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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 1255·
 2000 02 2562·
 2000 03 3965.
 2000 04 8357.
 2000 05 876·
 2000 06 6781·
 2000 07 1746.
 2000 08 4450.
 2000 09 1372·
 2000 10 5154·
 2000 11 3964·
 2000 12 4654.
 2001 01  8082.
 2001 02  5986·
 2001 03  1881·
 2001 04  3657·
 2001 05  8275.
 2001 06  9783.
 2001 07  9369·
 2001 08  8175.
 2001 09  2185·
 2001 10  9870·
 2001 11  2779.
 2001 12  7696·
 2002 01 21118.
 2002 02 17105·
 2002 03 6147.
 2002 04 4095.
 2002 05 3382.
 2002 06 3798.
 2002 07 45114·
 2002 08 1891.
 2002 09 33107.
 2002 10 64119·
 2002 11 81105.
 2002 12 77118.
 2003 01  20109.
 2003 02  29133.
 2003 03  76102.
 2003 04  13149·
 2003 05  2192·
 2003 06  90147.
 2003 07  20135·
 2003 08  44117·
 2003 09  85132.
 2003 10  28146.
 2003 11  24171.
 2003 12  15158·
 2004 01 88159·
 2004 02 50126.
 2004 03 26145.
 2004 04 95157·
 2004 05 31132.
 2004 06 86140.
 2004 07 91115.
 2004 08 78111·
 2004 09 39126.
 2004 10 95152·
 2004 11 4124·
 2004 12 83148.
 2005 01  61123.
 2005 02  57144·
 2005 03  80123.
 2005 04  54119·
 2005 05  74134.
 2005 06  80113·
 2005 07  5590·
 2005 08  6182·
 2005 09  78103.
 2005 10  94109·
 2005 11  94123·
 2005 12  97119.
 2006 01 99121·
 2006 02 57141·
 2006 03 84136.
 2006 04 81140.
 2006 05 8687·
 2006 06 4979.
 2006 07 37115.
 2006 08 59124.
 2006 09 15115·
 2006 10 79111·
 2006 11 93123·
 2006 12 98135.
 2007 01  87128·
 2007 02  77111.
 2007 03  12112.
 2007 04  94150·
 2007 05  27151·
 2007 06  0111·
 2007 07  85110.
 2007 08  65104·
 2007 09  85127.
 2007 10  29118·
 2007 11  22107·
 2007 12  55117.
 2008 01 37120·
 2008 02 72115·
 2008 03 63100.
 2008 04 34118.
 2008 05 82106·
 2008 06 60125·
 2008 07 70136.
 2008 08 95157.
 2008 09 48136·
 2008 10 50169.
 2008 11 31190·
 2008 12 58194·
 2009 01  83164.
 2009 02  23191.
 2009 03  59245·
 2009 04  67270.
 2009 05  63239.
 2009 06  85314.
 2009 07  92257·
 2009 08  91239·
 2009 09  89281·
 2009 10  69302·
 2009 11  93267.
 2009 12  24337·
 2010 01 86251.
 2010 02 32289.
 2010 03 49258·
 2010 04 86236.
 2010 05 5244·
 2010 06 54206.
 2010 07 73228.
 2010 08 20258.
 2010 09 20293·
 2010 10 42320·
 2010 11 4254·
 2010 12 96214.
 2011 01  32226.
 2011 02  29243·
 2011 03  4242·
 2011 04  8263.
 2011 05  67265.
 2011 06  70205·
 2011 07  62202·
 2011 08  74250·
 2011 09  75183.
 2011 10  48270.
 2011 11  89280·
 2011 12  40244·
 2012 01 32227.
 2012 02 68257·
 2012 03 25254·
 2012 04 73203·
 2012 05 37231·
 2012 06 64269·
 2012 07 31171·
 2012 08 69178.
 2012 09 16234.
 2012 10 90243·
 2012 11 96313·
 2012 12 47284·
 2013 01  20239·
 2013 02  30226.
 2013 03  32182·
 2013 04  50190.
 2013 05  24208·
 2013 06  89203·
 2013 07  78201·
 2013 08  48185·
 2013 09  28260.
 2013 10  99218.
 2013 11  97212·
 2013 12  35210·
 2014 01 57206·
 2014 02 17197·
 2014 03 76174·
 2014 04 30158.
 2014 05 63176.
 2014 06 25198·
 2014 07 28146.
 2014 08 77118·
 2014 09 21133.
 2014 10 29199.
 2014 11 91185·
 2014 12 45166.
 2015 01  30144·
 2015 02  60181·
 2015 03  27187·
 2015 04  29136.
 2015 05  17132·
 2015 06  76147.
 2015 07  26118.
 2015 08  47142·
 2015 09  31145·
 2015 10  58185·
 2015 11  0160.
 2015 12  44163.
 2016 01 48161·
 2016 02 13162·
 2016 03 86148·
 2016 04 89156.
 2016 05 69147·
 2016 06 72134.
 2016 07 48136.
 2016 08 76145.
 2016 09 18160.
 2016 10 91172.
 2016 11 73174.
 2016 12 25155·
 2017 01  47127·
 2017 02  54150.
 2017 03  74144.
 2017 04  78125·
 2017 05  31122·
 2017 06  66113.


 2017 07  90119.
 2017 08  6181·
 2017 09  69146·
 2017 10  58151·
 2017 11  82112.
 2017 12  3130.
 2018 01 88118·
 2018 02 89144·
 2018 03 40124.
 2018 04 87117·
 2018 05 3799.
 2018 06 38118.
 2018 07 7591.
 2018 08 3157·
 2018 09 93120·
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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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