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 Series Title: Employed: Self-employed Workers, Unincorporated, Retail trade, Men: 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 16524.
 2000 02 51510·
 2000 03 65424.
 2000 04 73470·
 2000 05 15438.
 2000 06 30406.
 2000 07 64459·
 2000 08 90464·
 2000 09 61438·
 2000 10 89426.
 2000 11 46462.
 2000 12 86471·
 2001 01  5492.
 2001 02  10492·
 2001 03  22449·
 2001 04  7476·
 2001 05  23451·
 2001 06  98468·
 2001 07  31530.
 2001 08  21492.
 2001 09  14510·
 2001 10  86480·
 2001 11  36438.
 2001 12  22452·
 2002 01 5453·
 2002 02 30436.
 2002 03 25418·
 2002 04 30423·
 2002 05 45428·
 2002 06 12466.
 2002 07 10489.
 2002 08 88506·
 2002 09 10473.
 2002 10 39497·
 2002 11 30505.
 2002 12 66473.
 2003 01  1464.
 2003 02  41463·
 2003 03  48422·
 2003 04  58486.
 2003 05  42481.
 2003 06  77449·
 2003 07  50445.
 2003 08  83436.
 2003 09  84427·
 2003 10  27459·
 2003 11  51548.
 2003 12  85527·
 2004 01 3495·
 2004 02 99515·
 2004 03 88420·
 2004 04 33421·
 2004 05 98450·
 2004 06 23457.
 2004 07 23431.
 2004 08 22437·
 2004 09 96490.
 2004 10 56464.
 2004 11 46495.
 2004 12 70516.
 2005 01  47541.
 2005 02  81558.
 2005 03  68557·
 2005 04  23545.
 2005 05  25537.
 2005 06  3522.
 2005 07  28527.
 2005 08  48506.
 2005 09  32513.
 2005 10  54549·
 2005 11  89530.
 2005 12  40525·
 2006 01 93509·
 2006 02 92497·
 2006 03 38502·
 2006 04 18469·
 2006 05 58454.
 2006 06 97469·
 2006 07 88498.
 2006 08 27497·
 2006 09 3455.
 2006 10 76446.
 2006 11 77470.
 2006 12 35499·
 2007 01  28467·
 2007 02  62465.
 2007 03  69471·
 2007 04  36439·
 2007 05  58498.
 2007 06  9503.
 2007 07  50504.
 2007 08  51457·
 2007 09  44475·
 2007 10  1437·
 2007 11  34432.
 2007 12  22413.
 2008 01 61424.
 2008 02 44507.
 2008 03 60459·
 2008 04 19491.
 2008 05 10448.
 2008 06 69438·
 2008 07 88419.
 2008 08 37416·
 2008 09 16425.
 2008 10 34414.
 2008 11 8421·
 2008 12 93420.
 2009 01  29356.
 2009 02  19400.
 2009 03  33372.
 2009 04  33378·
 2009 05  24372.
 2009 06  31402.
 2009 07  0394·
 2009 08  26405.
 2009 09  3428.
 2009 10  3402.
 2009 11  72457·
 2009 12  65447·
 2010 01 91415.
 2010 02 90370.
 2010 03 38352.
 2010 04 71399.
 2010 05 37403·
 2010 06 74378·
 2010 07 9377.
 2010 08 86401.
 2010 09 18416·
 2010 10 62428·
 2010 11 24437.
 2010 12 80430.
 2011 01  33436.
 2011 02  86387·
 2011 03  46394·
 2011 04  48382.
 2011 05  9385.
 2011 06  2404·
 2011 07  62409·
 2011 08  8413·
 2011 09  94396·
 2011 10  92398·
 2011 11  87440·
 2011 12  4408.
 2012 01 66397·
 2012 02 63370.
 2012 03 56350·
 2012 04 7345.
 2012 05 24361·
 2012 06 45339·
 2012 07 34349.
 2012 08 9363·
 2012 09 94350.
 2012 10 97380.
 2012 11 8399·
 2012 12 30365·
 2013 01  26291·
 2013 02  99306.
 2013 03  91312·
 2013 04  14370·
 2013 05  95361.
 2013 06  57343·
 2013 07  22319.
 2013 08  30309.
 2013 09  2343·
 2013 10  5333.
 2013 11  62329·
 2013 12  73395·
 2014 01 72326.
 2014 02 98353.
 2014 03 0362·
 2014 04 62351.
 2014 05 56339.
 2014 06 18352.
 2014 07 48383·
 2014 08 40376.
 2014 09 29386·
 2014 10 71371.
 2014 11 45393.
 2014 12 77434·
 2015 01  91413.
 2015 02  90441·
 2015 03  54389.
 2015 04  67371.
 2015 05  68411.
 2015 06  31365·
 2015 07  62374.
 2015 08  29360·
 2015 09  10367·
 2015 10  75337·
 2015 11  82359.
 2015 12  7383.
 2016 01 93343·
 2016 02 30394·
 2016 03 52414.
 2016 04 70401.
 2016 05 17359.
 2016 06 26377.
 2016 07 36379.
 2016 08 13360·
 2016 09 7348.
 2016 10 21344·
 2016 11 20358.
 2016 12 55343.
 2017 01  13320.
 2017 02  95388·
 2017 03  18323·
 2017 04  40338.
 2017 05  12334·
 2017 06  57293.
 2017 07  68312.
 2017 08  36314·
 2017 09  3323.
 2017 10  37387·
 2017 11  32414·
 2017 12  39367.


 2018 01 13358·
 2018 02 92312.
 2018 03 99336.
 2018 04 67323.
 2018 05 90360·
 2018 06 4376.
 2018 07 81368·
 2018 08 64351.
 2018 09 11369.
 2018 10 79349.
 2018 11 17354.
 2018 12 0361·
 2019 01  77338·
 2019 02  49349.
 2019 03  68309.
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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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