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 Series Title: Average Hours, At Work, Unpaid Family Workers: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 870·0
 2012 03 8436.5
 2012 02 3132.0
 2012 01 9932·0
 2011 12  8332·0
 2011 07  8136.1
 2011 06  9433.4
 2011 05  4933·4
 2011 04  5831·7
 2011 03  9034.1
 2011 02  6932·4
 2011 01  1134.7
 2010 12 6333·2
 2010 11 9034·8
 2010 10 7230.6
 2010 09 2733.0
 2010 08 7232.3
 2010 07 9029·5
 2010 06 3833·7
 2010 05 6938·1
 2010 04 8634·5
 2010 03 2136·2
 2010 02 3132·0
 2010 01 2829·9
 2009 12  3129·0
 2009 11  4030·5
 2009 10  4031.6
 2009 09  2633·8
 2009 08  5633·4
 2009 07  2730·5
 2009 06  7633.4
 2009 05  530.6
 2009 04  3826.5
 2009 03  9128·1
 2009 02  7824.7
 2009 01  3634·6
 2008 12 7629.4
 2008 11 6232.8
 2008 10 937·1
 2008 09 1138·4
 2008 08 9634.3
 2008 07 9732·8
 2008 06 5629.9
 2008 05 5132.9
 2008 04 4932·1
 2008 03 7834·4
 2008 02 3234·1
 2008 01 034·3
 2007 12  932·4
 2007 11  1134.4
 2007 10  7634·4
 2007 09  2534·1
 2007 08  7733·8
 2007 07  2836.3
 2007 06  5034.1
 2007 05  2329·9
 2007 04  7930·3
 2007 03  8632·4
 2007 02  4332.8
 2007 01  1133.8
 2006 12 6538·2
 2006 11 6632·3
 2006 10 6634·9
 2006 09 3531·6
 2006 08 1038·8
 2006 07 7531.9
 2006 06 5828.8
 2006 05 6227.5
 2006 04 1530.0
 2006 03 4431·6
 2006 02 8231.1
 2006 01 8833·7
 2005 12  534·6
 2005 11  3134·0
 2005 10  2533.0
 2005 09  3135.1
 2005 08  3036·6
 2005 07  1728.4
 2005 06  127.9
 2005 05  3629.7
 2005 04  6630.8
 2005 03  831·4
 2005 02  4830·4
 2005 01  7233·5
 2004 12 1433.0
 2004 11 3635·6
 2004 10 2827·3
 2004 09 3232·9
 2004 08 9834.1
 2004 07 5835.1
 2004 06 2928.7
 2004 05 3630.8
 2004 04 6930.5
 2004 03 5626·7
 2004 02 6432·6
 2004 01 2930.9
 2003 12  329.2
 2003 11  3628·3
 2003 10  7128.7
 2003 09  7832.7
 2003 08  9934.3
 2003 07  2930.9
 2003 06  1330·9
 2003 05  7930.9
 2003 04  8434·6
 2003 03  9234.8
 2003 02  7836.0
 2003 01  5128.2
 2002 12 733·2
 2002 11 830.5
 2002 10 7931·1
 2002 09 3732.1
 2002 08 4527·7
 2002 07 8231.3
 2002 06 5327.4
 2002 05 731·7
 2002 04 9634.0
 2002 03 4733·7
 2002 02 6333.4
 2002 01 5531·6
 2001 12  8831·1
 2001 11  5830·8
 2001 10  9828·5
 2001 09  129·5
 2001 08  6928.1
 2001 07  9830·4
 2001 06  7030.5
 2001 05  8725.0
 2001 04  1726.5
 2001 03  7333·6
 2001 02  1832·3
 2001 01  8432·8
 2000 12 3034.5
 2000 11 1532.2
 2000 10 332.9
 2000 09 8532·6
 2000 08 3432·9
 2000 07 8134.1
 2000 06 1433.8
 2000 05 1032·8
 2000 04 8030·5
