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 9026.4
2012 03 1428.8
2012 02 8929·9
2012 01 1128.8
2011 12 127·8
2011 11 8223.3
2011 10 7825.2
2011 09 4526·3
2011 08 1628·7
2011 07 8628·2
2011 06 627·9
2011 05 1428·9
2011 04 8530·7
2011 03 728.7
2011 02 8528·8
2011 01 6427·8
2010 12 8427.3
2010 11 5325·8
2010 10 5431·4
2010 09 6430·1
2010 08 1230.7
2010 07 5530·1
2010 06 7429.3
2010 05 729·6
2010 04 9728·7
2010 03 6929.5
2010 02 3428.4
2010 01 1228.1
2009 12 8630.0
2009 11 7729·6
2009 10 4730·1
2009 09 2527.6
2009 08 5726·0
2009 07 8725·6
2009 06 5125·9
2009 05 1423·6
2009 04 1023.2
2009 03 2823.7
2009 02 923·5
2009 01 7221·8
2008 12 7023.7
2008 11 5924.0
2008 10 822.6
2008 09 2120·6
2008 08 8721.6
2008 07 6024·7
2008 06 6223·9
2008 05 221.8
2008 04 3620.6
2008 03 3918.9
2008 02 818.9
2008 01 8621.0
2007 12 1919.5
2007 11 2718.8
2007 10 916·9
2007 09 6718.3
2007 08 6018.4
2007 07 8116·7
2007 06 5316·9
2007 05 6317·0
2007 04 1117·2
2007 03 8116.6
2007 02 5317·1
2007 01 2016.6
2006 12 4516.3
2006 11 3616·7
2006 10 4717·3
2006 09 617.5
2006 08 6419·2
2006 07 7617·2
2006 06 9817·3
2006 05 1515.3
2006 04 9416·3
2006 03 5918.8
2006 02 9317.8
2006 01 6616·4
2005 12 8417.4
2005 11 6520·8
2005 10 4618.2
2005 09 418.3
2005 08 918.3
2005 07 218.7
2005 06 9518·0
2005 05 9820.2
2005 04 7120.6
2005 03 119.3
2005 02 220·3
2005 01 4119·5
2004 12 9520·8
2004 11 1920.6
2004 10 5520.1
2004 09 5419·3
2004 08 3120·7
2004 07 3720.3
2004 06 6720·8
2004 05 8021·3
2004 04 5421·1
2004 03 6219.8
2004 02 7617.8
2004 01 8718.9
2003 12 6518·5
2003 11 2617·0
2003 10 4519.8
2003 09 7219·3
2003 08 8918·6
2003 07 8620.1
2003 06 6220.9
2003 05 5218·2
2003 04 7619·3
2003 03 2217·3
2003 02 3919·0
2003 01 7118.9
2002 12 317·8
2002 11 4219·6
2002 10 1515.5
2002 09 9919.3
2002 08 6919.2
2002 07 7718.9
2002 06 5319.1
2002 05 3120·3
2002 04 019.9
2002 03 8418.6
2002 02 4017·7
2002 01 8418·8
2001 12 4619·4
2001 11 4517.5
2001 10 8917·5
2001 09 416·2
2001 08 8318.1
2001 07 6617·6
2001 06 3816·2
2001 05 5815·4
2001 04 1016.8
2001 03 7816.2
2001 02 5017.5
2001 01 4317.7
2000 12 5415.5
2000 11 4015.6
2000 10 1415.3
2000 09 7615.8
2000 08 6516.5
2000 07 3115.9
2000 06 4014·4
2000 05 215·9
2000 04 1814.8
2000 03 5915.3
2000 02 6915.5
2000 01 9014·4
1999 12 1315.9
1999 11 5516.3
1999 10 6216.4
1999 09 3416.1
1999 08 7615.6
1999 07 7715·5
1999 06 816·8
1999 05 5316·0
1999 04 5816·7
1999 03 516.6
1999 02 1915·2
1999 01 9218.3
1998 12 3316·3
1998 11 4617.6
1998 10 3318·9
1998 09 1917.8
1998 08 217·1
1998 07 3216·6
1998 06 1417·9
1998 05 2916·4
1998 04 9115.4
1998 03 2016·8
1998 02 4818.2
1998 01 4016.9
1997 12 4917.5
1997 11 9217·4
1997 10 5017.2
1997 09 9819.2
1997 08 5317.9
1997 07 5318.7
1997 06 5617·3
1997 05 7018·8
1997 04 218·6
1997 03 3519.1
1997 02 3019·3
1997 01 5217·4
1996 12 2319.2
1996 11 9616·8
1996 10 6018·0
1996 09 6217.4
1996 08 6519.1
1996 07 1620.3
1996 06 5818.9
1996 05 4519·7
1996 04 319.0
