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2012 04 360.0
2012 03 810.0
2012 02 480.0
2012 01 850·0
2011 12 620.0
2011 09 5136·3
2011 06 2840.7
2011 05 9646.7
2011 04 4254·3
2011 03 725·3
2011 02 9543·0
2011 01 9326.2
2010 12 260.0
2010 11 3140·7
2010 10 6429·6
2010 09 2026.7
2010 08 8925·7
2010 07 2942.8
2010 06 7249·0
2010 05 4716.7
2010 04 3346.9
2010 03 333.1
2010 02 8333·7
2010 01 6832·6
2009 12 8129·2
2009 11 039.7
2009 10 8329·5
2009 09 151·2
2009 08 8622.0
2009 07 1116·3
2009 06 8643·9
2009 05 9126.0
2009 04 2234·2
2009 03 7229·9
2009 02 3035.7
2009 01 748.7
2008 12 9023·4
2008 11 1645.4
2008 10 7739·9
2008 09 4339·6
2008 08 1420·8
2008 07 9922·5
2008 06 1621.8
2008 05 1827·1
2008 04 4628·0
2008 03 351·1
2008 02 6043·6
2008 01 7733.7
2007 12 6027.3
2007 11 3455.7
2007 10 4544.2
2007 09 8845·3
2007 08 5841.9
2007 07 2428.8
2007 06 3637.0
2007 05 4722.2
2007 04 6430.8
2007 03 3030.1
2007 02 2041.4
2007 01 7136.0
2006 12 2938·8
2006 11 3347.4
2006 10 1026.4
2006 09 439·0
2006 08 2918·3
2006 07 4027·9
2006 06 4433.4
2006 05 1820·6
2006 04 6328.3
2006 03 8331·4
2006 02 8532·8
2006 01 435·9
2005 12 5727.9
2005 11 1828·9
2005 10 2022·4
2005 09 8322.2
2005 08 6226·7
2005 07 2715.5
2005 06 6319.2
2005 05 9825.4
2005 04 5244·3
2005 03 1619.4
2005 02 5131·3
2005 01 1938·9
2004 12 2936.1
2004 11 1730.8
2004 10 4833·0
2004 09 4022.6
2004 08 1714·4
2004 07 8728·6
2004 06 4143.0
2004 05 8034·4
2004 04 687.3
2004 03 838·3
2004 02 4328.5
2004 01 8321·4
2003 12 5650·8
2003 11 8540.5
2003 10 9251.8
2003 09 1820.4
2003 08 8229.6
2003 07 5222·0
2003 06 5128.0
2003 05 8048·8
2003 04 7130.7
2003 03 6332·7
2003 02 719·0
2003 01 8729.8
2002 12 7328·1
2002 11 238.7
2002 10 7532·7
2002 09 8336.1
2002 08 6532.3
2002 07 7432·3
2002 06 9125.3
2002 05 3952.3
2002 04 4635.2
2002 03 1217.6
2002 02 1828.0
2002 01 4838.6
2001 12 4126.9
2001 11 7130·0
2001 10 4547.5
2001 09 2837.7
2001 08 210·9
2001 07 3427·9
2001 06 8426.0
2001 05 2511·3
2001 04 416·9
2001 03 828·3
2001 02 7337.8
2001 01 829·5
2000 12 4616.2
2000 11 2337.0
2000 10 7535.9
2000 09 7038.1
2000 08 5528·6
2000 07 3623·8
2000 06 7820·6
2000 05 3029·1
2000 04 8025.5
2000 03 3040·6
2000 02 9545·1
2000 01 3330·7
1999 12 9832·5
1999 11 1040.0
1999 10 6321.9
1999 09 4926.6
1999 08 823·5
1999 07 914.7
1999 06 4625.1
1999 05 7024.5
1999 04 3626.1
1999 03 8241·9
1999 02 3227·7
1999 01 1729.1
1998 12 3224.6
1998 11 1338·0
1998 10 3335.9
1998 09 3325.2
1998 08 7225·6
1998 07 735·8
1998 06 8732·1
1998 05 8720·9
1998 04 5618.5
1998 03 9533·2
1998 02 5734.9
1998 01 7422·7
1997 12 1026.8
1997 11 3623.9
1997 10 3142·6
1997 09 1329.7
1997 08 8329.4
1997 07 919·8
1997 06 2318.6
1997 05 4828·1
1997 04 5231.2
1997 03 2345.7
1997 02 6962.6
1997 01 4826.6
1996 12 1653.7
1996 11 741.6
1996 10 3337·6
1996 09 717·0
1996 08 127.4
1996 07 2129·7
1996 06 228·0
1996 05 4438·3
1996 04 5848·6
1996 03 4346·2
1996 02 9038·2
1996 01 432·7
1995 12 6236.3
1995 11 8329·9
1995 10 3446·6
1995 09 5619.0
1995 08 1223·0
1995 07 7025·9
1995 06 9830.1
1995 05 9329·3
1995 04 3635.5
1995 03 6221.5
1995 02 6832·2
1995 01 3516·1
1994 12 8235.6
1994 11 4124.6
1994 10 5953·6
1994 09 2718.6
1994 08 2737·7
1994 07 1220·9
1994 06 814·8
1994 05 3648.1
1994 04 7036·6
1994 03 822·4
1994 02 7751·6
1994 01 589·0
1993 12 3834·9
1993 11 8534·0
