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2012 04 252.0
2012 03 52.0
2012 02 962.0
2012 01 712·1
2011 12 252·1
2011 11 552.2
2011 10 622·1
2011 09 742·1
2011 08 32.1
2011 07 162·2
2011 06 412·0
2011 05 892·1
2011 04 112·2
2011 03 702.2
2011 02 462.0
2011 01 592·1
2010 12 232.3
2010 11 232.1
2010 10 152.0
2010 09 532.0
2010 08 412.0
2010 07 82·2
2010 06 122.1
2010 05 662·2
2010 04 882·2
2010 03 792·2
2010 02 242.1
2010 01 171.9
2009 12 172·1
2009 11 202·1
2009 10 632·0
2009 09 492.2
2009 08 22·1
2009 07 372.1
2009 06 682.2
2009 05 332·2
2009 04 432.2
2009 03 612·1
2009 02 22.1
2009 01 622·0
2008 12 662.2
2008 11 492.1
2008 10 522·2
2008 09 552·1
2008 08 221·9
2008 07 832·0
2008 06 322·1
2008 05 562·0
2008 04 852·0
2008 03 692.1
2008 02 791.9
2008 01 351.9
2007 12 571.8
2007 11 391.9
2007 10 561·8
2007 09 861·9
2007 08 621.8
2007 07 501·8
2007 06 521.8
2007 05 271.7
2007 04 501.9
2007 03 831.8
2007 02 782·1
2007 01 42.1
2006 12 991·7
2006 11 451·8
2006 10 731·8
2006 09 842·0
2006 08 71·9
2006 07 681·9
2006 06 01.9
2006 05 632.0
2006 04 01·8
2006 03 81·8
2006 02 471.7
2006 01 601·6
2005 12 282.0
2005 11 472.0
2005 10 261·9
2005 09 181.9
2005 08 681·9
2005 07 912·1
2005 06 762·0
2005 05 61·9
2005 04 181·8
2005 03 731·6
2005 02 591·7
2005 01 201·8
2004 12 51·8
2004 11 482·0
2004 10 631·9
2004 09 772·0
2004 08 802·0
2004 07 982.0
2004 06 11·9
2004 05 232·0
2004 04 172.0
2004 03 311.9
2004 02 111·9
2004 01 252·0
2002 12 162·0
2002 11 782.1
2002 10 571·9
2002 09 802·1
2002 08 42.1
2002 07 941.8
2002 06 252.0
2002 05 41.8
2002 04 301·8
2002 03 631·9
2002 02 282.0
2002 01 441.9
2001 12 711·8
2001 11 901·9
2001 10 52·0
2001 09 672.1
2001 08 252.0
2001 07 81.9
2001 06 191.8
2001 05 682.4
2001 04 202·0
2001 03 732.1
2001 02 572.0
2001 01 661·7
2000 12 51.9
2000 11 661·6
2000 10 321.9
2000 09 61.9
2000 08 552·0
2000 07 941·8
2000 06 831.8
2000 05 561·7
2000 04 711.7
2000 03 891.8
2000 02 711·7
2000 01 101·7
1999 12 791·7
1999 11 71·8
1999 10 861.9
1999 09 881.8
1999 08 281.7
1999 07 312.0
1999 06 391·7
1999 05 341.7
1999 04 951·8
1999 03 671·6
1999 02 691·6
1999 01 171.8
1998 12 791.6
1998 11 451·7
1998 10 381.8
1998 09 311.9
1998 08 51.8
1998 07 241·8
1998 06 351.9
1998 05 951.8
1998 04 261·8
1998 03 851.8
1998 02 721.9
1998 01 541.6
1997 12 141·6
1997 11 341.6
1997 10 882.0
1997 09 761.7
1997 08 722·1
1997 07 21.8
1997 06 441.6
1997 05 551.9
1997 04 251.8
1997 03 481.8
1997 02 301·9
1997 01 121·7
1996 12 221.7
1996 11 511.7
1996 10 571.6
1996 09 892.0
1996 08 392·0
1996 07 201.9
1996 06 651·8
1996 05 572·0
1996 04 771·7
1996 03 852.0
1996 02 151.8
1996 01 81.9
1995 12 611.9
1995 11 31.9
1995 10 961.9
1995 09 632.0
1995 08 421.8
1995 07 561·8
1995 06 201.8
1995 05 661.8
1995 04 941.7
1995 03 501.7
1995 02 251.8
1995 01 851.6
1994 12 192·0
1994 11 181·7
1993 12 751.8
1993 11 151·7
1993 10 411·9
1993 09 151.6
1993 08 571.7
1993 07 752·0
1993 06 111.7
1993 05 231.9
1993 04 841·8
1993 03 91·6