1996 03 319·1
1996 02 6219·7
1996 01 6920.0
1995 12 3920·4
1995 11 8820.4
1995 10 3620·5
1995 09 2920·3
1995 08 9820·7
1995 07 2821·2
1995 06 6618.9
1995 05 4420·9
1995 04 2920.4
1995 03 419.6
1995 02 6720·0
1995 01 5819.4
1994 12 918·3
1994 11 2318·0
1994 10 7618·3
1994 09 4019·7
1994 08 3719.6
1994 07 1720.2
1994 06 5620.4
1994 05 8420·0
1994 04 4023.4
1994 03 4219·6
1994 02 9421·2
1994 01 1020.9
1993 12 6720·0
1993 11 8021·0
1993 10 421.4
1993 09 6219.5
1993 08 9519·8
1993 07 3820·0
1993 06 2423·6
1993 05 821·0
1993 04 2222.0
1993 03 4623·7
1993 02 1622.1
1993 01 4423.8
1992 12 7523·2
1992 11 6324.2
1992 10 6822·1
1992 09 8724·3
1992 08 521.8
1992 07 6923·4
1992 06 9326.3
1992 05 8223.5
1992 04 8521·9
1992 03 7122·7
1992 02 2923·0
1992 01 9921·8
1991 12 1824·3
1991 11 121.2
1991 10 4021·7
1991 09 3121.0
1991 08 2822.1
1991 07 1522.4
1991 06 1220·2
1991 05 9819.7
1991 04 6620.6
1991 03 9620.5
1991 02 5918.7
1991 01 4420.6
1990 12 720.0
1990 11 4919.4
1990 10 1918.8
1990 09 3718·6
1990 08 5118·5
1990 07 616.4
1990 06 5416·8
1990 05 7318·7
1990 04 2417·1
1990 03 2516·7
1990 02 5218.4
1990 01 6916.0
1989 12 7618.1
1989 11 8517·6
1989 10 2716·7
1989 09 7117·2
1989 08 8317·1
1989 07 9617.4
1989 06 1617.7
1989 05 4816·1
1989 04 4515·8
1989 03 8715.8
1989 02 8218·2
1989 01 9318·2
1988 12 8716·5
1988 11 1515.6
1988 10 1317.2
1988 09 2519.9
1988 08 6017.5
1988 07 6317.3
1988 06 2216·1
1988 05 9016.8
1988 04 3918·3
1988 03 3718·1
1988 02 4717.4
1988 01 5618.3
1987 12 2517.5
1987 11 6819.3
1987 10 5020.3
1987 09 1617·8
1987 08 4317·6
1987 07 1317.5
1987 06 2019.3
1987 05 9121·5
1987 04 4319.2
1987 03 5420·2
1987 02 6919.8
1987 01 2519.7
1986 12 119.0
1986 11 9720.5
1986 10 3618·9
1986 09 8620·5
1986 08 1719·8
1986 07 7520.1
1986 06 8220.8
1986 05 6820.7
1986 04 1620·7
1986 03 4319·9
1986 02 9721.2
1986 01 9220·6
1985 12 5021.4
1985 11 8320.8
1985 10 9322·7
1985 09 120·3
1985 08 9319.3
1985 07 222.2
1985 06 821.6
1985 05 6320.9
1985 04 4520.5
1985 03 3221.0
1985 02 519.9
1985 01 7421·0
1984 12 3320·9
1984 11 2919·7
1984 10 7119.7
1984 09 5321.3
1984 08 621.7
1984 07 7520.7
1984 06 1920·6
1984 05 4320·4
1984 04 4021.9
1984 03 7622.8
1984 02 8922·3
1984 01 1322.2
1983 12 3522·5
1983 11 6421.9
1983 10 4123·7
1983 09 5923.9
1983 08 1724.8
1983 07 9725·1
1983 06 6526.4
1983 05 9825.9
1983 04 3525.6
1983 03 5425.1
1983 02 7324.2
1983 01 7624.7
1982 12 6727·1
1982 11 4426·6
1982 10 325.6
1982 09 6126.3
1982 08 1125.5
1982 07 9725.7
1982 06 1724.3
1982 05 4724.9
1982 04 9324·0
1982 03 7123.2
1982 02 523.4
1982 01 5422.7
1981 12 6421.5
1981 11 4722.7
1981 10 7821.5
1981 09 2521·0
1981 08 9920·5
1981 07 3119·7
1981 06 7522.9
1981 05 3020.9
1981 04 9821.2
1981 03 5621.9
1981 02 5821.6
1981 01 6321·4
1980 12 8719·7
1980 11 7821.2
1980 10 1620·9
1980 09 4420·1
1980 08 1722.1
1980 07 7821.0
1980 06 6020.0
1980 05 1520·7
1980 04 6118.5
1980 03 6318·1
1980 02 3018·9
1980 01 4719·2
1979 12 2218.3
