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 6317·6
2012 03 317·4
2012 02 1118.6
2012 01 9517.1
2011 12 8818·3
2011 11 2618·5
2011 10 4617·9
2011 09 1418·9
2011 08 8019·5
2011 07 4718·8
2011 06 8218·7
2011 05 3318.6
2011 04 8819.1
2011 03 4918.9
2011 02 3118.9
2011 01 9418·9
2010 12 8819·8
2010 11 3720·5
2010 10 3220·1
2010 09 6720.2
2010 08 8120·3
2010 07 4321.1
2010 06 4821·0
2010 05 4619.5
2010 04 9222.3
2010 03 2521·5
2010 02 6721·3
2010 01 5022.3
2009 12 7121·9
2009 11 6321·8
2009 10 022.1
2009 09 2421·0
2009 08 9420·5
2009 07 6520·2
2009 06 8720·1
2009 05 3620.4
2009 04 6119·5
2009 03 6119.2
2009 02 9018.1
2009 01 8117·2
2008 12 9716.9
2008 11 916·2
2008 10 9816.3
2008 09 7815.0
2008 08 5314.4
2008 07 9115·4
2008 06 2214·2
2008 05 7114·0
2008 04 511·9
2008 03 1212·4
2008 02 112·7
2008 01 2813.1
2007 12 5212.7
2007 11 511.9
2007 10 9711.7
2007 09 4512.5
2007 08 2011.6
2007 07 2511·5
2007 06 9912.0
2007 05 4011.2
2007 04 6011·1
2007 03 5610.7
2007 02 2010.9
2007 01 5810.8
2006 12 4610.6
2006 11 311·1
2006 10 9711.2
2006 09 6811·3
2006 08 7911.6
2006 07 9811·5
2006 06 9311.0
2006 05 6311·2
2006 04 8511.2
2006 03 9811.2
2006 02 9711·5
2006 01 6311·2
2005 12 1511·1
2005 11 8512.2
2005 10 2011.5
2005 09 1212.1
2005 08 4212·3
2005 07 6411.8
2005 06 212.1
2005 05 7912.4
2005 04 6813·0
2005 03 6813.1
2005 02 414.0
2005 01 5912.8
2004 12 1912.6
2004 11 5312·5
2004 10 1513.1
2004 09 7012.8
2004 08 4412·4
2004 07 112·4
2004 06 4812.7
2004 05 5713·0
2004 04 1812.8
2004 03 1912·9
2004 02 4012.1
2004 01 8812·7
2003 12 4412.6
2003 11 3813.4
2003 10 5513·2
2003 09 5913.8
2003 08 4412·7
2003 07 1414.6
2003 06 7914.1
2003 05 8714.0
2003 04 7113.6
2003 03 3012.6
2003 02 2712.8
2003 01 1812.8
2002 12 012·8
2002 11 9312.8
2002 10 3712.2
2002 09 2012.8
2002 08 3013.2
2002 07 3312.7
2002 06 7012·4
2002 05 8712.5
2002 04 8812·9
2002 03 713·6
2002 02 1412.8
2002 01 3912·9
2001 12 2313·0
2001 11 9812.9
2001 10 8412·4
2001 09 2011·1
2001 08 1212.0
2001 07 1110.8
2001 06 1611·5
2001 05 9811·0
2001 04 5310·7
2001 03 7910·7
2001 02 7410·8
2001 01 6910·5
2000 12 749·9
2000 11 579·5
2000 10 459.4
2000 09 519·4
2000 08 249·9
2000 07 289.8
2000 06 439·5
2000 05 8810.0
2000 04 789·6
2000 03 999·3
2000 02 410.1
2000 01 4910.0
1999 12 3810·4
1999 11 010·1
1999 10 9310·4
1999 09 3010.0
1999 08 289·8
1999 07 8910·4
1999 06 9710·6
1999 05 4710·3
1999 04 9910·6
1999 03 4710.1
1999 02 2810·1
1999 01 4710·8
1998 12 2610.4
1998 11 8010·3
1998 10 2610·9
1998 09 9812.1
1998 08 911.2
1998 07 2211·4
1998 06 5211.0
1998 05 9411·2
1998 04 7410·0
1998 03 2711.3
1998 02 9411·5
1998 01 5411·3
1997 12 7210·8
1997 11 7811.6
1997 10 6611.9
1997 09 2311·9
1997 08 7811.8
1997 07 8111·6
1997 06 512.1
1997 05 6910·7
1997 04 9112·1
1997 03 6912.2
1997 02 7511·9
1997 01 8712·9
1996 12 3912.1
1996 11 9712.5
1996 10 6212.1
1996 09 9511·9
1996 08 7011·8
1996 07 4713.3
1996 06 8112·5
1996 05 3913·1
1996 04 6012.9
1996 03 2713.0
