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2012 04 5217·2
2012 03 6416.0
2012 02 817.3
2012 01 8520.8
2011 12 2221·2
2011 11 5017.6
2011 10 9719.1
2011 09 2619.0
2011 08 7818·7
2011 07 5218·1
2011 06 621.7
2011 05 8518·3
2011 04 6915·9
2011 03 5314.5
2011 02 4814·7
2011 01 520.2
2010 12 7120.3
2010 11 6018·3
2010 10 6016.2
2010 09 5619·2
2010 08 8416·7
2010 07 418.8
2010 06 619.1
2010 05 3215.5
2010 04 3413.8
2010 03 4213·4
2010 02 7215.1
2010 01 5220.3
2009 12 7119·5
2009 11 5517·9
2009 10 7319.2
2009 09 6019.0
2009 08 7018.1
2009 07 5019.7
2009 06 4620·4
2009 05 2620.6
2009 04 3220·2
2009 03 5921·0
2009 02 5423·0
2009 01 4231·5
2008 12 8231.1
2008 11 3831.0
2008 10 8431.4
2008 09 3031.0
2008 08 7132·4
2008 07 6931·3
2008 06 5032.8
2008 05 3137.5
2008 04 7426·9
2008 03 5931·1
2008 02 9029.7
2008 01 1736.0
2007 12 9136·6
2007 11 3932.9
2007 10 6636·1
2007 09 8134·6
2007 08 4831.9
2007 07 6633·1
2007 06 6734.9
2007 05 4234.2
2007 04 9630·0
2007 03 2226.1
2007 02 531.2
2007 01 4437·0
2006 12 841·3
2006 11 1334.9
2006 10 1739.4
2006 09 5638·6
2006 08 8734·3
2006 07 7037.1
2006 06 6838·9
2006 05 7334·8
2006 04 5730·5
2006 03 5130·2
2006 02 4529.1
2006 01 1437.1
2005 12 6935.6
2005 11 3833.6
2005 10 6136.7
2005 09 2237.3
2005 08 9833.1
2005 07 3633·0
2005 06 5335·9
2005 05 6732·3
2005 04 4429·7
2005 03 7724.5
2005 02 8529·4
2005 01 4433·8
2004 12 3435·1
2004 11 1832.1
2004 10 4434·0
2004 09 7034.5
2004 08 1633.1
2004 07 4134·9
2004 06 4434.3
2004 05 9131·5
2004 04 6828.0
2004 03 5223·9
2004 02 2222.1
2004 01 7633·1
2003 12 8828·9
2003 11 8427·8
2003 10 4130.7
2003 09 1829·4
2003 08 329.2
2003 07 9229·6
2003 06 8931.4
2003 05 3729.7
2003 04 6325.6
2003 03 5826.0
2003 02 7925·0
2003 01 7731.9
2002 12 4329.4
2002 11 8934·0
2002 10 4932.2
2002 09 731.7
2002 08 4334.3
2002 07 1633·6
2002 06 6231.5
2002 05 2133·1
2002 04 9027·2
2002 03 9729·6
2002 02 529·6
2002 01 3936.8
2001 12 3331.7
2001 11 1236.1
2001 10 9240·8
2001 09 440·7
2001 08 4840·8
2001 07 6937·7
2001 06 6043.0
2001 05 8541·5
2001 04 3539·6
2001 03 9937·0
2001 02 7239.7
2001 01 7844.9
2000 12 1940·4
2000 11 5942.0
2000 10 1745.5
2000 09 048.1
2000 08 5243·2
2000 07 3043.1
2000 06 647.4
2000 05 9641·9
2000 04 837·7
2000 03 1937·2
2000 02 7935·0
2000 01 3645.7
1999 12 8843·7
1999 11 5740·9
1999 10 9741·5
1999 09 1342.6
1999 08 1642·4
1999 07 242.5
1999 06 4938·3
1999 05 4642·7
1999 04 4538.1
1999 03 3533.4
1999 02 4836·8
1999 01 8040·7
1998 12 4843·0
1998 11 6339.5
1998 10 3141.6
1998 09 8442.6
1998 08 2735.9
1998 07 1641·3
1998 06 6242.0
1998 05 5240.8
1998 04 635·8
1998 03 5333.4
1998 02 2731·5
1998 01 240.5
1997 12 3736.1
1997 11 5436·7
1997 10 4136·3
1997 09 8036.1
1997 08 9434·6
1997 07 2634·3
1997 06 4240.5
1997 05 5436·6
1997 04 7829·4
1997 03 126·2
1997 02 9128.8
1997 01 1940·5
1996 12 1433·9
1996 11 3538·8
1996 10 7632·3
1996 09 9335·8
1996 08 5332·6
1996 07 1033.7
1996 06 1232·5
1996 05 2132.7
1996 04 7028·4
1996 03 3326.6
1996 02 3530·3
1996 01 7238.0
1995 12 6533·8
1995 11 3636·8
1995 10 932.6
1995 09 4037.1
1995 08 6429·8
1995 07 7434.8
1995 06 2136.2
1995 05 4433.0
1995 04 1827.5
1995 03 3026·3
1995 02 8527.3
1995 01 2938·5
1994 12 132·7
1994 11 1034·7
1994 10 3728·5
1994 09 6231.5
1994 08 1430·4
1994 07 4633.2
1994 06 4234.7
1994 05 4027·6
1994 04 8228.3
1994 03 9423·2
1994 02 8723.5
1994 01 8035·9
1993 12 5632·3
1993 11 3730.9
1993 10 8531.9
