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2012 04 642·1
2012 03 962·1
2012 02 392.0
2012 01 22·0
2011 12 192·1
2011 11 242·1
2011 10 542·1
2011 09 772·1
2011 08 402·2
2011 07 502·2
2011 06 692.1
2011 05 502·2
2011 04 782·2
2011 03 562.2
2011 02 992.1
2011 01 662·1
2010 12 82·1
2010 11 482.2
2010 10 802·2
2010 09 932·1
2010 08 312·2
2010 07 602.3
2010 06 752·2
2010 05 272.1
2010 04 712·2
2010 03 462.2
2010 02 732.1
2010 01 862·2
2009 12 802.2
2009 11 892·1
2009 10 872·2
2009 09 152·2
2009 08 332.1
2009 07 952·2
2009 06 532·3
2009 05 822·3
2009 04 292·1
2009 03 962.1
2009 02 362.2
2009 01 812.2
2008 12 952·1
2008 11 492.2
2008 10 232·1
2008 09 332·1
2008 08 812·1
2008 07 352·1
2008 06 272.1
2008 05 802·0
2008 04 622·0
2008 03 611·9
2008 02 851·9
2008 01 922·0
2007 12 391.9
2007 11 582.0
2007 10 622·1
2007 09 642.0
2007 08 372·0
2007 07 841.9
2007 06 431·9
2007 05 141.9
2007 04 61.9
2007 03 192·0
2007 02 441.9
2007 01 862.0
2006 12 221·9
2006 11 711.8
2006 10 11·9
2006 09 502.0
2006 08 852.0
2006 07 712.0
2006 06 772.0
2006 05 02.0
2006 04 212.0
2006 03 761.9
2006 02 601.9
2006 01 551.9
2005 12 801.9
2005 11 671.8
2005 10 631·9
2005 09 592·0
2005 08 372.0
2005 07 512.0
2005 06 242.0
2005 05 811·9
2005 04 931·9
2005 03 592·0
2005 02 62·0
2005 01 152·1
2004 12 732·1
2004 11 492.1
2004 10 972·1
2004 09 812.0
2004 08 272.0
2004 07 22.1
2004 06 92.0
2004 05 222.1
2004 04 322·1
2004 03 242.1
2004 02 812.1
2004 01 92·2
2002 12 872·2
2002 11 482·1
2002 10 752.0
2002 09 342·2
2002 08 172·2
2002 07 292·1
2002 06 802.1
2002 05 172.1
2002 04 742·1
2002 03 502·1
2002 02 72.1
2002 01 22·1
2001 12 322.1
2001 11 172·2
2001 10 962·0
2001 09 592.0
2001 08 921.9
2001 07 621·9
2001 06 92.0
2001 05 812.0
2001 04 802·0
2001 03 412.0
2001 02 341.9
2001 01 871·9
2000 12 452·0
2000 11 362·1
2000 10 832·0
2000 09 232.0
2000 08 632·0
2000 07 541·8
2000 06 952·0
2000 05 561·9
2000 04 341.9
2000 03 262.0
2000 02 321.8
2000 01 811.8
1999 12 851·8
1999 11 92.0
1999 10 831.9
1999 09 182·0
1999 08 641·9
1999 07 851·9
1999 06 601·9
1999 05 101·9
1999 04 481·9
1999 03 602.0
1999 02 22·0
1999 01 262.0
1998 12 382.0
1998 11 662·0
1998 10 702·0
1998 09 611·8
1998 08 571·9
1998 07 602·0
1998 06 532·0
1998 05 331·9
1998 04 582·0
1998 03 221.9
1998 02 651·9
1998 01 882.0
1997 12 142·0
1997 11 612.0
1997 10 421.9
1997 09 932.0
1997 08 271·9
1997 07 72.0
1997 06 472.0
1997 05 441.9
1997 04 221·9
1997 03 172·0
1997 02 692·1
1997 01 592·0
1996 12 502·0
1996 11 731·9
1996 10 211.9
1996 09 821·9
1996 08 852.0
1996 07 812·1
1996 06 402·0
1996 05 832.0
1996 04 292.0
1996 03 732·0
1996 02 892.1
1996 01 552.0
1995 12 52·1
1995 11 62.1
1995 10 562·0
1995 09 192·0
1995 08 662·0
1995 07 612.0
1995 06 551.8
1995 05 171·9
1995 04 861·9
1995 03 452.0
1995 02 222.0
1995 01 202.0
1994 12 662·1
1994 11 892·1
1993 12 211.9
1993 11 211.8
1993 10 311·8
1993 09 511·9
1993 08 391·9
1993 07 391.9
1993 06 311·8
1993 05 121·9
1993 04 901.9
1993 03 191.9
