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 Series Title: Multiple Jobholders as a Percent of Employed, Asian Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 252.5
 2012 03 162·7
 2012 02 753·0
 2012 01 782·3
 2011 12  272·7
 2011 11  272.6
 2011 10  842·4
 2011 09  332·6
 2011 08  903.3
 2011 07  313·0
 2011 06  882.5
 2011 05  802·7
 2011 04  642.7
 2011 03  92·9
 2011 02  02.7
 2011 01  642.6
 2010 12 232·9
 2010 11 662.5
 2010 10 573·2
 2010 09 542.5
 2010 08 692·2
 2010 07 372·0
 2010 06 222·5
 2010 05 442.5
 2010 04 263·3
 2010 03 753.1
 2010 02 842.3
 2010 01 522.9
 2009 12  453·0
 2009 11  653·0
 2009 10  542·7
 2009 09  243·6
 2009 08  23.0
 2009 07  112·3
 2009 06  723·4
 2009 05  284·0
 2009 04  963·6
 2009 03  463·0
 2009 02  02·7
 2009 01  583.1
 2008 12 543.0
 2008 11 272.5
 2008 10 252·8
 2008 09 343.2
 2008 08 253·6
 2008 07 342.9
 2008 06 613.1
 2008 05 03·4
 2008 04 863·9
 2008 03 753·6
 2008 02 463.6
 2008 01 242.8
 2007 12  353.6
 2007 11  812·5
 2007 10  422·6
 2007 09  22·8
 2007 08  03·1
 2007 07  103.6
 2007 06  383·0
 2007 05  513.4
 2007 04  293.0
 2007 03  414.3
 2007 02  453.9
 2007 01  173.2
 2006 12 03.5
 2006 11 833·1
 2006 10 33·2
 2006 09 683·1
 2006 08 113.4
 2006 07 673·8
 2006 06 743.8
 2006 05 983.3
 2006 04 883.9
 2006 03 493·4
 2006 02 464.3
 2006 01 284.5
 2005 12  834·4
 2005 11  124.5
 2005 10  315.1
 2005 09  03·8
 2005 08  693·9
 2005 07  613.6
 2005 06  683.3
 2005 05  842·8
 2005 04  482.5
 2005 03  283·2
 2005 02  204.5
 2005 01  744.1
 2004 12 454.7
 2004 11 714·7
 2004 10 753·0
 2004 09 893·2
 2004 08 103.5
 2004 07 704·1
 2004 06 443·7
 2004 05 743.5
 2004 04 183.3
 2004 03 323·6
 2004 02 673·6
 2004 01 972·6
 2003 12  713·2
 2003 11  902·5
 2003 10  62·6
 2003 09  533·4
 2003 08  933.3
 2003 07  993·1
 2003 06  492.9
 2003 05  603·8
 2003 04  363.2
 2003 03  413·4
 2003 02  93.5
 2003 01  642·5
 2002 12 733·1
 2002 11 233·4
 2002 10 242.9
 2002 09 333.4
 2002 08 63·1
 2002 07 773.4
 2002 06 573·7
 2002 05 613.5
 2002 04 604·1
 2002 03 594.6
 2002 02 954·1
 2002 01 673·1
 2001 12  853·3
 2001 11  503.3
 2001 10  513·9
 2001 09  954.1
 2001 08  583.5
 2001 07  583·2
 2001 06  644.5
 2001 05  163·6
 2001 04  774·9
 2001 03  144.4
 2001 02  973.5
 2001 01  223.4
 2000 12 693.5
 2000 11 753.9
 2000 10 363.4
 2000 09 334·2
 2000 08 843.5
 2000 07 234·0
 2000 06 963.9
 2000 05 933.0
 2000 04 984·4
 2000 03 633·8
 2000 02 133·2
 2000 01 713·6
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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 Men: 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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