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 Series Title: Employed: Wage and salary workers, Wholesale trade, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 882624·
 2000 02 272633.
 2000 03 622774.
 2000 04 102827·
 2000 05 112623.
 2000 06 42663.
 2000 07 352586.
 2000 08 752708·
 2000 09 802802·
 2000 10 612810.
 2000 11 892825.
 2000 12 202703.
 2001 01  482475·
 2001 02  802539·
 2001 03  392544·
 2001 04  892548·
 2001 05  892551·
 2001 06  672663·
 2001 07  222509·
 2001 08  522551.
 2001 09  42617·
 2001 10  532789·
 2001 11  02640.
 2001 12  12567·
 2002 01 182468.
 2002 02 962456.
 2002 03 622536.
 2002 04 572611·
 2002 05 822759·
 2002 06 762849·
 2002 07 212863.
 2002 08 642931.
 2002 09 702787·
 2002 10 12809·
 2002 11 142808.
 2002 12 902767·
 2003 01  842827·
 2003 02  32846·
 2003 03  52854·
 2003 04  312767·
 2003 05  492723·
 2003 06  372904.
 2003 07  813109.
 2003 08  43126·
 2003 09  143180.
 2003 10  853058·
 2003 11  553094·
 2003 12  553106.
 2004 01 573105.
 2004 02 553032.
 2004 03 663054·
 2004 04 513216·
 2004 05 763022.
 2004 06 783198·
 2004 07 753289·
 2004 08 893157.
 2004 09 973117·
 2004 10 103072·
 2004 11 713080·
 2004 12 862929·
 2005 01  712966.
 2005 02  332994·
 2005 03  672968·
 2005 04  863127·
 2005 05  733037.
 2005 06  532949·
 2005 07  03168·
 2005 08  603254.
 2005 09  33224.
 2005 10  33277·
 2005 11  343198.
 2005 12  03036·
 2006 01 883066·
 2006 02 393078.
 2006 03 562976.
 2006 04 273024.
 2006 05 763030.
 2006 06 433045.
 2006 07 803112.
 2006 08 843129.
 2006 09 443082·
 2006 10 203213.
 2006 11 433159·
 2006 12 413085.
 2007 01  933145.
 2007 02  43029.
 2007 03  82866·
 2007 04  913024.
 2007 05  462913·
 2007 06  502952·
 2007 07  632977.
 2007 08  532981·
 2007 09  562937.
 2007 10  412874.
 2007 11  202851·
 2007 12  732779.
 2008 01 962632·
 2008 02 822601.
 2008 03 192682·
 2008 04 192739·
 2008 05 682905·
 2008 06 62761.
 2008 07 212785·
 2008 08 852708.
 2008 09 972706·
 2008 10 682778.
 2008 11 152621·
 2008 12 902557·
 2009 01  342469·
 2009 02  522487·
 2009 03  132582·
 2009 04  782499.
 2009 05  532664.
 2009 06  632632·
 2009 07  532761·
 2009 08  192662·
 2009 09  562565.
 2009 10  322421.
 2009 11  992500.
 2009 12  72520·
 2010 01 662526.
 2010 02 182537.
 2010 03 372448·
 2010 04 612462·
 2010 05 362590·
 2010 06 12674.
 2010 07 822708.
 2010 08 242727·
 2010 09 402617·
 2010 10 882505·
 2010 11 712635·
 2010 12 672562·
 2011 01  792589.
 2011 02  102716·
 2011 03  662671·
 2011 04  832577·
 2011 05  782597·
 2011 06  242523.
 2011 07  562616.
 2011 08  922466·
 2011 09  872487.
 2011 10  132641·
 2011 11  542584.
 2011 12  372579.
 2012 01 832509.


 2012 02 822346.
 2012 03 972440·
 2012 04 872532·
 2012 05 642599.
 2012 06 632689.
 2012 07 482663·
 2012 08 382624.
 2012 09 572624·
 2012 10 132539.
 2012 11 962468·
 2012 12 72416.
 2013 01  122426.
 2013 02  132403.
 2013 03  522471.
 2013 04  402438.
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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: Employed: Wage and salary workers, Wholesale trade, 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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