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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 757107.
 2000 02 707294.
 2000 03 477092·
 2000 04 396831.
 2000 05 56900.
 2000 06 47204.
 2000 07 997193.
 2000 08 827144·
 2000 09 266932·
 2000 10 626746·
 2000 11 786804.
 2000 12 506819.
 2001 01  906844.
 2001 02  246906.
 2001 03  956810.
 2001 04  856648.
 2001 05  706675.
 2001 06  996656.
 2001 07  896533·
 2001 08  566484·
 2001 09  686390.
 2001 10  176275.
 2001 11  226448·
 2001 12  596526.
 2002 01 96452.
 2002 02 356511·
 2002 03 836459·
 2002 04 136346·
 2002 05 436354·
 2002 06 346342.
 2002 07 846232·
 2002 08 606302·
 2002 09 466078·
 2002 10 226022.
 2002 11 646152.
 2002 12 716091.
 2003 01  186223·
 2003 02  306328·
 2003 03  856416·
 2003 04  406482·
 2003 05  856291.
 2003 06  146141·
 2003 07  346196·
 2003 08  866310.
 2003 09  966153·
 2003 10  576258.
 2003 11  266102·
 2003 12  526109.
 2004 01 276129·
 2004 02 656074.
 2004 03 986333.
 2004 04 96139·
 2004 05 806308.
 2004 06 696180·
 2004 07 126050·
 2004 08 495955·
 2004 09 785939·
 2004 10 265745·
 2004 11 575783·
 2004 12 935896.
 2005 01  725668.
 2005 02  185804.
 2005 03  455786.
 2005 04  855780.
 2005 05  395864·
 2005 06  515946.
 2005 07  145963·
 2005 08  935954·
 2005 09  775798.
 2005 10  585752·
 2005 11  285646.
 2005 12  125639·
 2006 01 145796.
 2006 02 945710.
 2006 03 745858·
 2006 04 615578·
 2006 05 985666·
 2006 06 425799·
 2006 07 655705·
 2006 08 845962·
 2006 09 55893·
 2006 10 75830.
 2006 11 405736.
 2006 12 505577·
 2007 01  375724·
 2007 02  225677.
 2007 03  595693.
 2007 04  545652·
 2007 05  175654·
 2007 06  445722·
 2007 07  136021·
 2007 08  145954.
 2007 09  975946·
 2007 10  535934·
 2007 11  135788·
 2007 12  745864·
 2008 01 525580.
 2008 02 575653.
 2008 03 985689·
 2008 04 45522·
 2008 05 825629.
 2008 06 885527·
 2008 07 305696.
 2008 08 995744.
 2008 09 135560·
 2008 10 15458.
 2008 11 985194.
 2008 12 764926·
 2009 01  954833.
 2009 02  785010·
 2009 03  135135·
 2009 04  805185·
 2009 05  45308·
 2009 06  275436.
 2009 07  155420·
 2009 08  815315·
 2009 09  395384.
 2009 10  785056·
 2009 11  654866.
 2009 12  724797.
 2010 01 274825.
 2010 02 895035·
 2010 03 535080·
 2010 04 735178.
 2010 05 175201.
 2010 06 415158·
 2010 07 905201.
 2010 08 285107·
 2010 09 865243·
 2010 10 405424·
 2010 11 155357·
 2010 12 55305·
 2011 01  335127·
 2011 02  195195.
 2011 03  905059.
 2011 04  05234.
 2011 05  835054.
 2011 06  345042·
 2011 07  45207·
 2011 08  305221·
 2011 09  885291·
 2011 10  675578.
 2011 11  695455.
 2011 12  415275·
 2012 01 235181·
 2012 02 235156·
 2012 03 235364.
 2012 04 25336.
 2012 05 885458.
 2012 06 365348·
 2012 07 295434·
 2012 08 65302·
 2012 09 85197.
 2012 10 615397·
 2012 11 765312·
 2012 12 725302.
 2013 01  335220·
 2013 02  805298.
 2013 03  755295.
 2013 04  465300·
 2013 05  405519·
 2013 06  05484·
 2013 07  655444.
 2013 08  955395·
 2013 09  295429.
 2013 10  535235.
 2013 11  85423.
 2013 12  155372.
 2014 01 245369·
 2014 02 955290.
 2014 03 935358.
 2014 04 245402·
 2014 05 775383·
 2014 06 75622·
 2014 07 335562.
 2014 08 675632.
 2014 09 635619·
 2014 10 975580.
 2014 11 655370·
 2014 12 125266.
 2015 01  825404·
 2015 02  955380·
 2015 03  525338.
 2015 04  535397·
 2015 05  595187.
 2015 06  605441·
 2015 07  825600·
 2015 08  115732.
 2015 09  455746.
 2015 10  725678.
 2015 11  685581·
 2015 12  285588·
 2016 01 165574.
 2016 02 375505·
 2016 03 485599·
 2016 04 755468.
 2016 05 715469.
 2016 06 895499.
 2016 07 855602·
 2016 08 455610.
 2016 09 365761·
 2016 10 825844·
 2016 11 665614.
 2016 12 575571·
 2017 01  625472·
 2017 02  995565·
 2017 03  55565.
 2017 04  565774·
 2017 05  235637.
 2017 06  475639·


 2017 07  405574·
 2017 08  115432.
 2017 09  215507.
 2017 10  575652.
 2017 11  325749·
 2017 12  155578·
 2018 01 815423.
 2018 02 865610.
 2018 03 715636.
 2018 04 895780.
 2018 05 535749·
 2018 06 155804·
 2018 07 695570.
 2018 08 755472.
 2018 09 125449.
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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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