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Member Dashboard Guide

Lobin’s Member Dashboard provides a comprehensive view of the competitive environment of lodging markets in Korea. There are various types of lodging establishments in Korea, and they have histoirically formed separate markets for different demand segments. However, recently, the boundaries between types are disappearing, and different types of establishments are forming direct competitions. In other words, a comprehensive view of the entire market is becoming more and more important.
Table of Contents
1. Getting Access
Lobin's Member Dashboard provides demand and supply data of lodging markets in Korea through Microsoft Power BI , and the access can be obtained according to the following procedure:
  1. Request Access (with an email of your Microsoft account)
  2. Pay Annual Access Fee (currently only via Paypal Checkout)
  3. Accept Email Invitation (login to Microsoft account)
  4. Access Member Dashboard (from January 1 to December 31)
2. Use of Dashboard
3. Dashboard Elements
Tab
Filter
Object
Visualization
Item
Detail
Snapshot
Year
Type
Supply
Shape Map
No. of Establishments
-
No. of Rooms
-
Average Rooms
-
Demand
Shape Map
Rooms Occupied (K)
-
No. of Guests (K)
-
Guests POR
-
Timeseries-Supply
Region
Type
No. of Establishments
Stacked Bar Chart
No. of Establishments
-
No. of Rooms
Stacked Bar Chart
No. of Rooms
-
Line Graph
Average Rooms
-
Timeseries-Demand
Region
Type
Rooms Occupied
Stacked Bar Chart
Rooms Occupied (K)
Domestic
International
Line Graph
Occupancy
-
No. of Guests
Stacked Bar Chart
No. of Guests (K)
Domestic
International
Line Graph
Guests POR
-
  1. An establishment refers to a business registered for a place, whether all or part of a building or a complex of buildings, by an operator, whether an individual or a corporation. If multiple operators operate independently in a single property, the number of establishments equals the number of operators. If an operator operates multiple properties separately, the number of establishments equals the number of properties.
  2. The number of rooms is the total number of rooms held by a property or properties used as a single establishment, which means the maximum number of rooms that can be sold per day. Please note that the number of rooms represents the size of the assets in which the product is produced, not the number of products itself.
  3. The average rooms is the average number of rooms held by establishments that correspond to the selected filter, which refers to the average number of rooms per establishment. The average rooms varies greatly depending on the establishment type, which is largely due to the regulations of the relevant laws and regulations.
  4. The rooms occupied is the number of room products sold in a year based on the number of rooms held by the establishment. For example, if an establishment with 120 rooms sold an average of 100 rooms per day for 365 days, the rooms occupied is 36,500.
  5. The number of guests is the total number of people who stayed in rooms occupied for a year. Please note that the number of guests will be counted as two if a guest stays in a room for two days.
  6. The guests per occupied room is the number of guests divided by the rooms occupied, which means how many people stayed on average per room occupied. The guests per occupied room is one of the productivity indicators for guests, and the smaller the value, the higher the productivity.
4. Use of Data

Snapshot outputs supply and demand indicators by region for selection years and property types on separate maps, allowing you to compare supply and demand dynamics simultaneously on a single tab. The darkness of the color marked on each map represents the supply and demand volume of accommodations corresponding to the selection filter by region, and the darker the color, the larger the volume.

Please note that the darkness of the color marked on the map is based on the relative value of each region, not the absolute value. In other words, if the color of demand is darker than that of supply for a region, it means that the share of demand is higher than the share of supply, not whether demand exceeds supply or not.

If the type is not selected on the timeseries tab, all types of data are color-coded and output. In this case, the total value of the stacked bar graph items is not provided, while the linear graph is based on the total value if the linear graphs are present together.

You can select multiple items from region and type filters on all tabs except for the year filter in the snapshot tab. When you click on the items you want to select with Ctrl key pressed, multiple items will be selected. In this case, the output data is based on the sum of the selected items.

Data cannot be downloaded and exported to other file formats such as Excel. First, we are concerned about leakage of data more than necessary due to the setup of our database, which provides a sum of individual data depending on the applied filter. Second, the functionality offered by Microsoft Power BI is ot enough to control this cencern. The access fee is reflective of this limitation in download/export functions.

