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2012 04 5236.3
2012 03 4536·0
2012 02 9035.9
2012 01 4135·1
2011 12 7535.8
2011 11 7036·1
2011 10 735·4
2011 09 9835·8
2011 08 3335.6
2011 07 6236.3
2011 06 9436.2
2011 05 2135·9
2011 04 7635.8
2011 03 335·5
2011 02 6334·7
2011 01 5734·1
2010 12 8135·2
2010 11 035·8
2010 10 5236.0
2010 09 7336·0
2010 08 4635.8
2010 07 8436.0
2010 06 2535.8
2010 05 6335·5
2010 04 9836·0
2010 03 1134.8
2010 02 6934.3
2010 01 4835·5
2009 12 8735.1
2009 11 6435·6
2009 10 9735.7
2009 09 7134.9
2009 08 8936·3
2009 07 4935.7
2009 06 4736·5
2009 05 136·3
2009 04 335.3
2009 03 9835.6
2009 02 8335·0
2009 01 3334.8
2008 12 5635.7
2008 11 6736·2
2008 10 9036.6
2008 09 8537.1
2008 08 9737·1
2008 07 3837.6
2008 06 8437.5
2008 05 237·2
2008 04 337·2
2008 03 1837·4
2008 02 136·8
2008 01 5236·7
2007 12 7237.0
2007 11 3837.7
2007 10 438·1
2007 09 3138·1
2007 08 3237.8
2007 07 5538·3
2007 06 8238·4
2007 05 5638.7
2007 04 3138.5
2007 03 5038.4
2007 02 4737.9
2007 01 7337·7
2006 12 4638.5
2006 11 3137·7
2006 10 3838.7
2006 09 5039·1
2006 08 7738.8
2006 07 2839.1
2006 06 1638·7
2006 05 8238.7
2006 04 5038·3
2006 03 9938.5
2006 02 7037.7
2006 01 8837·7
2005 12 1438.2
2005 11 2538·4
2005 10 1338.3
2005 09 1138·8
2005 08 4538·5
2005 07 1339·1
2005 06 8338·7
2005 05 2138.7
2005 04 4438·9
2005 03 9438·2
2005 02 4238·1
2005 01 1237·3
2004 12 3638.5
2004 11 2538.0
2004 10 7938.2
2004 09 438·7
2004 08 7138·3
2004 07 8838·5
2004 06 638.5
2004 05 4038·7
2004 04 2438.5
2004 03 8938.0
2004 02 6138·3
2004 01 8937·7
2003 12 9738·4
2003 11 6038.3
2003 10 838.6
2003 09 4638.6
2003 08 1438.8
2003 07 5838·7
2003 06 3338·1
2003 05 3038.8
2003 04 2638·7
2003 03 6438·6
2003 02 5138·0
2003 01 8537·7
2002 12 937·8
2002 11 8538.4
2002 10 9838·6
2002 09 7939·0
2002 08 6138.4
2002 07 5238.8
2002 06 3839·2
2002 05 838·9
2002 04 1039·0
2002 03 2338·8
2002 02 5838·5
2002 01 9138·6
2001 12 639·0
2001 11 7838.8
2001 10 7238·8
2001 09 7138·5
2001 08 2339.2
2001 07 2539.3
2001 06 1839·5
2001 05 1739·8
2001 04 6239·0
2001 03 9539·0
2001 02 5739·1
2001 01 2438·6
2000 12 4939·2
2000 11 4439·4
2000 10 7939.6
2000 09 1239.5
2000 08 3439.7
2000 07 5539·8
2000 06 9640.3
2000 05 2340.0
2000 04 9340.5
2000 03 3439.8
2000 02 4639.3
2000 01 2738·9
1999 12 2540·4
1999 11 1240.1
1999 10 9239·8
1999 09 1939.8
1999 08 5640·1
1999 07 4740.3
1999 06 2140·7
1999 05 1740.8
1999 04 3740·5
1999 03 2040.0
1999 02 4739·4
1999 01 6639·0
1998 12 4240.7
1998 11 3739·9
1998 10 840·6
1998 09 3538.1
1998 08 7339.9
1998 07 3140·0
1998 06 6640.2
1998 05 1740·3
1998 04 5539·3
1998 03 5738·8
1998 02 939.3
1998 01 3338·7
1997 12 3839·4
1997 11 9839·2
1997 10 5039·4
1997 09 2539·6
1997 08 9739.9
1997 07 6040·4
1997 06 2740·3
1997 05 6440.4
1997 04 3440·2
1997 03 7439.5
1997 02 439·1
1997 01 4438·7
1996 12 7239·3
1996 11 9839·9
1996 10 6740.6
1996 09 8339.9
1996 08 6340.0
1996 07 1439.7
1996 06 3039.9
1996 05 2640.2
1996 04 8239.7
1996 03 2639.4
1996 02 3138.9
1996 01 4237.9
1995 12 3039·8
1995 11 6940·0
1995 10 3239.7
1995 09 2440·0
1995 08 3239·9
1995 07 9739·6
1995 06 2139·7
1995 05 9339·2
1995 04 3739·1
1995 03 9238.8
1995 02 1238·8
1995 01 9238·3
1994 12 2339·2
1994 11 6239.0
1994 10 4239.8
1994 09 9140·2
1994 08 8840·1
1994 07 3840·3
1994 06 7440·5
1994 05 8340·0
1994 04 5939·8
1994 03 7739·0
1994 02 9637·6
