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 Series Title: Unemployment Level: Veterans, World War II or Korean War or Vietnam Era, 45 years and over, Men: NSA
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 2008 12 3253·
 2009 01  87330·
 2009 02  90312·
 2009 03  82318.
 2009 04  60306·
 2009 05  20337·
 2009 06  64322·
 2009 07  19315.
 2009 08  96298·
 2009 09  65293.
 2009 10  50301·
 2009 11  66344·
 2009 12  62359·
 2010 01 1371.
 2010 02 63327.
 2010 03 69305·
 2010 04 32289.
 2010 05 37280·
 2010 06 41268.
 2010 07 96328.
 2010 08 7387.
 2010 09 4325.
 2010 10 45332·
 2010 11 42356.
 2010 12 13323.
 2011 01  59351.
 2011 02  64305.
 2011 03  25296.
 2011 04  99209.
 2011 05  82257.
 2011 06  12275·
 2011 07  91286·
 2011 08  42238.
 2011 09  82229.
 2011 10  24234·
 2011 11  7227.
 2011 12  41212.
 2012 01 89225·
 2012 02 66214·
 2012 03 68238.
 2012 04 22215.
 2012 05 59228.
 2012 06 24227.
 2012 07 94193.
 2012 08 35162·
 2012 09 76160·
 2012 10 12149.
 2012 11 29167·
 2012 12 56183·
 2013 01  45233·
 2013 02  67220·
 2013 03  40215·
 2013 04  86210·
 2013 05  98211.
 2013 06  52175.
 2013 07  24192·
 2013 08  48139·
 2013 09  92149.
 2013 10  55175·
 2013 11  98139.
 2013 12  95144·
 2014 01 8116·
 2014 02 89179·
 2014 03 8160·
 2014 04 1123.
 2014 05 53127·
 2014 06 92122.
 2014 07 21129.
 2014 08 67144·
 2014 09 59113·
 2014 10 2793·
 2014 11 33122·
 2014 12 1896·
 2015 01  81118·
 2015 02  81115.
 2015 03  62113.
 2015 04  4106·
 2015 05  3110.
 2015 06  6896.
 2015 07  5399.
 2015 08  195.
 2015 09  3097.
 2015 10  2669.
 2015 11  7469·
 2015 12  1067·
 2016 01 9482·
 2016 02 1792·
 2016 03 2085·
 2016 04 5580.
 2016 05 5259.
 2016 06 2988.
 2016 07 1179·
 2016 08 8773·
 2016 09 8674.
 2016 10 7584·
 2016 11 8973·
 2016 12 8273.
 2017 01  169·
 2017 02  9384·
 2017 03  2474·
 2017 04  3972·
 2017 05  3062·
 2017 06  4645.


 2017 07  1164.
 2017 08  8587.
 2017 09  3046.
 2017 10  2250.
 2017 11  6973·
 2017 12  6961·
 2018 01 8254.
 2018 02 3343·
 2018 03 4162·
 2018 04 6752.
 2018 05 9268.
 2018 06 1869.
 2018 07 9777.
 2018 08 8068·
 2018 09 9260.
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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: Veterans, World War II or Korean War or Vietnam Era, 45 years and over, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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