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2012 04 2910·8
2012 03 2512·3
2012 02 5512.4
2012 01 7212·6
2011 12 5313·9
2011 11 7613.0
2011 10 2312·6
2011 09 513.2
2011 08 1213·4
2011 07 9513·4
2011 06 6113·7
2011 05 513.4
2011 04 5713·5
2011 03 6312·5
2011 02 8213·0
2011 01 1712.8
2010 12 6313.0
2010 11 8613.3
2010 10 2313·0
2010 09 912.6
2010 08 3013.2
2010 07 9612.9
2010 06 4811·6
2010 05 7712.3
2010 04 8413·7
2010 03 5112·6
2010 02 4312.2
2010 01 3813.2
2009 12 7512·9
2009 11 3011.9
2009 10 2312.6
2009 09 3812.5
2009 08 7811·8
2009 07 4211.8
2009 06 2511.6
2009 05 4411·4
2009 04 9411.2
2009 03 1710·4
2009 02 1110·3
2009 01 529.3
2008 12 488·8
2008 11 139·2
2008 10 719·0
2008 09 819.2
2008 08 918.9
2008 07 107·4
2008 06 167·6
2008 05 748.1
2008 04 987·4
2008 03 177·8
2008 02 846·6
2008 01 17.4
2007 12 697.1
2007 11 637·1
2007 10 397·2
2007 09 576.8
2007 08 306.3
2007 07 76.8
2007 06 696·5
2007 05 596·6
2007 04 316.1
2007 03 296·3
2007 02 856·5
2007 01 526.5
2006 12 487·6
2006 11 367.2
2006 10 276·8
2006 09 67.4
2006 08 807·2
2006 07 607.6
2006 06 577.6
2006 05 147·1
2006 04 547·9
2006 03 577·8
2006 02 637.9
2006 01 968·1
2005 12 208.4
2005 11 108.8
2005 10 577·6
2005 09 967·9
2005 08 538·2
2005 07 248·0
2005 06 798.8
2005 05 838.4
2005 04 538·9
2005 03 329.1
2005 02 899.2
2005 01 518·9
2004 12 468.8
2004 11 908.8
2004 10 789·0
2004 09 198·8
2004 08 838·8
2004 07 799.0
2004 06 568.9
2004 05 318·8
2004 04 388.7
2004 03 79.3
2004 02 638·8
2004 01 579·1
2003 12 129.2
2003 11 48·9
2003 10 619.9
2003 09 919·2
2003 08 319.8
2003 07 299·4
2003 06 389.5
2003 05 518·4
2003 04 459·2
2003 03 618.7
2003 02 79.1
2003 01 828.6
2002 12 299.3
2002 11 89·0
2002 10 68.4
2002 09 548.3
2002 08 838·5
2002 07 28.8
2002 06 988.7
2002 05 599.6
2002 04 349·3
2002 03 998.9
2002 02 708·6
2002 01 188.7
2001 12 318·4
2001 11 818.3
2001 10 358·4
2001 09 757·9
2001 08 497.1
2001 07 556·2
2001 06 326.7
2001 05 986·3
2001 04 905·5
2001 03 516·3
2001 02 245·9
2001 01 827·1
2000 12 795.5
2000 11 276.1
2000 10 975.6
2000 09 456.0
2000 08 656·4
2000 07 646.5
2000 06 656.5
2000 05 336.5
2000 04 255.9
2000 03 706.1
2000 02 676.6
2000 01 146.9
1999 12 596·8
1999 11 756·4
1999 10 646·2
1999 09 826.8
1999 08 926.9
1999 07 367.8
1999 06 456.6
1999 05 576.2
1999 04 747·0
1999 03 367·2
1999 02 237.1
1999 01 836·5
1998 12 817·0
1998 11 797·4
1998 10 357.7
1998 09 288.0
1998 08 147·6
1998 07 997·8
1998 06 447.8
1998 05 878.1
1998 04 978·4
1998 03 528.2
1998 02 398.3
1998 01 798.1
1997 12 818·3
1997 11 208·3
1997 10 328.4
1997 09 488.4
1997 08 428·5
1997 07 88.3
1997 06 619.1
1997 05 649.0
1997 04 808·7
1997 03 499.1
1997 02 899.7
1997 01 209·3
1996 12 209.6
1996 11 08.9
1996 10 49.0
1996 09 368.6
1996 08 139·1
1996 07 428.9
1996 06 188.5
1996 05 558.2
1996 04 348·6
1996 03 818.3
1996 02 707.6
1996 01 479.1
1995 12 837·7
1995 11 507.8
1995 10 238·8
1995 09 79·3
1995 08 868.7
1995 07 58·9
1995 06 648·7
1995 05 527·9
1995 04 939·3
1995 03 278·9
1995 02 68.9
1995 01 288.7
1994 12 808.6
1994 11 239·2
1994 10 889·3
1994 09 38.9
1994 08 479.3
1994 07 268.3
1994 06 729·6
1994 05 7210.1
1994 04 2010·5
1994 03 9111.5
1994 02 4510·9
1994 01 5311.5
1993 12 4810.1
1993 11 010.0
1993 10 2210·0
1993 09 9210·3
1993 08 710·5
1993 07 6010.9
1993 06 3910·9
1993 05 5610.7
1993 04 9811·0
1993 03 210.4
1993 02 6011·4
1993 01 4112·2
1992 12 4612·1
1992 11 8412.1
1992 10 7211·6
1992 09 6511.0
1992 08 112.0
1992 07 8612·0
1992 06 8912.4
1992 05 7212·4
1992 04 3912.0
1992 03 1611.5
1992 02 4811.6
1992 01 3211.3
1991 12 6011·1
1991 11 411.4
1991 10 1312·2
1991 09 3810·6
1991 08 9010·5
1991 07 99·5
