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 Series Title: Total At Work in Private Households Industries, Wage and Salary Workers, Worked 1-34 Hours, for Economic Reasons: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 3697.
 2012 03 79106·
 2012 02 9097·
 2012 01 7398·
 2011 12  53118.
 2011 11  61139.
 2011 10  27154·
 2011 09  11138·
 2011 08  56152.
 2011 07  60188.
 2011 06  83120.
 2011 05  67133·
 2011 04  94118.
 2011 03  58174·
 2011 02  71152·
 2011 01  84121.
 2010 12 42101.
 2010 11 62120.
 2010 10 30114.
 2010 09 32102·
 2010 08 2115.
 2010 07 3138·
 2010 06 23126·
 2010 05 5128.
 2010 04 99121.
 2010 03 38150·
 2010 02 36113·
 2010 01 22131.
 2009 12  83152.
 2009 11  48127·
 2009 10  84146·
 2009 09  26113·
 2009 08  29139·
 2009 07  40156·
 2009 06  4156.
 2009 05  89147.
 2009 04  38132.
 2009 03  45177·
 2009 02  58158.
 2009 01  2130·
 2008 12 35133·
 2008 11 2292.
 2008 10 35128.
 2008 09 86112·
 2008 08 71106·
 2008 07 50120.
 2008 06 4885.
 2008 05 8570.
 2008 04 2171·
 2008 03 3660·
 2008 02 3579·
 2008 01 6868·
 2007 12  8584·
 2007 11  1347·
 2007 10  5857.
 2007 09  2895.
 2007 08  8999·
 2007 07  3793.
 2007 06  694.
 2007 05  8686.
 2007 04  8379.
 2007 03  9059.
 2007 02  9090.
 2007 01  8570.
 2006 12 4365·
 2006 11 7780·
 2006 10 5062.
 2006 09 9463.
 2006 08 6863.
 2006 07 3268·
 2006 06 4867·
 2006 05 894·
 2006 04 8567·
 2006 03 1089·
 2006 02 7190.
 2006 01 4573.
 2005 12  4477.
 2005 11  9373·
 2005 10  3462·
 2005 09  51128.
 2005 08  20130.
 2005 07  88120·
 2005 06  73105.
 2005 05  9341·
 2005 04  1350.
 2005 03  2668.
 2005 02  5273·
 2005 01  6658·
 2004 12 4975.
 2004 11 64109·
 2004 10 58102·
 2004 09 90109.
 2004 08 79120.
 2004 07 8491.
 2004 06 565.
 2004 05 864.
 2004 04 7779·
 2004 03 9274·
 2004 02 3094·
 2004 01 8985.
 2003 12  44107·
 2003 11  2098.
 2003 10  9687·
 2003 09  2848·
 2003 08  667.
 2003 07  2590·
 2003 06  9166·
 2003 05  4456·
 2003 04  1263.
 2003 03  8899.
 2003 02  2859·
 2003 01  8189·
 2002 12 3993·
 2002 11 1694·
 2002 10 4481.
 2002 09 739·
 2002 08 87108·
 2002 07 40102.
 2002 06 460.
 2002 05 1847·
 2002 04 8075.
 2002 03 1840·
 2002 02 9473·
 2002 01 3357·
 2001 12  7066.
 2001 11  30101·
 2001 10  2866·
 2001 09  9572·
 2001 08  3265·
 2001 07  8462·
 2001 06  4345·
 2001 05  7346.
 2001 04  6653.
 2001 03  1163·
 2001 02  244·
 2001 01  6342·
 2000 12 9744·
 2000 11 6725·
 2000 10 9360·
 2000 09 8255.
 2000 08 7758.
 2000 07 3566.
 2000 06 3046.
 2000 05 7529.
 2000 04 7947·
 2000 03 2160·
 2000 02 4985.
 2000 01 1238.
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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 Economic Reasons: 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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