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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 57215·
 2000 02 3220·
 2000 03 77168.
 2000 04 64210·
 2000 05 71195.
 2000 06 8158·
 2000 07 88169·
 2000 08 53164·
 2000 09 26144.
 2000 10 87210.
 2000 11 75183.
 2000 12 17176.
 2001 01  73215·
 2001 02  21275·
 2001 03  51257·
 2001 04  98240.
 2001 05  87272.
 2001 06  16247.
 2001 07  54302·
 2001 08  66324·
 2001 09  69317.
 2001 10  5346·
 2001 11  46392.
 2001 12  15444.
 2002 01 43517.
 2002 02 44505.
 2002 03 15531·
 2002 04 64587·
 2002 05 61611.
 2002 06 15545·
 2002 07 75543·
 2002 08 58479·
 2002 09 98456·
 2002 10 24515.
 2002 11 63471.
 2002 12 65578·
 2003 01  53625.
 2003 02  3585·
 2003 03  43594.
 2003 04  80622·
 2003 05  53613·
 2003 06  8634·
 2003 07  1578·
 2003 08  21648·
 2003 09  48539·
 2003 10  22489·
 2003 11  51501·
 2003 12  34469.
 2004 01 13560.
 2004 02 51580·
 2004 03 31557·
 2004 04 87518.
 2004 05 49519.
 2004 06 26477·
 2004 07 4416·
 2004 08 73429·
 2004 09 81390.
 2004 10 4342·
 2004 11 57409.
 2004 12 14405·
 2005 01  59356.
 2005 02  67389·
 2005 03  4390.
 2005 04  51329·
 2005 05  59358.
 2005 06  22235.
 2005 07  82276.
 2005 08  56291.
 2005 09  81294.
 2005 10  99329.
 2005 11  55357.
 2005 12  21312.
 2006 01 51284·
 2006 02 57300.
 2006 03 10304.
 2006 04 66311·
 2006 05 18268.
 2006 06 75212·
 2006 07 59265.
 2006 08 35253.
 2006 09 60220·
 2006 10 62216·
 2006 11 42222.
 2006 12 97228·
 2007 01  74255·
 2007 02  48274·
 2007 03  20281·
 2007 04  46289.
 2007 05  89223.
 2007 06  91244.
 2007 07  83240.
 2007 08  3248.
 2007 09  52244.
 2007 10  72238·
 2007 11  41271.
 2007 12  9305·
 2008 01 41321·
 2008 02 97316·
 2008 03 35325·
 2008 04 36340.
 2008 05 54333·
 2008 06 98374·
 2008 07 26380·
 2008 08 76407.
 2008 09 19426·
 2008 10 32439.
 2008 11 2459·
 2008 12 49495.
 2009 01  85592·
 2009 02  81782·
 2009 03  76813·
 2009 04  01001·
 2009 05  271083·
 2009 06  501190.
 2009 07  861170·
 2009 08  971115.
 2009 09  461183·
 2009 10  731291·
 2009 11  951283.
 2009 12  341203·
 2010 01 671270.
 2010 02 51213·
 2010 03 911350.
 2010 04 311289.
 2010 05 411134.
 2010 06 281081·
 2010 07 871060.
 2010 08 32995.
 2010 09 43998.
 2010 10 481002·
 2010 11 201023.
 2010 12 51051·
 2011 01  741037.
 2011 02  98990·
 2011 03  541009·
 2011 04  46982.
 2011 05  58994·
 2011 06  34974.
 2011 07  77948.
 2011 08  72949·
 2011 09  47875·
 2011 10  38748.
 2011 11  0768.
 2011 12  29789·
 2012 01 15782·
 2012 02 16800.
 2012 03 63733·
 2012 04 86722·
 2012 05 63700.
 2012 06 99681.
 2012 07 28691·
 2012 08 36690·
 2012 09 17667·
 2012 10 46688·
 2012 11 83597·
 2012 12 99673.
 2013 01  26632.
 2013 02  36676.
 2013 03  41647·
 2013 04  18627·
 2013 05  67682·
 2013 06  77601.
 2013 07  39606·
 2013 08  64556.
 2013 09  39572·
 2013 10  1589.
 2013 11  41626.
 2013 12  30516·
 2014 01 68479·
 2014 02 64446.
 2014 03 35471.
 2014 04 35450.
 2014 05 4458.
 2014 06 47388·
 2014 07 33425·
 2014 08 23417·
 2014 09 23392.
 2014 10 58357·
 2014 11 73340·
 2014 12 65300·
 2015 01  26400.
 2015 02  28457.
 2015 03  19379.
 2015 04  52306.
 2015 05  37347·
 2015 06  13252.
 2015 07  58266·
 2015 08  6266.
 2015 09  6257.
 2015 10  96289.
 2015 11  2249·
 2015 12  70265.
 2016 01 11256·
 2016 02 83274·
 2016 03 91317·
 2016 04 12370.
 2016 05 49329·
 2016 06 5255·
 2016 07 86314·
 2016 08 29292.
 2016 09 48308·
 2016 10 20334.
 2016 11 76316.
 2016 12 37275.
 2017 01  58296.
 2017 02  8259·


 2017 03  74247·
 2017 04  82276·
 2017 05  53227.
 2017 06  77218.
 2017 07  17262.
 2017 08  33198.
 2017 09  34233·
 2017 10  58186.
 2017 11  68159.
 2017 12  83188·
 2018 01 27183.
 2018 02 8177.
 2018 03 16160·
 2018 04 53219·
 2018 05 83243·
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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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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