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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 55781·
 2000 02 88828·
 2000 03 4834·
 2000 04 94820·
 2000 05 72796·
 2000 06 54769.
 2000 07 59781·
 2000 08 35790·
 2000 09 12784.
 2000 10 75810·
 2000 11 71729·
 2000 12 31734.
 2001 01  24712·
 2001 02  32713.
 2001 03  53758.
 2001 04  27762·
 2001 05  85689.
 2001 06  33726.
 2001 07  43735.
 2001 08  90708·
 2001 09  95736·
 2001 10  8751.
 2001 11  4729·
 2001 12  16771·
 2002 01 79755·
 2002 02 14781·
 2002 03 24755.
 2002 04 23710.
 2002 05 88744.
 2002 06 33730.
 2002 07 15746·
 2002 08 56748.
 2002 09 96795.
 2002 10 72723.
 2002 11 16738·
 2002 12 83734·
 2003 01  5738.
 2003 02  62731.
 2003 03  89689·
 2003 04  0722.
 2003 05  39680.
 2003 06  60776.
 2003 07  22785.
 2003 08  24828.
 2003 09  50810·
 2003 10  47778·
 2003 11  29870.
 2003 12  1804.
 2004 01 12877·
 2004 02 31850·
 2004 03 47805·
 2004 04 99764.
 2004 05 26783.
 2004 06 42833.
 2004 07 38878·
 2004 08 13854·
 2004 09 17805.
 2004 10 37818.
 2004 11 92789·
 2004 12 61777·
 2005 01  36734.
 2005 02  99730.
 2005 03  20719.
 2005 04  88710·
 2005 05  58755.
 2005 06  33840.
 2005 07  61926·
 2005 08  62882.
 2005 09  84865.
 2005 10  72802.
 2005 11  77801.
 2005 12  79842.
 2006 01 38826·
 2006 02 71828.
 2006 03 57755·
 2006 04 57696.
 2006 05 71738.
 2006 06 14841.
 2006 07 13853.
 2006 08 40869·
 2006 09 59842.
 2006 10 5829·
 2006 11 83811·
 2006 12 98800·
 2007 01  3816.
 2007 02  78805·
 2007 03  31742.
 2007 04  24826.
 2007 05  26811.
 2007 06  87814·
 2007 07  43818·
 2007 08  38808.
 2007 09  80808·
 2007 10  16763·
 2007 11  33753·
 2007 12  84773.
 2008 01 41714.
 2008 02 71767.
 2008 03 39780·
 2008 04 31702.
 2008 05 8673·
 2008 06 84686·
 2008 07 24704.
 2008 08 73736·
 2008 09 7707.
 2008 10 10685.
 2008 11 75630·
 2008 12 29586·
 2009 01  88590.
 2009 02  32642·
 2009 03  5618.
 2009 04  44571·
 2009 05  27639·
 2009 06  57632·
 2009 07  53659·
 2009 08  86684.
 2009 09  25651·
 2009 10  15572·
 2009 11  81594.
 2009 12  50547·
 2010 01 6636·
 2010 02 64619·
 2010 03 77714.
 2010 04 55681.
 2010 05 20717·
 2010 06 86667.
 2010 07 54610·
 2010 08 44605.
 2010 09 44597·
 2010 10 86628.
 2010 11 50624.
 2010 12 88567·
 2011 01  78651·
 2011 02  97656.
 2011 03  28693.
 2011 04  81695·
 2011 05  47723·
 2011 06  76740.
 2011 07  76680·
 2011 08  40675·
 2011 09  1602·
 2011 10  3627.
 2011 11  5649.
 2011 12  11685.
 2012 01 16704.
 2012 02 85658·
 2012 03 56664.
 2012 04 63622·
 2012 05 93669·
 2012 06 55623·
 2012 07 90590.
 2012 08 90619.
 2012 09 56598·
 2012 10 69597·
 2012 11 95637·
 2012 12 11609·
 2013 01  56632·
 2013 02  7632·
 2013 03  84586.
 2013 04  70511.
 2013 05  68513·
 2013 06  78549.
 2013 07  95569·
 2013 08  36612.
 2013 09  94616.
 2013 10  13621.
 2013 11  91594.
 2013 12  3612.
 2014 01 57664·
 2014 02 68712·
 2014 03 60679.
 2014 04 91626·
 2014 05 9609.
 2014 06 25577.
 2014 07 14600.
 2014 08 44639.
 2014 09 26603.
 2014 10 91576·
 2014 11 92581.
 2014 12 30558·
 2015 01  6605.
 2015 02  97610.
 2015 03  57618.
 2015 04  45624.
 2015 05  77624·
 2015 06  0541·
 2015 07  95528.
 2015 08  6587.
 2015 09  87576.
 2015 10  81610.
 2015 11  21596.
 2015 12  59576.
 2016 01 13600.
 2016 02 47577·
 2016 03 73606·
 2016 04 72572·
 2016 05 55543.
 2016 06 31542·
 2016 07 12576.
 2016 08 40613·
 2016 09 39579.
 2016 10 88525·
 2016 11 27570·
 2016 12 81526·
 2017 01  14597·
 2017 02  0528.
 2017 03  31482.
 2017 04  41489.
 2017 05  56510.
 2017 06  73557.


 2017 07  61568·
 2017 08  87573.
 2017 09  66597.
 2017 10  40579.
 2017 11  82567.
 2017 12  14461.
 2018 01 68487·
 2018 02 57500·
 2018 03 79604·
 2018 04 41586·
 2018 05 14597·
 2018 06 6582.
 2018 07 67594.
 2018 08 13526·
 2018 09 79560.
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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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