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 Series Title: Multiple Jobholders as a Percent of Employed, Never Married 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 01 406·5
 1994 02 37.5
 1994 03 567.0
 1994 04 887.6
 1994 05 157.4
 1994 06 527.5
 1994 07 197.6
 1994 08 627.2
 1994 09 137.2
 1994 10 567.0
 1994 11 396·9
 1994 12 917.3
 1995 01  836.9
 1995 02  967.3
 1995 03  296·9
 1995 04  197.1
 1995 05  27·4
 1995 06  807·7
 1995 07  267·7
 1995 08  167.0
 1995 09  707·1
 1995 10  377.1
 1995 11  957·0
 1995 12  747.6
 1996 01 126·8
 1996 02 267.0
 1996 03 237·4
 1996 04 146·5
 1996 05 786.8
 1996 06 287·6
 1996 07 227.3
 1996 08 806.9
 1996 09 446.7
 1996 10 507.9
 1996 11 307.7
 1996 12 407·9
 1997 01  117.0
 1997 02  237·5
 1997 03  117.3
 1997 04  907.0
 1997 05  37·2
 1997 06  37·4
 1997 07  527.2
 1997 08  476·8
 1997 09  716·6
 1997 10  746·8
 1997 11  677·0
 1997 12  567·4
 1998 01 917·1
 1998 02 407.1
 1998 03 926·6
 1998 04 877·1
 1998 05 636.6
 1998 06 347.1
 1998 07 926·8
 1998 08 346·8
 1998 09 127.1
 1998 10 127·1
 1998 11 537.4
 1998 12 157·7
 1999 01  896·5
 1999 02  576·7
 1999 03  896.9
 1999 04  746·5
 1999 05  697·1
 1999 06  746.3
 1999 07  386.7
 1999 08  826.7
 1999 09  526·3
 1999 10  956·8
 1999 11  626·6
 1999 12  317.1
 2000 01 646.3
 2000 02 786·4
 2000 03 496·6
 2000 04 426·3
 2000 05 556.5
 2000 06 36.6
 2000 07 137.2
 2000 08 586.4
 2000 09 16.3
 2000 10 776.7
 2000 11 916.8
 2000 12 486.8
 2001 01  26.0
 2001 02  326·2
 2001 03  466.1
 2001 04  75·6
 2001 05  836.2
 2001 06  256·6
 2001 07  677.0
 2001 08  546.3
 2001 09  955.9
 2001 10  376.2
 2001 11  656·0
 2001 12  336.2
 2002 01 146·0
 2002 02 746·9
 2002 03 786·7
 2002 04 136·5
 2002 05 396·1
 2002 06 696.4
 2002 07 716·7
 2002 08 876·0
 2002 09 955.7
 2002 10 796·5
 2002 11 306.4
 2002 12 766·8
 2003 01  356.1
 2003 02  846·5
 2003 03  685.9
 2003 04  246.2
 2003 05  326.4
 2003 06  916·6
 2003 07  246.3
 2003 08  996.6
 2003 09  876·4
 2003 10  326·5
 2003 11  596.7
 2003 12  966.7
 2004 01 255.7
 2004 02 646.3
 2004 03 635.9
 2004 04 336·1
 2004 05 986.7
 2004 06 697·1
 2004 07 486.8
 2004 08 566·2
 2004 09 806.5
 2004 10 526.7
 2004 11 525.9
 2004 12 336.3
 2005 01  715.8
 2005 02  466·2
 2005 03  386.6
 2005 04  586·1
 2005 05  986·4
 2005 06  76.9
 2005 07  936.7
 2005 08  505·9
 2005 09  106·3
 2005 10  176·3
 2005 11  316.6
 2005 12  546.8
 2006 01 836·1
 2006 02 826.2
 2006 03 896·5
 2006 04 396·4
 2006 05 177.1
 2006 06 356·4
 2006 07 316·9
 2006 08 986.2
 2006 09 386.7
 2006 10 316.4
 2006 11 436·7
 2006 12 526·2
 2007 01  966.4
 2007 02  536·6
 2007 03  406·5
 2007 04  446·1
 2007 05  666.4
 2007 06  66·4
 2007 07  596.4
 2007 08  435·8
 2007 09  496.0
 2007 10  246·2
 2007 11  636·3
 2007 12  436·1
 2008 01 715·9
 2008 02 626·1
 2008 03 395·9
 2008 04 645·7
 2008 05 816.0
 2008 06 26·4
 2008 07 26.2
 2008 08 495.9
 2008 09 555·4
 2008 10 505·9
 2008 11 886.2
 2008 12 685·7
 2009 01  935·9
 2009 02  396.0
 2009 03  606.3
 2009 04  166.6
 2009 05  216.3
 2009 06  246·2
 2009 07  66.5
 2009 08  106·0
 2009 09  905·8
 2009 10  895.9
 2009 11  406·4
 2009 12  966·2
 2010 01 745.8
 2010 02 386.0
 2010 03 995.6
 2010 04 425.9
 2010 05 736·6
 2010 06 46.7
 2010 07 466.4
 2010 08 425.6
 2010 09 156·2
 2010 10 446·2
 2010 11 696.3
 2010 12 166.4
 2011 01  475.7
 2011 02  385·7
 2011 03  815.2
 2011 04  86·1
 2011 05  476·1
 2011 06  956.3
 2011 07  195·8
 2011 08  875.8
 2011 09  156·1
 2011 10  456·4
 2011 11  476·2
 2011 12  476.0
 2012 01 756·0
 2012 02 456·2
 2012 03 536.0
 2012 04 85·5
 2012 05 795·9
 2012 06 765.8
 2012 07 495.9
 2012 08 125.7
 2012 09 25.5
 2012 10 465.6
 2012 11 736.0
 2012 12 306·4
 2013 01  436·1
 2013 02  866·8
 2013 03  886.5
 2013 04  565·9
 2013 05  296·0
 2013 06  535·7
 2013 07  825.9
 2013 08  95.6
 2013 09  105·8
 2013 10  276.2
 2013 11  686.2
 2013 12  326·8
 2014 01 616·0
 2014 02 176.0
 2014 03 846.0
 2014 04 965.9
 2014 05 825·9
 2014 06 535·8
 2014 07 935·5
 2014 08 935·8
 2014 09 06·1
 2014 10 926·9
 2014 11 826·6
 2014 12 456.8
 2015 01  646.7
 2015 02  166.1
 2015 03  656.1
 2015 04  935·8
 2015 05  505.9
 2015 06  326·0
 2015 07  795·6
 2015 08  85.8
 2015 09  586.1
 2015 10  706·3
 2015 11  886·8
 2015 12  846·9
 2016 01 146·3
 2016 02 886.6
 2016 03 786.2
 2016 04 406.0
 2016 05 685.8
 2016 06 685·9
 2016 07 646.1
 2016 08 206·1
 2016 09 956·9
 2016 10 166·8
 2016 11 837·2
 2016 12 936.5
 2017 01  965·9
 2017 02  636.6
 2017 03  976.6
 2017 04  546·2
 2017 05  965.5
 2017 06  676·0


 2017 07  955.7
 2017 08  215.1
 2017 09  455·3
 2017 10  85·6
 2017 11  906·1
 2017 12  396·3
 2018 01 206·2
 2018 02 946·4
 2018 03 195·8
 2018 04 765·9
 2018 05 195.7
 2018 06 566.0
 2018 07 466.5
 2018 08 276·1
 2018 09 706·0
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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, Never Married 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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