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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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Go to beginning of data set
 2013 03  4238.5
 2013 02  9338·5
 2013 01  3938.5
 2012 12 4038.5
 2012 11 7838·7
 2012 10 3838.4
 2012 09 938·4
 2012 08 738·5
 2012 07 2938·3
 2012 06 3238·4
 2012 05 3038·3
 2012 04 2338·3
 2012 03 4838.3
 2012 02 5638.5
 2012 01 1538.3
 2011 12  3238.4
 2011 11  938.4
 2011 10  1738·3
 2011 09  138.3
 2011 08  238.2
 2011 07  1238·3
 2011 06  4638.3
 2011 05  5238.3
 2011 04  2938·3
 2011 03  8338.3
 2011 02  138·2
 2011 01  5637·7
 2010 12 3138·2
 2010 11 7238.1
 2010 10 6238.2
 2010 09 2538.2
 2010 08 5338·1
 2010 07 5538.2
 2010 06 3638·2
 2010 05 9738.2
 2010 04 6338·4
 2010 03 3238·1
 2010 02 5537·4
 2010 01 3538.2
 2009 12  5538·0
 2009 11  2838·0
 2009 10  7637·8
 2009 09  2838·6
 2009 08  4938·0
 2009 07  9538.0
 2009 06  8037.9
 2009 05  8738.0
 2009 04  9038·1
 2009 03  638.2
 2009 02  7438·3
 2009 01  5138·4
 2008 12 4538.4
 2008 11 6338.6
 2008 10 8938·7
 2008 09 8338·7
 2008 08 1038·8
 2008 07 9238.8
 2008 06 8239·0
 2008 05 7038.9
 2008 04 338.8
 2008 03 4139.0
 2008 02 3639.0
 2008 01 2639.1
 2007 12  6839.1
 2007 11  8839·5
 2007 10  5639·1
 2007 09  8839.0
 2007 08  7539·1
 2007 07  3239·1
 2007 06  7339·1
 2007 05  1939.2
 2007 04  1839.1
 2007 03  9839·2
 2007 02  4638.8
 2007 01  839.1
 2006 12 1639.3
 2006 11 3739·0
 2006 10 5539·2
 2006 09 6739·3
 2006 08 1239.3
 2006 07 2539·3
 2006 06 739.2
 2006 05 3339.2
 2006 04 7739.5
 2006 03 6139·1
 2006 02 3339.2
 2006 01 7139·2
 2005 12  539·1
 2005 11  7239·2
 2005 10  9139·1
 2005 09  6739.2
 2005 08  1339·1
 2005 07  739·1
 2005 06  6239.2
 2005 05  3539·0
 2005 04  4838·9
 2005 03  4239.0
 2005 02  5239·1
 2005 01  1239·0
 2004 12 7739·2
 2004 11 7739·0
 2004 10 9439·0
 2004 09 6238.8
 2004 08 9538.9
 2004 07 3839.0
 2004 06 4338.9
 2004 05 7239·0
 2004 04 2139.0
 2004 03 7539·1
 2004 02 8239·1
 2004 01 5539·1
 2003 12  9939.0
 2003 11  6439.0
 2003 10  1739·1
 2003 09  4939·0
 2003 08  9939.0
 2003 07  439.0
 2003 06  8039·0
 2003 05  1739.0
 2003 04  1439·1
 2003 03  2239·0
 2003 02  2739·0
 2003 01  4739.0
 2002 12 6438.7
 2002 11 6839.1
 2002 10 4039·0
 2002 09 5239·1
 2002 08 9239·1
 2002 07 1639·0
 2002 06 2639.1
 2002 05 7039.1
 2002 04 6839·0
 2002 03 6839.1
 2002 02 1639.1
 2002 01 6239.3
 2001 12  8739.2
 2001 11  4939·2
 2001 10  6739·2
 2001 09  1938·6
 2001 08  6639.3
 2001 07  939·4
 2001 06  6139·4
 2001 05  5139.4
