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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 888473·
 2000 02 428468·
 2000 03 718485·
 2000 04 778415·
 2000 05 888293.
 2000 06 328593·
 2000 07 408434·
 2000 08 738329·
 2000 09 738421.
 2000 10 398405.
 2000 11 298387.
 2000 12 868430·
 2001 01  948298.
 2001 02  458208·
 2001 03  508209.
 2001 04  628082·
 2001 05  258095.
 2001 06  567995·
 2001 07  427742·
 2001 08  677761.
 2001 09  687536.
 2001 10  57524·
 2001 11  677484.
 2001 12  987564·
 2002 01 477407.
 2002 02 477455·
 2002 03 137518.
 2002 04 737311.
 2002 05 147304.
 2002 06 657098.
 2002 07 947142·
 2002 08 357335·
 2002 09 437178.
 2002 10 657383·
 2002 11 467145.
 2002 12 557236·
 2003 01  357166.
 2003 02  787195.
 2003 03  347080·
 2003 04  277197.
 2003 05  157084·
 2003 06  627006·
 2003 07  446995.
 2003 08  697149.
 2003 09  336867·
 2003 10  987138.
 2003 11  907021·
 2003 12  257048.
 2004 01 667091·
 2004 02 937012.
 2004 03 97035.
 2004 04 666973.
 2004 05 136828.
 2004 06 786844·
 2004 07 657012·
 2004 08 846911.
 2004 09 06834·
 2004 10 96642.
 2004 11 456722·
 2004 12 996811.
 2005 01  766839.
 2005 02  706858·
 2005 03  636812·
 2005 04  566929.
 2005 05  196973.
 2005 06  656978·
 2005 07  556818.
 2005 08  236627·
 2005 09  276711.
 2005 10  276670.
 2005 11  866679·
 2005 12  956772.
 2006 01 276866.
 2006 02 136844.
 2006 03 427016.
 2006 04 906758.
 2006 05 696746·
 2006 06 46918·
 2006 07 386817.
 2006 08 536827·
 2006 09 276728.
 2006 10 76788.
 2006 11 106590.
 2006 12 536534·
 2007 01  36652·
 2007 02  536789·
 2007 03  217014.
 2007 04  846916·
 2007 05  227000.
 2007 06  996853·
 2007 07  606727.
 2007 08  666741.
 2007 09  356673·
 2007 10  266800·
 2007 11  406804.
 2007 12  416763.
 2008 01 166565.
 2008 02 426556.
 2008 03 976599.
 2008 04 816553·
 2008 05 666477·
 2008 06 786599.
 2008 07 966495·
 2008 08 776442.
 2008 09 106383.
 2008 10 916280.
 2008 11 246202·
 2008 12 516051.
 2009 01  05599·
 2009 02  625535.
 2009 03  945400·
 2009 04  465288·
 2009 05  95326·
 2009 06  975359·
 2009 07  445339.
 2009 08  305452·
 2009 09  405452.
 2009 10  295242·
 2009 11  365233·
 2009 12  995034·
 2010 01 164996.
 2010 02 155137.
 2010 03 595323.
 2010 04 715547.
 2010 05 895645.
 2010 06 355742·
 2010 07 255678.
 2010 08 915664.
 2010 09 335601·
 2010 10 965670.
 2010 11 735694.
 2010 12 275779·
 2011 01  505557·
 2011 02  315554·
 2011 03  655659·
 2011 04  755726·
 2011 05  645718.
 2011 06  955664.
 2011 07  895626·
 2011 08  525643.
 2011 09  265677·
 2011 10  715806.
 2011 11  585722.
 2011 12  35857.
 2012 01 125734.
 2012 02 655750·
 2012 03 105889.
 2012 04 975786.
 2012 05 225937.
 2012 06 85884·
 2012 07 95967.
 2012 08 285936.
 2012 09 805770·
 2012 10 585934.
 2012 11 405913.
 2012 12 175806·
 2013 01  385817·
 2013 02  955714.
 2013 03  195782·
 2013 04  55580·
 2013 05  715857.
 2013 06  285685.
 2013 07  815971.
 2013 08  646017·
 2013 09  806043·
 2013 10  865983·
 2013 11  926102·
 2013 12  866148.
 2014 01 896045·
 2014 02 276024.
 2014 03 375926·
 2014 04 915907·
 2014 05 495990.
 2014 06 336243.
 2014 07 316134·
 2014 08 246161.
 2014 09 366152.
 2014 10 96067·
 2014 11 115881·
 2014 12 536006·
 2015 01  495930·
 2015 02  895911·
 2015 03  396136·
 2015 04  726047·
 2015 05  156014·
 2015 06  286078·
 2015 07  56154·
 2015 08  16238·
 2015 09  846287·
 2015 10  86249.
 2015 11  205940.
 2015 12  845882.
 2016 01 305931.
 2016 02 365979.
 2016 03 236394·
 2016 04 896405·
 2016 05 556319.
 2016 06 436182·
 2016 07 775993·
 2016 08 125975.
 2016 09 846009.
 2016 10 866129.
 2016 11 695919·
 2016 12 715936·
 2017 01  675759.
 2017 02  465926·
 2017 03  126021.
 2017 04  106197·
 2017 05  806368·


 2017 06  316275·
 2017 07  446244·
 2017 08  985885·
 2017 09  235850·
 2017 10  726120·
 2017 11  296214.
 2017 12  306078·
 2018 01 215990·
 2018 02 256103·
 2018 03 536161.
 2018 04 256108·
 2018 05 256282·
 2018 06 726112.
 2018 07 305953.
 2018 08 276058·
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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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