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 Series Title: Employment Level: Nonagriculture, Private Industries Wage and Salary Workers, 55-64 years, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 868718·
 2012 03 708676·
 2012 02 178632·
 2012 01 258484.
 2011 12  138345·
 2011 11  48408·
 2011 10  238379·
 2011 09  248511·
 2011 08  438329.
 2011 07  738245.
 2011 06  668157·
 2011 05  598131.
 2011 04  288130.
 2011 03  608032.
 2011 02  617953.
 2011 01  757927.
 2010 12 427997.
 2010 11 728028·
 2010 10 457911.
 2010 09 408053·
 2010 08 868014.
 2010 07 398011.
 2010 06 817991·
 2010 05 497866.
 2010 04 867890·
 2010 03 197751·
 2010 02 577589·
 2010 01 207612·
 2009 12  927616·
 2009 11  937661·
 2009 10  857711.
 2009 09  987776.
 2009 08  787626·
 2009 07  687679·
 2009 06  57565.
 2009 05  527683·
 2009 04  467647.
 2009 03  757635·
 2009 02  787802·
 2009 01  777769.
 2008 12 227755·
 2008 11 717810.
 2008 10 937894·
 2008 09 917757.
 2008 08 547730.
 2008 07 387738.
 2008 06 627648.
 2008 05 387634·
 2008 04 197624·
 2008 03 837668.
 2008 02 247634·
 2008 01 877647·
 2007 12  187584·
 2007 11  367657.
 2007 10  407520·
 2007 09  347457.
 2007 08  757411·
 2007 07  557440.
 2007 06  07445.
 2007 05  967351.
 2007 04  417397·
 2007 03  227300·
 2007 02  167225.
 2007 01  187131·
 2006 12 917241.
 2006 11 427254·
 2006 10 267201·
 2006 09 707251·
 2006 08 267067·
 2006 07 487061·
 2006 06 927122.
 2006 05 447121·
 2006 04 717096.
 2006 03 967059·
 2006 02 37036·
 2006 01 616859·
 2005 12  766845.
 2005 11  686888.
 2005 10  726851·
 2005 09  656805·
 2005 08  186971.
 2005 07  716793·
 2005 06  366992·
 2005 05  246871·
 2005 04  956795·
 2005 03  356741.
 2005 02  586571·
 2005 01  336381.
 2004 12 346411.
 2004 11 196422.
 2004 10 276402·
 2004 09 116392·
 2004 08 866394·
 2004 07 26244·
 2004 06 556230·
 2004 05 36261.
 2004 04 246328.
 2004 03 936445.
 2004 02 806306.
 2004 01 766220·
 2003 12  516259.
 2003 11  236255·
 2003 10  646223·
 2003 09  266203·
 2003 08  916072·
 2003 07  485994.
 2003 06  975914.
 2003 05  715957·
 2003 04  945925·
 2003 03  505979·
 2003 02  906001·
 2003 01  575977·
 2002 12 366094.
 2002 11 356123.
 2002 10 816155·
 2002 09 516110·
 2002 08 186008.
 2002 07 365898.
 2002 06 355814·
 2002 05 475746.
 2002 04 655790.
 2002 03 95817.
 2002 02 375748·
 2002 01 665703.
 2001 12  265706.
 2001 11  355632.
 2001 10  25562·
 2001 09  525561·
 2001 08  795561·
 2001 07  225531·
 2001 06  675630.
 2001 05  725574.
 2001 04  225474·
 2001 03  05414·
 2001 02  955281.
 2001 01  225295·
 2000 12 815271·
 2000 11 275288.
 2000 10 735336.
 2000 09 215340·
 2000 08 85459·
 2000 07 845307.
 2000 06 165274·
 2000 05 135275·
 2000 04 765260·
 2000 03 775218.
 2000 02 605275·
 2000 01 665225·
 1999 12  875114.
 1999 11  395102·
 1999 10  695072·
 1999 09  765057.
 1999 08  665079.
 1999 07  265009·
 1999 06  304959·
 1999 05  614981.
 1999 04  635024·
 1999 03  205011.
 1999 02  574999.
 1999 01  654905·
 1998 12 534884·
 1998 11 274996·
 1998 10 874999.
 1998 09 584961.
 1998 08 384953.
 1998 07 794874·
 1998 06 834835·
 1998 05 334818·
 1998 04 434683.
 1998 03 334729.
 1998 02 334701.
 1998 01 104624·
 1997 12  174656·
 1997 11  694742·
 1997 10  504683·
 1997 09  334606.
 1997 08  364713.
 1997 07  964626.
 1997 06  724655.
 1997 05  724676.
 1997 04  14566·
 1997 03  444544.
 1997 02  624505·
 1997 01  194447·
 1996 12 374446·
 1996 11 714443.
 1996 10 74526.
 1996 09 954519.
 1996 08 954595.
 1996 07 574497·
 1996 06 204579.
 1996 05 434454.
 1996 04 494437.
 1996 03 94404·
 1996 02 414333·
 1996 01 334377.
 1995 12  04369.
 1995 11  604362·
 1995 10  304420·
 1995 09  584314·
 1995 08  754257.
 1995 07  654287.
 1995 06  764200·
 1995 05  394209·
 1995 04  224156.
 1995 03  74168·
 1995 02  934204·
 1995 01  184261·
 1994 12 174328·
 1994 11 924260.
 1994 10 174254.
 1994 09 664142.
 1994 08 614119·
 1994 07 514106.
 1994 06 124102·
 1994 05 763971.
 1994 04 803931·
 1994 03 423957.
 1994 02 663978·
 1994 01 684080.
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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, 55-64 years, 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

Make charts for Okun's Law and Phillip's Curve

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