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 9686·0
2012 03 4386·5
2012 02 4286.3
2012 01 2086.2
2011 12 2986·0
2011 11 2385·8
2011 10 5785.8
2011 09 1886.2
2011 08 7386.2
2011 07 4486·6
2011 06 1786·4
2011 05 5986.8
2011 04 7786.3
2011 03 9086.1
2011 02 3486.0
2011 01 8685.9
2010 12 1686·1
2010 11 6686.8
2010 10 4686.5
2010 09 6987.1
2010 08 9287.0
2010 07 486.7
2010 06 1787·2
2010 05 187.1
2010 04 3087.3
2010 03 6186.7
2010 02 3486·6
2010 01 386·9
2009 12 8086.6
2009 11 1887·4
2009 10 1187·5
2009 09 1787·6
2009 08 1787.9
2009 07 8287·7
2009 06 8487.9
2009 05 1487·6
2009 04 4287.5
2009 03 8587·4
2009 02 1787.4
2009 01 8887.4
2008 12 8087.2
2008 11 8488.0
2008 10 9887·6
2008 09 5787·8
2008 08 8287·8
2008 07 5988.2
2008 06 3987·7
2008 05 6587·8
2008 04 2388.2
2008 03 1888.3
2008 02 7988·5
2008 01 8288·9
2007 12 388·9
2007 11 9288·5
2007 10 8188·0
2007 09 387.8
2007 08 4887·7
2007 07 3987.9
2007 06 3288.1
2007 05 4588·1
2007 04 888.2
2007 03 3888.1
2007 02 4588.4
2007 01 5488.6
2006 12 5988.5
2006 11 9888.2
2006 10 5888·1
2006 09 9888·2
2006 08 088.4
2006 07 5088·1
2006 06 3588·2
2006 05 7188.0
2006 04 5887·8
2006 03 5087·8
2006 02 6287.8
2006 01 9487·6
2005 12 8387.3
2005 11 8087.3
2005 10 5387·5
2005 09 987.7
2005 08 5088.4
2005 07 4787.9
2005 06 4687.7
2005 05 8688.1
2005 04 5987.9
2005 03 8387·9
2005 02 387.4
2005 01 1987.3
2004 12 3687.0
2004 11 4387.2
2004 10 1387.4
2004 09 2787.3
2004 08 3287.5
2004 07 1187·9
2004 06 8887·4
2004 05 5587·4
2004 04 2187·6
2004 03 9187·2
2004 02 6687.7
2004 01 7188.0
2003 12 487·9
2003 11 1687.6
2003 10 1187·7
2003 09 7087.4
2003 08 787·8
2003 07 4387.6
2003 06 987·8
2003 05 7087·9
2003 04 8087·8
2003 03 5487.9
2003 02 7587.8
2003 01 1787.2
2002 12 9788·2
2002 11 5488.0
2002 10 4588.3
2002 09 7888·4
2002 08 6188.5
2002 07 7589.0
2002 06 8388.5
2002 05 4988.5
2002 04 9588·5
2002 03 7588·6
2002 02 7788.8
2002 01 4888·4
2001 12 5188·4
2001 11 3588·3
2001 10 3988.9
2001 09 2088·6
2001 08 488·6
2001 07 6188.9
2001 06 788·7
2001 05 3388·6
2001 04 5488.3
2001 03 8588·3
2001 02 4588.1
2001 01 8288.6
2000 12 2688.2
2000 11 6488·5
2000 10 4088·3
2000 09 8688·7
2000 08 7288·8
2000 07 7988.5
2000 06 588.8
2000 05 8988·5
2000 04 6688.5
2000 03 3788.6
2000 02 7888.9
2000 01 6188.8
1999 12 889.1
1999 11 7088·8
1999 10 2188·7
1999 09 9488·1
1999 08 2588.5
1999 07 3488.2
1999 06 2488·5
1999 05 988.7
1999 04 6689·1
1999 03 1188·9
1999 02 9889·2
1999 01 5089·8
1998 12 888·9
1998 11 789·2
1998 10 8189·0
1998 09 8589·1
1998 08 4989.2
1998 07 5589.1
1998 06 3789.2
1998 05 1089.0
1998 04 1789·3
1998 03 1189·7
1998 02 5489.5
1998 01 4289.3
1997 12 6089.3
1997 11 5689·0
1997 10 4389·2
1997 09 2689.1
1997 08 5589·4
1997 07 9789·8
1997 06 4389.8
1997 05 3289·5
1997 04 289.6
1997 03 6689·8
1997 02 1889·9
1997 01 5489·5
1996 12 2688.9
1996 11 2089·1
1996 10 5489.2
1996 09 989.2
1996 08 7789·6
1996 07 3989.7
1996 06 6589.4
1996 05 4489.2
1996 04 3289·2