1991 06 7010.5
1991 05 1111·0
1991 04 7810.4
1991 03 1010.3
1991 02 3410·0
1991 01 9310·1
1990 12 110.4
1990 11 1610·0
1990 10 4110.1
1990 09 5510·2
1990 08 599.9
1990 07 579.6
1990 06 558.8
1990 05 899·3
1990 04 769.4
1990 03 909·6
1990 02 649·8
1990 01 179·5
1989 12 49·6
1989 11 9710.0
1989 10 8010.0
1989 09 809.6
1989 08 189·6
1989 07 859·9
1989 06 4210.3
1989 05 509.6
1989 04 199.0
1989 03 859.6
1989 02 1210.3
1989 01 1910.3
1988 12 3110·0
1988 11 539.6
1988 10 789·8
1988 09 79.7
1988 08 410.1
1988 07 7210.3
1988 06 5410.5
1988 05 5910.7
1988 04 1611.2
1988 03 4811.2
1988 02 7610·4
1988 01 4210·9
1987 12 6510·7
1987 11 1310.8
1987 10 811·1
1987 09 5211.9
1987 08 7711.5
1987 07 2311.3
1987 06 3811.3
1987 05 811.6
1987 04 311.5
1987 03 6012.9
1987 02 7912.6
1987 01 5312.4
1986 12 1812·1
1986 11 3112.7
1986 10 6912.5
1986 09 5712·4
1986 08 2312·6
1986 07 6712.1
1986 06 6912·9
1986 05 1412.7
1986 04 4212·5
1986 03 2512·2
1986 02 7012·3
1986 01 4412·0
1985 12 2612·5
1985 11 8613.7
1985 10 8212.2
1985 09 8913.4
1985 08 5113·1
1985 07 5813.2
1985 06 4412·7
1985 05 2013·4
1985 04 1713.2
1985 03 7113·0
1985 02 2013.6
1985 01 3013.1
1984 12 4913·0
1984 11 8313.4
1984 10 9613.5
1984 09 3912·3
1984 08 9813.7
1984 07 7513.8
1984 06 8712.8
1984 05 9113.4
1984 04 3913.6
1984 03 5413.8
1984 02 2914·2
1984 01 5415·0
1983 12 7316·0
1983 11 5115.1
1983 10 8515.7
1983 09 2415.8
1983 08 2416·1
1983 07 2316.0
1983 06 4417·4
1983 05 1916.9
1983 04 4417·0
1983 03 5217·6
1983 02 1816·8
1983 01 8418.2
1982 12 716.7
1982 11 4416·5
1982 10 4616·2
1982 09 8615·6
1982 08 1515·3
1982 07 3215.6
1982 06 9015·2
1982 05 2215.1
1982 04 9215·4
1982 03 7015·0
1982 02 3814.4
1982 01 913.7
1981 12 8914.2
1981 11 4213·6
1981 10 213.9
1981 09 9314·0
1981 08 8113·9
1981 07 5413·2
1981 06 2213.5
1981 05 4113.0
1981 04 6812·7
1981 03 3713.3
1981 02 5912·9
1981 01 4812.6
1980 12 7713.5
1980 11 4913·3
1980 10 213.0
1980 09 3410·9
1980 08 5711·6
1980 07 7012.3
1980 06 6311·8
1980 05 4312.1
1980 04 8411·8
1980 03 810·9
1980 02 8110.4
1980 01 4310·5
1979 12 5810·4
1979 11 9410·2
1979 10 1810.7
1979 09 2810·7
1979 08 511·4
1979 07 8410·9
1979 06 6211.2
1979 05 1910·8
1979 04 7511.1
1979 03 6110·8
1979 02 2611.5
1979 01 5911.4
1978 12 4310.8
1978 11 3111·1
1978 10 4810·5
1978 09 1710.8
1978 08 1010.8
1978 07 2612.1
1978 06 9111.5
1978 05 8711.5
1978 04 111.0
1978 03 111.4
1978 02 4311·1
1978 01 8911.7
1977 12 6612.0
1977 11 4013.3
1977 10 1612.2
1977 09 6612·4
1977 08 8212.3
1977 07 4811·5
1977 06 4911·9
1977 05 8811·8
1977 04 4812·5
1977 03 5812·6
1977 02 413·4
1977 01 4912.0
1976 12 8912·0
1976 11 2511·2
1976 10 6911·9
1976 09 6811.7
1976 08 5712·2
1976 07 3212·2
1976 06 5811.8
1976 05 9010.7
1976 04 2611·5
1976 03 8511·0
1976 02 812·5
1976 01 8211·9
1975 12 9711·4
1975 11 1611.8
1975 10 8112·4
1975 09 4012·7
1975 08 9512·9
1975 07 8111.5
1975 06 6712·2
1975 05 8312.8
1975 04 7112.4
1975 03 6212·5
1975 02 7712.0
1975 01 5411.3
1974 12 011.1
1974 11 6610·5
1974 10 509·6
1974 09 238·9
1974 08 828.3
1974 07 248·6
1974 06 488.0
1974 05 858.2
1974 04 448.0
1974 03 937.4
1974 02 608·1
1974 01 578.3
1973 12 348.6
1973 11 558·8
1973 10 987.6
1973 09 858·4
1973 08 298·3
1973 07 168·6
1973 06 09·1
1973 05 378.4
1973 04 298.9
1973 03 88.9
1973 02 309·0
1973 01 88·6
1972 12 607.6
1972 11 878.7
1972 10 749·9
1972 09 169·5
1972 08 719.2
1972 07 368·8
1972 06 469.7
1972 05 79.1
1972 04 398·2
1972 03 609·4
1972 02 848·9
1972 01 489.3
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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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