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 Series Title: Employment: Nonagriculture Private wage and salary workers in Professional and business services industry, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 66042·
 2000 02 705972.
 2000 03 886071·
 2000 04 76150·
 2000 05 966188.
 2000 06 306499.
 2000 07 826473·
 2000 08 576315.
 2000 09 406284.
 2000 10 756376·
 2000 11 636606.
 2000 12 936627·
 2001 01  886626.
 2001 02  886327·
 2001 03  466363.
 2001 04  596484·
 2001 05  166521.
 2001 06  756907·
 2001 07  686806.
 2001 08  256706·
 2001 09  236596.
 2001 10  686368.
 2001 11  936349·
 2001 12  846405·
 2002 01 366383·
 2002 02 246482.
 2002 03 76526.
 2002 04 576730.
 2002 05 56658·
 2002 06 236869.
 2002 07 246856·
 2002 08 866869·
 2002 09 56892·
 2002 10 746868.
 2002 11 826593.
 2002 12 416495·
 2003 01  366314.
 2003 02  76393.
 2003 03  446567·
 2003 04  166725·
 2003 05  256836·
 2003 06  796686·
 2003 07  976548.
 2003 08  306458.
 2003 09  216385.
 2003 10  726406.
 2003 11  546421·
 2003 12  286409·
 2004 01 996310.
 2004 02 926400·
 2004 03 546447.
 2004 04 796582.
 2004 05 616670·
 2004 06 726668.
 2004 07 596788.
 2004 08 766720·
 2004 09 316759.
 2004 10 666719.
 2004 11 576846.
 2004 12 396718·
 2005 01  606549·
 2005 02  596430.
 2005 03  616415.
 2005 04  126458·
 2005 05  246615·
 2005 06  556805·
 2005 07  96898.
 2005 08  646992.
 2005 09  226793.
 2005 10  866837.
 2005 11  646774·
 2005 12  896715.
 2006 01 806655·
 2006 02 106745.
 2006 03 136892·
 2006 04 77138·
 2006 05 497300·
 2006 06 87340·
 2006 07 707380.
 2006 08 627135.
 2006 09 47031.
 2006 10 867147.
 2006 11 727175.
 2006 12 227116·
 2007 01  447173.
 2007 02  777183·
 2007 03  837202·
 2007 04  827459.
 2007 05  977377.
 2007 06  367490·
 2007 07  907733·
 2007 08  617741.
 2007 09  127632.
 2007 10  467616·
 2007 11  67693·
 2007 12  37551.
 2008 01 647405·
 2008 02 127299·
 2008 03 697330·
 2008 04 777258.
 2008 05 537537.
 2008 06 687736.
 2008 07 427722·
 2008 08 777699·
 2008 09 67539·
 2008 10 697549·
 2008 11 137591.
 2008 12 247370.
 2009 01  737014.
 2009 02  967029.
 2009 03  947106.
 2009 04  607240·
 2009 05  297355.
 2009 06  587434.
 2009 07  247361·
 2009 08  547407.
 2009 09  747337·
 2009 10  847544.
 2009 11  667492·
 2009 12  27537·
 2010 01 337394·
 2010 02 337413·
 2010 03 67342.
 2010 04 227447.
 2010 05 587479.
 2010 06 857550.
 2010 07 597662.
 2010 08 587573·
 2010 09 247559·
 2010 10 477456.
 2010 11 627519.
 2010 12 797580.
 2011 01  307667·
 2011 02  517588.
 2011 03  797766.
 2011 04  807754·
 2011 05  37676·
 2011 06  547829.
 2011 07  967854·
 2011 08  808080.
 2011 09  938123·
 2011 10  367942.
 2011 11  278039.
 2011 12  228067·
 2012 01 747891.


 2012 02 68066.
 2012 03 98268.
 2012 04 768403·
 2012 05 498145.
 2012 06 938177.
 2012 07 68231.
 2012 08 378411·
 2012 09 418468·
 2012 10 568463.
 2012 11 68200.
 2012 12 227942·
 2013 01  17726.
 2013 02  767978·
 2013 03  218067·
 2013 04  778282.
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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: Nonagriculture Private wage and salary workers in Professional and business services industry, Men: 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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