1996 03 3188·7
1996 02 8988·7
1996 01 2788.5
1995 12 9088.6
1995 11 2888.4
1995 10 8888·5
1995 09 5188.8
1995 08 7888.7
1995 07 8589.1
1995 06 5188·6
1995 05 3789·1
1995 04 4488·9
1995 03 8589.3
1995 02 8989·1
1995 01 2889·0
1994 12 6588.9
1994 11 3489·3
1994 10 4289·0
1994 09 9388·8
1994 08 4189.1
1994 07 6489.1
1994 06 7388.9
1994 05 2788·8
1994 04 9788·8
1994 03 3289.2
1994 02 6889.5
1994 01 4989.9
1993 12 8489.9
1993 11 1990.3
1993 10 4190·4
1993 09 390·2
1993 08 7790·3
1993 07 3290.2
1993 06 2990.1
1993 05 5789·9
1993 04 7789.8
1993 03 289·4
1993 02 9790·2
1993 01 790·0
1992 12 990·0
1992 11 8690.2
1992 10 3190.6
1992 09 7190.6
1992 08 2390·9
1992 07 6690·9
1992 06 4491·2
1992 05 9491·0
1992 04 9591.4
1992 03 4890.8
1992 02 7590·7
1992 01 4490.5
1991 12 2590·0
1991 11 6590·0
1991 10 8690.0
1991 09 1690.5
1991 08 3990·4
1991 07 7290·8
1991 06 6590.7
1991 05 2890.6
1991 04 8691.3
1991 03 5190·9
1991 02 2490·8
1991 01 2690.2
1990 12 4390.1
1990 11 991.0
1990 10 390·9
1990 09 7890.5
1990 08 1090.9
1990 07 7890.8
1990 06 6490.9
1990 05 7890·5
1990 04 1190.5
1990 03 1490.5
1990 02 9491.2
1990 01 4591·0
1989 12 9991·2
1989 11 9991·4
1989 10 791.5
1989 09 2490·8
1989 08 4791·4
1989 07 3991.1
1989 06 4090.9
1989 05 8490·9
1989 04 5691.2
1989 03 6790.8
1989 02 5790·6
1989 01 1891.1
1988 12 5290·6
1988 11 3890·8
1988 10 4490·2
1988 09 4790.6
1988 08 8590·7
1988 07 3590·7
1988 06 1690.9
1988 05 1491.2
1988 04 3091·4
1988 03 6491.3
1988 02 1091·4
1988 01 8790·8
1987 12 8890·6
1987 11 5690.6
1987 10 8990.7
1987 09 6390·7
1987 08 8490.6
1987 07 6990.6
1987 06 4190·7
1987 05 5991.0
1987 04 6990·9
1987 03 8491·0
1987 02 7890.7
1987 01 1990·6
1986 12 1890·9
1986 11 790.8
1986 10 3990·9
1986 09 1391·1
1986 08 3291·0
1986 07 7191.1
1986 06 8691·1
1986 05 3691·1
1986 04 3590.9
1986 03 3290·9
1986 02 891.0
1986 01 591·0
1985 12 7891.1
1985 11 7191.2
1985 10 1791·2
1985 09 6691.2
1985 08 3791.2
1985 07 9590.9
1985 06 5190·7
1985 05 8790.5
1985 04 1291.1
1985 03 3691·2
1985 02 7391·1
1985 01 6291.0
1984 12 2891.6
1984 11 5191.8
1984 10 7091.2
1984 09 1191·2
1984 08 3691·7
1984 07 2191·2
1984 06 5791.2
1984 05 7890.7
1984 04 1190·9
1984 03 5290·9
1984 02 7190.7
1984 01 3290·7
1983 12 5491·0
1983 11 7790.7
1983 10 7491.4
1983 09 6791.7
1983 08 8991.8
1983 07 5291·5
1983 06 5491.1
1983 05 391.0
1983 04 6891.2
1983 03 5990.9
1983 02 2590·7
1983 01 8290·8
1982 12 6591·2
1982 11 491.5
1982 10 2491·7
1982 09 7591·7
1982 08 8291·2
1982 07 1991.3
1982 06 1491.3
1982 05 7691·4
1982 04 4390.9
1982 03 6091·0
1982 02 8390.8
1982 01 491·1
1981 12 9891.2
1981 11 1091.7
1981 10 4591.3
1981 09 291.1
1981 08 2491.5
1981 07 7491.5
1981 06 3691·5
1981 05 4191.7
1981 04 2191·5
1981 03 8591.4
1981 02 1991·1
1981 01 1391·3
1980 12 1491·1
1980 11 091·3
1980 10 8491·0
1980 09 3991·3
1980 08 5391.3
1980 07 9991·2
1980 06 4191.3
1980 05 6391.2
1980 04 1491.3
1980 03 8991·3
1980 02 3191.2
1980 01 5391.3
