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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 01 865.1
 2000 02 134.6
 2000 03 474·9
 2000 04 535·3
 2000 05 203·9
 2000 06 403·5
 2000 07 64·0
 2000 08 423·1
 2000 09 524.0
 2000 10 973·9
 2000 11 984·5
 2000 12 614.4
 2001 01  314·7
 2001 02  654.7
 2001 03  343.3
 2001 04  553·9
 2001 05  343.7
 2001 06  514·0
 2001 07  544.1
 2001 08  914·4
 2001 09  614.1
 2001 10  864·0
 2001 11  194·9
 2001 12  654·2
 2002 01 374.7
 2002 02 285.1
 2002 03 184·3
 2002 04 954·8
 2002 05 124·5
 2002 06 584·3
 2002 07 634.1
 2002 08 263.5
 2002 09 623.6
 2002 10 823.7
 2002 11 934·9
 2002 12 274·5
 2003 01  884.2
 2003 02  323·6
 2003 03  713·7
 2003 04  913.7
 2003 05  144·6
 2003 06  664·8
 2003 07  833·9
 2003 08  393.5
 2003 09  913·2
 2003 10  642.7
 2003 11  443·4
 2003 12  143.8
 2004 01 954.0
 2004 02 336.0
 2004 03 914·2
 2004 04 855·2
 2004 05 264.0
 2004 06 42.8
 2004 07 872·9
 2004 08 462.9
 2004 09 93.5
 2004 10 353.3
 2004 11 204.3
 2004 12 174·2
 2005 01  954·4
 2005 02  84.7
 2005 03  24·2
 2005 04  424.9
 2005 05  584·2
 2005 06  285·7
 2005 07  734·1
 2005 08  904·5
 2005 09  14.2
 2005 10  274·9
 2005 11  933.9
 2005 12  553·7
 2006 01 473.7
 2006 02 624·4
 2006 03 524.5
 2006 04 563.3
 2006 05 474·2
 2006 06 153.7
 2006 07 633·6
 2006 08 374.1
 2006 09 773·0
 2006 10 924·5
 2006 11 624.3
 2006 12 685.5
 2007 01  375.2
 2007 02  255.4
 2007 03  144.1
 2007 04  424·5
 2007 05  524.1
 2007 06  703.4
 2007 07  53.7
 2007 08  793.9
 2007 09  734.3
 2007 10  103.9
 2007 11  503.9
 2007 12  233.1
 2008 01 753·6
 2008 02 504·1
 2008 03 854.6
 2008 04 434·9
 2008 05 594.3
 2008 06 234·7
 2008 07 744.8
 2008 08 334.7
 2008 09 504·1
 2008 10 853.5
 2008 11 43·5
 2008 12 123·9
 2009 01  983·4
 2009 02  183·7
 2009 03  893.4
 2009 04  253·9
 2009 05  793·8
 2009 06  283·6
 2009 07  663.2
 2009 08  403·7
 2009 09  933·3
 2009 10  472.2
 2009 11  992.9
 2009 12  521·7
 2010 01 663.5
 2010 02 312.7
 2010 03 743.0
 2010 04 804·0
 2010 05 473.8
 2010 06 632·9
 2010 07 63·9
 2010 08 684.4
 2010 09 133.4
 2010 10 493.5
 2010 11 313.6
 2010 12 852·3
 2011 01  643.0
 2011 02  213·6
 2011 03  134·0
 2011 04  253.7
 2011 05  243·6
 2011 06  353·9
 2011 07  402·9
 2011 08  82.2
 2011 09  453.7
 2011 10  723.5
 2011 11  244.1
 2011 12  774.0
 2012 01 23·6
 2012 02 414.2
 2012 03 43.9
 2012 04 24·0
 2012 05 963.5
 2012 06 712·7
 2012 07 423·4
 2012 08 773.2
 2012 09 503.7
 2012 10 203.6
 2012 11 263·9
 2012 12 204.4
 2013 01  174·4
 2013 02  694·6
 2013 03  693.8
 2013 04  773.2
 2013 05  724.4
 2013 06  264.0
 2013 07  104·1
 2013 08  163·8
 2013 09  143.7
 2013 10  212.9
 2013 11  103·5
 2013 12  324.1
 2014 01 693·6
 2014 02 124.6
 2014 03 584.3
 2014 04 433·3
 2014 05 883·7
 2014 06 793·7
 2014 07 673.5
 2014 08 943·5
 2014 09 463·5
 2014 10 304·0
 2014 11 743·9
 2014 12 532.7
 2015 01  443·3
 2015 02  973·6
 2015 03  433·8
 2015 04  164·1
 2015 05  63.9
 2015 06  353·5
 2015 07  613.2
 2015 08  02.8
 2015 09  833·8
 2015 10  273.8
 2015 11  413·5
 2015 12  514.6
 2016 01 512.9
 2016 02 793.3
 2016 03 223.9
 2016 04 383.7
 2016 05 103·8
 2016 06 233·7
 2016 07 654.9
 2016 08 535.0
 2016 09 854·1
 2016 10 153·5
 2016 11 603·9
 2016 12 183·4
 2017 01  273·3
 2017 02  383.4
 2017 03  183·5
 2017 04  754·3
 2017 05  113·9
 2017 06  972.9


 2017 07  782·9
 2017 08  942·9
 2017 09  372.8
 2017 10  253·1
 2017 11  23.1
 2017 12  694·2
 2018 01 323·1
 2018 02 783·7
 2018 03 793.1
 2018 04 202·5
 2018 05 442·6
 2018 06 372·9
 2018 07 223·3
 2018 08 903·0
 2018 09 513·1
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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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