 2000 03 5132·3
 2000 02 6430·6
 2000 01 330.2
 1999 12  4431·9
 1999 11  3429.6
 1999 10  9135.2
 1999 09  3231·8
 1999 08  2430.3
 1999 07  5935.4
 1999 06  5735·9
 1999 05  9339·3
 1999 04  4840.0
 1999 03  8536·9
 1999 02  5130.3
 1999 01  429.7
 1998 12 6532·3
 1998 11 9232·3
 1998 10 8531·2
 1998 09 1029.8
 1998 08 5129·9
 1998 07 8832·2
 1998 06 9736.0
 1998 05 7939·5
 1998 04 637·5
 1998 03 440·2
 1998 02 5131.9
 1998 01 533·0
 1997 12  5533.9
 1997 11  9633.8
 1997 10  3331.6
 1997 09  830.2
 1997 08  4934·2
 1997 07  4631.6
 1997 06  5829.3
 1997 05  3330·8
 1997 04  6336·9
 1997 03  6235.8
 1997 02  6233·6
 1997 01  4730.8
 1996 12 9834·5
 1996 11 7433.8
 1996 10 936.5
 1996 09 4633.5
 1996 08 7937·0
 1996 07 3934.6
 1996 06 8732.0
 1996 05 4833·7
 1996 04 5736.4
 1996 03 3830.4
 1996 02 834.5
 1996 01 9731.4
 1995 12  634.2
 1995 11  8033·4
 1995 10  1034·3
 1995 09  6333·7
 1995 08  2730.2
 1995 07  9431.3
 1995 06  5731.9
 1995 05  4031·1
 1995 04  4634·5
 1995 03  3833.6
 1995 02  3637·6
 1995 01  4636·9
 1994 12 1335·5
 1994 11 9334.5
 1994 10 6034·9
 1994 09 2737.0
 1994 08 335·4
 1994 07 6733.9
 1994 06 6732.0
 1994 05 5132.3
 1994 04 1832.1
 1994 03 9029.3
 1994 02 1931·7
 1994 01 1234·9
 1993 12  8134.0
 1993 11  1933.3
 1993 10  636·1
 1993 09  3032.4
 1993 08  4437.0
 1993 07  3631.7
 1993 06  3933·4
 1993 05  4935·8
 1993 04  8135.2
 1993 03  4834.2
 1993 02  5631·3
 1993 01  3735·4
 1992 12 9435·2
 1992 11 8633.3
 1992 10 2133.6
 1992 09 8935.4
 1992 08 835.9
 1992 07 736.4
 1992 06 2236.3
 1992 05 2432.8
 1992 04 7333·4
 1992 03 9233.9
 1992 02 7035·9
 1992 01 8632.5
 1991 12  6433·8
 1991 11  4936.6
 1991 10  437.5
 1991 09  4534.0
 1991 08  8333.5
 1991 07  838·7
 1991 06  8836·2
 1991 05  9435·6
 1991 04  5334.2
 1991 03  2734.2
 1991 02  835.9
 1991 01  5235·0
 1990 12 2634.5
 1990 11 8635·0
 1990 10 7833.8
 1990 09 6531·9
 1990 08 7833.8
 1990 07 9435·2
 1990 06 3634.1
 1990 05 034·3
 1990 04 735·5
 1990 03 8035·1
 1990 02 4433·2
 1990 01 5231.3
 1989 12  4134·8
 1989 11  331.6
 1989 10  9033.1
 1989 09  4131·7
 1989 08  2936·0
 1989 07  4334.9
 1989 06  8837.0
 1989 05  937.3
 1989 04  4637.3
 1989 03  837·4
 1989 02  7535.2
 1989 01  2833·1
 1988 12 9436·0
 1988 11 2833·5
 1988 10 1433.2
 1988 09 8936·2
 1988 08 9638.5
 1988 07 6138.8
 1988 06 9436·4
 1988 05 1435.3
 1988 04 538.8
 1988 03 8835·2
 1988 02 2534·5
 1988 01 4534.6
 1987 12  9536.7
 1987 11  1636·2
 1987 10  4835·2
