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 Series Title: Employed: Wage and salary workers, Durable goods manufacturing: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 58965.
 2012 03 348862.
 2012 02 248968·
 2012 01 848869.
 2011 12  489094·
 2011 11  498808.
 2011 10  268840·
 2011 09  469074.
 2011 08  568800.
 2011 07  638844.
 2011 06  298960·
 2011 05  78725·
 2011 04  828801·
 2011 03  568711.
 2011 02  468556.
 2011 01  108748·
 2010 12 998740·
 2010 11 378654·
 2010 10 158728·
 2010 09 258782.
 2010 08 108913.
 2010 07 358953·
 2010 06 988714.
 2010 05 478666.
 2010 04 388489·
 2010 03 98246·
 2010 02 838197.
 2010 01 938108.
 2009 12  348198.
 2009 11  398474.
 2009 10  848636·
 2009 09  98630.
 2009 08  748756·
 2009 07  338758·
 2009 06  388620·
 2009 05  648765·
 2009 04  588766·
 2009 03  228731.
 2009 02  99115.
 2009 01  519261·
 2008 12 119729·
 2008 11 6210058·
 2008 10 839999.
 2008 09 8910087·
 2008 08 8510147.
 2008 07 3610176·
 2008 06 7410316·
 2008 05 2410023.
 2008 04 5310198·
 2008 03 4910070·
 2008 02 2010016.
 2008 01 2410077.
 2007 12  1810262·
 2007 11  3410360·
 2007 10  8410214.
 2007 09  8310050·
 2007 08  310037.
 2007 07  4710050·
 2007 06  5310003·
 2007 05  2110317·
 2007 04  6010142.
 2007 03  7010233.
 2007 02  4110229·
 2007 01  819854·
 2006 12 6310166.
 2006 11 99895.
 2006 10 8610178·
 2006 09 3210189.
 2006 08 1410074.
 2006 07 9710262.
 2006 06 4910374.
 2006 05 7010278·
 2006 04 3710392.
 2006 03 8910673·
 2006 02 2010470·
 2006 01 1210507.
 2005 12  8310511·
 2005 11  6710264.
 2005 10  1010136.
 2005 09  310084.
 2005 08  289810.
 2005 07  399969.
 2005 06  5910178.
 2005 05  139985.
 2005 04  7210138.
 2005 03  3510108.
 2005 02  299997.
 2005 01  3410248·
 2004 12 3910279.
 2004 11 1210099.
 2004 10 710069·
 2004 09 8810147·
 2004 08 8110296.
 2004 07 5210047·
 2004 06 710041.
 2004 05 1710065.
 2004 04 7310086.
 2004 03 629931.
 2004 02 6610187·
 2004 01 9010191·
 2003 12  1610427·
 2003 11  7310424.
 2003 10  4810232.
 2003 09  310091.
 2003 08  3410190.
 2003 07  4210034.
 2003 06  4010239·
 2003 05  7410218.
 2003 04  7810262.
 2003 03  5110306·
 2003 02  5510713·
 2003 01  4610702.
 2002 12 2410739.
 2002 11 510582.
 2002 10 3110733.
 2002 09 9110420.
 2002 08 7110484.
 2002 07 3710511·
 2002 06 3110446·
 2002 05 010682.
 2002 04 4610699.
 2002 03 410908.
 2002 02 4310751.
 2002 01 9410737.
 2001 12  9810981·
 2001 11  8710897.
 2001 10  8011174.
 2001 09  1711088.
 2001 08  411147.
 2001 07  9211356.
 2001 06  8011582.
 2001 05  3811749·
 2001 04  6311857.
 2001 03  5211936.
 2001 02  511920.
 2001 01  5111990·
 2000 12 112201.
 2000 11 2312147·
 2000 10 4312126·
 2000 09 7512009·
 2000 08 6812096.
 2000 07 8612032·
 2000 06 812336.
 2000 05 5412421·
 2000 04 4012643·
 2000 03 4812608·
 2000 02 3612471·
 2000 01 5812490.
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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: Employed: Wage and salary workers, Durable goods manufacturing: 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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