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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 38253.
 2009 01  31330·
 2009 02  28312·
 2009 03  44318·
 2009 04  18306.
 2009 05  91337.
 2009 06  8322.
 2009 07  42315·
 2009 08  45298·
 2009 09  32293.
 2009 10  71301·
 2009 11  19344.
 2009 12  71359·
 2010 01 33371.
 2010 02 28327.
 2010 03 21305.
 2010 04 70289.
 2010 05 3280·
 2010 06 19268.
 2010 07 16328·
 2010 08 43387.
 2010 09 72325.
 2010 10 5332.
 2010 11 99356.
 2010 12 15323·
 2011 01  97351·
 2011 02  75305·
 2011 03  88296.
 2011 04  36209.
 2011 05  60257·
 2011 06  42275.
 2011 07  27286.
 2011 08  82238.
 2011 09  68229.
 2011 10  43234.
 2011 11  86227.
 2011 12  54212·
 2012 01 52225·
 2012 02 41214·
 2012 03 59238·
 2012 04 76215·
 2012 05 69228·
 2012 06 25227.
 2012 07 66193·
 2012 08 0162.
 2012 09 1160·
 2012 10 7149.
 2012 11 49167·
 2012 12 0183.
 2013 01  53233·
 2013 02  25220·
 2013 03  79215.
 2013 04  77210·
 2013 05  59211.
 2013 06  42175·
 2013 07  49192·
 2013 08  56139.
 2013 09  73149.
 2013 10  46175.
 2013 11  78139.
 2013 12  88144·
 2014 01 79116.
 2014 02 50179.
 2014 03 12160.
 2014 04 47123.
 2014 05 83127.
 2014 06 91122·
 2014 07 18129.
 2014 08 36144.
 2014 09 15113·
 2014 10 3393·
 2014 11 92122·
 2014 12 7896·
 2015 01  34118·
 2015 02  63115.
 2015 03  51113.
 2015 04  24106.
 2015 05  21110.
 2015 06  9496·
 2015 07  4199.
 2015 08  5095.
 2015 09  8197·
 2015 10  6569·
 2015 11  3069.
 2015 12  5667·
 2016 01 4882·
 2016 02 3892·
 2016 03 1385.
 2016 04 6880.
 2016 05 7759·
 2016 06 088.
 2016 07 979.
 2016 08 3573.
 2016 09 5074.
 2016 10 6684·
 2016 11 6173·
 2016 12 3373·
 2017 01  7469·
 2017 02  7284·
 2017 03  4074·
 2017 04  6372·


 2017 05  8062.
 2017 06  8245.
 2017 07  3864.
 2017 08  5087.
 2017 09  2646·
 2017 10  8450.
 2017 11  7673·
 2017 12  4461·
 2018 01 9254·
 2018 02 8943·
 2018 03 9862.
 2018 04 2152·
 2018 05 8668·
 2018 06 3869.
 2018 07 7177·
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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
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

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