Link to Series in Level 1 Subscription Site
Link to Series in Level 2 Subscription Site
Link to Series in Level 0 Subscription Site
Go to end of data set
1948 01 6059.7
1948 02 2762.5
1948 03 7660·6
1948 04 3560.2
1948 05 5757.8
1948 06 9560.5
1948 07 556.5
1948 08 7355.5
1948 09 6556.6
1948 10 655.4
1948 11 7854·9
1948 12 5256.7
1949 01 3355·7
1949 02 4059.4
1949 03 1056·8
1949 04 1855·1
1949 05 3755·1
1949 06 553.4
1949 07 3652.9
1949 08 4054·3
1949 09 7754·5
1949 10 3254.7
1949 11 2155·8
1949 12 1254.5
1950 01 7854.1
1950 02 7854.7
1950 03 5254·5
1950 04 5254·7
1950 05 9256·4
1950 06 2554.7
1950 07 4355·8
1950 08 656·6
1950 09 9356.9
1950 10 7857·5
1950 11 3057.1
1950 12 4256.1
1951 01 8255·9
1951 02 7056.5
1951 03 7759.9
1951 04 5458·2
1951 05 8558.5
1951 06 5857·0
1951 07 7259.0
1951 08 6258·8
1951 09 5058.3
1951 10 2258.6
1951 11 2858.1
1951 12 1059·4
1952 01 5558·5
1952 02 7057·8
1952 03 8257.3
1952 04 6657·1
1952 05 057·3
1952 06 3358.3
1952 07 9756·5
1952 08 2654.0
1952 09 954.7
1952 10 6955·3
1952 11 6256·7
1952 12 757.6
1953 01 3359.5
1953 02 5760.7
1953 03 9057·9
1953 04 5557·8
1953 05 4855·8
1953 06 657·2
1953 07 1756.2
1953 08 3856·3
1953 09 5357.2
1953 10 4755.6
1953 11 754.8
1953 12 5153.6
1954 01 7554·7
1954 02 3654·5
1954 03 4955·7
1954 04 1253.0
1954 05 6451.9
1954 06 5652·1
1954 07 5451.5
1954 08 6652·2
1954 09 9553·1
1954 10 1251·6
1954 11 6051·9
1954 12 8251·6
1955 01 6852·1
1955 02 3651·8
1955 03 3251·8
1955 04 5453.0
1955 05 1053.1
1955 06 8652.3
1955 07 5655·0
1955 08 254·8
1955 09 6955·8
1955 10 4257·3
1955 11 4557.7
1955 12 6859·2
1956 01 2257·8
1956 02 1256.9
1956 03 3754.5
1956 04 2452·8
1956 05 7054.9
1956 06 2655.2
1956 07 9654·9
1956 08 6155.0
1956 09 3754·0
1956 10 4254.1
1956 11 854·0
1956 12 155·3
1957 01 7354.3
1957 02 4154·3
1957 03 8854.3
1957 04 8753.5
1957 05 5552·8
1957 06 3153.9
1957 07 7254.3
1957 08 8753.7
1957 09 8354·0
1957 10 4154.3
1957 11 2453.0
1957 12 9753·4
1958 01 8150.2
1958 02 3050.6
1958 03 3251.1
1958 04 3550.3
1958 05 151.1
1958 06 7949.5
1958 07 848.6
1958 08 4649·7
1958 09 1849·8
1958 10 9450.1
1958 11 9150·2
1958 12 9951·1
1959 01 3252.0
1959 02 752.1
1959 03 4352.4
1959 04 8751·4
1959 05 6950·1
1959 06 7549.7
1959 07 5149.1
1959 08 3050.0
1959 09 7850·9
1959 10 7950.0
1959 11 3050.5
1959 12 7250·2
1960 01 3651·4
1960 02 2651.9
1960 03 1751·0
1960 04 8252.7
1960 05 4352.8
1960 06 4853.4
1960 07 7551·5
1960 08 5550.2
