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17th pctile
Landlord Portfolio

John E Wai 1981 Lvg Trust

8 buildings · 105 units · San Francisco

Neighborhood percentile range
66th 4th
lowest → highest risk

John E Wai 1981 Lvg Trust appears in San Francisco public records as the owner of 8 buildings covering 105 units across San Francisco. Across that portfolio we count 54 recorded violations and 751 311 complaints. The average building in this portfolio is predicted to be safer than 17% of the other buildings in its own neighborhood, ranging from the 66th percentile to the 4th — the worst record on file belongs to 1100-1128 Polk 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: 1
Typical: 1
Higher risk: 6

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

54
DBI violations
751
311 calls
80
DBI complaints
105
Total units

All Buildings

Address Grade Violations 311 calls Units
1100-1128 Polk St Downtown, San Francisco 17th 39 564 55
3735 Anza St Central Richmond, San Francisco 6th 6 28 7
5570 Mission St Outer Mission, San Francisco 4th 6 3 12
2064-2068 Mcallister St North Panhandle, San Francisco 4th 3 63 5
477-481 14th St Mission Dolores, San Francisco 30th 0 29 6
1148-1150 Masonic Ave Haight Ashbury, San Francisco 66th 0 12 2
3187-3191 Mission St Bernal Heights, San Francisco 4th 0 41 6
167-173 Fair Oaks St Noe Valley, San Francisco 5th 0 11 12

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 Building-to-person associations are derived from public registration data and may be incomplete, out of date, or reflect corporate entities rather than individuals.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