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 Series Title: Employment Level: Mexican, Protective Service 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 60125·
 2000 02 76115.
 2000 03 84119.
 2000 04 25122.
 2000 05 64123·
 2000 06 66134.
 2000 07 1150·
 2000 08 66135.
 2000 09 41118·
 2000 10 62122.
 2000 11 25128·
 2000 12 11149.
 2001 01  40162.
 2001 02  43162.
 2001 03  69146.
 2001 04  6149·
 2001 05  38138.
 2001 06  18125.
 2001 07  70153·
 2001 08  18193·
 2001 09  34177.
 2001 10  17169.
 2001 11  93193·
 2001 12  43205·
 2002 01 55170.
 2002 02 97170·
 2002 03 24163.
 2002 04 0121.
 2002 05 50124·
 2002 06 41128·
 2002 07 77143.
 2002 08 32172·
 2002 09 95157·
 2002 10 54152·
 2002 11 90160·
 2002 12 9146.
 2003 01  91158.
 2003 02  68143.
 2003 03  25163.
 2003 04  24138·
 2003 05  62138·
 2003 06  40150.
 2003 07  70155·
 2003 08  98155.
 2003 09  59127.
 2003 10  52128.
 2003 11  38123.
 2003 12  74192.
 2004 01 58177.
 2004 02 9184.
 2004 03 67192.
 2004 04 21143·
 2004 05 59153·
 2004 06 45177·
 2004 07 21173.
 2004 08 34211.
 2004 09 87199·
 2004 10 14207·
 2004 11 86194.
 2004 12 31225.
 2005 01  92188.
 2005 02  0159.
 2005 03  76185.
 2005 04  57177·
 2005 05  51172·
 2005 06  9189.
 2005 07  28184.
 2005 08  81161.
 2005 09  63184.
 2005 10  72152·
 2005 11  6162.
 2005 12  97168·
 2006 01 54154.
 2006 02 45159·
 2006 03 98186·
 2006 04 24197.
 2006 05 74194.
 2006 06 12206.
 2006 07 16171·
 2006 08 7163.
 2006 09 99129.
 2006 10 78136·
 2006 11 98146·
 2006 12 14148·
 2007 01  29135.
 2007 02  74127·
 2007 03  7138.
 2007 04  39137.
 2007 05  89149.
 2007 06  58146·
 2007 07  31169·
 2007 08  2157·
 2007 09  30154·
 2007 10  12193.
 2007 11  83154.
 2007 12  47149·
 2008 01 28161.
 2008 02 41151.
 2008 03 0148.
 2008 04 43138·
 2008 05 81188·
 2008 06 77193.
 2008 07 47216·
 2008 08 84251·
 2008 09 17188.
 2008 10 78187·
 2008 11 9180·
 2008 12 90193·
 2009 01  85183·
 2009 02  24231·
 2009 03  2252·
 2009 04  4248·
 2009 05  61248·
 2009 06  23226·
 2009 07  61204·
 2009 08  95201.
 2009 09  45199.
 2009 10  6216·
 2009 11  51251·
 2009 12  59243.
 2010 01 62227·
 2010 02 29255·
 2010 03 59269.
 2010 04 13255.
 2010 05 64311·
 2010 06 75282.
 2010 07 98245·
 2010 08 2274·
 2010 09 25232.
 2010 10 49226·
 2010 11 5220.
 2010 12 95189.
 2011 01  45167·
 2011 02  85180.
 2011 03  45184·
 2011 04  86190.
 2011 05  51210·
 2011 06  37251.
 2011 07  4261.
 2011 08  95306.
 2011 09  92253·
 2011 10  88252·
 2011 11  96214.
 2011 12  66221.
 2012 01 43203·
 2012 02 45200.
 2012 03 58214.
 2012 04 67242·
 2012 05 7268.
 2012 06 39249.
 2012 07 53305·
 2012 08 93261.
 2012 09 6224.
 2012 10 27233.
 2012 11 70227.
 2012 12 62267·
 2013 01  93289·
 2013 02  90318·
 2013 03  21301·
 2013 04  20309.
 2013 05  43290.
 2013 06  35254.


 2013 07  44285·
 2013 08  36260.
 2013 09  55246.
 2013 10  94232·
 2013 11  1262.
 2013 12  2286·
 2014 01 55296·
 2014 02 23334·
 2014 03 82303.
 2014 04 40342·
 2014 05 94275.
 2014 06 5250·
 2014 07 98247·
 2014 08 92176·
 2014 09 47187·
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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, Protective Service 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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