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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 831091·
 2006 06 131098.
 2006 07 811219·
 2006 08 881288.
 2006 09 621104·
 2006 10 31880.
 2006 11 281133.
 2006 12 121219.
 2007 01  251253.
 2007 02  671187·
 2007 03  951138.
 2007 04  541092·
 2007 05  241035·
 2007 06  11053.
 2007 07  941258·
 2007 08  571182.
 2007 09  341052.
 2007 10  401074·
 2007 11  641136.
 2007 12  911237·
 2008 01 551308.
 2008 02 171297·
 2008 03 681363.
 2008 04 491272.
 2008 05 121293·
 2008 06 881390·
 2008 07 921519·
 2008 08 521637·
 2008 09 571604.
 2008 10 341636.
 2008 11 511750·
 2008 12 431956.
 2009 01  642425·
 2009 02  622406.
 2009 03  812471.
 2009 04  912363·
 2009 05  342395.
 2009 06  32502.
 2009 07  472550·
 2009 08  912635.
 2009 09  922671·
 2009 10  152740.
 2009 11  352685.
 2009 12  612817.
 2010 01 893001.
 2010 02 793003·
 2010 03 592889.
 2010 04 452474·
 2010 05 992333·
 2010 06 22262·
 2010 07 572478.
 2010 08 142391.
 2010 09 242541·
 2010 10 152305.
 2010 11 912369.
 2010 12 602486·
 2011 01  892509.
 2011 02  752495.
 2011 03  492364·
 2011 04  42188·
 2011 05  442153·
 2011 06  632198·
 2011 07  452117·
 2011 08  892320·
 2011 09  652247.
 2011 10  872086·
 2011 11  152083.
 2011 12  842107·
 2012 01 512329.
 2012 02 772241.
 2012 03 242088·
 2012 04 841949.
 2012 05 291949·
 2012 06 912069·
 2012 07 592092.
 2012 08 72048.
 2012 09 491919·
 2012 10 101870·
 2012 11 321863.
 2012 12 982085·
 2013 01  862181.
 2013 02  412040·
 2013 03  821922.
 2013 04  271680·
 2013 05  401768.
 2013 06  151725.
 2013 07  721828.
 2013 08  861703·
 2013 09  371685.
 2013 10  891622.
 2013 11  891653.
 2013 12  951653.
 2014 01 271699.
 2014 02 451677.
 2014 03 471617·
 2014 04 991396·
 2014 05 871437.
 2014 06 891332·
 2014 07 821445.
 2014 08 661441.
 2014 09 151289.
 2014 10 531283.
 2014 11 591283.
 2014 12 911304·
 2015 01  371488.
 2015 02  941484.
 2015 03  651329.
 2015 04  931242·
 2015 05  51256·
 2015 06  931129·
 2015 07  131290·
 2015 08  161211·
 2015 09  931214.
 2015 10  561203·
 2015 11  411166·
 2015 12  291199.
 2016 01 11349.
 2016 02 171294·
 2016 03 111246·
 2016 04 261183.
 2016 05 561032.
 2016 06 301099·
 2016 07 121052·
 2016 08 261246.
 2016 09 61279.
 2016 10 781159.
 2016 11 571033·
 2016 12 741229.
 2017 01  291354·
 2017 02  681383·
 2017 03  831267.
 2017 04  381059.


 2017 05  24971.
 2017 06  31990.
 2017 07  531130.
 2017 08  131075.
 2017 09  16962.
 2017 10  23916·
 2017 11  55928·
 2017 12  19956·
 2018 01 571080.
 2018 02 271082·
 2018 03 31078·
 2018 04 98889·
 2018 05 21816.
 2018 06 49931·
 2018 07 331004.
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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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