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 Series Title: Population Level: 60-64 years, Hispanic or Latino Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 56847·
 2012 03 98811.
 2012 02 90780·
 2012 01 70758.
 2011 12  5742.
 2011 11  59749.
 2011 10  2761·
 2011 09  31788·
 2011 08  27757.
 2011 07  25802·
 2011 06  21785.
 2011 05  97797·
 2011 04  71797.
 2011 03  76792·
 2011 02  60795.
 2011 01  12706.
 2010 12 14681.
 2010 11 21679.
 2010 10 57718.
 2010 09 45700·
 2010 08 56712·
 2010 07 91689·
 2010 06 75688.
 2010 05 90711·
 2010 04 22680·
 2010 03 42679.
 2010 02 2673·
 2010 01 67659.
 2009 12  63662.
 2009 11  55676.
 2009 10  50685·
 2009 09  19696·
 2009 08  53696.
 2009 07  39610·
 2009 06  58596.
 2009 05  16586.
 2009 04  94591.
 2009 03  23623.
 2009 02  88634.
 2009 01  52641·
 2008 12 10630.
 2008 11 65638·
 2008 10 28629·
 2008 09 46631.
 2008 08 53636.
 2008 07 47641·
 2008 06 92629.
 2008 05 42632.
 2008 04 97641·
 2008 03 75657·
 2008 02 17668.
 2008 01 10605.
 2007 12  43620.
 2007 11  81567·
 2007 10  65562.
 2007 09  43584.
 2007 08  16570.
 2007 07  21585.
 2007 06  26568.
 2007 05  61607.
 2007 04  67612.
 2007 03  77603·
 2007 02  11621.
 2007 01  7593.
 2006 12 71568.
 2006 11 56577.
 2006 10 59587.
 2006 09 51589·
 2006 08 29607·
 2006 07 89581·
 2006 06 32533.
 2006 05 87553.
 2006 04 65502.
 2006 03 33534·
 2006 02 19522·
 2006 01 35521.
 2005 12  31549.
 2005 11  70567·
 2005 10  32540·
 2005 09  38548.
 2005 08  1556·
 2005 07  6502.
 2005 06  9510·
 2005 05  65555·
 2005 04  76528·
 2005 03  73540·
 2005 02  14547.
 2005 01  11520·
 2004 12 81530·
 2004 11 27525·
 2004 10 33528·
 2004 09 94496·
 2004 08 68491.
 2004 07 51486·
 2004 06 80462.
 2004 05 59442.
 2004 04 10434·
 2004 03 50448·
 2004 02 93455.
 2004 01 76466·
 2003 12  9500·
 2003 11  57522.
 2003 10  35525.
 2003 09  37475·
 2003 08  91483·
 2003 07  28446.
 2003 06  93435·
 2003 05  63474·
 2003 04  4467·
 2003 03  45465.
 2003 02  81454·
 2003 01  97451.
 2002 12 25480.
 2002 11 14536.
 2002 10 35536·
 2002 09 9458·
 2002 08 54450.
 2002 07 67416·
 2002 06 20383·
 2002 05 93431.
 2002 04 17440.
 2002 03 61445·
 2002 02 24430.
 2002 01 67430·
 2001 12  64416.
 2001 11  77463.
 2001 10  58495.
 2001 09  76438.
 2001 08  70434·
 2001 07  22411.
 2001 06  61361·
 2001 05  90353·
 2001 04  36379.
 2001 03  27384.
 2001 02  96387.
 2001 01  2386.
 2000 12 87378.
 2000 11 50421.
 2000 10 50445.
 2000 09 31475·
 2000 08 73486·
 2000 07 72460·
 2000 06 37410·
 2000 05 21414·
 2000 04 70405·
 2000 03 99386·
 2000 02 95370·
 2000 01 43347.
 1993 12  79346.
 1993 11  63343.
 1993 10  85346.
 1993 09  89327.
 1993 08  24333·
 1993 07  21343.
 1993 06  97348·
 1993 05  79337.
 1993 04  56318.
 1993 03  54327.
 1993 02  43322.
 1993 01  58318.
 1992 12 50330·
 1992 11 70350.
 1992 10 62377.
 1992 09 93357·
 1992 08 8344.
 1992 07 99362.
 1992 06 15338·
 1992 05 80345·
 1992 04 53323·
 1992 03 99316·
 1992 02 90340·
 1992 01 38350.
 1991 12  38362.
 1991 11  50356.
 1991 10  2345.
 1991 09  10336.
 1991 08  36307.
 1991 07  60311·
 1991 06  87315.
