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 Series Title: Employment Level: Mexican, Protective Service Occupations: NSA
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 2000 01 61125·
 2000 02 10115.
 2000 03 96119·
 2000 04 22122.
 2000 05 14123·
 2000 06 3134.
 2000 07 18150·
 2000 08 21135.
 2000 09 53118·
 2000 10 13122.
 2000 11 60128.
 2000 12 38149·
 2001 01  27162.
 2001 02  22162.
 2001 03  35146·
 2001 04  16149·
 2001 05  11138.
 2001 06  37125·
 2001 07  80153.
 2001 08  25193.
 2001 09  7177.
 2001 10  89169·
 2001 11  58193.
 2001 12  58205·
 2002 01 40170.
 2002 02 34170.
 2002 03 57163.
 2002 04 36121·
 2002 05 59124·
 2002 06 55128.
 2002 07 91143.
 2002 08 2172.
 2002 09 42157·
 2002 10 58152.
 2002 11 97160.
 2002 12 25146·
 2003 01  86158·
 2003 02  75143·
 2003 03  37163.
 2003 04  0138·
 2003 05  20138.
 2003 06  62150·
 2003 07  0155·
 2003 08  45155.
 2003 09  91127·
 2003 10  1128·
 2003 11  99123·
 2003 12  4192·
 2004 01 77177.
 2004 02 99184·
 2004 03 72192.
 2004 04 48143·
 2004 05 77153.
 2004 06 87177·
 2004 07 81173·
 2004 08 69211.
 2004 09 17199.
 2004 10 21207·
 2004 11 14194.
 2004 12 88225·
 2005 01  47188·
 2005 02  85159·
 2005 03  85185.
 2005 04  48177·
 2005 05  43172.
 2005 06  83189·
 2005 07  31184.
 2005 08  18161·
 2005 09  4184.
 2005 10  49152.
 2005 11  14162.
 2005 12  93168·
 2006 01 57154.
 2006 02 38159.
 2006 03 24186·
 2006 04 91197·
 2006 05 52194.
 2006 06 32206·
 2006 07 72171.
 2006 08 57163.
 2006 09 63129.
 2006 10 37136.
 2006 11 97146.
 2006 12 60148.
 2007 01  93135.
 2007 02  86127·
 2007 03  62138·
 2007 04  95137.
 2007 05  65149·
 2007 06  36146·
 2007 07  54169·
 2007 08  79157·
 2007 09  30154·
 2007 10  66193·
 2007 11  87154.
 2007 12  58149.
 2008 01 64161.
 2008 02 85151·
 2008 03 98148·
 2008 04 0138.
 2008 05 68188.
 2008 06 25193.
 2008 07 50216·
 2008 08 0251.
 2008 09 65188·
 2008 10 40187·
 2008 11 31180·
 2008 12 77193.
 2009 01  8183.
 2009 02  14231·
 2009 03  54252.
 2009 04  75248.
 2009 05  70248·
 2009 06  53226·
 2009 07  56204·
 2009 08  63201·
 2009 09  54199·
 2009 10  88216·
 2009 11  2251.
 2009 12  35243·
 2010 01 83227·
 2010 02 77255.
 2010 03 78269.
 2010 04 10255·
 2010 05 9311·
 2010 06 0282·
 2010 07 97245.
 2010 08 33274.
 2010 09 7232·
 2010 10 65226·
 2010 11 98220.
 2010 12 72189.
 2011 01  77167·
 2011 02  2180·
 2011 03  43184·
 2011 04  22190·
 2011 05  44210·
 2011 06  70251.
 2011 07  21261.
 2011 08  3306.
 2011 09  59253·
 2011 10  49252·
 2011 11  43214·
 2011 12  57221·
 2012 01 98203.
 2012 02 46200·
 2012 03 48214.
 2012 04 54242.
 2012 05 61268.
 2012 06 92249·
 2012 07 99305.
 2012 08 89261.
 2012 09 73224.
 2012 10 45233·
 2012 11 84227.
 2012 12 80267.
 2013 01  84289·
 2013 02  85318·
 2013 03  16301·
 2013 04  72309.
 2013 05  70290·
 2013 06  21254.
 2013 07  32285·
 2013 08  33260·
 2013 09  31246·
 2013 10  82232.
 2013 11  95262.
 2013 12  59286·
 2014 01 94296·
 2014 02 26334.
 2014 03 94303.
 2014 04 67342·
 2014 05 7275.
 2014 06 35250.
 2014 07 41247·
 2014 08 3176.
 2014 09 47187.
 2014 10 15170.
 2014 11 73191·
 2014 12 35224.
 2015 01  13229·
 2015 02  98243·
 2015 03  55250·
 2015 04  58245·
 2015 05  32223.
 2015 06  40259.
 2015 07  74281.
 2015 08  90273.
 2015 09  54237·
 2015 10  23260·
 2015 11  42233·
 2015 12  76219·
 2016 01 54237·
 2016 02 54239.
 2016 03 98225.
 2016 04 84248.
 2016 05 32262.
 2016 06 64237.
 2016 07 5256.
 2016 08 10223.
 2016 09 14246·
 2016 10 10258·
 2016 11 50273.
 2016 12 72243.
 2017 01  50229·
 2017 02  74240·
 2017 03  46233.
 2017 04  14250·
 2017 05  16239.
 2017 06  62237.
 2017 07  32255·
 2017 08  6258·


 2017 09  12221.
 2017 10  5221.
 2017 11  69185·
 2017 12  41209.
 2018 01 63217·
 2018 02 62225·
 2018 03 47241·
 2018 04 39268.
 2018 05 20277·
 2018 06 12219·
 2018 07 77280·
 2018 08 44266.
 2018 09 58265.
 2018 10 64308·
 2018 11 98255·
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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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