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2012 04 213·8
2012 03 8317.1
2012 02 8314.0
2012 01 6811·5
2011 12 279.0
2011 11 5019·0
2011 10 3320.9
2011 09 9823·6
2011 08 4917·9
2011 07 4826.9
2011 06 159.9
2011 05 5814·5
2011 04 1917.9
2011 03 5622.8
2011 02 4213.9
2011 01 9214.6
2010 12 1216.2
2010 11 8316.9
2010 10 5222.9
2010 09 6927·9
2010 08 3022·3
2010 07 5922.4
2010 06 818·3
2010 05 8314.9
2010 04 9623·2
2010 03 4117·2
2010 02 9718.3
2010 01 5414·0
2009 12 6219.8
2009 11 1227·9
2009 10 3424.0
2009 09 2523·9
2009 08 336·2
2009 07 7736·9
2009 06 5429·5
2009 05 6712·7
2009 04 1912·7
2009 03 6811·7
2009 02 2218·7
2009 01 7220·8
2008 12 3617.9
2008 11 4222.0
2008 10 2642·7
2008 09 6035.2
2008 08 430·9
2008 07 8042.3
2008 06 7735·7
2008 05 7527·7
2008 04 9822.1
2008 03 9032·2
2008 02 1542·5
2008 01 8730.7
2007 12 2041.3
2007 11 229.4
2007 10 139·1
2007 09 8939·5
2007 08 9326·9
2007 07 7424.1
2007 06 2520.7
2007 05 15·8
2007 04 7024·9
2007 03 8721·0
2007 02 9813·3
2007 01 6710.3
2006 12 2411.0
2006 11 4714·4
2006 10 5925.8
2006 09 5539.0
2006 08 5740.8
2006 07 8744·0
2006 06 7022.7
2006 05 6029·1
2006 04 9436.6
2006 03 6323.1
2006 02 2023.1
2006 01 234·7
2005 12 8527·6
2005 11 5634·3
2005 10 2111.0
2005 09 2426·2
2005 08 544·1
2005 07 7439·0
2005 06 1120·4
2005 05 9515·6
2005 04 5622.2
2005 03 4733·9
2005 02 5341·6
2005 01 1024·3
2004 12 6210.8
2004 11 3333.2
2004 10 3532·8
2004 09 8831·2
2004 08 7346·1
2004 07 1426·6
2004 06 7033·1
2004 05 7219.2
2004 04 6630·5
2004 03 9519·8
2004 02 9647·0
2004 01 3326.9
2003 12 4116·4
2003 11 832.5
2003 10 7638·2
2003 09 6325.0
2003 08 2228.8
2003 07 1125.3
2003 06 9723.8
2003 05 835.4
2003 04 6118·4
2003 03 8425.2
2003 02 7217·2
2003 01 3726·8
2002 12 3232.6
2002 11 3513·0
2002 10 4025·3
2002 09 9212.4
2002 08 3723.0
2002 07 9431·0
2002 06 6316·4
2002 05 4525.3
2002 04 033.7
2002 03 2018·3
2002 02 2946·3
2002 01 141·3
2001 12 7232·2
2001 11 9218.2
2001 10 5125.5
2001 09 4230·0
2001 08 2929·9
2001 07 1924·5
2001 06 672·0
2001 05 017·7
2001 04 7030·1
2001 03 3125·9
2001 02 3950·9
2001 01 8139·6
2000 12 2132.7
2000 11 8650.1
2000 10 5715.3
2000 09 448.5
2000 08 3326·2
2000 07 6459·9
2000 06 3221.1
2000 05 1416·8
2000 04 816.5
2000 03 737·2
2000 02 247.0
2000 01 7940·0
1999 12 648·1
1999 11 4330·5
1999 10 3125·1
1999 09 9512·5
1999 08 1032·2
1999 07 3325·8
1999 06 632·2
1999 05 7934.2
1999 04 674.0
1999 03 2333·4
1999 02 4051.7
1999 01 7725·8
1998 12 1236.5
1998 11 2024·5
1998 10 7142·5
1998 09 5629·7
1998 08 4539·0
1998 07 5641.7
1998 06 6227·2
1998 05 1218·8
1998 04 9128.7
1998 03 8735.5
1998 02 017.6
1998 01 6432·0
1997 12 143·8
1997 11 9634·3
1997 10 018·4
1997 09 5646.2
1997 08 4948·0
1997 07 8730·5
1997 06 9826·9
1997 05 5610.8
1997 04 3741·3
1997 03 9523.2
1997 02 5721·3
1997 01 5923.3
1996 12 9038.4
1996 11 7425·4
1996 10 6639.2
1996 09 8428.3
1996 08 5860.2
1996 07 638.5
1996 06 3719·6
1996 05 7629.1
1996 04 1733.0
1996 03 9945.0
1996 02 816.9
1996 01 231.1
1995 12 6637·8
1995 11 8353·6
1995 10 4230·5
1995 09 5921·6
1995 08 3240·4
1995 07 1636·1
1995 06 2711.6
1995 05 6429.0
1995 04 6419.0
1995 03 7918·1
1995 02 7620·7
1995 01 6229·9
1994 12 3931·7
