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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 73125·
 2000 02 8115.
 2000 03 4119·
 2000 04 71122.
 2000 05 40123.
 2000 06 48134.
 2000 07 31150.
 2000 08 57135·
 2000 09 74118.
 2000 10 86122.
 2000 11 59128.
 2000 12 43149·
 2001 01  24162·
 2001 02  5162·
 2001 03  1146.
 2001 04  71149·
 2001 05  67138.
 2001 06  10125·
 2001 07  95153.
 2001 08  12193·
 2001 09  2177·
 2001 10  34169·
 2001 11  3193.
 2001 12  58205.
 2002 01 55170.
 2002 02 33170·
 2002 03 13163·
 2002 04 29121.
 2002 05 76124·
 2002 06 88128·
 2002 07 39143·
 2002 08 70172·
 2002 09 41157.
 2002 10 7152.
 2002 11 18160·
 2002 12 50146.
 2003 01  51158.
 2003 02  21143.
 2003 03  14163·
 2003 04  62138·
 2003 05  29138·
 2003 06  86150.
 2003 07  13155·
 2003 08  26155.
 2003 09  27127·
 2003 10  85128.
 2003 11  29123·
 2003 12  86192.
 2004 01 21177.
 2004 02 23184·
 2004 03 0192.
 2004 04 11143·
 2004 05 10153·
 2004 06 33177·
 2004 07 89173·
 2004 08 95211·
 2004 09 21199.
 2004 10 71207·
 2004 11 84194.
 2004 12 57225·
 2005 01  2188.
 2005 02  19159·
 2005 03  96185.
 2005 04  42177.
 2005 05  31172·
 2005 06  83189·
 2005 07  66184·
 2005 08  19161·
 2005 09  6184·
 2005 10  95152.
 2005 11  54162.
 2005 12  81168·
 2006 01 55154.
 2006 02 13159·
 2006 03 50186.
 2006 04 48197·
 2006 05 26194·
 2006 06 16206·
 2006 07 66171.
 2006 08 64163.
 2006 09 96129·
 2006 10 12136.
 2006 11 39146·
 2006 12 99148.
 2007 01  64135·
 2007 02  34127.
 2007 03  34138·
 2007 04  46137.
 2007 05  57149.
 2007 06  36146·
 2007 07  37169.
 2007 08  24157·
 2007 09  24154·
 2007 10  1193.
 2007 11  62154.
 2007 12  78149.
 2008 01 41161·
 2008 02 36151·
 2008 03 46148·
 2008 04 77138.
 2008 05 8188·
 2008 06 72193.
 2008 07 53216·
 2008 08 14251·
 2008 09 51188.
 2008 10 66187.
 2008 11 70180.
 2008 12 10193·
 2009 01  20183·
 2009 02  99231.
 2009 03  10252·
 2009 04  8248.
 2009 05  91248·
 2009 06  79226.
 2009 07  11204.
 2009 08  77201.
 2009 09  64199.
 2009 10  36216·
 2009 11  37251·
 2009 12  11243·
 2010 01 63227.
 2010 02 28255·
 2010 03 74269·
 2010 04 31255.
 2010 05 41311.
 2010 06 36282·
 2010 07 35245.
 2010 08 79274.
 2010 09 72232·
 2010 10 66226.
 2010 11 60220.
 2010 12 24189.
 2011 01  56167·
 2011 02  51180.
 2011 03  10184·
 2011 04  62190.
 2011 05  18210.
 2011 06  46251.
 2011 07  73261.
 2011 08  11306.
 2011 09  10253.
 2011 10  35252.
 2011 11  63214.
 2011 12  15221·
 2012 01 7203.
 2012 02 22200.
 2012 03 17214·
 2012 04 44242.
 2012 05 9268.
 2012 06 41249·
 2012 07 97305·
 2012 08 92261.
 2012 09 41224.
 2012 10 47233.
 2012 11 93227.
 2012 12 77267.
 2013 01  54289·
 2013 02  22318.
 2013 03  17301·
 2013 04  43309.
 2013 05  23290·
 2013 06  73254·
 2013 07  7285.
 2013 08  61260·
 2013 09  49246.
 2013 10  31232·
 2013 11  25262·
 2013 12  24286.
 2014 01 56296·
 2014 02 54334.
 2014 03 59303·
 2014 04 52342.
 2014 05 96275·
 2014 06 22250.
 2014 07 24247·
 2014 08 88176.
 2014 09 44187·
 2014 10 43170.
 2014 11 55191·
 2014 12 1224.
 2015 01  0229.
 2015 02  47243.
 2015 03  17250.
 2015 04  86245·
 2015 05  89223·
 2015 06  93259·
 2015 07  96281·
 2015 08  62273·
 2015 09  63237.
 2015 10  60260.
 2015 11  7233.
 2015 12  73219·
 2016 01 95237·
 2016 02 57239.
 2016 03 87225·
 2016 04 88248·
 2016 05 87262.
 2016 06 14237.


 2016 07 98256·
 2016 08 1223.
 2016 09 65246.
 2016 10 88258·
 2016 11 29273·
 2016 12 32243.
 2017 01  78229.
 2017 02  61240.
 2017 03  93233.
 2017 04  24250·
 2017 05  1239·
 2017 06  40237.
 2017 07  27255.
 2017 08  47258.
 2017 09  36221·
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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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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