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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 72129·
 2000 02 54103·
 2000 03 85151.
 2000 04 42111·
 2000 05 2689.
 2000 06 42105.
 2000 07 96112.
 2000 08 23143.
 2000 09 41135·
 2000 10 23129·
 2000 11 2195.
 2000 12 98138.
 2001 01  66163.
 2001 02  77169·
 2001 03  15173·
 2001 04  8147.
 2001 05  77159·
 2001 06  11144.
 2001 07  74152·
 2001 08  25116.
 2001 09  74164·
 2001 10  58167·
 2001 11  41174·
 2001 12  41193·
 2002 01 83208.
 2002 02 73217·
 2002 03 4178·
 2002 04 76154·
 2002 05 53117.
 2002 06 39119.
 2002 07 76112·
 2002 08 74162·
 2002 09 62118·
 2002 10 62130.
 2002 11 95141·
 2002 12 5163.
 2003 01  8226·
 2003 02  74226.
 2003 03  25190·
 2003 04  62182·
 2003 05  17182.
 2003 06  31166·
 2003 07  52179·
 2003 08  64157·
 2003 09  40135·
 2003 10  15175.
 2003 11  89201.
 2003 12  56180·
 2004 01 52223.
 2004 02 32186·
 2004 03 75170.
 2004 04 7157.
 2004 05 53178·
 2004 06 15125·
 2004 07 73150.
 2004 08 11118·
 2004 09 69106.
 2004 10 20167.
 2004 11 70158·
 2004 12 87178.
 2005 01  50182.
 2005 02  28152.
 2005 03  79111·
 2005 04  79134·
 2005 05  72154·
 2005 06  47117.
 2005 07  39137.
 2005 08  57118·
 2005 09  35118·
 2005 10  7124.
 2005 11  11133·
 2005 12  14130.
 2006 01 64161·
 2006 02 66190·
 2006 03 84117·
 2006 04 70125.
 2006 05 1099.
 2006 06 5127.
 2006 07 72106.
 2006 08 69107·
 2006 09 4888·
 2006 10 30140·
 2006 11 10135.
 2006 12 79155.
 2007 01  78162.
 2007 02  74114.
 2007 03  6484.
 2007 04  96127.
 2007 05  26110·
 2007 06  93109.
 2007 07  20126.
 2007 08  38105.
 2007 09  4399.
 2007 10  69101·
 2007 11  91120·
 2007 12  49111.
 2008 01 3136·
 2008 02 8137.
 2008 03 15101.
 2008 04 99134·
 2008 05 8115·
 2008 06 42124·
 2008 07 56108·
 2008 08 81138·
 2008 09 81129.
 2008 10 28208·
 2008 11 1223.
 2008 12 15222·
 2009 01  75267.
 2009 02  47336·
 2009 03  62300·
 2009 04  45305.
 2009 05  64277·
 2009 06  5239·
 2009 07  79312·
 2009 08  41219.
 2009 09  49219.
 2009 10  36264.
 2009 11  13229·
 2009 12  95206.
 2010 01 54202·
 2010 02 94208.
 2010 03 52236·
 2010 04 28221·
 2010 05 31199.
 2010 06 62189·
 2010 07 10201·
 2010 08 83164·
 2010 09 55236·
 2010 10 47153.
 2010 11 25272.
 2010 12 30241.
 2011 01  26205·
 2011 02  79186·
 2011 03  59166.
 2011 04  63212·
 2011 05  70146.
 2011 06  17218·
 2011 07  0226·
 2011 08  0200.
 2011 09  36172·
 2011 10  41197·
 2011 11  61233.
 2011 12  87183.
 2012 01 1197.
 2012 02 57207.
 2012 03 80163.
 2012 04 92244.
 2012 05 65227·
 2012 06 99170·
 2012 07 20157·
 2012 08 9162.
 2012 09 53128.
 2012 10 21166·
 2012 11 68179·
 2012 12 57151·
 2013 01  15139.
 2013 02  7206.
 2013 03  38172.
 2013 04  82145.
 2013 05  28165·
 2013 06  62154.
 2013 07  68137·
 2013 08  51152.
 2013 09  90147.
 2013 10  19175·
 2013 11  20165·
 2013 12  58200.
 2014 01 29152·
 2014 02 33153.
 2014 03 82154.
 2014 04 24173.
 2014 05 93151.
 2014 06 86165.
 2014 07 68136·
 2014 08 93169.
 2014 09 59139·
 2014 10 86123.
 2014 11 14177·
 2014 12 32112.
 2015 01  27132.
 2015 02  64145.
 2015 03  85125.
 2015 04  37145.
 2015 05  2299.
 2015 06  76112.
 2015 07  67152·
 2015 08  26119·
 2015 09  95114·
 2015 10  4124·
 2015 11  74164.
 2015 12  45136.
 2016 01 21119.
 2016 02 55130·
 2016 03 44148.
 2016 04 61103·
 2016 05 0109·
 2016 06 60134.
 2016 07 39159·
 2016 08 69101.
 2016 09 58117·
 2016 10 76126.
 2016 11 48107.
 2016 12 8866·
 2017 01  46158.
 2017 02  84154.
 2017 03  83122·
 2017 04  63144.
 2017 05  38124.


 2017 06  9293·
 2017 07  82122·
 2017 08  62107.
 2017 09  3596.
 2017 10  31107.
 2017 11  8108.
 2017 12  79116·
 2018 01 62130.
 2018 02 57120.
 2018 03 5060.
 2018 04 3590·
 2018 05 70103·
 2018 06 53140·
 2018 07 1998.
 2018 08 7292.
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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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