Link to Series in Level 1 Subscription Site
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2012 04 8715.1
2012 03 7115·4
2012 02 014·2
2012 01 6614.8
2011 12 8215.0
2011 11 6515·0
2011 10 3315·2
2011 09 3515.6
2011 08 015·6
2011 07 1415·9
2011 06 2315·7
2011 05 5915·7
2011 04 9115·9
2011 03 016.0
2011 02 8416·2
2011 01 8316.9
2010 12 3016·1
2010 11 2816·1
2010 10 5217.0
2010 09 7415·4
2010 08 1815.4
2010 07 3115·6
2010 06 9115.3
2010 05 2816·5
2010 04 8016·6
2010 03 6615.8
2010 02 8915.7
2010 01 6414.8
2009 12 6715·6
2009 11 1316·3
2009 10 5815·8
2009 09 2415.7
2009 08 5315.7
2009 07 8015.5
2009 06 3715.9
2009 05 8014·4
2009 04 4013.8
2009 03 9813.4
2009 02 8813·6
2009 01 2512.5
2008 12 5312.6
2008 11 2411.6
2008 10 010·7
2008 09 7711·9
2008 08 4111.8
2008 07 3911.4
2008 06 8411·4
2008 05 8211·8
2008 04 8110.0
2008 03 5110.3
2008 02 8010·0
2008 01 810·2
2007 12 7410.7
2007 11 909·5
2007 10 509.6
2007 09 509·7
2007 08 439·7
2007 07 149·4
2007 06 829·1
2007 05 268·5
2007 04 409.5
2007 03 39·2
2007 02 888·8
2007 01 819·6
2006 12 409·4
2006 11 6610·0
2006 10 710.0
2006 09 849.9
2006 08 449·7
2006 07 3310·1
2006 06 19.8
2006 05 298.6
2006 04 769·3
2006 03 609.8
2006 02 5910.0
2006 01 359.7
2005 12 889·8
2005 11 319.9
2005 10 9310.0
2005 09 469.5
2005 08 549·8
2005 07 509·6
2005 06 4210.0
2005 05 3211.0
2005 04 7510.5
2005 03 5110·3
2005 02 6710·8
2005 01 8610.4
2004 12 7710·6
2004 11 8910.3
2004 10 5811·1
2004 09 2810·6
2004 08 910·5
2004 07 4611.7
2004 06 2611.2
2004 05 211·1
2004 04 4810·4
2004 03 2911.0
2004 02 1011·3
2004 01 7711·3
2003 12 9310·7
2003 11 6910.6
2003 10 7311.1
2003 09 4711.6
2003 08 7011·9
2003 07 2411·3
2003 06 212·3
2003 05 3211·6
2003 04 3011.6
2003 03 7411·2
2003 02 1011.3
2003 01 7511·2
2002 12 4711.4
2002 11 2711.4
2002 10 3611.3
2002 09 4510.6
2002 08 2210.6
2002 07 1411.4
2002 06 4311·1
2002 05 3710·6
2002 04 8111·6
2002 03 9111·2
2002 02 1710·8
2002 01 7011.2
2001 12 7411·3
2001 11 4110.2
2001 10 7210·6
2001 09 8810.4
2001 08 7610.3
2001 07 699.6
2001 06 469.1
2001 05 608.8
2001 04 889·6
2001 03 88·9
2001 02 28·4
2001 01 808.6
2000 12 358.5
2000 11 158·6
2000 10 288·3
2000 09 688.4
2000 08 678.6
2000 07 708·9
2000 06 369·1
2000 05 689·5
2000 04 618·8
2000 03 8010.0
2000 02 649.7
2000 01 488.8
1999 12 158·6
1999 11 789.7
1999 10 769·5
1999 09 210.3
1999 08 569·3
1999 07 209.3
1999 06 599·3
1999 05 518·9
1999 04 359.5
1999 03 879·6
1999 02 2710.1
1999 01 389.5
1998 12 258·6
1998 11 869.3
1998 10 169.9
1998 09 329·8
1998 08 2910.3
1998 07 499.8
1998 06 9010·3
1998 05 289.3
1998 04 709.5
1998 03 329·7
1998 02 379.7
1998 01 4410.4
1997 12 110.2
1997 11 1710.0
1997 10 699·9
1997 09 2510·3
1997 08 9510.2
1997 07 1110.8
1997 06 2510.7
1997 05 4011.5
1997 04 5411.0
1997 03 4511·0
1997 02 6811·7
1997 01 8211·4
1996 12 211.6
1996 11 7611·4
1996 10 8511·1
1996 09 7210.9
1996 08 9111·3
1996 07 8511·3
1996 06 8911·0
