100+ datasets found
  1. Epic and Ikon Ski Resorts Dataset

    • kaggle.com
    zip
    Updated Oct 28, 2024
    + more versions
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    Rummage Labs (2024). Epic and Ikon Ski Resorts Dataset [Dataset]. https://www.kaggle.com/datasets/rummagelabs/ikon-and-epic-resorts-season-statistics
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    zip(7120 bytes)Available download formats
    Dataset updated
    Oct 28, 2024
    Authors
    Rummage Labs
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    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

    ColumnDescription
    ski_resort_nameName of ski resort
    2024-2025_passIndicates whether the resort is part of the Epic or Ikon pass system for the 2024-2025 season
    state_or_provinceThe U.S. state or country province where the resort is located
    state_or_province_abbreviationThe official abbreviation of the U.S. state or country province
    countryThe country where the resort is located
    skiable_acresThe total skiable acres available at the resort
    base_elevation_ftThe base elevation of the resort in feet
    top_elevation_ftThe top elevation of the resort in feet
    vertical_ftThe vertical drop at the resort - this is a derived column as the difference between top and base elevation, in feet.
    trailsThe total number of trails available at the resort
    historical_average_snowfall_inchesThe average annual snowfall in inches based on historical data, largely sourced from onthesnow.com and their data
    historical_average_snowfall_daysThe average number of days with snowfall per season based on historical data, largely sourced from onthesnow.com and their data
    2021-2022_opening_dayThe resort’s opening day for the 2021-2022 season
    2021-2022_closing_dayThe resort’s closing day for the 2021-2022 season
    2022-2023_opening_dayThe resort’s opening day for the 2022-2023 season
    **2022-2023_closing_day...
  2. r

    Global Ski Resort Rankings Dataset

    • rank-tank.com
    • openicpsr.org
    • +2more
    csv, json
    Updated Sep 5, 2024
    + more versions
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    Rank Tank (2024). Global Ski Resort Rankings Dataset [Dataset]. https://rank-tank.com/datasets
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Sep 5, 2024
    Dataset authored and provided by
    Rank Tank
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2024
    Area covered
    Worldwide
    Variables measured
    name, rank, rating, location, elevation_top_m, location_region, number_of_lifts, location_country, number_of_slopes, number_of_matches, and 3 more
    Measurement technique
    Crowdsourcing
    Description

    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.

  3. Skiing participation in the U.S. 2010-2024

    • statista.com
    Updated Nov 26, 2025
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    Statista (2025). Skiing participation in the U.S. 2010-2024 [Dataset]. https://www.statista.com/statistics/191312/participants-in-skiing-in-the-us-since-2007/
    Explore at:
    Dataset updated
    Nov 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    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.

  4. Ski Resort

    • kaggle.com
    zip
    Updated Jul 22, 2024
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    Farheenshaukat (2024). Ski Resort [Dataset]. https://www.kaggle.com/datasets/farheenshaukat/ski-resort/code
    Explore at:
    zip(2922928 bytes)Available download formats
    Dataset updated
    Jul 22, 2024
    Authors
    Farheenshaukat
    Description

    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

  5. Ski & Snowboard Resorts in the US - Market Research Report (2016-2031)

    • ibisworld.com
    Updated Apr 15, 2025
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    IBISWorld (2025). Ski & Snowboard Resorts in the US - Market Research Report (2016-2031) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/ski-snowboard-resorts-industry/
    Explore at:
    Dataset updated
    Apr 15, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    United States
    Description

    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.

  6. m

    Skiing Facilities Market Size & Share Outlook to 2030

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Jun 17, 2025
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    Mordor Intelligence (2025). Skiing Facilities Market Size & Share Outlook to 2030 [Dataset]. https://www.mordorintelligence.com/industry-reports/skiing-facilities-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jun 17, 2025
    Dataset authored and provided by
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy

    Time period covered
    2019 - 2030
    Area covered
    Global
    Description

    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.

  7. Global Ski Market Size By Product Type (Alpine Ski Equipment, Nordic Ski...

    • verifiedmarketresearch.com
    Updated Sep 17, 2025
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    VERIFIED MARKET RESEARCH (2025). Global Ski Market Size By Product Type (Alpine Ski Equipment, Nordic Ski Equipment, Freestyle Ski Equipment), By Application (Recreational, Professional), By Distribution Channel (Offline, Online) [Dataset]. https://www.verifiedmarketresearch.com/product/ski-market/
    Explore at:
    Dataset updated
    Sep 17, 2025
    Dataset provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    Authors
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2026 - 2032
    Area covered
    Global
    Description