 2001 04  5139.4
 2001 03  2439.4
 2001 02  439.4
 2001 01  9839·5
 2000 12 1039.5
 2000 11 9339·6
 2000 10 2839.6
 2000 09 2239.7
 2000 08 3839·6
 2000 07 4339.7
 2000 06 8939·5
 2000 05 1139·7
 2000 04 5339.8
 2000 03 2439.7
 2000 02 7039·9
 2000 01 7839·7
 1999 12  139·7
 1999 11  1139.7
 1999 10  7739.6
 1999 09  6039.1
 1999 08  4939.6
 1999 07  539·5
 1999 06  4039.6
 1999 05  2139.5
 1999 04  9339.6
 1999 03  3139·5
 1999 02  1839·6
 1999 01  4939.4
 1998 12 5139.8
 1998 11 3839.5
 1998 10 9239·5
 1998 09 5639·1
 1998 08 6739·5
 1998 07 439.6
 1998 06 6839·4
 1998 05 8039.5
 1998 04 1139·5
 1998 03 2839·4
 1998 02 7839·5
 1998 01 8539·6
 1997 12  7639.5
 1997 11  3539·4
 1997 10  7939·4
 1997 09  5839.5
 1997 08  8339.4
 1997 07  7739·4
 1997 06  5239·5
 1997 05  1139·5
 1997 04  7439·3
 1997 03  2739.4
 1997 02  439·3
 1997 01  8439.1
 1996 12 1939.3
 1996 11 8739·5
 1996 10 6739.5
 1996 09 3839.4
 1996 08 1339·3
 1996 07 8339·2
 1996 06 9639.3
 1996 05 6239·3
 1996 04 7439.3
 1996 03 6439.3
 1996 02 7539.4
 1996 01 6937·8
 1995 12  4739.3
 1995 11  539·4
 1995 10  939.3
 1995 09  9639·2
 1995 08  139·3
 1995 07  839·3
 1995 06  3139.3
 1995 05  639·1
 1995 04  2939·2
 1995 03  9839.2
 1995 02  9639.1
 1995 01  8839.3
 1994 12 5139·3
 1994 11 2538.9
 1994 10 8639·2
 1994 09 5339·2
 1994 08 1139.2
 1994 07 6439.3
 1994 06 939.3
 1994 05 4139·3
 1994 04 7939.6
 1994 03 1639.2
 1994 02 9538·4
 1994 01 1439·0
 1993 12  4839.5
 1993 11  639.4
 1993 10  139.4
 1993 09  5939.4
 1993 08  3839·4
 1993 07  8539.3
 1993 06  1039·3
 1993 05  9039.4
 1993 04  9239.4
 1993 03  2739.3
 1993 02  2739·3
 1993 01  4539.2
 1992 12 8039.2
 1992 11 3439·2
 1992 10 8539.2
 1992 09 8639.0
 1992 08 9639.1
 1992 07 3139·2
 1992 06 3939·2
 1992 05 139.2
 1992 04 5939.2
 1992 03 6839·3
 1992 02 7239.3
 1992 01 439.2
 1991 12  1439·0
 1991 11  2139.1
 1991 10  9039.2
 1991 09  3139.1
 1991 08  2839.2
 1991 07  9039.1
 1991 06  2539.1
 1991 05  4739·1
 1991 04  9838·9
 1991 03  039·1
 1991 02  3339·2
 1991 01  3939·2
 1990 12 4139.3
 1990 11 139·4
 1990 10 9739.3
 1990 09 1939·4
 1990 08 139.4
 1990 07 7039.4
 1990 06 2239.5
 1990 05 2639.2
 1990 04 4939.4
 1990 03 639.4
 1990 02 4139.5
 1990 01 2339·5
 1989 12  7839·5
 1989 11  3539.6
 1989 10  1039.6
 1989 09  9739·6
 1989 08  739·6
 1989 07  839.5
 1989 06  1039·4
 1989 05  6239.4
 1989 04  8039·2
 1989 03  9939.4
 1989 02  4939.4
 1989 01  5539·4
 1988 12 6739·3
 1988 11 939·2
 1988 10 5739·5
 1988 09 3939.2
 1988 08 6139.3
 1988 07 6439.3
 1988 06 9239.4
