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 Series Title: Multiple Jobholders, Hours Vary On Primary Or Secondary Job, 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 95479·
 1994 02 69478.
 1994 03 46394.
 1994 04 74477.
 1994 05 23493.
 1994 06 65482·
 1994 07 77582.
 1994 08 61598·
 1994 09 4419·
 1994 10 48516.
 1994 11 96454.
 1994 12 35478·
 1995 01  89478·
 1995 02  99509.
 1995 03  16452·
 1995 04  39524·
 1995 05  54552·
 1995 06  23555.
 1995 07  76564.
 1995 08  42479·
 1995 09  99506.
 1995 10  54504·
 1995 11  38541·
 1995 12  39594·
 1996 01 50538.
 1996 02 47625.
 1996 03 90511·
 1996 04 49506·
 1996 05 56524.
 1996 06 84533.
 1996 07 44615.
 1996 08 15630.
 1996 09 94633.
 1996 10 72656.
 1996 11 40735·
 1996 12 8687.
 1997 01  63582.
 1997 02  43655.
 1997 03  39643.
 1997 04  20590·
 1997 05  89733·
 1997 06  52676.
 1997 07  29705·
 1997 08  72618.
 1997 09  22634·
 1997 10  83586·
 1997 11  24562·
 1997 12  8693·
 1998 01 38653·
 1998 02 41719.
 1998 03 61617.
 1998 04 96641.
 1998 05 37694.
 1998 06 57652·
 1998 07 4636·
 1998 08 30588·
 1998 09 45634.
 1998 10 90670.
 1998 11 40657·
 1998 12 31715·
 1999 01  12686.
 1999 02  19631·
 1999 03  81659·
 1999 04  41605.
 1999 05  13714·
 1999 06  53709·
 1999 07  67569·
 1999 08  31641·
 1999 09  48654.
 1999 10  22643.
 1999 11  59616·
 1999 12  94698.
 2000 01 44594·
 2000 02 84642·
 2000 03 46599·
 2000 04 49645.
 2000 05 50684.
 2000 06 19559.
 2000 07 40645.
 2000 08 41551.
 2000 09 42645·
 2000 10 35632·
 2000 11 80668.
 2000 12 39594·
 2001 01  21602·
 2001 02  63572.
 2001 03  28643.
 2001 04  36538.
 2001 05  11712·
 2001 06  59697.
 2001 07  73694·
 2001 08  53679.
 2001 09  63601·
 2001 10  6659·
 2001 11  26675.
 2001 12  32652.
 2002 01 52549·
 2002 02 11644·
 2002 03 27590.
 2002 04 44645·
 2002 05 80637.
 2002 06 4670·
 2002 07 37650·
 2002 08 82602.
 2002 09 70675·
 2002 10 42629·
 2002 11 45759·
 2002 12 66716·
 2003 01  74693.
 2003 02  7687·
 2003 03  64581.
 2003 04  39660·
 2003 05  68692·
 2003 06  6687·
 2003 07  32743·
 2003 08  71733.
 2003 09  50700.
 2003 10  70717·
 2003 11  11716·
 2003 12  56696·
 2004 01 47624·
 2004 02 56674.
 2004 03 89648.
 2004 04 14657.
 2004 05 10611.
 2004 06 45695.
 2004 07 79733·
 2004 08 87724·
 2004 09 13742·
 2004 10 45750.
 2004 11 20644·
 2004 12 46722·
 2005 01  57688·
 2005 02  87815.
 2005 03  74722.
 2005 04  85679.
 2005 05  67653·
 2005 06  27619.
 2005 07  28767.
 2005 08  22633·
 2005 09  94747.
 2005 10  47728·
 2005 11  97659·
 2005 12  1671·
 2006 01 13662·
 2006 02 54664·
 2006 03 17704.
 2006 04 93624·
 2006 05 25710·
 2006 06 79658.
 2006 07 51706.
 2006 08 91681·
 2006 09 55745.
 2006 10 79847·
 2006 11 88786.
 2006 12 14795·
 2007 01  52653.
 2007 02  36650·
 2007 03  41571.
 2007 04  7700·
 2007 05  94623.
 2007 06  57600·
 2007 07  47636.
 2007 08  38542.
 2007 09  80581.
 2007 10  72613.
 2007 11  68650.
 2007 12  2598.
 2008 01 35621·
 2008 02 39658.
 2008 03 94564.
 2008 04 17592.
 2008 05 10557·
 2008 06 39619·
 2008 07 37567·
 2008 08 28548·
 2008 09 80618.
 2008 10 79572·
 2008 11 35616·
 2008 12 5562.
 2009 01  46580·
 2009 02  90660.
 2009 03  50579.
 2009 04  40633·
 2009 05  32563·
 2009 06  30562.
 2009 07  71585.
 2009 08  54548·
 2009 09  91612·
 2009 10  79577·
 2009 11  11567·
 2009 12  91528·
 2010 01 96520.
 2010 02 45587.
 2010 03 6508·
 2010 04 19571.
 2010 05 48584·
 2010 06 59604·
 2010 07 21540·
 2010 08 33563.
 2010 09 73603.
 2010 10 78531·
 2010 11 44549.
 2010 12 52567.
 2011 01  21581·
 2011 02  83569·
 2011 03  86511·
 2011 04  20586·
 2011 05  67501·
 2011 06  81534·
 2011 07  86561·
 2011 08  6504·
 2011 09  12559·
 2011 10  4592.
 2011 11  7591.
 2011 12  4537.
 2012 01 81566.
 2012 02 7558·
 2012 03 37489·
 2012 04 34500.
 2012 05 25589·
 2012 06 74535·
 2012 07 88498.
 2012 08 39517·
 2012 09 18538.
 2012 10 11537·
 2012 11 99494·
 2012 12 90481·
 2013 01  62491·
 2013 02  48458.
 2013 03  33528·
 2013 04  79481·
 2013 05  82566.
 2013 06  44554·
 2013 07  76454.
 2013 08  26498·
 2013 09  28477·
 2013 10  79496.
 2013 11  43524.
 2013 12  75524.
 2014 01 75553.
 2014 02 60535.
 2014 03 71527.
 2014 04 96516.
 2014 05 24499·
 2014 06 19517.
 2014 07 23533.
 2014 08 82483.
 2014 09 0521·
 2014 10 12660.
 2014 11 86546·
 2014 12 53565.
 2015 01  54564·
 2015 02  21511·
 2015 03  75549·
 2015 04  52480.
 2015 05  62496.
 2015 06  53460·
 2015 07  26446·
 2015 08  50482.
 2015 09  22530·
 2015 10  39582.
 2015 11  2527.
 2015 12  39546.
 2016 01 61562·
 2016 02 37537.
 2016 03 92503·
 2016 04 40546.
 2016 05 30462.
 2016 06 27461·
 2016 07 8462.
 2016 08 96458.
 2016 09 3595·
 2016 10 16604.
 2016 11 89598.
 2016 12 76529·
 2017 01  82556.
 2017 02  36495·
 2017 03  96444·
 2017 04  75461.


 2017 05  90449·
 2017 06  43525·
 2017 07  18395.
 2017 08  11494.
 2017 09  80421.
 2017 10  20526.
 2017 11  69480·
 2017 12  30531·
 2018 01 25509.
 2018 02 73526·
 2018 03 85496·
 2018 04 99480.
 2018 05 28504·
 2018 06 33513·
 2018 07 30534.
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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: Multiple Jobholders, Hours Vary On Primary Or Secondary Job, 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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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