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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 80125·
 2000 02 27115.
 2000 03 52119·
 2000 04 4122·
 2000 05 51123.
 2000 06 67134.
 2000 07 27150·
 2000 08 35135.
 2000 09 76118·
 2000 10 94122.
 2000 11 90128·
 2000 12 52149.
 2001 01  5162·
 2001 02  88162.
 2001 03  54146.
 2001 04  0149·
 2001 05  14138.
 2001 06  56125.
 2001 07  58153.
 2001 08  47193·
 2001 09  3177.
 2001 10  31169·
 2001 11  63193.
 2001 12  88205·
 2002 01 97170.
 2002 02 68170·
 2002 03 59163.
 2002 04 41121.
 2002 05 47124.
 2002 06 49128·
 2002 07 57143.
 2002 08 51172·
 2002 09 28157.
 2002 10 80152.
 2002 11 96160·
 2002 12 88146.
 2003 01  41158·
 2003 02  95143.
 2003 03  39163.
 2003 04  44138·
 2003 05  11138.
 2003 06  48150.
 2003 07  73155·
 2003 08  40155.
 2003 09  88127·
 2003 10  22128·
 2003 11  12123.
 2003 12  19192.
 2004 01 48177·
 2004 02 24184·
 2004 03 93192·
 2004 04 51143·
 2004 05 91153.
 2004 06 84177.
 2004 07 79173·
 2004 08 29211.
 2004 09 42199·
 2004 10 60207.
 2004 11 59194·
 2004 12 73225.
 2005 01  53188·
 2005 02  34159.
 2005 03  44185.
 2005 04  28177.
 2005 05  97172.
 2005 06  11189.
 2005 07  73184·
 2005 08  61161·
 2005 09  77184.
 2005 10  24152·
 2005 11  9162.
 2005 12  68168·
 2006 01 16154·
 2006 02 29159.
 2006 03 40186.
 2006 04 67197·
 2006 05 66194·
 2006 06 8206·
 2006 07 78171·
 2006 08 2163.
 2006 09 2129.
 2006 10 68136·
 2006 11 62146.
 2006 12 44148·
 2007 01  24135.
 2007 02  39127.
 2007 03  53138·
 2007 04  85137.
 2007 05  58149.
 2007 06  80146·
 2007 07  42169.
 2007 08  45157.
 2007 09  54154·
 2007 10  71193.
 2007 11  39154.
 2007 12  68149·
 2008 01 87161.
 2008 02 19151.
 2008 03 83148.
 2008 04 24138.
 2008 05 58188.
 2008 06 55193·
 2008 07 37216·
 2008 08 6251.
 2008 09 92188.
 2008 10 37187·
 2008 11 89180·
 2008 12 33193·
 2009 01  40183·
 2009 02  46231.
 2009 03  52252·
 2009 04  50248·
 2009 05  77248·
 2009 06  89226·
 2009 07  63204.
 2009 08  26201·
 2009 09  3199.
 2009 10  97216.
 2009 11  86251.
 2009 12  55243.
 2010 01 44227.
 2010 02 27255·
 2010 03 8269·
 2010 04 56255·
 2010 05 51311·
 2010 06 60282.
 2010 07 42245.
 2010 08 73274·
 2010 09 97232·
 2010 10 3226.
 2010 11 27220·
 2010 12 76189.
 2011 01  85167·
 2011 02  89180·
 2011 03  24184·
 2011 04  58190·
 2011 05  39210·
 2011 06  72251·
 2011 07  22261·
 2011 08  39306.
 2011 09  10253·
 2011 10  36252.
 2011 11  34214.
 2011 12  63221·
 2012 01 73203.
 2012 02 87200·
 2012 03 98214.
 2012 04 98242.
 2012 05 28268.
 2012 06 56249·
 2012 07 77305.
 2012 08 40261·
 2012 09 2224.
 2012 10 0233.
 2012 11 57227·
 2012 12 7267·
 2013 01  43289.
 2013 02  1318.
 2013 03  54301.
 2013 04  43309.
 2013 05  29290·
 2013 06  65254·
 2013 07  3285·
 2013 08  18260·
 2013 09  58246·
 2013 10  24232.
 2013 11  69262.
 2013 12  25286.
 2014 01 57296.
 2014 02 34334.
 2014 03 38303·
 2014 04 84342.
 2014 05 75275·
 2014 06 78250·
 2014 07 25247.
 2014 08 40176.
 2014 09 89187.
 2014 10 62170·
 2014 11 66191.
 2014 12 60224.
 2015 01  99229·
 2015 02  17243·
 2015 03  26250·
 2015 04  39245·
 2015 05  30223.


 2015 06  1259.
 2015 07  90281·
 2015 08  97273·
 2015 09  32237.
 2015 10  94260·
 2015 11  73233·
 2015 12  77219·
 2016 01 80237.
 2016 02 3239.
 2016 03 13225·
 2016 04 49248·
 2016 05 76262.
 2016 06 61237.
 2016 07 72256.
 2016 08 7223·
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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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