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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 78253.
 2009 01  70330.
 2009 02  10312.
 2009 03  80318.
 2009 04  90306.
 2009 05  49337·
 2009 06  69322.
 2009 07  93315·
 2009 08  44298·
 2009 09  1293·
 2009 10  5301·
 2009 11  80344·
 2009 12  89359.
 2010 01 8371·
 2010 02 29327·
 2010 03 84305·
 2010 04 2289.
 2010 05 77280·
 2010 06 80268.
 2010 07 76328.
 2010 08 82387·
 2010 09 40325·
 2010 10 20332.
 2010 11 48356·
 2010 12 54323.
 2011 01  52351.
 2011 02  38305.
 2011 03  21296·
 2011 04  71209.
 2011 05  96257·
 2011 06  47275·
 2011 07  38286·
 2011 08  6238.
 2011 09  79229.
 2011 10  83234·
 2011 11  69227·
 2011 12  60212.
 2012 01 31225.
 2012 02 11214.
 2012 03 7238·
 2012 04 58215·
 2012 05 10228·
 2012 06 18227·
 2012 07 72193·
 2012 08 51162·
 2012 09 97160·
 2012 10 16149·
 2012 11 8167.
 2012 12 15183.
 2013 01  99233·
 2013 02  45220·
 2013 03  84215·
 2013 04  49210·
 2013 05  48211·
 2013 06  66175.
 2013 07  94192.
 2013 08  79139·
 2013 09  99149.
 2013 10  68175·
 2013 11  58139.
 2013 12  56144.
 2014 01 36116·
 2014 02 63179.
 2014 03 19160.
 2014 04 54123.
 2014 05 64127·
 2014 06 90122.
 2014 07 47129.
 2014 08 75144·
 2014 09 15113.
 2014 10 1193.
 2014 11 35122·
 2014 12 4396.
 2015 01  46118.
 2015 02  14115·
 2015 03  4113·
 2015 04  9106.
 2015 05  38110.
 2015 06  1296·
 2015 07  9699.
 2015 08  4995.
 2015 09  9897.
 2015 10  4369·
 2015 11  8269·
 2015 12  6267·
 2016 01 5882.
 2016 02 7092.
 2016 03 5585.
 2016 04 7580.
 2016 05 7459.
 2016 06 8188.
 2016 07 3479.
 2016 08 3773.
 2016 09 2874.
 2016 10 8884.
 2016 11 6573·
 2016 12 2473·
 2017 01  2669·
 2017 02  3084·
 2017 03  1474.
 2017 04  3672·
 2017 05  162·
 2017 06  6945.
 2017 07  7864·
 2017 08  9987.
 2017 09  946·


 2017 10  9350.
 2017 11  7573·
 2017 12  6361.
 2018 01 3154.
 2018 02 1643·
 2018 03 4962·
 2018 04 452·
 2018 05 7468·
 2018 06 7469·
 2018 07 6977·
 2018 08 2168·
 2018 09 7060·
 2018 10 3244.
 2018 11 3035.
 2018 12 4139·
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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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