1993 10 5536·4
1993 09 1111·7
1993 08 8031.5
1993 07 2622.4
1993 06 5515·7
1993 05 4021.1
1993 04 7234.9
1993 03 3634.3
1993 02 1426.3
1993 01 1431·1
1992 12 1435·6
1992 11 4734·3
1992 10 9636·4
1992 09 2615.0
1992 08 3223·8
1992 07 1621·8
1992 06 8815·7
1992 05 9728·7
1992 04 7623.1
1992 03 2421.3
1992 02 330.2
1992 01 7027·1
1991 12 2242·8
1991 11 7836·6
1991 10 8047.5
1991 09 1427·9
1991 08 7025.0
1991 07 1123.1
1991 06 8023·0
1991 05 2425·4
1991 04 4420.9
1991 03 7732·5
1991 02 9235·7
1991 01 1831.7
1990 12 9726·2
1990 11 6024·2
1990 10 2931.4
1990 09 4122.3
1990 08 216·5
1990 07 6619·4
1990 06 2829·9
1990 05 6127·4
1990 04 6131·3
1990 03 2529·8
1990 02 5334.2
1990 01 7428·1
1989 12 9925·9
1989 11 9618.7
1989 10 9123·2
1989 09 9819.9
1989 08 6631·0
1989 07 5929·7
1989 06 5625·7
1989 05 7826·3
1989 04 3820·0
1989 03 2222.9
1989 02 8527.3
1989 01 8125·0
1988 12 1529.1
1988 11 1526.5
1988 10 4131·2
1988 09 422.8
1988 08 2222.6
1988 07 9625.9
1988 06 1232·0
1988 05 6435.8
1988 04 1030.4
1988 03 4628.4
1988 02 1029.7
1988 01 629·2
1987 12 5437·0
1987 11 7231·2
1987 10 7530.3
1987 09 9919.4
1987 08 5533.1
1987 07 626·2
1987 06 6824·9
1987 05 3721.7
1987 04 3731·6
1987 03 339·0
1987 02 7828.5
1987 01 3926·2
1986 12 5243.8
1986 11 4734·2
1986 10 1723.1
1986 09 5021.9
1986 08 7516·9
1986 07 4223·6
1986 06 2329.7
1986 05 3816·4
1986 04 611.6
1986 03 2230·3
1986 02 6029·6
1986 01 9828.3
1985 12 7026.3
1985 11 4226.5
1985 10 1529.1
1985 09 4920·2
1985 08 1826·8
1985 07 8528.4
1985 06 023·6
1985 05 3524·3
1985 04 2623·5
1985 03 5637·1
1985 02 5526.9
1985 01 2528.2
1984 12 9328.8
1984 11 8834·6
1984 10 4118.7
1984 09 1313·6
1984 08 4624·5
1984 07 3834·5
1984 06 4724·5
1984 05 1940.5
1984 04 3427·4
1984 03 8631.5
1984 02 8629.4
1984 01 8623.4
1983 12 3238·9
1983 11 3936·8
1983 10 9533.7
1983 09 8434·3
1983 08 4239·7
1983 07 3030·8
1983 06 3720·4
1983 05 736.9
1983 04 8934·7
1983 03 1527·6
1983 02 137·0
1983 01 7434·3
1982 12 2340.1
1982 11 7547.1
1982 10 9943.9
1982 09 2932·0
1982 08 1928.8
1982 07 1734.8
1982 06 6817.7
1982 05 4116·8
1982 04 7837.0
1982 03 7334·9
1982 02 7324·6
1982 01 529·9
1981 12 2534·6
1981 11 9932.4
1981 10 031·5
1981 09 3926.6
1981 08 1133·2
1981 07 7723.9
1981 06 6322·2
1981 05 8731.1
1981 04 1133.4
1981 03 1430.2
1981 02 025·8
1981 01 2033.6
1980 12 2529·6
1980 11 4131·9
1980 10 7334·6
1980 09 3127.8
1980 08 7941.7
1980 07 1537.7
1980 06 7028·5
1980 05 3825·0
1980 04 2323.5
1980 03 1731.4
1980 02 528.0
1980 01 8722.8
1979 12 3239.8
1979 11 5528.2
1979 10 1535·0
1979 09 4628·0
1979 08 828.3
1979 07 5935·1
1979 06 6320.2
1979 05 1025·2
1979 04 7531.3
1979 03 8725.2
1979 02 3640.7
1979 01 9837·7
1978 12 8440.3
1978 11 2028·2
1978 10 4928.8
1978 09 5318.5
1978 08 931.2
1978 07 6525.9
1978 06 3815·4
1978 05 4520.8
1978 04 5332.5
1978 03 5327.3
1978 02 6722.2
1978 01 6825·9
1977 12 3929·5
1977 11 4121.3
1977 10 2334·5
1977 09 4219·7
1977 08 1824.7
1977 07 1124·5
1977 06 2020·6
1977 05 1023.0
1977 04 6729·1
1977 03 6928·4
1977 02 9535.8
1977 01 4132·5
1976 12 8426·1
1976 11 4832·6
1976 10 1126·1
1976 09 3023·0
1976 08 9628.1
1976 07 221.1
1976 06 5631·0
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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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