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 Series Title: Total At Work in Nonagricultural Industries, 55 years and over, Worked 1-34 Hours, for Economic Reasons: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 301230.
 2012 03 611278·
 2012 02 61336.
 2012 01 601433.
 2011 12  451207.
 2011 11  821169.
 2011 10  981166·
 2011 09  461400.
 2011 08  621300·
 2011 07  391220·
 2011 06  291225·
 2011 05  691270·
 2011 04  351253.
 2011 03  141291.
 2011 02  111423·
 2011 01  721414.
 2010 12 361404·
 2010 11 131262.
 2010 10 831150.
 2010 09 251320.
 2010 08 681238.
 2010 07 681260.
 2010 06 61271.
 2010 05 211189.
 2010 04 551330.
 2010 03 351466.
 2010 02 701385.
 2010 01 801408.
 2009 12  481402·
 2009 11  961342·
 2009 10  861228.
 2009 09  461138.
 2009 08  221192·
 2009 07  591090·
 2009 06  931207·
 2009 05  871312.
 2009 04  781275·
 2009 03  531291.
 2009 02  541363·
 2009 01  991254·
 2008 12 411123.
 2008 11 37997.
 2008 10 56824·
 2008 09 0851.
 2008 08 61826.
 2008 07 92793.
 2008 06 13747·
 2008 05 35654·
 2008 04 14698·
 2008 03 24716·
 2008 02 62678·
 2008 01 72695.
 2007 12  0589·
 2007 11  65624·
 2007 10  66484·
 2007 09  6507.
 2007 08  44637·
 2007 07  71560·
 2007 06  13527·
 2007 05  56596·
 2007 04  98561.
 2007 03  25536.
 2007 02  17513.
 2007 01  66664·
 2006 12 35577.
 2006 11 33509·
 2006 10 14455·
 2006 09 5480·
 2006 08 58564·
 2006 07 27534·
 2006 06 68493·
 2006 05 67545.
 2006 04 90453.
 2006 03 62485·
 2006 02 66597·
 2006 01 71639·
 2005 12  83588.
 2005 11  22525.
 2005 10  22435.
 2005 09  62523.
 2005 08  12488.
 2005 07  12500.
 2005 06  74453·
 2005 05  9470.
 2005 04  77501·
 2005 03  64549.
 2005 02  84550.
 2005 01  6579.
 2004 12 4579·
 2004 11 35547.
 2004 10 40571.
 2004 09 71412·
 2004 08 43474·
 2004 07 6466.
 2004 06 55456·
 2004 05 50504.
 2004 04 69465.
 2004 03 85516·
 2004 02 68517·
 2004 01 11663·
 2003 12  83610.
 2003 11  2572.
 2003 10  40462·
 2003 09  49425·
 2003 08  10476·
 2003 07  14483·
 2003 06  60512.
 2003 05  81543·
 2003 04  1559·
 2003 03  4543·
 2003 02  40561.
 2003 01  54580.
 2002 12 31461.
 2002 11 77410·
 2002 10 20454·
 2002 09 35405.
 2002 08 0449.
 2002 07 65447.
 2002 06 60373·
 2002 05 20351·
 2002 04 34477·
 2002 03 25482·
 2002 02 50461.
 2002 01 26420·
 2001 12  83401.
 2001 11  39419·
 2001 10  2417·
 2001 09  99417.
 2001 08  23339·
 2001 07  13328·
 2001 06  55391.
 2001 05  7330·
 2001 04  54330.
 2001 03  79333.
 2001 02  70319·
 2001 01  45429.
 2000 12 1333.
 2000 11 93306.
 2000 10 36300.
 2000 09 31355·
 2000 08 14349·
 2000 07 37258.
 2000 06 67301.
 2000 05 10338.
 2000 04 70339·
 2000 03 18317·
 2000 02 98302·
 2000 01 51337·
 1999 12  69274.
 1999 11  68248·
 1999 10  95233.
 1999 09  48258.
 1999 08  35300·
 1999 07  43314.
 1999 06  43302.
 1999 05  21336·
 1999 04  20311·
 1999 03  24366·
 1999 02  58349.
 1999 01  12379.
 1998 12 98319·
 1998 11 18339·
 1998 10 75275·
 1998 09 93276·
 1998 08 70322·
 1998 07 58357·
 1998 06 59315.
 1998 05 56337.
 1998 04 62353.
 1998 03 99383.
 1998 02 96379.
 1998 01 20370·
 1997 12  24320.
 1997 11  23380·
 1997 10  1336.
 1997 09  31322·
 1997 08  30370·
 1997 07  37351·
 1997 06  10354.
 1997 05  56338·
 1997 04  83365·
 1997 03  73441.
 1997 02  87373·
 1997 01  91368.
 1996 12 7338.
 1996 11 87289.
 1996 10 20355·
 1996 09 55371·
 1996 08 52402·
 1996 07 60356.
 1996 06 21375.
 1996 05 90354.
 1996 04 93384·
 1996 03 0441·
 1996 02 29411·
 1996 01 68370·
 1995 12  32383·
 1995 11  39377.
 1995 10  5382·
 1995 09  81426·
 1995 08  94395.
 1995 07  32394.
 1995 06  39324.
 1995 05  49396·
 1995 04  28357·
 1995 03  61358·
 1995 02  43430.
 1995 01  16430.
 1994 12 11386·
 1994 11 33380·
 1994 10 55357·
 1994 09 51302.
 1994 08 43376·
 1994 07 80392.
 1994 06 38373.
 1994 05 49381.
 1994 04 49352.
 1994 03 58440·
 1994 02 80351.
 1994 01 28454·
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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: Total At Work in Nonagricultural Industries, 55 years and over, Worked 1-34 Hours, for Economic Reasons: 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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