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 Series Title: Employment Level: Mexican, Architecture and Engineering Occupations: NSA
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 2000 01 33119·
 2000 02 3187.
 2000 03 7588·
 2000 04 9273·
 2000 05 33100.
 2000 06 53106·
 2000 07 7100.
 2000 08 8292·
 2000 09 4489.
 2000 10 1782·
 2000 11 8479.
 2000 12 1597.
 2001 01  1563.
 2001 02  453.
 2001 03  1868·
 2001 04  3462·
 2001 05  2270.
 2001 06  2370·
 2001 07  4885.
 2001 08  9108·
 2001 09  65106.
 2001 10  3111·
 2001 11  3676.
 2001 12  3461·
 2002 01 7078·
 2002 02 292·
 2002 03 7088·
 2002 04 2884.
 2002 05 8775·
 2002 06 176.
 2002 07 64102.
 2002 08 34122.
 2002 09 9184·
 2002 10 888·
 2002 11 5487·
 2002 12 2373·
 2003 01  8370.
 2003 02  5375·
 2003 03  550.
 2003 04  8957·
 2003 05  8950.
 2003 06  9496.
 2003 07  394.
 2003 08  5093·
 2003 09  5877·
 2003 10  1176·
 2003 11  6160·
 2003 12  5162.
 2004 01 6645.
 2004 02 1237·
 2004 03 1929.
 2004 04 6066.
 2004 05 13104·
 2004 06 2988.
 2004 07 3789.
 2004 08 7373.
 2004 09 2581.
 2004 10 17113·
 2004 11 6106.
 2004 12 7113.
 2005 01  53103·
 2005 02  5973.
 2005 03  3676·
 2005 04  8104·
 2005 05  70112·
 2005 06  61104.
 2005 07  6693·
 2005 08  4554.
 2005 09  7963·
 2005 10  5569·
 2005 11  6066·
 2005 12  1088·
 2006 01 490.
 2006 02 9876·
 2006 03 488·
 2006 04 2588·
 2006 05 9676.
 2006 06 7078·
 2006 07 1266·
 2006 08 3266.
 2006 09 3075.
 2006 10 7984·
 2006 11 2291·
 2006 12 177·
 2007 01  788.
 2007 02  5795.
 2007 03  9799·
 2007 04  26111.
 2007 05  5192.
 2007 06  60104.
 2007 07  2490.
 2007 08  27117·
 2007 09  14105·
 2007 10  6993.
 2007 11  16107.
 2007 12  47117.
 2008 01 70105.
 2008 02 92112·
 2008 03 1288.
 2008 04 5595.
 2008 05 21105.
 2008 06 59114·
 2008 07 73116·
 2008 08 46108·
 2008 09 91110.
 2008 10 28111·
 2008 11 89113·
 2008 12 39110.
 2009 01  30115·
 2009 02  81109·
 2009 03  7289.
 2009 04  78117.
 2009 05  15113·
 2009 06  2392·
 2009 07  59107·
 2009 08  31107.
 2009 09  46101.
 2009 10  87122·
 2009 11  14117·
 2009 12  9493.
 2010 01 48102·
 2010 02 29111·
 2010 03 25102·
 2010 04 86104·
 2010 05 71108.
 2010 06 31104·
 2010 07 5109·
 2010 08 5099.
 2010 09 9171.
 2010 10 9986·
 2010 11 9076·
 2010 12 5579.
 2011 01  899·
 2011 02  65108.
 2011 03  4596·
 2011 04  96117.
 2011 05  4873·
 2011 06  8678.
 2011 07  5797·
 2011 08  92115.
 2011 09  60112.
 2011 10  4374·
 2011 11  3995.
 2011 12  8894·
 2012 01 21106·
 2012 02 44131·
 2012 03 29153.
 2012 04 51144·
 2012 05 31147.
 2012 06 19106·
 2012 07 9067.
 2012 08 7794·
 2012 09 1591.
 2012 10 25129.
 2012 11 10114·
 2012 12 84109.
 2013 01  24132·
 2013 02  44109·
 2013 03  1128.
 2013 04  17132.
 2013 05  3294·
 2013 06  8392.
 2013 07  276·
 2013 08  4477·
 2013 09  41110·
 2013 10  73134·
 2013 11  75152·
 2013 12  61124.
 2014 01 75128·
 2014 02 71134.
 2014 03 8150.
 2014 04 85160·
 2014 05 86112·
 2014 06 58109·
 2014 07 15118.
 2014 08 62114.
 2014 09 48147.
 2014 10 41148.
 2014 11 33128·
 2014 12 60140.
 2015 01  62125.
 2015 02  53139·
 2015 03  24121·
 2015 04  74108.
 2015 05  5397·
 2015 06  48115·
 2015 07  78132·
 2015 08  22149.
 2015 09  72156·
 2015 10  10176·
 2015 11  6168.
 2015 12  49135·
 2016 01 94127·
 2016 02 44148.
 2016 03 47131·
 2016 04 23139·
 2016 05 20113·
 2016 06 83120·
 2016 07 63156.
 2016 08 40183.
 2016 09 74206.
 2016 10 82200.
 2016 11 43160·
 2016 12 18171·
 2017 01  7156.
 2017 02  25154.
 2017 03  99138.
 2017 04  1176.
 2017 05  95147·
 2017 06  16152·


 2017 07  69163·
 2017 08  59151·
 2017 09  38176·
 2017 10  88151.
 2017 11  17134.
 2017 12  85107.
 2018 01 62152·
 2018 02 98149·
 2018 03 29178·
 2018 04 99187·
 2018 05 16134.
 2018 06 27141·
 2018 07 19144·
 2018 08 45139·
 2018 09 77138·
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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

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