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 Series Title: Total At Work in Nondurable Goods Manufacturing Industries, Wage and Salary Workers, Worked 1-34 Hours, for Economic Reasons: NSA
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 2000 01 28129.
 2000 02 56103.
 2000 03 35151·
 2000 04 25111·
 2000 05 989·
 2000 06 72105.
 2000 07 1112·
 2000 08 13143.
 2000 09 6135.
 2000 10 36129·
 2000 11 17195·
 2000 12 49138·
 2001 01  70163.
 2001 02  30169.
 2001 03  97173.
 2001 04  78147·
 2001 05  76159.
 2001 06  61144.
 2001 07  79152.
 2001 08  69116·
 2001 09  24164.
 2001 10  61167·
 2001 11  25174.
 2001 12  16193·
 2002 01 40208·
 2002 02 85217·
 2002 03 24178·
 2002 04 39154.
 2002 05 75117·
 2002 06 17119.
 2002 07 88112·
 2002 08 80162.
 2002 09 3118·
 2002 10 61130·
 2002 11 56141·
 2002 12 11163·
 2003 01  26226·
 2003 02  51226.
 2003 03  89190.
 2003 04  24182.
 2003 05  67182·
 2003 06  42166·
 2003 07  77179·
 2003 08  38157.
 2003 09  79135.
 2003 10  16175·
 2003 11  31201.
 2003 12  99180·
 2004 01 36223.
 2004 02 80186.
 2004 03 91170·
 2004 04 74157.
 2004 05 38178.
 2004 06 66125.
 2004 07 18150·
 2004 08 59118·
 2004 09 12106·
 2004 10 30167·
 2004 11 0158.
 2004 12 73178·
 2005 01  7182.
 2005 02  53152·
 2005 03  52111.
 2005 04  58134·
 2005 05  99154.
 2005 06  43117.
 2005 07  9137.
 2005 08  86118·
 2005 09  88118·
 2005 10  32124.
 2005 11  36133·
 2005 12  49130.
 2006 01 99161·
 2006 02 74190·
 2006 03 20117.
 2006 04 67125·
 2006 05 8499·
 2006 06 54127·
 2006 07 74106·
 2006 08 84107·
 2006 09 1788.
 2006 10 76140.
 2006 11 36135.
 2006 12 69155.
 2007 01  99162·
 2007 02  73114.
 2007 03  6984·
 2007 04  17127·
 2007 05  54110·
 2007 06  1109.
 2007 07  60126·
 2007 08  46105.
 2007 09  3599·
 2007 10  42101.
 2007 11  23120.
 2007 12  1111·
 2008 01 15136·
 2008 02 3137·
 2008 03 96101·
 2008 04 50134·
 2008 05 96115·
 2008 06 15124.
 2008 07 41108.
 2008 08 88138·
 2008 09 2129.
 2008 10 34208·
 2008 11 46223·
 2008 12 35222.
 2009 01  85267·
 2009 02  43336·
 2009 03  25300·
 2009 04  33305.
 2009 05  18277·
 2009 06  49239·
 2009 07  14312.
 2009 08  53219·
 2009 09  4219.
 2009 10  82264·
 2009 11  78229·
 2009 12  89206.
 2010 01 67202.
 2010 02 99208.
 2010 03 3236·
 2010 04 59221.
 2010 05 58199.
 2010 06 83189·
 2010 07 3201.
 2010 08 7164·
 2010 09 52236·
 2010 10 39153.
 2010 11 16272·
 2010 12 4241·
 2011 01  49205.
 2011 02  99186.
 2011 03  4166.
 2011 04  42212·
 2011 05  75146.
 2011 06  21218.
 2011 07  56226·
 2011 08  42200.
 2011 09  81172·
 2011 10  85197·
 2011 11  83233·
 2011 12  47183.
 2012 01 41197·
 2012 02 98207.
 2012 03 26163.
 2012 04 27244·
 2012 05 56227·
 2012 06 93170·
 2012 07 45157·
 2012 08 75162.
 2012 09 51128·
 2012 10 24166.
 2012 11 29179.
 2012 12 11151.
 2013 01  77139·
 2013 02  75206·
 2013 03  91172.
 2013 04  78145.
 2013 05  10165.
 2013 06  52154.
 2013 07  69137·
 2013 08  47152·
 2013 09  49147·
 2013 10  86175.
 2013 11  25165·
 2013 12  11200·
 2014 01 20152.
 2014 02 34153.
 2014 03 48154·
 2014 04 89173.
 2014 05 73151·
 2014 06 78165.
 2014 07 51136.
 2014 08 26169·
 2014 09 84139.
 2014 10 25123.
 2014 11 70177·
 2014 12 90112.
 2015 01  53132.
 2015 02  5145·
 2015 03  70125.
 2015 04  76145.
 2015 05  699.
 2015 06  76112.
 2015 07  38152·
 2015 08  2119.
 2015 09  92114.
 2015 10  20124.
 2015 11  87164.
 2015 12  14136·
 2016 01 88119.
 2016 02 42130·
 2016 03 55148·
 2016 04 80103·
 2016 05 94109.
 2016 06 75134.
 2016 07 5159·
 2016 08 94101.
 2016 09 34117·
 2016 10 75126·
 2016 11 24107.
 2016 12 7666.
 2017 01  61158.
 2017 02  24154·


 2017 03  26122.
 2017 04  69144.
 2017 05  48124.
 2017 06  2893·
 2017 07  48122.
 2017 08  42107·
 2017 09  9696.
 2017 10  20107.
 2017 11  54108.
 2017 12  91116·
 2018 01 31130.
 2018 02 55120.
 2018 03 3160·
 2018 04 3490·
 2018 05 3103·
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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: Total At Work in Nondurable Goods Manufacturing Industries, Wage and Salary Workers, Worked 1-34 Hours, for Economic Reasons: 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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