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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 34125.
 2000 02 97115·
 2000 03 61119.
 2000 04 55122.
 2000 05 29123.
 2000 06 39134·
 2000 07 39150·
 2000 08 15135.
 2000 09 35118.
 2000 10 23122·
 2000 11 61128·
 2000 12 18149.
 2001 01  2162.
 2001 02  31162·
 2001 03  40146.
 2001 04  8149·
 2001 05  4138·
 2001 06  69125.
 2001 07  15153.
 2001 08  53193.
 2001 09  42177.
 2001 10  70169·
 2001 11  49193·
 2001 12  48205·
 2002 01 43170·
 2002 02 89170.
 2002 03 28163·
 2002 04 12121.
 2002 05 55124·
 2002 06 9128.
 2002 07 67143.
 2002 08 89172.
 2002 09 55157·
 2002 10 36152·
 2002 11 3160.
 2002 12 49146·
 2003 01  42158.
 2003 02  1143·
 2003 03  98163·
 2003 04  85138.
 2003 05  43138.
 2003 06  62150.
 2003 07  42155.
 2003 08  16155.
 2003 09  7127·
 2003 10  0128.
 2003 11  46123·
 2003 12  87192.
 2004 01 10177.
 2004 02 21184.
 2004 03 48192·
 2004 04 67143·
 2004 05 53153·
 2004 06 58177.
 2004 07 12173.
 2004 08 50211·
 2004 09 60199·
 2004 10 67207·
 2004 11 26194.
 2004 12 55225.
 2005 01  83188·
 2005 02  29159·
 2005 03  2185·
 2005 04  26177·
 2005 05  96172·
 2005 06  51189.
 2005 07  77184.
 2005 08  32161·
 2005 09  0184·
 2005 10  66152·
 2005 11  16162·
 2005 12  69168.
 2006 01 21154.
 2006 02 28159·
 2006 03 6186.
 2006 04 53197.
 2006 05 8194.
 2006 06 21206.
 2006 07 59171·
 2006 08 31163.
 2006 09 37129.
 2006 10 51136·
 2006 11 15146.
 2006 12 70148.
 2007 01  9135.
 2007 02  49127.
 2007 03  34138·
 2007 04  66137·
 2007 05  49149.
 2007 06  72146·
 2007 07  7169·
 2007 08  37157.
 2007 09  7154·
 2007 10  1193·
 2007 11  44154.
 2007 12  27149.
 2008 01 59161.
 2008 02 44151·
 2008 03 85148·
 2008 04 5138.
 2008 05 4188.
 2008 06 32193·
 2008 07 92216·
 2008 08 67251.
 2008 09 70188·
 2008 10 22187.
 2008 11 53180.
 2008 12 30193·
 2009 01  5183·
 2009 02  94231.
 2009 03  81252.
 2009 04  39248.
 2009 05  85248·
 2009 06  57226.
 2009 07  14204.
 2009 08  63201.
 2009 09  11199.
 2009 10  41216·
 2009 11  14251·
 2009 12  96243·
 2010 01 8227·
 2010 02 3255.
 2010 03 71269·
 2010 04 58255.
 2010 05 26311.
 2010 06 26282·
 2010 07 95245·
 2010 08 92274.
 2010 09 42232.
 2010 10 14226.
 2010 11 26220.
 2010 12 68189.
 2011 01  54167·
 2011 02  1180·
 2011 03  26184.
 2011 04  79190.
 2011 05  89210·
 2011 06  42251·
 2011 07  84261.
 2011 08  46306·
 2011 09  97253·
 2011 10  20252·
 2011 11  11214.
 2011 12  11221.
 2012 01 53203.
 2012 02 40200·
 2012 03 47214.
 2012 04 45242·
 2012 05 59268·
 2012 06 36249.
 2012 07 53305.
 2012 08 41261.
 2012 09 38224·
 2012 10 62233·
 2012 11 18227.
 2012 12 19267·
 2013 01  42289.
 2013 02  2318·
 2013 03  54301.
 2013 04  22309.


 2013 05  45290.
 2013 06  61254·
 2013 07  0285.
 2013 08  20260·
 2013 09  50246.
 2013 10  71232.
 2013 11  19262.
 2013 12  7286.
 2014 01 79296.
 2014 02 89334.
 2014 03 98303.
 2014 04 1342·
 2014 05 85275·
 2014 06 97250·
 2014 07 49247·
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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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