The data gap between cities and counties in Excel's Geography data type isn't a bug, it's a design limitation that tells us something important about how traditional spreadsheets still think. When a user converts a column of US cities to geography and instantly retrieves latitude and longitude, then tries the same with counties and finds only eight fields, none of them coordinates, the frustration is understandable. But the real problem isn't that Microsoft omitted coordinates for counties. It's that the Geography data type treats counties as administrative regions, not as spatial objects. Cities have coordinates because they are points on a map. Counties are polygons, areas with boundaries, and Excel's data model simply doesn't support returning a representative point for a polygon. This is a legacy constraint, not a technical necessity.
For the beginner or intermediate user who posted this question, the practical takeaway is that Excel's built-in geography tools are powerful but incomplete. They work well when the data type aligns with how the world is commonly mapped, cities as points, countries as areas, but fall apart for in-between entities like counties. The solution isn't to wait for Microsoft to add a coordinate field. It's to recognize that the tool you're using was designed for a world where data lived in static rows and columns, not for a world where every place should be mappable. A user with 50 counties and a column of names can still get coordinates, but it requires a workaround: use a lookup to an external data source like a county centroid table, or switch to a tool that treats every geography type as a first-class spatial object.
This is where the conversation gets interesting. The user's question reveals a broader truth: traditional spreadsheets make you adapt to their assumptions. You can get city coordinates because someone at Microsoft decided cities are point data. You cannot get county coordinates because counties are area data, and the spreadsheet doesn't know what point inside that area you want. But an AI-native spreadsheet doesn't have that blind spot. It understands that a county is a geographic entity with a centroid, a bounding box, and a shape, and it can return any of those on demand. It doesn't limit you to a preset list of fields because it generates metadata from the data itself, not from a static schema written years ago.
The user's question is a small example of a large problem: tools that ask you to fit your data into their predefined boxes. The answer isn't to learn a workaround, though that helps today. The answer is to explore tools that treat every data point as a complete object with all the properties you need, not just the ones a product manager thought to include. If a county is on the map, your spreadsheet should know where it is.