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 Series Title: Employment Level: Management, Professional, and Related 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 931464.
 2000 02 731464.
 2000 03 941382·
 2000 04 711343.
 2000 05 451380.
 2000 06 551419.
 2000 07 461385·
 2000 08 911403.
 2000 09 441415·
 2000 10 171367.
 2000 11 801382.
 2000 12 911453·
 2001 01  411410·
 2001 02  401432·
 2001 03  101525.
 2001 04  141494·
 2001 05  121462.
 2001 06  321353·
 2001 07  721473·
 2001 08  311560·
 2001 09  571534.
 2001 10  231567·
 2001 11  301452·
 2001 12  361503·
 2002 01 11476.
 2002 02 701441.
 2002 03 721521.
 2002 04 461513.
 2002 05 941517·
 2002 06 551539·
 2002 07 111462·
 2002 08 81547.
 2002 09 121544.
 2002 10 851572·
 2002 11 841495.
 2002 12 891504·
 2003 01  561656·
 2003 02  911568·
 2003 03  541552·
 2003 04  841504·
 2003 05  501575·
 2003 06  301613.
 2003 07  101528.
 2003 08  121463.
 2003 09  451525.
 2003 10  831538·
 2003 11  641648.
 2003 12  171641.
 2004 01 171481·
 2004 02 571490.
 2004 03 531510.
 2004 04 691547.
 2004 05 661693·
 2004 06 851669.
 2004 07 421673.
 2004 08 611704.
 2004 09 171726.
 2004 10 211681.
 2004 11 181656.
 2004 12 121612.
 2005 01  201537.
 2005 02  491551·
 2005 03  941727·
 2005 04  671749·
 2005 05  521796·
 2005 06  741757·
 2005 07  71669.
 2005 08  961612·
 2005 09  121648.
 2005 10  291709.
 2005 11  201730·
 2005 12  911756·
 2006 01 261802·
 2006 02 701844.
 2006 03 221881.
 2006 04 721781.
 2006 05 451810.
 2006 06 781686.
 2006 07 261729·
 2006 08 841737.
 2006 09 431834.
 2006 10 601856.
 2006 11 681960.
 2006 12 952035·
 2007 01  201961·
 2007 02  491969·
 2007 03  131907·
 2007 04  01903.
 2007 05  41917.
 2007 06  01906·
 2007 07  471893.
 2007 08  171997·
 2007 09  431966.
 2007 10  951974·
 2007 11  851939.
 2007 12  922071.
 2008 01 131956.
 2008 02 401917·
 2008 03 631895.
 2008 04 921929·
 2008 05 151991.
 2008 06 691905·
 2008 07 451903·
 2008 08 131954.
 2008 09 742007.
 2008 10 361998.
 2008 11 182073·
 2008 12 722069·
 2009 01  402028·
 2009 02  242091·
 2009 03  962030.
 2009 04  162060.
 2009 05  892068.
 2009 06  401967.
 2009 07  161943.
 2009 08  111970.
 2009 09  212008·
 2009 10  142085·
 2009 11  412208.
 2009 12  542191.
 2010 01 612236·
 2010 02 52251·
 2010 03 602219·
 2010 04 622072·
 2010 05 612047.
 2010 06 922007.
 2010 07 841799.
 2010 08 811845.
 2010 09 951899·
 2010 10 841984·
 2010 11 521998·
 2010 12 782033.
 2011 01  632060.
 2011 02  112121.
 2011 03  272116·
 2011 04  492077·
 2011 05  921971.
 2011 06  302044·
 2011 07  972015·
 2011 08  122072.
 2011 09  312077.
 2011 10  232038.
 2011 11  741999·
 2011 12  122111·
 2012 01 562212.
 2012 02 972307·
 2012 03 972380.
 2012 04 172490·
 2012 05 672411.
 2012 06 822348·
 2012 07 282132·
 2012 08 222303·
 2012 09 902379.
 2012 10 372467·
 2012 11 552429.
 2012 12 462475·
 2013 01  742361·
 2013 02  422436.
 2013 03  922477·
 2013 04  342491.
 2013 05  972533.
 2013 06  42485·
 2013 07  752429.
 2013 08  532362.
 2013 09  572465.
 2013 10  552294·
 2013 11  682407·
 2013 12  992346·
 2014 01 802464·
 2014 02 512508·
 2014 03 592571·
 2014 04 912560·
 2014 05 172543.
 2014 06 742698.
 2014 07 612705.
 2014 08 722720.
 2014 09 432645·
 2014 10 302603·
 2014 11 112561·
 2014 12 122597.
 2015 01  582679.
 2015 02  522831.
 2015 03  732891.
 2015 04  52798·
 2015 05  892942.
 2015 06  963025·
 2015 07  342804·
 2015 08  702873·
 2015 09  842890·
 2015 10  432892.
 2015 11  72938.
 2015 12  512898·
 2016 01 202858.
 2016 02 12888.
 2016 03 312917.
 2016 04 182932·
 2016 05 962974.
 2016 06 02897.
 2016 07 672923·
 2016 08 642873·
 2016 09 402995·
 2016 10 982978.
 2016 11 52891·
 2016 12 93018·
 2017 01  993021.
 2017 02  763112·
 2017 03  563172.
 2017 04  973094·
 2017 05  512959·
 2017 06  412962.
 2017 07  593050.
 2017 08  973029·
 2017 09  963175.
 2017 10  243103.
 2017 11  763216·


 2017 12  23277·
 2018 01 583322·
 2018 02 823271.
 2018 03 963182.
 2018 04 333265.
 2018 05 893112.
 2018 06 973100·
 2018 07 313242·
 2018 08 343132.
 2018 09 633123·
 2018 10 753138·
 2018 11 203174·
 2018 12 723462.
 2019 01  823491·
 2019 02  483343.
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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: Management, Professional, and Related 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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