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 2427·2
2012 03 7626·7
2012 02 8427.0
2012 01 2025.3
2011 12 7826·6
2011 11 5626.6
2011 10 5527·3
2011 09 327·8
2011 08 1128·1
2011 07 4727·2
2011 06 3827·4
2011 05 9727·0
2011 04 7328.1
2011 03 3126·4
2011 02 4825.9
2011 01 4727.2
2010 12 4027·8
2010 11 1426.4
2010 10 2229.1
2010 09 2128·9
2010 08 1229.0
2010 07 2729.0
2010 06 2429.4
2010 05 1328·3
2010 04 1529.1
2010 03 2929.8
2010 02 4028·5
2010 01 4430.3
2009 12 9830·6
2009 11 9930.4
2009 10 8430·0
2009 09 5629·5
2009 08 3729.0
2009 07 4528·0
2009 06 9427.0
2009 05 1927·5
2009 04 3326.1
2009 03 9926.1
2009 02 3225.7
2009 01 2824·3
2008 12 1123·0
2008 11 1723.7
2008 10 8723.7
2008 09 021·1
2008 08 2220.2
2008 07 8124·1
2008 06 7221·5
2008 05 8121.0
2008 04 4017.2
2008 03 9717·9
2008 02 2318.7
2008 01 4021·1
2007 12 6619.4
2007 11 9618.9
2007 10 517.4
2007 09 7018·3
2007 08 2617·8
2007 07 3717·1
2007 06 518.7
2007 05 9217.6
2007 04 6917·0
2007 03 016.2
2007 02 3616.5
2007 01 4815·8
2006 12 7216.0
2006 11 9216.1
2006 10 3616.4
2006 09 817·7
2006 08 3517·2
2006 07 4417.5
2006 06 6817.6
2006 05 6716.3
2006 04 8216.7
2006 03 1417·1
2006 02 1916·8
2006 01 4316.1
2005 12 6615.5
2005 11 8218.8
2005 10 316.8
2005 09 8117.1
2005 08 6018.0
2005 07 5618.5
2005 06 5818·8
2005 05 4919·8
2005 04 6520.5
2005 03 6720·1
2005 02 4520.1
2005 01 4218·3
2004 12 720.5
2004 11 7218.2
2004 10 5419.6
2004 09 7918.2
2004 08 3618·1
2004 07 5317.8
2004 06 9718.0
2004 05 418.7
2004 04 2718·7
2004 03 1518·5
2004 02 1216.9
2004 01 8717·7
2003 12 8217·4
2003 11 9118·5
2003 10 6219.0
2003 09 2119·8
2003 08 2417.4
2003 07 3820.5
2003 06 3519·9
2003 05 2519·8
2003 04 519.7
2003 03 3620·4
2003 02 4319·5
2003 01 4419·1
2002 12 018·3
2002 11 9318·4
2002 10 2516.1
2002 09 4718.3
2002 08 1019.8
2002 07 4018·6
2002 06 4318·4
2002 05 2818.2
2002 04 5917·8
2002 03 3518.3
2002 02 8617·2
2002 01 617.6
2001 12 9918·2
2001 11 5718·2
2001 10 6617·7
2001 09 2516.1
2001 08 317·0
2001 07 1515·1
2001 06 2115·5
2001 05 5515·0
2001 04 7414·8
2001 03 4014·0
2001 02 1415.2
2001 01 8915.6
2000 12 3714·4
2000 11 8813.7
2000 10 3313·3
2000 09 4713·8
2000 08 4115·4
2000 07 4214.4
2000 06 9114.1
2000 05 7213·3
2000 04 6213·6
2000 03 712·8
2000 02 2614·6
2000 01 3514.3
1999 12 014·9
1999 11 1514.9
1999 10 014.3
1999 09 2814·7
1999 08 8213.5
1999 07 2414·2
1999 06 114.4
1999 05 7214.0
1999 04 5714·9
1999 03 1415.4
1999 02 4314·2
1999 01 1016.5
1998 12 015·6
1998 11 9216.2
1998 10 6316·9
1998 09 1217·3
1998 08 1315.7
1998 07 9116·4
1998 06 2515·9
1998 05 7116·6
1998 04 2014.2
1998 03 6616·6
1998 02 1516.5
1998 01 815·8
1997 12 7213·6
1997 11 9915.4
1997 10 4716·3
1997 09 6516.9
1997 08 4417·7
1997 07 9717.8
1997 06 5918.8
1997 05 1215·9
1997 04 3717.6
1997 03 9217·9
1997 02 1417·5
1997 01 4317·9
1996 12 7517.5
1996 11 4018·5
1996 10 018·2
1996 09 7817.1
1996 08 1118·1
1996 07 2319·7
1996 06 2817.4
1996 05 6018.0
