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 Series Title: Total employed government wage and salary workers in Professional and business services: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 2412.
 2012 03 95415.
 2012 02 56408·
 2012 01 88442·
 2011 12  19450.
 2011 11  77439·
 2011 10  92400·
 2011 09  27386·
 2011 08  21423.
 2011 07  76365.
 2011 06  48363.
 2011 05  82370·
 2011 04  59396·
 2011 03  74457.
 2011 02  37471·
 2011 01  0423·
 2010 12 8385.
 2010 11 78427.
 2010 10 96399.
 2010 09 48420·
 2010 08 68443·
 2010 07 19389·
 2010 06 88389·
 2010 05 20431.
 2010 04 65409.
 2010 03 53437.
 2010 02 2384·
 2010 01 37399·
 2009 12  48405.
 2009 11  63381.
 2009 10  49471·
 2009 09  42473.
 2009 08  95458·
 2009 07  55498·
 2009 06  69460·
 2009 05  4419·
 2009 04  4413.
 2009 03  61356·
 2009 02  24360·
 2009 01  18342.
 2008 12 1336.
 2008 11 37380·
 2008 10 1385.
 2008 09 2407.
 2008 08 37433·
 2008 07 65370.
 2008 06 14405.
 2008 05 1430·
 2008 04 86415·
 2008 03 52388·
 2008 02 1392.
 2008 01 83359·
 2007 12  50403.
 2007 11  29374·
 2007 10  24402·
 2007 09  44440·
 2007 08  54434·
 2007 07  53451·
 2007 06  71397.
 2007 05  2423.
 2007 04  48382.
 2007 03  5382.
 2007 02  56360.
 2007 01  0382.
 2006 12 8420·
 2006 11 93386·
 2006 10 16405.
 2006 09 10398·
 2006 08 34334.
 2006 07 47364·
 2006 06 13406·
 2006 05 24367·
 2006 04 51388·
 2006 03 25411·
 2006 02 37404·
 2006 01 61420·
 2005 12  9415.
 2005 11  8404·
 2005 10  0402.
 2005 09  66395.
 2005 08  85393·
 2005 07  3427·
 2005 06  39427.
 2005 05  8425·
 2005 04  78414·
 2005 03  41393.
 2005 02  18387·
 2005 01  82344.
 2004 12 15391.
 2004 11 80376·
 2004 10 24402·
 2004 09 5422·
 2004 08 44378.
 2004 07 99333·
 2004 06 70330·
 2004 05 23259.
 2004 04 42298.
 2004 03 8290.
 2004 02 95305·
 2004 01 5310.
 2003 12  10348·
 2003 11  36338·
 2003 10  61329·
 2003 09  44397·
 2003 08  71420·
 2003 07  41424·
 2003 06  56383.
 2003 05  59315·
 2003 04  78355·
 2003 03  4351·
 2003 02  93401·
 2003 01  96416.
 2002 12 5352.
 2002 11 31308.
 2002 10 10311.
 2002 09 23311.
 2002 08 52325.
 2002 07 56350·
 2002 06 70311·
 2002 05 34328.
 2002 04 46291·
 2002 03 33323.
 2002 02 60332·
 2002 01 49328.
 2001 12  36332·
 2001 11  46310.
 2001 10  93287.
 2001 09  10315.
 2001 08  97309·
 2001 07  99213.
 2001 06  8213·
 2001 05  89218.
 2001 04  31238.
 2001 03  26250·
 2001 02  67303.
 2001 01  78305.
 2000 12 63301.
 2000 11 83337·
 2000 10 59298·
 2000 09 97310·
 2000 08 42299·
 2000 07 51284.
 2000 06 95228.
 2000 05 91222.
 2000 04 45254·
 2000 03 36283·
 2000 02 15301.
 2000 01 27293.
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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 employed government wage and salary workers in Professional and business services: 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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