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2012 04 6734·1
2012 03 7631.1
2012 02 232·0
2012 01 5929.5
2011 12 8729.3
2011 11 2731·9
2011 10 2332.5
2011 09 4831.6
2011 08 5630·8
2011 07 5829·5
2011 06 2631.9
2011 05 1630·9
2011 04 2229·7
2011 03 5029.6
2011 02 2429.1
2011 01 928·8
2010 12 6127.5
2010 11 1031·0
2010 10 5632.0
2010 09 9430.7
2010 08 7529.0
2010 07 7028·2
2010 06 8230.0
2010 05 6729·8
2010 04 8729·9
2010 03 8628·7
2010 02 9328·3
2010 01 4728·8
2009 12 4926·0
2009 11 4028·5
2009 10 028.8
2009 09 7728.7
2009 08 3628.5
2009 07 3927.2
2009 06 4228·5
2009 05 2728·6
2009 04 4827.6
2009 03 1328·2
2009 02 8129·1
2009 01 9127.5
2008 12 1129·3
2008 11 2134·0
2008 10 634·5
2008 09 8734·7
2008 08 7633·3
2008 07 4335·3
2008 06 2836.0
2008 05 6136·1
2008 04 1634·2
2008 03 8634·1
2008 02 8731.2
2008 01 8231.9
2007 12 3432.9
2007 11 8236.8
2007 10 4537·5
2007 09 4239·0
2007 08 5333.1
2007 07 8832·6
2007 06 8934.0
2007 05 6337.5
2007 04 2639·2
2007 03 8439.6
2007 02 3337.9
2007 01 8736.0
2006 12 2636·5
2006 11 7839·2
2006 10 1541.1
2006 09 8439.7
2006 08 5535.2
2006 07 136·3
2006 06 9836.2
2006 05 4838·9
2006 04 3833.5
2006 03 1135.7
2006 02 6838.2
2006 01 9834.7
2005 12 2536.9
2005 11 8839.0
2005 10 4038.7
2005 09 7939.7
2005 08 9238·4
2005 07 3933·9
2005 06 5235·3
2005 05 5838.8
2005 04 3835·1
2005 03 9635.6
2005 02 6534.9
2005 01 3233.5
2004 12 9031·9
2004 11 1635.6
2004 10 6837.2
2004 09 1837.6
2004 08 9835.8
2004 07 8032·9
2004 06 7437.5
2004 05 6137·4
2004 04 3733.9
2004 03 9433.8
2004 02 2134·3
2004 01 3033.6
2003 12 830·3
2003 11 9131·8
2003 10 7234·6
2003 09 2031·9
2003 08 3528·7
2003 07 2830.0
2003 06 1434.7
2003 05 4835.4
2003 04 7034.4
2003 03 8434.3
2003 02 6131.7
2003 01 6032·4
2002 12 8832.6
2002 11 6934·0
2002 10 4933.2
2002 09 2533.9
2002 08 8930.8
2002 07 1229·5
2002 06 4432·1
2002 05 3634·5
2002 04 9830·9
2002 03 7133·2
2002 02 3129·2
2002 01 1328·9
2001 12 6628·7
2001 11 2729·8
2001 10 2430·8
2001 09 034·5
2001 08 6934·6
2001 07 8732·8
2001 06 6133·6
2001 05 6634·3
2001 04 632·9
2001 03 8332·0
2001 02 535.2
2001 01 634·6
2000 12 335.3
2000 11 7140·1
2000 10 4340·6
2000 09 3839·1
2000 08 1135.3
2000 07 3335·5
2000 06 8942.9
2000 05 643·0
2000 04 539·6
2000 03 7538·4
2000 02 8137·9
2000 01 8038.9
1999 12 8537.3
1999 11 3037·7
1999 10 8040.4
1999 09 5440·0
1999 08 7637.1
1999 07 5336.2
1999 06 7638·7
1999 05 4739·6
1999 04 3034·8
1999 03 2739·1
1999 02 8139·2
1999 01 335·2
1998 12 2135.1
1998 11 5839.9
1998 10 3342·4
1998 09 9241·8
1998 08 5039·3
1998 07 7736·5
1998 06 9539·0
1998 05 641.7
1998 04 4238·6
1998 03 4238·5
1998 02 5538.1
1998 01 6736·6
1997 12 4836·4
1997 11 3442·1
1997 10 2643·9
1997 09 1745·2
1997 08 4240·6
1997 07 5939.2
1997 06 4540·6
1997 05 2542.0
1997 04 2637.9
1997 03 5039·1
1997 02 7543·3
1997 01 8740.0
1996 12 2539.2
1996 11 6241·6
1996 10 546.5
1996 09 2145.4
1996 08 8943.1
1996 07 7838·5
1996 06 4741·4
1996 05 7147.5
1996 04 9440·0
1996 03 539.9
1996 02 3940.1
1996 01 636.1
1995 12 3935.7
1995 11 7340·4
1995 10 4542·7
1995 09 2143·4
1995 08 5141.1
1995 07 3939.9
1995 06 5140.4
1995 05 3540.6
1995 04 8041.2
1995 03 8639.6
1995 02 7138·8
1995 01 9138·5
1994 12 138.3
1994 11 2039.4
1994 10 4243.4
1994 09 6041.4
1994 08 1442.4
1994 07 7140.2
1994 06 2843·2
1994 05 3443·4
1994 04 4541.9
1994 03 9842.5
1994 02 1740·4
