Welcome to the Ski Resorts and Snow Coverage dataset! This comprehensive dataset provides information on the locations of ski resorts around the world and the snow coverage they receive throughout the winter season. Whether you're a ski enthusiast looking for the best slopes to hit or a researcher studying climate patterns, this dataset has valuable information that can help you achieve your goals.

The dataset contains detailed information on the latitude and longitude of each ski resort, as well as the elevation, average snowfall, and snow depth measurements for each resort. This information can be used to compare and contrast different ski resorts, analyze weather patterns and trends, and make informed decisions about where to plan your next winter vacation.

In addition to the data on ski resorts and snow coverage, the dataset also includes information on nearby amenities such as restaurants, hotels, and transportation options. This information can help you plan a complete winter vacation, taking into account not only the quality of the skiing but also the availability of other activities and services.

Whether you're a ski enthusiast, a travel planner, or a researcher, the Ski Resorts and Snow Coverage dataset provides a wealth of valuable information that can help you make informed decisions and gain insights into the world of winter sports.

Here are a few use cases for this project:

1. Safety Monitoring: This model could be used in ski resorts for real-time monitoring of skiers, enabling authorities to enforce helmet rules and reduce the risk of injury.

2. Sport Event Analysis: During professional ski competitions, this model might provide real-time analysis, identifying which competitors are wearing helmets and potentially categorizing them based on the type or color of their helmets.

3. Development of Smart Cameras: Integrating this model into smart cameras could enable them to automatically identify and focus on skiers with helmets, useful for specific filming or photography needs.

4. Insurance Investigations: Insurance companies might use this model to enhance their investigation process for winter sport accidents and determine if claimants were following safety protocols like wearing a helmet.

5. AI Ski Coaching: This model can be incorporated into an AI-based ski coaching system in which the model identifies if the trainee is wearing a helmet or not, providing real-time feedback, enhancing safety, and providing an all-around learning experience.

Complete dataset included in the full report. Detailed tables, regional splits, forecasts, and methodologies are available with purchase.

During the 2025-26 school year, over nine thousand high schoolers took part in alpine skiing. This figure represented a minimal decrease from the previous year.

Skiing audience profile for United States.

Alpine skiing audience profile for United States.

During the ******* school year, over ************* high schoolers took part in alpine skiing. This figure represented a minimal decrease from the previous year.

This dataset contains anonymized hourly operational data from a ski resort. Each record represents a slope-hour observation and combines skier activity, slope usage, weather conditions, and injury occurrence information. The data include variables such as number of open slopes, number of skiers, skiing duration, vertical distance, slope-use diversity, temperature, humidity, wind speed, visibility, fog, rain, snow, and a binary injury indicator. The injury variable denotes whether at least one ski injury occurred in the subsequent hour, enabling forward-looking injury risk assessment and decision-support modeling. The dataset can be used for research on ski resort safety, interpretable decision support systems, ordinal risk assessment, rare-event prediction, and monotone rule-based modeling.

Ranks an individual's likelihood to ski or snowboard, modeled based on whether the household has skis or snowboards, or has rented skis or snowboards in the last 12 months. Part of the Faraday Identity Graph, available as fig/skiing_snowboarding_enthusiast_likelihood.

The data are related to two research articles: “The relative importance of ski resort-and weather-related characteristics when going alpine skiing” [1] and “Optimal pricing of alpine ski passes in the case of crowdedness and reduced skiing capacity” [2]. A rating-based conjoint survey experiment on active alpine skiers at a big ski area located in Inland Norway was performed in February of 2018 to collect the data and pertain to 400 respondents doing more than 7200 ratings. A total of ten versions of the same questionnaire type were used to obtain information about preferences on ski resort- and weather-related characteristics when going alpine skiing. We display the raw data organized such that they can be easily downloaded and used directly to either (1) replicate the analyses performed in the related research articles, or (2) run one’s own analyses on the topic of interest. The data may also be useful to lecturers teaching students about the key concepts of survey experiments and causal modelling.

Files include XLSX records of three experimental ski runs. Each file has three datasheets that contain (i) data from the WITmotion sensors recorded with the sampling frequency of 100Hz, (ii) positioning GNSS data recorded by Garmin sensors with the sampling frequency of 1Hz, (iii) and skiing turn points detected by the GoPro video camera. Details of data processing are available in: [**] Procházka A., Charvátová H.: Wearable Sensors and Computational Intelligence in Alpine Skiing Analysis, IEEE Access, 3, 2025, 70414-70421, DOI: 10.1109/ACCESS.2025.3562686, Received: 8 April 2025, Published: 21 April 2025, Licence CC BY, ISSN: 2169-3536, https://ieeexplore.ieee.org/document/10971401;

Indicates whether someone in the household has an interest in skiing or snowboarding.

