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 Series Title: Employment Level: Mexican, Protective Service Occupations: NSA
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 2000 01 54125.
 2000 02 68115.
 2000 03 10119·
 2000 04 96122.
 2000 05 66123·
 2000 06 60134.
 2000 07 22150·
 2000 08 25135.
 2000 09 24118.
 2000 10 31122·
 2000 11 15128.
 2000 12 34149·
 2001 01  81162.
 2001 02  64162.
 2001 03  4146.
 2001 04  67149·
 2001 05  11138·
 2001 06  64125·
 2001 07  26153.
 2001 08  94193·
 2001 09  15177.
 2001 10  65169.
 2001 11  43193.
 2001 12  7205·
 2002 01 19170.
 2002 02 21170·
 2002 03 45163·
 2002 04 27121.
 2002 05 71124.
 2002 06 16128.
 2002 07 43143.
 2002 08 98172.
 2002 09 49157.
 2002 10 55152.
 2002 11 75160·
 2002 12 89146.
 2003 01  52158.
 2003 02  71143.
 2003 03  5163·
 2003 04  93138·
 2003 05  5138·
 2003 06  19150·
 2003 07  20155·
 2003 08  30155.
 2003 09  60127·
 2003 10  81128.
 2003 11  33123.
 2003 12  45192·
 2004 01 91177.
 2004 02 65184·
 2004 03 82192·
 2004 04 6143.
 2004 05 99153.
 2004 06 2177·
 2004 07 31173.
 2004 08 7211.
 2004 09 10199.
 2004 10 48207·
 2004 11 66194.
 2004 12 68225.
 2005 01  73188·
 2005 02  85159·
 2005 03  1185·
 2005 04  33177·
 2005 05  64172·
 2005 06  19189.
 2005 07  73184·
 2005 08  71161.
 2005 09  83184.
 2005 10  84152·
 2005 11  46162.
 2005 12  75168.
 2006 01 57154.
 2006 02 34159.
 2006 03 7186.
 2006 04 66197·
 2006 05 34194.
 2006 06 51206.
 2006 07 70171·
 2006 08 87163·
 2006 09 92129·
 2006 10 43136.
 2006 11 72146.
 2006 12 8148.
 2007 01  29135·
 2007 02  41127.
 2007 03  76138·
 2007 04  22137·
 2007 05  72149.
 2007 06  1146·
 2007 07  70169·
 2007 08  49157.
 2007 09  70154.
 2007 10  5193·
 2007 11  67154·
 2007 12  32149·
 2008 01 0161·
 2008 02 61151·
 2008 03 4148.
 2008 04 42138.
 2008 05 61188.
 2008 06 98193.
 2008 07 45216.
 2008 08 72251.
 2008 09 79188·
 2008 10 75187.
 2008 11 78180·
 2008 12 41193.
 2009 01  5183.
 2009 02  73231·
 2009 03  15252·
 2009 04  94248.
 2009 05  13248·
 2009 06  98226.
 2009 07  95204·
 2009 08  99201.
 2009 09  4199·
 2009 10  82216·
 2009 11  80251·
 2009 12  51243·
 2010 01 4227.
 2010 02 81255·
 2010 03 57269.
 2010 04 68255.
 2010 05 63311.
 2010 06 78282·
 2010 07 41245.
 2010 08 96274.
 2010 09 56232.
 2010 10 79226.
 2010 11 69220·
 2010 12 3189.
 2011 01  84167.
 2011 02  15180·
 2011 03  3184·
 2011 04  83190·
 2011 05  72210·
 2011 06  44251·
 2011 07  32261·
 2011 08  56306.
 2011 09  70253·
 2011 10  46252.
 2011 11  69214·
 2011 12  65221·
 2012 01 55203.
 2012 02 29200·
 2012 03 51214·
 2012 04 79242·
 2012 05 25268.
 2012 06 24249.
 2012 07 41305·
 2012 08 94261·
 2012 09 7224.
 2012 10 88233.
 2012 11 28227·
 2012 12 28267.
 2013 01  52289·
 2013 02  3318.
 2013 03  24301·
 2013 04  24309·


 2013 05  33290.
 2013 06  74254.
 2013 07  66285·
 2013 08  53260.
 2013 09  53246·
 2013 10  34232.
 2013 11  19262·
 2013 12  9286.
 2014 01 36296·
 2014 02 40334.
 2014 03 69303.
 2014 04 10342.
 2014 05 32275·
 2014 06 72250·
 2014 07 30247.
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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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