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 Series Title: Employed: Self-employed Workers, Unincorporated, Manufacturing, Men: NSA
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 2000 01 84197.
 2000 02 53190.
 2000 03 82195.
 2000 04 18229.
 2000 05 32259·
 2000 06 95248.
 2000 07 83213·
 2000 08 1243·
 2000 09 33206·
 2000 10 23182.
 2000 11 73191·
 2000 12 70211·
 2001 01  39211·
 2001 02  19213·
 2001 03  64237·
 2001 04  69212·
 2001 05  24222.
 2001 06  89252.
 2001 07  94287.
 2001 08  68263·
 2001 09  90232.
 2001 10  65186.
 2001 11  26202·
 2001 12  60225·
 2002 01 61197.
 2002 02 3198.
 2002 03 48205.
 2002 04 65175·
 2002 05 87199.
 2002 06 86204·
 2002 07 73206·
 2002 08 27206.
 2002 09 45232·
 2002 10 19236.
 2002 11 38225·
 2002 12 15216.
 2003 01  34221.
 2003 02  35218·
 2003 03  8229.
 2003 04  23211.
 2003 05  80202·
 2003 06  90232.
 2003 07  69213.
 2003 08  70217.
 2003 09  34223.
 2003 10  66220.
 2003 11  34191.
 2003 12  1215·
 2004 01 71217·
 2004 02 69221.
 2004 03 42218.
 2004 04 84224.
 2004 05 90213.
 2004 06 31188.
 2004 07 54233·
 2004 08 14211·
 2004 09 18200·
 2004 10 8228.
 2004 11 60224·
 2004 12 10217·
 2005 01  5241·
 2005 02  83223.
 2005 03  72225.
 2005 04  16219.
 2005 05  26227.
 2005 06  62211·
 2005 07  28186·
 2005 08  1161·
 2005 09  82177.
 2005 10  77172·
 2005 11  90211·
 2005 12  59224·
 2006 01 98231·
 2006 02 84243.
 2006 03 48240.
 2006 04 9227.
 2006 05 25237·
 2006 06 64205·
 2006 07 12205·
 2006 08 97199·
 2006 09 37183.
 2006 10 25206·
 2006 11 23199.
 2006 12 90218·
 2007 01  36221·
 2007 02  99235·
 2007 03  41232.
 2007 04  82223.
 2007 05  46214·
 2007 06  41215.
 2007 07  56209.
 2007 08  94189.
 2007 09  19197.
 2007 10  33216·
 2007 11  80214.
 2007 12  69192.
 2008 01 29208·
 2008 02 83194·
 2008 03 51192·
 2008 04 76205.
 2008 05 76203.
 2008 06 21200·
 2008 07 31201.
 2008 08 9192.
 2008 09 87186·
 2008 10 4178·
 2008 11 10178.
 2008 12 88188·
 2009 01  12202·
 2009 02  15219·
 2009 03  99223.
 2009 04  57207.
 2009 05  25197·
 2009 06  59203·
 2009 07  37189·
 2009 08  85223.
 2009 09  28229.
 2009 10  68208.
 2009 11  86195·
 2009 12  65229.
 2010 01 45244.
 2010 02 0245.
 2010 03 35203·
 2010 04 18186.
 2010 05 28178·
 2010 06 35201.
 2010 07 95219·
 2010 08 86234·
 2010 09 52213·
 2010 10 80225.
 2010 11 6204.
 2010 12 41201.
 2011 01  16157·
 2011 02  67192.
 2011 03  30205·
 2011 04  74218·
 2011 05  46204.
 2011 06  52155.
 2011 07  55147.
 2011 08  7134.
 2011 09  94161.
 2011 10  17178·
 2011 11  94216.
 2011 12  82197.
 2012 01 33186·
 2012 02 70195.
 2012 03 84189·
 2012 04 69193.
 2012 05 65187·
 2012 06 40225.
 2012 07 89220.
 2012 08 62171.
 2012 09 15198·
 2012 10 86169.
 2012 11 97187.
 2012 12 81247.
 2013 01  33220.
 2013 02  88213·
 2013 03  19155.
 2013 04  69156.
 2013 05  95142.
 2013 06  54168.
 2013 07  95166·
 2013 08  95173·
 2013 09  1184·
 2013 10  14135.
 2013 11  88159·
 2013 12  54183.
 2014 01 76160.
 2014 02 26166·
 2014 03 84150·
 2014 04 65108·
 2014 05 72155·
 2014 06 72146·
 2014 07 97184·
 2014 08 71194.
 2014 09 62197·
 2014 10 57209.
 2014 11 65206.
 2014 12 43205·
 2015 01  48186.
 2015 02  14160.
 2015 03  51182.
 2015 04  74151·
 2015 05  55198.
 2015 06  99157·
 2015 07  42178.
 2015 08  83169.
 2015 09  34207·
 2015 10  94192·
 2015 11  52201·
 2015 12  15182·
 2016 01 59169·
 2016 02 5152·
 2016 03 18165.
 2016 04 39156.
 2016 05 32192.
 2016 06 64180.
 2016 07 3175.
 2016 08 48183·
 2016 09 77165·
 2016 10 28176.
 2016 11 96156·
 2016 12 62165.
 2017 01  45170·
 2017 02  78163·
 2017 03  8165·
 2017 04  25143.
 2017 05  12137·
 2017 06  22169.
 2017 07  79177·
 2017 08  7188.


 2017 09  77154.
 2017 10  90177.
 2017 11  70161.
 2017 12  0173.
 2018 01 67176.
 2018 02 39148·
 2018 03 70160·
 2018 04 25128.
 2018 05 31110·
 2018 06 51151·
 2018 07 92128.
 2018 08 26166·
 2018 09 44163.
 2018 10 33212.
 2018 11 73176.
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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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