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 Series Title: Population Level: 60-64 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 801550.
 2012 03 721480.
 2012 02 561481·
 2012 01 411447.
 2011 12  611420.
 2011 11  511431.
 2011 10  471479.
 2011 09  171504.
 2011 08  91457·
 2011 07  281540·
 2011 06  391507·
 2011 05  921507·
 2011 04  741504.
 2011 03  861437.
 2011 02  451440.
 2011 01  91344·
 2010 12 301315·
 2010 11 301310.
 2010 10 21392.
 2010 09 381378.
 2010 08 791370.
 2010 07 931338·
 2010 06 751335.
 2010 05 741377.
 2010 04 471325·
 2010 03 311314·
 2010 02 491295.
 2010 01 341276.
 2009 12  821274·
 2009 11  251266.
 2009 10  391287.
 2009 09  641324.
 2009 08  611325·
 2009 07  831244·
 2009 06  821219·
 2009 05  331197.
 2009 04  841190·
 2009 03  361223.
 2009 02  421248.
 2009 01  341231·
 2008 12 771231.
 2008 11 401223.
 2008 10 51199.
 2008 09 871211.
 2008 08 891206·
 2008 07 781219.
 2008 06 851211.
 2008 05 361209·
 2008 04 971222.
 2008 03 551240·
 2008 02 211251.
 2008 01 501169·
 2007 12  01192·
 2007 11  41115.
 2007 10  731102.
 2007 09  231100·
 2007 08  241067.
 2007 07  811088·
 2007 06  321103.
 2007 05  751144.
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 2007 02  91158·
 2007 01  491139.
 2006 12 631103·
 2006 11 721107·
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 2006 05 66998.
 2006 04 15927.
 2006 03 79993.
 2006 02 541006.
 2006 01 221014.
 2005 12  01061·
 2005 11  221050.
 2005 10  341036.
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 2005 08  841001.
 2005 07  57965.
 2005 06  72948.
 2005 05  51987.
 2005 04  66957·
 2005 03  17954·
 2005 02  31992·
 2005 01  87984.
 2004 12 73984·
 2004 11 59987.
 2004 10 98982·
 2004 09 54910·
 2004 08 54946.
 2004 07 63926·
 2004 06 87922.
 2004 05 97888.
 2004 04 85826.
 2004 03 37833·
 2004 02 35868.
 2004 01 85900.
 2003 12  67939.
 2003 11  12975.
 2003 10  6955·
 2003 09  11863.
 2003 08  24932·
 2003 07  45873·
 2003 06  87852·
 2003 05  96894.
 2003 04  7872·
 2003 03  18851·
 2003 02  91845·
 2003 01  83836.
 2002 12 92868.
 2002 11 36961·
 2002 10 57969.
 2002 09 41862·
 2002 08 78842·
 2002 07 33778.
 2002 06 46700·
 2002 05 65785·
 2002 04 92810·
 2002 03 63816.
 2002 02 47824.
 2002 01 73838.
 2001 12  84812.
 2001 11  10868·
 2001 10  73877·
 2001 09  10798·
 2001 08  29788·
 2001 07  80760·
 2001 06  61692.
 2001 05  45666.
 2001 04  27741.
 2001 03  3743.
 2001 02  75775.
 2001 01  72799.
 2000 12 3798.
 2000 11 38816·
 2000 10 3844.
 2000 09 10834.
 2000 08 10798·
 2000 07 65801.
 2000 06 56730·
 2000 05 3743.
 2000 04 20736.
 2000 03 92728·
 2000 02 74730·
 2000 01 21707·
 1993 12  36586.
 1993 11  50623.
 1993 10  19626.
 1993 09  57629·
 1993 08  82615.
 1993 07  95615·
 1993 06  79621.
 1993 05  32590·
 1993 04  9580·
 1993 03  9593.
 1993 02  67589·
 1993 01  88580.
 1992 12 92581·
 1992 11 99598·
 1992 10 21633·
 1992 09 95631·
 1992 08 32615.
 1992 07 96645·
 1992 06 3642·
 1992 05 47647·
 1992 04 54612·
 1992 03 58600·
 1992 02 2618.
 1992 01 63628·
 1991 12  8652.
 1991 11  65624·
 1991 10  30618·
 1991 09  88616.
 1991 08  70590.
 1991 07  25601·
 1991 06  25599·
 1991 05  90626.
 1991 04  40600·
 1991 03  69613.
 1991 02  51592·
 1991 01  64585.
