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2012 04 8016·8
2012 03 8216·8
2012 02 5516·0
2012 01 5221·2
2011 12 5119.1
2011 11 3016.6
2011 10 7016·2
2011 09 8219.7
2011 08 5816·8
2011 07 4619.1
2011 06 5524·7
2011 05 7918.8
2011 04 4917.4
2011 03 1014.1
2011 02 2214.7
2011 01 8821·1
2010 12 216·3
2010 11 3017.1
2010 10 1016.6
2010 09 7718.0
2010 08 1617.6
2010 07 3820.2
2010 06 8220.0
2010 05 4118·7
2010 04 1615·6
2010 03 8915·7
2010 02 2416.8
2010 01 020·6
2009 12 5418·1
2009 11 6515.9
2009 10 5119.9
2009 09 9617.6
2009 08 419·1
2009 07 7423·0
2009 06 9924.5
2009 05 022·2
2009 04 6721·2
2009 03 4621.4
2009 02 3323.2
2009 01 431.8
2008 12 6824.9
2008 11 3828·6
2008 10 3928.3
2008 09 3028.1
2008 08 5831·6
2008 07 3330.1
2008 06 3135.0
2008 05 2036.0
2008 04 1128·9
2008 03 3631·7
2008 02 4733.3
2008 01 4433·3
2007 12 2933.2
2007 11 7935·1
2007 10 4931·7
2007 09 9635.9
2007 08 3735·0
2007 07 2034·1
2007 06 2542·5
2007 05 9535.9
2007 04 8533.4
2007 03 3834·1
2007 02 8833·3
2007 01 8635·2
2006 12 4932.0
2006 11 4333.2
2006 10 7736.1
2006 09 3636.6
2006 08 2832.6
2006 07 6339·9
2006 06 5444·4
2006 05 4136.4
2006 04 4934.5
2006 03 5834·3
2006 02 632·8
2006 01 2035.5
2005 12 6231.5
2005 11 734.2
2005 10 4834.2
2005 09 1736·2
2005 08 4230·6
2005 07 1835.4
2005 06 1641.0
2005 05 136·1
2005 04 8929.8
2005 03 2329.0
2005 02 7429.6
2005 01 6533.3
2004 12 2929.0
2004 11 7829.4
2004 10 932.9
2004 09 3034·7
2004 08 1228·1
2004 07 6434·1
2004 06 3435·0
2004 05 4033.7
2004 04 1430.0
2004 03 8827.9
2004 02 8827.6
2004 01 6230·4
2003 12 3625.7
2003 11 8328.6
2003 10 3329.3
2003 09 9330·5
2003 08 130·7
2003 07 430.7
2003 06 5734·9
2003 05 5036.9
2003 04 6229·5
2003 03 3427.9
2003 02 7329.5
2003 01 7833.3
2002 12 9229·5
2002 11 7829·8
2002 10 1831·9
2002 09 4635.0
2002 08 9432.2
2002 07 6933·9
2002 06 5735·5
2002 05 4932·5
2002 04 9130.8
2002 03 6231.5
2002 02 7633.3
2002 01 539.4
2001 12 3533.6
2001 11 4138·3
2001 10 8839·0
2001 09 5839·0
2001 08 140.8
2001 07 1143·6
2001 06 3250·5
2001 05 7845.0
2001 04 8843·4
2001 03 536·1
2001 02 7042·0
2001 01 5944·1
2000 12 2439·5
2000 11 7842·8
2000 10 9142.1
2000 09 1942.7
2000 08 5740.3
2000 07 1244·8
2000 06 652·9
2000 05 445·7
2000 04 6440·3
2000 03 1443.0
2000 02 5442·6
2000 01 8246.5
1999 12 4442.4
1999 11 1643.2
1999 10 9844·1
1999 09 4745·8
1999 08 2441·4
1999 07 7444.0
1999 06 2649.9
1999 05 1943.8
1999 04 5341·6
1999 03 7036·1
1999 02 5135.6
1999 01 4144·1
1998 12 736.3
1998 11 1140.8
1998 10 943.2
1998 09 8340·7
1998 08 8741.5
1998 07 2841.4
1998 06 6645.9
1998 05 3942·9
1998 04 1741.6
1998 03 7838.2
1998 02 738·5
1998 01 2845.8
1997 12 4837.6
1997 11 4238.3
1997 10 4740·1
1997 09 9437·9
1997 08 5637.0
1997 07 2734.6
1997 06 2338·5
1997 05 736·9
1997 04 4130·8
1997 03 6634.4
1997 02 9831·9
1997 01 5941·6
1996 12 2832·3
1996 11 1337·7
1996 10 6033.6
1996 09 7237.4
1996 08 6734.3
1996 07 5239.4
1996 06 2144.6
1996 05 8840·0
1996 04 3531.2
1996 03 8828·3
1996 02 2031.8
1996 01 7741.2
1995 12 3129.5
1995 11 5433·4
1995 10 2038.0
1995 09 3440.1
1995 08 8137.6
1995 07 537·0
1995 06 844·5
1995 05 7634·7
1995 04 3533·4
1995 03 2432·5
1995 02 9732·5
1995 01 4941.1
1994 12 6931.6
1994 11 1834.1
1994 10 2532·1
1994 09 2136·5
1994 08 8333.3
1994 07 1738.0
1994 06 5639·8
1994 05 8635·9
1994 04 230.8
1994 03 7928.9
1994 02 7627.8
