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 Series Title: Multiple Jobholders as a Percent of Employed, Asian Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 985·1
 2000 02 534.6
 2000 03 354.9
 2000 04 665.3
 2000 05 923.9
 2000 06 603.5
 2000 07 204.0
 2000 08 523·1
 2000 09 154.0
 2000 10 283.9
 2000 11 694.5
 2000 12 984·4
 2001 01  174.7
 2001 02  394·7
 2001 03  933.3
 2001 04  503·9
 2001 05  743.7
 2001 06  04·0
 2001 07  324.1
 2001 08  774.4
 2001 09  864·1
 2001 10  414.0
 2001 11  484.9
 2001 12  724·2
 2002 01 784.7
 2002 02 195·1
 2002 03 304.3
 2002 04 544·8
 2002 05 14.5
 2002 06 174·3
 2002 07 884.1
 2002 08 693.5
 2002 09 313.6
 2002 10 413.7
 2002 11 634.9
 2002 12 844·5
 2003 01  664.2
 2003 02  223.6
 2003 03  163·7
 2003 04  953·7
 2003 05  344.6
 2003 06  174·8
 2003 07  363.9
 2003 08  203.5
 2003 09  843·2
 2003 10  82·7
 2003 11  363·4
 2003 12  43.8
 2004 01 924·0
 2004 02 16.0
 2004 03 524·2
 2004 04 155·2
 2004 05 584·0
 2004 06 282·8
 2004 07 492.9
 2004 08 472.9
 2004 09 83·5
 2004 10 463.3
 2004 11 144.3
 2004 12 214.2
 2005 01  914·4
 2005 02  374·7
 2005 03  604.2
 2005 04  804·9
 2005 05  844.2
 2005 06  65.7
 2005 07  244.1
 2005 08  924·5
 2005 09  864·2
 2005 10  864·9
 2005 11  713·9
 2005 12  533·7
 2006 01 243.7
 2006 02 334.4
 2006 03 874.5
 2006 04 823·3
 2006 05 474.2
 2006 06 283·7
 2006 07 863.6
 2006 08 224·1
 2006 09 313·0
 2006 10 804·5
 2006 11 54·3
 2006 12 425·5
 2007 01  765·2
 2007 02  185.4
 2007 03  84.1
 2007 04  384·5
 2007 05  84·1
 2007 06  03·4
 2007 07  813.7
 2007 08  273·9
 2007 09  774.3
 2007 10  83·9
 2007 11  393·9
 2007 12  553.1
 2008 01 583·6
 2008 02 484.1
 2008 03 194.6
 2008 04 894·9
 2008 05 524·3
 2008 06 514.7
 2008 07 844·8
 2008 08 264.7
 2008 09 854·1
 2008 10 753.5
 2008 11 213.5
 2008 12 823·9
 2009 01  53.4
 2009 02  13.7
 2009 03  443·4
 2009 04  43·9
 2009 05  903.8
 2009 06  353.6
 2009 07  913.2
 2009 08  593·7
 2009 09  403.3
 2009 10  102.2
 2009 11  242·9
 2009 12  421·7
 2010 01 793.5
 2010 02 812.7
 2010 03 323·0
 2010 04 734.0
 2010 05 583.8
 2010 06 322.9
 2010 07 273·9
 2010 08 944·4
 2010 09 533·4
 2010 10 673.5
 2010 11 473·6
 2010 12 762·3
 2011 01  643.0
 2011 02  193.6
 2011 03  554·0
 2011 04  133.7
 2011 05  163·6
 2011 06  453·9
 2011 07  382.9
 2011 08  232·2
 2011 09  603·7
 2011 10  253·5
 2011 11  114.1
 2011 12  514·0
 2012 01 713.6
 2012 02 684.2
 2012 03 103.9
 2012 04 664.0
 2012 05 493·5
 2012 06 42·7
 2012 07 993.4
 2012 08 613·2
 2012 09 203.7
 2012 10 893·6
 2012 11 663.9
 2012 12 584·4
 2013 01  354·4
 2013 02  74.6
 2013 03  233.8
 2013 04  983·2
 2013 05  684.4
 2013 06  634·0
 2013 07  84.1
 2013 08  523.8
 2013 09  213.7
 2013 10  892·9
 2013 11  843·5
 2013 12  144.1
 2014 01 183.6
 2014 02 414·6
 2014 03 394·3
 2014 04 23·3
 2014 05 93·7
 2014 06 23.7
 2014 07 863·5
 2014 08 623.5
 2014 09 713.5
 2014 10 774·0
 2014 11 633.9
 2014 12 612.7
 2015 01  43.3
 2015 02  993.6
 2015 03  333.8
 2015 04  954.1
 2015 05  333·9
 2015 06  243.5
 2015 07  833.2
 2015 08  822.8
 2015 09  83.8
 2015 10  343.8
 2015 11  273·5
 2015 12  674.6
 2016 01 52·9
 2016 02 363.3
 2016 03 23.9
 2016 04 183.7
 2016 05 243·8
 2016 06 603.7
 2016 07 714·9
 2016 08 305.0
 2016 09 904·1
 2016 10 643·5
 2016 11 233·9
 2016 12 223·4
 2017 01  553·3
 2017 02  303.4
 2017 03  693.5
 2017 04  384·3
 2017 05  933.9
 2017 06  632.9
 2017 07  492.9
 2017 08  472.9
 2017 09  52·8


 2017 10  973.1
 2017 11  243.1
 2017 12  434·2
 2018 01 163·1
 2018 02 863.7
 2018 03 833.1
 2018 04 462·5
 2018 05 762.6
 2018 06 142·9
 2018 07 393.3
 2018 08 03·0
 2018 09 613·1
 2018 10 853·1
 2018 11 293.4
 2018 12 733.6
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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 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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