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The Ministry of Transportation and Communications Tourism Bureau collects spatial tourism information released by various government agencies, including information on tourist attractions, activities, dining and lodging, tourist service stations, hiking trails, bike paths, and other data, providing comprehensive tourism GIS basic data for operators to add value. The XML field descriptions for each dataset, tourism data standard V1.0 data, please refer to https://media.taiwan.net.tw/Upload/TourismInformationStandardFormatV1.0.pdf; tourism data standard V2.0 data, please refer to https://media.taiwan.net.tw/Upload/TourismDataStandardV2.0.pdf.
The dataset contains locations and attributes of Hotels, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. A database provided by the DC Taxi Commission (DCTC) and research at various commercial websites identified Hotels and DC GIS staff geo-processed the data.
Comprehensive dataset of 1,195 Hotels in Kentucky, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.
https://data.gov.tw/licensehttps://data.gov.tw/license
The Ministry of Transportation and Tourism Bureau collects spatial tourism information released by various government agencies, including data on tourist attractions, activities, dining and accommodations, tourist service stations, trails, and bike lanes, providing comprehensive tourism GIS basic data for value-added applications by industry. For XML field descriptions of each dataset, refer to the Tourism Data Standard V1.0 data at https://media.taiwan.net.tw/Upload/TourismInformationStandardFormatV1.0.pdf; for Tourism Data Standard V2.0 data, refer to https://media.taiwan.net.tw/Upload/TourismDataStandardV2.0.pdf.
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Number of Hotels: Chhattisgarh data was reported at 25.000 Unit in 2020. This records an increase from the previous number of 23.000 Unit for 2019. Number of Hotels: Chhattisgarh data is updated yearly, averaging 3.000 Unit from Dec 2004 (Median) to 2020, with 13 observations. The data reached an all-time high of 25.000 Unit in 2020 and a record low of 1.000 Unit in 2014. Number of Hotels: Chhattisgarh data remains active status in CEIC and is reported by Ministry of Tourism. The data is categorized under India Premium Database’s Hotel Sector – Table IN.QHA002: Number of Hotels: by States.
Comprehensive dataset of 11,737 Resort hotels in United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.
https://data.gov.tw/licensehttps://data.gov.tw/license
The Ministry of Transportation and Communications' Tourism Bureau collects spatial tourism information released by various government agencies, including data on tourist attractions, activities, food and lodging, tourist service stations, trails, and bike paths, providing comprehensive tourism GIS basic data for value-added applications by businesses. The XML field descriptions for each data set, version 1.0 tourism data standard, can be found at https://media.taiwan.net.tw/Upload/TourismInformationStandardFormatV1.0.pdf; and version 2.0 tourism data standard at https://media.taiwan.net.tw/Upload/TourismDataStandardV2.0.pdf.
Comprehensive dataset of 1,789 Hotels in South Carolina, United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.
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License information was derived automatically
India IHIS: Average Hotel Occupancy Rate: Independent Hotels data was reported at 60.200 % in 2017. This records a decrease from the previous number of 61.200 % for 2016. India IHIS: Average Hotel Occupancy Rate: Independent Hotels data is updated yearly, averaging 60.400 % from Mar 2001 (Median) to 2017, with 17 observations. The data reached an all-time high of 69.200 % in 2008 and a record low of 54.400 % in 2002. India IHIS: Average Hotel Occupancy Rate: Independent Hotels data remains active status in CEIC and is reported by Federation of Hotel & Restaurant Associations of India. The data is categorized under India Premium Database’s Hotel Sector – Table IN.QHC002: Indian Hotel Industry Survey: Average Hotel Occupancy Rate.
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License information was derived automatically
India IHIS: Average Length of Stay: Chain Affiliated Hotels: Foreign data was reported at 3.200 Day in 2018. This records a decrease from the previous number of 4.500 Day for 2017. India IHIS: Average Length of Stay: Chain Affiliated Hotels: Foreign data is updated yearly, averaging 2.550 Day from Mar 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 4.500 Day in 2017 and a record low of 2.100 Day in 2012. India IHIS: Average Length of Stay: Chain Affiliated Hotels: Foreign data remains active status in CEIC and is reported by Federation of Hotel & Restaurant Associations of India. The data is categorized under India Premium Database’s Hotel Sector – Table IN.QHC001: Indian Hotel Industry Survey: Average Length of Stay.