1993 02 51.7
1993 01 501.7
1992 12 941.5
1992 11 861.7
1992 10 221.6
1992 09 261·9
1992 08 501.7
1992 07 01·8
1992 06 881.7
1992 05 81·7
1992 04 401.7
1992 03 711·8
1992 02 541·7
1992 01 791·7
1991 12 761·7
1991 11 431.5
1991 10 951.8
1991 09 441·6
1991 08 971·8
1991 07 842.0
1991 06 111.9
1991 05 351.8
1991 04 651.7
1991 03 891.8
1991 02 281·8
1991 01 91.5
1990 12 681.7
1990 11 771.7
1990 10 961.7
1990 09 471·8
1990 08 191·9
1990 07 931.8
1990 06 911·7
1990 05 571·5
1990 04 571·8
1990 03 41·7
1990 02 121.5
1990 01 692.0
1989 12 441·5
1989 11 61.8
1989 10 861.6
1989 09 411.6
1989 08 671.6
1989 07 181·5
1989 06 621.7
1989 05 541·7
1989 04 401·6
1989 03 841·6
1989 02 161·6
1989 01 141·8
1988 12 11.6
1988 11 721·4
1988 10 491·5
1988 09 541·4
1988 08 121.4
1988 07 771.6
1988 06 861·6
1988 05 301·5
1988 04 621.5
1988 03 191.6
1988 02 771.5
1988 01 231·7
1987 12 631.7
1987 11 411·7
1987 10 971.7
1987 09 411·7
1987 08 531·6
1987 07 121.5
1987 06 481·5
1987 05 141·7
1987 04 951·6
1987 03 271.7
1987 02 541·6
1987 01 01.7
1986 12 771·5
1986 11 51.4
1986 10 651.7
1986 09 811.6
1986 08 121·5
1986 07 891.5
1986 06 581.6
1986 05 621.8
1986 04 381·7
1986 03 501·6
1986 02 331.6
1986 01 751.6
1985 12 181·7
1985 11 801·6
1985 10 141·6
1985 09 781.6
1985 08 391·8
1985 07 01·8
1985 06 531.8
1985 05 511.6
1985 04 141·6
1985 03 541·6
1985 02 251·6
1985 01 21·6
1984 12 821·6
1984 11 101·7
1984 10 291·6
1984 09 621·6
1984 08 51·5
1984 07 621·6
1984 06 931·4
1984 05 871·5
1984 04 711·5
1984 03 311.6
1984 02 651.7
1984 01 601.6
1983 12 931.5
1983 11 591.6
1983 10 211·6
1983 09 861·8
1983 08 91·7
1983 07 171.7
1983 06 621.5
1983 05 981·7
1983 04 821.6
1983 03 981.6
1983 02 131·6
1983 01 531.6
1982 12 991.7
1982 11 211·7
1982 10 251.6
1982 09 311.5
1982 08 741·5
1982 07 311.6
1982 06 731.6
1982 05 401·6
1982 04 441·6
1982 03 971.7
1982 02 571.6
1982 01 111·5
1981 12 731·6
1981 11 121.5
1981 10 21.5
1981 09 01·4
1981 08 481·5
1981 07 961·5
1981 06 601·5
1981 05 901·7
1981 04 821·7
1981 03 941.6
1981 02 51.6
1981 01 881·5
1980 12 131·6
1980 11 741·5
1980 10 371.7
1980 09 231·5
1980 08 41·4
1980 07 301.4
1980 06 831·6
1980 05 551.6
1980 04 421.5
1980 03 811·4
1980 02 931.5
1980 01 631·4
1979 12 421.5
1979 11 731·5
1979 10 421·3
1979 09 551·4
1979 08 401.5
1979 07 731.3
1979 06 301.4
1979 05 621.4
1979 04 991·5
1979 03 761·6
1979 02 821·6
1979 01 411·7
1978 12 81.4
1978 11 11.5
1978 10 501·7
1978 09 731·5
1978 08 791·4
1978 07 931·3
1978 06 91.5
1978 05 661.6
1978 04 501.5
1978 03 201·5
1978 02 581.5
1978 01 511.7
1977 12 841.6
1977 11 761·5
1977 10 241.5
1977 09 841·4
1977 08 691·5
1977 07 811·5
1977 06 561.6
1977 05 471·6
1977 04 181·5
1977 03 791.6
1977 02 311.6
1977 01 461.6
1976 12 681.6
1976 11 391·5
1976 10 481·4
1976 09 151.4
1976 08 841·4
1976 07 551.5
1976 06 331.6
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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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