1960 09 2450·5
1960 10 149·8
1960 11 9249.6
1960 12 949·2
1961 01 2949·0
1961 02 6747·8
1961 03 8047.8
1961 04 8848.4
1961 05 3448·6
1961 06 5349.8
1961 07 7749.3
1961 08 6351·1
1961 09 4047.6
1961 10 9049.2
1961 11 4750·6
1961 12 2649.2
1962 01 7148·8
1962 02 3548·6
1962 03 7850·0
1962 04 9850·4
1962 05 7951·5
1962 06 6953.8
1962 07 8151·4
1962 08 2152·5
1962 09 3849·0
1962 10 9949.0
1962 11 9647·3
1962 12 6649.6
1963 01 4848·4
1963 02 5748·5
1963 03 8449.2
1963 04 2749·9
1963 05 3749.5
1963 06 049·5
1963 07 3548.5
1963 08 2149.9
1963 09 5250.8
1963 10 850·2
1963 11 6049.2
1963 12 9549·1
1964 01 7148·3
1964 02 8949.7
1964 03 9749·3
1964 04 1747·7
1964 05 9448·2
1964 06 7548.0
1964 07 1149·0
1964 08 8048·3
1964 09 4549·9
1964 10 2149·4
1964 11 8748·5
1964 12 548.8
1965 01 7548·7
1965 02 1047·8
1965 03 4047·9
1965 04 3548·5
1965 05 6049·4
1965 06 4947·1
1965 07 750·0
1965 08 4049·1
1965 09 049.1
1965 10 6850·3
1965 11 5150.8
1965 12 1352.1
1966 01 2051·8
1966 02 2550·5
1966 03 6151.1
1966 04 7450·9
1966 05 7249·8
1966 06 152·0
1966 07 4852.3
1966 08 6652·8
1966 09 2950.3
1966 10 251.5
1966 11 5052·8
1966 12 6052·7
1967 01 9351.3
1967 02 6251.8
1967 03 3251·1
1967 04 4951.5
1967 05 8951.2
1967 06 3552·9
1967 07 8052·7
1967 08 5252·2
1967 09 6751·9
1967 10 450·9
1967 11 750.7
1967 12 1451·4
1968 01 350·9
1968 02 7552·3
1968 03 5252.7
1968 04 352.3
1968 05 9751·9
1968 06 8152·1
1968 07 7751·5
1968 08 1452.4
1968 09 7552.0
1968 10 7752·0
1968 11 7051·7
1968 12 6551·3
1969 01 8651.6
1969 02 4551·6
1969 03 4451.6
1969 04 251·7
1969 05 750·9
1969 06 9254·0
1969 07 3753.4
1969 08 9354·2
1969 09 3854·0
1969 10 5054.1
1969 11 1154·7
1969 12 3254·6
1970 01 453·4
1970 02 7553.1
1970 03 5652.9
1970 04 3851·9
1970 05 5552·4
1970 06 4950.5
1970 07 8350.8
1970 08 5750.0
1970 09 6751·7
1970 10 7950.9
1970 11 3050·5
1970 12 5550.6
1971 01 4050·2
1971 02 9550.3
1971 03 6149·0
1971 04 2950·3
1971 05 050·0
1971 06 5649.8
1971 07 6251·1
1971 08 9651.1
1971 09 9750·0
1971 10 4250·6
1971 11 4850.5
1971 12 251.4
1972 01 651.3
1972 02 5951·6
1972 03 5652·6
1972 04 1552.8
1972 05 2952.9
1972 06 4153.6
1972 07 4953.3
1972 08 2954.4
1972 09 8953.5
1972 10 4354·0
1972 11 1554·4
1972 12 6454.5
1973 01 3854·9
1973 02 4755·1
1973 03 6655·8
1973 04 6455·1
1973 05 5154·4
1973 06 5957.4
1973 07 4154.8
1973 08 9754·6
1973 09 2955·7
1973 10 1256·4
1973 11 256.9
1973 12 5956.8
1974 01 9657·6
1974 02 6256.8
1974 03 3856·8
