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 Series Title: Average Hours At Work For Civilian Labor Force Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 5135·5
 2012 03 135.6
 2012 02 8235.8
 2012 01 9635.6
 2011 12  7235·9
 2011 11  3635·2
 2011 10  2135.6
 2011 09  8835.9
 2011 08  7735.6
 2011 07  8935·5
 2011 06  8135.6
 2011 05  9735·8
 2011 04  1835.8
 2011 03  4035·7
 2011 02  7235.6
 2011 01  6735·0
 2010 12 7035·8
 2010 11 9735.2
 2010 10 3435.5
 2010 09 6835·8
 2010 08 3335·5
 2010 07 9135·6
 2010 06 3035·6
 2010 05 9435·9
 2010 04 3335·8
 2010 03 7835.6
 2010 02 4734.5
 2010 01 6435.6
 2009 12  2035.5
 2009 11  4235.1
 2009 10  9735·2
 2009 09  2233·7
 2009 08  6935·5
 2009 07  8735.4
 2009 06  2035·4
 2009 05  3735.8
 2009 04  8135·5
 2009 03  4635·6
 2009 02  7835.5
 2009 01  435.7
 2008 12 8135·9
 2008 11 7535.6
 2008 10 5836·0
 2008 09 4136.4
 2008 08 2036·2
 2008 07 5636.0
 2008 06 7536.2
 2008 05 9336·3
 2008 04 7336.2
 2008 03 9636·2
 2008 02 6435.9
 2008 01 2936.2
 2007 12  4136·3
 2007 11  2636.3
 2007 10  9036.2
 2007 09  4336.5
 2007 08  4836·3
 2007 07  336·1
 2007 06  4136.1
 2007 05  5336·3
 2007 04  4535·9
 2007 03  936·0
 2007 02  2935·5
 2007 01  536.1
 2006 12 836·4
 2006 11 5036.0
 2006 10 9236.3
 2006 09 6836·7
 2006 08 3636·5
 2006 07 5736·3
 2006 06 9336.1
 2006 05 3536.4
 2006 04 5635.5
 2006 03 8836·1
 2006 02 1936·1
 2006 01 2536.2
 2005 12  1836.1
 2005 11  2435.7
 2005 10  8535·9
 2005 09  8436·4
 2005 08  9736·3
 2005 07  7236.1
 2005 06  2736.1
 2005 05  7936·1
 2005 04  9436.2
 2005 03  6436·1
 2005 02  935.9
 2005 01  535·9
 2004 12 3336.1
 2004 11 5535·5
 2004 10 1935·8
 2004 09 8236.0
 2004 08 6636.0
 2004 07 2835.8
 2004 06 6835·8
 2004 05 5336.1
 2004 04 6735·9
 2004 03 8936.1
 2004 02 9636.0
 2004 01 8836·0
 2003 12  3736·0
 2003 11  7035·6
 2003 10  6535·8
 2003 09  8036.3
 2003 08  236·1
 2003 07  2835.8
 2003 06  6436.0
 2003 05  4936.1
 2003 04  1236.0
 2003 03  4435·9
 2003 02  435.8
 2003 01  3935·8
 2002 12 4235·7
 2002 11 2535·7
 2002 10 2436.1
 2002 09 1936·3
 2002 08 9236.2
 2002 07 336.0
 2002 06 8636·1
 2002 05 8336.2
 2002 04 8936.2
 2002 03 3436.1
 2002 02 7935.8
 2002 01 5036.0
 2001 12  8236·1
 2001 11  9935.7
 2001 10  1635·8
 2001 09  6535.7
 2001 08  4736.3
 2001 07  636.3
 2001 06  3436.6
 2001 05  9736·4
 2001 04  8435.6
 2001 03  8636.3
 2001 02  9736·0
 2001 01  3936·2
 2000 12 1836.3
 2000 11 9536.4
 2000 10 9136·1
 2000 09 1236.7
 2000 08 136.6
 2000 07 1636.6
 2000 06 3136·5
 2000 05 5836.6
 2000 04 736.5
 2000 03 5536·4
 2000 02 5336·4
 2000 01 4836.1
 1993 12  3736.2
 1993 11  4435·4
 1993 10  2135.9
 1993 09  7536.3
 1993 08  1636.3
 1993 07  3936.2
 1993 06  2336.1
 1993 05  5836·1
 1993 04  9435.9
 1993 03  2235·9
 1993 02  7235.7
 1993 01  4235.8
 1992 12 4735.9
 1992 11 9935·4
 1992 10 535·6
 1992 09 9633.3
 1992 08 7636.2
 1992 07 336.2
 1992 06 8636.1
 1992 05 1336·0
 1992 04 635.0
 1992 03 9036·0
 1992 02 235·7
 1992 01 1435·8
 1991 12  8635.8
 1991 11  4035.2
 1991 10  6635.9
 1991 09  4235·9
 1991 08  9336.2
 1991 07  6336.0
 1991 06  1636.0
 1991 05  6635·9
 1991 04  2735·6
 1991 03  8735.7
 1991 02  1535·4
 1991 01  8135.7
 1990 12 1335.9
 1990 11 7235·4
 1990 10 5135·6
 1990 09 536·0
 1990 08 236·3
