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 Series Title: Number Unemployed for 27 Weeks and over, Manufacturing: NSA
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 2000 01 19136·
 2000 02 0120.
 2000 03 4890.
 2000 04 77108·
 2000 05 27124.
 2000 06 3983.
 2000 07 5794·
 2000 08 5375.
 2000 09 8372.
 2000 10 57117·
 2000 11 47101·
 2000 12 986·
 2001 01  37113·
 2001 02  37110.
 2001 03  33101·
 2001 04  89116.
 2001 05  64104.
 2001 06  8486.
 2001 07  51117.
 2001 08  62166.
 2001 09  64123.
 2001 10  32151·
 2001 11  66188.
 2001 12  23209.
 2002 01 64246·
 2002 02 35239·
 2002 03 64264·
 2002 04 90327·
 2002 05 14301.
 2002 06 77289.
 2002 07 59288.
 2002 08 7266.
 2002 09 88299.
 2002 10 63308.
 2002 11 88300.
 2002 12 45368.
 2003 01  88403·
 2003 02  25373·
 2003 03  15355·
 2003 04  96377.
 2003 05  39390.
 2003 06  20418.
 2003 07  27358.
 2003 08  80406·
 2003 09  90339·
 2003 10  30343·
 2003 11  37308·
 2003 12  42318.
 2004 01 18372·
 2004 02 60348·
 2004 03 83358.
 2004 04 49349.
 2004 05 23322·
 2004 06 44329·
 2004 07 28272.
 2004 08 98258.
 2004 09 31248.
 2004 10 37244·
 2004 11 60264·
 2004 12 6265.
 2005 01  90229.
 2005 02  20208·
 2005 03  92237.
 2005 04  17187.
 2005 05  78193.
 2005 06  2150·
 2005 07  61179·
 2005 08  2178·
 2005 09  95186.
 2005 10  13189.
 2005 11  31221.
 2005 12  53178·
 2006 01 65168·
 2006 02 10162·
 2006 03 89160.
 2006 04 91179.
 2006 05 40148.
 2006 06 74110·
 2006 07 49131·
 2006 08 59148·
 2006 09 94122.
 2006 10 13111.
 2006 11 48105·
 2006 12 26131.
 2007 01  28146.
 2007 02  58161·
 2007 03  48156.
 2007 04  87162·
 2007 05  67122·
 2007 06  65121.
 2007 07  39138·
 2007 08  61147.
 2007 09  63146.
 2007 10  16174.
 2007 11  33177·
 2007 12  92170.
 2008 01 89191.
 2008 02 18170.
 2008 03 67185.
 2008 04 48220·
 2008 05 47202.
 2008 06 3217.
 2008 07 5245·
 2008 08 25244·
 2008 09 62253.
 2008 10 27266.
 2008 11 35270.
 2008 12 41298.
 2009 01  85340.
 2009 02  71416.
 2009 03  69420·
 2009 04  40555.
 2009 05  90642·
 2009 06  43643·
 2009 07  45723.
 2009 08  92739.
 2009 09  78781·
 2009 10  74839.
 2009 11  27913.
 2009 12  91874.
 2010 01 751008·
 2010 02 20917.
 2010 03 21049.
 2010 04 561026·
 2010 05 31903.
 2010 06 64833.
 2010 07 82817·
 2010 08 30783·
 2010 09 21819.
 2010 10 11793.
 2010 11 7845.
 2010 12 84863.
 2011 01  46833·
 2011 02  95778·
 2011 03  38796.
 2011 04  11767·
 2011 05  30763·
 2011 06  70759.
 2011 07  64754.
 2011 08  30752·
 2011 09  26701.
 2011 10  20583·
 2011 11  97613·
 2011 12  86603·
 2012 01 7601.
 2012 02 49594.
 2012 03 76549·
 2012 04 48539.
 2012 05 74541.
 2012 06 91530·
 2012 07 64550.
 2012 08 9551.
 2012 09 53484.
 2012 10 2504·
 2012 11 47453·
 2012 12 90499·
 2013 01  94453.
 2013 02  63491.
 2013 03  40467·
 2013 04  34464.
 2013 05  73489.
 2013 06  82395·
 2013 07  79435.
 2013 08  9409.
 2013 09  89436.
 2013 10  89431.
 2013 11  29455·
 2013 12  12346.
 2014 01 69331.
 2014 02 41300·
 2014 03 76336·
 2014 04 59334.
 2014 05 62328·
 2014 06 20260·
 2014 07 34317·
 2014 08 97289·
 2014 09 44264.
 2014 10 33271·
 2014 11 41233·
 2014 12 93224.
 2015 01  16277.
 2015 02  11311·
 2015 03  59260.
 2015 04  42201·
 2015 05  2263.
 2015 06  11142·
 2015 07  76188·
 2015 08  64151.
 2015 09  54140·
 2015 10  15184.
 2015 11  6148·
 2015 12  1155.
 2016 01 46168·
 2016 02 29186·
 2016 03 85193·
 2016 04 24232.
 2016 05 79184.
 2016 06 84171.
 2016 07 78199·
 2016 08 27202·
 2016 09 78218.
 2016 10 38221·
 2016 11 72210·
 2016 12 28169·
 2017 01  94167.
 2017 02  73166.
 2017 03  79154.
 2017 04  72166.
 2017 05  3103·
 2017 06  94146.
 2017 07  38175.
 2017 08  28113.
 2017 09  3140.


 2017 10  33104.
 2017 11  12101.
 2017 12  90138.
 2018 01 22118.
 2018 02 47109.
 2018 03 8892·
 2018 04 77122.
 2018 05 9153.
 2018 06 18134.
 2018 07 80121.
 2018 08 33111.
 2018 09 40151·
 2018 10 53143.
 2018 11 24111·
 2018 12 2887·
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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 27 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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