1974 04 6756.4
1974 05 355.4
1974 06 9055.7
1974 07 6153.8
1974 08 6754·9
1974 09 2655·9
1974 10 354·9
1974 11 954.5
1974 12 2753.9
1975 01 6552.5
1975 02 3452.5
1975 03 4551.9
1975 04 4151.9
1975 05 4552·5
1975 06 3751.2
1975 07 5751·9
1975 08 3051.8
1975 09 1753.2
1975 10 9651·7
1975 11 5851·4
1975 12 3651·8
1976 01 5652·2
1976 02 1753·1
1976 03 8553.0
1976 04 2953.5
1976 05 6354.7
1976 06 3153·4
1976 07 254.0
1976 08 353.3
1976 09 6253.2
1976 10 9554·0
1976 11 9753.5
1976 12 7753·0
1977 01 553·5
1977 02 9054.1
1977 03 8254.6
1977 04 9655.2
1977 05 6755·1
1977 06 2456·0
1977 07 9555.7
1977 08 2857.1
1977 09 4754.9
1977 10 2856.0
1977 11 9956·4
1977 12 6857·0
1978 01 7256.6
1978 02 5956·4
1978 03 8356.1
1978 04 3457·0
1978 05 9257.6
1978 06 9859·0
1978 07 5858.2
1978 08 7259·1
1978 09 8258·2
1978 10 5158.3
1978 11 6358·3
1978 12 5057·8
1979 01 4358.5
1979 02 5157.8
1979 03 6158·2
1979 04 6157.5
1979 05 057.2
1979 06 5557·8
1979 07 3957·8
1979 08 2756·3
1979 09 356·3
1979 10 4356·6
1979 11 1156.8
1979 12 8957.6
1980 01 2857.3
1980 02 2257·2
1980 03 1456.5
1980 04 1856·3
1980 05 7555.5
1980 06 2554·5
1980 07 1255·1
1980 08 954.6
1980 09 7055·5
1980 10 755·3
1980 11 9155·3
1980 12 7955·5
1981 01 6355·0
1981 02 5154·6
1981 03 6654·5
1981 04 7355.3
1981 05 2954·9
1981 06 6352.9
1981 07 7453.2
1981 08 6053.6
1981 09 6952·8
1981 10 7452.7
1981 11 7751·9
1981 12 3450·9
1982 01 850.5
1982 02 4150.3
1982 03 6450·4
1982 04 1550.2
1982 05 9651·6
1982 06 4749·2
1982 07 4849·7
1982 08 4750.8
1982 09 1050.5
1982 10 9750.2
1982 11 6649·9
1982 12 9949·8
1983 01 4949·8
1983 02 2349.5
1983 03 8249·6
1983 04 6449·3
1983 05 3849·6
1983 06 8251.8
1983 07 8351·6
1983 08 6251.9
1983 09 2952.1
1983 10 5651.5
1983 11 8252·2
1983 12 3853·1
1984 01 9653·2
1984 02 5153·2
1984 03 1852·9
1984 04 6053·6
1984 05 4053·1
1984 06 9855.5
1984 07 5254.6
1984 08 2252·7
1984 09 8653·3
1984 10 5553.5
1984 11 7353·6
1984 12 4454.0
1985 01 8554·5
1985 02 353·9
1985 03 9455·2
1985 04 6955·3
1985 05 1255.0
1985 06 4952.7
1985 07 5253.9
1985 08 6852.6
1985 09 6854.7
1985 10 2454.1
1985 11 1154·1
1985 12 3454.3
1986 01 7754·1
1986 02 8554.4
1986 03 5854·9
1986 04 8554.1
1986 05 9154·7
1986 06 1354.0
1986 07 753.7
1986 08 6754·2
1986 09 8453.6
1986 10 1654·8
1986 11 9554·1
1986 12 4953.2
1987 01 5753.9
1987 02 2554·1
1987 03 8554.2
1987 04 2455·1
1987 05 3656·0
1987 06 9654·4
1987 07 6454.5
1987 08 1255·9
1987 09 7054·7
