Link to Series in Level 1 Subscription Site
Link to Series in Level 2 Subscription Site
Link to Series in Level 0 Subscription Site
2012 04 616.4
2012 03 5416·4
2012 02 1616.5
2012 01 2016·0
2011 12 1716.7
2011 11 6216·8
2011 10 916.7
2011 09 4617·3
2011 08 3917.6
2011 07 1117.4
2011 06 4717.3
2011 05 1517·2
2011 04 2117.6
2011 03 8517.5
2011 02 4217.6
2011 01 7017·9
2010 12 3918·0
2010 11 8918·4
2010 10 3318.6
2010 09 8117.9
2010 08 9317.9
2010 07 5518·5
2010 06 8218.3
2010 05 4218.1
2010 04 919·6
2010 03 4018·8
2010 02 7718·6
2010 01 7118·7
2009 12 3718.8
2009 11 2619·1
2009 10 3219.1
2009 09 1418.4
2009 08 5218·2
2009 07 1817·9
2009 06 8318.1
2009 05 3917.5
2009 04 5516.7
2009 03 4916·4
2009 02 9415.9
2009 01 4114·9
2008 12 7114·8
2008 11 7614.0
2008 10 5313.6
2008 09 3813.5
2008 08 5113·1
2008 07 7913·5
2008 06 7312·9
2008 05 7413.0
2008 04 7011.0
2008 03 6611·4
2008 02 9111.4
2008 01 2011·7
2007 12 2811.7
2007 11 6910.8
2007 10 7110·7
2007 09 6811.2
2007 08 5110·7
2007 07 4310·5
2007 06 010.6
2007 05 399.9
2007 04 9010.3
2007 03 7110·0
2007 02 919·9
2007 01 7610.3
2006 12 1910·0
2006 11 5910.6
2006 10 8210·6
2006 09 4810·6
2006 08 3810.7
2006 07 3910.9
2006 06 3710.4
2006 05 4910.0
2006 04 7410·3
2006 03 6710·5
2006 02 4210.8
2006 01 010·4
2005 12 7710.5
2005 11 2611.1
2005 10 1110.8
2005 09 4310·8
2005 08 2211·1
2005 07 2110.7
2005 06 8211·1
2005 05 4811·7
2005 04 1011·8
2005 03 8411·8
2005 02 1812·4
2005 01 911·6
2004 12 6511.7
2004 11 7311·5
2004 10 512·1
2004 09 4611·7
2004 08 3911·5
2004 07 6812·1
2004 06 5912·0
2004 05 112·1
2004 04 611·6
2004 03 7712·0
2004 02 1511·7
2004 01 4612.0
2003 12 6711·7
2003 11 3012·1
2003 10 3812·2
2003 09 7312·8
2003 08 4812.3
2003 07 8513·0
2003 06 1513·2
2003 05 112·9
2003 04 9912·6
2003 03 2412.0
2003 02 5812·1
2003 01 7612.0
2002 12 9512.1
2002 11 5212.1
2002 10 711·8
2002 09 6611·7
2002 08 3612.0
2002 07 212.1
2002 06 2311·8
2002 05 6511.6
2002 04 4912.3
2002 03 3012·5
2002 02 9411.8
2002 01 9212.1
2001 12 8312·2
2001 11 1711·6
2001 10 3511.5
2001 09 9210.8
2001 08 1411.2
2001 07 7210.2
2001 06 8110.4
2001 05 339.9
2001 04 4210·2
2001 03 249.8
2001 02 979.6
2001 01 109·6
2000 12 939.2
2000 11 319.1
2000 10 708.9
2000 09 428.9
2000 08 169.3
2000 07 749·3
2000 06 139.3
2000 05 749.8
2000 04 889·2
2000 03 609·6
2000 02 649.9
2000 01 739.4
1999 12 99·6
1999 11 219·9
1999 10 8610·0
1999 09 3510·2
1999 08 49·6
1999 07 139·9
1999 06 6710·0
1999 05 789.6
1999 04 2310·0
1999 03 199·9
1999 02 1910.1
1999 01 4710.2
1998 12 439·6
1998 11 439·8
1998 10 8010·5
1998 09 1011·0
1998 08 6210.8
1998 07 1910.6
1998 06 1510·6
1998 05 6310·3
1998 04 89·7
1998 03 310·5
1998 02 910.6
1998 01 2310·9
1997 12 2910·5
1997 11 7610.8
1997 10 7611·0
1997 09 3611·2
1997 08 211·1
1997 07 4511·2
1997 06 5511·4
1997 05 7011.1
1997 04 2711·6
1997 03 4311.7
1997 02 811·8
1997 01 1912.2
1996 12 2911·8
1996 11 2411.9
1996 10 2211·6
1996 09 311·4
1996 08 5911.6
1996 07 7212.4
1996 06 1111·8
1996 05 6612.2
1996 04 9212·0
