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 Series Title: Population Level: 55-64 years, Hispanic or Latino: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 613577·
 2012 03 593563·
 2012 02 203544.
 2012 01 83526.
 2011 12  153390·
 2011 11  313375.
 2011 10  493360·
 2011 09  933346·
 2011 08  673334.
 2011 07  333316·
 2011 06  113309·
 2011 05  83296.
 2011 04  673277·
 2011 03  463261.
 2011 02  173244.
 2011 01  963227.
 2010 12 903253.
 2010 11 773236·
 2010 10 73218.
 2010 09 283203.
 2010 08 373186.
 2010 07 583170·
 2010 06 433159·
 2010 05 973146·
 2010 04 333130.
 2010 03 453118.
 2010 02 123100·
 2010 01 233084.
 2009 12  293109·
 2009 11  203092·
 2009 10  283074.
 2009 09  493056.
 2009 08  993040·
 2009 07  903024·
 2009 06  283009.
 2009 05  452991.
 2009 04  452974.
 2009 03  862959.
 2009 02  762943.
 2009 01  52929.
 2008 12 922920·
 2008 11 642904·
 2008 10 592887·
 2008 09 482877·
 2008 08 892857.
 2008 07 72846·
 2008 06 902831·
 2008 05 182819.
 2008 04 142800.
 2008 03 222790·
 2008 02 72777·
 2008 01 842765.
 2007 12  652762.
 2007 11  392749.
 2007 10  742735.
 2007 09  412721·
 2007 08  682707.
 2007 07  152686.
 2007 06  772675.
 2007 05  72662.
 2007 04  742649.
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 2006 12 582589.
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 2006 05 312497.
 2006 04 872484.
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 2005 12  82432.
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 2005 10  712407·
 2005 09  32397·
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 2005 07  432367·
 2005 06  412353.
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 2005 04  382327.
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 2005 02  632303·
 2005 01  992286.
 2004 12 742278.
 2004 11 122268.
 2004 10 252252·
 2004 09 312243·
 2004 08 152229.
 2004 07 972213·
 2004 06 392203.
 2004 05 712188.
 2004 04 382172.
 2004 03 832163·
 2004 02 452150.
 2004 01 862138.
 2003 12  422156·
 2003 11  12149.
 2003 10  42138·
 2003 09  712125·
 2003 08  532114.
 2003 07  82100.
 2003 06  52087·
 2003 05  462073.
 2003 04  212060.
 2003 03  862049.
 2003 02  602039.
 2003 01  542031.
 2002 12 232057·
 2002 11 422056·
 2002 10 72004.
 2002 09 641990.
 2002 08 571956.
 2002 07 61906·
 2002 06 101897.
 2002 05 721932·
 2002 04 501938·
 2002 03 361878.
 2002 02 561898·
 2002 01 951924·
 2001 12  521904.
 2001 11  131941.
 2001 10  571910·
 2001 09  781866.
 2001 08  381866.
 2001 07  451774.
 2001 06  531745.
 2001 05  901713·
 2001 04  91742·
 2001 03  621787.
 2001 02  51781·
 2001 01  261762.
 2000 12 901773.
 2000 11 211776.
 2000 10 31839.
 2000 09 41821.
 2000 08 311779·
 2000 07 41756·
 2000 06 571669·
 2000 05 681684.
 2000 04 81715·
 2000 03 171694.
 2000 02 71675.
 2000 01 891646·
 1999 12  221713·
 1999 11  931743.
 1999 10  161772·
 1999 09  591763·
 1999 08  971692·
 1999 07  871696.
 1999 06  701716.
 1999 05  981693.
 1999 04  841770·
 1999 03  821758.
 1999 02  841652·
 1999 01  501592·
 1998 12 591548.
 1998 11 841582.
 1998 10 951626.
 1998 09 841631·
 1998 08 211631.
 1998 07 241635.
 1998 06 651648·
 1998 05 951673·
 1998 04 971679.
 1998 03 601623·
 1998 02 831567·
 1998 01 21535·
 1997 12  361619·
 1997 11  731661.
 1997 10  631656·
 1997 09  481645·
 1997 08  151609·
 1997 07  691538.
 1997 06  401548·
 1997 05  31530.
 1997 04  321507.
 1997 03  811552·
 1997 02  791535·
 1997 01  601561·
 1996 12 151594.
 1996 11 651614.
 1996 10 681567·
 1996 09 401591.
 1996 08 121522.
 1996 07 21519.
 1996 06 181506.
 1996 05 861470.
 1996 04 11504.
 1996 03 01527·
 1996 02 691559.
 1996 01 681576.
 1995 12  801546.
 1995 11  891508·
 1995 10  831495.
 1995 09  791463.
 1995 08  751492.
 1995 07  261490.
 1995 06  481471·
 1995 05  391457·
 1995 04  371459.
 1995 03  941442.
 1995 02  761480.
 1995 01  911488·
 1994 12 421430·
 1994 11 991416·
 1994 10 61411.
 1994 09 61366·
 1994 08 881385·
 1994 07 721429·
 1994 06 11465.
 1994 05 761398·
 1994 04 31405·
 1994 03 701380·
 1994 02 481336.
 1994 01 221387·
 1993 12  361358·
 1993 11  741375·
 1993 10  611376·
 1993 09  871354·
 1993 08  631359·
 1993 07  921336·
 1993 06  771321·
 1993 05  411306.
