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 Series Title: Average Hours, Total At Work, All Industries: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2013 04  2738.2
 2013 03  9838.5
 2013 02  238·5
 2013 01  3338·5
 2012 12 1538.5
 2012 11 6838.7
 2012 10 1838·4
 2012 09 1838.4
 2012 08 638·5
 2012 07 7338.3
 2012 06 7238·4
 2012 05 4038·3
 2012 04 5238·3
 2012 03 9638·3
 2012 02 7838·5
 2012 01 4138·3
 2011 12  2738.4
 2011 11  4438·4
 2011 10  7238.3
 2011 09  9238.3
 2011 08  3238.2
 2011 07  4738.3
 2011 06  1938.3
 2011 05  8738.3
 2011 04  9338·3
 2011 03  6338.3
 2011 02  638.2
 2011 01  4437·7
 2010 12 5938·2
 2010 11 7238·1
 2010 10 4638·2
 2010 09 838.2
 2010 08 738.1
 2010 07 8338.2
 2010 06 7738.2
 2010 05 4938·2
 2010 04 3638·4
 2010 03 2638·1
 2010 02 6137.4
 2010 01 5938.2
 2009 12  7238·0
 2009 11  5938.0
 2009 10  8637.8
 2009 09  5938.6
 2009 08  6638·0
 2009 07  6238.0
 2009 06  6737·9
 2009 05  9238·0
 2009 04  9238·1
 2009 03  4238.2
 2009 02  3938.3
 2009 01  2738·4
 2008 12 5138.4
 2008 11 3138.6
 2008 10 6738.7
 2008 09 6038.7
 2008 08 6938·8
 2008 07 8738.8
 2008 06 3739.0
 2008 05 838·9
 2008 04 9638·8
 2008 03 8939.0
 2008 02 6439·0
 2008 01 1639.1
 2007 12  739·1
 2007 11  4539·5
 2007 10  8539·1
 2007 09  5339.0
 2007 08  339·1
 2007 07  8739·1
 2007 06  6239·1
 2007 05  1439·2
 2007 04  939·1
 2007 03  7139·2
 2007 02  8438.8
 2007 01  1739.1
 2006 12 7539.3
 2006 11 7939·0
 2006 10 6439.2
 2006 09 639.3
 2006 08 7739.3
 2006 07 1839·3
 2006 06 3939.2
 2006 05 5239.2
 2006 04 1639·5
 2006 03 1839.1
 2006 02 7239·2
 2006 01 4739·2
 2005 12  1639.1
 2005 11  3739.2
 2005 10  5239·1
 2005 09  1139.2
 2005 08  2839.1
 2005 07  5739·1
 2005 06  9039.2
 2005 05  8839.0
 2005 04  2838.9
 2005 03  8439·0
 2005 02  2639.1
 2005 01  4739.0
 2004 12 1539·2
 2004 11 5039·0
 2004 10 2239·0
 2004 09 8338·8
 2004 08 1638·9
 2004 07 1139·0
 2004 06 6538.9
 2004 05 1539·0
 2004 04 8039.0
 2004 03 4839·1
 2004 02 6939·1
 2004 01 8639·1
 2003 12  8439·0
 2003 11  7039·0
 2003 10  7239·1
 2003 09  6539·0
 2003 08  2639.0
 2003 07  739.0
 2003 06  3639·0
 2003 05  4839.0
 2003 04  3439.1
 2003 03  1539.0
 2003 02  4939.0
 2003 01  5339.0
 2002 12 5638.7
 2002 11 7839.1
 2002 10 2539·0
 2002 09 2439·1
 2002 08 7039.1
 2002 07 039.0
 2002 06 139.1
 2002 05 3139.1
 2002 04 7439.0
 2002 03 1439.1
 2002 02 4039.1
 2002 01 6739·3
 2001 12  9439·2
 2001 11  7739.2
 2001 10  2939·2
 2001 09  5238·6
 2001 08  8139·3
 2001 07  7039.4
 2001 06  8339·4
 2001 05  2939·4
 2001 04  1139·4
 2001 03  9939·4
 2001 02  3839.4
 2001 01  6939.5
 2000 12 8339·5
 2000 11 9739.6
 2000 10 5839·6
 2000 09 6439.7
 2000 08 2239·6
 2000 07 2039·7
