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2012 04 592·1
2012 03 222·1
2012 02 842.1
2012 01 182.1
2011 12 182·1
2011 11 822·2
2011 10 92.1
2011 09 312.1
2011 08 562·1
2011 07 522·1
2011 06 482·0
2011 05 552.1
2011 04 232·2
2011 03 162·2
2011 02 122.1
2011 01 342.1
2010 12 942.2
2010 11 782·1
2010 10 412·2
2010 09 382·1
2010 08 712.2
2010 07 722·2
2010 06 972.2
2010 05 602.1
2010 04 782.2
2010 03 532.2
2010 02 682·1
2010 01 202·1
2009 12 662.2
2009 11 32.1
2009 10 672·2
2009 09 622·2
2009 08 102·2
2009 07 292.2
2009 06 312·2
2009 05 552.2
2009 04 112.2
2009 03 622·2
2009 02 242.2
2009 01 932.2
2008 12 932.2
2008 11 602.2
2008 10 342.2
2008 09 952.0
2008 08 82.1
2008 07 32·1
2008 06 732·1
2008 05 62·1
2008 04 311·9
2008 03 982·0
2008 02 802·0
2008 01 942·0
2007 12 622·0
2007 11 782.1
2007 10 162·0
2007 09 542·0
2007 08 261.9
2007 07 982·0
2007 06 712·0
2007 05 52·0
2007 04 752.0
2007 03 412·1
2007 02 571·9
2007 01 912.1
2006 12 822·0
2006 11 121·9
2006 10 111·9
2006 09 811·9
2006 08 501.9
2006 07 451.9
2006 06 981.9
2006 05 702.0
2006 04 22·0
2006 03 942·0
2006 02 42.0
2006 01 751·9
2005 12 902·0
2005 11 421·9
2005 10 422.0
2005 09 431.9
2005 08 891·9
2005 07 962·0
2005 06 512.0
2005 05 412·0
2005 04 992·0
2005 03 872·1
2005 02 942.0
2005 01 632·1
2004 12 452·0
2004 11 712.0
2004 10 572·1
2004 09 301·9
2004 08 792.1
2004 07 312·1
2004 06 552.2
2004 05 852·2
2004 04 752.2
2004 03 732.1
2004 02 252·1
2004 01 972·1
2002 12 342.1
2002 11 292·1
2002 10 292.1
2002 09 612·1
2002 08 812·2
2002 07 552.1
2002 06 572.2
2002 05 952.1
2002 04 672·2
2002 03 332.2
2002 02 202·2
2002 01 442.0
2001 12 672.1
2001 11 702.3
2001 10 562·2
2001 09 762·1
2001 08 812.0
2001 07 972·1
2001 06 292·0
2001 05 872.0
2001 04 352.0
2001 03 712·0
2001 02 271.9
2001 01 952.0
2000 12 791·9
2000 11 731.9
2000 10 612·0
2000 09 431·9
2000 08 892.0
2000 07 111.9
2000 06 711.9
2000 05 31·9
2000 04 641·9
2000 03 152·0
2000 02 191.9
2000 01 661.9
1999 12 312·0
1999 11 431.9
1999 10 931.9
1999 09 541·9
1999 08 402.0
1999 07 761·9
1999 06 51.9
1999 05 92.0
1999 04 662.0
1999 03 212.1
1999 02 942.0
1999 01 12.1
1998 12 92·0
1998 11 92.0
1998 10 232.0
1998 09 251·8
1998 08 951·9
1998 07 982.0
1998 06 792·0
1998 05 982·0
1998 04 752.0
1998 03 671.9
1998 02 762·0
1998 01 662·0
1997 12 231·9
1997 11 262·0
1997 10 512·0
1997 09 981.9
1997 08 401·9
1997 07 42.0
1997 06 671.9
1997 05 872.1
1997 04 522.0
1997 03 592.0
1997 02 122·0
1997 01 522·0
1996 12 81·9
1996 11 722.0
1996 10 992.1
1996 09 392·1
1996 08 852·1
1996 07 492.0
1996 06 662.1
1996 05 162.0
1996 04 832.1
1996 03 242.0
1996 02 752.0
1996 01 772·0
1995 12 262.0
1995 11 512.0
1995 10 151·9
1995 09 412.0
1995 08 662·0
1995 07 142·0
1995 06 991.9
1995 05 532·0
1995 04 782·0
1995 03 172.0
1995 02 642·0
1995 01 822.0
1994 12 621.5
1994 11 941·5
1993 12 731·9
1993 11 211·9
1993 10 431·9
1993 09 11.9
1993 08 141·9
1993 07 902·0
1993 06 732·0
1993 05 192.0
1993 04 11·9
1993 03 342·0
