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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 36125.
 2000 02 0115·
 2000 03 73119.
 2000 04 77122.
 2000 05 56123·
 2000 06 59134.
 2000 07 35150.
 2000 08 64135·
 2000 09 6118·
 2000 10 79122·
 2000 11 60128·
 2000 12 12149.
 2001 01  35162.
 2001 02  41162·
 2001 03  61146·
 2001 04  66149.
 2001 05  18138.
 2001 06  53125·
 2001 07  77153·
 2001 08  94193.
 2001 09  56177.
 2001 10  46169·
 2001 11  70193.
 2001 12  90205·
 2002 01 75170·
 2002 02 76170.
 2002 03 27163·
 2002 04 74121.
 2002 05 25124·
 2002 06 25128.
 2002 07 63143·
 2002 08 90172·
 2002 09 81157.
 2002 10 1152.
 2002 11 14160·
 2002 12 8146·
 2003 01  43158·
 2003 02  33143.
 2003 03  44163.
 2003 04  20138.
 2003 05  37138.
 2003 06  80150·
 2003 07  40155·
 2003 08  46155·
 2003 09  14127.
 2003 10  22128.
 2003 11  16123·
 2003 12  32192.
 2004 01 49177.
 2004 02 67184·
 2004 03 9192.
 2004 04 44143·
 2004 05 41153·
 2004 06 46177.
 2004 07 83173.
 2004 08 78211.
 2004 09 17199·
 2004 10 16207.
 2004 11 24194.
 2004 12 54225.
 2005 01  27188·
 2005 02  57159·
 2005 03  47185.
 2005 04  14177.
 2005 05  47172·
 2005 06  78189.
 2005 07  88184.
 2005 08  28161.
 2005 09  76184·
 2005 10  10152.
 2005 11  11162·
 2005 12  90168·
 2006 01 40154.
 2006 02 8159·
 2006 03 4186·
 2006 04 20197.
 2006 05 89194·
 2006 06 55206.
 2006 07 79171·
 2006 08 62163.
 2006 09 0129·
 2006 10 58136·
 2006 11 75146.
 2006 12 84148·
 2007 01  72135.
 2007 02  48127.
 2007 03  54138·
 2007 04  81137·
 2007 05  30149·
 2007 06  82146·
 2007 07  4169·
 2007 08  72157.
 2007 09  25154·
 2007 10  41193·
 2007 11  38154·
 2007 12  1149.
 2008 01 33161·
 2008 02 33151·
 2008 03 95148.
 2008 04 38138·
 2008 05 54188.
 2008 06 88193·
 2008 07 36216·
 2008 08 75251·
 2008 09 13188·
 2008 10 63187·
 2008 11 50180.
 2008 12 34193·
 2009 01  60183.
 2009 02  40231.
 2009 03  50252·
 2009 04  57248.
 2009 05  72248·
 2009 06  26226·
 2009 07  73204·
 2009 08  14201.
 2009 09  48199.
 2009 10  53216·
 2009 11  83251·
 2009 12  98243·
 2010 01 13227.
 2010 02 76255·
 2010 03 67269.
 2010 04 30255·
 2010 05 19311.
 2010 06 77282.
 2010 07 39245·
 2010 08 53274.
 2010 09 41232·
 2010 10 64226.
 2010 11 35220.
 2010 12 37189.
 2011 01  78167·
 2011 02  68180.
 2011 03  20184.
 2011 04  75190.
 2011 05  57210·
 2011 06  45251.
 2011 07  80261·
 2011 08  87306.
 2011 09  27253.
 2011 10  77252.
 2011 11  29214·
 2011 12  16221·
 2012 01 64203·
 2012 02 71200·
 2012 03 5214·
 2012 04 32242.
 2012 05 69268·
 2012 06 59249.
 2012 07 71305.
 2012 08 30261.
 2012 09 67224.
 2012 10 96233·
 2012 11 14227.
 2012 12 28267.
 2013 01  9289.
 2013 02  65318.
 2013 03  47301.
 2013 04  70309·
 2013 05  69290·
 2013 06  73254.
 2013 07  9285.
 2013 08  25260·
 2013 09  47246.
 2013 10  50232·
 2013 11  61262·
 2013 12  89286.
 2014 01 71296·
 2014 02 54334.
 2014 03 93303·


 2014 04 79342.
 2014 05 89275·
 2014 06 66250·
 2014 07 17247·
 2014 08 40176·
 2014 09 78187·
 2014 10 93170·
 2014 11 70191·
 2014 12 41224.
 2015 01  37229·
 2015 02  67243·
 2015 03  16250·
 2015 04  76245·
 2015 05  92223·
 2015 06  44259·
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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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