 2000 06 3039·5
 2000 05 3539·7
 2000 04 8039.8
 2000 03 5039·7
 2000 02 6839.9
 2000 01 2539·7
 1999 12  3239·7
 1999 11  9339·7
 1999 10  939·6
 1999 09  439·1
 1999 08  7839·6
 1999 07  8139.5
 1999 06  1639·6
 1999 05  6539.5
 1999 04  4339·6
 1999 03  7039·5
 1999 02  7739.6
 1999 01  2839.4
 1998 12 7839.8
 1998 11 4339.5
 1998 10 539.5
 1998 09 3739·1
 1998 08 5839.5
 1998 07 539·6
 1998 06 3739.4
 1998 05 6139·5
 1998 04 8439·5
 1998 03 9039·4
 1998 02 3839·5
 1998 01 9539·6
 1997 12  8139.5
 1997 11  5239.4
 1997 10  9439·4
 1997 09  5639·5
 1997 08  039·4
 1997 07  7439·4
 1997 06  1939·5
 1997 05  9139.5
 1997 04  1539·3
 1997 03  6239.4
 1997 02  5039.3
 1997 01  6639.1
 1996 12 2839.3
 1996 11 4939·5
 1996 10 5039.5
 1996 09 7839·4
 1996 08 6339.3
 1996 07 9039·2
 1996 06 739.3
 1996 05 4439·3
 1996 04 7139.3
 1996 03 6839·3
 1996 02 3539.4
 1996 01 1037·8
 1995 12  2739·3
 1995 11  8939·4
 1995 10  7039.3
 1995 09  4439.2
 1995 08  3239·3
 1995 07  8439.3
 1995 06  7639.3
 1995 05  4039.1
 1995 04  1139.2
 1995 03  1139.2
 1995 02  4139.1
 1995 01  1739·3
 1994 12 1539·3
 1994 11 5038·9
 1994 10 7839.2
 1994 09 2039.2
 1994 08 1939·2
 1994 07 939·3
 1994 06 2439.3
 1994 05 1839.3
 1994 04 2339.6
 1994 03 1939.2
 1994 02 4238.4
 1994 01 539·0
 1993 12  5339·5
 1993 11  3839.4
 1993 10  2139.4
 1993 09  039.4
 1993 08  5939.4
 1993 07  4539.3
 1993 06  7339·3
 1993 05  4739.4
 1993 04  1639.4
 1993 03  4939.3
 1993 02  3639.3
 1993 01  1539·2
 1992 12 2539·2
 1992 11 8039.2
 1992 10 7339.2
 1992 09 9939·0
 1992 08 1239·1
 1992 07 9639·2
 1992 06 7239·2
 1992 05 1739·2
 1992 04 2639·2
 1992 03 7839·3
 1992 02 4539·3
 1992 01 1539·2
 1991 12  4339·0
 1991 11  3339·1
 1991 10  3139.2
 1991 09  6039·1
 1991 08  6439·2
 1991 07  9239.1
 1991 06  9339·1
 1991 05  4739·1
 1991 04  1438.9
 1991 03  1239.1
 1991 02  1839·2
 1991 01  9539.2
 1990 12 4239·3
 1990 11 7439·4
 1990 10 1939·3
 1990 09 4839·4
 1990 08 2639·4
 1990 07 8639.4
 1990 06 3539·5
 1990 05 7639·2
 1990 04 6439·4
 1990 03 7939·4
 1990 02 2739·5
 1990 01 7339.5
 1989 12  8339·5
 1989 11  939·6
 1989 10  8539·6
 1989 09  5739.6
 1989 08  3339.6
 1989 07  5839.5
 1989 06  2139.4
 1989 05  7339.4
 1989 04  8939·2
 1989 03  3339.4
 1989 02  7239·4
 1989 01  9039.4
 1988 12 5139·3
 1988 11 6639.2
 1988 10 239·5
 1988 09 339·2
 1988 08 4539·3
 1988 07 1339·3
 1988 06 9839·4
 1988 05 2939.4
 1988 04 2239·8
 1988 03 5539.4
 1988 02 7439·3
 1988 01 1439·2
 1987 12  5639·3
 1987 11  039·2
 1987 10  6739·2
 1987 09  2739.4
 1987 08  4939.2
 1987 07  7939.3
 1987 06  4039·1
 1987 05  6139.2
 1987 04  2539·2
 1987 03  4939.2
 1987 02  8239·4
 1987 01  3639·1
 1986 12 3539.2
 1986 11 9039·1
