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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 16125·
 2000 02 81115.
 2000 03 70119.
 2000 04 55122.
 2000 05 31123·
 2000 06 97134.
 2000 07 51150.
 2000 08 24135.
 2000 09 26118.
 2000 10 24122.
 2000 11 46128.
 2000 12 4149·
 2001 01  49162.
 2001 02  43162·
 2001 03  67146·
 2001 04  40149·
 2001 05  77138·
 2001 06  62125·
 2001 07  52153.
 2001 08  0193·
 2001 09  10177.
 2001 10  12169.
 2001 11  64193·
 2001 12  78205.
 2002 01 73170.
 2002 02 49170·
 2002 03 91163·
 2002 04 95121·
 2002 05 17124.
 2002 06 56128.
 2002 07 46143·
 2002 08 93172.
 2002 09 18157.
 2002 10 38152.
 2002 11 67160·
 2002 12 42146·
 2003 01  75158.
 2003 02  27143·
 2003 03  16163·
 2003 04  36138.
 2003 05  13138·
 2003 06  81150.
 2003 07  82155.
 2003 08  95155.
 2003 09  85127.
 2003 10  81128.
 2003 11  78123·
 2003 12  62192·
 2004 01 64177·
 2004 02 33184·
 2004 03 40192·
 2004 04 7143.
 2004 05 51153·
 2004 06 68177·
 2004 07 33173.
 2004 08 23211.
 2004 09 71199·
 2004 10 45207·
 2004 11 44194.
 2004 12 30225·
 2005 01  76188·
 2005 02  44159·
 2005 03  86185·
 2005 04  72177.
 2005 05  40172·
 2005 06  72189.
 2005 07  97184·
 2005 08  18161·
 2005 09  63184.
 2005 10  60152·
 2005 11  40162.
 2005 12  63168.
 2006 01 72154.
 2006 02 65159·
 2006 03 2186.
 2006 04 25197.
 2006 05 16194.
 2006 06 70206·
 2006 07 97171·
 2006 08 49163.
 2006 09 71129.
 2006 10 80136.
 2006 11 62146.
 2006 12 3148·
 2007 01  37135·
 2007 02  27127.
 2007 03  61138·
 2007 04  82137·
 2007 05  40149·
 2007 06  68146·
 2007 07  80169·
 2007 08  5157.
 2007 09  30154·
 2007 10  84193.
 2007 11  34154·
 2007 12  16149.
 2008 01 83161·
 2008 02 82151.
 2008 03 60148·
 2008 04 84138.
 2008 05 98188·
 2008 06 94193·
 2008 07 21216·
 2008 08 4251·
 2008 09 1188·
 2008 10 77187·
 2008 11 5180·
 2008 12 95193.
 2009 01  43183·
 2009 02  11231·
 2009 03  24252·
 2009 04  0248.
 2009 05  99248.
 2009 06  4226.
 2009 07  17204.
 2009 08  88201·
 2009 09  70199.
 2009 10  87216·
 2009 11  46251.
 2009 12  55243·
 2010 01 80227·
 2010 02 17255·
 2010 03 0269·
 2010 04 19255·
 2010 05 80311.
 2010 06 76282·
 2010 07 91245.
 2010 08 24274·
 2010 09 46232.
 2010 10 70226·
 2010 11 57220.
 2010 12 40189.
 2011 01  78167·
 2011 02  31180.
 2011 03  61184.
 2011 04  60190.
 2011 05  1210·
 2011 06  15251.
 2011 07  91261·
 2011 08  4306.
 2011 09  66253·
 2011 10  4252·
 2011 11  59214·
 2011 12  15221.
 2012 01 48203·
 2012 02 5200·
 2012 03 5214·
 2012 04 64242.
 2012 05 48268.
 2012 06 50249·
 2012 07 90305.
 2012 08 43261·
 2012 09 90224·
 2012 10 94233·
 2012 11 2227·
 2012 12 73267.
 2013 01  26289.
 2013 02  20318·
 2013 03  55301.
 2013 04  97309.
 2013 05  30290.
 2013 06  35254.
 2013 07  86285.
 2013 08  85260·
 2013 09  4246.
 2013 10  69232.
 2013 11  59262·
 2013 12  30286·
 2014 01 72296·
 2014 02 80334·
 2014 03 60303·
 2014 04 52342·


 2014 05 85275·
 2014 06 49250·
 2014 07 3247.
 2014 08 95176.
 2014 09 18187·
 2014 10 83170·
 2014 11 26191.
 2014 12 28224·
 2015 01  71229·
 2015 02  14243·
 2015 03  92250.
 2015 04  46245.
 2015 05  71223·
 2015 06  98259.
 2015 07  88281.
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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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