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2012 04 551.9
2012 03 682·0
2012 02 62·0
2012 01 722.0
2011 12 922.0
2011 11 952·0
2011 10 132.0
2011 09 62·0
2011 08 152·0
2011 07 402.0
2011 06 392·0
2011 05 572.0
2011 04 732.0
2011 03 832.0
2011 02 982·0
2011 01 692·0
2010 12 422.1
2010 11 322·0
2010 10 282·0
2010 09 122·0
2010 08 222.0
2010 07 192.0
2010 06 902·0
2010 05 812·0
2010 04 392·1
2010 03 992·0
2010 02 742.0
2010 01 932·0
2009 12 432·1
2009 11 542.0
2009 10 922·1
2009 09 932.1
2009 08 102·0
2009 07 912.1
2009 06 822·1
2009 05 502·1
2009 04 392.1
2009 03 422.0
2009 02 72·0
2009 01 592·0
2008 12 572·0
2008 11 642.0
2008 10 552·0
2008 09 391.9
2008 08 131·9
2008 07 371·9
2008 06 381.9
2008 05 331·9
2008 04 831·9
2008 03 691·9
2008 02 951·8
2008 01 111.9
2007 12 671·8
2007 11 921.9
2007 10 881·9
2007 09 671·9
2007 08 921.8
2007 07 611.9
2007 06 61·8
2007 05 201·8
2007 04 61·8
2007 03 591·9
2007 02 611·8
2007 01 141·8
2006 12 861·8
2006 11 911·8
2006 10 911.8
2006 09 181·9
2006 08 321.8
2006 07 911.9
2006 06 591.8
2006 05 271.9
2006 04 691.8
2006 03 141·8
2006 02 531·9
2006 01 601.8
2005 12 481.8
2005 11 431.8
2005 10 861·8
2005 09 611·9
2005 08 441.8
2005 07 831·8
2005 06 951.8
2005 05 981.9
2005 04 581.9
2005 03 661·9
2005 02 451·9
2005 01 671·9
2004 12 141·9
2004 11 501·9
2004 10 211.9
2004 09 861·9
2004 08 641.9
2004 07 151.9
2004 06 381.9
2004 05 992·0
2004 04 832·0
2004 03 691.9
2004 02 331.9
2004 01 762·0
2002 12 702.0
2002 11 421.9
2002 10 701·9
2002 09 102.0
2002 08 522·0
2002 07 921·9
2002 06 351.9
2002 05 211.9
2002 04 791·9
2002 03 01.9
2002 02 422.0
2002 01 531·9
2001 12 261·9
2001 11 742.0
2001 10 292.0
2001 09 751·9
2001 08 941·9
2001 07 431.9
2001 06 591·8
2001 05 821·8
2001 04 81·8
2001 03 661.8
2001 02 191.8
2001 01 921·8
2000 12 181.8
2000 11 241·8
2000 10 231.8
2000 09 491·8
2000 08 01·8
2000 07 231.7
2000 06 91·7
2000 05 231·7
2000 04 541·7
2000 03 951.7
2000 02 381.7
2000 01 71·7
1999 12 61.7
1999 11 971·8
1999 10 01.8
1999 09 221.8
1999 08 61.8
1999 07 101·8
1999 06 71·7
1999 05 101.8
1999 04 291.8
1999 03 411.8
1999 02 961·8
1999 01 421.8
1998 12 761.8
1998 11 221.7
1998 10 321·8
1998 09 111·8
1998 08 721·8
1998 07 91.9
1998 06 11.8
1998 05 371.8
1998 04 681.8
1998 03 841.8
1998 02 171·8
1998 01 631.8
1997 12 381·7
1997 11 541.8
1997 10 171.9
1997 09 591.8
1997 08 841.8
1997 07 501·8
1997 06 651·8
1997 05 191.8
1997 04 311·8
1997 03 281·8
1997 02 481.8
1997 01 621·8
1996 12 281·8
1996 11 711.8
1996 10 791.8
1996 09 321.9
1996 08 531.9
1996 07 861.9
1996 06 961.8
1996 05 981.8
1996 04 41.8
1996 03 31·8
1996 02 631·8
1996 01 551·8
1995 12 71·8
1995 11 791·8
1995 10 661·8
1995 09 211.8
1995 08 131·8
1995 07 971.8
1995 06 191.8
1995 05 411·9
1995 04 971.8
1995 03 621.8
1995 02 591.8
1995 01 851.8
1994 12 601·8
1994 11 61.9
1993 12 501.7
1993 11 451.7
1993 10 261·7
1993 09 871·7
1993 08 791.8
1993 07 411·8
1993 06 471.7
1993 05 851.8
1993 04 601·8
1993 03 171·8
