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 Series Title: Employment Level: Mexican, Business and Financial Operations Occupations: NSA
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 2012 04 28314·
 2012 03 30340.
 2012 02 59304.
 2012 01 41283.
 2011 12  30257·
 2011 11  78238·
 2011 10  42250.
 2011 09  8268.
 2011 08  42247.
 2011 07  68224·
 2011 06  71289.
 2011 05  17251·
 2011 04  15279.
 2011 03  83295.
 2011 02  56244.
 2011 01  13224.
 2010 12 23200·
 2010 11 27212.
 2010 10 38189·
 2010 09 65211.
 2010 08 68192.
 2010 07 34202·
 2010 06 77225.
 2010 05 66225.
 2010 04 74247·
 2010 03 60225.
 2010 02 63250·
 2010 01 36257.
 2009 12  93223.
 2009 11  86267.
 2009 10  8286.
 2009 09  20270.
 2009 08  99263·
 2009 07  19302·
 2009 06  50279·
 2009 05  85271·
 2009 04  93273.
 2009 03  91199·
 2009 02  52222·
 2009 01  27189·
 2008 12 99220·
 2008 11 58267.
 2008 10 2272·
 2008 09 65282·
 2008 08 70304·
 2008 07 2293.
 2008 06 12250.
 2008 05 42259.
 2008 04 80208.
 2008 03 30221·
 2008 02 21208.
 2008 01 28245.
 2007 12  28275.
 2007 11  73268·
 2007 10  91256.
 2007 09  17225.
 2007 08  42229·
 2007 07  88218·
 2007 06  11202·
 2007 05  29229·
 2007 04  71229·
 2007 03  56220.
 2007 02  93214.
 2007 01  6246.
 2006 12 90248.
 2006 11 85277·
 2006 10 75256.
 2006 09 19229·
 2006 08 1230.
 2006 07 5186·
 2006 06 20178·
 2006 05 61202.
 2006 04 28227.
 2006 03 74202.
 2006 02 16219·
 2006 01 52228.
 2005 12  21216.
 2005 11  73233·
 2005 10  75253·
 2005 09  36216·
 2005 08  57203·
 2005 07  9228·
 2005 06  37245·
 2005 05  82238.
 2005 04  35271.
 2005 03  13242.
 2005 02  63217.
 2005 01  84192·
 2004 12 81201·
 2004 11 42211.
 2004 10 41195·
 2004 09 61207·
 2004 08 45196.
 2004 07 78183.
 2004 06 85158.
 2004 05 57173.
 2004 04 3174.
 2004 03 28190·
 2004 02 32205.
 2004 01 42214.
 2003 12  55200·
 2003 11  22191.
 2003 10  46154.
 2003 09  9157.
 2003 08  26139.
 2003 07  18128.
 2003 06  13148·
 2003 05  79188·
 2003 04  68176·
 2003 03  96210.
 2003 02  47213·
 2003 01  94196.
 2002 12 54166.
 2002 11 65166·
 2002 10 86195·
 2002 09 24176.
 2002 08 87179·
 2002 07 56178.
 2002 06 93205·
 2002 05 64200·
 2002 04 90200·
 2002 03 24209.
 2002 02 55159·
 2002 01 32203.
 2001 12  14189.
 2001 11  53175·
 2001 10  86178.
 2001 09  72139·
 2001 08  36162·
 2001 07  47142·
 2001 06  23146.
 2001 05  54135.
 2001 04  55158.
 2001 03  40164·
 2001 02  30157.
 2001 01  72191.
 2000 12 96180·
 2000 11 88202·
 2000 10 94174.
 2000 09 45185.
 2000 08 10175·
 2000 07 72162.
 2000 06 27160.
 2000 05 17142·
 2000 04 73172·
 2000 03 99145.
 2000 02 69185.
 2000 01 57169·
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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, Business and Financial Operations 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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