
 1964 03 7214.0
 1964 02 4614·8
 1964 01 2315.1
 1963 12  2915·8
 1963 11  9315·2
 1963 10  4715·7
 1963 09  5015·1
 1963 08  4613.4
 1963 07  3215·9
 1963 06  6715·5
 1963 05  9515·7
 1963 04  9813.8
 1963 03  6915·3
 1963 02  2014·5
 1963 01  214.1
 1962 12 6013.2
 1962 11 1213.5
 1962 10 4313·1
 1962 09 3912·9
 1962 08 3413.0
 1962 07 9213·0
 1962 06 9911·3
 1962 05 012.0
 1962 04 4513.6
 1962 03 6512.5
 1962 02 7713.3
 1962 01 613.8
 1961 12  4311.0
 1961 11  1414.3
 1961 10  8815·2
 1961 09  016.9
 1961 08  316·0
 1961 07  4515.6
 1961 06  7214.7
 1961 05  5113·9
 1961 04  2613.6
 1961 03  9015·2
 1961 02  9115·4
 1961 01  5414·8
 1960 12 3714.9
 1960 11 511·7
 1960 10 3213·2
 1960 09 2713.5
 1960 08 8712·6
 1960 07 7310·9
 1960 06 912·2
 1960 05 1511·8
 1960 04 5112·5
 1960 03 9813.1
 1960 02 6013·0
 1960 01 8713·7
 1959 12  2913.7
 1959 11  1413.5
 1959 10  4713·3
 1959 09  3611.4
 1959 08  4712.4
 1959 07  7711.8
 1959 06  5912.3
 1959 05  8312.2
 1959 04  5514·0
 1959 03  6910.9
 1959 02  79·5
 1959 01  719.5
 1958 12 2910.7
 1958 11 9611·6
 1958 10 3112.2
 1958 09 6913.7
 1958 08 6912·9
 1958 07 8915.2
 1958 06 9312·9
 1958 05 7212.4
 1958 04 014.2
 1958 03 610.0
 1958 02 8112·1
 1958 01 9912·6
 1957 12  7311·8
 1957 11  289·2
 1957 10  78·0
 1957 09  938.6
 1957 08  6210.3
 1957 07  629·9
 1957 06  119.5
 1957 05  2410.5
 1957 04  709.1
 1957 03  398·5
 1957 02  539·2
 1957 01  878.6
 1956 12 207·8
 1956 11 1710.0
 1956 10 248.6
 1956 09 997.8
 1956 08 648·3
 1956 07 769.6
 1956 06 3410.4
 1956 05 610·0
 1956 04 769·2
 1956 03 2312·4
 1956 02 2311.4
 1956 01 7710·2
 1955 12  5710·0
 1955 11  909·8
 1955 10  538·8
 1955 09  59·9
 1955 08  338.8
 1955 07  348.3
 1955 06  139·0
 1955 05  108·6
 1955 04  548·7
 1955 03  369·2
 1955 02  149·3
 1955 01  3610.6
 1954 12 9510·7
 1954 11 36·8
 1954 10 9411·8
 1954 09 5211.5
 1954 08 5611.2
 1954 07 6610.3
 1954 06 189·0
 1954 05 529·1
 1954 04 6411·3
 1954 03 839.7
 1954 02 7212·1
 1954 01 5513·5
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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 Women: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

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