1996 05 5311.2
1996 04 9511.0
1996 03 8011.2
1996 02 1911·3
1996 01 9412·7
1995 12 1511.7
1995 11 9211·3
1995 10 3611.9
1995 09 9012·6
1995 08 7711.5
1995 07 7712·4
1995 06 2911.5
1995 05 5911·3
1995 04 3011.9
1995 03 1711.7
1995 02 1111.2
1995 01 4710.7
1994 12 5010·8
1994 11 1811.0
1994 10 2011·5
1994 09 2111·4
1994 08 3811.7
1994 07 1411.3
1994 06 1811.7
1994 05 7611·4
1994 04 1912·5
1994 03 5912·3
1994 02 9412.0
1994 01 3212.2
1993 12 4311·8
1993 11 3612·1
1993 10 6012·0
1993 09 3211·2
1993 08 8611·8
1993 07 5111.9
1993 06 5412·4
1993 05 4513.3
1993 04 4712·5
1993 03 3612.7
1993 02 4013.3
1993 01 6613·3
1992 12 5413·4
1992 11 4813·2
1992 10 512.6
1992 09 1413·6
1992 08 5513·2
1992 07 6813·6
1992 06 6114.2
1992 05 3312·9
1992 04 2612.5
1992 03 312.4
1992 02 4712·6
1992 01 9212·6
1991 12 6813·7
1991 11 8413.0
1991 10 2613·0
1991 09 8511·7
1991 08 612.4
1991 07 6912·8
1991 06 8612·5
1991 05 3113·0
1991 04 9011.6
1991 03 3812.0
1991 02 3911.7
1991 01 7512·1
1990 12 9710·9
1990 11 9911.2
1990 10 2411·0
1990 09 8611.1
1990 08 2511·0
1990 07 8310.3
1990 06 210·0
1990 05 5710·5
1990 04 110·9
1990 03 4610.6
1990 02 6310.5
1990 01 810.6
1989 12 7510·3
1989 11 7110.4
1989 10 1910.1
1989 09 8410·3
1989 08 2310·2
1989 07 6410·7
1989 06 811·1
1989 05 529·9
1989 04 4410·4
1989 03 5710.3
1989 02 939.9
1989 01 810·8
1988 12 6410·6
1988 11 610·2
1988 10 619.9
1988 09 7010.4
1988 08 3410.5
1988 07 9210·2
1988 06 2610·0
1988 05 8311·1
1988 04 2911·1
1988 03 2411.4
1988 02 2611.0
1988 01 1610·8
1987 12 4910.7
1987 11 3111.2
1987 10 2311·8
1987 09 6211·7
1987 08 2010.9
1987 07 7211.6
1987 06 511·7
1987 05 4211.7
1987 04 9111·9
1987 03 2712.4
1987 02 8612.5
1987 01 9912·6
1986 12 4012.5
1986 11 312·3
1986 10 213·0
1986 09 212·8
1986 08 6512.6
1986 07 3112.7
1986 06 1713.0
1986 05 4513·1
1986 04 9313.0
1986 03 6912·6
1986 02 2013·5
1986 01 4913·0
1985 12 7313.3
1985 11 9912.9
1985 10 2213.2
1985 09 5512.9
1985 08 8112·6
1985 07 2613·3
1985 06 6112.9
1985 05 3513·1
1985 04 1812.7
1985 03 8213·0
1985 02 212.9
1985 01 8213·1
1984 12 913·0
1984 11 2412·6
1984 10 3013.2
1984 09 1513.1
1984 08 313.7
1984 07 3412.9
1984 06 6012·7
1984 05 7813·6
1984 04 7813·9
1984 03 1814.0
1984 02 2913.8
1984 01 4113.9
1983 12 3214.1
1983 11 814.7
1983 10 015·0
1983 09 9715.2
1983 08 9215·7
1983 07 6015·2
1983 06 6116·9
1983 05 6616·0
1983 04 816·4
1983 03 5716·6
1983 02 2516.7
1983 01 9216·8
1982 12 5517·2
1982 11 417.2
1982 10 3016·8
1982 09 4416.2
1982 08 3316·7
1982 07 3416·6
1982 06 3915.8
1982 05 1616.0
1982 04 6815.9
1982 03 315.2
1982 02 3915.9
1982 01 2815.3
1981 12 1114.9
1981 11 9314.7
1981 10 4314·7
1981 09 2214.4
1981 08 3613.6
1981 07 1013.9
1981 06 9014·0
1981 05 7013.9
1981 04 4513·6
1981 03 8613.4
1981 02 4113·5
1981 01 6413.4
1980 12 6212·9
1980 11 7813.2
1980 10 8612·8
1980 09 2412.9
1980 08 3813·2
1980 07 6713·6
1980 06 3713·3
1980 05 9413·8
1980 04 4912.4
