Buildings in the city of San Diego, California
6476 buildings in San Diego captured in this GIS dataset, including residential and commercial properties with detailed address information. Ideal for urban development and planning projects.
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Access comprehensive building data in San Diego with our specialized GIS dataset tailored for professionals in urban planning and architectural design. This collection comprises over 6,000 detailed entries across various locations like Reynard Way, Pacific Highway, and Kettner Boulevard. Information includes building type, exact addresses, and specific amenities such as parking and car rental facilities. Whether evaluating residential areas or assessing facilities with commercial services, this dataset offers the granularity needed for accurate and purposeful GIS analysis in San Diego.
Within the Buildings in San Diego dataset, expect to discover features such as:
- 2850, Reynard Way, San Diego, 92103
- 3302, Pacific Highway, San Diego, 92101
- 2670, Kettner Boulevard, San Diego, 92101
- 2557, Third Ave, San Diego, 92103
- 3355, Admiral Boland Way, San Diego, 92101
- 2568, Albatross Street, San Diego, 92101
- 2918, 5th Avenue, San Diego, 92103
- 2920, Zoo Drive, San Diego, 92101
- 1363, Old Globe Way, San Diego, 92101
- 1500, El Prado, San Diego, 92101
- 855, West Cedar Street, San Diego, 92101
- 222, Marina Park Way, San Diego, 92101
- 421, Grape Street, San Diego, 92101
- 220, West C Street, San Diego, 92101
- 1800, North Harbor Drive, San Diego, 92101
- 401, G Street, San Diego, 92101
- 1337 I, India Street, San Diego, 92101
- 701, A Street, San Diego, 92101
- 550, J Street, San Diego, 92101
- 1654, Columbia Street, San Diego, 92101
- 505, West Grape Street, San Diego, 92101
- 2331, 2nd Avenue, San Diego, 92101
- 1916, Third Avenue, San Diego, 92101
- 1954, 6th Avenue, San Diego, 92101
After registering for your Felt account, access your personalized interactive map presenting Buildings in San Diego. Utilize versatile tools to modify, analyze, and export data in GeoPackage format. Furthermore, explore our rich archive of pre-assembled GIS data, presenting a multitude of supplementary datasets curated for San Diego.