    Ski Market size was valued at USD 1.40 Billion in 2024 and is projected to reach USD 1.78 Billion by 2032, growing at a CAGR of 2.97% from 2026 to 2032.Global Ski Market DriversThe global ski market is carving out an impressive trajectory, propelled by a confluence of evolving consumer interests, technological advancements, and strategic investments. Far from being a niche pursuit, skiing and snowboarding are increasingly becoming mainstream activities, attracting diverse demographics and promising a frosty, yet financially warm, future. Let's explore the major forces shaping this dynamic market.Increasing Participation & Interest in Winter: A significant tailwind for the ski market is the burgeoning interest in winter sports and outdoor recreation. Younger generations, in particular, are flocking to the slopes, drawn by the thrill of adventure, the health benefits of physical activity, and the allure of unique leisure experiences. This shift isn't just about athletic prowess; it's about embracing a lifestyle that values wellness, connection with nature, and experiential travel. As winter tourism expands, with more individuals planning trips to ski resorts, the demand for everything from high-performance equipment and stylish apparel to lessons and lodging naturally escalates. This growing enthusiasm forms the bedrock of the market's sustained growth.Rising Disposable Incomes & Changing Lifestyles: Economic prosperity, especially in emerging markets, plays a crucial role in expanding the ski market's reach. As disposable incomes rise globally, more people can afford the often-considerable investment required for ski trips, including expensive gear, travel, and resort amenities. This economic uplift is coupled with evolving lifestyle trends that prioritize adventure, personal well-being, and unique, memorable experiences over material possessions. Skiing, with its blend of adrenaline, scenic beauty, and social interaction, perfectly aligns with these modern aspirations, making it an increasingly attractive option for those with the financial means and a desire for enriching leisure activities.Technological Innovation and Product Development: The ski market is a hotbed of innovation, with continuous advancements in equipment and apparel making the sport more accessible, enjoyable, and safer. Manufacturers are constantly pushing boundaries, utilizing lighter, more durable, and sustainable materials to create high-performance skis, boots, and bindings that cater to all skill levels. Safety features have also seen significant improvements, fostering greater confidence on the slopes. Beyond core equipment, the rise of smart gear incorporating wearables, GPS tracking, and tech-embedded apparel – offers enhanced performance monitoring, navigation, and personalization. This relentless drive for innovation not only attracts new participants but also encourages experienced skiers to upgrade their gear, fueling consistent market demand.

  8. m

    Data from: The relative importance of ski resort- and weather-related...

    • data.mendeley.com
    • narcis.nl
    Updated Jun 8, 2021
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    Erik Haugom (2021). The relative importance of ski resort- and weather-related characteristics when going alpine skiing: data from a rating-based conjoint survey [Dataset]. http://doi.org/10.17632/6w4tzrs3yw.1
    Explore at:
    Dataset updated
    Jun 8, 2021
    Authors
    Erik Haugom
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Alps
    Description

    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.

  9. Skiing days in Spain 2016/17, by mountain range

    • statista.com
    Updated Dec 17, 2025
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    Statista Research Department (2025). Skiing days in Spain 2016/17, by mountain range [Dataset]. https://www.statista.com/topics/3922/skiing-in-europe/
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    Dataset updated
    Dec 17, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    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.

  10. Cross country skiing participation levels among high schoolers in the U.S....

    • statista.com
    Updated Dec 3, 2025
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    Statista (2025). Cross country skiing participation levels among high schoolers in the U.S. 2012-2025 [Dataset]. https://www.statista.com/statistics/282103/participation-in-us-high-school-cross-country-skiing/
    Explore at:
    Dataset updated
    Dec 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    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.

  11. European Ski Resorts

    • kaggle.com
    zip
    Updated Feb 20, 2022
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    thomasnibb (2022). European Ski Resorts [Dataset]. https://www.kaggle.com/datasets/thomasnibb/european-ski-resorts/data
    Explore at:
    zip(15422 bytes)Available download formats
    Dataset updated
    Feb 20, 2022
    Authors
    thomasnibb
    Area covered
    Europe
    Description

    Context

    Skiing in Europe is an experience unlike any other in the world. The mountain villages, history and traditions, cultural diversity from one valley to the next, plus of course the food and drink, mix wonderfully with the huge terrain, incredible lift systems and great (artificial) snow. Spending the night in an Italian mountain rifugio or an Austrian guesthouse dating from the 1500s add layers to European ski holidays that make it unforgettable. Once you ski Europe, you will definitely be back for more.

    The number of ski resorts in Europe is massive, easily exceeding 1000. However, if you are looking for your next ski destination in Europe it is easy to get lost. Are you looking for the cheapest and best value for money ski resort? Or maybe just the biggest and most famous destinations with great lift connectivity and slopes? If you are like me, you might get overwhelmed when having to make decisions for your next holiday destination (ugh.. luxury problems). In such cases, I always like to go for a data driven approach, that will help me find an optimum solution.

