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 Series Title: Total At Work in Durable Goods Manufacturing Industries, Wage and Salary Workers, Worked 1-34 Hours, for Economic Reasons: NSA
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 2000 01 72118.
 2000 02 63100·
 2000 03 18101·
 2000 04 9297·
 2000 05 61122·
 2000 06 3151.
 2000 07 1133.
 2000 08 64149.
 2000 09 8480·
 2000 10 11119.
 2000 11 53131.
 2000 12 3119.
 2001 01  93250·
 2001 02  68191·
 2001 03  88217·
 2001 04  54172·
 2001 05  63198.
 2001 06  80254.
 2001 07  43180·
 2001 08  86150·
 2001 09  94211.
 2001 10  80251·
 2001 11  81201·
 2001 12  92255·
 2002 01 12210·
 2002 02 23218.
 2002 03 91254.
 2002 04 92175.
 2002 05 67165·
 2002 06 91149·
 2002 07 84162·
 2002 08 31190.
 2002 09 34170.
 2002 10 92198·
 2002 11 0166·
 2002 12 77185·
 2003 01  14201.
 2003 02  56233·
 2003 03  1237·
 2003 04  24175.
 2003 05  32186.
 2003 06  41141·
 2003 07  74156·
 2003 08  91167·
 2003 09  39162.
 2003 10  28143.
 2003 11  34127·
 2003 12  24142.
 2004 01 10170.
 2004 02 23130.
 2004 03 16160·
 2004 04 90132.
 2004 05 45156.
 2004 06 59139·
 2004 07 85145·
 2004 08 84134·
 2004 09 70165.
 2004 10 91138·
 2004 11 29156·
 2004 12 25123.
 2005 01  35140.
 2005 02  2150.
 2005 03  60119·
 2005 04  58116·
 2005 05  16165·
 2005 06  99152.
 2005 07  16162.
 2005 08  51120.
 2005 09  1395·
 2005 10  12104.
 2005 11  5982·
 2005 12  98127.
 2006 01 51156·
 2006 02 98148.
 2006 03 79134·
 2006 04 19102·
 2006 05 81151·
 2006 06 40103.
 2006 07 88109·
 2006 08 58141.
 2006 09 78113·
 2006 10 43149·
 2006 11 23124.
 2006 12 84130·
 2007 01  42155.
 2007 02  40134·
 2007 03  48174·
 2007 04  91150·
 2007 05  99131.
 2007 06  87102·
 2007 07  50126.
 2007 08  98140·
 2007 09  0116·
 2007 10  65123.
 2007 11  43173·
 2007 12  49116.
 2008 01 19188·
 2008 02 82180.
 2008 03 64182.
 2008 04 14192·
 2008 05 58208·
 2008 06 69167.
 2008 07 76194.
 2008 08 87177·
 2008 09 40195·
 2008 10 82270·
 2008 11 67351·
 2008 12 87333·
 2009 01  18476.
 2009 02  4529.
 2009 03  50540.
 2009 04  57492.
 2009 05  66573·
 2009 06  40482.
 2009 07  63414.
 2009 08  67417.
 2009 09  85336·
 2009 10  23313·
 2009 11  69345.
 2009 12  12310·
 2010 01 99323.
 2010 02 9280.
 2010 03 55266·
 2010 04 10256.
 2010 05 60198·
 2010 06 80217.
 2010 07 35241·
 2010 08 5243·
 2010 09 43276·
 2010 10 42223.
 2010 11 46210·
 2010 12 68254·
 2011 01  48269·
 2011 02  28225.
 2011 03  51202.
 2011 04  90195.
 2011 05  1229·
 2011 06  93234.
 2011 07  38227.
 2011 08  93180·
 2011 09  51186·
 2011 10  19198·
 2011 11  21160.
 2011 12  20190.
 2012 01 75205.
 2012 02 14237·
 2012 03 36188·
 2012 04 40157.
 2012 05 73127·
 2012 06 8143·
 2012 07 48152.
 2012 08 47154·
 2012 09 70181·
 2012 10 58186.
 2012 11 43171·
 2012 12 61151·
 2013 01  16204.
 2013 02  47215.
 2013 03  34123·
 2013 04  26152.
 2013 05  87146·
 2013 06  80140.
 2013 07  60150·
 2013 08  10158.
 2013 09  84163.
 2013 10  89166.
 2013 11  84163.
 2013 12  8187.
 2014 01 31169·
 2014 02 31180·
 2014 03 93138·
 2014 04 39109·
 2014 05 80121.
 2014 06 87113.
 2014 07 0127·
 2014 08 48168·
 2014 09 5148·
 2014 10 65145.
 2014 11 43158·
 2014 12 2100·
 2015 01  7146.
 2015 02  95154·
 2015 03  85172·
 2015 04  9888.
 2015 05  11123·
 2015 06  35114·
 2015 07  14110·
 2015 08  52132.
 2015 09  68101.
 2015 10  66135.
 2015 11  42113·
 2015 12  11137.
 2016 01 52158·
 2016 02 94115.
 2016 03 8161·
 2016 04 42120·
 2016 05 66155·
 2016 06 5290·
 2016 07 75136.
 2016 08 40133.
 2016 09 33111·
 2016 10 96119·
 2016 11 30133·
 2016 12 25134·
 2017 01  4139·
 2017 02  7138·
 2017 03  87146·
 2017 04  40107.
 2017 05  55112·


 2017 06  93134.
 2017 07  8295·
 2017 08  5458.
 2017 09  8680.
 2017 10  8460·
 2017 11  8087·
 2017 12  6293·
 2018 01 23130.
 2018 02 38116·
 2018 03 68109·
 2018 04 83110·
 2018 05 15105.
 2018 06 36103·
 2018 07 5862·
 2018 08 6073·
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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 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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