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 8123.8
2012 03 3127.6
2012 02 5426.1
2012 01 3225.8
2011 12 7425.0
2011 11 9120.0
2011 10 9423·2
2011 09 2625.1
2011 08 929·2
2011 07 2427.0
2011 06 1125.8
2011 05 9427·0
2011 04 3629.4
2011 03 1329·0
2011 02 1629.2
2011 01 8026.6
2010 12 3026.1
2010 11 6321·9
2010 10 4928.2
2010 09 5227.1
2010 08 9128.8
2010 07 728.0
2010 06 7026.2
2010 05 627.2
2010 04 4525·5
2010 03 127·7
2010 02 7026.0
2010 01 6025.0
2009 12 4327·3
2009 11 2627.8
2009 10 5927·5
2009 09 5925.0
2009 08 5922·6
2009 07 9023·2
2009 06 7725·2
2009 05 7021·0
2009 04 9420.2
2009 03 2319·2
2009 02 8619.9
2009 01 9016.7
2008 12 7421.1
2008 11 8319.3
2008 10 7419·3
2008 09 3620.0
2008 08 4820.0
2008 07 5220·1
2008 06 5420·7
2008 05 5419·3
2008 04 9318.4
2008 03 3515·6
2008 02 6416.8
2008 01 1117·5
2007 12 917·4
2007 11 6517·2
2007 10 6616.4
2007 09 215.4
2007 08 2015·4
2007 07 9814.2
2007 06 4915.3
2007 05 4714.9
2007 04 7816.1
2007 03 1615·3
2007 02 2614·4
2007 01 9016.4
2006 12 5814.4
2006 11 2515·3
2006 10 3415·5
2006 09 9916·6
2006 08 5920·2
2006 07 5717.0
2006 06 3616.2
2006 05 6812·5
2006 04 913.8
2006 03 6917·2
2006 02 2015.2
2006 01 1815.6
2005 12 5615.9
2005 11 4319·2
2005 10 018.8
2005 09 9216.1
2005 08 7715·7
2005 07 8414.2
2005 06 1214·8
2005 05 5917.6
2005 04 7217.7
2005 03 2516·0
2005 02 2017.2
2005 01 1316.4
2004 12 6517.2
2004 11 2218·6
2004 10 1218.2
2004 09 7418·1
2004 08 919·4
2004 07 5819·5
2004 06 019.3
2004 05 8519.6
2004 04 7718.1
2004 03 3717.7
2004 02 2316·9
2004 01 1617·3
2003 12 7018.6
2003 11 9315·7
2003 10 4418.8
2003 09 6116·2
2003 08 1516·7
2003 07 8217·9
2003 06 5019.3
2003 05 3915·8
2003 04 6017·1
2003 03 8516·5
2003 02 5318·5
2003 01 9417·6
2002 12 8216·2
2002 11 1017·4
2002 10 9313.5
2002 09 9617·5
2002 08 8115.5
2002 07 8716.3
2002 06 3217·0
2002 05 3817.7
2002 04 8219.6
2002 03 7415·9
2002 02 5814·8
2002 01 3916·8
2001 12 3517·4
2001 11 5114·3
2001 10 8314.0
2001 09 4514·0
2001 08 1715·7
2001 07 2717.1
2001 06 4614.6
2001 05 2313·9
2001 04 2714·4
2001 03 3115.8
2001 02 1016.1
2001 01 6813·9
2000 12 9112·3
2000 11 2213·8
2000 10 6212.9
2000 09 014·0
2000 08 5917·2
2000 07 8014.3
2000 06 1512.4
2000 05 6115·1
2000 04 713.5
2000 03 1314·4
2000 02 814·3
2000 01 2313.6
1999 12 3514.7
1999 11 5116·3
1999 10 317.8
1999 09 7715.8
1999 08 6915·4
1999 07 5214.3
1999 06 8716.3
1999 05 4514.3
1999 04 5814·9
1999 03 9715·2
1999 02 7515·3
1999 01 6916·6
1998 12 7813.7
1998 11 9315.7
1998 10 315·9
1998 09 1914.8
1998 08 3015·0
1998 07 7114·2
1998 06 3515.6
1998 05 9014·5
1998 04 3815·9
1998 03 8914·7
1998 02 5815·6
1998 01 015.7
1997 12 5517.3
1997 11 2716·4
1997 10 8616·5
1997 09 9319·8
1997 08 5417·2
1997 07 9217·5
1997 06 5614·7
1997 05 3918·8
1997 04 3616.9
1997 03 1716·9
1997 02 3119·3
1997 01 3114.6
1996 12 2618·0
1996 11 5715.1
1996 10 016.3
1996 09 9015.8
1996 08 7616.1
1996 07 9516.0
1996 06 7417.4
1996 05 5818·3
