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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 52223.
 1994 02 46228.
 1994 03 70216.
 1994 04 37188.
 1994 05 88187·
 1994 06 63209.
 1994 07 6188·
 1994 08 91205.
 1994 09 72220.
 1994 10 59222.
 1994 11 25249.
 1994 12 25242.
 1995 01  54216·
 1995 02  17218·
 1995 03  39236·
 1995 04  83246.
 1995 05  9239.
 1995 06  43221.
 1995 07  86210.
 1995 08  35239·
 1995 09  38248.
 1995 10  68291.
 1995 11  28238.
 1995 12  73257·
 1996 01 66201·
 1996 02 50250.
 1996 03 54224.
 1996 04 18201·
 1996 05 43244·
 1996 06 70235·
 1996 07 77248·
 1996 08 14237·
 1996 09 46248·
 1996 10 34272.
 1996 11 35224.
 1996 12 30235.
 1997 01  74237.
 1997 02  74280.
 1997 03  90294.
 1997 04  59281·
 1997 05  53299·
 1997 06  47267·
 1997 07  30252.
 1997 08  21263·
 1997 09  32292.
 1997 10  35278·
 1997 11  68251·
 1997 12  61228.
 1998 01 88270.
 1998 02 44318·
 1998 03 42295.
 1998 04 47324·
 1998 05 22281.
 1998 06 5239·
 1998 07 15252.
 1998 08 73290.
 1998 09 57309.
 1998 10 76355.
 1998 11 75345·
 1998 12 59363.
 1999 01  45325.
 1999 02  38345.
 1999 03  35324.
 1999 04  49309.
 1999 05  61291.
 1999 06  98273·
 1999 07  33281·
 1999 08  12243.
 1999 09  6287.
 1999 10  87373·
 1999 11  31355·
 1999 12  41359.
 2000 01 4316.
 2000 02 62383·
 2000 03 17362·
 2000 04 57313.
 2000 05 7313·
 2000 06 5276·
 2000 07 5335.
 2000 08 3301.
 2000 09 89323·
 2000 10 22306.
 2000 11 32340·
 2000 12 49333.
 2001 01  51332·
 2001 02  44354.
 2001 03  61369·
 2001 04  88337·
 2001 05  19334.
 2001 06  30321.
 2001 07  80302·
 2001 08  40285·
 2001 09  42296·
 2001 10  59306.
 2001 11  1352·
 2001 12  48318.
 2002 01 97323.
 2002 02 39348·
 2002 03 64380·
 2002 04 83367.
 2002 05 83371.
 2002 06 2323.
 2002 07 30317·
 2002 08 38326.
 2002 09 26371.
 2002 10 4355.
 2002 11 88386.
 2002 12 32427·
 2003 01  77372·
 2003 02  26441.
 2003 03  50452.
 2003 04  10386·
 2003 05  10403·
 2003 06  76377.
 2003 07  55353·
 2003 08  40396.
 2003 09  27402.
 2003 10  85461·
 2003 11  64437·
 2003 12  17403·
 2004 01 51419.
 2004 02 10466·
 2004 03 67459·
 2004 04 59419.
 2004 05 35394·
 2004 06 32379.
 2004 07 76389·
 2004 08 12398·
 2004 09 53418·
 2004 10 57435.
 2004 11 28401·
 2004 12 44431.
 2005 01  6407.
 2005 02  19443·
 2005 03  88482.
 2005 04  49479·
 2005 05  19440·
 2005 06  72411·
 2005 07  42374.
 2005 08  47345.
 2005 09  43462.
 2005 10  0422.
 2005 11  4418.
 2005 12  81433.
 2006 01 52417.
 2006 02 8511.
 2006 03 11515·
 2006 04 21482·
 2006 05 48487·
 2006 06 28421.
 2006 07 26477.
 2006 08 60457·
 2006 09 55478.
 2006 10 17470·
 2006 11 38491.
 2006 12 19451·
 2007 01  24487·
 2007 02  56539·
 2007 03  58536.
 2007 04  40531·
 2007 05  31484·
 2007 06  53459·
 2007 07  26440.
 2007 08  94429.
 2007 09  75503·
 2007 10  38553.
 2007 11  4523·
 2007 12  75525.
 2008 01 83562·
 2008 02 68557.
 2008 03 79513·
 2008 04 1497·
 2008 05 4534·
 2008 06 25505.
 2008 07 65521·
 2008 08 16540·
 2008 09 15547.
 2008 10 17515.
 2008 11 0548·
 2008 12 91493·
 2009 01  14577.
 2009 02  73637.
 2009 03  46603·
 2009 04  18626.
 2009 05  29538.
 2009 06  51473.
 2009 07  91501·
 2009 08  17482·
 2009 09  8434·
 2009 10  33512·
 2009 11  49524·
 2009 12  33471·
 2010 01 29564·
 2010 02 25557.
 2010 03 57585.
 2010 04 34567.
 2010 05 90580.
 2010 06 58507·
 2010 07 78436.
 2010 08 15456.
 2010 09 17513·
 2010 10 91547·
 2010 11 0500.
 2010 12 94562·
 2011 01  61584·
 2011 02  3582·
 2011 03  35598·
 2011 04  16577·
 2011 05  98540.
 2011 06  2536.
 2011 07  22571.
 2011 08  50530.
 2011 09  27510·
 2011 10  20534.
 2011 11  24566.
 2011 12  90597.
 2012 01 73574·
 2012 02 12680·
 2012 03 28611·
 2012 04 56593.
 2012 05 88636·
 2012 06 61565.
 2012 07 48483·
 2012 08 90544.
 2012 09 47538.
 2012 10 74585·
 2012 11 21621·
 2012 12 63605.
 2013 01  50533·
 2013 02  81550·
 2013 03  10553.
 2013 04  69567·
 2013 05  22609·
 2013 06  40524.
 2013 07  3494.
 2013 08  27567.
 2013 09  14550.
 2013 10  32618·
 2013 11  13574·
 2013 12  80544·
 2014 01 2565·
 2014 02 65569·
 2014 03 78650·
 2014 04 99681·
 2014 05 85564·
 2014 06 68581·
 2014 07 61505.
 2014 08 77534.
 2014 09 89563.
 2014 10 0598.
 2014 11 49620.
 2014 12 33632.
 2015 01  64549·
 2015 02  42554.
 2015 03  55543.
 2015 04  12576.
 2015 05  87564·
 2015 06  0563·
 2015 07  18564.
 2015 08  82540.
 2015 09  56584·
 2015 10  6643.
 2015 11  1584·
 2015 12  38634·
 2016 01 98559·
 2016 02 17569.
 2016 03 90599.
 2016 04 99569.
 2016 05 63647.
 2016 06 14589·
 2016 07 99547·
 2016 08 9544.
 2016 09 26614·
 2016 10 4636·
 2016 11 67602·
 2016 12 38595.
 2017 01  89537.
 2017 02  19547·
 2017 03  55582·
 2017 04  78562·
 2017 05  75576·
 2017 06  15573·
 2017 07  52537·
 2017 08  50559.
 2017 09  36550·


 2017 10  74548.
 2017 11  71570·
 2017 12  98612·
 2018 01 47529·
 2018 02 3607.
 2018 03 49530·
 2018 04 90558·
 2018 05 8590·
 2018 06 33622.
 2018 07 49634.
 2018 08 22609·
 2018 09 45644.
 2018 10 20652.
 2018 11 60583·
 2018 12 11531·
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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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