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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 59775·
 2006 06 42744.
 2006 07 80851.
 2006 08 78918·
 2006 09 61806·
 2006 10 58658·
 2006 11 1826.
 2006 12 50902·
 2007 01  48939.
 2007 02  92895·
 2007 03  42862.
 2007 04  41813.
 2007 05  70772·
 2007 06  24784·
 2007 07  15938·
 2007 08  92921.
 2007 09  3793·
 2007 10  62745.
 2007 11  58773·
 2007 12  75872·
 2008 01 47953.
 2008 02 38943.
 2008 03 351023.
 2008 04 82954.
 2008 05 28949.
 2008 06 71068.
 2008 07 331160·
 2008 08 331272·
 2008 09 961180·
 2008 10 511230·
 2008 11 651282.
 2008 12 721496·
 2009 01  271824.
 2009 02  771816·
 2009 03  691826.
 2009 04  691678.
 2009 05  201738.
 2009 06  181860·
 2009 07  81883.
 2009 08  171952.
 2009 09  22030.
 2009 10  282097·
 2009 11  692040.
 2009 12  352102.
 2010 01 222254.
 2010 02 912261·
 2010 03 672086·
 2010 04 681764·
 2010 05 561651.
 2010 06 121630·
 2010 07 381816·
 2010 08 851750.
 2010 09 51827.
 2010 10 231673·
 2010 11 451716.
 2010 12 801785.
 2011 01  931772.
 2011 02  811798·
 2011 03  771684.
 2011 04  721533.
 2011 05  711568.
 2011 06  681555·
 2011 07  461461·
 2011 08  51596·
 2011 09  161533·
 2011 10  901453.
 2011 11  901385.
 2011 12  491411·
 2012 01 261657·
 2012 02 791608·
 2012 03 721495.
 2012 04 971416.
 2012 05 271339.
 2012 06 911449·
 2012 07 801470·
 2012 08 691414·
 2012 09 701372.
 2012 10 91300.
 2012 11 271296·
 2012 12 91397·
 2013 01  301501·
 2013 02  381454.
 2013 03  511321.
 2013 04  851179.
 2013 05  81212·
 2013 06  101192.
 2013 07  141307·
 2013 08  931166·
 2013 09  281192·
 2013 10  831112·
 2013 11  51130.
 2013 12  511168.
 2014 01 421176.
 2014 02 371181·
 2014 03 361126.
 2014 04 3919.
 2014 05 25988.
 2014 06 80971·
 2014 07 45987·
 2014 08 19987·
 2014 09 76841.
 2014 10 42817.
 2014 11 95845.
 2014 12 92900.
 2015 01  231029.
 2015 02  82993·
 2015 03  75932·
 2015 04  43819.
 2015 05  13818·
 2015 06  79768·
 2015 07  96880·
 2015 08  14804·
 2015 09  25812.
 2015 10  41837.
 2015 11  97754·
 2015 12  75806.
 2016 01 56886·
 2016 02 0829.
 2016 03 41809.
 2016 04 20773.
 2016 05 34674.
 2016 06 12741·
 2016 07 15662·
 2016 08 69815·
 2016 09 9863·
 2016 10 58789·
 2016 11 33706.
 2016 12 65863·
 2017 01  55960.
 2017 02  47976.
 2017 03  33870.
 2017 04  78681.
 2017 05  73564·
 2017 06  8632.


 2017 07  76747·
 2017 08  2713.
 2017 09  89661.
 2017 10  99597.
 2017 11  52596·
 2017 12  56706·
 2018 01 53716·
 2018 02 1748.
 2018 03 73718.
 2018 04 83575·
 2018 05 40567.
 2018 06 21618·
 2018 07 77688·
 2018 08 54603.
 2018 09 51570·
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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
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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