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 Series Title: Employment Level: Sales and Related in Durable Goods Manufacturing Industry: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 28294.
 2012 03 26315.
 2012 02 34311·
 2012 01 68328·
 2011 12  66370.
 2011 11  69316.
 2011 10  23328.
 2011 09  98359·
 2011 08  51319.
 2011 07  92345.
 2011 06  93368.
 2011 05  9340·
 2011 04  35357.
 2011 03  77327·
 2011 02  58346.
 2011 01  44326·
 2010 12 91306·
 2010 11 29309·
 2010 10 56303·
 2010 09 72342.
 2010 08 22368·
 2010 07 81361.
 2010 06 51359.
 2010 05 87324.
 2010 04 51298·
 2010 03 89286·
 2010 02 28278.
 2010 01 8300.
 2009 12  31345.
 2009 11  35353·
 2009 10  3355·
 2009 09  81335·
 2009 08  35353·
 2009 07  26333·
 2009 06  12360.
 2009 05  73377.
 2009 04  64358.
 2009 03  93338·
 2009 02  18365·
 2009 01  79422·
 2008 12 44380.
 2008 11 93395·
 2008 10 10382·
 2008 09 18364·
 2008 08 26349·
 2008 07 7328.
 2008 06 0362.
 2008 05 34294·
 2008 04 84276.
 2008 03 42286·
 2008 02 25272·
 2008 01 96323.
 2007 12  18360.
 2007 11  30378·
 2007 10  50398.
 2007 09  99392.
 2007 08  55334.
 2007 07  28326.
 2007 06  62339.
 2007 05  62346·
 2007 04  45308.
 2007 03  17327.
 2007 02  73320·
 2007 01  28291·
 2006 12 62336·
 2006 11 3335.
 2006 10 22371.
 2006 09 67376·
 2006 08 9314·
 2006 07 18321·
 2006 06 72340·
 2006 05 73340.
 2006 04 9356·
 2006 03 20348.
 2006 02 10338·
 2006 01 66344.
 2005 12  13317.
 2005 11  89330.
 2005 10  49283.
 2005 09  88258.
 2005 08  97247.
 2005 07  33261·
 2005 06  28279·
 2005 05  11289·
 2005 04  60292·
 2005 03  82317.
 2005 02  8310.
 2005 01  26266·
 2004 12 30303·
 2004 11 94293·
 2004 10 79289.
 2004 09 55305·
 2004 08 55301.
 2004 07 50288·
 2004 06 52305·
 2004 05 40283.
 2004 04 11341.
 2004 03 57318·
 2004 02 66319.
 2004 01 51297.
 2003 12  99291·
 2003 11  46329·
 2003 10  84329.
 2003 09  83323·
 2003 08  43306·
 2003 07  74277·
 2003 06  93300·
 2003 05  53295·
 2003 04  95338·
 2003 03  23336·
 2003 02  7341·
 2003 01  8340.
 2002 12 30374·
 2002 11 0333.
 2002 10 63318.
 2002 09 14368·
 2002 08 48367.
 2002 07 35365·
 2002 06 24347·
 2002 05 68353.
 2002 04 75334.
 2002 03 86364.
 2002 02 78391·
 2002 01 87406.
 2001 12  60409·
 2001 11  35318.
 2001 10  39304·
 2001 09  16320·
 2001 08  80332.
 2001 07  87378·
 2001 06  43391.
 2001 05  25374·
 2001 04  34392.
 2001 03  75335.
 2001 02  54413·
 2001 01  6422·
 2000 12 49443.
 2000 11 55439·
 2000 10 60413.
 2000 09 80380.
 2000 08 74397·
 2000 07 9377·
 2000 06 73406·
 2000 05 91414.
 2000 04 85379.
 2000 03 44372.
 2000 02 31405·
 2000 01 7391·
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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 Level: Sales and Related in Durable Goods Manufacturing Industry: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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