Link to Series in Level 1 Subscription Site
Link to Series in Level 2 Subscription Site
Link to Series in Level 0 Subscription Site
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1982 01 735·5
1982 02 326.8
1982 03 197·8
1982 04 188·8
1982 05 377·7
1982 06 876·6
1982 07 806·7
1982 08 579·1
1982 09 438.6
1982 10 168·1
1982 11 178.4
1982 12 719.4
1983 01 409.7
1983 02 09·0
1983 03 439·7
1983 04 29·2
1983 05 49.6
1983 06 457·6
1983 07 956·7
1983 08 207·8
1983 09 357·7
1983 10 847.6
1983 11 377·6
1983 12 198·0
1984 01 606.7
1984 02 737·2
1984 03 579.3
1984 04 187·5
1984 05 276·9
1984 06 946.0
1984 07 675.4
1984 08 626.1
1984 09 145·6
1984 10 535·8
1984 11 55.9
1984 12 197·1
1985 01 196·4
1985 02 828·6
1985 03 347.4
1985 04 847.7
1985 05 697·5
1985 06 374.9
1985 07 425.0
1985 08 756·9
1985 09 145.0
1985 10 16·0
1985 11 436.4
1985 12 386·5
1986 01 296.1
1986 02 806.3
1986 03 738·1
1986 04 417.0
1986 05 156.5
1986 06 55·3
1986 07 954.9
1986 08 775·4
1986 09 975.1
1986 10 335.1
1986 11 997·1
1986 12 685·6
1987 01 257·2
1987 02 466·9
1987 03 966.7
1987 04 556.9
1987 05 755.0
1987 06 514·8
1987 07 245·0
1987 08 95·1
1987 09 474.4
1987 10 784.5
1987 11 464.8
1987 12 256·9
1988 01 676·2
1988 02 866·5
1988 03 516·6
1988 04 205·6
1988 05 855·7
1988 06 544·2
1988 07 515·0
1988 08 394.4
1988 09 764·3
1988 10 914·7
1988 11 834.7
1988 12 515·6
1989 01 415·2
1989 02 274·5
1989 03 124.9
1989 04 504.9
1989 05 54.9
1989 06 204·2
1989 07 244·9
1989 08 564.8
1989 09 194·0
1989 10 504·1
1989 11 334.0
1989 12 134.2
1990 01 574.4
1990 02 264.4
1990 03 764·4
1990 04 904.8
1990 05 214.7
1990 06 774·5
1990 07 174·4
1990 08 804·3
1990 09 354·0
1990 10 614·8
1990 11 434·1
1990 12 35.3
1991 01 515.3
1991 02 606.2
1991 03 677·2
1991 04 46·7
1991 05 435·7
1991 06 795.6
1991 07 274.2
1991 08 515.3
1991 09 125.9
1991 10 525·9
1991 11 875·9
1991 12 387.3
1992 01 846.9
1992 02 348.7
1992 03 339.1
1992 04 859.8
1992 05 88·3
1992 06 75·4
1992 07 786·2
1992 08 357·7
1992 09 606.4
1992 10 777.4
1992 11 627.5
1992 12 598·8
1993 01 408·4
1993 02 778·1
1993 03 469.4
1993 04 509·7
1993 05 748.6
1993 06 636·5
1993 07 185·9
1993 08 267.4
1993 09 137.3
1993 10 176.5
1993 11 927.1
1993 12 338.6
1994 01 319·0
1994 02 459·9
1994 03 411·5
1994 04 4010·8
1994 05 2910.8
1994 06 788.9
1994 07 198·6
1994 08 409.1
1994 09 338.9
1994 10 7510.1
1994 11 248·7
1994 12 538·7
1995 01 928.7
1995 02 1510.3
1995 03 329·7
1995 04 2211.0
1995 05 839·1
1995 06 66·5
1995 07 808.0
1995 08 188·2
1995 09 57.7
1995 10 807.7
1995 11 337·3
1995 12 348.3
1996 01 849·0
1996 02 939·7
1996 03 7610.5
1996 04 8911.0
1996 05 719·7
1996 06 267.7
1996 07 248·5
1996 08 278.3
1996 09 408.0
1996 10 878.3
1996 11 156.4
1996 12 187.7
1997 01 928·2
1997 02 79.1
1997 03 108.6
1997 04 5611·0
1997 05 537·9
1997 06 426·1
1997 07 997.5
1997 08 608.1
1997 09 737·2
1997 10 757·2
1997 11 946.8
1997 12 747.1
1998 01 277.1
