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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 01 325·1
 2000 02 174.6
 2000 03 734.9
 2000 04 905.3
 2000 05 833.9
 2000 06 683·5
 2000 07 634·0
 2000 08 163.1
 2000 09 574·0
 2000 10 733.9
 2000 11 94·5
 2000 12 974·4
 2001 01  44·7
 2001 02  154.7
 2001 03  263.3
 2001 04  763·9
 2001 05  03.7
 2001 06  04·0
 2001 07  504·1
 2001 08  244.4
 2001 09  444.1
 2001 10  594·0
 2001 11  454·9
 2001 12  344.2
 2002 01 624.7
 2002 02 505.1
 2002 03 994.3
 2002 04 264·8
 2002 05 54·5
 2002 06 534.3
 2002 07 254.1
 2002 08 433.5
 2002 09 483.6
 2002 10 763·7
 2002 11 604·9
 2002 12 554.5
 2003 01  914.2
 2003 02  513·6
 2003 03  683.7
 2003 04  563·7
 2003 05  604·6
 2003 06  334·8
 2003 07  353.9
 2003 08  653.5
 2003 09  53·2
 2003 10  42.7
 2003 11  763.4
 2003 12  263.8
 2004 01 24·0
 2004 02 726.0
 2004 03 284·2
 2004 04 85·2
 2004 05 504·0
 2004 06 682.8
 2004 07 542.9
 2004 08 62·9
 2004 09 753·5
 2004 10 483.3
 2004 11 424.3
 2004 12 384.2
 2005 01  294·4
 2005 02  944·7
 2005 03  54.2
 2005 04  504.9
 2005 05  854.2
 2005 06  125.7
 2005 07  804·1
 2005 08  94.5
 2005 09  454.2
 2005 10  354.9
 2005 11  313·9
 2005 12  103·7
 2006 01 343·7
 2006 02 194·4
 2006 03 454.5
 2006 04 723·3
 2006 05 14·2
 2006 06 463.7
 2006 07 353.6
 2006 08 404.1
 2006 09 243·0
 2006 10 224·5
 2006 11 404·3
 2006 12 825·5
 2007 01  15·2
 2007 02  795·4
 2007 03  224.1
 2007 04  924.5
 2007 05  594.1
 2007 06  733.4
 2007 07  683.7
 2007 08  913·9
 2007 09  484.3
 2007 10  863·9
 2007 11  933.9
 2007 12  213·1
 2008 01 433·6
 2008 02 264.1
 2008 03 334·6
 2008 04 524·9
 2008 05 444·3
 2008 06 224·7
 2008 07 524.8
 2008 08 784·7
 2008 09 784.1
 2008 10 333·5
 2008 11 373.5
 2008 12 193.9
 2009 01  933.4
 2009 02  403·7
 2009 03  23·4
 2009 04  183·9
 2009 05  673.8
 2009 06  493·6
 2009 07  853.2
 2009 08  453.7
 2009 09  993.3
 2009 10  912.2
 2009 11  472·9
 2009 12  931.7
 2010 01 143·5
 2010 02 252.7
 2010 03 783·0
 2010 04 824·0
 2010 05 633·8
 2010 06 312.9
 2010 07 893.9
 2010 08 574.4
 2010 09 213·4
 2010 10 163·5
 2010 11 193·6
 2010 12 852·3
 2011 01  893.0
 2011 02  113·6
 2011 03  324.0
 2011 04  613.7
 2011 05  923·6
 2011 06  743.9
 2011 07  132·9
 2011 08  52.2
 2011 09  813.7
 2011 10  853.5
 2011 11  784·1
 2011 12  614.0
 2012 01 313·6
 2012 02 524.2
 2012 03 633·9
 2012 04 974·0
 2012 05 413.5
 2012 06 62.7
 2012 07 313.4
 2012 08 83·2
 2012 09 393.7
 2012 10 43·6
 2012 11 703·9
 2012 12 134.4
 2013 01  734.4
 2013 02  274.6
 2013 03  933.8
 2013 04  573.2
 2013 05  204·4
 2013 06  834·0
 2013 07  394.1
 2013 08  73·8
 2013 09  803.7
 2013 10  22.9
 2013 11  693·5
 2013 12  594·1
 2014 01 783.6
 2014 02 414·6
 2014 03 724.3
 2014 04 313·3
 2014 05 653·7
 2014 06 833·7
 2014 07 613.5
 2014 08 683·5
 2014 09 153.5
 2014 10 334.0
 2014 11 743·9
 2014 12 392.7
 2015 01  303.3
 2015 02  233.6
 2015 03  723·8
 2015 04  384.1
 2015 05  353.9
 2015 06  103·5
 2015 07  463·2
 2015 08  842.8
 2015 09  803·8
 2015 10  763·8
 2015 11  63.5
 2015 12  214·6
 2016 01 402·9
 2016 02 273.3
 2016 03 923·9
 2016 04 193·7
 2016 05 163.8
 2016 06 943·7
 2016 07 654·9
 2016 08 715·0
 2016 09 344·1
 2016 10 363.5
 2016 11 153.9
 2016 12 973·4
 2017 01  443.3
 2017 02  323·4


 2017 03  533·5
 2017 04  404·3
 2017 05  203·9
 2017 06  902.9
 2017 07  182·9
 2017 08  712.9
 2017 09  642.8
 2017 10  413.1
 2017 11  733·1
 2017 12  824.2
 2018 01 13·1
 2018 02 433.7
 2018 03 53.1
 2018 04 942·5
 2018 05 822.6
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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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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