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 Series Title: Employment Level: Mexican, Architecture and Engineering Occupations: NSA
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 2000 01 33119.
 2000 02 287.
 2000 03 6988·
 2000 04 4873·
 2000 05 80100.
 2000 06 5106·
 2000 07 66100.
 2000 08 3892.
 2000 09 7589·
 2000 10 8782·
 2000 11 4679.
 2000 12 897.
 2001 01  6763·
 2001 02  3153·
 2001 03  2168.
 2001 04  262.
 2001 05  3370·
 2001 06  4270.
 2001 07  2885·
 2001 08  90108.
 2001 09  73106·
 2001 10  54111.
 2001 11  3276.
 2001 12  6461.
 2002 01 1278.
 2002 02 2192·
 2002 03 1988.
 2002 04 4584.
 2002 05 175·
 2002 06 2776.
 2002 07 3102.
 2002 08 77122.
 2002 09 1484.
 2002 10 7788·
 2002 11 2187.
 2002 12 2873.
 2003 01  5370·
 2003 02  375.
 2003 03  3750.
 2003 04  9457.
 2003 05  4350·
 2003 06  6296·
 2003 07  3894.
 2003 08  9293·
 2003 09  3477.
 2003 10  3676·
 2003 11  3760·
 2003 12  6762·
 2004 01 145·
 2004 02 3137·
 2004 03 7229.
 2004 04 8966.
 2004 05 45104·
 2004 06 7888·
 2004 07 689·
 2004 08 5273·
 2004 09 9181·
 2004 10 35113.
 2004 11 27106.
 2004 12 73113·
 2005 01  90103·
 2005 02  8373·
 2005 03  4876.
 2005 04  99104·
 2005 05  17112.
 2005 06  29104·
 2005 07  793·
 2005 08  9854.
 2005 09  7363.
 2005 10  469·
 2005 11  6666.
 2005 12  6388.
 2006 01 8290·
 2006 02 6476·
 2006 03 1388.
 2006 04 1588·
 2006 05 9576.
 2006 06 9378.
 2006 07 6266·
 2006 08 9766.
 2006 09 8975.
 2006 10 9684.
 2006 11 4991.
 2006 12 7877·
 2007 01  6288.
 2007 02  495.
 2007 03  3999·
 2007 04  54111·
 2007 05  4092·
 2007 06  76104.
 2007 07  1990·
 2007 08  41117.
 2007 09  75105·
 2007 10  9193·
 2007 11  2107.
 2007 12  86117.
 2008 01 40105.
 2008 02 57112.
 2008 03 2588.
 2008 04 5795·
 2008 05 38105·
 2008 06 6114·
 2008 07 53116·
 2008 08 47108·
 2008 09 92110·
 2008 10 94111·
 2008 11 71113·
 2008 12 78110.
 2009 01  53115·
 2009 02  2109·
 2009 03  9489.
 2009 04  91117.
 2009 05  97113·
 2009 06  3892·
 2009 07  60107.
 2009 08  57107.
 2009 09  25101.
 2009 10  33122·
 2009 11  30117·
 2009 12  7093.
 2010 01 61102.
 2010 02 43111·
 2010 03 94102·
 2010 04 49104.
 2010 05 55108·
 2010 06 51104.
 2010 07 64109·
 2010 08 3799.
 2010 09 8471.
 2010 10 6386.
 2010 11 7776.
 2010 12 579.
 2011 01  4899·
 2011 02  10108·
 2011 03  9896·
 2011 04  46117.
 2011 05  7273·
 2011 06  5078·
 2011 07  1397.
 2011 08  80115·
 2011 09  6112·
 2011 10  6374·
 2011 11  3595·
 2011 12  5094.
 2012 01 27106·
 2012 02 57131.
 2012 03 3153·
 2012 04 25144·
 2012 05 33147·
 2012 06 63106.
 2012 07 8067·
 2012 08 194·
 2012 09 5191·
 2012 10 38129·
 2012 11 52114·
 2012 12 95109.
 2013 01  31132.
 2013 02  63109·
 2013 03  34128·
 2013 04  53132.
 2013 05  4994·
 2013 06  4692.
 2013 07  6376·
 2013 08  4377·
 2013 09  5110·
 2013 10  17134·
 2013 11  1152·
 2013 12  59124.
 2014 01 23128.
 2014 02 33134·
 2014 03 37150.
 2014 04 21160.
 2014 05 55112·
 2014 06 76109.
 2014 07 84118.
 2014 08 73114·
 2014 09 77147.
 2014 10 53148·
 2014 11 80128.
 2014 12 83140·
 2015 01  87125·
 2015 02  96139·
 2015 03  87121.
 2015 04  46108·
 2015 05  1397.
 2015 06  60115·
 2015 07  93132.
 2015 08  82149.
 2015 09  3156.
 2015 10  27176·
 2015 11  12168.
 2015 12  33135.
 2016 01 35127·
 2016 02 5148·
 2016 03 81131·
 2016 04 70139·
 2016 05 7113·
 2016 06 25120.
 2016 07 63156·
 2016 08 87183·
 2016 09 45206·
 2016 10 43200.
 2016 11 45160.
 2016 12 2171·
 2017 01  0156.
 2017 02  41154·
 2017 03  42138·
 2017 04  60176.
 2017 05  48147·
 2017 06  26152.
 2017 07  90163·
 2017 08  30151.
 2017 09  87176.


 2017 10  30151.
 2017 11  53134·
 2017 12  6107·
 2018 01 45152·
 2018 02 8149·
 2018 03 18178·
 2018 04 7187.
 2018 05 71134·
 2018 06 43141.
 2018 07 99144.
 2018 08 78139·
 2018 09 41138·
 2018 10 42138·
 2018 11 32174·
 2018 12 87183.
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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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