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 Series Title: Employment Level: Private Wage and Salary Workers in Other Services, Except Private Households Industry: NSA
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 2012 04 855297·
 2012 03 455353.
 2012 02 265425.
 2012 01 235281·
 2011 12  565155·
 2011 11  495160·
 2011 10  265026.
 2011 09  425121.
 2011 08  325141·
 2011 07  895038·
 2011 06  655034.
 2011 05  985014·
 2011 04  624909.
 2011 03  474896·
 2011 02  554889.
 2011 01  344735.
 2010 12 225096·
 2010 11 285105·
 2010 10 345168·
 2010 09 195170·
 2010 08 115204.
 2010 07 665217.
 2010 06 665030.
 2010 05 484934.
 2010 04 564917·
 2010 03 164916·
 2010 02 374840.
 2010 01 404828·
 2009 12  75022.
 2009 11  604896.
 2009 10  615117·
 2009 09  385226·
 2009 08  395060·
 2009 07  55174·
 2009 06  765137·
 2009 05  135059.
 2009 04  535147·
 2009 03  835146·
 2009 02  455005.
 2009 01  584918.
 2008 12 734857.
 2008 11 504887.
 2008 10 555114.
 2008 09 925281.
 2008 08 515382.
 2008 07 875492·
 2008 06 195260·
 2008 05 595266·
 2008 04 625201·
 2008 03 25086·
 2008 02 765019.
 2008 01 295003.
 2007 12  54984.
 2007 11  265169.
 2007 10  885104.
 2007 09  965111·
 2007 08  85150·
 2007 07  155279.
 2007 06  435299·
 2007 05  785195·
 2007 04  195110.
 2007 03  524968.
 2007 02  544845.
 2007 01  214808.
 2006 12 144803.
 2006 11 425029.
 2006 10 595138.
 2006 09 935126.
 2006 08 955203·
 2006 07 195267·
 2006 06 215121·
 2006 05 885199.
 2006 04 855360.
 2006 03 375247·
 2006 02 275298.
 2006 01 255167·
 2005 12  365134·
 2005 11  795067.
 2005 10  915212·
 2005 09  495067.
 2005 08  225149.
 2005 07  525313·
 2005 06  515221.
 2005 05  295278.
 2005 04  455105.
 2005 03  875061·
 2005 02  694990·
 2005 01  585010.
 2004 12 305292·
 2004 11 415065.
 2004 10 335164.
 2004 09 565005·
 2004 08 264873.
 2004 07 954959·
 2004 06 564879.
 2004 05 685087·
 2004 04 105088.
 2004 03 565104.
 2004 02 765093.
 2004 01 624967.
 2003 12  825081.
 2003 11  565025.
 2003 10  565083·
 2003 09  325017.
 2003 08  674881·
 2003 07  514807.
 2003 06  834871·
 2003 05  984831.
 2003 04  164940.
 2003 03  245000.
 2003 02  724847·
 2003 01  34784·
 2002 12 44805·
 2002 11 804694·
 2002 10 594855.
 2002 09 174868·
 2002 08 314730·
 2002 07 514960·
 2002 06 74920·
 2002 05 354766·
 2002 04 224770·
 2002 03 944661·
 2002 02 54949·
 2002 01 744941·
 2001 12  295034·
 2001 11  904985·
 2001 10  654853·
 2001 09  794694.
 2001 08  274505·
 2001 07  474621.
 2001 06  254452.
 2001 05  204593.
 2001 04  164904·
 2001 03  964964.
 2001 02  484930·
 2001 01  914941·
 2000 12 204986·
 2000 11 934893·
 2000 10 234820.
 2000 09 104569.
 2000 08 924578.
 2000 07 204613.
 2000 06 604685·
 2000 05 224701.
 2000 04 64720.
 2000 03 844720·
 2000 02 04689·
 2000 01 964498·
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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: Employment Level: Private Wage and Salary Workers in Other Services, Except Private Households Industry: 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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