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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 88320.
 2000 02 20327.
 2000 03 89339.
 2000 04 35311.
 2000 05 22278.
 2000 06 16254.
 2000 07 86260·
 2000 08 30255·
 2000 09 28308·
 2000 10 15274·
 2000 11 89254.
 2000 12 30259.
 2001 01  57266·
 2001 02  2282.
 2001 03  13267·
 2001 04  79290.
 2001 05  84253.
 2001 06  81249·
 2001 07  94254·
 2001 08  46266.
 2001 09  10270·
 2001 10  85255·
 2001 11  96251·
 2001 12  26274.
 2002 01 61271.
 2002 02 70269.
 2002 03 7256·
 2002 04 37265.
 2002 05 86231·
 2002 06 18252.
 2002 07 40207.
 2002 08 24247·
 2002 09 61228.
 2002 10 36221.
 2002 11 32235·
 2002 12 55212·
 2003 01  86210.
 2003 02  55208·
 2003 03  47255.
 2003 04  26237.
 2003 05  87244·
 2003 06  31273·
 2003 07  72252.
 2003 08  54278.
 2003 09  14243.
 2003 10  48252·
 2003 11  20223.
 2003 12  85159.
 2004 01 42225·
 2004 02 10193.
 2004 03 29240·
 2004 04 87242.
 2004 05 72218.
 2004 06 50236.
 2004 07 62192·
 2004 08 54202·
 2004 09 30204·
 2004 10 25202.
 2004 11 7212·
 2004 12 6209·
 2005 01  65211.
 2005 02  15258·
 2005 03  76263.
 2005 04  87257.
 2005 05  54279·
 2005 06  28290·
 2005 07  8248.
 2005 08  66220·
 2005 09  96238·
 2005 10  96236.
 2005 11  66227.
 2005 12  36185·
 2006 01 16222·
 2006 02 74222.
 2006 03 37217.
 2006 04 18179·
 2006 05 66232.
 2006 06 45217·
 2006 07 35179.
 2006 08 55242.
 2006 09 21219.
 2006 10 16232.
 2006 11 96254.
 2006 12 17234·
 2007 01  80210.
 2007 02  17208.
 2007 03  85193·
 2007 04  97248.
 2007 05  70248·
 2007 06  6235.
 2007 07  89201.
 2007 08  15202.
 2007 09  41199.
 2007 10  64208·
 2007 11  20250.
 2007 12  14230·
 2008 01 68228.
 2008 02 98231·
 2008 03 18234.
 2008 04 65231·
 2008 05 51232·
 2008 06 39207·
 2008 07 44250·
 2008 08 61261·
 2008 09 17207·
 2008 10 44212·
 2008 11 86237.
 2008 12 21179·
 2009 01  14199·
 2009 02  95189·
 2009 03  58214·
 2009 04  90216·
 2009 05  20271·
 2009 06  99248.
 2009 07  97202·
 2009 08  36193·
 2009 09  34215.
 2009 10  86200·
 2009 11  67196.
 2009 12  54193·
 2010 01 81160.
 2010 02 14205·
 2010 03 54268.
 2010 04 63270·
 2010 05 12224·
 2010 06 65189·
 2010 07 73178·
 2010 08 6185·
 2010 09 2203.
 2010 10 44199·
 2010 11 60182.
 2010 12 54179.
 2011 01  52175.
 2011 02  84194.
 2011 03  80174.
 2011 04  0219.
 2011 05  88204.
 2011 06  41216.
 2011 07  18192.
 2011 08  64187·
 2011 09  58224·
 2011 10  97186.
 2011 11  90247.
 2011 12  89253.
 2012 01 40231·
 2012 02 58252·
 2012 03 32239·
 2012 04 45245·
 2012 05 33228.
 2012 06 57182.
 2012 07 7186.
 2012 08 25227.
 2012 09 62218·
 2012 10 49265·
 2012 11 3256.
 2012 12 50263.
 2013 01  79230.
 2013 02  17232·
 2013 03  34244·
 2013 04  63259.
 2013 05  58278·
 2013 06  67215·
 2013 07  36210.
 2013 08  33208.
 2013 09  99174.
 2013 10  31200·
 2013 11  74249·
 2013 12  54235·
 2014 01 29225.
 2014 02 65272·
 2014 03 34252·
 2014 04 46240·
 2014 05 98259·
 2014 06 51233·
 2014 07 30242·
 2014 08 53245.
 2014 09 81241·
 2014 10 95283.
 2014 11 99237·
 2014 12 43257.
 2015 01  78199.
 2015 02  30222.
 2015 03  5173.
 2015 04  11182·
 2015 05  14213.
 2015 06  12260.
 2015 07  35216.
 2015 08  77223·
 2015 09  41269.
 2015 10  22257.
 2015 11  3224·
 2015 12  83219.
 2016 01 34257.
 2016 02 67282·
 2016 03 45351·
 2016 04 1323.
 2016 05 92289.
 2016 06 80260·
 2016 07 26269·
 2016 08 22285.
 2016 09 42254·
 2016 10 15248.
 2016 11 32256.
 2016 12 67248·
 2017 01  33214.
 2017 02  56210.
 2017 03  78235.
 2017 04  81209.
 2017 05  42190·
 2017 06  9223.
 2017 07  0193.
 2017 08  31211.


 2017 09  68249·
 2017 10  5199.
 2017 11  61239.
 2017 12  12227.
 2018 01 37248·
 2018 02 1281·
 2018 03 50298·
 2018 04 43274.
 2018 05 0251·
 2018 06 79232.
 2018 07 80223.
 2018 08 69241·
 2018 09 31268·
 2018 10 45252.
 2018 11 87270·
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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

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