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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 2938·7
 1976 07 2138.7
 1976 08 1738.7
 1976 09 6438.8
 1976 10 3238·7
 1976 11 9338·9
 1976 12 2338·8
 1977 01  2638.2
 1977 02  8839.0
 1977 03  5138·6
 1977 04  1739·0
 1977 05  7539.0
 1977 06  4838·9
 1977 07  7638.9
 1977 08  1338·8
 1977 09  5438·8
 1977 10  8838·9
 1977 11  7638·8
 1977 12  4838·5
 1978 01 3238·3
 1978 02 838.8
 1978 03 8238.8
 1978 04 8438.8
 1978 05 438.9
 1978 06 3439·2
 1978 07 5039·0
 1978 08 1139.1
 1978 09 8939·0
 1978 10 1539.0
 1978 11 6238.9
 1978 12 4139.0
 1979 01  3038.8
 1979 02  2838·8
 1979 03  2538.9
 1979 04  1138·5
 1979 05  9839.1
 1979 06  7239·0
 1979 07  7139·0
 1979 08  8538·9
 1979 09  8539.0
 1979 10  7339.1
 1979 11  5539·0
 1979 12  5138·9
 1980 01 1238.7
 1980 02 8138·7
 1980 03 6138·5
 1980 04 2138·5
 1980 05 2338·5
 1980 06 7238·4
 1980 07 9338.3
 1980 08 3338·4
 1980 09 8638·5
 1980 10 4638·5
 1980 11 8538.5
 1980 12 5038.5
 1981 01  9538.5
 1981 02  2938·4
 1981 03  9238·5
 1981 04  6138.2
 1981 05  7138·4
 1981 06  7138.4
 1981 07  9738·5
 1981 08  7838.4
 1981 09  5738.3
 1981 10  4738·1
 1981 11  638·4
 1981 12  3838.3
 1982 01 2136.7
 1982 02 5738·3
 1982 03 5038·2
 1982 04 538.1
 1982 05 5938·1
 1982 06 2838·0
 1982 07 8638.0
 1982 08 6738.0
 1982 09 8937.9
 1982 10 937.9
 1982 11 9737.9
 1982 12 3738.0
 1983 01  5638.1
 1983 02  7637·8
 1983 03  8738.0
 1983 04  5138·3
 1983 05  2938.2
 1983 06  3038.3
 1983 07  9038·3
 1983 08  7538·4
 1983 09  138·4
 1983 10  9538·5
 1983 11  6238·1
 1983 12  9438·6
 1984 01 9338.5
 1984 02 2238·8
 1984 03 8438·5
 1984 04 2338·7
 1984 05 4738·7
 1984 06 8638·8
 1984 07 6338·8
 1984 08 9838.7
 1984 09 3438.9
 1984 10 8938·8
 1984 11 3138·9
 1984 12 8438.8
 1985 01  4738·9
 1985 02  5438·7
 1985 03  4439·0
 1985 04  6739·0
 1985 05  639·1
 1985 06  3339.0
 1985 07  8538·9
 1985 08  6138.9
 1985 09  5439·0
 1985 10  139·0
 1985 11  5939.1
 1985 12  339.0
 1986 01 6239·2
 1986 02 5938·9
 1986 03 9839.0
 1986 04 5738.9
 1986 05 2238.9
 1986 06 3139.0
 1986 07 5938.9
 1986 08 1039.1
 1986 09 5439.0
 1986 10 6939.1
 1986 11 2339.1
 1986 12 7639·2
 1987 01  239.1
 1987 02  4739·4
 1987 03  9839·2
 1987 04  9239.2
 1987 05  3639·2
 1987 06  6639.1
 1987 07  1539·3
 1987 08  2039·2
 1987 09  5039·4
 1987 10  5139.2
 1987 11  3039.2
 1987 12  5039.3
 1988 01 6239·2
 1988 02 5339.3
 1988 03 2539·4
 1988 04 9339·8
 1988 05 1739·4
 1988 06 4739·4
 1988 07 739·3
 1988 08 8839·3
 1988 09 8439.2
 1988 10 3439.5
 1988 11 739.2
 1988 12 9839·3
 1989 01  5639.4
 1989 02  3939·4
 1989 03  8239.4
 1989 04  1039.2
 1989 05  5539·4
 1989 06  1139·4
 1989 07  1439.5
 1989 08  3739.6
 1989 09  2239·6
 1989 10  2839.6
 1989 11  1039·6
 1989 12  1839·5
 1990 01 2839·5
 1990 02 8939·5
 1990 03 039·4
 1990 04 1539·4
 1990 05 6739·2
 1990 06 1939.5
 1990 07 4239·4
 1990 08 1639·4
 1990 09 5739.4
 1990 10 6939·3
