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 Series Title: Employment Level: Nonagriculture, Private Industries Wage and Salary Workers, 55-64 years, Women: NSA
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 2012 04 387768.
 2012 03 927699.
 2012 02 217641.
 2012 01 277544.
 2011 12  387486·
 2011 11  827507.
 2011 10  907518.
 2011 09  237606.
 2011 08  237484·
 2011 07  897392·
 2011 06  797416·
 2011 05  367395.
 2011 04  447308·
 2011 03  957325.
 2011 02  07294·
 2011 01  127267.
 2010 12 757308·
 2010 11 67213.
 2010 10 927132.
 2010 09 177232·
 2010 08 187233·
 2010 07 557262.
 2010 06 177148·
 2010 05 487118.
 2010 04 977130·
 2010 03 977072.
 2010 02 636958·
 2010 01 237056·
 2009 12  646987·
 2009 11  156984·
 2009 10  446959.
 2009 09  856894.
 2009 08  936784·
 2009 07  156824.
 2009 06  966754·
 2009 05  56802.
 2009 04  856891·
 2009 03  286899·
 2009 02  846939.
 2009 01  776960·
 2008 12 656976.
 2008 11 126924.
 2008 10 946956·
 2008 09 196879·
 2008 08 836764.
 2008 07 486725·
 2008 06 406639.
 2008 05 756660·
 2008 04 166723.
 2008 03 436795·
 2008 02 596859·
 2008 01 166746·
 2007 12  636647·
 2007 11  286549.
 2007 10  156524.
 2007 09  346599·
 2007 08  506537.
 2007 07  596623·
 2007 06  956519.
 2007 05  496492·
 2007 04  266432·
 2007 03  206461.
 2007 02  136439.
 2007 01  66302·
 2006 12 696297·
 2006 11 156369.
 2006 10 56347·
 2006 09 736282.
 2006 08 776302·
 2006 07 776340·
 2006 06 366279.
 2006 05 456193·
 2006 04 776261·
 2006 03 636215·
 2006 02 926144·
 2006 01 406100·
 2005 12  196155.
 2005 11  546023.
 2005 10  885991·
 2005 09  35884.
 2005 08  775822·
 2005 07  575783·
 2005 06  605723·
 2005 05  35724.
 2005 04  535762.
 2005 03  35683.
 2005 02  715699·
 2005 01  345674.
 2004 12 725760·
 2004 11 495698.
 2004 10 105604·
 2004 09 165633·
 2004 08 855534.
 2004 07 765446.
 2004 06 905388·
 2004 05 915461·
 2004 04 665495·
 2004 03 925566·
 2004 02 475558·
 2004 01 315443.
 2003 12  165511.
 2003 11  285463·
 2003 10  465446.
 2003 09  275375·
 2003 08  605288·
 2003 07  415301·
 2003 06  745319.
 2003 05  15335·
 2003 04  505296.
 2003 03  125439·
 2003 02  445352.
 2003 01  965312.
 2002 12 595247.
 2002 11 475200.
 2002 10 945156·
 2002 09 805058.
 2002 08 904935·
 2002 07 794883.
 2002 06 864896.
 2002 05 494956.
 2002 04 664939·
 2002 03 654996·
 2002 02 94930·
 2002 01 214895·
 2001 12  394810·
 2001 11  854706.
 2001 10  754688·
 2001 09  414603·
 2001 08  834522.
 2001 07  464529·
 2001 06  234538·
 2001 05  774609.
 2001 04  04529.
 2001 03  814621.
 2001 02  154537.
 2001 01  254515.
 2000 12 144567·
 2000 11 454371·
 2000 10 394397.
 2000 09 24397·
 2000 08 764408.
 2000 07 214438·
 2000 06 84442·
 2000 05 534357·
 2000 04 624367·
 2000 03 154382.
 2000 02 604400·
 2000 01 474320·
 1999 12  724300·
 1999 11  584245.
 1999 10  594334·
 1999 09  784261·
 1999 08  304253.
 1999 07  84240·
 1999 06  904095·
 1999 05  674128.
 1999 04  884167.
 1999 03  454145·
 1999 02  694115.
 1999 01  554130.
 1998 12 214174·
 1998 11 784156·
 1998 10 314147·
 1998 09 144081.
 1998 08 303970.
 1998 07 363850.
 1998 06 423860.
 1998 05 363927·
 1998 04 394045.
 1998 03 774154·
 1998 02 874092.
 1998 01 414028.
 1997 12  994069·
 1997 11  833945·
 1997 10  813963.
 1997 09  743852·
 1997 08  863800·
 1997 07  593635.
 1997 06  613627.
 1997 05  33691.
 1997 04  993783.
 1997 03  393875.
 1997 02  893773.
 1997 01  223711.
 1996 12 653714.
 1996 11 783654.
 1996 10 553692.
 1996 09 513676.
 1996 08 343599.
 1996 07 583591·
 1996 06 703496·
 1996 05 343504·
 1996 04 803512·
 1996 03 863588·
 1996 02 733587.
 1996 01 393581.
 1995 12  53539·
 1995 11  933597.
 1995 10  273560.
 1995 09  623566·
 1995 08  343532·
 1995 07  363529·
 1995 06  193494.
 1995 05  213503.
 1995 04  173516·
 1995 03  963521.
 1995 02  623582·
 1995 01  603493.
 1994 12 303527.
 1994 11 813574.
 1994 10 943548.
 1994 09 483484.
 1994 08 733428.
 1994 07 223339.
 1994 06 793403·
 1994 05 803474.
 1994 04 713412.
 1994 03 753332.
 1994 02 33311·
 1994 01 753238.
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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, 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

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