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 Series Title: Employment Level: Self-employed, Unincorporated, and unpaid family workers, Nonagriculture industries, 16-24: NSA
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 2003 01  20348.
 2003 02  68311.
 2003 03  77325·
 2003 04  56320·
 2003 05  38291.
 2003 06  58376·
 2003 07  54386.
 2003 08  93401·
 2003 09  22371·
 2003 10  47335·
 2003 11  32351.
 2003 12  28384·
 2004 01 22317·
 2004 02 15344.
 2004 03 24341.
 2004 04 6390·
 2004 05 15453·
 2004 06 71457·
 2004 07 67488·
 2004 08 97515.
 2004 09 0428·
 2004 10 44434·
 2004 11 25373·
 2004 12 93330·
 2005 01  3330·
 2005 02  93341·
 2005 03  86414·
 2005 04  15431·
 2005 05  74412·
 2005 06  98421.
 2005 07  62420·
 2005 08  6352.
 2005 09  89317·
 2005 10  67405.
 2005 11  91378.
 2005 12  35398.
 2006 01 48366.
 2006 02 31371.
 2006 03 36355·
 2006 04 97357.
 2006 05 77390.
 2006 06 46429.
 2006 07 86474·
 2006 08 11417·
 2006 09 25343·
 2006 10 95362·
 2006 11 52416·
 2006 12 21407.
 2007 01  69369·
 2007 02  83350·
 2007 03  73365·
 2007 04  96296·
 2007 05  8363·
 2007 06  43420.
 2007 07  12390.
 2007 08  30419·
 2007 09  68344·
 2007 10  31403·
 2007 11  56324.
 2007 12  42336·
 2008 01 0342.
 2008 02 29346·
 2008 03 19349·
 2008 04 77377·
 2008 05 78392.
 2008 06 43459·
 2008 07 38464.
 2008 08 4507.
 2008 09 4396·
 2008 10 6343.
 2008 11 77295·
 2008 12 16315.
 2009 01  2323·
 2009 02  73296.
 2009 03  22333.
 2009 04  33322.
 2009 05  24329·
 2009 06  26316.
 2009 07  88350·
 2009 08  0367.
 2009 09  43323.
 2009 10  73297.
 2009 11  12346.
 2009 12  84342·
 2010 01 62304·
 2010 02 44303.
 2010 03 56321·
 2010 04 81339.
 2010 05 4381·
 2010 06 96414·
 2010 07 10447·
 2010 08 9366·
 2010 09 21312·
 2010 10 11297·
 2010 11 84311·
 2010 12 13263.
 2011 01  88317.
 2011 02  96302·
 2011 03  19338·
 2011 04  62404·
 2011 05  6363·
 2011 06  82427·
 2011 07  75397.
 2011 08  49363·
 2011 09  99319·
 2011 10  26259·
 2011 11  43297.
 2011 12  95311.
 2012 01 18275·
 2012 02 10293·
 2012 03 33243.
 2012 04 43243.
 2012 05 39343.
 2012 06 39357.
 2012 07 84427·
 2012 08 62322·
 2012 09 61310.
 2012 10 46342.
 2012 11 59352.
 2012 12 47298·
 2013 01  11266·
 2013 02  88275·
 2013 03  46297·
 2013 04  16312.
 2013 05  39329.
 2013 06  46325.
 2013 07  58336.
 2013 08  14305.
 2013 09  19331.
 2013 10  26282.
 2013 11  32352.
 2013 12  9331.
 2014 01 53346·
 2014 02 61337.
 2014 03 32322·
 2014 04 97304.
 2014 05 66312·
 2014 06 7365.
 2014 07 46369·
 2014 08 96331·
 2014 09 8321.
 2014 10 45299·
 2014 11 85306·
 2014 12 51269·
 2015 01  55289·
 2015 02  82301.
 2015 03  89349·
 2015 04  29364·
 2015 05  7392.
 2015 06  51414.
 2015 07  20398.
 2015 08  27322·
 2015 09  89298·
 2015 10  7345.
 2015 11  66334.
 2015 12  62280·
 2016 01 52274·
 2016 02 32244.
 2016 03 40304·
 2016 04 79339·
 2016 05 71386.
 2016 06 33385.
 2016 07 79382·
 2016 08 47376.
 2016 09 46337.
 2016 10 41349.
 2016 11 47334.
 2016 12 60317.
 2017 01  4283.
 2017 02  14265·
 2017 03  32311.
 2017 04  37275·
 2017 05  94293·


 2017 06  32351·
 2017 07  46270·
 2017 08  23328.
 2017 09  92330.
 2017 10  3378.
 2017 11  28348·
 2017 12  86374·
 2018 01 97319.
 2018 02 57285·
 2018 03 39288.
 2018 04 21363·
 2018 05 37322.
 2018 06 53359.
 2018 07 69388.
 2018 08 47404.
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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: Employment Level: Self-employed, Unincorporated, and unpaid family workers, Nonagriculture industries, 16-24: 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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