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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 331456·
 2000 02 61511.
 2000 03 851504.
 2000 04 731467.
 2000 05 971478·
 2000 06 851476.
 2000 07 691495·
 2000 08 81442·
 2000 09 461521·
 2000 10 811560.
 2000 11 711563.
 2000 12 611576.
 2001 01  311561.
 2001 02  761595.
 2001 03  71529·
 2001 04  751513.
 2001 05  271476.
 2001 06  771399·
 2001 07  131412·
 2001 08  201403·
 2001 09  331409·
 2001 10  141388·
 2001 11  521437.
 2001 12  901363·
 2002 01 771333.
 2002 02 461345.
 2002 03 121432.
 2002 04 31396.
 2002 05 81454·
 2002 06 531366·
 2002 07 71474·
 2002 08 51505.
 2002 09 11453.
 2002 10 421432·
 2002 11 741394·
 2002 12 641316·
 2003 01  561326·
 2003 02  441425.
 2003 03  751382·
 2003 04  751463·
 2003 05  01410.
 2003 06  171329.
 2003 07  991357.
 2003 08  561452.
 2003 09  831348·
 2003 10  421454.
 2003 11  591445·
 2003 12  511313.
 2004 01 801345·
 2004 02 261305.
 2004 03 931304.
 2004 04 311499·
 2004 05 911415.
 2004 06 01390.
 2004 07 631416.
 2004 08 881395·
 2004 09 421325.
 2004 10 211261·
 2004 11 571265.
 2004 12 431108·
 2005 01  831186.
 2005 02  701175·
 2005 03  881212.
 2005 04  381455.
 2005 05  891533·
 2005 06  541526.
 2005 07  951391.
 2005 08  451347·
 2005 09  621299.
 2005 10  61288·
 2005 11  401280.
 2005 12  551239.
 2006 01 251275.
 2006 02 811327.
 2006 03 101496·
 2006 04 901476.
 2006 05 311408·
 2006 06 611441·
 2006 07 201387·
 2006 08 921319·
 2006 09 541286.
 2006 10 521335·
 2006 11 61283.
 2006 12 311305.
 2007 01  941303.
 2007 02  871327·
 2007 03  311406·
 2007 04  11416.
 2007 05  771424.
 2007 06  221306·
 2007 07  851385·
 2007 08  211390·
 2007 09  531319.
 2007 10  391397·
 2007 11  781251·
 2007 12  361267·
 2008 01 981218.
 2008 02 441307·
 2008 03 501392.
 2008 04 151359.
 2008 05 131425.
 2008 06 691422.
 2008 07 631445.
 2008 08 501418.
 2008 09 211407·
 2008 10 711348.
 2008 11 51235·
 2008 12 631319.
 2009 01  751220.
 2009 02  311149.
 2009 03  881139·
 2009 04  971172·
 2009 05  481176·
 2009 06  551303·
 2009 07  521310.
 2009 08  201200.
 2009 09  431187·
 2009 10  771059·
 2009 11  581097·
 2009 12  281136·
 2010 01 831183·
 2010 02 511140·
 2010 03 951115.
 2010 04 401169.
 2010 05 201187·
 2010 06 601239·
 2010 07 761326·
 2010 08 981291.
 2010 09 281269.
 2010 10 111213.
 2010 11 381297·
 2010 12 741300·
 2011 01  91208·
 2011 02  341165.
 2011 03  441186·
 2011 04  601229.
 2011 05  881127·
 2011 06  881297·
 2011 07  821320·
 2011 08  761291·
 2011 09  141311.
 2011 10  531312·
 2011 11  651225.
 2011 12  661309.
 2012 01 641284·
 2012 02 351261.
 2012 03 321237.
 2012 04 01281.
 2012 05 371331.
 2012 06 681280.
 2012 07 441319.
 2012 08 701339·
 2012 09 601331.
 2012 10 71366·
 2012 11 891357·
 2012 12 971279.
 2013 01  821307.
 2013 02  331248.
 2013 03  821375.
 2013 04  251295·
 2013 05  791323·
 2013 06  541239.
 2013 07  591312·
 2013 08  231345·
 2013 09  511392·
 2013 10  21358.
 2013 11  831397.
 2013 12  841346.
 2014 01 251292.
 2014 02 321245.
 2014 03 431276.
 2014 04 281246·
 2014 05 491232.
 2014 06 271274.
 2014 07 501296.
 2014 08 01341·
 2014 09 01375.
 2014 10 931375.
 2014 11 441318.
 2014 12 681412.
 2015 01  771410.
 2015 02  611416·
 2015 03  871389·
 2015 04  261372·
 2015 05  71294·
 2015 06  891327.
 2015 07  671405.
 2015 08  941312·
 2015 09  401352·
 2015 10  581347·
 2015 11  961231·
 2015 12  161268·
 2016 01 501299.
 2016 02 751346·
 2016 03 131410·
 2016 04 611458.
 2016 05 391358·
 2016 06 711245·
 2016 07 811166·
 2016 08 231140·
 2016 09 321199.
 2016 10 31221·
 2016 11 861286·
 2016 12 201279.
 2017 01  801305·
 2017 02  531432.
 2017 03  441401.
 2017 04  981472·
 2017 05  561408·
 2017 06  271353·
 2017 07  901300.
 2017 08  261278.
 2017 09  631323·
 2017 10  561322·
 2017 11  891435.


 2017 12  971315.
 2018 01 251384·
 2018 02 991463.
 2018 03 271467.
 2018 04 311386·
 2018 05 931395·
 2018 06 351394.
 2018 07 181268·
 2018 08 721336.
 2018 09 421359·
 2018 10 721400.
 2018 11 01462·
 2018 12 891375.
 2019 01  731317·
 2019 02  421463·
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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
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