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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 76125.
 2000 02 43115.
 2000 03 64119·
 2000 04 90122·
 2000 05 99123·
 2000 06 68134.
 2000 07 81150·
 2000 08 46135.
 2000 09 56118·
 2000 10 61122.
 2000 11 67128.
 2000 12 70149·
 2001 01  0162.
 2001 02  2162.
 2001 03  36146.
 2001 04  5149·
 2001 05  4138·
 2001 06  99125·
 2001 07  26153·
 2001 08  21193·
 2001 09  70177.
 2001 10  82169·
 2001 11  99193·
 2001 12  12205·
 2002 01 22170·
 2002 02 10170·
 2002 03 43163.
 2002 04 97121·
 2002 05 11124.
 2002 06 63128.
 2002 07 71143·
 2002 08 20172·
 2002 09 12157·
 2002 10 48152.
 2002 11 21160·
 2002 12 50146·
 2003 01  27158.
 2003 02  97143·
 2003 03  56163.
 2003 04  81138·
 2003 05  79138.
 2003 06  66150·
 2003 07  64155·
 2003 08  33155.
 2003 09  21127.
 2003 10  37128·
 2003 11  57123·
 2003 12  50192.
 2004 01 26177·
 2004 02 17184.
 2004 03 74192.
 2004 04 1143.
 2004 05 96153·
 2004 06 36177·
 2004 07 78173.
 2004 08 79211.
 2004 09 55199.
 2004 10 53207·
 2004 11 56194.
 2004 12 5225·
 2005 01  55188.
 2005 02  49159·
 2005 03  21185·
 2005 04  22177·
 2005 05  70172.
 2005 06  29189.
 2005 07  11184.
 2005 08  99161·
 2005 09  1184.
 2005 10  27152.
 2005 11  89162.
 2005 12  31168·
 2006 01 73154·
 2006 02 98159·
 2006 03 44186·
 2006 04 36197.
 2006 05 37194·
 2006 06 24206·
 2006 07 87171.
 2006 08 59163.
 2006 09 69129·
 2006 10 11136.
 2006 11 56146.
 2006 12 69148.
 2007 01  67135·
 2007 02  93127·
 2007 03  15138·
 2007 04  61137·
 2007 05  59149.
 2007 06  24146.
 2007 07  52169·
 2007 08  52157·
 2007 09  94154·
 2007 10  87193.
 2007 11  79154.
 2007 12  88149.
 2008 01 48161·
 2008 02 88151·
 2008 03 35148.
 2008 04 37138·
 2008 05 20188·
 2008 06 59193·
 2008 07 81216·
 2008 08 94251·
 2008 09 38188.
 2008 10 57187.
 2008 11 7180.
 2008 12 78193.
 2009 01  50183·
 2009 02  63231.
 2009 03  24252·
 2009 04  33248·
 2009 05  32248·
 2009 06  83226.
 2009 07  71204.
 2009 08  28201·
 2009 09  85199.
 2009 10  51216.
 2009 11  11251.
 2009 12  57243·
 2010 01 34227·
 2010 02 21255·
 2010 03 32269·
 2010 04 39255·
 2010 05 29311·
 2010 06 76282·
 2010 07 46245.
 2010 08 19274·
 2010 09 46232.
 2010 10 23226·
 2010 11 91220.
 2010 12 66189.
 2011 01  86167·
 2011 02  93180.
 2011 03  31184.
 2011 04  73190.
 2011 05  73210·
 2011 06  42251.
 2011 07  53261.
 2011 08  60306.
 2011 09  58253.
 2011 10  53252.
 2011 11  70214.
 2011 12  71221.
 2012 01 16203.
 2012 02 32200·
 2012 03 19214·
 2012 04 76242.
 2012 05 48268·
 2012 06 11249.
 2012 07 65305.
 2012 08 67261.
 2012 09 79224·
 2012 10 46233·
 2012 11 95227·
 2012 12 66267.
 2013 01  60289·
 2013 02  18318·
 2013 03  21301·
 2013 04  14309·
 2013 05  66290.
 2013 06  36254.
 2013 07  81285.
 2013 08  83260.
 2013 09  97246.
 2013 10  29232·


 2013 11  39262·
 2013 12  66286·
 2014 01 79296·
 2014 02 55334.
 2014 03 82303·
 2014 04 81342·
 2014 05 61275·
 2014 06 96250.
 2014 07 24247·
 2014 08 74176·
 2014 09 21187.
 2014 10 58170.
 2014 11 1191.
 2014 12 13224·
 2015 01  57229·
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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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