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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 62125.
 2000 02 8115·
 2000 03 20119·
 2000 04 50122.
 2000 05 75123.
 2000 06 74134.
 2000 07 28150·
 2000 08 47135·
 2000 09 24118.
 2000 10 7122·
 2000 11 5128·
 2000 12 11149.
 2001 01  58162·
 2001 02  89162.
 2001 03  64146.
 2001 04  87149·
 2001 05  53138.
 2001 06  26125.
 2001 07  45153·
 2001 08  44193.
 2001 09  9177·
 2001 10  50169·
 2001 11  8193·
 2001 12  75205·
 2002 01 51170.
 2002 02 19170.
 2002 03 43163·
 2002 04 1121.
 2002 05 31124·
 2002 06 12128.
 2002 07 61143.
 2002 08 64172·
 2002 09 23157.
 2002 10 38152·
 2002 11 2160.
 2002 12 35146.
 2003 01  28158·
 2003 02  27143·
 2003 03  28163·
 2003 04  7138·
 2003 05  72138·
 2003 06  37150.
 2003 07  26155·
 2003 08  0155·
 2003 09  4127.
 2003 10  49128.
 2003 11  10123.
 2003 12  57192.
 2004 01 99177.
 2004 02 69184·
 2004 03 18192·
 2004 04 48143·
 2004 05 60153·
 2004 06 29177.
 2004 07 12173.
 2004 08 67211.
 2004 09 10199·
 2004 10 87207.
 2004 11 81194·
 2004 12 34225.
 2005 01  0188·
 2005 02  23159.
 2005 03  37185.
 2005 04  91177.
 2005 05  6172·
 2005 06  44189.
 2005 07  17184·
 2005 08  9161·
 2005 09  27184·
 2005 10  82152.
 2005 11  86162·
 2005 12  81168·
 2006 01 90154·
 2006 02 94159·
 2006 03 31186.
 2006 04 27197·
 2006 05 45194·
 2006 06 60206·
 2006 07 65171.
 2006 08 91163·
 2006 09 67129·
 2006 10 89136.
 2006 11 25146·
 2006 12 42148.
 2007 01  57135·
 2007 02  11127.
 2007 03  75138·
 2007 04  74137.
 2007 05  39149·
 2007 06  82146.
 2007 07  2169.
 2007 08  6157·
 2007 09  64154·
 2007 10  86193·
 2007 11  20154.
 2007 12  83149·
 2008 01 9161·
 2008 02 28151·
 2008 03 66148·
 2008 04 73138·
 2008 05 72188·
 2008 06 39193.
 2008 07 3216.
 2008 08 70251.
 2008 09 80188.
 2008 10 78187.
 2008 11 19180·
 2008 12 95193·
 2009 01  83183·
 2009 02  24231·
 2009 03  27252·
 2009 04  90248·
 2009 05  55248·
 2009 06  86226.
 2009 07  65204.
 2009 08  26201·
 2009 09  99199.
 2009 10  94216·
 2009 11  96251.
 2009 12  95243·
 2010 01 39227·
 2010 02 5255·
 2010 03 7269·
 2010 04 18255.
 2010 05 25311·
 2010 06 1282·
 2010 07 11245.
 2010 08 39274·
 2010 09 32232·
 2010 10 88226.
 2010 11 48220.
 2010 12 26189.
 2011 01  62167·
 2011 02  98180.
 2011 03  78184.
 2011 04  74190·
 2011 05  40210.
 2011 06  89251·
 2011 07  90261·
 2011 08  1306·
 2011 09  16253.
 2011 10  40252.
 2011 11  98214·
 2011 12  53221.
 2012 01 65203.
 2012 02 60200.
 2012 03 38214·
 2012 04 98242·
 2012 05 87268·
 2012 06 79249.
 2012 07 75305.
 2012 08 31261.
 2012 09 9224.
 2012 10 54233.
 2012 11 95227.
 2012 12 70267·
 2013 01  80289.
 2013 02  68318·
 2013 03  11301.


 2013 04  59309·
 2013 05  77290·
 2013 06  25254·
 2013 07  62285·
 2013 08  68260·
 2013 09  98246·
 2013 10  60232·
 2013 11  11262·
 2013 12  91286·
 2014 01 71296.
 2014 02 26334.
 2014 03 45303·
 2014 04 48342.
 2014 05 44275.
 2014 06 8250·
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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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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