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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 98759.
 2000 02 27825.
 2000 03 35853·
 2000 04 37871·
 2000 05 72901·
 2000 06 82857·
 2000 07 9912·
 2000 08 29932.
 2000 09 93916.
 2000 10 151002.
 2000 11 66983.
 2000 12 0964.
 2001 01  13949·
 2001 02  11876·
 2001 03  17842.
 2001 04  96845.
 2001 05  5888.
 2001 06  74858.
 2001 07  1893·
 2001 08  85936·
 2001 09  72829·
 2001 10  37825.
 2001 11  81866·
 2001 12  61883.
 2002 01 37895.
 2002 02 56935·
 2002 03 45842·
 2002 04 43856.
 2002 05 53855.
 2002 06 13815.
 2002 07 5847·
 2002 08 77936.
 2002 09 93897.
 2002 10 15847·
 2002 11 0805·
 2002 12 29846·
 2003 01  58840.
 2003 02  93950.
 2003 03  92881.
 2003 04  96859·
 2003 05  74961·
 2003 06  3962.
 2003 07  70961.
 2003 08  96860·
 2003 09  91850.
 2003 10  28785·
 2003 11  46752·
 2003 12  73820.
 2004 01 85854·
 2004 02 75906.
 2004 03 58938.
 2004 04 97898·
 2004 05 56998·
 2004 06 74943·
 2004 07 68926·
 2004 08 61970·
 2004 09 291021·
 2004 10 821014·
 2004 11 66989.
 2004 12 841003·
 2005 01  54919.
 2005 02  82972.
 2005 03  631004.
 2005 04  11926·
 2005 05  81000.
 2005 06  79943.
 2005 07  98970·
 2005 08  111041.
 2005 09  901043.
 2005 10  61023.
 2005 11  341070·
 2005 12  791034·
 2006 01 261011.
 2006 02 181028·
 2006 03 581005·
 2006 04 32996.
 2006 05 66951·
 2006 06 98946·
 2006 07 83989·
 2006 08 151001.
 2006 09 86985.
 2006 10 53971·
 2006 11 47937·
 2006 12 99920·
 2007 01  85912.
 2007 02  13865·
 2007 03  14909.
 2007 04  75970·
 2007 05  91952·
 2007 06  36947·
 2007 07  70889.
 2007 08  64900.
 2007 09  51896.
 2007 10  3913·
 2007 11  29899·
 2007 12  11941·
 2008 01 44910.
 2008 02 20951.
 2008 03 29945.
 2008 04 83911.
 2008 05 67864.
 2008 06 21852.
 2008 07 33862·
 2008 08 75904·
 2008 09 48973.
 2008 10 60923.
 2008 11 28950·
 2008 12 7909·
 2009 01  36857·
 2009 02  20847.
 2009 03  28820.
 2009 04  22810·
 2009 05  7805.
 2009 06  7834·
 2009 07  70846.
 2009 08  90914.
 2009 09  61931.
 2009 10  54931·
 2009 11  17874.
 2009 12  4856.
 2010 01 23908·
 2010 02 16922·
 2010 03 57875.
 2010 04 84890.
 2010 05 44842·
 2010 06 75882·
 2010 07 4929.
 2010 08 74943.
 2010 09 0954·
 2010 10 38908·
 2010 11 94904·
 2010 12 44888.
 2011 01  90851.
 2011 02  37788.
 2011 03  91775·
 2011 04  86746.
 2011 05  41684·
 2011 06  29685.
 2011 07  82710·
 2011 08  21675·
 2011 09  2741.
 2011 10  93768·
 2011 11  82807.
 2011 12  93813.
 2012 01 49872·
 2012 02 39839.
 2012 03 26863.
 2012 04 70829.
 2012 05 82826·
 2012 06 97886.
 2012 07 79874·
 2012 08 47848·
 2012 09 26911·
 2012 10 23882.
 2012 11 28867·
 2012 12 44922.
 2013 01  33906.
 2013 02  0887.
 2013 03  86848·
 2013 04  3904.
 2013 05  77855.
 2013 06  34897.
 2013 07  92906.
 2013 08  94849.
 2013 09  59760·
 2013 10  56749·
 2013 11  7778·
 2013 12  12904·
 2014 01 5873·
 2014 02 24923·
 2014 03 20933·
 2014 04 75857·
 2014 05 63885·
 2014 06 19838.
 2014 07 43891.
 2014 08 28928·
 2014 09 11883.
 2014 10 48944·
 2014 11 15890.
 2014 12 40853·
 2015 01  48861·
 2015 02  41827.
 2015 03  99831.
 2015 04  5873.
 2015 05  0943·
 2015 06  57830·
 2015 07  82903·
 2015 08  42876.
 2015 09  18955·
 2015 10  761001.
 2015 11  771004·
 2015 12  951057.
 2016 01 751120·
 2016 02 61011·
 2016 03 22969·
 2016 04 34960·
 2016 05 74918.
 2016 06 77933·
 2016 07 81999.
 2016 08 52975·
 2016 09 39942·
 2016 10 47966·
 2016 11 401060·
 2016 12 691032·
 2017 01  211017·
 2017 02  97998·
 2017 03  13982.
 2017 04  28954·
 2017 05  95966·
 2017 06  33952.


 2017 07  38999·
 2017 08  0981.
 2017 09  61969.
 2017 10  88996.
 2017 11  771052·
 2017 12  78945·
 2018 01 45939.
 2018 02 18916·
 2018 03 19938·
 2018 04 80881·
 2018 05 98868·
 2018 06 5912.
 2018 07 76962.
 2018 08 53961·
 2018 09 941004.
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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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