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2012 04 3617·0
2012 03 5517·7
2012 02 7415.2
2012 01 6323.2
2011 12 2020.8
2011 11 4017.1
2011 10 2417·4
2011 09 118·8
2011 08 8216.7
2011 07 3521·3
2011 06 8727.0
2011 05 5018·5
2011 04 7516·6
2011 03 2413·1
2011 02 7714.3
2011 01 5519.9
2010 12 7117·2
2010 11 1119.8
2010 10 3115·4
2010 09 8316·7
2010 08 7316·9
2010 07 3020.1
2010 06 1219·0
2010 05 3118.1
2010 04 516·9
2010 03 3615·8
2010 02 717.1
2010 01 1620.0
2009 12 1819.9
2009 11 1116.4
2009 10 3117·9
2009 09 8316.4
2009 08 8716.9
2009 07 6223·0
2009 06 2124.4
2009 05 021·7
2009 04 1321·6
2009 03 2022.1
2009 02 3924·2
2009 01 6433.9
2008 12 2026.9
2008 11 4333.3
2008 10 7431·0
2008 09 9129·4
2008 08 6031.9
2008 07 1133·9
2008 06 3838·8
2008 05 2734·8
2008 04 829.6
2008 03 3233·5
2008 02 6936·8
2008 01 4036·5
2007 12 6435·8
2007 11 3639·1
2007 10 3135·0
2007 09 2534·1
2007 08 5332.1
2007 07 8234·7
2007 06 1046.1
2007 05 137·7
2007 04 2736·6
2007 03 4935·8
2007 02 2134.8
2007 01 1237·4
2006 12 5938.2
2006 11 4633·8
2006 10 135·3
2006 09 2736·8
2006 08 5133·1
2006 07 342·0
2006 06 1249·0
2006 05 4035.5
2006 04 2934.7
2006 03 7736.6
2006 02 4334·0
2006 01 7136.2
2005 12 4234·8
2005 11 5029·7
2005 10 733.9
2005 09 6332·3
2005 08 6628.2
2005 07 2939·5
2005 06 4143.5
2005 05 8632·4
2005 04 132.0
2005 03 4526.2
2005 02 829·3
2005 01 3434·9
2004 12 7230·4
2004 11 5428.9
2004 10 9734.0
2004 09 2631.8
2004 08 3128.2
2004 07 3936·6
2004 06 1933.5
2004 05 633.8
2004 04 5230.4
2004 03 627.7
2004 02 1427.8
2004 01 4329·5
2003 12 3629·2
2003 11 8729.0
2003 10 4425·6
2003 09 3228·3
2003 08 828·9
2003 07 3831·3
2003 06 9636·5
2003 05 9134.2
2003 04 1931·0
2003 03 4126.4
2003 02 8428.7
2003 01 6433·3
2002 12 4429·8
2002 11 328.8
2002 10 4631·1
2002 09 2232·9
2002 08 8329.0
2002 07 5532.2
2002 06 4433·3
2002 05 5828.0
2002 04 6230·1
2002 03 5428·6
2002 02 6632·8
2002 01 9038·8
2001 12 3133.9
2001 11 8239.3
2001 10 2640·3
2001 09 6438.7
2001 08 6637·4
2001 07 4445.0
2001 06 6154.9
2001 05 4843.9
2001 04 6644·7
2001 03 7435.2
2001 02 3342.7
2001 01 3745·4
2000 12 5842·3
2000 11 2743·6
2000 10 3243·6
2000 09 5040.6
2000 08 9236.5
2000 07 8547·5
2000 06 7057·0
2000 05 3043·8
2000 04 4340·9
2000 03 5441.8
2000 02 8440.2
2000 01 4749·0
1999 12 1144·6
1999 11 6848·1
1999 10 3847·8
1999 09 9545·3
1999 08 2238·8
1999 07 8142·1
1999 06 1950.5
1999 05 9442·9
1999 04 2743.0
1999 03 7637.1
1999 02 4035.9
1999 01 8747.1
1998 12 038.3
1998 11 5942·4
1998 10 4044·2
1998 09 4339.4
1998 08 4235.0
1998 07 6244·4
1998 06 8146·0
1998 05 5742.5
1998 04 7943.8
1998 03 4237·5
1998 02 5143.4
1998 01 4851.8
1997 12 6041·2
1997 11 8041.1
1997 10 6345.2
1997 09 6037.3
1997 08 6231.5
1997 07 8338·9
1997 06 5541.4
1997 05 6236.4
1997 04 8533·2
1997 03 8238·0
1997 02 8938·2
1997 01 4845·1
1996 12 5336.4
1996 11 3440.1
1996 10 5534.2
1996 09 3734·2
1996 08 1831·8
1996 07 2242·4
1996 06 6347·0
1996 05 7442.4
1996 04 5533.2
1996 03 5025·8
1996 02 5328·4
1996 01 2845.3
1995 12 6429·8
1995 11 5234.9
1995 10 8739.7
1995 09 9238·0
1995 08 7036·6
1995 07 8439·2
1995 06 5450.0
1995 05 8632.3
1995 04 2530·3
1995 03 2733.8
1995 02 6530·9
1995 01 5444·5
1994 12 333·9
1994 11 8834.8
1994 10 5931.4
1994 09 6634.0
1994 08 432.3
1994 07 9838·1
1994 06 042.1
1994 05 1532·9
1994 04 5529·4
1994 03 1526.1
1994 02 7425.5
