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 Series Title: Population Level: 65-69 years, Hispanic or Latino: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 711113·
 2012 03 611103·
 2012 02 571087·
 2012 01 341037·
 2011 12  961059.
 2011 11  451070.
 2011 10  881138·
 2011 09  611064.
 2011 08  80977.
 2011 07  20951·
 2011 06  14940·
 2011 05  80974.
 2011 04  76968·
 2011 03  70972.
 2011 02  47982.
 2011 01  36948.
 2010 12 571039·
 2010 11 991089·
 2010 10 261017.
 2010 09 98981·
 2010 08 24932·
 2010 07 41963.
 2010 06 14970·
 2010 05 591016·
 2010 04 3980·
 2010 03 521009.
 2010 02 971013.
 2010 01 40944.
 2009 12  44954·
 2009 11  13866·
 2009 10  90858.
 2009 09  84908·
 2009 08  23942·
 2009 07  321009.
 2009 06  29996·
 2009 05  591001·
 2009 04  39991·
 2009 03  391034·
 2009 02  79974.
 2009 01  62881·
 2008 12 19833·
 2008 11 91834.
 2008 10 26849.
 2008 09 9914·
 2008 08 12931.
 2008 07 70979.
 2008 06 84931.
 2008 05 47900.
 2008 04 94884·
 2008 03 83893.
 2008 02 91897.
 2008 01 43869·
 2007 12  66914·
 2007 11  61896.
 2007 10  9879·
 2007 09  92877.
 2007 08  52859·
 2007 07  61798.
 2007 06  26755.
 2007 05  14740·
 2007 04  4792.
 2007 03  65812·
 2007 02  56887.
 2007 01  51865·
 2006 12 96858.
 2006 11 79860.
 2006 10 35797.
 2006 09 74761·
 2006 08 29733·
 2006 07 34685·
 2006 06 28661.
 2006 05 77701.
 2006 04 28716·
 2006 03 88770.
 2006 02 22774.
 2006 01 78795.
 2005 12  44764·
 2005 11  23715·
 2005 10  29723·
 2005 09  22673·
 2005 08  53711.
 2005 07  44729·
 2005 06  88710·
 2005 05  78777·
 2005 04  53748·
 2005 03  83755·
 2005 02  62758·
 2005 01  40726·
 2004 12 72777·
 2004 11 97709·
 2004 10 38709.
 2004 09 27693·
 2004 08 59701·
 2004 07 68729·
 2004 06 30723·
 2004 05 83739·
 2004 04 90736.
 2004 03 3745·
 2004 02 74729.
 2004 01 78710.
 2003 12  64742.
 2003 11  32716.
 2003 10  35672·
 2003 09  6683.
 2003 08  8689.
 2003 07  13696.
 2003 06  0724.
 2003 05  86685.
 2003 04  72683.
 2003 03  27684.
 2003 02  82659·
 2003 01  61657.
 2002 12 32636.
 2002 11 81584.
 2002 10 19548·
 2002 09 2563.
 2002 08 87511.
 2002 07 7539·
 2002 06 73646.
 2002 05 1644.
 2002 04 62662.
 2002 03 60695.
 2002 02 33667·
 2002 01 79671·
 2001 12  10676·
 2001 11  24622.
 2001 10  12587·
 2001 09  80553.
 2001 08  4532.
 2001 07  4595·
 2001 06  47605·
 2001 05  72669.
 2001 04  45657.
 2001 03  32620.
 2001 02  1620.
 2001 01  50613.
 2000 12 59597.
 2000 11 65626.
 2000 10 62637·
 2000 09 33576.
 2000 08 96599·
 2000 07 84630.
 2000 06 43588.
 2000 05 65610·
 2000 04 31632.
 2000 03 96618.
 2000 02 83632·
 2000 01 15613.
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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: 65-69 years, Hispanic or Latino: 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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