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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 271091.
 2006 06 671098.
 2006 07 231219.
 2006 08 421288·
 2006 09 951104.
 2006 10 54880·
 2006 11 951133·
 2006 12 201219.
 2007 01  171253.
 2007 02  281187.
 2007 03  551138.
 2007 04  851092.
 2007 05  431035·
 2007 06  691053.
 2007 07  161258.
 2007 08  791182·
 2007 09  491052.
 2007 10  841074.
 2007 11  161136.
 2007 12  731237·
 2008 01 351308.
 2008 02 51297·
 2008 03 181363.
 2008 04 611272.
 2008 05 261293·
 2008 06 891390.
 2008 07 111519·
 2008 08 611637.
 2008 09 731604.
 2008 10 171636.
 2008 11 61750.
 2008 12 181956.
 2009 01  512425·
 2009 02  962406.
 2009 03  422471·
 2009 04  12363.
 2009 05  602395·
 2009 06  572502.
 2009 07  822550·
 2009 08  52635·
 2009 09  272671.
 2009 10  572740.
 2009 11  132685·
 2009 12  472817.
 2010 01 13001.
 2010 02 783003·
 2010 03 482889·
 2010 04 732474·
 2010 05 582333·
 2010 06 262262.
 2010 07 262478.
 2010 08 522391.
 2010 09 972541·
 2010 10 342305·
 2010 11 92369·
 2010 12 772486·
 2011 01  462509.
 2011 02  572495·
 2011 03  862364.
 2011 04  682188·
 2011 05  532153·
 2011 06  772198·
 2011 07  682117·
 2011 08  692320.
 2011 09  952247·
 2011 10  12086.
 2011 11  942083·
 2011 12  502107·
 2012 01 712329·
 2012 02 612241·
 2012 03 272088·
 2012 04 31949·
 2012 05 71949·
 2012 06 132069.
 2012 07 542092.
 2012 08 492048.
 2012 09 541919·
 2012 10 391870·
 2012 11 891863.
 2012 12 322085·
 2013 01  872181·
 2013 02  462040.
 2013 03  701922·
 2013 04  201680·
 2013 05  61768.
 2013 06  641725·
 2013 07  591828·
 2013 08  81703.
 2013 09  371685·
 2013 10  521622·
 2013 11  441653.
 2013 12  151653.
 2014 01 291699.
 2014 02 891677.
 2014 03 381617·
 2014 04 851396.
 2014 05 591437.
 2014 06 841332.
 2014 07 791445.
 2014 08 881441.
 2014 09 271289·
 2014 10 681283·
 2014 11 301283.
 2014 12 161304·
 2015 01  591488·
 2015 02  961484.
 2015 03  791329.
 2015 04  911242.
 2015 05  31256·
 2015 06  521129·
 2015 07  391290·
 2015 08  551211.
 2015 09  371214.
 2015 10  421203.
 2015 11  471166.
 2015 12  781199·
 2016 01 601349.
 2016 02 971294.
 2016 03 661246·
 2016 04 531183.
 2016 05 981032.
 2016 06 731099·
 2016 07 851052·
 2016 08 11246·
 2016 09 11279.
 2016 10 531159.
 2016 11 161033.
 2016 12 651229.
 2017 01  451354.
 2017 02  441383·
 2017 03  971267·
 2017 04  151059·
 2017 05  29971·
 2017 06  76990.


 2017 07  921130·
 2017 08  441075·
 2017 09  80962.
 2017 10  7916·
 2017 11  87928.
 2017 12  72956.
 2018 01 481080.
 2018 02 171082·
 2018 03 961078.
 2018 04 42889·
 2018 05 8816.
 2018 06 15931·
 2018 07 571004.
 2018 08 25919.
 2018 09 60882·
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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
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