Data that's normally scattered across dozens of sources.
Ownership costs, schools, weather, broadband, and hospital access all live in different places - in different formats, at different geographic scales.
For home buyers, realtors, and investors
ZIPs, counties, and tracts, ranked by what you care about.
SkaldMaps gives you over 473 attributes to explore, filter, and rank thousands of locations across the country. Stop using generic "Top 10" lists to find the best neighborhoods or hottest markets - build your own that actually fits your needs.
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33k+ ZIPs Every U.S. ZIP code analyzed.
3k+ Counties Over 3,300 US counties mapped.
85k+ Tracts Every US census tract available for deep dives.
50 States Nationwide coverage.
470+ Data fields - from ownership costs and rent benchmarks to schools and weather.
60+ Distinct categories of data to explore and rank.
What SkaldMaps does
Location Intelligence, accessible for everyone.
Whether you're figuring out where to buy a single family home, rent an apartment, helping a client pick a market, or screening areas to invest in - SkaldMaps brings housing, schools, weather, commute, healthcare access, broadband, demographics, and a dozen more categories of data together on one map of ZIPs, counties, and census tracts.
Our rating engine is the heart of it: pick the criteria you care about, set how much each one matters, and we find the areas that match your goals. Save the model, refine it, reuse it. The ranking is yours - not someone else's top-10 list.
SkaldMaps defaults to screening ZIP codes. Switch to counties when you need the bigger picture, or drill down to census tracts for a local view.
Our data set currently has 473 fields: Anything from demographics, market signals, locations of amenities like retail or healthcare to custom scores and quality indicators. Find the perfect place for you.
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Why SkaldMaps
Why not just Google it?
Because the data lives in dozens of different places - and a generic "Top 10 Suburbs of Minneapolis" list isn't necessarily what you're actually looking for.
We did the math.
We pull the data together, map non-ZIP data to the ZIP (or county or even census tract, if you prefer) level using geospatial calculations, and build derived signals on top: access scores, affordability ratios, custom indices. One question instead of twenty.
Filter the country, not just one city.
"Show me every ZIP in Georgia under $400k where schools beat the state average and a hospital is within 10 miles and I'm within 20 miles of my office"? Try that elsewhere.
Your priorities, your ranking.
Generic top-10 lists rank places with a fixed formula. Yours maybe weighs commute and broadband access higher than nightlife (and maybe it doesn't) - so we let you set the weights yourself.
What you can do with it
Three steps, one map.
Explore the map, rank locations by your own weights, and filter the results down to a shortlist that fits.
Explore the map
See the whole state at a glance - then switch geography when needed.
Open any state and color the map by ownership costs, schools, weather, or any of 400+ data fields. ZIPs are the default, but the same workflow can run on county views where supported and census tracts on Expert.
- ZIP, county, and tract views from the same map workflow
- Overlay any data field on the map in one click
- Compare adjacent locations before you commit to a market
Filter the map
Filter the map down to areas that actually fit.
Hide everything that doesn't fit. Show only ZIPs, counties, or tracts under your price ceiling, with broadband, near a hospital, where winters don't drop below 30°F. Combine as many filters as you want, on top of any ranking.
- Compound filters across affordability, schools, weather, broadband, distances
- Layer filters on top of your ranking
- Stay on the map - no spreadsheet exports needed
Build your own ranking
Rank every area by what you care about.
Pick the things that matter - say, low price, top-quartile schools, short commute, hospital within 10 miles. We rank every area in the selected geography by your weights and show you the top fits. Save it. Tweak it. Reuse it for the next search.
- You set the weights - we don't hand you a generic score
- Pick any number of data points, tell us if they're must-haves or just nice-to-haves, and we'll rank the areas accordingly
- Go in either direction: You want low population density, but being close to a specific city is a must? We can do that.
Who it helps
Who is this for?
Home buyers
Find ZIPs you can afford where the schools beat the state average, the commute fits, and a hospital isn't an hour away. You set the priorities - we show the data.
- Find ZIPs you can afford where schools beat the state average
- Filter out places that look great until you see the commute
- Stop bookmarking towns at random - start with a ranked shortlist
Real estate investors
Find the right market before you go property-level. Screen down to the tract level by home price trends, rent benchmarks, and affordability ratios - and know where to look before you need MLS access.
- Screen all 33,000 ZIPs (or 85,000+ census tracts) by market signals you'd normally stitch together yourself
- Weigh appreciation, rent benchmarks, affordability, and access by your thesis
- Save one model per target area, run it across states
Realtors and agents
Before you pull comps, you need to know which market to pull them in. Use SkaldMaps to research where a relocation client should be looking - schools, ownership costs, weather, and access - without starting from a blank map.
- Research area fit before the MLS search starts
- Compare markets by the criteria your client actually cares about
- Show clients why you picked these areas - not just a gut feel
Curious researchers
Explore how schools, weather, broadband, affordability, and amenities cluster across the country - without stitching together a dozen data sources yourself.
- Browse the country through layered datasets
- Inspect how signals cluster across metros and states
- Move from curiosity to a saved ranking model
Start exploring