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 Series Title: Multiple Jobholders as a Percent of Employed, 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 01 765·6
 1994 02 246.0
 1994 03 565·9
 1994 04 576.2
 1994 05 355·9
 1994 06 995.7
 1994 07 635.8
 1994 08 675.5
 1994 09 366.0
 1994 10 486·1
 1994 11 455.9
 1994 12 516.1
 1995 01  285·8
 1995 02  526·3
 1995 03  166.3
 1995 04  526·3
 1995 05  876.5
 1995 06  186·1
 1995 07  145·9
 1995 08  405.9
 1995 09  146·1
 1995 10  786.3
 1995 11  16·1
 1995 12  106.4
 1996 01 345.9
 1996 02 876.4
 1996 03 666.5
 1996 04 795·8
 1996 05 976·0
 1996 06 286.0
 1996 07 215·9
 1996 08 935.9
 1996 09 796·1
 1996 10 76.7
 1996 11 56·8
 1996 12 216·6
 1997 01  806·0
 1997 02  566.4
 1997 03  796·4
 1997 04  566·3
 1997 05  256.4
 1997 06  326.2
 1997 07  336.1
 1997 08  185·8
 1997 09  656·0
 1997 10  166·3
 1997 11  796·3
 1997 12  516·4
 1998 01 766.2
 1998 02 156·2
 1998 03 546.3
 1998 04 246·2
 1998 05 576·1
 1998 06 615.9
 1998 07 225.8
 1998 08 315·7
 1998 09 346.1
 1998 10 96.5
 1998 11 716·5
 1998 12 916·6
 1999 01  576·1
 1999 02  436·1
 1999 03  136·1
 1999 04  495.9
 1999 05  36·1
 1999 06  685.5
 1999 07  865·6
 1999 08  745·5
 1999 09  705·9
 1999 10  156.0
 1999 11  546·2
 1999 12  596.4
 2000 01 855.7
 2000 02 435·9
 2000 03 45·9
 2000 04 255.8
 2000 05 985.8
 2000 06 325·4
 2000 07 495·6
 2000 08 145·2
 2000 09 855.6
 2000 10 895·6
 2000 11 275·7
 2000 12 975·9
 2001 01  455.5
 2001 02  465.7
 2001 03  15.8
 2001 04  665.4
 2001 05  45·7
 2001 06  595·5
 2001 07  585·6
 2001 08  435·2
 2001 09  135.4
 2001 10  105·4
 2001 11  135·5
 2001 12  705.6
 2002 01 475·3
 2002 02 55·9
 2002 03 15.7
 2002 04 175.5
 2002 05 65·5
 2002 06 775·4
 2002 07 875.5
 2002 08 775.3
 2002 09 165.5
 2002 10 815·6
 2002 11 595.8
 2002 12 715·9
 2003 01  275·7
 2003 02  05.9
 2003 03  285.6
 2003 04  425.3
 2003 05  145.4
 2003 06  405·5
 2003 07  345.4
 2003 08  595.4
 2003 09  795·6
 2003 10  335.8
 2003 11  385·7
 2003 12  165.7
 2004 01 455·5
 2004 02 355.6
 2004 03 295·7
 2004 04 345·5
 2004 05 655.6
 2004 06 285.6
 2004 07 215·6
 2004 08 555.4
 2004 09 125·7
 2004 10 195.9
 2004 11 495·6
 2004 12 485·8
 2005 01  885.5
 2005 02  395·8
 2005 03  795.8
 2005 04  95·6
 2005 05  175.5
 2005 06  465.6
 2005 07  965.5
 2005 08  565·2
 2005 09  515.7
 2005 10  205·7
 2005 11  155.6
 2005 12  345·8
 2006 01 655.5
 2006 02 685·6
 2006 03 735.7
 2006 04 115·4
 2006 05 585.7
 2006 06 225.1
 2006 07 335·4
 2006 08 815.4
 2006 09 575.9
 2006 10 385·8
 2006 11 846.0
 2006 12 645·9
 2007 01  125.6
 2007 02  995·7
 2007 03  375·7
 2007 04  45·8
 2007 05  985.7
 2007 06  105.5
 2007 07  315·6
 2007 08  705.2
 2007 09  155·6
 2007 10  45.7
 2007 11  285·8
 2007 12  565.6
 2008 01 905.5
 2008 02 375.8
 2008 03 175·6
 2008 04 815·5
 2008 05 715·6
 2008 06 915·6
 2008 07 105·5
 2008 08 905·4
 2008 09 365·5
 2008 10 725.7
 2008 11 465·6
 2008 12 525·4
 2009 01  845.5
 2009 02  136.0
 2009 03  876.0
 2009 04  606·0
 2009 05  405·6
 2009 06  685.4
 2009 07  215·7
 2009 08  345·4
 2009 09  555·6
 2009 10  225.5
 2009 11  615·7
 2009 12  185·4
 2010 01 45.4
 2010 02 795.6
 2010 03 455·4
 2010 04 815·5
 2010 05 885.6
 2010 06 715·2
 2010 07 365·2
 2010 08 175·0
 2010 09 335·4
 2010 10 565.5
 2010 11 215.5
 2010 12 465.5
 2011 01  875.3
 2011 02  155.4
 2011 03  145.3
 2011 04  115·4
 2011 05  285·5
 2011 06  545·3
 2011 07  525.1
 2011 08  825.1
 2011 09  555.4
 2011 10  55.4
 2011 11  995.4
 2011 12  535.3
 2012 01 935.2
 2012 02 265.5
 2012 03 425·4
 2012 04 435·1
 2012 05 945.3
 2012 06 965·1
 2012 07 945·0
 2012 08 964.9
 2012 09 325·0
 2012 10 245·3
 2012 11 935.4
 2012 12 815.3
 2013 01  75.2
 2013 02  405·6
 2013 03  15.4
 2013 04  935.2
 2013 05  465·2
 2013 06  25.0
 2013 07  84·9
 2013 08  505·0
 2013 09  995·0
 2013 10  905.3
 2013 11  255.3
 2013 12  975.4
 2014 01 405·1
 2014 02 135.4
 2014 03 915·4
 2014 04 25.3
 2014 05 715.3
 2014 06 05.0
 2014 07 694·9
 2014 08 615.0
 2014 09 175·3
 2014 10 105.7
 2014 11 455·6
 2014 12 925.5
 2015 01  285.4
 2015 02  235·2
 2015 03  345.3
 2015 04  395·3
 2015 05  795.2
 2015 06  465.1
 2015 07  734·9
 2015 08  714·9
 2015 09  725.4
 2015 10  115.5
 2015 11  265.5
 2015 12  835.7
 2016 01 315.3
 2016 02 745.5
 2016 03 795·5
 2016 04 935.3
 2016 05 65.4
 2016 06 185·1
 2016 07 455·2
 2016 08 475·2
 2016 09 745·8
 2016 10 485·8
 2016 11 646·0
 2016 12 125.7
 2017 01  345·3
 2017 02  975.6


 2017 03  975.6
 2017 04  835·3
 2017 05  125·2
 2017 06  215·1
 2017 07  325.0
 2017 08  804·8
 2017 09  585·1
 2017 10  15·2
 2017 11  835.6
 2017 12  465·6
 2018 01 485.3
 2018 02 455·5
 2018 03 885.2
 2018 04 505.2
 2018 05 825.1
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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 as a Percent of Employed, 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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