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.

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

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).

A total of ***** million U.S. Americans went skiing in 2025, which represented a slight increase over the previous year's figure of ***** million. Out of 2025's total, approximately *** million went cross-country skiing specifically, up from *** million in 2023.

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.

Dataset

This dataset was created by Aryan Juyal

Contents

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.

ski resort ranking

In the 2020/21 skiing season, nearly a quarter of all global skiers came from Western Europe, with a further ** percent originating from Alpine countries alone. Meanwhile, ** percent of global skiers came from America.

Map of Colorado Ski Resorts

In the 2018/19 skiing season, around ** percent of all ski resorts worldwide were located in Alpine countries, more than any other region. Meanwhile, ** percent of global ski resorts were located in America.

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.

Cross-country skiing audience profile for United States.

The number of people who visited ski resorts in Spain declined to *** million in the 2023/2024 season, dropping from the more than *** million registered in the previous two years.

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

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.

Graph and download economic data for Total Revenue for Skiing Facilities, All Establishments, Employer Firms (REVEF71392ALLEST) from 1998 to 2022 about sport, recreation, employer firms, accounting, revenue, establishments, services, and USA.

DNR-designated Ski Trails are the trails specifically designated for Cross-Country Skiing. Some ski trails are groomed while others are not. Other uses may exist including, but not limited to, motorized vehicles, hiking pathways, equestrian trails, etc. The trails are located on State, Federal, County, Local, and Private Lands. For questions email the DNR at DNR-Trails@michigan.gov.

In the 2020/21 winter season, 36 percent of Liechtenstein's population participated in skiing, representing the highest share of any country in Western Europe. Meanwhile, around 35 percent of the Swiss population skied in the same year.

United States - Total Revenue for Skiing Facilities, All Establishments, Employer Firms was 3665.00000 Mil. of $ in January of 2022, according to the United States Federal Reserve. Historically, United States - Total Revenue for Skiing Facilities, All Establishments, Employer Firms reached a record high of 3665.00000 in January of 2022 and a record low of 1391.00000 in January of 1998. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Total Revenue for Skiing Facilities, All Establishments, Employer Firms - last updated from the United States Federal Reserve on August of 2026.