Buildings with low open violation rates near the R train in NYC
This page helps you find buildings with low open violation rates near the R train in NYC. There are 6,500+ eligible buildings currently matching the combined filters, so you can narrow your search without starting from scratch. Openigloo pulls in building-level details, resident feedback, and open-data signals so you can compare buildings side by side. Use reviews, building pages, and tenant Q&A to spot patterns, then confirm the current situation with the super or management before you sign.
Buildings with low open violation rates near the R train in NYC
Showing 4,321–4,338 of 6,500 buildings with low open violation rates near the R train in NYC.

15 Park Row
Fulton/Seaport

375 S End Ave
Battery Park City

45-57 Davis Street
Hunters Point

250 Ashland Place
Fort Greene

116 John Street
Financial District

111 Lawrence St
Downtown Brooklyn

37 Wall Street
Financial District

330 West 56 Street
Hell's Kitchen
111 Worth Street
Tribeca

30 Park Avenue
Murray Hill
260 Gold Street
Downtown Brooklyn
28-16 Jackson Ave
Hunters Point

305 West 50 Street
Hell's Kitchen

706B Avenue Of The Americas
Flatiron

208 West 23 Street
Chelsea

365 Bond Street
Gowanus
121 Madison Avenue
NoMad

826 8 Avenue
Midtown
What to check before for buildings with low open violation rates near the R train in NYC
- Use the low-open-violations filter to focus on buildings with fewer open records at the time of Openigloo’s data refresh—still verify conditions in person.
- Narrow further with the R-train proximity filter based on the station area you’d actually commute from.
- Before touring, ask for the most recent notice history, maintenance follow-through, and who handles complaints (super vs. management).
- Compare what’s included in the monthly cost (rent plus typical move-in items like deposits/fees) so the total budget is clear, not just the asking rent.
- If you’re relying on open-data signals, ask whether any new violations were opened after the records used for the filter. Data can lag real-world conditions.