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 Series Title: Unemployment rate: 16 to 24 years, Asian: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2003 01  379·2
 2003 02  7212.1
 2003 03  218.3
 2003 04  439.3
 2003 05  2111.9
 2003 06  4117·7
 2003 07  8913·2
 2003 08  839·6
 2003 09  2111·7
 2003 10  5813.6
 2003 11  97.9
 2003 12  738·5
 2004 01 888.4
 2004 02 66·7
 2004 03 929.8
 2004 04 559·0
 2004 05 978.1
 2004 06 9014·2
 2004 07 778·6
 2004 08 994·5
 2004 09 4910·5
 2004 10 4212·0
 2004 11 269·7
 2004 12 999.4
 2005 01  685·7
 2005 02  207·3
 2005 03  288·1
 2005 04  756·1
 2005 05  69·4
 2005 06  410.5
 2005 07  9512·0
 2005 08  707·7
 2005 09  378·0
 2005 10  25·5
 2005 11  665.5
 2005 12  537·8
 2006 01 639·3
 2006 02 456·5
 2006 03 35.5
 2006 04 196·6
 2006 05 76·1
 2006 06 8911.5
 2006 07 938·2
 2006 08 878.9
 2006 09 227·4
 2006 10 164·8
 2006 11 519·6
 2006 12 15·2
 2007 01  828·4
 2007 02  345.8
 2007 03  144·6
 2007 04  296.3
 2007 05  886·6
 2007 06  728.7
 2007 07  447·7
 2007 08  678.6
 2007 09  657.2
 2007 10  899.1
 2007 11  307·2
 2007 12  345·8
 2008 01 635.1
 2008 02 666·3
 2008 03 844.1
 2008 04 736·3
 2008 05 589·9
 2008 06 913·1
 2008 07 448.4
 2008 08 5310·6
 2008 09 507.1
 2008 10 517.1
 2008 11 7410·1
 2008 12 699.4
 2009 01  6412·7
 2009 02  4713·7
 2009 03  619.6
 2009 04  4012.8
 2009 05  5216.9
 2009 06  7918·7
 2009 07  1916·3
 2009 08  1116.2
 2009 09  8818·6
 2009 10  5415·8
 2009 11  8412·3
 2009 12  4913·7
 2010 01 7314·1
 2010 02 417.0
 2010 03 2013·1
 2010 04 5013·8
 2010 05 3214·9
 2010 06 8616·4
 2010 07 1421.6
 2010 08 3215.6
 2010 09 158·8
 2010 10 8015·0
 2010 11 8015.8
 2010 12 4011·8
 2011 01  9914·7
 2011 02  949.0
 2011 03  5611·4
 2011 04  4211·3
 2011 05  8318.3
 2011 06  5915.9
 2011 07  415·3
 2011 08  3413.8
 2011 09  9217.4
 2011 10  3116·3
 2011 11  1310.4
 2011 12  3314·6
 2012 01 7812·2
 2012 02 9413.7
 2012 03 9411·2
 2012 04 859·1
 2012 05 1511.7
 2012 06 5214·3
 2012 07 8714·4
 2012 08 5813.1
 2012 09 411·1
 2012 10 3811.6
 2012 11 5415·4
 2012 12 4713.2
 2013 01  7014.1
 2013 02  99.9
 2013 03  827.8
 2013 04  7011.6
 2013 05  649·8
 2013 06  4514·9
 2013 07  8515·0
 2013 08  7212.4
 2013 09  6115·3
 2013 10  5511.7
 2013 11  112·5
 2013 12  218.2
 2014 01 6117.9
 2014 02 6815.4
 2014 03 9213.9
 2014 04 1312.3
 2014 05 919·1
 2014 06 4315·1
 2014 07 4710.9
 2014 08 6610·6
 2014 09 9910.4
 2014 10 608·7
 2014 11 7812·1
 2014 12 248.2
 2015 01  6211.4
 2015 02  279·7
 2015 03  249.2
 2015 04  579·9
 2015 05  8012.5
 2015 06  7412·5
 2015 07  4610.7
 2015 08  588.9
 2015 09  797·8
 2015 10  595.3
 2015 11  3310.1
 2015 12  476·0
 2016 01 87.3
 2016 02 639.2
 2016 03 986.5
 2016 04 687·9
 2016 05 448·2
 2016 06 938·6
 2016 07 7910.0
 2016 08 909·8
 2016 09 866·4
 2016 10 808·3
 2016 11 395·0
 2016 12 74·6
 2017 01  609.9
 2017 02  8210·3
 2017 03  658·8
 2017 04  387.8
 2017 05  167·2
 2017 06  7911.7
 2017 07  709·9
 2017 08  287.8
 2017 09  308.1
 2017 10  786.6


 2017 11  936·2
 2017 12  452.8
 2018 01 26·5
 2018 02 123·9
 2018 03 968·3
 2018 04 845·5
 2018 05 586·9
 2018 06 3610·7
 2018 07 678.4
 2018 08 648·3
 2018 09 4811.9
 2018 10 329·7
 2018 11 209.7
 2018 12 2810·1
 2019 01  477·4
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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: Unemployment rate: 16 to 24 years, 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

Want to know how State economies fared during the Clinton Administration? Use the Reporter.

Sites of Interest: Conerly Consulting: Economics for Business Decisions *

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