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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 67125·
 2000 02 40115·
 2000 03 32119·
 2000 04 72122·
 2000 05 12123·
 2000 06 5134·
 2000 07 8150.
 2000 08 6135·
 2000 09 66118·
 2000 10 12122·
 2000 11 28128·
 2000 12 82149·
 2001 01  81162·
 2001 02  44162·
 2001 03  6146.
 2001 04  45149.
 2001 05  32138.
 2001 06  6125.
 2001 07  80153·
 2001 08  64193.
 2001 09  19177·
 2001 10  30169·
 2001 11  11193·
 2001 12  32205.
 2002 01 67170.
 2002 02 72170·
 2002 03 90163·
 2002 04 70121.
 2002 05 28124.
 2002 06 16128·
 2002 07 27143·
 2002 08 21172·
 2002 09 76157·
 2002 10 66152.
 2002 11 61160.
 2002 12 53146.
 2003 01  12158.
 2003 02  55143·
 2003 03  55163·
 2003 04  63138.
 2003 05  61138.
 2003 06  39150·
 2003 07  97155·
 2003 08  68155.
 2003 09  74127.
 2003 10  1128·
 2003 11  99123·
 2003 12  12192·
 2004 01 25177·
 2004 02 46184·
 2004 03 0192.
 2004 04 65143.
 2004 05 17153·
 2004 06 6177.
 2004 07 63173.
 2004 08 22211.
 2004 09 72199·
 2004 10 38207·
 2004 11 75194·
 2004 12 0225·
 2005 01  43188·
 2005 02  23159·
 2005 03  49185·
 2005 04  45177.
 2005 05  5172·
 2005 06  69189·
 2005 07  23184·
 2005 08  25161·
 2005 09  58184.
 2005 10  7152·
 2005 11  60162·
 2005 12  34168.
 2006 01 27154·
 2006 02 93159·
 2006 03 48186·
 2006 04 92197·
 2006 05 62194·
 2006 06 9206·
 2006 07 0171.
 2006 08 43163.
 2006 09 40129.
 2006 10 62136.
 2006 11 54146.
 2006 12 56148.
 2007 01  60135.
 2007 02  84127·
 2007 03  72138.
 2007 04  25137·
 2007 05  48149·
 2007 06  30146.
 2007 07  43169.
 2007 08  69157·
 2007 09  55154.
 2007 10  83193·
 2007 11  79154.
 2007 12  33149.
 2008 01 55161·
 2008 02 50151.
 2008 03 18148·
 2008 04 85138.
 2008 05 49188.
 2008 06 61193.
 2008 07 24216.
 2008 08 20251.
 2008 09 63188·
 2008 10 74187.
 2008 11 83180·
 2008 12 56193·
 2009 01  46183·
 2009 02  70231.
 2009 03  10252·
 2009 04  39248·
 2009 05  75248.
 2009 06  56226.
 2009 07  41204·
 2009 08  36201.
 2009 09  50199·
 2009 10  64216·
 2009 11  40251·
 2009 12  43243.
 2010 01 95227·
 2010 02 49255.
 2010 03 94269.
 2010 04 78255.
 2010 05 62311.
 2010 06 95282.
 2010 07 17245.
 2010 08 86274·
 2010 09 26232.
 2010 10 7226·
 2010 11 47220·
 2010 12 35189.
 2011 01  86167·
 2011 02  17180.
 2011 03  45184·
 2011 04  20190.
 2011 05  70210.
 2011 06  82251.
 2011 07  1261·
 2011 08  60306.
 2011 09  26253.
 2011 10  83252·
 2011 11  27214·
 2011 12  99221.
 2012 01 31203·
 2012 02 27200·
 2012 03 61214.
 2012 04 6242·
 2012 05 85268.
 2012 06 46249.
 2012 07 66305·
 2012 08 75261.
 2012 09 12224·
 2012 10 96233.
 2012 11 29227.
 2012 12 26267.
 2013 01  65289.
 2013 02  59318·
 2013 03  64301.
 2013 04  3309.
 2013 05  17290·
 2013 06  41254·
 2013 07  8285·
 2013 08  74260·
 2013 09  69246·
 2013 10  75232.
 2013 11  25262.
 2013 12  35286·
 2014 01 48296.
 2014 02 16334·
 2014 03 2303.
 2014 04 3342.
 2014 05 2275·
 2014 06 47250·
 2014 07 53247.
 2014 08 23176·
 2014 09 8187·
 2014 10 75170·
 2014 11 14191·
 2014 12 65224.
 2015 01  65229·
 2015 02  29243·
 2015 03  50250.
 2015 04  22245.
 2015 05  0223·
 2015 06  69259·
 2015 07  47281.
 2015 08  14273·
 2015 09  63237·
 2015 10  74260.
 2015 11  19233·
 2015 12  85219.
 2016 01 29237.
 2016 02 52239.


 2016 03 3225.
 2016 04 3248·
 2016 05 98262.
 2016 06 35237.
 2016 07 63256.
 2016 08 64223.
 2016 09 96246·
 2016 10 78258.
 2016 11 87273.
 2016 12 85243.
 2017 01  73229·
 2017 02  64240·
 2017 03  87233·
 2017 04  12250·
 2017 05  5239·
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Similar Series

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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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