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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 01 553.6
 2000 02 23·2
 2000 03 253.8
 2000 04 164.4
 2000 05 893.0
 2000 06 603·9
 2000 07 484·0
 2000 08 03·5
 2000 09 464·2
 2000 10 733·4
 2000 11 273.9
 2000 12 383·5
 2001 01  763.4
 2001 02  233·5
 2001 03  764.4
 2001 04  764.9
 2001 05  543.6
 2001 06  154·5
 2001 07  333.2
 2001 08  813·5
 2001 09  814.1
 2001 10  833.9
 2001 11  623.3
 2001 12  493·3
 2002 01 833·1
 2002 02 814.1
 2002 03 484·6
 2002 04 994.1
 2002 05 83.5
 2002 06 923.7
 2002 07 73.4
 2002 08 743·1
 2002 09 343·4
 2002 10 232.9
 2002 11 753·4
 2002 12 433.1
 2003 01  602.5
 2003 02  63·5
 2003 03  153.4
 2003 04  23·2
 2003 05  113.8
 2003 06  962·9
 2003 07  163.1
 2003 08  693.3
 2003 09  393.4
 2003 10  752·6
 2003 11  892·5
 2003 12  883.2
 2004 01 192·6
 2004 02 513.6
 2004 03 743.6
 2004 04 283.3
 2004 05 503·5
 2004 06 543.7
 2004 07 334·1
 2004 08 843.5
 2004 09 583.2
 2004 10 423·0
 2004 11 544·7
 2004 12 744.7
 2005 01  944.1
 2005 02  964.5
 2005 03  493.2
 2005 04  432.5
 2005 05  332·8
 2005 06  223.3
 2005 07  573·6
 2005 08  603.9
 2005 09  763.8
 2005 10  535·1
 2005 11  414·5
 2005 12  194·4
 2006 01 474.5
 2006 02 454·3
 2006 03 883.4
 2006 04 393.9
 2006 05 983·3
 2006 06 793.8
 2006 07 113·8
 2006 08 643.4
 2006 09 33·1
 2006 10 633·2
 2006 11 483·1
 2006 12 643.5
 2007 01  643·2
 2007 02  273·9
 2007 03  634·3
 2007 04  323.0
 2007 05  43.4
 2007 06  293·0
 2007 07  423·6
 2007 08  893·1
 2007 09  762.8
 2007 10  512.6
 2007 11  02·5
 2007 12  773.6
 2008 01 542.8
 2008 02 983.6
 2008 03 733·6
 2008 04 663·9
 2008 05 383·4
 2008 06 23.1
 2008 07 242.9
 2008 08 503·6
 2008 09 543·2
 2008 10 212·8
 2008 11 432.5
 2008 12 483·0
 2009 01  533.1
 2009 02  352.7
 2009 03  403·0
 2009 04  53.6
 2009 05  94·0
 2009 06  523.4
 2009 07  562.3
 2009 08  903·0
 2009 09  233·6
 2009 10  32·7
 2009 11  513·0
 2009 12  963.0
 2010 01 212·9
 2010 02 442·3
 2010 03 143.1
 2010 04 433·3
 2010 05 532·5
 2010 06 582.5
 2010 07 582·0
 2010 08 752.2
 2010 09 942·5
 2010 10 503·2
 2010 11 222.5
 2010 12 612·9
 2011 01  452.6
 2011 02  532.7
 2011 03  672.9
 2011 04  952.7
 2011 05  312.7
 2011 06  242.5
 2011 07  813·0
 2011 08  973·3
 2011 09  32.6
 2011 10  432.4
 2011 11  782·6
 2011 12  102.7
 2012 01 352·3
 2012 02 183·0
 2012 03 962·7
 2012 04 52.5
 2012 05 293.2
 2012 06 802.9
 2012 07 972·8
 2012 08 732·8
 2012 09 92·9
 2012 10 852·2
 2012 11 693·0
 2012 12 363.8
 2013 01  263·3
 2013 02  173·8
 2013 03  253·0
 2013 04  372.6
 2013 05  563·1
 2013 06  802·8
 2013 07  42·8
 2013 08  462.5
 2013 09  992·3
 2013 10  72·5
 2013 11  672.6
 2013 12  551.9
 2014 01 791·9
 2014 02 543.1
 2014 03 33.6
 2014 04 853.8
 2014 05 494·2
 2014 06 33·3
 2014 07 242.5
 2014 08 802·8
 2014 09 822·4
 2014 10 613·1
 2014 11 702·8
 2014 12 92·6
 2015 01  802.6
 2015 02  592·1
 2015 03  12·0
 2015 04  662.7
 2015 05  672.1
 2015 06  542·5
 2015 07  72·9
 2015 08  692.8
 2015 09  953.4
 2015 10  282.9
 2015 11  02·6
 2015 12  642·8
 2016 01 383.2
 2016 02 862.3
 2016 03 192·8
 2016 04 202.2
 2016 05 982·4
 2016 06 622.9
 2016 07 253.4
 2016 08 303.2
 2016 09 983·7
 2016 10 112·9
 2016 11 82.7
 2016 12 133.1
 2017 01  903·1
 2017 02  153·4


 2017 03  793.8
 2017 04  153·5
 2017 05  503.8
 2017 06  813.2
 2017 07  762·6
 2017 08  32.0
 2017 09  771.6
 2017 10  403·7
 2017 11  642·9
 2017 12  723.5
 2018 01 963.5
 2018 02 493.6
 2018 03 293.0
 2018 04 423·1
 2018 05 603.2
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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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