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 Series Title: Employment Level: Nonagriculture, Private Industries Wage and Salary Workers, 65 years and over, Men: NSA
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 2012 04 172661.
 2012 03 892698.
 2012 02 902706.
 2012 01 702639·
 2011 12  92639.
 2011 11  832610·
 2011 10  752595·
 2011 09  952565·
 2011 08  352475·
 2011 07  442454·
 2011 06  302431·
 2011 05  882437·
 2011 04  472398.
 2011 03  542335·
 2011 02  682323.
 2011 01  922328.
 2010 12 202376·
 2010 11 202331.
 2010 10 262263·
 2010 09 762343·
 2010 08 552276.
 2010 07 722199·
 2010 06 682224.
 2010 05 362258·
 2010 04 752143.
 2010 03 682218.
 2010 02 812110·
 2010 01 902106.
 2009 12  332130.
 2009 11  902298.
 2009 10  782266.
 2009 09  812209·
 2009 08  42188.
 2009 07  442130·
 2009 06  972091.
 2009 05  802147.
 2009 04  872117·
 2009 03  612157·
 2009 02  02131·
 2009 01  802225·
 2008 12 82222·
 2008 11 992274·
 2008 10 772253·
 2008 09 12239·
 2008 08 182215.
 2008 07 392208·
 2008 06 392178.
 2008 05 872133.
 2008 04 922125·
 2008 03 882091.
 2008 02 252029.
 2008 01 62108.
 2007 12  312183·
 2007 11  762175.
 2007 10  972171.
 2007 09  532195·
 2007 08  592120.
 2007 07  622084.
 2007 06  442093·
 2007 05  482074·
 2007 04  271987·
 2007 03  261960.
 2007 02  781879·
 2007 01  331914·
 2006 12 112023·
 2006 11 751991.
 2006 10 372034.
 2006 09 791962·
 2006 08 111987.
 2006 07 421866.
 2006 06 841902.
 2006 05 801994.
 2006 04 521978.
 2006 03 811874·
 2006 02 71852.
 2006 01 541848.
 2005 12  851860.
 2005 11  761828·
 2005 10  181847.
 2005 09  461804·
 2005 08  851776.
 2005 07  321806.
 2005 06  571735.
 2005 05  251757.
 2005 04  521779·
 2005 03  821750·
 2005 02  851787·
 2005 01  851762.
 2004 12 131752.
 2004 11 821727·
 2004 10 901724·
 2004 09 451726·
 2004 08 171727·
 2004 07 141638.
 2004 06 861629.
 2004 05 501573.
 2004 04 391535.
 2004 03 841609.
 2004 02 101635.
 2004 01 681681·
 2003 12  801678·
 2003 11  241709·
 2003 10  251653.
 2003 09  941695·
 2003 08  661693·
 2003 07  901676.
 2003 06  201661.
 2003 05  461652·
 2003 04  471683·
 2003 03  651678.
 2003 02  61667.
 2003 01  701622·
 2002 12 981489·
 2002 11 541495.
 2002 10 221548.
 2002 09 331587.
 2002 08 201611·
 2002 07 901612·
 2002 06 311652·
 2002 05 311610·
 2002 04 381613·
 2002 03 301635·
 2002 02 201558·
 2002 01 821555.
 2001 12  21584·
 2001 11  541524.
 2001 10  31619.
 2001 09  311581·
 2001 08  881599.
 2001 07  691517·
 2001 06  171495·
 2001 05  461501.
 2001 04  961524·
 2001 03  81492·
 2001 02  251520.
 2001 01  221564·
 2000 12 521549·
 2000 11 261494.
 2000 10 161559·
 2000 09 781488.
 2000 08 51556.
 2000 07 61484·
 2000 06 21445.
 2000 05 581451·
 2000 04 321376·
 2000 03 531444·
 2000 02 201398·
 2000 01 311411·
 1999 12  331415·
 1999 11  01423.
 1999 10  351443·
 1999 09  911491·
 1999 08  331397.
 1999 07  41414.
 1999 06  331408.
 1999 05  581388.
 1999 04  831367·
 1999 03  451357·
 1999 02  271296·
 1999 01  761248·
 1998 12 571367·
 1998 11 321336·
 1998 10 571414.
 1998 09 131449·
 1998 08 571304·
 1998 07 941342.
 1998 06 831244.
 1998 05 651235·
 1998 04 71256·
 1998 03 891241·
 1998 02 951257·
 1998 01 491258.
 1997 12  591372.
 1997 11  981353.
 1997 10  51373.
 1997 09  101348·
 1997 08  871318.
 1997 07  291304.
 1997 06  521330·
 1997 05  181333·
 1997 04  921288.
 1997 03  121294.
 1997 02  971264·
 1997 01  661302·
 1996 12 991276·
 1996 11 51351.
 1996 10 291292.
 1996 09 741334.
 1996 08 591285·
 1996 07 891266.
 1996 06 601269·
 1996 05 861282·
 1996 04 471224·
 1996 03 711250.
 1996 02 301264.
 1996 01 701239.
 1995 12  641271·
 1995 11  821272·
 1995 10  01195.
 1995 09  221190.
 1995 08  341121.
 1995 07  791119.
 1995 06  581173·
 1995 05  601122·
 1995 04  81187·
 1995 03  431190·
 1995 02  171167.
 1995 01  281196.
 1994 12 631189.
 1994 11 821151·
 1994 10 161173.
 1994 09 951149·
 1994 08 971144·
 1994 07 261116.
 1994 06 171136·
 1994 05 561137.
 1994 04 361174.
 1994 03 341165·
 1994 02 81161.
 1994 01 301197·
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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, Men: 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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