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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 141583.
 2000 02 621496.
 2000 03 671521.
 2000 04 251426.
 2000 05 581388·
 2000 06 881379·
 2000 07 391419.
 2000 08 671387.
 2000 09 61410·
 2000 10 491466.
 2000 11 501479.
 2000 12 441522·
 2001 01  81532·
 2001 02  291444·
 2001 03  121519·
 2001 04  21569·
 2001 05  391501.
 2001 06  321662·
 2001 07  631656.
 2001 08  91534·
 2001 09  11505·
 2001 10  921644·
 2001 11  661670·
 2001 12  601656·
 2002 01 171547·
 2002 02 641493·
 2002 03 91365·
 2002 04 741394·
 2002 05 401474·
 2002 06 301491.
 2002 07 51426.
 2002 08 941541.
 2002 09 441524.
 2002 10 971521.
 2002 11 921585.
 2002 12 901527·
 2003 01  291374.
 2003 02  961469·
 2003 03  321515.
 2003 04  571546.
 2003 05  221559.
 2003 06  851585·
 2003 07  141593.
 2003 08  131589·
 2003 09  721601.
 2003 10  441675·
 2003 11  511753·
 2003 12  21677·
 2004 01 541631·
 2004 02 811559.
 2004 03 791611·
 2004 04 941569·
 2004 05 701638·
 2004 06 261586.
 2004 07 631631·
 2004 08 831659.
 2004 09 441713·
 2004 10 381638.
 2004 11 901652.
 2004 12 871593.
 2005 01  271509.
 2005 02  961608·
 2005 03  731653·
 2005 04  521689·
 2005 05  941732.
 2005 06  91708.
 2005 07  501669·
 2005 08  451528.
 2005 09  461661·
 2005 10  71648.
 2005 11  841632.
 2005 12  621711.
 2006 01 81549·
 2006 02 471589·
 2006 03 621572·
 2006 04 211711.
 2006 05 311811.
 2006 06 121836·
 2006 07 981751.
 2006 08 671735.
 2006 09 901682.
 2006 10 61646.
 2006 11 291699.
 2006 12 681773·
 2007 01  841652.
 2007 02  631524·
 2007 03  191585·
 2007 04  201670.
 2007 05  411685.
 2007 06  391830·
 2007 07  551794.
 2007 08  401726.
 2007 09  91739.
 2007 10  151787·
 2007 11  501901·
 2007 12  741852.
 2008 01 651809.
 2008 02 981770·
 2008 03 411593.
 2008 04 891671.
 2008 05 91607.
 2008 06 201692.
 2008 07 931638·
 2008 08 811701.
 2008 09 661679.
 2008 10 371772.
 2008 11 931818.
 2008 12 691895.
 2009 01  861664·
 2009 02  311556·
 2009 03  531618.
 2009 04  961546.
 2009 05  461533·
 2009 06  91601·
 2009 07  121659.
 2009 08  321672·
 2009 09  451705.
 2009 10  21670.
 2009 11  321743.
 2009 12  711636.
 2010 01 91516.
 2010 02 671569·
 2010 03 21615.
 2010 04 331646·
 2010 05 871686·
 2010 06 851779·
 2010 07 341672·
 2010 08 601659.
 2010 09 571728·
 2010 10 641770·
 2010 11 661835.
 2010 12 231758·
 2011 01  171708.
 2011 02  341719.
 2011 03  611626.
 2011 04  151629·
 2011 05  941582·
 2011 06  531729.
 2011 07  71734.
 2011 08  561688·
 2011 09  371769.
 2011 10  21754.
 2011 11  171810.
 2011 12  901876·
 2012 01 231816.
 2012 02 881824·
 2012 03 281757.
 2012 04 861852·
 2012 05 511848.
 2012 06 421866·
 2012 07 41856.
 2012 08 371863·
 2012 09 471855.
 2012 10 211841.
 2012 11 331854.
 2012 12 641815·
 2013 01  611939.
 2013 02  71798·
 2013 03  271802·
 2013 04  111871.
 2013 05  691721·
 2013 06  61714·
 2013 07  241800.
 2013 08  461764·
 2013 09  711777.
 2013 10  511830·
 2013 11  871856·
 2013 12  631912·
 2014 01 931906.
 2014 02 961939.
 2014 03 41921.
 2014 04 832032·
 2014 05 841966.
 2014 06 251881·
 2014 07 891983·
 2014 08 481787.
 2014 09 211887.
 2014 10 441970·
 2014 11 782080·
 2014 12 282110·
 2015 01  32003·
 2015 02  851963·
 2015 03  342020·
 2015 04  182035·
 2015 05  562029.
 2015 06  31913.
 2015 07  472056·
 2015 08  362038·
 2015 09  311979.
 2015 10  812052.
 2015 11  282071·
 2015 12  262006·
 2016 01 22095.
 2016 02 262068·
 2016 03 151898.
 2016 04 581897.
 2016 05 711845.
 2016 06 691898.
 2016 07 711836·
 2016 08 262037·
 2016 09 621968.
 2016 10 672099.
 2016 11 852099·
 2016 12 492067·
 2017 01  262038·
 2017 02  11997·
 2017 03  692081·
 2017 04  712109·


 2017 05  391960.
 2017 06  771990·
 2017 07  601984.
 2017 08  611993·
 2017 09  02080.
 2017 10  292121·
 2017 11  232098·
 2017 12  132109·
 2018 01 362018.
 2018 02 121986.
 2018 03 441928·
 2018 04 471992·
 2018 05 962064·
 2018 06 82184·
 2018 07 372222·
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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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