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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 01 973.6
 2000 02 283.2
 2000 03 403·8
 2000 04 404.4
 2000 05 623·0
 2000 06 423.9
 2000 07 154.0
 2000 08 503.5
 2000 09 954.2
 2000 10 543.4
 2000 11 923.9
 2000 12 593.5
 2001 01  433·4
 2001 02  463·5
 2001 03  824.4
 2001 04  114.9
 2001 05  853·6
 2001 06  244.5
 2001 07  243·2
 2001 08  753.5
 2001 09  184.1
 2001 10  223·9
 2001 11  803.3
 2001 12  443.3
 2002 01 703.1
 2002 02 944.1
 2002 03 394·6
 2002 04 394.1
 2002 05 893.5
 2002 06 233·7
 2002 07 143·4
 2002 08 43·1
 2002 09 533·4
 2002 10 152·9
 2002 11 413·4
 2002 12 73.1
 2003 01  602.5
 2003 02  23.5
 2003 03  853·4
 2003 04  423·2
 2003 05  373.8
 2003 06  412.9
 2003 07  333.1
 2003 08  303.3
 2003 09  343·4
 2003 10  132·6
 2003 11  982.5
 2003 12  133.2
 2004 01 262.6
 2004 02 243·6
 2004 03 173.6
 2004 04 613.3
 2004 05 143.5
 2004 06 83.7
 2004 07 544·1
 2004 08 693.5
 2004 09 223·2
 2004 10 193·0
 2004 11 974.7
 2004 12 554.7
 2005 01  34.1
 2005 02  414.5
 2005 03  583·2
 2005 04  632·5
 2005 05  292.8
 2005 06  783.3
 2005 07  763.6
 2005 08  633.9
 2005 09  43.8
 2005 10  645.1
 2005 11  134.5
 2005 12  494·4
 2006 01 504.5
 2006 02 554.3
 2006 03 573.4
 2006 04 393.9
 2006 05 203·3
 2006 06 313.8
 2006 07 213.8
 2006 08 793.4
 2006 09 883·1
 2006 10 13.2
 2006 11 433·1
 2006 12 373·5
 2007 01  553·2
 2007 02  963.9
 2007 03  864.3
 2007 04  73·0
 2007 05  463·4
 2007 06  723·0
 2007 07  383·6
 2007 08  93·1
 2007 09  122·8
 2007 10  102·6
 2007 11  112.5
 2007 12  873.6
 2008 01 272·8
 2008 02 193·6
 2008 03 443·6
 2008 04 93.9
 2008 05 933.4
 2008 06 283·1
 2008 07 992·9
 2008 08 703·6
 2008 09 343.2
 2008 10 962.8
 2008 11 652·5
 2008 12 893·0
 2009 01  23·1
 2009 02  22.7
 2009 03  533.0
 2009 04  103·6
 2009 05  714.0
 2009 06  553·4
 2009 07  32·3
 2009 08  33·0
 2009 09  423.6
 2009 10  862·7
 2009 11  773·0
 2009 12  613.0
 2010 01 402.9
 2010 02 512.3
 2010 03 623·1
 2010 04 33.3
 2010 05 162·5
 2010 06 322·5
 2010 07 722.0
 2010 08 752·2
 2010 09 452·5
 2010 10 363.2
 2010 11 452·5
 2010 12 442.9
 2011 01  282·6
 2011 02  942.7
 2011 03  442.9
 2011 04  52.7
 2011 05  892·7
 2011 06  632.5
 2011 07  553·0
 2011 08  773.3
 2011 09  792·6
 2011 10  252·4
 2011 11  932.6
 2011 12  52·7
 2012 01 752.3
 2012 02 863.0
 2012 03 962·7
 2012 04 572.5
 2012 05 753·2
 2012 06 782.9
 2012 07 252·8
 2012 08 282·8
 2012 09 52·9
 2012 10 572.2
 2012 11 693·0
 2012 12 373·8
 2013 01  173·3
 2013 02  63·8
 2013 03  423.0
 2013 04  272·6
 2013 05  843.1
 2013 06  302·8
 2013 07  802·8
 2013 08  682.5
 2013 09  82·3
 2013 10  622·5
 2013 11  462·6
 2013 12  551·9
 2014 01 141.9
 2014 02 583.1
 2014 03 293·6
 2014 04 63·8
 2014 05 534.2
 2014 06 03.3
 2014 07 422·5
 2014 08 652·8
 2014 09 992.4
 2014 10 943.1
 2014 11 222.8
 2014 12 22·6
 2015 01  532.6
 2015 02  722.1
 2015 03  322·0
 2015 04  102·7
 2015 05  412.1
 2015 06  912.5
 2015 07  602.9
 2015 08  102·8
 2015 09  133·4
 2015 10  322·9
 2015 11  192.6
 2015 12  442·8
 2016 01 443·2
 2016 02 22.3
 2016 03 472.8
 2016 04 822.2
 2016 05 352.4
 2016 06 322·9
 2016 07 73·4
 2016 08 193.2
 2016 09 103.7
 2016 10 802·9
 2016 11 862.7
 2016 12 733·1
 2017 01  223·1
 2017 02  273·4
 2017 03  983·8
 2017 04  893.5


 2017 05  443.8
 2017 06  793·2
 2017 07  812·6
 2017 08  352.0
 2017 09  771.6
 2017 10  683·7
 2017 11  972·9
 2017 12  73.5
 2018 01 473.5
 2018 02 513.6
 2018 03 343.0
 2018 04 223.1
 2018 05 53·2
 2018 06 102.7
 2018 07 52.8
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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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