1998 02 127·2
1998 03 326.8
1998 04 668.2
1998 05 164.8
1998 06 846·7
1998 07 787·4
1998 08 327·0
1998 09 657·7
1998 10 495·0
1998 11 185·7
1998 12 916.0
1999 01 246·8
1999 02 878·1
1999 03 657.7
1999 04 866·1
1999 05 697.0
1999 06 64·6
1999 07 584.2
1999 08 875·6
1999 09 15.7
1999 10 376.4
1999 11 605·4
1999 12 874.6
2000 01 445.8
2000 02 376·9
2000 03 577.1
2000 04 75·6
2000 05 496.1
2000 06 874.3
2000 07 645.0
2000 08 896.6
2000 09 924·4
2000 10 944·5
2000 11 185.8
2000 12 46·2
2001 01 725.0
2001 02 906·5
2001 03 817·6
2001 04 466·2
2001 05 165·2
2001 06 324·0
2001 07 435·2
2001 08 325·5
2001 09 736·9
2001 10 06·9
2001 11 156·8
2001 12 97·9
2002 01 197·4
2002 02 28.4
2002 03 357.9
2002 04 448·7
2002 05 557.6
2002 06 697·4
2002 07 677.3
2002 08 327.9
2002 09 58·9
2002 10 598·4
2002 11 998·1
2002 12 937·8
2003 01 218.2
2003 02 518·1
2003 03 429·0
2003 04 6910.0
2003 05 778.4
2003 06 547.2
2003 07 368·1
2003 08 329.0
2003 09 748.2
2003 10 998.3
2003 11 438·6
2003 12 739.9
2004 01 389.5
2004 02 429.8
2004 03 5011·5
2004 04 139.7
2004 05 189.2
2004 06 657·9
2004 07 727.7
2004 08 968.0
2004 09 908·7
2004 10 757·7
2004 11 457·4
2004 12 917.1
2005 01 557·5
2005 02 47·5
2005 03 339·1
2005 04 929.3
2005 05 388.8
2005 06 75·7
2005 07 237.8
2005 08 197·6
2005 09 897·5
2005 10 677·6
2005 11 297·3
2005 12 146·7
2006 01 837·5
2006 02 918.2
2006 03 889.1
2006 04 487·9
2006 05 227·7
2006 06 95.7
2006 07 625·9
2006 08 155·9
2006 09 305·4
2006 10 797.2
2006 11 426.1
2006 12 344·5
2007 01 587·2
2007 02 826·8
2007 03 378·9
2007 04 488.9
2007 05 827·1
2007 06 255·8
2007 07 886·2
2007 08 287.1
2007 09 17.9
2007 10 407·4
2007 11 577.6
2007 12 666·5
2008 01 406.7
2008 02 838·1
2008 03 318.0
2008 04 849.4
2008 05 527.7
2008 06 357·1
2008 07 238.7
2008 08 238·0
2008 09 109.2
2008 10 410·0
2008 11 728.3
2008 12 549.3
2009 01 159·1
2009 02 2110.7
2009 03 4011·4
2009 04 7113.4
2009 05 9314.0
2009 06 4314·6
2009 07 1614.3
2009 08 9314.1
2009 09 9414·1
2009 10 5116.5
2009 11 1118.6
2009 12 6416.9
2010 01 9416·0
2010 02 5216·8
2010 03 6518.9
2010 04 5423·5
2010 05 9221.7
2010 06 7819.5
2010 07 3918·6
2010 08 5519.0
2010 09 1419·3
2010 10 8519.8
2010 11 2217.1
2010 12 8816·7
2011 01 1117·8
2011 02 5517.9
2011 03 2618·9
2011 04 9722.2
2011 05 5821.0
2011 06 9515·7
2011 07 9017.6
2011 08 5015·9
2011 09 5519·1
2011 10 3517·8
2011 11 7718·9
2011 12 4217·7
2012 01 2716·7
2012 02 3415.4
2012 03 7316.8
2012 04 9318.7
2012 05 2619.4
2012 06 7214·3
2012 07 9313.7
2012 08 4517·0
2012 09 2718·3
2012 10 5619·0
2012 11 7417·1
2012 12 6914·9
2013 01 2912·4
2013 02 1813.5
2013 03 7915.0
2013 04 5817.9
2013 05 5818·1
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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
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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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