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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 79841.
 2000 02 63825.
 2000 03 40748·
 2000 04 50680.
 2000 05 58683·
 2000 06 28802.
 2000 07 32794·
 2000 08 66850.
 2000 09 9897.
 2000 10 99796·
 2000 11 31803·
 2000 12 86780·
 2001 01  83776.
 2001 02  55778·
 2001 03  49746.
 2001 04  55792.
 2001 05  56784·
 2001 06  5724.
 2001 07  26841.
 2001 08  43807.
 2001 09  28779·
 2001 10  79789·
 2001 11  24705·
 2001 12  43691·
 2002 01 23760·
 2002 02 35792.
 2002 03 30795.
 2002 04 74769·
 2002 05 94803.
 2002 06 53746·
 2002 07 58792·
 2002 08 81784·
 2002 09 14723.
 2002 10 41753·
 2002 11 46758.
 2002 12 33758·
 2003 01  84787·
 2003 02  30804.
 2003 03  55789·
 2003 04  24794·
 2003 05  30790.
 2003 06  77767·
 2003 07  76841·
 2003 08  73820·
 2003 09  3843.
 2003 10  64820·
 2003 11  19822·
 2003 12  24798.
 2004 01 76764·
 2004 02 96851.
 2004 03 23839·
 2004 04 46818·
 2004 05 52793.
 2004 06 7761.
 2004 07 52781.
 2004 08 34723.
 2004 09 55755·
 2004 10 51808.
 2004 11 92860.
 2004 12 6893·
 2005 01  36816.
 2005 02  12864·
 2005 03  57835·
 2005 04  7807.
 2005 05  69862.
 2005 06  96822.
 2005 07  84846·
 2005 08  6803·
 2005 09  57780.
 2005 10  34797·
 2005 11  37777·
 2005 12  97846.
 2006 01 23772.
 2006 02 83765.
 2006 03 4740·
 2006 04 99787·
 2006 05 18858.
 2006 06 24814·
 2006 07 97838·
 2006 08 56823.
 2006 09 18850·
 2006 10 65836.
 2006 11 54889·
 2006 12 38856·
 2007 01  22748.
 2007 02  36766·
 2007 03  38789.
 2007 04  39798·
 2007 05  58807.
 2007 06  95872.
 2007 07  37829·
 2007 08  77776·
 2007 09  74819.
 2007 10  24776·
 2007 11  63881·
 2007 12  97952.
 2008 01 46885·
 2008 02 28870.
 2008 03 56848·
 2008 04 68856·
 2008 05 75838·
 2008 06 39810·
 2008 07 77827.
 2008 08 84771.
 2008 09 85780.
 2008 10 15805.
 2008 11 15818·
 2008 12 65884·
 2009 01  29872·
 2009 02  36836·
 2009 03  82809.
 2009 04  53802·
 2009 05  79789.
 2009 06  10814·
 2009 07  17825.
 2009 08  20846.
 2009 09  38795·
 2009 10  68790.
 2009 11  82794·
 2009 12  58831·
 2010 01 31829·
 2010 02 66841.
 2010 03 65902.
 2010 04 87910·
 2010 05 7833·
 2010 06 87799·
 2010 07 78773·
 2010 08 51789·
 2010 09 43774·
 2010 10 37824·
 2010 11 61807·
 2010 12 19738·
 2011 01  38780.
 2011 02  47830·
 2011 03  76848.
 2011 04  86838·
 2011 05  19864·
 2011 06  74810·
 2011 07  10803.
 2011 08  70809·
 2011 09  35754·
 2011 10  1787.
 2011 11  77812.
 2011 12  15822.
 2012 01 62879·
 2012 02 32824.
 2012 03 14783·
 2012 04 91787.
 2012 05 0796·
 2012 06 1841·
 2012 07 84807·
 2012 08 92842·
 2012 09 75896.
 2012 10 64907·
 2012 11 76958.
 2012 12 37940.
 2013 01  37807·
 2013 02  2839·
 2013 03  2838·
 2013 04  70798·
 2013 05  61864·
 2013 06  22838.
 2013 07  99767.
 2013 08  60824.
 2013 09  48827·
 2013 10  56922.
 2013 11  32956·
 2013 12  2945.
 2014 01 23850.
 2014 02 60798.
 2014 03 88861.
 2014 04 14933.
 2014 05 37992·
 2014 06 17976·
 2014 07 79960·
 2014 08 41939·
 2014 09 65924.
 2014 10 321033.
 2014 11 441094·
 2014 12 521005·
 2015 01  7961.
 2015 02  37870.
 2015 03  45867.
 2015 04  41825·
 2015 05  89909.
 2015 06  89964·
 2015 07  70970.
 2015 08  261014.
 2015 09  62938·
 2015 10  69942.
 2015 11  33991.
 2015 12  531020.
 2016 01 99953·
 2016 02 85991·
 2016 03 711006·
 2016 04 91985.
 2016 05 3980·
 2016 06 68992·
 2016 07 471036·
 2016 08 33976.
 2016 09 98910·
 2016 10 74976·
 2016 11 49969.
 2016 12 98970.
 2017 01  351020·
 2017 02  851044·
 2017 03  89994.
 2017 04  321030·
 2017 05  891079·
 2017 06  81068.


 2017 07  7971.
 2017 08  2934.
 2017 09  60989.
 2017 10  741056·
 2017 11  641126.
 2017 12  31118.
 2018 01 751038·
 2018 02 40981.
 2018 03 481054·
 2018 04 551016·
 2018 05 821052.
 2018 06 881035·
 2018 07 731068.
 2018 08 11078.
 2018 09 59962·
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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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