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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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 2012 04 68409·
 2012 03 71384.
 2012 02 1345.
 2012 01 52326.
 2011 12  47364·
 2011 11  8421·
 2011 10  59478.
 2011 09  55489.
 2011 08  31452.
 2011 07  80493·
 2011 06  55427.
 2011 05  93460.
 2011 04  69401·
 2011 03  71436·
 2011 02  3406·
 2011 01  12343.
 2010 12 36332·
 2010 11 85388·
 2010 10 40312.
 2010 09 80371.
 2010 08 33372·
 2010 07 56402.
 2010 06 29395·
 2010 05 92380·
 2010 04 86400·
 2010 03 39440.
 2010 02 58370·
 2010 01 66406·
 2009 12  45467·
 2009 11  16427.
 2009 10  40396·
 2009 09  48441.
 2009 08  85465·
 2009 07  94482.
 2009 06  13507·
 2009 05  5469.
 2009 04  6418·
 2009 03  4459.
 2009 02  39447.
 2009 01  33456.
 2008 12 34465·
 2008 11 3466·
 2008 10 7480·
 2008 09 49464·
 2008 08 20412·
 2008 07 74483·
 2008 06 30465·
 2008 05 0374·
 2008 04 38401·
 2008 03 21388·
 2008 02 44382·
 2008 01 52396·
 2007 12  90401.
 2007 11  78358.
 2007 10  14378·
 2007 09  2457·
 2007 08  0440·
 2007 07  0433.
 2007 06  27440·
 2007 05  67445·
 2007 04  19430·
 2007 03  70434.
 2007 02  96482.
 2007 01  93435·
 2006 12 22377.
 2006 11 93413·
 2006 10 59423.
 2006 09 47387.
 2006 08 10435·
 2006 07 2496.
 2006 06 78425·
 2006 05 25430·
 2006 04 9446·
 2006 03 53395.
 2006 02 43452·
 2006 01 45453·
 2005 12  67461.
 2005 11  28433.
 2005 10  64467.
 2005 09  52484.
 2005 08  62540.
 2005 07  34487.
 2005 06  82426·
 2005 05  14389·
 2005 04  92321.
 2005 03  2350·
 2005 02  57374.
 2005 01  27389·
 2004 12 85433·
 2004 11 88456·
 2004 10 79445.
 2004 09 8452.
 2004 08 89514.
 2004 07 75452.
 2004 06 60420·
 2004 05 2377·
 2004 04 81385·
 2004 03 69378·
 2004 02 38442.
 2004 01 79445.
 2003 12  61395.
 2003 11  2465·
 2003 10  75456·
 2003 09  32443.
 2003 08  53472·
 2003 07  30500·
 2003 06  61487.
 2003 05  80403.
 2003 04  10405·
 2003 03  35380·
 2003 02  7340.
 2003 01  69389·
 2002 12 5380·
 2002 11 24443·
 2002 10 52452.
 2002 09 66402.
 2002 08 40412.
 2002 07 28427·
 2002 06 58419.
 2002 05 66382·
 2002 04 40417·
 2002 03 4358·
 2002 02 14380·
 2002 01 88362·
 2001 12  55420·
 2001 11  33381·
 2001 10  32381·
 2001 09  76367.
 2001 08  60333.
 2001 07  23347.
 2001 06  50325.
 2001 05  0284·
 2001 04  56342·
 2001 03  4377.
 2001 02  31338.
 2001 01  53298.
 2000 12 69345·
 2000 11 34287.
 2000 10 63328·
 2000 09 55342.
 2000 08 48285·
 2000 07 94360·
 2000 06 58371·
 2000 05 50374·
 2000 04 70402.
 2000 03 91402.
 2000 02 56405·
 2000 01 6404·
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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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