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Link to Series in Level 0 Subscription Site
2012 04 60207.
2012 03 33212·
2012 02 43277.
2012 01 25201.
2011 12 36202.
2011 11 37213.
2011 10 91203.
2011 09 88187.
2011 08 3151.
2011 07 65173·
2011 06 64202.
2011 05 76189.
2011 04 12222.
2011 03 98191.
2011 02 77202.
2011 01 31183·
2010 12 38186.
2010 11 43194·
2010 10 66193.
2010 09 23149·
2010 08 81195·
2010 07 31197·
2010 06 95191.
2010 05 47223.
2010 04 67205·
2010 03 19226·
2010 02 51205·
2010 01 20246.
2009 12 47213.
2009 11 89196.
2009 10 48207·
2009 09 88241.
2009 08 95278·
2009 07 48268.
2009 06 23263·
2009 05 19254.
2009 04 12268·
2009 03 26270·
2009 02 39262.
2009 01 8308·
2008 12 24261.
2008 11 80279·
2008 10 84268·
2008 09 74303·
2008 08 80299·
2008 07 93300·
2008 06 71288·
2008 05 61309.
2008 04 57327·
2008 03 71310.
2008 02 37319.
2008 01 38276·
2007 12 55323.
2007 11 46307.
2007 10 47329·
2007 09 99296.
2007 08 98273.
2007 07 73313.
2007 06 87306·
2007 05 63294·
2007 04 38304·
2007 03 35308.
2007 02 71338.
2007 01 75350.
2006 12 50364.
2006 11 39361·
2006 10 36392·
2006 09 4364·
2006 08 34331.
2006 07 16312.
2006 06 45345.
2006 05 43340.
2006 04 15326·
2006 03 23320·
2006 02 86364·
2006 01 12304.
2005 12 45311·
2005 11 40287·
2005 10 73289·
2005 09 56264·
2005 08 97287.
2005 07 76310·
2005 06 42289.
2005 05 42268·
2005 04 74260.
2005 03 62283·
2005 02 57248.
2005 01 66278.
2004 12 0286.
2004 11 54293.
2004 10 6279·
2004 09 46299.
2004 08 25318·
2004 07 33268.
2004 06 2265·
2004 05 27282·
2004 04 25282·
2004 03 8287.
2004 02 82306·
2004 01 78318·
2003 12 1277·
2003 11 8287.
2003 10 9243.
2003 09 92308·
2003 08 77269.
2003 07 92277·
2003 06 72244·
2003 05 90297·
2003 04 5305.
2003 03 39305·
2003 02 83298.
2003 01 14297·
2002 12 58309.
2002 11 58285.
2002 10 80321·
2002 09 35360.
2002 08 39308·
2002 07 80293·
2002 06 26309.
2002 05 47301·
2002 04 72301·
2002 03 61296.
2002 02 8301.
2002 01 68271·
2001 12 8273.
2001 11 83300·
2001 10 41312.
2001 09 43311.
2001 08 22309.
2001 07 53351·
2001 06 61355·
2001 05 41352·
2001 04 14335·
2001 03 2332·
2001 02 32340·
2001 01 56348·
2000 12 10372·
2000 11 88392.
2000 10 41390.
2000 09 7390.
2000 08 60385·
2000 07 90360·
2000 06 1357.
2000 05 38363·
2000 04 40376·
2000 03 17341·
2000 02 51349.
2000 01 18365.
1999 12 50372.
1999 11 0345·
1999 10 52334·
1999 09 43335.
1999 08 15365·
1999 07 96370.
1999 06 94378.
1999 05 30360.
1999 04 86366·
1999 03 85381·
1999 02 88389·
1999 01 24393.
1998 12 39435.
1998 11 76401·
1998 10 73413.
1998 09 93407·
1998 08 73394·
1998 07 99353.
1998 06 12426·
1998 05 34378·
1998 04 13402·
1998 03 11391.
1998 02 93366·
1998 01 63365·
1997 12 12350·
1997 11 93343.
1997 10 27334·
1997 09 26356.
1997 08 43359·
1997 07 53346·
1997 06 55319.
1997 05 91310·
1997 04 7338.
1997 03 22401·
1997 02 37361·
1997 01 53362.
1996 12 29338·
1996 11 57324.
1996 10 62325.
1996 09 31322.
1996 08 61303·
1996 07 39323·
1996 06 44327.
1996 05 69346·
1996 04 77323·
1996 03 75330.
1996 02 19301.
1996 01 36323·
1995 12 77332·
1995 11 97342.
1995 10 51323.
1995 09 26312.
1995 08 88301·
1995 07 61292·
1995 06 28292·
1995 05 59305·
1995 04 59287.
1995 03 48302·
1995 02 62287·
1995 01 78242·
1994 12 66237.
1994 11 66272.
1994 10 92277.
1994 09 53277.
1994 08 9280·
1994 07 47276.
1994 06 80282.
1994 05 78226·
1994 04 14282·
1994 03 46270.
1994 02 14281·
1994 01 71340.
1993 12 31256.
1993 11 45241.
1993 10 8253·
1993 09 78252·
1993 08 35263.
1993 07 52262.
1993 06 98210.
1993 05 67238.
1993 04 27200.
1993 03 97218·
1993 02 48239.
1993 01 33238·
1992 12 33244.
1992 11 37235.
1992 10 46215.
1992 09 94240.
1992 08 2279.
1992 07 55240.
1992 06 5255.
1992 05 95238.
