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 Series Title: Average Hours At Work For Civilian Labor Force White: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 2038.4
 2012 03 5038·3
 2012 02 4538·3
 2012 01 9538.1
 2011 12  1438·5
 2011 11  1838·1
 2011 10  2638.4
 2011 09  8738.7
 2011 08  3038·5
 2011 07  4038·5
 2011 06  6538·6
 2011 05  3538·7
 2011 04  1938·4
 2011 03  9938·3
 2011 02  7438·1
 2011 01  8237.6
 2010 12 5738.3
 2010 11 137·9
 2010 10 9038·3
 2010 09 9738·6
 2010 08 4338·3
 2010 07 7838.4
 2010 06 7838·3
 2010 05 7438·5
 2010 04 438·5
 2010 03 8638.2
 2010 02 2437·2
 2010 01 3338.0
 2009 12  8938.0
 2009 11  637·7
 2009 10  4237·8
 2009 09  1736·1
 2009 08  7438.1
 2009 07  4738.1
 2009 06  6938.1
 2009 05  9638.3
 2009 04  5938.0
 2009 03  3838·2
 2009 02  6938·1
 2009 01  6538·2
 2008 12 7038·4
 2008 11 3838·2
 2008 10 2938.8
 2008 09 4139.1
 2008 08 5739.1
 2008 07 2739.0
 2008 06 6239·2
 2008 05 6939.3
 2008 04 9639.1
 2008 03 1239·1
 2008 02 638.8
 2008 01 1838·9
 2007 12  8639.1
 2007 11  2439·2
 2007 10  2439.2
 2007 09  8439.5
 2007 08  5439·4
 2007 07  2139.3
 2007 06  439·4
 2007 05  8339·6
 2007 04  5039.1
 2007 03  8539·2
 2007 02  5938·5
 2007 01  6238·9
 2006 12 4839.4
 2006 11 2039·0
 2006 10 2739·3
 2006 09 8839.7
 2006 08 5039·5
 2006 07 6139.5
 2006 06 7039·5
 2006 05 5639.4
 2006 04 8138·7
 2006 03 6239.1
 2006 02 7639.0
 2006 01 8639·0
 2005 12  9139.2
 2005 11  638.9
 2005 10  5839.1
 2005 09  2039.6
 2005 08  5639.4
 2005 07  9939.4
 2005 06  5539.4
 2005 05  3039.2
 2005 04  7539.3
 2005 03  7339·1
 2005 02  2938.9
 2005 01  738·8
 2004 12 7539.2
 2004 11 8438.7
 2004 10 6839.1
 2004 09 7339.2
 2004 08 639.2
 2004 07 1539.2
 2004 06 8539·2
 2004 05 7039·3
 2004 04 4339·0
 2004 03 7139·1
 2004 02 1738·9
 2004 01 6938.9
 2003 12  8739.0
 2003 11  8538.8
 2003 10  2839.0
 2003 09  6239.5
 2003 08  6339·3
 2003 07  1339·2
 2003 06  639·3
 2003 05  7039.3
 2003 04  2039·1
 2003 03  3739·1
 2003 02  6338·8
 2003 01  3638·8
 2002 12 3638·7
 2002 11 6338.8
 2002 10 3739·4
 2002 09 3039.5
 2002 08 1039.4
 2002 07 2339·3
 2002 06 9239·4
 2002 05 4639·4
 2002 04 6739·3
 2002 03 7439·1
 2002 02 1538·8
 2002 01 239·1
 2001 12  5939.2
 2001 11  9738.8
 2001 10  1839·1
 2001 09  4339·0
 2001 08  5939·7
 2001 07  9939·7
 2001 06  4139·8
 2001 05  3939.8
 2001 04  6938·6
 2001 03  1139.3
 2001 02  4539.1
 2001 01  8339·3
 2000 12 1539.5
 2000 11 9139.5
 2000 10 1939.6
 2000 09 9440·2
 2000 08 4640·0
 2000 07 2040·0
