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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 17125.
 2000 02 46115.
 2000 03 52119.
 2000 04 94122.
 2000 05 54123.
 2000 06 18134.
 2000 07 74150.
 2000 08 37135.
 2000 09 7118.
 2000 10 39122.
 2000 11 46128.
 2000 12 30149·
 2001 01  27162.
 2001 02  89162·
 2001 03  83146.
 2001 04  15149·
 2001 05  89138.
 2001 06  77125.
 2001 07  21153.
 2001 08  63193·
 2001 09  94177.
 2001 10  33169·
 2001 11  23193·
 2001 12  66205.
 2002 01 67170.
 2002 02 13170·
 2002 03 78163.
 2002 04 45121.
 2002 05 57124.
 2002 06 1128·
 2002 07 99143.
 2002 08 43172.
 2002 09 42157·
 2002 10 2152.
 2002 11 22160.
 2002 12 29146·
 2003 01  21158·
 2003 02  47143.
 2003 03  12163.
 2003 04  98138·
 2003 05  19138·
 2003 06  95150·
 2003 07  56155.
 2003 08  69155·
 2003 09  87127·
 2003 10  25128·
 2003 11  67123·
 2003 12  86192·
 2004 01 0177·
 2004 02 46184.
 2004 03 83192·
 2004 04 18143.
 2004 05 58153.
 2004 06 87177·
 2004 07 66173·
 2004 08 59211·
 2004 09 88199·
 2004 10 8207.
 2004 11 5194.
 2004 12 29225·
 2005 01  40188·
 2005 02  87159·
 2005 03  12185·
 2005 04  70177·
 2005 05  88172.
 2005 06  34189.
 2005 07  26184·
 2005 08  54161.
 2005 09  33184.
 2005 10  78152.
 2005 11  9162·
 2005 12  73168·
 2006 01 1154.
 2006 02 77159.
 2006 03 49186·
 2006 04 48197·
 2006 05 41194·
 2006 06 13206.
 2006 07 59171·
 2006 08 21163·
 2006 09 31129.
 2006 10 91136·
 2006 11 78146.
 2006 12 63148·
 2007 01  69135·
 2007 02  44127.
 2007 03  67138·
 2007 04  66137.
 2007 05  81149·
 2007 06  29146.
 2007 07  14169.
 2007 08  52157·
 2007 09  17154·
 2007 10  26193·
 2007 11  34154.
 2007 12  63149·
 2008 01 54161·
 2008 02 43151.
 2008 03 63148·
 2008 04 68138·
 2008 05 91188·
 2008 06 11193·
 2008 07 64216.
 2008 08 63251·
 2008 09 53188·
 2008 10 87187·
 2008 11 25180·
 2008 12 66193·
 2009 01  92183.
 2009 02  52231·
 2009 03  60252.
 2009 04  21248·
 2009 05  82248.
 2009 06  14226.
 2009 07  6204·
 2009 08  97201·
 2009 09  24199·
 2009 10  3216.
 2009 11  26251·
 2009 12  88243.
 2010 01 44227.
 2010 02 77255·
 2010 03 7269·
 2010 04 15255·
 2010 05 91311.
 2010 06 17282.
 2010 07 64245·
 2010 08 20274·
 2010 09 41232.
 2010 10 29226.
 2010 11 33220.
 2010 12 72189.
 2011 01  94167·
 2011 02  46180·
 2011 03  77184·
 2011 04  67190.
 2011 05  77210·
 2011 06  24251.
 2011 07  85261.
 2011 08  23306.
 2011 09  38253.
 2011 10  44252.
 2011 11  69214·
 2011 12  85221·
 2012 01 55203·
 2012 02 14200.
 2012 03 67214.
 2012 04 20242·
 2012 05 26268·
 2012 06 64249·
 2012 07 43305.
 2012 08 25261·
 2012 09 77224.
 2012 10 52233.
 2012 11 83227·
 2012 12 17267·
 2013 01  60289·
 2013 02  59318·
 2013 03  2301.
 2013 04  41309.
 2013 05  49290.
 2013 06  92254·
 2013 07  36285·
 2013 08  66260·
 2013 09  44246·
 2013 10  83232·
 2013 11  48262·
 2013 12  86286·
 2014 01 71296.
 2014 02 87334.
 2014 03 28303·
 2014 04 20342·
 2014 05 80275.
 2014 06 88250.
 2014 07 86247·
 2014 08 13176.
 2014 09 48187·
 2014 10 90170·
 2014 11 62191.
 2014 12 33224.
 2015 01  73229.
 2015 02  27243.
 2015 03  18250.
 2015 04  75245.
 2015 05  82223.
 2015 06  54259·
 2015 07  43281·
 2015 08  58273.
 2015 09  25237·
 2015 10  54260.
 2015 11  48233·


 2015 12  26219·
 2016 01 77237.
 2016 02 32239·
 2016 03 72225.
 2016 04 48248.
 2016 05 39262·
 2016 06 21237.
 2016 07 78256.
 2016 08 19223·
 2016 09 36246.
 2016 10 78258·
 2016 11 53273·
 2016 12 57243.
 2017 01  18229·
 2017 02  83240.
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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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