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Layer: Building Footprints (ID: 1)

Name: Building Footprints

Display Field: Bldg_ID

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: TXGIO developed the Building Footprints using multiple sources including:Microsoft Artificial Intelligence Version 2Open Street Map (OSM) (July 2021 version)LiDAR building footprints from 2010 to 2019The August 2021 Building Footprints from TXGIO have been used as the spatial foundation for this 2025 dataset.Estimated Number of FloorsTXGIO determined building height and roof type from LiDAR data (where available) and then estimated the number of floors in the building. This number was then used in square footage calculations used for distributing Landscan population among buildings in each Landscan cell. Estimated Floors are provided in the Buildings with population datasets as background information.Land Use Type("Simp_Type") is based on the building type from StratMap 2019 Land Parcel (TxGIO). Different Computer Automated Design (CAD) systems use different categories for the land parcel use and type. The data was assigned to simplified groupings that align with Building Category Definitions (as per the Texas Property Classification Guide).Social Vulnerability Index (SVI)The SVI ranking is the CDC's Social Vulnerability Index (2022). SVI is an index to identify census tracts that are especially at risk during public health emergencies due to factors such as socioeconomic status, household composition, minority status, or housing type and transportation. The overall track ranking summary index (RPL_THEMES field) was used.Texas Flood Social Vulnerability Index (TX F-SVI)The TX F-SVI was developed to provide information on social vulnerability to flooding. It considers factors such as socioeconomic status, household composition, minority status, housing type, and transportation. This index helps identify areas that are particularly vulnerable to flooding events and can inform flood risk management and mitigation strategies.PopulationLandscan population estimates were made available from ORNL 2019 dataset where nighttime (residential) and daytime population data are produced at 3 arc-second (~90 m) resolution. For background on Landscan data, please visit this link.Population information was distributed to building footprints based on square footage of the building in the Landscan cell. For buildings which have an estimated number of floors (based on LiDAR information from TXGIO), the square footage is the footprint square footage multiplied by the number of floors. Otherwise, the square footage is based on the footprint.Some population is unaccounted for in buildings due to some Landscan cells showing population but no building intersections.Method and Statistics for Adding PopulationThe estimated nighttime and daytime populations were derived from 2019 Landscan data. This process involved dividing buildings along Landscan cell boundaries, determining each building’s share of the Landscan cell's building area, assigning population based on that share, and then recombining the buildings.Note:Approximately 0.02% (579,918 of day population, 614,848 of night population) of the population resides in Landscan cells that do not intersect with buildings and, therefore, are not assigned to buildings in this process. This is expected and reflected in Table 1 below as “Day/Night Population without buildings”.Population data is provided in integer fields within the feature class, with values rounded at the building level.

Service Item Id: f1420a7be2944fb5971ad0c73b9a0b97

Copyright Text: This data was generated by AtkinsRéalis, using the Exposed Building Data and Flood Quilt (2024) provided by Texas Water Development Board (TWDB) Regional Flood Planning Group (RFPG). The Median DV Category was developed by WERC, using the Base Level Engineering (BLE) models, the FEMA Flood Severity Categories, TWDB RFPG Exposed Building Data, and the TWDB RFPG Flood Quilt (2024). Downloaded November 2025.

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