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 Series Title: Persons At Work in Nonagricultural Industries, 55 years and over: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 1228128·
 2012 03 8828388.
 2012 02 7928443.
 2012 01 627928·
 2011 12  1527648·
 2011 11  5527545.
 2011 10  7327282.
 2011 09  5127427.
 2011 08  4825650·
 2011 07  8225271·
 2011 06  3125923.
 2011 05  5726975·
 2011 04  5927146.
 2011 03  5326797·
 2011 02  6526517.
 2011 01  6826305.
 2010 12 2626637.
 2010 11 7226411.
 2010 10 1426138.
 2010 09 5426420.
 2010 08 4724826.
 2010 07 7324496.
 2010 06 3925551·
 2010 05 826270·
 2010 04 4926242·
 2010 03 1125982.
 2010 02 2925386·
 2010 01 5025612.
 2009 12  8125684·
 2009 11  6825713·
 2009 10  9825583.
 2009 09  2425256.
 2009 08  2024030·
 2009 07  5123501·
 2009 06  8224452·
 2009 05  9925595.
 2009 04  6525073·
 2009 03  9125315.
 2009 02  4425274.
 2009 01  6925399·
 2008 12 4225579·
 2008 11 4625508.
 2008 10 7425536·
 2008 09 5425294·
 2008 08 123921.
 2008 07 9623475·
 2008 06 8224143·
 2008 05 9724863.
 2008 04 1925050.
 2008 03 4924998·
 2008 02 824776.
 2008 01 6724685·
 2007 12  9424768.
 2007 11  3524801·
 2007 10  1424366.
 2007 09  5924474.
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 2006 12 4823781.
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 2006 01 9022296·
 2005 12  3922600·
 2005 11  9222409.
 2005 10  822338·
 2005 09  8921911.
 2005 08  3220821·
 2005 07  220173·
 2005 06  3620942.
 2005 05  6921746·
 2005 04  8721810·
 2005 03  021430·
 2005 02  4821323·
 2005 01  2420871.
 2004 12 2821385.
 2004 11 4221120·
 2004 10 3120908·
 2004 09 7320729·
 2004 08 619561.
 2004 07 919120.
 2004 06 9819683.
 2004 05 6020358·
 2004 04 9720188·
 2004 03 820464.
 2004 02 8820427.
 2004 01 5420084·
 2003 12  120272·
 2003 11  7120327·
 2003 10  6220016.
 2003 09  5019767·
 2003 08  4218617·
 2003 07  5418164.
 2003 06  918855·
 2003 05  6619608·
 2003 04  7319640.
 2003 03  3919430·
 2003 02  4119388.
 2003 01  4719236.
 2002 12 6719031.
 2002 11 3319042.
 2002 10 9719059·
 2002 09 6118957·
 2002 08 2617812.
 2002 07 6717249.
 2002 06 4017819·
 2002 05 418508.
 2002 04 7418347.
 2002 03 9818031.
 2002 02 5718054.
 2002 01 9417728.
 2001 12  6318012.
 2001 11  717771.
 2001 10  6117734·
 2001 09  7517533·
 2001 08  6716648·
 2001 07  216316·
 2001 06  9016830·
 2001 05  1617484.
 2001 04  8717098.
 2001 03  1317255.
 2001 02  817017·
 2001 01  1217030.
 2000 12 4917049·
 2000 11 9816800.
 2000 10 116857.
 2000 09 8116780.
 2000 08 215925·
 2000 07 3815599·
 2000 06 8315937.
 2000 05 6916689·
 2000 04 2216787.
 2000 03 4016654·
 2000 02 9216584.
 2000 01 4316353·
 1999 12  1016199·
 1999 11  3616030·
 1999 10  9015830.
 1999 09  9815731·
 1999 08  9114950·
 1999 07  8114587.
 1999 06  6615295.
 1999 05  5415628.
 1999 04  1515735.
 1999 03  5815629.
 1999 02  3215546.
 1999 01  5415276·
 1998 12 5715732·
 1998 11 7315546.
 1998 10 2615388.
 1998 09 6715183·
 1998 08 1914263·
 1998 07 5814019·
 1998 06 1214434·
 1998 05 8815135.
 1998 04 2514899·
 1998 03 7015071.
 1998 02 7614973.
 1998 01 3614937.
 1997 12  2715186.
 1997 11  9015110.
 1997 10  3314755.
 1997 09  5514415.
 1997 08  9813688·
 1997 07  2513162·
 1997 06  1913975·
 1997 05  1414543·
 1997 04  4014503·
 1997 03  614634·
 1997 02  9814347.
 1997 01  714163.
 1996 12 7814240.
 1996 11 9114292.
 1996 10 5814068·
 1996 09 5313969·
 1996 08 6213167·
 1996 07 6012906·
 1996 06 1113548.
 1996 05 9713853.
 1996 04 6913605.
 1996 03 2113815·
 1996 02 9513815·
 1996 01 813190·
 1995 12  9713886·
 1995 11  513931.
 1995 10  7413869.
 1995 09  7913807.
 1995 08  7312743·
 1995 07  6812626.
 1995 06  3512894.
 1995 05  3013545·
 1995 04  4713495·
 1995 03  9313570·
 1995 02  9113525.
 1995 01  513490.
 1994 12 9413757·
 1994 11 8613793·
 1994 10 8013510·
 1994 09 7413405·
 1994 08 1612523·
 1994 07 7912186·
 1994 06 6512868·
 1994 05 3013484.
 1994 04 3613328·
 1994 03 2713234.
 1994 02 3313151·
 1994 01 9213216·
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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: 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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