Lodging Business Intelligence

Lobin is a 'lodging business intelligence' based on industry expertise and data technology. We help to make data-driven decisions for management and investments in the lodging industry.
Data Service

Manage risks with a comprehensive visibility the into lodging markets.

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

Bring in a balance between stability and agility to lodging establishments.

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

Data Dashboard helps to effectively handle market risks with a seamless analysis of supply and demand dynamics by region and establishment type.

Consulting Program brings a balance between stability and agility to lodging establishments by optimizing the positioning and value chain.

Previous slide
Next slide
Data Literacy

Data Literacy helps to make sense of lodging industry data with useful references.

Market Insight

Lodging Market Insight helps to stay tuned for market issues relevant to lodging establishments.

Scroll to Top
Please enable JavaScript in your browser to complete this form.
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.

Coming soon! We're still in process.

1:1 Contact
Please enable JavaScript in your browser to complete this form.

※ 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.