1996 04 5916·9
1996 03 3617.3
1996 02 9217·7
1996 01 518.4
1995 12 7819·6
1995 11 1318.6
1995 10 1719.1
1995 09 2619.4
1995 08 5619·0
1995 07 8221.2
1995 06 3718·6
1995 05 3919.2
1995 04 4519·7
1995 03 2519.3
1995 02 6418.7
1995 01 8918·5
1994 12 2017.2
1994 11 4919.0
1994 10 3717.8
1994 09 4418.5
1994 08 8219.0
1994 07 8519·8
1994 06 1818.5
1994 05 017·4
1994 04 5422.2
1994 03 8916.8
1994 02 9520.9
1994 01 7418·3
1993 12 8919·0
1993 11 4419.8
1993 10 8120.0
1993 09 1118·4
1993 08 6218.2
1993 07 5617.4
1993 06 1520·2
1993 05 8119·4
1993 04 7220·3
1993 03 5723·4
1993 02 5820.4
1993 01 7721.8
1992 12 4522·1
1992 11 322.5
1992 10 9921·4
1992 09 1823·3
1992 08 3219·7
1992 07 7622.0
1992 06 5124.4
1992 05 4921.3
1992 04 820·4
1992 03 8320.2
1992 02 5121·2
1992 01 3920·6
1991 12 7324·6
1991 11 5520.2
1991 10 6320.6
1991 09 8219.3
1991 08 5321·6
1991 07 4822.0
1991 06 7419·9
1991 05 9818·6
1991 04 9920.0
1991 03 4617.7
1991 02 9717·3
1991 01 2920.5
1990 12 8518.0
1990 11 5318·1
1990 10 7117.8
1990 09 4617·9
1990 08 1117·3
1990 07 315.0
1990 06 5716·5
1990 05 4218.2
1990 04 416·5
1990 03 5017·9
1990 02 4519.4
1990 01 3715.8
1989 12 1416·6
1989 11 7815·9
1989 10 4614·5
1989 09 7414.7
1989 08 1617·0
1989 07 9317·1
1989 06 9915.6
1989 05 2414.0
1989 04 1114.0
1989 03 2615.3
1989 02 6616.6
1989 01 8015.6
1988 12 2315.5
1988 11 3413·6
1988 10 3615.7
1988 09 6119·0
1988 08 417·6
1988 07 9916·2
1988 06 2114.7
1988 05 1116·5
1988 04 2818·8
1988 03 2717.0
1988 02 6017·3
1988 01 017.6
1987 12 9716.1
1987 11 5018.2
1987 10 1420.3
1987 09 2116·9
1987 08 3414.7
1987 07 2517.5
1987 06 7319·1
1987 05 9519·8
1987 04 9216·8
1987 03 3319.8
1987 02 4918.6
1987 01 6418.5
1986 12 4519·1
1986 11 8119·7
1986 10 7918.8
1986 09 9819·2
1986 08 9418.4
1986 07 019·2
1986 06 2721.4
1986 05 9120·3
1986 04 6320·4
1986 03 4719·1
1986 02 8119.7
1986 01 6320·5
1985 12 521.0
1985 11 521·2
1985 10 5321·6
1985 09 5820.1
1985 08 9216.2
1985 07 7821·8
1985 06 8219·2
1985 05 4419·8
1985 04 2819·8
1985 03 019.6
1985 02 3019·2
1985 01 1520·5
1984 12 3521·7
1984 11 2718·6
1984 10 8518·3
1984 09 9221·2
1984 08 6621·3
1984 07 3919.2
1984 06 6018.9
1984 05 1819.2
1984 04 9520·6
1984 03 4522·6
1984 02 9322.0
1984 01 6121.5
1983 12 2321·2
1983 11 7621.3
1983 10 4723·5
1983 09 1823.7
1983 08 7523.7
1983 07 8723.7
1983 06 1027·3
1983 05 524.7
1983 04 124.5
1983 03 6223·9
1983 02 9423.1
1983 01 6923.7
1982 12 7725·1
1982 11 624.4
1982 10 3722.6
1982 09 7723.4
1982 08 424.0
1982 07 5224·6
1982 06 422·5
1982 05 2423·6
1982 04 723.3
1982 03 5521.4
1982 02 8022·4
1982 01 2921·3
1981 12 3520·5
1981 11 9822·5
1981 10 8022·2
1981 09 3621·0
1981 08 6519·8
1981 07 8719·9
1981 06 4021·7
1981 05 1419.8
1981 04 9719·6
1981 03 5321.7
1981 02 2520·2
1981 01 5819.5
1980 12 5619.4
1980 11 5419·8
1980 10 2119.6
1980 09 8718·9
1980 08 9320.5
1980 07 7121.1
1980 06 4218·5
1980 05 4420·4
1980 04 8318.3
1980 03 1119.4
1980 02 2619·3
1980 01 9919·6
