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 Series Title: Total At Work in Durable Goods Manufacturing Industries, Wage and Salary Workers, Worked 35 Hours or More: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 167867·
 2012 03 817672·
 2012 02 687901.
 2012 01 937847.
 2011 12  958072·
 2011 11  157634·
 2011 10  977680.
 2011 09  147915.
 2011 08  217587.
 2011 07  287532.
 2011 06  87838.
 2011 05  157668.
 2011 04  457778·
 2011 03  37696·
 2011 02  147440·
 2011 01  417349.
 2010 12 427617.
 2010 11 467469·
 2010 10 537561.
 2010 09 597712·
 2010 08 137570·
 2010 07 897680.
 2010 06 877626·
 2010 05 657649.
 2010 04 847508.
 2010 03 887260·
 2010 02 66896.
 2010 01 777067.
 2009 12  36977.
 2009 11  247119·
 2009 10  217259.
 2009 09  405233.
 2009 08  487247.
 2009 07  67231·
 2009 06  707098.
 2009 05  237349·
 2009 04  187255.
 2009 03  637406.
 2009 02  177692.
 2009 01  197868.
 2008 12 398421·
 2008 11 548500·
 2008 10 508640·
 2008 09 498825.
 2008 08 618899.
 2008 07 598548.
 2008 06 809076·
 2008 05 568884.
 2008 04 599011·
 2008 03 858924·
 2008 02 478741·
 2008 01 99017·
 2007 12  359196·
 2007 11  639234·
 2007 10  128989·
 2007 09  28938.
 2007 08  128619·
 2007 07  518518.
 2007 06  648933·
 2007 05  569261·
 2007 04  428777.
 2007 03  318964.
 2007 02  168645.
 2007 01  138639.
 2006 12 18967.
 2006 11 88692.
 2006 10 68873.
 2006 09 429057·
 2006 08 888717.
 2006 07 148860·
 2006 06 969211·
 2006 05 399167.
 2006 04 288476.
 2006 03 69430.
 2006 02 759198.
 2006 01 229272.
 2005 12  739320·
 2005 11  669050.
 2005 10  558868·
 2005 09  359015.
 2005 08  978502.
 2005 07  08440.
 2005 06  748969.
 2005 05  488875.
 2005 04  28969.
 2005 03  408992·
 2005 02  958835.
 2005 01  549106·
 2004 12 129092·
 2004 11 428805.
 2004 10 68793·
 2004 09 738833·
 2004 08 778886·
 2004 07 898479.
 2004 06 208701·
 2004 05 498829.
 2004 04 748735.
 2004 03 868766.
 2004 02 759066.
 2004 01 519113.
 2003 12  29184.
 2003 11  669144.
 2003 10  338786.
 2003 09  738854·
 2003 08  888511·
 2003 07  858258·
 2003 06  838978.
 2003 05  358979.
 2003 04  819118.
 2003 03  259052.
 2003 02  379223·
 2003 01  799453·
 2002 12 569256·
 2002 11 929206·
 2002 10 349495·
 2002 09 779227.
 2002 08 158978·
 2002 07 188805.
 2002 06 369136·
 2002 05 219336·
 2002 04 829444.
 2002 03 609485·
 2002 02 319316.
 2002 01 319445.
 2001 12  89597·
 2001 11  999245.
 2001 10  329538·
 2001 09  519535.
 2001 08  689539·
 2001 07  429448.
 2001 06  779938·
 2001 05  5010410.
 2001 04  639158·
 2001 03  2110454·
 2001 02  2810296·
 2001 01  2210407.
 2000 12 1810718.
 2000 11 9110517.
 2000 10 7510530.
 2000 09 8710690·
 2000 08 8410332·
 2000 07 3610132·
 2000 06 2810680·
 2000 05 8811038·
 2000 04 3511262.
 2000 03 6111238.
 2000 02 2811132·
 2000 01 9511080.
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: 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 35 Hours or More: 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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