1996 03 9212.2
1996 02 1312.2
1996 01 7612.8
1995 12 2912·4
1995 11 1612.0
1995 10 9012.4
1995 09 2912.7
1995 08 9412·5
1995 07 212.5
1995 06 3112·0
1995 05 4311.9
1995 04 3812·0
1995 03 3011.6
1995 02 4811.7
1995 01 6211.4
1994 12 3711.5
1994 11 811·4
1994 10 7912·0
1994 09 5612.1
1994 08 9112·5
1994 07 6612.4
1994 06 8712·4
1994 05 1812.5
1994 04 2613·3
1994 03 6213·1
1994 02 6112·9
1994 01 6813·4
1993 12 9112·5
1993 11 7712.9
1993 10 1213·0
1993 09 5012.6
1993 08 6213·0
1993 07 1813·1
1993 06 7913·7
1993 05 3214·2
1993 04 4013·8
1993 03 1613.6
1993 02 2414·1
1993 01 1014·0
1992 12 5014.2
1992 11 2814·3
1992 10 3613.5
1992 09 214.5
1992 08 4314·2
1992 07 3614.5
1992 06 2715.2
1992 05 5314·4
1992 04 9313·6
1992 03 4714.1
1992 02 3614·2
1992 01 3113.9
1991 12 114·6
1991 11 9113·8
1991 10 2513·9
1991 09 3113.4
1991 08 9313.5
1991 07 2613·8
1991 06 8213.6
1991 05 7213.6
1991 04 1812.7
1991 03 3413·1
1991 02 2012.8
1991 01 9812·6
1990 12 5312·0
1990 11 2012·0
1990 10 7711.8
1990 09 7811·7
1990 08 9811·5
1990 07 1710·7
1990 06 1610.4
1990 05 610.8
1990 04 7811.1
1990 03 8110·6
1990 02 2410.7
1990 01 110·8
1989 12 4311.2
1989 11 9411.3
1989 10 1511·0
1989 09 811.1
1989 08 6910·9
1989 07 6310·6
1989 06 2711·2
1989 05 9610.4
1989 04 5610.6
1989 03 1810·1
1989 02 2110.6
1989 01 5911.8
1988 12 3010.8
1988 11 1810.5
1988 10 8710·8
1988 09 1610.8
1988 08 4111·0
1988 07 4310·8
1988 06 3710·5
1988 05 1011.3
1988 04 6511·2
1988 03 011.8
1988 02 911·3
1988 01 1211.5
1987 12 111·2
1987 11 2011.5
1987 10 6611.8
1987 09 1611.8
1987 08 7611·7
1987 07 6111.8
1987 06 9612.3
1987 05 4012.5
1987 04 3912.6
1987 03 412.8
1987 02 1113.1
1987 01 2813.0
1986 12 6613·0
1986 11 5612.8
1986 10 5013.0
1986 09 5113.6
1986 08 5713·1
1986 07 4813·3
1986 06 7613·5
1986 05 113.7
1986 04 3913·7
1986 03 3613.2
1986 02 7513.6
1986 01 9913·0
1985 12 6013.5
1985 11 413·5
1985 10 6214.1
1985 09 8713.3
1985 08 9713·3
1985 07 5614.2
1985 06 7513·5
1985 05 3613.6
1985 04 5013.2
1985 03 2513.6
1985 02 7513.6
1985 01 4013·6
1984 12 4413·7
1984 11 6813.2
1984 10 5113.6
1984 09 1714·0
1984 08 3014.1
1984 07 6613·7
1984 06 1613·2
1984 05 1313·6
1984 04 8414·5
1984 03 2614·4
1984 02 714·3
1984 01 9514.8
1983 12 414.9
1983 11 7915.4
1983 10 8816.2
1983 09 5816·4
1983 08 1817.3
1983 07 8216·8
1983 06 4717·8
1983 05 2117·7
1983 04 7518·0
1983 03 1618.2
1983 02 9618·4
1983 01 2918.5
1982 12 5018.9
1982 11 9019·0
1982 10 7318.5
1982 09 5018.2
1982 08 4518.1
1982 07 3218·0
1982 06 4117.5
1982 05 7917·3
1982 04 8417·4
1982 03 216.9
1982 02 8917.0
1982 01 3516·5
1981 12 1816.1
1981 11 8015.9
1981 10 2815·3
1981 09 6114.9
1981 08 2214·5
1981 07 7314.1
1981 06 9714·9
1981 05 2815.1
1981 04 9714·5
1981 03 1214.5
1981 02 5914.6
1981 01 2914·5
1980 12 6813·7
1980 11 5414·4
1980 10 114·5
1980 09 8314·3
1980 08 8514.7
1980 07 8114.9
1980 06 3714.7
1980 05 3514·7
1980 04 2413·1
1980 03 012·3
1980 02 512·5
1980 01 5312·6
1979 12 8512.4
1979 11 4211.6
1979 10 6612·1
1979 09 3212.1
1979 08 9412.2
