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

Column	Description
ski_resort_name	Name of ski resort
2024-2025_pass	Indicates whether the resort is part of the Epic or Ikon pass system for the 2024-2025 season
state_or_province	The U.S. state or country province where the resort is located
state_or_province_abbreviation	The official abbreviation of the U.S. state or country province
country	The country where the resort is located
skiable_acres	The total skiable acres available at the resort
base_elevation_ft	The base elevation of the resort in feet
top_elevation_ft	The top elevation of the resort in feet
vertical_ft	The vertical drop at the resort - this is a derived column as the difference between top and base elevation, in feet.
trails	The total number of trails available at the resort
historical_average_snowfall_inches	The average annual snowfall in inches based on historical data, largely sourced from onthesnow.com and their data
historical_average_snowfall_days	The average number of days with snowfall per season based on historical data, largely sourced from onthesnow.com and their data
2021-2022_opening_day	The resort’s opening day for the 2021-2022 season
2021-2022_closing_day	The resort’s closing day for the 2021-2022 season
2022-2023_opening_day	The resort’s opening day for the 2022-2023 season
**2022-2023_closing_day...

A comprehensive dataset containing crowdsourced rankings of nearly all ski resorts worldwide. The dataset includes detailed information on each resort, such as location, snowfall, number of lifts and slopes, total slope length, and vertical drop. The dataset is updated regularly as more votes are collected.

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.

A total of ***** million U.S. Americans went skiing in 2024, which represented a slight increase over the previous year's figure of ***** million. Out of 2024's total, approximately *** million went cross-country skiing specifically, up from *** million in 2023.

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

Over the last five years, the ski and snowboard industry has 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. The 2023-2024 snowfall fell 10% below the 10-year average, shrinking ski seasons and pressuring 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. The industry’s revenue grew at a CAGR of 2.0% into 2025, expected to reach $4.2 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, previously booming, has screeched to a halt, with net-zero acquisitions made in 2024, signaling a shift in focus for major resorts. Smaller resorts have struggled, relying on localized weather conditions and grappling with the popularity of multi-resort passes, which siphon skiers toward more favorable resorts. Meanwhile, unionized workers have become more vocal, as evidenced by the recent strike at Park City, emphasizing worker rights and compensation demands. Revenue is expected to hold steady, with a 0.1% drop in 2025. Through 2030, the industry will climb steadily at a CAGR of 1.3%, reaching $4.4 billion. The industry is poised for a complex future, balancing economic opportunities with 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 efforts and diversify offerings to attract eco-conscious and diverse audiences, countering waning interest from younger generations. Emphasizing unique, year-round experiences and leveraging digital marketing can position resorts to capture emerging demographics and maintain resilience.

The Skiing Facilities Market Report is Segmented by Type (Ticket Office, Ski Lodge, Ski School, Restaurant/bar, And Others (Shopping, Shuttle Bus Stops, And Parking)), Distribution Channel (Online and Offline), And Geography (Asia-Pacific, Europe, North America, South America, And the Middle East). The Report Offers Market Size and Forecasts for the Skiing Facilities Market in Terms of Revenue (USD) for all the Above Segments.

In the 2020/21 winter season, the most popular skiing destination was the Alps, with trips to the mountain range representing around ** percent of global skier visits. The second most popular skiing region was America, at ** percent.

Ski Resorts & Waffle Cabin Locations Dataset

This dataset provides a detailed view into ski resorts around the world, focusing on North America and including several resorts around the world. It has specifics on their features and geographic coordinates. Additionally, it encapsulates data on Waffle Cabin locations, highlighting their franchise status and association with specific resorts.

Dataset Details:

1. Ski Resorts:

   • Source: Data was responsibly scraped from onthesnow.com. (Disclaimer: Scraping was in compliance with the site's terms of use.)
   • Columns:
     • resort_name: Name of the ski resort.
     • state: State in which the resort resides.
     • summit: Peak elevation of the resort.
     • base: Base elevation.
     • vertical: Vertical drop.
     • lifts: Total ski lifts.
     • runs: Total ski runs.
     • acres: Resort's total acreage.
     • green_percent: Percentage of beginner (green) ski runs.
     • green_acres: Acreage dedicated to green runs.
     • blue_percent: Percentage of intermediate (blue) ski runs.
     • blue_acres: Acreage dedicated to blue runs.
     • black_percent: Percentage of advanced (black) ski runs.
     • black_acres: Acreage dedicated to black runs.
     • lat: Latitude.
     • lon: Longitude.

