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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 608468.
 2000 03 78485·
 2000 04 568415·
 2000 05 998293·
 2000 06 268593.
 2000 07 308434.
 2000 08 358329.
 2000 09 458421·
 2000 10 218405·
 2000 11 858387·
 2000 12 438430.
 2001 01  388298.
 2001 02  288208.
 2001 03  868209·
 2001 04  258082·
 2001 05  558095.
 2001 06  537995.
 2001 07  697742.
 2001 08  517761.
 2001 09  967536·
 2001 10  287524·
 2001 11  987484.
 2001 12  147564·
 2002 01 867407·
 2002 02 97455·
 2002 03 617518·
 2002 04 337311·
 2002 05 757304.
 2002 06 787098.
 2002 07 717142·
 2002 08 537335·
 2002 09 397178·
 2002 10 417383.
 2002 11 657145·
 2002 12 437236.
 2003 01  797166·
 2003 02  307195·
 2003 03  77080·
 2003 04  967197.
 2003 05  197084·
 2003 06  37006.
 2003 07  836995.
 2003 08  337149.
 2003 09  116867.
 2003 10  407138·
 2003 11  87021·
 2003 12  977048·
 2004 01 297091·
 2004 02 487012·
 2004 03 197035.
 2004 04 576973.
 2004 05 736828.
 2004 06 596844.
 2004 07 797012·
 2004 08 76911·
 2004 09 716834.
 2004 10 296642·
 2004 11 766722·
 2004 12 686811.
 2005 01  706839.
 2005 02  406858·
 2005 03  236812·
 2005 04  826929·
 2005 05  486973·
 2005 06  996978.
 2005 07  576818.
 2005 08  186627·
 2005 09  46711.
 2005 10  376670.
 2005 11  426679.
 2005 12  726772·
 2006 01 656866.
 2006 02 116844.
 2006 03 657016·
 2006 04 626758·
 2006 05 796746·
 2006 06 36918·
 2006 07 396817·
 2006 08 336827.
 2006 09 236728·
 2006 10 196788.
 2006 11 36590·
 2006 12 526534.
 2007 01  976652·
 2007 02  916789·
 2007 03  187014.
 2007 04  166916.
 2007 05  267000·
 2007 06  766853.
 2007 07  746727.
 2007 08  426741.
 2007 09  616673.
 2007 10  546800.
 2007 11  836804·
 2007 12  756763.
 2008 01 786565.
 2008 02 346556.
 2008 03 826599·
 2008 04 846553.
 2008 05 766477.
 2008 06 466599.
 2008 07 356495·
 2008 08 636442.
 2008 09 816383·
 2008 10 476280·
 2008 11 296202·
 2008 12 316051·
 2009 01  435599.
 2009 02  195535.
 2009 03  785400·
 2009 04  335288·
 2009 05  385326.
 2009 06  685359·
 2009 07  195339.
 2009 08  375452·
 2009 09  665452.
 2009 10  265242.
 2009 11  165233·
 2009 12  385034·
 2010 01 534996·
 2010 02 505137·
 2010 03 555323.
 2010 04 555547·
 2010 05 485645·
 2010 06 215742.
 2010 07 515678·
 2010 08 325664·
 2010 09 285601·
 2010 10 465670.
 2010 11 405694·
 2010 12 385779.
 2011 01  935557·
 2011 02  565554·
 2011 03  865659·
 2011 04  685726.
 2011 05  675718.
 2011 06  95664.
 2011 07  775626.
 2011 08  395643.
 2011 09  25677.
 2011 10  865806.
 2011 11  255722.
 2011 12  985857·
 2012 01 735734·
 2012 02 935750·
 2012 03 695889·
 2012 04 125786·
 2012 05 815937·
 2012 06 635884·
 2012 07 715967·
 2012 08 755936·
 2012 09 505770.
 2012 10 515934.
 2012 11 205913.
 2012 12 85806·
 2013 01  315817·
 2013 02  395714·
 2013 03  275782.
 2013 04  545580.
 2013 05  995857.
 2013 06  355685·
 2013 07  325971.
 2013 08  826017·
 2013 09  556043.
 2013 10  695983·
 2013 11  966102·
 2013 12  876148·
 2014 01 256045·
 2014 02 996024.
 2014 03 85926·
 2014 04 875907.
 2014 05 585990·
 2014 06 56243·
 2014 07 816134.
 2014 08 276161·
 2014 09 306152·
 2014 10 966067.
 2014 11 525881·
 2014 12 756006·
 2015 01  415930·
 2015 02  15911.
 2015 03  856136.
 2015 04  276047.
 2015 05  176014.
 2015 06  786078·
 2015 07  676154.
 2015 08  16238.
 2015 09  96287.
 2015 10  96249.
 2015 11  125940.
 2015 12  415882.
 2016 01 915931·
 2016 02 15979·
 2016 03 566394.
 2016 04 166405·
 2016 05 646319.
 2016 06 846182·
 2016 07 645993·
 2016 08 215975.
 2016 09 536009.
 2016 10 156129.
 2016 11 225919·
 2016 12 745936·
 2017 01  95759.
 2017 02  775926.
 2017 03  446021·
 2017 04  216197.
 2017 05  76368.
 2017 06  756275·
 2017 07  686244·
 2017 08  295885·


 2017 09  475850.
 2017 10  426120·
 2017 11  576214·
 2017 12  936078·
 2018 01 565990.
 2018 02 336103·
 2018 03 986161.
 2018 04 336108.
 2018 05 836282·
 2018 06 326112.
 2018 07 45953.
 2018 08 926058.
 2018 09 35972·
 2018 10 436230·
 2018 11 146135.
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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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