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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 01 635.7
 1994 02 136·0
 1994 03 165.9
 1994 04 926.2
 1994 05 885.9
 1994 06 525.6
 1994 07 325·7
 1994 08 95·4
 1994 09 436·0
 1994 10 516·1
 1994 11 125.9
 1994 12 876.1
 1995 01  765.8
 1995 02  936·4
 1995 03  686·4
 1995 04  706·3
 1995 05  646.4
 1995 06  856.0
 1995 07  385.8
 1995 08  275·8
 1995 09  76.1
 1995 10  576.3
 1995 11  856·2
 1995 12  546·5
 1996 01 315.9
 1996 02 676.5
 1996 03 986.6
 1996 04 685.9
 1996 05 856·0
 1996 06 965.9
 1996 07 885.7
 1996 08 145.8
 1996 09 466.2
 1996 10 516.8
 1996 11 946.9
 1996 12 606·6
 1997 01  136·0
 1997 02  636·5
 1997 03  786·5
 1997 04  26.3
 1997 05  126.4
 1997 06  906·1
 1997 07  296.0
 1997 08  595·7
 1997 09  936.1
 1997 10  126.4
 1997 11  606·4
 1997 12  736·4
 1998 01 326·3
 1998 02 366·3
 1998 03 86.3
 1998 04 166·2
 1998 05 296·1
 1998 06 955·8
 1998 07 365.8
 1998 08 805.6
 1998 09 106·2
 1998 10 446·6
 1998 11 326·6
 1998 12 846·6
 1999 01  256.2
 1999 02  666·2
 1999 03  96.2
 1999 04  746·0
 1999 05  496·2
 1999 06  665·5
 1999 07  55·5
 1999 08  185·4
 1999 09  835·9
 1999 10  776·1
 1999 11  836·2
 1999 12  106·4
 2000 01 515·8
 2000 02 555·9
 2000 03 305.9
 2000 04 705.8
 2000 05 65·8
 2000 06 825.3
 2000 07 605·4
 2000 08 415·1
 2000 09 215.6
 2000 10 655.7
 2000 11 115·7
 2000 12 936.0
 2001 01  975·5
 2001 02  355.8
 2001 03  445·8
 2001 04  205·5
 2001 05  605·7
 2001 06  485·4
 2001 07  495.4
 2001 08  405.2
 2001 09  605·4
 2001 10  875.4
 2001 11  385·6
 2001 12  995·6
 2002 01 735·4
 2002 02 585.9
 2002 03 505.7
 2002 04 655.6
 2002 05 985.5
 2002 06 935·4
 2002 07 465·4
 2002 08 335·2
 2002 09 625·6
 2002 10 485·6
 2002 11 145·9
 2002 12 216·0
 2003 01  145.7
 2003 02  56·0
 2003 03  695·6
 2003 04  735.4
 2003 05  305.5
 2003 06  705.4
 2003 07  475·3
 2003 08  605·3
 2003 09  115.6
 2003 10  765·7
 2003 11  115·6
 2003 12  745.7
 2004 01 815·5
 2004 02 795·7
 2004 03 505·8
 2004 04 365.6
 2004 05 925.6
 2004 06 615.5
 2004 07 765·4
 2004 08 895.3
 2004 09 185.7
 2004 10 275·9
 2004 11 275.6
 2004 12 25·8
 2005 01  605.5
 2005 02  105.9
 2005 03  665·8
 2005 04  705·6
 2005 05  435.5
 2005 06  675.5
 2005 07  825.4
 2005 08  115.1
 2005 09  185·7
 2005 10  795·7
 2005 11  855·7
 2005 12  705·8
 2006 01 605.5
 2006 02 535·6
 2006 03 165.7
 2006 04 165.4
 2006 05 705.6
 2006 06 205.0
 2006 07 365·3
 2006 08 445·3
 2006 09 735·9
 2006 10 375·9
 2006 11 346.0
 2006 12 715.9
 2007 01  195·7
 2007 02  865·8
 2007 03  225·8
 2007 04  435·8
 2007 05  835.7
 2007 06  735·5
 2007 07  385.5
 2007 08  285.2
 2007 09  675·6
 2007 10  305·8
 2007 11  465·8
 2007 12  215.7
 2008 01 955.6
 2008 02 145·9
 2008 03 325·7
 2008 04 415·6
 2008 05 185.7
 2008 06 65.6
 2008 07 105·5
 2008 08 325·4
 2008 09 115.5
 2008 10 125·7
 2008 11 195·7
 2008 12 625.5
 2009 01  755.6
 2009 02  666·0
 2009 03  196·1
 2009 04  276·1
 2009 05  355.7
 2009 06  225.4
 2009 07  15.6
 2009 08  465.5
 2009 09  415.6
 2009 10  635·6
 2009 11  765.7
 2009 12  615.4
 2010 01 705.4
 2010 02 965·7
 2010 03 825·4
 2010 04 445·6
 2010 05 205·7
 2010 06 525.1
 2010 07 835·1
 2010 08 875.0
 2010 09 185.4
 2010 10 875.6
 2010 11 665·5
 2010 12 105.5
 2011 01  145·3
 2011 02  845.4
 2011 03  445.4
 2011 04  575·5
 2011 05  835.5
 2011 06  495.3
 2011 07  545.1
 2011 08  985·0
 2011 09  265·4
 2011 10  135.4
 2011 11  615·5
 2011 12  255·3
 2012 01 685.3
 2012 02 345.6
 2012 03 515.4
 2012 04 595.2
 2012 05 605·4
 2012 06 935.1
 2012 07 385.0
 2012 08 444.9
 2012 09 765·0
 2012 10 965·3
 2012 11 605.4
 2012 12 495.4
 2013 01  185·2
 2013 02  755·6
 2013 03  785.4
 2013 04  675.2
 2013 05  115.3
 2013 06  874·9
 2013 07  834.9
 2013 08  194.9
 2013 09  55·0
 2013 10  145.3
 2013 11  855.3
 2013 12  475·4
 2014 01 755·2
 2014 02 625·4
 2014 03 235.4
 2014 04 225·4
 2014 05 225.3
 2014 06 635.0
 2014 07 614.9
 2014 08 385·0
 2014 09 725·3
 2014 10 735·8
 2014 11 855.6
 2014 12 135·5
 2015 01  745.4
 2015 02  745.3
 2015 03  95.3
 2015 04  925.3
 2015 05  45·2
 2015 06  735·1
 2015 07  704.8
 2015 08  434·9
 2015 09  635.4
 2015 10  15.5
 2015 11  325·5
 2015 12  625·7
 2016 01 755·4
 2016 02 155.5
 2016 03 835.5
 2016 04 675.4
 2016 05 925.4
 2016 06 965·0
 2016 07 345.1
 2016 08 25.2
 2016 09 885·9
 2016 10 525.9
 2016 11 256.0
 2016 12 375·7
 2017 01  645·4
 2017 02  145.6
 2017 03  185·7
 2017 04  655·4
 2017 05  465.3
 2017 06  385.1


 2017 07  15.0
 2017 08  64·8
 2017 09  845·1
 2017 10  75·2
 2017 11  875.6
 2017 12  35·6
 2018 01 525.4
 2018 02 265·6
 2018 03 145.2
 2018 04 275.3
 2018 05 535.1
 2018 06 285.3
 2018 07 445.6
 2018 08 715.4
 2018 09 105·4
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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

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