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 Series Title: Population Level: 16-17 years, Hispanic or Latino Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 111007.
 2012 03 17995·
 2012 02 61014·
 2012 01 33925.
 2011 12  73850.
 2011 11  6903·
 2011 10  12939·
 2011 09  3947.
 2011 08  70985.
 2011 07  621038.
 2011 06  88994·
 2011 05  41974.
 2011 04  52952·
 2011 03  67962·
 2011 02  46926.
 2011 01  90940.
 2010 12 96847·
 2010 11 28855·
 2010 10 25861.
 2010 09 20849·
 2010 08 0843.
 2010 07 76842.
 2010 06 86881.
 2010 05 25903·
 2010 04 91853·
 2010 03 68835·
 2010 02 20800·
 2010 01 24800·
 2009 12  20824·
 2009 11  85821·
 2009 10  37813·
 2009 09  61849.
 2009 08  60803.
 2009 07  34786·
 2009 06  76810·
 2009 05  5834·
 2009 04  14840·
 2009 03  47811.
 2009 02  0794·
 2009 01  51833.
 2008 12 6862.
 2008 11 80877.
 2008 10 97840·
 2008 09 17826.
 2008 08 86798·
 2008 07 15849.
 2008 06 80841·
 2008 05 48837·
 2008 04 30835·
 2008 03 59866·
 2008 02 86806·
 2008 01 12815·
 2007 12  39790·
 2007 11  43794·
 2007 10  78792.
 2007 09  5811·
 2007 08  37809.
 2007 07  24828.
 2007 06  45772.
 2007 05  44781.
 2007 04  76777.
 2007 03  83753·
 2007 02  99789.
 2007 01  75789.
 2006 12 30771.
 2006 11 28790·
 2006 10 79789·
 2006 09 67747.
 2006 08 0733.
 2006 07 89734·
 2006 06 46754.
 2006 05 13787·
 2006 04 12762.
 2006 03 24761.
 2006 02 89772.
 2006 01 32760·
 2005 12  15751·
 2005 11  14793.
 2005 10  21735·
 2005 09  69718·
 2005 08  85738·
 2005 07  66726·
 2005 06  80745.
 2005 05  94767·
 2005 04  23717·
 2005 03  11676.
 2005 02  28698·
 2005 01  99694.
 2004 12 54727.
 2004 11 7704.
 2004 10 54686.
 2004 09 4648.
 2004 08 28627.
 2004 07 33653·
 2004 06 70650·
 2004 05 54644.
 2004 04 21648·
 2004 03 99649·
 2004 02 15666.
 2004 01 18663.
 2003 12  32687·
 2003 11  34671.
 2003 10  50686.
 2003 09  89697·
 2003 08  89694·
 2003 07  96680.
 2003 06  65681.
 2003 05  87673·
 2003 04  40648.
 2003 03  66655·
 2003 02  71663·
 2003 01  56655·
 2002 12 61604.
 2002 11 50569·
 2002 10 8570·
 2002 09 64580·
 2002 08 53650.
 2002 07 82630.
 2002 06 37627·
 2002 05 8603·
 2002 04 41640·
 2002 03 16640.
 2002 02 46637.
 2002 01 4634·
 2001 12  76594·
 2001 11  36627.
 2001 10  49605·
 2001 09  98624·
 2001 08  32598·
 2001 07  47595·
 2001 06  84604·
 2001 05  58632·
 2001 04  10639.
 2001 03  80648.
 2001 02  12642·
 2001 01  80624·
 2000 12 36576·
 2000 11 94609·
 2000 10 23623.
 2000 09 81642.
 2000 08 60651.
 2000 07 69639.
 2000 06 29651.
 2000 05 6636.
 2000 04 58669.
 2000 03 12687.
 2000 02 68669·
 2000 01 25630·
 1999 12  29557.
 1999 11  54537.
 1999 10  3556.
 1999 09  31606·
 1999 08  99612.
 1999 07  53639.
 1999 06  21588·
 1999 05  43567·
 1999 04  19590·
 1999 03  90548·
 1999 02  36537.
 1999 01  6514.
 1998 12 64554.
 1998 11 71564·
 1998 10 86585.
 1998 09 88609·
 1998 08 34616.
 1998 07 29641.
 1998 06 33618.
 1998 05 85608.
 1998 04 55560.
 1998 03 19564·
 1998 02 65557.
 1998 01 15559.
 1997 12  77580.
 1997 11  24569.
 1997 10  96557.
 1997 09  21604.
 1997 08  75590.
 1997 07  50613.
 1997 06  62584·
 1997 05  75575·
 1997 04  50589·
 1997 03  29574.
 1997 02  28581·
 1997 01  68607.
 1996 12 28520.
 1996 11 17508.
 1996 10 80499·
 1996 09 21483.
 1996 08 58493·
 1996 07 96490.
 1996 06 32491·
 1996 05 78489.
 1996 04 16494·
 1996 03 73478.
 1996 02 22441·
 1996 01 8433.
 1995 12  3458.
 1995 11  79487·
 1995 10  12445·
 1995 09  5450·
 1995 08  44457·
 1995 07  72482.
 1995 06  90517.
 1995 05  88517·
 1995 04  89479·
 1995 03  31486.
 1995 02  70502.
 1995 01  1487·
 1994 12 13472.
 1994 11 65456·
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: 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: Population Level: 16-17 years, Hispanic or Latino Men: 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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