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 Series Title: Employment Level: Mexican, Architecture and Engineering Occupations: 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 38119·
 2000 02 9487.
 2000 03 7588.
 2000 04 1573.
 2000 05 73100.
 2000 06 8106·
 2000 07 82100·
 2000 08 8892·
 2000 09 9989·
 2000 10 4582.
 2000 11 1579.
 2000 12 8597.
 2001 01  6763.
 2001 02  8753·
 2001 03  8768·
 2001 04  5062.
 2001 05  5270·
 2001 06  4170.
 2001 07  3685.
 2001 08  51108.
 2001 09  55106·
 2001 10  39111.
 2001 11  2476·
 2001 12  8461.
 2002 01 178.
 2002 02 3792.
 2002 03 3988·
 2002 04 6784·
 2002 05 3975.
 2002 06 1676.
 2002 07 95102·
 2002 08 44122.
 2002 09 4784.
 2002 10 8388.
 2002 11 3087·
 2002 12 8573·
 2003 01  2470.
 2003 02  7175.
 2003 03  550·
 2003 04  8357·
 2003 05  9550·
 2003 06  3596.
 2003 07  994.
 2003 08  5993.
 2003 09  1177·
 2003 10  5776.
 2003 11  5660·
 2003 12  5562·
 2004 01 4745.
 2004 02 4537.
 2004 03 8229.
 2004 04 4166.
 2004 05 4104·
 2004 06 2888.
 2004 07 5189·
 2004 08 1173·
 2004 09 781.
 2004 10 65113.
 2004 11 50106.
 2004 12 85113.
 2005 01  6103.
 2005 02  3773·
 2005 03  9376.
 2005 04  6104·
 2005 05  77112.
 2005 06  50104.
 2005 07  1893.
 2005 08  4454.
 2005 09  2063·
 2005 10  3669.
 2005 11  8666.
 2005 12  9388·
 2006 01 6190·
 2006 02 5276·
 2006 03 8788.
 2006 04 7288·
 2006 05 5076.
 2006 06 7978·
 2006 07 3366·
 2006 08 2466·
 2006 09 6275.
 2006 10 2584·
 2006 11 6191·
 2006 12 2077.
 2007 01  9888·
 2007 02  2095·
 2007 03  3699.
 2007 04  53111·
 2007 05  8392·
 2007 06  21104.
 2007 07  4490·
 2007 08  43117.
 2007 09  68105.
 2007 10  1093.
 2007 11  99107·
 2007 12  33117·
 2008 01 28105·
 2008 02 94112.
 2008 03 3988.
 2008 04 9395.
 2008 05 63105·
 2008 06 4114.
 2008 07 25116·
 2008 08 17108·
 2008 09 98110.
 2008 10 96111·
 2008 11 47113·
 2008 12 24110·
 2009 01  85115.
 2009 02  53109·
 2009 03  1889·
 2009 04  58117·
 2009 05  98113·
 2009 06  8292·
 2009 07  74107.
 2009 08  89107.
 2009 09  38101·
 2009 10  13122.
 2009 11  79117·
 2009 12  993·
 2010 01 31102·
 2010 02 3111.
 2010 03 22102.
 2010 04 40104·
 2010 05 26108.
 2010 06 35104·
 2010 07 13109·
 2010 08 2499·
 2010 09 9971·
 2010 10 1486.
 2010 11 9376.
 2010 12 3179·
 2011 01  5199·
 2011 02  73108·
 2011 03  2396.
 2011 04  56117.
 2011 05  673.
 2011 06  6778.
 2011 07  9197.
 2011 08  16115.
 2011 09  16112·
 2011 10  7974.
 2011 11  1195·
 2011 12  5694.
 2012 01 55106.
 2012 02 16131.
 2012 03 20153.
 2012 04 47144.
 2012 05 24147.
 2012 06 8106.
 2012 07 8167.
 2012 08 8094.
 2012 09 4991.
 2012 10 13129·
 2012 11 82114.
 2012 12 77109·
 2013 01  79132·
 2013 02  12109.
 2013 03  36128.
 2013 04  80132·
 2013 05  9194·
 2013 06  1292.
 2013 07  8076.
 2013 08  5977·
 2013 09  84110·
 2013 10  44134·
 2013 11  79152.
 2013 12  8124.
 2014 01 84128·
 2014 02 65134·
 2014 03 18150.
 2014 04 47160.
 2014 05 42112·
 2014 06 57109.
 2014 07 13118·
 2014 08 19114·
 2014 09 32147·
 2014 10 27148·
 2014 11 99128·
 2014 12 94140.
 2015 01  56125·
 2015 02  5139·
 2015 03  41121.
 2015 04  65108·
 2015 05  3897·
 2015 06  49115.
 2015 07  26132·
 2015 08  53149·
 2015 09  29156.
 2015 10  41176.
 2015 11  66168.
 2015 12  0135.
 2016 01 4127.
 2016 02 86148.
 2016 03 1131·
 2016 04 76139.
 2016 05 64113.
 2016 06 17120.
 2016 07 93156.
 2016 08 76183.
 2016 09 34206·
 2016 10 90200·
 2016 11 29160.
 2016 12 18171·
 2017 01  64156·
 2017 02  87154·
 2017 03  22138·
 2017 04  47176.


 2017 05  30147.
 2017 06  15152.
 2017 07  11163·
 2017 08  31151.
 2017 09  33176.
 2017 10  4151.
 2017 11  59134.
 2017 12  65107·
 2018 01 97152·
 2018 02 13149.
 2018 03 52178.
 2018 04 68187·
 2018 05 74134.
 2018 06 22141.
 2018 07 5144·
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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: Mexican, Architecture and Engineering Occupations: 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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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