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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 78125.
 2000 02 15115·
 2000 03 5119.
 2000 04 69122.
 2000 05 53123.
 2000 06 4134·
 2000 07 72150·
 2000 08 36135·
 2000 09 57118.
 2000 10 54122·
 2000 11 1128·
 2000 12 64149.
 2001 01  41162·
 2001 02  46162.
 2001 03  8146·
 2001 04  97149.
 2001 05  79138·
 2001 06  87125.
 2001 07  28153·
 2001 08  5193·
 2001 09  72177.
 2001 10  10169·
 2001 11  25193·
 2001 12  81205·
 2002 01 46170·
 2002 02 69170.
 2002 03 87163·
 2002 04 45121.
 2002 05 50124·
 2002 06 49128·
 2002 07 28143·
 2002 08 41172·
 2002 09 60157·
 2002 10 53152.
 2002 11 84160·
 2002 12 38146.
 2003 01  77158.
 2003 02  16143.
 2003 03  18163.
 2003 04  30138.
 2003 05  26138·
 2003 06  92150·
 2003 07  19155·
 2003 08  36155·
 2003 09  58127.
 2003 10  64128·
 2003 11  0123·
 2003 12  1192.
 2004 01 47177·
 2004 02 39184·
 2004 03 98192.
 2004 04 93143.
 2004 05 94153·
 2004 06 47177.
 2004 07 76173.
 2004 08 7211.
 2004 09 25199.
 2004 10 47207·
 2004 11 22194.
 2004 12 62225.
 2005 01  90188·
 2005 02  18159.
 2005 03  49185.
 2005 04  2177·
 2005 05  64172.
 2005 06  68189·
 2005 07  95184.
 2005 08  95161·
 2005 09  48184·
 2005 10  29152.
 2005 11  23162·
 2005 12  38168.
 2006 01 66154·
 2006 02 58159·
 2006 03 20186·
 2006 04 47197·
 2006 05 71194·
 2006 06 35206·
 2006 07 0171·
 2006 08 68163·
 2006 09 36129.
 2006 10 67136.
 2006 11 0146.
 2006 12 70148·
 2007 01  62135.
 2007 02  87127·
 2007 03  84138·
 2007 04  47137·
 2007 05  75149.
 2007 06  51146·
 2007 07  39169·
 2007 08  18157·
 2007 09  25154·
 2007 10  39193·
 2007 11  78154.
 2007 12  27149·
 2008 01 88161.
 2008 02 60151.
 2008 03 39148·
 2008 04 43138.
 2008 05 63188.
 2008 06 45193.
 2008 07 85216.
 2008 08 60251·
 2008 09 77188.
 2008 10 50187·
 2008 11 4180.
 2008 12 98193·
 2009 01  79183.
 2009 02  57231.
 2009 03  9252·
 2009 04  1248·
 2009 05  45248.
 2009 06  73226.
 2009 07  37204.
 2009 08  37201·
 2009 09  76199.
 2009 10  29216.
 2009 11  51251.
 2009 12  2243·
 2010 01 96227.
 2010 02 82255·
 2010 03 40269·
 2010 04 13255.
 2010 05 57311.
 2010 06 13282·
 2010 07 16245·
 2010 08 16274·
 2010 09 33232·
 2010 10 29226·
 2010 11 17220·
 2010 12 79189·
 2011 01  25167·
 2011 02  63180·
 2011 03  6184·
 2011 04  97190.
 2011 05  58210.
 2011 06  70251.
 2011 07  71261.
 2011 08  88306·
 2011 09  83253.
 2011 10  32252.
 2011 11  25214·
 2011 12  98221·
 2012 01 75203·
 2012 02 55200·
 2012 03 6214·
 2012 04 94242.
 2012 05 35268.
 2012 06 72249·
 2012 07 76305·
 2012 08 71261·
 2012 09 88224.
 2012 10 39233·
 2012 11 24227·
 2012 12 48267·
 2013 01  84289.
 2013 02  38318.
 2013 03  62301·
 2013 04  70309.
 2013 05  98290.
 2013 06  75254·
 2013 07  28285·
 2013 08  5260·
 2013 09  32246·
 2013 10  82232.
 2013 11  85262.
 2013 12  48286·
 2014 01 10296·
 2014 02 16334·
 2014 03 22303.
 2014 04 18342·
 2014 05 83275.
 2014 06 58250·
 2014 07 50247.
 2014 08 59176.
 2014 09 26187·
 2014 10 15170·
 2014 11 8191·
 2014 12 40224·
 2015 01  40229.
 2015 02  18243.
 2015 03  59250.
 2015 04  55245.


 2015 05  50223·
 2015 06  24259.
 2015 07  91281.
 2015 08  23273.
 2015 09  6237.
 2015 10  16260.
 2015 11  16233·
 2015 12  89219.
 2016 01 84237·
 2016 02 98239·
 2016 03 72225.
 2016 04 21248.
 2016 05 85262·
 2016 06 4237·
 2016 07 23256·
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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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