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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 92125·
 2000 02 16115·
 2000 03 39119·
 2000 04 96122·
 2000 05 46123.
 2000 06 48134.
 2000 07 65150·
 2000 08 88135·
 2000 09 91118·
 2000 10 4122.
 2000 11 17128.
 2000 12 4149·
 2001 01  78162.
 2001 02  65162·
 2001 03  7146·
 2001 04  87149·
 2001 05  82138·
 2001 06  38125.
 2001 07  75153.
 2001 08  8193·
 2001 09  3177·
 2001 10  55169.
 2001 11  81193·
 2001 12  59205.
 2002 01 68170·
 2002 02 71170.
 2002 03 16163.
 2002 04 61121.
 2002 05 25124·
 2002 06 69128.
 2002 07 91143·
 2002 08 57172.
 2002 09 52157·
 2002 10 55152.
 2002 11 44160.
 2002 12 16146·
 2003 01  47158.
 2003 02  61143.
 2003 03  38163.
 2003 04  33138·
 2003 05  37138.
 2003 06  44150·
 2003 07  61155·
 2003 08  27155.
 2003 09  72127·
 2003 10  85128·
 2003 11  26123.
 2003 12  42192·
 2004 01 27177·
 2004 02 91184·
 2004 03 71192.
 2004 04 47143.
 2004 05 2153.
 2004 06 94177·
 2004 07 58173.
 2004 08 36211·
 2004 09 24199·
 2004 10 50207·
 2004 11 77194·
 2004 12 29225.
 2005 01  42188·
 2005 02  40159·
 2005 03  38185.
 2005 04  69177.
 2005 05  32172.
 2005 06  72189.
 2005 07  81184.
 2005 08  25161.
 2005 09  94184·
 2005 10  77152·
 2005 11  69162.
 2005 12  93168.
 2006 01 53154·
 2006 02 11159.
 2006 03 88186.
 2006 04 90197.
 2006 05 61194.
 2006 06 57206·
 2006 07 53171·
 2006 08 62163.
 2006 09 92129.
 2006 10 22136·
 2006 11 0146·
 2006 12 76148·
 2007 01  47135·
 2007 02  35127·
 2007 03  94138·
 2007 04  28137·
 2007 05  50149·
 2007 06  55146.
 2007 07  21169·
 2007 08  37157·
 2007 09  54154·
 2007 10  63193·
 2007 11  94154.
 2007 12  46149.
 2008 01 32161.
 2008 02 65151·
 2008 03 53148·
 2008 04 24138.
 2008 05 86188.
 2008 06 94193·
 2008 07 58216·
 2008 08 67251.
 2008 09 40188·
 2008 10 6187.
 2008 11 99180.
 2008 12 93193·
 2009 01  46183·
 2009 02  81231.
 2009 03  88252.
 2009 04  46248·
 2009 05  78248.
 2009 06  29226.
 2009 07  63204.
 2009 08  95201.
 2009 09  37199.
 2009 10  78216·
 2009 11  87251.
 2009 12  34243·
 2010 01 48227·
 2010 02 88255.
 2010 03 48269.
 2010 04 84255·
 2010 05 62311.
 2010 06 38282·
 2010 07 59245.
 2010 08 87274·
 2010 09 54232.
 2010 10 36226·
 2010 11 57220.
 2010 12 13189·
 2011 01  24167·
 2011 02  13180·
 2011 03  6184.
 2011 04  55190.
 2011 05  98210·
 2011 06  27251.
 2011 07  93261.
 2011 08  34306·
 2011 09  27253·
 2011 10  57252.
 2011 11  31214·
 2011 12  94221.
 2012 01 85203·
 2012 02 13200.
 2012 03 59214.
 2012 04 3242·
 2012 05 73268.
 2012 06 24249.
 2012 07 39305.
 2012 08 55261·
 2012 09 16224·
 2012 10 47233·
 2012 11 58227·
 2012 12 70267.
 2013 01  65289.
 2013 02  65318.
 2013 03  31301·
 2013 04  92309.
 2013 05  96290.
 2013 06  83254·


 2013 07  94285·
 2013 08  90260·
 2013 09  8246.
 2013 10  34232.
 2013 11  11262·
 2013 12  58286.
 2014 01 27296.
 2014 02 75334.
 2014 03 70303·
 2014 04 16342.
 2014 05 3275.
 2014 06 85250·
 2014 07 83247.
 2014 08 7176.
 2014 09 12187.
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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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