Home / Landlord Profile
8th pctile
Landlord Portfolio

Healy John P & Sarah N

6 buildings · 88 units · San Francisco

Neighborhood percentile range
22nd 0th
lowest → highest risk

Healy John P & Sarah N appears in San Francisco public records as the owner of 6 buildings covering 88 units across San Francisco. Across that portfolio we count 58 recorded violations and 278 311 complaints. The average building in this portfolio is predicted to be safer than 8% of the other buildings in its own neighborhood, ranging from the 22nd percentile to the 0th — the worst record on file belongs to 4350 Kirkham 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 6 properties
Higher risk: 6

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

58
DBI violations
278
311 calls
27
DBI complaints
88
Total units

All Buildings

Address Grade Violations 311 calls Units
4350 Kirkham St Outer Sunset, San Francisco 0th 23 151 24
3090 Vicente St Outer Parkside, San Francisco 1st 20 52 24
1600 Larkin St Nob Hill, San Francisco 11th 15 43 12
409 26th Ave Central Richmond, San Francisco 22nd 0 11 8
420 20th Ave Central Richmond, San Francisco 9th 0 12 10
2141 Clement St Central Richmond, San Francisco 6th 0 9 10

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 Building-to-person associations are derived from public registration data and may be incomplete, out of date, or reflect corporate entities rather than individuals.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