1993 09 2732·3
1993 08 1230·5
1993 07 8132·5
1993 06 7332·8
1993 05 5030·1
1993 04 4927.3
1993 03 5724.1
1993 02 1525·8
1993 01 4330·4
1992 12 9326·4
1992 11 2229.9
1992 10 9832.0
1992 09 2630·2
1992 08 9428·4
1992 07 5829.6
1992 06 3630·6
1992 05 4129·6
1992 04 2826·5
1992 03 7125.3
1992 02 6724.8
1992 01 6032·8
1991 12 9532·7
1991 11 9336.7
1991 10 5235.0
1991 09 7535·2
1991 08 2135.6
1991 07 8134.6
1991 06 8134.4
1991 05 634·2
1991 04 5529·6
1991 03 1629·6
1991 02 6530.9
1991 01 9737·7
1990 12 7437·4
1990 11 542.1
1990 10 4440·8
1990 09 1739·6
1990 08 7840.1
1990 07 8039.0
1990 06 7943.6
1990 05 6137.6
1990 04 9237·6
1990 03 9735.1
1990 02 5934.3
1990 01 4641·0
1989 12 6644.2
1989 11 3743.0
1989 10 9642.9
1989 09 1942.9
1989 08 7640·6
1989 07 942·0
1989 06 2945.4
1989 05 4739·5
1989 04 2236·6
1989 03 4234.6
1989 02 2037.5
1989 01 2541.1
1988 12 3038·8
1988 11 9442.7
1988 10 5742.6
1988 09 7240.3
1988 08 5038·8
1988 07 4735.6
1988 06 5440·6
1988 05 3138·2
1988 04 5835.0
1988 03 731.7
1988 02 4732·0
1988 01 7435.9
1987 12 5340.5
1987 11 539.6
1987 10 140·6
1987 09 9239.2
1987 08 6236·1
1987 07 9937·7
1987 06 236.5
1987 05 734.4
1987 04 3430.6
1987 03 6929·3
1987 02 6431·9
1987 01 6035·9
1986 12 4536.0
1986 11 2435·8
1986 10 2438·5
1986 09 2337.0
1986 08 9535.1
1986 07 9336.0
1986 06 4634.1
1986 05 8934.7
1986 04 1132.4
1986 03 3528.9
1986 02 1729·7
1986 01 7636·2
1985 12 4133.3
1985 11 3037.2
1985 10 5135.9
1985 09 3036.9
1985 08 6234.0
1985 07 8535·4
1985 06 8537.1
1985 05 2034·1
1985 04 7430·5
1985 03 3227·3
1985 02 8129.7
1985 01 3937.4
1984 12 235.5
1984 11 2736·9
1984 10 2936.6
1984 09 635·5
1984 08 9735·4
1984 07 5335·8
1984 06 4036.2
1984 05 6729.2
1984 04 3427.3
1984 03 1525.7
1984 02 5326·8
1984 01 8931·0
1983 12 1428·5
1983 11 4628·7
1983 10 3129.8
1983 09 6731.4
1983 08 6226·8
1983 07 227·1
1983 06 6126.4
1983 05 2122.3
1983 04 2720·8
1983 03 6419·3
1983 02 5622.3
1983 01 9426·5
1982 12 8726·0
1982 11 4029·4
1982 10 5529·5
1982 09 5531.8
1982 08 4130·3
1982 07 6132·4
1982 06 2032·5
1982 05 9929·5
1982 04 1426·8
1982 03 8326.8
1982 02 3928·6
1982 01 4537.1
1981 12 5636.7
1981 11 8938.1
1981 10 2438.6
1981 09 3738.7
1981 08 4535.9
1981 07 8436.2
1981 06 1540·0
1981 05 4434·9
1981 04 7829.4
1981 03 128.3
1981 02 7329.4
1981 01 6033·7
1980 12 8332.3
1980 11 9634·4
1980 10 8733.3
1980 09 533.1
1980 08 932.6
1980 07 5136·3
1980 06 7039·3
1980 05 2240.2
1980 04 3335.0
1980 03 7232.8
1980 02 5833.6
1980 01 8044.3
1979 12 5340.1
1979 11 9244·9
1979 10 1644.1
1979 09 7542·8
1979 08 9644·4
1979 07 6642·4
1979 06 3247·2
1979 05 2438·5
1979 04 1137.5
1979 03 7631.3
1979 02 1732·7
1979 01 7241.8
1978 12 7640.7
1978 11 3042.6
1978 10 1043·8
1978 09 8941.9
1978 08 8841·2
1978 07 5842·1
1978 06 7442·2
1978 05 6838.0
1978 04 7632.7
1978 03 1730.5
1978 02 9730.2
1978 01 2837.5
1977 12 8735.7
1977 11 9035.7
1977 10 9137.3
1977 09 1437.9
1977 08 9936.1
1977 07 8237.8
1977 06 9541.6
1977 05 9532·0
1977 04 1130·5
1977 03 2527.5
1977 02 7129.0
1977 01 6433·7
1976 12 4832·0
1976 11 7634.2
1976 10 833·9
1976 09 4234.7
1976 08 6230·8
1976 07 1632·8
1976 06 1834.4
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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
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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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