2. Waffle Cabin Locations:

   • Source: Data was sourced from the official Waffle Cabin website.
   • Columns:
     • Location: Waffle Cabin's location title.
     • Link: Web link to the location.
     • Is Franchise?: Denotes if the location is a franchise.
     • Resort Name: Name of the associated ski resort, if applicable.

This statistic presents the average number of skiing days in Spanish ski resorts in the season 2016/2017, by mountain range. With over 140 in that winter season, the Penibaetic System was the mountain range with the highest number of skiing days.

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.

Alpine Skiing

## Overview

Alpine Skiing is a dataset for object detection tasks - it contains Ski annotations for 205 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

This dataset comprises of three tables of data scraped from OnTheSnow.com. I put together this set to have a small database to play around with in SQL and also to create some Tableau visualizations. While OnTheSnow.com has data on many more resorts than just the 85 resorts listed here, I only wanted to do some analysis comparing the multi-resort season passes provided by Vail (Epic Pass) and Alterra (Ikon pass). Each csv file contains different information about the resorts:

• skiresorts.csv contains general information about the ski resorts, such as their size, runs and offerings to skiers. Many of the values within this csv are null due to the fact that OnTheSnow just didn't list that information. For example, the "Night Skiing" column is mostly null because OnTheSnow just didn't list any information about night skiing for those resorts. For most of the null values, it is fair to assume that if a value is null, then the resort just doesn't have that thing (like night skiing). Also, the "Limited or unlimited" column provides data on whether a given pass gives limited or unlimited access to a pass holder to that resort.

• annualsnow.csv has a bunch of different metrics measuring the snowfall of a given resort during the last 10 years. I would have gone farther back in time, but OnTheSnow only provides data going this far back.

• currentseason.csv gives information on the snowfall amounts for the current 2021-2022 season up until the current date (April 8th, 2022).

Note: a lot of the numerical data is not in the correct format, and that was done on purpose in case you want to mess around with cleaning the data, or would like to eliminate data using either using or not using the metric system.

Map of Colorado Ski Resorts

Abstract copyright UK Data Service and data collection copyright owner.

Data accumulated from Consumers' Association surveys are designed to be used by the consumer. The surveys are, therefore, very specific in nature and the subjects covered diverse. The Data Archive holds 19 such surveys.
Readers are asked to note that, with the exception of the surveys on the Telephone Service - 69004, 69016, respondents surveyed are self selected from subscribers to the Association's magazine Which? and so the surveys cannot singly be used in descriptive accounts of the British public.
Surveys 69005-69012 cover various aspects of the housing experiences of Which? readers who moved house in 1967 and 1968. It is here particularly important to remember that the choice strategies and the resources of Which? readers are unlikely to be typical.
Main Topics:

Topics covered include: the resort (amenities available and respondent rating); if first time at resort, reason for choice is given; the hotel (respondent rating on a value-for-money basis); skiing facilities (i.e. instruction in English, ski-lifts, restaurants etc.) together with lay out of runs, safety restrictions etc. - assessed with all levels of skiers in mind; pre-holiday preparation (i.e. preparation for skiing - `dry-skiing' facilities used, pre-ski exercises done - assessed for usefulness); travel arrangements and cost (i.e. how booked, assessment of agency service if used, method of transportation, cost of package holiday and what the price included etc.); insurance (how arranged, cover of policy, cost of premium, satisfaction with outcome of any claims made); skiing equipment used; membership of skiing or touring clubs; previous skiing experience; main reason for going on a skiing holiday.

