Clarifying scope, definitions, and assumptions for planning data. State representatives discussed the need to clarify what data should be used, how it should be scoped, and which assumptions are acceptable for local planning purposes. Clear guidance is intended to reduce uncertainty and rework.

Providing planning-ready data products rather than raw datasets. State agencies acknowledged that raw data is often too technical for local use and discussed the importance of translating data into usable formats. This includes jurisdiction-level summaries or modeled outputs that local governments can readily apply.

Using available aggregate or regional data to inform planning despite gaps. Participants described relying on the best available aggregate or regional datasets when more granular information is unavailable, particularly for transportation and energy planning. While imperfect, these datasets support policy development and long-range planning.

Lack of Granular, Planning-Ready Data for Equity and Affordability Analysis. Privacy constraints and inconsistent data formats prevent access to neighborhood- or building-scale data needed to assess energy burden, affordability impacts, and equity outcomes. Existing datasets are rarely packaged in planning-ready formats, requiring extensive local translation and limiting effective decision-making.