Epic and Ikon Ski Resorts 2024-2025 Dataset

A dataset of ski resorts associated with the Epic and Ikon ski passes for the 2024-2025 season. Note that this includes Epic and Ikon resorts as well as partner resorts (e.g., resorts offering limited days access). The dataset includes key information about the resorts, such as their geographical location, skiable acres, elevation, trail count, average snowfall, and historical opening and closing dates. This data provides an overview of the ski season performance and features of these resorts. It's intended for analysis, research, and educational purposes, especially for ski enthusiasts, industry analysts, or travelers planning their next trip.

About Epic and Ikon Ski Passes

Epic and Ikon are two of the most prominent ski passes in North America, offering access to a large network of ski resorts worldwide. The Epic Pass, managed by Vail Resorts, and the Ikon Pass, managed by Alterra Mountain Company, allow skiers and snowboarders to explore resorts across multiple countries with a single pass. For more information, visit the official pages for Epic Pass and Ikon Pass.

Dataset Information

• Source: This dataset compiles information from public resources, including official ski resort websites, official ski resort social media (for opening/closing dates), Epic Pass and Ikon Pass websites, Wikipedia, OnTheSnow, SnowPak, and other public sources. Cells are each derived from one or more sources and then selected/verified. Some quantitative columns (e.g., vertical_ft, ski_season_length_days) are derived from other columns within the dataset.
• Purpose: This dataset is intended for analysis, research, and educational use, such as exploring trends in ski resort operations, snowfall patterns, and season lengths.
• Accuracy: While the dataset has been created with a focus on precision, there may be variations in specific resort data. For critical use, cross-checking with official resort websites is recommended.
• Notes: Southern Hemisphere seasons are assigned to the season ending year (e.g., Jun-Aug 2024 Southern Hemisphere season is assigned to 2023-2024 ski season)

Data Structure

Dataset Columns

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.

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

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In the ******* school year, more than ***** high school students in the United States took part in cross country skiing, with participation nearly evenly split between boys and girls. However, this marked a decline of around ***** percent compared to the previous school year.

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Over the last few years, ski and snowboard resorts have faced many challenges and opportunities. As climate change takes its toll, snowfall levels across the US have steadily decreased, disrupting traditional winter sports seasons and raising resort operational costs. As snowfall levels decline each year, ski seasons are shrinking, putting pressure on resorts to invest heavily in snowmaking to maintain viable operations. Technological advancements have allowed resorts to streamline operations, enhance skier experiences and foster customer loyalty. Smaller resorts are especially vulnerable as larger companies fight for market dominance through acquisitions and multi-resort season passes. Revenue grew at a CAGR of 1.6% through 2026, with 0.3% growth that year, to total $4.4 billion. Weather volatility and technology have been the industry's primary drivers in recent years. The reliance on snowmaking systems has become crucial, presenting a financial and environmental burden for resorts striving to deliver consistent skiing conditions. Consolidation, which had been booming, has screeched to a halt, with no net-zero acquisitions in 2024, signaling a shift in focus for major resorts. Smaller resorts have struggled, relying on local weather and grappling with the popularity of multi-resort passes, which siphon skiers to more favorable resorts. Meanwhile, unionized workers have become more vocal, as evidenced by the recent strike at Telluride, which has emphasized worker rights and compensation demands. Revenue is expected to hold steady, with a 0.1% drop in 2025. Through 2031, the industry will climb steadily at a CAGR of 0.7%, reaching $4.5 billion. Ski resorts will face a complex future of economic and climate challenges. As disposable incomes rise and the global economy recovers, resorts can anticipate an influx of visitors keen to explore winter sports. However, maximizing revenue amid soaring lift ticket costs will be a persistent challenge. The growing fitness trend offers a potential boon, with active millennials and Gen Z fueling demand for year-round recreational options. To thrive, resorts can strategically invest in sustainability initiatives and diversify their offerings to attract eco-conscious and diverse audiences, countering waning interest among younger generations. Emphasizing unique, year-round experiences and leveraging digital marketing can position resorts to capture emerging demographics and maintain resilience.

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