 1990 11 1739·4
 1990 12 3439·3
 1991 01  4439·2
 1991 02  1439.2
 1991 03  3239.1
 1991 04  638·9
 1991 05  9539·1
 1991 06  5539.1
 1991 07  1839·1
 1991 08  9739·2
 1991 09  639.1
 1991 10  1639.2
 1991 11  3339·1
 1991 12  9339.0
 1992 01 9539·2
 1992 02 5039·3
 1992 03 5739·3
 1992 04 739·2
 1992 05 639·2
 1992 06 3039.2
 1992 07 9839·2
 1992 08 7839.1
 1992 09 939.0
 1992 10 5739.2
 1992 11 8739·2
 1992 12 6839.2
 1993 01  9839·2
 1993 02  5739.3
 1993 03  8139.3
 1993 04  6539·4
 1993 05  9239.4
 1993 06  8039·3
 1993 07  6139·3
 1993 08  8239·4
 1993 09  3539.4
 1993 10  139.4
 1993 11  3439.4
 1993 12  5839·5
 1994 01 9639.0
 1994 02 2138.4
 1994 03 3139·2
 1994 04 5439.6
 1994 05 6939·3
 1994 06 6539·3
 1994 07 1039.3
 1994 08 5939·2
 1994 09 7439.2
 1994 10 8439·2
 1994 11 5238·9
 1994 12 8539.3
 1995 01  5539·3
 1995 02  5239·1
 1995 03  6339.2
 1995 04  7139.2
 1995 05  8039.1
 1995 06  7139.3
 1995 07  7639·3
 1995 08  7939.3
 1995 09  4439.2
 1995 10  6639·3
 1995 11  4739.4
 1995 12  9839.3
 1996 01 6637.8
 1996 02 8739.4
 1996 03 5739.3
 1996 04 3939.3
 1996 05 9139·3
 1996 06 939.3
 1996 07 1339·2
 1996 08 4239·3
 1996 09 8639·4
 1996 10 3339.5
 1996 11 4639·5
 1996 12 6939·3
 1997 01  4739·1
 1997 02  8439.3
 1997 03  1539·4
 1997 04  839.3
 1997 05  9339·5
 1997 06  1339·5
 1997 07  9939·4
 1997 08  7139·4
 1997 09  6839.5
 1997 10  9539.4
 1997 11  639.4
 1997 12  9739.5
 1998 01 4039·6
 1998 02 3139.5
 1998 03 6739·4
 1998 04 4939·5
 1998 05 439·5
 1998 06 4539.4
 1998 07 3939.6
 1998 08 1339·5
 1998 09 8039.1
 1998 10 8939·5
 1998 11 439·5
 1998 12 539.8
 1999 01  1139.4
 1999 02  3739.6
 1999 03  6839·5
 1999 04  6039.6
 1999 05  6639.5
 1999 06  9139.6
 1999 07  6339.5
 1999 08  4339.6
 1999 09  4039·1
 1999 10  7439.6
 1999 11  4639·7
 1999 12  4039.7
 2000 01 5239.7
 2000 02 3939.9
 2000 03 9839.7
 2000 04 6539·8
 2000 05 4539·7
 2000 06 5939.5
 2000 07 2539·7
 2000 08 5639·6
 2000 09 9039.7
 2000 10 3739.6
 2000 11 6039.6
 2000 12 7639·5
 2001 01  7939.5
 2001 02  9639·4
 2001 03  5939·4
 2001 04  1239·4
 2001 05  3339·4
 2001 06  8739·4
 2001 07  439.4
 2001 08  7839.3
 2001 09  9638.6
 2001 10  8739.2
 2001 11  139.2
 2001 12  1139·2
 2002 01 3539.3
 2002 02 9439·1
 2002 03 8239·1
 2002 04 7439.0
 2002 05 4739·1
 2002 06 3539·1
 2002 07 439.0
 2002 08 5639.1
 2002 09 5039·1
 2002 10 6039.0
 2002 11 4839·1
 2002 12 6838.7
 2003 01  8739.0
 2003 02  4439·0
 2003 03  2239·0
 2003 04  4939.1
 2003 05  2939.0
 2003 06  8839.0
 2003 07  5539·0
 2003 08  6239.0
 2003 09  6939·0
 2003 10  1739·1
 2003 11  639.0
 2003 12  9439·0
 2004 01 2639.1
 2004 02 8139·1
 2004 03 5639·1
 2004 04 6039.0
 2004 05 4539.0
 2004 06 5738·9
 2004 07 1139.0
 2004 08 9538·9
 2004 09 9438·8
 2004 10 4339.0
 2004 11 339.0
 2004 12 6439·2
 2005 01  6939·0
 2005 02  6639·1
 2005 03  9039.0
 2005 04  5438·9
 2005 05  8739.0
 2005 06  7739.2
 2005 07  5139.1
 2005 08  7839·1
