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 Series Title: Unemployment Level: Veterans, Other Service Periods, 18 years and over, White: NSA
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 2006 05 4978·
 2006 06 9672.
 2006 07 8105.
 2006 08 3878·
 2006 09 6390·
 2006 10 61105.
 2006 11 1597.
 2006 12 35112.
 2007 01  11101·
 2007 02  9491·
 2007 03  92104·
 2007 04  99129·
 2007 05  4584·
 2007 06  7687·
 2007 07  52108·
 2007 08  7589.
 2007 09  4081·
 2007 10  13104.
 2007 11  32111.
 2007 12  31133·
 2008 01 96134·
 2008 02 38140.
 2008 03 96131.
 2008 04 6394.
 2008 05 3992.
 2008 06 687·
 2008 07 3095.
 2008 08 88108·
 2008 09 19114.
 2008 10 0159·
 2008 11 49157.
 2008 12 52210·
 2009 01  11231·
 2009 02  25270.
 2009 03  90293·
 2009 04  22245·
 2009 05  16232·
 2009 06  15218.
 2009 07  15209·
 2009 08  94191.
 2009 09  59215.
 2009 10  24200·
 2009 11  14235.
 2009 12  87234.
 2010 01 91253.
 2010 02 36287.
 2010 03 98281·
 2010 04 45261·
 2010 05 87221·
 2010 06 56224.
 2010 07 6223·
 2010 08 36222.
 2010 09 47200·
 2010 10 17175.
 2010 11 0175·
 2010 12 55203·
 2011 01  97221.
 2011 02  74222·
 2011 03  68205.
 2011 04  21198·
 2011 05  87223.
 2011 06  11233.
 2011 07  24197.
 2011 08  79214·
 2011 09  93201.
 2011 10  32194·
 2011 11  5193.
 2011 12  97181.
 2012 01 15177.
 2012 02 70186·
 2012 03 74149.
 2012 04 69150.
 2012 05 78175·
 2012 06 81154.
 2012 07 19166.
 2012 08 15136.
 2012 09 33157.
 2012 10 48136.
 2012 11 52159.
 2012 12 79161·
 2013 01  55151.
 2013 02  76128·
 2013 03  13138.
 2013 04  30115·
 2013 05  44146·
 2013 06  98151.
 2013 07  62148·
 2013 08  62140·
 2013 09  26136.
 2013 10  70119.
 2013 11  90116·
 2013 12  9494.
 2014 01 5293.
 2014 02 73108.
 2014 03 7123·
 2014 04 70128·
 2014 05 9679.
 2014 06 15100.
 2014 07 5392.
 2014 08 6096.
 2014 09 6087.
 2014 10 2784·
 2014 11 9089·
 2014 12 5873·
 2015 01  6782·
 2015 02  65105·
 2015 03  795.
 2015 04  8291·
 2015 05  7086.
 2015 06  1277.
 2015 07  1573.
 2015 08  7886·
 2015 09  4385.
 2015 10  7375·
 2015 11  5364.
 2015 12  1391.
 2016 01 87110·
 2016 02 8181.
 2016 03 8392·
 2016 04 8378.
 2016 05 2675.
 2016 06 9272.
 2016 07 9469.
 2016 08 672.
 2016 09 1277.
 2016 10 8879.
 2016 11 9988·
 2016 12 2670.
 2017 01  2073·
 2017 02  7655·
 2017 03  3551·
 2017 04  1366·


 2017 05  5053.
 2017 06  8667·
 2017 07  6538·
 2017 08  6157.
 2017 09  2749·
 2017 10  7632.
 2017 11  7853·
 2017 12  8978.
 2018 01 365·
 2018 02 2889·
 2018 03 8577·
 2018 04 4176·
 2018 05 5270·
 2018 06 4732·
 2018 07 2639.
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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
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