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 Series Title: Unemployment Level: 65-69 years, White Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1976 06 7957·
 1976 07 8741.
 1976 08 7038.
 1976 09 9442·
 1976 10 4941.
 1976 11 2450·
 1976 12 1542.
 1977 01  4470.
 1977 02  1678·
 1977 03  9274·
 1977 04  9255.
 1977 05  2464·
 1977 06  3156·
 1977 07  7155·
 1977 08  1543·
 1977 09  7954.
 1977 10  7053.
 1977 11  6748.
 1977 12  2043.
 1978 01 7642.
 1978 02 3348·
 1978 03 1444.
 1978 04 7144.
 1978 05 1152·
 1978 06 4445.
 1978 07 6753.
 1978 08 5643.
 1978 09 242·
 1978 10 5623·
 1978 11 738.
 1978 12 8837.
 1979 01  9437·
 1979 02  4243.
 1979 03  4360·
 1979 04  444·
 1979 05  5541.
 1979 06  328·
 1979 07  430·
 1979 08  6734·
 1979 09  8147.
 1979 10  6637·
 1979 11  4827.
 1979 12  6628·
 1980 01 8934.
 1980 02 7928·
 1980 03 5717·
 1980 04 1228·
 1980 05 2526·
 1980 06 1928·
 1980 07 3737.
 1980 08 4534·
 1980 09 5724·
 1980 10 8525·
 1980 11 2023.
 1980 12 2724·
 1981 01  8033·
 1981 02  427.
 1981 03  6225·
 1981 04  4622.
 1981 05  1225·
 1981 06  2626·
 1981 07  4526.
 1981 08  1423·
 1981 09  9726.
 1981 10  2629·
 1981 11  7632·
 1981 12  7040.
 1982 01 629·
 1982 02 426.
 1982 03 8650·
 1982 04 7745·
 1982 05 3213·
 1982 06 8619·
 1982 07 3229.
 1982 08 2232·
 1982 09 9442·
 1982 10 2239·
 1982 11 9641.
 1982 12 1846.
 1983 01  3650.
 1983 02  8852.
 1983 03  8439·
 1983 04  429·
 1983 05  2831.
 1983 06  8438.
 1983 07  2721·
 1983 08  4130·
 1983 09  6331·
 1983 10  3522·
 1983 11  8428.
 1983 12  1942·
 1984 01 6131·
 1984 02 9220·
 1984 03 3429·
 1984 04 4927·
 1984 05 6530·
 1984 06 3020.
 1984 07 8618.
 1984 08 7030.
 1984 09 4631.
 1984 10 5028·
 1984 11 6923·
 1984 12 4518·
 1985 01  9735.
 1985 02  7719·
 1985 03  4231.
 1985 04  6125.
 1985 05  3824.
 1985 06  6122.
 1985 07  8618.
 1985 08  3221·
 1985 09  1125.
 1985 10  7832·
 1985 11  740.
 1985 12  9528.
 1986 01 8723·
 1986 02 2833.
 1986 03 3742.
 1986 04 1436.
 1986 05 6031.
 1986 06 3647.
 1986 07 3337·
 1986 08 7525.
 1986 09 4930·
 1986 10 5437.
 1986 11 7622.
 1986 12 9221·
 1987 01  9824.
 1987 02  5629.
 1987 03  7338.
 1987 04  425.
 1987 05  7620.
 1987 06  4217.
 1987 07  5519·
 1987 08  7230·
 1987 09  7722·
 1987 10  3826·
 1987 11  8031.
 1987 12  8429·
 1988 01 2128·
 1988 02 9621·
 1988 03 2827·
 1988 04 5412.
 1988 05 5127.
 1988 06 8837·
 1988 07 727.
 1988 08 2016.
 1988 09 3714·
 1988 10 1824.
 1988 11 4940.
 1988 12 4426.
 1989 01  7322·
 1989 02  838·
 1989 03  921·
 1989 04  1428.
 1989 05  7724·
 1989 06  1127·
 1989 07  6922·
 1989 08  4418.
 1989 09  9519.
 1989 10  131·
 1989 11  3643.
 1989 12  7032.
 1990 01 9533·
 1990 02 8038.
 1990 03 4326·
 1990 04 5627.
 1990 05 7133·
 1990 06 7114.