 2000 06 7639.9
 2000 05 1740.0
 2000 04 3739·8
 2000 03 439·6
 2000 02 5339.6
 2000 01 2039·3
 1999 12  9039.8
 1999 11  7539.3
 1999 10  1339·7
 1999 09  9839·6
 1999 08  3040.0
 1999 07  9039·9
 1999 06  4540·0
 1999 05  7139.8
 1999 04  739.7
 1999 03  3139·5
 1999 02  6039·3
 1999 01  8139.1
 1998 12 9639.8
 1998 11 339·1
 1998 10 9839.5
 1998 09 9936.8
 1998 08 9840·0
 1998 07 3940·0
 1998 06 2139·9
 1998 05 1839.9
 1998 04 3839.5
 1998 03 9639·3
 1998 02 1639.3
 1998 01 5739.3
 1997 12  6739·6
 1997 11  5539.1
 1997 10  9739.4
 1997 09  6140.1
 1997 08  5940.0
 1997 07  2239.8
 1997 06  239·9
 1997 05  039·9
 1997 04  1639.5
 1997 03  2939.3
 1997 02  9339.0
 1997 01  6638.8
 1996 12 6339·3
 1996 11 3439.2
 1996 10 5839·9
 1996 09 7940.0
 1996 08 5039.9
 1996 07 1739·7
 1996 06 1139.8
 1996 05 8339·8
 1996 04 5339·2
 1996 03 8539·3
 1996 02 8839·1
 1996 01 4837.6
 1995 12  7239·3
 1995 11  7039·4
 1995 10  5439·4
 1995 09  6739.8
 1995 08  3239·8
 1995 07  2839.8
 1995 06  9639.8
 1995 05  6039.5
 1995 04  8338.3
 1995 03  4139.2
 1995 02  2638·9
 1995 01  7139.1
 1994 12 239·3
 1994 11 1738.6
 1994 10 8339·3
 1994 09 6839.8
 1994 08 8839·8
 1994 07 8539·8
 1994 06 3039·8
 1994 05 4739·7
 1994 04 6739·6
 1994 03 439·2
 1994 02 5438.1
 1994 01 2638.8
 1993 12  9039·6
 1993 11  5439.1
 1993 10  6939.5
 1993 09  5040·0
 1993 08  3140.0
 1993 07  4340.0
 1993 06  1239.9
 1993 05  8639.8
 1993 04  9139·4
 1993 03  239·3
 1993 02  4639.0
 1993 01  3139.1
 1992 12 9639.3
 1992 11 8738.9
 1992 10 5939·2
 1992 09 236.7
 1992 08 9639.8
 1992 07 8039·8
 1992 06 6439.8
 1992 05 4539.7
 1992 04 6538·4
 1992 03 8939·3
 1992 02 9839·0
 1992 01 2739.0
 1991 12  639.1
 1991 11  4338.8
 1991 10  2639.6
 1991 09  4339.6
 1991 08  4239.8
 1991 07  139.8
 1991 06  3439.7
 1991 05  1339.5
 1991 04  2539·1
 1991 03  4439.1
 1991 02  3538·8
 1991 01  8139·0
 1990 12 3039·4
 1990 11 7839.0
 1990 10 6839.4
 1990 09 1540.0
 1990 08 5740.1
 1990 07 3640.1
 1990 06 9640·1
 1990 05 939·6
 1990 04 3138.6
 1990 03 7339·4
 1990 02 539.1
 1990 01 8439.3
 1989 12  439·6
 1989 11  7139·6
 1989 10  939·7
 1989 09  8340·2
 1989 08  4940.3
 1989 07  3840·3
 1989 06  4740.0
 1989 05  7539·9
 1989 04  6939·5
 1989 03  439.4
 1989 02  8039.0
 1989 01  5439.2
 1988 12 8839.5
 1988 11 2638·9
 1988 10 9739.6
 1988 09 4039·8
 1988 08 5640·2
 1988 07 8640·1
 1988 06 1040·0
 1988 05 7639.9
 1988 04 4939·6
 1988 03 9139·4
 1988 02 5838.9
 1988 01 3239.0
 1987 12  6839·5
 1987 11  7238.9
