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 Series Title: Population Level: 65-69 years, White Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 1976 06 374101.
 1976 07 954107·
 1976 08 644112·
 1976 09 214117·
 1976 10 694125.
 1976 11 114134.
 1976 12 534154.
 1977 01  314161.
 1977 02  624166·
 1977 03  194171·
 1977 04  374179·
 1977 05  334188.
 1977 06  654194.
 1977 07  14200·
 1977 08  284203.
 1977 09  724206.
 1977 10  544213·
 1977 11  644217.
 1977 12  654224·
 1978 01 174230.
 1978 02 294233.
 1978 03 394236·
 1978 04 104241.
 1978 05 614248·
 1978 06 164253.
 1978 07 834257.
 1978 08 514258·
 1978 09 244260.
 1978 10 654265·
 1978 11 774271·
 1978 12 24279.
 1979 01  514283.
 1979 02  514284.
 1979 03  284288·
 1979 04  994293.
 1979 05  94300·
 1979 06  764303·
 1979 07  674306·
 1979 08  64305.
 1979 09  944306·
 1979 10  634309·
 1979 11  524315·
 1979 12  124321.
 1980 01 254324.
 1980 02 644324·
 1980 03 654326.
 1980 04 274328.
 1980 05 454331.
 1980 06 544333·
 1980 07 104333·
 1980 08 924334·
 1980 09 244335.
 1980 10 334340·
 1980 11 214346·
 1980 12 674352.
 1981 01  564359·
 1981 02  284356.
 1981 03  544356·
 1981 04  434361·
 1981 05  604372.
 1981 06  874373.
 1981 07  914372.
 1981 08  304373.
 1981 09  814369.
 1981 10  874374.
 1981 11  374381·
 1981 12  674393.
 1982 01 864399·
 1982 02 284402.
 1982 03 264408·
 1982 04 184411.
 1982 05 724410·
 1982 06 354415·
 1982 07 134410.
 1982 08 694407.
 1982 09 564403.
 1982 10 594401·
 1982 11 804405·
 1982 12 354417.
 1983 01  824414.
 1983 02  754415.
 1983 03  334413·
 1983 04  524409.
 1983 05  214420·
 1983 06  834422·
 1983 07  54433.
 1983 08  834436.
 1983 09  664434·
 1983 10  104438·
 1983 11  534439.
 1983 12  174442·
 1984 01 364451.
 1984 02 44455.
 1984 03 574460.
 1984 04 664473·
 1984 05 754473.
 1984 06 434467.
 1984 07 244476.
 1984 08 694484.
 1984 09 534493·
 1984 10 254498·
 1984 11 864487.
 1984 12 884489.
 1985 01  644555·
 1985 02  774559·
 1985 03  04563.
 1985 04  114567·
 1985 05  264571.
 1985 06  494576·
 1985 07  474581.
 1985 08  504589.
 1985 09  844597·
 1985 10  164605·
 1985 11  334612.
 1985 12  454620·
 1986 01 84603·
 1986 02 794611·
 1986 03 924618·
 1986 04 574626.
 1986 05 904633·
 1986 06 634641·
 1986 07 784649·
 1986 08 754657·
 1986 09 514664.
 1986 10 184672.
 1986 11 744679·
 1986 12 114687·
 1987 01  344693.
 1987 02  204700.
 1987 03  874708.
 1987 04  44715·
 1987 05  94722·
 1987 06  694729·
 1987 07  484737·
 1987 08  164740.
 1987 09  704743.
 1987 10  914745·
 1987 11  144748.
 1987 12  354751.
 1988 01 364753.
 1988 02 354755.
 1988 03 654758.
 1988 04 744759.
 1988 05 514761.
 1988 06 784764·
 1988 07 104767.
 1988 08 714773.
 1988 09 844778.
 1988 10 204784.
 1988 11 804790·
 1988 12 894796.
 1989 01  294803·
 1989 02  864809.
 1989 03  314814·
 1989 04  164819·
 1989 05  64825·
 1989 06  274831·
 1989 07  444838·
 1989 08  644842·
 1989 09  584846·
 1989 10  174850·
 1989 11  284855.
 1989 12  724859.
 1990 01 554809·
 1990 02 584817·
 1990 03 124821·
 1990 04 24825.
 1990 05 914826·
 1990 06 754827·
 1990 07 554828.
 1990 08 424827·
 1990 09 854826·
 1990 10 174825.
 1990 11 364822.
 1990 12 64819.
 1991 01  814816·
 1991 02  614811.
 1991 03  644807.
 1991 04  314803.
 1991 05  494798.
 1991 06  74794·
 1991 07  704790.
 1991 08  794785.
 1991 09  824780.
 1991 10  814775·
 1991 11  104770.
 1991 12  404765·
 1992 01 04760.
 1992 02 314755·
 1992 03 664751·
 1992 04 254746·
 1992 05 464745.
 1992 06 354745·
 1992 07 454745.
 1992 08 734745.
 1992 09 904746·
 1992 10 934746.
 1992 11 784747·
 1992 12 464747.
 1993 01  264748·
 1993 02  294745·
 1993 03  224746.
 1993 04  334743·
 1993 05  744740.
 1993 06  954738·
 1993 07  594736·
 1993 08  464733·
 1993 09  774730·
 1993 10  654727.
 1993 11  954722.
 1993 12  234719·
 1994 01 44714·
 1994 02 404710.
 1994 03 624703·
 1994 04 284699.
 1994 05 504693.
 1994 06 464687.
 1994 07 164681.
 1994 08 474675·
 1994 09 334669·
 1994 10 324663·
 1994 11 404657·
 1994 12 944651.
