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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 68125.
 2000 02 99115·
 2000 03 33119.
 2000 04 87122.
 2000 05 98123.
 2000 06 9134.
 2000 07 64150.
 2000 08 35135·
 2000 09 76118·
 2000 10 0122·
 2000 11 76128·
 2000 12 62149·
 2001 01  51162·
 2001 02  51162·
 2001 03  84146·
 2001 04  14149.
 2001 05  0138.
 2001 06  71125·
 2001 07  24153·
 2001 08  59193.
 2001 09  23177.
 2001 10  90169.
 2001 11  61193.
 2001 12  92205.
 2002 01 45170·
 2002 02 65170·
 2002 03 81163.
 2002 04 30121·
 2002 05 16124·
 2002 06 78128.
 2002 07 97143.
 2002 08 20172·
 2002 09 13157.
 2002 10 36152.
 2002 11 48160·
 2002 12 29146·
 2003 01  34158.
 2003 02  70143·
 2003 03  97163.
 2003 04  52138·
 2003 05  7138·
 2003 06  37150.
 2003 07  31155·
 2003 08  9155.
 2003 09  80127·
 2003 10  19128·
 2003 11  63123.
 2003 12  42192·
 2004 01 30177.
 2004 02 21184.
 2004 03 31192.
 2004 04 22143·
 2004 05 57153·
 2004 06 77177.
 2004 07 98173·
 2004 08 42211·
 2004 09 86199·
 2004 10 41207.
 2004 11 52194.
 2004 12 21225·
 2005 01  68188.
 2005 02  97159.
 2005 03  5185.
 2005 04  5177.
 2005 05  78172.
 2005 06  51189.
 2005 07  96184.
 2005 08  61161·
 2005 09  16184·
 2005 10  33152·
 2005 11  88162.
 2005 12  85168·
 2006 01 8154·
 2006 02 2159·
 2006 03 68186·
 2006 04 94197·
 2006 05 5194·
 2006 06 39206.
 2006 07 50171.
 2006 08 34163.
 2006 09 81129.
 2006 10 49136.
 2006 11 70146·
 2006 12 73148·
 2007 01  37135.
 2007 02  66127·
 2007 03  93138·
 2007 04  6137.
 2007 05  98149.
 2007 06  45146·
 2007 07  6169·
 2007 08  52157·
 2007 09  15154.
 2007 10  68193·
 2007 11  21154.
 2007 12  54149·
 2008 01 64161·
 2008 02 42151·
 2008 03 78148.
 2008 04 83138.
 2008 05 44188.
 2008 06 98193·
 2008 07 38216·
 2008 08 31251·
 2008 09 81188·
 2008 10 94187·
 2008 11 89180·
 2008 12 19193.
 2009 01  25183.
 2009 02  10231.
 2009 03  45252·
 2009 04  90248.
 2009 05  52248·
 2009 06  54226·
 2009 07  43204·
 2009 08  14201.
 2009 09  62199.
 2009 10  57216.
 2009 11  47251.
 2009 12  85243·
 2010 01 81227·
 2010 02 75255·
 2010 03 43269.
 2010 04 21255·
 2010 05 58311·
 2010 06 91282.
 2010 07 46245.
 2010 08 68274.
 2010 09 70232·
 2010 10 10226·
 2010 11 92220.
 2010 12 94189·
 2011 01  17167·
 2011 02  65180.
 2011 03  45184.
 2011 04  92190.
 2011 05  23210.
 2011 06  13251·
 2011 07  93261.
 2011 08  84306·
 2011 09  41253.
 2011 10  34252.
 2011 11  48214.
 2011 12  11221.
 2012 01 44203·
 2012 02 36200·
 2012 03 49214.
 2012 04 45242.
 2012 05 33268.
 2012 06 49249.
 2012 07 58305.
 2012 08 78261.
 2012 09 34224.
 2012 10 32233.
 2012 11 64227.
 2012 12 31267·
 2013 01  97289·
 2013 02  65318·
 2013 03  78301·
 2013 04  46309.
 2013 05  97290.


 2013 06  55254·
 2013 07  40285·
 2013 08  94260.
 2013 09  36246·
 2013 10  34232.
 2013 11  11262·
 2013 12  68286.
 2014 01 37296·
 2014 02 58334·
 2014 03 80303.
 2014 04 88342.
 2014 05 52275.
 2014 06 9250.
 2014 07 60247·
 2014 08 97176.
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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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