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Data Dashboard Guide

Lobin’s Data Dashboard provides a comprehensive visibility into the competitive environment of the 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:
2. Use of Dashboard
3. Dashboard Elements
Tab
Filter
Object
Visualization
Item
Detail
Snapshot-Region
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
-
Snapshot-Type
Year
Region
Supply
Donut Chart
No. of Rooms
-
Bar Chart
Average Rooms
-
Demand
Donut Chart
No. of Guests (K)
-
Bar Chart
Rooms Occupied (K)
-
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
-
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 not enough to control this concern. 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:

5. Updates

Data for 2023 was updated on August 1, 2024, and will be updated at the end of March each year 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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Step 1 of 3

Access Request for Member Dashboard

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

2024 access 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.