 1995 01  984652·
 1995 02  744647.
 1995 03  394642.
 1995 04  74636.
 1995 05  154633·
 1995 06  744630.
 1995 07  464627.
 1995 08  494625·
 1995 09  764623·
 1995 10  554621.
 1995 11  174618.
 1995 12  74615·
 1996 01 24615·
 1996 02 684609.
 1996 03 344604·
 1996 04 954599·
 1996 05 364595.
 1996 06 894590·
 1996 07 34586.
 1996 08 494580·
 1996 09 484574.
 1996 10 184568·
 1996 11 564561.
 1996 12 354554·
 1997 01  324542.
 1997 02  814533·
 1997 03  504528.
 1997 04  384521.
 1997 05  64510·
 1997 06  284500·
 1997 07  664489·
 1997 08  724480.
 1997 09  154470.
 1997 10  344461.
 1997 11  114451·
 1997 12  754442·
 1998 01 294429·
 1998 02 04424·
 1998 03 164413.
 1998 04 104390.
 1998 05 414383.
 1998 06 514367·
 1998 07 394374·
 1998 08 644359.
 1998 09 704356·
 1998 10 374347.
 1998 11 614348.
 1998 12 514328·
 1999 01  604330.
 1999 02  344289.
 1999 03  884311·
 1999 04  94310·
 1999 05  824285·
 1999 06  434300·
 1999 07  524297.
 1999 08  994312·
 1999 09  284290·
 1999 10  884274.
 1999 11  104293.
 1999 12  114247·
 2000 01 184362.
 2000 02 204372.
 2000 03 444370.
 2000 04 584363.
 2000 05 974357.
 2000 06 144362.
 2000 07 594360·
 2000 08 764360.
 2000 09 324331.
 2000 10 724329·
 2000 11 884324·
 2000 12 294334·
 2001 01  194340.
 2001 02  174335.
 2001 03  884348.
 2001 04  44356·
 2001 05  774346.
 2001 06  24348·
 2001 07  394339.
 2001 08  164340.
 2001 09  494342.
 2001 10  04343·
 2001 11  504341·
 2001 12  14348.
 2002 01 54338.
 2002 02 124337·
 2002 03 504332.
 2002 04 224329·
 2002 05 394331.
 2002 06 654334.
 2002 07 974336.
 2002 08 684341·
 2002 09 704346.
 2002 10 74350·
 2002 11 734351·
 2002 12 514352.
 2003 01  424342·
 2003 02  154349·
 2003 03  844337.
 2003 04  104348·
 2003 05  254359.
 2003 06  894361.
 2003 07  624376.
 2003 08  64393·
 2003 09  124400.
 2003 10  554399·
 2003 11  644413.
 2003 12  284413·
 2004 01 234425.
 2004 02 624428·
 2004 03 704431.
 2004 04 894435.
 2004 05 24441·
 2004 06 864459.
 2004 07 884457·
 2004 08 274456.
 2004 09 184454·
 2004 10 284457·
 2004 11 504481.
 2004 12 44496·
 2005 01  644489.
 2005 02  134486.
 2005 03  124497·
 2005 04  84503.
 2005 05  614503·
 2005 06  914521.
 2005 07  554524.
 2005 08  544526.
 2005 09  534548.
 2005 10  374546·
 2005 11  864556·
 2005 12  774562·
 2006 01 84574·
 2006 02 534587.
 2006 03 384604.
 2006 04 414601.
 2006 05 204586·
 2006 06 634601.
 2006 07 664613.
 2006 08 354622·
 2006 09 94630.
 2006 10 184632·
 2006 11 534644.
 2006 12 704664·
 2007 01  204706·
 2007 02  934709.
 2007 03  44723·
 2007 04  854736·
 2007 05  204758.
 2007 06  894780.
 2007 07  524794·
 2007 08  434817.
 2007 09  44825.
 2007 10  314845.
 2007 11  534878.
 2007 12  324914·
 2008 01 924948·
 2008 02 694952.
 2008 03 884976.
 2008 04 644987.
 2008 05 275012.
 2008 06 805035.
 2008 07 665061.
 2008 08 775090·
 2008 09 795111·
 2008 10 625126·
 2008 11 165130·
 2008 12 355145.
 2009 01  425172.
 2009 02  425209.
 2009 03  965235·
 2009 04  255232.
 2009 05  355238.
 2009 06  705237·
 2009 07  875267.
 2009 08  605287.
 2009 09  15298.
 2009 10  215308.
 2009 11  975327·
 2009 12  775348.
 2010 01 115371·
 2010 02 965378·
 2010 03 565382.
 2010 04 415387.
 2010 05 595405·
 2010 06 205409.
 2010 07 215410·
 2010 08 385435·
 2010 09 625451·
 2010 10 445453·
 2010 11 745478.
 2010 12 825481.
 2011 01  675482.
 2011 02  435488.
 2011 03  225503·
 2011 04  115510.
 2011 05  415527.
 2011 06  175535·
 2011 07  965546.
 2011 08  875595·
 2011 09  795623.
 2011 10  925641.
 2011 11  525699.
 2011 12  985740.
 2012 01 05909·


 2012 02 175957·
 2012 03 746007·
 2012 04 576039.
 2012 05 486059·
 2012 06 706100.
 2012 07 666141.
 2012 08 36152.
 2012 09 926187.
 2012 10 496201.
 2012 11 616214.
 2012 12 976258·
 2013 01  276272·
 2013 02  806291.
 2013 03  166324.
 2013 04  286336·
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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: Population Level: 65-69 years, White 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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