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 Series Title: Employment Level: Multiple Jobholders, Asian Men: NSA
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 2000 01 32111·
 2000 02 1399·
 2000 03 53117·
 2000 04 41142.
 2000 05 9395.
 2000 06 23128·
 2000 07 52132.
 2000 08 26116·
 2000 09 76137·
 2000 10 88112·
 2000 11 7128.
 2000 12 66117·
 2001 01  33113.
 2001 02  89119.
 2001 03  33148·
 2001 04  5164.
 2001 05  37121.
 2001 06  33154.
 2001 07  67112.
 2001 08  12119.
 2001 09  91138·
 2001 10  52128·
 2001 11  72108.
 2001 12  82105·
 2002 01 19100·
 2002 02 2131.
 2002 03 35151·
 2002 04 33134.
 2002 05 71116·
 2002 06 65125·
 2002 07 70116.
 2002 08 9106.
 2002 09 23118·
 2002 10 4799·
 2002 11 15116.
 2002 12 81105.
 2003 01  7677·
 2003 02  81106.
 2003 03  32103·
 2003 04  4199·
 2003 05  54117.
 2003 06  2387.
 2003 07  995.
 2003 08  9103·
 2003 09  8105.
 2003 10  5480·
 2003 11  5977.
 2003 12  3099.
 2004 01 1482.
 2004 02 81115.
 2004 03 20118·
 2004 04 71105.
 2004 05 72113.
 2004 06 36119·
 2004 07 56135.
 2004 08 29115·
 2004 09 7103.
 2004 10 7598.
 2004 11 53156·
 2004 12 20155·
 2005 01  69133.
 2005 02  80148.
 2005 03  25106.
 2005 04  9184.
 2005 05  3592·
 2005 06  59109.
 2005 07  10123·
 2005 08  10134·
 2005 09  4129.
 2005 10  41177·
 2005 11  70154·
 2005 12  70152.
 2006 01 2155.
 2006 02 84150·
 2006 03 93118.
 2006 04 92135.
 2006 05 79113.
 2006 06 70133·
 2006 07 93134.
 2006 08 19122.
 2006 09 11115·
 2006 10 5114·
 2006 11 7106·
 2006 12 20125.
 2007 01  98116.
 2007 02  22144·
 2007 03  98155.
 2007 04  90106.
 2007 05  65124.
 2007 06  75109.
 2007 07  54135.
 2007 08  48117.
 2007 09  63103.
 2007 10  4897.
 2007 11  8895.
 2007 12  37133.
 2008 01 68102·
 2008 02 47131.
 2008 03 38132·
 2008 04 28144·
 2008 05 79126·
 2008 06 3115·
 2008 07 66109·
 2008 08 14136.
 2008 09 21118.
 2008 10 73104.
 2008 11 6190·
 2008 12 14109.
 2009 01  46111.
 2009 02  3997·
 2009 03  35105·
 2009 04  72127·
 2009 05  29142.
 2009 06  7124.
 2009 07  2783·
 2009 08  58107.
 2009 09  70128.
 2009 10  996·
 2009 11  99104·
 2009 12  66106.
 2010 01 95101·
 2010 02 279·
 2010 03 38113.
 2010 04 14119·
 2010 05 5388.
 2010 06 6890.
 2010 07 5974·
 2010 08 4880.
 2010 09 2191·
 2010 10 12117.
 2010 11 9990.
 2010 12 36107·
 2011 01  9996·
 2011 02  66101·
 2011 03  21106·
 2011 04  7298·
 2011 05  1199.
 2011 06  8892·
 2011 07  12109.
 2011 08  75120.
 2011 09  997.
 2011 10  5990.
 2011 11  8595.
 2011 12  9099·
 2012 01 6893.
 2012 02 86118·
 2012 03 80106.
 2012 04 86100·
 2012 05 88128.
 2012 06 99116·
 2012 07 57115.
 2012 08 56118.
 2012 09 95123·
 2012 10 5690.
 2012 11 6123.
 2012 12 20158·
 2013 01  39135.
 2013 02  39160.
 2013 03  39128·
 2013 04  23110.
 2013 05  95132.
 2013 06  54122.
 2013 07  94122·
 2013 08  33108.
 2013 09  64100·
 2013 10  32106·
 2013 11  33113·
 2013 12  4486.
 2014 01 7284·
 2014 02 31135·
 2014 03 46161.
 2014 04 76169.
 2014 05 68182.
 2014 06 32147.
 2014 07 44110.
 2014 08 72124·
 2014 09 28105·
 2014 10 41134.
 2014 11 66124·
 2014 12 2118·
 2015 01  52119·
 2015 02  9199·
 2015 03  7494·
 2015 04  61121.
 2015 05  6696.
 2015 06  37117·
 2015 07  57139·
 2015 08  66130·
 2015 09  20156·
 2015 10  62131.
 2015 11  26120.
 2015 12  63127·
 2016 01 90150.
 2016 02 73113.
 2016 03 21138.
 2016 04 19109.
 2016 05 76114·
 2016 06 0142.
 2016 07 4172·
 2016 08 31161·
 2016 09 3182·
 2016 10 0146.
 2016 11 63135.
 2016 12 16158.
 2017 01  22152·
 2017 02  56165.
 2017 03  11187·
 2017 04  19174·


 2017 05  8186·
 2017 06  74160.
 2017 07  85128·
 2017 08  9102·
 2017 09  6184.
 2017 10  84188·
 2017 11  49142.
 2017 12  80179.
 2018 01 7178.
 2018 02 45183.
 2018 03 90155.
 2018 04 51164·
 2018 05 97167.
 2018 06 38142·
 2018 07 22146·
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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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