 1990 07 4422.
 1990 08 9047·
 1990 09 4329.
 1990 10 2636·
 1990 11 2336·
 1990 12 8533.
 1991 01  5533.
 1991 02  2050.
 1991 03  8533.
 1991 04  7829.
 1991 05  7626.
 1991 06  5320.
 1991 07  6228·
 1991 08  3334.
 1991 09  9945·
 1991 10  5139.
 1991 11  1149·
 1991 12  3739·
 1992 01 4556.
 1992 02 6448·
 1992 03 1446.
 1992 04 345.
 1992 05 5644.
 1992 06 6841.
 1992 07 7742.
 1992 08 7037·
 1992 09 435.
 1992 10 6341.
 1992 11 3237·
 1992 12 9927.
 1993 01  8035.
 1993 02  7424·
 1993 03  3536.
 1993 04  7921·
 1993 05  622·
 1993 06  5232.
 1993 07  6937·
 1993 08  2339·
 1993 09  2443.
 1993 10  7238·
 1993 11  3933·
 1993 12  6952·
 1994 01 450.
 1994 02 3458·
 1994 03 7837·
 1994 04 8032.
 1994 05 4039·
 1994 06 6541·
 1994 07 4146·
 1994 08 4341.
 1994 09 5241·
 1994 10 1356.
 1994 11 1251.
 1994 12 7135.
 1995 01  8245·
 1995 02  5638·
 1995 03  9550.
 1995 04  245·
 1995 05  244·
 1995 06  9244·
 1995 07  2443·
 1995 08  066.
 1995 09  471·
 1995 10  4834.
 1995 11  5435·
 1995 12  5228.
 1996 01 758·
 1996 02 7341.
 1996 03 6736.
 1996 04 7045.
 1996 05 5736·
 1996 06 4441·
 1996 07 7044·
 1996 08 9453.
 1996 09 2229·
 1996 10 6148.
 1996 11 9527·
 1996 12 8539·
 1997 01  9659.
 1997 02  4952·
 1997 03  9835·
 1997 04  3218·
 1997 05  9834.
 1997 06  5829·
 1997 07  6129·
 1997 08  4742·
 1997 09  7337.
 1997 10  6429.
 1997 11  9030·
 1997 12  6831·
 1998 01 8937·
 1998 02 6736·
 1998 03 1730·
 1998 04 5931.
 1998 05 4122·
 1998 06 9227·
 1998 07 9948.
 1998 08 728·
 1998 09 4844.
 1998 10 9132·
 1998 11 1725·
 1998 12 2533·
 1999 01  5430·
 1999 02  3839·
 1999 03  7936.
 1999 04  5125.
 1999 05  2928·
 1999 06  3433.
 1999 07  1531.
 1999 08  4839.
 1999 09  6651.
 1999 10  439·
 1999 11  8236·
 1999 12  437.
 2000 01 8434.
 2000 02 9844.
 2000 03 6242·
 2000 04 3135.
 2000 05 2731.
 2000 06 9225.
 2000 07 6224.
 2000 08 6828·
 2000 09 6655.
 2000 10 8730.
 2000 11 1227.
 2000 12 7739.
 2001 01  9334·
 2001 02  732.
 2001 03  7135·
 2001 04  4626·
 2001 05  2920·
 2001 06  434.
 2001 07  1928.
 2001 08  8924·
 2001 09  1725·
 2001 10  5244.
 2001 11  6449.
 2001 12  4241·
 2002 01 2554·
 2002 02 5246·
 2002 03 3636·
 2002 04 7051·
 2002 05 5042.
 2002 06 2939·
 2002 07 9236.
 2002 08 5931.
 2002 09 933·
 2002 10 3451·
 2002 11 1538.
 2002 12 2352.
 2003 01  4781.
 2003 02  4290·
 2003 03  1067·
 2003 04  053.
 2003 05  3253·
 2003 06  5369.
 2003 07  1055·
 2003 08  5255.
 2003 09  6046.
 2003 10  9333.
 2003 11  7037.
 2003 12  6836.
 2004 01 4935.
 2004 02 1335·
 2004 03 7454.
 2004 04 6041.
 2004 05 4345.
 2004 06 8757·
 2004 07 2643.
