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European Ski Hotel Infrastructure Data

Data Science and Analytics

Tags and Keywords

Skiing

Hotels

Europe

Resorts

Snowfall

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European Ski Hotel Infrastructure Data Dataset on Opendatabay data marketplace

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About

A collection of details for approximately 400 skiing hotels and resorts located across Europe. The resource offers essential data points for market analysis and travel planning by detailing accommodation pricing and resort infrastructure. Key metrics include the weekly price per person, the altitude of the resort, the total length of ski slopes (piste distance), the number of lifts available, and historical snowfall figures recorded during the 2020 season.

Columns

The dataset contains 24 distinct columns describing the properties and resorts:
  • Index: A numerical identifier for each entry.
  • country: The nation where the resort is situated, with Austria being the most frequently listed country (42%).
  • resort: The specific name of the ski resort.
  • hotel: The name of the specific hotel; 396 unique hotel names are present.
  • price (£): The cost in British pounds per person for one week, with values ranging from £550 to £2517.
  • distance_from_lift_(m): The proximity of the hotel to the nearest ski lift in metres.
  • altitude (m): The elevation of the resort measured in metres.
  • totalPiste (km): The overall length of ski piste distance in kilometres, averaging 220 km.
  • totalLifts: The overall count of mechanical lifts available.
  • gondolas, chairlifts, draglifts: Individual counts for these specific types of lifts.
  • blues, reds, blacks: The lengths of blue, red, and black graded ski slopes in kilometres.
  • totalRuns: The total number of slopes available.
  • link: A unique URL link associated with the hotel or resort entry.
  • sleeps: The number of people the hotel can accommodate.
  • decSnowLow2020(cm), decSnowHigh2020(cm), janSnowLow2020(cm), janSnowHigh2020(cm), febSnowLow2020(cm), febSnowHigh2020(cm): Specific recorded snowfall amounts in centimetres for December 2020, January 2020, and February 2020, separated by low and high slopes.

Distribution

The information is stored in the ski_hotels.csv file, which has a size of 87.83 kB. The structure consists of 407 valid records across 24 columns. Although many fields are fully populated, certain columns, such as snowfall metrics and distance from the lift, contain a notable number of 'unknown' values. The dataset is static and has an expected update frequency of 'Never'.

Usage

This data product is suited for applications involving sports tourism, geographic analysis, and modelling, particularly regression tasks. Ideal uses include:
  • Analysing geographical trends in resort development and altitude distribution.
  • Developing predictive models correlating pricing with infrastructure (lifts, piste distance) or 2020 snowfall levels.
  • Market research into the European ski holiday sector.
  • In-depth geographical studies focused on ski resort locations and facilities.

Coverage

The data focuses exclusively on ski resorts and hotels located in Europe. Six unique countries are represented, with the majority of entries originating from Austria. The data provides specific historical snowfall measurements for the period covering December 2020, January 2020, and February 2020.

License

CC0: Public Domain

Who Can Use It

  • Tourism Analysts: To study pricing strategies and resort characteristics across different European destinations.
  • Data Scientists: For developing regression models based on geographical and facility metrics.
  • Geographical Researchers: Interested in mapping and analysing high-altitude infrastructure and regional distribution.
  • Ski Industry Investors: Seeking market insights into lift capacity and piste offerings.

Dataset Name Suggestions

  1. European Ski Resort and Hotel Metrics
  2. 2020 European Ski Tourism Statistics
  3. European Ski Hotel Infrastructure Data

Attributes

Listing Stats

VIEWS

1

DOWNLOADS

0

LISTED

28/10/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

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Download Dataset in CSV Format