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 Series Title: Employed: Self-employed Workers, Unincorporated, Retail trade, Men: NSA
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 2000 01 90524.
 2000 02 43510·
 2000 03 11424·
 2000 04 52470.
 2000 05 49438·
 2000 06 87406.
 2000 07 54459·
 2000 08 67464.
 2000 09 24438·
 2000 10 80426.
 2000 11 49462·
 2000 12 32471·
 2001 01  66492.
 2001 02  2492·
 2001 03  7449.
 2001 04  89476·
 2001 05  50451·
 2001 06  61468·
 2001 07  67530·
 2001 08  8492·
 2001 09  76510.
 2001 10  89480.
 2001 11  91438.
 2001 12  83452.
 2002 01 71453·
 2002 02 42436·
 2002 03 68418.
 2002 04 34423·
 2002 05 83428·
 2002 06 1466.
 2002 07 11489·
 2002 08 4506·
 2002 09 90473·
 2002 10 74497·
 2002 11 56505.
 2002 12 62473.
 2003 01  90464.
 2003 02  91463.
 2003 03  68422·
 2003 04  3486.
 2003 05  10481.
 2003 06  10449·
 2003 07  34445·
 2003 08  46436.
 2003 09  0427·
 2003 10  13459·
 2003 11  66548.
 2003 12  35527·
 2004 01 35495.
 2004 02 5515.
 2004 03 4420.
 2004 04 38421.
 2004 05 16450.
 2004 06 19457·
 2004 07 9431·
 2004 08 51437·
 2004 09 67490.
 2004 10 11464·
 2004 11 70495·
 2004 12 93516·
 2005 01  40541.
 2005 02  63558·
 2005 03  99557.
 2005 04  7545·
 2005 05  10537·
 2005 06  81522·
 2005 07  35527·
 2005 08  62506.
 2005 09  78513·
 2005 10  97549·
 2005 11  40530.
 2005 12  53525·
 2006 01 67509.
 2006 02 68497·
 2006 03 2502·
 2006 04 99469.
 2006 05 30454.
 2006 06 75469·
 2006 07 34498·
 2006 08 45497.
 2006 09 41455.
 2006 10 26446.
 2006 11 74470.
 2006 12 58499.
 2007 01  1467.
 2007 02  51465·
 2007 03  85471.
 2007 04  34439.
 2007 05  35498·
 2007 06  7503.
 2007 07  54504.
 2007 08  91457.
 2007 09  93475·
 2007 10  76437·
 2007 11  96432.
 2007 12  74413.
 2008 01 52424.
 2008 02 65507.
 2008 03 46459.
 2008 04 51491·
 2008 05 10448·
 2008 06 5438·
 2008 07 70419.
 2008 08 18416·
 2008 09 95425·
 2008 10 53414.
 2008 11 53421.
 2008 12 92420·
 2009 01  55356·
 2009 02  90400.
 2009 03  10372·
 2009 04  19378·
 2009 05  68372.
 2009 06  23402·
 2009 07  77394.
 2009 08  67405·
 2009 09  32428.
 2009 10  85402·
 2009 11  19457.
 2009 12  31447·
 2010 01 73415.
 2010 02 30370.
 2010 03 22352·
 2010 04 29399.
 2010 05 42403·
 2010 06 42378·
 2010 07 1377·
 2010 08 6401.
 2010 09 14416·
 2010 10 26428.
 2010 11 91437·
 2010 12 30430·
 2011 01  89436·
 2011 02  15387·
 2011 03  58394·
 2011 04  97382·
 2011 05  93385·
 2011 06  64404.
 2011 07  87409·
 2011 08  25413·
 2011 09  77396.
 2011 10  57398·
 2011 11  93440·
 2011 12  58408·
 2012 01 15397.
 2012 02 98370·
 2012 03 14350·
 2012 04 66345·
 2012 05 8361·
 2012 06 20339.
 2012 07 11349·
 2012 08 42363·
 2012 09 82350.
 2012 10 80380·
 2012 11 73399·
 2012 12 6365·
 2013 01  86291.
 2013 02  59306.
 2013 03  14312·
 2013 04  2370.
 2013 05  96361.
 2013 06  64343.
 2013 07  69319·
 2013 08  99309.
 2013 09  13343·
 2013 10  27333.
 2013 11  4329.
 2013 12  91395.
 2014 01 62326.
 2014 02 3353.
 2014 03 5362·
 2014 04 97351·
 2014 05 94339·
 2014 06 75352.
 2014 07 86383·
 2014 08 62376·
 2014 09 83386.
 2014 10 50371·
 2014 11 83393.
 2014 12 54434.
 2015 01  30413.
 2015 02  58441.
 2015 03  62389.
 2015 04  68371.
 2015 05  61411.
 2015 06  57365·
 2015 07  8374.
 2015 08  23360.
 2015 09  26367.
 2015 10  29337·
 2015 11  35359.
 2015 12  62383·
 2016 01 0343·
 2016 02 79394.
 2016 03 81414.
 2016 04 56401·
 2016 05 83359.
 2016 06 40377·
 2016 07 9379·
 2016 08 99360·
 2016 09 2348.
 2016 10 69344.
 2016 11 6358·
 2016 12 8343·
 2017 01  7320.
 2017 02  46388·
 2017 03  86323·
 2017 04  29338·
 2017 05  72334·
 2017 06  78293·


 2017 07  86312.
 2017 08  31314·
 2017 09  98323·
 2017 10  98387.
 2017 11  70414·
 2017 12  8367·
 2018 01 11358·
 2018 02 61312·
 2018 03 25336·
 2018 04 79323·
 2018 05 61360.
 2018 06 50376.
 2018 07 64368.
 2018 08 88351·
 2018 09 24369·
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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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