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 Series Title: Persons At Work in Private Households Industries, Wage and Salary Workers: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 57707.
 2012 03 37628.
 2012 02 0599.
 2012 01 33562.
 2011 12  42628.
 2011 11  37660.
 2011 10  32753·
 2011 09  68741·
 2011 08  67740.
 2011 07  11782.
 2011 06  39736.
 2011 05  76774·
 2011 04  84650·
 2011 03  40678.
 2011 02  35655.
 2011 01  2583.
 2010 12 69608·
 2010 11 31629·
 2010 10 58554.
 2010 09 16586.
 2010 08 21649·
 2010 07 16661·
 2010 06 70683.
 2010 05 10672·
 2010 04 66692.
 2010 03 50705·
 2010 02 60623.
 2010 01 5671.
 2009 12  54714.
 2009 11  16743·
 2009 10  40670.
 2009 09  44757.
 2009 08  60816.
 2009 07  20861·
 2009 06  49888.
 2009 05  96765·
 2009 04  86698·
 2009 03  94719·
 2009 02  48692·
 2009 01  56716·
 2008 12 57757.
 2008 11 95822·
 2008 10 27810.
 2008 09 43798.
 2008 08 22766·
 2008 07 4840.
 2008 06 98828.
 2008 05 1741·
 2008 04 57757·
 2008 03 28708·
 2008 02 98747·
 2008 01 99756.
 2007 12  63794.
 2007 11  99735.
 2007 10  91740·
 2007 09  31811·
 2007 08  65767.
 2007 07  72800·
 2007 06  65814·
 2007 05  17772.
 2007 04  14793.
 2007 03  31835·
 2007 02  32826.
 2007 01  0718.
 2006 12 84706.
 2006 11 80719.
 2006 10 31734.
 2006 09 49757·
 2006 08 77828.
 2006 07 53879.
 2006 06 23792·
 2006 05 60781·
 2006 04 17796·
 2006 03 6743·
 2006 02 98791·
 2006 01 50800·
 2005 12  55766.
 2005 11  20711·
 2005 10  68791·
 2005 09  64824.
 2005 08  66906.
 2005 07  2884·
 2005 06  71813.
 2005 05  72691·
 2005 04  51727.
 2005 03  84734·
 2005 02  70740·
 2005 01  67769.
 2004 12 36762.
 2004 11 22763.
 2004 10 53712·
 2004 09 68765.
 2004 08 70814.
 2004 07 97777·
 2004 06 32774.
 2004 05 20669.
 2004 04 29682.
 2004 03 18745·
 2004 02 45774·
 2004 01 92793.
 2003 12  13758.
 2003 11  14760·
 2003 10  56743.
 2003 09  78766·
 2003 08  48826·
 2003 07  44868.
 2003 06  53814.
 2003 05  96699.
 2003 04  84694.
 2003 03  88639.
 2003 02  47617·
 2003 01  92662·
 2002 12 96703·
 2002 11 53776·
 2002 10 78755·
 2002 09 34728.
 2002 08 85723.
 2002 07 71733·
 2002 06 7748.
 2002 05 17667.
 2002 04 77715·
 2002 03 98703·
 2002 02 24708·
 2002 01 59730.
 2001 12  21817.
 2001 11  16784·
 2001 10  40752.
 2001 09  5675·
 2001 08  94630.
 2001 07  32670·
 2001 06  93632.
 2001 05  24582·
 2001 04  94615·
 2001 03  77683·
 2001 02  48607.
 2001 01  10589·
 2000 12 49666·
 2000 11 9589·
 2000 10 90632.
 2000 09 82613·
 2000 08 8564.
 2000 07 7656·
 2000 06 34738.
 2000 05 84714.
 2000 04 46752·
 2000 03 81797·
 2000 02 17775.
 2000 01 86750·
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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: 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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