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 Series Title: Multiple Jobholders, Primary Job Full Time, Secondary Job Part Time, Women: NSA
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 2012 04 931523.
 2012 03 811628·
 2012 02 231671·
 2012 01 971456.
 2011 12  51523.
 2011 11  521607·
 2011 10  421638·
 2011 09  121739·
 2011 08  781643·
 2011 07  151574·
 2011 06  551608.
 2011 05  181744.
 2011 04  611691.
 2011 03  511664.
 2011 02  761609.
 2011 01  621641.
 2010 12 291624·
 2010 11 691718·
 2010 10 431819·
 2010 09 111663.
 2010 08 841576.
 2010 07 981603·
 2010 06 171512·
 2010 05 601692·
 2010 04 511665·
 2010 03 971712.
 2010 02 881708.
 2010 01 281691·
 2009 12  791632·
 2009 11  451802.
 2009 10  681784·
 2009 09  591795.
 2009 08  451769.
 2009 07  511835.
 2009 06  961748.
 2009 05  221873·
 2009 04  491894·
 2009 03  451970·
 2009 02  331947.
 2009 01  121856.
 2008 12 161888.
 2008 11 851862·
 2008 10 671905·
 2008 09 471782.
 2008 08 971859·
 2008 07 521882.
 2008 06 131836·
 2008 05 721904.
 2008 04 671861·
 2008 03 521922.
 2008 02 71901·
 2008 01 561905·
 2007 12  261828.
 2007 11  181957·
 2007 10  121987.
 2007 09  931941.
 2007 08  01870·
 2007 07  61829·
 2007 06  171792.
 2007 05  21805.
 2007 04  391816.
 2007 03  971811.
 2007 02  341832·
 2007 01  271779.
 2006 12 181853·
 2006 11 981854.
 2006 10 11851.
 2006 09 371881·
 2006 08 391714·
 2006 07 411685·
 2006 06 821624·
 2006 05 271718·
 2006 04 261629·
 2006 03 831698·
 2006 02 631728·
 2006 01 161743.
 2005 12  291872·
 2005 11  51839·
 2005 10  581796·
 2005 09  471719.
 2005 08  251648.
 2005 07  131661.
 2005 06  41720·
 2005 05  911652·
 2005 04  131731.
 2005 03  401706.
 2005 02  661675.
 2005 01  401665·
 2004 12 191747·
 2004 11 421759·
 2004 10 291801.
 2004 09 151715.
 2004 08 941615.
 2004 07 01590·
 2004 06 81619·
 2004 05 591749.
 2004 04 121727·
 2004 03 221739·
 2004 02 411658.
 2004 01 411649·
 2003 12  741765.
 2003 11  391700·
 2003 10  891646.
 2003 09  571607·
 2003 08  61615·
 2003 07  71512·
 2003 06  411655·
 2003 05  241606.
 2003 04  571569·
 2003 03  91740.
 2003 02  111830·
 2003 01  871692·
 2002 12 41767.
 2002 11 511751·
 2002 10 351610.
 2002 09 151676·
 2002 08 461622·
 2002 07 641609·
 2002 06 771646.
 2002 05 21686.
 2002 04 101737·
 2002 03 51817.
 2002 02 241830·
 2002 01 671667.
 2001 12  451694.
 2001 11  561701·
 2001 10  901594.
 2001 09  561671.
 2001 08  261589·
 2001 07  231647·
 2001 06  131639.
 2001 05  351688.
 2001 04  551802·
 2001 03  391761·
 2001 02  541790.
 2001 01  11732·
 2000 12 571913·
 2000 11 591818·
 2000 10 31807.
 2000 09 711753·
 2000 08 811616.
 2000 07 651721.
 2000 06 721663.
 2000 05 901802.
 2000 04 41820.
 2000 03 651782.
 2000 02 991813·
 2000 01 281831·
 1999 12  251932·
 1999 11  891956.
 1999 10  461832.
 1999 09  781742·
 1999 08  711641.
 1999 07  951662.
 1999 06  31631·
 1999 05  601825.
 1999 04  911827·
 1999 03  631836·
 1999 02  811845.
 1999 01  171824·
 1998 12 611988·
 1998 11 11959·
 1998 10 182016·
 1998 09 181892.
 1998 08 821803·
 1998 07 401769·
 1998 06 781739·
 1998 05 591849.
 1998 04 781892·
 1998 03 371935·
 1998 02 481811·
 1998 01 581790.
 1997 12  01894.
 1997 11  741868.
 1997 10  421935.
 1997 09  591827.
 1997 08  241730.
 1997 07  561810·
 1997 06  961779·
 1997 05  311820.
 1997 04  501814.
 1997 03  171903·
 1997 02  741815·
 1997 01  691730·
 1996 12 31833.
 1996 11 121899.
 1996 10 641929·
 1996 09 911688.
 1996 08 331724.
 1996 07 221615.
 1996 06 791798.
 1996 05 421711·
 1996 04 171655·
 1996 03 561963.
 1996 02 571803·
 1996 01 911647.
 1995 12  541829.
 1995 11  441783.
 1995 10  601796·
 1995 09  321726.
 1995 08  701736·
 1995 07  431732·
 1995 06  761744·
 1995 05  841877.
 1995 04  151815.
 1995 03  341828.
 1995 02  191839·
 1995 01  911673.
 1994 12 651748.
 1994 11 251700.
 1994 10 261722·
 1994 09 231743.
 1994 08 201488.
 1994 07 461604.
 1994 06 601641·
 1994 05 741605·
 1994 04 51784·
 1994 03 561699.
 1994 02 91702.
 1994 01 621635.
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: 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, Primary Job Full Time, Secondary Job Part Time, 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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