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License information was derived automatically
This dataset includes replication data for the paper: Sann, R. and Lai, P.-C. (2023), "Topic modeling of the quality of guest’s experience using latent Dirichlet allocation: western versus eastern perspectives", Consumer Behavior in Tourism and Hospitality, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/CBTH-04-2022-0084
Comprehensive dataset of 1,171 Extended stay hotels in Brazil as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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No of Hotel Rooms: DOM: Guadeloupe data was reported at 86.090 Unit th in Feb 2025. This records a decrease from the previous number of 95.070 Unit th for Jan 2025. No of Hotel Rooms: DOM: Guadeloupe data is updated monthly, averaging 95.215 Unit th from Jan 2011 (Median) to Feb 2025, with 170 observations. The data reached an all-time high of 108.700 Unit th in Dec 2016 and a record low of 11.500 Unit th in Apr 2020. No of Hotel Rooms: DOM: Guadeloupe data remains active status in CEIC and is reported by National Institute of Statistics and Economic Studies. The data is categorized under Global Database’s France – Table FR.Q010: Hotels Statistics: Number of Hotel Rooms.
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.HOTEL.TZ Whois Database, discover comprehensive ownership details, registration dates, and more for .HOTEL.TZ TLD with Whois Data Center.
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Number of Hotels: Arunachal Pradesh: Two-Star data was reported at 2.000 Unit in 2020. This stayed constant from the previous number of 2.000 Unit for 2019. Number of Hotels: Arunachal Pradesh: Two-Star data is updated yearly, averaging 2.000 Unit from Dec 2008 (Median) to 2020, with 9 observations. The data reached an all-time high of 2.000 Unit in 2020 and a record low of 1.000 Unit in 2014. Number of Hotels: Arunachal Pradesh: Two-Star data remains active status in CEIC and is reported by Ministry of Tourism. The data is categorized under India Premium Database’s Hotel Sector – Table IN.QHA002: Number of Hotels: by States.
Comprehensive dataset of 1 Casino hotels in Turkey as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.
General Office of Tourism – Pivot Database – Hotels
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.HOTEL.LK Whois Database, discover comprehensive ownership details, registration dates, and more for .HOTEL.LK TLD with Whois Data Center.
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No of Hotel Rooms: MF: Corsica data was reported at 88.000 Unit th in Feb 2025. This records an increase from the previous number of 87.000 Unit th for Jan 2025. No of Hotel Rooms: MF: Corsica data is updated monthly, averaging 233.000 Unit th from Jan 2011 (Median) to Feb 2025, with 170 observations. The data reached an all-time high of 390.000 Unit th in Aug 2024 and a record low of 49.000 Unit th in Jan 2021. No of Hotel Rooms: MF: Corsica data remains active status in CEIC and is reported by National Institute of Statistics and Economic Studies. The data is categorized under Global Database’s France – Table FR.Q010: Hotels Statistics: Number of Hotel Rooms.
Comprehensive dataset of 6 Extended stay hotels in Sinop, Turkey as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.
https://data.gov.tw/licensehttps://data.gov.tw/license
The Ministry of Transportation and Communications Tourism Bureau collects spatial tourism information released by various government agencies, including information on tourist attractions, activities, dining and lodging, tourist service stations, hiking trails, bike paths, and other data, providing comprehensive tourism GIS basic data for operators to add value. The XML field descriptions for each dataset, tourism data standard V1.0 data, please refer to https://media.taiwan.net.tw/Upload/TourismInformationStandardFormatV1.0.pdf; tourism data standard V2.0 data, please refer to https://media.taiwan.net.tw/Upload/TourismDataStandardV2.0.pdf.