 1990 12 43592.
 1990 11 53572.
 1990 10 95580·
 1990 09 29564·
 1990 08 30529·
 1990 07 60544·
 1990 06 70546.
 1990 05 29548·
 1990 04 77569.
 1990 03 95591·
 1990 02 13583.
 1990 01 34573.
 1989 12  83558·
 1989 11  91545.
 1989 10  89560.
 1989 09  36537·
 1989 08  75522.
 1989 07  5527·
 1989 06  84518.
 1989 05  56509.
 1989 04  2532·
 1989 03  17510.
 1989 02  11557·
 1989 01  37567.
 1988 12 40538·
 1988 11 35549·
 1988 10 9523.
 1988 09 49522·
 1988 08 89484.
 1988 07 90519.
 1988 06 41524.
 1988 05 86563·
 1988 04 74564.
 1988 03 38531.
 1988 02 93537.
 1988 01 67497·
 1987 12  47508·
 1987 11  62495.
 1987 10  80457·
 1987 09  36458·
 1987 08  82455.
 1987 07  68495·
 1987 06  39471.
 1987 05  62492·
 1987 04  80504.
 1987 03  88494·
 1987 02  33481.
 1987 01  40477·
 1986 12 67474.
 1986 11 79457·
 1986 10 49472·
 1986 09 88455·
 1986 08 92462.
 1986 07 21493.
 1986 06 1463·
 1986 05 51482·
 1986 04 30488.
 1986 03 21486·
 1986 02 27519.
 1986 01 97493·
 1985 12  84459.
 1985 11  13457·
 1985 10  89455.
 1985 09  22453·
 1985 08  77451.
 1985 07  51449.
 1985 06  75447·
 1985 05  44445·
 1985 04  60443.
 1985 03  17441.
 1985 02  99439·
 1985 01  7437.
 1984 12 8435·
 1984 11 19432·
 1984 10 98430·
 1984 09 80428.
 1984 08 23426·
 1984 07 87424·
 1984 06 35422·
 1984 05 58420·
 1984 04 29418.
 1984 03 79416.
 1984 02 98413.
 1984 01 59411.
 1983 12  77409.
 1983 11  76407.
 1983 10  99405·
 1983 09  29402.
 1983 08  42400·
 1983 07  85398.
 1983 06  77396·
 1983 05  35394.
 1983 04  24391·
 1983 03  37389·
 1983 02  95387.
 1983 01  72385.
 1982 12 49383.
 1982 11 90380.
 1982 10 41378·
 1982 09 60376·
 1982 08 68374.
 1982 07 24372·
 1982 06 26370.
 1982 05 42367·
 1982 04 55365.
 1982 03 46363·
 1982 02 90361.
 1982 01 87359·
 1981 12  12357.
 1981 11  88355·
 1981 10  95353.
 1981 09  90351.
 1981 08  62349·
 1981 07  7347.
 1981 06  29345.
 1981 05  70343·
 1981 04  58341·
 1981 03  84339·
 1981 02  5337·
 1981 01  71336·
 1980 12 74334.
 1980 11 26332.
 1980 10 61330.
 1980 09 62328.
 1980 08 10326·
 1980 07 64325·
 1980 06 60323.
 1980 05 37321.
 1980 04 93319·
 1980 03 56317.
 1980 02 89316.
 1980 01 16314.
 1979 12  72289·
 1979 11  82292.
 1979 10  62306.
 1979 09  42292.
 1979 08  23274·
 1979 07  50274·
 1979 06  16275·
 1979 05  84276.
 1979 04  46274.
 1979 03  91259·
 1979 02  14265·
 1979 01  38230.
 1978 12 66250.
 1978 11 62240·
 1978 10 44251·
 1978 09 21267.
 1978 08 35273.
 1978 07 43282.
 1978 06 20264·
 1978 05 78266·
 1978 04 27260·
 1978 03 43252·
 1978 02 78243.
 1978 01 79230·
 1977 12  42234.
 1977 11  93242.
 1977 10  82249·
 1977 09  16245.
 1977 08  7258.
 1977 07  49248.
 1977 06  20249·
 1977 05  11237·
 1977 04  72224.
 1977 03  93229.
 1977 02  5249.
 1977 01  6259·
 1976 12 11262.
 1976 11 31274·
 1976 10 74270.
 1976 09 70258·
 1976 08 25268.
 1976 07 96252.
 1976 06 91256.
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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, Hispanic or Latino: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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