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 8028·9
2012 03 6630·1
2012 02 7333·5
2012 01 5532·0
2011 12 8930·5
2011 11 5226.7
2011 10 2627·4
2011 09 2227.6
2011 08 3228·2
2011 07 529·4
2011 06 4930·2
2011 05 5731.0
2011 04 6232·3
2011 03 728·4
2011 02 5428.6
2011 01 328·9
2010 12 5228·5
2010 11 6529·5
2010 10 7934·7
2010 09 3033·3
2010 08 332·6
2010 07 932·0
2010 06 8832·7
2010 05 3232·1
2010 04 4131.9
2010 03 9831·3
2010 02 6831·0
2010 01 2831.3
2009 12 1632.8
2009 11 1231.5
2009 10 3232·6
2009 09 6130.2
2009 08 429·1
2009 07 5828·1
2009 06 1826·6
2009 05 226·3
2009 04 426.3
2009 03 6728.6
2009 02 8927.5
2009 01 4527.1
2008 12 4326.4
2008 11 9729·0
2008 10 3325.9
2008 09 821·2
2008 08 7023·4
2008 07 2929·4
2008 06 6227.1
2008 05 3624.4
2008 04 6123·1
2008 03 7022.5
2008 02 1521·2
2008 01 9724.9
2007 12 1721.8
2007 11 5120.8
2007 10 5517.5
2007 09 8721·3
2007 08 6221·6
2007 07 2919·4
2007 06 6818.6
2007 05 2319.2
2007 04 4818·2
2007 03 8517·8
2007 02 6919.7
2007 01 5116.8
2006 12 4918.2
2006 11 2718.1
2006 10 9619.2
2006 09 3918.5
2006 08 6618.0
2006 07 8517·3
2006 06 1018·4
2006 05 8218.1
2006 04 2419.0
2006 03 1720.4
2006 02 020·6
2006 01 9817.3
2005 12 7419.0
2005 11 422·6
2005 10 7917.5
2005 09 3220.8
2005 08 9121.2
2005 07 5323·7
2005 06 8421.6
2005 05 5422.9
2005 04 7623.4
2005 03 9522·6
2005 02 8023·6
2005 01 5622·7
2004 12 5424·5
2004 11 8722·6
2004 10 5221.9
2004 09 5820.6
2004 08 7522.1
2004 07 1121·3
2004 06 1522.3
2004 05 523·3
2004 04 1424·3
2004 03 7322.2
2004 02 718·9
2004 01 6520·4
2003 12 7318·5
2003 11 518·3
2003 10 8920.8
2003 09 3322·4
2003 08 7620.6
2003 07 6322.4
2003 06 5022·6
2003 05 2820·6
2003 04 7421·7
2003 03 3018.2
2003 02 419·5
2003 01 9420·2
2002 12 4219·5
2002 11 1221.8
2002 10 8717·4
2002 09 9921·3
2002 08 8123.0
2002 07 4021.5
2002 06 6321.1
2002 05 3922.5
2002 04 1620·3
2002 03 7221·3
2002 02 1920·7
2002 01 3320.9
2001 12 9721·4
2001 11 8820·7
2001 10 6921.0
2001 09 2318·2
2001 08 020.6
2001 07 9618·2
2001 06 5117·8
2001 05 8116.8
2001 04 2619·0
2001 03 2616·5
2001 02 2618·9
2001 01 9921·3
2000 12 9918.8
2000 11 3717·4
2000 10 8417.5
2000 09 9717.5
2000 08 6915.8
2000 07 917.5
2000 06 3716·2
2000 05 1916·7
2000 04 1416.1
2000 03 4816·2
2000 02 2316.6
2000 01 3515·0
1999 12 3217·0
1999 11 8816·4
1999 10 415·1
1999 09 3716·3
1999 08 4915.8
1999 07 8316.7
1999 06 7017·2
1999 05 4717.6
1999 04 1618.4
1999 03 1718.0
1999 02 3215·1
1999 01 619·8
1998 12 718·7
1998 11 9519.3
1998 10 2821.7
1998 09 8620·6
1998 08 2419·1
1998 07 5018.8
1998 06 2220.1
1998 05 7918·3
1998 04 9215.0
1998 03 3718.8
1998 02 120·7
1998 01 618.0
1997 12 6117.6
1997 11 3918·2
1997 10 7817·9
1997 09 918.5
1997 08 618·4
1997 07 6219·8
1997 06 9219.7
1997 05 5918.7
1997 04 2820.2
1997 03 3721·0
1997 02 419.4
1997 01 5020·1
1996 12 5320·3
1996 11 2218.5
1996 10 319·6
1996 09 019·0
1996 08 3022·0
1996 07 9824.2
1996 06 220·3
1996 05 5421·0
1996 04 3520·9