1992 04 9250·
1992 03 56236·
1992 02 62243·
1992 01 4236.
1991 12 57223.
1991 11 73238.
1991 10 81219.
1991 09 17228.
1991 08 69189.
1991 07 61243·
1991 06 49238.
1991 05 51258.
1991 04 96249·
1991 03 3265·
1991 02 80262.
1991 01 52257.
1990 12 14269·
1990 11 5265.
1990 10 10291.
1990 09 88287.
1990 08 23285·
1990 07 99284.
1990 06 4304·
1990 05 54297·
1990 04 48314.
1990 03 41323·
1990 02 48305·
1990 01 68320·
1989 12 40321.
1989 11 14308·
1989 10 56301.
1989 09 76292.
1989 08 74294.
1989 07 23310.
1989 06 66263.
1989 05 45326·
1989 04 51307.
1989 03 1275.
1989 02 41291·
1989 01 70280.
1988 12 95307·
1988 11 3293.
1988 10 68296.
1988 09 71301·
1988 08 58307·
1988 07 13293.
1988 06 60278.
1988 05 90260.
1988 04 14248.
1988 03 35280.
1988 02 55286.
1988 01 99279.
1987 12 64296.
1987 11 3289.
1987 10 17307·
1987 09 90321·
1987 08 34335·
1987 07 72276.
1987 06 33273.
1987 05 83273.
1987 04 74259·
1987 03 24263·
1987 02 16270.
1987 01 21237.
1986 12 59251·
1986 11 67262·
1986 10 3283·
1986 09 75253.
1986 08 90220.
1986 07 31249·
1986 06 58277·
1986 05 38256.
1986 04 92265·
1986 03 73268.
1986 02 69255.
1986 01 29262·
1985 12 15236.
1985 11 74265·
1985 10 48247·
1985 09 93240.
1985 08 35241.
1985 07 43264.
1985 06 34251.
1985 05 99267·
1985 04 52263·
1985 03 9256·
1985 02 89244.
1985 01 40264·
1984 12 91240·
1984 11 30232.
1984 10 1251·
1984 09 36224.
1984 08 4235·
1984 07 87240·
1984 06 83256.
1984 05 31181·
1984 04 65210·
1984 03 88179·
1984 02 73228·
1984 01 95187·
1983 12 75191.
1983 11 63183·
1983 10 34164.
1983 09 21194·
1983 08 59201.
1983 07 69188.
1983 06 54200·
1983 05 28210.
1983 04 67200·
1983 03 88202·
1983 02 45197.
1983 01 61204.
1982 12 76221·
1982 11 27213·
1982 10 46208·
1982 09 88218·
1982 08 85194·
1982 07 17190·
1982 06 19188.
1982 05 5194.
1982 04 19189.
1982 03 15214·
1982 02 52220·
1982 01 29213.
1981 12 30212·
1981 11 2217.
1981 10 59219.
1981 09 6218.
1981 08 92190·
1981 07 85235.
1981 06 76234·
1981 05 4253.
1981 04 6262.
1981 03 96233·
1981 02 68240.
1981 01 17268.
1980 12 97244.
1980 11 92233·
1980 10 22237·
1980 09 65243·
1980 08 16247.
1980 07 54256·
1980 06 50255·
1980 05 92242·
1980 04 38242.
1980 03 88254·
1980 02 91259·
1980 01 67262.
1979 12 63283·
1979 11 27270·
1979 10 7256.
1979 09 84251.
1979 08 18230·
1979 07 26274·
1979 06 87256.
1979 05 62227.
1979 04 51273.
1979 03 68275·
1979 02 43278·
1979 01 45285·
1978 12 39280·
1978 11 60275.
1978 10 13274.
1978 09 2277·
1978 08 82280·
1978 07 32267.
1978 06 60265.
1978 05 29258.
1978 04 6244·
1978 03 42237.
1978 02 73232·
1978 01 43226.
1977 12 60227.
1977 11 71226.
1977 10 63234·
1977 09 89231.
1977 08 21225·
1977 07 26197·
1977 06 69219.
1977 05 35202.
1977 04 88221·
1977 03 38207.
1977 02 53211.
1977 01 77211·
1976 12 87207.
1976 11 65220·
1976 10 4210.
1976 09 34214·
1976 08 68219.
1976 07 87219.
1976 06 35214·
1976 05 48233·
1976 04 7229·
1976 03 11245.
1976 02 83243·
1976 01 91238.
1975 12 4251.
1975 11 70238.
1975 10 11240.
1975 09 55231·
1975 08 85222·
1975 07 19235.
1975 06 7233·
1975 05 59235.
1975 04 0230.
1975 03 41218·
1975 02 84224.
1975 01 49216.
1974 12 24208.
1974 11 41204·
1974 10 80232·
1974 09 93256·
1974 08 58243.
1974 07 52211·
1974 06 58263·
1974 05 85227·
1974 04 26228·
1974 03 30228·
1974 02 5235·
1974 01 45246·
1973 12 81248.
1973 11 57247·
1973 10 35239·
1973 09 16235.
1973 08 96238.
1973 07 40246.
1973 06 86270·
1973 05 68236·
1973 04 72237·
1973 03 10234.
1973 02 19226·
1973 01 95208.
1972 12 35205·
1972 11 23201.
1972 10 24205.
1972 09 15206·
1972 08 35202.
1972 07 62192.
1972 06 13186.
1972 05 74199.
1972 04 48190.
1972 03 33201·
1972 02 25191.
1972 01 40210.
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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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