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 Series Title: Population Level: 60-64 years, White: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 5214677·
 2012 03 3114692.
 2012 02 8314706·
 2012 01 5414722·
 2011 12  1514567·
 2011 11  3914590.
 2011 10  9914612·
 2011 09  214603·
 2011 08  3214594.
 2011 07  3214585.
 2011 06  514538·
 2011 05  3714492·
 2011 04  5314446.
 2011 03  9414395.
 2011 02  1114343.
 2011 01  214291·
 2010 12 5414242.
 2010 11 2914186.
 2010 10 5714129·
 2010 09 6614071.
 2010 08 3514013.
 2010 07 7113955.
 2010 06 413910.
 2010 05 2413866.
 2010 04 2213823·
 2010 03 7513771.
 2010 02 4213720·
 2010 01 9413668·
 2009 12  6413629·
 2009 11  2313572.
 2009 10  8313515.
 2009 09  2213456.
 2009 08  3713396.
 2009 07  2213338·
 2009 06  6413288·
 2009 05  7513238.
 2009 04  4213190.
 2009 03  313144.
 2009 02  4913098.
 2009 01  4913052.
 2008 12 412990.
 2008 11 2412940.
 2008 10 2512889·
 2008 09 6212843·
 2008 08 7412797·
 2008 07 6512751·
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 2008 05 5812689·
 2008 04 2612659·
 2008 03 3412621·
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 2008 01 712547.
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 2005 01  9610884.
 2004 12 5810855·
 2004 11 6210827·
 2004 10 010799.
 2004 09 7310765·
 2004 08 4610731.
 2004 07 2010698·
 2004 06 4010665.
 2004 05 1410631·
 2004 04 7110599.
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 2004 02 2610537.
 2004 01 8610506.
 2003 12  3410484·
 2003 11  3910446.
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 2003 07  8810287.
 2003 06  1710251.
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 2003 04  110179·
 2003 03  6410135·
 2003 02  2110092.
 2003 01  6510050·
 2002 12 3010052.
 2002 11 7410023·
 2002 10 759993.
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 2002 08 499912.
 2002 07 499872.
 2002 06 409812.
 2002 05 49752.
 2002 04 829693.
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 2002 02 49632·
 2002 01 229602.
 2001 12  809580.
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 2001 10  809535·
 2001 09  569506·
 2001 08  199477.
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 2001 05  769360·
 2001 04  999335·
 2001 03  109357.
 2001 02  469355.
 2001 01  769335·
 2000 12 459321.
 2000 11 619329.
 2000 10 879310.
 2000 09 749283.
 2000 08 89259·
 2000 07 929263.
 2000 06 419226·
 2000 05 149211.
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 2000 03 109170·
 2000 02 479154.
 2000 01 679140·
 1999 12  118954·
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 1999 10  688951.
 1999 09  268916.
 1999 08  768903.
 1999 07  578912.
 1999 06  918904.
 1999 05  108902.
 1999 04  108888·
 1999 03  258869·
 1999 02  298871·
 1999 01  648836.
 1998 12 888803.
 1998 11 568826·
 1998 10 218761.
 1998 09 568740.
 1998 08 98719·
 1998 07 838690·
 1998 06 298680·
 1998 05 808667.
 1998 04 08652·
 1998 03 608631·
 1998 02 418613·
 1998 01 568603·
 1997 12  118589.
 1997 11  718578.
 1997 10  698567.
 1997 09  298557.
 1997 08  178547·
 1997 07  228537·
 1997 06  538527.
 1997 05  668516.
 1997 04  198507.
 1997 03  458505.
 1997 02  548508·
 1997 01  638508.
 1996 12 428506·
 1996 11 958505.
 1996 10 618504·
 1996 09 388505·
 1996 08 368505·
 1996 07 568506·
 1996 06 868511·
 1996 05 358516·
 1996 04 778521·
 1996 03 328526.
 1996 02 688526.
 1996 01 248533·
 1995 12  658538.
 1995 11  578545·
 1995 10  698552·
 1995 09  998560.
 1995 08  268567.
 1995 07  878575·
 1995 06  778580.
 1995 05  798586.
 1995 04  108593·
 1995 03  38598·
 1995 02  68602·
 1995 01  88607.
 1994 12 928607.
 1994 11 128610.
 1994 10 928613·
 1994 09 558616.
 1994 08 738619·
 1994 07 458622.
 1994 06 998627.
 1994 05 148632·
 1994 04 788639·
 1994 03 608655·
 1994 02 148670·
 1994 01 58686·
 1993 12  588703·
 1993 11  388719.
 1993 10  528736.
 1993 09  718753·
 1993 08  878770·
 1993 07  858788.
 1993 06  498805·
 1993 05  828823·
 1993 04  678841.
 1993 03  348859.
 1993 02  688880.
