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2012 04 1812.9
2012 03 4513·6
2012 02 7113.3
2012 01 3619·6
2011 12 517·5
2011 11 4315.5
2011 10 2016·0
2011 09 3416·6
2011 08 6411.6
2011 07 4617·3
2011 06 7722.0
2011 05 3713·2
2011 04 4614.5
2011 03 369.4
2011 02 5411.9
2011 01 9019·1
2010 12 2714.5
2010 11 1815.4
2010 10 8812.2
2010 09 6014·6
2010 08 615·4
2010 07 2518.3
2010 06 4415.9
2010 05 4315.4
2010 04 912.7
2010 03 1311·1
2010 02 811·2
2010 01 5717·1
2009 12 8815·2
2009 11 6514.2
2009 10 9314.1
2009 09 4714·4
2009 08 1515·9
2009 07 8521·3
2009 06 3921·4
2009 05 8118·0
2009 04 9417·1
2009 03 717.5
2009 02 622.3
2009 01 5527·8
2008 12 4823.4
2008 11 8728·9
2008 10 8423·8
2008 09 8720.4
2008 08 2825.0
2008 07 626.2
2008 06 8628.8
2008 05 2029.9
2008 04 1022·3
2008 03 7228.5
2008 02 4827.8
2008 01 2528·0
2007 12 9327.8
2007 11 1528.0
2007 10 3426·5
2007 09 9632·2
2007 08 429·4
2007 07 9334·0
2007 06 3240·9
2007 05 5125·5
2007 04 9230·8
2007 03 8627.7
2007 02 5529·1
2007 01 3525.1
2006 12 3427·6
2006 11 325·5
2006 10 4034·9
2006 09 1728·9
2006 08 2922.4
2006 07 7337.3
2006 06 5136·1
2006 05 9027.7
2006 04 233·2
2006 03 5524·5
2006 02 7527.5
2006 01 7531.9
2005 12 532.7
2005 11 2929·6
2005 10 2633·0
2005 09 1627.2
2005 08 1320·1
2005 07 338·0
2005 06 4031.9
2005 05 8026.4
2005 04 2626·9
2005 03 720.8
2005 02 8223.1
2005 01 6326.0
2004 12 6928.4
2004 11 9924·3
2004 10 3933.6
2004 09 8428.1
2004 08 9326.1
2004 07 6030.8
2004 06 2431·8
2004 05 8726·9
2004 04 7322.2
2004 03 9723·3
2004 02 7421·5
2004 01 4125·9
2003 12 927·4
2003 11 4125.9
2003 10 5319.8
2003 09 4025·7
2003 08 2826·4
2003 07 5031.8
2003 06 4926.3
2003 05 322·0
2003 04 7920.4
2003 03 425.5
2003 02 7424·4
2003 01 7536·3
2002 12 3725.1
2002 11 1125.1
2002 10 6623·6
2002 09 2422·2
2002 08 425.1
2002 07 129.0
2002 06 8932·2
2002 05 4524·3
2002 04 528·3
2002 03 3226·9
2002 02 3030·9
2002 01 5730·8
2001 12 8932·2
2001 11 8633.5
2001 10 134·7
2001 09 441·3
2001 08 3234.9
2001 07 6843.5
2001 06 4244.3
2001 05 5535·6
2001 04 3634.8
2001 03 1126.9
2001 02 1434.4
2001 01 434.8
2000 12 2432.3
2000 11 7243.7
2000 10 634·4
2000 09 7134·6
2000 08 4836.3
2000 07 3142·2
2000 06 3144·9
2000 05 9946·2
2000 04 8240·8
2000 03 9536·0
2000 02 2637.1
2000 01 5839·9
1999 12 2828.0
1999 11 9740·6
1999 10 5446·4
1999 09 4237·3
1999 08 1139·0
1999 07 9339·4
1999 06 342.9
1999 05 7034.2
1999 04 8130·7
1999 03 6433·9
1999 02 8733·7
1999 01 8639.5
1998 12 1333.2
1998 11 1739.4
1998 10 4342·1
1998 09 5938.4
1998 08 836·1
1998 07 8339.8
1998 06 3342.5
1998 05 8334·9
1998 04 9144·3
1998 03 2033·1
1998 02 4638.2
1998 01 7841.8
1997 12 1234.6
1997 11 1037.5
1997 10 9531.4
1997 09 8835·8
1997 08 4826.8
1997 07 5731.7
1997 06 1835.2
1997 05 8128.7
1997 04 9821.9
1997 03 9533.9
1997 02 7732.0
1997 01 5345·9
1996 12 8836.2
1996 11 8041·5
1996 10 6035.7
1996 09 2232.0
1996 08 6830·6
1996 07 9340.3
1996 06 8134·1
1996 05 3130·1
1996 04 1427·1
1996 03 4223·6
1996 02 7727.3
1996 01 5234.0
1995 12 2531·8
1995 11 5739·4
1995 10 1035.3
1995 09 7635·4
1995 08 2831·6
1995 07 9637.2
1995 06 7040.0
1995 05 2528.4
1995 04 7331.7
1995 03 4021.3
1995 02 6822.8
1995 01 4134.5
1994 12 3424·4
1994 11 9628·9
1994 10 4426.2
1994 09 9436·8
1994 08 1428.7
1994 07 9533.3
1994 06 5838.9
1994 05 7833.9
1994 04 3627.4
1994 03 9427.8
1994 02 028·0
