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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 10125·
 2000 02 30115.
 2000 03 62119.
 2000 04 73122.
 2000 05 52123.
 2000 06 89134.
 2000 07 79150.
 2000 08 45135·
 2000 09 91118·
 2000 10 79122.
 2000 11 29128.
 2000 12 47149·
 2001 01  78162.
 2001 02  79162.
 2001 03  23146.
 2001 04  23149·
 2001 05  89138·
 2001 06  98125·
 2001 07  0153.
 2001 08  43193.
 2001 09  23177.
 2001 10  66169.
 2001 11  23193·
 2001 12  99205.
 2002 01 7170·
 2002 02 41170.
 2002 03 80163·
 2002 04 12121·
 2002 05 90124·
 2002 06 4128.
 2002 07 83143·
 2002 08 26172.
 2002 09 48157·
 2002 10 61152·
 2002 11 71160.
 2002 12 9146·
 2003 01  82158·
 2003 02  44143.
 2003 03  6163.
 2003 04  57138.
 2003 05  16138·
 2003 06  10150.
 2003 07  77155.
 2003 08  87155·
 2003 09  1127·
 2003 10  41128.
 2003 11  95123·
 2003 12  45192.
 2004 01 13177·
 2004 02 43184.
 2004 03 0192·
 2004 04 99143.
 2004 05 51153.
 2004 06 47177.
 2004 07 54173·
 2004 08 43211·
 2004 09 42199·
 2004 10 11207.
 2004 11 44194.
 2004 12 97225·
 2005 01  36188.
 2005 02  16159.
 2005 03  85185.
 2005 04  5177·
 2005 05  7172.
 2005 06  69189.
 2005 07  13184·
 2005 08  35161·
 2005 09  57184·
 2005 10  1152.
 2005 11  91162·
 2005 12  83168.
 2006 01 11154.
 2006 02 69159·
 2006 03 8186.
 2006 04 67197·
 2006 05 19194.
 2006 06 54206·
 2006 07 76171·
 2006 08 31163.
 2006 09 57129.
 2006 10 64136·
 2006 11 34146·
 2006 12 44148·
 2007 01  24135.
 2007 02  30127.
 2007 03  43138·
 2007 04  1137·
 2007 05  48149·
 2007 06  8146.
 2007 07  92169·
 2007 08  21157.
 2007 09  77154·
 2007 10  81193.
 2007 11  95154·
 2007 12  48149.
 2008 01 87161·
 2008 02 54151·
 2008 03 88148.
 2008 04 50138·
 2008 05 78188.
 2008 06 59193.
 2008 07 34216.
 2008 08 23251.
 2008 09 77188.
 2008 10 54187·
 2008 11 23180·
 2008 12 85193.
 2009 01  33183·
 2009 02  20231.
 2009 03  65252.
 2009 04  81248.
 2009 05  22248.
 2009 06  63226.
 2009 07  0204·
 2009 08  79201.
 2009 09  44199.
 2009 10  14216.
 2009 11  90251·
 2009 12  74243·
 2010 01 24227·
 2010 02 32255.
 2010 03 24269·
 2010 04 85255.
 2010 05 13311.
 2010 06 97282.
 2010 07 13245.
 2010 08 55274.
 2010 09 87232.
 2010 10 16226.
 2010 11 96220·
 2010 12 55189.
 2011 01  45167.
 2011 02  20180·
 2011 03  36184·
 2011 04  78190.
 2011 05  14210.
 2011 06  67251·
 2011 07  20261·
 2011 08  44306.
 2011 09  43253.
 2011 10  37252·
 2011 11  62214·
 2011 12  96221·
 2012 01 7203.
 2012 02 38200·
 2012 03 0214·
 2012 04 3242·
 2012 05 8268·
 2012 06 1249.
 2012 07 96305.
 2012 08 61261.
 2012 09 71224.
 2012 10 83233.
 2012 11 38227·
 2012 12 87267·
 2013 01  46289.
 2013 02  65318·
 2013 03  39301·
 2013 04  27309·
 2013 05  8290·
 2013 06  55254.
 2013 07  37285·
 2013 08  49260.
 2013 09  58246.
 2013 10  83232.
 2013 11  95262·
 2013 12  47286·
 2014 01 21296.
 2014 02 6334.
 2014 03 1303·
 2014 04 41342·
 2014 05 48275.
 2014 06 6250.
 2014 07 68247·
 2014 08 75176.
 2014 09 14187·
 2014 10 90170.
 2014 11 33191.
 2014 12 17224.
 2015 01  19229.
 2015 02  90243.
 2015 03  60250·
 2015 04  63245·
 2015 05  89223·
 2015 06  61259.
 2015 07  35281.
 2015 08  30273·
 2015 09  74237.


 2015 10  86260.
 2015 11  74233·
 2015 12  64219.
 2016 01 50237·
 2016 02 70239·
 2016 03 12225.
 2016 04 33248.
 2016 05 16262·
 2016 06 47237·
 2016 07 13256·
 2016 08 31223·
 2016 09 99246.
 2016 10 72258·
 2016 11 65273.
 2016 12 78243.
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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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