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 Series Title: Total At Work in Private Households Industries, Wage and Salary Workers, Worked 1-34 Hours, for Noneconomic Reasons, Usually Work Part Time: NSA
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 2012 04 31261·
 2012 03 4253·
 2012 02 39217.
 2012 01 12198.
 2011 12  26230·
 2011 11  83237·
 2011 10  91277·
 2011 09  84304.
 2011 08  81256·
 2011 07  54263·
 2011 06  37286.
 2011 05  49274.
 2011 04  46246·
 2011 03  99236·
 2011 02  91229.
 2011 01  50183.
 2010 12 98213·
 2010 11 24233.
 2010 10 90176·
 2010 09 57250.
 2010 08 36220.
 2010 07 61222·
 2010 06 98229.
 2010 05 64212·
 2010 04 85252.
 2010 03 67248·
 2010 02 1206·
 2010 01 90246·
 2009 12  96265·
 2009 11  24258.
 2009 10  14218.
 2009 09  79245·
 2009 08  45263·
 2009 07  37305.
 2009 06  74312·
 2009 05  0289.
 2009 04  32256.
 2009 03  39255.
 2009 02  44257·
 2009 01  48278·
 2008 12 82290.
 2008 11 87318·
 2008 10 12304·
 2008 09 41315.
 2008 08 45270.
 2008 07 62328.
 2008 06 90337.
 2008 05 23276.
 2008 04 98281·
 2008 03 70291·
 2008 02 17263·
 2008 01 65287·
 2007 12  40269·
 2007 11  43267·
 2007 10  55273.
 2007 09  60336.
 2007 08  96311.
 2007 07  39297.
 2007 06  93308.
 2007 05  26327·
 2007 04  18305.
 2007 03  38330·
 2007 02  43343·
 2007 01  9309·
 2006 12 81274.
 2006 11 47311.
 2006 10 43304·
 2006 09 77284.
 2006 08 84320·
 2006 07 98373.
 2006 06 56314.
 2006 05 25307·
 2006 04 54314.
 2006 03 47241.
 2006 02 70304.
 2006 01 72340·
 2005 12  40338.
 2005 11  77317·
 2005 10  97355.
 2005 09  61307.
 2005 08  19354.
 2005 07  93318·
 2005 06  77282.
 2005 05  62293·
 2005 04  90245·
 2005 03  28247.
 2005 02  71263.
 2005 01  69290·
 2004 12 79310·
 2004 11 37322·
 2004 10 67293.
 2004 09 2312·
 2004 08 36351.
 2004 07 4320·
 2004 06 79305·
 2004 05 4276.
 2004 04 37261·
 2004 03 33264·
 2004 02 44304·
 2004 01 44333.
 2003 12  82262.
 2003 11  58323.
 2003 10  25334·
 2003 09  17343·
 2003 08  96350.
 2003 07  34377.
 2003 06  11362.
 2003 05  42313.
 2003 04  31318·
 2003 03  44261.
 2003 02  13252.
 2003 01  63276·
 2002 12 60271·
 2002 11 93310.
 2002 10 70301·
 2002 09 48320.
 2002 08 85284·
 2002 07 14287·
 2002 06 45319.
 2002 05 94324·
 2002 04 32320·
 2002 03 63298.
 2002 02 25277·
 2002 01 17261·
 2001 12  49312.
 2001 11  22246.
 2001 10  24271·
 2001 09  63238·
 2001 08  14242.
 2001 07  97272·
 2001 06  79235.
 2001 05  0207.
 2001 04  25245.
 2001 03  20278·
 2001 02  53270.
 2001 01  24238·
 2000 12 10282.
 2000 11 48234.
 2000 10 35230·
 2000 09 52260.
 2000 08 17207.
 2000 07 63254.
 2000 06 37294·
 2000 05 29297.
 2000 04 22312.
 2000 03 70323.
 2000 02 96277.
 2000 01 24326.
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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: Total At Work in Private Households Industries, Wage and Salary Workers, Worked 1-34 Hours, for Noneconomic Reasons, Usually Work Part Time: 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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