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 3122.5
2012 03 3823·4
2012 02 7420·7
2012 01 5421.1
2011 12 1719.3
2011 11 420.7
2011 10 6020·6
2011 09 5821·1
2011 08 5122.4
2011 07 5122·5
2011 06 2921·7
2011 05 4221.3
2011 04 8221.6
2011 03 5922.6
2011 02 9321·8
2011 01 5023·6
2010 12 8822.6
2010 11 3422.4
2010 10 9024.9
2010 09 5122·7
2010 08 6722·5
2010 07 1022·7
2010 06 8222·4
2010 05 4025.1
2010 04 4522·1
2010 03 4122·4
2010 02 5822·4
2010 01 3521·4
2009 12 7222.8
2009 11 1123·1
2009 10 3123.8
2009 09 8122.1
2009 08 2521·0
2009 07 2520·6
2009 06 3922·3
2009 05 4619.2
2009 04 318·5
2009 03 1518.3
2009 02 4318·7
2009 01 2517.2
2008 12 3118·0
2008 11 3916·6
2008 10 3315·9
2008 09 3817·0
2008 08 6116·9
2008 07 7617.1
2008 06 2216·9
2008 05 2716·9
2008 04 6714.6
2008 03 3514.3
2008 02 4614·6
2008 01 6314·3
2007 12 5114·2
2007 11 4713.6
2007 10 6913·3
2007 09 4013·5
2007 08 3613.9
2007 07 6813·4
2007 06 7913·9
2007 05 7614.1
2007 04 7414·7
2007 03 8013·6
2007 02 8913·3
2007 01 1513·7
2006 12 4013.2
2006 11 8913.5
2006 10 3713·9
2006 09 2814.8
2006 08 3514·8
2006 07 2814·2
2006 06 8513.9
2006 05 811·6
2006 04 8312·5
2006 03 5315.1
2006 02 2113.8
2006 01 7314.2
2005 12 3614.2
2005 11 4615.1
2005 10 5915·5
2005 09 7014·0
2005 08 6814·1
2005 07 1313·7
2005 06 3613.8
2005 05 6515.8
2005 04 8015.0
2005 03 8614.1
2005 02 1514.9
2005 01 5414.1
2004 12 9814.7
2004 11 2114·4
2004 10 8415.0
2004 09 5614·9
2004 08 7115.3
2004 07 017·7
2004 06 5515.8
2004 05 1515·4
2004 04 7614.5
2004 03 3115.1
2004 02 6816.2
2004 01 016.2
2003 12 1215·0
2003 11 4312.8
2003 10 8415.3
2003 09 415·4
2003 08 515.7
2003 07 9515.9
2003 06 9218.2
2003 05 4915·9
2003 04 615.6
2003 03 6815.3
2003 02 414.9
2003 01 7615.3
2002 12 8915·5
2002 11 6815·7
2002 10 5814.1
2002 09 5614.3
2002 08 5514.1
2002 07 2714.9
2002 06 1814.8
2002 05 8314.8
2002 04 3015.6
2002 03 114·9
2002 02 7114·7
2002 01 7615.4
2001 12 6415.8
2001 11 7313·6
2001 10 3014·2
2001 09 7914.2
2001 08 3214·1
2001 07 4913·7
2001 06 3212·9
2001 05 6011.8
2001 04 3513·0
2001 03 6013.5
2001 02 4212·1
2001 01 1611.9
2000 12 9811·8
2000 11 6412·4
2000 10 4612.2
2000 09 6312.3
2000 08 7212·6
2000 07 4112·4
2000 06 5710.4
2000 05 4712·1
2000 04 3111.5
2000 03 9913.9
2000 02 1512.9
2000 01 3710·9
1999 12 7611·6
1999 11 6912·8
1999 10 8013·3
1999 09 2714.9
1999 08 3413.1
1999 07 812.5
1999 06 4213·4
1999 05 3512·4
1999 04 5313.5
1999 03 9813·0
1999 02 1213.6
1999 01 713.9
1998 12 1011.3
1998 11 4413·1
1998 10 3014·4
1998 09 1112.6
1998 08 413.6
1998 07 7912·7
1998 06 5813·9
1998 05 4113·0
1998 04 6212·7
1998 03 5913.0
1998 02 8312.4
1998 01 1711·9
1997 12 3314·3
1997 11 6714.2
1997 10 1913.8
1997 09 8315.3
1997 08 9314.3
1997 07 816·3
1997 06 414.6
1997 05 716·1
1997 04 4314·2
1997 03 1414·9
1997 02 016·8
1997 01 8415·7
1996 12 815·6
1996 11 4215.0
1996 10 9514·2
1996 09 3414·0
1996 08 3715.5
1996 07 7414.2
1996 06 315.0
1996 05 9915.4
