Migration Patterns Data
Make better decisions by understanding population movements and the impact they have on local communities.
Make better decisions by understanding population movements and the impact they have on local communities.
Make informed investment decisions by observing which areas are experiencing an increase in population and/or income levels.
By identifying areas with greater outflows, find out which regions are more susceptible to an economic downturn and divest or increase investments accordingly.
Leverage an understanding of population and income shifts to better predict demand across both existing and potential new markets.
By looking at the rate of moves for different areas, understand the differences in behavioral responses to nationwide events across rural, urban and suburban areas.
Why the Migration Patterns dataset is different.
We use a combination of USPS data and GPS data to provide the most reliable migration trends for our clients. Our data has been verified against third-party sources, with results proving our industry-leading accuracy.
We offer enhanced granularity starting at the zip code level, allowing for deeper, more localized insights.
Offering robust, reliable models, this dataset is optimized to remain consistent across geographies – even with supply fluctuations. We've built our models with a stratified panel approach, utilizing an immense amount of data to ensure that a representative market share is captured nationwide and to minimize fluctuations within our device coverage.
By incorporating demographic data, including income, gender, and more, this dataset provides a deep understanding of where your target audience is moving to and from.
All parties benefit from transparency in data science and location data. Therefore, we strive to be open with the methodology behind our data and ensure that our users fully understand how best to leverage each of our datasets.
With monthly updates, you can expect to make decisions based only on the most recently available data.
One thing that’s really been powerful for us is the way that the data is tagged with the source migrant’s income level enabling us to calculate affordability. Essentially what we found is that there’s more affluence coming into the state. So when we look at out of state buyers they’re coming in with 20% higher household income per Unacast data.
