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 Series Title: Number Unemployed for 15 Weeks and over, 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 46215.
 2000 02 97220·
 2000 03 11168.
 2000 04 57210·
 2000 05 33195·
 2000 06 35158.
 2000 07 64169.
 2000 08 48164.
 2000 09 99144.
 2000 10 84210·
 2000 11 30183.
 2000 12 50176.
 2001 01  94215.
 2001 02  26275·
 2001 03  23257.
 2001 04  8240.
 2001 05  94272·
 2001 06  66247.
 2001 07  80302·
 2001 08  90324·
 2001 09  99317.
 2001 10  38346·
 2001 11  64392.
 2001 12  90444·
 2002 01 34517.
 2002 02 97505·
 2002 03 63531.
 2002 04 28587·
 2002 05 50611.
 2002 06 25545·
 2002 07 90543.
 2002 08 48479·
 2002 09 22456·
 2002 10 29515·
 2002 11 83471.
 2002 12 19578·
 2003 01  51625.
 2003 02  41585.
 2003 03  4594·
 2003 04  36622.
 2003 05  62613.
 2003 06  16634.
 2003 07  42578.
 2003 08  16648·
 2003 09  5539·
 2003 10  38489.
 2003 11  9501·
 2003 12  5469·
 2004 01 56560·
 2004 02 12580.
 2004 03 44557·
 2004 04 72518.
 2004 05 15519·
 2004 06 69477·
 2004 07 8416·
 2004 08 10429·
 2004 09 7390·
 2004 10 68342.
 2004 11 91409·
 2004 12 39405·
 2005 01  84356·
 2005 02  88389·
 2005 03  5390.
 2005 04  3329·
 2005 05  20358.
 2005 06  38235·
 2005 07  88276.
 2005 08  71291·
 2005 09  15294.
 2005 10  48329.
 2005 11  2357·
 2005 12  37312·
 2006 01 96284·
 2006 02 76300·
 2006 03 36304·
 2006 04 21311·
 2006 05 12268·
 2006 06 2212·
 2006 07 3265·
 2006 08 67253.
 2006 09 38220·
 2006 10 34216·
 2006 11 40222.
 2006 12 43228.
 2007 01  77255·
 2007 02  3274.
 2007 03  11281·
 2007 04  44289·
 2007 05  51223.
 2007 06  66244.
 2007 07  2240·
 2007 08  89248·
 2007 09  13244·
 2007 10  4238.
 2007 11  28271.
 2007 12  22305.
 2008 01 37321·
 2008 02 24316·
 2008 03 26325·
 2008 04 12340·
 2008 05 25333·
 2008 06 58374·
 2008 07 59380.
 2008 08 54407.
 2008 09 0426.
 2008 10 62439.
 2008 11 14459.
 2008 12 66495·
 2009 01  14592.
 2009 02  18782.
 2009 03  5813.
 2009 04  931001·
 2009 05  421083.
 2009 06  331190.
 2009 07  701170.
 2009 08  31115·
 2009 09  841183·
 2009 10  381291.
 2009 11  711283·
 2009 12  921203.
 2010 01 661270.
 2010 02 901213·
 2010 03 971350·
 2010 04 781289·
 2010 05 381134·
 2010 06 711081·
 2010 07 601060.
 2010 08 5995·
 2010 09 76998·
 2010 10 871002.
 2010 11 971023.
 2010 12 421051·
 2011 01  801037·
 2011 02  69990.
 2011 03  731009.
 2011 04  84982.
 2011 05  75994·
 2011 06  75974·
 2011 07  75948·
 2011 08  50949·
 2011 09  12875·
 2011 10  86748·
 2011 11  16768·
 2011 12  83789·
 2012 01 66782·
 2012 02 9800·
 2012 03 33733.
 2012 04 54722·
 2012 05 37700.
 2012 06 76681.
 2012 07 90691·
 2012 08 55690.
 2012 09 51667·
 2012 10 42688·
 2012 11 74597.
 2012 12 7673.
 2013 01  59632.
 2013 02  90676.
 2013 03  99647·
 2013 04  53627.
 2013 05  35682·
 2013 06  26601·
 2013 07  2606.
 2013 08  62556.
 2013 09  81572·
 2013 10  83589·
 2013 11  46626·
 2013 12  29516.
 2014 01 20479.
 2014 02 15446.
 2014 03 19471·
 2014 04 73450.
 2014 05 5458·
 2014 06 7388·
 2014 07 35425.
 2014 08 38417.
 2014 09 10392·
 2014 10 62357.
 2014 11 29340.
 2014 12 93300.
 2015 01  36400·
 2015 02  15457·
 2015 03  67379.
 2015 04  32306.
 2015 05  7347·
 2015 06  21252.
 2015 07  35266·
 2015 08  75266.
 2015 09  75257.
 2015 10  61289·
 2015 11  47249·
 2015 12  65265.
 2016 01 15256.
 2016 02 43274·
 2016 03 40317.
 2016 04 72370.
 2016 05 27329.
 2016 06 98255·
 2016 07 77314.
 2016 08 89292·
 2016 09 37308·
 2016 10 83334.
 2016 11 47316.
 2016 12 36275.
 2017 01  94296·
 2017 02  79259·
 2017 03  61247.
 2017 04  58276.
 2017 05  75227.
 2017 06  93218.
 2017 07  59262·
 2017 08  22198·


 2017 09  80233.
 2017 10  56186·
 2017 11  2159.
 2017 12  24188·
 2018 01 34183·
 2018 02 26177·
 2018 03 79160·
 2018 04 83219·
 2018 05 87243.
 2018 06 84200·
 2018 07 3221·
 2018 08 42186·
 2018 09 16227.
 2018 10 37222.
 2018 11 11188·
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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 Weeks and over, 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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