161 Perry StreetRecorded sales & closing prices
161 Perry Street, New York, NY 10014
30 recorded transfers, 2004–2026. Sortable and searchable below.
Co-ops are normally measured by price per room, since square footage is not officially recorded for them. This building is shown in price per square foot because most of its sales carry documented footage, which makes the sharper measure the honest one here.
- Recorded transfers
- 30
- Date range
- 2004–2026
- Median $/sf
- $1,146
- Listing discount
- 2.7%
- Monthly carry/sf
- $1.79
- Price range
- $750K – $3.95M
Change in the building’s median $/sf over each window, adjusted to a floor-adjusted basis — standardized to the building’s average floor, so it reflects price rather than which floors happened to sell. (2022 marks the rate-shock inflection.) Like-for-like repeat-sale figures to follow.
Co-op pricing is read on a per-room basis, and 161 Perry trades as a boutique loft cooperative — large, high-ceilinged units, industrial-building character, and contained carrying costs relative to the new-construction condos on the same block. With roughly 21 residences, resale volume is thin: a small number of closings in an active year, skewing toward larger loft layouts. Demand here is driven by the waterfront block, the loft scale, and the value a co-op structure offers against the neighboring condominium tier. When underwriting a purchase or a list price, capture the room count, the floor, the exposure, and the renovation condition rather than relying on a neighborhood average.
The complete recorded-sale history for 161 Perry Street, compiled from NYC Department of Finance transfer records and verified listing data, then enriched apartment-by-apartment by The Roebling Team research desk. Across sales with a public asking price, the building carries a median listing discount of 2.7% from the last ask — a recurring negotiation gap worth pricing into any offer or listing strategy here.
Price per square foot over time
16 sales with a known square footage, by closing date.
Recent closings
The building’s 10 most recent market sales.
| Date | Unit | Apartment | Price | $/sf | vs. Ask |
|---|---|---|---|---|---|
| Jan 15, 2026 | ELEV | $585,493 | — | ||
| Dec 19, 2025 | 5A | 3 BR · 3 BA | $3,950,000 | -1.2% | |
| Dec 4, 2025 | 1D | 1 BR · 1 BA | $1,450,000 | +1.0% | |
| Jan 16, 2024 | 3D | 1 BR · 1 BA | $999,000 | — | |
| Mar 27, 2023 | 1A | 1 BR · 2 BA · 1,800 sf | $2,062,500 | $1,146 | -6.3% |
| Mar 19, 2021 | 3B | 2 BR · 2 BA | $1,900,000 | -23.8% | |
| Jun 22, 2020 | 3D | 1 BR · 1 BA | $915,000 | +1.8% | |
| May 22, 2020 | 5D | 1 BR · 1 BA | $995,000 | +0.0% | |
| May 4, 2018 | 6 | $18,000,000 | — | ||
| Apr 27, 2018 | 1C | 2 BR · 1.5 BA · 1,350 sf | $2,550,000 | $1,889 | -7.3% |
The retrade record
Lines that have changed hands more than once in the public record — the building’s appreciation arc, apartment by apartment.
Every recorded sale
Sort any column; filter by unit or keyword. Prices are the recorded transfer amount at the NYC Department of Finance. Every sale sits in one of three states: counted in the building’s medians and trend; shown but excluded as a non-arms-length or nominal transfer; or shown and ⚑ flagged for review — a possible duplicate filing or an extreme $/sf outlier, held out of the statistics pending manual verification rather than allowed to move them.
| Apartment | ||||||
|---|---|---|---|---|---|---|
| Jan 15, 2026 | ELEV | — | $585,493 | — | — | |
| Dec 19, 2025 | 5A | 3 BR · 3 BA | — | $3,950,000 | — | -1.2% |
| Dec 4, 2025 | 1D | 1 BR · 1 BA | — | $1,450,000 | — | +1.0% |
| Jan 16, 2024 | 3D | 1 BR · 1 BA | — | $999,000 | — | — |
| Mar 27, 2023 | 1A | 1 BR · 2 BA | 1,800 | $2,062,500 | $1,146 | -6.3% |
| Mar 19, 2021 | 3B | 2 BR · 2 BA | — | $1,900,000 | — | -23.8% |
| Jun 22, 2020 | 3D | 1 BR · 1 BA | — | $915,000 | — | +1.8% |
| May 22, 2020 | 5D | 1 BR · 1 BA | — | $995,000 | — | +0.0% |
| May 4, 2018 | 6 | — | $18,000,000 | — | — | |
| Apr 27, 2018 | 1C | 2 BR · 1.5 BA | 1,350 | $2,550,000 | $1,889 | -7.3% |
| Apr 23, 2018 | 6 | — | $656,160 | — | — | |
| Jan 9, 2017 | 1D | 1 BR | 1,010 | $1,250,000 | $1,238 | -10.4% |
| Jul 29, 2016 | 5A | 3 BR | — | $2,850,000 | — | -1.6% |
| Feb 25, 2015 | 1E | 2 BR · 2 BA | 1,350 | $2,000,000 | $1,481 | -17.5% |
| Jan 20, 2015 | 1C | 1 BR | 1,350 | $2,425,000 | $1,796 | -13.4% |
| Oct 21, 2013 | 1A | 1 BR | 1,800 | $2,000,000 | $1,111 | -16.5% |
| Jun 29, 2012 | 3D | 1 BR | 775 | $925,000 | $1,194 | -2.6% |
| Mar 21, 2012 | 5C | 2 BR | 1,600 | $1,800,000 | $1,125 | — |
| Jan 25, 2010 | 1A | 1 BR | 1,800 | $1,495,000 | $831 | -21.1% |
| Jan 20, 2010 | 3A | 2 BR | 1,600 | $1,550,000 | $969 | -2.8% |
| Dec 19, 2008 | 1C | 1 BR | 1,350 | $1,550,000 | $1,148 | -2.8% |
| Jul 8, 2008 | 5B | 2 BR | — | $2,150,000 | — | +0.0% |
| Feb 7, 2008 | 3D | 1 BR | 775 | $816,000 | $1,053 | +2.1% |
| May 3, 2007 | 3D | 1 BR | 775 | $700,000 | $903 | — |
| Mar 15, 2007 | 1A | 1 BR | 1,800 | $1,350,000 | $750 | -9.7% |
| Mar 1, 2006 | 4D | — | $750,000 | — | +0.0% | |
| Jun 17, 2005 | 4A | 2 BR | 1,650 | $1,555,000 | $942 | +0.3% |
| Oct 28, 2004 | 5C | 2 BR | 1,600 | $1,425,000 | $891 | +0.0% |
| Jul 21, 2004 | 1C | 1 BR | 1,350 | $1,210,000 | $896 | +15.3% |
| May 26, 2004 | 3A | 2 BR | 1,600 | $1,300,000 | $813 | -6.8% |
Sources, exclusions and how these figures are computed
Sales sourced from NYC Department of Finance recorded transfers (BBL 1-00637-0077) and verified listing data. Apartment-level facts (line, condition, asking-price context) curated and cross-verified by The Roebling Team research desk. Not all transactions cross-verify with ACRIS records — sponsor and LLC purchases sometimes record at stipulated values rather than market price; square footage on co-ops is not officially recorded, figures shown are approximate. Storage, parking, and commercial units are excluded from all figures. Floor- and line-level $/sf are time-controlled (each sale measured against the building’s going rate at the time of sale) and expressed at today’s pricing, so they isolate the floor or line premium rather than blend two decades of market movement.
Put this data to work.
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