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2012 04 3412·1
2012 03 7013·0
2012 02 113.3
2012 01 5112.7
2011 12 6414.8
2011 11 8814·6
2011 10 7214.2
2011 09 9714·8
2011 08 2315.6
2011 07 6715.1
2011 06 715.2
2011 05 515·3
2011 04 6115·2
2011 03 8914.6
2011 02 1814.6
2011 01 1814·6
2010 12 5414.8
2010 11 6014.9
2010 10 4314.6
2010 09 514·9
2010 08 215.0
2010 07 1214.7
2010 06 4514.3
2010 05 6114·5
2010 04 3015.5
2010 03 215·7
2010 02 1214.9
2010 01 515·3
2009 12 8914·8
2009 11 1114·3
2009 10 5614.9
2009 09 8014.3
2009 08 5414.1
2009 07 4513.8
2009 06 1713.8
2009 05 5713·8
2009 04 2613.9
2009 03 3712.7
2009 02 5612·5
2009 01 2811.7
2008 12 3011·2
2008 11 4310.8
2008 10 6210.4
2008 09 1410.5
2008 08 169.7
2008 07 458.9
2008 06 478.5
2008 05 598·5
2008 04 597.8
2008 03 498.1
2008 02 507·2
2008 01 317.8
2007 12 617·8
2007 11 887.6
2007 10 337·7
2007 09 247.1
2007 08 476·6
2007 07 167·2
2007 06 837·3
2007 05 597·3
2007 04 667·1
2007 03 187·5
2007 02 157·0
2007 01 787.0
2006 12 957·5
2006 11 987·6
2006 10 667.5
2006 09 527·8
2006 08 337·8
2006 07 888.3
2006 06 987.8
2006 05 747·9
2006 04 78·3
2006 03 468.1
2006 02 08·3
2006 01 637.9
2005 12 668·5
2005 11 539.2
2005 10 858·0
2005 09 648.3
2005 08 868.4
2005 07 158.1
2005 06 909.1
2005 05 468·7
2005 04 679·0
2005 03 659·2
2005 02 799·9
2005 01 29·6
2004 12 359·7
2004 11 589·6
2004 10 389·6
2004 09 539.4
2004 08 399·6
2004 07 779.7
2004 06 829·1
2004 05 419·1
2004 04 579·0
2004 03 279·4
2004 02 489.0
2004 01 379.3
2003 12 879.2
2003 11 429.3
2003 10 9910·1
2003 09 3410·0
2003 08 5510·1
2003 07 769·8
2003 06 2210.3
2003 05 529.7
2003 04 129·8
2003 03 139·2
2003 02 319·7
2003 01 349·5
2002 12 339.9
2002 11 589.6
2002 10 649.0
2002 09 508.7
2002 08 188.7
2002 07 449.0
2002 06 839·4
2002 05 949.2
2002 04 939·3
2002 03 269·3
2002 02 778.7
2002 01 868.8
2001 12 88·7
2001 11 878·4
2001 10 578·3
2001 09 687·8
2001 08 398.0
2001 07 347.0
2001 06 637·2
2001 05 117.0
2001 04 866.7
2001 03 977·0
2001 02 576·3
2001 01 87·0
2000 12 746.2
2000 11 336.4
2000 10 276.2
2000 09 796.3
2000 08 536·7
2000 07 256·6
2000 06 856·7
2000 05 686·8
2000 04 06·2
2000 03 786.4
2000 02 717·0
2000 01 447·3
1999 12 156·8
1999 11 256.7
1999 10 466·9
1999 09 17.1
1999 08 226·6
1999 07 227·6
1999 06 986·5
1999 05 586.4
1999 04 736·7
1999 03 506·6
1999 02 416·9
1999 01 606·3
1998 12 426.8
1998 11 177.2
1998 10 127·2
1998 09 757·6
1998 08 307.5
1998 07 548·2
1998 06 747.6
1998 05 977.5
