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 Series Title: Employed: 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 631583.
 2000 02 971496.
 2000 03 301521.
 2000 04 711426·
 2000 05 521388·
 2000 06 91379.
 2000 07 791419.
 2000 08 291387.
 2000 09 81410.
 2000 10 191466·
 2000 11 291479·
 2000 12 871522.
 2001 01  801532.
 2001 02  101444.
 2001 03  931519.
 2001 04  871569·
 2001 05  451501·
 2001 06  871662.
 2001 07  81656·
 2001 08  991534·
 2001 09  21505·
 2001 10  831644·
 2001 11  381670·
 2001 12  171656.
 2002 01 761547·
 2002 02 531493·
 2002 03 701365·
 2002 04 611394.
 2002 05 201474·
 2002 06 811491·
 2002 07 181426.
 2002 08 741541·
 2002 09 61524.
 2002 10 711521.
 2002 11 191585·
 2002 12 251527.
 2003 01  371374.
 2003 02  571469.
 2003 03  361515.
 2003 04  91546·
 2003 05  381559·
 2003 06  941585.
 2003 07  581593.
 2003 08  451589·
 2003 09  581601.
 2003 10  641675.
 2003 11  961753·
 2003 12  761677·
 2004 01 741631.
 2004 02 751559·
 2004 03 891611·
 2004 04 731569.
 2004 05 851638.
 2004 06 561586.
 2004 07 991631·
 2004 08 291659.
 2004 09 171713.
 2004 10 661638.
 2004 11 161652·
 2004 12 631593.
 2005 01  201509.
 2005 02  861608·
 2005 03  501653·
 2005 04  201689·
 2005 05  711732.
 2005 06  221708·
 2005 07  421669·
 2005 08  691528·
 2005 09  681661·
 2005 10  71648.
 2005 11  521632·
 2005 12  31711·
 2006 01 391549·
 2006 02 951589·
 2006 03 701572.
 2006 04 421711.
 2006 05 321811.
 2006 06 711836·
 2006 07 71751·
 2006 08 301735·
 2006 09 231682.
 2006 10 391646.
 2006 11 31699·
 2006 12 371773·
 2007 01  131652.
 2007 02  321524·
 2007 03  191585·
 2007 04  551670·
 2007 05  281685.
 2007 06  61830·
 2007 07  441794·
 2007 08  61726.
 2007 09  171739.
 2007 10  431787·
 2007 11  911901.
 2007 12  311852·
 2008 01 561809·
 2008 02 501770.
 2008 03 971593·
 2008 04 21671.
 2008 05 451607.
 2008 06 581692·
 2008 07 261638.
 2008 08 111701·
 2008 09 101679.
 2008 10 241772.
 2008 11 651818.
 2008 12 791895·
 2009 01  11664.
 2009 02  291556·
 2009 03  271618.
 2009 04  481546.
 2009 05  941533.
 2009 06  811601·
 2009 07  501659.
 2009 08  891672·
 2009 09  881705.
 2009 10  101670·
 2009 11  971743·
 2009 12  961636·
 2010 01 101516·
 2010 02 731569·
 2010 03 561615.
 2010 04 871646.
 2010 05 91686.
 2010 06 531779·
 2010 07 391672·
 2010 08 71659·
 2010 09 621728.
 2010 10 551770.
 2010 11 861835·
 2010 12 241758·
 2011 01  671708.
 2011 02  121719·
 2011 03  581626·
 2011 04  341629·
 2011 05  521582.
 2011 06  791729.
 2011 07  431734·
 2011 08  551688.
 2011 09  661769.
 2011 10  401754·
 2011 11  541810.
 2011 12  311876·
 2012 01 851816·
 2012 02 991824·
 2012 03 301757·
 2012 04 321852.
 2012 05 81848.
 2012 06 891866.
 2012 07 331856.
 2012 08 511863.
 2012 09 621855·
 2012 10 671841.
 2012 11 511854.
 2012 12 81815.
 2013 01  971939·
 2013 02  141798.
 2013 03  961802.
 2013 04  471871.
 2013 05  881721.
 2013 06  371714·
 2013 07  81800.
 2013 08  371764.
 2013 09  361777.
 2013 10  671830·
 2013 11  481856·
 2013 12  711912.
 2014 01 651906·
 2014 02 621939·
 2014 03 41921.
 2014 04 712032·
 2014 05 271966.
 2014 06 21881.
 2014 07 901983·
 2014 08 781787·
 2014 09 961887·
 2014 10 941970.
 2014 11 432080·
 2014 12 642110.
 2015 01  742003·
 2015 02  711963·
 2015 03  272020.
 2015 04  212035·
 2015 05  852029·
 2015 06  881913.
 2015 07  292056.
 2015 08  682038·
 2015 09  811979·
 2015 10  272052·
 2015 11  612071·
 2015 12  512006·
 2016 01 352095·
 2016 02 962068·
 2016 03 631898·
 2016 04 381897·
 2016 05 491845.
 2016 06 251898·
 2016 07 961836.
 2016 08 232037.
 2016 09 491968·
 2016 10 712099·
 2016 11 492099.
 2016 12 262067.
 2017 01  832038·
 2017 02  161997.
 2017 03  342081·
 2017 04  902109·
 2017 05  291960.
 2017 06  671990.
 2017 07  901984·
 2017 08  851993·


 2017 09  862080.
 2017 10  542121·
 2017 11  792098·
 2017 12  52109.
 2018 01 792018·
 2018 02 361986·
 2018 03 901928·
 2018 04 681992.
 2018 05 602064.
 2018 06 932184·
 2018 07 342222.
 2018 08 202120·
 2018 09 32160.
 2018 10 322193.
 2018 11 512068·
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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: 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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