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 Series Title: Unemployment Level: Nonveterans, 35 to 44 years, White: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2006 05 10775·
 2006 06 84744·
 2006 07 67851.
 2006 08 84918·
 2006 09 89806.
 2006 10 34658·
 2006 11 77826·
 2006 12 2902·
 2007 01  77939.
 2007 02  26895.
 2007 03  32862.
 2007 04  63813.
 2007 05  27772·
 2007 06  42784·
 2007 07  44938.
 2007 08  10921.
 2007 09  12793.
 2007 10  88745.
 2007 11  52773·
 2007 12  14872.
 2008 01 33953·
 2008 02 96943.
 2008 03 181023.
 2008 04 66954·
 2008 05 16949.
 2008 06 241068·
 2008 07 301160.
 2008 08 881272·
 2008 09 111180.
 2008 10 511230.
 2008 11 21282·
 2008 12 231496·
 2009 01  931824.
 2009 02  861816·
 2009 03  711826.
 2009 04  411678.
 2009 05  641738.
 2009 06  591860.
 2009 07  991883.
 2009 08  341952·
 2009 09  472030·
 2009 10  282097·
 2009 11  752040.
 2009 12  232102·
 2010 01 942254·
 2010 02 742261·
 2010 03 122086·
 2010 04 521764·
 2010 05 801651·
 2010 06 31630.
 2010 07 471816.
 2010 08 901750·
 2010 09 61827.
 2010 10 471673·
 2010 11 441716·
 2010 12 311785·
 2011 01  961772·
 2011 02  641798·
 2011 03  911684·
 2011 04  931533·
 2011 05  21568·
 2011 06  341555·
 2011 07  991461.
 2011 08  221596.
 2011 09  981533·
 2011 10  641453.
 2011 11  81385·
 2011 12  871411.
 2012 01 851657·
 2012 02 861608·
 2012 03 791495·
 2012 04 801416·
 2012 05 881339·
 2012 06 571449·
 2012 07 21470.
 2012 08 231414·
 2012 09 581372.
 2012 10 571300·
 2012 11 881296·
 2012 12 581397.
 2013 01  701501·
 2013 02  951454·
 2013 03  761321.
 2013 04  561179·
 2013 05  251212·
 2013 06  01192·
 2013 07  291307.
 2013 08  91166·
 2013 09  471192·
 2013 10  311112·
 2013 11  341130.
 2013 12  381168.
 2014 01 881176.
 2014 02 691181·
 2014 03 41126·
 2014 04 86919·
 2014 05 22988.
 2014 06 20971.
 2014 07 78987.
 2014 08 22987·
 2014 09 51841·
 2014 10 15817.
 2014 11 18845·
 2014 12 41900.
 2015 01  991029.
 2015 02  13993.
 2015 03  12932·
 2015 04  62819·
 2015 05  17818·
 2015 06  93768·
 2015 07  72880.
 2015 08  29804.
 2015 09  80812.
 2015 10  64837·
 2015 11  38754.
 2015 12  11806.
 2016 01 89886.
 2016 02 55829.
 2016 03 71809·
 2016 04 2773.
 2016 05 69674.
 2016 06 26741·
 2016 07 60662.
 2016 08 21815·
 2016 09 70863·
 2016 10 55789·
 2016 11 18706.
 2016 12 13863.
 2017 01  68960.
 2017 02  52976·
 2017 03  81870.
 2017 04  47681.
 2017 05  63564.
 2017 06  46632·
 2017 07  14747·
 2017 08  16713.
 2017 09  81661·


 2017 10  95597·
 2017 11  5596·
 2017 12  41706·
 2018 01 72716·
 2018 02 81748.
 2018 03 65718·
 2018 04 64575.
 2018 05 11567·
 2018 06 9618·
 2018 07 33688.
 2018 08 56603·
 2018 09 99570·
 2018 10 12577·
 2018 11 72593.
 2018 12 9584·
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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 Level: Nonveterans, 35 to 44 years, White: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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