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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 597107·
 2000 02 187294·
 2000 03 547092·
 2000 04 586831.
 2000 05 436900·
 2000 06 277204.
 2000 07 277193·
 2000 08 917144·
 2000 09 506932.
 2000 10 906746·
 2000 11 566804.
 2000 12 806819·
 2001 01  306844.
 2001 02  896906.
 2001 03  556810.
 2001 04  676648·
 2001 05  586675·
 2001 06  326656·
 2001 07  626533·
 2001 08  236484·
 2001 09  356390.
 2001 10  496275·
 2001 11  406448.
 2001 12  416526.
 2002 01 866452.
 2002 02 976511.
 2002 03 776459.
 2002 04 406346.
 2002 05 626354·
 2002 06 596342·
 2002 07 866232.
 2002 08 656302.
 2002 09 386078.
 2002 10 406022.
 2002 11 46152·
 2002 12 856091.
 2003 01  146223·
 2003 02  726328.
 2003 03  946416.
 2003 04  936482.
 2003 05  156291.
 2003 06  126141·
 2003 07  456196·
 2003 08  106310.
 2003 09  936153.
 2003 10  416258.
 2003 11  686102.
 2003 12  796109.
 2004 01 226129.
 2004 02 676074.
 2004 03 36333·
 2004 04 696139.
 2004 05 46308·
 2004 06 206180·
 2004 07 126050·
 2004 08 755955·
 2004 09 625939·
 2004 10 585745·
 2004 11 835783.
 2004 12 155896.
 2005 01  485668·
 2005 02  625804.
 2005 03  285786.
 2005 04  345780·
 2005 05  375864.
 2005 06  385946.
 2005 07  865963.
 2005 08  15954·
 2005 09  305798·
 2005 10  195752.
 2005 11  205646·
 2005 12  105639.
 2006 01 515796·
 2006 02 615710·
 2006 03 175858·
 2006 04 805578.
 2006 05 525666.
 2006 06 465799·
 2006 07 905705·
 2006 08 565962.
 2006 09 75893.
 2006 10 795830·
 2006 11 775736.
 2006 12 55577·
 2007 01  185724.
 2007 02  945677·
 2007 03  425693.
 2007 04  245652·
 2007 05  85654.
 2007 06  465722·
 2007 07  716021.
 2007 08  305954·
 2007 09  305946.
 2007 10  175934·
 2007 11  795788·
 2007 12  685864.
 2008 01 575580·
 2008 02 145653.
 2008 03 25689·
 2008 04 75522·
 2008 05 925629·
 2008 06 695527·
 2008 07 35696.
 2008 08 415744·
 2008 09 585560.
 2008 10 375458·
 2008 11 725194·
 2008 12 904926·
 2009 01  64833.
 2009 02  25010·
 2009 03  195135·
 2009 04  965185.
 2009 05  135308·
 2009 06  685436.
 2009 07  845420·
 2009 08  315315.
 2009 09  775384·
 2009 10  695056·
 2009 11  304866·
 2009 12  874797·
 2010 01 254825.
 2010 02 605035·
 2010 03 435080·
 2010 04 845178·
 2010 05 75201·
 2010 06 245158·
 2010 07 375201·
 2010 08 665107.
 2010 09 985243.
 2010 10 675424·
 2010 11 505357·
 2010 12 25305·
 2011 01  995127.
 2011 02  205195·
 2011 03  455059·
 2011 04  875234.
 2011 05  355054·
 2011 06  405042.
 2011 07  105207·
 2011 08  385221·
 2011 09  575291.
 2011 10  105578·
 2011 11  575455·
 2011 12  25275·
 2012 01 395181.
 2012 02 345156·
 2012 03 255364.
 2012 04 465336·
 2012 05 835458·
 2012 06 465348·
 2012 07 765434·
 2012 08 655302.
 2012 09 135197·
 2012 10 25397·
 2012 11 985312.
 2012 12 785302.
 2013 01  805220·
 2013 02  835298.
 2013 03  45295·
 2013 04  295300.
 2013 05  605519·
 2013 06  965484·
 2013 07  335444.
 2013 08  875395.
 2013 09  525429.
 2013 10  735235.
 2013 11  465423.
 2013 12  475372·
 2014 01 835369.
 2014 02 705290.
 2014 03 325358·
 2014 04 275402.
 2014 05 35383·
 2014 06 695622.
 2014 07 35562·
 2014 08 725632.
 2014 09 865619.
 2014 10 775580·
 2014 11 985370.
 2014 12 505266.
 2015 01  345404.
 2015 02  255380.
 2015 03  805338·
 2015 04  575397.
 2015 05  715187·
 2015 06  705441·
 2015 07  365600.
 2015 08  115732.
 2015 09  495746.
 2015 10  945678·
 2015 11  795581·
 2015 12  565588·
 2016 01 425574.
 2016 02 35505.
 2016 03 485599.
 2016 04 615468.
 2016 05 515469·
 2016 06 285499·
 2016 07 45602.
 2016 08 215610.
 2016 09 25761·
 2016 10 275844·
 2016 11 365614.
 2016 12 555571·
 2017 01  445472.
 2017 02  815565.
 2017 03  585565.
 2017 04  65774.
 2017 05  545637·
 2017 06  975639.
 2017 07  55574.
 2017 08  445432·
 2017 09  315507·


 2017 10  75652.
 2017 11  435749·
 2017 12  645578.
 2018 01 05423·
 2018 02 665610.
 2018 03 585636·
 2018 04 835780.
 2018 05 135749·
 2018 06 575804·
 2018 07 635570.
 2018 08 475472.
 2018 09 455449.
 2018 10 865480.
 2018 11 965763.
 2018 12 255765·
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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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