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 Series Title: Employment-Population Ratio: 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 8765·7
 2012 03 7465.9
 2012 02 2266.0
 2012 01 7765.8
 2011 12  965.8
 2011 11  9265.6
 2011 10  9965·2
 2011 09  3565·4
 2011 08  8665·3
 2011 07  9565.2
 2011 06  6365.2
 2011 05  7965.4
 2011 04  6765·2
 2011 03  6565.2
 2011 02  2965.3
 2011 01  5365.1
 2010 12 2765·0
 2010 11 1064.7
 2010 10 3464.9
 2010 09 2765.3
 2010 08 6765.3
 2010 07 6165.3
 2010 06 4165·2
 2010 05 9465·4
 2010 04 1365.3
 2010 03 7565.1
 2010 02 3864.9
 2010 01 7464.8
 2009 12  1564·7
 2009 11  3265.0
 2009 10  3865.1
 2009 09  1165·4
 2009 08  4865·7
 2009 07  4165·9
 2009 06  7966.0
 2009 05  7466·2
 2009 04  1266.4
 2009 03  3266·4
 2009 02  2367.1
 2009 01  5767·6
 2008 12 3368·0
 2008 11 6168·6
 2008 10 5969·0
 2008 09 7969·2
 2008 08 6269·5
 2008 07 1269·9
 2008 06 9969·9
 2008 05 8570.2
 2008 04 7370·3
 2008 03 9070.5
 2008 02 8270.6
 2008 01 4370.7
 2007 12  6870.6
 2007 11  2770.6
 2007 10  7070·6
 2007 09  4870·5
 2007 08  7170.3
 2007 07  8070.7
 2007 06  5071.0
 2007 05  1971.1
 2007 04  3371.3
 2007 03  3071·5
 2007 02  3771·3
 2007 01  071·4
 2006 12 2971·5
 2006 11 8471.4
 2006 10 6871·4
 2006 09 5971·3
 2006 08 6071.2
 2006 07 7371·0
 2006 06 671·2
 2006 05 9371·2
 2006 04 5171·3
 2006 03 5571·4
 2006 02 3871.2
 2006 01 1871.4
 2005 12  5370.9
 2005 11  1170.8
 2005 10  7870.8
 2005 09  8170·7
 2005 08  4071·1
 2005 07  4770.9
 2005 06  6371·0
 2005 05  4871.0
 2005 04  1470·9
 2005 03  9570·7
 2005 02  5670.6
 2005 01  1670.5
 2004 12 9970·5
 2004 11 1270.7
 2004 10 4670.5
 2004 09 370.3
 2004 08 4770·6
 2004 07 8070.8
 2004 06 4570·3
 2004 05 5370·1
 2004 04 3170.2
 2004 03 470.1
 2004 02 9170.3
 2004 01 3570.6
 2003 12  5470.3
 2003 11  1770·3
 2003 10  4770·2
 2003 09  4370.0
 2003 08  4069·9
 2003 07  7669.9
 2003 06  069.9
 2003 05  9770·0
 2003 04  3970.2
 2003 03  6170.2
 2003 02  6470.4
 2003 01  4170.1
 2002 12 2870.3
 2002 11 8070.5
 2002 10 7770.7
 2002 09 4470·9
 2002 08 670·8
 2002 07 6570.9
 2002 06 170·9
 2002 05 9971.1
 2002 04 9870.8
 2002 03 7170.9
 2002 02 2571·1
 2002 01 2770.8
 2001 12  5671·1
 2001 11  8171·1
 2001 10  6171.4
 2001 09  7071.8
 2001 08  5471.6
 2001 07  171·9
 2001 06  4772.0
 2001 05  072.1
 2001 04  9472.4
 2001 03  6372.6
 2001 02  4672·7
 2001 01  872·8
 2000 12 9972·7
 2000 11 2372.6
 2000 10 4672·7
 2000 09 1672·7
 2000 08 2173·1
 2000 07 6472.7
 2000 06 5973·1
 2000 05 6673·0
 2000 04 3673.1
 2000 03 9173.4
 2000 02 2573·3
 2000 01 2873.4
 1999 12  4372·9
 1999 11  3772.8
 1999 10  472.7
 1999 09  9672.8
 1999 08  6872·7
 1999 07  5772·9
 1999 06  8772·8
 1999 05  9072·8
 1999 04  6172·8
 1999 03  3573.1
 1999 02  8573·0
 1999 01  5373·0
 1998 12 9872·8
 1998 11 7573·0
 1998 10 3672·7
 1998 09 5472·7
 1998 08 7972·6
 1998 07 1172.6
 1998 06 372·6
 1998 05 8872·8
 1998 04 2972.8
 1998 03 9872·6
 1998 02 7472.8
 1998 01 7472.7