1996 03 7220·8
1996 02 3921.6
1996 01 8021.6
1995 12 6921.3
1995 11 7522·1
1995 10 7621.8
1995 09 7421.2
1995 08 5622.3
1995 07 6421.3
1995 06 119·2
1995 05 5422.5
1995 04 4821.1
1995 03 2119·9
1995 02 2821·3
1995 01 6420·3
1994 12 1919·2
1994 11 5217·2
1994 10 9418·8
1994 09 7420.7
1994 08 7020·2
1994 07 8920·6
1994 06 6222.2
1994 05 7722.3
1994 04 2724·5
1994 03 8822·2
1994 02 2021·5
1994 01 9323·2
1993 12 4020.8
1993 11 3222·1
1993 10 8122·7
1993 09 6620·5
1993 08 8321.2
1993 07 2622.4
1993 06 8226.3
1993 05 6422·4
1993 04 5823.5
1993 03 324.0
1993 02 8823.6
1993 01 8325·5
1992 12 9124·2
1992 11 1925·7
1992 10 8422·6
1992 09 4125.1
1992 08 3023.7
1992 07 5524.7
1992 06 8627.9
1992 05 8325.6
1992 04 5323·2
1992 03 1925.0
1992 02 2924·7
1992 01 7723·0
1991 12 5824.0
1991 11 4222.2
1991 10 7822·9
1991 09 1822·5
1991 08 7222·6
1991 07 8122.7
1991 06 2020.4
1991 05 2520·8
1991 04 4521·2
1991 03 1723·0
1991 02 6820·0
1991 01 4220·7
1990 12 5221·7
1990 11 5720.5
1990 10 5919·7
1990 09 3819·2
1990 08 9419.6
1990 07 3217·7
1990 06 5817.0
1990 05 719·2
1990 04 9617.7
1990 03 015·7
1990 02 5117.5
1990 01 6816·2
1989 12 919.5
1989 11 4119.1
1989 10 5218.6
1989 09 6719.5
1989 08 717·1
1989 07 6317.6
1989 06 9819.5
1989 05 7018·1
1989 04 9217.5
1989 03 9716.3
1989 02 5219.7
1989 01 7420·7
1988 12 8817.4
1988 11 017.4
1988 10 318.6
1988 09 9720·7
1988 08 4617·3
1988 07 5418.3
1988 06 6317·4
1988 05 8317.0
1988 04 4217.9
1988 03 6419·1
1988 02 6917·4
1988 01 119.0
1987 12 7618·9
1987 11 6320.4
1987 10 8620·3
1987 09 4518·7
1987 08 7220·4
1987 07 817·4
1987 06 119·5
1987 05 3523·0
1987 04 8321.4
1987 03 7920·7
1987 02 2620·9
1987 01 1520.8
1986 12 8218·9
1986 11 8421·3
1986 10 9918.9
1986 09 5321·6
1986 08 7121.1
1986 07 5520·9
1986 06 8520·3
1986 05 4421·2
1986 04 7421.0
1986 03 4720·7
1986 02 6922.6
1986 01 820.8
1985 12 4321·8
1985 11 4320.5
1985 10 6623·7
1985 09 8820.6
1985 08 5222·1
1985 07 4922.6
1985 06 1323·8
1985 05 5321·9
1985 04 321·2
1985 03 9722·2
1985 02 7320·6
1985 01 9821.4
1984 12 1920.2
1984 11 4320·6
1984 10 3320·8
1984 09 4121.5
1984 08 5222.1
1984 07 6922·2
1984 06 822·1
1984 05 2721·4
1984 04 7823·1
1984 03 8223.0
1984 02 3422.6
1984 01 2522·8
1983 12 9623.7
1983 11 1422.5
1983 10 7523·8
1983 09 2924.1
1983 08 3225·8
1983 07 2126·3
1983 06 1925.6
1983 05 5926.9
1983 04 3626.6
1983 03 8426·2
1983 02 7725·1
1983 01 5725.6
1982 12 8328·8
1982 11 1028·5
1982 10 8928·3
1982 09 9528·9
1982 08 7526·7
1982 07 3226.8
1982 06 1725.8
1982 05 6526.0
1982 04 3724·6
1982 03 524·7
1982 02 5024·2
1982 01 8623.8
1981 12 1822.4
1981 11 1122.9
1981 10 9920.8
1981 09 421.1
1981 08 9421.0
1981 07 5819·6
1981 06 324·0
1981 05 8721·9
1981 04 6622·5
1981 03 7522.0
1981 02 2422.8
1981 01 2822·9
1980 12 5920·0
1980 11 2122.3
1980 10 5122.0
1980 09 4921.1
1980 08 2423.4
1980 07 7720·9
1980 06 9721·3
1980 05 9121·0
1980 04 3518.8
1980 03 4917.1
1980 02 9918·5
1980 01 2618.9
1979 12 9418·0