    Content

    The ski resort data has been obtained from Ski-resort-stats.com as a snapshot in February 2022.

    Acknowledgements

    Thanks to Ski-resort-stats.com!

  12. Epic and Ikon Ski resorts data

    • kaggle.com
    zip
    Updated Apr 12, 2022
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    Grayson Hineline (2022). Epic and Ikon Ski resorts data [Dataset]. https://www.kaggle.com/datasets/graysonhineline/epic-and-ikon-ski-resorts-data
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    zip(27721 bytes)Available download formats
    Dataset updated
    Apr 12, 2022
    Authors
    Grayson Hineline
    Description

    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.

  13. C

    Ski Resort Map

    • data.colorado.gov
    • data.wu.ac.at
    csv, xlsx, xml
    Updated Feb 8, 2016
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    (2016). Ski Resort Map [Dataset]. https://data.colorado.gov/Recreation/Ski-Resort-Map/35wy-bjgu
    Explore at:
    xml, xlsx, csvAvailable download formats
    Dataset updated
    Feb 8, 2016
    Description

    Map of Colorado Ski Resorts

  14. c

    Skiing, 1969

    • datacatalogue.cessda.eu
    Updated Nov 29, 2024
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    Consumers' Association (2024). Skiing, 1969 [Dataset]. http://doi.org/10.5255/UKDA-SN-69001-1
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    Dataset updated
    Nov 29, 2024
    Authors
    Consumers' Association
    Area covered
    United Kingdom
    Variables measured
    Individuals, Amenity users, Consumers, Skiers, Which? (periodical) subscribers, National
    Measurement technique
    Postal survey
    Description

    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.

  15. Ski Resorts and Waffle Cabin Locations

    • kaggle.com
    zip
    Updated Oct 5, 2023
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    Dan Marino (2023). Ski Resorts and Waffle Cabin Locations [Dataset]. https://www.kaggle.com/datasets/danmarino1/ski-resorts-and-waffle-cabin-locations
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    zip(18717 bytes)Available download formats
    Dataset updated
    Oct 5, 2023
    Authors
    Dan Marino
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    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.
  16. w

    Global Ski Resort Market Research Report: By Type of Ski Resort (Alpine Ski...

    • wiseguyreports.com
    Updated Oct 12, 2025
    + more versions
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    (2025). Global Ski Resort Market Research Report: By Type of Ski Resort (Alpine Ski Resorts, Cross-Country Ski Resorts, Freestyle Ski Resorts, Snowboarding Resorts), By Skiing Season (Winter Season, Summer Season, Year-Round), By Customer Type (Families, Adventure Seekers, Corporate Groups, Couples), By Service Type (Accommodation, Ski Passes, Equipment Rentals, Ski Lessons) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2035 [Dataset]. https://www.wiseguyreports.com/reports/ski-resort-market
    Explore at:
    Dataset updated
    Oct 12, 2025
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    Oct 25, 2025
    Area covered
    North America, Alps, Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2023
    REGIONS COVEREDNorth America, Europe, APAC, South America, MEA
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 202455.3(USD Billion)
    MARKET SIZE 202556.9(USD Billion)
    MARKET SIZE 203575.0(USD Billion)
    SEGMENTS COVEREDType of Ski Resort, Skiing Season, Customer Type, Service Type, Regional
    COUNTRIES COVEREDUS, 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 DYNAMICSSeasonal demand fluctuations, Rising popularity of winter sports, Technological advancements in skiing, Increasing investment in infrastructure, Sustainability and environmental concerns
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDBoyne Resorts, Intrawest, Vail Resorts, Peak Resorts, Furano Resort, Euro Disney SCA, Deer Valley Resort, Aspen Skiing Company, ChamonixMontBlanc, Alterra Mountain Company, Snowbird, Whistler Blackcomb
    MARKET FORECAST PERIOD2025 - 2035
    KEY MARKET OPPORTUNITIESSustainable ski resort development, Expansion into emerging markets, Luxury amenities and experiences, Advanced technology integration, Year-round recreational offerings
    COMPOUND ANNUAL GROWTH RATE (CAGR) 2.8% (2025 - 2035)
  17. Mean and SD of measured skiing speeds (km/h) of the 3 speed perception...

    • plos.figshare.com
    xls
    Updated Jun 3, 2023
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    Friedrich Brunner; Gerhard Ruedl; Martin Kopp; Martin Burtscher (2023). 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. [Dataset]. http://doi.org/10.1371/journal.pone.0132002.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Friedrich Brunner; Gerhard Ruedl; Martin Kopp; Martin Burtscher
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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.

