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 Series Title: Employment Level: Private Wage and Salary Workers in Wholesale Trade Industry: NSA
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 2012 04 133487.
 2012 03 833420.
 2012 02 643337·
 2012 01 643483.
 2011 12  183516.
 2011 11  603502·
 2011 10  283626·
 2011 09  893537·
 2011 08  893516·
 2011 07  363637.
 2011 06  943578·
 2011 05  123692.
 2011 04  773716.
 2011 03  923744.
 2011 02  733754·
 2011 01  773601·
 2010 12 573439·
 2010 11 353614.
 2010 10 43501.
 2010 09 553642.
 2010 08 303797.
 2010 07 963807.
 2010 06 493764·
 2010 05 393649.
 2010 04 213604·
 2010 03 333537.
 2010 02 983557.
 2010 01 483523.
 2009 12  793521·
 2009 11  263579·
 2009 10  613470·
 2009 09  263643·
 2009 08  823710.
 2009 07  823820.
 2009 06  783717·
 2009 05  433738.
 2009 04  283505·
 2009 03  333608.
 2009 02  103575.
 2009 01  933591.
 2008 12 443732.
 2008 11 363793.
 2008 10 473880.
 2008 09 943826.
 2008 08 803787.
 2008 07 723846·
 2008 06 13865.
 2008 05 923981·
 2008 04 113932·
 2008 03 483875.
 2008 02 103793·
 2008 01 543814.
 2007 12  383948·
 2007 11  954085.
 2007 10  364056·
 2007 09  764090.
 2007 08  864215.
 2007 07  714266.
 2007 06  684204.
 2007 05  764158·
 2007 04  54220.
 2007 03  564033.
 2007 02  184230.
 2007 01  984438.
 2006 12 714454·
 2006 11 584430·
 2006 10 254483·
 2006 09 124341·
 2006 08 844357·
 2006 07 84373.
 2006 06 514366.
 2006 05 124300.
 2006 04 704215.
 2006 03 624193·
 2006 02 844307·
 2006 01 174347·
 2005 12  794400.
 2005 11  34489.
 2005 10  374522·
 2005 09  714468·
 2005 08  864503.
 2005 07  374484·
 2005 06  484209·
 2005 05  434284.
 2005 04  924325.
 2005 03  964194·
 2005 02  804171·
 2005 01  274193·
 2004 12 224216.
 2004 11 364304.
 2004 10 214337.
 2004 09 434400·
 2004 08 274442·
 2004 07 384633.
 2004 06 834501.
 2004 05 344298.
 2004 04 814498·
 2004 03 114312·
 2004 02 54341·
 2004 01 704472.
 2003 12  864453.
 2003 11  844538.
 2003 10  504424.
 2003 09  454509·
 2003 08  674396·
 2003 07  164398.
 2003 06  44200·
 2003 05  783966·
 2003 04  734008.
 2003 03  874064·
 2003 02  823944.
 2003 01  143936·
 2002 12 823872.
 2002 11 43952·
 2002 10 203979.
 2002 09 204042·
 2002 08 924132.
 2002 07 984086.
 2002 06 834067.
 2002 05 923996.
 2002 04 293816.
 2002 03 283706·
 2002 02 583642·
 2002 01 493654.
 2001 12  443815.
 2001 11  733854·
 2001 10  574004·
 2001 09  353809.
 2001 08  123662.
 2001 07  413602.
 2001 06  193861.
 2001 05  183747.
 2001 04  333805·
 2001 03  633839.
 2001 02  63740.
 2001 01  933682.
 2000 12 343913·
 2000 11 964053·
 2000 10 74105·
 2000 09 804095.
 2000 08 633951·
 2000 07 223771·
 2000 06 343846·
 2000 05 223918.
 2000 04 984117·
 2000 03 474056·
 2000 02 263934.
 2000 01 883889·
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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 Level: Private Wage and Salary Workers in Wholesale Trade Industry: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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