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 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
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 2012 04 8144·
 2012 03 97153.
 2012 02 34131·
 2012 01 97106.
 2011 12  8894.
 2011 11  1095·
 2011 10  7074.
 2011 09  4112.
 2011 08  27115·
 2011 07  1597.
 2011 06  178.
 2011 05  373.
 2011 04  77117·
 2011 03  9496·
 2011 02  39108·
 2011 01  3899·
 2010 12 1379.
 2010 11 5476·
 2010 10 2286.
 2010 09 8071.
 2010 08 3599·
 2010 07 25109.
 2010 06 14104.
 2010 05 21108·
 2010 04 69104·
 2010 03 66102·
 2010 02 3111·
 2010 01 81102·
 2009 12  6593·
 2009 11  57117.
 2009 10  0122·
 2009 09  4101.
 2009 08  98107.
 2009 07  5107.
 2009 06  4492.
 2009 05  60113·
 2009 04  69117·
 2009 03  4189·
 2009 02  98109·
 2009 01  42115·
 2008 12 3110.
 2008 11 23113·
 2008 10 50111·
 2008 09 69110.
 2008 08 51108.
 2008 07 32116.
 2008 06 13114·
 2008 05 86105·
 2008 04 8895.
 2008 03 7588·
 2008 02 24112·
 2008 01 62105.
 2007 12  14117·
 2007 11  83107.
 2007 10  4793.
 2007 09  91105·
 2007 08  55117.
 2007 07  1290·
 2007 06  69104·
 2007 05  9292.
 2007 04  62111.
 2007 03  4699.
 2007 02  395·
 2007 01  988.
 2006 12 877·
 2006 11 8991.
 2006 10 8884·
 2006 09 1275·
 2006 08 9666·
 2006 07 7566·
 2006 06 8578·
 2006 05 9476.
 2006 04 5088.
 2006 03 5888·
 2006 02 8376·
 2006 01 7590·
 2005 12  2188·
 2005 11  2266.
 2005 10  9569.
 2005 09  9963.
 2005 08  8454·
 2005 07  7393·
 2005 06  59104·
 2005 05  34112.
 2005 04  39104·
 2005 03  4276·
 2005 02  3873.
 2005 01  76103.
 2004 12 13113.
 2004 11 86106.
 2004 10 18113.
 2004 09 4381·
 2004 08 5473·
 2004 07 8789.
 2004 06 1588·
 2004 05 79104·
 2004 04 4066·
 2004 03 5129·
 2004 02 6437·
 2004 01 5445.
 2003 12  6962·
 2003 11  1060.
 2003 10  3076.
 2003 09  6177·
 2003 08  6893·
 2003 07  2094·
 2003 06  9996.
 2003 05  2050·
 2003 04  8657·
 2003 03  6450·
 2003 02  8675·
 2003 01  7670·
 2002 12 073·
 2002 11 4887·
 2002 10 2788.
 2002 09 9684.
 2002 08 10122.
 2002 07 3102·
 2002 06 8676·
 2002 05 7575.
 2002 04 4184.
 2002 03 8788.
 2002 02 5192·
 2002 01 3378.
 2001 12  4361·
 2001 11  8076·
 2001 10  34111·
 2001 09  13106·
 2001 08  91108.
 2001 07  8985.
 2001 06  7470·
 2001 05  8570.
 2001 04  8762·
 2001 03  4768.
 2001 02  3353.
 2001 01  4363.
 2000 12 5697.
 2000 11 979.
 2000 10 9982·
 2000 09 589.
 2000 08 4892.
 2000 07 58100·
 2000 06 85106·
 2000 05 17100·
 2000 04 3873.
 2000 03 088·
 2000 02 2987·
 2000 01 47119.
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: 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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