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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 131882.
 2000 02 571807.
 2000 03 701860·
 2000 04 211739·
 2000 05 81689.
 2000 06 281700.
 2000 07 801717·
 2000 08 951699.
 2000 09 821719.
 2000 10 101751.
 2000 11 51791.
 2000 12 801813.
 2001 01  851775.
 2001 02  841645.
 2001 03  551737.
 2001 04  201836.
 2001 05  931768.
 2001 06  571951.
 2001 07  701955·
 2001 08  851866.
 2001 09  51797·
 2001 10  621977·
 2001 11  121982.
 2001 12  681967.
 2002 01 481828.
 2002 02 541778.
 2002 03 691650·
 2002 04 891653.
 2002 05 721755·
 2002 06 151798·
 2002 07 541762·
 2002 08 921858·
 2002 09 521843·
 2002 10 521806.
 2002 11 41858·
 2002 12 461825·
 2003 01  891644·
 2003 02  961722·
 2003 03  831784·
 2003 04  451829·
 2003 05  81851·
 2003 06  51891·
 2003 07  791935.
 2003 08  81939·
 2003 09  581949·
 2003 10  591991·
 2003 11  42055.
 2003 12  801986·
 2004 01 171963.
 2004 02 651881·
 2004 03 961909.
 2004 04 291934·
 2004 05 841979·
 2004 06 561978·
 2004 07 192025·
 2004 08 501994.
 2004 09 842042·
 2004 10 871961.
 2004 11 591989.
 2004 12 621923·
 2005 01  681827.
 2005 02  411930·
 2005 03  311985·
 2005 04  91962·
 2005 05  122032.
 2005 06  231980·
 2005 07  721974.
 2005 08  601899·
 2005 09  152017.
 2005 10  661999·
 2005 11  441914·
 2005 12  91969.
 2006 01 41815.
 2006 02 261883·
 2006 03 361876·
 2006 04 762009·
 2006 05 272086·
 2006 06 862130.
 2006 07 602042·
 2006 08 42018·
 2006 09 621958.
 2006 10 501958.
 2006 11 551992·
 2006 12 632140·
 2007 01  82018·
 2007 02  521866.
 2007 03  841901.
 2007 04  472022·
 2007 05  912095.
 2007 06  472225.
 2007 07  332185.
 2007 08  742139.
 2007 09  602086.
 2007 10  182177.
 2007 11  172183·
 2007 12  902114.
 2008 01 922086·
 2008 02 712072·
 2008 03 721961·
 2008 04 632034.
 2008 05 872002·
 2008 06 382059·
 2008 07 631973.
 2008 08 882043·
 2008 09 701975·
 2008 10 752121.
 2008 11 762139.
 2008 12 832212.
 2009 01  921990.
 2009 02  641855·
 2009 03  251896·
 2009 04  931802·
 2009 05  281834.
 2009 06  121848·
 2009 07  481953·
 2009 08  861961.
 2009 09  781961·
 2009 10  501897·
 2009 11  72046·
 2009 12  581886·
 2010 01 681783.
 2010 02 351827.
 2010 03 901891.
 2010 04 261913.
 2010 05 481960·
 2010 06 482053·
 2010 07 111990·
 2010 08 362001·
 2010 09 932007.
 2010 10 972039.
 2010 11 62119.
 2010 12 562057.
 2011 01  52004·
 2011 02  122050.
 2011 03  401938.
 2011 04  811952·
 2011 05  81942.
 2011 06  512025·
 2011 07  02009.
 2011 08  291936.
 2011 09  522006·
 2011 10  952006·
 2011 11  982061.
 2011 12  462126.
 2012 01 142096·
 2012 02 512086.
 2012 03 731987·
 2012 04 992098·
 2012 05 932079·
 2012 06 502113·
 2012 07 882127·
 2012 08 832129.
 2012 09 162165.
 2012 10 492100·
 2012 11 302105.
 2012 12 172094.
 2013 01  312201.
 2013 02  302084.
 2013 03  132119·
 2013 04  462163.
 2013 05  152008.
 2013 06  992033·
 2013 07  732143.
 2013 08  392068·
 2013 09  682071·
 2013 10  882115.
 2013 11  752146·
 2013 12  892182.
 2014 01 162209·
 2014 02 542252.
 2014 03 62251.
 2014 04 152396·
 2014 05 82293·
 2014 06 772235·
 2014 07 792317.
 2014 08 632096.
 2014 09 212155·
 2014 10 662254.
 2014 11 322372·
 2014 12 12396.
 2015 01  552339·
 2015 02  522263.
 2015 03  272331.
 2015 04  232352·
 2015 05  342321.
 2015 06  902184·
 2015 07  532311·
 2015 08  482280.
 2015 09  102268.
 2015 10  632375.
 2015 11  232397·
 2015 12  212328.
 2016 01 582404·
 2016 02 782362.
 2016 03 742211·
 2016 04 102213·
 2016 05 772091·
 2016 06 662194·
 2016 07 692132·
 2016 08 112353·
 2016 09 952304·
 2016 10 832423·
 2016 11 962413·
 2016 12 412378·
 2017 01  602405.
 2017 02  122319·
 2017 03  692449·
 2017 04  452433·
 2017 05  492287.
 2017 06  592333.


 2017 07  242261.
 2017 08  922361.
 2017 09  622411.
 2017 10  552427·
 2017 11  252472.
 2017 12  772409.
 2018 01 232273.
 2018 02 582303.
 2018 03 602291·
 2018 04 182346·
 2018 05 852391·
 2018 06 492531.
 2018 07 412562·
 2018 08 602460.
 2018 09 212498.
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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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