Core performance metrics for Atomic Skiing on YouTube: 59K average views, 0.47% engagement rate, 153.29% view rate over the past 90 days.

Data on 500 ski resorts around the world, including details on their location, prices, slopes, lifts, and seasons, as well as a complementary table with the snow cover around the world for each month of 2022.

This file resorts contain the columns:

ID: Unique identifier for each resort

Resort: Name of the ski & snowboard resort

Latitude: Latitude for the resort's location

Longitude: Longitude for the resort's location

Country: Country in which the resort is located

Continent: Continent in which the resort is located

Price: Ski pass cost for 1 adult for 1 day in the main season (Euro - €)

Season: Normal start and end of the ski season at the resort (note that it allways will depend on the weather and snowfall)

Highest point: Highest mountain point at the resort (meters)

Lowest point: Lowest possible point to ski at the resort (meters)

Beginner slopes: Total length of "children", "blue", and "green" slopes at the resort (km)

Intermediate slopes: Total length of "red" slopes at the resort (km)

Difficult slopes: Total length of "black", "advanced", and "expert" slopes at the resort (km)

Total slopes: Total length of slopes at the resort (km)

Longest run: Longest possible continuous run at the ski resort (km)

Snow cannons: Total amount of snow cannons at the resort

Surface lifts: Total number of surface lifts, including T-bar, Sunkidslift, Rope lifts and people mover

Chair lifts: Total number of chair lifts

Gondola lifts: Total number of gondola lifts, including Gondola, Train lifts, Funicular, Combined gondola and chairlifts, Helicopter lifts, Snowcats and Aerial tramways

Total lifts: Total number of lifts

Lift capacity: Number of passengers the resort's lift system can move in an hour

Child friendly: Is the ski resort child friendly?

Snowparks: Does the resort have one or more snowparks?

Nightskiing: Does the resort offer skiing on illuminated slopes?

Summer skiing: Does the resort offer skiing during the summer?

The file snow contain data:

Month: Date to represent the month of the year (not just the first day)

Latitude: Latitude at the center of the region (every "region" is 0.25x0.25 degrees in size)

Longitude: Longitude at the center of the region (every "region" is 0.25x0.25 degrees in size)

Snow: Percent of time the region was covered in snow during the month

502 company records matching alpine skiing brands worldwide with size bands, recorded city locations, and verified-contact coverage. Compiled by RevenueBase from its company graph.

Account activity data for Atomic Skiing on YouTube, covering posting frequency and recent engagement trends.

The Indoor Ski Simulator Market was valued at USD 1023 Million in 2025 and is projected to grow to USD 2500 Million by 2035, at a CAGR of 9.3%. Indoor Ski Simulator Market Overview: Indoor Ski Simulator Market Overview: The Indoor Ski Simulator Market Size was valued at 935.9 USD Million in 2024. The Indoor Ski Simulator Market is expected to grow from 1,023 USD Million in 2025 to 2,500 USD Million by 2035. The Indoor Ski Simulator Market CAGR (growth rate) is expected to be around 9.3% during the forecast period (2025 - 2035). Key Indoor Ski Simulator Market Trends Highlighted The Global Indoor Ski Simulator Market is witnessing significant growth driven by various factors. One of the key market drivers is the increasing interest in winter sports among urban populations, particularly in regions where natural snow is limited. This has created a demand for indoor skiing facilities that offer the thrill of winter sports without needing to travel to mountain resorts. Additionally, advancements in technology have improved the realism and overall experience of indoor Ski Simulators , making them more appealing to enthusiasts and novices alike. There are numerous opportunities to be explored in this market. For instance, partnerships between indoor ski facilities and educational institutions can introduce skiing as a sport to younger audiences.Furthermore, the growing popularity of fitness and wellness trends opens avenues for integrating Ski Simulators into fitness centers, appealing to those looking to combine leisure and exercise. Operators can also enhance User Experience by incorporating virtual reality features that simulate various skiing conditions, attracting more visitors. The trends in recent times show a shift towards sustainability, with many businesses focusing on eco-friendly practices in their operations. The incorporation of energy-efficient technologies and sustainable materials in the construction of indoor ski facilities is becoming more common. The rise of indoor adventure parks that include skiing simulations as part of a broader entertainment offering further indicates a dynamic evolution in leisure activities catering to varied preferences.Collectively, these market trends suggest promising growth potential, with projections indicating significant revenue for the industry by 2035. Source: Primary Research, Secondary Research, WGR Database and Analyst Review Indoor Ski Simulator Market Segment Insights: Indoor Ski Simulator Market Regional Insights The Global Indoor Ski Simulator Market has shown significant regional variation, with Europe leading in market valuation, valued at 400 USD Million in 2024 and projected to reach 900 USD Million by 2035. This dominance reflects the region's strong recreational culture and investment in indoor entertainment facilities. North America, also a major player, is witnessing steady growth, supported by a robust market for skiing activities and entertainment complex innovations. The Asia-Pacific (APAC) region is characterized by moderate increases, as emerging economies recognize the value of indoor ski experiences, bolstering family leisure spending.South America and the Middle East and Africa (MEA) markets experience gradual expansions, driven by increasing interest in unique recreational activities, although starting from a lower base. The trends in these regions are influenced by rising disposable incomes, urbanization, and innovation in leisure and entertainment options. Moreover, the International Association of Skiing And Snowboarding has highlighted the growing popularity of indoor skiing, which equates to favorable conditions for investment and development across these regions, demonstrating the appeal of ski simulators in diversifying recreational offerings. Source: Primary Research, Secondary Research, WGR Database and Analyst Review • North America : The North American Indoor Ski Simulator Market is driven by technological advancements like AIoT, enhancing user experiences through data analytics. Urbanization and rising disposable incomes boost demand in the entertainment and tourism sectors. Policies su