1987 10 1155.0
1987 11 4755·8
1987 12 5655.8
1988 01 3656.5
1988 02 7856·3
1988 03 7154·3
1988 04 2755·2
1988 05 3355·8
1988 06 2658·2
1988 07 9858.2
1988 08 1857.6
1988 09 8757·8
1988 10 1456.1
1988 11 1755·5
1988 12 4856.4
1989 01 4856·2
1989 02 2256.8
1989 03 4056·6
1989 04 6156.7
1989 05 9356·1
1989 06 5857·3
1989 07 558·1
1989 08 2758·6
1989 09 2056.1
1989 10 5355·8
1989 11 7656.2
1989 12 4056·3
1990 01 5655.7
1990 02 6455·7
1990 03 3955.9
1990 04 1955.4
1990 05 5155·0
1990 06 7255·4
1990 07 955.0
1990 08 854.3
1990 09 8053.8
1990 10 8353.9
1990 11 2352·3
1990 12 7553·5
1991 01 4452·6
1991 02 3152.1
1991 03 4352.9
1991 04 1652.5
1991 05 6751·6
1991 06 7050.9
1991 07 5850·8
1991 08 5051.1
1991 09 251·2
1991 10 8450·9
1991 11 8151.4
1991 12 2051·3
1992 01 2252·4
1992 02 7751·6
1992 03 4950.4
1992 04 9650·2
1992 05 2850·9
1992 06 8449·2
1992 07 2550.2
1992 08 7151·3
1992 09 4751·4
1992 10 5852.0
1992 11 9751.3
1992 12 6652·1
1993 01 2751·5
1993 02 8451.6
1993 03 7951.8
1993 04 2351.6
1993 05 4451·3
1993 06 6651.6
1993 07 852.0
1993 08 1352.0
1993 09 052·1
1993 10 3751.6
1993 11 4652.1
1993 12 2951.5
1994 01 1952.8
1994 02 5353·1
1994 03 8352·6
1994 04 9153.3
1994 05 5152·0
1994 06 9753·6
1994 07 3051·9
1994 08 4352·5
1994 09 7251.2
1994 10 7451·6
1994 11 2552·8
1994 12 5353.3
1995 01 8354·9
1995 02 1654.1
1995 03 3255·7
1995 04 1655.0
1995 05 853.7
1995 06 8054.2
1995 07 3954.0
1995 08 5255.3
1995 09 9953·9
1995 10 4853·8
1995 11 5752·6
1995 12 352·9
1996 01 3053·1
1996 02 2653.4
1996 03 2652.0
1996 04 4053·1
1996 05 254·2
1996 06 4553·1
1996 07 853.3
1996 08 5751.5
1996 09 4054·8
1996 10 6353·6
1996 11 9152·6
1996 12 7253.0
1997 01 9653.1
1997 02 6252·9
1997 03 8753.7
1997 04 3053·5
1997 05 4354·2
1997 06 4752.1
1997 07 3553·0
1997 08 053·7
1997 09 8353.2
1997 10 5053.1
1997 11 9854.5
1997 12 7654·8
1998 01 4055·8
1998 02 2955.4
1998 03 6355.0
1998 04 7754·6
1998 05 6654·9
1998 06 6456·2
1998 07 4455·2
1998 08 4855·3
1998 09 3656·5
1998 10 6254.9
1998 11 7855.0
1998 12 5755.2
1999 01 5054·3
1999 02 5555·5
1999 03 2854.7
1999 04 9954.5
1999 05 3356·2
1999 06 054.7
1999 07 8254.6
1999 08 9354.4
1999 09 3654·4
1999 10 7954·5
1999 11 5355·2
1999 12 8255.5
2000 01 3455.7
2000 02 9755.8
2000 03 7854·9
2000 04 3757·4
2000 05 2856·7
2000 06 8656.2
2000 07 2255·3
2000 08 5055.6
2000 09 4355.1
2000 10 456·1
2000 11 7155·7
2000 12 4355.7
2001 01 3056·4
2001 02 3255·5
2001 03 3955.0
2001 04 5754·2
