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 Series Title: Employment Level: Professional, and Related Occupations in Retail Trade Industry: 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 0841.
 2000 02 54825.
 2000 03 83748.
 2000 04 89680.
 2000 05 0683·
 2000 06 44802·
 2000 07 52794.
 2000 08 85850.
 2000 09 85897.
 2000 10 51796·
 2000 11 41803·
 2000 12 99780·
 2001 01  6776.
 2001 02  57778.
 2001 03  62746·
 2001 04  74792.
 2001 05  38784·
 2001 06  69724.
 2001 07  54841.
 2001 08  80807·
 2001 09  80779·
 2001 10  17789.
 2001 11  79705·
 2001 12  10691.
 2002 01 60760·
 2002 02 60792.
 2002 03 26795·
 2002 04 85769·
 2002 05 26803·
 2002 06 77746·
 2002 07 6792·
 2002 08 48784·
 2002 09 55723·
 2002 10 77753.
 2002 11 59758·
 2002 12 68758.
 2003 01  47787·
 2003 02  91804·
 2003 03  46789.
 2003 04  39794·
 2003 05  27790.
 2003 06  75767.
 2003 07  56841·
 2003 08  81820·
 2003 09  46843.
 2003 10  11820·
 2003 11  2822·
 2003 12  38798·
 2004 01 78764·
 2004 02 5851·
 2004 03 22839·
 2004 04 78818·
 2004 05 25793·
 2004 06 90761.
 2004 07 78781.
 2004 08 96723·
 2004 09 12755.
 2004 10 22808·
 2004 11 58860.
 2004 12 12893·
 2005 01  89816·
 2005 02  82864.
 2005 03  75835.
 2005 04  69807·
 2005 05  31862.
 2005 06  78822.
 2005 07  68846.
 2005 08  36803.
 2005 09  40780·
 2005 10  40797.
 2005 11  98777.
 2005 12  7846·
 2006 01 40772·
 2006 02 26765·
 2006 03 55740·
 2006 04 3787·
 2006 05 81858·
 2006 06 16814.
 2006 07 50838.
 2006 08 66823·
 2006 09 40850·
 2006 10 19836·
 2006 11 22889·
 2006 12 66856.
 2007 01  16748.
 2007 02  65766.
 2007 03  34789.
 2007 04  97798·
 2007 05  35807·
 2007 06  11872.
 2007 07  73829·
 2007 08  78776.
 2007 09  47819.
 2007 10  39776·
 2007 11  52881.
 2007 12  54952·
 2008 01 28885·
 2008 02 55870·
 2008 03 10848·
 2008 04 93856.
 2008 05 78838·
 2008 06 91810·
 2008 07 9827·
 2008 08 90771·
 2008 09 23780.
 2008 10 3805·
 2008 11 37818.
 2008 12 64884·
 2009 01  12872.
 2009 02  74836.
 2009 03  6809.
 2009 04  58802.
 2009 05  22789·
 2009 06  10814.
 2009 07  56825·
 2009 08  43846.
 2009 09  52795·
 2009 10  42790·
 2009 11  48794.
 2009 12  12831·
 2010 01 28829·
 2010 02 27841·
 2010 03 71902·
 2010 04 84910·
 2010 05 1833.
 2010 06 47799.
 2010 07 38773·
 2010 08 4789·
 2010 09 46774.
 2010 10 9824·
 2010 11 85807·
 2010 12 40738.
 2011 01  62780.
 2011 02  44830.
 2011 03  77848.
 2011 04  87838.
 2011 05  77864·
 2011 06  8810·
 2011 07  2803.
 2011 08  64809·
 2011 09  39754·
 2011 10  84787.
 2011 11  71812·
 2011 12  15822·
 2012 01 25879·
 2012 02 77824.
 2012 03 23783·
 2012 04 9787·
 2012 05 34796.
 2012 06 21841·
 2012 07 21807.
 2012 08 41842·
 2012 09 93896·
 2012 10 70907·
 2012 11 53958·
 2012 12 29940.
 2013 01  51807.
 2013 02  8839·
 2013 03  31838.
 2013 04  18798.
 2013 05  84864.
 2013 06  40838.
 2013 07  94767·
 2013 08  76824.
 2013 09  92827·
 2013 10  98922.
 2013 11  4956·
 2013 12  99945·
 2014 01 1850.
 2014 02 39798·
 2014 03 50861.
 2014 04 4933.
 2014 05 61992.
 2014 06 45976.
 2014 07 43960.
 2014 08 37939.
 2014 09 48924·
 2014 10 221033·
 2014 11 231094.
 2014 12 651005.
 2015 01  62961.
 2015 02  1870.
 2015 03  52867.
 2015 04  85825.
 2015 05  28909.
 2015 06  40964.
 2015 07  17970.
 2015 08  141014.
 2015 09  96938·
 2015 10  20942·
 2015 11  33991.
 2015 12  961020·
 2016 01 43953·
 2016 02 48991·
 2016 03 361006.
 2016 04 2985.
 2016 05 68980·
 2016 06 55992.
 2016 07 891036.
 2016 08 25976·
 2016 09 97910.
 2016 10 98976·
 2016 11 81969.
 2016 12 83970.
 2017 01  801020·
 2017 02  591044.
 2017 03  24994·
 2017 04  221030.
 2017 05  921079·
 2017 06  431068.
 2017 07  57971.
 2017 08  11934·


 2017 09  35989.
 2017 10  841056·
 2017 11  411126·
 2017 12  431118.
 2018 01 331038·
 2018 02 37981.
 2018 03 651054·
 2018 04 381016·
 2018 05 371052.
 2018 06 851035·
 2018 07 431068·
 2018 08 391078.
 2018 09 22962·
 2018 10 33954.
 2018 11 111079·
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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: Professional, and Related 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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