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 Series Title: Unemployment Level: Nonveterans, 35 to 44 years, White: NSA
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 2006 05 36775.
 2006 06 48744·
 2006 07 16851.
 2006 08 6918.
 2006 09 8806·
 2006 10 12658.
 2006 11 13826.
 2006 12 33902·
 2007 01  77939·
 2007 02  6895.
 2007 03  41862.
 2007 04  89813.
 2007 05  94772·
 2007 06  11784·
 2007 07  15938·
 2007 08  20921.
 2007 09  34793·
 2007 10  35745·
 2007 11  72773·
 2007 12  94872·
 2008 01 98953.
 2008 02 8943.
 2008 03 751023·
 2008 04 5954·
 2008 05 11949.
 2008 06 871068.
 2008 07 111160·
 2008 08 731272·
 2008 09 241180.
 2008 10 541230.
 2008 11 941282.
 2008 12 421496·
 2009 01  121824·
 2009 02  161816·
 2009 03  621826·
 2009 04  801678.
 2009 05  751738·
 2009 06  41860.
 2009 07  771883.
 2009 08  821952.
 2009 09  392030.
 2009 10  752097.
 2009 11  272040.
 2009 12  672102·
 2010 01 542254.
 2010 02 102261.
 2010 03 252086·
 2010 04 791764.
 2010 05 951651·
 2010 06 171630.
 2010 07 101816.
 2010 08 881750·
 2010 09 631827.
 2010 10 261673.
 2010 11 431716·
 2010 12 871785·
 2011 01  841772.
 2011 02  951798.
 2011 03  141684.
 2011 04  951533.
 2011 05  71568·
 2011 06  41555.
 2011 07  341461·
 2011 08  581596·
 2011 09  81533.
 2011 10  621453.
 2011 11  411385·
 2011 12  431411.
 2012 01 881657.
 2012 02 981608·
 2012 03 991495·
 2012 04 451416.
 2012 05 711339·
 2012 06 711449·
 2012 07 961470·
 2012 08 841414.
 2012 09 91372.
 2012 10 611300·
 2012 11 441296.
 2012 12 21397.
 2013 01  771501.
 2013 02  761454·
 2013 03  811321·
 2013 04  711179.
 2013 05  741212.
 2013 06  461192.
 2013 07  701307.
 2013 08  821166·
 2013 09  271192.
 2013 10  291112.
 2013 11  991130.
 2013 12  571168·
 2014 01 851176.
 2014 02 61181.
 2014 03 811126.
 2014 04 38919.
 2014 05 25988.
 2014 06 84971.
 2014 07 54987.
 2014 08 96987.
 2014 09 47841.
 2014 10 95817.
 2014 11 80845·
 2014 12 23900.
 2015 01  751029.
 2015 02  94993·
 2015 03  48932.
 2015 04  40819·
 2015 05  61818.
 2015 06  64768·
 2015 07  70880.
 2015 08  90804·
 2015 09  79812.
 2015 10  12837·
 2015 11  85754.
 2015 12  43806·
 2016 01 31886.
 2016 02 68829.
 2016 03 55809.
 2016 04 93773·
 2016 05 41674.
 2016 06 91741.
 2016 07 68662.
 2016 08 58815·
 2016 09 60863.
 2016 10 60789.
 2016 11 37706·
 2016 12 83863·
 2017 01  63960·
 2017 02  84976·
 2017 03  99870·
 2017 04  38681.


 2017 05  51564.
 2017 06  93632.
 2017 07  19747.
 2017 08  16713·
 2017 09  49661.
 2017 10  44597.
 2017 11  83596.
 2017 12  36706·
 2018 01 8716·
 2018 02 19748.
 2018 03 5718·
 2018 04 42575.
 2018 05 2567·
 2018 06 25618.
 2018 07 22688·
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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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