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42nd pctile
Landlord Portfolio

Patrick J & Deirdre F Stack

7 buildings · 52 units · San Francisco

Neighborhood percentile range
80th 19th
lowest → highest risk

Patrick J & Deirdre F Stack appears in San Francisco public records as the owner of 7 buildings covering 52 units across San Francisco. Across that portfolio we count 12 recorded violations and 374 311 complaints. The average building in this portfolio is predicted to be safer than 42% of the other buildings in its own neighborhood, ranging from the 80th percentile to the 19th — the worst record on file belongs to 841-863 Scott St. Every building below links to its full report: violation history, complaints, and a 12-month risk forecast from the same public data.

Risk distribution 7 properties
Lower risk: 2
Typical: 3
Higher risk: 2

Each building is rated against others in its own neighborhood, so a fixed share of every neighborhood falls in each band.

12
DBI violations
374
311 calls
7
DBI complaints
52
Total units

All Buildings

Address Grade Violations 311 calls Units
841-863 Scott St Alamo Square, San Francisco 31st 11 114 12
867-869 Fell St Hayes Valley, San Francisco 40th 1 14 7
544-546 Haight St Hayes Valley, San Francisco 80th 0 153 6
445 Ashbury St Haight Ashbury, San Francisco 67th 0 56 8
114-116 18th Ave Lake Street, San Francisco 39th 0 1 3
501 Lake St Lake Street, San Francisco 21st 0 29 8
2844 Golden Gate Ave Lone Mountain, San Francisco 19th 0 7 8

Legal notice. This page aggregates publicly available records from San Francisco agencies (DBI and others) and displays buildings registered under the name shown for tax, housing maintenance, or regulatory purposes. It is not a personal background check, consumer report, or credit report as defined by the Fair Credit Reporting Act (FCRA) or any state equivalent, and must not be used as such. Building-to-person associations are derived from public registration data and may be incomplete, out of date, or reflect corporate entities rather than individuals. Augrented makes no representation as to the accuracy or completeness of this information. Data sourced from DataSF.