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 Series Title: Unemployment Level: Veterans, Other Service Periods, 18 years and over, White: NSA
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 2006 05 8478.
 2006 06 7472·
 2006 07 63105·
 2006 08 6078·
 2006 09 9890·
 2006 10 11105·
 2006 11 3797·
 2006 12 44112·
 2007 01  78101.
 2007 02  4691·
 2007 03  12104·
 2007 04  26129·
 2007 05  7684·
 2007 06  6287.
 2007 07  1108.
 2007 08  5289.
 2007 09  6581.
 2007 10  64104·
 2007 11  41111.
 2007 12  89133·
 2008 01 47134·
 2008 02 85140.
 2008 03 96131.
 2008 04 3294.
 2008 05 4792·
 2008 06 8087.
 2008 07 5495·
 2008 08 0108·
 2008 09 15114·
 2008 10 33159·
 2008 11 26157.
 2008 12 38210.
 2009 01  27231·
 2009 02  48270·
 2009 03  53293.
 2009 04  14245.
 2009 05  83232.
 2009 06  59218.
 2009 07  95209·
 2009 08  23191.
 2009 09  8215·
 2009 10  21200.
 2009 11  41235·
 2009 12  84234.
 2010 01 54253.
 2010 02 16287.
 2010 03 4281·
 2010 04 41261.
 2010 05 94221·
 2010 06 52224.
 2010 07 22223·
 2010 08 63222.
 2010 09 30200·
 2010 10 58175·
 2010 11 58175.
 2010 12 44203·
 2011 01  88221·
 2011 02  93222.
 2011 03  99205·
 2011 04  3198·
 2011 05  16223·
 2011 06  38233·
 2011 07  59197·
 2011 08  85214·
 2011 09  91201·
 2011 10  99194·
 2011 11  75193·
 2011 12  58181·
 2012 01 14177·
 2012 02 8186·
 2012 03 10149.
 2012 04 17150·
 2012 05 9175.
 2012 06 22154·
 2012 07 53166.
 2012 08 81136·
 2012 09 27157.
 2012 10 23136·
 2012 11 15159·
 2012 12 95161.
 2013 01  44151·
 2013 02  16128·
 2013 03  36138.
 2013 04  26115·
 2013 05  59146.
 2013 06  34151.
 2013 07  77148.
 2013 08  70140.
 2013 09  99136.
 2013 10  33119·
 2013 11  27116.
 2013 12  4594·
 2014 01 1393.
 2014 02 95108·
 2014 03 99123.
 2014 04 96128·
 2014 05 7779·
 2014 06 27100·
 2014 07 3092·
 2014 08 9196.
 2014 09 9187.
 2014 10 6084.
 2014 11 8489.
 2014 12 2673·
 2015 01  8182·
 2015 02  51105.
 2015 03  4895·
 2015 04  1891.
 2015 05  9786·
 2015 06  8177.
 2015 07  3573.
 2015 08  1386·
 2015 09  1485·
 2015 10  5875.
 2015 11  8364.
 2015 12  7991·
 2016 01 34110.
 2016 02 1281.
 2016 03 5592.
 2016 04 1078.
 2016 05 8075.
 2016 06 072.
 2016 07 3969·
 2016 08 2672·
 2016 09 577·
 2016 10 579.
 2016 11 4888·
 2016 12 7170.
 2017 01  8273·
 2017 02  3255·
 2017 03  1951.
 2017 04  1466·
 2017 05  1353.
 2017 06  1467.


 2017 07  1638.
 2017 08  4957.
 2017 09  2349.
 2017 10  632.
 2017 11  2653·
 2017 12  9578·
 2018 01 6265.
 2018 02 9189·
 2018 03 6277.
 2018 04 9676.
 2018 05 570.
 2018 06 7632.
 2018 07 6339·
 2018 08 2155.
 2018 09 5452·
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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, Other Service Periods, 18 years and over, White: 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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