1996 04 815·8
1996 03 1615·5
1996 02 6115·7
1996 01 5116.7
1995 12 1916·8
1995 11 016·3
1995 10 3215.6
1995 09 8116·6
1995 08 9615·5
1995 07 8217.7
1995 06 315.8
1995 05 1016·1
1995 04 9016·9
1995 03 4415·5
1995 02 8915·5
1995 01 8315.6
1994 12 7715.4
1994 11 9414·9
1994 10 2617·1
1994 09 6715.9
1994 08 5616.2
1994 07 6115.7
1994 06 7816.4
1994 05 5715·7
1994 04 5217·7
1994 03 316·6
1994 02 3216·5
1994 01 7215.7
1993 12 1716.4
1993 11 316·9
1993 10 217·1
1993 09 5716·7
1993 08 2616.7
1993 07 6516.3
1993 06 2518.1
1993 05 8019.1
1993 04 7917.5
1993 03 2318·4
1993 02 6418.4
1993 01 3618·7
1992 12 118·5
1992 11 3219·4
1992 10 717·0
1992 09 4319.4
1992 08 4318·0
1992 07 7419·7
1992 06 6721·5
1992 05 4718·6
1992 04 8117·5
1992 03 5618·0
1992 02 8217.8
1992 01 1617·6
1991 12 1419.1
1991 11 1017·2
1991 10 1418.0
1991 09 4317·4
1991 08 6818.3
1991 07 9218.4
1991 06 5317·0
1991 05 5016·8
1991 04 9316.9
1991 03 8316.6
1991 02 916.4
1991 01 7818·4
1990 12 6516.2
1990 11 9115.9
1990 10 2215·0
1990 09 9915.4
1990 08 8515.3
1990 07 4714.0
1990 06 5414.3
1990 05 514.6
1990 04 7713·9
1990 03 814·0
1990 02 9414.3
1990 01 1613·9
1989 12 9214·3
1989 11 5513·8
1989 10 5313·5
1989 09 7614·6
1989 08 514·4
1989 07 9615·0
1989 06 7115.8
1989 05 5413·5
1989 04 1813.4
1989 03 6013.3
1989 02 912.9
1989 01 4513.9
1988 12 5414·0
1988 11 613.3
1988 10 5613.5
1988 09 6714.5
1988 08 6514.9
1988 07 1613.1
1988 06 2512.8
1988 05 6415.1
1988 04 2515·8
1988 03 9415·4
1988 02 5315.3
1988 01 715·4
1987 12 3714.7
1987 11 7416.2
1987 10 317.4
1987 09 8815.3
1987 08 2313.9
1987 07 1215.6
1987 06 6415.9
1987 05 2715.6
1987 04 3615·6
1987 03 8916·7
1987 02 4817·2
1987 01 6916·7
1986 12 5116.8
1986 11 1217·8
1986 10 9317.3
1986 09 8217.7
1986 08 6716·9
1986 07 1317·4
1986 06 6218.2
1986 05 6017·6
1986 04 1118.6
1986 03 4817·4
1986 02 4318.2
1986 01 2318.0
1985 12 3218.5
1985 11 016.9
1985 10 4818·1
1985 09 1516·7
1985 08 616·0
1985 07 7418·7
1985 06 1617.9
1985 05 418·1
1985 04 3416.8
1985 03 317.8
1985 02 1017·1
1985 01 8618.2
1984 12 4118·0
1984 11 4216.4
1984 10 1717.4
1984 09 7918·7
1984 08 7618.6
1984 07 7416.9
1984 06 5117·8
1984 05 2718.2
1984 04 1718.7
1984 03 519·2
1984 02 4818·8
1984 01 9918·1
1983 12 6219.3
1983 11 6819.9
1983 10 7320·5
1983 09 9020·6
1983 08 3821·3
1983 07 1722.0
1983 06 1224.0
1983 05 1921·7
1983 04 9522.1
1983 03 3621.5
1983 02 8021·1
1983 01 3021.8
1982 12 822.5
1982 11 3122.4
1982 10 1322.2
1982 09 9122.1
1982 08 7722.4
1982 07 3322·8
1982 06 7521.0
1982 05 9821·7
1982 04 2821.1
1982 03 9920·2
1982 02 5422.1
1982 01 6921.4
1981 12 1219.9
1981 11 1120·9
1981 10 6120·8
1981 09 4919.7
1981 08 418.1
1981 07 7618·2
1981 06 3718.9
1981 05 618.4
1981 04 318·3
1981 03 2418.7
1981 02 4218.2
1981 01 3517·8
1980 12 3616·6
1980 11 1317.2
1980 10 6516·6
1980 09 5417.0
1980 08 5317.9
1980 07 2418·1
1980 06 2017.7
1980 05 918.2
1980 04 3016·1
1980 03 6517·3
1980 02 4317·3
1980 01 6816.7
