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 Series Title: Persons At Work in Durable Goods Manufacturing Industries, Wage and Salary Workers: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 658779.
 2012 03 678685.
 2012 02 138837·
 2012 01 388709·
 2011 12  988940.
 2011 11  548631.
 2011 10  698697.
 2011 09  348859·
 2011 08  238519.
 2011 07  658477.
 2011 06  518733·
 2011 05  558526·
 2011 04  898632·
 2011 03  818580.
 2011 02  718390·
 2011 01  438591·
 2010 12 738568·
 2010 11 98524·
 2010 10 688550·
 2010 09 688629·
 2010 08 748597·
 2010 07 808625.
 2010 06 58517.
 2010 05 248518·
 2010 04 188336·
 2010 03 518112·
 2010 02 698048.
 2010 01 307984.
 2009 12  558028.
 2009 11  38305.
 2009 10  738445·
 2009 09  318377.
 2009 08  618463.
 2009 07  448375·
 2009 06  568342·
 2009 05  958593·
 2009 04  368554·
 2009 03  58588.
 2009 02  798978·
 2009 01  179073·
 2008 12 69528·
 2008 11 439840.
 2008 10 329770·
 2008 09 169880.
 2008 08 209806.
 2008 07 399617·
 2008 06 2710044.
 2008 05 359790·
 2008 04 559967·
 2008 03 999867.
 2008 02 29820·
 2008 01 459892.
 2007 12  1010105.
 2007 11  5610146·
 2007 10  199967.
 2007 09  399809.
 2007 08  129649.
 2007 07  679519.
 2007 06  679717.
 2007 05  3610115.
 2007 04  99853.
 2007 03  129941·
 2007 02  5810005.
 2007 01  819661.
 2006 12 799943.
 2006 11 989710·
 2006 10 319950·
 2006 09 429921·
 2006 08 219705·
 2006 07 589752·
 2006 06 4810102.
 2006 05 1410034.
 2006 04 6010130.
 2006 03 4710403.
 2006 02 9710256·
 2006 01 1610307.
 2005 12  4710302·
 2005 11  4810052·
 2005 10  929920·
 2005 09  929828.
 2005 08  589461.
 2005 07  679392.
 2005 06  699863·
 2005 05  119745.
 2005 04  929912·
 2005 03  359887·
 2005 02  929805.
 2005 01  6810015·
 2004 12 7610076.
 2004 11 109889.
 2004 10 489806.
 2004 09 819940.
 2004 08 599886.
 2004 07 729499·
 2004 06 529681·
 2004 05 959825·
 2004 04 179827.
 2004 03 299678.
 2004 02 409971·
 2004 01 789982.
 2003 12  5010201.
 2003 11  1310193·
 2003 10  759948·
 2003 09  269810·
 2003 08  849809.
 2003 07  799291.
 2003 06  459931·
 2003 05  569981.
 2003 04  7010020.
 2003 03  1010095·
 2003 02  6410434·
 2003 01  1310475·
 2002 12 8110447.
 2002 11 1110364·
 2002 10 6910477.
 2002 09 6710130·
 2002 08 2010111·
 2002 07 169858.
 2002 06 2310151.
 2002 05 1210406.
 2002 04 1110473.
 2002 03 8010622·
 2002 02 1310548·
 2002 01 6610534.
 2001 12  410777·
 2001 11  8510597·
 2001 10  5310862·
 2001 09  7310783.
 2001 08  7610697·
 2001 07  3710605·
 2001 06  8111209.
 2001 05  411511.
 2001 04  2611466.
 2001 03  6911688.
 2001 02  6011677.
 2001 01  5111684·
 2000 12 8011936·
 2000 11 3711789.
 2000 10 7711822·
 2000 09 3511684.
 2000 08 8811535·
 2000 07 2311283.
 2000 06 4511911.
 2000 05 9912118·
 2000 04 2612345·
 2000 03 3312312.
 2000 02 212192.
 2000 01 1312222.
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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: Persons At Work in Durable Goods Manufacturing Industries, Wage and Salary Workers: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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