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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 8125.
 2000 02 95115·
 2000 03 91119.
 2000 04 81122·
 2000 05 73123.
 2000 06 76134.
 2000 07 4150.
 2000 08 97135.
 2000 09 80118.
 2000 10 32122·
 2000 11 92128·
 2000 12 87149.
 2001 01  78162·
 2001 02  42162·
 2001 03  70146·
 2001 04  95149.
 2001 05  44138·
 2001 06  14125·
 2001 07  74153·
 2001 08  89193.
 2001 09  77177·
 2001 10  80169.
 2001 11  67193·
 2001 12  65205.
 2002 01 3170.
 2002 02 95170·
 2002 03 38163·
 2002 04 41121.
 2002 05 73124.
 2002 06 42128·
 2002 07 0143·
 2002 08 61172·
 2002 09 61157·
 2002 10 28152·
 2002 11 90160·
 2002 12 95146·
 2003 01  68158·
 2003 02  83143·
 2003 03  70163.
 2003 04  36138.
 2003 05  19138·
 2003 06  66150·
 2003 07  30155.
 2003 08  4155·
 2003 09  66127.
 2003 10  56128·
 2003 11  82123.
 2003 12  43192·
 2004 01 82177.
 2004 02 61184·
 2004 03 64192·
 2004 04 23143.
 2004 05 70153.
 2004 06 13177·
 2004 07 38173.
 2004 08 36211.
 2004 09 53199·
 2004 10 68207·
 2004 11 93194·
 2004 12 3225·
 2005 01  83188·
 2005 02  7159.
 2005 03  41185.
 2005 04  67177·
 2005 05  34172·
 2005 06  38189·
 2005 07  21184·
 2005 08  98161.
 2005 09  8184.
 2005 10  93152·
 2005 11  95162.
 2005 12  90168.
 2006 01 29154·
 2006 02 26159·
 2006 03 52186.
 2006 04 61197.
 2006 05 49194.
 2006 06 22206.
 2006 07 3171·
 2006 08 57163.
 2006 09 41129·
 2006 10 85136·
 2006 11 87146·
 2006 12 45148.
 2007 01  8135.
 2007 02  48127.
 2007 03  67138·
 2007 04  22137.
 2007 05  73149·
 2007 06  67146.
 2007 07  31169·
 2007 08  4157.
 2007 09  89154·
 2007 10  24193·
 2007 11  91154·
 2007 12  37149.
 2008 01 29161·
 2008 02 26151·
 2008 03 86148·
 2008 04 90138.
 2008 05 94188·
 2008 06 4193·
 2008 07 78216.
 2008 08 57251·
 2008 09 10188.
 2008 10 14187.
 2008 11 56180.
 2008 12 57193.
 2009 01  27183·
 2009 02  39231.
 2009 03  32252·
 2009 04  34248.
 2009 05  21248.
 2009 06  86226·
 2009 07  43204.
 2009 08  58201·
 2009 09  92199.
 2009 10  85216·
 2009 11  54251·
 2009 12  22243·
 2010 01 65227.
 2010 02 93255.
 2010 03 52269.
 2010 04 45255·
 2010 05 90311·
 2010 06 93282.
 2010 07 49245.
 2010 08 72274.
 2010 09 44232.
 2010 10 90226.
 2010 11 84220·
 2010 12 72189.
 2011 01  26167·
 2011 02  17180.
 2011 03  20184·
 2011 04  40190.
 2011 05  62210·
 2011 06  29251.
 2011 07  44261·
 2011 08  93306.
 2011 09  2253.
 2011 10  9252.
 2011 11  69214·
 2011 12  76221.
 2012 01 22203·
 2012 02 63200.
 2012 03 33214·
 2012 04 59242·
 2012 05 21268·
 2012 06 24249.
 2012 07 0305.
 2012 08 36261.
 2012 09 26224.
 2012 10 47233·
 2012 11 56227.
 2012 12 25267.
 2013 01  87289·
 2013 02  13318.
 2013 03  15301·
 2013 04  72309.
 2013 05  80290·
 2013 06  31254.
 2013 07  15285.
 2013 08  44260.
 2013 09  3246·
 2013 10  31232·
 2013 11  19262·
 2013 12  36286.
 2014 01 84296·


 2014 02 71334·
 2014 03 14303·
 2014 04 68342.
 2014 05 72275.
 2014 06 31250.
 2014 07 14247.
 2014 08 83176·
 2014 09 43187·
 2014 10 18170.
 2014 11 56191.
 2014 12 51224·
 2015 01  97229·
 2015 02  65243·
 2015 03  3250.
 2015 04  65245.
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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
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