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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 56479.
 1994 02 20478·
 1994 03 61394.
 1994 04 2477·
 1994 05 87493.
 1994 06 65482.
 1994 07 84582.
 1994 08 25598·
 1994 09 48419.
 1994 10 70516.
 1994 11 70454.
 1994 12 9478·
 1995 01  87478.
 1995 02  19509·
 1995 03  32452·
 1995 04  98524.
 1995 05  82552.
 1995 06  17555·
 1995 07  9564·
 1995 08  62479·
 1995 09  31506·
 1995 10  95504.
 1995 11  62541.
 1995 12  95594·
 1996 01 61538·
 1996 02 11625.
 1996 03 81511.
 1996 04 15506·
 1996 05 21524·
 1996 06 47533·
 1996 07 77615.
 1996 08 67630.
 1996 09 88633·
 1996 10 8656·
 1996 11 89735.
 1996 12 20687·
 1997 01  62582·
 1997 02  26655.
 1997 03  80643·
 1997 04  68590·
 1997 05  67733.
 1997 06  59676·
 1997 07  38705·
 1997 08  31618·
 1997 09  54634·
 1997 10  87586·
 1997 11  74562.
 1997 12  52693·
 1998 01 0653·
 1998 02 18719.
 1998 03 28617·
 1998 04 0641·
 1998 05 3694·
 1998 06 83652·
 1998 07 63636·
 1998 08 71588·
 1998 09 90634.
 1998 10 38670·
 1998 11 65657.
 1998 12 82715·
 1999 01  11686.
 1999 02  66631.
 1999 03  49659.
 1999 04  78605·
 1999 05  42714·
 1999 06  73709·
 1999 07  51569·
 1999 08  28641·
 1999 09  82654·
 1999 10  90643.
 1999 11  35616.
 1999 12  26698·
 2000 01 57594·
 2000 02 75642.
 2000 03 88599·
 2000 04 92645.
 2000 05 17684.
 2000 06 8559·
 2000 07 25645·
 2000 08 70551.
 2000 09 39645·
 2000 10 97632·
 2000 11 81668.
 2000 12 28594.
 2001 01  21602·
 2001 02  73572.
 2001 03  21643·
 2001 04  61538·
 2001 05  91712·
 2001 06  92697·
 2001 07  33694.
 2001 08  88679·
 2001 09  97601·
 2001 10  38659.
 2001 11  28675·
 2001 12  53652.
 2002 01 16549.
 2002 02 15644·
 2002 03 45590.
 2002 04 25645·
 2002 05 47637·
 2002 06 56670·
 2002 07 48650·
 2002 08 99602.
 2002 09 17675·
 2002 10 17629·
 2002 11 23759.
 2002 12 93716·
 2003 01  76693·
 2003 02  80687.
 2003 03  83581.
 2003 04  52660.
 2003 05  98692.
 2003 06  52687.
 2003 07  68743·
 2003 08  45733.
 2003 09  85700.
 2003 10  64717·
 2003 11  38716·
 2003 12  66696.
 2004 01 61624.
 2004 02 73674.
 2004 03 83648.
 2004 04 33657.
 2004 05 78611·
 2004 06 61695·
 2004 07 16733·
 2004 08 92724·
 2004 09 11742.
 2004 10 34750·
 2004 11 73644·
 2004 12 12722.
 2005 01  59688·
 2005 02  23815·
 2005 03  18722.
 2005 04  86679·
 2005 05  48653.
 2005 06  87619·
 2005 07  40767·
 2005 08  33633.
 2005 09  30747·
 2005 10  5728·
 2005 11  50659·
 2005 12  99671.
 2006 01 78662.
 2006 02 85664.
 2006 03 87704·
 2006 04 51624.
 2006 05 94710·
 2006 06 58658·
 2006 07 13706·
 2006 08 85681·
 2006 09 3745·
 2006 10 81847.
 2006 11 17786.
 2006 12 18795·
 2007 01  55653.
 2007 02  36650.
 2007 03  11571.
 2007 04  96700·
 2007 05  26623·
 2007 06  30600.
 2007 07  34636.
 2007 08  88542.
 2007 09  16581·
 2007 10  93613.
 2007 11  48650·
 2007 12  87598·
 2008 01 50621.
 2008 02 83658.
 2008 03 40564.
 2008 04 13592·
 2008 05 80557·
 2008 06 81619·
 2008 07 25567.
 2008 08 10548·
 2008 09 79618.
 2008 10 94572·
 2008 11 39616·
 2008 12 47562·
 2009 01  49580.
 2009 02  54660·
 2009 03  47579·
 2009 04  18633·
 2009 05  15563.
 2009 06  16562·
 2009 07  34585·
 2009 08  43548.
 2009 09  28612·
 2009 10  64577·
 2009 11  16567·
 2009 12  65528.
 2010 01 62520.
 2010 02 3587·
 2010 03 28508·
 2010 04 54571.
 2010 05 19584.
 2010 06 65604·
 2010 07 35540.
 2010 08 3563.
 2010 09 23603·
 2010 10 6531.
 2010 11 24549·
 2010 12 32567.
 2011 01  25581·
 2011 02  9569.
 2011 03  8511·
 2011 04  86586.
 2011 05  1501.
 2011 06  80534.
 2011 07  25561·
 2011 08  32504·
 2011 09  50559.
 2011 10  51592·
 2011 11  38591.
 2011 12  66537·
 2012 01 98566.
 2012 02 78558.
 2012 03 35489.
 2012 04 7500·
 2012 05 96589·
 2012 06 43535.
 2012 07 28498·
 2012 08 98517.
 2012 09 19538.
 2012 10 52537.
 2012 11 55494.
 2012 12 9481.
 2013 01  67491.
 2013 02  38458·
 2013 03  81528.
 2013 04  33481·
 2013 05  66566·
 2013 06  57554.
 2013 07  91454.
 2013 08  91498·
 2013 09  66477.
 2013 10  90496.
 2013 11  99524·
 2013 12  26524·
 2014 01 43553.
 2014 02 44535·
 2014 03 44527.
 2014 04 7516.
 2014 05 96499·
 2014 06 51517·
 2014 07 88533·
 2014 08 29483.
 2014 09 52521.
 2014 10 67660.
 2014 11 18546·
 2014 12 10565·
 2015 01  60564.
 2015 02  74511.
 2015 03  48549.
 2015 04  95480.
 2015 05  97496·
 2015 06  79460·
 2015 07  16446.
 2015 08  53482.
 2015 09  62530·
 2015 10  14582.
 2015 11  84527.
 2015 12  78546·
 2016 01 80562.
 2016 02 34537·
 2016 03 41503.
 2016 04 89546·
 2016 05 3462·
 2016 06 22461·
 2016 07 99462.
 2016 08 31458·
 2016 09 6595·
 2016 10 84604.
 2016 11 96598·
 2016 12 71529.
 2017 01  88556.
 2017 02  52495·


 2017 03  95444.
 2017 04  6461.
 2017 05  76449.
 2017 06  83525.
 2017 07  85395.
 2017 08  53494.
 2017 09  20421·
 2017 10  57526.
 2017 11  77480·
 2017 12  57531·
 2018 01 95509·
 2018 02 83526.
 2018 03 10496·
 2018 04 87480.
 2018 05 2504·
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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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