 1987 10  439.3
 1987 09  237.2
 1987 08  3740·1
 1987 07  8640·2
 1987 06  3439.8
 1987 05  539·5
 1987 04  738.3
 1987 03  1439.2
 1987 02  6338.9
 1987 01  8538.9
 1986 12 5439.3
 1986 11 6338.8
 1986 10 2839·2
 1986 09 1239.7
 1986 08 7839.9
 1986 07 6639.7
 1986 06 9239.7
 1986 05 7939·3
 1986 04 439.2
 1986 03 7739·1
 1986 02 4338·5
 1986 01 639·0
 1985 12  8339.0
 1985 11  8038·7
 1985 10  9339.3
 1985 09  3639·7
 1985 08  8939.7
 1985 07  8039·7
 1985 06  8139·7
 1985 05  3939·5
 1985 04  2439.0
 1985 03  1039.1
 1985 02  7038·2
 1985 01  938.7
 1984 12 1438·9
 1984 11 2538·5
 1984 10 4738.8
 1984 09 6639·5
 1984 08 739.6
 1984 07 939.7
 1984 06 2539·5
 1984 05 5239.1
 1984 04 8038·8
 1984 03 6638.6
 1984 02 4338.4
 1984 01 3938·4
 1983 12  3338.6
 1983 11  2937·8
 1983 10  6238.5
 1983 09  1839·0
 1983 08  9139·3
 1983 07  5539.3
 1983 06  7239.1
 1983 05  1138.5
 1983 04  538.2
 1983 03  2538·0
 1983 02  8437.4
 1983 01  6038.0
 1982 12 5038·2
 1982 11 4637·5
 1982 10 3738·0
 1982 09 3638·5
 1982 08 2738·9
 1982 07 5038·9
 1982 06 9438.6
 1982 05 3138·4
 1982 04 6138·0
 1982 03 9238·2
 1982 02 4337·8
 1982 01 6636.7
 1981 12  238.4
 1981 11  5537·9
 1981 10  9538.2
 1981 09  8436.0
 1981 08  2639.4
 1981 07  4639.4
 1981 06  9139.1
 1981 05  5538.7
 1981 04  3337·3
 1981 03  9538·5
 1981 02  9137.9
 1981 01  7238.4
 1980 12 4838·6
 1980 11 6138.1
 1980 10 8438.6
 1980 09 5639.1
 1980 08 2339.4
 1980 07 2339.4
 1980 06 8439·1
 1980 05 4938.7
 1980 04 3238.3
 1980 03 9038·5
 1980 02 2738.3
 1980 01 2138.5
 1979 12  7538·9
 1979 11  9238·6
 1979 10  7739·1
 1979 09  6739.7
 1979 08  7940·0
 1979 07  8640.0
 1979 06  2239·8
 1979 05  539.4
 1979 04  9337·5
 1979 03  5439.0
 1979 02  7438.4
 1979 01  8038·6
 1978 12 9339·1
 1978 11 238·9
 1978 10 7239·1
 1978 09 6039·7
 1978 08 7940·2
 1978 07 6340.1
 1978 06 7839.9
 1978 05 4139·2
 1978 04 7739.0
 1978 03 9338.9
 1978 02 8038.3
 1978 01 4038·1
 1977 12  3738·5
 1977 11  7338·5
 1977 10  9139.0
 1977 09  239.5
 1977 08  3440·0
 1977 07  1040·1
 1977 06  5039.7
 1977 05  9739.4
 1977 04  6938·8
 1977 03  3538·7
 1977 02  1838.5
 1977 01  1837.9
 1976 12 6738·8
 1976 11 638.6
 1976 10 8438·8
 1976 09 8439.4
 1976 08 7939·9
 1976 07 439.9
 1976 06 6139·5
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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 At Work For Civilian Labor Force White: NSA
   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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