 1997 12  9972.8
 1997 11  1873.0
 1997 10  6272.7
 1997 09  5572·6
 1997 08  6572·6
 1997 07  7972.7
 1997 06  572·7
 1997 05  272·9
 1997 04  2672.7
 1997 03  1072.6
 1997 02  6672.4
 1997 01  872.4
 1996 12 872.4
 1996 11 7072·3
 1996 10 3272·7
 1996 09 9272·4
 1996 08 6272.3
 1996 07 4072.4
 1996 06 1772.4
 1996 05 9972·2
 1996 04 6272·1
 1996 03 2672·0
 1996 02 5872·1
 1996 01 9871.9
 1995 12  1071.8
 1995 11  6071.6
 1995 10  1872.1
 1995 09  8272·1
 1995 08  3071·9
 1995 07  9972.0
 1995 06  8672.0
 1995 05  7171·7
 1995 04  7372.1
 1995 03  2572.3
 1995 02  7472.4
 1995 01  972·4
 1994 12 1572.4
 1994 11 4372·3
 1994 10 1972·2
 1994 09 6672.0
 1994 08 5571.9
 1994 07 8671.6
 1994 06 8571·5
 1994 05 3471.5
 1994 04 1971·4
 1994 03 1071.3
 1994 02 6171·4
 1994 01 3471·6
 1993 12  5871.4
 1993 11  9771.5
 1993 10  5771·5
 1993 09  1071·3
 1993 08  4771·6
 1993 07  5471·4
 1993 06  1371·5
 1993 05  3171·4
 1993 04  8671.3
 1993 03  1271·3
 1993 02  9271.3
 1993 01  9071·2
 1992 12 171.2
 1992 11 2871.0
 1992 10 8171.1
 1992 09 871.2
 1992 08 4271·2
 1992 07 8371·3
 1992 06 9371·1
 1992 05 2771.2
 1992 04 8571·3
 1992 03 8471.1
 1992 02 6671.0
 1992 01 1871.1
 1991 12  2970.9
 1991 11  6471.2
 1991 10  6371.3
 1991 09  7571·4
 1991 08  171·4
 1991 07  7771·5
 1991 06  7271.6
 1991 05  1671·7
 1991 04  5171·9
 1991 03  771·7
 1991 02  672.0
 1991 01  8672·2
 1990 12 5372.5
 1990 11 5972·6
 1990 10 272·9
 1990 09 5372.9
 1990 08 973·2
 1990 07 6673·3
 1990 06 2473.5
 1990 05 1373·5
 1990 04 4473·5
 1990 03 8373·8
 1990 02 5973·9
 1990 01 8473·9
 1989 12  873.6
 1989 11  9373.6
 1989 10  2173·7
 1989 09  1073·2
 1989 08  7673.9
 1989 07  373.8
 1989 06  4673·9
 1989 05  6173·7
 1989 04  5073.8
 1989 03  4373.9
 1989 02  9973·6
 1989 01  3073.5
 1988 12 5473·2
 1988 11 7173.4
 1988 10 6773.2
 1988 09 3773·3
 1988 08 3873.3
 1988 07 6873.4
 1988 06 6373·3
 1988 05 2673.2
 1988 04 7973.3
 1988 03 4173.0
 1988 02 2473.3
 1988 01 6573·0
 1987 12  7773·0
 1987 11  2172.9
 1987 10  1472.8
 1987 09  5072·8
 1987 08  5672.8
 1987 07  6672·6
 1987 06  2172.5
 1987 05  072.8
 1987 04  6872.5
 1987 03  5672.4
 1987 02  5772.5
 1987 01  5772·5
 1986 12 8872.6
 1986 11 9872·5
 1986 10 6072.3
 1986 09 9372·3
 1986 08 1672·3
 1986 07 2572·2
 1986 06 9372·2
 1986 05 9972·0
 1986 04 7772·2
 1986 03 9272·2
 1986 02 4572.2
 1986 01 9772.7
 1985 12  2272.4
 1985 11  8172·5
 1985 10  2872.5
 1985 09  3072·4
 1985 08  2772·1
 1985 07  072.1
 1985 06  7972·0
 1985 05  6772.5
 1985 04  9172·4
 1985 03  7972·4
 1985 02  6272·2
 1985 01  272.2
 1984 12 4072.4
 1984 11 7572·3
 1984 10 6572.3
 1984 09 5572·4
 1984 08 2572·1
 1984 07 7072.4
 1984 06 172.7
 1984 05 6972·1
 1984 04 2071.9
 1984 03 7071·8
 1984 02 771.7
 1984 01 1471.5
 1983 12  2771·6
 1983 11  871·4
 1983 10  4671.0
 1983 09  8370.9
 1983 08  7170·8
 1983 07  4070·8
 1983 06  670·6
 1983 05  9769·7
 1983 04  169.5
 1983 03  4769.3
 1983 02  169·3
 1983 01  9969·5
 1982 12 9469·6
 1982 11 3669.8
