The growth of 1.6 million additional residents will require investments in infrastructure, housing and transportation, the organization added.The numbers were provided by the group’s research team with data from the North Carolina Office of State Budget and Management and the South Carolina Department of Revenue.

Quote from @Mark Simpson: Interesting use case for ChatGPT Operator:I asked it to do a market analysis and compare a random Airbnb listing to others in the area.

They showed the property's elevation relative to the base flood elevation (BFE) for its flood zone.With Risk Rating 2.0, FEMA now uses advanced technology and data models (like topography maps, elevation data, and geospatial technology) to automatically assess elevation for rate calculations.How Elevation Impacts Rates Now- Higher Elevation = Lower Risk: Properties located at a higher elevation are less likely to flood, which generally results in lower premiums.- Lower Elevation = Higher Risk: Properties at lower elevations or in flood-prone areas typically face higher premiums.- Natural vs.

The units are pretty much turnkey, but my analysis shows that the property will barely break even.

Good morning BP,I am working with a potential off-market seller who wants to off-load their converted motel (8-units, 1 is the motel office that can be commercial space) as they retire. I've received their rent roles ...

The data from Airbnb and local realtors show that there is a huge demand for rentals due to people from New York City looking for places to escape within a 2.5 hour drive from Manhattan.

Between strict public record laws, limited access to data, and the way certain counties handle records, finding motivated sellers can feel like searching for a needle in a haystack. 

I actually look at this section when I'm doing a market analysis.

They typically will have data and newsletters as well they can send you.

There is no one that tracks the data that is legitimate source of that data,  in that short a period of time.