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2012 04 4331.4
2012 03 1930·1
2012 02 1829·7
2012 01 8625.7
2011 12 9431.1
2011 11 1427.9
2011 10 2233.8
2011 09 2132·0
2011 08 9838·3
2011 07 9538.8
2011 06 1523·2
2011 05 4427.0
2011 04 724·9
2011 03 4430·4
2011 02 834.9
2011 01 9627.1
2010 12 9629·0
2010 11 6732.0
2010 10 4230·9
2010 09 4833.5
2010 08 6445.1
2010 07 9642·7
2010 06 7725·2
2010 05 9324.0
2010 04 3826·8
2010 03 8827·2
2010 02 230.3
2010 01 5124·7
2009 12 6830·1
2009 11 2431.1
2009 10 3030.6
2009 09 6635.9
2009 08 2944.2
2009 07 1039.7
2009 06 9925·7
2009 05 728·1
2009 04 2127·4
2009 03 7931·5
2009 02 7131·8
2009 01 6830.1
2008 12 7132·1
2008 11 8736.6
2008 10 3534·1
2008 09 6932·8
2008 08 2740.6
2008 07 1642.7
2008 06 429.4
2008 05 5223.8
2008 04 6730.9
2008 03 7237·9
2008 02 1437·1
2008 01 8931.4
2007 12 9032.5
2007 11 8734·9
2007 10 3035.5
2007 09 7233·5
2007 08 2137.5
2007 07 1837.7
2007 06 3923.0
2007 05 2124·6
2007 04 1132.3
2007 03 4637.0
2007 02 5433·0
2007 01 8029·0
2006 12 3531·3
2006 11 7835.7
2006 10 1330·7
2006 09 1831.1
2006 08 9441.5
2006 07 4642.8
2006 06 7923·0
2006 05 2929.5
2006 04 1430.6
2006 03 632.8
2006 02 3934.0
2006 01 3335.1
2005 12 4331·0
2005 11 3933.6
2005 10 734·3
2005 09 7332.1
2005 08 5939.3
2005 07 5441·7
2005 06 2023.4
2005 05 1925·0
2005 04 6132.0
2005 03 8030·2
2005 02 4235·9
2005 01 6529·6
2004 12 7431·7
2004 11 7533.7
2004 10 6033·6
2004 09 3032·7
2004 08 4941·5
2004 07 2142·4
2004 06 8724·0
2004 05 5826·9
2004 04 6228.4
2004 03 2332.6
2004 02 6131.1
2004 01 1825·3
2003 12 1332.8
2003 11 1532.4
2003 10 4533.4
2003 09 534.8
2003 08 2742·1
2003 07 5140.5
2003 06 2722.5
2003 05 3726·7
2003 04 5531.6
2003 03 1531.5
2003 02 1932.1
2003 01 5925.5
2002 12 7135·5
2002 11 1234·2
2002 10 6035.4
2002 09 4037·2
2002 08 7740.4
2002 07 7540.3
2002 06 1225.1
2002 05 7329·4
2002 04 9834·9
2002 03 5929·9
2002 02 6432.3
2002 01 7929.6
2001 12 8431·2
2001 11 4737·5
2001 10 2836·8
2001 09 133·7
2001 08 1036.0
2001 07 4537.8
2001 06 4220·0
2001 05 827.0
2001 04 7831.1
2001 03 8634·2
2001 02 6930.4
2001 01 9529·4
2000 12 1136.0
2000 11 2435.3
2000 10 9732.8
2000 09 8030.5
2000 08 6237·5
2000 07 4338·0
2000 06 3923.8
2000 05 928·9
2000 04 531.6
2000 03 4835.6
2000 02 3234·7
2000 01 4930·4
1999 12 4033·2
1999 11 7235·9
1999 10 4034.7
1999 09 9532·1
1999 08 9340.8
1999 07 7033·3
1999 06 5119·8
1999 05 6730.8
1999 04 1430.6
1999 03 2634·1
1999 02 7734·6
1999 01 831.6
1998 12 7935.1
1998 11 4543.0
1998 10 5631·8
1998 09 8731·6
1998 08 8837.9
1998 07 5837.8
1998 06 5127.0
1998 05 9925.6
1998 04 6732·9
1998 03 2434.8
1998 02 5133·5
1998 01 6329.2
1997 12 6533·7
1997 11 2238·1
1997 10 6735·8
1997 09 2333.5
1997 08 5946.5
1997 07 6038·8
1997 06 3823.5
1997 05 4827.2
1997 04 4828.1
1997 03 7038·3
1997 02 2739·4
1997 01 3228.5
1996 12 5841.2
1996 11 834·9
1996 10 2138.1
1996 09 9533.4
1996 08 4043.9
1996 07 5641·6
1996 06 3423.6
1996 05 7929·6
1996 04 6836·7
1996 03 2135·2
1996 02 336·4
1996 01 5633·3
1995 12 4437·4
1995 11 3334.8
1995 10 9238.8
1995 09 1830.5
1995 08 9245.6
1995 07 5047·3
1995 06 8723.9
1995 05 8628·9
1995 04 6429·0
1995 03 5332.9
1995 02 333.2
1995 01 228.6
1994 12 3337·8
1994 11 5034.9
1994 10 7737.0
1994 09 3628.6
1994 08 250·2
1994 07 7137.4
1994 06 7124·6
1994 05 8328.1
1994 04 9432.5
1994 03 7329·3
1994 02 7439.0