The size of the Skiing Facilities Market market was valued at USD 3.78 Million in 2023 and is projected to reach USD 5.09 Million by 2032, with an expected CAGR of 4.35% during the forecast period. Recent developments include: October 2023: Mountain Capital Partners (MCP) and Sandia Peak Ski Company have announced a joint venture agreement for the operation of Sandia Peak Ski Area, located near Albuquerque, New Mexico., April 2023: Mountain Capital Partners (MCP) Acquired Lee Canyon Ski Resort, located outside of Las Vegas, Nevada, from POWDR Corporation.. Key drivers for this market are: Demand for Winter Sports and Outdoor Recreation. Potential restraints include: Unpredictable Weather Conditions. Notable trends are: Increase in Ski Equipment and Supplies Stores.

Mean and SD of measured skiing speeds (km/h) of the 3 speed perception categories according to sex, age, skill level, risk taking behavior and helmet use.

BASE YEAR	2024
HISTORICAL DATA	2019 - 2023
REGIONS COVERED	North America, Europe, APAC, South America, MEA
REPORT COVERAGE	Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
MARKET SIZE 2024	3.36(USD Billion)
MARKET SIZE 2025	3.48(USD Billion)
MARKET SIZE 2035	5.0(USD Billion)
SEGMENTS COVERED	Type of Facility, Visitor Demographics, Activities Offered, Revenue Source, Regional
COUNTRIES COVERED	US, Canada, Germany, UK, France, Russia, Italy, Spain, Rest of Europe, China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC, Brazil, Mexico, Argentina, Rest of South America, GCC, South Africa, Rest of MEA
KEY MARKET DYNAMICS	growing demand for recreational activities, increased investment in entertainment sector, rising tourism and travel industry, technological advancements in snow-making, urbanization leading to indoor facilities
MARKET FORECAST UNITS	USD Billion
KEY COMPANIES PROFILED	SNO!zone, Ski Dubai, Therme Group, Ski Bro's, iFly Indoor Skydiving, Snow City, Snowworld, Alpenpark Neuss, Indoor Snow Park, Snow Planet, Mt. Hood Skibowl, Frosty Park
MARKET FORECAST PERIOD	2025 - 2035
KEY MARKET OPPORTUNITIES	Rising popularity of snow sports, Family entertainment destinations expansion, Urban developments in warm climates, Increased investment in leisure facilities, Innovative technology integration in skiing
COMPOUND ANNUAL GROWTH RATE (CAGR)	3.7% (2025 - 2035)

The global skiing equipment market is experiencing robust growth, driven by rising disposable incomes, increasing participation in winter sports, and advancements in equipment technology. The market, estimated at $10 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 5% from 2025 to 2033, reaching an estimated value of $14 billion by 2033. This growth is fueled by several key factors. Firstly, the increasing popularity of skiing and snowboarding, particularly among younger demographics, is significantly boosting demand. Secondly, technological innovations leading to lighter, more durable, and performance-enhancing equipment are attracting both amateur and professional skiers and snowboarders. Finally, the growing trend of adventure tourism and the expansion of ski resorts in emerging economies are further contributing to market expansion. Segment-wise, skis and snowboards currently dominate the market, followed by ski boots and apparel. However, the ski protection segment is witnessing significant growth due to increased awareness of safety among skiers and snowboarders. Geographically, North America and Europe currently hold the largest market share, owing to established skiing cultures and a higher concentration of ski resorts. However, Asia-Pacific is emerging as a significant growth market, fueled by rising participation in winter sports and increased investment in ski infrastructure. Despite the positive outlook, challenges such as climate change impacting snowfall and the high cost of equipment could potentially restrain market growth. The competitive landscape of the skiing equipment market is characterized by a mix of established global brands and emerging players. Key players like Rossignol, Atomic, Salomon, and Burton are leveraging their brand recognition and technological expertise to maintain market leadership. However, newer brands are entering the market with innovative products and competitive pricing, intensifying competition. The market is also witnessing a trend toward customization and personalization, with brands offering tailored equipment and services to meet individual needs. This trend, combined with the ongoing technological advancements and strategic partnerships, is shaping the future of the skiing equipment industry and propelling its continued expansion.

Discover the booming indoor ski area market! This comprehensive analysis reveals market size, CAGR, key drivers, trends, and challenges, along with a regional breakdown and leading companies. Learn about the future of year-round skiing and snowboarding.