 1990 07 9736.3
 1990 06 3636.2
 1990 05 8336·0
 1990 04 6935·0
 1990 03 7035·9
 1990 02 1035.6
 1990 01 8435.9
 1989 12  1436·0
 1989 11  2235.9
 1989 10  3335·6
 1989 09  236·2
 1989 08  6336·3
 1989 07  1136·2
 1989 06  9636·0
 1989 05  5636.0
 1989 04  6735.6
 1989 03  1635·6
 1989 02  935·3
 1989 01  9035.6
 1988 12 035·7
 1988 11 4735.0
 1988 10 1235.6
 1988 09 7435.9
 1988 08 6336·3
 1988 07 3336·2
 1988 06 6636·0
 1988 05 235.9
 1988 04 8135.7
 1988 03 3135.6
 1988 02 6135.3
 1988 01 9235·4
 1987 12  535·8
 1987 11  2435.0
 1987 10  935·2
 1987 09  8933.4
 1987 08  1136.2
 1987 07  1736·2
 1987 06  4735·8
 1987 05  6235·5
 1987 04  9834·6
 1987 03  4335·4
 1987 02  3935.2
 1987 01  535·4
 1986 12 9235·6
 1986 11 5934·8
 1986 10 7335.0
 1986 09 3735·7
 1986 08 4336.0
 1986 07 4435.8
 1986 06 6135.6
 1986 05 335.4
 1986 04 2735.3
 1986 03 835.3
 1986 02 4134.7
 1986 01 7235·2
 1985 12  4435·2
 1985 11  8034·8
 1985 10  7635·3
 1985 09  3735.6
 1985 08  2035·8
 1985 07  1835.6
 1985 06  5535.5
 1985 05  1835·3
 1985 04  534·9
 1985 03  335·1
 1985 02  8934·2
 1985 01  5935.0
 1984 12 7435.0
 1984 11 4234·5
 1984 10 1834·7
 1984 09 2935·3
 1984 08 2735·5
 1984 07 6735.3
 1984 06 335·2
 1984 05 2234·9
 1984 04 9134.7
 1984 03 3334.7
 1984 02 3334.6
 1984 01 5834·6
 1983 12  1534.7
 1983 11  2433·8
 1983 10  2034·4
 1983 09  8034·8
 1983 08  7535.1
 1983 07  4535·1
 1983 06  334.8
 1983 05  5834·4
 1983 04  7234·4
 1983 03  2934·2
 1983 02  4433·7
 1983 01  8634·1
 1982 12 3034.3
 1982 11 3133.4
 1982 10 3233.9
 1982 09 8334.4
 1982 08 034.9
 1982 07 3434.8
 1982 06 7834.6
 1982 05 9334.4
 1982 04 5734·0
 1982 03 4334·2
 1982 02 2233·9
 1982 01 8532.3
 1981 12  234·4
 1981 11  9233·7
 1981 10  2534.0
 1981 09  5432·0
 1981 08  6135.3
 1981 07  3535.2
 1981 06  7634.9
 1981 05  1834.5
 1981 04  8333.2
 1981 03  5634·4
 1981 02  8833.8
 1981 01  2234.3
 1980 12 4434·6
 1980 11 6033·8
 1980 10 9934·2
 1980 09 3534.8
 1980 08 4535.3
 1980 07 8035.1
 1980 06 7034·8
 1980 05 5034·4
 1980 04 1034·2
 1980 03 7134.4
 1980 02 9234·2
 1980 01 8834.5
 1979 12  9034.6
 1979 11  1634·2
 1979 10  7534·5
 1979 09  9235·0
 1979 08  6135·3
 1979 07  2235.3
 1979 06  5934.9
 1979 05  3134·6
 1979 04  2333·1
 1979 03  1934·4
 1979 02  533·8
 1979 01  034·2
 1978 12 134.7
 1978 11 6434·5
 1978 10 334.2
 1978 09 1835·0
 1978 08 4635.4
 1978 07 4035·2
 1978 06 6434·9
 1978 05 2834·4
 1978 04 3434·2
 1978 03 5234.3
 1978 02 2733·7
 1978 01 133·6
 1977 12  6334·0
 1977 11  3333.6
 1977 10  5534·1
 1977 09  2934·8
 1977 08  6135.4
 1977 07  3935.2
 1977 06  3534.7
 1977 05  3334.4
 1977 04  7734·0
 1977 03  5133·9
 1977 02  8033·8
 1977 01  5633.3
 1976 12 8634.3
 1976 11 7733.8
 1976 10 2933·9
 1976 09 6734·7
 1976 08 9035·1
 1976 07 4834·9
 1976 06 4434.4
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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

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      Example 2: Get Employment Data for Workers in the "Retail Trade" Industry







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 Series Title: Average Hours At Work For Civilian Labor Force Women: 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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