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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 341882.
 2000 02 481807.
 2000 03 221860·
 2000 04 711739·
 2000 05 351689.
 2000 06 541700.
 2000 07 731717.
 2000 08 641699.
 2000 09 831719.
 2000 10 391751·
 2000 11 61791·
 2000 12 371813.
 2001 01  281775.
 2001 02  861645.
 2001 03  331737·
 2001 04  351836·
 2001 05  481768.
 2001 06  11951·
 2001 07  941955.
 2001 08  251866.
 2001 09  411797.
 2001 10  161977.
 2001 11  511982.
 2001 12  31967.
 2002 01 331828.
 2002 02 861778·
 2002 03 911650.
 2002 04 871653·
 2002 05 751755.
 2002 06 951798.
 2002 07 281762·
 2002 08 221858·
 2002 09 411843·
 2002 10 481806.
 2002 11 991858.
 2002 12 761825.
 2003 01  331644.
 2003 02  781722·
 2003 03  681784·
 2003 04  451829.
 2003 05  761851·
 2003 06  401891.
 2003 07  221935.
 2003 08  461939.
 2003 09  201949.
 2003 10  171991.
 2003 11  752055·
 2003 12  251986.
 2004 01 401963·
 2004 02 141881.
 2004 03 631909.
 2004 04 501934·
 2004 05 371979.
 2004 06 651978.
 2004 07 502025·
 2004 08 151994.
 2004 09 372042·
 2004 10 251961.
 2004 11 251989.
 2004 12 401923·
 2005 01  891827.
 2005 02  761930.
 2005 03  991985·
 2005 04  691962·
 2005 05  692032·
 2005 06  251980.
 2005 07  101974.
 2005 08  711899.
 2005 09  772017.
 2005 10  31999.
 2005 11  221914·
 2005 12  391969·
 2006 01 401815·
 2006 02 671883·
 2006 03 231876.
 2006 04 942009·
 2006 05 72086·
 2006 06 992130·
 2006 07 242042·
 2006 08 792018·
 2006 09 531958·
 2006 10 51958·
 2006 11 651992.
 2006 12 642140·
 2007 01  792018.
 2007 02  161866.
 2007 03  81901·
 2007 04  422022·
 2007 05  112095.
 2007 06  912225·
 2007 07  412185.
 2007 08  332139·
 2007 09  982086.
 2007 10  92177·
 2007 11  772183·
 2007 12  812114.
 2008 01 172086.
 2008 02 792072.
 2008 03 541961.
 2008 04 552034·
 2008 05 672002·
 2008 06 302059·
 2008 07 341973·
 2008 08 482043.
 2008 09 751975.
 2008 10 212121.
 2008 11 62139.
 2008 12 822212·
 2009 01  891990.
 2009 02  331855·
 2009 03  821896.
 2009 04  981802.
 2009 05  871834.
 2009 06  721848.
 2009 07  11953·
 2009 08  681961·
 2009 09  671961·
 2009 10  701897·
 2009 11  242046.
 2009 12  831886.
 2010 01 561783·
 2010 02 831827.
 2010 03 411891·
 2010 04 651913.
 2010 05 41960·
 2010 06 942053·
 2010 07 641990·
 2010 08 572001·
 2010 09 862007.
 2010 10 92039.
 2010 11 312119.
 2010 12 282057.
 2011 01  32004.
 2011 02  602050·
 2011 03  41938·
 2011 04  721952.
 2011 05  801942.
 2011 06  22025.
 2011 07  722009·
 2011 08  91936·
 2011 09  682006.
 2011 10  192006·
 2011 11  482061.
 2011 12  822126.
 2012 01 412096·
 2012 02 162086.
 2012 03 691987.
 2012 04 612098·
 2012 05 12079·
 2012 06 252113·
 2012 07 992127·
 2012 08 392129.
 2012 09 722165·
 2012 10 32100·
 2012 11 242105·
 2012 12 372094.
 2013 01  52201·
 2013 02  322084.
 2013 03  592119·
 2013 04  982163.
 2013 05  762008.
 2013 06  172033.
 2013 07  412143·
 2013 08  912068·
 2013 09  842071.
 2013 10  912115·
 2013 11  332146.
 2013 12  102182.
 2014 01 562209·
 2014 02 112252.
 2014 03 222251·
 2014 04 752396·
 2014 05 422293·
 2014 06 572235·
 2014 07 222317·
 2014 08 302096.
 2014 09 162155.
 2014 10 372254.
 2014 11 712372.
 2014 12 432396.
 2015 01  802339·
 2015 02  832263·
 2015 03  312331.
 2015 04  102352.
 2015 05  582321.
 2015 06  502184.
 2015 07  912311·
 2015 08  482280·
 2015 09  22268·
 2015 10  212375.
 2015 11  622397·
 2015 12  32328.
 2016 01 862404·
 2016 02 22362.
 2016 03 842211.
 2016 04 432213·
 2016 05 122091·
 2016 06 242194·
 2016 07 192132.
 2016 08 632353·
 2016 09 32304·
 2016 10 462423.
 2016 11 552413.
 2016 12 812378.
 2017 01  112405.
 2017 02  472319·
 2017 03  52449·
 2017 04  422433·
 2017 05  122287·
 2017 06  352333.
 2017 07  62261.
 2017 08  152361.
 2017 09  52411·
 2017 10  422427·
 2017 11  222472.


 2017 12  942409·
 2018 01 162273.
 2018 02 232303.
 2018 03 402291.
 2018 04 992346·
 2018 05 952391·
 2018 06 622531·
 2018 07 742562·
 2018 08 732460·
 2018 09 172498·
 2018 10 632542·
 2018 11 612398.
 2018 12 852353.
 2019 01  842210·
 2019 02  602101.
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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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