Buildings in the city of San Jose, California
With over 9,354 building records, this San Jose dataset includes essential details like building type, address, and height for urban development analysis.

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Access a comprehensive dataset of over 9,000 buildings in San Jose to enhance your GIS projects. This dataset includes detailed attributes like building type, address, and precise heights—key for urban planning and development tasks. Notable locations such as 738 Pershing Avenue and 489 Stockton Avenue, among others, are detailed with their specific building types and height measurements. Utilize this data to accurately assess and analyze the architectural landscape of San Jose for your professional needs.
Within the Buildings in San Jose dataset, expect to discover features such as:
- 777, Lenzen Avenue, San Jose, 95126
- 738, Pershing Avenue, San Jose, 95126
- 489, Stockton Avenue, San Jose, 95126
- 557, Cinnabar Street, San Jose, 95110
- 357, North Montgomery Street, San Jose, 95110
- 17, East Younger Avenue, San Jose, 95112
- 1005, North 2nd Street, San Jose, 95112
- 1114, North 1st Street, San Jose, 95112
- 90, West Younger Avenue, San Jose, 95110
- 130, Ferrari Avenue, San Jose, 95110
- 1228, Forrestal Avenue, San Jose, 95110
- 1221, North San Pedro Street, San Jose, 95110
- 1202, Santa Paula Avenue, San Jose, 95110
- 70, West Hedding Street, San Jose, 95110
- 670, Coleman Avenue, San Jose, 95110
- 715, Spring Street, San Jose, 95110
- 573, West Julian Street, San Jose, 95110
- 476, West Taylor Street, San Jose, 95110
- 441, Hobson Street, San Jose, 95110
- 663, Walnut Street, San Jose, 95110
- 151, West Mission Street, San Jose, 95110
- 35, Clayton Avenue, San Jose, 95110
- 142, Hawthorne Way, San Jose, 95110
- 16, Ayer Avenue, San Jose, 95110
Upon creation of your Felt account, access your personalized interactive map of Buildings in San Jose. Subsequently, utilize tools to customize, analyze, and export data in GeoPackage format. Moreover, dive into our extensive repository of pre-established GIS data, housing numerous supplementary datasets crafted for San Jose.







