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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 39125.
 2000 02 6115.
 2000 03 11119·
 2000 04 56122.
 2000 05 67123.
 2000 06 74134·
 2000 07 8150.
 2000 08 30135·
 2000 09 81118·
 2000 10 60122·
 2000 11 25128·
 2000 12 21149.
 2001 01  29162.
 2001 02  44162·
 2001 03  75146.
 2001 04  75149·
 2001 05  89138.
 2001 06  33125·
 2001 07  95153.
 2001 08  59193.
 2001 09  60177.
 2001 10  60169.
 2001 11  48193·
 2001 12  67205.
 2002 01 68170·
 2002 02 81170·
 2002 03 23163·
 2002 04 20121.
 2002 05 62124·
 2002 06 77128·
 2002 07 31143.
 2002 08 61172.
 2002 09 19157·
 2002 10 55152.
 2002 11 12160.
 2002 12 59146.
 2003 01  39158·
 2003 02  46143·
 2003 03  27163.
 2003 04  9138·
 2003 05  47138.
 2003 06  8150.
 2003 07  66155.
 2003 08  29155·
 2003 09  94127·
 2003 10  22128.
 2003 11  40123·
 2003 12  63192.
 2004 01 55177.
 2004 02 95184·
 2004 03 87192.
 2004 04 82143·
 2004 05 30153.
 2004 06 58177·
 2004 07 71173.
 2004 08 78211.
 2004 09 45199·
 2004 10 68207.
 2004 11 79194.
 2004 12 72225.
 2005 01  50188.
 2005 02  6159.
 2005 03  25185.
 2005 04  7177·
 2005 05  20172.
 2005 06  80189·
 2005 07  46184·
 2005 08  52161·
 2005 09  57184·
 2005 10  20152·
 2005 11  4162.
 2005 12  2168·
 2006 01 85154·
 2006 02 84159·
 2006 03 89186.
 2006 04 75197·
 2006 05 54194·
 2006 06 53206.
 2006 07 13171·
 2006 08 16163.
 2006 09 41129·
 2006 10 34136.
 2006 11 13146.
 2006 12 94148.
 2007 01  45135.
 2007 02  58127·
 2007 03  52138.
 2007 04  4137.
 2007 05  93149·
 2007 06  82146.
 2007 07  20169.
 2007 08  63157·
 2007 09  33154·
 2007 10  88193·
 2007 11  27154.
 2007 12  17149.
 2008 01 42161.
 2008 02 82151·
 2008 03 13148·
 2008 04 34138·
 2008 05 20188·
 2008 06 96193.
 2008 07 40216·
 2008 08 9251·
 2008 09 93188.
 2008 10 87187.
 2008 11 96180.
 2008 12 61193.
 2009 01  10183·
 2009 02  36231.
 2009 03  94252.
 2009 04  34248.
 2009 05  48248·
 2009 06  49226·
 2009 07  71204.
 2009 08  97201·
 2009 09  7199·
 2009 10  60216.
 2009 11  92251·
 2009 12  44243.
 2010 01 11227·
 2010 02 23255·
 2010 03 43269·
 2010 04 94255·
 2010 05 12311·
 2010 06 21282·
 2010 07 37245.
 2010 08 92274.
 2010 09 85232·
 2010 10 61226·
 2010 11 13220.
 2010 12 6189.
 2011 01  29167·
 2011 02  74180·
 2011 03  33184·
 2011 04  31190·
 2011 05  72210.
 2011 06  16251·
 2011 07  86261·
 2011 08  87306·
 2011 09  62253.
 2011 10  70252.
 2011 11  83214.
 2011 12  16221·
 2012 01 76203.
 2012 02 42200·
 2012 03 63214.
 2012 04 88242.
 2012 05 14268.
 2012 06 64249·
 2012 07 90305·
 2012 08 98261·
 2012 09 0224·
 2012 10 91233.
 2012 11 49227·
 2012 12 64267·
 2013 01  87289.
 2013 02  7318·
 2013 03  56301.
 2013 04  31309.
 2013 05  48290.
 2013 06  17254.


 2013 07  47285.
 2013 08  67260·
 2013 09  84246.
 2013 10  54232.
 2013 11  85262.
 2013 12  68286.
 2014 01 21296.
 2014 02 73334·
 2014 03 59303·
 2014 04 51342.
 2014 05 10275·
 2014 06 57250·
 2014 07 81247·
 2014 08 62176·
 2014 09 25187.
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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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