1980 03 6012·3
1980 02 3212.5
1980 01 4312.5
1979 12 9412·8
1979 11 8912·0
1979 10 3412.6
1979 09 6512·5
1979 08 9912·9
1979 07 911·8
1979 06 3012.3
1979 05 8012·2
1979 04 1412·2
1979 03 411.9
1979 02 3412·0
1979 01 3111·9
1978 12 1612·3
1978 11 7912.5
1978 10 8311·6
1978 09 8812.8
1978 08 412.4
1978 07 6613.5
1978 06 4112·7
1978 05 4512.9
1978 04 313·2
1978 03 2313·4
1978 02 9413·2
1978 01 2013·5
1977 12 6412·7
1977 11 2913·8
1977 10 5713·8
1977 09 5913.9
1977 08 6313.6
1977 07 9313.6
1977 06 6714·3
1977 05 3013.9
1977 04 014.1
1977 03 4514.5
1977 02 8714.6
1977 01 2814.9
1976 12 014·6
1976 11 4214.8
1976 10 514·7
1976 09 7114.3
1976 08 1315.5
1976 07 6713·7
1976 06 3314·3
1976 05 413·8
1976 04 1614·8
1976 03 2514·6
1976 02 1014·9
1976 01 9515.0
1975 12 815.6
1975 11 4915.4
1975 10 9815·5
1975 09 4015·2
1975 08 1415·5
1975 07 9415.5
1975 06 8615.0
1975 05 5716.6
1975 04 8615.3
1975 03 4315.9
1975 02 8615.3
1975 01 9014.9
1974 12 9914·4
1974 11 213.6
1974 10 3612·7
1974 09 813.0
1974 08 5212·0
1974 07 313.2
1974 06 9912·4
1974 05 612·0
1974 04 7210.8
1974 03 311.2
1974 02 6311.5
1974 01 211·6
1973 12 811.3
1973 11 8211.0
1973 10 4010·6
1973 09 4111·7
1973 08 3710·9
1973 07 4811.6
1973 06 7011.0
1973 05 9211·1
1973 04 5811.7
1973 03 3311.1
1973 02 1411·7
1973 01 5010.8
1972 12 9711·6
1972 11 9311·6
1972 10 6012.6
1972 09 3212·6
1972 08 412.7
1972 07 913·0
1972 06 2212.6
1972 05 8411.8
1972 04 5512·3
1972 03 8912·3
1972 02 3712·1
1972 01 7512.4
1971 12 5012·3
1971 11 6313·1
1971 10 6812.0
1971 09 9812.2
1971 08 1412.4
1971 07 9012.9
1971 06 413.1
1971 05 7212.9
1971 04 9912.7
1971 03 4913.0
1971 02 5612·5
1971 01 4312.2
1970 12 7812·5
1970 11 4813.0
1970 10 6311·3
1970 09 7911·5
1970 08 5311.2
1970 07 1910.5
1970 06 8810·9
1970 05 7410.4
1970 04 5010.5
1970 03 1810.1
1970 02 1810·3
1970 01 4710·0
1969 12 178.8
1969 11 278.6
1969 10 679·7
1969 09 439.4
1969 08 329·2
1969 07 529·1
1969 06 729.1
1969 05 319.4
1969 04 939·3
1969 03 269.0
1969 02 969·0
1969 01 48.7
1968 12 289.7
1968 11 49·4
1968 10 289·2
1968 09 829.3
1968 08 859·5
1968 07 6810·3
1968 06 8010.6
1968 05 99·6
1968 04 409·0
1968 03 259.6
1968 02 8910.1
1968 01 559.4
1967 12 959.9
1967 11 79.5
1967 10 2010·4
1967 09 1310·4
1967 08 739.5
1967 07 7110·2
1967 06 599.5
1967 05 29·0
1967 04 268·8
1967 03 979·2
1967 02 2010·1
1967 01 679·9
1966 12 299.0
1966 11 938.9
1966 10 409·6
1966 09 769.6
1966 08 829·9
1966 07 909.9
1966 06 8310.1
1966 05 2510·3
1966 04 1110·1
1966 03 459.5
1966 02 369.1
1966 01 3110.2
1965 12 6710·0
1965 11 3910.8
1965 10 129.8
1965 09 4010·4
1965 08 2310.0
1965 07 7910·4
1965 06 4911.1
1965 05 2011·0
1965 04 8211·9
1965 03 9812.2
1965 02 1012·7
1965 01 6612.1
1964 12 6712·9
1964 11 5011·0
1964 10 8312.2
1964 09 9611·3
1964 08 3111·7
1964 07 1911·1
1964 06 8112·3
1964 05 5512.8
1964 04 4712.3
1964 03 1012·2
1964 02 4112·0
1964 01 1212.2
1963 12 1712·0