1979 12 6616·9
1979 11 6616.1
1979 10 9817·3
1979 09 2516.8
1979 08 8717·1
1979 07 8415·8
1979 06 7316.8
1979 05 9916.5
1979 04 4416.5
1979 03 115.5
1979 02 8015·8
1979 01 3516·0
1978 12 1116·8
1978 11 2316·8
1978 10 5816·1
1978 09 217·2
1978 08 9016.8
1978 07 8317.5
1978 06 6916·7
1978 05 9417.0
1978 04 517.0
1978 03 3617.9
1978 02 217.7
1978 01 2917·8
1977 12 816.1
1977 11 6518.1
1977 10 6818.1
1977 09 5318.6
1977 08 7317·2
1977 07 7517·9
1977 06 719.2
1977 05 3418·4
1977 04 018.9
1977 03 019·0
1977 02 8018.6
1977 01 6620.0
1976 12 1619.2
1976 11 9518·7
1976 10 7618·4
1976 09 6918·2
1976 08 7120·7
1976 07 4218.0
1976 06 818.7
1976 05 8717.5
1976 04 3918·6
1976 03 4718·8
1976 02 1319·2
1976 01 8818·9
1975 12 2220.3
1975 11 4319·2
1975 10 5520.0
1975 09 6719.6
1975 08 4520.4
1975 07 8619.9
1975 06 2119.4
1975 05 4420·6
1975 04 5819·0
1975 03 5720·1
1975 02 2419.0
1975 01 6119·4
1974 12 3618.4
1974 11 6318.1
1974 10 317.9
1974 09 8917·0
1974 08 8115·1
1974 07 3618.4
1974 06 2016.9
1974 05 2216.2
1974 04 1614·4
1974 03 3315.5
1974 02 6215·5
1974 01 7815·4
1973 12 9415.3
1973 11 3515.5
1973 10 4315.0
1973 09 215·6
1973 08 8814.4
1973 07 4815.1
1973 06 114·6
1973 05 6315.4
1973 04 016.4
1973 03 515·1
1973 02 9916.7
1973 01 5514.3
1972 12 5516.0
1972 11 6216·1
1972 10 2416.7
1972 09 9717·1
1972 08 317.3
1972 07 117·6
1972 06 8917.3
1972 05 3414.7
1972 04 2017.1
1972 03 2816.9
1972 02 3316.9
1972 01 3416.7
1971 12 616·9
1971 11 7517·8
1971 10 1717.0
1971 09 9217·4
1971 08 8716·9
1971 07 9818·7
1971 06 3117·7
1971 05 2717·0
1971 04 1216·7
1971 03 8017.6
1971 02 8716.5
1971 01 8216·9
1970 12 5817.8
1970 11 2718·8
1970 10 2216.8
1970 09 2816·2
1970 08 2415.9
1970 07 7014.4
1970 06 115.4
1970 05 5714·0
1970 04 3615·2
1970 03 6614·4
1970 02 1013·8
1970 01 9115·1
1969 12 4512·6
1969 11 9712·0
1969 10 6214·1
1969 09 7113·6
1969 08 2513.5
1969 07 7013.3
1969 06 9613·5
1969 05 6914·3
1969 04 7813·5
1969 03 1513.2
1969 02 7413.2
1969 01 7712.7
1968 12 2814·0
1968 11 9013.5
1968 10 8413.0
1968 09 1513·5
1968 08 2713.5
1968 07 7715·9
1968 06 3914·9
1968 05 2714·6
1968 04 4813.4
1968 03 8213.5
1968 02 7714.1
1968 01 8212.3
1967 12 9314·0
1967 11 3614·2
1967 10 6114.6
1967 09 7413.8
1967 08 8814·3
1967 07 9714.1
1967 06 7913.2
1967 05 2312·7
1967 04 8211·8
1967 03 4512·2
1967 02 4314·0
1967 01 7312·8
1966 12 5112.3
1966 11 8812.8
1966 10 9213.6
1966 09 9213.9
1966 08 9514·2
1966 07 5714·6
1966 06 8814·6
1966 05 7615·0
1966 04 4015·0
1966 03 914·3
1966 02 1913·5
1966 01 4214·3
1965 12 3614.2
1965 11 2614.5
1965 10 9914·1
1965 09 3516.5
1965 08 5913.7
1965 07 1414·4
1965 06 6515·8
1965 05 2515.4
1965 04 917.9
1965 03 418·0
1965 02 7919·3
1965 01 618.9
1964 12 1019.6
1964 11 5414.9
1964 10 3118.0
1964 09 9516·4
1964 08 1516·8
1964 07 4515.1
1964 06 3217·2
1964 05 3917.4
1964 04 9716.6
1964 03 8415.8
1964 02 2115·8
1964 01 616·5
1963 12 5816.7
1963 11 218·1
1963 10 6017·9
