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 Series Title: Average Hours, Total At Work, All Industries: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1976 06 5538.7
 1976 07 138·7
 1976 08 3938.7
 1976 09 5138·8
 1976 10 4738.7
 1976 11 3538·9
 1976 12 2838.8
 1977 01  6938.2
 1977 02  8039·0
 1977 03  4238.6
 1977 04  9339·0
 1977 05  6039·0
 1977 06  538·9
 1977 07  338·9
 1977 08  4738.8
 1977 09  6938.8
 1977 10  9738.9
 1977 11  2738·8
 1977 12  2838.5
 1978 01 6638.3
 1978 02 5738·8
 1978 03 4438·8
 1978 04 9838.8
 1978 05 4338·9
 1978 06 1039.2
 1978 07 1139·0
 1978 08 4639.1
 1978 09 2039·0
 1978 10 539·0
 1978 11 1038.9
 1978 12 8439.0
 1979 01  4238.8
 1979 02  2038·8
 1979 03  4738·9
 1979 04  5038.5
 1979 05  7739.1
 1979 06  5439.0
 1979 07  5439.0
 1979 08  738.9
 1979 09  2039·0
 1979 10  3239·1
 1979 11  8839.0
 1979 12  4438·9
 1980 01 9038·7
 1980 02 538·7
 1980 03 3038·5
 1980 04 7238.5
 1980 05 3138.5
 1980 06 4838·4
 1980 07 8738·3
 1980 08 3038·4
 1980 09 1138.5
 1980 10 6238·5
 1980 11 9038.5
 1980 12 8138·5
 1981 01  2638.5
 1981 02  7238.4
 1981 03  9638·5
 1981 04  1338·2
 1981 05  9538.4
 1981 06  2838·4
 1981 07  8738·5
 1981 08  3838.4
 1981 09  6138.3
 1981 10  638.1
 1981 11  7038.4
 1981 12  9438·3
 1982 01 9336·7
 1982 02 738.3
 1982 03 7638·2
 1982 04 4538.1
 1982 05 8638·1
 1982 06 5438·0
 1982 07 6138·0
 1982 08 7738·0
 1982 09 5937·9
 1982 10 037.9
 1982 11 837.9
 1982 12 538·0
 1983 01  5638.1
 1983 02  2037.8
 1983 03  2338.0
 1983 04  6638.3
 1983 05  4738·2
 1983 06  1338·3
 1983 07  3738·3
 1983 08  2338.4
 1983 09  2438.4
 1983 10  538·5
 1983 11  838.1
 1983 12  6338.6
 1984 01 938.5
 1984 02 4738.8
 1984 03 1738·5
 1984 04 038·7
 1984 05 4338·7
 1984 06 1338·8
 1984 07 7038·8
 1984 08 7138.7
 1984 09 9838.9
 1984 10 538.8
 1984 11 9938·9
 1984 12 4038·8
 1985 01  6638·9
 1985 02  4838·7
 1985 03  6239·0
 1985 04  9439.0
 1985 05  6839·1
 1985 06  9239.0
 1985 07  3838·9
 1985 08  4738·9
 1985 09  4739·0
 1985 10  1239·0
 1985 11  3639·1
 1985 12  3539.0
 1986 01 7239·2
 1986 02 938.9
 1986 03 8739.0
 1986 04 2238·9
 1986 05 3738.9
 1986 06 839·0
 1986 07 4738·9
 1986 08 9639.1
 1986 09 6239.0
 1986 10 6139.1
 1986 11 9839.1
 1986 12 7039·2
 1987 01  9139.1
 1987 02  4139·4
 1987 03  4739.2
 1987 04  8239.2
 1987 05  9239·2
 1987 06  4939.1
 1987 07  2539·3
 1987 08  9439.2
 1987 09  6139.4
 1987 10  1239·2
 1987 11  8939.2
 1987 12  9439.3
 1988 01 1639.2
 1988 02 7939·3
 1988 03 2139.4
 1988 04 9639·8
 1988 05 139.4
 1988 06 2539·4
 1988 07 2739.3
 1988 08 3739.3
 1988 09 8639.2
 1988 10 5139·5
 1988 11 3839·2
 1988 12 8039·3
 1989 01  6439.4
 1989 02  8339.4
 1989 03  1339.4
 1989 04  1339.2
 1989 05  5539.4
 1989 06  7039.4
 1989 07  3139·5
 1989 08  4939·6
 1989 09  339.6
 1989 10  8939.6
 1989 11  039·6
 1989 12  2639.5
 1990 01 7639.5
 1990 02 3939·5
 1990 03 5239·4
 1990 04 639·4