1994 11 7935.8
1994 10 2612.8
1994 09 2112.8
1994 08 5622.1
1994 07 4848.4
1994 06 4136·4
1994 05 3710.2
1994 04 4112·8
1994 03 4127.7
1994 02 923·4
1994 01 2824.1
1993 12 4420·5
1993 11 4120.5
1993 10 4230.9
1993 09 3919·1
1993 08 4146·8
1993 07 5445.1
1993 06 7825·1
1993 05 3819·9
1993 04 3333.2
1993 03 1240.9
1993 02 8032·3
1993 01 2026.9
1992 12 4331.0
1992 11 7249.8
1992 10 3726·1
1992 09 329·0
1992 08 2340·3
1992 07 1523.4
1992 06 6027.8
1992 05 3217·9
1992 04 4928.8
1992 03 4828·3
1992 02 8821.3
1992 01 7726·6
1991 12 2026·7
1991 11 323·1
1991 10 8443·2
1991 09 3033·6
1991 08 6336·2
1991 07 3534.2
1991 06 3520·0
1991 05 1228.1
1991 04 2618.0
1991 03 2831.8
1991 02 5533.7
1991 01 6713·8
1990 12 8732.2
1990 11 8646·6
1990 10 8225·7
1990 09 6341.2
1990 08 4541·8
1990 07 4349·1
1990 06 7714.8
1990 05 9525.7
1990 04 2524·1
1990 03 5518·9
1990 02 3052·2
1990 01 8228.2
1989 12 7835·6
1989 11 335.0
1989 10 5322·7
1989 09 6730·2
1989 08 8039·3
1989 07 9428.9
1989 06 8323.4
1989 05 2120.8
1989 04 3014·9
1989 02 5940.3
1989 01 8531·1
1988 12 3837·7
1988 11 5523.4
1988 10 5616.8
1988 09 4527·4
1988 08 3628.0
1988 07 449.2
1988 06 6631.2
1988 05 7734·2
1988 04 5930.4
1988 03 5339·9
1988 02 9634.6
1988 01 1819·2
1987 12 7725·8
1987 10 327.6
1987 09 7629·0
1987 08 3252·2
1987 07 8425.5
1987 06 7822.1
1987 05 6516.2
1987 04 625·7
1987 03 032·3
1987 02 2924.3
1987 01 4220·1
1986 12 5335·5
1986 11 6735.3
1986 10 3234·4
1986 09 1727·5
1986 08 1235·3
1986 07 5630.0
1986 06 8624·4
1986 05 1828·5
1986 04 4417·8
1986 03 6034·1
1986 02 1824.1
1986 01 523·2
1985 12 3824.1
1985 11 9821·7
1985 10 7826·7
1985 09 5725·6
1985 08 746.5
1985 07 1631·0
1985 06 4016.3
1985 05 8225.2
1985 04 8833.7
1985 03 8119.3
1985 02 630·2
1985 01 1114·9
1984 12 4527.8
1984 11 8824·0
1984 10 125·6
1984 09 131·5
1984 08 6641.9
1984 07 5733.5
1984 06 7512·2
1984 05 3428.0
1984 04 6223.6
1984 03 3123·7
1984 02 426.3
1984 01 1613.1
1983 12 7313.8
1983 11 7923·3
1983 10 8823·4
1983 09 7918.9
1983 08 6145.7
1983 07 9640·9
1983 06 5217.6
1983 05 8017.0
1983 04 1410.3
1983 03 110.4
1983 02 4713.6
1983 01 9915.0
1982 12 4521·1
1982 11 3724·4
1982 10 4820.7
1982 09 4528.1
1982 08 9137.1
1982 07 7436·8
1982 06 5632·1
1982 05 4821.0
1982 04 1717.4
1982 03 734.2
1982 02 9536·9
1982 01 6529·6
1981 12 829·9
1981 11 5437.6
1981 10 1731.1
1981 09 7827.2
1981 08 7930·4
1981 07 5931.4
1981 06 9713.6
1981 05 938·4
1981 04 6817.5
1981 03 9224·7
1981 02 3518.0
1981 01 4226·9
1980 11 3730.7
1980 10 4726.4
1980 09 5639.4
1980 08 8244·3
1980 07 7355.1
1980 06 4232·7
1980 05 1222.3
1980 03 9432·2
1979 12 9134.4
1979 08 2342·3
1979 07 7636.7
1979 06 8524.4
1978 08 2827.7
1978 07 5738.8
1978 06 5121·8
1978 05 8719·5
1978 04 4614·1
1978 03 4032.9
1978 01 6017.5
1977 12 5529·0
1977 11 3428·0
1977 10 9023·1
1977 09 5534·9
1977 08 7344.2
1977 07 535·1
1977 06 5217.6
1977 05 1118·2
1977 04 4629·2
1977 03 9642.5
1977 02 9542·1
1977 01 2823.5
1976 12 732·7
1976 11 7029·2
1976 10 1236.6
1976 09 3221.3
1976 06 1117·4
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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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