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 Series Title: Number Unemployed for 15-26 Weeks, Educational and Health Services: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 6255·
 2000 02 6162.
 2000 03 5765.
 2000 04 3857·
 2000 05 2076·
 2000 06 1881·
 2000 07 5246.
 2000 08 7050·
 2000 09 072.
 2000 10 3054·
 2000 11 564.
 2000 12 5754·
 2001 01  5382·
 2001 02  7886.
 2001 03  2881.
 2001 04  4257.
 2001 05  5575·
 2001 06  6983·
 2001 07  5869.
 2001 08  9675.
 2001 09  585.
 2001 10  3470.
 2001 11  6079.
 2001 12  1396.
 2002 01 30118.
 2002 02 31105·
 2002 03 20147.
 2002 04 1195·
 2002 05 7982.
 2002 06 4198.
 2002 07 52114.
 2002 08 3491·
 2002 09 28107·
 2002 10 71119.
 2002 11 93105·
 2002 12 52118.
 2003 01  78109.
 2003 02  51133.
 2003 03  7102.
 2003 04  59149·
 2003 05  5392·
 2003 06  40147·
 2003 07  81135.
 2003 08  75117·
 2003 09  4132·
 2003 10  17146·
 2003 11  28171·
 2003 12  42158.
 2004 01 7159.
 2004 02 92126·
 2004 03 87145·
 2004 04 31157·
 2004 05 61132·
 2004 06 93140.
 2004 07 19115.
 2004 08 35111.
 2004 09 93126·
 2004 10 80152.
 2004 11 13124·
 2004 12 73148.
 2005 01  53123.
 2005 02  32144.
 2005 03  82123·
 2005 04  91119·
 2005 05  15134.
 2005 06  57113.
 2005 07  6390·
 2005 08  5682·
 2005 09  81103.
 2005 10  86109.
 2005 11  20123·
 2005 12  63119.
 2006 01 76121·
 2006 02 76141.
 2006 03 41136.
 2006 04 32140.
 2006 05 5087·
 2006 06 979.
 2006 07 37115.
 2006 08 6124·
 2006 09 79115·
 2006 10 91111·
 2006 11 48123.
 2006 12 54135·
 2007 01  63128.
 2007 02  54111.
 2007 03  36112.
 2007 04  71150·
 2007 05  27151·
 2007 06  55111·
 2007 07  89110.
 2007 08  76104.
 2007 09  22127.
 2007 10  74118·
 2007 11  20107.
 2007 12  12117.
 2008 01 23120.
 2008 02 20115·
 2008 03 66100.
 2008 04 49118·
 2008 05 31106.
 2008 06 23125.
 2008 07 92136·
 2008 08 82157·
 2008 09 70136.
 2008 10 40169·
 2008 11 83190.
 2008 12 29194·
 2009 01  92164·
 2009 02  53191.
 2009 03  54245.
 2009 04  34270·
 2009 05  72239.
 2009 06  68314.
 2009 07  43257.
 2009 08  67239·
 2009 09  10281.
 2009 10  17302.
 2009 11  12267.
 2009 12  22337.
 2010 01 31251·
 2010 02 57289.
 2010 03 48258.
 2010 04 17236·
 2010 05 87244.
 2010 06 69206·
 2010 07 66228·
 2010 08 98258·
 2010 09 51293·
 2010 10 60320·
 2010 11 3254·
 2010 12 32214.
 2011 01  26226.
 2011 02  62243·
 2011 03  21242·
 2011 04  15263·
 2011 05  35265.
 2011 06  30205·
 2011 07  9202.
 2011 08  65250.
 2011 09  30183.
 2011 10  48270·
 2011 11  80280·
 2011 12  27244·
 2012 01 86227·
 2012 02 21257.
 2012 03 71254.
 2012 04 70203.
 2012 05 3231·
 2012 06 82269.
 2012 07 45171·
 2012 08 87178·
 2012 09 7234.
 2012 10 86243·
 2012 11 91313·
 2012 12 98284.
 2013 01  47239.
 2013 02  15226.
 2013 03  21182.
 2013 04  48190·
 2013 05  0208.
 2013 06  77203.
 2013 07  72201·
 2013 08  4185·
 2013 09  66260.
 2013 10  2218·
 2013 11  9212·
 2013 12  63210.
 2014 01 71206.
 2014 02 48197·
 2014 03 18174.
 2014 04 41158.
 2014 05 63176.
 2014 06 96198.
 2014 07 13146·
 2014 08 84118·
 2014 09 20133·
 2014 10 52199·
 2014 11 32185.
 2014 12 62166.
 2015 01  41144.
 2015 02  48181.
 2015 03  37187·
 2015 04  67136·
 2015 05  52132.
 2015 06  42147·
 2015 07  16118.
 2015 08  19142·
 2015 09  4145.
 2015 10  14185.
 2015 11  83160·
 2015 12  62163·
 2016 01 70161·
 2016 02 71162·
 2016 03 75148.
 2016 04 66156.
 2016 05 53147·
 2016 06 45134·
 2016 07 55136.
 2016 08 24145·
 2016 09 77160.
 2016 10 92172·
 2016 11 11174·
 2016 12 56155·
 2017 01  93127.
 2017 02  95150.
 2017 03  55144·
 2017 04  6125.
 2017 05  75122·
 2017 06  59113.
 2017 07  26119·
 2017 08  43181.
 2017 09  26146·


 2017 10  17151·
 2017 11  87112.
 2017 12  61130.
 2018 01 69118·
 2018 02 25144.
 2018 03 25124.
 2018 04 79117·
 2018 05 5599.
 2018 06 64118.
 2018 07 5491.
 2018 08 41157·
 2018 09 61120.
 2018 10 42162.
 2018 11 11142.
 2018 12 1791.
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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: Number Unemployed for 15-26 Weeks, Educational and Health Services: 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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