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1976 06 741·8
1976 07 441·8
1976 08 821·8
1976 09 281·8
1976 10 461.7
1976 11 31.8
1976 12 671·9
1977 01 371.8
1977 02 911·8
1977 03 671·7
1977 04 601.8
1977 05 511·7
1977 06 591·8
1977 07 171.7
1977 08 721.8
1977 09 141·7
1977 10 261·8
1977 11 611.9
1977 12 431.7
1978 01 961·7
1978 02 911.7
1978 03 291·7
1978 04 341.7
1978 05 891·7
1978 06 811.7
1978 07 781·6
1978 08 341.7
1978 09 141·8
1978 10 451·7
1978 11 901.7
1978 12 561·7
1979 01 151.8
1979 02 591.7
1979 03 721.7
1979 04 371·7
1979 05 611.7
1979 06 231.8
1979 07 551·8
1979 08 411·8
1979 09 451·7
1979 10 631.8
1979 11 951·7
1979 12 551·7
1980 01 881.7
1980 02 291.8
1980 03 761.8
1980 04 921·8
1980 05 321·7
1980 06 961·7
1980 07 21.8
1980 08 901.8
1980 09 481·8
1980 10 661.7
1980 11 61·7
1980 12 121·7
1981 01 301·7
1981 02 621·7
1981 03 451.7
1981 04 461·7
1981 05 961.7
1981 06 371·7
1981 07 991.7
1981 08 51.7
1981 09 911.8
1981 10 641·7
1981 11 771·7
1981 12 261.8
1982 01 831·8
1982 02 451·8
1982 03 81·8
1982 04 731·8
1982 05 681·8
1982 06 51·8
1982 07 511.8
1982 08 331.8
1982 09 641·7
1982 10 941·8
1982 11 861.8
1982 12 201·7
1983 01 151.8
1983 02 871.8
1983 03 201.7
1983 04 701·8
1983 05 911.8
1983 06 861.8
1983 07 861.8
1983 08 481.7
1983 09 851·8
1983 10 151·8
1983 11 391·7
1983 12 411.8
1984 01 171·8
1984 02 251·8
1984 03 611·7
1984 04 611·8
1984 05 311·8
1984 06 911·8
1984 07 581.7
1984 08 481.9
1984 09 961.8
1984 10 131·7
1984 11 641·8
1984 12 631·7
1985 01 51.8
1985 02 181·8
1985 03 331.9
1985 04 941·7
1985 05 801·8
1985 06 551·8
1985 07 481·9
1985 08 551.8
1985 09 621.8
1985 10 991.7
1985 11 161·8
1985 12 841·8
1986 01 231.8
1986 02 521·8
1986 03 671·8
1986 04 421.8
1986 05 551.8
1986 06 381·8
1986 07 591.8
1986 08 191·8
1986 09 771.8
1986 10 81·8
1986 11 741.8
1986 12 261.8
1987 01 351.7
1987 02 381.8
1987 03 171.7
1987 04 31.7
1987 05 971·7
1987 06 271.8
1987 07 211·8
1987 08 111.7
1987 09 571.6
1987 10 11.8
1987 11 421.8
1987 12 391·8
1988 01 351·8
1988 02 111.7
1988 03 631·8
1988 04 991.7
1988 05 741.7
1988 06 321·7
1988 07 881·6
1988 08 301·7
1988 09 441·7
1988 10 641.7
1988 11 511·7
1988 12 951·6
1989 01 391.8
1989 02 321·8
1989 03 71.8
1989 04 801·8
1989 05 771.7
1989 06 881·7
1989 07 391.8
1989 08 01·8
1989 09 41.8
1989 10 61.9
1989 11 531.8
1989 12 911·8
1990 01 881.8
1990 02 871.8
1990 03 811.8
1990 04 181.8
1990 05 231.8
1990 06 561.8
1990 07 791.8
1990 08 671·8
1990 09 291·7
1990 10 631·9
1990 11 291·8
1990 12 521.8
1991 01 501.8
1991 02 851·8
1991 03 371·9
1991 04 101·9
1991 05 551·9
1991 06 211·9
1991 07 361.9
1991 08 51·8
1991 09 371.9
1991 10 971.9
1991 11 821·9
1991 12 241·9
1992 01 171.9
1992 02 632.0
1992 03 561.9
1992 04 811·9
1992 05 371.9
1992 06 941.9
1992 07 662.0
1992 08 131.9
1992 09 681·9
1992 10 921·9
1992 11 421·9
1992 12 821.9
1993 01 41·9
1993 02 811.9
1993 03 421.9
1993 04 781·8
1993 05 631.9
1993 06 111·9
1993 07 471.9
1993 08 121·9
1993 09 911·8
1993 10 592·0
1993 11 641.8
1993 12 231.8
1994 11 551·9
1994 12 241·9
1995 01 241·9
1995 02 741·9
1995 03 501·9