 1990 05 7039·2
 1990 06 4739.5
 1990 07 4339·4
 1990 08 7839.4
 1990 09 439.4
 1990 10 6139.3
 1990 11 5539.4
 1990 12 5439.3
 1991 01  2039·2
 1991 02  5839.2
 1991 03  9439·1
 1991 04  7238·9
 1991 05  8939.1
 1991 06  3939·1
 1991 07  9239.1
 1991 08  9639·2
 1991 09  539·1
 1991 10  2839.2
 1991 11  539·1
 1991 12  1339·0
 1992 01 8739·2
 1992 02 7639·3
 1992 03 1639.3
 1992 04 3639·2
 1992 05 7939·2
 1992 06 5839·2
 1992 07 3139·2
 1992 08 339.1
 1992 09 5039·0
 1992 10 7539.2
 1992 11 8239.2
 1992 12 7639·2
 1993 01  9439·2
 1993 02  5239·3
 1993 03  2439·3
 1993 04  4439·4
 1993 05  3139·4
 1993 06  3939.3
 1993 07  4139.3
 1993 08  2039.4
 1993 09  439·4
 1993 10  1339·4
 1993 11  3839·4
 1993 12  4139.5
 1994 01 8339.0
 1994 02 7238·4
 1994 03 4739.2
 1994 04 7039·6
 1994 05 6139·3
 1994 06 4439·3
 1994 07 2539.3
 1994 08 9639·2
 1994 09 5939·2
 1994 10 7739·2
 1994 11 5338.9
 1994 12 3139·3
 1995 01  2039·3
 1995 02  4839.1
 1995 03  3939.2
 1995 04  1339·2
 1995 05  1339.1
 1995 06  5639·3
 1995 07  1339.3
 1995 08  439.3
 1995 09  3239·2
 1995 10  2839.3
 1995 11  3239·4
 1995 12  9439.3
 1996 01 9737·8
 1996 02 1439·4
 1996 03 7939.3
 1996 04 9439·3
 1996 05 5239·3
 1996 06 8839·3
 1996 07 5939.2
 1996 08 4339.3
 1996 09 6539.4
 1996 10 5239·5
 1996 11 439.5
 1996 12 339.3
 1997 01  3239·1
 1997 02  3039·3
 1997 03  7239·4
 1997 04  6239·3
 1997 05  7039.5
 1997 06  7439.5
 1997 07  4239.4
 1997 08  3439·4
 1997 09  2539·5
 1997 10  5839·4
 1997 11  2339·4
 1997 12  5639·5
 1998 01 6539.6
 1998 02 8339·5
 1998 03 4639.4
 1998 04 9139.5
 1998 05 8539·5
 1998 06 7539·4
 1998 07 6839·6
 1998 08 2739.5
 1998 09 339.1
 1998 10 8339.5
 1998 11 6939·5
 1998 12 7639·8
 1999 01  6439.4
 1999 02  8439·6
 1999 03  5739·5
 1999 04  7839.6
 1999 05  3739.5
 1999 06  7739·6
 1999 07  6439·5
 1999 08  9439.6
 1999 09  1639.1
 1999 10  8739.6
 1999 11  4539·7
 1999 12  1239.7
 2000 01 2139.7
 2000 02 6739·9
 2000 03 8339.7
 2000 04 4639·8
 2000 05 9439·7
 2000 06 8939·5
 2000 07 8539.7
 2000 08 3339.6
 2000 09 739·7
 2000 10 5639·6
 2000 11 8239·6
 2000 12 3639·5
 2001 01  5239.5
 2001 02  9339.4
 2001 03  3039·4
 2001 04  4339·4
 2001 05  4839.4
 2001 06  4939.4
 2001 07  1139.4
 2001 08  6739.3
 2001 09  4138·6
 2001 10  039·2
 2001 11  3239.2
 2001 12  4639.2
 2002 01 9939.3
 2002 02 4739.1
 2002 03 2539·1
 2002 04 4239·0
 2002 05 1639·1
 2002 06 1539.1
 2002 07 4639·0
 2002 08 4539·1
 2002 09 1139·1
 2002 10 5539·0
 2002 11 7639.1
 2002 12 6538·7
 2003 01  2939.0
 2003 02  4139.0
 2003 03  2439·0
 2003 04  4239·1
 2003 05  3839·0
 2003 06  7539·0
 2003 07  1939·0
 2003 08  3939·0
 2003 09  3339.0
 2003 10  8139.1
 2003 11  1939·0
 2003 12  4239.0
 2004 01 3339·1
 2004 02 1039·1
 2004 03 539·1
 2004 04 6639.0
 2004 05 8239·0
 2004 06 3738·9
 2004 07 8439·0
 2004 08 4738·9
 2004 09 5038.8
 2004 10 6439·0
 2004 11 8839.0
 2004 12 5039·2
