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 Series Title: Employed: Wholesale and retail trade, 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 451882.
 2000 02 91807·
 2000 03 991860·
 2000 04 751739·
 2000 05 201689.
 2000 06 181700·
 2000 07 581717.
 2000 08 561699·
 2000 09 101719.
 2000 10 761751.
 2000 11 681791·
 2000 12 861813.
 2001 01  681775.
 2001 02  641645·
 2001 03  421737.
 2001 04  91836·
 2001 05  671768·
 2001 06  891951.
 2001 07  171955·
 2001 08  941866.
 2001 09  101797·
 2001 10  821977·
 2001 11  571982.
 2001 12  351967.
 2002 01 201828·
 2002 02 11778.
 2002 03 501650·
 2002 04 511653.
 2002 05 481755·
 2002 06 261798.
 2002 07 81762·
 2002 08 861858·
 2002 09 701843.
 2002 10 641806.
 2002 11 691858.
 2002 12 101825.
 2003 01  861644·
 2003 02  471722·
 2003 03  961784.
 2003 04  171829.
 2003 05  221851·
 2003 06  321891.
 2003 07  781935.
 2003 08  251939·
 2003 09  271949·
 2003 10  01991.
 2003 11  262055.
 2003 12  801986·
 2004 01 781963·
 2004 02 581881.
 2004 03 791909·
 2004 04 491934.
 2004 05 741979.
 2004 06 371978·
 2004 07 02025.
 2004 08 281994·
 2004 09 412042.
 2004 10 951961.
 2004 11 761989·
 2004 12 351923.
 2005 01  301827.
 2005 02  121930.
 2005 03  211985.
 2005 04  141962.
 2005 05  162032.
 2005 06  961980·
 2005 07  731974.
 2005 08  351899·
 2005 09  982017.
 2005 10  781999·
 2005 11  931914.
 2005 12  921969·
 2006 01 41815.
 2006 02 151883·
 2006 03 711876·
 2006 04 42009.
 2006 05 822086·
 2006 06 882130.
 2006 07 192042·
 2006 08 152018·
 2006 09 91958·
 2006 10 41958·
 2006 11 741992·
 2006 12 942140·
 2007 01  842018.
 2007 02  941866·
 2007 03  11901.
 2007 04  352022.
 2007 05  342095.
 2007 06  162225·
 2007 07  862185.
 2007 08  582139.
 2007 09  82086.
 2007 10  512177.
 2007 11  432183·
 2007 12  62114.
 2008 01 822086.
 2008 02 52072·
 2008 03 91961.
 2008 04 502034.
 2008 05 562002·
 2008 06 112059.
 2008 07 481973.
 2008 08 822043·
 2008 09 561975·
 2008 10 242121.
 2008 11 472139.
 2008 12 222212·
 2009 01  321990.
 2009 02  271855·
 2009 03  191896.
 2009 04  141802·
 2009 05  601834·
 2009 06  261848.
 2009 07  31953.
 2009 08  281961·
 2009 09  401961.
 2009 10  531897.
 2009 11  602046.
 2009 12  571886.
 2010 01 971783·
 2010 02 641827.
 2010 03 791891·
 2010 04 211913.
 2010 05 811960·
 2010 06 422053·
 2010 07 731990.
 2010 08 632001.
 2010 09 692007·
 2010 10 912039·
 2010 11 792119.
 2010 12 532057·
 2011 01  602004·
 2011 02  462050.
 2011 03  611938·
 2011 04  861952.
 2011 05  801942·
 2011 06  612025.
 2011 07  72009.
 2011 08  791936.
 2011 09  792006·
 2011 10  192006·
 2011 11  282061.
 2011 12  782126.
 2012 01 332096.
 2012 02 262086.
 2012 03 641987·
 2012 04 512098.
 2012 05 412079.
 2012 06 142113·
 2012 07 772127·
 2012 08 932129.
 2012 09 302165·
 2012 10 392100·
 2012 11 552105.
 2012 12 232094.
 2013 01  502201.
 2013 02  842084.
 2013 03  112119·
 2013 04  842163·
 2013 05  762008·
 2013 06  552033.
 2013 07  822143·
 2013 08  472068.
 2013 09  92071.
 2013 10  832115.
 2013 11  332146·
 2013 12  42182·
 2014 01 742209.
 2014 02 252252·
 2014 03 492251.
 2014 04 762396.
 2014 05 212293.
 2014 06 622235.
 2014 07 452317·
 2014 08 72096.
 2014 09 262155.
 2014 10 32254·
 2014 11 592372·
 2014 12 642396.
 2015 01  882339·
 2015 02  772263.
 2015 03  532331·
 2015 04  442352·
 2015 05  352321·
 2015 06  412184.
 2015 07  142311.
 2015 08  642280·
 2015 09  152268.
 2015 10  792375·
 2015 11  572397.
 2015 12  702328.
 2016 01 52404.
 2016 02 952362.
 2016 03 192211·
 2016 04 292213·
 2016 05 42091·
 2016 06 212194·
 2016 07 622132.
 2016 08 372353·
 2016 09 392304.
 2016 10 152423·
 2016 11 752413·
 2016 12 132378·
 2017 01  592405·
 2017 02  582319.
 2017 03  712449·
 2017 04  992433.
 2017 05  392287.
 2017 06  562333·
 2017 07  872261·
 2017 08  672361.


 2017 09  812411·
 2017 10  412427.
 2017 11  862472.
 2017 12  92409·
 2018 01 102273.
 2018 02 712303·
 2018 03 572291·
 2018 04 462346·
 2018 05 762391·
 2018 06 252531·
 2018 07 122562·
 2018 08 202460.
 2018 09 542498·
 2018 10 122542·
 2018 11 882398.
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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: Wholesale and retail trade, 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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