2001 05 6351·2
2001 06 7653.3
2001 07 6253·3
2001 08 6350·2
2001 09 4351.7
2001 10 6851·2
2001 11 651.9
2001 12 5550·5
2002 01 9651·3
2002 02 6451·6
2002 03 5651·4
2002 04 5251.2
2002 05 7251.0
2002 06 4850.9
2002 07 2650·4
2002 08 9849.8
2002 09 4651·0
2002 10 2450·6
2002 11 5550·0
2002 12 6349·1
2003 01 2049·3
2003 02 2449·7
2003 03 447.6
2003 04 3947·8
2003 05 1747.4
2003 06 747·1
2003 07 6246.9
2003 08 4746.7
2003 09 8947·4
2003 10 5248.1
2003 11 4149·0
2003 12 3147·8
2004 01 1048·2
2004 02 6648.4
2004 03 8047.7
2004 04 5949.1
2004 05 8249·1
2004 06 8248.4
2004 07 4247.5
2004 08 2647·7
2004 09 3047.8
2004 10 5548.8
2004 11 1450.6
2004 12 5249.1
2005 01 448.7
2005 02 6847·5
2005 03 847.6
2005 04 7947·8
2005 05 7947·2
2005 06 2847.1
2005 07 6447.5
2005 08 7848.3
2005 09 5749.6
2005 10 6549·3
2005 11 4450·7
2005 12 4250·5
2006 01 6150.2
2006 02 3650.9
2006 03 3650·5
2006 04 9148.7
2006 05 4348·6
2006 06 2347.9
2006 07 5347·3
2006 08 6947·8
2006 09 7948.1
2006 10 3349.5
2006 11 3249.5
2006 12 4449·3
2007 01 6749·1
2007 02 9848·9
2007 03 3647.7
2007 04 1246.0
2007 05 3545·6
2007 06 7346·4
2007 07 5445.8
2007 08 9043·8
2007 09 3247.3
2007 10 4147·2
2007 11 9947·5
2007 12 2446.4
2008 01 3346.6
2008 02 945·3
2008 03 745·7
2008 04 8347.2
2008 05 3946.2
2008 06 745·1
2008 07 4343.5
2008 08 6044.8
2008 09 7645.2
2008 10 9244.7
2008 11 9344.2
2008 12 7543.2
2009 01 9442·6
2009 02 4740·9
2009 03 7240.2
2009 04 7140·7
2009 05 6739·9
2009 06 7839.8
2009 07 1638·5
2009 08 1937.7
2009 09 9838·5
2009 10 1638.0
2009 11 8938.2
2009 12 1237.5
2010 01 1036·3
2010 02 1837.4
2010 03 7837·5
2010 04 6937·4
2010 05 5537.2
2010 06 6635·9
2010 07 9736.2
2010 08 3437·8
2010 09 737.6
2010 10 6638.0
2010 11 8338·4
2010 12 7736.9
2011 01 6836·9
2011 02 5137.6
2011 03 9937.2
2011 04 9236·9
2011 05 6236.1
2011 06 7635·9
2011 07 3435.5
2011 08 9736·3
2011 09 4037·6
2011 10 2337·5
2011 11 9937·7
2011 12 3838.5
2012 01 7736.9
2012 02 9937.4
2012 03 3435·9
2012 04 8335.5
2012 05 7436·3
2012 06 3637.4
2012 07 036·9
2012 08 2636.5
2012 09 5637·4
2012 10 9038.1
2012 11 8539·8
2012 12 8638.0
2013 01 7438·6
2013 02 4337·2
2013 03 437.1
2013 04 836·4
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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 |
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Example 3: Get Population Level Data for Workers |
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