 2005 01  2939·0
 2005 02  1439.1
 2005 03  7339.0
 2005 04  6138·9
 2005 05  4039·0
 2005 06  3939·2
 2005 07  2139·1
 2005 08  9339·1
 2005 09  2739·2
 2005 10  1439.1
 2005 11  3939·2
 2005 12  8539·1
 2006 01 5939.2
 2006 02 3939.2
 2006 03 5839·1
 2006 04 039.5
 2006 05 2939·2
 2006 06 4039·2
 2006 07 3539.3
 2006 08 2539·3
 2006 09 5739·3
 2006 10 6739.2
 2006 11 5139.0
 2006 12 7339·3
 2007 01  8839·1
 2007 02  9538·8
 2007 03  1339·2
 2007 04  8239·1
 2007 05  9039.2
 2007 06  2639.1
 2007 07  5339·1
 2007 08  1539.1
 2007 09  5739.0
 2007 10  8339·1
 2007 11  2839·5
 2007 12  6039·1
 2008 01 939·1
 2008 02 1939·0
 2008 03 1839·0
 2008 04 2938.8
 2008 05 9038·9
 2008 06 739.0
 2008 07 3138.8
 2008 08 6238.8
 2008 09 6938.7
 2008 10 4938·7
 2008 11 9938.6
 2008 12 1938.4
 2009 01  3938.3
 2009 02  6938·3
 2009 03  7738·2
 2009 04  9038·1
 2009 05  2138.0
 2009 06  1937·9
 2009 07  4938.0
 2009 08  8838.0
 2009 09  5838·5
 2009 10  7437·8
 2009 11  1938.0
 2009 12  5038·0
 2010 01 2038.2
 2010 02 3337·4
 2010 03 2038·1
 2010 04 3838.4
 2010 05 038·2
 2010 06 2338·2
 2010 07 938·2
 2010 08 4238.1
 2010 09 1838·2
 2010 10 9438·2
 2010 11 6738.1
 2010 12 7438.2
 2011 01  1837·7
 2011 02  2138·2
 2011 03  138.3
 2011 04  7138.3
 2011 05  6838.3
 2011 06  438.3
 2011 07  4238.3
 2011 08  9738·2
 2011 09  6438.3
 2011 10  7038·3
 2011 11  4738·3
 2011 12  3938.4
 2012 01 2438·3
 2012 02 6838·4
 2012 03 9838·3
 2012 04 1138·4
 2012 05 9338.3
 2012 06 7338.4
 2012 07 238·4
 2012 08 5138·5
 2012 09 3938.4
 2012 10 8738·5
 2012 11 8938·7
 2012 12 2038.5
 2013 01  5738·5
 2013 02  3438.6
 2013 03  1738·6
 2013 04  838·6
 2013 05  6638.6
 2013 06  6538·6
 2013 07  6838.4
 2013 08  2638.6
 2013 09  938.6
 2013 10  5538.9
 2013 11  4739·0
 2013 12  1438.3
 2014 01 5738.6
 2014 02 638.0
 2014 03 8738.6
 2014 04 3338·7
 2014 05 338·7
 2014 06 4138.6
 2014 07 4438.5
 2014 08 7238·7
 2014 09 6738.8
 2014 10 1238·7
 2014 11 038·7
 2014 12 4338.8
 2015 01  9238·8
 2015 02  9338.7
 2015 03  6238.8
 2015 04  8538.7
 2015 05  4838·7
 2015 06  8638·7
 2015 07  6038·8
 2015 08  6038.8
 2015 09  2838·8
 2015 10  1538·8
 2015 11  5338.7
 2015 12  5638·8
 2016 01 5338·8
 2016 02 3238·6
 2016 03 2038.8
 2016 04 8738·9
 2016 05 6638·7
 2016 06 1138.8
 2016 07 7038.7
 2016 08 8938·8
 2016 09 3638.7
 2016 10 5338.6
 2016 11 3438.7
 2016 12 2738·7
 2017 01  5738.6
 2017 02  8338.8
 2017 03  6838.6
 2017 04  8738·8
 2017 05  4938·8
 2017 06  5138·9
 2017 07  5438.8
 2017 08  8338·7


 2017 09  5638·5
 2017 10  3438·8
 2017 11  9838·9
 2017 12  5238·8
 2018 01 4638·7
 2018 02 3138.9
 2018 03 3338·7
 2018 04 5838·9
 2018 05 1438.9
 2018 06 6738.9
 2018 07 1539·0
 2018 08 8839.0
 2018 09 8038.8
 2018 10 9438·9
 2018 11 2539·3
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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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