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31st pctile
Landlord Portfolio

Ayanian Trust

6 buildings · 16 units · San Francisco

Neighborhood percentile range
59th 5th
lowest → highest risk

Ayanian Trust appears in San Francisco public records as the owner of 6 buildings covering 16 units across San Francisco. Across that portfolio we count 10 recorded violations and 379 311 complaints. The average building in this portfolio is predicted to be safer than 31% of the other buildings in its own neighborhood, ranging from the 59th percentile to the 5th — the worst record on file belongs to 1028-1032 Steiner 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 6 properties
Lower risk: 2
Typical: 1
Higher risk: 3

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

10
DBI violations
379
311 calls
16
DBI complaints
16
Total units

All Buildings

Address Grade Violations 311 calls Units
1028-1032 Steiner St Western Addition, San Francisco 23rd 7 0 6
380-382 Day St Noe Valley, San Francisco 55th 2 8 2
3825-3829 Mission St Bernal Heights, San Francisco 5th 1 324 2
430 Murray St Bernal Heights, San Francisco 40th 0 7 2
3831-3835 Mission St Bernal Heights, San Francisco 6th 0 2 2
1351-1353 44th Ave Outer Sunset, San Francisco 59th 0 38 2

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 Building-to-person associations are derived from public registration data and may be incomplete, out of date, or reflect corporate entities rather than individuals.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