Destinations
The method

HOW THE ADVENTURE SCORE WORKS

Every US town gets one score from 0 to 100 for outdoor adventure. It combines four things: what there is to do, the wild land around it, how well it works as a base, and whether it feels like an adventure town.

How to read a score

  • 90+A destination: people plan trips around it.
  • 75–89Excellent: a great base for one or more sports.
  • 55–74Good: worth a weekend, strong for something specific.
  • Under 55Some options nearby, but not a trip on its own.
Activities carry the most weight; the other three refine it.
What goes in

THE FOUR CATEGORIES

Activities

What there is to do, how deep it goes and how close it is: climbing areas, trails, bike parks, ski areas, surf breaks, dive sites and paddling spots. A place with one world-class sport and a couple of good ones scores high; nearby spots count much more than distant ones.

  • Best activity
  • Second activity
  • Third activity
  • Variety
  • Out the door

Wild land

Open public land around the town: national parks and forests, BLM land, wilderness, state parks and wildlife areas. More open land within reach scores higher.

  • Public land

Basecamp

Whether it works as a base: places to stay, campgrounds, food, outfitters and rental shops, and things to do on a rainy day or with kids. A handful of each is enough; a big city earns nothing extra for having hundreds.

  • Places to stay
  • Camping
  • Food
  • Kids
  • Rainy-day backups
  • Outfitters and rentals
  • Fuel and groceries

Adventure town

Whether it feels like an adventure town: lots of visitor lodging for its size and a real share of outfitters and guides, rather than a city that happens to be near the outdoors.

  • Visitor lodging per resident
  • Outdoor businesses

Sports that count

  • Climbing
  • Mountain Biking
  • Skiing
  • Surfing
  • Hiking
  • Diving
  • Kiteboarding
  • Kayaking
  • Running

Sports that make a place a destination (climbing, mountain biking, skiing, surfing) count for more than ones you can do almost anywhere.

Fair to small towns

WHY BIG CITIES DON'T WIN JUST BY BEING BIG

Nearer counts more

Spots on the edge of town count far more than ones an hour away, and nothing beyond about a two-hour drive counts at all.

Depth beats volume

A town is rated on its best sports. One world-class sport plus a couple of good ones scores higher than a long list of thin ones.

Enough is enough

Basecamp items reach full marks at small numbers. A town with a few good places to stay scores the same as a city with hundreds.

Ratios, not size

The adventure-town signals are measured per resident, so a bigger population never helps on its own.

Activities first

Hotels and restaurants only count when there is real adventure nearby. A place with nothing to do is not a basecamp.

Fixed reference points

Each sport is measured against fixed anchors from US towns of 5,000+ people, so your score does not move when another town changes.

Metro access. A large metro area with strong sports nearby but little wild land of its own and few adventure-town signals is labelled “metro access”: a good place to live near the outdoors rather than a destination. The label never changes the score.

Open data, no guessing

DATA SOURCES & LIMITS

Facts come from datasets; AI is never used to supply facts.

  • OpenStreetMap (ODbL)
    Spots, trails, lodging, camping, food and shops. © OpenStreetMap contributors.
  • OpenBeta (CC0)
    Climbing areas and routes.
  • USFS and NPS trails (public domain)
    Trail length and names on federal land.
  • Recreation.gov RIDB
    Federal campgrounds and recreation sites.
  • Overture Maps Places (CDLA-Permissive-2.0)
    Hotels, restaurants, outfitters and other businesses.
  • U.S. Census
    Places, population and ZIP code areas.
  • USGS PAD-US and OpenStreetMap protected areas
    Open public land.
  • Wikidata (CC0)
    Names and place details.

Limits

  • Mapped data is uneven. Some famous trail systems are poorly mapped and score lower than they deserve.
  • Counts reflect what is mapped, not how good it is.
  • Scores are recalculated when the data is refreshed, and the method is refined over time.