1994 01 8838·1
1993 12 8640.8
1993 11 5940.8
1993 10 2140·6
1993 09 5041.0
1993 08 4340.9
1993 07 9341·0
1993 06 8741.0
1993 05 3840.9
1993 04 3340·7
1993 03 839.7
1993 02 5639.5
1993 01 4639·6
1992 12 7940.3
1992 11 6339·9
1992 10 1740.5
1992 09 9339.4
1992 08 3341·0
1992 07 3940·7
1992 06 8240.6
1992 05 2440·7
1992 04 6939.8
1992 03 4240·0
1992 02 9039.5
1992 01 739.0
1991 12 8840·2
1991 11 439·7
1991 10 340·7
1991 09 3741·0
1991 08 1741.5
1991 07 8240·9
1991 06 940·8
1991 05 3340·6
1991 04 440.3
1991 03 5740.1
1991 02 2140·0
1991 01 3939.4
1990 12 2540.6
1990 11 3640.7
1990 10 7640·9
1990 09 2441·1
1990 08 8140·7
1990 07 5040.8
1990 06 3941.4
1990 05 8241·0
1990 04 9740.8
1990 03 5740.7
1990 02 9640·4
1990 01 3340.4
1989 12 2340.2
1989 11 3840.9
1989 10 6140·9
1989 09 2041.8
1989 08 3641.4
1989 07 9941.9
1989 06 7141·6
1989 05 1341·6
1989 04 3541·1
1989 03 7241.1
1989 02 9040·6
1989 01 640.1
1988 12 4540·5
1988 11 1440·9
1988 10 441·3
1988 09 1741.2
1988 08 1741·2
1988 07 641·5
1988 06 2841.8
1988 05 9241.6
1988 04 2741.6
1988 03 5640.6
1988 02 9940·0
1988 01 9940·0
1987 12 7541·2
1987 11 9441.0
1987 10 8041.1
1987 09 3339.7
1987 08 8541·4
1987 07 7842.0
1987 06 5841·5
1987 05 1241·7
1987 04 1040.7
1987 03 8840·8
1987 02 4840.5
1987 01 8040·4
1986 12 2341·3
1986 11 3241.0
1986 10 8541.6
1986 09 841.6
1986 08 2641.7
1986 07 4241·2
1986 06 3541·4
1986 05 8841.4
1986 04 4441·2
1986 03 7341·0
1986 02 8340.3
1986 01 4140.5
1985 12 2740·9
1985 11 841·1
1985 10 4441·4
1985 09 1041·9
1985 08 5041.7
1985 07 5341·5
1985 06 5541.2
1985 05 6441.3
1985 04 1440·9
1985 03 4040·9
1985 02 7940·4
1985 01 9840·0
1984 12 4540·3
1984 11 2539·9
1984 10 440.2
1984 09 3041.4
1984 08 9241·2
1984 07 9141·0
1984 06 4241·5
1984 05 541.0
1984 04 3240·7
1984 03 4340·4
1984 02 3340·4
1984 01 9339·7
1983 12 6439·7
1983 11 1439·6
1983 10 3840.0
1983 09 8640.7
1983 08 1441.0
1983 07 5940·5
1983 06 4540.3
1983 05 439.8
1983 04 3240·1
1983 03 6239.4
1983 02 6838.8
1983 01 9239.6
1982 12 9439.6
1982 11 2739·3
1982 10 4440·0
1982 09 1840·4
1982 08 9940.3
1982 07 8840·6
1982 06 3640·4
1982 05 7739·9
1982 04 7539.8
1982 03 039.9
1982 02 3239·2
1982 01 8838·2
1981 12 7040.0
1981 11 4540.1
1981 10 4540·0
1981 09 9539.7
1981 08 6141.3
1981 07 3041.7
1981 06 1341·0
1981 05 6740·8
1981 04 4740·4
1981 03 8740.7
1981 02 9939·9
1981 01 9740.3
1980 12 5441.0
1980 11 7241.1
1980 10 9041.4
1980 09 741.9
1980 08 3341.4
1980 07 6741.3
1980 06 041·5
1980 05 3940·9
1980 04 5840.7
1980 03 7841.2
1980 02 6640·9
1980 01 6240.7
1979 12 3041·6
1979 11 3741.4
1979 10 5242·0
1979 09 7142·9
1979 08 7642.8
1979 07 142·2
1979 06 4442·0
1979 05 8542·1
1979 04 4441.5
1979 03 5242.1
1979 02 5740.8
1979 01 4940.9
1978 12 1042.2
1978 11 9542·1
1978 10 2742·9
1978 09 3043.0
1978 08 7643.4
1978 07 6343·0
1978 06 1943.1
1978 05 2442.5
1978 04 6542·3
1978 03 1241·9
1978 02 1940.9
1978 01 4940·9
1977 12 2941.6
1977 11 2441.4
1977 10 4042·2
1977 09 5043·0
1977 08 4343.1
1977 07 643·2
1977 06 2242·7
1977 05 9542.4
1977 04 742.7
1977 03 8942·0
1977 02 2541·7
1977 01 8040·8
1976 12 4741.7
1976 11 3042.1
1976 10 3942·0
1976 09 2242·8
1976 08 1342·6
1976 07 1042·9
1976 06 7642.6
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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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