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36th pctile
Landlord Portfolio

Chin Peter & Lai Susan

8 buildings · 32 units · San Francisco

Neighborhood percentile range
84th 7th
lowest → highest risk

Chin Peter & Lai Susan appears in San Francisco public records as the owner of 8 buildings covering 32 units across San Francisco. Across that portfolio we count 53 recorded violations and 398 311 complaints. The average building in this portfolio is predicted to be safer than 36% of the other buildings in its own neighborhood, ranging from the 84th percentile to the 7th — the worst record on file belongs to 3632-3634 16th 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 8 properties
Lower risk: 2
Typical: 2
Higher risk: 4

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

53
DBI violations
398
311 calls
17
DBI complaints
32
Total units

All Buildings

Address Grade Violations 311 calls Units
3632-3634 16th St Duboce Triangle, San Francisco 8th 29 18 4
379 Naples St Excelsior, San Francisco 17th 15 160 2
588-596 28th Ave Central Richmond, San Francisco 25th 9 41 5
455 London St Excelsior, San Francisco 80th 0 27 2
4943-4949 17th St Cole Valley/Parnassus Heights, San Francisco 33rd 0 6 4
131-135 Central Ave Haight Ashbury, San Francisco 32nd 0 1 6
514-516 Vermont St Potrero Hill, San Francisco 84th 0 52 2
1367-1369 Rhode Island St Potrero Hill, San Francisco 7th 0 93 7

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 Building-to-person associations are derived from public registration data and may be incomplete, out of date, or reflect corporate entities rather than individuals.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