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 Series Title: Unemployment Level: Nonveterans, 35 to 44 years: 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 281091.
 2006 06 731098·
 2006 07 981219·
 2006 08 801288·
 2006 09 211104·
 2006 10 25880.
 2006 11 981133·
 2006 12 761219·
 2007 01  751253.
 2007 02  691187.
 2007 03  931138.
 2007 04  641092.
 2007 05  391035.
 2007 06  871053.
 2007 07  951258.
 2007 08  891182.
 2007 09  891052·
 2007 10  861074·
 2007 11  431136.
 2007 12  191237.
 2008 01 251308·
 2008 02 971297·
 2008 03 991363·
 2008 04 491272·
 2008 05 731293·
 2008 06 761390.
 2008 07 511519·
 2008 08 981637·
 2008 09 831604·
 2008 10 61636.
 2008 11 121750.
 2008 12 111956·
 2009 01  302425.
 2009 02  932406·
 2009 03  212471·
 2009 04  552363.
 2009 05  152395·
 2009 06  692502.
 2009 07  392550·
 2009 08  262635.
 2009 09  632671.
 2009 10  902740.
 2009 11  552685.
 2009 12  432817·
 2010 01 253001.
 2010 02 383003·
 2010 03 822889·
 2010 04 492474·
 2010 05 762333·
 2010 06 202262·
 2010 07 572478·
 2010 08 142391·
 2010 09 172541·
 2010 10 672305.
 2010 11 442369.
 2010 12 322486·
 2011 01  722509.
 2011 02  352495.
 2011 03  302364.
 2011 04  222188·
 2011 05  922153·
 2011 06  82198·
 2011 07  282117·
 2011 08  282320.
 2011 09  532247.
 2011 10  902086.
 2011 11  772083.
 2011 12  202107.
 2012 01 552329·
 2012 02 152241·
 2012 03 382088·
 2012 04 911949·
 2012 05 231949·
 2012 06 382069·
 2012 07 02092·
 2012 08 612048·
 2012 09 81919.
 2012 10 411870·
 2012 11 771863.
 2012 12 742085.
 2013 01  852181.
 2013 02  302040.
 2013 03  41922.
 2013 04  991680·
 2013 05  541768·
 2013 06  381725.
 2013 07  471828·
 2013 08  291703·
 2013 09  411685·
 2013 10  221622.
 2013 11  921653·
 2013 12  851653.
 2014 01 971699.
 2014 02 611677·
 2014 03 521617.
 2014 04 111396·
 2014 05 961437.
 2014 06 641332·
 2014 07 661445·
 2014 08 741441·
 2014 09 401289.
 2014 10 621283·
 2014 11 951283·
 2014 12 711304.
 2015 01  531488·
 2015 02  121484.
 2015 03  291329.
 2015 04  191242·
 2015 05  861256·
 2015 06  951129·
 2015 07  801290.
 2015 08  631211.
 2015 09  141214·
 2015 10  181203.
 2015 11  851166.
 2015 12  731199.
 2016 01 371349.
 2016 02 121294.
 2016 03 81246·
 2016 04 411183·
 2016 05 821032.
 2016 06 351099·
 2016 07 371052·
 2016 08 881246·
 2016 09 981279·
 2016 10 671159·
 2016 11 841033.
 2016 12 571229·
 2017 01  611354.
 2017 02  151383.
 2017 03  881267.
 2017 04  181059.
 2017 05  71971·
 2017 06  12990·
 2017 07  111130.
 2017 08  651075·
 2017 09  54962.


 2017 10  14916·
 2017 11  41928.
 2017 12  16956·
 2018 01 591080·
 2018 02 11082.
 2018 03 911078·
 2018 04 17889·
 2018 05 63816·
 2018 06 82931.
 2018 07 991004.
 2018 08 36919·
 2018 09 66882.
 2018 10 88885.
 2018 11 28882·
 2018 12 67865·
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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: 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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