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 Series Title: Employment Level: Nonagriculture, Private Industries Wage and Salary Workers, 65 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 474887.
 2012 03 804864.
 2012 02 424875.
 2012 01 164730.
 2011 12  114711.
 2011 11  364688.
 2011 10  34675·
 2011 09  564565·
 2011 08  164420·
 2011 07  644452.
 2011 06  404373.
 2011 05  694508·
 2011 04  134499·
 2011 03  484330·
 2011 02  664282·
 2011 01  04256.
 2010 12 774312·
 2010 11 944325·
 2010 10 194305·
 2010 09 184396.
 2010 08 94289.
 2010 07 334151.
 2010 06 614086·
 2010 05 174100.
 2010 04 334041·
 2010 03 224097·
 2010 02 804011.
 2010 01 164041.
 2009 12  14078.
 2009 11  424195.
 2009 10  904203.
 2009 09  604143·
 2009 08  874111.
 2009 07  13988·
 2009 06  283927.
 2009 05  174024.
 2009 04  933952.
 2009 03  304007.
 2009 02  573997.
 2009 01  824192·
 2008 12 434166.
 2008 11 864227·
 2008 10 664132.
 2008 09 744168.
 2008 08 884124·
 2008 07 494071·
 2008 06 664000.
 2008 05 364008.
 2008 04 34004·
 2008 03 283965·
 2008 02 963895·
 2008 01 393945·
 2007 12  894061·
 2007 11  534040·
 2007 10  194024.
 2007 09  764002·
 2007 08  703859.
 2007 07  823832.
 2007 06  223824.
 2007 05  663829.
 2007 04  993776.
 2007 03  953761·
 2007 02  193646.
 2007 01  543605·
 2006 12 493839·
 2006 11 993665.
 2006 10 473684.
 2006 09 83545·
 2006 08 213500·
 2006 07 273416·
 2006 06 703463.
 2006 05 233634.
 2006 04 413635.
 2006 03 343479·
 2006 02 743401·
 2006 01 183457.
 2005 12  583485.
 2005 11  33431·
 2005 10  743514·
 2005 09  373418.
 2005 08  493367.
 2005 07  393356·
 2005 06  73287.
 2005 05  493384.
 2005 04  143355.
 2005 03  763335·
 2005 02  353379.
 2005 01  493261.
 2004 12 783244·
 2004 11 683216·
 2004 10 483238·
 2004 09 553253·
 2004 08 923269.
 2004 07 993192·
 2004 06 563188·
 2004 05 123163·
 2004 04 303072·
 2004 03 743171·
 2004 02 03141·
 2004 01 883088·
 2003 12  943130·
 2003 11  253126·
 2003 10  403074.
 2003 09  783114.
 2003 08  93113·
 2003 07  93055.
 2003 06  663035·
 2003 05  23112·
 2003 04  253134·
 2003 03  83098.
 2003 02  913047.
 2003 01  22973·
 2002 12 172764.
 2002 11 282758.
 2002 10 512877·
 2002 09 492911·
 2002 08 862916·
 2002 07 02900·
 2002 06 102950·
 2002 05 362868·
 2002 04 572901·
 2002 03 822867.
 2002 02 562805.
 2002 01 832787·
 2001 12  812830·
 2001 11  552776.
 2001 10  22922·
 2001 09  342854.
 2001 08  332865·
 2001 07  262733·
 2001 06  852690.
 2001 05  572704.
 2001 04  142736.
 2001 03  262723·
 2001 02  692737.
 2001 01  482805.
 2000 12 482841·
 2000 11 122770.
 2000 10 412854·
 2000 09 252727.
 2000 08 862718·
 2000 07 652667·
 2000 06 152582.
 2000 05 322619·
 2000 04 52613.
 2000 03 932680.
 2000 02 282560·
 2000 01 382580.
 1999 12  32587·
 1999 11  272550.
 1999 10  432558·
 1999 09  382641·
 1999 08  62516·
 1999 07  232508·
 1999 06  482466·
 1999 05  512522·
 1999 04  662464·
 1999 03  632511.
 1999 02  552378·
 1999 01  212265·
 1998 12 562475·
 1998 11 552424·
 1998 10 42520.
 1998 09 162497·
 1998 08 792315.
 1998 07 282379·
 1998 06 562290·
 1998 05 322337·
 1998 04 582289·
 1998 03 412343.
 1998 02 02301.
 1998 01 872302·
 1997 12  442477.
 1997 11  742407.
 1997 10  482345·
 1997 09  262355·
 1997 08  132292.
 1997 07  352320.
 1997 06  382390.
 1997 05  172420·
 1997 04  662336·
 1997 03  552342·
 1997 02  342331·
 1997 01  552355.
 1996 12 272327.
 1996 11 912428·
 1996 10 232317.
 1996 09 582326·
 1996 08 462282.
 1996 07 232269·
 1996 06 172276.
 1996 05 722289.
 1996 04 02238·
 1996 03 602253·
 1996 02 562296.
 1996 01 652202·
 1995 12  892282·
 1995 11  332330·
 1995 10  12258·
 1995 09  312269.
 1995 08  382185.
 1995 07  972150.
 1995 06  412192·
 1995 05  892143·
 1995 04  972199·
 1995 03  362184·
 1995 02  892098.
 1995 01  842153·
 1994 12 432163.
 1994 11 542191.
 1994 10 822230.
 1994 09 852229·
 1994 08 742242·
 1994 07 862173.
 1994 06 832239·
 1994 05 862184·
 1994 04 172163·
 1994 03 852188·
 1994 02 812164.
 1994 01 52260.
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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: Employment Level: Nonagriculture, Private Industries Wage and Salary Workers, 65 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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