1998 04 638.0
1998 03 178·0
1998 02 158.0
1998 01 478·0
1997 12 918·3
1997 11 898·0
1997 10 488.3
1997 09 678·1
1997 08 898.1
1997 07 758.2
1997 06 119·3
1997 05 278·7
1997 04 578·7
1997 03 89·1
1997 02 669.2
1997 01 229·2
1996 12 229·0
1996 11 449.2
1996 10 39.1
1996 09 709.1
1996 08 338·8
1996 07 659.1
1996 06 329·0
1996 05 168.8
1996 04 669·1
1996 03 789.2
1996 02 938.7
1996 01 289.1
1995 12 218.5
1995 11 138.2
1995 10 498·4
1995 09 19·3
1995 08 239·2
1995 07 289.1
1995 06 868·9
1995 05 538·3
1995 04 249.1
1995 03 58.3
1995 02 198.5
1995 01 308·9
1994 12 988·4
1994 11 499.4
1994 10 849.5
1994 09 09.2
1994 08 459.8
1994 07 939.3
1994 06 459.8
1994 05 5810.2
1994 04 9210·4
1994 03 9411·0
1994 02 9011.5
1994 01 2211·8
1993 12 8910.2
1993 11 3211·0
1993 10 3210·5
1993 09 3611.0
1993 08 1011.1
1993 07 1511·3
1993 06 811.8
1993 05 7011.6
1993 04 5712.1
1993 03 7411·9
1993 02 8211.9
1993 01 1812·5
1992 12 5412·7
1992 11 6612·4
1992 10 4012.6
1992 09 012·1
1992 08 5212.7
1992 07 7212.8
1992 06 9713·0
1992 05 5813.2
1992 04 2712.7
1992 03 012.7
1992 02 9012.7
1992 01 6312·1
1991 12 7911·6
1991 11 8011.2
1991 10 8211·8
1991 09 810.7
1991 08 3311.0
1991 07 7010.6
1991 06 6111.3
1991 05 1211.7
1991 04 4011·2
1991 03 5110·8
1991 02 4010·8
1991 01 2110·4
1990 12 7510·9
1990 11 2910·9
1990 10 5610.8
1990 09 210·9
1990 08 3810·3
1990 07 3710·0
1990 06 739.1
1990 05 519.4
1990 04 569·6
1990 03 319·7
1990 02 789.8
1990 01 859·9
1989 12 7710.2
1989 11 9210·2
1989 10 8410·1
1989 09 509·8
1989 08 789·7
1989 07 289.7
1989 06 309.9
1989 05 149·6
1989 04 599.5
1989 03 699·7
1989 02 7810·3
1989 01 7210.2
1988 12 459·9
1988 11 739·6
1988 10 159.7
1988 09 439·4
1988 08 889·9
1988 07 2110.0
1988 06 5610·3
1988 05 7010.7
1988 04 6110.8
1988 03 2011.1
1988 02 3710.6
1988 01 2410.5
1987 12 6610.4
1987 11 210·5
1987 10 2210·6
1987 09 9711·2
1987 08 2811.2
1987 07 2211·4
1987 06 9911·4
1987 05 1011·9
1987 04 9711·2
1987 03 6412·1
1987 02 8012.1
1987 01 712·3
1986 12 4912.0
1986 11 3212.8
1986 10 313·0
1986 09 5513.1
1986 08 8413.0
1986 07 6012.6
1986 06 3113.1
1986 05 5112·7
1986 04 2812·7
1986 03 312.4
1986 02 5312.5
1986 01 1212.5
1985 12 3112.9
1985 11 4413·6
1985 10 8013·0
1985 09 8413·3
1985 08 6712.6
1985 07 8913.1
1985 06 5212.5
1985 05 3513·3
1985 04 3913·3
1985 03 6913.2
1985 02 3013·7
1985 01 5813.1
1984 12 7113.3
1984 11 4113·0
1984 10 313.4
1984 09 7512·9
1984 08 1314·0
1984 07 8714·8
1984 06 8313·8
1984 05 2813·7
