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 Series Title: Employed: Manufacturing, Black or African American: 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 682105.
 2000 02 582107.
 2000 03 561961·
 2000 04 851921.
 2000 05 891859·
 2000 06 172044·
 2000 07 182003·
 2000 08 721978.
 2000 09 391948·
 2000 10 371946·
 2000 11 431880·
 2000 12 201918·
 2001 01  671935.
 2001 02  991888·
 2001 03  441834·
 2001 04  731799·
 2001 05  511810·
 2001 06  111764·
 2001 07  601777.
 2001 08  11807·
 2001 09  891695·
 2001 10  41682.
 2001 11  521633·
 2001 12  981692.
 2002 01 81725·
 2002 02 341716.
 2002 03 101747·
 2002 04 821637·
 2002 05 581712·
 2002 06 831624·
 2002 07 461626.
 2002 08 981661·
 2002 09 141589.
 2002 10 581657·
 2002 11 971614.
 2002 12 151682·
 2003 01  761631·
 2003 02  911715.
 2003 03  271614·
 2003 04  281670·
 2003 05  701645.
 2003 06  381647·
 2003 07  231549.
 2003 08  541591.
 2003 09  471565.
 2003 10  801493·
 2003 11  991520.
 2003 12  391512.
 2004 01 811548·
 2004 02 251699.
 2004 03 921626·
 2004 04 521616·
 2004 05 741588·
 2004 06 41513.
 2004 07 651526·
 2004 08 861567·
 2004 09 501563·
 2004 10 741421·
 2004 11 71483·
 2004 12 611524.
 2005 01  601641.
 2005 02  151726.
 2005 03  291712·
 2005 04  211776·
 2005 05  791598·
 2005 06  361596.
 2005 07  711683·
 2005 08  361542.
 2005 09  81577·
 2005 10  671603·
 2005 11  941542.
 2005 12  981537·
 2006 01 731573·
 2006 02 661595·
 2006 03 861707.
 2006 04 281593·
 2006 05 221577·
 2006 06 131649.
 2006 07 621555.
 2006 08 701616.
 2006 09 331553.
 2006 10 161462·
 2006 11 581375·
 2006 12 921423.
 2007 01  41483.
 2007 02  61495.
 2007 03  371551.
 2007 04  891573.
 2007 05  631601·
 2007 06  401587·
 2007 07  871620.
 2007 08  801665·
 2007 09  581595·
 2007 10  991590·
 2007 11  211554·
 2007 12  91588·
 2008 01 661580·
 2008 02 911543·
 2008 03 781575.
 2008 04 451529·
 2008 05 871561.
 2008 06 461644·
 2008 07 191472.
 2008 08 831560·
 2008 09 461478·
 2008 10 211448·
 2008 11 331433·
 2008 12 421351·
 2009 01  931261.
 2009 02  981391.
 2009 03  331304.
 2009 04  651274·
 2009 05  51296·
 2009 06  841244.
 2009 07  561251·
 2009 08  211253.
 2009 09  801296.
 2009 10  101193·
 2009 11  661183.
 2009 12  61123.
 2010 01 461137·
 2010 02 341170·
 2010 03 501175·
 2010 04 381254.
 2010 05 521264.
 2010 06 351268·
 2010 07 211256.
 2010 08 611243·
 2010 09 731325.
 2010 10 221419.
 2010 11 181373.
 2010 12 451328.
 2011 01  111140·
 2011 02  261133.
 2011 03  21147·
 2011 04  831212.
 2011 05  891237·
 2011 06  31260·
 2011 07  631208.
 2011 08  941289·
 2011 09  601302.
 2011 10  351352·
 2011 11  121332.
 2011 12  241326.
 2012 01 971258.
 2012 02 291249·
 2012 03 881224.
 2012 04 401191·
 2012 05 21244·
 2012 06 171281.
 2012 07 531358.
 2012 08 381368·
 2012 09 01252.
 2012 10 541329·
 2012 11 961344·
 2012 12 361293.
 2013 01  411406.
 2013 02  231399·
 2013 03  301468·
 2013 04  781370.
 2013 05  11315·
 2013 06  301330.
 2013 07  911453·
 2013 08  331486·
 2013 09  801547.
 2013 10  81454·
 2013 11  441411.
 2013 12  971399·
 2014 01 41345·
 2014 02 121317.
 2014 03 761356.
 2014 04 871354·
 2014 05 221462·
 2014 06 241579·
 2014 07 991444.
 2014 08 481484·
 2014 09 111503·
 2014 10 511599·
 2014 11 531607·
 2014 12 491508·
 2015 01  701456·
 2015 02  251404.
 2015 03  991497.
 2015 04  841478.
 2015 05  251434·
 2015 06  11533·
 2015 07  261579.
 2015 08  721580.
 2015 09  271578·
 2015 10  631497·
 2015 11  461458·
 2015 12  591441·
 2016 01 501514·
 2016 02 161437·
 2016 03 981554.
 2016 04 111600.
 2016 05 961599.
 2016 06 921645·
 2016 07 441655·
 2016 08 251508·
 2016 09 891542·
 2016 10 481435.
 2016 11 721404.
 2016 12 181511.
 2017 01  801446.
 2017 02  651630.


 2017 03  951589.
 2017 04  361722·
 2017 05  451771·
 2017 06  501709.
 2017 07  511571·
 2017 08  461427·
 2017 09  831424.
 2017 10  351462·
 2017 11  31496·
 2017 12  441424.
 2018 01 201511·
 2018 02 761611·
 2018 03 391642·
 2018 04 491648.
 2018 05 71668.
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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: Employed: Manufacturing, Black or African American: 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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