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2012 04 542·0
2012 03 912·0
2012 02 592.1
2012 01 612.1
2011 12 242.0
2011 11 762·1
2011 10 492.1
2011 09 32.0
2011 08 802.1
2011 07 792.1
2011 06 582.0
2011 05 622·0
2011 04 712·2
2011 03 802·1
2011 02 02·0
2011 01 822.1
2010 12 722·2
2010 11 872·1
2010 10 122.1
2010 09 332.1
2010 08 862.1
2010 07 312·1
2010 06 572.1
2010 05 92.1
2010 04 352·1
2010 03 682·2
2010 02 242.1
2010 01 292.0
2009 12 722·0
2009 11 812.1
2009 10 252.2
2009 09 372.2
2009 08 712·1
2009 07 772·1
2009 06 982·2
2009 05 22·3
2009 04 332.2
2009 03 862.2
2009 02 52·2
2009 01 192·1
2008 12 842·2
2008 11 652·0
2008 10 362.2
2008 09 62.0
2008 08 731.9
2008 07 962.0
2008 06 22.0
2008 05 82.1
2008 04 761.9
2008 03 862.1
2008 02 422·0
2008 01 941.9
2007 12 931.8
2007 11 661·9
2007 10 181·9
2007 09 571·9
2007 08 501.8
2007 07 931.9
2007 06 181·9
2007 05 181.8
2007 04 971.8
2007 03 492·0
2007 02 561.9
2007 01 202·0
2006 12 101·9
2006 11 391·8
2006 10 691.9
2006 09 331·9
2006 08 891.8
2006 07 972·0
2006 06 201·9
2006 05 502·0
2006 04 591.9
2006 03 781.9
2006 02 971.9
2006 01 901.8
2005 12 712·0
2005 11 641·9
2005 10 121·9
2005 09 991·9
2005 08 991·9
2005 07 622·0
2005 06 52·0
2005 05 442·0
2005 04 461·9
2005 03 31·9
2005 02 371.8
2005 01 201·9
2004 12 351.9
2004 11 452·0
2004 10 961.9
2004 09 472·1
2004 08 182·1
2004 07 682.0
2004 06 962·0
2004 05 682·2
2004 04 692·1
2004 03 791·9
2004 02 741·9
2004 01 521·9
2002 12 902.1
2002 11 102·0
2002 10 932.0
2002 09 952·1
2002 08 42·0
2002 07 181·9
2002 06 412·1
2002 05 142·0
2002 04 641·9
2002 03 841·9
2002 02 312.0
2002 01 541.9
2001 12 442·0
2001 11 152.1
2001 10 12·0
2001 09 832.1
2001 08 452·1
2001 07 432.1
2001 06 141·9
2001 05 982·1
2001 04 911.8
2001 03 232.0
2001 02 572·0
2001 01 151·8
2000 12 342.0
2000 11 391·7
2000 10 432·0
2000 09 801·8
2000 08 491.9
2000 07 961·7
2000 06 121.8
2000 05 621·8
2000 04 361·8
2000 03 261.9
2000 02 241·8
2000 01 541.8
1999 12 211.8
1999 11 851·8
1999 10 681.8
1999 09 771·8
1999 08 531·8
1999 07 561·9
1999 06 581.8
1999 05 731.8
1999 04 91.8
1999 03 451.6
1999 02 301.8
1999 01 131·9
1998 12 891·9
1998 11 841.9
1998 10 491·9
1998 09 891.8
1998 08 181.8
1998 07 292·0
1998 06 11·9
1998 05 231.7
1998 04 461·9
1998 03 621·7
1998 02 991·9
1998 01 571·7
1997 12 501.7
1997 11 891.7
1997 10 831.9
1997 09 611.8
1997 08 281·9
1997 07 431.9
1997 06 131.7
1997 05 282.0
1997 04 81.9
1997 03 791·9
1997 02 791.9
1997 01 791.7
1996 12 381·9
1996 11 801.9
1996 10 931·8
1996 09 572.0
1996 08 952.1
1996 07 522·0
1996 06 931·9
1996 05 311.9
1996 04 791.8
1996 03 272.0
1996 02 421.9
1996 01 961·8
1995 12 151.9
1995 11 611.8
1995 10 281·8
1995 09 702.1
1995 08 541.8
1995 07 371·8
1995 06 641.7
1995 05 981.8
1995 04 711·8
1995 03 601·8
1995 02 871·7
1995 01 491.7
1994 12 661.7
1994 11 621.7
1993 12 611.8
1993 11 171.7
1993 10 661·9
1993 09 01·8
1993 08 731.8
1993 07 211.9
1993 06 191·7
1993 05 561.8
1993 04 361.8
1993 03 51·9
