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 Series Title: Population Level: 55-64 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 241710·
 2012 03 981704.
 2012 02 351693·
 2012 01 681683.
 2011 12  561644.
 2011 11  591640·
 2011 10  391632.
 2011 09  881623.
 2011 08  791616.
 2011 07  431606.
 2011 06  691602.
 2011 05  321595.
 2011 04  441587·
 2011 03  321577·
 2011 02  381568·
 2011 01  431563.
 2010 12 261585.
 2010 11 331577·
 2010 10 831567.
 2010 09 921559.
 2010 08 261549.
 2010 07 781541·
 2010 06 681534·
 2010 05 711525·
 2010 04 681517.
 2010 03 221512.
 2010 02 811501.
 2010 01 11492.
 2009 12  41506.
 2009 11  481500.
 2009 10  331490·
 2009 09  251480.
 2009 08  91471·
 2009 07  631464.
 2009 06  651453·
 2009 05  131445·
 2009 04  821438.
 2009 03  971429.
 2009 02  371421.
 2009 01  581412.
 2008 12 501405·
 2008 11 81399·
 2008 10 381390.
 2008 09 801384·
 2008 08 631375.
 2008 07 771367·
 2008 06 811361·
 2008 05 231353.
 2008 04 961344.
 2008 03 121341·
 2008 02 41333.
 2008 01 561327·
 2007 12  501325.
 2007 11  421319.
 2007 10  701311.
 2007 09  741304·
 2007 08  491298.
 2007 07  261287.
 2007 06  661282·
 2007 05  941275.
 2007 04  451270·
 2007 03  441265.
 2007 02  61256·
 2007 01  621249·
 2006 12 131242.
 2006 11 41235·
 2006 10 271228.
 2006 09 471220.
 2006 08 541214.
 2006 07 381206·
 2006 06 931200.
 2006 05 431192.
 2006 04 911186·
 2006 03 01180.
 2006 02 911176·
 2006 01 681165.
 2005 12  771160·
 2005 11  751154·
 2005 10  331148·
 2005 09  681141.
 2005 08  861133·
 2005 07  671125·
 2005 06  591119.
 2005 05  101113.
 2005 04  191107·
 2005 03  81101·
 2005 02  301094·
 2005 01  901087·
 2004 12 11082.
 2004 11 571075·
 2004 10 351068·
 2004 09 271064.
 2004 08 831057·
 2004 07 931049·
 2004 06 871043·
 2004 05 641036·
 2004 04 391029·
 2004 03 231024.
 2004 02 241018·
 2004 01 711011·
 2003 12  711018.
 2003 11  801015.
 2003 10  71007·
 2003 09  421002.
 2003 08  3998·
 2003 07  19992·
 2003 06  26987.
 2003 05  96980·
 2003 04  87974·
 2003 03  24968.
 2003 02  93963.
 2003 01  77959·
 2002 12 97957.
 2002 11 99963·
 2002 10 47936·
 2002 09 54913.
 2002 08 34882·
 2002 07 77843·
 2002 06 49849.
 2002 05 22897·
 2002 04 24899·
 2002 03 14872·
 2002 02 88899·
 2002 01 99913.
 2001 12  15876·
 2001 11  93901·
 2001 10  76859·
 2001 09  30821.
 2001 08  85846·
 2001 07  19775·
 2001 06  53809.
 2001 05  84818.
 2001 04  34869·
 2001 03  24883·
 2001 02  80870·
 2001 01  55850·
 2000 12 86829.
 2000 11 65809·
 2000 10 45846.
 2000 09 62800.
 2000 08 93790·
 2000 07 24799.
 2000 06 62759.
 2000 05 50780.
 2000 04 29790.
 2000 03 8786·
 2000 02 67798.
 2000 01 87801·
 1999 12  95811·
 1999 11  47831·
 1999 10  25837.
 1999 09  67784·
 1999 08  17755.
 1999 07  99742.
 1999 06  23742·
 1999 05  11749.
 1999 04  44741·
 1999 03  44731.
 1999 02  74733·
 1999 01  61742·
 1998 12 53742.
 1998 11 91766.
 1998 10 15773.
 1998 09 87769·
 1998 08 43790·
 1998 07 70830.
 1998 06 10807.
 1998 05 83816.
 1998 04 40765.
 1998 03 38734.
 1998 02 47727.
 1998 01 69730.
 1997 12  94787.
 1997 11  77800·
 1997 10  38790·
 1997 09  88813·
 1997 08  81791·
 1997 07  94746.
 1997 06  21740.
 1997 05  9718·
 1997 04  2684.
 1997 03  19696·
 1997 02  60694·
 1997 01  28709.
 1996 12 80735·
 1996 11 10729.
 1996 10 42724·
 1996 09 62762·
 1996 08 68719.
 1996 07 48702·
 1996 06 79697·
 1996 05 56670.
 1996 04 40683.
 1996 03 41701.
 1996 02 11719.
 1996 01 79700.
 1995 12  97697·
 1995 11  18686·
 1995 10  99678·
 1995 09  26669.
 1995 08  64691·
 1995 07  38683.
 1995 06  32689·
 1995 05  15661.
 1995 04  91647.
 1995 03  82624·
 1995 02  23634·
 1995 01  90654·
 1994 12 54643.
 1994 11 57650.
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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: 55-64 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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