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 Series Title: Employment Level: Production Occupations, Mexican: 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 341456·
 2000 02 661511.
 2000 03 811504·
 2000 04 21467.
 2000 05 731478.
 2000 06 431476·
 2000 07 621495·
 2000 08 81442.
 2000 09 421521·
 2000 10 821560·
 2000 11 51563·
 2000 12 741576·
 2001 01  891561.
 2001 02  631595·
 2001 03  251529·
 2001 04  471513.
 2001 05  911476.
 2001 06  941399·
 2001 07  601412·
 2001 08  931403·
 2001 09  491409.
 2001 10  51388.
 2001 11  711437.
 2001 12  91363.
 2002 01 861333·
 2002 02 541345.
 2002 03 481432.
 2002 04 121396·
 2002 05 551454·
 2002 06 221366.
 2002 07 21474·
 2002 08 471505.
 2002 09 291453.
 2002 10 161432.
 2002 11 721394.
 2002 12 831316.
 2003 01  101326·
 2003 02  681425.
 2003 03  201382.
 2003 04  141463.
 2003 05  231410.
 2003 06  331329.
 2003 07  361357.
 2003 08  591452.
 2003 09  191348·
 2003 10  941454.
 2003 11  301445.
 2003 12  631313·
 2004 01 721345·
 2004 02 581305·
 2004 03 421304·
 2004 04 941499.
 2004 05 831415.
 2004 06 551390·
 2004 07 341416·
 2004 08 471395.
 2004 09 781325.
 2004 10 441261·
 2004 11 941265·
 2004 12 411108.
 2005 01  71186·
 2005 02  41175.
 2005 03  351212·
 2005 04  201455.
 2005 05  451533.
 2005 06  441526·
 2005 07  961391·
 2005 08  531347.
 2005 09  931299·
 2005 10  941288·
 2005 11  371280.
 2005 12  341239·
 2006 01 761275.
 2006 02 111327·
 2006 03 491496·
 2006 04 831476·
 2006 05 441408·
 2006 06 771441.
 2006 07 431387·
 2006 08 431319.
 2006 09 731286·
 2006 10 991335·
 2006 11 571283.
 2006 12 841305.
 2007 01  641303.
 2007 02  81327.
 2007 03  551406·
 2007 04  01416.
 2007 05  411424·
 2007 06  601306·
 2007 07  241385·
 2007 08  101390·
 2007 09  551319·
 2007 10  381397·
 2007 11  771251.
 2007 12  571267·
 2008 01 821218·
 2008 02 481307.
 2008 03 531392·
 2008 04 131359.
 2008 05 211425.
 2008 06 221422.
 2008 07 131445.
 2008 08 691418.
 2008 09 991407·
 2008 10 161348.
 2008 11 451235.
 2008 12 461319.
 2009 01  651220·
 2009 02  121149·
 2009 03  641139·
 2009 04  881172.
 2009 05  951176.
 2009 06  171303·
 2009 07  61310.
 2009 08  631200·
 2009 09  901187·
 2009 10  621059.
 2009 11  351097.
 2009 12  671136·
 2010 01 741183·
 2010 02 41140.
 2010 03 371115·
 2010 04 181169·
 2010 05 991187·
 2010 06 241239·
 2010 07 281326.
 2010 08 591291.
 2010 09 391269·
 2010 10 301213·
 2010 11 431297.
 2010 12 621300.
 2011 01  951208.
 2011 02  521165·
 2011 03  461186.
 2011 04  181229.
 2011 05  921127.
 2011 06  481297·
 2011 07  251320·
 2011 08  491291.
 2011 09  811311.
 2011 10  991312·
 2011 11  931225.
 2011 12  971309.
 2012 01 381284·
 2012 02 121261·
 2012 03 881237·
 2012 04 321281·
 2012 05 621331·
 2012 06 181280.
 2012 07 721319.
 2012 08 491339·
 2012 09 781331.
 2012 10 741366·
 2012 11 341357.
 2012 12 651279·
 2013 01  381307.
 2013 02  621248.
 2013 03  861375.
 2013 04  261295.
 2013 05  171323·
 2013 06  881239.
 2013 07  661312.
 2013 08  01345.
 2013 09  151392·
 2013 10  841358.
 2013 11  381397·
 2013 12  821346.
 2014 01 571292·
 2014 02 71245.
 2014 03 881276·
 2014 04 911246.
 2014 05 941232.
 2014 06 381274.
 2014 07 311296·
 2014 08 711341.
 2014 09 11375.
 2014 10 841375.
 2014 11 31318.
 2014 12 911412.
 2015 01  791410.
 2015 02  761416·
 2015 03  681389.
 2015 04  451372·
 2015 05  531294.
 2015 06  721327.
 2015 07  131405.
 2015 08  521312·
 2015 09  731352.
 2015 10  521347.
 2015 11  521231·
 2015 12  571268.
 2016 01 161299.
 2016 02 241346.
 2016 03 231410.
 2016 04 281458·
 2016 05 801358·
 2016 06 181245·
 2016 07 881166·
 2016 08 611140·
 2016 09 921199.
 2016 10 931221.
 2016 11 341286·
 2016 12 731279.
 2017 01  21305·
 2017 02  291432.
 2017 03  761401.
 2017 04  91472·
 2017 05  851408·
 2017 06  331353.


 2017 07  511300.
 2017 08  391278·
 2017 09  421323·
 2017 10  361322·
 2017 11  221435.
 2017 12  551315.
 2018 01 981384.
 2018 02 961463·
 2018 03 761467.
 2018 04 781386.
 2018 05 41395.
 2018 06 941394·
 2018 07 271268·
 2018 08 521336·
 2018 09 351359.
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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, Mexican: 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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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