This Parquet-formatted dataset provides comprehensive building-characteristics metadata and annual energy performance results for Washington State. The dataset comprises structured metadata and annual energy simulation outputs representing the residential building stock in Washington State. It is derived from the 2024 ResStock analysis, which utilises the AMY2018 climate data set to establish a baseline for dwelling performance. The information is organised into a Parquet file, ensuring efficient storage and rapid querying for large-scale energy modelling. It contains granular details regarding building envelope characteristics, HVAC systems, and appliance usage patterns, allowing for precise statistical analysis of regional energy consumption trends across various housing types within the state.

The download is a 4.2 MB file containing .PARQUET files.

Professionals can integrate this dataset into Python or R environments for data science tasks, or use it within energy modelling software capable of reading Parquet files. Users typically perform filtering and aggregation operations to extract specific building archetypes or regional energy patterns. By mapping the metadata against the annual energy results, analysts can conduct high-level comparative studies or validate local building performance benchmarks against the state-wide simulation averages provided in the repository.

This data is essential for energy consultants, policy researchers, and sustainability architects working on residential projects across Washington State. It serves as a benchmark for developing energy-efficiency retrofits, informing urban planning policy, or calibrating building-level energy models. The dataset is particularly valuable during the feasibility and conceptual design stages of large-scale residential developments or municipal climate action planning, providing a robust, data-driven foundation for assessing the potential impact of new construction and renovation strategies on regional energy demand.