1995 04 321.9
1995 05 842·0
1995 06 521·9
1995 07 951.9
1995 08 332.0
1995 09 251.9
1995 10 712.0
1995 11 351·9
1995 12 32·0
1996 01 551.9
1996 02 671.9
1996 03 381.9
1996 04 431.9
1996 05 61.9
1996 06 52.0
1996 07 992·0
1996 08 762.1
1996 09 322.0
1996 10 722.1
1996 11 372.1
1996 12 551.9
1997 01 171.9
1997 02 812·0
1997 03 961·9
1997 04 532.0
1997 05 672·0
1997 06 701.8
1997 07 442·0
1997 08 731.9
1997 09 131·9
1997 10 12·0
1997 11 771.9
1997 12 381·8
1998 01 122·1
1998 02 631·8
1998 03 141·8
1998 04 01·9
1998 05 462.0
1998 06 682·0
1998 07 972.0
1998 08 331·9
1998 09 221·8
1998 10 552·0
1998 11 981.9
1998 12 391.8
1999 01 711.9
1999 02 861·9
1999 03 91·9
1999 04 431·9
1999 05 492·0
1999 06 501.9
1999 07 501·9
1999 08 942.0
1999 09 392·0
1999 10 582·0
1999 11 652.1
1999 12 692.1
2000 01 471.8
2000 02 491·9
2000 03 231·8
2000 04 671.7
2000 05 41.7
2000 06 861.6
2000 07 191.9
2000 08 151.9
2000 09 681·9
2000 10 572.1
2000 11 711·7
2000 12 621·9
2001 01 201·8
2001 02 741·7
2001 03 241·9
2001 04 841.9
2001 05 662·0
2001 06 761·9
2001 07 461·9
2001 08 822.1
2001 09 381.9
2001 10 262·1
2001 11 332·2
2001 12 802·0
2002 01 932·0
2002 02 102·0
2002 03 22·0
2002 04 292.0
2002 05 132·0
2002 06 432·0
2002 07 992·1
2002 08 52·2
2002 09 42.0
2002 10 622.0
2002 11 922.0
2002 12 72·0
2004 01 972·0
2004 02 301.9
2004 03 751.9
2004 04 622·0
2004 05 502·0
2004 06 342·1
2004 07 682.0
2004 08 202·1
2004 09 451.9
2004 10 892.0
2004 11 151·8
2004 12 551.9
2005 01 861.9
2005 02 312·0
2005 03 852·0
2005 04 702.0
2005 05 72.0
2005 06 231·9
2005 07 712.0
2005 08 871.9
2005 09 641.9
2005 10 541.9
2005 11 942.0
2005 12 601·9
2006 01 392·0
2006 02 361·9
2006 03 972·0
2006 04 612.0
2006 05 382.0
2006 06 81.8
2006 07 501.8
2006 08 931.8
2006 09 931·9
2006 10 311.9
2006 11 461·9
2006 12 802.0
2007 01 602.0
2007 02 951.8
2007 03 51.9
2007 04 731·8
2007 05 211·9
2007 06 111·8
2007 07 711.9
2007 08 471.8
2007 09 842·0
2007 10 181·8
2007 11 121.9
2007 12 32.0
2008 01 782.0
2008 02 791·8
2008 03 242.0
2008 04 662·1
2008 05 622·0
2008 06 812.0
2008 07 252.1
2008 08 862·0
2008 09 171·9
2008 10 382·1
2008 11 602.2
2008 12 392·1
2009 01 492.0
2009 02 872·1
2009 03 972·1
2009 04 252·2
2009 05 902.1
2009 06 912.2
2009 07 312.0
2009 08 692.1
2009 09 962·0
2009 10 382.0
2009 11 812.1
2009 12 232·1
2010 01 502·1
2010 02 422·1
2010 03 912.1
2010 04 602.1
2010 05 582.0
2010 06 392.1
2010 07 302.0
2010 08 832·0
2010 09 522.0
2010 10 932.2
2010 11 922.0
2010 12 152.1
2011 01 872·2
2011 02 912·1
2011 03 962·1
2011 04 82·0
2011 05 472·0
2011 06 472·0
2011 07 872.1
2011 08 372.1
2011 09 372.0
2011 10 992·1
2011 11 342·2
2011 12 22.0
2012 01 892·0
2012 02 92.0
2012 03 312.0
2012 04 291.9
2012 05 602·1
2012 06 652·1
2012 07 962.1
2012 08 682·0
2012 09 312·2
2012 10 802·2
2012 11 752·1
2012 12 942.2
2013 01 102·1
2013 02 932·1
2013 03 362.1
2013 04 82.1
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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
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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