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 Series Title: Employment Level: Nonagriculture, Private Industries Wage and Salary Workers, 65 years and over, Women: NSA
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 2012 04 162226·
 2012 03 752166·
 2012 02 802169·
 2012 01 202091·
 2011 12  122073.
 2011 11  702078·
 2011 10  132080.
 2011 09  902000·
 2011 08  301945·
 2011 07  191998·
 2011 06  31942.
 2011 05  142071.
 2011 04  202101·
 2011 03  41995·
 2011 02  631959.
 2011 01  371928·
 2010 12 601936·
 2010 11 331995·
 2010 10 322042·
 2010 09 292053.
 2010 08 472013·
 2010 07 361952·
 2010 06 711862·
 2010 05 831842.
 2010 04 101898.
 2010 03 701879.
 2010 02 681902·
 2010 01 181935·
 2009 12  961948.
 2009 11  181897·
 2009 10  381937·
 2009 09  791934·
 2009 08  831924.
 2009 07  841857.
 2009 06  171836·
 2009 05  351878.
 2009 04  701835·
 2009 03  31850.
 2009 02  681866.
 2009 01  791967·
 2008 12 821943.
 2008 11 281954·
 2008 10 791879.
 2008 09 321929.
 2008 08 711909.
 2008 07 441863.
 2008 06 641823·
 2008 05 371875.
 2008 04 111879·
 2008 03 551873.
 2008 02 601867.
 2008 01 631837.
 2007 12  31878·
 2007 11  951865·
 2007 10  301853.
 2007 09  51807.
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 2007 06  611731.
 2007 05  811756.
 2007 04  701789.
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 2007 02  681767.
 2007 01  361691.
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 2006 11 711674.
 2006 10 861650.
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 2006 06 811561.
 2006 05 841640·
 2006 04 61657.
 2006 03 651605.
 2006 02 391548.
 2006 01 901609·
 2005 12  171625.
 2005 11  351603.
 2005 10  731667·
 2005 09  11614·
 2005 08  841591.
 2005 07  551550·
 2005 06  211552·
 2005 05  871628·
 2005 04  51576·
 2005 03  561584·
 2005 02  471591·
 2005 01  411498·
 2004 12 61492·
 2004 11 941488.
 2004 10 371514·
 2004 09 831527.
 2004 08 391542.
 2004 07 511554.
 2004 06 61559·
 2004 05 571590.
 2004 04 771538·
 2004 03 341562.
 2004 02 901506·
 2004 01 321407.
 2003 12  231452.
 2003 11  741416.
 2003 10  521421.
 2003 09  21419·
 2003 08  01420·
 2003 07  291379·
 2003 06  821374.
 2003 05  871460.
 2003 04  591451.
 2003 03  791420·
 2003 02  901380.
 2003 01  291351.
 2002 12 771275.
 2002 11 321263.
 2002 10 161329·
 2002 09 01324·
 2002 08 521305.
 2002 07 181288.
 2002 06 221298·
 2002 05 921258.
 2002 04 111289.
 2002 03 961232·
 2002 02 971247·
 2002 01 251232·
 2001 12  41245.
 2001 11  451252.
 2001 10  521304.
 2001 09  431273·
 2001 08  61266·
 2001 07  741216.
 2001 06  261195.
 2001 05  151204·
 2001 04  181212·
 2001 03  131231·
 2001 02  821217·
 2001 01  351242·
 2000 12 651292·
 2000 11 191275·
 2000 10 71296.
 2000 09 231239·
 2000 08 971161·
 2000 07 741183·
 2000 06 161138.
 2000 05 221167.
 2000 04 901237.
 2000 03 851236.
 2000 02 441162·
 2000 01 21169·
 1999 12  451172·
 1999 11  831127.
 1999 10  561115.
 1999 09  571150·
 1999 08  861118.
 1999 07  251094.
 1999 06  391058.
 1999 05  61135.
 1999 04  641096.
 1999 03  921154·
 1999 02  61082·
 1999 01  931017·
 1998 12 551108·
 1998 11 911088.
 1998 10 951106.
 1998 09 871048.
 1998 08 581011·
 1998 07 541037.
 1998 06 701046·
 1998 05 831102·
 1998 04 01032·
 1998 03 371102·
 1998 02 161044.
 1998 01 991043·
 1997 12  301106·
 1997 11  221054.
 1997 10  49972·
 1997 09  801007.
 1997 08  25973.
 1997 07  161016.
 1997 06  51060.
 1997 05  941088·
 1997 04  831047.
 1997 03  501049·
 1997 02  481067.
 1997 01  371052.
 1996 12 321051.
 1996 11 811077·
 1996 10 651025·
 1996 09 26992·
 1996 08 21997.
 1996 07 901003·
 1996 06 691007.
 1996 05 71008·
 1996 04 251014·
 1996 03 851003.
 1996 02 981032.
 1996 01 49963.
 1995 12  451011.
 1995 11  961058·
 1995 10  161062.
 1995 09  451079.
 1995 08  61065·
 1995 07  811030·
 1995 06  91019·
 1995 05  141020.
 1995 04  601012·
 1995 03  21993.
 1995 02  91932·
 1995 01  1958·
 1994 12 80975.
 1994 11 231040.
 1994 10 01057·
 1994 09 761080.
 1994 08 681097·
 1994 07 181057.
 1994 06 981103·
 1994 05 311047.
 1994 04 48989·
 1994 03 641023·
 1994 02 741003·
 1994 01 871063·
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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, Women: 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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