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 Series Title: Persons At Work in Nonagricultural Industries, 55 years and over, Worked 1-34 Hours: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 487927·
 2012 03 447965·
 2012 02 668126.
 2012 01 428015.
 2011 12  257739·
 2011 11  678949.
 2011 10  258180.
 2011 09  847650·
 2011 08  127186·
 2011 07  327058·
 2011 06  287263.
 2011 05  687560.
 2011 04  607572.
 2011 03  217672.
 2011 02  897791·
 2011 01  398269·
 2010 12 437750.
 2010 11 418778·
 2010 10 457953·
 2010 09 667594.
 2010 08 637207·
 2010 07 236909.
 2010 06 607248·
 2010 05 427313·
 2010 04 447236.
 2010 03 237481·
 2010 02 218427·
 2010 01 877487·
 2009 12  387780·
 2009 11  258850.
 2009 10  418397·
 2009 09  4611394·
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 2009 07  336846.
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 2009 01  47261.
 2008 12 697338.
 2008 11 228286.
 2008 10 597656.
 2008 09 167115.
 2008 08 156751·
 2008 07 416809.
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 2008 04 996818.
 2008 03 436678.
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 2008 01 306565.
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 2007 11  616806.
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 2007 09  946785.
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 2005 11  127338·
 2005 10  87002.
 2005 09  626041.
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 2005 07  235882.
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 2005 05  836104.
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 2005 03  25985·
 2005 02  456186.
 2005 01  605905·
 2004 12 516276.
 2004 11 67092.
 2004 10 996696.
 2004 09 126198.
 2004 08 905878.
 2004 07 175736.
 2004 06 185865.
 2004 05 835833.
 2004 04 235728.
 2004 03 415743.
 2004 02 405748·
 2004 01 435685.
 2003 12  505865.
 2003 11  106536·
 2003 10  286052.
 2003 09  865519·
 2003 08  965624.
 2003 07  815479.
 2003 06  705456.
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 2003 03  355525.
 2003 02  805730.
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 2002 12 745701·
 2002 11 796052.
 2002 10 945494.
 2002 09 265406.
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 2002 07 445038·
 2002 06 765179·
 2002 05 405321.
 2002 04 605321.
 2002 03 885297.
 2002 02 135387·
 2002 01 835042·
 2001 12  595336.
 2001 11  915778·
 2001 10  195800.
 2001 09  985474.
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 2001 07  614845.
 2001 06  314776·
 2001 05  564992.
 2001 04  495773.
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 2000 12 665141.
 2000 11 515132.
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 2000 09 965032·
 2000 08 554813.
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 2000 04 934898·
 2000 03 125022.
 2000 02 764776·
 2000 01 584808·
 1999 12  794881.
 1999 11  895640·
 1999 10  645200·
 1999 09  355101.
 1999 08  404657.
 1999 07  974617.
 1999 06  104598·
 1999 05  944842·
 1999 04  254685·
 1999 03  174825.
 1999 02  284739.
 1999 01  785037·
 1998 12 104835·
 1998 11 585599.
 1998 10 555432.
 1998 09 577802.
 1998 08 954336·
 1998 07 494456·
 1998 06 554463.
 1998 05 254713.
 1998 04 64733.
 1998 03 494718·
 1998 02 154716.
 1998 01 24652·
 1997 12  934746·
 1997 11  375353·
 1997 10  485143·
 1997 09  304437.
 1997 08  324387·
 1997 07  224245.
 1997 06  924506·
 1997 05  794561·
 1997 04  224424·
 1997 03  354618.
 1997 02  104646.
 1997 01  444750·
 1996 12 904639·
 1996 11 325091.
 1996 10 904496·
 1996 09 444424·
 1996 08 864356·
 1996 07 964213·
 1996 06 454295·
 1996 05 234347·
 1996 04 844431·
 1996 03 314390·
 1996 02 134692·
 1996 01 495341·
 1995 12  864512.
 1995 11  724470.
 1995 10  555091.
 1995 09  174567.
 1995 08  174179.
 1995 07  734069·
 1995 06  624255.
 1995 05  474453·
 1995 04  275180.
 1995 03  174580·
 1995 02  444634.
 1995 01  814473·
 1994 12 924578·
 1994 11 105471·
 1994 10 414998.
 1994 09 914526·
 1994 08 114187·
 1994 07 844030.
 1994 06 154294.
 1994 05 684443.
 1994 04 114300·
 1994 03 954366.
 1994 02 545008.
 1994 01 344569·
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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: Persons At Work in Nonagricultural Industries, 55 years and over, Worked 1-34 Hours: 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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