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 Series Title: Employment Level: Mexican, Protective Service Occupations: NSA
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 2000 01 44125·
 2000 02 88115.
 2000 03 20119·
 2000 04 74122.
 2000 05 7123·
 2000 06 80134.
 2000 07 55150·
 2000 08 25135·
 2000 09 61118.
 2000 10 96122·
 2000 11 17128.
 2000 12 0149.
 2001 01  58162·
 2001 02  16162·
 2001 03  17146.
 2001 04  43149·
 2001 05  71138.
 2001 06  48125·
 2001 07  93153.
 2001 08  22193.
 2001 09  2177.
 2001 10  24169.
 2001 11  10193.
 2001 12  33205.
 2002 01 75170.
 2002 02 0170·
 2002 03 53163.
 2002 04 94121·
 2002 05 42124.
 2002 06 57128.
 2002 07 37143.
 2002 08 50172.
 2002 09 78157.
 2002 10 3152·
 2002 11 0160.
 2002 12 68146.
 2003 01  83158.
 2003 02  68143·
 2003 03  3163·
 2003 04  45138·
 2003 05  82138·
 2003 06  11150.
 2003 07  36155.
 2003 08  98155.
 2003 09  26127.
 2003 10  11128·
 2003 11  10123·
 2003 12  73192.
 2004 01 91177·
 2004 02 77184.
 2004 03 65192·
 2004 04 37143.
 2004 05 75153·
 2004 06 38177.
 2004 07 62173·
 2004 08 85211.
 2004 09 6199·
 2004 10 53207·
 2004 11 89194.
 2004 12 37225.
 2005 01  34188·
 2005 02  3159·
 2005 03  60185·
 2005 04  37177·
 2005 05  33172.
 2005 06  94189.
 2005 07  13184·
 2005 08  53161.
 2005 09  4184·
 2005 10  59152.
 2005 11  9162·
 2005 12  80168·
 2006 01 73154·
 2006 02 53159.
 2006 03 38186·
 2006 04 36197.
 2006 05 90194.
 2006 06 58206.
 2006 07 12171.
 2006 08 67163·
 2006 09 31129.
 2006 10 82136·
 2006 11 69146.
 2006 12 41148·
 2007 01  95135·
 2007 02  55127.
 2007 03  72138.
 2007 04  52137.
 2007 05  8149·
 2007 06  34146·
 2007 07  8169·
 2007 08  20157·
 2007 09  21154·
 2007 10  1193.
 2007 11  91154.
 2007 12  88149.
 2008 01 9161.
 2008 02 63151·
 2008 03 59148·
 2008 04 27138.
 2008 05 72188.
 2008 06 51193.
 2008 07 74216·
 2008 08 29251.
 2008 09 36188.
 2008 10 22187·
 2008 11 24180.
 2008 12 14193.
 2009 01  50183·
 2009 02  57231.
 2009 03  22252.
 2009 04  26248.
 2009 05  92248.
 2009 06  64226.
 2009 07  7204.
 2009 08  35201·
 2009 09  60199·
 2009 10  73216·
 2009 11  40251.
 2009 12  34243·
 2010 01 81227·
 2010 02 42255.
 2010 03 10269.
 2010 04 42255.
 2010 05 4311.
 2010 06 51282·
 2010 07 30245·
 2010 08 5274·
 2010 09 5232·
 2010 10 9226.
 2010 11 38220.
 2010 12 90189.
 2011 01  85167.
 2011 02  45180·
 2011 03  96184.
 2011 04  92190.
 2011 05  68210.
 2011 06  18251·
 2011 07  93261.
 2011 08  31306.
 2011 09  6253.
 2011 10  8252.
 2011 11  41214·
 2011 12  49221.
 2012 01 74203.
 2012 02 23200·
 2012 03 78214.
 2012 04 17242.
 2012 05 71268·
 2012 06 93249.
 2012 07 67305·
 2012 08 29261·
 2012 09 24224.
 2012 10 76233.
 2012 11 96227·
 2012 12 4267·
 2013 01  82289·
 2013 02  53318·
 2013 03  78301.
 2013 04  85309·
 2013 05  22290·
 2013 06  31254.
 2013 07  51285·
 2013 08  43260.
 2013 09  44246·
 2013 10  41232.
 2013 11  77262.
 2013 12  70286.
 2014 01 72296·
 2014 02 41334.
 2014 03 45303.
 2014 04 87342·
 2014 05 58275.
 2014 06 11250·
 2014 07 67247·
 2014 08 37176·
 2014 09 76187·
 2014 10 59170·
 2014 11 82191·
 2014 12 90224.
 2015 01  28229.
 2015 02  15243·
 2015 03  52250·
 2015 04  39245·
 2015 05  38223.
 2015 06  37259·
 2015 07  65281·
 2015 08  5273·
 2015 09  57237·
 2015 10  7260.
 2015 11  33233·
 2015 12  30219·
 2016 01 60237.
 2016 02 30239·
 2016 03 96225.
 2016 04 85248.
 2016 05 48262.
 2016 06 40237.
 2016 07 16256·
 2016 08 62223·
 2016 09 46246·
 2016 10 91258.
 2016 11 80273.
 2016 12 83243·
 2017 01  5229·
 2017 02  66240.
 2017 03  2233.
 2017 04  89250.
 2017 05  99239.
 2017 06  72237.


 2017 07  19255·
 2017 08  52258·
 2017 09  30221·
 2017 10  39221·
 2017 11  95185.
 2017 12  64209·
 2018 01 22217·
 2018 02 26225·
 2018 03 16241.
 2018 04 45268·
 2018 05 27277.
 2018 06 13219.
 2018 07 97280.
 2018 08 40266.
 2018 09 18265·
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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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