 2004 08 6640·
 2004 09 1234·
 2004 10 1646·
 2004 11 5953.
 2004 12 4936.
 2005 01  4944·
 2005 02  2546·
 2005 03  3043.
 2005 04  9837.
 2005 05  7417·
 2005 06  6643.
 2005 07  2038·
 2005 08  2429·
 2005 09  3041·
 2005 10  1242·
 2005 11  3638.
 2005 12  6642·
 2006 01 8869.
 2006 02 6536·
 2006 03 943·
 2006 04 8651.
 2006 05 4119.
 2006 06 5047.
 2006 07 9636·
 2006 08 7348·
 2006 09 835.
 2006 10 1741.
 2006 11 8053.
 2006 12 4054·
 2007 01  3472·
 2007 02  4248·
 2007 03  6558.
 2007 04  2366·
 2007 05  8748·
 2007 06  2644·
 2007 07  8548·
 2007 08  8733·
 2007 09  6244.
 2007 10  9239·
 2007 11  9551·
 2007 12  1972·
 2008 01 7862.
 2008 02 9363·
 2008 03 7777·
 2008 04 3251.
 2008 05 7952.
 2008 06 361·
 2008 07 3874·
 2008 08 6475.
 2008 09 3391.
 2008 10 2360·
 2008 11 1088.
 2008 12 78106.
 2009 01  37117.
 2009 02  77146.
 2009 03  50123.
 2009 04  62125.
 2009 05  7114·
 2009 06  18112·
 2009 07  38123.
 2009 08  27131.
 2009 09  89107·
 2009 10  19130·
 2009 11  81123.
 2009 12  14153·
 2010 01 52164·
 2010 02 81168.
 2010 03 12125.
 2010 04 83135.
 2010 05 90117.
 2010 06 30119.
 2010 07 86156.
 2010 08 24154.
 2010 09 21115.
 2010 10 16129.
 2010 11 86137·
 2010 12 49143.
 2011 01  91139·
 2011 02  15126.
 2011 03  18145.
 2011 04  96151·
 2011 05  68131·
 2011 06  26139·
 2011 07  14123·
 2011 08  28122.
 2011 09  47150·
 2011 10  75140.
 2011 11  30125.
 2011 12  33150·
 2012 01 45130.
 2012 02 13119·
 2012 03 48134.
 2012 04 23134.
 2012 05 9130·
 2012 06 16161.
 2012 07 74151·
 2012 08 37129.
 2012 09 7134·
 2012 10 82107·
 2012 11 41127·
 2012 12 38149.
 2013 01  32192.
 2013 02  38159.
 2013 03  5147·
 2013 04  13129·
 2013 05  4119·
 2013 06  35109·
 2013 07  47102·
 2013 08  75102·
 2013 09  68114·
 2013 10  47133.
 2013 11  74119.
 2013 12  62119·
 2014 01 92129·
 2014 02 75113.
 2014 03 19109·
 2014 04 37118·
 2014 05 71116.
 2014 06 4486.
 2014 07 3777.
 2014 08 8889·
 2014 09 2388·
 2014 10 588·
 2014 11 9114·
 2014 12 2888·
 2015 01  9396·
 2015 02  3388.
 2015 03  4461·
 2015 04  9480·
 2015 05  5076·
 2015 06  2952.
 2015 07  7259.
 2015 08  5083.
 2015 09  8983.
 2015 10  1770·
 2015 11  5075·
 2015 12  8477.
 2016 01 27102·
 2016 02 49108.
 2016 03 6090·
 2016 04 897.
 2016 05 1085·
 2016 06 082·
 2016 07 896.
 2016 08 6076.
 2016 09 682·
 2016 10 6991·
 2016 11 26102.
 2016 12 3109·
 2017 01  10108.
 2017 02  83109·
 2017 03  7068.
 2017 04  2691·


 2017 05  4164·
 2017 06  9274·
 2017 07  2368.
 2017 08  4050.
 2017 09  4264.
 2017 10  7281·
 2017 11  9175·
 2017 12  8478·
 2018 01 8496·
 2018 02 2177·
 2018 03 569·
 2018 04 2156.
 2018 05 6075·
 2018 06 6795·
 2018 07 2383.
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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: Unemployment Level: 65-69 years, White Men: 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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