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38th pctile
Landlord Portfolio

Silverman Govan Tr

7 buildings · 29 units · San Francisco

Neighborhood percentile range
90th 12th
lowest → highest risk

Silverman Govan Tr appears in San Francisco public records as the owner of 7 buildings covering 29 units across San Francisco. Across that portfolio we count 9 recorded violations and 844 311 complaints. The average building in this portfolio is predicted to be safer than 38% of the other buildings in its own neighborhood, ranging from the 90th percentile to the 12th — the worst record on file belongs to 3986 23rd 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: 1
Higher risk: 4

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

9
DBI violations
844
311 calls
5
DBI complaints
29
Total units

All Buildings

Address Grade Violations 311 calls Units
3986 23rd St Noe Valley, San Francisco 12th 9 0 3
396-398 Frederick St Cole Valley/Parnassus Heights, San Francisco 45th 0 203 3
436 Cole St Haight Ashbury, San Francisco 90th 0 14 2
41-43 Carl St Cole Valley/Parnassus Heights, San Francisco 59th 0 71 4
3972-3976 23rd St Noe Valley, San Francisco 24th 0 14 7
491-497 Alvarado St Noe Valley, San Francisco 23rd 0 22 4
300 2nd Ave Inner Richmond, San Francisco 12th 0 520 6

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 Building-to-person associations are derived from public registration data and may be incomplete, out of date, or reflect corporate entities rather than individuals.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.