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 Series Title: Employed: Self-employed Workers, Unincorporated, Manufacturing, Men: NSA
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 2000 01 92197.
 2000 02 86190·
 2000 03 40195.
 2000 04 1229·
 2000 05 40259·
 2000 06 28248.
 2000 07 41213.
 2000 08 84243.
 2000 09 41206.
 2000 10 56182.
 2000 11 31191·
 2000 12 53211.
 2001 01  47211·
 2001 02  52213·
 2001 03  22237·
 2001 04  52212.
 2001 05  32222·
 2001 06  22252·
 2001 07  52287.
 2001 08  51263.
 2001 09  98232·
 2001 10  98186.
 2001 11  84202·
 2001 12  43225.
 2002 01 68197·
 2002 02 36198.
 2002 03 6205·
 2002 04 48175.
 2002 05 95199.
 2002 06 19204·
 2002 07 31206·
 2002 08 10206·
 2002 09 53232.
 2002 10 52236.
 2002 11 96225·
 2002 12 97216·
 2003 01  42221·
 2003 02  68218·
 2003 03  66229.
 2003 04  5211.
 2003 05  88202.
 2003 06  23232.
 2003 07  26213.
 2003 08  53217·
 2003 09  42223·
 2003 10  98220.
 2003 11  92191.
 2003 12  83215.
 2004 01 78217.
 2004 02 1221.
 2004 03 99218.
 2004 04 67224·
 2004 05 98213·
 2004 06 64188.
 2004 07 12233·
 2004 08 97211.
 2004 09 26200.
 2004 10 41228.
 2004 11 18224·
 2004 12 93217.
 2005 01  13241.
 2005 02  16223·
 2005 03  30225·
 2005 04  98219·
 2005 05  34227.
 2005 06  95211·
 2005 07  86186·
 2005 08  83161.
 2005 09  90177·
 2005 10  10172·
 2005 11  48211·
 2005 12  42224.
 2006 01 6231.
 2006 02 16243·
 2006 03 5240·
 2006 04 92227·
 2006 05 33237.
 2006 06 97205·
 2006 07 70205·
 2006 08 79199·
 2006 09 45183.
 2006 10 58206·
 2006 11 80199·
 2006 12 72218.
 2007 01  44221·
 2007 02  31235·
 2007 03  99232·
 2007 04  65223·
 2007 05  54214.
 2007 06  73215.
 2007 07  14209·
 2007 08  77189·
 2007 09  27197·
 2007 10  66216.
 2007 11  38214.
 2007 12  52192·
 2008 01 36208.
 2008 02 15194·
 2008 03 8192·
 2008 04 59205.
 2008 05 84203·
 2008 06 54200·
 2008 07 89201.
 2008 08 92192·
 2008 09 95186·
 2008 10 37178·
 2008 11 68178·
 2008 12 71188.
 2009 01  19202.
 2009 02  48219.
 2009 03  57223.
 2009 04  40207.
 2009 05  33197.
 2009 06  92203·
 2009 07  95189.
 2009 08  67223·
 2009 09  36229.
 2009 10  1208.
 2009 11  44195·
 2009 12  48229·
 2010 01 53244·
 2010 02 33245.
 2010 03 92203.
 2010 04 0186·
 2010 05 36178·
 2010 06 67201.
 2010 07 53219·
 2010 08 69234.
 2010 09 59213.
 2010 10 12225.
 2010 11 64204.
 2010 12 23201·
 2011 01  24157·
 2011 02  99192.
 2011 03  88205·
 2011 04  57218.
 2011 05  54204·
 2011 06  85155.
 2011 07  13147.
 2011 08  90134·
 2011 09  2161·
 2011 10  50178.
 2011 11  52216.
 2011 12  65197·
 2012 01 41186·
 2012 02 2195.
 2012 03 42189·
 2012 04 52193.
 2012 05 73187·
 2012 06 73225.
 2012 07 47220.
 2012 08 45171·
 2012 09 23198.
 2012 10 19169.
 2012 11 54187.
 2012 12 64247·
 2013 01  41220·
 2013 02  21213·
 2013 03  77155.
 2013 04  51156·
 2013 05  3142.
 2013 06  86168.
 2013 07  53166·
 2013 08  78173.
 2013 09  9184.
 2013 10  47135.
 2013 11  45159·
 2013 12  37183.
 2014 01 84160.
 2014 02 59166·
 2014 03 42150·
 2014 04 47108.
 2014 05 80155.
 2014 06 5146.
 2014 07 55184·
 2014 08 54194·
 2014 09 70197.
 2014 10 90209·
 2014 11 23206·
 2014 12 26205.
 2015 01  56186·
 2015 02  47160·
 2015 03  8182·
 2015 04  57151·
 2015 05  63198.
 2015 06  32157·
 2015 07  0178.
 2015 08  66169·
 2015 09  42207.
 2015 10  26192·
 2015 11  9201·
 2015 12  98182·
 2016 01 67169.
 2016 02 37152.
 2016 03 76165·
 2016 04 21156.
 2016 05 40192·
 2016 06 97180·
 2016 07 61175·
 2016 08 31183.
 2016 09 85165.
 2016 10 61176.
 2016 11 53156·
 2016 12 45165.
 2017 01  53170.
 2017 02  11163·


 2017 03  66165.
 2017 04  8143·
 2017 05  20137.
 2017 06  54169.
 2017 07  37177·
 2017 08  89188·
 2017 09  85154.
 2017 10  22177.
 2017 11  28161.
 2017 12  83173·
 2018 01 74176·
 2018 02 72148.
 2018 03 28160.
 2018 04 8128.
 2018 05 38110.
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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, Manufacturing, 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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