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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 70785.
 2000 02 4810.
 2000 03 17749·
 2000 04 56706.
 2000 05 91760·
 2000 06 95798.
 2000 07 42745.
 2000 08 37838.
 2000 09 66765.
 2000 10 71761·
 2000 11 55770.
 2000 12 4782·
 2001 01  45730·
 2001 02  15763.
 2001 03  69680.
 2001 04  2696·
 2001 05  4726·
 2001 06  34717·
 2001 07  22696.
 2001 08  99647.
 2001 09  43680·
 2001 10  58647.
 2001 11  78640·
 2001 12  90720·
 2002 01 87715.
 2002 02 45711.
 2002 03 24722.
 2002 04 93697·
 2002 05 87694·
 2002 06 76711.
 2002 07 72690·
 2002 08 54670·
 2002 09 18656·
 2002 10 58615·
 2002 11 61649·
 2002 12 40683·
 2003 01  81679·
 2003 02  22658.
 2003 03  54657·
 2003 04  46667·
 2003 05  1635·
 2003 06  25630.
 2003 07  38621·
 2003 08  92642·
 2003 09  28637.
 2003 10  49648.
 2003 11  27613·
 2003 12  21586.
 2004 01 38656.
 2004 02 1637.
 2004 03 58613·
 2004 04 3634.
 2004 05 31543.
 2004 06 11581·
 2004 07 94543.
 2004 08 31519.
 2004 09 32570.
 2004 10 38560·
 2004 11 23576·
 2004 12 26600·
 2005 01  92527·
 2005 02  61586·
 2005 03  59607·
 2005 04  30634.
 2005 05  87587·
 2005 06  88564·
 2005 07  38534·
 2005 08  13502.
 2005 09  17532.
 2005 10  51534·
 2005 11  24618·
 2005 12  70620·
 2006 01 6652.
 2006 02 7670.
 2006 03 5674·
 2006 04 19664.
 2006 05 6648.
 2006 06 36617.
 2006 07 93564·
 2006 08 5567.
 2006 09 92611.
 2006 10 45638.
 2006 11 26614.
 2006 12 96597.
 2007 01  64543.
 2007 02  67590·
 2007 03  68576.
 2007 04  87560.
 2007 05  48597·
 2007 06  57621.
 2007 07  7642.
 2007 08  97652·
 2007 09  94723.
 2007 10  98679·
 2007 11  54636·
 2007 12  71637·
 2008 01 77583·
 2008 02 96533.
 2008 03 48555.
 2008 04 76578·
 2008 05 98573.
 2008 06 83632.
 2008 07 52627·
 2008 08 8659.
 2008 09 82666.
 2008 10 15736.
 2008 11 54693·
 2008 12 86668.
 2009 01  80689·
 2009 02  74613.
 2009 03  67616.
 2009 04  53665·
 2009 05  67677.
 2009 06  66668·
 2009 07  28628.
 2009 08  79656.
 2009 09  43605.
 2009 10  24640.
 2009 11  1615·
 2009 12  58645.
 2010 01 34606·
 2010 02 4563·
 2010 03 73567.
 2010 04 9554.
 2010 05 91583·
 2010 06 87664·
 2010 07 57708·
 2010 08 76703·
 2010 09 87670·
 2010 10 81672.
 2010 11 91633.
 2010 12 28643·
 2011 01  25666·
 2011 02  16657·
 2011 03  39597·
 2011 04  61610·
 2011 05  29550.
 2011 06  50590.
 2011 07  87623·
 2011 08  91596·
 2011 09  50671.
 2011 10  64637·
 2011 11  49627.
 2011 12  65695·
 2012 01 63627·
 2012 02 64592.
 2012 03 63597.
 2012 04 51555·
 2012 05 68556.
 2012 06 83604·
 2012 07 91651·
 2012 08 42597·
 2012 09 92720.
 2012 10 77698·
 2012 11 22790·
 2012 12 59817.
 2013 01  83733.
 2013 02  28702·
 2013 03  69660·
 2013 04  45702.
 2013 05  18615·
 2013 06  42603.
 2013 07  68596·
 2013 08  70634.
 2013 09  98706·
 2013 10  51742.
 2013 11  84758.
 2013 12  28681.
 2014 01 47710·
 2014 02 12650.
 2014 03 3645·
 2014 04 37652·
 2014 05 15662.
 2014 06 6645.
 2014 07 40648·
 2014 08 42586.
 2014 09 79568·
 2014 10 39587·
 2014 11 31664·
 2014 12 12661·
 2015 01  39635·
 2015 02  45650·
 2015 03  40637.
 2015 04  42686·
 2015 05  19721.
 2015 06  78649·
 2015 07  55688.
 2015 08  49637.
 2015 09  71635.
 2015 10  21635·
 2015 11  88708·
 2015 12  80672·
 2016 01 70623.
 2016 02 81559·
 2016 03 78567.
 2016 04 1631.
 2016 05 16619.
 2016 06 88654·
 2016 07 87649.
 2016 08 9589·
 2016 09 35680·
 2016 10 1753.
 2016 11 3689.
 2016 12 22661.
 2017 01  76604·
 2017 02  0567·


 2017 03  39549.
 2017 04  83618.
 2017 05  16627.
 2017 06  91618.
 2017 07  33613.
 2017 08  63567.
 2017 09  55629.
 2017 10  8631·
 2017 11  47650.
 2017 12  55618·
 2018 01 18577.
 2018 02 5577·
 2018 03 71611.
 2018 04 79648.
 2018 05 55614·
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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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