1979 11 6517.0
1979 10 8818.5
1979 09 3417.3
1979 08 2418.1
1979 07 4117.4
1979 06 2217.8
1979 05 9418.2
1979 04 1818·7
1979 03 7118·9
1979 02 4518·6
1979 01 7218·6
1978 12 7919·9
1978 11 6419·0
1978 10 9419.2
1978 09 3719.5
1978 08 818·6
1978 07 5020·2
1978 06 3318·0
1978 05 8318.6
1978 04 2919.4
1978 03 8519.9
1978 02 4920.7
1978 01 2918·8
1977 12 9417.6
1977 11 5319·2
1977 10 5619·0
1977 09 1920·0
1977 08 7719·8
1977 07 5919.7
1977 06 9122.2
1977 05 2320·2
1977 04 7919·3
1977 03 3521.4
1977 02 1720.0
1977 01 3521.2
1976 12 2620·7
1976 11 3721·7
1976 10 2321·4
1976 09 7420.7
1976 08 6821.6
1976 07 4820·6
1976 06 2021.9
1976 05 8321.7
1976 04 8021.0
1976 03 7319.6
1976 02 4721.4
1976 01 3221·0
1975 12 6320.9
1975 11 4520.3
1975 10 6622.0
1975 09 1622.1
1975 08 4122.2
1975 07 2021·4
1975 06 6721.5
1975 05 5321·5
1975 04 6621·3
1975 03 8021.4
1975 02 6021.1
1975 01 8821.0
1974 12 1321.1
1974 11 3220.0
1974 10 8518.9
1974 09 8918·8
1974 08 8216·6
1974 07 618·8
1974 06 518.8
1974 05 5117.6
1974 04 9916.5
1974 03 6017·9
1974 02 617·6
1974 01 9318.0
1973 12 1417.0
1973 11 7617·7
1973 10 317·0
1973 09 5917·8
1973 08 216·2
1973 07 6016.4
1973 06 3217.5
1973 05 1817·6
1973 04 6319.1
1973 03 4317.1
1973 02 5817·8
1973 01 6416·7
1972 12 2417·8
1972 11 8218.4
1972 10 6718.1
1972 09 1719.8
1972 08 3520.0
1972 07 6017·5
1972 06 7217.1
1972 05 2116·6
1972 04 7018·8
1972 03 8220.0
1972 02 1320.0
1972 01 4418·1
1971 12 3118·9
1971 11 8018·4
1971 10 5019.4
1971 09 8118.3
1971 08 4219·3
1971 07 1120.1
1971 06 7319·7
1971 05 5118·4
1971 04 5517·9
1971 03 5618·2
1971 02 9416·9
1971 01 9918.9
1970 12 4419·4
1970 11 2318.6
1970 10 5118·5
1970 09 9318.7
1970 08 1017.0
1970 07 4215·9
1970 06 717·4
1970 05 2716.0
1970 04 7817·0
1970 03 7115.7
1970 02 5015·5
1970 01 2116·1
1969 12 9914.0
1969 11 9114·5
1969 10 9315·3
1969 09 1815.3
1969 08 4815.5
1969 07 815.1
1969 06 7314·3
1969 05 8814·3
1969 04 2513.6
1969 03 5514.0
1969 02 5413·1
1969 01 2613·8
1968 12 5615.0
1968 11 8814.0
1968 10 2313.4
1968 09 4913.2
1968 08 9213·4
1968 07 8815·8
1968 06 9415.9
1968 05 315.1
1968 04 713.3
1968 03 6315.1
1968 02 315.3
1968 01 5714.4
1967 12 214.9
1967 11 4415.6
1967 10 1515·0
1967 09 414·1
1967 08 215·0
1967 07 8714.5
1967 06 1714.6
1967 05 6314.5
1967 04 5913.9
1967 03 7413·5
1967 02 2215.6
1967 01 8014.2
1966 12 4613.8
1966 11 1213.3
1966 10 6714.4
1966 09 2214.7
1966 08 6514.3
1966 07 3314·8
1966 06 1615.0
1966 05 8516.3
1966 04 4115.4
1966 03 9216.1
1966 02 5714·5
1966 01 8715·1
1965 12 2415·9
1965 11 7315.8
1965 10 215·7
1965 09 7216·8
1965 08 9016.0
1965 07 8016.5
1965 06 8916.3
1965 05 1015·9
1965 04 4017.7
1965 03 4716.9
1965 02 8118·8
1965 01 9519·6
1964 12 9718·8
1964 11 2916.2
1964 10 6717.0
1964 09 4616.4
1964 08 1418.3
1964 07 915·8
1964 06 5818·5
1964 05 617.8
1964 04 6519.5
1964 03 9318·1
1964 02 9417·6
1964 01 4618.9
1963 12 5119.1
1963 11 1219·6
1963 10 3619·2
1963 09 5919·0
