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 Series Title: Multiple Jobholders as a Percent of Employed, Asian: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 473.2
 2012 03 873·3
 2012 02 93.6
 2012 01 53.0
 2011 12  903·3
 2011 11  783.3
 2011 10  892·9
 2011 09  723.1
 2011 08  542.8
 2011 07  243.0
 2011 06  263·1
 2011 05  933·1
 2011 04  923.2
 2011 03  63.4
 2011 02  333.1
 2011 01  132.8
 2010 12 782·6
 2010 11 323.0
 2010 10 493·3
 2010 09 12.9
 2010 08 133·2
 2010 07 322·9
 2010 06 342·7
 2010 05 523·1
 2010 04 223·6
 2010 03 633.1
 2010 02 792.5
 2010 01 843·2
 2009 12  552·4
 2009 11  72.9
 2009 10  952.5
 2009 09  423·5
 2009 08  893·3
 2009 07  712.7
 2009 06  213·5
 2009 05  953.9
 2009 04  233.7
 2009 03  863·2
 2009 02  193.2
 2009 01  363.2
 2008 12 823·4
 2008 11 92·9
 2008 10 783.1
 2008 09 863.6
 2008 08 184.1
 2008 07 213.7
 2008 06 93.9
 2008 05 883·8
 2008 04 54·4
 2008 03 294·1
 2008 02 523·8
 2008 01 113·1
 2007 12  443.4
 2007 11  663·2
 2007 10  683.2
 2007 09  493.5
 2007 08  603·5
 2007 07  863·6
 2007 06  473·1
 2007 05  223·7
 2007 04  43·7
 2007 03  734.2
 2007 02  04.6
 2007 01  744.1
 2006 12 514.4
 2006 11 323.6
 2006 10 663·8
 2006 09 743·1
 2006 08 13.7
 2006 07 963·7
 2006 06 73·7
 2006 05 153.7
 2006 04 803.6
 2006 03 203·9
 2006 02 124·4
 2006 01 184.1
 2005 12  394·1
 2005 11  884·2
 2005 10  935.0
 2005 09  264.0
 2005 08  524·2
 2005 07  43·8
 2005 06  884.5
 2005 05  93.5
 2005 04  203.6
 2005 03  13.7
 2005 02  614·6
 2005 01  604.2
 2004 12 694.5
 2004 11 364.5
 2004 10 983·2
 2004 09 993.3
 2004 08 483.2
 2004 07 903.6
 2004 06 133·3
 2004 05 703·7
 2004 04 334·2
 2004 03 703.9
 2004 02 444.7
 2004 01 423.3
 2003 12  263·5
 2003 11  72.9
 2003 10  542·7
 2003 09  93·3
 2003 08  503·4
 2003 07  593·5
 2003 06  303·8
 2003 05  904·2
 2003 04  563·4
 2003 03  63.5
 2003 02  853.5
 2003 01  303.3
 2002 12 203·7
 2002 11 564·1
 2002 10 583·2
 2002 09 973·5
 2002 08 423·3
 2002 07 393.7
 2002 06 114·0
 2002 05 864·0
 2002 04 484.4
 2002 03 134.5
 2002 02 324.6
 2002 01 163.9
 2001 12  883·7
 2001 11  604·0
 2001 10  343·9
 2001 09  314·1
 2001 08  373.9
 2001 07  853.6
 2001 06  554·3
 2001 05  03.7
 2001 04  964·4
 2001 03  213.9
 2001 02  584·1
 2001 01  174.0
 2000 12 893.9
 2000 11 244·1
 2000 10 313·7
 2000 09 24.1
 2000 08 693·3
 2000 07 774.0
 2000 06 863.7
 2000 05 983·4
 2000 04 94.8
 2000 03 844·3
 2000 02 613·8
 2000 01 754·3
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: 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: 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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