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 Series Title: Number Unemployed for 15 Weeks and over 55-64 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 701037.
 2012 03 301122.
 2012 02 21003.
 2012 01 881027·
 2011 12  17940.
 2011 11  161036.
 2011 10  181124.
 2011 09  811110.
 2011 08  491098·
 2011 07  201142.
 2011 06  531078.
 2011 05  921123·
 2011 04  171097·
 2011 03  231176·
 2011 02  221069·
 2011 01  641091.
 2010 12 951048.
 2010 11 321139.
 2010 10 601170·
 2010 09 661134·
 2010 08 851140.
 2010 07 771121·
 2010 06 321155.
 2010 05 941230·
 2010 04 111243·
 2010 03 161130·
 2010 02 261143·
 2010 01 651105.
 2009 12  251064·
 2009 11  311074·
 2009 10  53985·
 2009 09  25946.
 2009 08  0945·
 2009 07  28933·
 2009 06  52957.
 2009 05  42806.
 2009 04  39777.
 2009 03  38756·
 2009 02  87630.
 2009 01  10570·
 2008 12 66523·
 2008 11 19494.
 2008 10 44480.
 2008 09 49380·
 2008 08 31367.
 2008 07 52246.
 2008 06 36268·
 2008 05 2304·
 2008 04 11266·
 2008 03 43278·
 2008 02 3317.
 2008 01 40277·
 2007 12  5261·
 2007 11  25282.
 2007 10  5273.
 2007 09  55256·
 2007 08  38266·
 2007 07  54231.
 2007 06  32243.
 2007 05  67261.
 2007 04  62289·
 2007 03  11272·
 2007 02  97266.
 2007 01  21269·
 2006 12 51246.
 2006 11 3228.
 2006 10 36265·
 2006 09 85262.
 2006 08 7264.
 2006 07 62267·
 2006 06 14240·
 2006 05 53234.
 2006 04 53276·
 2006 03 45255.
 2006 02 17272·
 2006 01 45272.
 2005 12  42275·
 2005 11  33254.
 2005 10  59236.
 2005 09  5276·
 2005 08  47279·
 2005 07  32229.
 2005 06  78208·
 2005 05  2263·
 2005 04  70320·
 2005 03  75350·
 2005 02  37348·
 2005 01  30286.
 2004 12 36338.
 2004 11 18315.
 2004 10 23298.
 2004 09 8347.
 2004 08 95323·
 2004 07 42297.
 2004 06 49341·
 2004 05 81357.
 2004 04 23317·
 2004 03 55367·
 2004 02 53345.
 2004 01 17350·
 2003 12  20322·
 2003 11  88323.
 2003 10  99347·
 2003 09  11377·
 2003 08  12407·
 2003 07  98373.
 2003 06  74324.
 2003 05  81352.
 2003 04  48354.
 2003 03  65376·
 2003 02  91353.
 2003 01  73377.
 2002 12 4361.
 2002 11 98298·
 2002 10 87260.
 2002 09 54275·
 2002 08 82251.
 2002 07 27270.
 2002 06 26345·
 2002 05 20329.
 2002 04 5304·
 2002 03 9289·
 2002 02 96236.
 2002 01 89234·
 2001 12  24217.
 2001 11  26202.
 2001 10  9195·
 2001 09  6201·
 2001 08  16178.
 2001 07  84151.
 2001 06  4143·
 2001 05  39135·
 2001 04  79141·
 2001 03  16162.
 2001 02  43144.
 2001 01  83138.
 2000 12 40114.
 2000 11 77163.
 2000 10 14135.
 2000 09 57110.
 2000 08 50114.
 2000 07 50107·
 2000 06 3087·
 2000 05 597.
 2000 04 8295.
 2000 03 40148.
 2000 02 29138.
 2000 01 96142·
 1999 12  38119.
 1999 11  81128·
 1999 10  74111.
 1999 09  24117.
 1999 08  44123.
 1999 07  27152·
 1999 06  53133.
 1999 05  9142·
 1999 04  49124·
 1999 03  62131·
 1999 02  78127.
 1999 01  95128.
 1998 12 29120·
 1998 11 91120.
 1998 10 87106·
 1998 09 50140·
 1998 08 84135.
 1998 07 46132.
 1998 06 45155.
 1998 05 69131.
 1998 04 40103·
 1998 03 84154·
 1998 02 37151.
 1998 01 72131.
 1997 12  4799.
 1997 11  86127.
 1997 10  78130·
 1997 09  1143.
 1997 08  81151·
 1997 07  60171.
 1997 06  4157·
 1997 05  27163·
 1997 04  41180.
 1997 03  36180.
 1997 02  80146.
 1997 01  43133.
 1996 12 54136.
 1996 11 72115·
 1996 10 92169.
 1996 09 69165.
 1996 08 69176.
 1996 07 49192·
 1996 06 54200·
 1996 05 48211·
 1996 04 63195.
 1996 03 74281·
 1996 02 4206·
 1996 01 51175.
 1995 12  35131.
 1995 11  77145·
 1995 10  5157·
 1995 09  70159.
 1995 08  10171.
 1995 07  17189·
 1995 06  43151.
 1995 05  26185·
 1995 04  40223·
 1995 03  75229.
 1995 02  33187·
 1995 01  62196.
 1994 12 0174.
 1994 11 56186·
 1994 10 13212.
 1994 09 47200·
 1994 08 89222·
 1994 07 94182.
 1994 06 44200·
 1994 05 76269·
 1994 04 34269.
