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 Series Title: Employment Level: Production Occupations 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 518473·
 2000 02 308468.
 2000 03 128485·
 2000 04 858415·
 2000 05 668293·
 2000 06 708593·
 2000 07 158434.
 2000 08 508329·
 2000 09 48421.
 2000 10 648405.
 2000 11 758387·
 2000 12 708430·
 2001 01  158298·
 2001 02  958208.
 2001 03  68209·
 2001 04  888082·
 2001 05  758095·
 2001 06  697995.
 2001 07  447742.
 2001 08  757761·
 2001 09  837536·
 2001 10  177524·
 2001 11  547484·
 2001 12  247564·
 2002 01 657407·
 2002 02 977455·
 2002 03 227518.
 2002 04 557311.
 2002 05 727304·
 2002 06 897098·
 2002 07 627142.
 2002 08 117335·
 2002 09 797178·
 2002 10 27383.
 2002 11 117145·
 2002 12 627236.
 2003 01  867166.
 2003 02  657195·
 2003 03  327080.
 2003 04  27197·
 2003 05  197084.
 2003 06  367006·
 2003 07  146995.
 2003 08  507149·
 2003 09  286867.
 2003 10  977138·
 2003 11  697021.
 2003 12  507048·
 2004 01 897091·
 2004 02 547012.
 2004 03 357035·
 2004 04 726973·
 2004 05 16828.
 2004 06 386844.
 2004 07 757012·
 2004 08 96911·
 2004 09 916834·
 2004 10 76642·
 2004 11 776722.
 2004 12 806811·
 2005 01  86839.
 2005 02  436858.
 2005 03  546812·
 2005 04  306929·
 2005 05  296973.
 2005 06  506978.
 2005 07  436818.
 2005 08  296627.
 2005 09  536711.
 2005 10  626670·
 2005 11  86679.
 2005 12  696772.
 2006 01 56866·
 2006 02 356844.
 2006 03 367016·
 2006 04 706758.
 2006 05 376746.
 2006 06 516918.
 2006 07 416817.
 2006 08 776827.
 2006 09 246728·
 2006 10 166788.
 2006 11 596590.
 2006 12 586534.
 2007 01  656652.
 2007 02  626789.
 2007 03  557014·
 2007 04  86916.
 2007 05  877000·
 2007 06  456853.
 2007 07  166727.
 2007 08  456741·
 2007 09  406673.
 2007 10  486800·
 2007 11  546804.
 2007 12  146763·
 2008 01 996565.
 2008 02 766556.
 2008 03 96599·
 2008 04 846553·
 2008 05 646477·
 2008 06 626599·
 2008 07 426495.
 2008 08 506442.
 2008 09 626383·
 2008 10 626280·
 2008 11 416202.
 2008 12 306051.
 2009 01  425599.
 2009 02  575535.
 2009 03  205400·
 2009 04  685288·
 2009 05  795326·
 2009 06  555359.
 2009 07  175339.
 2009 08  335452.
 2009 09  755452.
 2009 10  875242·
 2009 11  935233·
 2009 12  215034·
 2010 01 544996·
 2010 02 105137·
 2010 03 385323·
 2010 04 495547.
 2010 05 675645.
 2010 06 55742·
 2010 07 635678.
 2010 08 625664.
 2010 09 905601.
 2010 10 785670.
 2010 11 85694·
 2010 12 305779·
 2011 01  225557·
 2011 02  635554.
 2011 03  345659·
 2011 04  455726.
 2011 05  895718·
 2011 06  155664·
 2011 07  305626.
 2011 08  285643·
 2011 09  425677·
 2011 10  155806·
 2011 11  85722.
 2011 12  235857.
 2012 01 565734·
 2012 02 715750.
 2012 03 75889.
 2012 04 985786.
 2012 05 305937·
 2012 06 145884·
 2012 07 895967·
 2012 08 495936·
 2012 09 925770.
 2012 10 15934.
 2012 11 435913.
 2012 12 935806.
 2013 01  905817·
 2013 02  145714.
 2013 03  805782·
 2013 04  755580·
 2013 05  15857.
 2013 06  585685·
 2013 07  405971·
 2013 08  646017.
 2013 09  256043·
 2013 10  665983·
 2013 11  846102.
 2013 12  556148·
 2014 01 876045·
 2014 02 956024·
 2014 03 15926.
 2014 04 675907·
 2014 05 385990·
 2014 06 256243·
 2014 07 46134·
 2014 08 436161·
 2014 09 526152·
 2014 10 646067·
 2014 11 315881·
 2014 12 536006.
 2015 01  315930.
 2015 02  435911·
 2015 03  436136·
 2015 04  916047·
 2015 05  06014·
 2015 06  206078·
 2015 07  316154·
 2015 08  766238·
 2015 09  96287·
 2015 10  756249·
 2015 11  55940.
 2015 12  525882·
 2016 01 345931.
 2016 02 145979·
 2016 03 56394.
 2016 04 896405.
 2016 05 746319.
 2016 06 716182·
 2016 07 925993·
 2016 08 805975.
 2016 09 566009·
 2016 10 26129.
 2016 11 565919.
 2016 12 455936.
 2017 01  295759.
 2017 02  875926.


 2017 03  86021·
 2017 04  276197·
 2017 05  706368·
 2017 06  346275·
 2017 07  876244.
 2017 08  975885.
 2017 09  785850·
 2017 10  756120.
 2017 11  566214.
 2017 12  476078.
 2018 01 795990.
 2018 02 656103.
 2018 03 26161.
 2018 04 986108·
 2018 05 246282·
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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: Production Occupations 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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