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 Series Title: Unemployment Level: Veterans, Other Service Periods, 18 years and over, White: NSA
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 2006 05 9478·
 2006 06 5872·
 2006 07 83105.
 2006 08 4378.
 2006 09 3190·
 2006 10 45105·
 2006 11 8797.
 2006 12 83112.
 2007 01  47101·
 2007 02  4491·
 2007 03  3104.
 2007 04  36129·
 2007 05  9284.
 2007 06  3687·
 2007 07  46108.
 2007 08  4389·
 2007 09  4281.
 2007 10  26104.
 2007 11  53111.
 2007 12  75133.
 2008 01 97134.
 2008 02 48140.
 2008 03 87131.
 2008 04 2594.
 2008 05 8292·
 2008 06 5787·
 2008 07 3695.
 2008 08 14108.
 2008 09 48114.
 2008 10 35159·
 2008 11 13157·
 2008 12 84210·
 2009 01  70231.
 2009 02  89270·
 2009 03  55293.
 2009 04  5245.
 2009 05  49232.
 2009 06  51218·
 2009 07  27209·
 2009 08  71191.
 2009 09  10215·
 2009 10  77200·
 2009 11  14235.
 2009 12  1234.
 2010 01 3253·
 2010 02 48287·
 2010 03 32281.
 2010 04 40261·
 2010 05 4221.
 2010 06 72224.
 2010 07 16223·
 2010 08 57222.
 2010 09 13200·
 2010 10 79175.
 2010 11 31175·
 2010 12 45203.
 2011 01  55221.
 2011 02  28222·
 2011 03  64205.
 2011 04  24198.
 2011 05  82223·
 2011 06  99233·
 2011 07  28197·
 2011 08  38214·
 2011 09  67201·
 2011 10  98194.
 2011 11  60193.
 2011 12  56181.
 2012 01 13177.
 2012 02 58186·
 2012 03 25149·
 2012 04 73150·
 2012 05 43175.
 2012 06 36154.
 2012 07 9166·
 2012 08 6136·
 2012 09 9157·
 2012 10 12136.
 2012 11 26159·
 2012 12 2161.
 2013 01  86151.
 2013 02  94128·
 2013 03  13138.
 2013 04  28115·
 2013 05  74146·
 2013 06  13151·
 2013 07  33148·
 2013 08  79140·
 2013 09  99136·
 2013 10  26119.
 2013 11  75116·
 2013 12  7494.
 2014 01 1193·
 2014 02 14108·
 2014 03 51123.
 2014 04 57128.
 2014 05 8579.
 2014 06 84100·
 2014 07 9992·
 2014 08 9796.
 2014 09 2287·
 2014 10 6884.
 2014 11 8189.
 2014 12 8973.
 2015 01  4782·
 2015 02  22105·
 2015 03  8795·
 2015 04  5191.
 2015 05  1186.
 2015 06  2877·
 2015 07  2873·
 2015 08  2886.
 2015 09  8985·
 2015 10  9375·
 2015 11  4364·
 2015 12  8991.
 2016 01 82110·
 2016 02 4881·
 2016 03 9492.
 2016 04 2778.
 2016 05 1475·
 2016 06 5072.
 2016 07 6969.
 2016 08 6372.
 2016 09 3677·
 2016 10 8179.
 2016 11 8288.
 2016 12 4070·
 2017 01  2473.
 2017 02  4755.
 2017 03  7051.
 2017 04  2866.
 2017 05  7753·
 2017 06  7967·
 2017 07  9638.
 2017 08  1957.
 2017 09  2249.


 2017 10  3532.
 2017 11  4853·
 2017 12  3578.
 2018 01 965·
 2018 02 9789·
 2018 03 3977.
 2018 04 1876.
 2018 05 1370.
 2018 06 6932·
 2018 07 639·
 2018 08 3955.
 2018 09 3552.
 2018 10 8643·
 2018 11 1342.
 2018 12 9039.
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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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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