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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 651882.
 2000 02 381807.
 2000 03 821860·
 2000 04 871739.
 2000 05 671689.
 2000 06 391700.
 2000 07 211717·
 2000 08 621699.
 2000 09 911719.
 2000 10 941751·
 2000 11 181791.
 2000 12 931813.
 2001 01  881775·
 2001 02  861645·
 2001 03  841737.
 2001 04  221836.
 2001 05  331768·
 2001 06  211951·
 2001 07  591955.
 2001 08  201866.
 2001 09  281797.
 2001 10  301977.
 2001 11  41982.
 2001 12  801967.
 2002 01 961828·
 2002 02 711778·
 2002 03 81650·
 2002 04 221653.
 2002 05 891755.
 2002 06 241798·
 2002 07 841762·
 2002 08 891858.
 2002 09 821843·
 2002 10 971806·
 2002 11 691858.
 2002 12 511825.
 2003 01  751644.
 2003 02  221722.
 2003 03  261784.
 2003 04  21829·
 2003 05  941851.
 2003 06  541891·
 2003 07  441935.
 2003 08  611939·
 2003 09  891949·
 2003 10  761991·
 2003 11  352055.
 2003 12  721986.
 2004 01 351963.
 2004 02 931881.
 2004 03 371909.
 2004 04 41934.
 2004 05 331979·
 2004 06 391978·
 2004 07 132025.
 2004 08 521994·
 2004 09 92042.
 2004 10 691961.
 2004 11 511989·
 2004 12 351923.
 2005 01  121827·
 2005 02  651930.
 2005 03  631985·
 2005 04  961962·
 2005 05  192032·
 2005 06  341980.
 2005 07  891974.
 2005 08  51899.
 2005 09  282017.
 2005 10  71999·
 2005 11  891914.
 2005 12  561969·
 2006 01 671815·
 2006 02 411883·
 2006 03 531876·
 2006 04 682009·
 2006 05 852086·
 2006 06 172130·
 2006 07 942042·
 2006 08 862018.
 2006 09 571958.
 2006 10 431958·
 2006 11 481992.
 2006 12 782140·
 2007 01  852018.
 2007 02  501866.
 2007 03  801901.
 2007 04  382022·
 2007 05  932095·
 2007 06  942225.
 2007 07  772185.
 2007 08  872139.
 2007 09  312086.
 2007 10  572177.
 2007 11  512183·
 2007 12  672114·
 2008 01 762086.
 2008 02 472072.
 2008 03 421961·
 2008 04 482034.
 2008 05 282002·
 2008 06 932059.
 2008 07 111973·
 2008 08 252043·
 2008 09 111975·
 2008 10 542121.
 2008 11 462139.
 2008 12 152212·
 2009 01  771990·
 2009 02  111855.
 2009 03  611896·
 2009 04  641802.
 2009 05  01834·
 2009 06  701848·
 2009 07  931953·
 2009 08  411961·
 2009 09  821961.
 2009 10  631897·
 2009 11  62046·
 2009 12  391886·
 2010 01 471783.
 2010 02 461827.
 2010 03 861891·
 2010 04 781913.
 2010 05 461960·
 2010 06 22053.
 2010 07 481990·
 2010 08 32001·
 2010 09 552007.
 2010 10 372039·
 2010 11 282119.
 2010 12 812057.
 2011 01  732004.
 2011 02  822050.
 2011 03  901938·
 2011 04  81952.
 2011 05  261942.
 2011 06  952025.
 2011 07  222009.
 2011 08  21936·
 2011 09  652006.
 2011 10  562006·
 2011 11  362061.
 2011 12  72126·
 2012 01 642096.
 2012 02 732086.
 2012 03 711987.
 2012 04 932098.
 2012 05 252079.
 2012 06 772113.
 2012 07 892127·
 2012 08 542129·
 2012 09 722165·
 2012 10 252100·
 2012 11 792105.
 2012 12 102094·
 2013 01  572201.
 2013 02  982084·
 2013 03  522119·
 2013 04  32163.
 2013 05  542008.
 2013 06  42033·
 2013 07  482143·
 2013 08  32068.
 2013 09  642071.
 2013 10  732115·
 2013 11  282146·
 2013 12  52182·
 2014 01 122209·
 2014 02 622252·
 2014 03 812251.
 2014 04 272396.
 2014 05 482293·
 2014 06 542235.
 2014 07 202317.
 2014 08 142096·
 2014 09 492155·
 2014 10 542254·
 2014 11 822372·
 2014 12 352396·
 2015 01  142339.
 2015 02  942263·
 2015 03  312331.
 2015 04  842352·
 2015 05  682321·
 2015 06  312184·
 2015 07  542311.
 2015 08  802280·
 2015 09  632268·
 2015 10  472375.
 2015 11  652397·
 2015 12  672328·
 2016 01 742404·
 2016 02 482362.
 2016 03 02211.
 2016 04 152213·
 2016 05 02091.
 2016 06 652194·
 2016 07 242132·
 2016 08 172353·
 2016 09 682304.
 2016 10 572423.
 2016 11 232413.
 2016 12 932378.
 2017 01  272405.
 2017 02  32319.
 2017 03  122449·
 2017 04  862433.


 2017 05  542287.
 2017 06  112333.
 2017 07  272261·
 2017 08  672361.
 2017 09  482411.
 2017 10  132427·
 2017 11  312472.
 2017 12  282409.
 2018 01 352273·
 2018 02 642303.
 2018 03 132291·
 2018 04 902346.
 2018 05 652391.
 2018 06 472531·
 2018 07 862562·
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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

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