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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 01 815·1
 2000 02 194.6
 2000 03 944·9
 2000 04 465·3
 2000 05 393.9
 2000 06 393.5
 2000 07 164.0
 2000 08 663·1
 2000 09 704.0
 2000 10 643.9
 2000 11 444.5
 2000 12 914.4
 2001 01  244.7
 2001 02  764·7
 2001 03  933·3
 2001 04  653·9
 2001 05  773.7
 2001 06  804·0
 2001 07  994.1
 2001 08  584.4
 2001 09  284·1
 2001 10  94·0
 2001 11  274.9
 2001 12  624.2
 2002 01 34·7
 2002 02 195·1
 2002 03 634·3
 2002 04 994.8
 2002 05 534.5
 2002 06 924.3
 2002 07 204.1
 2002 08 103.5
 2002 09 533·6
 2002 10 353.7
 2002 11 374.9
 2002 12 674.5
 2003 01  34·2
 2003 02  793.6
 2003 03  773·7
 2003 04  623.7
 2003 05  294·6
 2003 06  804.8
 2003 07  273.9
 2003 08  163.5
 2003 09  813·2
 2003 10  212·7
 2003 11  03·4
 2003 12  713·8
 2004 01 354.0
 2004 02 96.0
 2004 03 344·2
 2004 04 985.2
 2004 05 904.0
 2004 06 742.8
 2004 07 922·9
 2004 08 912.9
 2004 09 733·5
 2004 10 733·3
 2004 11 624.3
 2004 12 684.2
 2005 01  334·4
 2005 02  894·7
 2005 03  564.2
 2005 04  734.9
 2005 05  464·2
 2005 06  275·7
 2005 07  144·1
 2005 08  774.5
 2005 09  134·2
 2005 10  204·9
 2005 11  963·9
 2005 12  733·7
 2006 01 593·7
 2006 02 234·4
 2006 03 924.5
 2006 04 793·3
 2006 05 344·2
 2006 06 193·7
 2006 07 153.6
 2006 08 414·1
 2006 09 133.0
 2006 10 154.5
 2006 11 24·3
 2006 12 285.5
 2007 01  985.2
 2007 02  415.4
 2007 03  154.1
 2007 04  334.5
 2007 05  134·1
 2007 06  553·4
 2007 07  443·7
 2007 08  763.9
 2007 09  84·3
 2007 10  383.9
 2007 11  13.9
 2007 12  13.1
 2008 01 603.6
 2008 02 964·1
 2008 03 234.6
 2008 04 764.9
 2008 05 694·3
 2008 06 634·7
 2008 07 744.8
 2008 08 974·7
 2008 09 594.1
 2008 10 933.5
 2008 11 413·5
 2008 12 833.9
 2009 01  823.4
 2009 02  693·7
 2009 03  383·4
 2009 04  763.9
 2009 05  133·8
 2009 06  973.6
 2009 07  33·2
 2009 08  473.7
 2009 09  513.3
 2009 10  102.2
 2009 11  972·9
 2009 12  901·7
 2010 01 233.5
 2010 02 632.7
 2010 03 103.0
 2010 04 244·0
 2010 05 803.8
 2010 06 382.9
 2010 07 533.9
 2010 08 934.4
 2010 09 953.4
 2010 10 433·5
 2010 11 653.6
 2010 12 652.3
 2011 01  703.0
 2011 02  83·6
 2011 03  104·0
 2011 04  373·7
 2011 05  303.6
 2011 06  903·9
 2011 07  732.9
 2011 08  252·2
 2011 09  263·7
 2011 10  713·5
 2011 11  704.1
 2011 12  754.0
 2012 01 333·6
 2012 02 574·2
 2012 03 373.9
 2012 04 564·0
 2012 05 503.5
 2012 06 812·7
 2012 07 373·4
 2012 08 623·2
 2012 09 53·7
 2012 10 983.6
 2012 11 583.9
 2012 12 114.4
 2013 01  464·4
 2013 02  914·6
 2013 03  143·8
 2013 04  493·2
 2013 05  504·4
 2013 06  664·0
 2013 07  414·1
 2013 08  443·8
 2013 09  173.7
 2013 10  552.9
 2013 11  43.5
 2013 12  904.1
 2014 01 723.6
 2014 02 144.6
 2014 03 894.3
 2014 04 73.3
 2014 05 663.7
 2014 06 243.7
 2014 07 103·5
 2014 08 393·5
 2014 09 733.5
 2014 10 944.0
 2014 11 43·9
 2014 12 542·7
 2015 01  953.3
 2015 02  543·6
 2015 03  353.8
 2015 04  484.1
 2015 05  573.9
 2015 06  613·5
 2015 07  903·2
 2015 08  382·8
 2015 09  93·8
 2015 10  963·8
 2015 11  833·5
 2015 12  704·6
 2016 01 262·9
 2016 02 663·3
 2016 03 503.9
 2016 04 123·7
 2016 05 103.8
 2016 06 43.7
 2016 07 564.9
 2016 08 595.0
 2016 09 854·1
 2016 10 643·5
 2016 11 873.9
 2016 12 293·4
 2017 01  13·3
 2017 02  303·4
 2017 03  583.5
 2017 04  674·3


 2017 05  353.9
 2017 06  82.9
 2017 07  52·9
 2017 08  422·9
 2017 09  862·8
 2017 10  293.1
 2017 11  913·1
 2017 12  484.2
 2018 01 803.1
 2018 02 503.7
 2018 03 53.1
 2018 04 42.5
 2018 05 672.6
 2018 06 522.9
 2018 07 603.3
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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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