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 Series Title: Multiple Jobholders, Hours Vary On Primary Or Secondary Job, Women: NSA
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 1994 01 35479.
 1994 02 49478·
 1994 03 1394·
 1994 04 88477·
 1994 05 31493.
 1994 06 51482·
 1994 07 75582.
 1994 08 56598.
 1994 09 30419.
 1994 10 89516·
 1994 11 87454.
 1994 12 60478.
 1995 01  83478·
 1995 02  45509.
 1995 03  50452.
 1995 04  44524·
 1995 05  66552.
 1995 06  25555.
 1995 07  3564·
 1995 08  78479·
 1995 09  79506·
 1995 10  62504.
 1995 11  8541·
 1995 12  55594·
 1996 01 48538·
 1996 02 10625.
 1996 03 53511·
 1996 04 96506·
 1996 05 22524.
 1996 06 53533·
 1996 07 50615.
 1996 08 43630·
 1996 09 77633·
 1996 10 96656·
 1996 11 38735.
 1996 12 66687·
 1997 01  14582·
 1997 02  72655.
 1997 03  80643.
 1997 04  59590·
 1997 05  58733.
 1997 06  37676·
 1997 07  64705·
 1997 08  41618·
 1997 09  60634.
 1997 10  73586·
 1997 11  2562·
 1997 12  57693·
 1998 01 94653·
 1998 02 86719.
 1998 03 32617·
 1998 04 75641.
 1998 05 61694·
 1998 06 9652·
 1998 07 18636.
 1998 08 91588.
 1998 09 86634.
 1998 10 97670.
 1998 11 46657.
 1998 12 22715·
 1999 01  21686·
 1999 02  32631.
 1999 03  31659·
 1999 04  13605.
 1999 05  40714·
 1999 06  21709·
 1999 07  9569.
 1999 08  33641.
 1999 09  44654·
 1999 10  95643·
 1999 11  44616.
 1999 12  76698.
 2000 01 57594.
 2000 02 12642.
 2000 03 24599.
 2000 04 62645.
 2000 05 32684·
 2000 06 53559.
 2000 07 62645.
 2000 08 34551·
 2000 09 42645·
 2000 10 24632·
 2000 11 94668.
 2000 12 62594·
 2001 01  88602·
 2001 02  58572.
 2001 03  86643·
 2001 04  40538·
 2001 05  96712·
 2001 06  10697.
 2001 07  23694.
 2001 08  87679·
 2001 09  16601.
 2001 10  63659·
 2001 11  20675.
 2001 12  47652·
 2002 01 24549.
 2002 02 22644·
 2002 03 13590.
 2002 04 89645·
 2002 05 19637·
 2002 06 21670·
 2002 07 66650.
 2002 08 8602.
 2002 09 27675·
 2002 10 14629.
 2002 11 68759.
 2002 12 22716·
 2003 01  99693.
 2003 02  85687.
 2003 03  30581.
 2003 04  76660.
 2003 05  11692.
 2003 06  39687.
 2003 07  90743·
 2003 08  39733.
 2003 09  61700.
 2003 10  9717·
 2003 11  12716.
 2003 12  4696·
 2004 01 76624.
 2004 02 50674.
 2004 03 83648·
 2004 04 92657·
 2004 05 7611.
 2004 06 45695.
 2004 07 17733.
 2004 08 46724·
 2004 09 28742.
 2004 10 1750.
 2004 11 50644·
 2004 12 35722·
 2005 01  40688·
 2005 02  48815.
 2005 03  47722.
 2005 04  54679·
 2005 05  68653·
 2005 06  43619·
 2005 07  94767·
 2005 08  22633·
 2005 09  63747.
 2005 10  69728.
 2005 11  6659·
 2005 12  82671·
 2006 01 0662.
 2006 02 31664·
 2006 03 19704.
 2006 04 4624.
 2006 05 80710·
 2006 06 62658·
 2006 07 96706·
 2006 08 83681·
 2006 09 27745·
 2006 10 18847.
 2006 11 26786·
 2006 12 36795·
 2007 01  93653·
 2007 02  80650.
 2007 03  22571·
 2007 04  9700.
 2007 05  53623·
 2007 06  56600.
 2007 07  20636.
 2007 08  71542.
 2007 09  6581.
 2007 10  77613.
 2007 11  85650.
 2007 12  15598.
 2008 01 79621.
 2008 02 99658·
 2008 03 4564.
 2008 04 61592·
 2008 05 22557.
 2008 06 4619.
 2008 07 90567.
 2008 08 53548·
 2008 09 10618·
 2008 10 0572.
 2008 11 81616.
 2008 12 60562·
 2009 01  44580.
 2009 02  17660·
 2009 03  39579.
 2009 04  76633.
 2009 05  49563.
 2009 06  12562.
 2009 07  53585.
 2009 08  20548·
 2009 09  75612.
 2009 10  67577.
 2009 11  35567.
 2009 12  37528.
 2010 01 98520·
 2010 02 88587·
 2010 03 24508.
 2010 04 96571·
 2010 05 18584·
 2010 06 7604.
 2010 07 82540.
 2010 08 90563·
 2010 09 61603·
 2010 10 82531.
 2010 11 97549.
 2010 12 40567·
 2011 01  77581.
 2011 02  92569·
 2011 03  83511·
 2011 04  88586·
 2011 05  41501.
 2011 06  46534·
 2011 07  76561.
 2011 08  4504·
 2011 09  54559.
 2011 10  74592.
 2011 11  40591·
 2011 12  83537·
 2012 01 41566.
 2012 02 33558·
 2012 03 62489·
 2012 04 44500·
 2012 05 53589.
 2012 06 5535.
 2012 07 57498·
 2012 08 30517.
 2012 09 64538·
 2012 10 97537.
 2012 11 61494.
 2012 12 10481.
 2013 01  76491.
 2013 02  40458·
 2013 03  37528.
 2013 04  80481·
 2013 05  14566.
 2013 06  91554.
 2013 07  74454.
 2013 08  58498·
 2013 09  28477·
 2013 10  32496.
 2013 11  83524·
 2013 12  87524.
 2014 01 93553.
 2014 02 68535.
 2014 03 4527·
 2014 04 39516.
 2014 05 10499.
 2014 06 33517.
 2014 07 99533·
 2014 08 5483·
 2014 09 4521·
 2014 10 81660.
 2014 11 55546.
 2014 12 6565·
 2015 01  26564·
 2015 02  96511·
 2015 03  87549·
 2015 04  86480.
 2015 05  51496.
 2015 06  83460.
 2015 07  31446·
 2015 08  14482·
 2015 09  80530·
 2015 10  75582·
 2015 11  50527·
 2015 12  84546.
 2016 01 37562·
 2016 02 28537·
 2016 03 33503.
 2016 04 15546.
 2016 05 74462.
 2016 06 23461·
 2016 07 92462.
 2016 08 51458·
 2016 09 65595·
 2016 10 68604·
 2016 11 66598·
 2016 12 62529.
 2017 01  11556.
 2017 02  93495·
 2017 03  16444.
 2017 04  41461·
 2017 05  38449·
 2017 06  56525·
 2017 07  31395·
 2017 08  9494·
 2017 09  95421.


 2017 10  39526.
 2017 11  25480.
 2017 12  8531·
 2018 01 59509.
 2018 02 47526.
 2018 03 34496.
 2018 04 7480.
 2018 05 29504·
 2018 06 12513·
 2018 07 21534·
 2018 08 3539·
 2018 09 31525·
 2018 10 92534.
 2018 11 76452.
 2018 12 12504·
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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

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