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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 271456.
 2000 02 811511.
 2000 03 501504·
 2000 04 511467.
 2000 05 231478.
 2000 06 71476.
 2000 07 461495·
 2000 08 151442·
 2000 09 661521·
 2000 10 131560.
 2000 11 241563·
 2000 12 581576.
 2001 01  71561·
 2001 02  801595·
 2001 03  971529.
 2001 04  261513·
 2001 05  221476.
 2001 06  151399.
 2001 07  41412.
 2001 08  861403.
 2001 09  101409·
 2001 10  501388.
 2001 11  51437·
 2001 12  341363.
 2002 01 981333·
 2002 02 411345·
 2002 03 911432.
 2002 04 891396.
 2002 05 351454.
 2002 06 701366·
 2002 07 731474.
 2002 08 941505.
 2002 09 971453·
 2002 10 431432·
 2002 11 901394.
 2002 12 191316·
 2003 01  841326·
 2003 02  931425·
 2003 03  41382.
 2003 04  571463.
 2003 05  221410·
 2003 06  751329·
 2003 07  41357.
 2003 08  291452.
 2003 09  611348·
 2003 10  721454·
 2003 11  11445.
 2003 12  781313·
 2004 01 771345.
 2004 02 911305.
 2004 03 351304.
 2004 04 741499.
 2004 05 691415.
 2004 06 621390·
 2004 07 681416.
 2004 08 91395·
 2004 09 641325.
 2004 10 421261·
 2004 11 871265.
 2004 12 51108·
 2005 01  111186.
 2005 02  131175.
 2005 03  61212.
 2005 04  41455.
 2005 05  871533.
 2005 06  821526.
 2005 07  631391.
 2005 08  761347.
 2005 09  911299.
 2005 10  811288.
 2005 11  211280·
 2005 12  151239·
 2006 01 491275.
 2006 02 651327.
 2006 03 661496.
 2006 04 401476·
 2006 05 111408.
 2006 06 171441.
 2006 07 131387.
 2006 08 951319.
 2006 09 521286.
 2006 10 431335.
 2006 11 01283·
 2006 12 501305.
 2007 01  741303·
 2007 02  751327.
 2007 03  881406·
 2007 04  991416·
 2007 05  11424·
 2007 06  701306.
 2007 07  661385.
 2007 08  601390·
 2007 09  841319·
 2007 10  91397·
 2007 11  471251·
 2007 12  781267.
 2008 01 981218·
 2008 02 991307.
 2008 03 691392.
 2008 04 221359.
 2008 05 431425.
 2008 06 711422.
 2008 07 951445.
 2008 08 861418.
 2008 09 461407·
 2008 10 821348·
 2008 11 121235.
 2008 12 901319·
 2009 01  561220·
 2009 02  141149.
 2009 03  341139.
 2009 04  771172·
 2009 05  481176·
 2009 06  731303.
 2009 07  981310.
 2009 08  161200.
 2009 09  241187.
 2009 10  911059.
 2009 11  671097.
 2009 12  31136·
 2010 01 81183·
 2010 02 251140·
 2010 03 291115·
 2010 04 551169.
 2010 05 521187.
 2010 06 571239.
 2010 07 971326·
 2010 08 171291·
 2010 09 291269.
 2010 10 921213.
 2010 11 91297·
 2010 12 581300·
 2011 01  411208·
 2011 02  631165·
 2011 03  281186·
 2011 04  731229·
 2011 05  141127.
 2011 06  261297·
 2011 07  411320.
 2011 08  791291.
 2011 09  971311·
 2011 10  621312.
 2011 11  621225.
 2011 12  231309.
 2012 01 651284.
 2012 02 801261.
 2012 03 291237·
 2012 04 721281.
 2012 05 201331·
 2012 06 91280.
 2012 07 31319·
 2012 08 211339·
 2012 09 871331.
 2012 10 71366·
 2012 11 741357.
 2012 12 891279.
 2013 01  151307.
 2013 02  561248.
 2013 03  541375·
 2013 04  201295.
 2013 05  811323·
 2013 06  621239·
 2013 07  821312.
 2013 08  831345·
 2013 09  851392.
 2013 10  561358.
 2013 11  191397.
 2013 12  731346·
 2014 01 521292·
 2014 02 961245.
 2014 03 531276·
 2014 04 81246.
 2014 05 331232.
 2014 06 631274·
 2014 07 991296.
 2014 08 331341.
 2014 09 31375.
 2014 10 631375·
 2014 11 931318·
 2014 12 171412.
 2015 01  621410·
 2015 02  291416.
 2015 03  981389.
 2015 04  541372·
 2015 05  361294.
 2015 06  171327·
 2015 07  31405.
 2015 08  631312.
 2015 09  751352·
 2015 10  81347·
 2015 11  201231·
 2015 12  881268.
 2016 01 541299.
 2016 02 91346·
 2016 03 871410.
 2016 04 981458.
 2016 05 751358.
 2016 06 521245.
 2016 07 681166·
 2016 08 881140·
 2016 09 621199.
 2016 10 941221.
 2016 11 491286·
 2016 12 771279·
 2017 01  651305.
 2017 02  151432.
 2017 03  441401·
 2017 04  81472·
 2017 05  611408·
 2017 06  241353·
 2017 07  901300·
 2017 08  521278.


 2017 09  491323·
 2017 10  511322·
 2017 11  511435.
 2017 12  11315.
 2018 01 551384.
 2018 02 531463.
 2018 03 151467.
 2018 04 761386.
 2018 05 301395·
 2018 06 111394·
 2018 07 941268.
 2018 08 201336.
 2018 09 481359·
 2018 10 331400.
 2018 11 261462.
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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

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