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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 371464.
 2000 02 481464.
 2000 03 931382·
 2000 04 611343·
 2000 05 671380·
 2000 06 271419·
 2000 07 601385.
 2000 08 141403.
 2000 09 191415·
 2000 10 601367·
 2000 11 851382·
 2000 12 231453·
 2001 01  441410.
 2001 02  301432.
 2001 03  791525·
 2001 04  311494·
 2001 05  181462.
 2001 06  431353·
 2001 07  821473·
 2001 08  71560.
 2001 09  401534.
 2001 10  311567.
 2001 11  551452·
 2001 12  451503.
 2002 01 361476·
 2002 02 491441·
 2002 03 871521·
 2002 04 651513.
 2002 05 571517·
 2002 06 811539·
 2002 07 911462.
 2002 08 101547·
 2002 09 781544·
 2002 10 321572·
 2002 11 41495.
 2002 12 501504·
 2003 01  01656.
 2003 02  351568·
 2003 03  901552.
 2003 04  791504.
 2003 05  471575.
 2003 06  451613.
 2003 07  361528.
 2003 08  161463.
 2003 09  701525.
 2003 10  451538.
 2003 11  551648·
 2003 12  51641.
 2004 01 441481·
 2004 02 411490.
 2004 03 851510·
 2004 04 161547·
 2004 05 711693.
 2004 06 651669.
 2004 07 891673·
 2004 08 421704·
 2004 09 751726.
 2004 10 731681·
 2004 11 551656.
 2004 12 21612.
 2005 01  61537.
 2005 02  471551·
 2005 03  961727.
 2005 04  421749.
 2005 05  401796·
 2005 06  941757·
 2005 07  491669.
 2005 08  291612.
 2005 09  781648.
 2005 10  451709·
 2005 11  781730·
 2005 12  581756.
 2006 01 451802.
 2006 02 571844.
 2006 03 701881·
 2006 04 491781.
 2006 05 911810·
 2006 06 121686·
 2006 07 391729·
 2006 08 441737·
 2006 09 921834.
 2006 10 161856·
 2006 11 221960.
 2006 12 142035.
 2007 01  471961·
 2007 02  01969·
 2007 03  821907.
 2007 04  531903·
 2007 05  831917.
 2007 06  231906.
 2007 07  61893.
 2007 08  801997·
 2007 09  501966·
 2007 10  641974·
 2007 11  91939·
 2007 12  382071·
 2008 01 231956·
 2008 02 321917.
 2008 03 271895·
 2008 04 971929·
 2008 05 31991·
 2008 06 571905.
 2008 07 251903.
 2008 08 521954·
 2008 09 142007·
 2008 10 951998.
 2008 11 882073·
 2008 12 202069.
 2009 01  82028·
 2009 02  302091.
 2009 03  312030·
 2009 04  482060·
 2009 05  602068·
 2009 06  671967.
 2009 07  911943·
 2009 08  21970·
 2009 09  692008.
 2009 10  382085·
 2009 11  322208·
 2009 12  792191.
 2010 01 632236.
 2010 02 02251.
 2010 03 412219·
 2010 04 962072.
 2010 05 902047.
 2010 06 342007.
 2010 07 301799·
 2010 08 991845·
 2010 09 261899.
 2010 10 471984·
 2010 11 391998·
 2010 12 552033·
 2011 01  732060·
 2011 02  702121·
 2011 03  292116·
 2011 04  602077.
 2011 05  541971·
 2011 06  612044.
 2011 07  892015·
 2011 08  322072.
 2011 09  212077·
 2011 10  12038·
 2011 11  311999·
 2011 12  162111.
 2012 01 482212.
 2012 02 962307·
 2012 03 942380·
 2012 04 802490·
 2012 05 372411·
 2012 06 782348·
 2012 07 412132.
 2012 08 192303·
 2012 09 132379·
 2012 10 42467.
 2012 11 582429.
 2012 12 522475·
 2013 01  262361.
 2013 02  552436·
 2013 03  602477.
 2013 04  242491·
 2013 05  512533.
 2013 06  392485.
 2013 07  832429·
 2013 08  22362.
 2013 09  882465.
 2013 10  862294.
 2013 11  922407.
 2013 12  822346.
 2014 01 652464.
 2014 02 542508·
 2014 03 732571.
 2014 04 832560·
 2014 05 292543.
 2014 06 232698·
 2014 07 402705·
 2014 08 482720.
 2014 09 582645.
 2014 10 12603·
 2014 11 312561·
 2014 12 472597.
 2015 01  512679·
 2015 02  202831.
 2015 03  72891·
 2015 04  742798.
 2015 05  342942·
 2015 06  353025·
 2015 07  592804.
 2015 08  482873.
 2015 09  572890·
 2015 10  292892.
 2015 11  972938.
 2015 12  132898·
 2016 01 952858·
 2016 02 82888·
 2016 03 612917·
 2016 04 392932·
 2016 05 502974.
 2016 06 42897·
 2016 07 132923·
 2016 08 192873.
 2016 09 462995.
 2016 10 732978·
 2016 11 402891.
 2016 12 733018.
 2017 01  333021.
 2017 02  973112·
 2017 03  573172·
 2017 04  453094.
 2017 05  882959.
 2017 06  842962.
 2017 07  03050·
 2017 08  33029·


 2017 09  103175·
 2017 10  633103.
 2017 11  333216.
 2017 12  433277·
 2018 01 253322.
 2018 02 933271.
 2018 03 433182.
 2018 04 833265·
 2018 05 843112·
 2018 06 543100.
 2018 07 433242.
 2018 08 673132.
 2018 09 613123·
 2018 10 543138·
 2018 11 723174·
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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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