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 Series Title: Employment Level: Mexican, Protective Service Occupations: NSA
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 2000 01 53125.
 2000 02 63115·
 2000 03 34119.
 2000 04 75122.
 2000 05 20123.
 2000 06 3134·
 2000 07 61150.
 2000 08 62135·
 2000 09 54118·
 2000 10 41122·
 2000 11 89128.
 2000 12 48149.
 2001 01  4162·
 2001 02  60162.
 2001 03  31146.
 2001 04  76149·
 2001 05  47138.
 2001 06  65125.
 2001 07  24153.
 2001 08  16193·
 2001 09  82177·
 2001 10  89169.
 2001 11  32193·
 2001 12  63205.
 2002 01 35170.
 2002 02 88170.
 2002 03 43163.
 2002 04 34121.
 2002 05 56124.
 2002 06 43128.
 2002 07 69143·
 2002 08 75172·
 2002 09 21157.
 2002 10 62152·
 2002 11 48160·
 2002 12 55146·
 2003 01  30158·
 2003 02  75143·
 2003 03  43163·
 2003 04  67138·
 2003 05  9138.
 2003 06  41150·
 2003 07  43155.
 2003 08  31155.
 2003 09  7127.
 2003 10  39128·
 2003 11  59123·
 2003 12  90192.
 2004 01 1177·
 2004 02 78184.
 2004 03 30192.
 2004 04 15143·
 2004 05 90153.
 2004 06 88177.
 2004 07 19173.
 2004 08 99211·
 2004 09 0199.
 2004 10 26207.
 2004 11 13194.
 2004 12 62225·
 2005 01  82188.
 2005 02  73159.
 2005 03  26185·
 2005 04  47177·
 2005 05  10172·
 2005 06  38189.
 2005 07  95184·
 2005 08  23161·
 2005 09  86184·
 2005 10  50152·
 2005 11  84162·
 2005 12  86168·
 2006 01 34154.
 2006 02 67159.
 2006 03 80186·
 2006 04 53197·
 2006 05 6194·
 2006 06 71206.
 2006 07 95171.
 2006 08 69163.
 2006 09 75129.
 2006 10 67136·
 2006 11 69146·
 2006 12 4148.
 2007 01  44135·
 2007 02  88127·
 2007 03  63138·
 2007 04  50137.
 2007 05  36149.
 2007 06  91146.
 2007 07  67169.
 2007 08  29157·
 2007 09  3154.
 2007 10  56193·
 2007 11  91154·
 2007 12  83149.
 2008 01 21161·
 2008 02 91151.
 2008 03 76148.
 2008 04 81138.
 2008 05 88188.
 2008 06 27193·
 2008 07 83216·
 2008 08 19251·
 2008 09 31188·
 2008 10 21187·
 2008 11 0180·
 2008 12 15193·
 2009 01  0183.
 2009 02  54231·
 2009 03  40252.
 2009 04  12248.
 2009 05  71248.
 2009 06  34226·
 2009 07  41204.
 2009 08  82201.
 2009 09  43199·
 2009 10  91216.
 2009 11  66251.
 2009 12  16243·
 2010 01 43227.
 2010 02 82255.
 2010 03 3269.
 2010 04 35255.
 2010 05 21311·
 2010 06 90282.
 2010 07 65245.
 2010 08 83274.
 2010 09 51232.
 2010 10 21226·
 2010 11 89220·
 2010 12 29189.
 2011 01  35167·
 2011 02  5180·
 2011 03  39184·
 2011 04  67190.
 2011 05  98210·
 2011 06  1251·
 2011 07  3261.
 2011 08  16306.
 2011 09  90253.
 2011 10  89252·
 2011 11  92214.
 2011 12  20221·
 2012 01 87203.
 2012 02 77200·
 2012 03 46214.
 2012 04 49242.
 2012 05 89268·
 2012 06 95249.
 2012 07 27305·
 2012 08 96261.
 2012 09 21224.
 2012 10 1233·
 2012 11 23227·
 2012 12 81267.
 2013 01  34289·
 2013 02  77318·
 2013 03  47301·
 2013 04  48309.
 2013 05  3290.
 2013 06  27254.
 2013 07  36285.
 2013 08  66260·
 2013 09  28246·
 2013 10  86232·
 2013 11  54262.
 2013 12  29286.
 2014 01 36296·
 2014 02 8334·
 2014 03 89303·
 2014 04 57342.
 2014 05 76275.
 2014 06 77250·
 2014 07 53247·
 2014 08 92176.
 2014 09 24187.
 2014 10 97170·
 2014 11 85191.
 2014 12 6224.
 2015 01  80229·


 2015 02  2243·
 2015 03  46250.
 2015 04  91245·
 2015 05  69223.
 2015 06  47259.
 2015 07  26281·
 2015 08  67273·
 2015 09  42237·
 2015 10  15260·
 2015 11  37233·
 2015 12  78219·
 2016 01 75237.
 2016 02 11239·
 2016 03 16225.
 2016 04 93248·
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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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