1994 01 6540.2
1993 12 7735·8
1993 11 8536·3
1993 10 037.0
1993 09 038.3
1993 08 8336.0
1993 07 4239.0
1993 06 6440.1
1993 05 6139·0
1993 04 2137·1
1993 03 8133.9
1993 02 3235·5
1993 01 4338·3
1992 12 1633·4
1992 11 5936·4
1992 10 9135·7
1992 09 6438·5
1992 08 1837.8
1992 07 5838·2
1992 06 5540.3
1992 05 6838·2
1992 04 333·9
1992 03 8534·2
1992 02 6132.5
1992 01 2438.5
1991 12 7136.4
1991 11 7039·6
1991 10 7241.2
1991 09 2846.7
1991 08 4742.2
1991 07 7242·5
1991 06 7646·6
1991 05 9745·7
1991 04 8340.0
1991 03 7039.0
1991 02 8643.8
1991 01 7646·9
1990 12 5242.7
1990 11 7245.5
1990 10 4147.1
1990 09 3548·6
1990 08 5751.3
1990 07 1047.9
1990 06 251.5
1990 05 6648·5
1990 04 2147·1
1990 03 4146.5
1990 02 5748.2
1990 01 9152.5
1989 12 9647.0
1989 11 4552·8
1989 10 2053.2
1989 09 5155·6
1989 08 5750·9
1989 07 2950·3
1989 06 2954·3
1989 05 1851.5
1989 04 446·4
1989 03 2646·2
1989 02 4649.6
1989 01 8448.3
1988 12 6344·0
1988 11 9150.9
1988 10 5951·7
1988 09 6956·5
1988 08 8449.3
1988 07 749.6
1988 06 8254.4
1988 05 1748.1
1988 04 4247·4
1988 03 8040·5
1988 02 5143·0
1988 01 9850.7
1987 12 3843·6
1987 11 4246.9
1987 10 3047·4
1987 09 551.3
1987 08 9747.1
1987 07 4949.1
1987 06 749·0
1987 05 5747.3
1987 04 7042.9
1987 03 8341·4
1987 02 9540·5
1987 01 9946.4
1986 12 3239·2
1986 11 5043.1
1986 10 3145·3
1986 09 047.0
1986 08 8444·9
1986 07 8343·8
1986 06 7947·8
1986 05 5443.0
1986 04 5043.3
1986 03 3840.7
1986 02 2641·4
1986 01 8047.2
1985 12 8139.8
1985 11 9644.8
1985 10 8546.1
1985 09 2248.9
1985 08 5346.3
1985 07 6546.1
1985 06 9448.4
1985 05 5043·7
1985 04 6542·6
1985 03 7542.4
1985 02 1740·2
1985 01 5747·1
1984 12 4436.4
1984 11 8442.9
1984 10 4045·7
1984 09 6346·2
1984 08 4045.6
1984 07 7344.0
1984 06 7743·8
1984 05 1241.5
1984 04 2839.7
1984 03 4836·9
1984 02 6637·2
1984 01 7240.7
1983 12 839.6
1983 11 4241·7
1983 10 6941·0
1983 09 3945·2
1983 08 739.6
1983 07 1138·4
1983 06 7540·5
1983 05 3136.9
1983 04 7331·9
1983 03 3732.1
1983 02 9634.2
1983 01 9237·4
1982 12 8433.9
1982 11 2635·9
1982 10 7138.1
1982 09 9243·1
1982 08 3839·8
1982 07 1040·3
1982 06 6140.1
1982 05 2439.7
1982 04 6239·4
1982 03 4638.2
1982 02 5637·8
1982 01 848·1
1981 12 639.9
1981 11 1545·4
1981 10 6846.2
1981 09 8849·4
1981 08 4443.7
1981 07 2344.9
1981 06 3446·6
1981 05 3442.8
1981 04 7939.5
1981 03 441.1
1981 02 1837.8
1981 01 3847·2
1980 12 3538.4
1980 11 1241·2
1980 10 847·1
1980 09 2147·7
1980 08 6245·4
1980 07 3044·4
1980 06 1649.8
1980 05 2647.9
1980 04 3546·2
1980 03 6546.7
1980 02 8145.9
1980 01 2352.4
1979 12 5742·4
1979 11 4749·8
1979 10 6450.5
1979 09 653·3
1979 08 5052·5
1979 07 3549·2
1979 06 5555.6
1979 05 9348.5
1979 04 6746·2
1979 03 943.6
1979 02 6646.8
1979 01 3048·3
1978 12 8245·0
1978 11 7549·9
1978 10 3548.2
1978 09 8555.5
1978 08 9547·5
1978 07 6751·8
1978 06 2551.7
1978 05 5249·6
1978 04 3343.1
1978 03 3942·8
1978 02 2442.5
1978 01 5046·0
1977 12 4640.1
1977 11 7544.5
1977 10 4445.8
1977 09 2547·8
1977 08 841.3
1977 07 8042.4
1977 06 2348·2
1977 05 4440.9
1977 04 2141.3
1977 03 8737·9
1977 02 2638·7
1977 01 143·0
1976 12 935.2
1976 11 5137·4
1976 10 3842.5
1976 09 1749.3
1976 08 2440.2
1976 07 5442.0
1976 06 7342·3
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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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