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 Series Title: Total At Work in Nondurable Goods Manufacturing Industries, Wage and Salary Workers, Worked 1-34 Hours, for Noneconomic Reasons, Usually Work Part Time: NSA
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 2000 01 56320.
 2000 02 55327·
 2000 03 48339.
 2000 04 70311.
 2000 05 77278·
 2000 06 30254.
 2000 07 92260.
 2000 08 54255·
 2000 09 89308.
 2000 10 28274.
 2000 11 61254·
 2000 12 61259.
 2001 01  43266·
 2001 02  32282·
 2001 03  68267·
 2001 04  37290·
 2001 05  14253.
 2001 06  47249·
 2001 07  53254.
 2001 08  50266·
 2001 09  3270·
 2001 10  5255·
 2001 11  77251.
 2001 12  93274·
 2002 01 34271·
 2002 02 64269.
 2002 03 29256·
 2002 04 87265·
 2002 05 59231·
 2002 06 4252.
 2002 07 20207.
 2002 08 75247·
 2002 09 53228.
 2002 10 32221.
 2002 11 91235·
 2002 12 27212.
 2003 01  15210.
 2003 02  81208·
 2003 03  2255.
 2003 04  36237·
 2003 05  72244·
 2003 06  6273.
 2003 07  42252.
 2003 08  22278.
 2003 09  74243·
 2003 10  89252.
 2003 11  25223.
 2003 12  29159.
 2004 01 96225.
 2004 02 37193.
 2004 03 87240.
 2004 04 27242.
 2004 05 39218.
 2004 06 82236.
 2004 07 91192.
 2004 08 8202·
 2004 09 28204·
 2004 10 80202·
 2004 11 27212·
 2004 12 93209·
 2005 01  13211·
 2005 02  12258·
 2005 03  6263.
 2005 04  25257.
 2005 05  70279.
 2005 06  86290.
 2005 07  66248·
 2005 08  74220.
 2005 09  99238.
 2005 10  34236.
 2005 11  71227.
 2005 12  33185.
 2006 01 26222.
 2006 02 10222·
 2006 03 7217·
 2006 04 23179.
 2006 05 1232·
 2006 06 99217.
 2006 07 89179·
 2006 08 86242·
 2006 09 99219·
 2006 10 5232.
 2006 11 54254·
 2006 12 93234·
 2007 01  21210.
 2007 02  61208.
 2007 03  64193.
 2007 04  37248.
 2007 05  92248·
 2007 06  23235.
 2007 07  8201·
 2007 08  38202.
 2007 09  63199·
 2007 10  73208·
 2007 11  99250·
 2007 12  39230.
 2008 01 8228.
 2008 02 18231·
 2008 03 75234·
 2008 04 10231·
 2008 05 29232·
 2008 06 88207.
 2008 07 97250.
 2008 08 45261·
 2008 09 51207·
 2008 10 42212·
 2008 11 55237·
 2008 12 63179·
 2009 01  23199.
 2009 02  60189.
 2009 03  62214.
 2009 04  8216.
 2009 05  23271·
 2009 06  49248.
 2009 07  54202.
 2009 08  49193·
 2009 09  49215·
 2009 10  41200·
 2009 11  95196.
 2009 12  81193·
 2010 01 27160.
 2010 02 93205.
 2010 03 73268.
 2010 04 22270.
 2010 05 8224.
 2010 06 85189·
 2010 07 1178.
 2010 08 18185·
 2010 09 67203·
 2010 10 26199.
 2010 11 16182.
 2010 12 36179·
 2011 01  5175·
 2011 02  45194.
 2011 03  82174·
 2011 04  71219·
 2011 05  46204·
 2011 06  1216·
 2011 07  87192.
 2011 08  42187·
 2011 09  42224.
 2011 10  74186·
 2011 11  42247·
 2011 12  94253.
 2012 01 67231.
 2012 02 71252.
 2012 03 87239·
 2012 04 95245.
 2012 05 22228·
 2012 06 24182.
 2012 07 84186.
 2012 08 39227·
 2012 09 33218·
 2012 10 90265.
 2012 11 21256·
 2012 12 47263·
 2013 01  49230·
 2013 02  50232·
 2013 03  11244.
 2013 04  61259·
 2013 05  47278.
 2013 06  11215.
 2013 07  91210·
 2013 08  51208·
 2013 09  26174·
 2013 10  4200·
 2013 11  26249.
 2013 12  11235·
 2014 01 12225.
 2014 02 86272.
 2014 03 1252·
 2014 04 61240.
 2014 05 55259.
 2014 06 39233.
 2014 07 31242.
 2014 08 44245.
 2014 09 32241.
 2014 10 69283.
 2014 11 54237·
 2014 12 30257·
 2015 01  41199.
 2015 02  9222.
 2015 03  31173.
 2015 04  12182·
 2015 05  9213·
 2015 06  14260.
 2015 07  52216·
 2015 08  10223·
 2015 09  86269.
 2015 10  66257·
 2015 11  29224·
 2015 12  68219·
 2016 01 47257·
 2016 02 73282.
 2016 03 0351·
 2016 04 56323.
 2016 05 93289.
 2016 06 64260·
 2016 07 27269·
 2016 08 66285.
 2016 09 49254.
 2016 10 98248.
 2016 11 99256.
 2016 12 19248.
 2017 01  65214·
 2017 02  56210·


 2017 03  29235.
 2017 04  59209·
 2017 05  17190.
 2017 06  45223·
 2017 07  54193·
 2017 08  54211.
 2017 09  6249.
 2017 10  95199·
 2017 11  37239·
 2017 12  99227.
 2018 01 56248·
 2018 02 65281.
 2018 03 67298.
 2018 04 13274.
 2018 05 18251·
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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 Noneconomic Reasons, Usually Work Part Time: 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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