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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 38125.
 2000 02 31115·
 2000 03 15119·
 2000 04 9122.
 2000 05 61123·
 2000 06 17134·
 2000 07 28150·
 2000 08 73135.
 2000 09 12118.
 2000 10 63122·
 2000 11 4128.
 2000 12 97149·
 2001 01  42162.
 2001 02  53162.
 2001 03  57146.
 2001 04  27149.
 2001 05  27138.
 2001 06  91125·
 2001 07  24153.
 2001 08  32193.
 2001 09  67177.
 2001 10  10169·
 2001 11  69193·
 2001 12  5205·
 2002 01 88170·
 2002 02 67170·
 2002 03 78163·
 2002 04 66121.
 2002 05 39124·
 2002 06 43128.
 2002 07 65143·
 2002 08 59172.
 2002 09 96157·
 2002 10 45152.
 2002 11 68160·
 2002 12 52146.
 2003 01  60158·
 2003 02  4143.
 2003 03  49163.
 2003 04  41138.
 2003 05  56138.
 2003 06  77150.
 2003 07  97155.
 2003 08  44155.
 2003 09  34127·
 2003 10  46128·
 2003 11  24123.
 2003 12  6192·
 2004 01 70177·
 2004 02 17184·
 2004 03 69192·
 2004 04 95143.
 2004 05 64153·
 2004 06 23177·
 2004 07 94173.
 2004 08 6211·
 2004 09 42199.
 2004 10 19207.
 2004 11 87194.
 2004 12 58225.
 2005 01  54188.
 2005 02  87159·
 2005 03  61185·
 2005 04  94177.
 2005 05  74172·
 2005 06  35189·
 2005 07  54184·
 2005 08  85161.
 2005 09  5184·
 2005 10  92152.
 2005 11  29162.
 2005 12  24168·
 2006 01 71154·
 2006 02 18159.
 2006 03 73186·
 2006 04 31197.
 2006 05 22194·
 2006 06 92206.
 2006 07 0171·
 2006 08 49163·
 2006 09 34129·
 2006 10 21136.
 2006 11 47146.
 2006 12 47148·
 2007 01  7135·
 2007 02  38127.
 2007 03  78138·
 2007 04  21137.
 2007 05  67149·
 2007 06  98146.
 2007 07  80169.
 2007 08  89157·
 2007 09  64154.
 2007 10  84193·
 2007 11  66154·
 2007 12  94149·
 2008 01 74161.
 2008 02 2151.
 2008 03 73148.
 2008 04 7138.
 2008 05 96188.
 2008 06 83193·
 2008 07 66216·
 2008 08 22251·
 2008 09 56188.
 2008 10 85187·
 2008 11 32180.
 2008 12 56193·
 2009 01  5183·
 2009 02  89231·
 2009 03  83252·
 2009 04  56248·
 2009 05  18248·
 2009 06  1226.
 2009 07  58204.
 2009 08  89201.
 2009 09  96199·
 2009 10  54216·
 2009 11  20251.
 2009 12  51243·
 2010 01 63227·
 2010 02 4255.
 2010 03 55269.
 2010 04 59255.
 2010 05 70311.
 2010 06 32282.
 2010 07 78245·
 2010 08 59274.
 2010 09 93232·
 2010 10 46226·
 2010 11 26220·
 2010 12 19189·
 2011 01  32167.
 2011 02  76180.
 2011 03  62184·
 2011 04  34190·
 2011 05  12210·
 2011 06  80251.
 2011 07  74261.
 2011 08  22306·
 2011 09  84253·
 2011 10  38252·
 2011 11  75214.
 2011 12  28221·
 2012 01 24203.
 2012 02 59200.
 2012 03 3214.
 2012 04 21242·
 2012 05 30268·
 2012 06 73249.
 2012 07 20305.
 2012 08 95261·
 2012 09 30224·
 2012 10 37233·
 2012 11 14227·
 2012 12 69267·
 2013 01  72289·
 2013 02  33318·
 2013 03  99301·
 2013 04  88309.
 2013 05  34290·
 2013 06  67254.
 2013 07  12285·
 2013 08  20260·
 2013 09  14246.


 2013 10  70232.
 2013 11  16262.
 2013 12  60286·
 2014 01 39296.
 2014 02 1334.
 2014 03 0303·
 2014 04 27342.
 2014 05 59275·
 2014 06 40250·
 2014 07 75247·
 2014 08 64176·
 2014 09 49187.
 2014 10 93170.
 2014 11 80191.
 2014 12 42224.
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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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