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2012 04 481.9
2012 03 951.9
2012 02 482·0
2012 01 422.0
2011 12 341·9
2011 11 852.0
2011 10 572·0
2011 09 422.0
2011 08 122·0
2011 07 992·0
2011 06 912.0
2011 05 652.0
2011 04 322.0
2011 03 182.0
2011 02 652.0
2011 01 562.0
2010 12 682·1
2010 11 492·0
2010 10 152.0
2010 09 842·0
2010 08 232·0
2010 07 232·0
2010 06 52·0
2010 05 442·0
2010 04 202·0
2010 03 972·0
2010 02 222.0
2010 01 532.0
2009 12 102·1
2009 11 532.0
2009 10 792·0
2009 09 572.0
2009 08 692.0
2009 07 972.0
2009 06 152·0
2009 05 242.1
2009 04 982·0
2009 03 612.0
2009 02 922.0
2009 01 492·0
2008 12 202·0
2008 11 22.0
2008 10 981.9
2008 09 511·9
2008 08 881.9
2008 07 01.9
2008 06 461·9
2008 05 741.8
2008 04 761·9
2008 03 641.9
2008 02 741.8
2008 01 861.9
2007 12 841.8
2007 11 251.8
2007 10 441.9
2007 09 831.8
2007 08 381·8
2007 07 381.9
2007 06 451·8
2007 05 841.8
2007 04 891·8
2007 03 861·9
2007 02 901·8
2007 01 321.8
2006 12 121.8
2006 11 761.8
2006 10 161.8
2006 09 961·9
2006 08 71.8
2006 07 391·8
2006 06 861.8
2006 05 711.8
2006 04 991.8
2006 03 311.8
2006 02 881·8
2006 01 761·8
2005 12 401·8
2005 11 351.8
2005 10 361·8
2005 09 561·9
2005 08 31.8
2005 07 571·9
2005 06 661·8
2005 05 781·9
2005 04 911.8
2005 03 281·8
2005 02 421.9
2005 01 381·9
2004 12 281·8
2004 11 61·9
2004 10 521·9
2004 09 541·9
2004 08 641·9
2004 07 721·9
2004 06 81·9
2004 05 712.0
2004 04 751.9
2004 03 321·9
2004 02 491.9
2004 01 572·0
2002 12 621.9
2002 11 181.9
2002 10 381·9
2002 09 81.9
2002 08 492.0
2002 07 881·9
2002 06 611·9
2002 05 411·9
2002 04 871.9
2002 03 221·9
2002 02 331.9
2002 01 21.9
2001 12 521·9
2001 11 261.9
2001 10 912·0
2001 09 591.9
2001 08 441.8
2001 07 341·8
2001 06 981·8
2001 05 61·8
2001 04 881.8
2001 03 11.7
2001 02 421·8
2001 01 641.8
2000 12 341·8
2000 11 91.7
2000 10 351·7
2000 09 741·8
2000 08 591.8
2000 07 651·7
2000 06 161.7
2000 05 81.6
2000 04 621·7
2000 03 01.7
2000 02 481·7
2000 01 591·7
1999 12 691.7
1999 11 711·8
1999 10 181·8
1999 09 461·7
1999 08 301·8
1999 07 601.9
1999 06 391·7
1999 05 131·7
1999 04 211·7
1999 03 731.7
1999 02 491·8
1999 01 291·8
1998 12 421·7
1998 11 421.7
1998 10 121·8
1998 09 901·8
1998 08 181.8
1998 07 231·8
1998 06 151.8
1998 05 131·8
1998 04 01·8
1998 03 991.8
1998 02 701.8
1998 01 421.8
1997 12 631.7
1997 11 751.8
1997 10 161·9
1997 09 481·8
1997 08 81.8
1997 07 841·7
1997 06 161.8
1997 05 241·7
1997 04 601.7
1997 03 821·7
1997 02 571·8
1997 01 891·8
1996 12 691.8
1996 11 501·8
1996 10 531.8
1996 09 881·8
1996 08 111.8
1996 07 961.9
1996 06 411·8
1996 05 891·8
1996 04 861·8
1996 03 511.7
1996 02 841.8
1996 01 871·8
1995 12 201·8
1995 11 721.8
1995 10 711.8
1995 09 11.8
1995 08 621.7
1995 07 401·8
1995 06 131.7
1995 05 751·8
1995 04 891.7
1995 03 621.8
1995 02 491·8
1995 01 781.8
1994 12 01.7
1994 11 701.8
1994 01 421·9
1993 12 41·7
1993 11 221·7
1993 10 191·7
1993 09 801.7
1993 08 731·7
1993 07 41·7
1993 06 931·7
1993 05 751.7
1993 04 281·7
1993 03 221.7
