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 Series Title: Employment Level: Multiple Jobholders, Asian Men: 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 53111.
 2000 02 099·
 2000 03 70117.
 2000 04 45142.
 2000 05 3495·
 2000 06 48128·
 2000 07 98132·
 2000 08 27116.
 2000 09 57137·
 2000 10 69112.
 2000 11 2128.
 2000 12 82117.
 2001 01  71113·
 2001 02  45119.
 2001 03  95148·
 2001 04  55164·
 2001 05  52121·
 2001 06  83154·
 2001 07  15112·
 2001 08  16119·
 2001 09  1138.
 2001 10  14128·
 2001 11  24108.
 2001 12  57105·
 2002 01 43100.
 2002 02 95131·
 2002 03 11151·
 2002 04 98134.
 2002 05 28116.
 2002 06 8125.
 2002 07 88116·
 2002 08 84106·
 2002 09 31118·
 2002 10 5999.
 2002 11 93116.
 2002 12 84105.
 2003 01  5477.
 2003 02  80106·
 2003 03  90103·
 2003 04  9199.
 2003 05  21117.
 2003 06  2887·
 2003 07  6595·
 2003 08  24103·
 2003 09  83105.
 2003 10  8480.
 2003 11  3377.
 2003 12  2999·
 2004 01 1682·
 2004 02 54115.
 2004 03 30118·
 2004 04 74105·
 2004 05 18113·
 2004 06 72119·
 2004 07 20135·
 2004 08 53115·
 2004 09 17103·
 2004 10 9298·
 2004 11 90156·
 2004 12 85155.
 2005 01  63133.
 2005 02  98148·
 2005 03  54106·
 2005 04  1584·
 2005 05  3092.
 2005 06  94109.
 2005 07  50123.
 2005 08  12134.
 2005 09  19129.
 2005 10  14177.
 2005 11  40154·
 2005 12  69152·
 2006 01 56155·
 2006 02 14150·
 2006 03 11118.
 2006 04 6135·
 2006 05 91113·
 2006 06 74133.
 2006 07 78134·
 2006 08 67122.
 2006 09 0115.
 2006 10 3114.
 2006 11 78106.
 2006 12 22125.
 2007 01  82116.
 2007 02  32144.
 2007 03  74155.
 2007 04  63106·
 2007 05  63124·
 2007 06  17109.
 2007 07  53135·
 2007 08  12117·
 2007 09  94103.
 2007 10  3997·
 2007 11  2995.
 2007 12  11133.
 2008 01 49102.
 2008 02 7131·
 2008 03 40132.
 2008 04 29144.
 2008 05 30126·
 2008 06 50115.
 2008 07 48109·
 2008 08 62136·
 2008 09 62118·
 2008 10 26104·
 2008 11 4190.
 2008 12 27109.
 2009 01  95111.
 2009 02  1797.
 2009 03  32105.
 2009 04  70127·
 2009 05  4142.
 2009 06  29124·
 2009 07  6083·
 2009 08  59107·
 2009 09  91128.
 2009 10  9496·
 2009 11  86104·
 2009 12  88106·
 2010 01 79101·
 2010 02 6879·
 2010 03 99113.
 2010 04 78119.
 2010 05 2088·
 2010 06 3390·
 2010 07 1274·
 2010 08 7080·
 2010 09 9091.
 2010 10 96117·
 2010 11 6390·
 2010 12 36107·
 2011 01  8796.
 2011 02  88101.
 2011 03  14106·
 2011 04  6998·
 2011 05  3999·
 2011 06  6692·
 2011 07  53109.
 2011 08  88120.
 2011 09  9497.
 2011 10  1290·
 2011 11  9495·
 2011 12  3799·
 2012 01 3093·
 2012 02 32118·
 2012 03 74106·
 2012 04 86100.
 2012 05 45128.
 2012 06 58116.
 2012 07 56115.
 2012 08 28118·
 2012 09 66123·
 2012 10 4690·
 2012 11 28123·
 2012 12 83158.
 2013 01  43135·
 2013 02  79160·
 2013 03  3128·
 2013 04  95110.
 2013 05  50132.
 2013 06  62122·
 2013 07  19122.
 2013 08  33108·
 2013 09  90100.
 2013 10  28106·
 2013 11  38113.
 2013 12  9186·
 2014 01 8684.
 2014 02 33135·
 2014 03 49161·
 2014 04 88169·
 2014 05 90182.
 2014 06 59147.
 2014 07 64110.
 2014 08 69124·
 2014 09 76105.
 2014 10 12134·
 2014 11 22124·
 2014 12 2118·
 2015 01  46119.
 2015 02  2499.
 2015 03  8594·
 2015 04  82121·
 2015 05  2496.
 2015 06  51117·
 2015 07  41139·
 2015 08  28130.
 2015 09  61156·
 2015 10  76131.
 2015 11  3120.
 2015 12  84127.
 2016 01 32150.
 2016 02 5113.
 2016 03 8138.
 2016 04 18109.
 2016 05 38114.
 2016 06 70142·
 2016 07 21172·
 2016 08 27161.
 2016 09 4182.
 2016 10 27146·
 2016 11 28135·
 2016 12 27158·
 2017 01  80152·
 2017 02  57165·


 2017 03  43187·
 2017 04  65174.
 2017 05  43186.
 2017 06  68160.
 2017 07  3128·
 2017 08  7102.
 2017 09  9284.
 2017 10  92188·
 2017 11  72142.
 2017 12  50179.
 2018 01 52178.
 2018 02 84183·
 2018 03 36155·
 2018 04 12164·
 2018 05 74167.
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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: Employment Level: Multiple Jobholders, 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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