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 Series Title: Employment Level: Multiple Jobholders 55-64 years, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1994 01 39223·
 1994 02 45228.
 1994 03 28216.
 1994 04 83188·
 1994 05 31187.
 1994 06 95209.
 1994 07 99188·
 1994 08 98205.
 1994 09 27220·
 1994 10 80222·
 1994 11 8249.
 1994 12 49242.
 1995 01  77216·
 1995 02  83218.
 1995 03  68236·
 1995 04  80246·
 1995 05  57239.
 1995 06  10221·
 1995 07  18210·
 1995 08  61239.
 1995 09  67248·
 1995 10  93291.
 1995 11  19238·
 1995 12  85257.
 1996 01 33201.
 1996 02 88250·
 1996 03 61224.
 1996 04 72201.
 1996 05 4244.
 1996 06 78235.
 1996 07 55248·
 1996 08 66237·
 1996 09 56248·
 1996 10 68272.
 1996 11 41224·
 1996 12 36235·
 1997 01  90237.
 1997 02  91280·
 1997 03  79294·
 1997 04  76281·
 1997 05  31299.
 1997 06  3267·
 1997 07  60252·
 1997 08  5263·
 1997 09  29292·
 1997 10  86278.
 1997 11  95251·
 1997 12  68228.
 1998 01 60270.
 1998 02 46318·
 1998 03 22295.
 1998 04 33324·
 1998 05 24281·
 1998 06 15239·
 1998 07 4252·
 1998 08 95290.
 1998 09 46309.
 1998 10 49355·
 1998 11 30345.
 1998 12 73363·
 1999 01  78325.
 1999 02  31345.
 1999 03  11324.
 1999 04  11309·
 1999 05  94291·
 1999 06  67273·
 1999 07  86281.
 1999 08  78243·
 1999 09  94287.
 1999 10  89373·
 1999 11  18355.
 1999 12  68359·
 2000 01 5316.
 2000 02 53383.
 2000 03 95362·
 2000 04 1313.
 2000 05 76313.
 2000 06 40276·
 2000 07 29335·
 2000 08 20301·
 2000 09 83323·
 2000 10 58306.
 2000 11 59340.
 2000 12 95333·
 2001 01  26332.
 2001 02  39354·
 2001 03  47369·
 2001 04  20337·
 2001 05  31334·
 2001 06  38321.
 2001 07  81302·
 2001 08  13285.
 2001 09  48296·
 2001 10  37306·
 2001 11  75352·
 2001 12  20318·
 2002 01 52323·
 2002 02 44348.
 2002 03 65380.
 2002 04 9367·
 2002 05 44371.
 2002 06 89323.
 2002 07 15317.
 2002 08 75326·
 2002 09 50371.
 2002 10 30355·
 2002 11 14386.
 2002 12 36427·
 2003 01  19372·
 2003 02  47441.
 2003 03  72452.
 2003 04  37386.
 2003 05  27403.
 2003 06  48377.
 2003 07  30353·
 2003 08  46396.
 2003 09  74402·
 2003 10  65461·
 2003 11  48437·
 2003 12  59403.
 2004 01 86419·
 2004 02 53466.
 2004 03 16459.
 2004 04 93419.
 2004 05 13394.
 2004 06 95379·
 2004 07 47389.
 2004 08 94398·
 2004 09 31418·
 2004 10 97435·
 2004 11 77401.
 2004 12 30431.
 2005 01  40407·
 2005 02  91443.
 2005 03  71482·
 2005 04  96479·
 2005 05  65440.
 2005 06  33411.
 2005 07  15374·
 2005 08  11345·
 2005 09  57462·
 2005 10  6422.
 2005 11  23418.
 2005 12  18433.
 2006 01 91417.
 2006 02 15511.
 2006 03 33515.
 2006 04 87482·
 2006 05 68487·
 2006 06 93421·
 2006 07 8477·
 2006 08 12457.
 2006 09 12478.
 2006 10 95470·
 2006 11 35491.
 2006 12 13451·
 2007 01  75487.
 2007 02  5539·
 2007 03  27536·
 2007 04  33531.
 2007 05  31484·
 2007 06  27459.
 2007 07  23440·
 2007 08  41429.
 2007 09  82503.
 2007 10  95553.
 2007 11  84523·
 2007 12  32525·
 2008 01 52562.
 2008 02 64557.
 2008 03 0513.
 2008 04 25497.
 2008 05 91534.
 2008 06 17505.
 2008 07 83521.
 2008 08 63540.
 2008 09 76547·
 2008 10 59515.
 2008 11 70548·
 2008 12 17493.
 2009 01  7577.
 2009 02  23637.
 2009 03  25603·
 2009 04  80626.
 2009 05  9538·
 2009 06  65473.
 2009 07  36501.
 2009 08  72482·
 2009 09  32434·
 2009 10  67512.
 2009 11  15524·
 2009 12  35471.
 2010 01 52564·
 2010 02 35557·
 2010 03 1585.
 2010 04 41567.
 2010 05 69580.
 2010 06 1507·
 2010 07 56436.
 2010 08 82456.
 2010 09 9513.
 2010 10 22547·
 2010 11 68500.
 2010 12 78562.
 2011 01  21584.
 2011 02  79582.
 2011 03  50598·
 2011 04  74577·
 2011 05  82540·
 2011 06  80536.
 2011 07  40571·
 2011 08  37530·
 2011 09  92510.
 2011 10  55534.
 2011 11  1566.
 2011 12  63597·
 2012 01 76574.
 2012 02 61680·
 2012 03 21611·
 2012 04 70593.
 2012 05 85636·
 2012 06 80565.
 2012 07 12483.
 2012 08 3544.
 2012 09 93538·
 2012 10 19585.
 2012 11 13621·
 2012 12 30605·
 2013 01  2533.
 2013 02  9550.
 2013 03  86553.
 2013 04  47567.
 2013 05  36609·
 2013 06  7524·
 2013 07  19494·
 2013 08  71567·
 2013 09  47550.
 2013 10  94618.
 2013 11  26574·
 2013 12  48544.
 2014 01 9565.
 2014 02 77569·
 2014 03 44650·
 2014 04 46681.
 2014 05 23564·
 2014 06 89581.
 2014 07 35505.
 2014 08 60534.
 2014 09 14563·
 2014 10 84598.
 2014 11 89620.
 2014 12 8632.
 2015 01  33549·
 2015 02  46554.
 2015 03  17543·
 2015 04  34576·
 2015 05  55564·
 2015 06  80563·
 2015 07  58564·
 2015 08  9540·
 2015 09  80584.
 2015 10  19643.
 2015 11  74584·
 2015 12  26634.
 2016 01 35559.
 2016 02 18569·
 2016 03 54599.
 2016 04 4569·
 2016 05 68647·
 2016 06 61589·
 2016 07 10547·
 2016 08 87544.
 2016 09 56614.
 2016 10 52636.
 2016 11 80602.
 2016 12 45595·
 2017 01  99537.
 2017 02  24547·


 2017 03  27582·
 2017 04  71562.
 2017 05  23576.
 2017 06  34573.
 2017 07  40537.
 2017 08  85559·
 2017 09  77550.
 2017 10  63548·
 2017 11  30570·
 2017 12  31612.
 2018 01 38529·
 2018 02 18607.
 2018 03 36530.
 2018 04 78558.
 2018 05 5590.
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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: Employment Level: Multiple Jobholders 55-64 years, 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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