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 Series Title: Employment Level: Mexican, Protective Service Occupations: NSA
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 2000 01 65125·
 2000 02 34115.
 2000 03 65119.
 2000 04 62122·
 2000 05 50123·
 2000 06 58134·
 2000 07 19150·
 2000 08 92135·
 2000 09 19118·
 2000 10 0122.
 2000 11 92128.
 2000 12 40149.
 2001 01  24162.
 2001 02  40162·
 2001 03  98146.
 2001 04  49149.
 2001 05  40138.
 2001 06  86125·
 2001 07  74153·
 2001 08  90193·
 2001 09  67177·
 2001 10  69169.
 2001 11  84193.
 2001 12  55205·
 2002 01 31170.
 2002 02 46170.
 2002 03 14163·
 2002 04 64121.
 2002 05 82124.
 2002 06 98128.
 2002 07 79143.
 2002 08 61172.
 2002 09 96157·
 2002 10 32152·
 2002 11 16160.
 2002 12 15146.
 2003 01  72158·
 2003 02  80143·
 2003 03  88163·
 2003 04  21138.
 2003 05  36138·
 2003 06  99150.
 2003 07  82155·
 2003 08  97155.
 2003 09  39127.
 2003 10  69128.
 2003 11  13123.
 2003 12  88192.
 2004 01 56177.
 2004 02 98184.
 2004 03 17192.
 2004 04 63143·
 2004 05 87153.
 2004 06 17177.
 2004 07 57173.
 2004 08 16211.
 2004 09 58199·
 2004 10 83207·
 2004 11 21194.
 2004 12 65225.
 2005 01  20188.
 2005 02  78159.
 2005 03  23185·
 2005 04  56177.
 2005 05  47172·
 2005 06  8189·
 2005 07  0184.
 2005 08  58161·
 2005 09  39184.
 2005 10  4152·
 2005 11  15162.
 2005 12  64168·
 2006 01 24154·
 2006 02 24159.
 2006 03 56186.
 2006 04 94197·
 2006 05 49194·
 2006 06 50206.
 2006 07 36171·
 2006 08 91163·
 2006 09 92129.
 2006 10 87136.
 2006 11 92146·
 2006 12 25148·
 2007 01  53135·
 2007 02  67127·
 2007 03  88138.
 2007 04  91137.
 2007 05  56149·
 2007 06  47146·
 2007 07  11169·
 2007 08  7157.
 2007 09  53154.
 2007 10  9193·
 2007 11  75154.
 2007 12  17149.
 2008 01 18161.
 2008 02 60151·
 2008 03 17148·
 2008 04 90138·
 2008 05 53188·
 2008 06 30193.
 2008 07 1216.
 2008 08 22251·
 2008 09 82188.
 2008 10 77187.
 2008 11 13180·
 2008 12 30193·
 2009 01  55183.
 2009 02  82231·
 2009 03  67252·
 2009 04  59248.
 2009 05  49248·
 2009 06  52226.
 2009 07  1204·
 2009 08  78201·
 2009 09  64199·
 2009 10  19216·
 2009 11  78251.
 2009 12  81243.
 2010 01 25227.
 2010 02 39255.
 2010 03 85269.
 2010 04 87255·
 2010 05 82311·
 2010 06 93282·
 2010 07 36245·
 2010 08 41274·
 2010 09 11232.
 2010 10 89226·
 2010 11 68220·
 2010 12 12189·
 2011 01  12167.
 2011 02  58180.
 2011 03  44184·
 2011 04  94190·
 2011 05  11210.
 2011 06  57251.
 2011 07  53261·
 2011 08  5306·
 2011 09  57253.
 2011 10  67252·
 2011 11  6214·
 2011 12  90221·
 2012 01 27203.
 2012 02 95200.
 2012 03 43214·
 2012 04 19242·
 2012 05 21268·
 2012 06 73249·
 2012 07 25305·
 2012 08 85261.
 2012 09 64224.
 2012 10 57233.
 2012 11 41227.
 2012 12 8267·
 2013 01  7289.
 2013 02  29318.
 2013 03  4301.
 2013 04  31309.
 2013 05  24290.
 2013 06  95254·
 2013 07  51285.
 2013 08  23260.
 2013 09  17246.
 2013 10  88232.
 2013 11  46262·
 2013 12  80286.
 2014 01 10296·
 2014 02 63334.
 2014 03 76303·
 2014 04 20342·
 2014 05 55275.
 2014 06 3250.
 2014 07 54247.
 2014 08 87176·
 2014 09 26187·
 2014 10 14170.
 2014 11 18191·
 2014 12 50224.


 2015 01  24229·
 2015 02  28243·
 2015 03  31250·
 2015 04  4245·
 2015 05  74223·
 2015 06  2259.
 2015 07  81281.
 2015 08  67273.
 2015 09  27237·
 2015 10  16260.
 2015 11  81233·
 2015 12  84219.
 2016 01 58237.
 2016 02 78239.
 2016 03 68225·
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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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