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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 94125.
 2000 02 42115·
 2000 03 81119.
 2000 04 62122·
 2000 05 64123·
 2000 06 64134.
 2000 07 45150·
 2000 08 15135.
 2000 09 69118·
 2000 10 53122.
 2000 11 78128·
 2000 12 36149·
 2001 01  59162·
 2001 02  91162·
 2001 03  94146·
 2001 04  68149·
 2001 05  10138.
 2001 06  85125.
 2001 07  30153·
 2001 08  81193.
 2001 09  22177.
 2001 10  66169·
 2001 11  50193·
 2001 12  69205.
 2002 01 21170·
 2002 02 90170.
 2002 03 41163.
 2002 04 50121·
 2002 05 57124.
 2002 06 40128.
 2002 07 16143·
 2002 08 70172·
 2002 09 6157·
 2002 10 22152.
 2002 11 13160.
 2002 12 97146·
 2003 01  67158·
 2003 02  67143.
 2003 03  95163·
 2003 04  25138·
 2003 05  67138·
 2003 06  33150·
 2003 07  50155·
 2003 08  74155·
 2003 09  55127·
 2003 10  1128.
 2003 11  90123·
 2003 12  88192·
 2004 01 7177·
 2004 02 78184·
 2004 03 54192.
 2004 04 35143.
 2004 05 23153.
 2004 06 95177·
 2004 07 4173·
 2004 08 11211·
 2004 09 30199.
 2004 10 9207·
 2004 11 29194·
 2004 12 33225.
 2005 01  76188.
 2005 02  1159.
 2005 03  41185.
 2005 04  47177·
 2005 05  38172·
 2005 06  78189.
 2005 07  78184·
 2005 08  21161.
 2005 09  16184·
 2005 10  73152.
 2005 11  3162.
 2005 12  50168.
 2006 01 35154.
 2006 02 40159·
 2006 03 4186·
 2006 04 52197.
 2006 05 46194.
 2006 06 63206·
 2006 07 94171.
 2006 08 72163·
 2006 09 25129·
 2006 10 48136·
 2006 11 11146·
 2006 12 79148.
 2007 01  70135.
 2007 02  26127.
 2007 03  17138.
 2007 04  68137.
 2007 05  9149·
 2007 06  54146.
 2007 07  0169.
 2007 08  56157.
 2007 09  91154.
 2007 10  14193·
 2007 11  74154·
 2007 12  89149·
 2008 01 91161.
 2008 02 12151·
 2008 03 77148.
 2008 04 35138.
 2008 05 11188.
 2008 06 80193·
 2008 07 70216.
 2008 08 89251.
 2008 09 75188.
 2008 10 74187·
 2008 11 42180·
 2008 12 69193.
 2009 01  34183·
 2009 02  77231.
 2009 03  7252·
 2009 04  21248.
 2009 05  63248.
 2009 06  95226.
 2009 07  1204·
 2009 08  13201.
 2009 09  63199·
 2009 10  59216.
 2009 11  88251·
 2009 12  39243·
 2010 01 59227.
 2010 02 26255.
 2010 03 55269.
 2010 04 18255.
 2010 05 1311·
 2010 06 79282.
 2010 07 16245.
 2010 08 95274·
 2010 09 65232.
 2010 10 22226.
 2010 11 8220·
 2010 12 38189·
 2011 01  51167·
 2011 02  89180.
 2011 03  95184.
 2011 04  42190.
 2011 05  85210·
 2011 06  35251·
 2011 07  63261·
 2011 08  26306.
 2011 09  17253·
 2011 10  43252·
 2011 11  27214·
 2011 12  34221.
 2012 01 22203·
 2012 02 19200·
 2012 03 24214·
 2012 04 36242.
 2012 05 1268·
 2012 06 94249.
 2012 07 16305.
 2012 08 24261·
 2012 09 79224·
 2012 10 26233.
 2012 11 93227·
 2012 12 19267.
 2013 01  7289·
 2013 02  95318·
 2013 03  66301·
 2013 04  65309.
 2013 05  59290.
 2013 06  9254·
 2013 07  73285·
 2013 08  30260·
 2013 09  37246·
 2013 10  0232.
 2013 11  78262.


 2013 12  10286·
 2014 01 66296.
 2014 02 23334.
 2014 03 68303·
 2014 04 22342.
 2014 05 96275.
 2014 06 61250·
 2014 07 56247.
 2014 08 12176·
 2014 09 2187.
 2014 10 20170·
 2014 11 80191·
 2014 12 48224·
 2015 01  85229·
 2015 02  31243·
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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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