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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 41125·
 2000 02 96115·
 2000 03 86119·
 2000 04 58122.
 2000 05 83123.
 2000 06 32134.
 2000 07 81150·
 2000 08 35135.
 2000 09 78118·
 2000 10 54122.
 2000 11 65128.
 2000 12 97149.
 2001 01  78162.
 2001 02  43162.
 2001 03  49146.
 2001 04  90149·
 2001 05  57138·
 2001 06  7125.
 2001 07  73153.
 2001 08  83193.
 2001 09  16177.
 2001 10  77169.
 2001 11  99193.
 2001 12  69205.
 2002 01 80170·
 2002 02 9170·
 2002 03 15163·
 2002 04 68121·
 2002 05 1124·
 2002 06 85128.
 2002 07 33143·
 2002 08 23172.
 2002 09 52157·
 2002 10 12152.
 2002 11 93160·
 2002 12 5146·
 2003 01  35158·
 2003 02  22143.
 2003 03  56163·
 2003 04  6138.
 2003 05  75138.
 2003 06  71150·
 2003 07  10155.
 2003 08  48155.
 2003 09  23127.
 2003 10  40128.
 2003 11  69123.
 2003 12  72192.
 2004 01 53177.
 2004 02 37184·
 2004 03 71192·
 2004 04 49143.
 2004 05 66153·
 2004 06 93177·
 2004 07 77173.
 2004 08 73211·
 2004 09 88199·
 2004 10 64207·
 2004 11 77194.
 2004 12 62225.
 2005 01  69188.
 2005 02  33159·
 2005 03  83185.
 2005 04  62177·
 2005 05  84172·
 2005 06  6189.
 2005 07  32184.
 2005 08  41161·
 2005 09  33184.
 2005 10  14152.
 2005 11  88162·
 2005 12  93168.
 2006 01 43154·
 2006 02 14159·
 2006 03 39186.
 2006 04 37197·
 2006 05 64194.
 2006 06 89206.
 2006 07 98171.
 2006 08 18163.
 2006 09 70129·
 2006 10 44136.
 2006 11 2146·
 2006 12 5148.
 2007 01  62135·
 2007 02  11127·
 2007 03  14138.
 2007 04  91137·
 2007 05  66149.
 2007 06  46146.
 2007 07  23169·
 2007 08  97157.
 2007 09  32154.
 2007 10  33193·
 2007 11  40154.
 2007 12  65149·
 2008 01 36161·
 2008 02 76151.
 2008 03 5148·
 2008 04 66138.
 2008 05 77188·
 2008 06 8193.
 2008 07 79216·
 2008 08 93251·
 2008 09 82188.
 2008 10 85187.
 2008 11 52180·
 2008 12 66193·
 2009 01  0183·
 2009 02  89231·
 2009 03  35252·
 2009 04  28248.
 2009 05  7248·
 2009 06  27226·
 2009 07  66204.
 2009 08  50201·
 2009 09  4199·
 2009 10  30216·
 2009 11  9251·
 2009 12  24243·
 2010 01 15227.
 2010 02 55255.
 2010 03 51269·
 2010 04 70255·
 2010 05 92311·
 2010 06 84282·
 2010 07 6245.
 2010 08 33274.
 2010 09 9232.
 2010 10 23226·
 2010 11 11220.
 2010 12 81189.
 2011 01  67167.
 2011 02  4180.
 2011 03  28184·
 2011 04  8190.
 2011 05  91210·
 2011 06  83251.
 2011 07  47261·
 2011 08  34306.
 2011 09  32253·
 2011 10  42252.
 2011 11  79214·
 2011 12  3221.
 2012 01 66203.
 2012 02 88200.
 2012 03 64214·
 2012 04 84242·
 2012 05 91268·
 2012 06 52249.
 2012 07 62305.
 2012 08 71261.
 2012 09 35224.
 2012 10 92233·
 2012 11 63227·
 2012 12 83267.
 2013 01  47289·
 2013 02  88318.
 2013 03  80301.
 2013 04  65309.
 2013 05  2290.
 2013 06  47254.
 2013 07  50285.
 2013 08  85260.


 2013 09  2246.
 2013 10  1232·
 2013 11  36262.
 2013 12  38286.
 2014 01 71296·
 2014 02 7334.
 2014 03 26303·
 2014 04 42342·
 2014 05 60275·
 2014 06 46250·
 2014 07 32247·
 2014 08 43176·
 2014 09 45187.
 2014 10 25170·
 2014 11 94191.
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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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