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 Series Title: Unemployment Level: Veterans, Other Service Periods, 35 to 44 years, Women: NSA
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 2006 05 370.
 2006 06 217.
 2006 07 427.
 2006 08 673·
 2006 09 8510·
 2006 10 8717.
 2006 11 66
 2006 12 4613.
 2007 01  313·
 2007 02  829.
 2007 03  2110.
 2007 04  546·
 2007 05  246.
 2007 06  896.
 2007 07  2210.
 2007 08  369.
 2007 09  413.
 2007 10  146·
 2007 11  53.
 2007 12  627·
 2008 01 82
 2008 02 897·
 2008 03 34
 2008 04 255.
 2008 05 72
 2008 06 700·
 2008 07 970.
 2008 08 443.
 2008 09 610.
 2008 10 384.
 2008 11 77.
 2008 12 64
 2009 01  2511·
 2009 02  211·
 2009 03  17.
 2009 04  5415.
 2009 05  65
 2009 06  918·
 2009 07  435.
 2009 08  74.
 2009 09  56·
 2009 10  640·
 2009 11  192·
 2009 12  446.
 2010 01 976.
 2010 02 1
 2010 03 4413.
 2010 04 8
 2010 05 156·
 2010 06 97·
 2010 07 554.
 2010 08 684.
 2010 09 59
 2010 10 200·
 2010 11 150.
 2010 12 180.
 2011 01  573.
 2011 02  901.
 2011 03  122.
 2011 04  796·
 2011 05  569.
 2011 06  126·
 2011 07  5917.
 2011 08  9311·
 2011 09  34
 2011 10  600.
 2011 11  933·
 2011 12  293.
 2012 01 900·
 2012 02 980.
 2012 03 780·
 2012 04 830·
 2012 05 510.
 2012 06 720.
 2012 07 12.
 2012 08 732·
 2012 09 652·
 2012 10 642.
 2012 11 750.
 2012 12 440.
 2013 01  96·
 2013 02  80
 2013 03  391.
 2013 04  630.
 2013 05  835.
 2013 06  52
 2013 07  54
 2013 08  277·
 2013 09  120·
 2013 10  370·
 2013 11  10
 2013 12  530·
 2014 01 470.
 2014 02 150.
 2014 03 190.
 2014 04 862·
 2014 05 640.
 2014 06 950·
 2014 07 180.
 2014 08 950·
 2014 09 620.
 2014 10 70·
 2014 11 710.
 2014 12 740·
 2015 01  660·
 2015 02  8
 2015 03  650.
 2015 04  420·
 2015 05  290.
 2015 06  800.
 2015 07  140.
 2015 08  440·
 2015 09  243.
 2015 10  293.
 2015 11  550·
 2015 12  480.
 2016 01 520.
 2016 02 870.
 2016 03 520.
 2016 04 490.
 2016 05 390·
 2016 06 110.
 2016 07 910·
 2016 08 660.
 2016 09 34
 2016 10 820·
 2016 11 870·
 2016 12 430.
 2017 01  140·
 2017 02  7
 2017 03  760.
 2017 04  490.
 2017 05  790·
 2017 06  17


 2017 07  220·
 2017 08  79
 2017 09  530.
 2017 10  70
 2017 11  13
 2017 12  500.
 2018 01 880.
 2018 02 470.
 2018 03 61
 2018 04 90·
 2018 05 590·
 2018 06 540.
 2018 07 50.
 2018 08 230.
 2018 09 67
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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, 35 to 44 years, Women: 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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