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 Series Title: Employment Level: Mexican, Protective Service Occupations: NSA
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 2000 01 32125.
 2000 02 60115·
 2000 03 5119.
 2000 04 81122.
 2000 05 28123.
 2000 06 86134.
 2000 07 1150.
 2000 08 44135.
 2000 09 71118·
 2000 10 92122·
 2000 11 79128.
 2000 12 88149.
 2001 01  12162·
 2001 02  59162·
 2001 03  52146·
 2001 04  55149.
 2001 05  27138.
 2001 06  94125.
 2001 07  58153·
 2001 08  16193·
 2001 09  15177·
 2001 10  29169.
 2001 11  60193.
 2001 12  64205·
 2002 01 2170·
 2002 02 20170·
 2002 03 46163·
 2002 04 18121.
 2002 05 39124.
 2002 06 49128.
 2002 07 28143·
 2002 08 24172·
 2002 09 1157·
 2002 10 23152·
 2002 11 45160·
 2002 12 48146·
 2003 01  89158·
 2003 02  72143·
 2003 03  59163·
 2003 04  87138.
 2003 05  27138·
 2003 06  55150.
 2003 07  58155·
 2003 08  59155.
 2003 09  66127·
 2003 10  52128.
 2003 11  56123·
 2003 12  8192.
 2004 01 81177.
 2004 02 70184·
 2004 03 90192·
 2004 04 3143·
 2004 05 74153.
 2004 06 41177.
 2004 07 22173·
 2004 08 39211·
 2004 09 69199.
 2004 10 22207.
 2004 11 42194·
 2004 12 34225·
 2005 01  16188.
 2005 02  93159·
 2005 03  61185·
 2005 04  33177·
 2005 05  92172.
 2005 06  62189.
 2005 07  18184·
 2005 08  5161·
 2005 09  95184.
 2005 10  60152.
 2005 11  75162.
 2005 12  44168·
 2006 01 53154.
 2006 02 45159·
 2006 03 21186·
 2006 04 70197·
 2006 05 15194.
 2006 06 97206.
 2006 07 68171·
 2006 08 25163·
 2006 09 57129.
 2006 10 23136.
 2006 11 54146.
 2006 12 80148·
 2007 01  79135·
 2007 02  55127.
 2007 03  43138.
 2007 04  28137.
 2007 05  6149·
 2007 06  50146.
 2007 07  21169·
 2007 08  90157·
 2007 09  88154·
 2007 10  89193.
 2007 11  2154.
 2007 12  8149.
 2008 01 2161·
 2008 02 78151·
 2008 03 24148·
 2008 04 52138.
 2008 05 48188.
 2008 06 50193.
 2008 07 50216·
 2008 08 16251·
 2008 09 50188·
 2008 10 62187.
 2008 11 67180·
 2008 12 20193·
 2009 01  60183·
 2009 02  93231.
 2009 03  88252·
 2009 04  7248.
 2009 05  53248·
 2009 06  53226·
 2009 07  52204·
 2009 08  46201.
 2009 09  29199.
 2009 10  71216·
 2009 11  21251·
 2009 12  32243·
 2010 01 13227·
 2010 02 5255·
 2010 03 83269.
 2010 04 84255·
 2010 05 56311.
 2010 06 36282.
 2010 07 52245.
 2010 08 47274.
 2010 09 34232.
 2010 10 71226·
 2010 11 64220.
 2010 12 88189.
 2011 01  46167·
 2011 02  42180·
 2011 03  82184.
 2011 04  2190·
 2011 05  18210.
 2011 06  5251·
 2011 07  96261·
 2011 08  9306.
 2011 09  1253·
 2011 10  42252.
 2011 11  17214·
 2011 12  53221.
 2012 01 70203.
 2012 02 59200.
 2012 03 83214.
 2012 04 2242·
 2012 05 25268·
 2012 06 89249·
 2012 07 58305.
 2012 08 51261·
 2012 09 91224.
 2012 10 87233.
 2012 11 29227·
 2012 12 19267·


 2013 01  20289.
 2013 02  36318.
 2013 03  9301.
 2013 04  50309.
 2013 05  86290·
 2013 06  42254.
 2013 07  36285·
 2013 08  13260·
 2013 09  90246.
 2013 10  36232·
 2013 11  73262·
 2013 12  3286.
 2014 01 57296·
 2014 02 76334·
 2014 03 8303.
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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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