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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 59125.
 2000 02 55115.
 2000 03 13119·
 2000 04 73122·
 2000 05 99123.
 2000 06 57134.
 2000 07 16150·
 2000 08 74135·
 2000 09 11118·
 2000 10 63122.
 2000 11 26128.
 2000 12 80149.
 2001 01  46162·
 2001 02  55162·
 2001 03  55146.
 2001 04  36149·
 2001 05  80138.
 2001 06  41125.
 2001 07  43153·
 2001 08  9193.
 2001 09  12177·
 2001 10  51169.
 2001 11  52193·
 2001 12  95205.
 2002 01 69170·
 2002 02 42170.
 2002 03 69163.
 2002 04 13121·
 2002 05 0124.
 2002 06 97128.
 2002 07 8143.
 2002 08 6172·
 2002 09 81157.
 2002 10 21152·
 2002 11 6160·
 2002 12 43146·
 2003 01  13158.
 2003 02  46143·
 2003 03  27163·
 2003 04  20138·
 2003 05  20138.
 2003 06  29150·
 2003 07  58155.
 2003 08  55155·
 2003 09  53127.
 2003 10  51128.
 2003 11  12123·
 2003 12  92192.
 2004 01 88177·
 2004 02 20184·
 2004 03 28192·
 2004 04 0143·
 2004 05 25153·
 2004 06 66177.
 2004 07 67173·
 2004 08 73211.
 2004 09 88199.
 2004 10 47207·
 2004 11 18194·
 2004 12 32225·
 2005 01  30188·
 2005 02  44159.
 2005 03  94185·
 2005 04  19177.
 2005 05  25172.
 2005 06  63189·
 2005 07  32184·
 2005 08  4161.
 2005 09  73184.
 2005 10  37152·
 2005 11  96162.
 2005 12  80168·
 2006 01 0154·
 2006 02 22159·
 2006 03 74186·
 2006 04 68197·
 2006 05 56194·
 2006 06 99206·
 2006 07 77171·
 2006 08 12163·
 2006 09 16129.
 2006 10 76136·
 2006 11 45146.
 2006 12 80148.
 2007 01  82135.
 2007 02  83127·
 2007 03  40138.
 2007 04  66137.
 2007 05  78149.
 2007 06  78146·
 2007 07  50169·
 2007 08  90157·
 2007 09  55154.
 2007 10  42193·
 2007 11  88154·
 2007 12  96149·
 2008 01 89161.
 2008 02 82151·
 2008 03 92148.
 2008 04 53138·
 2008 05 78188.
 2008 06 30193.
 2008 07 24216·
 2008 08 55251.
 2008 09 50188.
 2008 10 42187·
 2008 11 73180·
 2008 12 22193·
 2009 01  54183·
 2009 02  99231.
 2009 03  51252·
 2009 04  97248·
 2009 05  66248.
 2009 06  9226·
 2009 07  96204·
 2009 08  49201·
 2009 09  86199·
 2009 10  2216·
 2009 11  72251·
 2009 12  73243·
 2010 01 39227·
 2010 02 37255.
 2010 03 66269.
 2010 04 88255·
 2010 05 76311·
 2010 06 93282.
 2010 07 91245.
 2010 08 38274·
 2010 09 73232·
 2010 10 79226·
 2010 11 84220·
 2010 12 92189·
 2011 01  30167·
 2011 02  25180·
 2011 03  10184.
 2011 04  45190·
 2011 05  71210.
 2011 06  88251·
 2011 07  55261·
 2011 08  14306·
 2011 09  48253·
 2011 10  51252.
 2011 11  32214·
 2011 12  46221·
 2012 01 36203·
 2012 02 18200·
 2012 03 81214·
 2012 04 8242·
 2012 05 35268.
 2012 06 23249·
 2012 07 62305.
 2012 08 95261.
 2012 09 71224·
 2012 10 22233.
 2012 11 65227·
 2012 12 25267.
 2013 01  93289.
 2013 02  96318·
 2013 03  1301·
 2013 04  44309·
 2013 05  79290·
 2013 06  52254·
 2013 07  10285.
 2013 08  21260.
 2013 09  27246·
 2013 10  22232·
 2013 11  54262.
 2013 12  48286·
 2014 01 63296·
 2014 02 62334·
 2014 03 20303.
 2014 04 46342·
 2014 05 38275·
 2014 06 54250·
 2014 07 22247·
 2014 08 59176.
 2014 09 26187·
 2014 10 5170·


 2014 11 98191·
 2014 12 56224.
 2015 01  30229·
 2015 02  46243.
 2015 03  10250.
 2015 04  31245.
 2015 05  73223.
 2015 06  34259.
 2015 07  47281.
 2015 08  2273·
 2015 09  6237·
 2015 10  51260·
 2015 11  20233·
 2015 12  15219·
 2016 01 5237.
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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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