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Thai Domestic Tourism Trends by Province
Data Science and Analytics
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About
This dataset provides detailed statistics on domestic tourism in Thailand, encompassing monthly provincial data on tourist numbers, accommodation occupancy, and generated revenue from January 2019 to February 2023. It aims to offer valuable insights into the Thai domestic tourism industry, highlighting trends and patterns across different provinces over time. The original raw data was sourced from the Official Ministry of Tourism and Sports Statistics and has been pre-processed to ensure accessibility and appropriate formatting. Revenue figures have been normalised to Thai Baht for clearer understanding.
Columns
- date: The month and year when the statistics were recorded, covering the period from 2019 to 2023.
- province_thai: The name of the Thai province in the Thai language. This dataset includes data for all 77 provinces.
- province_eng: The name of the Thai province in English.
- region_thai: The name of the region in Thailand to which the province belongs, presented in the Thai language. There are five unique regions.
- region_eng: The name of the region in Thailand to which the province belongs, presented in English.
- variable: This column indicates the specific type of data being recorded. It encompasses eight distinct tourism metrics:
no_tourist_all: Total number of domestic tourists visiting the province.no_tourist_foreign: Number of foreign tourists visiting the province.no_tourist_occupied: Total number of occupied hotel rooms in the province.no_tourist_thai: Number of Thai tourists visiting the province.occupancy_rate: Percentage of occupied travel accommodation in the province.revenue_all: Total revenue generated by the tourism industry in the province (in Thai Baht).revenue_foreign: Revenue generated by foreign tourists in the province (in Thai Baht).revenue_thai: Revenue generated by Thai tourists in the province (in Thai Baht).
- value: The numerical value corresponding to the
variablebeing recorded for a given date and province.
Distribution
The dataset is provided in a CSV format, containing 30,800 rows across 7 columns. It includes cleaned and ready-to-use data for 77 provinces, covering 8 distinct variables over a period of 3 years and 2 months. The file size is approximately 3.49 MB.
Usage
This dataset is ideal for analysing trends and patterns within Thailand's domestic tourism sector. It can be utilised for market research, economic impact assessments, and policy development related to tourism. Its detailed provincial and temporal breakdown allows for in-depth regional studies and time-series analyses.
Coverage
The dataset covers all 77 provinces of Thailand, providing a broad geographic scope of domestic tourism. The time range spans from January 2019 to February 2023, offering insights into recent trends. It includes demographic scope by distinguishing between Thai and foreign tourists, providing data on their respective numbers and generated revenue.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
Researchers, data analysts, and policymakers with an interest in the domestic tourism sector in Thailand will find this dataset particularly useful for their studies, reports, and strategic planning initiatives. It supports work focused on understanding market dynamics, regional development, and the economic contribution of tourism.
Dataset Name Suggestions
- Thailand Provincial Tourism Statistics (2019-2023)
- Thai Domestic Tourism Trends by Province
- Thailand Tourism: Provincial Occupancy & Revenue Data
- Monthly Thai Tourism Insights (2019-2023)
- Thailand Domestic Travel Metrics
Attributes
Original Data Source: Thai Domestic Tourism Trends by Province
QUALITY