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 Series Title: Employed: Self-employed Workers, Unincorporated, Wholesale trade, Men: NSA
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 2000 01 85183.
 2000 02 8182.
 2000 03 63190.
 2000 04 84189·
 2000 05 28185.
 2000 06 55159·
 2000 07 28165·
 2000 08 40167.
 2000 09 62152.
 2000 10 25182.
 2000 11 19169.
 2000 12 19161·
 2001 01  38158·
 2001 02  0141·
 2001 03  49164·
 2001 04  67177.
 2001 05  31191·
 2001 06  87163·
 2001 07  55182·
 2001 08  51159·
 2001 09  41131·
 2001 10  18141·
 2001 11  1141.
 2001 12  67185·
 2002 01 95214·
 2002 02 48193·
 2002 03 75158.
 2002 04 32153·
 2002 05 41170.
 2002 06 60164·
 2002 07 89166·
 2002 08 93161·
 2002 09 57152·
 2002 10 61158·
 2002 11 81161·
 2002 12 16165·
 2003 01  41125·
 2003 02  81151.
 2003 03  14146·
 2003 04  97144·
 2003 05  20167·
 2003 06  78159.
 2003 07  76160·
 2003 08  55178·
 2003 09  44175.
 2003 10  33212.
 2003 11  80231.
 2003 12  34219·
 2004 01 88182.
 2004 02 53161.
 2004 03 64138·
 2004 04 3127·
 2004 05 52122·
 2004 06 70133·
 2004 07 91120.
 2004 08 57108·
 2004 09 63122.
 2004 10 39139·
 2004 11 48142.
 2004 12 13164·
 2005 01  70158·
 2005 02  44167.
 2005 03  49169.
 2005 04  17160.
 2005 05  49156·
 2005 06  90137.
 2005 07  31144.
 2005 08  38143.
 2005 09  0157.
 2005 10  9182·
 2005 11  57182.
 2005 12  69182.
 2006 01 49157·
 2006 02 57131·
 2006 03 16117·
 2006 04 31147.
 2006 05 46143.
 2006 06 18176·
 2006 07 20169.
 2006 08 66154.
 2006 09 66170·
 2006 10 96170·
 2006 11 6150·
 2006 12 45159·
 2007 01  9129·
 2007 02  23138·
 2007 03  39171·
 2007 04  61147·
 2007 05  2145·
 2007 06  57151·
 2007 07  5153·
 2007 08  33144·
 2007 09  95155·
 2007 10  79139·
 2007 11  17134·
 2007 12  6146·
 2008 01 62149·
 2008 02 96147.
 2008 03 15152.
 2008 04 49132.
 2008 05 5146.
 2008 06 39152.
 2008 07 59146.
 2008 08 56167.
 2008 09 48143.
 2008 10 64137·
 2008 11 39156.
 2008 12 46153·
 2009 01  43151.
 2009 02  54169·
 2009 03  67132.
 2009 04  63108.
 2009 05  64134.
 2009 06  15113·
 2009 07  81129·
 2009 08  76122·
 2009 09  12118·
 2009 10  79147.
 2009 11  44138·
 2009 12  80152·
 2010 01 12117.
 2010 02 2121·
 2010 03 44123.
 2010 04 93139.
 2010 05 15139·
 2010 06 67145.
 2010 07 94137.
 2010 08 60125·
 2010 09 96127·
 2010 10 79141·
 2010 11 31145.
 2010 12 50137.
 2011 01  55146.
 2011 02  70135·
 2011 03  19150·
 2011 04  57126.
 2011 05  19134·
 2011 06  98138.
 2011 07  45106·
 2011 08  0145.
 2011 09  36112·
 2011 10  43121·
 2011 11  23127·
 2011 12  2399.
 2012 01 8392·
 2012 02 12120.
 2012 03 90103.
 2012 04 9679.
 2012 05 6087·
 2012 06 3792.
 2012 07 9109.
 2012 08 13106·
 2012 09 93109.
 2012 10 7491·
 2012 11 67102.
 2012 12 92111·
 2013 01  31108.
 2013 02  6133.
 2013 03  79105.
 2013 04  7885·
 2013 05  5198·
 2013 06  3993·
 2013 07  81103·
 2013 08  4080.
 2013 09  52109.
 2013 10  4124.
 2013 11  37102·
 2013 12  72127.
 2014 01 60135.
 2014 02 58120·
 2014 03 35110·
 2014 04 94136·
 2014 05 25116·
 2014 06 83111·
 2014 07 8794·
 2014 08 4998·
 2014 09 2364·
 2014 10 8573.
 2014 11 3177·
 2014 12 688.
 2015 01  54115.
 2015 02  96117·
 2015 03  31121.
 2015 04  60149.
 2015 05  44153.
 2015 06  73111.
 2015 07  73102.
 2015 08  3188.
 2015 09  4367.
 2015 10  9883·
 2015 11  7265·
 2015 12  6185·
 2016 01 2688.
 2016 02 76109.
 2016 03 65113.
 2016 04 20142·
 2016 05 94151.
 2016 06 40121·
 2016 07 14112.
 2016 08 2106.
 2016 09 71117.
 2016 10 45118.
 2016 11 8146·
 2016 12 27130.
 2017 01  10117.
 2017 02  7593.
 2017 03  5995·
 2017 04  3986.
 2017 05  8499.
 2017 06  3686.
 2017 07  699·
 2017 08  6102.


 2017 09  9496·
 2017 10  5893.
 2017 11  1181·
 2017 12  2374·
 2018 01 6672.
 2018 02 9973.
 2018 03 6377·
 2018 04 984·
 2018 05 5084.
 2018 06 4194.
 2018 07 7367.
 2018 08 859.
 2018 09 2283.
 2018 10 9078·
 2018 11 81104·
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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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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