Although not visible in the visualized objects, there are indicators that can be calculated and used directly if necessary, as following:

  1. Rooms Available (K): The rooms available is calculated as the number of rooms multiplied by the operating days in a year, and the occupancy is calculated by dividing the rooms occupied by the rooms available. In other words, the rooms available (K) is calculated by dividing the rooms occupied (K) by the occupancy in the Rooms Occupied graph of Timeseries-Demand tab .
  2. Average Operating Days: If the rooms available is calculated according to the above method, the average operating days can be obtained by multiplying the rooms available by 1,000 and dividing it by the number of rooms.
5. Updates

Data for 2023 will be updated on August 1, 2024, and data for the immediate preceeding year will be updated at the end of March afterwards. In other words, at least one update of annual timeseries data occurs per subscription period.

From 4th quarter of 2024, items related to floor area of establishments will be added to the supply data as well. The establishment area will be provided together with a break-down into room facility area, other facility area, and public facility area.

The establishment level data will be provided separately at Lobin Dashboard, a Web App currently under development, together with contents of the current member dashboard. The existing users of the member dashboard can choose to transfer to Lobin Dashboard, before the launch of Lobin Dashboard, and a separate email will be sent in advance.

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Access Request for Member Dashboard

You can obtain a comprehensive view over the competitive environment of lodging markets in Korea.

2024 subscription fee is USD 528 USD 176(VAT included), for access to the Member Dashboard for a year until December 31, 2024.

Please check out the details for using the Member Dashboard here .

Data Source

  • GDP: GDP, Current $US (World Bank Open Data)
  • Establishments: Compendium of Tourism Statistics (UNWTO), Lodging Business Ledger (MOIS)
  • Rooms: Compendium of Tourism Statistics (UNWTO), Lodging Business Ledger (MOIS)
  • Lodging GDP: Value Added by Industry (BEA), National Accounts (Cabinet Office), GDP of Indonesia (BPS), GDP & GNI by Sector (BOK), Economic Census (KOSIS)
  • Period: 2017-2021

※ In Korea, general & residential accommodations are included while rural & urban minbaks are excluded. Comparable countries are selected based upon availability of lodging GDP statistics for all types of accommodations.

Data Source

  • Population: Population, Total (World Bank Open Data)
  • GDP: GDP, Current $US (World Bank Open Data)
  • Rooms: Compendium of Tourism Statistics (UNWTO), Lodging Business Ledger (MOIS)
  • Lodging GDP: Value Added by Industry (BEA), National Accounts (Cabinet Office), GDP of Indonesia (BPS), GDP & GNI by Sector (BOK), Economic Census (KOSIS)
  • Period: 2017-2021

※ In Korea, general & residential accommodations are included while rural & urban minbaks are excluded. Comparable countries are selected based upon availability of lodging GDP statistics for all types of accommodations.

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Data Source

  • Korea: Lodging Business Ledger (MOIS), Tourist Accommodation Ledger (MCST)
  • USA: Census Database (STR)
  • Period: As at the end of 2021

※ General & residential accommodations other than rural and urban minbaks asre included for Korea. Life cycle was calculated as of December 31, 2021 or actual closure date. If there exists a discrepancy between data sources for an establishment, the discrepancy was settled through an algorithm before use.

Data Source

  • Korea: Lodging Business Ledger (MOIS), Tourist Accommodation Ledger (MCST), Economic Census (KOSIS), Hotel Operating Statistics (KHA), DART (FSS), Trends Report (STR)
  • USA: Compendium of Tourism Statistics (UNWTO), Census Database (STR), Trends Report (STR)
  • Period: 2005-2021

※ General & residential accommodations other than rural and urban minbaks asre included for Korea. Visibility was calculated as the number of establishments for which revenue data is available divided by the total number of establishments. If there exists a discrepancy between data sources for an establishment, the discrepancy was settled through an algorithm before use.

Data Source

  • Guests(Korea): Domestic Traveler Survey (MCST), International Traveler Survey (MCST), Hotel Operating Statistics (KHA)
  • Rooms(Korea): Lodging Business Ledger (MOIS), Tourist Accommodation Ledger (MCST)
  • Guests(USA): Compendium of Tourism Statistics (UNWTO), Trends Report (STR)
  • Rooms(USA): Compendium of Tourism Statistics (UNWTO), Census Database (STR)
  • Period: 2005-2020

※ General & residential accommodations other than rural and urban minbaks asre included for Korea. If there exists a discrepancy between data sources for an establishment, the discrepancy was settled through an algorithm before use.