1979 11 6917·5
1979 10 2017.3
1979 09 4616.9
1979 08 2517·4
1979 07 9416·5
1979 06 4916.8
1979 05 7118·2
1979 04 7918·2
1979 03 519.5
1979 02 9719·4
1979 01 4519.0
1978 12 3120·1
1978 11 1019.6
1978 10 420.0
1978 09 3719·2
1978 08 8317.7
1978 07 3819.4
1978 06 3117.5
1978 05 4217·9
1978 04 5819.6
1978 03 4919.8
1978 02 6721·0
1978 01 7818.0
1977 12 816·2
1977 11 2218.2
1977 10 2518.6
1977 09 9019·3
1977 08 820.8
1977 07 6420.2
1977 06 4223.4
1977 05 4619.0
1977 04 5818.2
1977 03 821.1
1977 02 8219·4
1977 01 4220·0
1976 12 8420.8
1976 11 1022.0
1976 10 3122.0
1976 09 9521.3
1976 08 3620.9
1976 07 5120·7
1976 06 422·0
1976 05 5122.9
1976 04 8921·3
1976 03 3820.2
1976 02 3821·1
1976 01 7821·6
1975 12 4519·8
1975 11 419·9
1975 10 9621·5
1975 09 7022.2
1975 08 2722.4
1975 07 322.3
1975 06 6623.2
1975 05 4721·5
1975 04 8821.7
1975 03 1920·6
1975 02 6121.7
1975 01 5321.6
1974 12 121.5
1974 11 5720·1
1974 10 1818·1
1974 09 5718.5
1974 08 6818.0
1974 07 4918·6
1974 06 119·2
1974 05 5217.6
1974 04 1416.7
1974 03 5317.7
1974 02 9717.6
1974 01 5917·9
1973 12 8816.9
1973 11 4917·5
1973 10 2016.8
1973 09 2116.3
1973 08 6816·2
1973 07 4416·3
1973 06 616·8
1973 05 817·4
1973 04 5219·1
1973 03 7117·2
1973 02 2017.2
1973 01 1316·6
1972 12 6717.7
1972 11 8418·2
1972 10 4917·8
1972 09 5620·5
1972 08 6319.6
1972 07 6714·5
1972 06 515.3
1972 05 8017.8
1972 04 1518·4
1972 03 2620·9
1972 02 2820.3
1972 01 5618·4
1971 12 2318.7
1971 11 9218.2
1971 10 7919.9
1971 09 7718.5
1971 08 1419·5
1971 07 2320·1
1971 06 4619·4
1971 05 6217·5
1971 04 3717·9
1971 03 9917·9
1971 02 4316·9
1971 01 5619·4
1970 12 6719.2
1970 11 2718·0
1970 10 718·6
1970 09 2718.6
1970 08 617·1
1970 07 4015.6
1970 06 218·0
1970 05 7016·4
1970 04 7816·3
1970 03 9315·1
1970 02 1415.3
1970 01 414·8
1969 12 3412·8
1969 11 6814·0
1969 10 5813.5
1969 09 7214·3
1969 08 5015.3
1969 07 7214.6
1969 06 7013.6
1969 05 4513·8
1969 04 2512·6
1969 03 3713·6
1969 02 1412·9
1969 01 1613·6
1968 12 8513·8
1968 11 2013.6
1968 10 7812.7
1968 09 512·4
1968 08 8112.5
1968 07 014.2
1968 06 7515.3
1968 05 5513.8
1968 04 8714.0
1968 03 8714·8
1968 02 4114.1
1968 01 3613.9
1967 12 513·9
1967 11 1115·2
1967 10 4215·6
1967 09 4113·5
1967 08 6015.1
1967 07 2814.2
1967 06 6314.7
1967 05 9114·3
1967 04 115.2
1967 03 2113·2
1967 02 1815·0
1967 01 2914.6
1966 12 513.6
1966 11 9612·0
1966 10 4613·7
1966 09 2414·0
1966 08 7212·8
1966 07 8413.3
1966 06 813.5
1966 05 7015.1
1966 04 2713·2
1966 03 4314.9
1966 02 9313.2
1966 01 8714·8
1965 12 2016·3
1965 11 5415·8
1965 10 1416·3
1965 09 1916.7
1965 08 2816·1
1965 07 2416.4
1965 06 915·6
1965 05 3415.0
1965 04 5016·8
1965 03 8415·6
1965 02 4017.4
1965 01 2717.4
1964 12 1217·1
1964 11 9016·8
1964 10 9513·8
1964 09 1814·8
1964 08 6417.3
1964 07 2614.7
1964 06 8718·4
1964 05 4917·2
1964 04 8119.0
1964 03 9618·3
1964 02 5518.1
1964 01 9219·0
1963 12 6417·6
1963 11 3318.9
1963 10 6117.5
1963 09 3818·4
1963 08 3918.8
