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2012 04 552·1
2012 03 572·0
2012 02 262.0
2012 01 32·0
2011 12 532·0
2011 11 412.1
2011 10 362·1
2011 09 372·2
2011 08 232·2
2011 07 302.3
2011 06 542.2
2011 05 762.1
2011 04 162·2
2011 03 52·1
2011 02 912·1
2011 01 652·1
2010 12 82.1
2010 11 732.2
2010 10 872·1
2010 09 712.2
2010 08 982·2
2010 07 662·3
2010 06 32.1
2010 05 902.1
2010 04 122·3
2010 03 412.3
2010 02 282.1
2010 01 402.1
2009 12 12·2
2009 11 782·1
2009 10 752.1
2009 09 662.2
2009 08 402·1
2009 07 852.2
2009 06 812.2
2009 05 362.3
2009 04 292·0
2009 03 932·0
2009 02 102·1
2009 01 462·1
2008 12 942.1
2008 11 582.1
2008 10 492·0
2008 09 132.1
2008 08 852.0
2008 07 642.1
2008 06 112·1
2008 05 831.9
2008 04 782·0
2008 03 151.9
2008 02 341·9
2008 01 242·0
2007 12 721·9
2007 11 442·0
2007 10 812.0
2007 09 301.9
2007 08 942·0
2007 07 81·8
2007 06 401·8
2007 05 211·8
2007 04 931.8
2007 03 872.0
2007 02 241·9
2007 01 411·9
2006 12 461.8
2006 11 901·8
2006 10 701·9
2006 09 591·9
2006 08 521.9
2006 07 462.1
2006 06 421.9
2006 05 691.9
2006 04 371·9
2006 03 141·8
2006 02 271·9
2006 01 892.0
2005 12 501·8
2005 11 741·8
2005 10 391.9
2005 09 662·0
2005 08 691.9
2005 07 332.0
2005 06 142.0
2005 05 661.9
2005 04 931·9
2005 03 241·9
2005 02 172·0
2005 01 852.1
2004 12 472·1
2004 11 22.2
2004 10 352.1
2004 09 421.9
2004 08 812·0
2004 07 492·0
2004 06 811.9
2004 05 812.1
2004 04 722.0
2004 03 712.1
2004 02 922·1
2004 01 712.1
2002 12 202.2
2002 11 22·1
2002 10 321.9
2002 09 62·2
2002 08 492.1
2002 07 962·0
2002 06 892·1
2002 05 52.1
2002 04 112·1
2002 03 362·0
2002 02 752.1
2002 01 132.1
2001 12 812.1
2001 11 292·1
2001 10 281.9
2001 09 981.9
2001 08 591.8
2001 07 51·8
2001 06 111·8
2001 05 551·8
2001 04 702·0
2001 03 221·9
2001 02 131·9
2001 01 31·9
2000 12 652·1
2000 11 622.1
2000 10 461.9
2000 09 861·9
2000 08 191·9
2000 07 301·7
2000 06 471·9
2000 05 721·9
2000 04 341.8
2000 03 591.9
2000 02 801·8
2000 01 581·9
1999 12 331.7
1999 11 52·0
1999 10 331·9
1999 09 601.9
1999 08 681.7
1999 07 502.0
1999 06 192·0
1999 05 241.9
1999 04 131.9
1999 03 11.9
1999 02 751.9
1999 01 191.9
1998 12 701.9
1998 11 891·9
1998 10 642.0
1998 09 391.7
1998 08 641·8
1998 07 702·1
1998 06 741·9
1998 05 31·9
1998 04 441·9
1998 03 271·8
1998 02 191·7
1998 01 541·8
1997 12 872·0
1997 11 661.9
1997 10 351.9
1997 09 632.0
1997 08 931·8
1997 07 191.9
1997 06 872·0
1997 05 241·8
1997 04 871.9
1997 03 421·9
1997 02 612·1
1997 01 552.0
1996 12 202·0
1996 11 171.9
1996 10 711·8
1996 09 01·7
1996 08 671.9
1996 07 502·1
1996 06 541.9
1996 05 301·9
1996 04 282.0
1996 03 742·0
1996 02 741.8
1996 01 371·9
1995 12 282·2
1995 11 452.0
1995 10 192·0
1995 09 421.9
1995 08 191·8
1995 07 441·9
1995 06 01.7
1995 05 881·9
1995 04 761·7
1995 03 791.9
1995 02 572·0
1995 01 442·0
1994 12 981.9
1994 11 802.0
1993 12 511.9
1993 11 51.8
1993 10 121.7
1993 09 51·8
1993 08 721·9
1993 07 891·8
1993 06 681.8
1993 05 351·8
1993 04 311·8
1993 03 411.9