1994 01 2040·4
1993 12 528·9
1993 11 2029.8
1993 10 9428.0
1993 09 2626·4
1993 08 3027.5
1993 07 1928·8
1993 06 9927·8
1993 05 128.3
1993 04 3128.6
1993 03 4526.4
1993 02 5224.9
1993 01 4133.1
1992 12 3228.1
1992 11 5329·1
1992 10 3927.7
1992 09 6329.2
1992 08 8528.8
1992 07 2630.2
1992 06 7529·9
1992 05 1326·0
1992 04 6423.5
1992 03 7024·8
1992 02 9726·0
1992 01 5929.4
1991 12 6930.8
1991 11 1631.9
1991 10 6831.8
1991 09 9632.8
1991 08 2733·9
1991 07 2334.1
1991 06 7636·7
1991 05 4231·4
1991 04 8831.2
1991 03 7033.0
1991 02 3335·2
1991 01 4239.9
1990 12 2733·5
1990 11 6543.0
1990 10 7841·3
1990 09 6533.7
1990 08 4442.8
1990 07 3940·8
1990 06 7438·2
1990 05 437.4
1990 04 6538·5
1990 03 4935·5
1990 02 839·7
1990 01 8046.1
1989 12 4039·0
1989 11 7747.9
1989 10 9443.1
1989 09 3740·7
1989 08 4539·1
1989 07 2941.1
1989 06 6845.2
1989 05 4240·9
1989 04 8038·9
1989 03 3738·2
1989 02 9541.6
1989 01 9239.2
1988 12 7036·3
1988 11 5743.5
1988 10 6141·2
1988 09 444·3
1988 08 6739·5
1988 07 7241.1
1988 06 8141.0
1988 05 2236.8
1988 04 4441·2
1988 03 8728.3
1988 02 9134.0
1988 01 1742.9
1987 12 339.9
1987 11 3540.1
1987 10 5540.0
1987 09 8237.4
1987 08 6935·6
1987 07 7240.0
1987 06 6036·9
1987 05 3736.2
1987 04 9236.6
1987 03 8032.0
1987 02 2035.2
1987 01 2442.0
1986 12 4835·2
1986 11 6536.7
1986 10 7238.2
1986 09 1537·4
1986 08 3733·0
1986 07 5937.6
1986 06 8038.0
1986 05 233.4
1986 04 8435·5
1986 03 1931.4
1986 02 3033·8
1986 01 538·4
1985 12 4134·8
1985 11 2637.4
1985 10 3640·0
1985 09 6736·6
1985 08 8238.1
1985 07 8738·7
1985 06 3738.6
1985 05 5933.1
1985 04 734.2
1985 03 3333.6
1985 02 9432·5
1985 01 7539·8
1984 12 4331.0
1984 11 2233·8
1984 10 9538.4
1984 09 3237.1
1984 08 3935.9
1984 07 3536·4
1984 06 5534·6
1984 05 7731·7
1984 04 7128·6
1984 03 7829·3
1984 02 928.2
1984 01 7731.7
1983 12 3932.6
1983 11 8332.1
1983 10 2330·5
1983 09 2631.4
1983 08 6927·8
1983 07 729.2
1983 06 8230.0
1983 05 4525.1
1983 04 1121.9
1983 03 3124·3
1983 02 026.2
1983 01 7730·3
1982 12 4027.4
1982 11 6330·4
1982 10 1633·3
1982 09 9134.2
1982 08 5728·8
1982 07 3331·6
1982 06 9130·8
1982 05 8229.7
1982 04 8830.7
1982 03 9931.5
1982 02 1432·6
1982 01 6841·9
1981 12 8237.7
1981 11 4139·4
1981 10 9838·0
1981 09 9338.4
1981 08 1533·7
1981 07 6836.5
1981 06 8036.2
1981 05 2832·3
1981 04 8731·3
1981 03 932.2
1981 02 2429·1
1981 01 6537·6
1980 12 2432.6
1980 11 2232·9
1980 10 1737·2
1980 09 2534.6
1980 08 7634·4
1980 07 8938·3
1980 06 7239·3
1980 05 5139.6
1980 04 1937.0
1980 03 1635.3
1980 02 2837.8
1980 01 1243.0
1979 12 5337·9
1979 11 3544·8
1979 10 4643.6
1979 09 336.5
1979 08 343.2
1979 07 341·5
1979 06 1648.7
1979 05 4239·0
1979 04 2039.7
1979 03 035.8
1979 02 4938·0
1979 01 7542.3
1978 12 7942·3
1978 11 3444·7
1978 10 8443·1
1978 09 6938.7
1978 08 8134·4
1978 07 3745.0
1978 06 8341.5
1978 05 1940·0
1978 04 5036.4
1978 03 6530·5
1978 02 3535·1
1978 01 4436·2
1977 12 3833·9
1977 11 9933·7
1977 10 5232.3
1977 09 8931.1
1977 08 1930·3
1977 07 4735·0
1977 06 7337.2
1977 05 2330·4
1977 04 9529·9
1977 03 3927·8
1977 02 6031·8
1977 01 3933.4
1976 12 8929.9
1976 11 3327.8
1976 10 033.6
1976 09 5635.2
1976 08 5425·8
1976 07 1131.4
1976 06 829·1
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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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