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79th pctile
Landlord Portfolio

Lau Family Trust

11 buildings · 40 units · San Francisco

Neighborhood percentile range
98th 30th
lowest → highest risk

Lau Family Trust appears in San Francisco public records as the owner of 11 buildings covering 40 units across San Francisco. Across that portfolio we count 0 recorded violations and 89 311 complaints. The average building in this portfolio is predicted to be safer than 79% of the other buildings in its own neighborhood, ranging from the 98th percentile to the 30th — the worst record on file belongs to 467 19th Ave. 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
Lower risk: 10
Typical: 1

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

0
DBI violations
89
311 calls
4
DBI complaints
40
Total units

All Buildings

Address Grade Violations 311 calls Units
467 19th Ave Central Richmond, San Francisco 93rd 0 3 3
334-336 20th Ave Central Richmond, San Francisco 90th 0 2 2
767-769 18th Ave Central Richmond, San Francisco 89th 0 7 2
1442-1444 20th Ave Central Sunset, San Francisco 94th 0 1 2
1243 Pine St Downtown, San Francisco 64th 0 29 12
365 5th Ave Inner Richmond, San Francisco 98th 0 6 2
655 3rd Ave Inner Richmond, San Francisco 92nd 0 4 2
1697-1699 7th Ave Inner Sunset, San Francisco 96th 0 8 2
3033 Turk Blvd Lone Mountain, San Francisco 69th 0 16 4
1414 Pacific Ave Nob Hill, San Francisco 30th 0 9 7
1257-1259 46th Ave Outer Sunset, San Francisco 52nd 0 4 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 Building-to-person associations are derived from public registration data and may be incomplete, out of date, or reflect corporate entities rather than individuals.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.