1993 02 401.7
1993 01 761.8
1992 12 671·8
1992 11 301·8
1992 10 311·8
1992 09 611·8
1992 08 431·9
1992 07 501·9
1992 06 641.9
1992 05 471.8
1992 04 461·9
1992 03 211·7
1992 02 901·9
1992 01 131·8
1991 12 901·8
1991 11 851·7
1991 10 851.8
1991 09 681.8
1991 08 111·7
1991 07 141·7
1991 06 491·9
1991 05 431.8
1991 04 741.7
1991 03 01·9
1991 02 81.7
1991 01 951·8
1990 12 661.7
1990 11 621·7
1990 10 111·7
1990 09 51.7
1990 08 01·7
1990 07 461·7
1990 06 351·7
1990 05 801·8
1990 04 141·7
1990 03 201·7
1990 02 791·7
1990 01 511·6
1989 12 701·6
1989 11 781.7
1989 10 701·8
1989 09 751.8
1989 08 571·7
1989 07 391.7
1989 06 561·6
1989 05 341·6
1989 04 881·6
1989 03 481.9
1989 02 151·9
1989 01 351·8
1988 12 991.6
1988 11 731.6
1988 10 461·5
1988 09 91·8
1988 08 551·8
1988 07 91·6
1988 06 741.8
1988 05 121.7
1988 04 441.5
1988 03 751.7
1988 02 511.7
1988 01 271·7
1987 12 771·7
1987 11 151·7
1987 10 501·7
1987 09 601.6
1987 08 931.7
1987 07 991·7
1987 06 741·7
1987 05 421·6
1987 04 551.7
1987 03 191.6
1987 02 461.7
1987 01 311.6
1986 12 511.5
1986 11 971.6
1986 10 191·5
1986 09 71.5
1986 08 941.5
1986 07 741.7
1986 06 661·6
1986 05 791·6
1986 04 201.7
1986 03 221·6
1986 02 881.6
1986 01 761.6
1985 12 951.7
1985 11 331.6
1985 10 111·6
1985 09 561·7
1985 08 41·6
1985 07 281.7
1985 06 861.6
1985 05 11.6
1985 04 621.7
1985 03 491·6
1985 02 861.7
1985 01 171.6
1984 12 61·5
1984 11 671·7
1984 10 141.5
1984 09 351·5
1984 08 991·7
1984 07 761·6
1984 06 941·6
1984 05 131.5
1984 04 281·6
1984 03 941·6
1984 02 761·6
1984 01 321·6
1983 12 81·6
1983 11 651.6
1983 10 371·5
1983 09 991.6
1983 08 751.6
1983 07 601·7
1983 06 761.6
1983 05 451·6
1983 04 921·5
1983 03 721·6
1983 02 191.6
1983 01 271·7
1982 12 481.6
1982 11 201·7
1982 10 161·6
1982 09 271.6
1982 08 551.6
1982 07 481·5
1982 06 431.6
1982 05 511.6
1982 04 521·6
1982 03 251·6
1982 02 01.5
1982 01 311·6
1981 12 01.6
1981 11 461·6
1981 10 121.6
1981 09 231·4
1981 08 891.6
1981 07 301.5
1981 06 301.5
1981 05 91·6
1981 04 301·6
1981 03 211.7
1981 02 291·6
1981 01 971·6
1980 12 621.5
1980 11 881.6
1980 10 101·5
1980 09 161·6
1980 08 481·6
1980 07 251·4
1980 06 981·7
1980 05 251·6
1980 04 751.5
1980 03 511·5
1980 02 431·5
1980 01 51.5
1979 12 571.5
1979 11 101.6
1979 10 201.4
1979 09 621.5
1979 08 311·6
1979 07 731·5
1979 06 311·4
1979 05 281.5
1979 04 601·4
1979 03 321·4
1979 02 11.5
1979 01 591.4
1978 12 321.5
1978 11 61·5
1978 10 791·5
1978 09 381.3
1978 08 611.5
1978 07 411·5
1978 06 421·5
1978 05 711.4
1978 04 831·5
1978 03 51.5
1978 02 891.6
1978 01 901.5
1977 12 621·5
1977 11 921·6
1977 10 471.6
1977 09 501.5
1977 08 851·5
1977 07 221·6
1977 06 651·4
1977 05 351.5
1977 04 671·5
1977 03 381.6
1977 02 191·6
1977 01 501.5
1976 12 431.5
1976 11 101·4
1976 10 91·6
1976 09 271·5
1976 08 781.5
1976 07 311·5
1976 06 601·5
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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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