Economagic.com: Economic Time Series Page
 Browse Data Titles  |  Charts  |  Excel  |  Reports  |  Search  |  Maps & Movies  |  Help
 Subscriber Login  |  Subscription Info  |  Turn Advanced Features On  |  Change Defaults

 Series Title: Employment Level: Production Occupations in Wholesale and Retail Trade Industry: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  Reverse this series  |  Data set page
Link to Series in Level 1 Subscription Site
Link to Series in Level 2 Subscription Site
Link to Series in Level 0 Subscription Site
Go to end of data set
 2000 01 22822·
 2000 02 81793.
 2000 03 96825.
 2000 04 37776.
 2000 05 2780.
 2000 06 86697·
 2000 07 91773·
 2000 08 45760.
 2000 09 60777.
 2000 10 2755·
 2000 11 0718·
 2000 12 65712·
 2001 01  47675·
 2001 02  11687·
 2001 03  35703.
 2001 04  39700.
 2001 05  39769·
 2001 06  19806.
 2001 07  34783·
 2001 08  38802.
 2001 09  36721·
 2001 10  58765.
 2001 11  60757·
 2001 12  56678·
 2002 01 64681·
 2002 02 84664·
 2002 03 1689.
 2002 04 11707·
 2002 05 72711.
 2002 06 79708.
 2002 07 70810·
 2002 08 49756·
 2002 09 36723.
 2002 10 51759.
 2002 11 5733·
 2002 12 37693·
 2003 01  57734·
 2003 02  29690·
 2003 03  69641.
 2003 04  70687.
 2003 05  60622.
 2003 06  72695.
 2003 07  49729·
 2003 08  68722.
 2003 09  95775.
 2003 10  61672.
 2003 11  58760.
 2003 12  74846·
 2004 01 39783.
 2004 02 2685.
 2004 03 35587·
 2004 04 58611·
 2004 05 90642·
 2004 06 27642·
 2004 07 42738.
 2004 08 13716·
 2004 09 74720.
 2004 10 92794·
 2004 11 67776.
 2004 12 59763.
 2005 01  43689·
 2005 02  80677.
 2005 03  23718·
 2005 04  40708.
 2005 05  71647.
 2005 06  97634.
 2005 07  48658·
 2005 08  26692·
 2005 09  59747·
 2005 10  74801·
 2005 11  4813·
 2005 12  9833.
 2006 01 31748·
 2006 02 69684·
 2006 03 81690·
 2006 04 11675·
 2006 05 39717·
 2006 06 62686.
 2006 07 90656·
 2006 08 73647.
 2006 09 59673.
 2006 10 61638·
 2006 11 69620.
 2006 12 66623·
 2007 01  89595·
 2007 02  98565.
 2007 03  82576.
 2007 04  85604·
 2007 05  56635·
 2007 06  27719.
 2007 07  15787.
 2007 08  47754·
 2007 09  10753.
 2007 10  33719.
 2007 11  83684·
 2007 12  97607·
 2008 01 26617·
 2008 02 20584.
 2008 03 23614.
 2008 04 4632·
 2008 05 6673·
 2008 06 21639.
 2008 07 98586.
 2008 08 63631·
 2008 09 73578·
 2008 10 93549·
 2008 11 96603.
 2008 12 93553.
 2009 01  79596.
 2009 02  16572·
 2009 03  29615.
 2009 04  37625.
 2009 05  99623·
 2009 06  98663.
 2009 07  36650·
 2009 08  65621.
 2009 09  34574.
 2009 10  70609.
 2009 11  80668·
 2009 12  70684.
 2010 01 8650.
 2010 02 90634·
 2010 03 47569.
 2010 04 73601.
 2010 05 72559.
 2010 06 37642·
 2010 07 52754.
 2010 08 18684.
 2010 09 2698·
 2010 10 20583.
 2010 11 32630·
 2010 12 72644·
 2011 01  98644·
 2011 02  70686.
 2011 03  51681.
 2011 04  31608·
 2011 05  85598.
 2011 06  43647.
 2011 07  95691·
 2011 08  14685·
 2011 09  14707·
 2011 10  22716.
 2011 11  77687·
 2011 12  65637.
 2012 01 61585·
 2012 02 12592.
 2012 03 37602·
 2012 04 52618.
 2012 05 24570·
 2012 06 45571·
 2012 07 36596.
 2012 08 71660.
 2012 09 31676·
 2012 10 79692.
 2012 11 63639·
 2012 12 40590·
 2013 01  31586·
 2013 02  94547.
 2013 03  29557.
 2013 04  3541.
 2013 05  99525·
 2013 06  98535·
 2013 07  75583.
 2013 08  30618·
 2013 09  37632·
 2013 10  21652.
 2013 11  61570.
 2013 12  14550·
 2014 01 69597·
 2014 02 21604.
 2014 03 76594.
 2014 04 75619.
 2014 05 46597.
 2014 06 79590.
 2014 07 34630.
 2014 08 57593·
 2014 09 43618·
 2014 10 3623·
 2014 11 71695·
 2014 12 29693·
 2015 01  60685.
 2015 02  22659.
 2015 03  50579·
 2015 04  86627.
 2015 05  24632·
 2015 06  95637·
 2015 07  61646·
 2015 08  45608·
 2015 09  84613.
 2015 10  3630·
 2015 11  15603·
 2015 12  53573·
 2016 01 17628·
 2016 02 52659·
 2016 03 50590.
 2016 04 76560·
 2016 05 21517.
 2016 06 74468·
 2016 07 30495.
 2016 08 11494.
 2016 09 23508.
 2016 10 26527·
 2016 11 41528·
 2016 12 76537.
 2017 01  72619.
 2017 02  89578.
 2017 03  98599·
 2017 04  14571.
 2017 05  45519.
 2017 06  70510·
 2017 07  38562·
 2017 08  96558·
 2017 09  42580·


 2017 10  1619.
 2017 11  23640.
 2017 12  15589.
 2018 01 88537·
 2018 02 38461.
 2018 03 42461·
 2018 04 91525.
 2018 05 34585·
 2018 06 63622.
 2018 07 8684.
 2018 08 67711·
 2018 09 55737·
 2018 10 83633·
 2018 11 59659.
 2018 12 13653·
Economagic: Year Chart
Economagic: Economic Chart Dispenser

Click on chart to change display options.


Similar Series

Skip to Data / More Chart Options

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: Production Occupations in Wholesale and 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

Find out about Advanced Features such as online regressions, XY plots, and multiple series charting.

Sites of Interest: Conerly Consulting: Economics for Business Decisions * GGG Marketing SEO Experts * homes for sale - Pelican Marsh * Naples Luxury Real Estate Communities *

 Subscriber Login  |  Subscription Info  |  Turn Advanced Features On  |  Change Defaults  |  Disclaimer
 Browse Data Titles  |  Charts  |  Excel  |  Reports  |  Search  |  Maps & Movies  |  Help  |  About  |  Contact Us
 Economagic.com: Economic Time Series Page
Sitemap