1984 04 4114·5
1984 03 1414.6
1984 02 914.2
1984 01 8615.2
1983 12 5515.6
1983 11 5315.3
1983 10 4315.9
1983 09 4416.4
1983 08 8117·2
1983 07 6117.2
1983 06 7318.2
1983 05 2218.2
1983 04 6918.3
1983 03 1918.4
1983 02 1318.0
1983 01 6219·3
1982 12 9518.7
1982 11 3418·0
1982 10 9918.0
1982 09 3517.5
1982 08 5816·4
1982 07 3816.4
1982 06 9616·1
1982 05 3416·0
1982 04 8416·0
1982 03 8715·7
1982 02 9015·5
1982 01 7915·2
1981 12 2415·2
1981 11 6314·6
1981 10 9514·2
1981 09 1314·0
1981 08 5413.8
1981 07 7313·0
1981 06 4813·6
1981 05 613·0
1981 04 7212.3
1981 03 4812·9
1981 02 1312·6
1981 01 5212.1
1980 12 512.7
1980 11 4513·1
1980 10 7712.9
1980 09 7012.5
1980 08 412.6
1980 07 4513.1
1980 06 5412.6
1980 05 512·3
1980 04 4311.9
1980 03 5610.7
1980 02 8010.5
1980 01 2510·7
1979 12 2210·0
1979 11 89·7
1979 10 2010·0
1979 09 249·6
1979 08 6910.2
1979 07 5910·0
1979 06 609·9
1979 05 2210.0
1979 04 3210.3
1979 03 9010·4
1979 02 1510.7
1979 01 6310.3
1978 12 8710·1
1978 11 810.2
1978 10 219·6
1978 09 169·6
1978 08 349·9
1978 07 4410.4
1978 06 4110·2
1978 05 7410·3
1978 04 010·2
1978 03 5610·3
1978 02 6410·4
1978 01 5911.2
1977 12 3411·0
1977 11 2411.9
1977 10 312.0
1977 09 1211.9
1977 08 1112.2
1977 07 5511.1
1977 06 9411·1
1977 05 411.2
1977 04 3310·6
1977 03 8111.5
1977 02 211.9
1977 01 2911·4
1976 12 2411·8
1976 11 5911·6
1976 10 1411.5
1976 09 511.2
1976 08 3511.5
1976 07 7011.8
1976 06 4311·7
1976 05 7710·5
1976 04 4111.2
1976 03 2111.1
1976 02 2612·2
1976 01 1511·9
1975 12 4312.2
1975 11 4312.4
1975 10 2812.4
1975 09 1113.0
1975 08 6512·7
1975 07 9412·0
1975 06 3512.7
1975 05 8612·7
1975 04 6012·7
1975 03 5412.5
1975 02 6011·8
1975 01 8411·2
1974 12 110·5
1974 11 319.7
1974 10 428·9
1974 09 738.3
1974 08 897.8
1974 07 567.4
1974 06 437.6
1974 05 477·3
1974 04 507.3
1974 03 857.1
1974 02 517·4
1974 01 277·2
1973 12 336·8
1973 11 17·1
1973 10 796.7
1973 09 567·1
1973 08 157·1
1973 07 107·4
1973 06 657.4
1973 05 37.3
1973 04 967·5
1973 03 447·3
1973 02 727·2
1973 01 627.0
1972 12 16·7
1972 11 597·4
1972 10 888.1
1972 09 538·1
1972 08 818·1
1972 07 378·2
1972 06 257·9
1972 05 207.9
1972 04 117·3
1972 03 848·1
1972 02 228.2
1972 01 318·7
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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 |
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Example 3: Get Population Level Data for Workers |
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