 1991 05  66341·
 1991 04  48335.
 1991 03  61348·
 1991 02  8322·
 1991 01  0316.
 1990 12 1300·
 1990 11 8290.
 1990 10 54281·
 1990 09 31267.
 1990 08 43269.
 1990 07 84275·
 1990 06 37300.
 1990 05 3297·
 1990 04 51313.
 1990 03 95339.
 1990 02 96330·
 1990 01 86323.
 1989 12  25305·
 1989 11  73289.
 1989 10  92305·
 1989 09  73288·
 1989 08  91277.
 1989 07  74287.
 1989 06  14292·
 1989 05  84295.
 1989 04  98305.
 1989 03  81301.
 1989 02  75323.
 1989 01  63320.
 1988 12 22318·
 1988 11 99317.
 1988 10 13288·
 1988 09 79302.
 1988 08 64279.
 1988 07 61306·
 1988 06 90307·
 1988 05 25319.
 1988 04 49309·
 1988 03 22298.
 1988 02 94311.
 1988 01 22301·
 1987 12  27299·
 1987 11  66295·
 1987 10  39254.
 1987 09  14251·
 1987 08  73256.
 1987 07  97260.
 1987 06  63252·
 1987 05  69258.
 1987 04  89261·
 1987 03  49257·
 1987 02  27257.
 1987 01  81243.
 1986 12 99237.
 1986 11 77237·
 1986 10 21250·
 1986 09 70250·
 1986 08 54256.
 1986 07 64284.
 1986 06 56248·
 1986 05 80254.
 1986 04 29259·
 1986 03 15250·
 1986 02 71261·
 1986 01 81259·
 1985 12  25245·
 1985 11  63244.
 1985 10  29243.
 1985 09  65241.
 1985 08  67240·
 1985 07  64239·
 1985 06  18238·
 1985 05  53237·
 1985 04  5236·
 1985 03  99235·
 1985 02  50234.
 1985 01  88233.
 1984 12 16232·
 1984 11 77231.
 1984 10 63230·
 1984 09 40228·
 1984 08 98227·
 1984 07 27226.
 1984 06 21225.
 1984 05 3224·
 1984 04 78223·
 1984 03 7222.
 1984 02 11221.
 1984 01 96219·
 1983 12  6218·
 1983 11  98217.
 1983 10  45216·
 1983 09  62215.
 1983 08  57214·
 1983 07  7213.
 1983 06  63212.
 1983 05  72210.
 1983 04  32209·
 1983 03  66208·
 1983 02  27207.
 1983 01  20206·
 1982 12 56205·
 1982 11 32204.
 1982 10 24203·
 1982 09 23201.
 1982 08 80200.
 1982 07 85199·
 1982 06 68198.
 1982 05 28197·
 1982 04 79196·
 1982 03 33195·
 1982 02 97194.
 1982 01 2193.
 1981 12  53192.
 1981 11  7191·
 1981 10  73190·
 1981 09  40189·
 1981 08  27188·
 1981 07  63187.
 1981 06  84186·
 1981 05  61185·
 1981 04  53184.
 1981 03  85183·
 1981 02  43182.
 1981 01  9181·
 1980 12 6180·
 1980 11 77179·
 1980 10 88178.
 1980 09 53177.
 1980 08 85177·
 1980 07 72176.
 1980 06 83175·
 1980 05 88174·
 1980 04 16173·
 1980 03 27172·
 1980 02 14171·
 1980 01 33171·
 1979 12  50166·
 1979 11  22172·
 1979 10  95176.
 1979 09  31168·
 1979 08  63155·
 1979 07  66154·
 1979 06  64149·
 1979 05  52161.
 1979 04  53157·
 1979 03  88143·
 1979 02  83148·
 1979 01  91131.
 1978 12 48142·
 1978 11 47138·
 1978 10 40146.
 1978 09 65153·
 1978 08 96149.
 1978 07 23152.
 1978 06 49145·
 1978 05 20142.
 1978 04 75144·
 1978 03 24145·
 1978 02 47142.
 1978 01 24134·
 1977 12  83134.
 1977 11  80141.
 1977 10  97145·
 1977 09  72143·
 1977 08  47145.
 1977 07  49141.
 1977 06  87136.
 1977 05  82126.
 1977 04  16118·
 1977 03  12122·
 1977 02  30137·
 1977 01  99147.
 1976 12 67147.
 1976 11 76154.
 1976 10 64150·
 1976 09 93140·
 1976 08 99138.
 1976 07 72126.
 1976 06 51123.
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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 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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