For home buyers, realtors, and investors
ZIPs, counties, and tracts, ranked by what you care about.
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.
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 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.
Moving for work? Looking for an investment property? Retiring soon, but not in the big city? Searching recreational acreage? Looking for areas ripe for investment? SkaldMaps is for you.
You set the weights. We show the data. We don't tell anyone where they should or shouldn't live.
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.
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.
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
FAQ
Questions people ask before signing up.
Who is SkaldMaps for?
SkaldMaps is designed for home buyers, real estate investors, realtors, and anyone who wants a practical way to understand U.S. places through data.
We offer a large dataset of attributes across ZIPs, counties, and census tracts, with tract workflows on Expert.
Whether you're a first-time buyer trying to balance commute and school quality, an investor looking for locations with strong public-data fundamentals, or just a curious researcher, SkaldMaps gives you the data and tools to make informed decisions.
What kinds of data can I explore?
You can work with affordability, ownership costs, rent benchmarks, amenities, commute patterns, weather, school data, home price trends, and more.
We combine large sets of public and private datasets and enrich them with geospatial calculations so the same map, filter, compare, and rating workflow can work across ZIPs, counties, and tracts where supported.
The attribute reference lists the current fields, descriptions, formats, and scoring support: browse the data dictionary.
How often is the data updated?
We try to get source data updates as they get released and re-calculate our own models every time one of the source datasets changes.
For datasets like weather data, parsed amenities, geocoded locations, and calculated distances, this can happen weekly.
Larger scale updates, such as new congressional maps or census results are only released sporadically.
For the Data Engineers out there, we run a large metadata catalog that tracks these refresh intervals automatically.
What makes the rating engine different?
Instead of using a generic market score, you define the criteria, weight them, and filter the results according to your own strategy.
This allows you to find exactly what you're looking for, whether that's areas with favorable rent benchmarks and home price trends, affordable ownership costs and good schools, or a low-density rural area for a hunting property.
Why use ZIP codes as a default?
SkaldMaps supports ZIP codes, tracts, and counties, but ZIP codes are our default presentation layer.
ZIP codes are where a lot of real estate decisions actually happen. They're the level at which homes are listed, schools are assigned, and local amenities cluster.
If you’re a GIS geek, you probably know some of their limitations: ZIP codes can cross county and municipal boundaries, change over time, and were originally designed for mail delivery rather than statistical analysis - so we're actually using ZIP Code Tabulation Areas (ZCTAs).
Still, they divide most populated parts of the United States into highly detailed yet manageable geographic units - small enough to capture meaningful local variation, but large enough to keep data practical and actionable for many real-world use cases. County-level analysis, by comparison, is often too coarse and inconsistent, especially between dense urban regions and large rural counties.
They are also pragmatically consistent nationwide: whether a state uses counties, parishes, boroughs, or other local divisions, the USPS framework provides a common geographic reference familiar to consumers and businesses alike.
It also allows us to do advanced geospatial calculations, like calculating access to amenities and commute patterns based on actual road networks, at a practical nationwide scale.
That said, ZIPs are not the only useful geography. SkaldMaps now supports county views where supported and census tract workflows on Expert.
How do you compare to Regrid, LightBox, etc?
We do not offer parcel data - our focus is on area-level data and tools across ZIPs, counties, and tracts. This allows us to provide a more affordable and user-friendly product for home buyers, investors, and realtors who want to explore and understand markets before considering individual parcel research.
In other words, if you want to filter an entire state by price, schools, commute (or whatever you care about!) to find promising ZIP codes for a home search or investment thesis, SkaldMaps is built for that.
We wanted to build a tool that's useful for a homebuyer moving for work, somebody looking for an investment property, or a realtor or investor helping clients - not just for giant corporations investing millions in commercial real estate.
Nothing wrong with that: We think SkaldMaps still offers some great tools for those folks. However, if you need property lines, the good people over at those companies do great work and offer powerful tools for users who need parcel-level data and analysis.
We see SkaldMaps as complementary to those offerings - a more accessible entry point for many users, and a way to explore and understand county, ZIP, or even census tract level patterns that can inform more detailed analysis down the line.
Who is behind SkaldMaps?
SkaldMaps LLC is a small business from Georgia. Our background is in Data Engineering and Data Science, and we're passionate about making data more accessible and actionable for everyone.
Our starter plan is well within reach for regular home owners, no MLS access required.
SkaldMaps was born out of a prototype we've built for ourselves - and wound up purchasing a property based on the data it uncovered.
SkaldMaps is the grown up version of that idea - with lots more RAM needed to build our models.
If you want to talk to a human, send us a note and we'll get back to you.
What is a Skald, anyways?
Skáld is Old Norse for "poet". Skaldic verses are one of our main sources of knowledge about what we commonly refer to as "Vikings".
While "Viking" was actually a job, not a people, the Norse theme is a nod to the Norse voyages to Vinland - one of the earliest known European explorations of North America. We like the idea of a name that evokes exploration, discovery, and making sense of new lands.
It was also likely Skalds who wrote the original sagas - their names, however, are sadly lost to history.
Our logo is inspired by the Jēran rune, which broadly stands for harvest, cycles, and the fruits of labor. We liked the idea of a symbol that represents the payoff of doing the work to understand the data and make informed decisions.
As you may guess, we spend too much time on this, but I hope it gives you an idea of the spirit we want to bring to SkaldMaps.
Start exploring