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 Series Title: Men, employed government wage and salary workers in Professional and technical services: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 94144·
 2012 03 52132·
 2012 02 82135·
 2012 01 35146.
 2011 12  91174·
 2011 11  26169·
 2011 10  22157·
 2011 09  90149.
 2011 08  22170.
 2011 07  66151·
 2011 06  32128.
 2011 05  12134·
 2011 04  39142.
 2011 03  56148.
 2011 02  24164·
 2011 01  46157.
 2010 12 16148.
 2010 11 1138·
 2010 10 37143.
 2010 09 60149·
 2010 08 55148·
 2010 07 33141·
 2010 06 34131.
 2010 05 50142.
 2010 04 81135·
 2010 03 9141.
 2010 02 1127·
 2010 01 33149.
 2009 12  43150·
 2009 11  11142·
 2009 10  53175.
 2009 09  54158·
 2009 08  19143·
 2009 07  44153·
 2009 06  26149.
 2009 05  83137·
 2009 04  6111.
 2009 03  41113·
 2009 02  85113.
 2009 01  13115.
 2008 12 32121.
 2008 11 59138·
 2008 10 16127·
 2008 09 63135.
 2008 08 47154·
 2008 07 78124·
 2008 06 33135·
 2008 05 78122·
 2008 04 26123.
 2008 03 7127·
 2008 02 73135.
 2008 01 27133·
 2007 12  69146·
 2007 11  75118.
 2007 10  0125·
 2007 09  4137.
 2007 08  2126·
 2007 07  40144.
 2007 06  2140.
 2007 05  28145.
 2007 04  75118.
 2007 03  84128·
 2007 02  90129.
 2007 01  44128.
 2006 12 63146.
 2006 11 13120.
 2006 10 4140.
 2006 09 19144.
 2006 08 68111·
 2006 07 59123.
 2006 06 6140·
 2006 05 50123.
 2006 04 14128·
 2006 03 78146.
 2006 02 83133·
 2006 01 53148·
 2005 12  51157·
 2005 11  53159.
 2005 10  50141·
 2005 09  75122.
 2005 08  56131·
 2005 07  89121.
 2005 06  43155.
 2005 05  84167.
 2005 04  28149.
 2005 03  19153.
 2005 02  26130.
 2005 01  73113.
 2004 12 93139·
 2004 11 98112.
 2004 10 86126·
 2004 09 63139.
 2004 08 2123·
 2004 07 10112.
 2004 06 36104·
 2004 05 9895·
 2004 04 29118·
 2004 03 59102.
 2004 02 1590.
 2004 01 4691·
 2003 12  7587·
 2003 11  7989.
 2003 10  8599.
 2003 09  1107·
 2003 08  66116·
 2003 07  25141·
 2003 06  34141·
 2003 05  83109.
 2003 04  51127·
 2003 03  79119.
 2003 02  75120·
 2003 01  36129.
 2002 12 7102.
 2002 11 48117.
 2002 10 45131·
 2002 09 30114·
 2002 08 33131·
 2002 07 64115.
 2002 06 997·
 2002 05 57103·
 2002 04 5687.
 2002 03 83110·
 2002 02 53117·
 2002 01 38128.
 2001 12  24130.
 2001 11  87117·
 2001 10  90106·
 2001 09  16109.
 2001 08  1593.
 2001 07  8264·
 2001 06  5964·
 2001 05  6169·
 2001 04  2871.
 2001 03  059.
 2001 02  2287·
 2001 01  6799·
 2000 12 8893·
 2000 11 98115.
 2000 10 67100·
 2000 09 52122·
 2000 08 47119.
 2000 07 58108·
 2000 06 877·
 2000 05 6281.
 2000 04 78107·
 2000 03 85108.
 2000 02 81125·
 2000 01 65103·
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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: Men, employed government wage and salary workers in Professional and technical 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

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