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 Series Title: Number Unemployed for 15-26 Weeks, Manufacturing: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 180·
 2000 02 59100.
 2000 03 7578·
 2000 04 7102.
 2000 05 4072.
 2000 06 5775·
 2000 07 4876.
 2000 08 2790.
 2000 09 9572·
 2000 10 594.
 2000 11 7282.
 2000 12 9789·
 2001 01  16102·
 2001 02  82165·
 2001 03  60156.
 2001 04  58124·
 2001 05  80168.
 2001 06  96161·
 2001 07  49186·
 2001 08  82157·
 2001 09  86194.
 2001 10  78196·
 2001 11  3204.
 2001 12  62236.
 2002 01 60272·
 2002 02 85266.
 2002 03 10267.
 2002 04 17260·
 2002 05 53310.
 2002 06 99256·
 2002 07 82255.
 2002 08 92212·
 2002 09 39157.
 2002 10 27207·
 2002 11 57171.
 2002 12 55210.
 2003 01  19222.
 2003 02  99212·
 2003 03  99238.
 2003 04  1245.
 2003 05  18223·
 2003 06  73216·
 2003 07  94220.
 2003 08  48243.
 2003 09  88200.
 2003 10  30146.
 2003 11  57192.
 2003 12  42150.
 2004 01 3187·
 2004 02 77231.
 2004 03 24199.
 2004 04 50169·
 2004 05 63197.
 2004 06 45148.
 2004 07 59144.
 2004 08 68172·
 2004 09 94142.
 2004 10 9298·
 2004 11 49144.
 2004 12 14140·
 2005 01  47127·
 2005 02  99181.
 2005 03  8153·
 2005 04  32141·
 2005 05  97165.
 2005 06  7185·
 2005 07  7396.
 2005 08  92113.
 2005 09  43108·
 2005 10  42141.
 2005 11  8136.
 2005 12  88134·
 2006 01 13116·
 2006 02 68138·
 2006 03 0143·
 2006 04 39131.
 2006 05 55120·
 2006 06 30102.
 2006 07 62134.
 2006 08 89105·
 2006 09 4697·
 2006 10 35105.
 2006 11 31118.
 2006 12 796.
 2007 01  85109.
 2007 02  15113.
 2007 03  72125.
 2007 04  88127·
 2007 05  99100·
 2007 06  26123·
 2007 07  71102·
 2007 08  50101·
 2007 09  3798.
 2007 10  5063.
 2007 11  4294·
 2007 12  37136.
 2008 01 75130·
 2008 02 93146.
 2008 03 23140.
 2008 04 19120.
 2008 05 14131·
 2008 06 88157.
 2008 07 75136.
 2008 08 91163.
 2008 09 78173.
 2008 10 90173·
 2008 11 88189.
 2008 12 70198.
 2009 01  18252·
 2009 02  82366.
 2009 03  75393.
 2009 04  1446.
 2009 05  10441.
 2009 06  70548·
 2009 07  72448.
 2009 08  54376·
 2009 09  54402·
 2009 10  86452.
 2009 11  43370.
 2009 12  22329.
 2010 01 75262.
 2010 02 86296.
 2010 03 77301·
 2010 04 25263·
 2010 05 23231.
 2010 06 53248.
 2010 07 84243·
 2010 08 6212·
 2010 09 75179·
 2010 10 92209·
 2010 11 5178.
 2010 12 36188.
 2011 01  30203·
 2011 02  35212.
 2011 03  1213.
 2011 04  7215.
 2011 05  14231.
 2011 06  39215·
 2011 07  60194·
 2011 08  40197.
 2011 09  77173.
 2011 10  86165·
 2011 11  96155·
 2011 12  78186.
 2012 01 95181.
 2012 02 82205.
 2012 03 46184.
 2012 04 90182.
 2012 05 68159·
 2012 06 60151.
 2012 07 73141.
 2012 08 71139.
 2012 09 21183·
 2012 10 74184.
 2012 11 65144·
 2012 12 40174.
 2013 01  5179·
 2013 02  8185.
 2013 03  35180.
 2013 04  40164·
 2013 05  95193.
 2013 06  67206.
 2013 07  21171.
 2013 08  42147·
 2013 09  92136.
 2013 10  84159.
 2013 11  85171.
 2013 12  38170·
 2014 01 21149·
 2014 02 16146·
 2014 03 16135·
 2014 04 49117·
 2014 05 32130.
 2014 06 42127.
 2014 07 26108·
 2014 08 19128.
 2014 09 0127·
 2014 10 7286.
 2014 11 53108·
 2014 12 1676.
 2015 01  27123·
 2015 02  35146.
 2015 03  61120·
 2015 04  34106.
 2015 05  3885.
 2015 06  89110.
 2015 07  3778.
 2015 08  94115.
 2015 09  82116.
 2015 10  15105·
 2015 11  94101.
 2015 12  38109·
 2016 01 3688·
 2016 02 2089·
 2016 03 69124.
 2016 04 37138·
 2016 05 99145·
 2016 06 3684·
 2016 07 27116.
 2016 08 8491.
 2016 09 9890.
 2016 10 19114.
 2016 11 54107.
 2016 12 98106·
 2017 01  82129.
 2017 02  5093·
 2017 03  6493·
 2017 04  24110.
 2017 05  27124.
 2017 06  3872·
 2017 07  9487.
 2017 08  3185·


 2017 09  3393.
 2017 10  1282.
 2017 11  758.
 2017 12  1250·
 2018 01 2665.
 2018 02 3068.
 2018 03 9268.
 2018 04 8798·
 2018 05 5590.
 2018 06 7467·
 2018 07 61100.
 2018 08 176·
 2018 09 9876.
 2018 10 5079·
 2018 11 5177.
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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, Manufacturing: 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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