 1993 04  841251·
 1993 03  551274·
 1993 02  591297.
 1993 01  771277.
 1992 12 241293·
 1992 11 201330·
 1992 10 951349·
 1992 09 151318.
 1992 08 341297·
 1992 07 671327.
 1992 06 981306.
 1992 05 991348·
 1992 04 891311·
 1992 03 51307.
 1992 02 61349.
 1992 01 991313.
 1991 12  901302·
 1991 11  641277.
 1991 10  811252.
 1991 09  71267·
 1991 08  621268.
 1991 07  21277·
 1991 06  121269.
 1991 05  441288·
 1991 04  561295.
 1991 03  991327·
 1991 02  121281.
 1991 01  531296·
 1990 12 461279.
 1990 11 621254·
 1990 10 181253·
 1990 09 31242·
 1990 08 331250.
 1990 07 241261.
 1990 06 931262·
 1990 05 901242.
 1990 04 431229.
 1990 03 401259.
 1990 02 261220·
 1990 01 311218·
 1989 12  261213·
 1989 11  931184·
 1989 10  281208·
 1989 09  721163·
 1989 08  581169·
 1989 07  881211·
 1989 06  381207.
 1989 05  811157·
 1989 04  381154·
 1989 03  591125·
 1989 02  201184·
 1989 01  521205.
 1988 12 921182·
 1988 11 601198.
 1988 10 601149·
 1988 09 41126·
 1988 08 711105.
 1988 07 751136·
 1988 06 711132·
 1988 05 821162·
 1988 04 501185·
 1988 03 91169.
 1988 02 921182.
 1988 01 551189.
 1987 12  291155.
 1987 11  941142·
 1987 10  861087·
 1987 09  171049.
 1987 08  341041·
 1987 07  871064.
 1987 06  391046·
 1987 05  871039.
 1987 04  151047·
 1987 03  701030·
 1987 02  661029·
 1987 01  91006.
 1986 12 471039·
 1986 11 491045.
 1986 10 41041.
 1986 09 521014.
 1986 08 311037·
 1986 07 551046·
 1986 06 161029·
 1986 05 111025.
 1986 04 93989·
 1986 03 46990·
 1986 02 901004.
 1986 01 51020·
 1985 12  821033.
 1985 11  31029·
 1985 10  381026·
 1985 09  771023·
 1985 08  741020.
 1985 07  321017·
 1985 06  01013·
 1985 05  971010.
 1985 04  701007·
 1985 03  661003·
 1985 02  361000.
 1985 01  59996.
 1984 12 95993.
 1984 11 61989·
 1984 10 36986.
 1984 09 82982.
 1984 08 98979.
 1984 07 99975.
 1984 06 13971.
 1984 05 11968.
 1984 04 57964·
 1984 03 86960.
 1984 02 3957·
 1984 01 13953.
 1983 12  70949·
 1983 11  53945.
 1983 10  71941.
 1983 09  85937.
 1983 08  64934.
 1983 07  59930.
 1983 06  3926.
 1983 05  44922·
 1983 04  89918·
 1983 03  83914.
 1983 02  14910.
 1983 01  35906.
 1982 12 19902.
 1982 11 33898·
 1982 10 40894·
 1982 09 28890·
 1982 08 57886.
 1982 07 41882.
 1982 06 45878.
 1982 05 15875·
 1982 04 26871·
 1982 03 62867·
 1982 02 16862.
 1982 01 16858.
 1981 12  78854.
 1981 11  80850.
 1981 10  67846.
 1981 09  76842·
 1981 08  87838·
 1981 07  0834.
 1981 06  35830·
 1981 05  64826·
 1981 04  55822.
 1981 03  54818·
 1981 02  84814.
 1981 01  73809·
 1980 12 6805.
 1980 11 98801.
 1980 10 0797.
 1980 09 23792·
 1980 08 91788·
 1980 07 15784·
 1980 06 98780·
 1980 05 59775.
 1980 04 85771·
 1980 03 11767·
 1980 02 14764.
 1980 01 48760.
 1979 12  89685.
 1979 11  17696·
 1979 10  12717·
 1979 09  85688·
 1979 08  28692.
 1979 07  91668·
 1979 06  80659.
 1979 05  90634·
 1979 04  53629·
 1979 03  13623.
 1979 02  30615.
 1979 01  7605·
 1978 12 39625.
 1978 11 91602.
 1978 10 1635·
 1978 09 4650·
 1978 08 85637·
 1978 07 56664.
 1978 06 55634·
 1978 05 76644.
 1978 04 19635.
 1978 03 65615·
 1978 02 80595·
 1978 01 42595·
 1977 12  89588·
 1977 11  99617.
 1977 10  90627.
 1977 09  46618.
 1977 08  72613·
 1977 07  65602.
 1977 06  21588.
 1977 05  58565·
 1977 04  68557·
 1977 03  95543·
 1977 02  37572·
 1977 01  70559·
 1976 12 1571.
 1976 11 46584·
 1976 10 26599.
 1976 09 4593.
 1976 08 24623.
 1976 07 98594.
 1976 06 1580.
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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: 55-64 years, Hispanic or Latino: 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

Want state personal income and/or population data?

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