1963 09 8917·7
1963 08 2315·3
1963 07 5618·2
1963 06 3817·7
1963 05 918.1
1963 04 4215.3
1963 03 2716·6
1963 02 6717·0
1963 01 916·1
1962 12 9115.7
1962 11 2315·6
1962 10 8614·3
1962 09 5813·8
1962 08 6914·0
1962 07 7414.5
1962 06 5612·3
1962 05 5113.9
1962 04 416·3
1962 03 3915·5
1962 02 6615·9
1962 01 716·4
1961 12 4312·8
1961 11 9715.7
1961 10 2916·5
1961 09 7018·7
1961 08 6417·6
1961 07 5617·7
1961 06 8316·3
1961 05 815.3
1961 04 6714·1
1961 03 4816·5
1961 02 9116·5
1961 01 1716.5
1960 12 7716.6
1960 11 2813.7
1960 10 4015·1
1960 09 1514·4
1960 08 4413·7
1960 07 8011.9
1960 06 4413.0
1960 05 4713.1
1960 04 4313·6
1960 03 914.2
1960 02 4014.0
1960 01 8114·5
1959 12 7614·0
1959 11 4714·7
1959 10 9114.3
1959 09 1113·3
1959 08 6714.5
1959 07 5013·1
1959 06 8513.8
1959 05 5814·0
1959 04 6815.4
1959 03 113.0
1959 02 3510·1
1959 01 6511.5
1958 12 5212.7
1958 11 613·9
1958 10 7914·5
1958 09 015·5
1958 08 2113.9
1958 07 9617.4
1958 06 8014·4
1958 05 5913.8
1958 04 116.0
1958 03 2811.5
1958 02 2512.7
1958 01 6113.7
1957 12 4112·5
1957 11 8510.2
1957 10 289·1
1957 09 499.4
1957 08 1611.2
1957 07 7211.4
1957 06 2711·0
1957 05 9211·4
1957 04 289·8
1957 03 219·6
1957 02 8410.7
1957 01 869·7
1956 12 28·7
1956 11 8810.9
1956 10 8710.2
1956 09 4910·3
1956 08 889.8
1956 07 5711·2
1956 06 4912·8
1956 05 2411·9
1956 04 6110·5
1956 03 3213.7
1956 02 811.6
1956 01 8210.8
1955 12 2210.9
1955 11 4612.1
1955 10 279.7
1955 09 1610·8
1955 08 9610·6
1955 07 559.0
1955 06 949·9
1955 05 4610.4
1955 04 3310.3
1955 03 4210·7
1955 02 2110·5
1955 01 1610·0
1954 12 1011·1
1954 11 128·8
1954 10 4712·4
1954 09 9412.1
1954 08 2611·8
1954 07 9711·3
1954 06 3510·6
1954 05 7511·6
1954 04 712.2
1954 03 5411·2
1954 02 7212.2
1954 01 7812.7
1953 12 312.3
1953 11 657·5
1953 10 719.0
1953 09 486.5
1953 08 906.4
1953 07 356·6
1953 06 706·4
1953 05 535.8
1953 04 677·4
1953 03 986.0
1953 02 327.2
1953 01 887·4
1952 12 616.5
1952 11 97.6
1952 10 469·4
1952 09 718·1
1952 08 229·0
1952 07 508·6
1952 06 238.0
1952 05 478.9
1952 04 256.0
1952 03 287.1
1952 02 16·8
1952 01 858.8
1951 12 707·8
1951 11 759·1
1951 10 447·3
1951 09 798.9
1951 08 838.6
1951 07 468·2
1951 06 408·5
1951 05 486.5
1951 04 158·0
1951 03 249·4
1951 02 18.3
1951 01 368.3
1950 12 4013·2
1950 11 1610.1
1950 10 6510·1
1950 09 1410·6
1950 08 5910.5
1950 07 5211·6
1950 06 9611.3
1950 05 7311·5
1950 04 989.0
1950 03 9014.1
1950 02 8013.4
1950 01 3512·6
1949 12 614·7
1949 11 1112.2
1949 10 3213·8
1949 09 4214·5
1949 08 6012.7
1949 07 2213·6
1949 06 8812·6
1949 05 6511.5
1949 04 5911.8
1949 03 559·9
1949 02 1210.5
1949 01 979·6
1948 12 307.7
1948 11 658·2
1948 10 927.3
1948 09 577·6
1948 08 228·5
1948 07 369.0
1948 06 409.3
1948 05 896·1
1948 04 109.2
1948 03 738·6
1948 02 948·9
1948 01 637.2
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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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