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 Series Title: Men, 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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 2000 01 12194.
 2000 02 19219.
 2000 03 43212·
 2000 04 62186.
 2000 05 78148.
 2000 06 93150·
 2000 07 15185·
 2000 08 80198.
 2000 09 3201·
 2000 10 59178.
 2000 11 82205·
 2000 12 90186·
 2001 01  39181·
 2001 02  99186.
 2001 03  56153·
 2001 04  36152.
 2001 05  61138.
 2001 06  20123·
 2001 07  76123.
 2001 08  89175.
 2001 09  69186·
 2001 10  52176·
 2001 11  4201.
 2001 12  41225.
 2002 01 89219·
 2002 02 54234·
 2002 03 28219.
 2002 04 12178.
 2002 05 70211·
 2002 06 6193.
 2002 07 61221·
 2002 08 46215·
 2002 09 89196.
 2002 10 15221.
 2002 11 41209·
 2002 12 13216.
 2003 01  46248·
 2003 02  12244.
 2003 03  31223·
 2003 04  5220·
 2003 05  67204.
 2003 06  55241·
 2003 07  19240.
 2003 08  44240·
 2003 09  1225.
 2003 10  25211.
 2003 11  18204·
 2003 12  72208.
 2004 01 23187.
 2004 02 28184·
 2004 03 65189·
 2004 04 59195.
 2004 05 36187·
 2004 06 97228·
 2004 07 24231.
 2004 08 99259·
 2004 09 63274·
 2004 10 88237.
 2004 11 81211·
 2004 12 11243.
 2005 01  55203.
 2005 02  82242.
 2005 03  52255.
 2005 04  39249.
 2005 05  87291.
 2005 06  87272.
 2005 07  72278·
 2005 08  52266.
 2005 09  61254.
 2005 10  33259.
 2005 11  5253.
 2005 12  45263·
 2006 01 1270.
 2006 02 78252.
 2006 03 40268·
 2006 04 37240·
 2006 05 58226.
 2006 06 2258·
 2006 07 88224·
 2006 08 72215·
 2006 09 7270.
 2006 10 14253·
 2006 11 87221.
 2006 12 18250·
 2007 01  48224.
 2007 02  44213·
 2007 03  2228·
 2007 04  71231.
 2007 05  7266·
 2007 06  49230·
 2007 07  18269·
 2007 08  49261·
 2007 09  35270.
 2007 10  11259·
 2007 11  51244·
 2007 12  96248.
 2008 01 6203·
 2008 02 36218·
 2008 03 36227.
 2008 04 82263.
 2008 05 21281·
 2008 06 56277.
 2008 07 38250.
 2008 08 0303.
 2008 09 6263.
 2008 10 27262.
 2008 11 43248·
 2008 12 70207.
 2009 01  11205·
 2009 02  32210·
 2009 03  66201·
 2009 04  36214.
 2009 05  11250·
 2009 06  77254.
 2009 07  43276·
 2009 08  67260.
 2009 09  6293.
 2009 10  93307·
 2009 11  38257·
 2009 12  58274.
 2010 01 23261.
 2010 02 37237.
 2010 03 39264.
 2010 04 26245·
 2010 05 11267·
 2010 06 91237·
 2010 07 58228·
 2010 08 17272.
 2010 09 45257.
 2010 10 62265·
 2010 11 33270·
 2010 12 0253.
 2011 01  27275·
 2011 02  80315·
 2011 03  28300·
 2011 04  69260·
 2011 05  82243·
 2011 06  4213·
 2011 07  30230·
 2011 08  42264.
 2011 09  59244.
 2011 10  13256·
 2011 11  52290·
 2011 12  65296·
 2012 01 35285·


 2012 02 16260.
 2012 03 32271·
 2012 04 6254.
 2012 05 10243.
 2012 06 43238.
 2012 07 33245·
 2012 08 59295·
 2012 09 9304·
 2012 10 52289·
 2012 11 42292·
 2012 12 43298.
 2013 01  82285.
 2013 02  24291·
 2013 03  73310.
 2013 04  4315.
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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 business services: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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