1994 01 6226.8
1993 12 6134.4
1993 11 3934.6
1993 10 9930.9
1993 09 1626.3
1993 08 7843·5
1993 07 7437·1
1993 06 8420·6
1993 05 1423.8
1993 04 4629.6
1993 03 1030.5
1993 02 9033·1
1993 01 5225·7
1992 12 8934.9
1992 11 332.4
1992 10 733.8
1992 09 4728·6
1992 08 5841.5
1992 07 3739.4
1992 06 4818·2
1992 05 4526.3
1992 04 2929·7
1992 03 1633·9
1992 02 4934.4
1992 01 1427.6
1991 12 139.4
1991 11 7434·0
1991 10 7435·2
1991 09 4932·1
1991 08 140.4
1991 07 6536.3
1991 06 1120·8
1991 05 6826·3
1991 04 7829·1
1991 03 7333·3
1991 02 7334·2
1991 01 1628.8
1990 12 932.9
1990 11 326.1
1990 10 9733.9
1990 09 6225·8
1990 08 9337·6
1990 07 8830.8
1990 06 4716.3
1990 05 025.3
1990 04 5627·4
1990 03 8428·7
1990 02 1130.5
1990 01 4931.3
1989 12 4832.0
1989 11 7229·0
1989 10 027.7
1989 09 5321·9
1989 08 4539.4
1989 07 6033.5
1989 06 5415·6
1989 05 8225.4
1989 04 4623.2
1989 03 7825·3
1989 02 3528·4
1989 01 2924·4
1988 12 7828.3
1988 11 8429.0
1988 10 3127.4
1988 09 1426.1
1988 08 9137·2
1988 07 5934.8
1988 06 5518·5
1988 05 8126·3
1988 04 6026·7
1988 03 1030·1
1988 02 4430·5
1988 01 9928·6
1987 12 8628.6
1987 11 6928.7
1987 10 6229·8
1987 09 6222.9
1987 08 9439·0
1987 07 9137.3
1987 06 9718·9
1987 05 8921.1
1987 04 3429·0
1987 03 5931·8
1987 02 6135·5
1987 01 2525.4
1986 12 8133·7
1986 11 8032·2
1986 10 9335·5
1986 09 3830.7
1986 08 3738.3
1986 07 8531.9
1986 06 5418·3
1986 05 2424·1
1986 04 2729·9
1986 03 3031·0
1986 02 3431.3
1986 01 9930·5
1985 12 029.0
1985 11 9830.7
1985 10 4531.8
1985 09 1028·1
1985 08 3343.8
1985 07 9437·4
1985 06 2419·9
1985 05 2525.7
1985 04 2531.8
1985 03 5130.8
1985 02 3630.8
1985 01 3929.0
1984 12 233·2
1984 11 2629·8
1984 10 6731·2
1984 09 6929·6
1984 08 1542.6
1984 07 9941.3
1984 06 3020.3
1984 05 6229.2
1984 04 3926.8
1984 03 7730.6
1984 02 6431.0
1984 01 8526.8
1983 12 7432·2
1983 11 9336.4
1983 10 3234·1
1983 09 3331·2
1983 08 4646·6
1983 07 341.2
1983 06 2022.0
1983 05 2425·6
1983 04 427·9
1983 03 8830.6
1983 02 4331·4
1983 01 429·2
1982 12 2531·3
1982 11 5532·3
1982 10 3731·1
1982 09 4134.3
1982 08 947.2
1982 07 3641.5
1982 06 6724·2
1982 05 3026·4
1982 04 8229.1
1982 03 8731·5
1982 02 1934·3
1982 01 8928.3
1981 12 9231.4
1981 11 9032.2
1981 10 732.3
1981 09 6330.4
1981 08 1742·0
1981 07 5236·8
1981 06 6920·5
1981 05 2029.7
1981 04 5625.8
1981 03 431.7
1981 02 6732·0
1981 01 5626·6
1980 12 3530.7
1980 11 335·2
1980 10 9035·8
1980 09 8930.9
1980 08 441·0
1980 07 3040.9
1980 06 4921·0
1980 05 6324.3
1980 04 3929·1
1980 03 9337·8
1980 02 8435.7
1980 01 4729.0
1979 12 4031·6
1979 11 2231.8
1979 10 5732.7
1979 09 3627.5
1979 08 3237.1
1979 07 7537.9
1979 06 5520·1
1979 05 4826·7
1979 04 6527·5
1979 03 3330·3
1979 02 9334·8
1979 01 2831.5
1978 12 1635.8
1978 11 332·4
1978 10 732.4
1978 09 4626·9
1978 08 8442·6
1978 07 1638·5
1978 06 6120·3
1978 05 9428·5
1978 04 9628·4
1978 03 2932.3
1978 02 4230.4
1978 01 9226·6
1977 12 032·7
1977 11 2431·8
1977 10 6433.8
1977 09 8527.2
1977 08 7344·2
1977 07 740·5
1977 06 6420·6
1977 05 4226·5
1977 04 1626·1
1977 03 1031.5
1977 02 533·5
1977 01 5629.1
1976 12 5234·2
1976 11 9036.5
1976 10 7532·1
1976 09 4729·8
1976 08 3444.4
1976 07 2839·1
1976 06 8723.5
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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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