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 Series Title: Unemployed looking for full-time work: 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  4135·
 2003 02  862.
 2003 03  6533·
 2003 04  6539.
 2003 05  8552.
 2003 06  5104.
 2003 07  463·
 2003 08  9356.
 2003 09  6557·
 2003 10  6956.
 2003 11  1218·
 2003 12  8943.
 2004 01 3036·
 2004 02 8228·
 2004 03 349.
 2004 04 9649.
 2004 05 5751·
 2004 06 5079·
 2004 07 1446.
 2004 08 8426.
 2004 09 4452·
 2004 10 657.
 2004 11 954·
 2004 12 4647.
 2005 01  1820·
 2005 02  521.
 2005 03  7534.
 2005 04  325·
 2005 05  2946·
 2005 06  3046.
 2005 07  2558.
 2005 08  9844.
 2005 09  5231.
 2005 10  8723·
 2005 11  9718·
 2005 12  041·
 2006 01 8939.
 2006 02 834·
 2006 03 5418·
 2006 04 331·
 2006 05 6325·
 2006 06 4958.
 2006 07 8333·
 2006 08 2743.
 2006 09 2637·
 2006 10 9222·
 2006 11 9935·
 2006 12 1618.
 2007 01  5322.
 2007 02  4321.
 2007 03  3827.
 2007 04  3829.
 2007 05  4527.
 2007 06  3543.
 2007 07  6332·
 2007 08  8940·
 2007 09  2626.
 2007 10  2440·
 2007 11  6332·
 2007 12  8618.
 2008 01 4823·
 2008 02 9125.
 2008 03 5012·
 2008 04 7533·
 2008 05 8546.
 2008 06 4457·
 2008 07 6238.
 2008 08 2440·
 2008 09 3828·
 2008 10 1331·
 2008 11 6238.
 2008 12 2842.
 2009 01  3251.
 2009 02  5654·
 2009 03  3842.
 2009 04  556.
 2009 05  1873·
 2009 06  5494.
 2009 07  396·
 2009 08  065.
 2009 09  7165.
 2009 10  1364.
 2009 11  9542.
 2009 12  8239·
 2010 01 9257·
 2010 02 6663·
 2010 03 7657·
 2010 04 4564.
 2010 05 570·
 2010 06 6975.
 2010 07 34122·
 2010 08 960.
 2010 09 6227.
 2010 10 469.
 2010 11 8355.
 2010 12 1646.
 2011 01  3859·
 2011 02  7739.
 2011 03  6154·
 2011 04  3847.
 2011 05  3280.
 2011 06  2075.
 2011 07  2997·
 2011 08  6668.
 2011 09  7185.
 2011 10  9061·
 2011 11  7640·
 2011 12  2259.
 2012 01 553.
 2012 02 6754·
 2012 03 1654.
 2012 04 4941·
 2012 05 938·
 2012 06 6082·
 2012 07 8583·
 2012 08 1590·
 2012 09 8453·
 2012 10 9961·
 2012 11 4793·
 2012 12 1674·
 2013 01  5584.
 2013 02  4253.
 2013 03  8944·
 2013 04  7177·
 2013 05  7260·
 2013 06  69107·
 2013 07  2581·
 2013 08  2265.
 2013 09  1178·
 2013 10  8765·
 2013 11  9273.
 2013 12  4151.
 2014 01 7398·
 2014 02 2976.
 2014 03 5484.
 2014 04 2062.
 2014 05 8145·
 2014 06 50108.
 2014 07 9770·
 2014 08 7972·
 2014 09 8850.
 2014 10 3357·
 2014 11 3648.
 2014 12 6245.
 2015 01  6975.
 2015 02  8463.
 2015 03  853.
 2015 04  3854·
 2015 05  2270.
 2015 06  3497·
 2015 07  7568.
 2015 08  255.
 2015 09  7637·
 2015 10  4118.
 2015 11  2751·
 2015 12  7241.
 2016 01 7833.
 2016 02 8641.
 2016 03 7540.
 2016 04 9348·
 2016 05 647·
 2016 06 7561.
 2016 07 5765.
 2016 08 3352.
 2016 09 5939.
 2016 10 4043.
 2016 11 3724.
 2016 12 8819·
 2017 01  6243.
 2017 02  3859.
 2017 03  232·
 2017 04  7539.
 2017 05  6728·
 2017 06  5170.
 2017 07  6570·
 2017 08  4060.


 2017 09  4856·
 2017 10  8546.
 2017 11  6426.
 2017 12  5113·
 2018 01 641.
 2018 02 7132.
 2018 03 6343.
 2018 04 232.
 2018 05 6742·
 2018 06 6773.
 2018 07 4859.
 2018 08 1366·
 2018 09 8077·
 2018 10 5461.
 2018 11 3355·
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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: Unemployed looking for full-time work: 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

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