1993 02 971·8
1993 01 71.8
1992 12 301·8
1992 11 431·8
1992 10 771.8
1992 09 861.8
1992 08 521·8
1992 07 131.8
1992 06 131·8
1992 05 761·8
1992 04 141.8
1992 03 451·7
1992 02 541.8
1992 01 611.8
1991 12 281.7
1991 11 851·7
1991 10 771·7
1991 09 471.7
1991 08 341·7
1991 07 01.8
1991 06 811·8
1991 05 651·8
1991 04 931·8
1991 03 851·8
1991 02 921·7
1991 01 721·7
1990 12 941·7
1990 11 601.7
1990 10 601·7
1990 09 501·7
1990 08 491·7
1990 07 681.7
1990 06 621.7
1990 05 61.7
1990 04 961·7
1990 03 781.7
1990 02 961.7
1990 01 701.7
1989 12 991·7
1989 11 861.7
1989 10 891·7
1989 09 01·7
1989 08 451.7
1989 07 91·6
1989 06 911.6
1989 05 781·6
1989 04 471·6
1989 03 921.7
1989 02 771.7
1989 01 91·7
1988 12 421·6
1988 11 41·6
1988 10 481·6
1988 09 261·6
1988 08 951.7
1988 07 401.6
1988 06 291.6
1988 05 851.6
1988 04 921·6
1988 03 181.6
1988 02 701.7
1988 01 681.6
1987 12 461.6
1987 11 831.7
1987 10 471·6
1987 09 811·6
1987 08 961.7
1987 07 31·7
1987 06 611·6
1987 05 571·6
1987 04 51.6
1987 03 731·7
1987 02 361·7
1987 01 511·6
1986 12 591.7
1986 11 121.6
1986 10 231·6
1986 09 461·6
1986 08 731.6
1986 07 641·6
1986 06 981·6
1986 05 481·6
1986 04 841·6
1986 03 991·7
1986 02 601·7
1986 01 881·7
1985 12 541.7
1985 11 91·6
1985 10 361·6
1985 09 241.6
1985 08 731·7
1985 07 161·6
1985 06 751.6
1985 05 371·6
1985 04 521·6
1985 03 621.7
1985 02 541.7
1985 01 341·7
1984 12 291.6
1984 11 171.7
1984 10 711.7
1984 09 451.6
1984 08 681·7
1984 07 741·7
1984 06 541.7
1984 05 291·6
1984 04 571·6
1984 03 541.6
1984 02 511·6
1984 01 661.7
1983 12 71·7
1983 11 11.6
1983 10 401·6
1983 09 641.7
1983 08 581.6
1983 07 821·7
1983 06 191.6
1983 05 531·7
1983 04 721.7
1983 03 931.6
1983 02 141·7
1983 01 911·7
1982 12 371.6
1982 11 531·6
1982 10 761.7
1982 09 581·6
1982 08 651·7
1982 07 51·7
1982 06 811.6
1982 05 631.6
1982 04 951.7
1982 03 201·7
1982 02 271·6
1982 01 361.6
1981 12 901.6
1981 11 901·6
1981 10 421·6
1981 09 341.6
1981 08 371·6
1981 07 361·6
1981 06 751·6
1981 05 381.6
1981 04 501.6
1981 03 11·6
1981 02 21.6
1981 01 561.6
1980 12 661·6
1980 11 551.5
1980 10 231·6
1980 09 191.6
1980 08 481.6
1980 07 911.6
1980 06 631·6
1980 05 841.6
1980 04 841·6
1980 03 291.6
1980 02 731·6
1980 01 321·5
1979 12 871.5
1979 11 141·5
1979 10 281·5
1979 09 691·6
1979 08 951·6
1979 07 131.6
1979 06 291.6
1979 05 281·5
1979 04 701.6
1979 03 211·5
1979 02 11.5
1979 01 661.6
1978 12 11·5
1978 11 581·5
1978 10 951.5
1978 09 631.5
1978 08 11·5
1978 07 671·5
1978 06 851.5
1978 05 261.5
1978 04 71.5
1978 03 181·6
1978 02 721.6
1978 01 881·6
1977 12 821·8
1977 11 41.6
1977 10 821.6
1977 09 41·5
1977 08 151·6
1977 07 461·5
1977 06 651·6
1977 05 571.6
1977 04 171.6
1977 03 861·6
1977 02 971·6
1977 01 521·6
1976 12 271·6
1976 11 951·6
1976 10 771.6
1976 09 231.6
1976 08 91·6
1976 07 661.6
1976 06 311·6
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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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