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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 69785.
 2000 02 78810·
 2000 03 39749·
 2000 04 10706·
 2000 05 75760·
 2000 06 19798·
 2000 07 29745·
 2000 08 23838.
 2000 09 97765.
 2000 10 8761.
 2000 11 70770.
 2000 12 84782.
 2001 01  86730·
 2001 02  28763.
 2001 03  75680·
 2001 04  38696·
 2001 05  17726.
 2001 06  84717.
 2001 07  82696.
 2001 08  54647·
 2001 09  90680.
 2001 10  8647.
 2001 11  54640.
 2001 12  26720.
 2002 01 31715·
 2002 02 58711.
 2002 03 77722.
 2002 04 73697·
 2002 05 91694·
 2002 06 14711·
 2002 07 67690·
 2002 08 40670.
 2002 09 44656.
 2002 10 83615.
 2002 11 59649·
 2002 12 95683·
 2003 01  92679·
 2003 02  98658.
 2003 03  18657·
 2003 04  33667.
 2003 05  58635.
 2003 06  14630.
 2003 07  30621.
 2003 08  73642·
 2003 09  95637·
 2003 10  13648·
 2003 11  10613·
 2003 12  59586.
 2004 01 77656.
 2004 02 2637.
 2004 03 94613·
 2004 04 59634.
 2004 05 4543.
 2004 06 13581.
 2004 07 46543·
 2004 08 69519.
 2004 09 3570.
 2004 10 2560.
 2004 11 54576·
 2004 12 7600.
 2005 01  23527·
 2005 02  51586.
 2005 03  30607·
 2005 04  18634·
 2005 05  40587.
 2005 06  66564.
 2005 07  13534.
 2005 08  70502·
 2005 09  54532·
 2005 10  79534·
 2005 11  64618·
 2005 12  58620·
 2006 01 90652.
 2006 02 47670.
 2006 03 73674·
 2006 04 2664.
 2006 05 0648.
 2006 06 51617.
 2006 07 52564·
 2006 08 44567·
 2006 09 58611.
 2006 10 98638.
 2006 11 39614.
 2006 12 54597.
 2007 01  65543·
 2007 02  20590.
 2007 03  97576.
 2007 04  27560.
 2007 05  45597.
 2007 06  73621·
 2007 07  14642.
 2007 08  81652·
 2007 09  51723.
 2007 10  39679·
 2007 11  2636·
 2007 12  60637.
 2008 01 56583·
 2008 02 25533·
 2008 03 99555·
 2008 04 35578·
 2008 05 62573·
 2008 06 62632·
 2008 07 69627.
 2008 08 98659.
 2008 09 93666.
 2008 10 6736.
 2008 11 0693.
 2008 12 70668·
 2009 01  1689.
 2009 02  41613.
 2009 03  3616.
 2009 04  93665·
 2009 05  60677·
 2009 06  71668.
 2009 07  18628.
 2009 08  38656·
 2009 09  70605·
 2009 10  29640·
 2009 11  6615·
 2009 12  98645·
 2010 01 58606·
 2010 02 71563·
 2010 03 56567.
 2010 04 93554·
 2010 05 74583.
 2010 06 80664·
 2010 07 82708·
 2010 08 67703·
 2010 09 93670.
 2010 10 61672.
 2010 11 19633·
 2010 12 89643·
 2011 01  15666.
 2011 02  47657.
 2011 03  32597·
 2011 04  52610.
 2011 05  67550·
 2011 06  93590·
 2011 07  9623.
 2011 08  77596·
 2011 09  97671·
 2011 10  82637·
 2011 11  62627.
 2011 12  7695·
 2012 01 82627·
 2012 02 21592.
 2012 03 29597.
 2012 04 12555·
 2012 05 22556·
 2012 06 40604.
 2012 07 73651·
 2012 08 85597.
 2012 09 42720.
 2012 10 97698·
 2012 11 83790·
 2012 12 46817·
 2013 01  93733.
 2013 02  72702·
 2013 03  70660·
 2013 04  38702·
 2013 05  51615.
 2013 06  74603.
 2013 07  72596·
 2013 08  32634·
 2013 09  15706.
 2013 10  33742·
 2013 11  54758.
 2013 12  21681.
 2014 01 11710·
 2014 02 7650·
 2014 03 2645.
 2014 04 24652·
 2014 05 89662.
 2014 06 76645·
 2014 07 29648.
 2014 08 86586·
 2014 09 25568.
 2014 10 47587.
 2014 11 74664·
 2014 12 75661.
 2015 01  19635.
 2015 02  53650·
 2015 03  99637.
 2015 04  86686.
 2015 05  97721·
 2015 06  49649·
 2015 07  92688.
 2015 08  37637·
 2015 09  8635·
 2015 10  17635·
 2015 11  66708·
 2015 12  74672·
 2016 01 29623.
 2016 02 64559·
 2016 03 59567·
 2016 04 65631.
 2016 05 60619.
 2016 06 22654·
 2016 07 33649.
 2016 08 4589·
 2016 09 25680.
 2016 10 47753.
 2016 11 78689·
 2016 12 10661·
 2017 01  77604.
 2017 02  21567.
 2017 03  4549·
 2017 04  28618.
 2017 05  89627.
 2017 06  51618·
 2017 07  52613.
 2017 08  27567·


 2017 09  62629.
 2017 10  67631·
 2017 11  82650·
 2017 12  1618·
 2018 01 22577.
 2018 02 28577·
 2018 03 84611.
 2018 04 68648.
 2018 05 19614·
 2018 06 13603.
 2018 07 70604·
 2018 08 74598.
 2018 09 28598·
 2018 10 31596·
 2018 11 78607.
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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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