 1986 10 439.1
 1986 09 9639·0
 1986 08 5439.1
 1986 07 1138.9
 1986 06 4639.0
 1986 05 1138·9
 1986 04 8338.9
 1986 03 4239.0
 1986 02 6938·9
 1986 01 7339.2
 1985 12  4839·0
 1985 11  4139·1
 1985 10  6139·0
 1985 09  339.0
 1985 08  9738.9
 1985 07  8838.9
 1985 06  3739·0
 1985 05  4539·1
 1985 04  839.0
 1985 03  9139·0
 1985 02  3338·7
 1985 01  6738.9
 1984 12 7938·8
 1984 11 8138.9
 1984 10 1238·8
 1984 09 6438.9
 1984 08 3838·7
 1984 07 1538·8
 1984 06 6238.8
 1984 05 5538·7
 1984 04 3338.7
 1984 03 7438.5
 1984 02 9638·8
 1984 01 8438·5
 1983 12  4138.6
 1983 11  6638.1
 1983 10  5338.5
 1983 09  2038.4
 1983 08  6238·4
 1983 07  2138.3
 1983 06  9438·3
 1983 05  5838.2
 1983 04  2138·3
 1983 03  9638.0
 1983 02  837·8
 1983 01  1738.1
 1982 12 6838·0
 1982 11 7337.9
 1982 10 837.9
 1982 09 4037.9
 1982 08 8038.0
 1982 07 5938·0
 1982 06 3138·0
 1982 05 9638·1
 1982 04 5538.1
 1982 03 8538·2
 1982 02 4138·3
 1982 01 8136.7
 1981 12  2138·3
 1981 11  938·4
 1981 10  2538.1
 1981 09  1338·3
 1981 08  2738.4
 1981 07  1038.5
 1981 06  9638.4
 1981 05  3638·4
 1981 04  4838.2
 1981 03  9738.5
 1981 02  9338.4
 1981 01  2038·5
 1980 12 8638.5
 1980 11 138.5
 1980 10 7738.5
 1980 09 5838·5
 1980 08 6438.4
 1980 07 7838.3
 1980 06 3838·4
 1980 05 6938·5
 1980 04 3538·5
 1980 03 1038.5
 1980 02 8738.7
 1980 01 9938.7
 1979 12  7238.9
 1979 11  439.0
 1979 10  6339.1
 1979 09  1539·0
 1979 08  7738.9
 1979 07  9239·0
 1979 06  2839.0
 1979 05  1339.1
 1979 04  7538·5
 1979 03  2938·9
 1979 02  7138.8
 1979 01  1138·8
 1978 12 1639·0
 1978 11 9838.9
 1978 10 539.0
 1978 09 5339.0
 1978 08 7639·1
 1978 07 539.0
 1978 06 6639.2
 1978 05 838.9
 1978 04 5538·8
 1978 03 8338.8
 1978 02 1938.8
 1978 01 7238.3
 1977 12  7938.5
 1977 11  8738.8
 1977 10  5138.9
 1977 09  6238·8
 1977 08  9738.8


 1977 07  9938·9
 1977 06  7438.9
 1977 05  2339.0
 1977 04  8639·0
 1977 03  2638·6
 1977 02  2839·0
 1977 01  2438.2
 1976 12 4538.8
 1976 11 038·9
 1976 10 7438.7
 1976 09 5938·8
 1976 08 038.7
 1976 07 7638·7
 1976 06 138.7
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US Unemployment Rate: Alternative Measures of Labor Underutilization

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

Input your search text below.
or alter the examples after this blank template.







      Example 1: Get Unemployment Rates for people in Computer jobs







      Example 2: Get Employment Data for Workers in the "Retail Trade" Industry







      Example 3: Get Population Level Data for Workers





 Series Title: Average Hours, Total At Work, All Industries: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

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