Buildings with low open violation rates near NewYork-Presbyterian in NYC
Find buildings with low open violation rates near NewYork-Presbyterian in NYC. This Openigloo page pulls 1,434+ buildings that match both filters: low open violations and the NewYork-Presbyterian area scope. Use Openigloo to narrow faster with building-level review signals, plus open-data indicators for violations. You can also read tenant Q&A and ask follow-ups on maintenance, inspections, and how issues get handled in day-to-day life before you sign a lease.
Buildings with low open violation rates near NewYork-Presbyterian in NYC
Showing 865–882 of 1,434 buildings with low open violation rates near NewYork-Presbyterian in NYC.

50 Murray Street
Tribeca

245 East 63 Street
Lenox Hill

88 Fulton Street
Fulton/Seaport

100 Maiden Lane
Financial District
90 John St
Financial District

71 Broadway
Financial District

15 Park Row
Fulton/Seaport

116 John Street
Financial District

37 Wall Street
Financial District
111 Worth Street
Tribeca

19 Dutch Street
Fulton/Seaport
90 West Street
Financial District

225 East 63 Street
Lenox Hill
15 Cliff Street
Fulton/Seaport
200 East 72 Street
Lenox Hill
201 East 69 Street
Lenox Hill
75 Wall Street
Financial District
525 East 72 Street
Lenox Hill
What to check before for buildings with low open violation rates near NewYork-Presbyterian in NYC
- Focus on building-level signals for open violations, then cross-check with what tenants say about maintenance follow-through and response times.
- Confirm the current unit’s specifics (condition at move-in, any active notices, and repair timelines) directly with the super/management before applying.
- Check lease terms that affect risk and logistics: renewal language, move-in/move-out rules, and how requests are logged and tracked.
- Ask about the building’s repair process for recurring issues (heat/water, pests, mold) and whether they keep documentation of completed work.
- If a building looks like it has fewer open violations, still request records for any recent closures and verify timelines, since conditions can change between data updates.