 1993 01  328898·
 1992 12 238915.
 1992 11 408932.
 1992 10 978949.
 1992 09 418966.
 1992 08 48984.
 1992 07 869002·
 1992 06 509021.
 1992 05 519041.
 1992 04 879061.
 1992 03 789073.
 1992 02 649080.
 1992 01 339093.
 1991 12  729106.
 1991 11  489117.
 1991 10  29129·
 1991 09  809138.
 1991 08  859148·
 1991 07  529158·
 1991 06  519163.
 1991 05  119169.
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 1990 11 159206·
 1990 10 629209.
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 1990 08 149212.
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 1990 02 19242.
 1990 01 429256·
 1989 12  949433.
 1989 11  229442.
 1989 10  39452·
 1989 09  599461.
 1989 08  39470·
 1989 07  229480.
 1989 06  699487.
 1989 05  09494.
 1989 04  189501.
 1989 03  539510.
 1989 02  639518·
 1989 01  609527·
 1988 12 629525.
 1988 11 719533.
 1988 10 719542·
 1988 09 579550.
 1988 08 889558.
 1988 07 599567.
 1988 06 79566·
 1988 05 379564·
 1988 04 699566·
 1988 03 229567.
 1988 02 99567·
 1988 01 679567.
 1987 12  79564·
 1987 11  939564·
 1987 10  409563.
 1987 09  439563.
 1987 08  289562.
 1987 07  289562.
 1987 06  879569·
 1987 05  829578.
 1987 04  809585.
 1987 03  99593.
 1987 02  649601.
 1987 01  319609·
 1986 12 409614.
 1986 11 429622.
 1986 10 89630.
 1986 09 579637.
 1986 08 99645.
 1986 07 599654·
 1986 06 829659·
 1986 05 549663.
 1986 04 109670.
 1986 03 179675.
 1986 02 749681·
 1986 01 439688·
 1985 12  969688.
 1985 11  979694.
 1985 10  979699.
 1985 09  669704.
 1985 08  419709.
 1985 07  69714·
 1985 06  899706·
 1985 05  949698·
 1985 04  469691·
 1985 03  769685.
 1985 02  139678·
 1985 01  199672.
 1984 12 369660.
 1984 11 629644·
 1984 10 579633·
 1984 09 639625·
 1984 08 619630.
 1984 07 489629·
 1984 06 339613·
 1984 05 679602·
 1984 04 989616·
 1984 03 399630.
 1984 02 799619.
 1984 01 39603.
 1983 12  459568·
 1983 11  689559.
 1983 10  599538·
 1983 09  639528.
 1983 08  299518·
 1983 07  909522·
 1983 06  609507·
 1983 05  679493·
 1983 04  19484·
 1983 03  879477.
 1983 02  959452.
 1983 01  609444·
 1982 12 349458·
 1982 11 679447.
 1982 10 39442·
 1982 09 109442·
 1982 08 319426·
 1982 07 609417·
 1982 06 459392.
 1982 05 119379·
 1982 04 159375.
 1982 03 249357·
 1982 02 99329·
 1982 01 829320·
 1981 12  399293.
 1981 11  399272·
 1981 10  109265.
 1981 09  689254·
 1981 08  769241.
 1981 07  149231·
 1981 06  849207·
 1981 05  399191.
 1981 04  289172·
 1981 03  789155.
 1981 02  959135·
 1981 01  879122·
 1980 12 199092.
 1980 11 899076.
 1980 10 309067.
 1980 09 329061·
 1980 08 19054·
 1980 07 299045.
 1980 06 29026·
 1980 05 189007·
 1980 04 488989·
 1980 03 58970.
 1980 02 498947.
 1980 01 158925·
 1979 12  618902·
 1979 11  468883·
 1979 10  348869·
 1979 09  168853.
 1979 08  658843.
 1979 07  128830·
 1979 06  468816·
 1979 05  418802.
 1979 04  128782.
 1979 03  828775.
 1979 02  968754.
 1979 01  348739·
 1978 12 758722·
 1978 11 658709·
 1978 10 228702·
 1978 09 648689.
 1978 08 568684.
 1978 07 908676·
 1978 06 888668.
 1978 05 258658.
 1978 04 798647·
 1978 03 168639.
 1978 02 828630·
 1978 01 368619·
 1977 12  968608.
 1977 11  248599·
 1977 10  168602.
 1977 09  418601·
 1977 08  828600·
 1977 07  198595·
 1977 06  298587·
 1977 05  108577.
 1977 04  378566.
 1977 03  358559.
 1977 02  828551·
 1977 01  368542.
 1976 12 868532·
 1976 11 278525·
 1976 10 658522.
 1976 09 408521·
 1976 08 808521.
 1976 07 788516.
 1976 06 898506·
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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: 60-64 years, White: 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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