1994 01 1334.7
1993 12 5127·0
1993 11 7531·0
1993 10 8329·3
1993 09 4226.7
1993 08 3529·6
1993 07 4431.3
1993 06 4429.1
1993 05 3426·1
1993 04 8931·1
1993 03 3330·8
1993 02 4631·4
1993 01 8428.9
1992 12 3625.6
1992 11 9931·2
1992 10 7732·0
1992 09 1130·4
1992 08 2927.8
1992 07 2335.0
1992 06 5028·1
1992 05 5832.2
1992 04 4228·2
1992 03 1226·1
1992 02 229·7
1992 01 9631.0
1991 12 7526·9
1991 11 9737·6
1991 10 9837·3
1991 09 1837·9
1991 08 5434.5
1991 07 3535.4
1991 06 2441.8
1991 05 4429.3
1991 04 3024.7
1991 03 935·0
1991 02 9337·7
1991 01 1637.6
1990 12 7838.5
1990 11 2344·1
1990 10 4445.3
1990 09 642·3
1990 08 9845·5
1990 07 1134.6
1990 06 3949·0
1990 05 637·1
1990 04 1541.7
1990 03 2846.9
1990 02 6740.8
1990 01 3642·0
1989 12 8135·5
1989 11 5748.1
1989 10 3947·6
1989 09 4046·9
1989 08 6947·3
1989 07 449·5
1989 06 9448.3
1989 05 8839.3
1989 04 8235.9
1989 03 145.4
1989 02 9543·9
1989 01 7249.4
1988 12 4433.7
1988 11 352·5
1988 10 3045.5
1988 09 1445·1
1988 08 537·2
1988 07 9446·7
1988 06 1243·2
1988 05 5645.2
1988 04 4142.7
1988 03 7936.7
1988 02 7837·6
1988 01 6742.6
1987 12 5336·9
1987 11 9147·0
1987 10 9142.2
1987 09 4344·7
1987 08 6541·7
1987 07 8545.4
1987 06 4039·5
1987 05 145.1
1987 04 2841.0
1987 03 4438·1
1987 02 3732.6
1987 01 8749.7
1986 12 1839·2
1986 11 7445.1
1986 10 2048·0
1986 09 6944·4
1986 08 3532·3
1986 07 635.3
1986 06 5145.3
1986 05 4128.3
1986 04 433·6
1986 03 9837.7
1986 02 2035.1
1986 01 2344·4
1985 12 7539.9
1985 11 3239·7
1985 10 3942·4
1985 09 5943·1
1985 08 2533.9
1985 07 1243.4
1985 06 4540.3
1985 05 1839·7
1985 04 5334.5
1985 03 7237·8
1985 02 128.1
1985 01 9436.6
1984 12 8534·0
1984 11 6940.0
1984 10 9636·0
1984 09 535·7
1984 08 7141.2
1984 07 8245.2
1984 06 4242·0
1984 05 9846·0
1984 04 8739·0
1984 03 2034.9
1984 02 7826·8
1984 01 3939.2
1983 12 3334.3
1983 11 1436·0
1983 10 6536.0
1983 09 2439.2
1983 08 3432.0
1983 07 2027·7
1983 06 9332·4
1983 05 7226·9
1983 04 4134·1
1983 03 2131.0
1983 02 7327.0
1983 01 2734.1
1982 12 2930·4
1982 11 2227·7
1982 10 4535.1
1982 09 5837·2
1982 08 9934·7
1982 07 5634.2
1982 06 6934·5
1982 05 5933·2
1982 04 7631.5
1982 03 7931·5
1982 02 3632.0
1982 01 4944.1
1981 12 1033·9
1981 11 7338·2
1981 10 5640.2
1981 09 7338·2
1981 08 7733.2
1981 07 4445·0
1981 06 7045.8
1981 05 9937·6
1981 04 7740.8
1981 03 2439·1
1981 02 3843·6
1981 01 2238·6
1980 12 3628.5
1980 11 6933·3
1980 10 4943.6
1980 09 6144·9
1980 08 343·0
1980 07 6236·9
1980 06 1745.9
1980 05 6037·7
1980 04 5546·3
1980 03 942.8
1980 02 7842.0
1980 01 8848.7
1979 12 9136·4
1979 11 4250·8
1979 10 9646.4
1979 09 3950.4
1979 08 3848.5
1979 07 1649·7
1979 06 5852·0
1979 05 3245·2
1979 04 4546·6
1979 03 1539·0
1979 02 7942.8
1979 01 1334·3
1978 12 8842.7
1978 11 4444.3
1978 10 9443·3
1978 09 4946·6
1978 08 6738.6
1978 07 3539·7
1978 06 6848·1
1978 05 3446.6
1978 04 839·6
1978 03 4537·6
1978 02 8939.8
1978 01 8938·9
1977 12 6029·1
1977 11 5638.2
1977 10 6829.9
1977 09 5739·5
1977 08 132.5
1977 07 7341·9
1977 06 4446.0
1977 05 737·3
1977 04 2934·4
1977 03 2936·0
1977 02 8035·1
1977 01 3342.9
1976 12 7034·4
1976 11 8131.2
1976 10 6432·7
1976 09 5544.8
1976 08 7536·7
1976 07 940·9
1976 06 936·7
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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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