1979 07 6311.6
1979 06 1011.5
1979 05 9111.6
1979 04 111.6
1979 03 4611.6
1979 02 4911.7
1979 01 7411·6
1978 12 8112·1
1978 11 9611·9
1978 10 2011·5
1978 09 5112.1
1978 08 3511·7
1978 07 4712.5
1978 06 8811·7
1978 05 1411·8
1978 04 8812·6
1978 03 5313.0
1978 02 3913.0
1978 01 8412·9
1977 12 9112.2
1977 11 9813.1
1977 10 8713·0
1977 09 513.5
1977 08 1813.7
1977 07 8713·3
1977 06 6914·0
1977 05 4613·7
1977 04 7113·7
1977 03 5314·2
1977 02 4914·5
1977 01 014·3
1976 12 7514·8
1976 11 5114·9
1976 10 1414.9
1976 09 8814·4
1976 08 8015.0
1976 07 6314.2
1976 06 7814.5
1976 05 5214·3
1976 04 6114·9
1976 03 9714.6
1976 02 7714·7
1976 01 6315·4
1975 12 1915·6
1975 11 8415·7
1975 10 7516·1
1975 09 1416.1
1975 08 7916.3
1975 07 8016.6
1975 06 6016·3
1975 05 2516.9
1975 04 9216.5
1975 03 6716·2
1975 02 4515.6
1975 01 4015.1
1974 12 3314·2
1974 11 5213.4
1974 10 6812.5
1974 09 2812·6
1974 08 311·7
1974 07 6612·1
1974 06 9111.8
1974 05 8211.3
1974 04 2610.5
1974 03 6610·7
1974 02 211·0
1974 01 2310.8
1973 12 5410.5
1973 11 3310.4
1973 10 1510.0
1973 09 9410·7
1973 08 6110·3
1973 07 7510·6
1973 06 6710·4
1973 05 6510·7
1973 04 4811·0
1973 03 2310·4
1973 02 2010.9
1973 01 2910·2
1972 12 4111.3
1972 11 3311.5
1972 10 6412·0
1972 09 612·0
1972 08 9012·1
1972 07 8712·0
1972 06 1111·8
1972 05 3911·8
1972 04 6912·4
1972 03 9312.8
1972 02 9912.8
1972 01 9912·7
1971 12 8012·7
1971 11 8013·0
1971 10 9012.4
1971 09 7912.4
1971 08 4912.8
1971 07 712.9
1971 06 7313.2
1971 05 9813·0
1971 04 2412.5
1971 03 5512.8
1971 02 6012·5
1971 01 112.6
1970 12 8212·8
1970 11 3012.9
1970 10 8912.2
1970 09 5612·1
1970 08 2411.4
1970 07 6411·0
1970 06 2411.2
1970 05 5810·4
1970 04 7410.4
1970 03 139·6
1970 02 529·8
1970 01 259·3
1969 12 838·4
1969 11 608·2
1969 10 868.8
1969 09 38.9
1969 08 268.2
1969 07 118·7
1969 06 638.3
1969 05 608·3
1969 04 48·2
1969 03 978·3
1969 02 488·1
1969 01 908·2
1968 12 428·5
1968 11 768·4
1968 10 278.2
1968 09 138·2
1968 08 908.6
1968 07 289·0
1968 06 139·6
1968 05 728·5
1968 04 248·1
1968 03 618·8
1968 02 459.0
1968 01 378.4
1967 12 458·9
1967 11 79.0
1967 10 869·1
1967 09 18·9
1967 08 778.8
1967 07 208·9
1967 06 228.7
1967 05 858·5
1967 04 718.2
1967 03 858·1
1967 02 688·4
1967 01 318·5
1966 12 38.6
1966 11 68.1
1966 10 618·3
1966 09 108·4
1966 08 728.5
1966 07 168.3
1966 06 648·8
1966 05 169.0
1966 04 58·7
1966 03 728.7
1966 02 648·2
1966 01 678·8
1965 12 519.1
1965 11 549.3
1965 10 759·5
1965 09 79.6
1965 08 879·5
1965 07 709·9
1965 06 3510.4
1965 05 710·3
1965 04 1211.1
1965 03 5110.6
1965 02 611·2
1965 01 5911.1
1964 12 5111.4
1964 11 5510.8
1964 10 7611·4
1964 09 8311·1
1964 08 5611·5
1964 07 6110.7
1964 06 5911·7
1964 05 2411.6
1964 04 111.9
1964 03 7811·8
1964 02 9211·8
1964 01 5012·1
1963 12 8711·7
1963 11 3712.5
1963 10 3812.5
1963 09 5612.5
1963 08 4011·8
1963 07 9412·6
1963 06 8412.2
1963 05 6012·7
1963 04 912.0
1963 03 3212·0
1963 02 4512.4
1963 01 711.6
1962 12 7011·1
1962 11 5611·9
1962 10 5711·1
1962 09 6611·3
