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 Series Title: Employed: Self-employed Workers, Unincorporated, Manufacturing, Men: NSA
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 2000 01 42197·
 2000 02 97190·
 2000 03 73195·
 2000 04 24229·
 2000 05 26259.
 2000 06 58248.
 2000 07 1213.
 2000 08 66243·
 2000 09 44206·
 2000 10 86182·
 2000 11 98191·
 2000 12 75211·
 2001 01  49211.
 2001 02  63213.
 2001 03  78237.
 2001 04  97212·
 2001 05  14222.
 2001 06  95252.
 2001 07  79287·
 2001 08  99263·
 2001 09  40232.
 2001 10  15186·
 2001 11  62202.
 2001 12  75225·
 2002 01 53197·
 2002 02 79198·
 2002 03 17205.
 2002 04 46175·
 2002 05 3199.
 2002 06 68204·
 2002 07 56206·
 2002 08 55206·
 2002 09 66232·
 2002 10 89236·
 2002 11 17225.
 2002 12 71216.
 2003 01  41221·
 2003 02  73218.
 2003 03  63229·
 2003 04  88211·
 2003 05  55202·
 2003 06  78232.
 2003 07  82213·
 2003 08  26217·
 2003 09  57223·
 2003 10  85220.
 2003 11  87191.
 2003 12  29215.
 2004 01 23217.
 2004 02 1221.
 2004 03 15218·
 2004 04 65224.
 2004 05 54213·
 2004 06 57188.
 2004 07 29233·
 2004 08 30211·
 2004 09 74200·
 2004 10 10228·
 2004 11 18224.
 2004 12 41217.
 2005 01  35241·
 2005 02  41223.
 2005 03  94225·
 2005 04  44219.
 2005 05  11227.
 2005 06  58211·
 2005 07  95186.
 2005 08  7161.
 2005 09  3177·
 2005 10  91172·
 2005 11  84211.
 2005 12  25224.
 2006 01 36231.
 2006 02 98243.
 2006 03 50240·
 2006 04 17227·
 2006 05 61237.
 2006 06 60205.
 2006 07 3205·
 2006 08 26199·
 2006 09 53183.
 2006 10 83206·
 2006 11 84199·
 2006 12 22218.
 2007 01  13221·
 2007 02  1235.
 2007 03  54232.
 2007 04  99223·
 2007 05  66214·
 2007 06  68215·
 2007 07  2209.
 2007 08  77189·
 2007 09  62197.
 2007 10  66216.
 2007 11  40214.
 2007 12  98192·
 2008 01 76208.
 2008 02 3194.
 2008 03 6192.
 2008 04 34205·
 2008 05 10203.
 2008 06 11200·
 2008 07 64201·
 2008 08 77192·
 2008 09 88186.
 2008 10 44178·
 2008 11 0178·
 2008 12 46188·
 2009 01  61202·
 2009 02  86219·
 2009 03  28223·
 2009 04  87207·
 2009 05  4197.
 2009 06  43203·
 2009 07  87189.
 2009 08  68223·
 2009 09  18229·
 2009 10  46208.
 2009 11  37195·
 2009 12  83229.
 2010 01 28244.
 2010 02 53245.
 2010 03 69203·
 2010 04 51186.
 2010 05 84178·
 2010 06 44201.
 2010 07 94219.
 2010 08 17234.
 2010 09 62213.
 2010 10 26225·
 2010 11 50204·
 2010 12 49201.
 2011 01  63157.
 2011 02  32192·
 2011 03  1205.
 2011 04  42218.
 2011 05  11204.
 2011 06  18155.
 2011 07  34147.
 2011 08  16134·
 2011 09  57161.
 2011 10  64178·
 2011 11  62216·
 2011 12  13197·
 2012 01 76186.
 2012 02 79195.
 2012 03 22189.
 2012 04 3193·
 2012 05 69187.
 2012 06 94225·
 2012 07 79220·
 2012 08 81171·
 2012 09 61198.
 2012 10 64169.
 2012 11 19187.
 2012 12 65247·
 2013 01  3220.
 2013 02  73213·
 2013 03  56155.
 2013 04  0156.
 2013 05  69142·
 2013 06  26168·
 2013 07  28166.
 2013 08  54173·
 2013 09  61184.
 2013 10  56135.
 2013 11  96159·
 2013 12  23183·
 2014 01 4160.
 2014 02 18166·
 2014 03 51150·
 2014 04 24108·
 2014 05 48155.
 2014 06 95146.
 2014 07 3184·
 2014 08 3194·
 2014 09 68197·
 2014 10 92209·
 2014 11 91206.
 2014 12 28205.
 2015 01  65186·
 2015 02  43160·
 2015 03  79182·
 2015 04  93151·
 2015 05  65198·
 2015 06  3157·
 2015 07  53178.
 2015 08  18169.
 2015 09  17207·
 2015 10  54192·
 2015 11  27201·
 2015 12  47182.
 2016 01 97169·
 2016 02 3152·
 2016 03 38165·
 2016 04 49156.
 2016 05 6192·
 2016 06 81180·
 2016 07 50175·
 2016 08 17183·
 2016 09 68165·
 2016 10 45176.
 2016 11 51156.
 2016 12 72165.
 2017 01  35170·
 2017 02  77163.
 2017 03  52165.
 2017 04  57143.
 2017 05  81137·


 2017 06  83169·
 2017 07  93177.
 2017 08  42188.
 2017 09  7154.
 2017 10  95177·
 2017 11  36161·
 2017 12  20173.
 2018 01 39176.
 2018 02 69148.
 2018 03 69160·
 2018 04 11128.
 2018 05 27110.
 2018 06 87151.
 2018 07 5128·
 2018 08 59166·
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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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