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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 70125.
 2000 02 26115·
 2000 03 73119.
 2000 04 91122·
 2000 05 79123.
 2000 06 44134.
 2000 07 89150.
 2000 08 52135.
 2000 09 49118.
 2000 10 53122·
 2000 11 99128.
 2000 12 6149·
 2001 01  28162.
 2001 02  37162.
 2001 03  17146.
 2001 04  96149·
 2001 05  94138.
 2001 06  1125.
 2001 07  81153.
 2001 08  92193·
 2001 09  46177·
 2001 10  78169·
 2001 11  52193·
 2001 12  88205·
 2002 01 9170·
 2002 02 23170·
 2002 03 20163·
 2002 04 3121·
 2002 05 35124.
 2002 06 18128·
 2002 07 97143·
 2002 08 81172.
 2002 09 98157.
 2002 10 71152·
 2002 11 21160.
 2002 12 91146.
 2003 01  98158·
 2003 02  12143.
 2003 03  55163·
 2003 04  28138·
 2003 05  62138.
 2003 06  99150·
 2003 07  87155.
 2003 08  10155·
 2003 09  40127.
 2003 10  13128.
 2003 11  29123.
 2003 12  82192.
 2004 01 6177·
 2004 02 60184.
 2004 03 20192.
 2004 04 12143.
 2004 05 62153·
 2004 06 73177.
 2004 07 22173.
 2004 08 96211·
 2004 09 33199.
 2004 10 7207.
 2004 11 24194.
 2004 12 51225·
 2005 01  69188.
 2005 02  45159·
 2005 03  38185.
 2005 04  23177.
 2005 05  45172.
 2005 06  93189·
 2005 07  2184·
 2005 08  81161.
 2005 09  63184·
 2005 10  83152·
 2005 11  79162·
 2005 12  18168·
 2006 01 47154·
 2006 02 72159·
 2006 03 57186.
 2006 04 53197.
 2006 05 47194.
 2006 06 40206·
 2006 07 49171·
 2006 08 31163·
 2006 09 40129.
 2006 10 96136·
 2006 11 92146.
 2006 12 22148.
 2007 01  25135.
 2007 02  69127·
 2007 03  50138·
 2007 04  18137.
 2007 05  28149.
 2007 06  18146.
 2007 07  11169.
 2007 08  40157·
 2007 09  99154·
 2007 10  23193·
 2007 11  87154.
 2007 12  31149·
 2008 01 14161.
 2008 02 92151·
 2008 03 16148·
 2008 04 60138·
 2008 05 73188·
 2008 06 56193.
 2008 07 61216.
 2008 08 22251·
 2008 09 2188·
 2008 10 71187·
 2008 11 11180·
 2008 12 36193.
 2009 01  50183·
 2009 02  20231·
 2009 03  77252.
 2009 04  46248.
 2009 05  94248·
 2009 06  8226.
 2009 07  98204.
 2009 08  21201.
 2009 09  33199·
 2009 10  68216·
 2009 11  37251.
 2009 12  55243·
 2010 01 93227.
 2010 02 56255.
 2010 03 81269.
 2010 04 67255.
 2010 05 25311·
 2010 06 54282·
 2010 07 44245·
 2010 08 2274.
 2010 09 3232·
 2010 10 68226.
 2010 11 63220·
 2010 12 29189.
 2011 01  29167.
 2011 02  31180.
 2011 03  2184·
 2011 04  41190·
 2011 05  27210.
 2011 06  98251.
 2011 07  47261.
 2011 08  58306·
 2011 09  49253.
 2011 10  51252.
 2011 11  13214·
 2011 12  25221.
 2012 01 68203.
 2012 02 98200·
 2012 03 37214·
 2012 04 9242.
 2012 05 87268.
 2012 06 69249.
 2012 07 81305.
 2012 08 6261·
 2012 09 29224.
 2012 10 21233.
 2012 11 35227.
 2012 12 34267.
 2013 01  46289·
 2013 02  36318.
 2013 03  9301·
 2013 04  38309.
 2013 05  13290·
 2013 06  21254.
 2013 07  44285·
 2013 08  87260·
 2013 09  31246·
 2013 10  7232.
 2013 11  0262.
 2013 12  74286·
 2014 01 24296·
 2014 02 51334·
 2014 03 68303.
 2014 04 20342·
 2014 05 43275·
 2014 06 35250.
 2014 07 58247.
 2014 08 68176.
 2014 09 64187·
 2014 10 64170.
 2014 11 9191.
 2014 12 87224.
 2015 01  86229.
 2015 02  71243·
 2015 03  84250.
 2015 04  72245·
 2015 05  36223.
 2015 06  13259·
 2015 07  71281·
 2015 08  41273·
 2015 09  64237.
 2015 10  71260·


 2015 11  83233·
 2015 12  39219.
 2016 01 44237.
 2016 02 51239·
 2016 03 57225.
 2016 04 34248·
 2016 05 78262.
 2016 06 86237.
 2016 07 57256.
 2016 08 22223.
 2016 09 91246·
 2016 10 32258.
 2016 11 71273.
 2016 12 21243.
 2017 01  33229·
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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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