1979 12 9791·1
1979 11 390.9
1979 10 1491·2
1979 09 491·4
1979 08 2891.6
1979 07 9691·6
1979 06 8091.5
1979 05 3591.0
1979 04 5691·4
1979 03 5192·0
1979 02 4091.9
1979 01 9091.7
1978 12 5891.5
1978 11 7391.3
1978 10 3491.2
1978 09 3891.3
1978 08 3490·8
1978 07 9591·0
1978 06 2390.8
1978 05 7491·6
1978 04 991·2
1978 03 7491·5
1978 02 9691.4
1978 01 1691·7
1977 12 3491.8
1977 11 9091·7
1977 10 6691.4
1977 09 890.9
1977 08 8390·9
1977 07 5190·7
1977 06 7091.3
1977 05 2191.0
1977 04 5890·9
1977 03 8990·8
1977 02 7290·9
1977 01 4790·9
1976 12 8491·6
1976 11 5991.5
1976 10 5991·8
1976 09 691.8
1976 08 1091·8
1976 07 4391.9
1976 06 4491.7
1976 05 4391.2
1976 04 1391·4
1976 03 4991.2
1976 02 6591·3
1976 01 2691.5
1975 12 9391.9
1975 11 792.3
1975 10 8592.8
1975 09 4992·6
1975 08 7592·9
1975 07 7592·3
1975 06 9292.3
1975 05 3292.4
1975 04 1091.7
1975 03 3491.7
1975 02 9991·3
1975 01 1891.5
1974 12 7391.9
1974 11 9191·9
1974 10 4392.2
1974 09 7891·8
1974 08 6591·9
1974 07 7792.0
1974 06 8892·0
1974 05 492.1
1974 04 1091·8
1974 03 4992·5
1974 02 2293·0
1974 01 1793·0
1973 12 6092.9
1973 11 8892.8
1973 10 5693.1
1973 09 6093·1
1973 08 8992·9
1973 07 293·0
1973 06 3092·8
1973 05 292.8
1973 04 9892·9
1973 03 2193·2
1973 02 692.9
1973 01 3892.8
1972 12 1293.1
1972 11 492.9
1972 10 7293.0
1972 09 8792.9
1972 08 8393.0
1972 07 3093·4
1972 06 4093·5
1972 05 9393.4
1972 04 8493·5
1972 03 793·4
1972 02 5093.3
1972 01 2493.4
1971 12 1793·6
1971 11 6793.4
1971 10 6393·6
1971 09 7693.9
1971 08 794.0
1971 07 6593·8
1971 06 6794·2
1971 05 6794·1
1971 04 594·1
1971 03 8593.9
1971 02 7694.2
1971 01 4294.1
1970 12 8594.2
1970 11 3194.2
1970 10 2894.2
1970 09 6994.1
1970 08 4894.2
1970 07 3794·4
1970 06 8494.3
1970 05 4294·2
1970 04 2094·2
1970 03 5994·4
1970 02 3494·3
1970 01 8294·6
1969 12 5194.4
1969 11 7794·5
1969 10 9094.5
1969 09 3194·3
1969 08 1694.4
1969 07 094·3
1969 06 8994·3
1969 05 6094.6
1969 04 1594.3
1969 03 5894·9
1969 02 9595·0
1969 01 6295.0
1968 12 7595·0
1968 11 994.9
1968 10 9694·8
1968 09 5794.7
1968 08 4694.9
1968 07 3395.1
1968 06 594·9
1968 05 8894·8
1968 04 295·0
1968 03 3894.8
1968 02 5995.1
1968 01 2494.8
1967 12 4494·7
1967 11 5594·8
1967 10 2195.0
1967 09 6195·1
1967 08 9895·0
1967 07 4195.2
1967 06 8095.4
1967 05 1695·2
1967 04 1495.3
1967 03 7795·2
1967 02 4795.3
1967 01 3595.7
1966 12 6895·6
1966 11 7095.5
1966 10 6295.6
1966 09 8695·7
1966 08 5995·4
1966 07 5295.0
1966 06 8695·1
1966 05 6394·9
1966 04 1494.9
1966 03 8095.1
1966 02 995.2
1966 01 8695.5
1965 12 8295·2
1965 11 3495.5
1965 10 4295·4
1965 09 9895·1
1965 08 3995·9
1965 07 2295·5
1965 06 2395·5
1965 05 6995.7
1965 04 8695·7
1965 03 7595·5
1965 02 1695·6
1965 01 9395.6
1964 12 4795·6
1964 11 5095·3
1964 10 895.3
1964 09 9095·6
1964 08 7495·1
1964 07 2995·7
1964 06 1395.4
1964 05 296.2
1964 04 4196.2
1964 03 1796.0
1964 02 6895·9
1964 01 095·9
1963 12 4995·7
1963 11 4895.8
1963 10 3595·6
1963 09 7895.7