 1982 10 6770·1
 1982 09 5870·3
 1982 08 5070.4
 1982 07 3870·3
 1982 06 6970·6
 1982 05 6871·4
 1982 04 9471.0
 1982 03 1171·2
 1982 02 9371·5
 1982 01 4971·4
 1981 12  7771.6
 1981 11  3672.0
 1981 10  5372.4
 1981 09  4572·6
 1981 08  7472.9
 1981 07  2073·1
 1981 06  8672·8
 1981 05  2473.3
 1981 04  8573·5
 1981 03  9473.3
 1981 02  5673.2
 1981 01  8273.1
 1980 12 3573·1
 1980 11 1472.9
 1980 10 5172.9
 1980 09 3672.7
 1980 08 7672.7
 1980 07 6472.8
 1980 06 8273·0
 1980 05 3273·4
 1980 04 8373·7
 1980 03 4874.4
 1980 02 8974·9
 1980 01 3874.6
 1979 12  5574·8
 1979 11  074·6
 1979 10  3374·6
 1979 09  4974·8
 1979 08  1974.7
 1979 07  7475·1
 1979 06  475.2
 1979 05  8375.1
 1979 04  2575·2
 1979 03  5475.3
 1979 02  1375·7
 1979 01  8675.5
 1978 12 4775.1
 1978 11 4675·3
 1978 10 9974.9
 1978 09 2574.8
 1978 08 8875.2
 1978 07 8175·0
 1978 06 2575.4
 1978 05 9575·1
 1978 04 7175.0
 1978 03 1674.6
 1978 02 7874.7
 1978 01 1574.8
 1977 12  4774.9
 1977 11  3374.8
 1977 10  7274.6
 1977 09  3074.2
 1977 08  9274·3
 1977 07  3874.2
 1977 06  4374.2
 1977 05  874·0
 1977 04  673.9
 1977 03  6373.6
 1977 02  5673·5
 1977 01  4473·3
 1976 12 1573.3
 1976 11 6573·2
 1976 10 9873.4
 1976 09 5773.3
 1976 08 6873·6
 1976 07 2473·4
 1976 06 8273·3
 1976 05 9173·5
 1976 04 4273·6
 1976 03 4973·3
 1976 02 4673·3
 1976 01 1473·0
 1975 12  3672.7
 1975 11  7072.6
 1975 10  5272.7
 1975 09  2272.8
 1975 08  7773·0
 1975 07  4572.9
 1975 06  8972.7
 1975 05  3373·0
 1975 04  1473.0
 1975 03  5473·2
 1975 02  7073·4
 1975 01  9273·7
 1974 12 2274·5
 1974 11 575·2
 1974 10 3175·5
 1974 09 6875·7
 1974 08 375.7
 1974 07 2875.8
 1974 06 3776.2
 1974 05 5476·3
 1974 04 8176.1
 1974 03 8276.5
 1974 02 7676.7
 1974 01 7076·7
 1973 12  876·6
 1973 11  4676.6
 1973 10  5976·6
 1973 09  6076·4
 1973 08  5776·3
 1973 07  2976.7
 1973 06  2576·6
 1973 05  9376·2
 1973 04  3176.4
 1973 03  6276.7
 1973 02  3776·3
 1973 01  6476.0
 1972 12 5376.3
 1972 11 076.1
 1972 10 8376·0
 1972 09 9176·1
 1972 08 7676.2
 1972 07 2776·0
 1972 06 7676·0
 1972 05 1975.8
 1972 04 7375·8
 1972 03 4875·8
 1972 02 5275.6
 1972 01 1675.7
 1971 12  4575·7
 1971 11  9675·7
 1971 10  7775.6
 1971 09  7875·6
 1971 08  1875·8
 1971 07  2675.8
 1971 06  3675·5
 1971 05  2275·9
 1971 04  4375·8
 1971 03  2075·4
 1971 02  4475·7
 1971 01  9475·8
 1970 12 9375.9
 1970 11 8676.1
 1970 10 3876·1
 1970 09 6276·3
 1970 08 7176·3
 1970 07 5576.6
 1970 06 8176·7
 1970 05 2077.2
 1970 04 177·4
 1970 03 8377.7
 1970 02 6077·6
 1970 01 8877.7
 1969 12  3377.9
 1969 11  5278.0
 1969 10  9077.9
 1969 09  1078.2
 1969 08  4478·3
 1969 07  6978.0
 1969 06  778.1
 1969 05  5578.1
 1969 04  3378.3
 1969 03  6578.3
 1969 02  7478.4
 1969 01  1678·2
 1968 12 2678.4
 1968 11 9778·1
 1968 10 8078.2
 1968 09 1478.2
 1968 08 7378.6
 1968 07 4678·6
 1968 06 3778·5
 1968 05 9278.4
 1968 04 5078.3
 1968 03 2078.1
 1968 02 8478.2
 1968 01 2077·9
 1967 12  5778·3
 1967 11  5078.3