1993 02 971.7
1993 01 661.7
1992 12 391.7
1992 11 761·7
1992 10 631.7
1992 09 151.7
1992 08 991·7
1992 07 921.7
1992 06 481.7
1992 05 101.6
1992 04 291·7
1992 03 191·7
1992 02 331.7
1992 01 641.7
1991 12 721·7
1991 11 351.6
1991 10 261.6
1991 09 161.6
1991 08 971·6
1991 07 381·7
1991 06 571.7
1991 05 271.7
1991 04 981·7
1991 03 541·7
1991 02 841·7
1991 01 861.6
1990 12 951·6
1990 11 341·6
1990 10 871·6
1990 09 61·6
1990 08 321.7
1990 07 531·6
1990 06 741.6
1990 05 241·6
1990 04 781.6
1990 03 111.6
1990 02 771·6
1990 01 41·6
1989 12 261·6
1989 11 341·6
1989 10 511.6
1989 09 331.6
1989 08 971.6
1989 07 731·6
1989 06 791.6
1989 05 241·6
1989 04 331.6
1989 03 11.7
1989 02 671.6
1989 01 151·6
1988 12 61.6
1988 11 211·6
1988 10 471·5
1988 09 701.6
1988 08 71.6
1988 07 571.6
1988 06 751·6
1988 05 751.6
1988 04 581·5
1988 03 601.6
1988 02 331·6
1988 01 441.6
1987 12 11·6
1987 11 51·6
1987 10 291·6
1987 09 151·6
1987 08 61·6
1987 07 921.6
1987 06 921.6
1987 05 501.5
1987 04 671·5
1987 03 481·6
1987 02 811.6
1987 01 381·6
1986 12 31.5
1986 11 211.5
1986 10 761.6
1986 09 921·5
1986 08 591.5
1986 07 891.6
1986 06 851.6
1986 05 481.6
1986 04 41·6
1986 03 501.6
1986 02 381.6
1986 01 711.6
1985 12 301·6
1985 11 311·6
1985 10 931.6
1985 09 471·6
1985 08 591·6
1985 07 821.6
1985 06 321.6
1985 05 911·6
1985 04 341.6
1985 03 781·6
1985 02 601·6
1985 01 391·6
1984 12 241·6
1984 11 191·6
1984 10 101.6
1984 09 561·5
1984 08 231.6
1984 07 321.6
1984 06 371.6
1984 05 271·5
1984 04 501.5
1984 03 661·6
1984 02 251.6
1984 01 671.6
1983 12 501.6
1983 11 971.6
1983 10 791·5
1983 09 141.6
1983 08 911.6
1983 07 251.6
1983 06 321.6
1983 05 301.6
1983 04 681·6
1983 03 751.6
1983 02 381·6
1983 01 31·6
1982 12 01.6
1982 11 991.6
1982 10 821.6
1982 09 461.5
1982 08 311.6
1982 07 711.6
1982 06 681.6
1982 05 971.6
1982 04 311.6
1982 03 921·6
1982 02 291·6
1982 01 191.5
1981 12 921.5
1981 11 871.6
1981 10 211.5
1981 09 991·5
1981 08 361.5
1981 07 61.6
1981 06 261·5
1981 05 521.6
1981 04 41·5
1981 03 261.6
1981 02 511·6
1981 01 131·5
1980 12 681·5
1980 11 451·5
1980 10 271·5
1980 09 471·5
1980 08 201·5
1980 07 911.5
1980 06 111.5
1980 05 421·5
1980 04 811.5
1980 03 121.5
1980 02 841.5
1980 01 91·5
1979 12 931.5
1979 11 851.5
1979 10 531.5
1979 09 881·5
1979 08 271.5
1979 07 101.5
1979 06 501·5
1979 05 401·4
1979 04 771.5
1979 03 121.5
1979 02 321·5
1979 01 551.5
1978 12 611·5
1978 11 421·5
1978 10 791.5
1978 09 441·5
1978 08 241·5
1978 07 751·5
1978 06 01·5
1978 05 461·5
1978 04 341.5
1978 03 111·5
1978 02 241.5
1978 01 231.5
1977 12 871.5
1977 11 771·5
1977 10 101·5
1977 09 641·5
1977 08 11·5
1977 07 211·5
1977 06 381·5
1977 05 811·5
1977 04 201·5
1977 03 201·5
1977 02 151.6
1977 01 121.5
1976 12 141.6
1976 11 741.5
1976 10 741·5
1976 09 201.5
1976 08 761·5
1976 07 91.6
1976 06 701·6
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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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