1963 08 9617.7
1963 07 2320·1
1963 06 7319·8
1963 05 6420·7
1963 04 5319.6
1963 03 919·7
1963 02 1721·1
1963 01 616.2
1962 12 9516.1
1962 11 7517·5
1962 10 715.2
1962 09 5414.4
1962 08 2315·3
1962 07 5215·2
1962 06 617.0
1962 05 116.4
1962 04 6316.0
1962 03 9916.9
1962 02 018·1
1962 01 6717·2
1961 12 6517·5
1961 11 9619.0
1961 10 418.6
1961 09 9719.7
1961 08 518.7
1961 07 5019·0
1961 06 5417·8
1961 05 5916.6
1961 04 8217.5
1961 03 9317.8
1961 02 1518·3
1961 01 4719.3
1960 12 2316.5
1960 11 8214.2
1960 10 7316·4
1960 09 8116.5
1960 08 7716.4
1960 07 9713.5
1960 06 4216.1
1960 05 415·9
1960 04 2015.2
1960 03 4615.7
1960 02 5913·7
1960 01 8616·3
1959 12 5215.5
1959 11 6015·2
1959 10 8816.2
1959 09 2115·5
1959 08 016.9
1959 07 9615·4
1959 06 1614.5
1959 05 2914·9
1959 04 1216.4
1959 03 3515·3
1959 02 5713·4
1959 01 5213·7
1958 12 6516.2
1958 11 8515.6
1958 10 4717·1
1958 09 6117·8
1958 08 5915·6
1958 07 7718·1
1958 06 5116.3
1958 05 4917.3
1958 04 1918.6
1958 03 6715·2
1958 02 5615.3
1958 01 3613.2
1957 12 9613.7
1957 11 3714.7
1957 10 7411.9
1957 09 6612·1
1957 08 6612.7
1957 07 9412·7
1957 06 4412.5
1957 05 810.9
1957 04 2711·3
1957 03 6912·9
1957 02 2911·5
1957 01 5612·7
1956 12 79·3
1956 11 1913·5
1956 10 1611.7
1956 09 2911.2
1956 08 5510.5
1956 07 2611.1
1956 06 1815.2
1956 05 7214·0
1956 04 4611·7
1956 03 9711·3
1956 02 7412.5
1956 01 5311·8
1955 12 8213.2
1955 11 6212·0
1955 10 4612.0
1955 09 6611·9
1955 08 8714.5
1955 07 7913.0
1955 06 2212·9
1955 05 3211·4
1955 04 1210·9
1955 03 2910·9
1955 02 1511·4
1955 01 9312·3
1954 12 3214·0
1954 11 1911.6
1954 10 6213.7
1954 09 2015·9
1954 08 4814·9
1954 07 8013.0
1954 06 2811·5
1954 05 512.8
1954 04 8514.3
1954 03 7014.5
1954 02 9815.7
1954 01 6911.7
1953 12 9311·9
1953 11 699.7
1953 10 8812·7
1953 09 568.5
1953 08 488·2
1953 07 858·0
1953 06 347·4
1953 05 347.5
1953 04 508·1
1953 03 498.1
1953 02 997·6
1953 01 989.2
1952 12 259·6
1952 11 1810·4
1952 10 7110·2
1952 09 679·7
1952 08 239·4
1952 07 739.7
1952 06 639·6
1952 05 8411·5
1952 04 199·2
1952 03 219·5
1952 02 1410.5
1952 01 2110.5
1951 12 149·1
1951 11 9312·7
1951 10 858.3
1951 09 698.7
1951 08 3310·6
1951 07 4710·4
1951 06 649·6
1951 05 497·6
1951 04 279·4
1951 03 6410.0
1951 02 668.7
1951 01 49·8
1950 12 7114·2
1950 11 5111.0
1950 10 2711·6
1950 09 512.6
1950 08 6511·4
1950 07 3812·7
1950 06 1013·6
1950 05 4415.5
1950 04 3413·9
1950 03 8415·2
1950 02 415.4
1950 01 4117·4
1949 12 3016·2
1949 11 6913.9
1949 10 2017·4
1949 09 4013.6
1949 08 2715·8
1949 07 014.3
1949 06 9814.5
1949 05 1113·6
1949 04 2613·8
1949 03 913·1
1949 02 012.5
1949 01 479.6
1948 12 537.4
1948 11 528.5
1948 10 148.1
1948 09 689.1
1948 08 579·0
1948 07 1110.3
1948 06 5211.9
1948 05 176·5
1948 04 1411·2
1948 03 9313.0
1948 02 5313·1
1948 01 659·4
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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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