1996 04 1818·2
1996 03 4718.6
1996 02 3917·8
1996 01 5918·6
1995 12 9719.0
1995 11 4418·6
1995 10 9319.1
1995 09 6818·5
1995 08 7418·9
1995 07 7118·7
1995 06 8018·3
1995 05 818·8
1995 04 9918·1
1995 03 916·7
1995 02 1219.2
1995 01 2217·3
1994 12 4718.5
1994 11 6516.2
1994 10 2617.9
1994 09 7819·0
1994 08 1918.2
1994 07 7119·3
1994 06 8718.8
1994 05 7220.1
1994 04 4020.4
1994 03 8319.3
1994 02 8119.5
1994 01 2320·6
1993 12 6019·4
1993 11 8320.0
1993 10 2220.2
1993 09 7419·5
1993 08 5619·9
1993 07 7820·2
1993 06 4721·5
1993 05 9520·5
1993 04 2721·2
1993 03 9920.8
1993 02 2020·8
1993 01 8021·0
1992 12 9821.0
1992 11 221·4
1992 10 2819·5
1992 09 4822.5
1992 08 2121.8
1992 07 7021.7
1992 06 8424·2
1992 05 4321.4
1992 04 7019.3
1992 03 1022·4
1992 02 2722·3
1992 01 3420.7
1991 12 4621·3
1991 11 5220.6
1991 10 1820·0
1991 09 1620·1
1991 08 7519·4
1991 07 5320.3
1991 06 4619.9
1991 05 820·6
1991 04 618.6
1991 03 9619.8
1991 02 2418·4
1991 01 5318.8
1990 12 1518.5
1990 11 8618.2
1990 10 8917·9
1990 09 2117.4
1990 08 217·2
1990 07 5515·9
1990 06 514.3
1990 05 615·3
1990 04 9415.3
1990 03 6114·6
1990 02 5915.5
1990 01 2715.7
1989 12 3916.3
1989 11 8417.0
1989 10 6516·3
1989 09 2915.8
1989 08 1414·8
1989 07 3113.5
1989 06 6015.7
1989 05 8016·1
1989 04 2015·8
1989 03 3414·5
1989 02 716.9
1989 01 7418.8
1988 12 8015.5
1988 11 5014·5
1988 10 9416.7
1988 09 3216·5
1988 08 4715·9
1988 07 6016.4
1988 06 3415.5
1988 05 9615·5
1988 04 9416·1
1988 03 7117·7
1988 02 6415·9
1988 01 3616.6
1987 12 2317.2
1987 11 1417.0
1987 10 4817.2
1987 09 4617·0
1987 08 6017·8
1987 07 4615.9
1987 06 7417·0
1987 05 4619·1
1987 04 5318.9
1987 03 4919·0
1987 02 5418.7
1987 01 7918.6
1986 12 7918·1
1986 11 3018.3
1986 10 2618.1
1986 09 1519.1
1986 08 3919.1
1986 07 1919·3
1986 06 5420·1
1986 05 4719·4
1986 04 5719.7
1986 03 7419·0
1986 02 2519.5
1986 01 9518·3
1985 12 8319.7
1985 11 7619·6
1985 10 5221·7
1985 09 319·0
1985 08 9519.5
1985 07 3321.5
1985 06 7219.0
1985 05 4118.8
1985 04 9018.2
1985 03 7518.5
1985 02 5019.5
1985 01 119.3
1984 12 9619·6
1984 11 5918.9
1984 10 7219·6
1984 09 419·6
1984 08 6318·8
1984 07 6720.5
1984 06 5118·6
1984 05 9419·1
1984 04 6519·8
1984 03 520·3
1984 02 2619·9
1984 01 3920·8
1983 12 320.4
1983 11 620.5
1983 10 6022.2
1983 09 3422.6
1983 08 424.4
1983 07 2523·6
1983 06 3924.0
1983 05 9823.8
1983 04 1624·5
1983 03 4525·3
1983 02 7824·3
1983 01 7524.3
1982 12 1525·6
1982 11 7225.7
1982 10 1425.0
1982 09 3525·0
1982 08 324·8
1982 07 3725.1
1982 06 924.7
1982 05 7123.7
1982 04 424·2
1982 03 9823·3
1982 02 5323·0
1982 01 222.5
1981 12 6822·1
1981 11 3621·7
1981 10 5719·9
1981 09 7319.7
1981 08 7119.5
1981 07 5718·9
1981 06 5920·6
1981 05 5319·7
1981 04 1419·3
1981 03 9419·6
1981 02 2320.3
1981 01 3620·3
1980 12 2118·4
1980 11 319.6
1980 10 3720·0
1980 09 4119·0
1980 08 4419.8
1980 07 6519.9
1980 06 1219.9
1980 05 1219.0
1980 04 5716·3
1980 03 8715·4
1980 02 8816·0
1980 01 1816·2
