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 Series Title: Employment Level: Management, Business, and Financial Operations Occupations in Retail Trade Industry: NSA
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 2000 01 4759·
 2000 02 13825·
 2000 03 59853·
 2000 04 18871.
 2000 05 92901.
 2000 06 86857·
 2000 07 4912.
 2000 08 84932·
 2000 09 41916·
 2000 10 501002.
 2000 11 44983.
 2000 12 42964.
 2001 01  1949·
 2001 02  89876.
 2001 03  92842·
 2001 04  37845·
 2001 05  46888.
 2001 06  8858.
 2001 07  85893.
 2001 08  38936·
 2001 09  77829.
 2001 10  39825·
 2001 11  86866.
 2001 12  39883·
 2002 01 20895.
 2002 02 38935.
 2002 03 84842·
 2002 04 58856·
 2002 05 26855·
 2002 06 89815.
 2002 07 90847·
 2002 08 41936.
 2002 09 68897.
 2002 10 96847.
 2002 11 44805·
 2002 12 56846·
 2003 01  49840.
 2003 02  92950·
 2003 03  8881·
 2003 04  97859·
 2003 05  92961·
 2003 06  33962.
 2003 07  69961.
 2003 08  84860·
 2003 09  50850·
 2003 10  2785.
 2003 11  41752.
 2003 12  60820.
 2004 01 96854·
 2004 02 4906.
 2004 03 62938·
 2004 04 96898.
 2004 05 32998.
 2004 06 71943.
 2004 07 94926·
 2004 08 84970·
 2004 09 821021·
 2004 10 601014.
 2004 11 25989.
 2004 12 441003·
 2005 01  98919·
 2005 02  53972.
 2005 03  691004·
 2005 04  21926·
 2005 05  541000.
 2005 06  56943·
 2005 07  63970.
 2005 08  831041·
 2005 09  511043.
 2005 10  01023.
 2005 11  691070.
 2005 12  251034·
 2006 01 141011.
 2006 02 431028·
 2006 03 771005.
 2006 04 65996.
 2006 05 94951.
 2006 06 67946.
 2006 07 98989·
 2006 08 481001·
 2006 09 67985·
 2006 10 77971·
 2006 11 72937.
 2006 12 43920.
 2007 01  31912·
 2007 02  5865.
 2007 03  59909.
 2007 04  44970.
 2007 05  14952·
 2007 06  9947.
 2007 07  50889·
 2007 08  70900·
 2007 09  65896·
 2007 10  69913.
 2007 11  55899.
 2007 12  66941.
 2008 01 60910·
 2008 02 92951·
 2008 03 14945·
 2008 04 0911.
 2008 05 99864.
 2008 06 11852·
 2008 07 89862·
 2008 08 67904.
 2008 09 7973·
 2008 10 81923.
 2008 11 68950·
 2008 12 85909·
 2009 01  35857·
 2009 02  84847.
 2009 03  64820.
 2009 04  0810.
 2009 05  58805·
 2009 06  27834·
 2009 07  15846.
 2009 08  79914·
 2009 09  77931.
 2009 10  41931.
 2009 11  83874·
 2009 12  18856.
 2010 01 17908.
 2010 02 84922.
 2010 03 57875·
 2010 04 35890·
 2010 05 28842·
 2010 06 37882.
 2010 07 50929·
 2010 08 75943·
 2010 09 87954.
 2010 10 6908.
 2010 11 99904·
 2010 12 6888·
 2011 01  92851·
 2011 02  23788·
 2011 03  67775.
 2011 04  23746.
 2011 05  70684.
 2011 06  45685.
 2011 07  42710·
 2011 08  45675.
 2011 09  71741.
 2011 10  53768·
 2011 11  38807·
 2011 12  16813.
 2012 01 70872·
 2012 02 54839.
 2012 03 91863·
 2012 04 5829·
 2012 05 68826.
 2012 06 80886·
 2012 07 65874.
 2012 08 7848.
 2012 09 91911.
 2012 10 87882·
 2012 11 48867·
 2012 12 40922·
 2013 01  87906·
 2013 02  57887.
 2013 03  53848·
 2013 04  48904·
 2013 05  34855.
 2013 06  96897·
 2013 07  17906·
 2013 08  2849.
 2013 09  31760.
 2013 10  37749.
 2013 11  3778·
 2013 12  94904.
 2014 01 4873·
 2014 02 35923·
 2014 03 0933·
 2014 04 44857.
 2014 05 3885·
 2014 06 74838.
 2014 07 20891·
 2014 08 97928·
 2014 09 3883·
 2014 10 58944.
 2014 11 1890.
 2014 12 21853·
 2015 01  5861·
 2015 02  20827·
 2015 03  6831·
 2015 04  10873.
 2015 05  35943·
 2015 06  16830.
 2015 07  22903.
 2015 08  84876.
 2015 09  42955·
 2015 10  281001·
 2015 11  641004.
 2015 12  861057·
 2016 01 21120·
 2016 02 641011.
 2016 03 68969.
 2016 04 87960.
 2016 05 16918.
 2016 06 53933.
 2016 07 98999.
 2016 08 79975·
 2016 09 9942·
 2016 10 53966·
 2016 11 411060·
 2016 12 831032.
 2017 01  301017.
 2017 02  46998·
 2017 03  10982.
 2017 04  42954.
 2017 05  57966·
 2017 06  39952.
 2017 07  43999·
 2017 08  25981.


 2017 09  88969·
 2017 10  62996·
 2017 11  41052.
 2017 12  27945·
 2018 01 50939.
 2018 02 72916.
 2018 03 80938·
 2018 04 67881.
 2018 05 93868·
 2018 06 52912.
 2018 07 83962·
 2018 08 89961·
 2018 09 911004·
 2018 10 8955·
 2018 11 52976·
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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: Employment Level: Management, Business, and Financial Operations Occupations in Retail Trade Industry: 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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