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 Series Title: Employed: Self-employed Workers, Unincorporated, Wholesale trade, Men: NSA
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 2000 01 11183·
 2000 02 29182.
 2000 03 67190·
 2000 04 81189.
 2000 05 45185·
 2000 06 40159·
 2000 07 45165·
 2000 08 73167·
 2000 09 14152.
 2000 10 18182·
 2000 11 93169.
 2000 12 32161.
 2001 01  68158·
 2001 02  45141.
 2001 03  23164·
 2001 04  4177·
 2001 05  83191·
 2001 06  27163.
 2001 07  73182·
 2001 08  56159.
 2001 09  60131.
 2001 10  97141·
 2001 11  7141·
 2001 12  82185·
 2002 01 23214·
 2002 02 11193·
 2002 03 12158.
 2002 04 3153.
 2002 05 23170·
 2002 06 50164.
 2002 07 1166·
 2002 08 62161·
 2002 09 36152·
 2002 10 21158.
 2002 11 12161·
 2002 12 28165.
 2003 01  61125.
 2003 02  55151·
 2003 03  8146·
 2003 04  95144·
 2003 05  24167·
 2003 06  10159·
 2003 07  77160·
 2003 08  83178·
 2003 09  77175.
 2003 10  67212.
 2003 11  31231·
 2003 12  36219.
 2004 01 93182·
 2004 02 33161·
 2004 03 9138·
 2004 04 22127·
 2004 05 73122.
 2004 06 39133.
 2004 07 74120·
 2004 08 37108·
 2004 09 44122·
 2004 10 42139·
 2004 11 13142·
 2004 12 99164·
 2005 01  54158.
 2005 02  23167.
 2005 03  39169·
 2005 04  51160.
 2005 05  80156.
 2005 06  90137·
 2005 07  90144.
 2005 08  65143·
 2005 09  22157·
 2005 10  73182.
 2005 11  29182.
 2005 12  32182.
 2006 01 6157·
 2006 02 30131.
 2006 03 44117.
 2006 04 74147.
 2006 05 81143.
 2006 06 42176.
 2006 07 48169·
 2006 08 33154·
 2006 09 23170.
 2006 10 15170.
 2006 11 79150.
 2006 12 79159·
 2007 01  33129.
 2007 02  83138.
 2007 03  99171·
 2007 04  6147·
 2007 05  35145·
 2007 06  0151·
 2007 07  96153·
 2007 08  34144.
 2007 09  81155.
 2007 10  48139.
 2007 11  84134.
 2007 12  5146·
 2008 01 46149·
 2008 02 36147·
 2008 03 1152·
 2008 04 91132.
 2008 05 29146·
 2008 06 93152·
 2008 07 8146·
 2008 08 84167·
 2008 09 58143.
 2008 10 76137.
 2008 11 95156.
 2008 12 3153·
 2009 01  81151.
 2009 02  68169.
 2009 03  73132·
 2009 04  94108·
 2009 05  74134.
 2009 06  75113·
 2009 07  81129·
 2009 08  25122.
 2009 09  38118.
 2009 10  28147.
 2009 11  82138·
 2009 12  90152.
 2010 01 98117.
 2010 02 85121·
 2010 03 63123.
 2010 04 8139·
 2010 05 4139.
 2010 06 26145.
 2010 07 38137.
 2010 08 24125.
 2010 09 32127.
 2010 10 58141.
 2010 11 45145·
 2010 12 6137·
 2011 01  82146·
 2011 02  14135·
 2011 03  45150·
 2011 04  49126.
 2011 05  80134.
 2011 06  50138·
 2011 07  28106·
 2011 08  73145.
 2011 09  76112·
 2011 10  46121·
 2011 11  6127·
 2011 12  2099·
 2012 01 4592.
 2012 02 11120.
 2012 03 17103.
 2012 04 6079.
 2012 05 8887·
 2012 06 7692.
 2012 07 23109·
 2012 08 88106·
 2012 09 31109.
 2012 10 9691.
 2012 11 14102.
 2012 12 22111.
 2013 01  22108·
 2013 02  55133.
 2013 03  1105.
 2013 04  785.
 2013 05  3998·
 2013 06  5893·
 2013 07  22103·
 2013 08  1180.
 2013 09  81109·
 2013 10  38124.
 2013 11  41102·
 2013 12  30127·
 2014 01 74135·
 2014 02 50120.
 2014 03 45110.
 2014 04 81136.
 2014 05 67116·
 2014 06 77111.
 2014 07 4794.
 2014 08 1098·
 2014 09 3864·
 2014 10 2573.
 2014 11 8677.
 2014 12 8588·
 2015 01  85115·
 2015 02  25117·
 2015 03  23121.
 2015 04  0149·
 2015 05  34153·
 2015 06  35111·
 2015 07  47102·
 2015 08  7588·
 2015 09  3667·
 2015 10  3683·
 2015 11  7165.
 2015 12  5485.
 2016 01 6788·
 2016 02 35109.
 2016 03 33113.
 2016 04 6142·
 2016 05 25151·
 2016 06 63121.
 2016 07 95112·
 2016 08 24106·
 2016 09 38117·
 2016 10 77118.
 2016 11 45146.
 2016 12 29130.
 2017 01  54117.
 2017 02  5993·
 2017 03  9795.
 2017 04  6486.


 2017 05  5199·
 2017 06  1586.
 2017 07  8899·
 2017 08  99102·
 2017 09  2796·
 2017 10  7793.
 2017 11  8181·
 2017 12  2774.
 2018 01 972.
 2018 02 173·
 2018 03 6477.
 2018 04 6884·
 2018 05 4684·
 2018 06 6994.
 2018 07 5067.
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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: Employed: Self-employed Workers, Unincorporated, 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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