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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 59129·
 2000 02 22103.
 2000 03 75151.
 2000 04 7111.
 2000 05 3489.
 2000 06 71105.
 2000 07 37112.
 2000 08 81143.
 2000 09 31135.
 2000 10 75129.
 2000 11 57195·
 2000 12 10138·
 2001 01  2163.
 2001 02  15169.
 2001 03  47173·
 2001 04  38147.
 2001 05  21159·
 2001 06  98144.
 2001 07  45152·
 2001 08  34116·
 2001 09  88164.
 2001 10  56167.
 2001 11  14174·
 2001 12  93193·
 2002 01 30208·
 2002 02 45217·
 2002 03 41178·
 2002 04 33154.
 2002 05 97117.
 2002 06 47119·
 2002 07 40112·
 2002 08 99162.
 2002 09 63118.
 2002 10 69130·
 2002 11 49141.
 2002 12 59163·
 2003 01  29226.
 2003 02  42226·
 2003 03  30190.
 2003 04  8182.
 2003 05  22182·
 2003 06  22166·
 2003 07  71179.
 2003 08  66157·
 2003 09  90135·
 2003 10  92175·
 2003 11  86201·
 2003 12  75180·
 2004 01 10223·
 2004 02 58186.
 2004 03 11170·
 2004 04 6157·
 2004 05 82178.
 2004 06 52125·
 2004 07 10150·
 2004 08 52118·
 2004 09 31106.
 2004 10 31167.
 2004 11 72158.
 2004 12 33178·
 2005 01  8182.
 2005 02  75152·
 2005 03  8111.
 2005 04  93134·
 2005 05  87154·
 2005 06  92117·
 2005 07  56137.
 2005 08  0118.
 2005 09  71118·
 2005 10  14124·
 2005 11  81133·
 2005 12  50130.
 2006 01 83161.
 2006 02 96190·
 2006 03 68117·
 2006 04 61125·
 2006 05 7499.
 2006 06 21127.
 2006 07 32106·
 2006 08 77107.
 2006 09 2088.
 2006 10 96140.
 2006 11 10135.
 2006 12 67155.
 2007 01  21162.
 2007 02  51114·
 2007 03  6584.
 2007 04  26127·
 2007 05  2110.
 2007 06  43109·
 2007 07  85126.
 2007 08  73105.
 2007 09  1499.
 2007 10  55101.
 2007 11  83120·
 2007 12  52111.
 2008 01 32136·
 2008 02 93137.
 2008 03 97101·
 2008 04 31134.
 2008 05 57115.
 2008 06 88124.
 2008 07 89108·
 2008 08 6138·
 2008 09 14129.
 2008 10 97208·
 2008 11 48223.
 2008 12 95222·
 2009 01  53267.
 2009 02  2336·
 2009 03  87300.
 2009 04  43305.
 2009 05  50277·
 2009 06  10239.
 2009 07  42312·
 2009 08  18219·
 2009 09  5219·
 2009 10  51264·
 2009 11  78229.
 2009 12  15206.
 2010 01 44202.
 2010 02 83208.
 2010 03 82236.
 2010 04 52221·
 2010 05 17199·
 2010 06 87189·
 2010 07 67201.
 2010 08 75164·
 2010 09 98236.
 2010 10 71153.
 2010 11 71272.
 2010 12 52241·
 2011 01  90205.
 2011 02  64186·
 2011 03  56166.
 2011 04  77212·
 2011 05  17146·
 2011 06  25218·
 2011 07  12226.
 2011 08  69200·
 2011 09  29172·
 2011 10  35197·
 2011 11  49233.
 2011 12  73183.
 2012 01 2197·
 2012 02 1207.
 2012 03 8163·
 2012 04 58244·
 2012 05 36227.
 2012 06 53170·
 2012 07 49157·
 2012 08 17162.
 2012 09 57128.
 2012 10 50166.
 2012 11 62179·
 2012 12 71151·
 2013 01  15139.
 2013 02  71206.
 2013 03  59172·
 2013 04  62145·
 2013 05  85165.
 2013 06  25154·
 2013 07  78137.
 2013 08  61152.
 2013 09  68147·
 2013 10  43175·
 2013 11  82165·
 2013 12  62200·
 2014 01 90152·
 2014 02 80153·
 2014 03 58154·
 2014 04 82173·
 2014 05 0151.
 2014 06 20165·
 2014 07 21136.
 2014 08 68169.
 2014 09 74139·
 2014 10 69123.
 2014 11 6177.
 2014 12 87112.
 2015 01  12132·
 2015 02  57145.
 2015 03  79125.
 2015 04  34145·
 2015 05  4099.
 2015 06  43112·
 2015 07  25152.
 2015 08  29119·
 2015 09  8114·
 2015 10  7124.
 2015 11  59164·
 2015 12  14136·
 2016 01 92119.
 2016 02 57130.
 2016 03 18148.
 2016 04 60103.
 2016 05 92109.
 2016 06 23134.
 2016 07 65159.
 2016 08 61101.
 2016 09 33117·
 2016 10 62126·
 2016 11 88107.
 2016 12 3566.
 2017 01  66158.
 2017 02  57154·
 2017 03  0122.
 2017 04  27144·
 2017 05  66124·
 2017 06  1493.
 2017 07  38122.
 2017 08  6107.


 2017 09  3496·
 2017 10  64107·
 2017 11  66108·
 2017 12  66116.
 2018 01 94130·
 2018 02 64120·
 2018 03 7260.
 2018 04 2690·
 2018 05 98103·
 2018 06 95140.
 2018 07 6798.
 2018 08 3192.
 2018 09 2067.
 2018 10 6583.
 2018 11 92126.
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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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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