1996 02 6813·0
1996 01 8712.8
1995 12 1013.0
1995 11 6712·6
1995 10 8712.8
1995 09 3312·9
1995 08 4613.4
1995 07 2412·5
1995 06 2612.4
1995 05 9712·4
1995 04 1612·0
1995 03 8011·6
1995 02 9812·0
1995 01 2212·0
1994 12 9812.1
1994 11 4111·7
1994 10 3912·3
1994 09 7812·7
1994 08 9113·1
1994 07 4013·4
1994 06 1513·0
1994 05 5813·5
1994 04 2013·9
1994 03 3213·7
1994 02 1113.6
1994 01 8314·5
1993 12 3713·2
1993 11 013.6
1993 10 4113.8
1993 09 9513.7
1993 08 1614.0
1993 07 5014·2
1993 06 4414.8
1993 05 6515.1
1993 04 5714.8
1993 03 1414.4
1993 02 8114.7
1993 01 8714.7
1992 12 8714.9
1992 11 4815.3
1992 10 4214.4
1992 09 7915·3
1992 08 5615·0
1992 07 3315.4
1992 06 3716.2
1992 05 8515.6
1992 04 3814·5
1992 03 7815·6
1992 02 715.7
1992 01 7615·1
1991 12 3515.4
1991 11 1314·5
1991 10 1314.7
1991 09 4414.9
1991 08 7214.4
1991 07 9514·8
1991 06 4314·5
1991 05 1014·1
1991 04 9913·7
1991 03 514.1
1991 02 1013.7
1991 01 1613.1
1990 12 9212.9
1990 11 5012.7
1990 10 5312.5
1990 09 3312.1
1990 08 5011.9
1990 07 6311.1
1990 06 3410.8
1990 05 5511.0
1990 04 011·3
1990 03 9810.6
1990 02 4010.9
1990 01 011·0
1989 12 9112.0
1989 11 3912·2
1989 10 8511·7
1989 09 1311.9
1989 08 011·5
1989 07 9210·5
1989 06 711.3
1989 05 6310.9
1989 04 2610·9
1989 03 889.9
1989 02 6911·3
1989 01 4412.7
1988 12 9511.1
1988 11 8410.7
1988 10 5811.7
1988 09 7611.2
1988 08 5711·4
1988 07 6111·4
1988 06 8710·9
1988 05 211.4
1988 04 8811·4
1988 03 2712·1
1988 02 9511.5
1988 01 9112.1
1987 12 8811.7
1987 11 1311.9
1987 10 4411.8
1987 09 3811.9
1987 08 8312.4
1987 07 7612·1
1987 06 2212·8
1987 05 6113·2
1987 04 2213.3
1987 03 9713.2
1987 02 4213.6
1987 01 613·3
1986 12 8213·4
1986 11 8213.2
1986 10 4113.1
1986 09 4014.4
1986 08 6213.5
1986 07 6513·9
1986 06 8314.0
1986 05 5914.3
1986 04 8914·3
1986 03 013.8
1986 02 5613.6
1986 01 8213·0
1985 12 1113·6
1985 11 7014.0
1985 10 7314·8
1985 09 5113.6
1985 08 613.9
1985 07 8214·9
1985 06 7114.1
1985 05 3814.0
1985 04 7213·6
1985 03 6614·0
1985 02 1314.3
1985 01 3514·1
1984 12 3714·3
1984 11 8113·7
1984 10 8713·9
1984 09 6214·7
1984 08 4914.5
1984 07 614.4
1984 06 613·7
1984 05 6313.6
1984 04 8515.0
1984 03 5014.8
1984 02 814.7
1984 01 715·7
1983 12 4415·7
1983 11 4316·0
1983 10 5617·3
1983 09 8917.5
1983 08 5318·7
1983 07 4318·2
1983 06 3818.6
1983 05 2719.2
1983 04 6119·5
1983 03 3119.7
1983 02 6619.9
1983 01 6519·9
1982 12 4420.5
1982 11 1320·7
1982 10 7920.1
1982 09 7419.9
1982 08 219.3
1982 07 2119·2
1982 06 3918.9
1982 05 4618.4
1982 04 6118.8
1982 03 1218·3
1982 02 3518·0
1982 01 217.6
1981 12 7217·2
1981 11 6816.9
1981 10 7915.9
1981 09 8415·4
1981 08 815.3
1981 07 9514.3
1981 06 815·7
1981 05 6316.1
1981 04 7215·2
1981 03 2415.3
1981 02 8715.5
1981 01 3215·5
1980 12 8814·5
1980 11 1315·4
1980 10 316·0
1980 09 1115.6
1980 08 616.0
1980 07 4315.9
1980 06 6815·9
1980 05 4415.5
1980 04 313·7
1980 03 2112·4
1980 02 2112·5
1980 01 012.6
1979 12 7812·0
1979 11 7811.2
1979 10 2411.7
