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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 82105.
 2000 02 72107.
 2000 03 391961·
 2000 04 941921.
 2000 05 881859·
 2000 06 362044·
 2000 07 562003·
 2000 08 981978.
 2000 09 901948.
 2000 10 191946·
 2000 11 311880·
 2000 12 571918.
 2001 01  651935.
 2001 02  391888.
 2001 03  751834.
 2001 04  141799·
 2001 05  891810·
 2001 06  21764.
 2001 07  281777·
 2001 08  401807·
 2001 09  611695.
 2001 10  391682·
 2001 11  511633.
 2001 12  291692.
 2002 01 81725.
 2002 02 81716.
 2002 03 341747.
 2002 04 981637·
 2002 05 791712·
 2002 06 901624·
 2002 07 871626·
 2002 08 941661·
 2002 09 501589.
 2002 10 911657·
 2002 11 511614.
 2002 12 841682·
 2003 01  211631.
 2003 02  431715.
 2003 03  861614·
 2003 04  631670.
 2003 05  181645.
 2003 06  41647·
 2003 07  821549·
 2003 08  501591·
 2003 09  911565.
 2003 10  541493·
 2003 11  511520·
 2003 12  891512.
 2004 01 151548.
 2004 02 991699·
 2004 03 311626·
 2004 04 491616.
 2004 05 921588·
 2004 06 731513.
 2004 07 851526.
 2004 08 251567·
 2004 09 461563·
 2004 10 311421·
 2004 11 11483.
 2004 12 361524·
 2005 01  271641.
 2005 02  551726·
 2005 03  921712.
 2005 04  251776.
 2005 05  121598.
 2005 06  521596·
 2005 07  951683.
 2005 08  631542·
 2005 09  991577.
 2005 10  531603.
 2005 11  741542.
 2005 12  421537.
 2006 01 161573·
 2006 02 151595·
 2006 03 171707·
 2006 04 821593.
 2006 05 121577·
 2006 06 201649.
 2006 07 351555·
 2006 08 281616·
 2006 09 631553.
 2006 10 741462·
 2006 11 681375.
 2006 12 481423·
 2007 01  681483·
 2007 02  91495·
 2007 03  781551·
 2007 04  371573·
 2007 05  541601·
 2007 06  811587·
 2007 07  521620.
 2007 08  131665·
 2007 09  711595.
 2007 10  731590.
 2007 11  51554.
 2007 12  221588·
 2008 01 941580.
 2008 02 901543.
 2008 03 741575·
 2008 04 311529.
 2008 05 241561·
 2008 06 651644·
 2008 07 211472.
 2008 08 351560·
 2008 09 851478.
 2008 10 541448·
 2008 11 341433.
 2008 12 541351·
 2009 01  291261·
 2009 02  391391·
 2009 03  271304·
 2009 04  311274·
 2009 05  311296.
 2009 06  261244·
 2009 07  381251·
 2009 08  361253.
 2009 09  911296.
 2009 10  471193.
 2009 11  281183·
 2009 12  631123.
 2010 01 341137.
 2010 02 581170.
 2010 03 871175.
 2010 04 301254·
 2010 05 111264.
 2010 06 421268·
 2010 07 261256·
 2010 08 821243·
 2010 09 981325.
 2010 10 51419·
 2010 11 851373.
 2010 12 891328.
 2011 01  941140·
 2011 02  791133·
 2011 03  251147.
 2011 04  431212.
 2011 05  251237.
 2011 06  201260·
 2011 07  351208·
 2011 08  651289·
 2011 09  421302·
 2011 10  91352.
 2011 11  281332·
 2011 12  991326·
 2012 01 201258·
 2012 02 541249·
 2012 03 401224·
 2012 04 141191.
 2012 05 581244.
 2012 06 861281·
 2012 07 371358·
 2012 08 31368·
 2012 09 841252.
 2012 10 621329.
 2012 11 41344·
 2012 12 861293.
 2013 01  471406.
 2013 02  641399.
 2013 03  561468·
 2013 04  71370·
 2013 05  221315.
 2013 06  971330·
 2013 07  291453·
 2013 08  361486·
 2013 09  101547.
 2013 10  951454·
 2013 11  881411.
 2013 12  661399.
 2014 01 361345·
 2014 02 121317·
 2014 03 191356.
 2014 04 161354·
 2014 05 501462.
 2014 06 321579.
 2014 07 361444·
 2014 08 311484.
 2014 09 291503·
 2014 10 601599·
 2014 11 771607·
 2014 12 801508·
 2015 01  721456·
 2015 02  281404.
 2015 03  41497·
 2015 04  571478.
 2015 05  51434.
 2015 06  931533.
 2015 07  51579·
 2015 08  821580·
 2015 09  781578·
 2015 10  371497·
 2015 11  931458·
 2015 12  971441·
 2016 01 661514.
 2016 02 661437.
 2016 03 71554·
 2016 04 731600.
 2016 05 711599.
 2016 06 121645.
 2016 07 91655.
 2016 08 31508·
 2016 09 171542·
 2016 10 321435.
 2016 11 861404·
 2016 12 71511·
 2017 01  541446.
 2017 02  61630.
 2017 03  531589.
 2017 04  281722.
 2017 05  591771.
 2017 06  421709.
 2017 07  461571.
 2017 08  371427.


 2017 09  311424·
 2017 10  721462·
 2017 11  291496·
 2017 12  271424·
 2018 01 961511.
 2018 02 511611.
 2018 03 891642·
 2018 04 171648.
 2018 05 51668·
 2018 06 631611·
 2018 07 391551.
 2018 08 511662.
 2018 09 321580.
 2018 10 121701.
 2018 11 181678·
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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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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