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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 62320·
 2000 02 97327·
 2000 03 55339.
 2000 04 78311·
 2000 05 30278.
 2000 06 76254.
 2000 07 86260·
 2000 08 58255.
 2000 09 70308·
 2000 10 60274·
 2000 11 24254·
 2000 12 42259.
 2001 01  34266·
 2001 02  31282·
 2001 03  82267.
 2001 04  76290.
 2001 05  95253·
 2001 06  95249.
 2001 07  98254·
 2001 08  27266·
 2001 09  56270·
 2001 10  83255·
 2001 11  34251·
 2001 12  91274·
 2002 01 41271.
 2002 02 52269.
 2002 03 80256.
 2002 04 87265.
 2002 05 0231·
 2002 06 85252·
 2002 07 47207·
 2002 08 58247·
 2002 09 9228·
 2002 10 87221·
 2002 11 73235.
 2002 12 74212.
 2003 01  69210·
 2003 02  90208·
 2003 03  22255.
 2003 04  29237.
 2003 05  4244·
 2003 06  51273.
 2003 07  81252·
 2003 08  41278.
 2003 09  66243.
 2003 10  52252.
 2003 11  64223·
 2003 12  56159·
 2004 01 28225·
 2004 02 99193.
 2004 03 7240.
 2004 04 43242·
 2004 05 93218·
 2004 06 23236.
 2004 07 75192·
 2004 08 94202·
 2004 09 85204.
 2004 10 82202·
 2004 11 54212·
 2004 12 31209·
 2005 01  55211.
 2005 02  57258.
 2005 03  58263·
 2005 04  96257.
 2005 05  78279.
 2005 06  54290·
 2005 07  24248·
 2005 08  59220·
 2005 09  54238·
 2005 10  6236.
 2005 11  17227·
 2005 12  14185·
 2006 01 9222.
 2006 02 69222·
 2006 03 22217.
 2006 04 80179.
 2006 05 93232.
 2006 06 25217.
 2006 07 54179.
 2006 08 2242.
 2006 09 82219.
 2006 10 79232.
 2006 11 50254·
 2006 12 47234·
 2007 01  76210·
 2007 02  65208·
 2007 03  73193.
 2007 04  12248·
 2007 05  0248.
 2007 06  38235·
 2007 07  11201·
 2007 08  14202·
 2007 09  5199.
 2007 10  81208·
 2007 11  77250.
 2007 12  98230.
 2008 01 67228.
 2008 02 99231.
 2008 03 9234.
 2008 04 33231.
 2008 05 84232.
 2008 06 24207.
 2008 07 69250·
 2008 08 14261.
 2008 09 84207.
 2008 10 14212.
 2008 11 46237·
 2008 12 58179.
 2009 01  16199.
 2009 02  49189·
 2009 03  52214·
 2009 04  11216·
 2009 05  56271·
 2009 06  37248·
 2009 07  26202·
 2009 08  42193·
 2009 09  4215.
 2009 10  9200.
 2009 11  30196·
 2009 12  44193·
 2010 01 86160.
 2010 02 22205.
 2010 03 52268·
 2010 04 37270.
 2010 05 51224.
 2010 06 56189·
 2010 07 5178·
 2010 08 65185·
 2010 09 76203·
 2010 10 20199.
 2010 11 26182.
 2010 12 97179.
 2011 01  61175.
 2011 02  44194·
 2011 03  80174·
 2011 04  28219.
 2011 05  30204.
 2011 06  86216.
 2011 07  53192·
 2011 08  76187·
 2011 09  35224·
 2011 10  26186·
 2011 11  59247·
 2011 12  85253·
 2012 01 51231.
 2012 02 72252·
 2012 03 35239·
 2012 04 26245.
 2012 05 78228.
 2012 06 55182.
 2012 07 45186.
 2012 08 91227.
 2012 09 42218·
 2012 10 32265.
 2012 11 75256·
 2012 12 99263.
 2013 01  93230·
 2013 02  84232.
 2013 03  40244.
 2013 04  97259·
 2013 05  6278.
 2013 06  18215·
 2013 07  77210.
 2013 08  51208·
 2013 09  83174·
 2013 10  66200·
 2013 11  49249·
 2013 12  57235·
 2014 01 47225.
 2014 02 85272.
 2014 03 43252·
 2014 04 33240·
 2014 05 50259·
 2014 06 55233.
 2014 07 74242.
 2014 08 24245·
 2014 09 67241·
 2014 10 84283.
 2014 11 77237.
 2014 12 99257.
 2015 01  98199·
 2015 02  3222.
 2015 03  18173.
 2015 04  51182·
 2015 05  69213·
 2015 06  69260·
 2015 07  82216.
 2015 08  1223·
 2015 09  31269.
 2015 10  64257.
 2015 11  84224·
 2015 12  92219·
 2016 01 58257.
 2016 02 94282·
 2016 03 61351.
 2016 04 94323·
 2016 05 50289·
 2016 06 90260·
 2016 07 76269.
 2016 08 0285.
 2016 09 34254.
 2016 10 10248·
 2016 11 17256.
 2016 12 30248.
 2017 01  60214·
 2017 02  36210.
 2017 03  97235.
 2017 04  27209·
 2017 05  3190·


 2017 06  73223.
 2017 07  53193·
 2017 08  61211.
 2017 09  64249·
 2017 10  53199·
 2017 11  49239·
 2017 12  27227·
 2018 01 67248.
 2018 02 33281.
 2018 03 72298.
 2018 04 43274·
 2018 05 64251.
 2018 06 95232·
 2018 07 36223.
 2018 08 53241·
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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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