1963 08 2395.9
1963 07 7795·9
1963 06 495.7
1963 05 5495·5
1963 04 1495.6
1963 03 8695·7
1963 02 8695·6
1963 01 7395.8
1962 12 9896.0
1962 11 8295·8
1962 10 2195.7
1962 09 495.7
1962 08 7395·8
1962 07 9795.5
1962 06 6995.9
1962 05 4196·0
1962 04 6795·4
1962 03 8695.3
1962 02 2095.1
1962 01 395·1
1961 12 2995.1
1961 11 3295.6
1961 10 8796.2
1961 09 3595.6
1961 08 3495·4
1961 07 4195·5
1961 06 795·6
1961 05 595·8
1961 04 8495·7
1961 03 4695·6
1961 02 4395.3
1961 01 795.5
1960 12 395·6
1960 11 295·7
1960 10 8396.0
1960 09 6296.1
1960 08 4296.0
1960 07 9195·6
1960 06 3995·9
1960 05 1296·1
1960 04 7795.9
1960 03 2095.2
1960 02 5195·6
1960 01 2895.8
1959 12 696.1
1959 11 2095.5
1959 10 8195·9
1959 09 295.9
1959 08 5796·1
1959 07 4996.3
1959 06 1696·1
1959 05 5695.8
1959 04 8096.1
1959 03 8896·1
1959 02 6995.5
1959 01 3196·0
1958 12 4996.3
1958 11 4296.1
1958 10 7996.8
1958 09 9896·5
1958 08 6596·8
1958 07 4596.9
1958 06 896.7
1958 05 5196.2
1958 04 5496·2
1958 03 5396·0
1958 02 4496·0
1958 01 996·2
1957 12 6696·3
1957 11 4796.4
1957 10 196.5
1957 09 1696.4
1957 08 7696.0
1957 07 3496·4
1957 06 1596.5
1957 05 4196·2
1957 04 8596.4
1957 03 4697.1
1957 02 5096·3
1957 01 7996·0
1956 12 1896·2
1956 11 3996·4
1956 10 9496·1
1956 09 4896·1
1956 08 2696·6
1956 07 9596.1
1956 06 5996.4
1956 05 9296.6
1956 04 8496·8
1956 03 2097·0
1956 02 8496·8
1956 01 8196.8
1955 12 9296·7
1955 11 4796.3
1955 10 3295·9
1955 09 1095·6
1955 08 7696·2
1955 07 3296.4
1955 06 8996.5
1955 05 9696.6
1955 04 8596·7
1955 03 5696.7
1955 02 7096.5
1955 01 8496.6
1954 12 9796·5
1954 11 2696.7
1954 10 1297·1
1954 09 4496·8
1954 08 1096.6
1954 07 7496·6
1954 06 7896.6
1954 05 6996·5
1954 04 5096.7
1954 03 5695·9
1954 02 5696·6
1954 01 7995.9
1953 12 6896.3
1953 11 5496·2
1953 10 5896.6
1953 09 1896·4
1953 08 4096.1
1953 07 7596.9
1953 06 2396.2
1953 05 5495.7
1953 04 6496.6
1953 03 5197·3
1953 02 1498.1
1953 01 8396·3
1952 12 6896.4
1952 11 3796.0
1952 10 1896.2
1952 09 2296·3
1952 08 095.9
1952 07 1696.2
1952 06 4896·5
1952 05 1795.9
1952 04 3896·1
1952 03 9496·6
1952 02 4296.0
1952 01 3696·1
1951 12 8096·4
1951 11 396·1
1951 10 6495.8
1951 09 7495·8
1951 08 5396·1
1951 07 095·6
1951 06 095·8
1951 05 5095·8
1951 04 695·9
1951 03 6696·4
1951 02 6595.9
1951 01 896·0
1950 12 1695·8
1950 11 796.1
1950 10 9596.1
1950 09 1695.9
1950 08 8295·7
1950 07 5695·6
1950 06 5496·2
1950 05 7096·0
1950 04 3195.8
1950 03 6995·2
1950 02 2994·8
1950 01 8895.2
1949 12 1195·7
1949 11 2896·3
1949 10 3496·7
1949 09 1496.3
1949 08 9995.5
1949 07 4095·4
1949 06 695.2
1949 05 1895.5
1949 04 9695.0
1949 03 3595·4
1949 02 895·6
1949 01 9495·6
1948 12 2695.5
1948 11 7195.3
1948 10 2895·6
1948 09 6096·1
1948 08 4095.5
1948 07 2996·1
1948 06 8096.0
1948 05 6295·7
1948 04 1396.1
1948 03 1696·0
1948 02 096.1
1948 01 6896.0
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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 |
|