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2012 04 6728.2
2012 03 2429·9
2012 02 4929.8
2012 01 1327.7
2011 12 1223.5
2011 11 4425.0
2011 10 930.2
2011 09 3631·8
2011 08 3624.1
2011 07 7630.9
2011 06 8448.9
2011 05 7131·2
2011 04 8933.5
2011 03 026.0
2011 02 8433·6
2011 01 6232.7
2010 12 4725.7
2010 11 2426·0
2010 10 4927·2
2010 09 7635·2
2010 08 924·5
2010 07 7826·8
2010 06 4148·1
2010 05 1042·0
2010 04 233·0
2010 03 2025·9
2010 02 4827·4
2010 01 8135·9
2009 12 7628.3
2009 11 3128·0
2009 10 8230.1
2009 09 3331·2
2009 08 631·3
2009 07 1834·3
2009 06 8347.9
2009 05 3743.4
2009 04 9338.0
2009 03 1329·9
2009 02 1231.0
2009 01 8639·3
2008 12 6137·9
2008 11 7136.3
2008 10 5835.5
2008 09 037.4
2008 08 6240.8
2008 07 7544.0
2008 06 3359·3
2008 05 2148.8
2008 04 7140·1
2008 03 3234.9
2008 02 7541.4
2008 01 2144.1
2007 12 8844.1
2007 11 7243·3
2007 10 4840.8
2007 09 9248·0
2007 08 3840.3
2007 07 5446·0
2007 06 3862.1
2007 05 5349·4
2007 04 7243·3
2007 03 5739·3
2007 02 6041.9
2007 01 5048·8
2006 12 6648·2
2006 11 9044.1
2006 10 5047.5
2006 09 5149·2
2006 08 1944.1
2006 07 8343·7
2006 06 7362.4
2006 05 5148.7
2006 04 5750·3
2006 03 9351.1
2006 02 1540·6
2006 01 6741.2
2005 12 3145.2
2005 11 255.2
2005 10 8948.1
2005 09 4552·5
2005 08 1647.9
2005 07 1744·0
2005 06 3460·3
2005 05 5458·1
2005 04 1251.9
2005 03 6848.2
2005 02 1244·2
2005 01 8847.1
2004 12 4538.2
2004 11 1444·2
2004 10 1238·4
2004 09 6649.9
2004 08 6441·7
2004 07 3541.5
2004 06 4661·0
2004 05 3249.3
2004 04 4646·8
2004 03 3836.4
2004 02 5141·9
2004 01 5541·1
2003 12 9139·7
2003 11 5444·3
2003 10 9243·3
2003 09 2936.0
2003 08 2434.9
2003 07 4241·2
2003 06 5561.6
2003 05 7453·5
2003 04 9635.9
2003 03 8142·3
2003 02 5445.1
2003 01 3451.5
2002 12 8238·1
2002 11 7842.2
2002 10 2747·4
2002 09 7849.4
2002 08 8244.8
2002 07 6647·0
2002 06 3662.6
2002 05 9955·8
2002 04 2246.3
2002 03 149·9
2002 02 6941·6
2002 01 1850.5
2001 12 5243·8
2001 11 6445·8
2001 10 4042·9
2001 09 7750.2
2001 08 4750.7
2001 07 6350·0
2001 06 8572·1
2001 05 4858.8
2001 04 952.1
2001 03 2853·4
2001 02 6953·2
2001 01 2256.5
2000 12 6245.4
2000 11 1749.6
2000 10 7954.1
2000 09 2158·9
2000 08 5652.3
2000 07 1153·0
2000 06 2767·7
2000 05 8756.7
2000 04 6849.8
2000 03 1755·0
2000 02 5252·3
2000 01 9059·6
1999 12 9751.6
1999 11 6653·1
1999 10 1748.1
1999 09 2453·4
1999 08 6949·3
1999 07 1558.0
1999 06 969.1
1999 05 959·3
1999 04 3549·7
1999 03 4644.6
1999 02 4246·5
1999 01 8856.2
1998 12 6947.1
1998 11 6544.0
1998 10 5258.7
1998 09 3054.8
1998 08 7249.9
1998 07 451·9
1998 06 461.7
1998 05 3062·4
1998 04 7048·4
1998 03 2045·5
1998 02 8550.5
1998 01 751.0
1997 12 1241.8
1997 11 9446·8
1997 10 842·2
1997 09 550.9
1997 08 7542·3
1997 07 3351.6
1997 06 1163.5
1997 05 9256.3
1997 04 5944·2
1997 03 6836.9
1997 02 5639·0
1997 01 6450·9
1996 12 8840·2
1996 11 5647.6
1996 10 3244·0
1996 09 4049·0
1996 08 1441·0
1996 07 8046.8
1996 06 5265.5
1996 05 6254.0
1996 04 1138·5
1996 03 4438.6
1996 02 5343·4
1996 01 238·6
1995 12 8141·3
1995 11 8247·3
1995 10 9847.7
1995 09 5254.1
1995 08 4935·4
1995 07 5042·1
1995 06 7558·7
1995 05 3250.2
1995 04 6445·9
1995 03 2835·4
1995 02 9843.1
1995 01 8653.2
1994 12 345.2
1994 11 2537·4
1994 10 337·4
1994 09 8454·9
1994 08 6640.8
1994 07 7247·7
1994 06 5462·8
1994 05 1954.1
1994 04 7740.7
1994 03 2447·3
1994 02 3941·5
