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 Series Title: Employment Level: Multiple Jobholders White: 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 475932·
 1994 02 966182·
 1994 03 206309.
 1994 04 896403·
 1994 05 06455.
 1994 06 506269·
 1994 07 396307·
 1994 08 966289·
 1994 09 326708·
 1994 10 146710.
 1994 11 716590·
 1994 12 136563.
 1995 01  926297·
 1995 02  716752·
 1995 03  296595.
 1995 04  866736·
 1995 05  587032.
 1995 06  286938·
 1995 07  526859·
 1995 08  846668·
 1995 09  286822·
 1995 10  157016.
 1995 11  16709·
 1995 12  06744.
 1996 01 296240.
 1996 02 906883.
 1996 03 666929·
 1996 04 546561·
 1996 05 116894.
 1996 06 336785.
 1996 07 586704·
 1996 08 896597·
 1996 09 496845.
 1996 10 537338·
 1996 11 177449.
 1996 12 767176.
 1997 01  436610.
 1997 02  806924.
 1997 03  46856·
 1997 04  86889·
 1997 05  197139.
 1997 06  727172.
 1997 07  77035·
 1997 08  46554·
 1997 09  286828·
 1997 10  96943.
 1997 11  407020.
 1997 12  96935·
 1998 01 456697.
 1998 02 986879·
 1998 03 406925.
 1998 04 916873.
 1998 05 697019·
 1998 06 716661·
 1998 07 706595·
 1998 08 456386.
 1998 09 276789·
 1998 10 857055·
 1998 11 197101.
 1998 12 897003·
 1999 01  696742·
 1999 02  226890.
 1999 03  986822·
 1999 04  696444.
 1999 05  716783·
 1999 06  876579·
 1999 07  476632·
 1999 08  536184.
 1999 09  326476·
 1999 10  136873.
 1999 11  276821·
 1999 12  356837.
 2000 01 786434·
 2000 02 566614.
 2000 03 276654·
 2000 04 346666·
 2000 05 606737·
 2000 06 986331.
 2000 07 596424.
 2000 08 956060·
 2000 09 526418.
 2000 10 456521.
 2000 11 626321·
 2000 12 876611·
 2001 01  566174.
 2001 02  306519.
 2001 03  986530·
 2001 04  46215·
 2001 05  966429·
 2001 06  86237·
 2001 07  556422·
 2001 08  646081.
 2001 09  246338·
 2001 10  626208·
 2001 11  476164·
 2001 12  136281·
 2002 01 146008·
 2002 02 986325·
 2002 03 106422.
 2002 04 196199·
 2002 05 666240.
 2002 06 476216.
 2002 07 86245·
 2002 08 765920.
 2002 09 76336·
 2002 10 676378·
 2002 11 296250.
 2002 12 46695.
 2003 01  876132.
 2003 02  396495·
 2003 03  866363.
 2003 04  466191.
 2003 05  806226.
 2003 06  706315·
 2003 07  176230·
 2003 08  736171·
 2003 09  886137.
 2003 10  906455·
 2003 11  836321.
 2003 12  776239·
 2004 01 366090·
 2004 02 586172·
 2004 03 756257·
 2004 04 786175.
 2004 05 746108.
 2004 06 546295·
 2004 07 36404.
 2004 08 216357·
 2004 09 776586.
 2004 10 856857.
 2004 11 76411.
 2004 12 746572·
 2005 01  476046·
 2005 02  846400·
 2005 03  486434·
 2005 04  326333·
 2005 05  76273.
 2005 06  56409·
 2005 07  166342.
 2005 08  136019·
 2005 09  106504.
 2005 10  326599·
 2005 11  226317.
 2005 12  626431.
 2006 01 296153.
 2006 02 716120·
 2006 03 56318·
 2006 04 486159.
 2006 05 666338.
 2006 06 536124·
 2006 07 276269·
 2006 08 656038·
 2006 09 466601·
 2006 10 356635.
 2006 11 776533·
 2006 12 326561.
 2007 01  206289.
 2007 02  986488.
 2007 03  686588.
 2007 04  946680.
 2007 05  616575.
 2007 06  506372.
 2007 07  366427.
 2007 08  196104.
 2007 09  726467·
 2007 10  226683·
 2007 11  466569.
 2007 12  26362.
 2008 01 786163.
 2008 02 716411.
 2008 03 856238.
 2008 04 616274.
 2008 05 286424.
 2008 06 776483.
 2008 07 656502·
 2008 08 426453·
 2008 09 996583.
 2008 10 496641·
 2008 11 266425.
 2008 12 126263·
 2009 01  906081.
 2009 02  176544·
 2009 03  296542.
 2009 04  676550·
 2009 05  276107·
 2009 06  385987.
 2009 07  636173.
 2009 08  255734.
 2009 09  616034.
 2009 10  946165.
 2009 11  406175.
 2009 12  315898.
 2010 01 665734·
 2010 02 926111.
 2010 03 996010·
 2010 04 536015·
 2010 05 446205·
 2010 06 625929.
 2010 07 25612·
 2010 08 865590·
 2010 09 195677.
 2010 10 635806·
 2010 11 375821·
 2010 12 495776.
 2011 01  435551·
 2011 02  745735.
 2011 03  175665·
 2011 04  865833.
 2011 05  896042·
 2011 06  45919.
 2011 07  805810.
 2011 08  665695·
 2011 09  595853·
 2011 10  835898·
 2011 11  895876.
 2011 12  845870·
 2012 01 795732.
 2012 02 695850·
 2012 03 325885·
 2012 04 585753.
 2012 05 985925·
 2012 06 425607.
 2012 07 215657.
 2012 08 335532.
 2012 09 925600.
 2012 10 105810.
 2012 11 955934.
 2012 12 775788.
 2013 01  615474·
 2013 02  56025·
 2013 03  165898.
 2013 04  855809·
 2013 05  315929.
 2013 06  825772.
 2013 07  735591.
 2013 08  775545.
 2013 09  535749·
 2013 10  235748·
 2013 11  775754.
 2013 12  955715.
 2014 01 05451.
 2014 02 365803·
 2014 03 685748·
 2014 04 105835.
 2014 05 755875.
 2014 06 525694·
 2014 07 85655.
 2014 08 155548·
 2014 09 15844.
 2014 10 266312.
 2014 11 846128·
 2014 12 305913.
 2015 01  316040.
 2015 02  425918·
 2015 03  115917.
 2015 04  995713.
 2015 05  385631.
 2015 06  65607.
 2015 07  245710·
 2015 08  905651·
 2015 09  245923.
 2015 10  496177.
 2015 11  896118.
 2015 12  996165.
 2016 01 145832.
 2016 02 286038.
 2016 03 926110.
 2016 04 445999·
 2016 05 585979·
 2016 06 245652.
 2016 07 465603.
 2016 08 695656·
 2016 09 326217.
 2016 10 456398·
 2016 11 896393·
 2016 12 436107.
 2017 01  365916·
 2017 02  226337·


 2017 03  846365.
 2017 04  615984·
 2017 05  955991·
 2017 06  115957·
 2017 07  205821.
 2017 08  425580.
 2017 09  596006·
 2017 10  945851.
 2017 11  85982.
 2017 12  296071·
 2018 01 56174·
 2018 02 786412·
 2018 03 876154·
 2018 04 936081.
 2018 05 335889·
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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: Employment Level: Multiple Jobholders White: 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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