1993 02 21·9
1993 01 361.8
1992 12 891·7
1992 11 391·8
1992 10 151.7
1992 09 721·9
1992 08 941·9
1992 07 161·8
1992 06 841.8
1992 05 211.9
1992 04 391·8
1992 03 571·8
1992 02 581.8
1992 01 641.9
1991 12 361.6
1991 11 41·6
1991 10 131.7
1991 09 71.6
1991 08 241.8
1991 07 271·9
1991 06 501.9
1991 05 831·8
1991 04 661.8
1991 03 201·8
1991 02 941·8
1991 01 481·7
1990 12 501·7
1990 11 21·8
1990 10 951·8
1990 09 841·9
1990 08 881·8
1990 07 181·8
1990 06 301.8
1990 05 971·7
1990 04 181·7
1990 03 361.7
1990 02 971.5
1990 01 201·8
1989 12 41.6
1989 11 521.8
1989 10 221·6
1989 09 71·7
1989 08 321.7
1989 07 831·6
1989 06 571.6
1989 05 431.6
1989 04 171·7
1989 03 741·6
1989 02 761.6
1989 01 321·6
1988 12 951.5
1988 11 941·5
1988 10 801.7
1988 09 61·5
1988 08 301.6
1988 07 371.7
1988 06 931.6
1988 05 231·6
1988 04 101.6
1988 03 231·6
1988 02 681·8
1988 01 641·6
1987 12 481.7
1987 11 951.7
1987 10 781.7
1987 09 351.7
1987 08 801.8
1987 07 231·7
1987 06 241.6
1987 05 691·6
1987 04 721·6
1987 03 11·6
1987 02 321.6
1987 01 211·6
1986 12 91.6
1986 11 481.5
1986 10 521·6
1986 09 731·6
1986 08 61·6
1986 07 81·5
1986 06 591·6
1986 05 331.7
1986 04 991·7
1986 03 501.7
1986 02 551.6
1986 01 311·6
1985 12 521.7
1985 11 691.6
1985 10 631.5
1985 09 251·6
1985 08 541.7
1985 07 831·7
1985 06 351·7
1985 05 961.6
1985 04 151.6
1985 03 371·6
1985 02 461·6
1985 01 501.7
1984 12 761·6
1984 11 01.7
1984 10 971·6
1984 09 201.6
1984 08 981.6
1984 07 651.7
1984 06 121·5
1984 05 611·6
1984 04 691·6
1984 03 531·6
1984 02 431·7
1984 01 561·6
1983 12 31.5
1983 11 71.6
1983 10 641·6
1983 09 111·8
1983 08 361·7
1983 07 961·8
1983 06 761.6
1983 05 591.7
1983 04 331.7
1983 03 151.7
1983 02 41.7
1983 01 541.7
1982 12 801·7
1982 11 831·7
1982 10 991·6
1982 09 801·6
1982 08 921·6
1982 07 431.6
1982 06 361·6
1982 05 421·6
1982 04 51.6
1982 03 651·6
1982 02 161.6
1982 01 731.4
1981 12 821·5
1981 11 441.5
1981 10 631.6
1981 09 291·5
1981 08 121.5
1981 07 971.5
1981 06 291.5
1981 05 911.6
1981 04 81·6
1981 03 701·6
1981 02 881.7
1981 01 671.5
1980 12 61.5
1980 11 321.5
1980 10 421·6
1980 09 871·5
1980 08 711.6
1980 07 761·5
1980 06 151·5
1980 05 101·5
1980 04 901.5
1980 03 221.5
1980 02 581·5
1980 01 151·4
1979 12 761.4
1979 11 141.5
1979 10 461.4
1979 09 111·4
1979 08 671.5
1979 07 211·4
1979 06 801·5
1979 05 281·4
1979 04 251.6
1979 03 371·6
1979 02 851·5
1979 01 231.7
1978 12 391.4
1978 11 811·5
1978 10 111·6
1978 09 781.5
1978 08 211.5
1978 07 981.4
1978 06 341·4
1978 05 991·5
1978 04 101.5
1978 03 571·5
1978 02 541·4
1978 01 181.6
1977 12 681.6
1977 11 511·6
1977 10 971.5
1977 09 931.5
1977 08 831·5
1977 07 01·5
1977 06 131·6
1977 05 31·6
1977 04 681·6
1977 03 491.7
1977 02 771·6
1977 01 571.6
1976 12 621·7
1976 11 651.6
1976 10 901·5
1976 09 851.5
1976 08 261·5
1976 07 441·6
1976 06 771·6
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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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