1979 09 7211.7
1979 08 5711.5
1979 07 7111·4
1979 06 6610·8
1979 05 8111.1
1979 04 9011·1
1979 03 8111·4
1979 02 5911·5
1979 01 7011·4
1978 12 5211·9
1978 11 1611.4
1978 10 4211·5
1978 09 911·4
1978 08 4511·1
1978 07 711·6
1978 06 7610·9
1978 05 9110·9
1978 04 9312·1
1978 03 1012.6
1978 02 5112.8
1978 01 3512·4
1977 12 4711·7
1977 11 712.5
1977 10 7812·4
1977 09 8713·2
1977 08 8213·7
1977 07 613·1
1977 06 9613.7
1977 05 1513·5
1977 04 9913·5
1977 03 3613·9
1977 02 6814.3
1977 01 1313·8
1976 12 2314.9
1976 11 5615.1
1976 10 8115.1
1976 09 014·4
1976 08 414·5
1976 07 4714.5
1976 06 4814·6
1976 05 2014·7
1976 04 1715·1
1976 03 1514.6
1976 02 814.6
1976 01 4315·6
1975 12 6415·6
1975 11 9116·0
1975 10 2316.6
1975 09 6316·9
1975 08 7016·9
1975 07 3417.4
1975 06 8217.3
1975 05 9917·2
1975 04 8417.5
1975 03 2416.5
1975 02 9615.8
1975 01 9515·3
1974 12 8314·0
1974 11 6813.3
1974 10 412·3
1974 09 1912·3
1974 08 6611·5
1974 07 9711·2
1974 06 6911.3
1974 05 6810.7
1974 04 5910.3
1974 03 6910.4
1974 02 7910.7
1974 01 5810·2
1973 12 139.8
1973 11 6410·0
1973 10 469.6
1973 09 359.9
1973 08 39·8
1973 07 909·7
1973 06 89·8
1973 05 6810.3
1973 04 2910.4
1973 03 789.8
1973 02 2910·2
1973 01 509.8
1972 12 1711.1
1972 11 8511.4
1972 10 9611.6
1972 09 211.5
1972 08 1611·6
1972 07 9211·3
1972 06 2211·2
1972 05 6711.8
1972 04 412·5
1972 03 713.2
1972 02 4513·3
1972 01 1413.0
1971 12 7913·0
1971 11 6012·9
1971 10 2912.7
1971 09 3712·6
1971 08 6713.1
1971 07 812·9
1971 06 5913.4
1971 05 5613.0
1971 04 1912.3
1971 03 3312.6
1971 02 5112·5
1971 01 1413·0
1970 12 913.1
1970 11 4212·7
1970 10 4112.9
1970 09 8212·5
1970 08 3911·5
1970 07 6711·4
1970 06 9311·6
1970 05 5210·4
1970 04 3410.4
1970 03 639·2
1970 02 949·4
1970 01 448.6
1969 12 457.9
1969 11 127.9
1969 10 578.1
1969 09 38.4
1969 08 457·4
1969 07 228·3
1969 06 207.7
1969 05 977.3
1969 04 377.3
1969 03 247.6
1969 02 467·4
1969 01 217·8
1968 12 457.5
1968 11 747.5
1968 10 247·5
1968 09 937.3
1968 08 207.8
1968 07 557.9
1968 06 658·7
1968 05 587·6
1968 04 367·4
1968 03 728·2
1968 02 78·0
1968 01 857.6
1967 12 968.1
1967 11 578·6
1967 10 158.1
1967 09 687·8
1967 08 238·3
1967 07 687·9
1967 06 748·1
1967 05 268·2
1967 04 687·7
1967 03 857.2
1967 02 07·1
1967 01 47.4
1966 12 88.3
1966 11 157·4
1966 10 287·3
1966 09 707·5
1966 08 417·4
1966 07 917.1
1966 06 227·8
1966 05 198.0
1966 04 947.6
1966 03 688·2
1966 02 717.5
1966 01 707·7
1965 12 168.5
1965 11 288.1
1965 10 869.4
1965 09 669·0
1965 08 849·2
1965 07 789·5
1965 06 79.9
1965 05 789·8
1965 04 9810·5
1965 03 509.5
1965 02 9510.2
1965 01 9810.5
1964 12 8210.3
1964 11 9910.7
1964 10 3810·9
1964 09 4811·0
1964 08 8811.3
1964 07 910·5
1964 06 5011.3
1964 05 6910·7
1964 04 9111·7
1964 03 8511·5
1964 02 6911.7
1964 01 3312·0
1963 12 9111.5
1963 11 5911·9
1963 10 5711.6
1963 09 3212·2
1963 08 1312·0
1963 07 8812.4
1963 06 211.9
1963 05 8612.7
1963 04 912·4
1963 03 5312.3
1963 02 1612.6
1963 01 3911·6
