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42nd pctile
Landlord Portfolio

Lee/wong Marital Trust

7 buildings · 38 units · San Francisco

Neighborhood percentile range
89th 3rd
lowest → highest risk

Lee/wong Marital Trust appears in San Francisco public records as the owner of 7 buildings covering 38 units across San Francisco. Across that portfolio we count 14 recorded violations and 134 311 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 89th percentile to the 3rd — the worst record on file belongs to 121 Day 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: 3
Typical: 2
Higher risk: 2

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

14
DBI violations
134
311 calls
4
DBI complaints
38
Total units

All Buildings

Address Grade Violations 311 calls Units
121 Day St Noe Valley, San Francisco 4th 7 20 10
134 28th St Noe Valley, San Francisco 3rd 7 9 4
660-666 Guerrero St Mission Dolores, San Francisco 57th 0 34 4
170-174 Downey St Buena Vista Park/Ashbury Heights, San Francisco 39th 0 13 7
444 Valley St Noe Valley, San Francisco 49th 0 21 6
3801 Market St Noe Valley, San Francisco 51st 0 28 5
1310 32nd Ave Central Sunset, San Francisco 89th 0 9 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 Building-to-person associations are derived from public registration data and may be incomplete, out of date, or reflect corporate entities rather than individuals.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.