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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 01 466.5
 1994 02 377·5
 1994 03 167·0
 1994 04 127·6
 1994 05 777.4
 1994 06 637·5
 1994 07 287·6
 1994 08 577·2
 1994 09 177.2
 1994 10 327.0
 1994 11 856·9
 1994 12 447·3
 1995 01  186.9
 1995 02  247·3
 1995 03  986·9
 1995 04  187.1
 1995 05  547·4
 1995 06  477.7
 1995 07  87·7
 1995 08  487·0
 1995 09  277.1
 1995 10  327.1
 1995 11  767·0
 1995 12  277.6
 1996 01 626·8
 1996 02 357.0
 1996 03 907·4
 1996 04 766.5
 1996 05 86.8
 1996 06 407.6
 1996 07 637.3
 1996 08 376.9
 1996 09 426.7
 1996 10 517.9
 1996 11 337.7
 1996 12 817·9
 1997 01  647·0
 1997 02  17.5
 1997 03  637·3
 1997 04  17.0
 1997 05  997.2
 1997 06  467·4
 1997 07  407.2
 1997 08  176·8
 1997 09  986.6
 1997 10  686.8
 1997 11  797·0
 1997 12  737·4
 1998 01 367·1
 1998 02 747.1
 1998 03 166·6
 1998 04 377.1
 1998 05 136.6
 1998 06 957·1
 1998 07 146·8
 1998 08 46·8
 1998 09 557·1
 1998 10 887·1
 1998 11 627.4
 1998 12 937.7
 1999 01  126·5
 1999 02  356·7
 1999 03  726·9
 1999 04  496.5
 1999 05  597.1
 1999 06  426·3
 1999 07  826.7
 1999 08  406·7
 1999 09  986.3
 1999 10  406.8
 1999 11  566·6
 1999 12  607·1
 2000 01 526.3
 2000 02 876·4
 2000 03 806·6
 2000 04 296·3
 2000 05 746.5
 2000 06 656·6
 2000 07 687·2
 2000 08 916·4
 2000 09 386.3
 2000 10 786.7
 2000 11 576.8
 2000 12 156.8
 2001 01  446·0
 2001 02  616.2
 2001 03  116·1
 2001 04  955.6
 2001 05  186.2
 2001 06  686.6
 2001 07  187.0
 2001 08  506·3
 2001 09  105·9
 2001 10  826.2
 2001 11  906·0
 2001 12  256.2
 2002 01 966.0
 2002 02 96.9
 2002 03 656·7
 2002 04 886.5
 2002 05 776·1
 2002 06 826.4
 2002 07 76·7
 2002 08 346.0
 2002 09 765.7
 2002 10 566.5
 2002 11 26·4
 2002 12 816.8
 2003 01  466.1
 2003 02  136·5
 2003 03  645·9
 2003 04  746.2
 2003 05  606·4
 2003 06  606·6
 2003 07  326·3
 2003 08  836·6
 2003 09  216·4
 2003 10  286·5
 2003 11  666·7
 2003 12  16.7
 2004 01 525.7
 2004 02 756·3
 2004 03 575·9
 2004 04 476.1
 2004 05 56·7
 2004 06 817·1
 2004 07 166.8
 2004 08 656.2
 2004 09 556.5
 2004 10 546.7
 2004 11 815.9
 2004 12 256.3
 2005 01  15·8
 2005 02  256.2
 2005 03  166.6
 2005 04  216·1
 2005 05  716.4
 2005 06  516.9
 2005 07  86·7
 2005 08  725·9
 2005 09  136.3
 2005 10  136·3
 2005 11  696·6
 2005 12  226·8
 2006 01 46·1
 2006 02 186·2
 2006 03 396·5
 2006 04 406.4
 2006 05 437.1
 2006 06 986·4
 2006 07 806·9
 2006 08 206·2
 2006 09 576·7
 2006 10 96.4
 2006 11 796.7
 2006 12 826·2
 2007 01  956.4
 2007 02  326·6
 2007 03  506.5
 2007 04  706.1
 2007 05  336·4
 2007 06  766.4
 2007 07  306·4
 2007 08  525.8
 2007 09  726·0
 2007 10  716·2
 2007 11  836·3
 2007 12  236.1
 2008 01 365.9
 2008 02 736.1
 2008 03 965.9
 2008 04 35.7
 2008 05 766.0
 2008 06 656·4
 2008 07 836·2
 2008 08 345.9
 2008 09 685.4
 2008 10 535·9
 2008 11 806·2
 2008 12 875·7
 2009 01  125.9
 2009 02  696.0
 2009 03  516·3
 2009 04  556.6
 2009 05  336.3
 2009 06  696·2
 2009 07  846.5
 2009 08  586·0
 2009 09  815.8
 2009 10  365·9
 2009 11  926·4
 2009 12  396·2
 2010 01 335·8
 2010 02 756.0
 2010 03 135·6
 2010 04 695.9
 2010 05 886·6
 2010 06 186.7
 2010 07 96.4
 2010 08 405.6
 2010 09 726·2
 2010 10 226.2
 2010 11 686.3
 2010 12 736.4
 2011 01  355·7
 2011 02  695.7
 2011 03  45·2
 2011 04  106.1
 2011 05  536.1
 2011 06  656·3
 2011 07  545·8
 2011 08  235·8
 2011 09  266·1
 2011 10  426·4
 2011 11  816·2
 2011 12  46.0
 2012 01 796·0
 2012 02 576·2
 2012 03 736.0
 2012 04 725.5
 2012 05 635·9
 2012 06 915·8
 2012 07 435·9
 2012 08 735·7
 2012 09 535.5
 2012 10 505.6
 2012 11 286·0
 2012 12 746·4
 2013 01  506.1
 2013 02  676·8
 2013 03  936·5
 2013 04  715.9
 2013 05  786.0
 2013 06  985.7
 2013 07  235.9
 2013 08  825·6
 2013 09  895.8
 2013 10  256·2
 2013 11  346.2
 2013 12  516.8
 2014 01 586.0
 2014 02 546·0
 2014 03 616.0
 2014 04 485.9
 2014 05 855.9
 2014 06 185·8
 2014 07 695·5
 2014 08 675.8
 2014 09 966.1
 2014 10 726·9
 2014 11 456·6
 2014 12 276.8
 2015 01  406.7
 2015 02  986·1
 2015 03  26·1
 2015 04  715·8
 2015 05  945·9
 2015 06  36.0
 2015 07  775.6
 2015 08  705·8
 2015 09  576·1
 2015 10  186·3
 2015 11  356·8
 2015 12  176·9
 2016 01 566.3
 2016 02 16·6
 2016 03 626·2
 2016 04 316·0
 2016 05 405.8
 2016 06 335.9
 2016 07 716.1
 2016 08 576·1
 2016 09 856.9
 2016 10 206.8
 2016 11 27.2
 2016 12 636·5
 2017 01  915.9
 2017 02  956·6
 2017 03  156·6
 2017 04  456·2
 2017 05  835.5
 2017 06  136·0
 2017 07  05.7
 2017 08  205·1
 2017 09  135.3


 2017 10  575.6
 2017 11  686.1
 2017 12  346·3
 2018 01 556·2
 2018 02 326.4
 2018 03 595·8
 2018 04 545·9
 2018 05 105.7
 2018 06 726·0
 2018 07 356·5
 2018 08 776·1
 2018 09 46.0
 2018 10 316·2
 2018 11 836.4
 2018 12 196.4
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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, Never Married Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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