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 Series Title: Employment Level: Office and Administrative Support Occupations in Wholesale Trade Industry: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 35781·
 2000 02 68828·
 2000 03 22834·
 2000 04 55820·
 2000 05 51796·
 2000 06 95769.
 2000 07 73781·
 2000 08 4790·
 2000 09 84784·
 2000 10 70810·
 2000 11 76729·
 2000 12 1734.
 2001 01  84712.
 2001 02  75713·
 2001 03  42758.
 2001 04  91762.
 2001 05  26689.
 2001 06  17726·
 2001 07  9735.
 2001 08  43708·
 2001 09  10736·
 2001 10  28751·
 2001 11  42729.
 2001 12  51771·
 2002 01 62755.
 2002 02 63781.
 2002 03 26755·
 2002 04 34710·
 2002 05 33744.
 2002 06 5730·
 2002 07 76746.
 2002 08 37748·
 2002 09 97795.
 2002 10 61723.
 2002 11 30738.
 2002 12 28734.
 2003 01  55738.
 2003 02  61731.
 2003 03  49689·
 2003 04  2722.
 2003 05  33680.
 2003 06  63776.
 2003 07  23785.
 2003 08  78828·
 2003 09  81810·
 2003 10  49778·
 2003 11  63870·
 2003 12  99804.
 2004 01 74877·
 2004 02 24850·
 2004 03 9805.
 2004 04 36764.
 2004 05 12783·
 2004 06 20833·
 2004 07 22878.
 2004 08 82854·
 2004 09 21805·
 2004 10 95818·
 2004 11 90789·
 2004 12 56777·
 2005 01  52734·
 2005 02  30730·
 2005 03  27719·
 2005 04  2710·
 2005 05  80755·
 2005 06  31840·
 2005 07  71926.
 2005 08  91882.
 2005 09  5865·
 2005 10  30802·
 2005 11  84801.
 2005 12  15842·
 2006 01 53826.
 2006 02 84828·
 2006 03 53755.
 2006 04 94696.
 2006 05 73738·
 2006 06 74841.
 2006 07 93853·
 2006 08 72869·
 2006 09 42842·
 2006 10 7829·
 2006 11 41811.
 2006 12 18800.
 2007 01  60816·
 2007 02  15805·
 2007 03  60742·
 2007 04  27826·
 2007 05  51811·
 2007 06  54814.
 2007 07  37818·
 2007 08  17808·
 2007 09  68808·
 2007 10  6763·
 2007 11  87753.
 2007 12  32773·
 2008 01 84714.
 2008 02 77767.
 2008 03 45780·
 2008 04 43702·
 2008 05 0673·
 2008 06 0686.
 2008 07 76704.
 2008 08 42736·
 2008 09 43707·
 2008 10 31685·
 2008 11 67630.
 2008 12 49586·
 2009 01  61590.
 2009 02  51642.
 2009 03  32618·
 2009 04  9571.
 2009 05  31639·
 2009 06  67632.
 2009 07  7659.
 2009 08  90684·
 2009 09  53651·
 2009 10  11572·
 2009 11  57594·
 2009 12  86547.
 2010 01 52636.
 2010 02 39619·
 2010 03 68714·
 2010 04 17681·
 2010 05 79717·
 2010 06 34667·
 2010 07 54610·
 2010 08 27605.
 2010 09 8597·
 2010 10 1628.
 2010 11 52624.
 2010 12 84567.
 2011 01  42651·
 2011 02  72656.
 2011 03  27693·
 2011 04  84695·
 2011 05  4723.
 2011 06  5740.
 2011 07  64680·
 2011 08  44675·
 2011 09  45602·
 2011 10  80627·
 2011 11  78649.
 2011 12  10685·
 2012 01 41704·
 2012 02 4658.
 2012 03 6664·
 2012 04 51622.
 2012 05 92669·
 2012 06 9623.
 2012 07 11590.
 2012 08 60619.
 2012 09 23598.
 2012 10 52597.
 2012 11 81637.
 2012 12 57609.
 2013 01  85632.
 2013 02  14632.
 2013 03  29586·
 2013 04  85511·
 2013 05  54513·
 2013 06  2549·
 2013 07  93569.
 2013 08  15612·
 2013 09  28616·
 2013 10  47621.
 2013 11  35594·
 2013 12  40612.
 2014 01 35664·
 2014 02 6712.
 2014 03 44679·
 2014 04 79626·
 2014 05 24609·
 2014 06 61577·
 2014 07 33600.
 2014 08 76639·
 2014 09 71603·
 2014 10 18576·
 2014 11 38581·
 2014 12 1558.
 2015 01  77605.
 2015 02  10610·
 2015 03  24618.
 2015 04  48624·
 2015 05  65624.
 2015 06  92541.
 2015 07  78528·
 2015 08  36587·
 2015 09  88576.
 2015 10  46610·
 2015 11  13596.
 2015 12  8576.
 2016 01 19600.
 2016 02 79577·
 2016 03 67606·
 2016 04 35572.
 2016 05 61543·
 2016 06 23542.
 2016 07 3576.
 2016 08 10613.
 2016 09 38579·
 2016 10 34525.
 2016 11 8570·
 2016 12 53526·
 2017 01  0597·
 2017 02  94528.
 2017 03  96482.
 2017 04  7489·


 2017 05  23510.
 2017 06  9557·
 2017 07  4568·
 2017 08  41573·
 2017 09  7597·
 2017 10  12579·
 2017 11  95567·
 2017 12  51461·
 2018 01 78487.
 2018 02 58500·
 2018 03 58604.
 2018 04 54586·
 2018 05 86597·
 2018 06 30582.
 2018 07 5594·
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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: Office and Administrative Support Occupations in Wholesale Trade Industry: 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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