1979 12 2718.6
1979 11 516·3
1979 10 3519.8
1979 09 4617·7
1979 08 4918·8
1979 07 1018.5
1979 06 5819.0
1979 05 518·2
1979 04 019·2
1979 03 818.1
1979 02 717·6
1979 01 1918.2
1978 12 5619.7
1978 11 518·3
1978 10 2018.2
1978 09 5719·8
1978 08 1719.6
1978 07 3321·1
1978 06 6118.6
1978 05 1319.3
1978 04 919.1
1978 03 4820.1
1978 02 1620.3
1978 01 819·8
1977 12 8119.3
1977 11 3320·4
1977 10 9919.5
1977 09 8420.9
1977 08 1018.6
1977 07 9319·1
1977 06 4820.7
1977 05 1121.6
1977 04 9520.7
1977 03 6121·8
1977 02 2620.6
1977 01 8422.5
1976 12 6220.5
1976 11 9321.3
1976 10 2020·7
1976 09 2120·0
1976 08 6122·5
1976 07 7020.6
1976 06 4321.8
1976 05 6620·2
1976 04 6820.7
1976 03 018.9
1976 02 3421·6
1976 01 8820·3
1975 12 8322.1
1975 11 1420.8
1975 10 5522.6
1975 09 8321·9
1975 08 3222.0
1975 07 6920·4
1975 06 9419.4
1975 05 6821·4
1975 04 6520·7
1975 03 4622.3
1975 02 6420·3
1975 01 8820·4
1974 12 5720·5
1974 11 5219·8
1974 10 319·8
1974 09 1319·2
1974 08 814.7
1974 07 1819.1
1974 06 7418·3
1974 05 3617.5
1974 04 4516.4
1974 03 218·1
1974 02 6417·6
1974 01 7618.1
1973 12 1717.1
1973 11 8518·0
1973 10 8717.2
1973 09 7719·8
1973 08 116·2
1973 07 7316·6
1973 06 8118·5
1973 05 1017.9
1973 04 9519·0
1973 03 9817.0
1973 02 718·6
1973 01 6716·9
1972 12 2617.8
1972 11 1718.8
1972 10 5518·6
1972 09 6818·9
1972 08 4420.6
1972 07 1121·3
1972 06 3719.4
1972 05 5715·1
1972 04 2519.3
1972 03 8818.8
1972 02 9119·7
1972 01 417.7
1971 12 6819·1
1971 11 7818.7
1971 10 8018·6
1971 09 218.1
1971 08 019.1
1971 07 3820·1
1971 06 9220.2
1971 05 7019·7
1971 04 7017·9
1971 03 5118.6
1971 02 3916.8
1971 01 5318.1
1970 12 5419.8
1970 11 2219.4
1970 10 6018.4
1970 09 2018.7
1970 08 5216·8
1970 07 8316·3
1970 06 1816·5
1970 05 6515·3
1970 04 9117.8
1970 03 9216.5
1970 02 015.8
1970 01 717.9
1969 12 1915·5
1969 11 2815·3
1969 10 1917·7
1969 09 9116·7
1969 08 1315·9
1969 07 015·9
1969 06 1315·2
1969 05 8415·1
1969 04 7315.0
1969 03 3914·7
1969 02 4513.3
1969 01 8214·1
1968 12 2416.7
1968 11 214.4
1968 10 314·5
1968 09 414.4
1968 08 1814·9
1968 07 6918.0
1968 06 016·7
1968 05 9417·0
1968 04 2812·2
1968 03 4815·4
1968 02 7417·0
1968 01 2115.2
1967 12 5516.4
1967 11 7116.2
1967 10 8714.1
1967 09 7815.2
1967 08 2615·0
1967 07 9314.9
1967 06 2714.4
1967 05 8614.8
1967 04 9011·9
1967 03 9714·0
1967 02 816·6
1967 01 8813·6
1966 12 2214.1
1966 11 9015.2
1966 10 6815.6
1966 09 5415.6
1966 08 2416·4
1966 07 317.1
1966 06 6817.4
1966 05 7818·1
1966 04 2018.8
1966 03 9218.1
1966 02 9716.6
1966 01 7815.5
1965 12 6115.3
1965 11 3915·7
1965 10 6914·8
1965 09 9916.9
1965 08 2215.8
1965 07 5116·7
1965 06 2017.5
1965 05 1017.3
1965 04 419.0
1965 03 6018.9
1965 02 1420.9
1965 01 623·0
1964 12 3221.4
1964 11 2215.1
1964 10 3821.9
1964 09 418·8
1964 08 5619.8
1964 07 1917.6
1964 06 618.7
1964 05 5118.9
1964 04 5220.4
1964 03 5717·7
1964 02 5516·8
1964 01 1318.7
1963 12 2121.6
1963 11 6820.7
1963 10 4921·6
1963 09 8720·0