1962 12 5210·6
1962 11 6111·9
1962 10 3911·1
1962 09 6010·9
1962 08 4511·8
1962 07 4410·7
1962 06 3310·8
1962 05 4311·2
1962 04 1210.9
1962 03 5811·2
1962 02 8611.6
1962 01 811·8
1961 12 312·6
1961 11 8512·1
1961 10 1012·9
1961 09 9912.5
1961 08 9413.2
1961 07 3213.4
1961 06 4313.5
1961 05 8413.5
1961 04 8614·9
1961 03 2913.7
1961 02 4913.8
1961 01 5913·3
1960 12 313.3
1960 11 3512·4
1960 10 1512·3
1960 09 4111·2
1960 08 9711.9
1960 07 3011·4
1960 06 5511·0
1960 05 7610.8
1960 04 4211·1
1960 03 2112·0
1960 02 510·0
1960 01 3110.9
1959 12 3811·6
1959 11 4011·6
1959 10 3012·0
1959 09 311·9
1959 08 1211·6
1959 07 4410.9
1959 06 1610·6
1959 05 99·9
1959 04 1410.4
1959 03 1311.3
1959 02 7712.1
1959 01 9312.5
1958 12 1912·9
1958 11 5513.0
1958 10 5114.4
1958 09 2615·4
1958 08 2714·9
1958 07 216.0
1958 06 014·7
1958 05 015.5
1958 04 6415·4
1958 03 914·7
1958 02 1214.0
1958 01 3612·9
1957 12 8111·6
1957 11 5912.7
1957 10 110·1
1957 09 779·9
1957 08 519·2
1957 07 598·9
1957 06 410.0
1957 05 939·0
1957 04 779.0
1957 03 398.5
1957 02 848.5
1957 01 779·3
1956 12 848·7
1956 11 569·6
1956 10 298·1
1956 09 487·6
1956 08 218·4
1956 07 938.6
1956 06 529·1
1956 05 529·3
1956 04 648·8
1956 03 568·1
1956 02 918·4
1956 01 578.2
1955 12 148·1
1955 11 768·4
1955 10 98·7
1955 09 568·8
1955 08 969.4
1955 07 1010·0
1955 06 929·5
1955 05 719·5
1955 04 609·5
1955 03 409·4
1955 02 569·6
1955 01 4311·1
1954 12 8211·7
1954 11 7312·2
1954 10 3611.4
1954 09 4313·3
1954 08 6213·0
1954 07 3912·0
1954 06 9710.4
1954 05 6512.6
1954 04 2612·2
1954 03 9612.6
1954 02 2612·3
1954 01 2810·6
1953 12 2310·7
1953 11 257·8
1953 10 366·8
1953 09 756·5
1953 08 306.2
1953 07 345·3
1953 06 655.6
1953 05 775·0
1953 04 476.0
1953 03 525.7
1953 02 765.1
1953 01 275.1
1952 12 986.5
1952 11 386·0
1952 10 566·2
1952 09 448·5
1952 08 356.4
1952 07 736·4
1952 06 196.1
1952 05 736·1
1952 04 336.1
1952 03 645·8
1952 02 26·2
1952 01 836.4
1951 12 925.2
1951 11 416·8
1951 10 685·7
1951 09 685·4
1951 08 385·0
1951 07 626.0
1951 06 65.6
1951 05 464·8
1951 04 215·2
1951 03 95·0
1951 02 285.4
1951 01 635.8
1950 12 176.6
1950 11 887.0
1950 10 726.5
1950 09 878.9
1950 08 258.4
1950 07 318.6
1950 06 19.4
1950 05 1210·5
1950 04 7110.8
1950 03 9311·9
1950 02 212.8
1950 01 5813·1
1949 12 612·0
1949 11 5812·4
1949 10 9014.1
1949 09 6812.2
1949 08 513·7
1949 07 3213·3
1949 06 012.3
1949 05 1312.3
1949 04 6910·9
1949 03 4510.7
1949 02 989·2
1949 01 858·6
1948 12 227·7
1948 11 567·1
1948 10 696·9
1948 09 47·5
1948 08 157.7
1948 07 457.5
1948 06 287·8
1948 05 157·6
1948 04 248·6
1948 03 2010·0
1948 02 128.6
1948 01 868·0
|
|
Click on chart to change display options.
Skip to Data /
More Chart Options
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.
|
Example 1: Get Unemployment Rates for people in Computer jobs |
|
Example 2: Get Employment Data for Workers in the "Retail Trade" Industry |
|
Example 3: Get Population Level Data for Workers |
|