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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 161464·
 2000 02 441464.
 2000 03 131382.
 2000 04 21343.
 2000 05 131380.
 2000 06 491419.
 2000 07 161385·
 2000 08 511403.
 2000 09 701415.
 2000 10 461367.
 2000 11 141382.
 2000 12 921453·
 2001 01  371410·
 2001 02  171432.
 2001 03  191525·
 2001 04  701494.
 2001 05  901462.
 2001 06  691353.
 2001 07  701473.
 2001 08  541560.
 2001 09  291534.
 2001 10  331567.
 2001 11  291452·
 2001 12  371503.
 2002 01 801476·
 2002 02 661441·
 2002 03 851521.
 2002 04 391513.
 2002 05 931517.
 2002 06 491539·
 2002 07 491462.
 2002 08 51547.
 2002 09 431544·
 2002 10 891572.
 2002 11 611495·
 2002 12 21504·
 2003 01  321656·
 2003 02  181568.
 2003 03  821552.
 2003 04  271504.
 2003 05  831575·
 2003 06  921613.
 2003 07  11528.
 2003 08  961463·
 2003 09  481525.
 2003 10  931538.
 2003 11  311648.
 2003 12  561641·
 2004 01 21481·
 2004 02 281490.
 2004 03 101510·
 2004 04 741547.
 2004 05 461693·
 2004 06 281669·
 2004 07 991673.
 2004 08 451704.
 2004 09 41726.
 2004 10 501681·
 2004 11 891656·
 2004 12 881612.
 2005 01  271537.
 2005 02  751551·
 2005 03  901727.
 2005 04  471749·
 2005 05  911796·
 2005 06  111757.
 2005 07  421669.
 2005 08  921612.
 2005 09  961648·
 2005 10  881709·
 2005 11  61730.
 2005 12  171756·
 2006 01 681802.
 2006 02 641844.
 2006 03 721881.
 2006 04 401781.
 2006 05 561810·
 2006 06 201686.
 2006 07 511729·
 2006 08 51737.
 2006 09 361834.
 2006 10 631856.
 2006 11 821960·
 2006 12 832035.
 2007 01  81961·
 2007 02  251969.
 2007 03  281907.
 2007 04  671903.
 2007 05  991917·
 2007 06  611906.
 2007 07  761893.
 2007 08  761997.
 2007 09  581966·
 2007 10  541974·
 2007 11  391939.
 2007 12  552071·
 2008 01 601956·
 2008 02 101917.
 2008 03 561895·
 2008 04 721929·
 2008 05 71991.
 2008 06 611905.
 2008 07 881903·
 2008 08 211954.
 2008 09 232007·
 2008 10 641998·
 2008 11 252073·
 2008 12 232069.
 2009 01  582028·
 2009 02  02091·
 2009 03  792030·
 2009 04  202060·
 2009 05  902068·
 2009 06  761967.
 2009 07  881943·
 2009 08  821970.
 2009 09  162008.
 2009 10  232085.
 2009 11  142208.
 2009 12  42191·
 2010 01 642236·
 2010 02 992251.
 2010 03 462219·
 2010 04 42072·
 2010 05 832047·
 2010 06 842007.
 2010 07 961799·
 2010 08 261845.
 2010 09 491899.
 2010 10 861984·
 2010 11 31998·
 2010 12 402033·
 2011 01  632060.
 2011 02  362121.
 2011 03  292116·
 2011 04  402077.
 2011 05  481971.
 2011 06  902044·
 2011 07  622015.
 2011 08  452072·
 2011 09  572077·
 2011 10  312038.
 2011 11  151999.
 2011 12  992111·
 2012 01 642212.
 2012 02 652307·
 2012 03 272380.
 2012 04 712490·
 2012 05 702411·
 2012 06 242348·
 2012 07 592132.
 2012 08 552303·
 2012 09 02379·
 2012 10 642467·
 2012 11 992429·
 2012 12 712475·
 2013 01  52361·
 2013 02  672436.
 2013 03  622477·
 2013 04  622491.
 2013 05  592533.
 2013 06  392485·
 2013 07  832429.
 2013 08  982362.
 2013 09  642465·
 2013 10  122294.
 2013 11  282407·
 2013 12  732346·
 2014 01 452464.
 2014 02 442508.
 2014 03 822571.
 2014 04 72560·
 2014 05 512543.
 2014 06 152698·
 2014 07 602705·
 2014 08 422720·
 2014 09 602645·
 2014 10 322603·
 2014 11 992561·
 2014 12 492597·
 2015 01  702679·
 2015 02  272831.
 2015 03  612891·
 2015 04  212798·
 2015 05  72942·
 2015 06  563025·
 2015 07  362804.
 2015 08  772873.
 2015 09  222890.
 2015 10  12892·
 2015 11  352938.
 2015 12  632898.
 2016 01 902858·
 2016 02 692888.
 2016 03 972917·
 2016 04 462932·
 2016 05 122974.
 2016 06 912897.
 2016 07 852923·
 2016 08 212873.
 2016 09 122995.
 2016 10 242978·
 2016 11 852891.
 2016 12 83018.
 2017 01  423021.
 2017 02  503112·
 2017 03  133172.
 2017 04  503094.


 2017 05  762959.
 2017 06  752962·
 2017 07  43050·
 2017 08  163029·
 2017 09  153175·
 2017 10  313103.
 2017 11  223216.
 2017 12  13277.
 2018 01 853322·
 2018 02 753271.
 2018 03 563182·
 2018 04 233265.
 2018 05 353112.
 2018 06 873100·
 2018 07 173242.
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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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