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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 29125·
 2000 02 56115.
 2000 03 28119·
 2000 04 77122.
 2000 05 62123·
 2000 06 43134.
 2000 07 83150.
 2000 08 73135·
 2000 09 87118·
 2000 10 54122·
 2000 11 65128·
 2000 12 94149.
 2001 01  53162.
 2001 02  70162·
 2001 03  85146·
 2001 04  82149.
 2001 05  37138.
 2001 06  98125·
 2001 07  82153.
 2001 08  7193.
 2001 09  38177.
 2001 10  69169.
 2001 11  19193.
 2001 12  63205·
 2002 01 82170.
 2002 02 40170.
 2002 03 83163.
 2002 04 69121.
 2002 05 19124·
 2002 06 92128.
 2002 07 87143·
 2002 08 70172·
 2002 09 25157.
 2002 10 33152·
 2002 11 70160·
 2002 12 34146.
 2003 01  0158.
 2003 02  94143·
 2003 03  94163·
 2003 04  56138·
 2003 05  70138.
 2003 06  32150.
 2003 07  46155.
 2003 08  55155.
 2003 09  84127·
 2003 10  28128·
 2003 11  41123.
 2003 12  74192·
 2004 01 19177.
 2004 02 88184.
 2004 03 16192·
 2004 04 84143.
 2004 05 74153·
 2004 06 45177.
 2004 07 33173.
 2004 08 78211·
 2004 09 76199·
 2004 10 56207·
 2004 11 81194.
 2004 12 75225.
 2005 01  73188·
 2005 02  1159·
 2005 03  72185.
 2005 04  20177.
 2005 05  43172·
 2005 06  87189·
 2005 07  45184.
 2005 08  81161.
 2005 09  85184.
 2005 10  47152.
 2005 11  62162.
 2005 12  53168.
 2006 01 24154·
 2006 02 36159.
 2006 03 11186·
 2006 04 55197.
 2006 05 11194.
 2006 06 37206·
 2006 07 6171.
 2006 08 31163.
 2006 09 22129·
 2006 10 56136.
 2006 11 83146·
 2006 12 50148·
 2007 01  56135·
 2007 02  24127·
 2007 03  6138.
 2007 04  7137·
 2007 05  40149·
 2007 06  99146.
 2007 07  63169.
 2007 08  20157·
 2007 09  23154·
 2007 10  61193.
 2007 11  66154·
 2007 12  34149.
 2008 01 81161·
 2008 02 19151·
 2008 03 54148·
 2008 04 17138.
 2008 05 14188·
 2008 06 2193.
 2008 07 89216·
 2008 08 65251·
 2008 09 48188·
 2008 10 68187.
 2008 11 59180·
 2008 12 95193·
 2009 01  34183·
 2009 02  99231·
 2009 03  78252·
 2009 04  53248·
 2009 05  45248·
 2009 06  0226.
 2009 07  83204.
 2009 08  6201.
 2009 09  84199.
 2009 10  5216.
 2009 11  37251.
 2009 12  51243·
 2010 01 75227·
 2010 02 69255.
 2010 03 27269·
 2010 04 5255·
 2010 05 68311.
 2010 06 74282.
 2010 07 68245·
 2010 08 12274·
 2010 09 40232.
 2010 10 27226·
 2010 11 95220·
 2010 12 43189.
 2011 01  90167·
 2011 02  59180.
 2011 03  74184.
 2011 04  91190·
 2011 05  44210.
 2011 06  27251.
 2011 07  91261.
 2011 08  74306·
 2011 09  52253.
 2011 10  12252·
 2011 11  59214.
 2011 12  38221·
 2012 01 90203.
 2012 02 22200.
 2012 03 16214·
 2012 04 52242.
 2012 05 57268.
 2012 06 88249·
 2012 07 26305.
 2012 08 9261.
 2012 09 80224·
 2012 10 66233·
 2012 11 75227.
 2012 12 29267·
 2013 01  9289·
 2013 02  38318.
 2013 03  77301.
 2013 04  55309·
 2013 05  19290.
 2013 06  12254·
 2013 07  70285·
 2013 08  58260.
 2013 09  11246.
 2013 10  17232·
 2013 11  17262·
 2013 12  31286.
 2014 01 10296.
 2014 02 12334·
 2014 03 5303·
 2014 04 93342.
 2014 05 66275·
 2014 06 78250.
 2014 07 48247·
 2014 08 89176·
 2014 09 54187.
 2014 10 20170.
 2014 11 83191·
 2014 12 87224·
 2015 01  76229·
 2015 02  72243·
 2015 03  73250.
 2015 04  82245.
 2015 05  57223·
 2015 06  90259·
 2015 07  6281.
 2015 08  92273·
 2015 09  46237·
 2015 10  55260·
 2015 11  96233·
 2015 12  63219·
 2016 01 20237.
 2016 02 73239.
 2016 03 79225.
 2016 04 63248·
 2016 05 78262.
 2016 06 78237·
 2016 07 19256.
 2016 08 86223·
 2016 09 46246.


 2016 10 24258·
 2016 11 3273.
 2016 12 51243.
 2017 01  75229.
 2017 02  95240·
 2017 03  45233·
 2017 04  3250.
 2017 05  40239.
 2017 06  96237·
 2017 07  83255.
 2017 08  11258.
 2017 09  41221·
 2017 10  59221.
 2017 11  79185·
 2017 12  69209·
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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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