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 Series Title: Multiple Jobholders as a Percent of Employed, 20 years and over, 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 01 715.7
 1994 02 366·0
 1994 03 715.9
 1994 04 406.2
 1994 05 335·9
 1994 06 415.6
 1994 07 585·7
 1994 08 75.4
 1994 09 926.0
 1994 10 766.1
 1994 11 775·9
 1994 12 46.1
 1995 01  05.8
 1995 02  226.4
 1995 03  426.4
 1995 04  766.3
 1995 05  316.4
 1995 06  866.0
 1995 07  895.8
 1995 08  905·8
 1995 09  866·1
 1995 10  996.3
 1995 11  836·2
 1995 12  426·5
 1996 01 895·9
 1996 02 196·5
 1996 03 106.6
 1996 04 515·9
 1996 05 936.0
 1996 06 275.9
 1996 07 835·7
 1996 08 605.8
 1996 09 716·2
 1996 10 296.8
 1996 11 426.9
 1996 12 386.6
 1997 01  256·0
 1997 02  586.5
 1997 03  476.5
 1997 04  816·3
 1997 05  796·4
 1997 06  706·1
 1997 07  886.0
 1997 08  75·7
 1997 09  856.1
 1997 10  466·4
 1997 11  776·4
 1997 12  606·4
 1998 01 176.3
 1998 02 936·3
 1998 03 526.3
 1998 04 96.2
 1998 05 766.1
 1998 06 425.8
 1998 07 765·8
 1998 08 485·6
 1998 09 876.2
 1998 10 526·6
 1998 11 376.6
 1998 12 986·6
 1999 01  16·2
 1999 02  26.2
 1999 03  486·2
 1999 04  16·0
 1999 05  936.2
 1999 06  05.5
 1999 07  465·5
 1999 08  275.4
 1999 09  635.9
 1999 10  776.1
 1999 11  956.2
 1999 12  696.4
 2000 01 375·8
 2000 02 915·9
 2000 03 825·9
 2000 04 495·8
 2000 05 665.8
 2000 06 225·3
 2000 07 205.4
 2000 08 85·1
 2000 09 245.6
 2000 10 775·7
 2000 11 485·7
 2000 12 176·0
 2001 01  125.5
 2001 02  885·8
 2001 03  285·8
 2001 04  695·5
 2001 05  555.7
 2001 06  115.4
 2001 07  475·4
 2001 08  845.2
 2001 09  45·4
 2001 10  295·4
 2001 11  205.6
 2001 12  65.6
 2002 01 355.4
 2002 02 485.9
 2002 03 835·7
 2002 04 45·6
 2002 05 475.5
 2002 06 995·4
 2002 07 05.4
 2002 08 725.2
 2002 09 665·6
 2002 10 395·6
 2002 11 595.9
 2002 12 306.0
 2003 01  425.7
 2003 02  496.0
 2003 03  725·6
 2003 04  215·4
 2003 05  515.5
 2003 06  385·4
 2003 07  775.3
 2003 08  145.3
 2003 09  935.6
 2003 10  355·7
 2003 11  385.6
 2003 12  45·7
 2004 01 945.5
 2004 02 985.7
 2004 03 415·8
 2004 04 105.6
 2004 05 45·6
 2004 06 85·5
 2004 07 15.4
 2004 08 765.3
 2004 09 975.7
 2004 10 725.9
 2004 11 545·6
 2004 12 715.8
 2005 01  765.5
 2005 02  225·9
 2005 03  645.8
 2005 04  905.6
 2005 05  655·5
 2005 06  145.5
 2005 07  195·4
 2005 08  515.1
 2005 09  145.7
 2005 10  295.7
 2005 11  325.7
 2005 12  985·8
 2006 01 995.5
 2006 02 765.6
 2006 03 395.7
 2006 04 15·4
 2006 05 205.6
 2006 06 845·0
 2006 07 65·3
 2006 08 545.3
 2006 09 35·9
 2006 10 115.9
 2006 11 186·0
 2006 12 765·9
 2007 01  985.7
 2007 02  395.8
 2007 03  895·8
 2007 04  115.8
 2007 05  815·7
 2007 06  735.5
 2007 07  585·5
 2007 08  285.2
 2007 09  515.6
 2007 10  475·8
 2007 11  865.8
 2007 12  225·7
 2008 01 355·6
 2008 02 155.9
 2008 03 635·7
 2008 04 115.6
 2008 05 825.7
 2008 06 615·6
 2008 07 995·5
 2008 08 405.4
 2008 09 685·5
 2008 10 905·7
 2008 11 355·7
 2008 12 775.5
 2009 01  935·6
 2009 02  356·0
 2009 03  326.1
 2009 04  186.1
 2009 05  845.7
 2009 06  515.4
 2009 07  785.6
 2009 08  815.5
 2009 09  895.6
 2009 10  215.6
 2009 11  875·7
 2009 12  105·4
 2010 01 855·4
 2010 02 525·7
 2010 03 955.4
 2010 04 745·6
 2010 05 725.7
 2010 06 745.1
 2010 07 675.1
 2010 08 685.0
 2010 09 755.4
 2010 10 445·6
 2010 11 895·5
 2010 12 115.5
 2011 01  455.3
 2011 02  455·4
 2011 03  765.4
 2011 04  465·5
 2011 05  575.5
 2011 06  825.3
 2011 07  645·1
 2011 08  435·0
 2011 09  125.4
 2011 10  885.4
 2011 11  165·5
 2011 12  975.3
 2012 01 355·3
 2012 02 195.6
 2012 03 215·4
 2012 04 255·2
 2012 05 755·4
 2012 06 565·1
 2012 07 925.0
 2012 08 734.9
 2012 09 105·0
 2012 10 75·3
 2012 11 655·4
 2012 12 105.4
 2013 01  395.2
 2013 02  35·6
 2013 03  55.4
 2013 04  295·2
 2013 05  875·3
 2013 06  04·9
 2013 07  994·9
 2013 08  504.9
 2013 09  55.0
 2013 10  815.3
 2013 11  605·3
 2013 12  165·4
 2014 01 685·2
 2014 02 515·4
 2014 03 265.4
 2014 04 985·4
 2014 05 765·3
 2014 06 435·0
 2014 07 594·9
 2014 08 895·0
 2014 09 565·3
 2014 10 135.8
 2014 11 485·6
 2014 12 95.5
 2015 01  585.4
 2015 02  435·3
 2015 03  55·3
 2015 04  15·3
 2015 05  565·2
 2015 06  395.1
 2015 07  694.8
 2015 08  354·9
 2015 09  515·4
 2015 10  345.5
 2015 11  25·5
 2015 12  45.7
 2016 01 695.4
 2016 02 835.5
 2016 03 925.5
 2016 04 285.4
 2016 05 595.4
 2016 06 685.0
 2016 07 525.1
 2016 08 525·2
 2016 09 995.9
 2016 10 975.9
 2016 11 216·0
 2016 12 435.7
 2017 01  875·4
 2017 02  05.6


 2017 03  605·7
 2017 04  975.4
 2017 05  495.3
 2017 06  345·1
 2017 07  575·0
 2017 08  324·8
 2017 09  355.1
 2017 10  825.2
 2017 11  275.6
 2017 12  935·6
 2018 01 225·4
 2018 02 485·6
 2018 03 65.2
 2018 04 495.3
 2018 05 95·1
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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, 20 years and over, 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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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