1979 12 6115·6
1979 11 215.7
1979 10 2715·8
1979 09 5416.3
1979 08 8216.0
1979 07 6415.4
1979 06 1714.7
1979 05 3915.7
1979 04 6916·2
1979 03 5716·3
1979 02 7016.3
1979 01 1716.2
1978 12 9816.6
1978 11 8715.9
1978 10 2616·2
1978 09 5615·7
1978 08 7014.8
1978 07 8515·7
1978 06 4514·3
1978 05 5215·1
1978 04 1016.3
1978 03 816.8
1978 02 1816·7
1978 01 2315.7
1977 12 6815·0
1977 11 3716.4
1977 10 5516·4
1977 09 1317.4
1977 08 2017.6
1977 07 8017.1
1977 06 9618.4
1977 05 9117.4
1977 04 6517.3
1977 03 6818·3
1977 02 318·2
1977 01 5318·0
1976 12 3119.0
1976 11 5819·6
1976 10 6419·4
1976 09 1619·0
1976 08 6618·7
1976 07 3018·5
1976 06 9218.4
1976 05 2519.5
1976 04 4620·2
1976 03 9318.9
1976 02 2518.9
1976 01 4920.2
1975 12 7219.4
1975 11 7718.9
1975 10 2519·7
1975 09 8219·4
1975 08 6920·9
1975 07 3921·3
1975 06 8222·1
1975 05 4420.1
1975 04 8720.7
1975 03 6119.8
1975 02 619.7
1975 01 7819·6
1974 12 318.0
1974 11 5017·5
1974 10 3716·6
1974 09 5417.1
1974 08 1514·8
1974 07 3715.5
1974 06 3715.8
1974 05 6514.7
1974 04 5014·3
1974 03 7814.3
1974 02 9514·4
1974 01 3213·9
1973 12 5814.1
1973 11 5614.5
1973 10 2214·0
1973 09 9714.0
1973 08 1413·7
1973 07 7613.6
1973 06 5813.2
1973 05 3114·5
1973 04 2014.7
1973 03 7213·5
1973 02 6414·1
1973 01 2713·2
1972 12 9915.4
1972 11 9815.5
1972 10 2915·0
1972 09 515·7
1972 08 315·8
1972 07 3814.0
1972 06 6514·7
1972 05 815.7
1972 04 616·1
1972 03 9717.5
1972 02 1119·0
1972 01 616·9
1971 12 1016·9
1971 11 716·2
1971 10 3016.9
1971 09 9316.1
1971 08 4016.8
1971 07 2517·0
1971 06 817·8
1971 05 8716·6
1971 04 4615·9
1971 03 3316.5
1971 02 6016·0
1971 01 3416·8
1970 12 416·6
1970 11 3616·2
1970 10 2316·6
1970 09 316.1
1970 08 1315.5
1970 07 6815·1
1970 06 6017·0
1970 05 8714.4
1970 04 9914.4
1970 03 8412·6
1970 02 5912·9
1970 01 512.1
1969 12 1411.0
1969 11 6611.3
1969 10 3311·4
1969 09 211.8
1969 08 3111.1
1969 07 2012.5
1969 06 1911·2
1969 05 4710.9
1969 04 5210·9
1969 03 7911·5
1969 02 8010·9
1969 01 3411.4
1968 12 111·6
1968 11 9911·1
1968 10 510.8
1968 09 8210·8
1968 08 3010.9
1968 07 6212·2
1968 06 713.0
1968 05 3610.9
1968 04 1310.6
1968 03 7412·0
1968 02 2212.0
1968 01 6411·7
1967 12 5212.1
1967 11 6613.4
1967 10 1513·1
1967 09 6012.2
1967 08 7112·7
1967 07 9612.2
1967 06 7312.6
1967 05 4512·9
1967 04 2012·3
1967 03 4611·1
1967 02 812.1
1967 01 6111·2
1966 12 7612.0
1966 11 2111·0
1966 10 5911.8
1966 09 7811·9
1966 08 3811·0
1966 07 5411.5
1966 06 8911·8
1966 05 9012·5
1966 04 3311.5
1966 03 012·2
1966 02 8611.6
1966 01 1712·1
1965 12 912.7
1965 11 4311·9
1965 10 6114.7
1965 09 213.3
1965 08 4414.1
1965 07 8814.5
1965 06 5514·9
1965 05 1414·3
1965 04 3615·0
1965 03 6614.1
1965 02 2814·9
1965 01 4915·2
1964 12 1315·2
1964 11 3616·1
1964 10 6914·0
1964 09 2415.1
1964 08 2316·6
1964 07 7814.4
1964 06 9216·4
1964 05 8415·7
1964 04 4217·4
1964 03 9916·8
1964 02 3315·8
1964 01 9816.8
1963 12 7116·1
1963 11 3017·4
1963 10 5616.4
1963 09 6117·1
