Home / Landlord Profile
17th pctile
Landlord Portfolio

Bypass Trust

11 buildings · 34 units · San Francisco

Neighborhood percentile range
44th 3rd
lowest → highest risk

Bypass Trust appears in San Francisco public records as the owner of 11 buildings covering 34 units across San Francisco. Across that portfolio we count 3 recorded violations and 231 311 complaints. The average building in this portfolio is predicted to be safer than 17% of the other buildings in its own neighborhood, ranging from the 44th percentile to the 3rd — the worst record on file belongs to 1595 Noe 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 11 properties
Typical: 2
Higher risk: 9

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

3
DBI violations
231
311 calls
9
DBI complaints
34
Total units

All Buildings

Address Grade Violations 311 calls Units
1595 Noe St Noe Valley, San Francisco 3rd 2 16 9
710 46th Ave Outer Richmond, San Francisco 3rd 1 0 2
262 11th Ave Inner Richmond, San Francisco 13th 0 8 2
1734 9th Ave Inner Sunset, San Francisco 15th 0 19 4
1455-1457 18th Ave Inner Sunset, San Francisco 11th 0 29 2
1334-1336 Funston Ave Inner Sunset, San Francisco 10th 0 61 0
1361-1365 Grove St North Panhandle, San Francisco 44th 0 11 3
740-742 47th Ave Outer Richmond, San Francisco 9th 0 17 2
1-9 Vega St Anza Vista, San Francisco 17th 0 58 5
1911 Sacramento St Pacific Heights, San Francisco 41st 0 12 2
2947-2949 Clement St Central Richmond, San Francisco 16th 0 0 3

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 Building-to-person associations are derived from public registration data and may be incomplete, out of date, or reflect corporate entities rather than individuals.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