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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 55253·
 2009 01  74330.
 2009 02  81312.
 2009 03  10318·
 2009 04  18306.
 2009 05  66337.
 2009 06  16322·
 2009 07  61315.
 2009 08  72298.
 2009 09  81293.
 2009 10  78301·
 2009 11  36344·
 2009 12  69359·
 2010 01 2371·
 2010 02 78327.
 2010 03 79305.
 2010 04 82289.
 2010 05 34280·
 2010 06 54268·
 2010 07 58328·
 2010 08 13387·
 2010 09 10325.
 2010 10 71332.
 2010 11 69356·
 2010 12 86323·
 2011 01  86351·
 2011 02  14305·
 2011 03  30296.
 2011 04  53209·
 2011 05  43257.
 2011 06  98275.
 2011 07  85286·
 2011 08  89238·
 2011 09  89229·
 2011 10  61234·
 2011 11  4227·
 2011 12  94212·
 2012 01 54225·
 2012 02 64214·
 2012 03 81238.
 2012 04 93215·
 2012 05 97228.
 2012 06 97227.
 2012 07 34193.
 2012 08 37162·
 2012 09 97160·
 2012 10 71149·
 2012 11 9167.
 2012 12 1183.
 2013 01  62233.
 2013 02  26220·
 2013 03  73215·
 2013 04  86210·
 2013 05  24211.
 2013 06  23175.
 2013 07  21192·
 2013 08  17139.
 2013 09  39149·
 2013 10  50175·
 2013 11  73139·
 2013 12  45144.
 2014 01 89116·
 2014 02 21179·
 2014 03 73160·
 2014 04 44123·
 2014 05 80127.
 2014 06 74122·
 2014 07 89129·
 2014 08 15144.
 2014 09 45113.
 2014 10 7093.
 2014 11 16122.
 2014 12 8496.
 2015 01  39118.
 2015 02  99115.
 2015 03  72113·
 2015 04  1106·
 2015 05  44110.
 2015 06  7396·
 2015 07  399.
 2015 08  4295.
 2015 09  6897·
 2015 10  3069·
 2015 11  7769.
 2015 12  667.
 2016 01 4182.
 2016 02 3392·
 2016 03 8885·
 2016 04 1980·
 2016 05 2059.
 2016 06 6988·
 2016 07 5679.
 2016 08 3273.
 2016 09 8774.
 2016 10 5284.
 2016 11 2473.
 2016 12 2073·
 2017 01  4969·


 2017 02  2084·
 2017 03  6374·
 2017 04  8372·
 2017 05  3762.
 2017 06  3545.
 2017 07  6564·
 2017 08  4787·
 2017 09  846·
 2017 10  8550.
 2017 11  5073.
 2017 12  6161·
 2018 01 4354.
 2018 02 8343.
 2018 03 6262·
 2018 04 352.
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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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