Lodging Business Intelligence

Lobin provides a complete visibility and working solutions for the lodging industry of Korea at every level, based on the lodging industry expertise and the advanced data technology.

Comprehensive analysis of supply, demand and pricing trends for Korean and its 17 metro markets!

Provides complete visibility to the competitive environment by region and type.

Data for all types of establishments
Time-series and recent snapshot data
Supply, demand and financial data

Derives a strategy to sharpen the competitive edge of lodging establishments.

Increase revenues and reduces expenses
Financial health and smooth financing
Optimize competitiveness and life cycle

Data Dashboard is where you can get a complete visibility to the lodging market of Korea, to balance growth with stability.

Consulting Program is where you can get working solutions to enhance cash flows and asset values of lodging establishments.

Data Literacy

Get started with Data Literacy to make sense of massive lodging industry data.

Market Insight

Stay tuned with updates in the lodging market of Korea through Market Insight.

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Access Request for Data Dashboard 2024

Data Dashboard 2024 provides detailed data for 17 metro markets by establishment type, visualized through Microsoft Power BI.

※ You can use Data Dashboard without extra charges before expiration of the existing access period, if 2025 data is updated during the access period.

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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※ Messages intended for defamation or obstruction of business by Lobin Co. and /or other third parties, or containing content that is obscene, violent or unrelated to Lobin Co.’s business, will automatically be blocked by the system and not delivered to the administrator.

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.