 1967 10  8278·5
 1967 09  9178·5
 1967 08  1978.8
 1967 07  9278·7
 1967 06  2178·4
 1967 05  2578.3
 1967 04  8778·2
 1967 03  2978.3
 1967 02  1278·4
 1967 01  6678.5
 1966 12 3678.4
 1966 11 6678.4
 1966 10 9478·3
 1966 09 8278·1
 1966 08 6778.3
 1966 07 3678.2
 1966 06 3078.5
 1966 05 6978.2
 1966 04 578·4
 1966 03 9578.3
 1966 02 778.1
 1966 01 4578.2
 1965 12  078.2
 1965 11  2477·9
 1965 10  3977·9
 1965 09  5577·8
 1965 08  2777.9
 1965 07  3178.2
 1965 06  6377·8
 1965 05  6778·2
 1965 04  8878·0
 1965 03  4777.9
 1965 02  4277·9
 1965 01  7677·7
 1964 12 877.7
 1964 11 2977·8
 1964 10 6477.6
 1964 09 177.9
 1964 08 3677.8
 1964 07 5878.0
 1964 06 4377·6
 1964 05 8678·1
 1964 04 4977·9
 1964 03 4177.5
 1964 02 1577·6
 1964 01 9977·5
 1963 12  4677·5
 1963 11  977·7
 1963 10  4477·8
 1963 09  3778·1
 1963 08  5477.8
 1963 07  2077.9
 1963 06  1777.8
 1963 05  1677·5
 1963 04  2277.6
 1963 03  5477.6
 1963 02  4977·5
 1963 01  8277.6
 1962 12 2677·9
 1962 11 1977.7
 1962 10 7578·3
 1962 09 478.3
 1962 08 6678.3
 1962 07 4678.1
 1962 06 6078·5
 1962 05 7678·7
 1962 04 6778·5
 1962 03 9278.8
 1962 02 9178·8
 1962 01 1678.5
 1961 12  8178.5
 1961 11  3978.5
 1961 10  8278·2
 1961 09  7078.0
 1961 08  8278·3
 1961 07  9278·0
 1961 06  6978·3
 1961 05  677.8
 1961 04  7177.9
 1961 03  8478.3
 1961 02  1678.1
 1961 01  1878·5
 1960 12 7478·6
 1960 11 7279·1
 1960 10 1178·8
 1960 09 2679.2
 1960 08 4079·1
 1960 07 3679.2
 1960 06 6779·4
 1960 05 7479.8
 1960 04 4480·0
 1960 03 8479·3
 1960 02 2180·2
 1960 01 3080.1
 1959 12  8980.2
 1959 11  4779.2
 1959 10  3679·8
 1959 09  9079·9
 1959 08  9880·0
 1959 07  8380·4
 1959 06  180·1
 1959 05  7180·2
 1959 04  2280·4
 1959 03  7179.9
 1959 02  2979.5
 1959 01  1979.4
 1958 12 3779.3
 1958 11 2079·3
 1958 10 5679.5
 1958 09 279.2
 1958 08 4279·0
 1958 07 6178.8
 1958 06 4678·8
 1958 05 1579·0
 1958 04 6478·8
 1958 03 5079·0
 1958 02 8879·5
 1958 01 7680·0
 1957 12  5380·6
 1957 11  7080·7
 1957 10  9381·3
 1957 09  3081.5
 1957 08  8481.7
 1957 07  2682·1
 1957 06  9982·3
 1957 05  4682.0
 1957 04  5782.1
 1957 03  5082·6
 1957 02  7182·4
 1957 01  1882·1
 1956 12 9982.2
 1956 11 082·3
 1956 10 9582·4
 1956 09 6682.5
 1956 08 5882·7
 1956 07 5682·6
 1956 06 8482.7
 1956 05 3282.7
 1956 04 1182·9
 1956 03 2683.0
 1956 02 7683·0
 1956 01 8883.4
 1955 12  5982·9
 1955 11  4082.8
 1955 10  3582.7
 1955 09  2582·6
 1955 08  2682.4
 1955 07  5682.3
 1955 06  4781·8
 1955 05  6582.1
 1955 04  6281·8
 1955 03  5581·8
 1955 02  2781.8
 1955 01  5181·6
 1954 12 4481.2
 1954 11 4581.3
 1954 10 1181.0
 1954 09 5180.9
 1954 08 7281.1
 1954 07 5581.0
 1954 06 6381·1
 1954 05 6181.3
 1954 04 7081.5
 1954 03 4482.0
 1954 02 7182.7
 1954 01 082·6
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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: Employment-Population Ratio: White Men: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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