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 Series Title: Employed: Wage and salary workers, Nondurable goods manufacturing: 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 257107.
 2000 02 977294.
 2000 03 507092·
 2000 04 866831.
 2000 05 336900.
 2000 06 207204.
 2000 07 777193.
 2000 08 657144·
 2000 09 266932.
 2000 10 606746·
 2000 11 236804.
 2000 12 616819.
 2001 01  556844·
 2001 02  986906·
 2001 03  36810·
 2001 04  196648.
 2001 05  946675.
 2001 06  436656·
 2001 07  526533·
 2001 08  86484.
 2001 09  456390.
 2001 10  246275·
 2001 11  356448·
 2001 12  216526.
 2002 01 326452.
 2002 02 996511.
 2002 03 396459·
 2002 04 796346.
 2002 05 66354.
 2002 06 506342.
 2002 07 786232·
 2002 08 246302.
 2002 09 436078.
 2002 10 836022.
 2002 11 886152·
 2002 12 276091.
 2003 01  436223·
 2003 02  296328·
 2003 03  336416·
 2003 04  816482.
 2003 05  306291·
 2003 06  466141.
 2003 07  16196.
 2003 08  66310·
 2003 09  576153.
 2003 10  156258.
 2003 11  56102.
 2003 12  456109·
 2004 01 976129.
 2004 02 426074.
 2004 03 826333·
 2004 04 696139.
 2004 05 526308·
 2004 06 606180·
 2004 07 966050.
 2004 08 705955·
 2004 09 475939.
 2004 10 245745.
 2004 11 345783·
 2004 12 685896·
 2005 01  315668·
 2005 02  175804.
 2005 03  95786·
 2005 04  85780.
 2005 05  825864.
 2005 06  455946·
 2005 07  595963·
 2005 08  575954.
 2005 09  985798·
 2005 10  405752.
 2005 11  485646·
 2005 12  125639.
 2006 01 55796.
 2006 02 595710·
 2006 03 625858.
 2006 04 905578.
 2006 05 555666·
 2006 06 835799.
 2006 07 155705·
 2006 08 365962·
 2006 09 215893·
 2006 10 185830·
 2006 11 455736·
 2006 12 195577·
 2007 01  55724·
 2007 02  975677·
 2007 03  155693.
 2007 04  335652·
 2007 05  325654·
 2007 06  765722·
 2007 07  116021.
 2007 08  975954.
 2007 09  525946.
 2007 10  365934.
 2007 11  495788.
 2007 12  555864·
 2008 01 415580.
 2008 02 855653.
 2008 03 645689.
 2008 04 775522.
 2008 05 995629·
 2008 06 545527.
 2008 07 215696.
 2008 08 575744.
 2008 09 515560·
 2008 10 995458·
 2008 11 65194.
 2008 12 134926·
 2009 01  484833·
 2009 02  35010.
 2009 03  345135.
 2009 04  915185·
 2009 05  665308.
 2009 06  715436.
 2009 07  415420·
 2009 08  585315.
 2009 09  45384.
 2009 10  365056.
 2009 11  914866·
 2009 12  104797·
 2010 01 884825·
 2010 02 545035.
 2010 03 725080.
 2010 04 655178.
 2010 05 685201·
 2010 06 75158·
 2010 07 965201.
 2010 08 675107·
 2010 09 215243·
 2010 10 25424.
 2010 11 25357.
 2010 12 875305·
 2011 01  455127.
 2011 02  695195·
 2011 03  525059.
 2011 04  175234·
 2011 05  675054.
 2011 06  665042.
 2011 07  345207.
 2011 08  765221·
 2011 09  385291·
 2011 10  755578.
 2011 11  615455.
 2011 12  105275.
 2012 01 315181·
 2012 02 15156.
 2012 03 715364.
 2012 04 875336·
 2012 05 485458·
 2012 06 785348.
 2012 07 275434.
 2012 08 25302.
 2012 09 155197·
 2012 10 605397·
 2012 11 165312.
 2012 12 735302·
 2013 01  815220.
 2013 02  305298·
 2013 03  525295.
 2013 04  445300.
 2013 05  215519·
 2013 06  955484·
 2013 07  735444·
 2013 08  855395·
 2013 09  385429·
 2013 10  865235·
 2013 11  415423·
 2013 12  915372·
 2014 01 555369.
 2014 02 605290.
 2014 03 445358·
 2014 04 795402.
 2014 05 235383·
 2014 06 995622.
 2014 07 965562·
 2014 08 945632·
 2014 09 175619.
 2014 10 85580·
 2014 11 345370·
 2014 12 65266.
 2015 01  385404.
 2015 02  215380.
 2015 03  205338·
 2015 04  85397·
 2015 05  125187·
 2015 06  935441.
 2015 07  435600.
 2015 08  205732·
 2015 09  885746·
 2015 10  55678·
 2015 11  175581·
 2015 12  855588.
 2016 01 435574.
 2016 02 665505·
 2016 03 775599.
 2016 04 745468·
 2016 05 765469.
 2016 06 65499·
 2016 07 895602.
 2016 08 795610·
 2016 09 125761.
 2016 10 815844.
 2016 11 385614.
 2016 12 215571.
 2017 01  35472·
 2017 02  755565·


 2017 03  395565.
 2017 04  435774·
 2017 05  245637·
 2017 06  925639·
 2017 07  295574·
 2017 08  145432·
 2017 09  745507.
 2017 10  665652·
 2017 11  725749·
 2017 12  295578·
 2018 01 805423.
 2018 02 525610.
 2018 03 545636·
 2018 04 65780.
 2018 05 925749·
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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: Employed: Wage and salary workers, Nondurable goods manufacturing: 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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