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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 54125·
 2000 02 1115.
 2000 03 52119.
 2000 04 86122.
 2000 05 4123.
 2000 06 9134.
 2000 07 9150.
 2000 08 38135·
 2000 09 14118.
 2000 10 10122·
 2000 11 60128.
 2000 12 82149.
 2001 01  34162.
 2001 02  84162.
 2001 03  18146.
 2001 04  63149·
 2001 05  40138.
 2001 06  39125.
 2001 07  22153·
 2001 08  50193.
 2001 09  32177·
 2001 10  6169·
 2001 11  34193·
 2001 12  36205.
 2002 01 37170.
 2002 02 42170.
 2002 03 43163.
 2002 04 42121·
 2002 05 3124.
 2002 06 28128·
 2002 07 60143.
 2002 08 10172·
 2002 09 6157·
 2002 10 71152.
 2002 11 25160·
 2002 12 11146·
 2003 01  48158·
 2003 02  3143.
 2003 03  0163·
 2003 04  39138.
 2003 05  52138.
 2003 06  80150.
 2003 07  72155·
 2003 08  11155.
 2003 09  70127·
 2003 10  85128·
 2003 11  55123.
 2003 12  74192·
 2004 01 78177.
 2004 02 23184·
 2004 03 86192·
 2004 04 95143.
 2004 05 74153·
 2004 06 26177·
 2004 07 29173.
 2004 08 69211.
 2004 09 86199.
 2004 10 51207.
 2004 11 72194.
 2004 12 16225.
 2005 01  62188·
 2005 02  79159·
 2005 03  26185·
 2005 04  78177·
 2005 05  79172.
 2005 06  18189·
 2005 07  31184·
 2005 08  26161·
 2005 09  37184·
 2005 10  99152.
 2005 11  49162·
 2005 12  54168·
 2006 01 62154·
 2006 02 78159.
 2006 03 67186.
 2006 04 80197·
 2006 05 3194.
 2006 06 37206.
 2006 07 0171·
 2006 08 49163·
 2006 09 36129·
 2006 10 83136.
 2006 11 84146·
 2006 12 30148.
 2007 01  62135·
 2007 02  47127.
 2007 03  83138.
 2007 04  17137.
 2007 05  5149.
 2007 06  87146·
 2007 07  84169·
 2007 08  29157·
 2007 09  17154.
 2007 10  83193.
 2007 11  0154·
 2007 12  10149·
 2008 01 73161.
 2008 02 42151.
 2008 03 70148·
 2008 04 30138·
 2008 05 72188.
 2008 06 97193·
 2008 07 56216·
 2008 08 83251·
 2008 09 42188·
 2008 10 2187.
 2008 11 46180·
 2008 12 88193.
 2009 01  31183·
 2009 02  42231·
 2009 03  53252·
 2009 04  88248.
 2009 05  15248.
 2009 06  21226·
 2009 07  14204.
 2009 08  54201.
 2009 09  95199.
 2009 10  71216·
 2009 11  94251·
 2009 12  78243·
 2010 01 96227.
 2010 02 50255.
 2010 03 79269.
 2010 04 81255.
 2010 05 68311.
 2010 06 38282·
 2010 07 82245·
 2010 08 7274.
 2010 09 87232·
 2010 10 43226.
 2010 11 42220·
 2010 12 24189.
 2011 01  53167·
 2011 02  96180.
 2011 03  21184·
 2011 04  27190·
 2011 05  92210.
 2011 06  54251.
 2011 07  8261·
 2011 08  35306·
 2011 09  54253.
 2011 10  98252.
 2011 11  14214·
 2011 12  92221·
 2012 01 15203·
 2012 02 35200·
 2012 03 78214·
 2012 04 67242.
 2012 05 74268.
 2012 06 97249.
 2012 07 63305.
 2012 08 54261·
 2012 09 57224.
 2012 10 40233.
 2012 11 57227·
 2012 12 73267·
 2013 01  14289·
 2013 02  46318.
 2013 03  73301·
 2013 04  68309·
 2013 05  22290.
 2013 06  21254.
 2013 07  48285.
 2013 08  7260.
 2013 09  80246·
 2013 10  98232.
 2013 11  45262.
 2013 12  85286.
 2014 01 14296.
 2014 02 32334.
 2014 03 53303·
 2014 04 22342.
 2014 05 74275·
 2014 06 6250.
 2014 07 84247.
 2014 08 60176·
 2014 09 35187.
 2014 10 27170·
 2014 11 75191·
 2014 12 70224·
 2015 01  98229·
 2015 02  24243·
 2015 03  91250·


 2015 04  45245.
 2015 05  89223·
 2015 06  57259.
 2015 07  19281·
 2015 08  5273.
 2015 09  57237·
 2015 10  5260.
 2015 11  71233·
 2015 12  93219.
 2016 01 78237·
 2016 02 76239·
 2016 03 86225.
 2016 04 80248.
 2016 05 52262.
 2016 06 1237·
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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
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