1994 01 3436·7
1993 12 4432·0
1993 11 8232·5
1993 10 2134·3
1993 09 335·5
1993 08 8733.5
1993 07 2931.8
1993 06 7834.9
1993 05 1134.3
1993 04 7533.6
1993 03 7131.9
1993 02 5233·7
1993 01 5132·5
1992 12 3131.3
1992 11 6433.9
1992 10 2935.8
1992 09 4336·5
1992 08 833·8
1992 07 9132·1
1992 06 2434·6
1992 05 3132.0
1992 04 7930.0
1992 03 5730.9
1992 02 7330.6
1992 01 8433.1
1991 12 4733.6
1991 11 9535.2
1991 10 4036.9
1991 09 9637.0
1991 08 3538.4
1991 07 6133.8
1991 06 1233.8
1991 05 8735.4
1991 04 9531·6
1991 03 3733.7
1991 02 333·7
1991 01 035·7
1990 12 237·6
1990 11 3035.7
1990 10 5138·8
1990 09 441.9
1990 08 5638.3
1990 07 7036·7
1990 06 1739·3
1990 05 9538·2
1990 04 8233.4
1990 03 1537.9
1990 02 9135·3
1990 01 9032.9
1989 12 3137.0
1989 11 4738·0
1989 10 8541.4
1989 09 3544·3
1989 08 7939.1
1989 07 7237.2
1989 06 3740.2
1989 05 9740·3
1989 04 2638·2
1989 03 2138.9
1989 02 935·6
1989 01 7236·0
1988 12 9637·7
1988 11 5139.6
1988 10 9141·3
1988 09 7939·9
1988 08 4241.3
1988 07 4540·1
1988 06 9439·0
1988 05 6136.7
1988 04 3738.2
1988 03 838.0
1988 02 5637.7
1988 01 8835.8
1987 12 8237.2
1987 11 7240·3
1987 10 4140.3
1987 09 5341.5
1987 08 340.5
1987 07 9439·3
1987 06 3638.9
1987 05 7738.5
1987 04 5134·7
1987 03 5536·6
1987 02 5436.5
1987 01 336·9
1986 12 035·8
1986 11 6339.4
1986 10 3441·5
1986 09 040·7
1986 08 5041.4
1986 07 4840·7
1986 06 3737.6
1986 05 6338·6
1986 04 2837·2
1986 03 6837·4
1986 02 5236·8
1986 01 1037.1
1985 12 8437.0
1985 11 439·5
1985 10 9240·1
1985 09 8641.3
1985 08 9237·3
1985 07 6336·6
1985 06 9539·8
1985 05 6039.1
1985 04 5537·7
1985 03 7637.9
1985 02 2335.8
1985 01 2636.2
1984 12 9635.8
1984 11 9938·5
1984 10 6440.0
1984 09 339.5
1984 08 6637.9
1984 07 1635·4
1984 06 3238·1
1984 05 3636·9
1984 04 4135.2
1984 03 3137·0
1984 02 6435·9
1984 01 9234.4
1983 12 2033·1
1983 11 7837.0
1983 10 2339.6
1983 09 6836·1
1983 08 3134.5
1983 07 1232·9
1983 06 9735.5
1983 05 8133·7
1983 04 2231.3
1983 03 1531·6
1983 02 9931·6
1983 01 7632.0
1982 12 6931.5
1982 11 9532·9
1982 10 6732·5
1982 09 2235.5
1982 08 7334.3
1982 07 8134·6
1982 06 6334·7
1982 05 1334.0
1982 04 5830.5
1982 03 3232.0
1982 02 7632.7
1982 01 6932·0
1981 12 7731·7
1981 11 2837·5
1981 10 1838·9
1981 09 3337.7
1981 08 235.1
1981 07 7735·0
1981 06 2836.9
1981 05 7434.9
1981 04 3634·3
1981 03 1035·0
1981 02 6732·8
1981 01 8733·7
1980 12 432·2
1980 11 8335.9
1980 10 2539·2
1980 09 9237.5
1980 08 5534·5
1980 07 7930·6
1980 06 1433·6
1980 05 3134.2
1980 04 6636·0
1980 03 337.6
1980 02 7238·1
1980 01 7438.0
1979 12 3736·2
1979 11 8939.4
1979 10 6142·9
1979 09 1544·0
1979 08 9241·0
1979 07 9140·9
1979 06 7043·5
1979 05 7441.0
1979 04 8336·3
1979 03 9238.3
1979 02 1239.8
1979 01 9435·4
1978 12 8539.0
1978 11 9941.9
1978 10 2442·5
1978 09 4646·8
1978 08 9840·9
1978 07 4341.8
1978 06 7043·7
1978 05 2139·9
1978 04 4835.8
1978 03 8140.3
1978 02 3637·5
1978 01 4136·5
1977 12 8536.5
1977 11 9440·0
1977 10 3739·9
1977 09 4942·0
1977 08 8436.3
1977 07 8935.0
1977 06 1039.4
1977 05 1539.3
1977 04 4635·3
1977 03 9835.0
1977 02 1834.4
1977 01 3134.6
1976 12 9632.3
1976 11 7738.7
1976 10 4838·1
1976 09 1939·2
1976 08 8536·9
1976 07 936·0
1976 06 1436·7
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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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