 1994 03 44303.
 1994 02 15258.
 1994 01 68248·
 1993 12  85261·
 1993 11  88277.
 1993 10  39289.
 1993 09  67306·
 1993 08  17255·
 1993 07  34266·
 1993 06  54274.
 1993 05  41271.
 1993 04  31312.
 1993 03  11305·
 1993 02  23312·
 1993 01  86268.
 1992 12 51285·
 1992 11 78281.
 1992 10 33294·
 1992 09 20342.
 1992 08 29337·
 1992 07 15346·
 1992 06 97332·
 1992 05 87318·
 1992 04 40336.
 1992 03 30342·
 1992 02 54280·
 1992 01 57262.
 1991 12  84224.
 1991 11  54226.
 1991 10  66211·
 1991 09  24187·
 1991 08  86207·
 1991 07  43210.
 1991 06  21248.
 1991 05  7212.
 1991 04  97215·
 1991 03  80201.
 1991 02  32193·
 1991 01  49149.
 1990 12 93128.
 1990 11 71133.
 1990 10 37127·
 1990 09 21156.
 1990 08 73108·
 1990 07 47130·
 1990 06 99112.
 1990 05 16118.
 1990 04 63144·
 1990 03 65150·
 1990 02 6147·
 1990 01 53133·
 1989 12  14119.
 1989 11  8100·
 1989 10  7098.
 1989 09  77114.
 1989 08  0109·
 1989 07  80134·
 1989 06  29142·
 1989 05  57123.
 1989 04  23118·
 1989 03  15129·
 1989 02  47139.
 1989 01  86162.
 1988 12 8124·
 1988 11 69126·
 1988 10 11106·
 1988 09 85142·
 1988 08 4136·
 1988 07 23146·
 1988 06 34124·
 1988 05 96177·
 1988 04 88168·
 1988 03 84161·
 1988 02 54182.
 1988 01 90176.
 1987 12  60130·
 1987 11  84154.
 1987 10  34167·
 1987 09  60170·
 1987 08  45160.
 1987 07  80167.
 1987 06  62156.
 1987 05  26208.
 1987 04  94214·
 1987 03  52183.
 1987 02  50152.
 1987 01  31162.
 1986 12 82169·
 1986 11 8213·
 1986 10 37214·
 1986 09 45216·
 1986 08 9207.
 1986 07 79191·
 1986 06 85191·
 1986 05 63207.
 1986 04 1218.
 1986 03 22246·
 1986 02 83250.
 1986 01 2190·
 1985 12  8185.
 1985 11  18172·
 1985 10  43199.
 1985 09  7190.
 1985 08  5210.
 1985 07  75234.
 1985 06  3248.
 1985 05  48248.
 1985 04  94244·
 1985 03  24234.
 1985 02  27200.
 1985 01  19199·
 1984 12 98222.
 1984 11 21214.
 1984 10 1252·
 1984 09 38258·
 1984 08 70217·
 1984 07 48220.
 1984 06 39266.
 1984 05 50286.
 1984 04 84305·
 1984 03 12289·
 1984 02 78286.
 1984 01 24358·
 1983 12  40283.
 1983 11  44283.
 1983 10  82281.
 1983 09  54261.
 1983 08  64310.
 1983 07  2348.
 1983 06  39388.
 1983 05  59384·
 1983 04  6444.
 1983 03  66455.
 1983 02  61396.
 1983 01  83368.
 1982 12 43321·
 1982 11 43308·
 1982 10 86281·
 1982 09 96243.
 1982 08 73265.
 1982 07 65266.
 1982 06 78284.
 1982 05 92271·
 1982 04 22300.
 1982 03 89262·
 1982 02 23221·
 1982 01 90166.
 1981 12  42142.
 1981 11  96141·
 1981 10  35131.
 1981 09  33147.
 1981 08  6153.
 1981 07  93156.
 1981 06  53143·
 1981 05  91173.
 1981 04  17192.
 1981 03  12192·
 1981 02  37211.
 1981 01  59185.
 1980 12 98124·
 1980 11 8144.
 1980 10 78122·
 1980 09 55118·
 1980 08 1125·
 1980 07 65108·
 1980 06 87133·
 1980 05 24134.
 1980 04 1156.
 1980 03 88131·
 1980 02 2140.
 1980 01 34127.
 1979 12  97100.
 1979 11  989·
 1979 10  8778.
 1979 09  8080.
 1979 08  17107.
 1979 07  84106·
 1979 06  29100.
 1979 05  81119.
 1979 04  9156·
 1979 03  97148·
 1979 02  40119.
 1979 01  81106·
 1978 12 5087·
 1978 11 52110.
 1978 10 60126·
 1978 09 49108.
 1978 08 39103.
 1978 07 81123·
 1978 06 5199.
 1978 05 79139.
 1978 04 3150·
 1978 03 42145·
 1978 02 0156.
 1978 01 91160.
 1977 12  91152.
 1977 11  16160·
 1977 10  21169·
 1977 09  29153·
 1977 08  79149·
 1977 07  10151·
 1977 06  51162·
 1977 05  61208.
 1977 04  68250.
 1977 03  54262·
 1977 02  54216.
 1977 01  82200.
 1976 12 82204·
 1976 11 7216·
 1976 10 17210.
 1976 09 11213·
 1976 08 72234·
 1976 07 49221·
 1976 06 54230.
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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: Number Unemployed for 15 Weeks and over 55-64 years: 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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