 1988 05 239·4
 1988 04 8339·8
 1988 03 1439·4
 1988 02 3639.3
 1988 01 5739.2
 1987 12  7539.3
 1987 11  3339.2
 1987 10  9439·2
 1987 09  4139.4
 1987 08  739·2
 1987 07  2439·3
 1987 06  9939·1
 1987 05  1939.2
 1987 04  7439·2
 1987 03  1039.2
 1987 02  739·4
 1987 01  7739·1
 1986 12 9439·2
 1986 11 4339·1
 1986 10 039.1
 1986 09 2839·0
 1986 08 1139·1
 1986 07 9838·9
 1986 06 8439.0
 1986 05 1138·9
 1986 04 9538·9
 1986 03 7539·0
 1986 02 9138.9
 1986 01 8939·2
 1985 12  4039·0
 1985 11  9939·1
 1985 10  7839.0
 1985 09  4839·0
 1985 08  6438·9
 1985 07  2238·9
 1985 06  2739.0
 1985 05  239·1
 1985 04  1339·0
 1985 03  1739·0
 1985 02  4338·7
 1985 01  9038·9
 1984 12 5538.8
 1984 11 8738.9
 1984 10 5938·8
 1984 09 7338.9
 1984 08 8438.7
 1984 07 5638.8
 1984 06 3138.8
 1984 05 4038·7
 1984 04 2038.7
 1984 03 7438·5
 1984 02 4138.8
 1984 01 338·5
 1983 12  638.6
 1983 11  1738·1
 1983 10  9638.5
 1983 09  138·4
 1983 08  1338·4
 1983 07  8638.3
 1983 06  2738·3
 1983 05  9738.2
 1983 04  3338.3
 1983 03  538·0
 1983 02  9137.8
 1983 01  7738·1
 1982 12 8638.0
 1982 11 2537.9
 1982 10 6937.9
 1982 09 5637.9
 1982 08 1638.0
 1982 07 2238·0
 1982 06 6938·0
 1982 05 7138.1
 1982 04 9238·1
 1982 03 9638.2
 1982 02 2138.3
 1982 01 8536.7
 1981 12  938·3
 1981 11  7238.4
 1981 10  8338·1
 1981 09  8638.3
 1981 08  8638.4
 1981 07  138.5
 1981 06  3538·4
 1981 05  8638.4
 1981 04  6638·2
 1981 03  5738.5
 1981 02  8638.4
 1981 01  2438.5
 1980 12 2038·5
 1980 11 4238·5
 1980 10 6538.5
 1980 09 6338·5
 1980 08 4038.4
 1980 07 8138.3
 1980 06 3138.4
 1980 05 9038·5
 1980 04 4638.5
 1980 03 2538.5
 1980 02 6438·7
 1980 01 1838·7
 1979 12  8338.9
 1979 11  4839·0
 1979 10  7239·1
 1979 09  8639·0
 1979 08  1938.9
 1979 07  5039.0
 1979 06  8539·0
 1979 05  5539.1
 1979 04  4938·5
 1979 03  5938.9
 1979 02  6138·8
 1979 01  1538·8
 1978 12 9139·0
 1978 11 2338.9
 1978 10 8139.0
 1978 09 7739.0
 1978 08 9139.1
 1978 07 1839.0
 1978 06 5239·2
 1978 05 8038.9
 1978 04 1638.8
 1978 03 4538·8
 1978 02 538·8
 1978 01 8738.3
 1977 12  6138·5
 1977 11  2938.8
 1977 10  9838.9
 1977 09  8638.8
 1977 08  4638·8


 1977 07  2038·9
 1977 06  1138.9
 1977 05  8839.0
 1977 04  1439.0
 1977 03  9438·6
 1977 02  5139·0
 1977 01  3438·2
 1976 12 3538·8
 1976 11 5138.9
 1976 10 5138·7
 1976 09 8438.8
 1976 08 338·7
 1976 07 1638·7
 1976 06 6638·7
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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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