When stratifying properties or specifying models for the development of GIMs and OARs, which factor should be considered?

When stratifying properties or specifying models for the development of Geographic Information Models (GIMs) and Overall Assessment Ratios (OARs), building data is a crucial factor to consider. Building data includes comprehensive information about the physical attributes of properties, such as size, age, construction type, and condition. This information is essential because it helps assessors understand the characteristics that influence property values within different market segments.

Having accurate and detailed building data allows for more precise stratification of properties into meaningful categories. This stratification enables the assessment process to account for variations in property types and characteristics, ultimately leading to a more equitable and just assessment outcome. Understanding building data is integral to creating models that reflect the actual market conditions and property values, ensuring reliable and defendable assessments.

The other options, while potentially important in different contexts, do not directly relate to the technical execution of stratifying properties or developing models in the same way. Market demand, for example, refers more to the external economic forces at play, while tax assessments and investment return metrics are outcomes and influences of established property values rather than foundational data used in modeling and stratification.