1963 08 3516.7
1963 07 2818·0
1963 06 4916.8
1963 05 9119·1
1963 04 8517·9
1963 03 7617.4
1963 02 2418.3
1963 01 3215.5
1962 12 9513·4
1962 11 7916.8
1962 10 2014·3
1962 09 5415.0
1962 08 6714.2
1962 07 6913.5
1962 06 9914.6
1962 05 5114·4
1962 04 2514·1
1962 03 314·8
1962 02 4916.0
1962 01 4216·0
1961 12 2117·2
1961 11 6216·3
1961 10 8417.3
1961 09 7217.4
1961 08 2916·6
1961 07 5316·9
1961 06 4016·8
1961 05 816·2
1961 04 4918.2
1961 03 817·6
1961 02 8118.1
1961 01 4617·5
1960 12 816·2
1960 11 8315·4
1960 10 9616·8
1960 09 414·5
1960 08 5616.4
1960 07 6115.4
1960 06 9515.8
1960 05 2714·6
1960 04 6714·5
1960 03 4716.6
1960 02 1912.4
1960 01 8414.6
1959 12 4316.3
1959 11 7315.4
1959 10 2816.8
1959 09 6916·0
1959 08 917.3
1959 07 9615.6
1959 06 1314·0
1959 05 014.5
1959 04 1414.7
1959 03 9814·1
1959 02 8414.9
1959 01 2415·9
1958 12 3616·6
1958 11 8517.3
1958 10 8017·2
1958 09 719.6
1958 08 7317·5
1958 07 8818.2
1958 06 6516·1
1958 05 4518.2
1958 04 5218·1
1958 03 6517·1
1958 02 2516.1
1958 01 5715.0
1957 12 2213.5
1957 11 9815·9
1957 10 7512.3
1957 09 8612.4
1957 08 6011·7
1957 07 9212·2
1957 06 5012.2
1957 05 311·5
1957 04 6512·1
1957 03 7912.4
1957 02 1610·4
1957 01 013·1
1956 12 6310.5
1956 11 1613.9
1956 10 5910·0
1956 09 989.5
1956 08 410.4
1956 07 8611·2
1956 06 9211·8
1956 05 4011·9
1956 04 6411·1
1956 03 939·8
1956 02 5411·3
1956 01 9610·5
1955 12 4311.0
1955 11 7011·5
1955 10 712.0
1955 09 5911·6
1955 08 6612·1
1955 07 7411.4
1955 06 3811.4
1955 05 4911·3
1955 04 8511·1
1955 03 8611·2
1955 02 6211·9
1955 01 1012·8
1954 12 7313·7
1954 11 1413·2
1954 10 1512.0
1954 09 1115·5
1954 08 3215·6
1954 07 8714.0
1954 06 6210.4
1954 05 4614.8
1954 04 8714·6
1954 03 6414.4
1954 02 8914.3
1954 01 3511·6
1953 12 8911·5
1953 11 259·3
1953 10 910.2
1953 09 218·0
1953 08 138·1
1953 07 787.8
1953 06 607.4
1953 05 746.8
1953 04 586.8
1953 03 547·3
1953 02 66·4
1953 01 876·5
1952 12 518·5
1952 11 108.7
1952 10 347.6
1952 09 819.5
1952 08 438.1
1952 07 278.9
1952 06 588·7
1952 05 988·8
1952 04 78·9
1952 03 129.0
1952 02 149·4
1952 01 99·6
1951 12 457·5
1951 11 979·8
1951 10 668·0
1951 09 77.9
1951 08 837.9
1951 07 389·0
1951 06 18·3
1951 05 116·8
1951 04 707.9
1951 03 177.6
1951 02 348.0
1951 01 678.6
1950 12 829.6
1950 11 419·1
1950 10 010.5
1950 09 4111·1
1950 08 1910.8
1950 07 4010.9
1950 06 6412·9
1950 05 3014·6
1950 04 714.1
1950 03 7314·4
1950 02 1416·4
1950 01 5217.1
1949 12 9615·9
1949 11 2015.3
1949 10 6117.3
1949 09 5114·8
1949 08 6216.8
1949 07 8814.8
1949 06 4514·7
1949 05 9614·7
1949 04 414.1
1949 03 913.5
1949 02 2810·6
1949 01 8210.2
1948 12 499·1
1948 11 409·7
1948 10 979.4
1948 09 279·6
1948 08 4710.4
1948 07 6110·2
1948 06 669.3
1948 05 767.6
1948 04 729.8
1948 03 8011.9
1948 02 7310·8
1948 01 989·4
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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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