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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 64759·
 2000 02 15825.
 2000 03 56853.
 2000 04 46871·
 2000 05 66901·
 2000 06 3857.
 2000 07 44912·
 2000 08 5932·
 2000 09 85916·
 2000 10 391002·
 2000 11 82983.
 2000 12 13964·
 2001 01  71949.
 2001 02  5876·
 2001 03  84842.
 2001 04  14845·
 2001 05  99888.
 2001 06  8858.
 2001 07  87893·
 2001 08  77936.
 2001 09  69829·
 2001 10  80825.
 2001 11  56866.
 2001 12  96883.
 2002 01 7895.
 2002 02 76935.
 2002 03 76842·
 2002 04 90856.
 2002 05 63855.
 2002 06 79815·
 2002 07 62847.
 2002 08 4936·
 2002 09 14897·
 2002 10 96847.
 2002 11 52805.
 2002 12 6846.
 2003 01  58840.
 2003 02  57950·
 2003 03  7881.
 2003 04  91859·
 2003 05  21961.
 2003 06  20962·
 2003 07  17961.
 2003 08  77860·
 2003 09  55850.
 2003 10  66785·
 2003 11  93752.
 2003 12  10820.
 2004 01 34854·
 2004 02 2906·
 2004 03 74938.
 2004 04 57898·
 2004 05 58998.
 2004 06 60943.
 2004 07 23926·
 2004 08 14970·
 2004 09 541021.
 2004 10 961014.
 2004 11 28989·
 2004 12 991003·
 2005 01  70919.
 2005 02  91972·
 2005 03  11004.
 2005 04  57926.
 2005 05  841000.
 2005 06  53943·
 2005 07  80970.
 2005 08  561041.
 2005 09  951043.
 2005 10  131023·
 2005 11  291070.
 2005 12  911034·
 2006 01 281011.
 2006 02 281028.
 2006 03 351005·
 2006 04 81996.
 2006 05 35951.
 2006 06 79946·
 2006 07 11989·
 2006 08 701001.
 2006 09 90985·
 2006 10 73971.
 2006 11 95937·
 2006 12 27920·
 2007 01  93912·
 2007 02  42865·
 2007 03  49909·
 2007 04  47970·
 2007 05  71952.
 2007 06  42947.
 2007 07  63889.
 2007 08  48900.
 2007 09  73896·
 2007 10  55913.
 2007 11  48899.
 2007 12  74941.
 2008 01 75910.
 2008 02 87951·
 2008 03 42945·
 2008 04 95911·
 2008 05 78864·
 2008 06 71852·
 2008 07 9862.
 2008 08 6904.
 2008 09 6973·
 2008 10 62923.
 2008 11 36950·
 2008 12 24909.
 2009 01  10857.
 2009 02  44847.
 2009 03  36820.
 2009 04  94810.
 2009 05  66805·
 2009 06  21834.
 2009 07  48846.
 2009 08  86914·
 2009 09  74931·
 2009 10  26931.
 2009 11  33874.
 2009 12  93856·
 2010 01 59908·
 2010 02 15922.
 2010 03 80875·
 2010 04 35890·
 2010 05 72842.
 2010 06 70882·
 2010 07 2929·
 2010 08 56943·
 2010 09 87954.
 2010 10 98908.
 2010 11 37904.
 2010 12 24888·
 2011 01  7851.
 2011 02  31788.
 2011 03  47775.
 2011 04  35746·
 2011 05  55684·
 2011 06  24685·
 2011 07  21710·
 2011 08  6675·
 2011 09  82741.
 2011 10  60768.
 2011 11  70807·
 2011 12  83813.
 2012 01 64872.
 2012 02 45839.
 2012 03 34863.
 2012 04 35829·
 2012 05 0826.
 2012 06 11886.
 2012 07 75874.
 2012 08 55848.
 2012 09 18911·
 2012 10 15882·
 2012 11 81867.
 2012 12 63922·
 2013 01  66906.
 2013 02  38887·
 2013 03  65848·
 2013 04  2904.
 2013 05  20855.
 2013 06  86897.
 2013 07  65906·
 2013 08  43849.
 2013 09  81760·
 2013 10  93749.
 2013 11  43778·
 2013 12  78904·
 2014 01 74873·
 2014 02 13923.
 2014 03 88933.
 2014 04 28857.
 2014 05 49885.
 2014 06 29838.
 2014 07 12891.
 2014 08 37928·
 2014 09 82883·
 2014 10 47944.
 2014 11 54890.
 2014 12 73853.
 2015 01  73861.
 2015 02  99827·
 2015 03  76831.
 2015 04  31873.
 2015 05  47943.
 2015 06  42830·
 2015 07  66903.
 2015 08  29876.
 2015 09  56955.
 2015 10  571001.
 2015 11  371004·
 2015 12  131057.
 2016 01 731120.
 2016 02 521011.
 2016 03 26969·
 2016 04 50960.
 2016 05 1918·
 2016 06 56933·
 2016 07 98999.
 2016 08 36975·
 2016 09 63942·
 2016 10 28966·
 2016 11 391060.
 2016 12 901032·
 2017 01  121017.
 2017 02  49998.
 2017 03  63982·
 2017 04  55954·


 2017 05  20966·
 2017 06  25952.
 2017 07  7999·
 2017 08  0981.
 2017 09  91969·
 2017 10  89996.
 2017 11  341052.
 2017 12  21945.
 2018 01 47939.
 2018 02 96916.
 2018 03 33938.
 2018 04 35881·
 2018 05 41868.
 2018 06 29912·
 2018 07 16962.
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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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