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 Series Title: Employed: Self-employed Workers, Unincorporated, Retail trade, Men: NSA
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 2000 01 85524.
 2000 02 11510.
 2000 03 10424.
 2000 04 24470·
 2000 05 16438·
 2000 06 53406.
 2000 07 3459.
 2000 08 66464.
 2000 09 19438·
 2000 10 0426·
 2000 11 4462.
 2000 12 13471·
 2001 01  45492·
 2001 02  33492·
 2001 03  24449·
 2001 04  9476·
 2001 05  69451·
 2001 06  59468·
 2001 07  2530.
 2001 08  23492·
 2001 09  92510·
 2001 10  10480.
 2001 11  2438.
 2001 12  49452.
 2002 01 39453·
 2002 02 42436·
 2002 03 10418·
 2002 04 7423.
 2002 05 61428.
 2002 06 37466.
 2002 07 39489·
 2002 08 41506·
 2002 09 33473.
 2002 10 1497.
 2002 11 28505·
 2002 12 19473.
 2003 01  55464.
 2003 02  67463·
 2003 03  40422.
 2003 04  37486·
 2003 05  53481.
 2003 06  91449.
 2003 07  61445·
 2003 08  12436.
 2003 09  77427.
 2003 10  54459.
 2003 11  6548.
 2003 12  89527.
 2004 01 2495·
 2004 02 63515.
 2004 03 12420·
 2004 04 38421.
 2004 05 29450·
 2004 06 50457.
 2004 07 42431·
 2004 08 52437.
 2004 09 84490·
 2004 10 71464.
 2004 11 84495.
 2004 12 51516·
 2005 01  16541·
 2005 02  9558·
 2005 03  50557·
 2005 04  79545·
 2005 05  1537·
 2005 06  69522.
 2005 07  79527·
 2005 08  4506.
 2005 09  40513·
 2005 10  83549·
 2005 11  34530.
 2005 12  22525.
 2006 01 57509.
 2006 02 8497·
 2006 03 2502·
 2006 04 51469·
 2006 05 4454.
 2006 06 26469.
 2006 07 96498·
 2006 08 35497.
 2006 09 56455·
 2006 10 44446·
 2006 11 55470.
 2006 12 43499.
 2007 01  12467·
 2007 02  92465.
 2007 03  40471.
 2007 04  70439·
 2007 05  99498·
 2007 06  28503·
 2007 07  41504·
 2007 08  35457·
 2007 09  66475.
 2007 10  32437.
 2007 11  69432.
 2007 12  81413.
 2008 01 90424·
 2008 02 13507.
 2008 03 64459.
 2008 04 79491·
 2008 05 70448·
 2008 06 1438·
 2008 07 86419.
 2008 08 22416·
 2008 09 33425·
 2008 10 53414.
 2008 11 26421.
 2008 12 29420·
 2009 01  27356.
 2009 02  51400·
 2009 03  95372.
 2009 04  44378.
 2009 05  30372·
 2009 06  2402.
 2009 07  31394.
 2009 08  37405.
 2009 09  40428·
 2009 10  36402·
 2009 11  97457.
 2009 12  2447.
 2010 01 84415·
 2010 02 11370.
 2010 03 82352·
 2010 04 58399·
 2010 05 12403·
 2010 06 8378.
 2010 07 97377·
 2010 08 48401·
 2010 09 0416.
 2010 10 34428.
 2010 11 81437.
 2010 12 43430.
 2011 01  47436·
 2011 02  21387.
 2011 03  97394·
 2011 04  36382·
 2011 05  79385·
 2011 06  25404.
 2011 07  33409.
 2011 08  46413.
 2011 09  46396·
 2011 10  28398·
 2011 11  1440.
 2011 12  18408.
 2012 01 25397.
 2012 02 36370.
 2012 03 40350.
 2012 04 21345.
 2012 05 15361.
 2012 06 82339·
 2012 07 12349·
 2012 08 49363.
 2012 09 41350·
 2012 10 21380·
 2012 11 5399·
 2012 12 20365·
 2013 01  54291.
 2013 02  36306·
 2013 03  33312.
 2013 04  80370·
 2013 05  30361·
 2013 06  33343·
 2013 07  32319.
 2013 08  96309·
 2013 09  69343·
 2013 10  43333·
 2013 11  66329·
 2013 12  65395·
 2014 01 96326·
 2014 02 24353.
 2014 03 23362.
 2014 04 3351.
 2014 05 61339·
 2014 06 57352.
 2014 07 16383·
 2014 08 57376.
 2014 09 41386·
 2014 10 48371·
 2014 11 82393·
 2014 12 94434.
 2015 01  34413·
 2015 02  30441.
 2015 03  85389.
 2015 04  9371.
 2015 05  68411.
 2015 06  58365.
 2015 07  12374.
 2015 08  22360.
 2015 09  92367·
 2015 10  16337·
 2015 11  77359·
 2015 12  75383.
 2016 01 81343·
 2016 02 8394.
 2016 03 16414.
 2016 04 39401·
 2016 05 36359.
 2016 06 67377.
 2016 07 93379.
 2016 08 8360·
 2016 09 83348.
 2016 10 50344.
 2016 11 97358·
 2016 12 0343·
 2017 01  71320·
 2017 02  37388.
 2017 03  39323·
 2017 04  60338.


 2017 05  77334·
 2017 06  37293.
 2017 07  58312.
 2017 08  57314.
 2017 09  0323.
 2017 10  80387·
 2017 11  16414·
 2017 12  85367·
 2018 01 66358·
 2018 02 23312.
 2018 03 2336.
 2018 04 63323·
 2018 05 25360·
 2018 06 47376.
 2018 07 29368.
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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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