1993 02 262.0
1993 01 542.0
1992 12 702.0
1992 11 202.0
1992 10 22.0
1992 09 401.9
1992 08 852.0
1992 07 442·0
1992 06 281·9
1992 05 321·9
1992 04 342·0
1992 03 241·9
1992 02 531·9
1992 01 121·9
1991 12 301·9
1991 11 51.9
1991 10 531·9
1991 09 861·9
1991 08 101·9
1991 07 561.9
1991 06 291.9
1991 05 862·0
1991 04 372.0
1991 03 702.0
1991 02 51.8
1991 01 701.9
1990 12 01·8
1990 11 681·8
1990 10 331.9
1990 09 181.8
1990 08 111.8
1990 07 931.8
1990 06 871.8
1990 05 371.9
1990 04 81·9
1990 03 141·8
1990 02 671.8
1990 01 581·8
1989 12 541.9
1989 11 251.9
1989 10 01·9
1989 09 391·8
1989 08 361·9
1989 07 461.8
1989 06 361.8
1989 05 621.8
1989 04 691.8
1989 03 211.8
1989 02 501.8
1989 01 311.8
1988 12 891·7
1988 11 191.7
1988 10 421·7
1988 09 811.7
1988 08 601·8
1988 07 341.7
1988 06 381·7
1988 05 661·7
1988 04 691.7
1988 03 851·7
1988 02 881·8
1988 01 691.8
1987 12 291.8
1987 11 161.8
1987 10 681·8
1987 09 961.7
1987 08 791.8
1987 07 971·8
1987 06 781.8
1987 05 781.8
1987 04 801·7
1987 03 211·8
1987 02 431·8
1987 01 741·7
1986 12 221.8
1986 11 81·8
1986 10 151·7
1986 09 631.8
1986 08 161·8
1986 07 21·8
1986 06 671.8
1986 05 541.8
1986 04 21.8
1986 03 721.8
1986 02 11·8
1986 01 771·8
1985 12 401·7
1985 11 121.7
1985 10 421·7
1985 09 891·8
1985 08 211.7
1985 07 411.8
1985 06 401·8
1985 05 711·8
1985 04 561·7
1985 03 41·8
1985 02 711·7
1985 01 321.8
1984 12 831.7
1984 11 691.8
1984 10 351.8
1984 09 11.7
1984 08 651·8
1984 07 311·8
1984 06 571·8
1984 05 351·8
1984 04 901.8
1984 03 91.7
1984 02 891·8
1984 01 171.8
1983 12 721.8
1983 11 471.8
1983 10 51·8
1983 09 531·8
1983 08 471.7
1983 07 141.8
1983 06 51·8
1983 05 751·8
1983 04 791.8
1983 03 41·8
1983 02 161.8
1983 01 391.8
1982 12 561.8
1982 11 371.8
1982 10 871.7
1982 09 261·8
1982 08 901·8
1982 07 561.8
1982 06 941.8
1982 05 441.8
1982 04 201.8
1982 03 311.8
1982 02 371·8
1982 01 251·7
1981 12 81.7
1981 11 561.7
1981 10 421·7
1981 09 241.7
1981 08 421·7
1981 07 491·7
1981 06 591.7
1981 05 231·7
1981 04 361·7
1981 03 561.7
1981 02 631.7
1981 01 301·7
1980 12 261·7
1980 11 451.7
1980 10 551.7
1980 09 751.7
1980 08 761.7
1980 07 111.8
1980 06 611.7
1980 05 161·7
1980 04 741.7
1980 03 721.7
1980 02 301.7
1980 01 331·7
1979 12 331·7
1979 11 731·7
1979 10 381·7
1979 09 341.7
1979 08 911.7
1979 07 821·7
1979 06 851·7
1979 05 511·7
1979 04 91.7
1979 03 951·7
1979 02 971.7
1979 01 391.7
1978 12 771.6
1978 11 291·6
1978 10 241·7
1978 09 811.7
1978 08 81.7
1978 07 301·6
1978 06 421·6
1978 05 831·7
1978 04 381.6
1978 03 661·7
1978 02 511·7
1978 01 771.8
1977 12 321·7
1977 11 321.8
1977 10 761.7
1977 09 191.7
1977 08 761·7
1977 07 471.7
1977 06 681.7
1977 05 921.8
1977 04 841.8
1977 03 541·8
1977 02 21.8
1977 01 11.7
1976 12 941·8
1976 11 231.8
1976 10 791.7
1976 09 791·8
1976 08 691·7
1976 07 481·8
1976 06 231.8
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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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