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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 462105.
 2000 02 312107.
 2000 03 511961.
 2000 04 851921.
 2000 05 351859.
 2000 06 32044·
 2000 07 972003·
 2000 08 511978·
 2000 09 831948·
 2000 10 671946·
 2000 11 371880·
 2000 12 101918.
 2001 01  431935.
 2001 02  61888·
 2001 03  841834.
 2001 04  51799·
 2001 05  881810·
 2001 06  251764·
 2001 07  771777.
 2001 08  51807·
 2001 09  191695.
 2001 10  561682.
 2001 11  781633·
 2001 12  61692.
 2002 01 631725.
 2002 02 561716·
 2002 03 761747.
 2002 04 251637·
 2002 05 681712.
 2002 06 61624.
 2002 07 831626.
 2002 08 81661.
 2002 09 101589·
 2002 10 131657·
 2002 11 361614.
 2002 12 231682·
 2003 01  911631.
 2003 02  91715.
 2003 03  01614·
 2003 04  641670·
 2003 05  351645·
 2003 06  511647·
 2003 07  611549·
 2003 08  511591·
 2003 09  921565·
 2003 10  191493·
 2003 11  331520·
 2003 12  281512·
 2004 01 381548·
 2004 02 211699.
 2004 03 541626·
 2004 04 631616·
 2004 05 741588.
 2004 06 881513·
 2004 07 861526.
 2004 08 511567·
 2004 09 241563·
 2004 10 771421·
 2004 11 171483·
 2004 12 121524·
 2005 01  401641.
 2005 02  701726·
 2005 03  611712·
 2005 04  881776.
 2005 05  961598.
 2005 06  731596.
 2005 07  551683·
 2005 08  501542.
 2005 09  931577.
 2005 10  181603.
 2005 11  611542·
 2005 12  921537·
 2006 01 561573.
 2006 02 611595.
 2006 03 691707.
 2006 04 321593.
 2006 05 371577·
 2006 06 841649·
 2006 07 911555.
 2006 08 151616·
 2006 09 91553·
 2006 10 941462·
 2006 11 641375·
 2006 12 101423.
 2007 01  741483·
 2007 02  221495·
 2007 03  521551·
 2007 04  111573.
 2007 05  561601.
 2007 06  261587·
 2007 07  421620.
 2007 08  371665·
 2007 09  71595·
 2007 10  861590·
 2007 11  471554·
 2007 12  331588·
 2008 01 21580·
 2008 02 91543.
 2008 03 61575.
 2008 04 671529·
 2008 05 411561·
 2008 06 281644.
 2008 07 811472·
 2008 08 341560·
 2008 09 491478·
 2008 10 981448.
 2008 11 601433.
 2008 12 521351·
 2009 01  771261·
 2009 02  11391·
 2009 03  561304·
 2009 04  671274.
 2009 05  01296.
 2009 06  441244.
 2009 07  71251·
 2009 08  461253.
 2009 09  191296.
 2009 10  591193·
 2009 11  751183.
 2009 12  851123·
 2010 01 591137.
 2010 02 11170·
 2010 03 501175.
 2010 04 21254.
 2010 05 711264.
 2010 06 541268·
 2010 07 421256.
 2010 08 421243·
 2010 09 291325.
 2010 10 231419·
 2010 11 911373.
 2010 12 731328.
 2011 01  341140.
 2011 02  401133.
 2011 03  591147·
 2011 04  901212.
 2011 05  121237.
 2011 06  621260·
 2011 07  351208.
 2011 08  121289.
 2011 09  131302·
 2011 10  701352.
 2011 11  301332·
 2011 12  831326.
 2012 01 121258·
 2012 02 711249·
 2012 03 831224·
 2012 04 721191·
 2012 05 111244.
 2012 06 971281.
 2012 07 581358·
 2012 08 741368.
 2012 09 331252·
 2012 10 41329.
 2012 11 401344.
 2012 12 71293·
 2013 01  301406.
 2013 02  741399·
 2013 03  451468·
 2013 04  161370.
 2013 05  761315.
 2013 06  131330.
 2013 07  91453.
 2013 08  691486·
 2013 09  731547·
 2013 10  541454·
 2013 11  951411·
 2013 12  611399·
 2014 01 461345·
 2014 02 531317.
 2014 03 921356.
 2014 04 111354.
 2014 05 451462.
 2014 06 911579·
 2014 07 121444.
 2014 08 641484·
 2014 09 451503·
 2014 10 751599·
 2014 11 931607.
 2014 12 881508·
 2015 01  481456.
 2015 02  371404.
 2015 03  981497.
 2015 04  771478.
 2015 05  771434·
 2015 06  331533.
 2015 07  151579·
 2015 08  511580.
 2015 09  841578·
 2015 10  461497.
 2015 11  561458·
 2015 12  541441·
 2016 01 451514·
 2016 02 811437·
 2016 03 601554·
 2016 04 541600.
 2016 05 581599.
 2016 06 701645.
 2016 07 901655·
 2016 08 471508·
 2016 09 511542.
 2016 10 711435·
 2016 11 331404·
 2016 12 501511·
 2017 01  731446.
 2017 02  641630·
 2017 03  21589·
 2017 04  91722.
 2017 05  991771.


 2017 06  561709·
 2017 07  361571.
 2017 08  931427.
 2017 09  301424.
 2017 10  791462.
 2017 11  961496·
 2017 12  951424·
 2018 01 921511·
 2018 02 901611·
 2018 03 721642.
 2018 04 341648.
 2018 05 351668·
 2018 06 691611·
 2018 07 751551.
 2018 08 561662·
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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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