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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 7980·
 2000 02 51100·
 2000 03 7978.
 2000 04 2102.
 2000 05 8572.
 2000 06 9575.
 2000 07 9976·
 2000 08 9690.
 2000 09 6572.
 2000 10 4394.
 2000 11 2682.
 2000 12 9489.
 2001 01  68102.
 2001 02  78165.
 2001 03  73156·
 2001 04  42124.
 2001 05  68168·
 2001 06  5161.
 2001 07  78186.
 2001 08  8157.
 2001 09  68194·
 2001 10  58196.
 2001 11  3204.
 2001 12  86236·
 2002 01 92272.
 2002 02 91266.
 2002 03 38267.
 2002 04 95260.
 2002 05 90310.
 2002 06 88256.
 2002 07 94255·
 2002 08 80212·
 2002 09 39157.
 2002 10 54207.
 2002 11 9171.
 2002 12 10210.
 2003 01  37222.
 2003 02  21212.
 2003 03  47238.
 2003 04  79245.
 2003 05  11223·
 2003 06  47216.
 2003 07  96220·
 2003 08  6243·
 2003 09  12200·
 2003 10  11146·
 2003 11  67192·
 2003 12  35150·
 2004 01 14187.
 2004 02 22231·
 2004 03 0199·
 2004 04 36169·
 2004 05 18197.
 2004 06 10148.
 2004 07 56144·
 2004 08 1172.
 2004 09 49142.
 2004 10 3398·
 2004 11 24144.
 2004 12 52140.
 2005 01  57127.
 2005 02  72181.
 2005 03  17153.
 2005 04  31141.
 2005 05  19165.
 2005 06  3485.
 2005 07  7396.
 2005 08  8113.
 2005 09  35108.
 2005 10  50141.
 2005 11  54136·
 2005 12  77134.
 2006 01 29116·
 2006 02 77138.
 2006 03 49143·
 2006 04 57131·
 2006 05 52120·
 2006 06 96102·
 2006 07 70134·
 2006 08 93105·
 2006 09 8097·
 2006 10 15105·
 2006 11 55118·
 2006 12 5396.
 2007 01  13109·
 2007 02  65113·
 2007 03  67125.
 2007 04  31127.
 2007 05  76100·
 2007 06  2123·
 2007 07  94102.
 2007 08  48101·
 2007 09  2098·
 2007 10  963.
 2007 11  4994.
 2007 12  46136.
 2008 01 21130.
 2008 02 91146.
 2008 03 70140.
 2008 04 95120·
 2008 05 78131.
 2008 06 81157·
 2008 07 19136·
 2008 08 89163·
 2008 09 17173.
 2008 10 34173.
 2008 11 85189·
 2008 12 48198.
 2009 01  88252·
 2009 02  34366.
 2009 03  81393·
 2009 04  15446·
 2009 05  67441.
 2009 06  86548·
 2009 07  43448.
 2009 08  60376·
 2009 09  54402.
 2009 10  22452·
 2009 11  36370·
 2009 12  76329.
 2010 01 74262.
 2010 02 98296·
 2010 03 47301.
 2010 04 83263·
 2010 05 79231.
 2010 06 97248·
 2010 07 89243.
 2010 08 25212·
 2010 09 43179.
 2010 10 25209.
 2010 11 0178·
 2010 12 72188·
 2011 01  66203·
 2011 02  13212·
 2011 03  43213·
 2011 04  16215.
 2011 05  75231·
 2011 06  19215.
 2011 07  5194·
 2011 08  78197·
 2011 09  19173·
 2011 10  23165.
 2011 11  0155.
 2011 12  2186·
 2012 01 74181·
 2012 02 33205·
 2012 03 65184.
 2012 04 56182.
 2012 05 40159·
 2012 06 80151.
 2012 07 64141.
 2012 08 35139·
 2012 09 43183.
 2012 10 21184·
 2012 11 84144.
 2012 12 58174·
 2013 01  33179.
 2013 02  37185.
 2013 03  37180·
 2013 04  69164.
 2013 05  86193.
 2013 06  35206.
 2013 07  63171.
 2013 08  38147.
 2013 09  1136.
 2013 10  47159·
 2013 11  24171.
 2013 12  57170.
 2014 01 4149·
 2014 02 30146·
 2014 03 8135.
 2014 04 48117.
 2014 05 46130.
 2014 06 64127·
 2014 07 27108.
 2014 08 53128.
 2014 09 2127·
 2014 10 5786·
 2014 11 20108.
 2014 12 4276·
 2015 01  73123·
 2015 02  40146·
 2015 03  49120·
 2015 04  8106·
 2015 05  8385.
 2015 06  71110·
 2015 07  378.
 2015 08  72115·
 2015 09  83116·
 2015 10  29105·
 2015 11  94101·
 2015 12  77109.
 2016 01 4988·
 2016 02 2389·
 2016 03 60124.
 2016 04 93138·
 2016 05 81145·
 2016 06 8484.
 2016 07 64116·
 2016 08 1391.
 2016 09 490.
 2016 10 68114.
 2016 11 94107.
 2016 12 57106.
 2017 01  69129.
 2017 02  5793·


 2017 03  6393.
 2017 04  68110.
 2017 05  51124.
 2017 06  5872.
 2017 07  887.
 2017 08  1785.
 2017 09  5193·
 2017 10  382·
 2017 11  9358.
 2017 12  9650·
 2018 01 9365.
 2018 02 4768·
 2018 03 668.
 2018 04 2698.
 2018 05 2990·
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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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