1963 08 8715.9
1963 07 920.8
1963 06 7521·8
1963 05 9121·2
1963 04 018.3
1963 03 6118.8
1963 02 4623·2
1963 01 6816.6
1962 12 3817.6
1962 11 3117·0
1962 10 9915.8
1962 09 8914·9
1962 08 9915.2
1962 07 5116·3
1962 06 9916·3
1962 05 4716·8
1962 04 917·4
1962 03 7718.3
1962 02 3220·1
1962 01 6218·2
1961 12 1815.2
1961 11 9219.3
1961 10 1218·6
1961 09 7719.8
1961 08 319·5
1961 07 019·7
1961 06 7618.0
1961 05 6216·5
1961 04 6316.0
1961 03 3518.4
1961 02 8819.5
1961 01 1120·1
1960 12 2419·1
1960 11 5314·7
1960 10 3517·0
1960 09 4317·4
1960 08 3516.6
1960 07 3511·8
1960 06 3115·3
1960 05 215.2
1960 04 7415·4
1960 03 8814.0
1960 02 1214.8
1960 01 5816·1
1959 12 3914.2
1959 11 4515.3
1959 10 4214.3
1959 09 414·8
1959 08 5616.4
1959 07 6013.9
1959 06 914·8
1959 05 5915.0
1959 04 7617.2
1959 03 1716·1
1959 02 268·5
1959 01 688.5
1958 12 7415·4
1958 11 2115.1
1958 10 3118.1
1958 09 119·2
1958 08 5115.1
1958 07 419.9
1958 06 8616·1
1958 05 5016.7
1958 04 3118.3
1958 03 2413.7
1958 02 7914·8
1958 01 3514.7
1957 12 6614·5
1957 11 6113·3
1957 10 2412·5
1957 09 111.0
1957 08 3013.1
1957 07 2213·3
1957 06 5813·2
1957 05 1612·6
1957 04 2510·8
1957 03 4012.6
1957 02 4412·4
1957 01 7410.3
1956 12 748·0
1956 11 7013·4
1956 10 7011·7
1956 09 9611.5
1956 08 3011.1
1956 07 9411·8
1956 06 4917.2
1956 05 2413.9
1956 04 6612·0
1956 03 1815·2
1956 02 1813.2
1956 01 2812.7
1955 12 8512·0
1955 11 7612.4
1955 10 429·7
1955 09 310.8
1955 08 1015·5
1955 07 2211·5
1955 06 611.9
1955 05 6611·0
1955 04 9213·1
1955 03 3910·4
1955 02 2511·3
1955 01 6314.2
1954 12 813·3
1954 11 3310·4
1954 10 3713.5
1954 09 6314·6
1954 08 5614.6
1954 07 3712·2
1954 06 412·0
1954 05 5912·4
1954 04 6311·8
1954 03 613·0
1954 02 1316·9
1954 01 7210·5
1953 12 7912.8
1953 11 228.4
1953 10 7910.8
1953 09 448·6
1953 08 797.7
1953 07 936.9
1953 06 396·7
1953 05 457.6
1953 04 648·9
1953 03 498.7
1953 02 559·5
1953 01 709.7
1952 12 598.7
1952 11 4710.2
1952 10 1711·4
1952 09 377.8
1952 08 159·5
1952 07 698·2
1952 06 359·4
1952 05 9110·6
1952 04 68.4
1952 03 217·8
1952 02 497·4
1952 01 09.3
1951 12 338.4
1951 11 3612.7
1951 10 228·2
1951 09 5910.4
1951 08 2310.3
1951 07 699.9
1951 06 409·8
1951 05 877·6
1951 04 249.8
1951 03 312.7
1951 02 188.6
1951 01 2810.7
1950 12 1318.3
1950 11 4412·9
1950 10 9311·5
1950 09 5213·2
1950 08 8912.9
1950 07 2416·0
1950 06 2815·2
1950 05 5214·2
1950 04 7911·3
1950 03 9916.0
1950 02 1015.1
1950 01 4714.2
1949 12 3216.3
1949 11 5113.4
1949 10 5315·4
1949 09 8217·6
1949 08 2515.6
1949 07 8614.9
1949 06 9514·6
1949 05 2612.7
1949 04 5613·9
1949 03 3712·4
1949 02 9814·7
1949 01 7310.5
1948 12 537.0
1948 11 608·3
1948 10 508.4
1948 09 427·3
1948 08 657·6
1948 07 3611·0
1948 06 6512·9
1948 05 775·4
1948 04 6710·6
1948 03 7311·4
1948 02 8013.2
1948 01 488·8
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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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