1962 08 2411.9
1962 07 9811.1
1962 06 8410.5
1962 05 3111.0
1962 04 9611·2
1962 03 1611·6
1962 02 1311·6
1962 01 2212.0
1961 12 3611·9
1961 11 9012·0
1961 10 5812.8
1961 09 8113·1
1961 08 1913.0
1961 07 2713.4
1961 06 5613.1
1961 05 7913·1
1961 04 4714.3
1961 03 6013.4
1961 02 7013.3
1961 01 1013.0
1960 12 4513·0
1960 11 4412.0
1960 10 8811.8
1960 09 9311.0
1960 08 6211·4
1960 07 6110·8
1960 06 2311.0
1960 05 7110·7
1960 04 7410·9
1960 03 1811.5
1960 02 1310.2
1960 01 1510.9
1959 12 8211.1
1959 11 4711.3
1959 10 2011.5
1959 09 1811.3
1959 08 1111.2
1959 07 410.5
1959 06 3310.5
1959 05 9910.0
1959 04 1210.8
1959 03 7011.1
1959 02 6511·1
1959 01 311.6
1958 12 5912.1
1958 11 5312.0
1958 10 5313·0
1958 09 9813.9
1958 08 5313.5
1958 07 8414·5
1958 06 6013.2
1958 05 7913·8
1958 04 2014·5
1958 03 2012.7
1958 02 7512.4
1958 01 6511.7
1957 12 1010.4
1957 11 4210·9
1957 10 98.8
1957 09 08·8
1957 08 998·9
1957 07 588.6
1957 06 29.1
1957 05 548·6
1957 04 868.5
1957 03 978·0
1957 02 158.4
1957 01 198·8
1956 12 978.3
1956 11 199·0
1956 10 378·1
1956 09 167·8
1956 08 838·1
1956 07 38.9
1956 06 809·2
1956 05 899.0
1956 04 198·4
1956 03 568·7
1956 02 848.0
1956 01 68.1
1955 12 58·2
1955 11 118.4
1955 10 98.4
1955 09 639·0
1955 08 678.6
1955 07 248.5
1955 06 458·7
1955 05 778·7
1955 04 558.6
1955 03 768·6
1955 02 49.0
1955 01 949·6
1954 12 4410·0
1954 11 7410·3
1954 10 2410.4
1954 09 8112.1
1954 08 3511·1
1954 07 5010.7
1954 06 689.5
1954 05 3511.1
1954 04 5411.4
1954 03 6110.8
1954 02 2311.1
1954 01 7310·2
1953 12 509·8
1953 11 877.1
1953 10 46.6
1953 09 396·0
1953 08 06.1
1953 07 365·2
1953 06 475.4
1953 05 44.8
1953 04 25.6
1953 03 405·3
1953 02 164·9
1953 01 615·2
1952 12 845.9
1952 11 545.9
1952 10 986.3
1952 09 287·1
1952 08 956·4
1952 07 616.4
1952 06 66.0
1952 05 516.3
1952 04 105·8
1952 03 675·9
1952 02 796·0
1952 01 996·2
1951 12 315·3
1951 11 56·6
1951 10 795.7
1951 09 655.8
1951 08 825·4
1951 07 295.9
1951 06 935.7
1951 05 694.8
1951 04 135.5
1951 03 235.8
1951 02 365.5
1951 01 545.9
1950 12 17·4
1950 11 937·1
1950 10 446·9
1950 09 918·7
1950 08 458.0
1950 07 708.7
1950 06 819.3
1950 05 7310·0
1950 04 729·7
1950 03 1110.9
1950 02 3411.8
1950 01 1912.2
1949 12 3111·6
1949 11 9811·4
1949 10 1712.9
1949 09 7311.8
1949 08 9712·5
1949 07 3811·9
1949 06 6711.2
1949 05 611.0
1949 04 7210·0
1949 03 619·3
1949 02 488.7
1949 01 98.0
1948 12 807.2
1948 11 256.8
1948 10 466·4
1948 09 46.7
1948 08 727·1
1948 07 127·5
1948 06 767·3
1948 05 346.7
1948 04 237.8
1948 03 278.7
1948 02 747.7
1948 01 686·8
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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.
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Example 1: Get Unemployment Rates for people in Computer jobs |
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Example 2: Get Employment Data for Workers in the "Retail Trade" Industry |
|
Example 3: Get Population Level Data for Workers |
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