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 Series Title: Multiple Jobholders as a Percent of Employed, Asian Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 803.6
 2000 02 743·2
 2000 03 63·8
 2000 04 54·4
 2000 05 233.0
 2000 06 133.9
 2000 07 314.0
 2000 08 633·5
 2000 09 764·2
 2000 10 943.4
 2000 11 03·9
 2000 12 633.5
 2001 01  893·4
 2001 02  983·5
 2001 03  264·4
 2001 04  494·9
 2001 05  383.6
 2001 06  344·5
 2001 07  483.2
 2001 08  913.5
 2001 09  244·1
 2001 10  313.9
 2001 11  283·3
 2001 12  833.3
 2002 01 713·1
 2002 02 474·1
 2002 03 554·6
 2002 04 444·1
 2002 05 303·5
 2002 06 643·7
 2002 07 403·4
 2002 08 183.1
 2002 09 763·4
 2002 10 882.9
 2002 11 233·4
 2002 12 743·1
 2003 01  112·5
 2003 02  503·5
 2003 03  653.4
 2003 04  73.2
 2003 05  583·8
 2003 06  82·9
 2003 07  563·1
 2003 08  353·3
 2003 09  693.4
 2003 10  432.6
 2003 11  62·5
 2003 12  33.2
 2004 01 192.6
 2004 02 613.6
 2004 03 563.6
 2004 04 803.3
 2004 05 93·5
 2004 06 953·7
 2004 07 674·1
 2004 08 603.5
 2004 09 633·2
 2004 10 03·0
 2004 11 274·7
 2004 12 624·7
 2005 01  334.1
 2005 02  594.5
 2005 03  503.2
 2005 04  302.5
 2005 05  932.8
 2005 06  793.3
 2005 07  723·6
 2005 08  333·9
 2005 09  443.8
 2005 10  905·1
 2005 11  584·5
 2005 12  664.4
 2006 01 114·5
 2006 02 494·3
 2006 03 953·4
 2006 04 483·9
 2006 05 453.3
 2006 06 393·8
 2006 07 953·8
 2006 08 223.4
 2006 09 213.1
 2006 10 653·2
 2006 11 973·1
 2006 12 583·5
 2007 01  403·2
 2007 02  603.9
 2007 03  644.3
 2007 04  513.0
 2007 05  273.4
 2007 06  803.0
 2007 07  833·6
 2007 08  183·1
 2007 09  322.8
 2007 10  72.6
 2007 11  672.5
 2007 12  53·6
 2008 01 302·8
 2008 02 463·6
 2008 03 553·6
 2008 04 813·9
 2008 05 233.4
 2008 06 313·1
 2008 07 92.9
 2008 08 393.6
 2008 09 353·2
 2008 10 182.8
 2008 11 172.5
 2008 12 993·0
 2009 01  173·1
 2009 02  872·7
 2009 03  923·0
 2009 04  53·6
 2009 05  444·0
 2009 06  473.4
 2009 07  722.3
 2009 08  263·0
 2009 09  173·6
 2009 10  282·7
 2009 11  193·0
 2009 12  563.0
 2010 01 612.9
 2010 02 872·3
 2010 03 223·1
 2010 04 153·3
 2010 05 262.5
 2010 06 62.5
 2010 07 932·0
 2010 08 462.2
 2010 09 882.5
 2010 10 913·2
 2010 11 712.5
 2010 12 182·9
 2011 01  482·6
 2011 02  752·7
 2011 03  182·9
 2011 04  272·7
 2011 05  292·7
 2011 06  132.5
 2011 07  233·0
 2011 08  903·3
 2011 09  842.6
 2011 10  872.4
 2011 11  972·6
 2011 12  532.7
 2012 01 882.3
 2012 02 53·0
 2012 03 792.7
 2012 04 832.5
 2012 05 403·2
 2012 06 972·9
 2012 07 322.8
 2012 08 762·8
 2012 09 662·9
 2012 10 212·2
 2012 11 443.0
 2012 12 513.8
 2013 01  163.3
 2013 02  573·8
 2013 03  273·0
 2013 04  512.6
 2013 05  673·1
 2013 06  132.8
 2013 07  202·8
 2013 08  452·5
 2013 09  182·3
 2013 10  202.5
 2013 11  862.6
 2013 12  291·9
 2014 01 951·9
 2014 02 353.1
 2014 03 113.6
 2014 04 213.8
 2014 05 474.2
 2014 06 393·3
 2014 07 102·5
 2014 08 652·8
 2014 09 522.4
 2014 10 403.1
 2014 11 202.8
 2014 12 302·6
 2015 01  82.6
 2015 02  682.1
 2015 03  42·0
 2015 04  112.7
 2015 05  412.1
 2015 06  812.5
 2015 07  492.9
 2015 08  262.8
 2015 09  23.4
 2015 10  602·9
 2015 11  702.6
 2015 12  202·8
 2016 01 673·2
 2016 02 122.3
 2016 03 32·8
 2016 04 622.2
 2016 05 342.4
 2016 06 672·9
 2016 07 113·4
 2016 08 463.2
 2016 09 313.7
 2016 10 842.9
 2016 11 832·7
 2016 12 913.1
 2017 01  63·1
 2017 02  443·4
 2017 03  323.8
 2017 04  413·5
 2017 05  373.8
 2017 06  523.2


 2017 07  942.6
 2017 08  662.0
 2017 09  221·6
 2017 10  423·7
 2017 11  342.9
 2017 12  593·5
 2018 01 883·5
 2018 02 693.6
 2018 03 383.0
 2018 04 413·1
 2018 05 843.2
 2018 06 152·7
 2018 07 202.8
 2018 08 543·0
 2018 09 873·2
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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, Asian Men: 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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