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 Series Title: Employment Level: Mexican, Protective Service Occupations: NSA
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 2000 01 39125.
 2000 02 36115.
 2000 03 27119.
 2000 04 10122.
 2000 05 4123.
 2000 06 33134·
 2000 07 21150·
 2000 08 23135·
 2000 09 74118.
 2000 10 67122.
 2000 11 54128.
 2000 12 72149.
 2001 01  98162.
 2001 02  18162·
 2001 03  38146.
 2001 04  2149.
 2001 05  51138.
 2001 06  93125·
 2001 07  11153.
 2001 08  81193.
 2001 09  34177·
 2001 10  25169.
 2001 11  36193.
 2001 12  4205.
 2002 01 73170·
 2002 02 69170.
 2002 03 1163·
 2002 04 89121·
 2002 05 18124·
 2002 06 7128·
 2002 07 19143.
 2002 08 82172.
 2002 09 43157·
 2002 10 46152·
 2002 11 27160·
 2002 12 50146·
 2003 01  51158·
 2003 02  17143.
 2003 03  89163.
 2003 04  88138.
 2003 05  65138.
 2003 06  77150·
 2003 07  93155·
 2003 08  16155·
 2003 09  37127·
 2003 10  8128·
 2003 11  52123·
 2003 12  77192.
 2004 01 41177·
 2004 02 17184.
 2004 03 2192.
 2004 04 41143.
 2004 05 78153·
 2004 06 34177.
 2004 07 8173·
 2004 08 2211·
 2004 09 74199·
 2004 10 18207.
 2004 11 57194.
 2004 12 78225·
 2005 01  79188.
 2005 02  48159.
 2005 03  62185.
 2005 04  14177.
 2005 05  69172·
 2005 06  33189·
 2005 07  60184·
 2005 08  80161.
 2005 09  43184.
 2005 10  3152·
 2005 11  16162.
 2005 12  68168·
 2006 01 27154.
 2006 02 15159·
 2006 03 16186.
 2006 04 99197.
 2006 05 71194·
 2006 06 51206.
 2006 07 74171.
 2006 08 17163.
 2006 09 51129·
 2006 10 17136.
 2006 11 27146·
 2006 12 91148·
 2007 01  68135·
 2007 02  46127.
 2007 03  38138·
 2007 04  14137.
 2007 05  46149.
 2007 06  94146·
 2007 07  96169.
 2007 08  6157·
 2007 09  37154.
 2007 10  41193·
 2007 11  13154·
 2007 12  11149.
 2008 01 15161.
 2008 02 96151·
 2008 03 27148.
 2008 04 99138·
 2008 05 80188.
 2008 06 90193·
 2008 07 1216.
 2008 08 63251·
 2008 09 59188·
 2008 10 79187.
 2008 11 22180.
 2008 12 22193·
 2009 01  1183·
 2009 02  45231.
 2009 03  4252·
 2009 04  21248·
 2009 05  83248·
 2009 06  95226.
 2009 07  85204.
 2009 08  29201·
 2009 09  4199·
 2009 10  60216·
 2009 11  27251.
 2009 12  40243.
 2010 01 89227.
 2010 02 96255·
 2010 03 19269·
 2010 04 73255·
 2010 05 90311.
 2010 06 87282·
 2010 07 72245·
 2010 08 73274.
 2010 09 81232·
 2010 10 37226·
 2010 11 26220·
 2010 12 7189.
 2011 01  63167.
 2011 02  80180.
 2011 03  43184.
 2011 04  71190.
 2011 05  62210.
 2011 06  70251.
 2011 07  11261.
 2011 08  84306.
 2011 09  27253.
 2011 10  91252·
 2011 11  43214.
 2011 12  90221.
 2012 01 35203·
 2012 02 49200·
 2012 03 76214.
 2012 04 58242.
 2012 05 85268.
 2012 06 75249.
 2012 07 74305·
 2012 08 81261.
 2012 09 3224·
 2012 10 26233·
 2012 11 24227.
 2012 12 80267·
 2013 01  39289.
 2013 02  84318·
 2013 03  40301.
 2013 04  99309·
 2013 05  69290.
 2013 06  55254·
 2013 07  59285.
 2013 08  5260·
 2013 09  92246·
 2013 10  71232·
 2013 11  44262·
 2013 12  95286·
 2014 01 36296·
 2014 02 89334·
 2014 03 84303·
 2014 04 86342.
 2014 05 49275.
 2014 06 90250·
 2014 07 90247·
 2014 08 23176·
 2014 09 8187·
 2014 10 80170·
 2014 11 1191.
 2014 12 75224.
 2015 01  12229·
 2015 02  93243.
 2015 03  79250.
 2015 04  37245·
 2015 05  87223·
 2015 06  83259·
 2015 07  13281·
 2015 08  27273.
 2015 09  83237.
 2015 10  33260·
 2015 11  16233.
 2015 12  89219.
 2016 01 77237·
 2016 02 50239.
 2016 03 25225.
 2016 04 93248.
 2016 05 67262·
 2016 06 65237·
 2016 07 4256.
 2016 08 32223·
 2016 09 80246.
 2016 10 34258·
 2016 11 39273.
 2016 12 27243.
 2017 01  66229.
 2017 02  40240.
 2017 03  45233.
 2017 04  21250·
 2017 05  1239.
 2017 06  89237.
 2017 07  58255·
 2017 08  83258·
 2017 09  84221·
 2017 10  12221·
 2017 11  43185.


 2017 12  7209·
 2018 01 42217.
 2018 02 67225.
 2018 03 86241·
 2018 04 12268.
 2018 05 24277.
 2018 06 34219·
 2018 07 0280·
 2018 08 44266.
 2018 09 5265·
 2018 10 22308·
 2018 11 24255.
 2018 12 70244·
 2019 01  88251.
 2019 02  60235.
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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

Want state personal income and/or population data?

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