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 Series Title: Employment Level: Sales and Related in 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 9555·
 2012 03 84597·
 2012 02 95592.
 2012 01 15627·
 2011 12  40695·
 2011 11  65627.
 2011 10  92637.
 2011 09  50671·
 2011 08  49596·
 2011 07  58623.
 2011 06  3590·
 2011 05  96550·
 2011 04  88610.
 2011 03  43597·
 2011 02  39657.
 2011 01  97666·
 2010 12 32643·
 2010 11 27633.
 2010 10 40672.
 2010 09 23670·
 2010 08 81703·
 2010 07 43708·
 2010 06 68664·
 2010 05 67583·
 2010 04 60554·
 2010 03 46567·
 2010 02 10563.
 2010 01 49606.
 2009 12  19645·
 2009 11  18615.
 2009 10  81640.
 2009 09  13605.
 2009 08  35656·
 2009 07  66628.
 2009 06  17668·
 2009 05  28677.
 2009 04  8665·
 2009 03  21616.
 2009 02  82613.
 2009 01  88689.
 2008 12 62668.
 2008 11 40693.
 2008 10 64736·
 2008 09 12666·
 2008 08 49659.
 2008 07 5627.
 2008 06 75632·
 2008 05 44573·
 2008 04 44578·
 2008 03 23555·
 2008 02 53533·
 2008 01 55583.
 2007 12  46637.
 2007 11  24636.
 2007 10  62679·
 2007 09  37723.
 2007 08  83652·
 2007 07  66642.
 2007 06  88621.
 2007 05  9597.
 2007 04  3560·
 2007 03  31576·
 2007 02  46590·
 2007 01  17543·
 2006 12 82597.
 2006 11 24614.
 2006 10 72638.
 2006 09 29611·
 2006 08 22567·
 2006 07 78564.
 2006 06 31617·
 2006 05 39648·
 2006 04 46664.
 2006 03 50674.
 2006 02 9670·
 2006 01 67652.
 2005 12  6620.
 2005 11  20618.
 2005 10  19534·
 2005 09  56532·
 2005 08  76502·
 2005 07  95534.
 2005 06  0564·
 2005 05  76587.
 2005 04  58634·
 2005 03  8607.
 2005 02  14586.
 2005 01  21527·
 2004 12 77600·
 2004 11 14576.
 2004 10 50560·
 2004 09 9570.
 2004 08 82519.
 2004 07 96543·
 2004 06 19581.
 2004 05 86543·
 2004 04 50634.
 2004 03 60613.
 2004 02 61637.
 2004 01 20656.
 2003 12  81586.
 2003 11  38613·
 2003 10  37648·
 2003 09  5637.
 2003 08  0642.
 2003 07  86621.
 2003 06  36630·
 2003 05  61635.
 2003 04  58667.
 2003 03  86657.
 2003 02  71658.
 2003 01  32679·
 2002 12 29683·
 2002 11 44649·
 2002 10 80615.
 2002 09 87656.
 2002 08 15670.
 2002 07 93690·
 2002 06 25711.
 2002 05 19694·
 2002 04 41697·
 2002 03 89722·
 2002 02 94711.
 2002 01 49715·
 2001 12  57720·
 2001 11  13640.
 2001 10  1647·
 2001 09  19680·
 2001 08  39647.
 2001 07  73696.
 2001 06  82717.
 2001 05  0726.
 2001 04  86696.
 2001 03  99680.
 2001 02  2763.
 2001 01  86730·
 2000 12 25782.
 2000 11 49770.
 2000 10 47761.
 2000 09 96765.
 2000 08 6838.
 2000 07 4745.
 2000 06 32798.
 2000 05 73760.
 2000 04 3706·
 2000 03 71749.
 2000 02 93810·
 2000 01 87785·
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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 Manufacturing Industry: 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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