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 Series Title: Employment: Nonagriculture Private wage and salary workers in Durable goods industry, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 986555.
 2012 03 336487·
 2012 02 256725.
 2012 01 716642.
 2011 12  926812.
 2011 11  96554·
 2011 10  486507·
 2011 09  636732·
 2011 08  896572·
 2011 07  216605·
 2011 06  86778.
 2011 05  906539·
 2011 04  416489.
 2011 03  506446·
 2011 02  206415.
 2011 01  986566.
 2010 12 236566.
 2010 11 36491.
 2010 10 216454·
 2010 09 556475.
 2010 08 346560.
 2010 07 136679·
 2010 06 756488.
 2010 05 566512.
 2010 04 16374·
 2010 03 356175·
 2010 02 686209.
 2010 01 206136.
 2009 12  746147.
 2009 11  516300.
 2009 10  146388·
 2009 09  906360·
 2009 08  286562.
 2009 07  686528·
 2009 06  506420.
 2009 05  376561·
 2009 04  636554·
 2009 03  186531·
 2009 02  416769.
 2009 01  536818·
 2008 12 57129.
 2008 11 567329.
 2008 10 737336.
 2008 09 597420·
 2008 08 57517·
 2008 07 657525·
 2008 06 597558·
 2008 05 987464·
 2008 04 387556·
 2008 03 527435·
 2008 02 387410.
 2008 01 407351·
 2007 12  37559·
 2007 11  487614.
 2007 10  727460·
 2007 09  797440·
 2007 08  277381·
 2007 07  97447·
 2007 06  497407.
 2007 05  337513.
 2007 04  607331·
 2007 03  177438·
 2007 02  827457·
 2007 01  487248.
 2006 12 787561.
 2006 11 807266·
 2006 10 97519·
 2006 09 917546·
 2006 08 807428.
 2006 07 287637.
 2006 06 927625·
 2006 05 587529·
 2006 04 927602·
 2006 03 187772.
 2006 02 217709·
 2006 01 677812.
 2005 12  657731·
 2005 11  337506·
 2005 10  67455·
 2005 09  637394·
 2005 08  737193.
 2005 07  777370·
 2005 06  887530.
 2005 05  157318·
 2005 04  187450·
 2005 03  847493.
 2005 02  277299·
 2005 01  167480·
 2004 12 247534.
 2004 11 107328·
 2004 10 137428.
 2004 09 867506·
 2004 08 437550·
 2004 07 367395·
 2004 06 587401·
 2004 05 707343·
 2004 04 497341.
 2004 03 697203.
 2004 02 07396.
 2004 01 357453.
 2003 12  437586·
 2003 11  417593.
 2003 10  27453.
 2003 09  777330.
 2003 08  497394.
 2003 07  87253·
 2003 06  527393.
 2003 05  157401.
 2003 04  207435.
 2003 03  527444·
 2003 02  627769·
 2003 01  927742·
 2002 12 307813·
 2002 11 807715.
 2002 10 717823·
 2002 09 787711·
 2002 08 787660·
 2002 07 237741.
 2002 06 417691·
 2002 05 677874·
 2002 04 927858.
 2002 03 387958.
 2002 02 617851.
 2002 01 797808.
 2001 12  217984.
 2001 11  67834·
 2001 10  437968·
 2001 09  567963·
 2001 08  408054·
 2001 07  358213.
 2001 06  258289·
 2001 05  698442.
 2001 04  518469·
 2001 03  558575.
 2001 02  708488.
 2001 01  118539·
 2000 12 788614·
 2000 11 248554·
 2000 10 668550.
 2000 09 28378·
 2000 08 718656·
 2000 07 238651.
 2000 06 258787.
 2000 05 868929.
 2000 04 79002.
 2000 03 598989.
 2000 02 878925.
 2000 01 328863·
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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: Employment: Nonagriculture Private wage and salary workers in Durable goods industry, Men: 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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