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 Series Title: Total At Work in Nonagricultural Industries, 55 years and over, Worked 1-34 Hours, for Noneconomic Reasons, Usually Work Full Time: NSA
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 2012 04 621609·
 2012 03 121755.
 2012 02 421708.
 2012 01 611662.
 2011 12  31594.
 2011 11  12699.
 2011 10  932119.
 2011 09  471453.
 2011 08  101665.
 2011 07  881631·
 2011 06  441706.
 2011 05  311493·
 2011 04  341427.
 2011 03  551459.
 2011 02  101641.
 2011 01  572247·
 2010 12 501509.
 2010 11 82512.
 2010 10 272026·
 2010 09 961458.
 2010 08 581653.
 2010 07 801507·
 2010 06 581590.
 2010 05 411565.
 2010 04 851209.
 2010 03 281374.
 2010 02 922579·
 2010 01 111409.
 2009 12  791605·
 2009 11  322735.
 2009 10  412468.
 2009 09  505563.
 2009 08  181633.
 2009 07  991615·
 2009 06  441667.
 2009 05  281407.
 2009 04  01491.
 2009 03  611312.
 2009 02  631489·
 2009 01  391482·
 2008 12 521460.
 2008 11 752520.
 2008 10 862059.
 2008 09 11554.
 2008 08 241620·
 2008 07 221679.
 2008 06 251506·
 2008 05 591356·
 2008 04 911331·
 2008 03 81329·
 2008 02 201750.
 2008 01 831319·
 2007 12  541543.
 2007 11  671396.
 2007 10  322011·
 2007 09  651575.
 2007 08  381531·
 2007 07  531570.
 2007 06  501388.
 2007 05  261380·
 2007 04  931593.
 2007 03  491404·
 2007 02  862231.
 2007 01  91409.
 2006 12 951597·
 2006 11 622223·
 2006 10 792085·
 2006 09 841226.
 2006 08 441572.
 2006 07 231424·
 2006 06 911515.
 2006 05 451331·
 2006 04 662217.
 2006 03 891481.
 2006 02 101511·
 2006 01 111266·
 2005 12  101469.
 2005 11  402338.
 2005 10  492102·
 2005 09  261195·
 2005 08  531408.
 2005 07  851434·
 2005 06  461386.
 2005 05  591275·
 2005 04  951176.
 2005 03  551290.
 2005 02  641377.
 2005 01  41281·
 2004 12 611216·
 2004 11 62178·
 2004 10 911864·
 2004 09 811578.
 2004 08 21468·
 2004 07 191386.
 2004 06 391431·
 2004 05 331207·
 2004 04 921286.
 2004 03 31087.
 2004 02 471216.
 2004 01 301131.
 2003 12  331274.
 2003 11  871876·
 2003 10  771569·
 2003 09  661069·
 2003 08  501495.
 2003 07  301325.
 2003 06  171185.
 2003 05  601082.
 2003 04  921127.
 2003 03  111090.
 2003 02  811350·
 2003 01  561098.
 2002 12 361485·
 2002 11 391858.
 2002 10 61256.
 2002 09 241174.
 2002 08 821231·
 2002 07 451243·
 2002 06 541191·
 2002 05 571154.
 2002 04 56953.
 2002 03 85992·
 2002 02 151248·
 2002 01 75980.
 2001 12  61093.
 2001 11  411576.
 2001 10  01531·
 2001 09  211354.
 2001 08  101107.
 2001 07  201197·
 2001 06  481098.
 2001 05  651037.
 2001 04  681798.
 2001 03  53995.
 2001 02  211161.
 2001 01  1984.
 2000 12 41037·
 2000 11 971066.
 2000 10 81413·
 2000 09 49968.
 2000 08 701097·
 2000 07 34920.
 2000 06 211026·
 2000 05 52919.
 2000 04 40970·
 2000 03 70996·
 2000 02 98826.
 2000 01 79891·
 1999 12  15945.
 1999 11  371827.
 1999 10  31401·
 1999 09  251273·
 1999 08  211026·
 1999 07  91969.
 1999 06  22955·
 1999 05  8959·
 1999 04  7915·
 1999 03  15908.
 1999 02  69977·
 1999 01  731265.
 1998 12 49897·
 1998 11 141785.
 1998 10 821705.
 1998 09 904068·
 1998 08 49909·
 1998 07 211014·
 1998 06 24991·
 1998 05 51931·
 1998 04 301092·
 1998 03 92978·
 1998 02 82972·
 1998 01 77986·
 1997 12  43924.
 1997 11  91531·
 1997 10  701450.
 1997 09  11875.
 1997 08  641070·
 1997 07  78927·
 1997 06  24963·
 1997 05  23858·
 1997 04  93761.
 1997 03  31838.
 1997 02  101028·
 1997 01  71048·
 1996 12 561001.
 1996 11 251501.
 1996 10 13995.
 1996 09 81826·
 1996 08 31005.
 1996 07 41984·
 1996 06 47859·
 1996 05 90813.
 1996 04 9960.
 1996 03 86774·
 1996 02 50990.
 1996 01 41834·
 1995 12  75934.
 1995 11  91796·
 1995 10  851261·
 1995 09  16793.
 1995 08  26872.
 1995 07  14770·
 1995 06  39889.
 1995 05  45768·
 1995 04  121574.
 1995 03  36933.
 1995 02  26927.
 1995 01  35762·
 1994 12 9871·
 1994 11 631614.
 1994 10 841337.
 1994 09 57933.
 1994 08 18892·
 1994 07 27764·
 1994 06 74782·
 1994 05 3772.
 1994 04 63656.
 1994 03 85728·
 1994 02 861517.
 1994 01 93965.
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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 Noneconomic Reasons, Usually Work Full Time: 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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