Ski Resorts is a point dataset identifying the location of ski resorts in British Columbia.

Backcountry skiing audience profile for United States.

Ski Rental Market Size and Growth Outlook

Growth Market Reports finds that the global ski rental market size in 2024 stands at USD 1.4 billion, with a robust compound annual growth rate (CAGR) of 6.2% projected through the forecast period. By 2033, the market is anticipated to reach USD 2.41 billion, driven by the increasing popularity of winter sports tourism, expanding ski resorts, and the growing trend of outdoor recreational activities. The market's expansion is underpinned by rising disposable incomes, greater accessibility to ski destinations, and the convenience offered by rental services, making skiing more attainable for a broader demographic.

One of the primary growth factors for the ski rental market is the burgeoning global interest in winter sports, particularly among millennials and Gen Z consumers. The proliferation of ski resorts in emerging markets, coupled with enhanced infrastructure and improved accessibility, has made skiing a more feasible leisure activity for people worldwide. Additionally, the ski rental market benefits from the trend of experiential travel, with tourists seeking unique and memorable adventures during their holidays. This shift has encouraged resorts and rental providers to diversify their offerings, catering to both seasoned enthusiasts and first-time skiers, thereby expanding the market's customer base.

Technological advancements in ski equipment and rental processes are further fueling market growth. Modern ski rental shops are increasingly adopting digital platforms for booking and inventory management, streamlining the rental experience for customers. Innovations such as online reservations, contactless payments, and personalized equipment recommendations based on skill level and body metrics have significantly enhanced customer satisfaction and operational efficiency. Furthermore, the integration of eco-friendly practices, such as sustainable gear and green logistics, is attracting environmentally conscious consumers, positioning the ski rental market as a progressive segment within the broader sports equipment industry.

Another significant driver is the cost-effectiveness and convenience associated with renting rather than purchasing ski equipment. For occasional skiers, especially tourists and families, renting provides access to high-quality, well-maintained gear without the burden of ownership, storage, or maintenance. This is particularly relevant in regions where skiing is a seasonal activity, and the investment in personal equipment may not be justified. The flexibility offered by rental services, including the ability to try different types of equipment and upgrade to the latest models, further enhances the appeal of ski rentals, contributing to sustained market growth.

In the realm of ski rentals, security and convenience are paramount for customers. This is where the concept of a Ski Lock comes into play. Ski Locks provide peace of mind by ensuring that rented equipment is safely secured when not in use. As ski resorts become more crowded, the risk of theft or misplacement of equipment increases, making Ski Locks an essential accessory for skiers. Rental providers are increasingly offering Ski Locks as part of their packages, enhancing customer satisfaction and trust. By integrating Ski Locks into their services, rental shops not only protect their inventory but also offer an added layer of security that appeals to cautious customers, especially those traveling with expensive gear.

Regionally, Europe continues to dominate the ski rental market, supported by its extensive network of ski resorts and a deeply entrenched ski culture. However, North America and Asia Pacific are witnessing accelerated growth, thanks to rising participation rates, government initiatives to promote winter sports tourism, and the emergence of new ski destinations. The diversification of the market across regions is fostering healthy competition and encouraging innovation among rental providers, which is expected to sustain the market's upward trajectory over the coming years.