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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 01 815.6
 1994 02 836·0
 1994 03 185·9
 1994 04 726.2
 1994 05 535·9
 1994 06 715.7
 1994 07 375·8
 1994 08 955.5
 1994 09 666·0
 1994 10 326.1
 1994 11 325·9
 1994 12 916·1
 1995 01  715·8
 1995 02  496·3
 1995 03  166.3
 1995 04  56·3
 1995 05  436.5
 1995 06  276·1
 1995 07  265.9
 1995 08  55.9
 1995 09  826.1
 1995 10  996.3
 1995 11  266·1
 1995 12  876·4
 1996 01 155.9
 1996 02 216·4
 1996 03 36.5
 1996 04 695·8
 1996 05 906·0
 1996 06 746·0
 1996 07 715.9
 1996 08 965·9
 1996 09 846.1
 1996 10 666·7
 1996 11 676·8
 1996 12 366·6
 1997 01  986·0
 1997 02  286.4
 1997 03  546.4
 1997 04  846·3
 1997 05  566·4
 1997 06  166·2
 1997 07  206·1
 1997 08  585.8
 1997 09  86·0
 1997 10  136.3
 1997 11  786·3
 1997 12  36·4
 1998 01 316.2
 1998 02 246·2
 1998 03 666·3
 1998 04 896·2
 1998 05 256.1
 1998 06 825·9
 1998 07 465.8
 1998 08 85·7
 1998 09 146.1
 1998 10 436.5
 1998 11 86·5
 1998 12 816·6
 1999 01  506·1
 1999 02  896·1
 1999 03  626.1
 1999 04  525.9
 1999 05  86·1
 1999 06  265·5
 1999 07  485·6
 1999 08  895.5
 1999 09  885·9
 1999 10  876.0
 1999 11  296·2
 1999 12  876.4
 2000 01 165·7
 2000 02 275.9
 2000 03 915.9
 2000 04 655·8
 2000 05 415.8
 2000 06 285.4
 2000 07 495·6
 2000 08 675·2
 2000 09 405·6
 2000 10 985·6
 2000 11 395.7
 2000 12 625.9
 2001 01  135·5
 2001 02  675.7
 2001 03  255.8
 2001 04  445·4
 2001 05  855·7
 2001 06  925·5
 2001 07  955·6
 2001 08  335·2
 2001 09  65.4
 2001 10  565·4
 2001 11  625.5
 2001 12  725.6
 2002 01 535.3
 2002 02 645.9
 2002 03 635.7
 2002 04 325·5
 2002 05 245·5
 2002 06 485·4
 2002 07 625.5
 2002 08 55.3
 2002 09 475·5
 2002 10 655·6
 2002 11 455·8
 2002 12 115.9
 2003 01  705.7
 2003 02  965·9
 2003 03  275.6
 2003 04  945.3
 2003 05  705.4
 2003 06  495·5
 2003 07  465.4
 2003 08  245·4
 2003 09  475.6
 2003 10  545.8
 2003 11  635·7
 2003 12  945.7
 2004 01 265·5
 2004 02 695.6
 2004 03 665·7
 2004 04 245·5
 2004 05 585·6
 2004 06 755.6
 2004 07 705.6
 2004 08 575·4
 2004 09 185.7
 2004 10 785.9
 2004 11 115·6
 2004 12 645·8
 2005 01  65.5
 2005 02  115·8
 2005 03  535.8
 2005 04  375.6
 2005 05  485·5
 2005 06  305·6
 2005 07  835·5
 2005 08  965·2
 2005 09  955.7
 2005 10  165.7
 2005 11  155.6
 2005 12  865·8
 2006 01 215.5
 2006 02 765·6
 2006 03 855.7
 2006 04 765·4
 2006 05 275·7
 2006 06 435·1
 2006 07 585·4
 2006 08 585·4
 2006 09 385.9
 2006 10 725·8
 2006 11 216.0
 2006 12 545·9
 2007 01  55·6
 2007 02  455.7
 2007 03  865.7
 2007 04  75.8
 2007 05  35·7
 2007 06  695·5
 2007 07  925·6
 2007 08  855.2
 2007 09  335·6
 2007 10  765.7
 2007 11  25·8
 2007 12  845.6
 2008 01 205·5
 2008 02 215·8
 2008 03 45.6
 2008 04 225.5
 2008 05 155·6
 2008 06 885·6
 2008 07 105·5
 2008 08 435·4
 2008 09 925·5
 2008 10 815·7
 2008 11 585.6
 2008 12 175.4
 2009 01  525·5
 2009 02  346.0
 2009 03  116.0
 2009 04  376.0
 2009 05  215·6
 2009 06  25.4
 2009 07  585·7
 2009 08  245·4
 2009 09  485.6
 2009 10  685·5
 2009 11  105.7
 2009 12  205·4
 2010 01 105·4
 2010 02 375·6
 2010 03 75·4
 2010 04 965·5
 2010 05 75.6
 2010 06 435·2
 2010 07 105·2
 2010 08 455·0
 2010 09 635.4
 2010 10 405.5
 2010 11 85·5
 2010 12 865·5
 2011 01  305·3
 2011 02  115·4
 2011 03  135.3
 2011 04  645·4
 2011 05  845·5
 2011 06  635·3
 2011 07  645·1
 2011 08  475.1
 2011 09  235·4
 2011 10  275.4
 2011 11  235.4
 2011 12  315·3
 2012 01 745.2
 2012 02 595.5
 2012 03 795·4
 2012 04 335·1
 2012 05 875.3
 2012 06 425·1
 2012 07 435.0
 2012 08 994·9
 2012 09 375.0
 2012 10 835.3
 2012 11 555.4
 2012 12 965.3
 2013 01  255.2
 2013 02  115·6
 2013 03  765.4
 2013 04  205·2
 2013 05  775.2
 2013 06  865·0
 2013 07  954·9
 2013 08  905.0
 2013 09  425·0
 2013 10  875·3
 2013 11  255.3
 2013 12  495·4
 2014 01 965.1
 2014 02 225.4
 2014 03 35·4
 2014 04 675·3
 2014 05 405·3
 2014 06 225·0
 2014 07 934·9
 2014 08 395·0
 2014 09 985·3
 2014 10 435·7
 2014 11 825·6
 2014 12 825.5
 2015 01  215.4
 2015 02  695·2
 2015 03  845·3
 2015 04  415·3
 2015 05  855·2
 2015 06  55·1
 2015 07  354·9
 2015 08  864.9
 2015 09  905.4
 2015 10  825·5
 2015 11  05·5
 2015 12  105.7
 2016 01 615·3
 2016 02 585·5
 2016 03 655·5
 2016 04 335·3
 2016 05 495.4
 2016 06 145.1
 2016 07 455·2
 2016 08 995.2
 2016 09 295·8
 2016 10 575·8
 2016 11 766.0
 2016 12 775·7
 2017 01  25.3
 2017 02  185·6
 2017 03  215·6
 2017 04  615.3
 2017 05  925·2
 2017 06  555·1
 2017 07  695.0
 2017 08  704.8
 2017 09  515·1


 2017 10  475·2
 2017 11  335·6
 2017 12  485.6
 2018 01 545.3
 2018 02 45·5
 2018 03 495·2
 2018 04 655·2
 2018 05 05.1
 2018 06 555·2
 2018 07 825.6
 2018 08 155.4
 2018 09 165.4
 2018 10 585·6
 2018 11 195·5
 2018 12 165·5
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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
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