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 Series Title: Number Unemployed for 27 Weeks and over, Manufacturing: NSA
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 2000 01 49136.
 2000 02 43120·
 2000 03 6790.
 2000 04 26108.
 2000 05 45124·
 2000 06 5383.
 2000 07 8294.
 2000 08 9275.
 2000 09 2572·
 2000 10 80117·
 2000 11 16101·
 2000 12 7686.
 2001 01  41113.
 2001 02  7110·
 2001 03  83101.
 2001 04  21116·
 2001 05  68104·
 2001 06  3986·
 2001 07  20117.
 2001 08  97166·
 2001 09  6123·
 2001 10  8151.
 2001 11  90188.
 2001 12  98209.
 2002 01 81246·
 2002 02 70239.
 2002 03 82264·
 2002 04 43327.
 2002 05 43301·
 2002 06 8289.
 2002 07 8288·
 2002 08 76266·
 2002 09 67299·
 2002 10 29308·
 2002 11 6300·
 2002 12 67368.
 2003 01  54403·
 2003 02  62373·
 2003 03  38355·
 2003 04  8377·
 2003 05  29390.
 2003 06  67418.
 2003 07  94358·
 2003 08  21406.
 2003 09  43339.
 2003 10  23343.
 2003 11  85308·
 2003 12  47318.
 2004 01 71372·
 2004 02 38348.
 2004 03 50358·
 2004 04 58349.
 2004 05 14322·
 2004 06 43329.
 2004 07 51272·
 2004 08 47258·
 2004 09 96248.
 2004 10 95244·
 2004 11 77264.
 2004 12 33265.
 2005 01  68229.
 2005 02  76208·
 2005 03  39237·
 2005 04  60187.
 2005 05  6193.
 2005 06  91150.
 2005 07  77179.
 2005 08  97178.
 2005 09  9186·
 2005 10  74189.
 2005 11  53221·
 2005 12  39178·
 2006 01 4168·
 2006 02 80162·
 2006 03 55160·
 2006 04 5179.
 2006 05 41148·
 2006 06 91110·
 2006 07 96131·
 2006 08 38148.
 2006 09 95122·
 2006 10 14111·
 2006 11 13105·
 2006 12 8131.
 2007 01  67146·
 2007 02  80161.
 2007 03  70156·
 2007 04  10162·
 2007 05  81122.
 2007 06  47121·
 2007 07  54138·
 2007 08  61147·
 2007 09  89146·
 2007 10  95174.
 2007 11  79177·
 2007 12  7170·
 2008 01 65191.
 2008 02 31170·
 2008 03 82185·
 2008 04 17220·
 2008 05 10202·
 2008 06 87217·
 2008 07 26245.
 2008 08 84244·
 2008 09 50253.
 2008 10 20266.
 2008 11 99270.
 2008 12 28298·
 2009 01  35340·
 2009 02  11416·
 2009 03  14420.
 2009 04  93555·
 2009 05  40642·
 2009 06  67643.
 2009 07  9723·
 2009 08  48739·
 2009 09  65781.
 2009 10  20839·
 2009 11  47913.
 2009 12  87874·
 2010 01 371008.
 2010 02 25917.
 2010 03 151049.
 2010 04 301026·
 2010 05 5903.
 2010 06 66833·
 2010 07 27817.
 2010 08 20783·
 2010 09 45819·
 2010 10 48793·
 2010 11 20845·
 2010 12 26863·
 2011 01  57833·
 2011 02  3778·
 2011 03  57796.
 2011 04  44767.
 2011 05  67763.
 2011 06  87759.
 2011 07  27754·
 2011 08  91752·
 2011 09  24701.
 2011 10  83583·
 2011 11  41613·
 2011 12  12603·
 2012 01 5601.
 2012 02 97594.
 2012 03 39549.
 2012 04 77539.
 2012 05 10541·
 2012 06 61530·
 2012 07 82550·
 2012 08 79551.
 2012 09 64484.
 2012 10 31504.
 2012 11 59453.
 2012 12 37499.
 2013 01  17453·
 2013 02  89491·
 2013 03  83467.
 2013 04  96464.
 2013 05  46489·
 2013 06  41395.
 2013 07  91435.
 2013 08  25409·
 2013 09  49436.
 2013 10  20431·
 2013 11  46455·
 2013 12  18346.
 2014 01 54331·
 2014 02 81300·
 2014 03 37336·
 2014 04 93334.
 2014 05 9328·
 2014 06 7260·
 2014 07 76317.
 2014 08 96289·
 2014 09 91264·
 2014 10 4271·
 2014 11 1233·
 2014 12 96224·
 2015 01  0277·
 2015 02  4311·
 2015 03  75260.
 2015 04  85201·
 2015 05  61263.
 2015 06  63142·
 2015 07  86188.
 2015 08  84151.
 2015 09  25140.
 2015 10  64184·
 2015 11  47148.
 2015 12  37155·
 2016 01 67168.
 2016 02 12186.
 2016 03 95193·
 2016 04 13232.
 2016 05 87184·
 2016 06 39171·
 2016 07 94199.
 2016 08 6202.
 2016 09 11218·
 2016 10 2221·
 2016 11 31210·
 2016 12 35169.
 2017 01  90167·
 2017 02  83166.


 2017 03  20154·
 2017 04  45166.
 2017 05  98103.
 2017 06  88146·
 2017 07  97175·
 2017 08  3113.
 2017 09  36140·
 2017 10  49104.
 2017 11  27101.
 2017 12  6138·
 2018 01 29118.
 2018 02 23109.
 2018 03 9792.
 2018 04 71122·
 2018 05 29153.
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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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