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 Series Title: Total At Work in Durable 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 86343·
 2000 02 11309·
 2000 03 4333·
 2000 04 37322.
 2000 05 6356·
 2000 06 7309.
 2000 07 40282·
 2000 08 36277.
 2000 09 4377.
 2000 10 13408.
 2000 11 90418.
 2000 12 46384.
 2001 01  32394.
 2001 02  12417.
 2001 03  65397.
 2001 04  11324.
 2001 05  65323·
 2001 06  11286·
 2001 07  5286.
 2001 08  1261·
 2001 09  3326.
 2001 10  40349·
 2001 11  72377.
 2001 12  9366.
 2002 01 71309·
 2002 02 57337.
 2002 03 54318·
 2002 04 55318.
 2002 05 20288·
 2002 06 43264·
 2002 07 63219.
 2002 08 83277·
 2002 09 25255.
 2002 10 5261·
 2002 11 39265·
 2002 12 62272.
 2003 01  86246.
 2003 02  75304·
 2003 03  43300.
 2003 04  86260·
 2003 05  30261·
 2003 06  8305·
 2003 07  63253.
 2003 08  74273·
 2003 09  6297·
 2003 10  87331·
 2003 11  14294.
 2003 12  71299.
 2004 01 89269.
 2004 02 19302.
 2004 03 31295·
 2004 04 45292.
 2004 05 81317.
 2004 06 34316·
 2004 07 78275·
 2004 08 91288.
 2004 09 6302·
 2004 10 91253.
 2004 11 44293.
 2004 12 28298.
 2005 01  16249·
 2005 02  69290.
 2005 03  41321.
 2005 04  0335·
 2005 05  84248·
 2005 06  77242.
 2005 07  6262·
 2005 08  76235·
 2005 09  13288·
 2005 10  45315·
 2005 11  4271.
 2005 12  50284.
 2006 01 26295.
 2006 02 30294·
 2006 03 21263·
 2006 04 42279·
 2006 05 75258·
 2006 06 14250.
 2006 07 70253.
 2006 08 95258·
 2006 09 34307·
 2006 10 4333·
 2006 11 90292.
 2006 12 79315·
 2007 01  5321·
 2007 02  30343.
 2007 03  43271·
 2007 04  88287·
 2007 05  13265.
 2007 06  51230.
 2007 07  18260·
 2007 08  40246·
 2007 09  8343·
 2007 10  47313.
 2007 11  26311.
 2007 12  81296·
 2008 01 65301.
 2008 02 25248.
 2008 03 7265.
 2008 04 79311·
 2008 05 84255.
 2008 06 17278.
 2008 07 23257.
 2008 08 29254·
 2008 09 93353·
 2008 10 79350.
 2008 11 61314.
 2008 12 49337.
 2009 01  39328.
 2009 02  93337·
 2009 03  35277·
 2009 04  84315.
 2009 05  0276·
 2009 06  65308.
 2009 07  82312.
 2009 08  2276.
 2009 09  75285·
 2009 10  28283.
 2009 11  66267.
 2009 12  99264.
 2010 01 90233.
 2010 02 38218.
 2010 03 75241.
 2010 04 92223·
 2010 05 95273·
 2010 06 77285.
 2010 07 20276.
 2010 08 27313.
 2010 09 66261·
 2010 10 50251·
 2010 11 41307.
 2010 12 72268·
 2011 01  2275.
 2011 02  91273·
 2011 03  0281.
 2011 04  22286·
 2011 05  30255.
 2011 06  54252·
 2011 07  84269.
 2011 08  95264.
 2011 09  0289.
 2011 10  23290·
 2011 11  8293·
 2011 12  37303.
 2012 01 86277.
 2012 02 4319·
 2012 03 8315.
 2012 04 15284·
 2012 05 91250·
 2012 06 28235.
 2012 07 48229.
 2012 08 24227.
 2012 09 38251.
 2012 10 52276·
 2012 11 15284.
 2012 12 83286.
 2013 01  78266.
 2013 02  58295·
 2013 03  22272.
 2013 04  37207·
 2013 05  87210·
 2013 06  52247.
 2013 07  8264·
 2013 08  55244.
 2013 09  66319.
 2013 10  66280·
 2013 11  35328·
 2013 12  30237.
 2014 01 38230·
 2014 02 57287.
 2014 03 91258.
 2014 04 81285·
 2014 05 56277.
 2014 06 6234·
 2014 07 89292.
 2014 08 54290.
 2014 09 94280.
 2014 10 20279·
 2014 11 67236.
 2014 12 17284.
 2015 01  52252.
 2015 02  30339.
 2015 03  87328.
 2015 04  64303·
 2015 05  56278.
 2015 06  93261·
 2015 07  38251·
 2015 08  14236.
 2015 09  57245.
 2015 10  92284·
 2015 11  33268.
 2015 12  12274·
 2016 01 30298.
 2016 02 31284·
 2016 03 9298.
 2016 04 26249.
 2016 05 75255.
 2016 06 44250.
 2016 07 29258·
 2016 08 52278·
 2016 09 17343·
 2016 10 87376·
 2016 11 81389·
 2016 12 7362·
 2017 01  8309·
 2017 02  41302.
 2017 03  78272.
 2017 04  36309.
 2017 05  21304·
 2017 06  12246·
 2017 07  59283.
 2017 08  8249·


 2017 09  59284·
 2017 10  34342.
 2017 11  85321.
 2017 12  18317.
 2018 01 46266.
 2018 02 62352.
 2018 03 45309·
 2018 04 84289·
 2018 05 32247·
 2018 06 77313·
 2018 07 51284.
 2018 08 51270·
 2018 09 93333·
 2018 10 88351.
 2018 11 42324.
Economagic: Year Chart
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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 Durable 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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