1963 07 9419·6
1963 06 9218.4
1963 05 820·4
1963 04 5620.5
1963 03 6020.2
1963 02 6219.6
1963 01 4716.0
1962 12 8915·1
1962 11 3717·9
1962 10 914·8
1962 09 2214·2
1962 08 4015.4
1962 07 5814.6
1962 06 9617·5
1962 05 2816·2
1962 04 3415·0
1962 03 7916.0
1962 02 1016.9
1962 01 8416·5
1961 12 2219·0
1961 11 8218.7
1961 10 6418.6
1961 09 3519·6
1961 08 7818·2
1961 07 7318.5
1961 06 9717·6
1961 05 4916·7
1961 04 318.6
1961 03 8417.4
1961 02 7117.6
1961 01 2118.8
1960 12 2214·8
1960 11 7213·8
1960 10 7416·0
1960 09 6915·9
1960 08 8716·2
1960 07 1714·6
1960 06 1916·5
1960 05 3916.4
1960 04 7115·0
1960 03 2816·8
1960 02 4313·0
1960 01 9916·4
1959 12 7716·3
1959 11 3515·2
1959 10 1017.5
1959 09 4316·0
1959 08 2817.3
1959 07 9616·3
1959 06 814·3
1959 05 9014·9
1959 04 7615·9
1959 03 9114.8
1959 02 5016.3
1959 01 8416·8
1958 12 9516.6
1958 11 2716.0
1958 10 7216·4
1958 09 9617·0
1958 08 8715.9
1958 07 3717·1
1958 06 3916.5
1958 05 1817.7
1958 04 7618.7
1958 03 7616.1
1958 02 3915.6
1958 01 7012·2
1957 12 1413·2
1957 11 2715·6
1957 10 8311.5
1957 09 9612·8
1957 08 7412.5
1957 07 9612·4
1957 06 1012.0
1957 05 659.8
1957 04 5911·6
1957 03 1413·1
1957 02 8310·9
1957 01 7214.3
1956 12 9210.3
1956 11 3913.5
1956 10 9011.7
1956 09 3511.0
1956 08 2510·1
1956 07 5110·6
1956 06 4313·9
1956 05 9914.1
1956 04 3311.5
1956 03 589·1
1956 02 8112·1
1956 01 3211·2
1955 12 1713·9
1955 11 9211·8
1955 10 6613.4
1955 09 2912.5
1955 08 113.9
1955 07 813.9
1955 06 8713.5
1955 05 1011.7
1955 04 369.5
1955 03 8811·3
1955 02 5611·4
1955 01 1711·2
1954 12 9814.4
1954 11 4012.2
1954 10 1013·8
1954 09 2116·7
1954 08 8615.1
1954 07 9513·5
1954 06 1411.2
1954 05 1613·1
1954 04 2716.0
1954 03 915.5
1954 02 5515.0
1954 01 2012.5
1953 12 7111.3
1953 11 6410·4
1953 10 4513.8
1953 09 778·4
1953 08 928·5
1953 07 668.7
1953 06 237.9
1953 05 587·4
1953 04 927·6
1953 03 487·8
1953 02 516.3
1953 01 559.0
1952 12 9610·1
1952 11 6610·6
1952 10 189·5
1952 09 8910.8
1952 08 549.4
1952 07 210.7
1952 06 369.8
1952 05 312·2
1952 04 429·7
1952 03 6210·5
1952 02 4412.3
1952 01 6711.3
1951 12 609.4
1951 11 7712·7
1951 10 38·4
1951 09 747.8
1951 08 3310.8
1951 07 610.7
1951 06 39.5
1951 05 447·7
1951 04 129·1
1951 03 288·4
1951 02 558·8
1951 01 209·3
1950 12 7211·6
1950 11 519·9
1950 10 9811·7
1950 09 7312.2
1950 08 1310.7
1950 07 710·9
1950 06 9512.8
1950 05 9616.3
1950 04 6215·6
1950 03 5214·7
1950 02 3315.7
1950 01 819·3
1949 12 6816·2
1949 11 6714·2
1949 10 2518.6
1949 09 5411·2
1949 08 715·9
1949 07 6014.0
1949 06 1014.5
1949 05 214.1
1949 04 7913·8
1949 03 6213·5
1949 02 5011·0
1949 01 469·0
1948 12 97.7
1948 11 308.7
1948 10 347.9
1948 09 710·2
1948 08 489·8
1948 07 459·9
1948 06 7311·3
1948 05 287·1
1948 04 7211·6
1948 03 1314.0
1948 02 613·0
1948 01 789.7
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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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