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 Series Title: Persons At Work in Private Households Industries, Wage and Salary Workers, Worked 1-34 Hours: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 56404·
 2000 02 35405·
 2000 03 49402·
 2000 04 85402·
 2000 05 60374.
 2000 06 89371.
 2000 07 91360·
 2000 08 14285·
 2000 09 87342·
 2000 10 98328.
 2000 11 91287·
 2000 12 98345.
 2001 01  88298·
 2001 02  42338.
 2001 03  60377.
 2001 04  80342.
 2001 05  36284·
 2001 06  30325·
 2001 07  38347.
 2001 08  31333.
 2001 09  33367·
 2001 10  93381.
 2001 11  86381.
 2001 12  45420·
 2002 01 5362·
 2002 02 87380.
 2002 03 93358·
 2002 04 39417·
 2002 05 1382·
 2002 06 93419·
 2002 07 72427·
 2002 08 60412·
 2002 09 97402.
 2002 10 20452.
 2002 11 60443·
 2002 12 75380·
 2003 01  93389.
 2003 02  97340·
 2003 03  21380.
 2003 04  79405·
 2003 05  15403.
 2003 06  82487·
 2003 07  42500.
 2003 08  91472·
 2003 09  13443.
 2003 10  57456·
 2003 11  36465·
 2003 12  55395·
 2004 01 63445.
 2004 02 28442.
 2004 03 41378.
 2004 04 40385·
 2004 05 64377.
 2004 06 27420·
 2004 07 20452·
 2004 08 41514.
 2004 09 43452·
 2004 10 10445.
 2004 11 61456.
 2004 12 77433·
 2005 01  49389·
 2005 02  59374·
 2005 03  77350.
 2005 04  91321.
 2005 05  59389.
 2005 06  81426·
 2005 07  5487·
 2005 08  54540.
 2005 09  72484.
 2005 10  7467·
 2005 11  9433·
 2005 12  58461·
 2006 01 13453·
 2006 02 94452·
 2006 03 76395·
 2006 04 23446·
 2006 05 34430·
 2006 06 24425·
 2006 07 20496·
 2006 08 94435·
 2006 09 10387·
 2006 10 3423·
 2006 11 78413·
 2006 12 39377.
 2007 01  41435.
 2007 02  62482.
 2007 03  12434.
 2007 04  53430.
 2007 05  52445.
 2007 06  60440·
 2007 07  12433.
 2007 08  54440.
 2007 09  93457.
 2007 10  76378.
 2007 11  90358.
 2007 12  88401·
 2008 01 41396.
 2008 02 19382.
 2008 03 83388.
 2008 04 22401.
 2008 05 96374.
 2008 06 19465.
 2008 07 55483·
 2008 08 51412.
 2008 09 83464.
 2008 10 33480·
 2008 11 94466·
 2008 12 95465·
 2009 01  51456.
 2009 02  42447·
 2009 03  12459·
 2009 04  97418·
 2009 05  78469.
 2009 06  54507.
 2009 07  47482.
 2009 08  27465·
 2009 09  63441·
 2009 10  0396·
 2009 11  63427.
 2009 12  79467·
 2010 01 31406.
 2010 02 37370·
 2010 03 47440·
 2010 04 71400·
 2010 05 33380.
 2010 06 46395·
 2010 07 11402·
 2010 08 48372.
 2010 09 45371·
 2010 10 34312.
 2010 11 95388.
 2010 12 80332·
 2011 01  66343·
 2011 02  32406.
 2011 03  60436·
 2011 04  59401·
 2011 05  22460·
 2011 06  98427·
 2011 07  95493·
 2011 08  6452·
 2011 09  64489·
 2011 10  13478.
 2011 11  12421·
 2011 12  65364·
 2012 01 67326·


 2012 02 83345·
 2012 03 50384.
 2012 04 5409.
 2012 05 31511·
 2012 06 40515.
 2012 07 72476.
 2012 08 19438.
 2012 09 81434.
 2012 10 41356.
 2012 11 64392.
 2012 12 27357.
 2013 01  69406.
 2013 02  67388.
 2013 03  41352·
 2013 04  73337·
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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: Persons At Work in Private Households Industries, Wage and Salary Workers, Worked 1-34 Hours: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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