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 Series Title: Employed: Self-employed Workers, Unincorporated, Retail trade, Men: NSA
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 2000 01 44524.
 2000 02 14510.
 2000 03 6424.
 2000 04 68470.
 2000 05 70438·
 2000 06 84406.
 2000 07 86459.
 2000 08 79464·
 2000 09 49438.
 2000 10 40426.
 2000 11 53462·
 2000 12 76471·
 2001 01  33492·
 2001 02  64492·
 2001 03  22449.
 2001 04  3476·
 2001 05  97451·
 2001 06  62468·
 2001 07  30530·
 2001 08  30492·
 2001 09  40510·
 2001 10  66480·
 2001 11  40438·
 2001 12  50452.
 2002 01 89453.
 2002 02 33436.
 2002 03 41418·
 2002 04 84423.
 2002 05 94428·
 2002 06 43466.
 2002 07 44489·
 2002 08 73506·
 2002 09 30473.
 2002 10 5497·
 2002 11 88505.
 2002 12 89473·
 2003 01  97464.
 2003 02  49463.
 2003 03  35422·
 2003 04  26486.
 2003 05  22481.
 2003 06  32449·
 2003 07  74445.
 2003 08  1436.
 2003 09  54427.
 2003 10  36459.
 2003 11  17548·
 2003 12  60527·
 2004 01 68495.
 2004 02 67515.
 2004 03 3420.
 2004 04 71421.
 2004 05 66450.
 2004 06 57457.
 2004 07 94431.
 2004 08 29437·
 2004 09 72490·
 2004 10 63464.
 2004 11 78495.
 2004 12 53516.
 2005 01  37541.
 2005 02  66558·
 2005 03  68557·
 2005 04  87545.
 2005 05  36537·
 2005 06  73522·
 2005 07  2527.
 2005 08  0506.
 2005 09  70513·
 2005 10  16549·
 2005 11  43530·
 2005 12  87525.
 2006 01 65509·
 2006 02 51497·
 2006 03 78502·
 2006 04 66469·
 2006 05 69454.
 2006 06 59469.
 2006 07 21498.
 2006 08 81497·
 2006 09 60455.
 2006 10 49446.
 2006 11 9470·
 2006 12 2499.
 2007 01  37467.
 2007 02  50465.
 2007 03  6471.
 2007 04  23439.
 2007 05  25498.
 2007 06  20503·
 2007 07  99504.
 2007 08  63457.
 2007 09  76475.
 2007 10  41437·
 2007 11  1432·
 2007 12  66413.
 2008 01 64424.
 2008 02 18507.
 2008 03 50459·
 2008 04 1491·
 2008 05 89448·
 2008 06 85438·
 2008 07 9419.
 2008 08 62416.
 2008 09 78425.
 2008 10 96414·
 2008 11 65421.
 2008 12 69420·
 2009 01  81356.
 2009 02  35400.
 2009 03  33372.
 2009 04  66378·
 2009 05  72372·
 2009 06  7402.
 2009 07  48394.
 2009 08  22405·
 2009 09  53428·
 2009 10  45402·
 2009 11  76457·
 2009 12  31447.
 2010 01 49415.
 2010 02 4370·
 2010 03 2352.
 2010 04 11399·
 2010 05 10403.
 2010 06 67378·
 2010 07 41377.
 2010 08 8401.
 2010 09 12416.
 2010 10 40428·
 2010 11 30437.
 2010 12 91430.
 2011 01  54436.
 2011 02  55387.
 2011 03  33394.
 2011 04  52382·
 2011 05  63385·
 2011 06  69404.
 2011 07  36409.
 2011 08  13413·
 2011 09  88396·
 2011 10  62398·
 2011 11  52440·
 2011 12  16408.
 2012 01 6397.
 2012 02 43370.
 2012 03 21350.
 2012 04 31345·
 2012 05 16361·
 2012 06 42339.
 2012 07 4349.
 2012 08 53363·
 2012 09 44350·
 2012 10 15380·
 2012 11 89399·
 2012 12 99365·
 2013 01  40291·
 2013 02  46306·
 2013 03  90312.
 2013 04  15370·
 2013 05  80361.
 2013 06  39343·
 2013 07  45319·
 2013 08  70309·
 2013 09  64343·
 2013 10  28333·
 2013 11  15329·
 2013 12  57395.
 2014 01 18326.
 2014 02 68353.
 2014 03 89362·
 2014 04 96351·
 2014 05 91339·
 2014 06 42352·
 2014 07 80383.
 2014 08 31376.
 2014 09 60386.
 2014 10 55371.
 2014 11 27393.
 2014 12 30434·
 2015 01  24413.
 2015 02  40441.
 2015 03  90389·
 2015 04  90371.
 2015 05  9411·
 2015 06  53365·
 2015 07  60374.
 2015 08  27360.
 2015 09  66367·
 2015 10  76337·
 2015 11  48359·
 2015 12  87383.
 2016 01 69343·
 2016 02 15394.
 2016 03 92414·
 2016 04 38401·
 2016 05 20359·
 2016 06 3377·
 2016 07 55379.
 2016 08 76360.
 2016 09 43348·
 2016 10 95344·
 2016 11 26358.
 2016 12 18343.
 2017 01  90320.
 2017 02  73388.
 2017 03  17323·
 2017 04  9338.
 2017 05  34334·
 2017 06  45293·
 2017 07  65312·
 2017 08  19314.


 2017 09  78323·
 2017 10  41387·
 2017 11  35414·
 2017 12  41367.
 2018 01 45358·
 2018 02 18312·
 2018 03 13336·
 2018 04 94323.
 2018 05 87360·
 2018 06 59376.
 2018 07 13368·
 2018 08 23351.
 2018 09 79369·
 2018 10 68349.
 2018 11 72354.
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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, Retail 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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