1993 02 431.9
1993 01 781.9
1992 12 122·0
1992 11 291·9
1992 10 651·9
1992 09 811·9
1992 08 671·9
1992 07 641.9
1992 06 241.9
1992 05 781.8
1992 04 431·9
1992 03 441·7
1992 02 711.9
1992 01 511.9
1991 12 531·9
1991 11 111.8
1991 10 791.9
1991 09 51.8
1991 08 351.8
1991 07 361·8
1991 06 511·9
1991 05 741.8
1991 04 521.8
1991 03 122·0
1991 02 101·8
1991 01 121.8
1990 12 921·8
1990 11 581·8
1990 10 91·8
1990 09 31.8
1990 08 671·8
1990 07 201.7
1990 06 211·8
1990 05 521·8
1990 04 171.8
1990 03 651·7
1990 02 481·8
1990 01 921·9
1989 12 21.7
1989 11 881·8
1989 10 141·8
1989 09 781.8
1989 08 121.8
1989 07 81.7
1989 06 711.7
1989 05 931.7
1989 04 591·7
1989 03 691.7
1989 02 931.8
1989 01 431.7
1988 12 811·7
1988 11 411·6
1988 10 811·6
1988 09 601.7
1988 08 421.8
1988 07 171.8
1988 06 601.8
1988 05 11.7
1988 04 281·6
1988 03 171.7
1988 02 811·7
1988 01 461·7
1987 12 531.7
1987 11 851.8
1987 10 201·7
1987 09 31·7
1987 08 551.8
1987 07 901·7
1987 06 761·7
1987 05 41.7
1987 04 961·7
1987 03 261.7
1987 02 741.7
1987 01 51·7
1986 12 651·6
1986 11 121.7
1986 10 661·6
1986 09 871·6
1986 08 741.6
1986 07 921.7
1986 06 271·7
1986 05 581.7
1986 04 611.7
1986 03 361·7
1986 02 571.7
1986 01 491·7
1985 12 901.7
1985 11 381.7
1985 10 811·7
1985 09 161.7
1985 08 471.7
1985 07 161.7
1985 06 501·7
1985 05 411.7
1985 04 471·7
1985 03 151·7
1985 02 391.7
1985 01 321·7
1984 12 261.8
1984 11 51·7
1984 10 491.7
1984 09 181.7
1984 08 481·7
1984 07 781·7
1984 06 51·7
1984 05 581.6
1984 04 01·7
1984 03 551.7
1984 02 581.6
1984 01 331.7
1983 12 971·7
1983 11 791.7
1983 10 821·7
1983 09 501.7
1983 08 741·7
1983 07 201·8
1983 06 781·6
1983 05 391.7
1983 04 961·6
1983 03 721.7
1983 02 721·7
1983 01 581.8
1982 12 501.7
1982 11 541.7
1982 10 141·7
1982 09 881·7
1982 08 491·7
1982 07 101.6
1982 06 801·7
1982 05 371·7
1982 04 301.7
1982 03 91.7
1982 02 691.7
1982 01 351.7
1981 12 581·6
1981 11 451.7
1981 10 71·6
1981 09 391.6
1981 08 201·6
1981 07 381.7
1981 06 451.6
1981 05 311·6
1981 04 281.6
1981 03 311·7
1981 02 581·6
1981 01 181.6
1980 12 201·6
1980 11 941·7
1980 10 461.6
1980 09 311.6
1980 08 601·7
1980 07 211.6
1980 06 341.7
1980 05 271.6
1980 04 351.6
1980 03 311.6
1980 02 741·6
1980 01 871·6
1979 12 591.5
1979 11 691.6
1979 10 411·6
1979 09 191·6
1979 08 681·6
1979 07 21.6
1979 06 341·5
1979 05 531·5
1979 04 261·5
1979 03 261·5
1979 02 791·6
1979 01 471.5
1978 12 221.5
1978 11 601.5
1978 10 281.5
1978 09 811·4
1978 08 671·5
1978 07 471·5
1978 06 541.5
1978 05 641.5
1978 04 991.6
1978 03 571·6
1978 02 591.6
1978 01 251·6
1977 12 831·6
1977 11 851·6
1977 10 671.7
1977 09 231.5
1977 08 41·5
1977 07 481.5
1977 06 301·5
1977 05 381.6
1977 04 771.6
1977 03 921.6
1977 02 221·6
1977 01 781.6
1976 12 391.6
1976 11 851·6
1976 10 451.6
1976 09 731.6
1976 08 531.6
1976 07 221.6
1976 06 231.6
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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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