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32nd pctile
Landlord Portfolio

Eugene Leung & Charlene Lee

7 buildings · 40 units · San Francisco

Neighborhood percentile range
77th 11th
lowest → highest risk

Eugene Leung & Charlene Lee appears in San Francisco public records as the owner of 7 buildings covering 40 units across San Francisco. Across that portfolio we count 10 recorded violations and 263 311 complaints. The average building in this portfolio is predicted to be safer than 32% of the other buildings in its own neighborhood, ranging from the 77th percentile to the 11th — the worst record on file belongs to 622-624 Shrader 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: 1
Typical: 3
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
263
311 calls
8
DBI complaints
40
Total units

All Buildings

Address Grade Violations 311 calls Units
622-624 Shrader St Haight Ashbury, San Francisco 11th 6 46 10
2455 Ofarrell St Anza Vista, San Francisco 13th 4 21 9
186-188 Jersey St Noe Valley, San Francisco 31st 0 27 4
1043-1049 Noe St Noe Valley, San Francisco 26th 0 34 4
5650-5652 Mission St Outer Mission, San Francisco 77th 0 80 5
116-122 Vicksburg St Noe Valley, San Francisco 32nd 0 6 4
291-297 18th Ave Central Richmond, San Francisco 37th 0 49 4

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 Building-to-person associations are derived from public registration data and may be incomplete, out of date, or reflect corporate entities rather than individuals.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