1963 11 5613.3
1963 10 2713.7
1963 09 6013·0
1963 08 6611·6
1963 07 1212.9
1963 06 2612·7
1963 05 2012.7
1963 04 4411.5
1963 03 6211.5
1963 02 5212.0
1963 01 3511.6
1962 12 2711.6
1962 11 1011.9
1962 10 4211.2
1962 09 7512·0
1962 08 1412.0
1962 07 9011.7
1962 06 5810·1
1962 05 3310·7
1962 04 3211.7
1962 03 5712·3
1962 02 9011·5
1962 01 2912.3
1961 12 3110·9
1961 11 9311·7
1961 10 5012·7
1961 09 713.9
1961 08 8612·7
1961 07 513.4
1961 06 7512·7
1961 05 3612.5
1961 04 9813.5
1961 03 2413.0
1961 02 3012.6
1961 01 1012.5
1960 12 9112.7
1960 11 711.4
1960 10 011·0
1960 09 4810·7
1960 08 1710·6
1960 07 3610·0
1960 06 010.9
1960 05 9510·6
1960 04 5110·5
1960 03 1810.7
1960 02 6810·4
1960 01 1910.8
1959 12 9310.4
1959 11 8410.8
1959 10 6510.7
1959 09 1510·2
1959 08 6810.6
1959 07 909·9
1959 06 8110.4
1959 05 210.2
1959 04 2711·3
1959 03 1810·8
1959 02 289·7
1959 01 2410.2
1958 12 4610.8
1958 11 7610·6
1958 10 4311.1
1958 09 5011·8
1958 08 2411·4
1958 07 9412·3
1958 06 9011.2
1958 05 7411·4
1958 04 8813·3
1958 03 299·8
1958 02 5710.0
1958 01 1610·0
1957 12 868·6
1957 11 638.2
1957 10 577·0
1957 09 197.3
1957 08 968.6
1957 07 38·1
1957 06 278.0
1957 05 538·2
1957 04 177·7
1957 03 807.3
1957 02 308·3
1957 01 128.0
1956 12 757·8
1956 11 508·2
1956 10 558·2
1956 09 158·0
1956 08 197.8
1956 07 969.3
1956 06 139·4
1956 05 58.8
1956 04 267·8
1956 03 249·5
1956 02 447·5
1956 01 548·0
1955 12 968.4
1955 11 668.5
1955 10 97·9
1955 09 539.3
1955 08 547.7
1955 07 786·4
1955 06 987.7
1955 05 237.7
1955 04 517.5
1955 03 427·5
1955 02 228·3
1955 01 87·6
1954 12 627.8
1954 11 657·9
1954 10 199.0
1954 09 7610.6
1954 08 878·7
1954 07 788.8
1954 06 538.3
1954 05 239·0
1954 04 5210·5
1954 03 378·7
1954 02 129·4
1954 01 669·6
1953 12 78·6
1953 11 266·1
1953 10 76·4
1953 09 515·4
1953 08 275.9
1953 07 495·1
1953 06 785.1
1953 05 474.7
1953 04 145.1
1953 03 404·7
1953 02 874·7
1953 01 465.3
1952 12 925·2
1952 11 545.7
1952 10 216·4
1952 09 705.3
1952 08 116.4
1952 07 736·3
1952 06 955.8
1952 05 616.6
1952 04 485·3
1952 03 36.1
1952 02 455.7
1952 01 896·0
1951 12 25.4
1951 11 776.3
1951 10 345.7
1951 09 486·4
1951 08 05.9
1951 07 525.8
1951 06 525.9
1951 05 584.9
1951 04 905.9
1951 03 77·1
1951 02 95·6
1951 01 626.2
1950 12 498.5
1950 11 527·3
1950 10 457.4
1950 09 298.4
1950 08 777.3
1950 07 168·8
1950 06 229.2
1950 05 549·1
1950 04 07.7
1950 03 569.1
1950 02 2810.3
1950 01 5610·7
1949 12 6711.0
1949 11 559·8
1949 10 7611.0
1949 09 7811.2
1949 08 5510·7
1949 07 199·8
1949 06 49·4
1949 05 918.9
1949 04 648.5
1949 03 797·2
1949 02 747·8
1949 01 887.0
1948 12 186·4
1948 11 936·2
1948 10 755·7
1948 09 885.5
1948 08 696.2
1948 07 417.5
1948 06 196·5
1948 05 365.4
1948 04 926·7
1948 03 316·7
1948 02 456.3
1948 01 14·9
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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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