  18. Summary of skiing activity included in the study, showing distance, altitude...

    • plos.figshare.com
    xls
    Updated Aug 13, 2025
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    Davide Petrella; Lynn Ellenberger; Matthias Gilgien (2025). Summary of skiing activity included in the study, showing distance, altitude drop, average and maximum speed, and duration of the activity for the two recreational skiers. [Dataset]. http://doi.org/10.1371/journal.pone.0327896.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Aug 13, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Davide Petrella; Lynn Ellenberger; Matthias Gilgien
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Summary of skiing activity included in the study, showing distance, altitude drop, average and maximum speed, and duration of the activity for the two recreational skiers.

  19. S

    Skiing Facilities Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 21, 2025
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    Market Report Analytics (2025). Skiing Facilities Market Report [Dataset]. https://www.marketreportanalytics.com/reports/skiing-facilities-market-93781
    Explore at:
    pdf, doc, pptAvailable download formats
    Dataset updated
    Apr 21, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2026 - 2034
    Area covered
    Global
    Variables measured
    Market Size
    Description

    Discover the booming Skiing Facilities Market projected to reach $5.3 Billion by 2033! This in-depth analysis explores market drivers, trends, restraints, and key players like Vail Resorts and Aspen Skiing Company, covering North America, Europe, and beyond. Learn about the CAGR, regional breakdowns, and future growth potential. 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: Demand for Winter Sports and Outdoor Recreation. Notable trends are: Increase in Ski Equipment and Supplies Stores.

  20. w

    Global Indoor Ski Area Market Research Report: By Type of Facility (Indoor...

    • wiseguyreports.com
    Updated Aug 23, 2025
    + more versions
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    (2025). Global Indoor Ski Area Market Research Report: By Type of Facility (Indoor Ski Resorts, Ski Parks, Ski Training Centers, Ski Entertainment Venues), By Visitor Demographics (Families, Professionals, Tourists, Adventure Seekers), By Activities Offered (Skiing, Snowboarding, Ski Lessons, Snow Play Areas), By Revenue Source (Admission Fees, Equipment Rentals, Food and Beverage Sales, Merchandising) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2035 [Dataset]. https://www.wiseguyreports.com/reports/indoor-ski-area-market
    Explore at:
    Dataset updated
    Aug 23, 2025
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    Aug 25, 2025
    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2023
    REGIONS COVEREDNorth America, Europe, APAC, South America, MEA
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 20243.36(USD Billion)
    MARKET SIZE 20253.48(USD Billion)
    MARKET SIZE 20355.0(USD Billion)
    SEGMENTS COVEREDType of Facility, Visitor Demographics, Activities Offered, Revenue Source, Regional
    COUNTRIES COVEREDUS, 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 DYNAMICSgrowing 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 UNITSUSD Billion
    KEY COMPANIES PROFILEDSNO!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 PERIOD2025 - 2035
    KEY MARKET OPPORTUNITIESRising 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)
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Rummage Labs (2024). Epic and Ikon Ski Resorts Dataset [Dataset]. https://www.kaggle.com/datasets/rummagelabs/ikon-and-epic-resorts-season-statistics
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Epic and Ikon Ski Resorts Dataset

Dataset created with Rummage Labs about Epic and Ikon Ski Resorts

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zip(7120 bytes)Available download formats
Dataset updated
Oct 28, 2024
Authors
Rummage Labs
License

https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

Description

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

ColumnDescription
ski_resort_nameName of ski resort
2024-2025_passIndicates whether the resort is part of the Epic or Ikon pass system for the 2024-2025 season
state_or_provinceThe U.S. state or country province where the resort is located
state_or_province_abbreviationThe official abbreviation of the U.S. state or country province
countryThe country where the resort is located
skiable_acresThe total skiable acres available at the resort
base_elevation_ftThe base elevation of the resort in feet
top_elevation_ftThe top elevation of the resort in feet
vertical_ftThe vertical drop at the resort - this is a derived column as the difference between top and base elevation, in feet.
trailsThe total number of trails available at the resort
historical_average_snowfall_inchesThe average annual snowfall in inches based on historical data, largely sourced from onthesnow.com and their data
historical_average_snowfall_daysThe average number of days with snowfall per season based on historical data, largely sourced from onthesnow.com and their data
2021-2022_opening_dayThe resort’s opening day for the 2021-2022 season
2021-2022_closing_dayThe resort’s closing day for the 2021-2022 season
2022-2023_opening_dayThe resort’s opening day for the 2022-2023 season
**2022-2023_closing_day...
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