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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  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 11785·
 2000 02 17810.
 2000 03 12749·
 2000 04 19706·
 2000 05 83760.
 2000 06 52798·
 2000 07 75745.
 2000 08 33838.
 2000 09 84765·
 2000 10 49761.
 2000 11 2770.
 2000 12 8782.
 2001 01  65730.
 2001 02  88763.
 2001 03  5680·
 2001 04  88696.
 2001 05  0726·
 2001 06  76717.
 2001 07  22696.
 2001 08  42647·
 2001 09  90680·
 2001 10  45647·
 2001 11  16640.
 2001 12  65720·
 2002 01 60715.
 2002 02 52711·
 2002 03 75722·
 2002 04 76697·
 2002 05 61694·
 2002 06 78711.
 2002 07 13690.
 2002 08 19670.
 2002 09 69656.
 2002 10 30615.
 2002 11 65649·
 2002 12 62683·
 2003 01  83679·
 2003 02  39658.
 2003 03  97657·
 2003 04  1667·
 2003 05  29635.
 2003 06  62630·
 2003 07  95621.
 2003 08  54642·
 2003 09  57637·
 2003 10  81648·
 2003 11  72613·
 2003 12  66586.
 2004 01 43656.
 2004 02 3637.
 2004 03 67613·
 2004 04 5634.
 2004 05 87543·
 2004 06 58581·
 2004 07 42543·
 2004 08 66519·
 2004 09 15570.
 2004 10 4560·
 2004 11 85576.
 2004 12 68600·
 2005 01  76527.
 2005 02  22586.
 2005 03  9607.
 2005 04  54634.
 2005 05  47587.
 2005 06  20564·
 2005 07  52534·
 2005 08  95502·
 2005 09  28532.
 2005 10  28534.
 2005 11  76618·
 2005 12  84620.
 2006 01 43652.
 2006 02 3670.
 2006 03 71674·
 2006 04 41664·
 2006 05 45648·
 2006 06 27617.
 2006 07 47564.
 2006 08 9567·
 2006 09 7611·
 2006 10 6638·
 2006 11 45614.
 2006 12 58597.
 2007 01  30543.
 2007 02  73590.
 2007 03  25576.
 2007 04  81560.
 2007 05  40597·
 2007 06  83621·
 2007 07  77642.
 2007 08  99652.
 2007 09  87723.
 2007 10  19679·
 2007 11  13636.
 2007 12  54637·
 2008 01 46583.
 2008 02 87533·
 2008 03 71555.
 2008 04 17578.
 2008 05 18573·
 2008 06 18632·
 2008 07 14627.
 2008 08 82659·
 2008 09 29666·
 2008 10 70736·
 2008 11 30693.
 2008 12 67668.
 2009 01  28689.
 2009 02  24613·
 2009 03  31616.
 2009 04  16665·
 2009 05  91677.
 2009 06  87668·
 2009 07  56628.
 2009 08  0656·
 2009 09  18605·
 2009 10  89640.
 2009 11  67615·
 2009 12  11645·
 2010 01 36606.
 2010 02 89563.
 2010 03 53567.
 2010 04 69554.
 2010 05 93583·
 2010 06 67664.
 2010 07 26708.
 2010 08 19703.
 2010 09 66670·
 2010 10 31672.
 2010 11 24633·
 2010 12 29643.
 2011 01  55666·
 2011 02  11657.
 2011 03  10597.
 2011 04  94610·
 2011 05  85550.
 2011 06  65590.
 2011 07  72623.
 2011 08  32596.
 2011 09  7671·
 2011 10  74637.
 2011 11  23627·
 2011 12  88695.
 2012 01 96627·
 2012 02 44592·
 2012 03 0597.
 2012 04 31555.
 2012 05 53556·
 2012 06 8604.
 2012 07 67651·
 2012 08 55597·
 2012 09 2720.
 2012 10 22698.
 2012 11 12790·
 2012 12 79817·
 2013 01  95733.
 2013 02  68702·
 2013 03  47660.
 2013 04  48702·
 2013 05  7615.
 2013 06  52603·
 2013 07  10596·
 2013 08  30634.
 2013 09  37706·
 2013 10  6742.
 2013 11  64758·
 2013 12  20681·
 2014 01 12710.
 2014 02 86650·
 2014 03 97645·
 2014 04 37652·
 2014 05 82662·
 2014 06 75645.
 2014 07 23648.
 2014 08 24586.
 2014 09 22568·
 2014 10 79587.
 2014 11 78664.
 2014 12 52661·
 2015 01  33635.
 2015 02  29650·
 2015 03  25637.
 2015 04  14686·
 2015 05  40721.
 2015 06  82649·
 2015 07  54688.
 2015 08  29637·
 2015 09  93635.
 2015 10  20635·
 2015 11  76708.
 2015 12  42672·
 2016 01 68623.
 2016 02 50559·
 2016 03 29567·
 2016 04 21631·
 2016 05 65619.
 2016 06 2654·
 2016 07 76649·
 2016 08 61589·
 2016 09 10680·
 2016 10 35753.
 2016 11 6689.
 2016 12 81661·
 2017 01  52604.
 2017 02  28567·
 2017 03  31549.
 2017 04  25618·
 2017 05  69627.


 2017 06  90618·
 2017 07  88613·
 2017 08  62567.
 2017 09  58629·
 2017 10  51631.
 2017 11  42650·
 2017 12  87618.
 2018 01 48577.
 2018 02 69577.
 2018 03 79611.
 2018 04 18648.
 2018 05 86614.
 2018 06 24603·
 2018 07 13604.
 2018 08 99598·
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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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