1994 01 1050.7
1993 12 8852·2
1993 11 6562.3
1993 10 7060.9
1993 09 263.6
1993 08 7551·5
1993 07 056.5
1993 06 8672.2
1993 05 6367·0
1993 04 3655·8
1993 03 6253.0
1993 02 5052·9
1993 01 8959.3
1992 12 9843·4
1992 11 651.6
1992 10 4847·2
1992 09 9756.6
1992 08 1244.6
1992 07 1551.4
1992 06 9571.1
1992 05 3361·1
1992 04 5157.3
1992 03 9551.2
1992 02 2848.3
1992 01 6555.8
1991 12 1843·6
1991 11 7759.0
1991 10 1054.2
1991 09 8760.4
1991 08 3746.7
1991 07 2056.9
1991 06 2974·5
1991 05 1963·3
1991 04 5960·2
1991 03 351.1
1991 02 9757.6
1991 01 561.6
1990 12 5855·4
1990 11 3362.9
1990 10 5358·4
1990 09 1463.6
1990 08 3758.0
1990 07 4465.2
1990 06 6077·3
1990 05 4070.1
1990 04 1960·7
1990 03 9060.3
1990 02 563·1
1990 01 262.4
1989 12 5556·3
1989 11 5364·8
1989 10 159·7
1989 09 4473·1
1989 08 2158.0
1989 07 4166.9
1989 06 8782.2
1989 05 3563·1
1989 04 1760.8
1989 03 8567.4
1989 02 2465.1
1989 01 7158.8
1988 12 6855·5
1988 11 4266.1
1988 10 263.5
1988 09 6867.8
1988 08 2558·7
1988 07 9261·9
1988 06 3275.4
1988 05 7365·5
1988 04 6367.0
1988 03 4361·5
1988 02 5362.9
1988 01 5463·3
1987 12 8356·6
1987 11 2761·1
1987 10 2861.4
1987 09 567·9
1987 08 1058·2
1987 07 060.0
1987 06 4475·0
1987 05 4565.9
1987 04 9459·2
1987 03 4458.2
1987 02 1556.9
1987 01 1962.1
1986 12 1159·8
1986 11 6558.1
1986 10 7853.1
1986 09 9562·2
1986 08 6154.2
1986 07 9562.7
1986 06 9673·4
1986 05 6868·0
1986 04 6954·8
1986 03 9056·0
1986 02 5850.3
1986 01 5755·3
1985 12 8760·4
1985 11 3361.2
1985 10 7557.5
1985 09 663·9
1985 08 8850.5
1985 07 3058.2
1985 06 8673.9
1985 05 8467.2
1985 04 7556·4
1985 03 1351.2
1985 02 5456.9
1985 01 8560.5
1984 12 7154·0
1984 11 3851.8
1984 10 6755.3
1984 09 2961.3
1984 08 2849·0
1984 07 8651·9
1984 06 3771·6
1984 05 5956·7
1984 04 2153·4
1984 03 6549.2
1984 02 350·7
1984 01 4553.1
1983 12 5048.0
1983 11 648.5
1983 10 2749.8
1983 09 8056.3
1983 08 4141.2
1983 07 6646·0
1983 06 9769·0
1983 05 8551.2
1983 04 4449·6
1983 03 2741·3
1983 02 2642·5
1983 01 347·9
1982 12 3441·9
1982 11 9444·9
1982 10 5346·2
1982 09 352·0
1982 08 1243.4
1982 07 049.3
1982 06 3968·0
1982 05 7955·7
1982 04 450.1
1982 03 250.2
1982 02 7346.4
1982 01 5154.6
1981 12 5948·9
1981 11 8050·6
1981 10 6852.5
1981 09 6359·3
1981 08 5348.2
1981 07 4355.5
1981 06 6172.0
1981 05 8359.1
1981 04 8656·2
1981 03 2052·6
1981 02 1651·4
1981 01 761.0
1980 12 8453.3
1980 11 6951.8
1980 10 2046.4
1980 09 5258·1
1980 08 9751·1
1980 07 7254·9
1980 06 8673·3
1980 05 6466·4
1980 04 156·0
1980 03 3548.6
1980 02 5251.2
1980 01 1159.5
1979 12 9657·3
1979 11 9057·7
1979 10 8256.0
1979 09 8865·1
1979 08 758·0
1979 07 9356.2
1979 06 6272.4
1979 05 1361.0
1979 04 8561.9
1979 03 2757.1
1979 02 652·2
1979 01 3260.3
1978 12 554·1
1978 11 9754.5
1978 10 5254.1
1978 09 1263·8
1978 08 6747·1
1978 07 3553.8
1978 06 6368·3
1978 05 4859·7
1978 04 9756·4
1978 03 9955.6
1978 02 2549·1
1978 01 5959·3
1977 12 4653.3
1977 11 6959·5
1977 10 5455.7
1977 09 9063.4
1977 08 8847·7
1977 07 5350.1
1977 06 8571·8
1977 05 955·4
1977 04 2550·8
1977 03 8148.3
1977 02 8349·1
1977 01 1149·3
1976 12 8142.5
1976 11 1246·4
1976 10 3452·9
1976 09 1556.4
1976 08 645.3
1976 07 2551.2
1976 06 5366.7
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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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