 2005 09  9339.2
 2005 10  4939·1
 2005 11  9539·2
 2005 12  7539·1
 2006 01 5739·2
 2006 02 8539·2
 2006 03 5239·1
 2006 04 639·5
 2006 05 7239·2
 2006 06 939.2
 2006 07 8039.3
 2006 08 6039.3
 2006 09 5839·3
 2006 10 7139.2
 2006 11 6039·0
 2006 12 4939.3
 2007 01  5839·1
 2007 02  4738·8
 2007 03  9839.2
 2007 04  1339·1
 2007 05  4239.2
 2007 06  3839.1
 2007 07  2639·1
 2007 08  1239.1
 2007 09  539·0
 2007 10  6939.1
 2007 11  239.5
 2007 12  3639·1
 2008 01 6439·1
 2008 02 8939·0
 2008 03 639.0
 2008 04 9738·8
 2008 05 6438·9
 2008 06 7539.0
 2008 07 4538.8
 2008 08 3438·8
 2008 09 7538.7
 2008 10 2838.7
 2008 11 5138.6
 2008 12 838.4
 2009 01  9038.3
 2009 02  7138.3
 2009 03  8138.2
 2009 04  838·1
 2009 05  2938.0
 2009 06  5637.9
 2009 07  1538.0
 2009 08  4738.0
 2009 09  3638.5
 2009 10  5937·8
 2009 11  6238·0
 2009 12  6338.0
 2010 01 8038.2
 2010 02 7937.4
 2010 03 5138.1
 2010 04 1838·4
 2010 05 5538·2
 2010 06 4138.2
 2010 07 4138.2
 2010 08 138·1
 2010 09 8038.2
 2010 10 9738·2
 2010 11 1338.1
 2010 12 2438.2
 2011 01  9937.7
 2011 02  2238.2
 2011 03  7238.3
 2011 04  2638.3
 2011 05  8238·3
 2011 06  1638.3
 2011 07  5238·3
 2011 08  6838.2
 2011 09  2338·3
 2011 10  438.3
 2011 11  838·3
 2011 12  4038·4
 2012 01 4038.3
 2012 02 3738·4
 2012 03 2338.3
 2012 04 5438.4
 2012 05 7938·3
 2012 06 9138·4
 2012 07 238·4
 2012 08 4738·5
 2012 09 738·4
 2012 10 6538.5
 2012 11 7838.7
 2012 12 8338·5
 2013 01  2038.5
 2013 02  8538.6
 2013 03  738.6
 2013 04  5038.6
 2013 05  3638·6
 2013 06  138.6
 2013 07  7138.4
 2013 08  6038.6
 2013 09  9938·6
 2013 10  9038.9
 2013 11  7639·0
 2013 12  5138.3
 2014 01 7938.6
 2014 02 5038·0
 2014 03 5538·6
 2014 04 8738.7
 2014 05 7038·7
 2014 06 838.6
 2014 07 6338.4
 2014 08 5538·7
 2014 09 9138.8
 2014 10 1438.7
 2014 11 8238·7
 2014 12 6838.8
 2015 01  8638·8
 2015 02  4438·7
 2015 03  2038.8
 2015 04  6438·6
 2015 05  2438·7
 2015 06  9738.7
 2015 07  738·8
 2015 08  638·8
 2015 09  9938·8
 2015 10  9938·8
 2015 11  038.7
 2015 12  8138·8
 2016 01 3138·8
 2016 02 138·6
 2016 03 8238.9
 2016 04 338.9
 2016 05 6338·7
 2016 06 7838·8
 2016 07 5738·7
 2016 08 1038.7
 2016 09 6638.7
 2016 10 3038.6
 2016 11 6038.7
 2016 12 6438.7
 2017 01  3238·6
 2017 02  8338.8
 2017 03  4438·6
 2017 04  5338.8
 2017 05  8138.8
 2017 06  8738.9
 2017 07  9438.8
 2017 08  9138.7
 2017 09  5738.5
 2017 10  1738.8
 2017 11  1438·9


 2017 12  1438.9
 2018 01 3038·7
 2018 02 7438·9
 2018 03 3838·7
 2018 04 8738.9
 2018 05 9338.9
 2018 06 8438.9
 2018 07 2039·0
 2018 08 9639·0
 2018 09 6638·8
 2018 10 9638·9
 2018 11 4439·3
 2018 12 5538·9
 2019 01  9239·0
 2019 02  8738·7
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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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

Sites of Interest: Conerly Consulting: Economics for Business Decisions *

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