 1987 09  5335·7
 1987 08  6636·8
 1987 07  7737·4
 1987 06  2537·8
 1987 05  3035.5
 1987 04  4534·8
 1987 03  2635·1
 1987 02  4236.8
 1987 01  9737.6
 1986 12 8037·4
 1986 11 4635·4
 1986 10 1535.1
 1986 09 9735·8
 1986 08 4935.6
 1986 07 4432·9
 1986 06 7933·3
 1986 05 038.8
 1986 04 5036·6
 1986 03 5035·6
 1986 02 9935.7
 1986 01 034·3
 1985 12  1035.7
 1985 11  2335.1
 1985 10  6236·1
 1985 09  1535.7
 1985 08  7937.1
 1985 07  4236·8
 1985 06  8133.8
 1985 05  9034·6
 1985 04  3334.8
 1985 03  1634.3
 1985 02  9434.1
 1985 01  9533·8
 1984 12 7133·8
 1984 11 7534·4
 1984 10 6334.1
 1984 09 2337·2
 1984 08 1938.2
 1984 07 7635.4
 1984 06 7834.6
 1984 05 9334.1
 1984 04 2734.0
 1984 03 135.5
 1984 02 4935·3
 1984 01 4934.9
 1983 12  7235·9
 1983 11  5733.4
 1983 10  1734·0
 1983 09  6233.9
 1983 08  5237.6
 1983 07  7535.5
 1983 06  4234·2
 1983 05  2433·5
 1983 04  9534.0
 1983 03  1134.9
 1983 02  1436.2
 1983 01  5534·7
 1982 12 4935.9
 1982 11 4833.2
 1982 10 4533·2
 1982 09 033·4
 1982 08 9134.8
 1982 07 9236·1
 1982 06 7335.7
 1982 05 2635·8
 1982 04 2134.1
 1982 03 7534·1
 1982 02 6134.3
 1982 01 2935.1
 1981 12  6435.7
 1981 11  5333·4
 1981 10  9634.5
 1981 09  2833·6
 1981 08  7038·0
 1981 07  836·6
 1981 06  9235·7
 1981 05  6637·9
 1981 04  1638.2
 1981 03  4736.0
 1981 02  8735.7
 1981 01  1334·6
 1980 12 034·5
 1980 11 134·7
 1980 10 4334·1
 1980 09 6333·4
 1980 08 5035·7
 1980 07 2635·7
 1980 06 4934·7
 1980 05 3535.7
 1980 04 1534.8
 1980 03 635·1
 1980 02 1733.2
 1980 01 7433.8
 1979 12  7033.6
 1979 11  4534.3
 1979 10  8535.7
 1979 09  4738.2
 1979 08  1736.8
 1979 07  7737·7
 1979 06  1636·4
 1979 05  5136.6
 1979 04  7936.1
 1979 03  5734.2
 1979 02  9836·4
 1979 01  335·1
 1978 12 937.2
 1978 11 6735.4
 1978 10 4437·3
 1978 09 4737·8
 1978 08 8038.6
 1978 07 1337.2
 1978 06 9138·3
 1978 05 5437.3
 1978 04 9435·6
 1978 03 2935.6
 1978 02 336.9
 1978 01 1734.2
 1977 12  7635·0
 1977 11  6936·1
 1977 10  6736·1
 1977 09  5537·7
 1977 08  7638.3
 1977 07  1637.7
 1977 06  9737·6
 1977 05  1238.0
 1977 04  7038·4
 1977 03  7637·5
 1977 02  3036·0
 1977 01  5838.2
 1976 12 5835.5
 1976 11 8134·8
 1976 10 2935·0
 1976 09 8635·6
 1976 08 6537.7
 1976 07 8738·0
 1976 06 8337·4
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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, Unpaid Family Workers: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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