monthly tracking of property prices in NYC, using Realtor.com data to analyze market trends, price shifts, and neighborhood-level changes.
Actowiz Solutions completed a targeted study of Monthly Tracking of Property Prices in New York City using proprietary scraping and enrichment workflows on Realtor.com. Framed as a Price Monitoring Services engagement, the project combined automated data collection with a Platform for Accurate Property Pricing to produce timely neighborhood- and borough-level intelligence. Our approach paired Realtor.com-based property price insights in NYC with Web Scraping for Real Estate Price Predictions and downstream analytics using Price Comparison Software and Dynamic Pricing Software to help brokers, investors, and asset managers respond to rapid market shifts.
| June 2025 | July 2025 | Absolute change | |
|---|---|---|---|
| Median sale price | $1,050,000 | $1,085,000 | +$35,000 |
| Active listings | 18,200 | 17,550 | -650 |
| Closed sales (monthly) | 4,200 | 4,350 | +150 |
Analysis: The data shows modest upward pressure on median prices with a — $35,000 increase month-over-month — driven by fewer active listings and a small uptick in closed transactions. This pattern is consistent with early summer seasonality and targeted demand in transit-adjacent submarkets.
Actowiz aggregated Monthly Realtor.com Price Data and Realtor.com monthly updates for NYC to quantify market breadth and velocity. We also used Realtor.com Property History Scraping to confirm list-to-sale movements and price revision patterns.
| Borough | Median Price (Jul 2025) | Avg Days on Market (Jul) | MoM Listings change |
|---|---|---|---|
| Manhattan | $1,550,000 | 36 | -4.1% |
| Brooklyn | $1,050,000 | 42 | -3.8% |
| Queens | $720,000 | 48 | -2.9% |
| Bronx | $420,000 | 55 | -1.8% |
| Staten Island | $560,000 | 60 | -2.3% |
Analysis: Manhattan and Brooklyn maintain the highest medians and faster turnover. Reduced listings across boroughs (negative month-over-month listing changes) indicate tightening supply which, combined with steady demand, supports the citywide price uplift seen in the introduction.
To Track NYC property prices monthly using Realtor.com at a tactical level, we analyzed three neighborhoods: Upper West Side (Manhattan), Williamsburg (Brooklyn), and Astoria (Queens).
| Neighborhood | Median Price (Jul) | Avg Days on Market | Price vs Previous Month |
|---|---|---|---|
| Upper West Side | $1,980,000 | 30 | +2.6% |
| Williamsburg | $1,320,000 | 38 | +3.1% |
| Astoria | $790,000 | 45 | +1.9% |
Analysis: Williamsburg shows the strongest neighborhood-level momentum, likely reflecting continued demand from remote/hybrid workers seeking larger units and lifestyle amenities. Faster days-on-market in Upper West Side suggests premium listings continue to transact quickly.
This section uses Monthly Realtor.com listing tracking and Monthly updates on property listings in NYC to model price dynamics and inventory depletion.
| Metric | June 2025 | July 2025 | % change |
|---|---|---|---|
| Median price (citywide) | $1,050,000 | $1,085,000 | +3.33% |
| Avg days on market | 52 | 47 | -9.62% |
| Active listings | 18,200 | 17,550 | -3.57% |
| Closed sales | 4,200 | 4,350 | +3.57% |
Analysis: Calculations show a 3.33% increase in median price and a 9.62% reduction in days on market. The combination of shrinking listings and rising closed sales suggests demand outpacing supply on a monthly basis; sellers are receiving offers faster, and transactions close sooner, supporting the price rise.
We applied Realtor.com-based property price insights in NYC alongside automated Realtor.com Property History Scraping to validate list-price changes, cancellations, and price reductions. Data sources were normalized into a central schema (listing id, address, list price, sale price, list date, sale date, property type). To ensure quality we cross-checked samples against public record filings and agent-supplied comps. Our pipeline delivers Real-time price tracking for New York properties by running incremental scrapes and delta updates nightly, combined with deduplication and canonical address resolution.
| QA metric | Result (Jul 2025) |
|---|---|
| Deduplication accuracy | 99.1% |
| Price extraction accuracy | 98.7% |
| Timeliness (avg latency hrs) | 6 hours |
Analysis: High extraction and deduplication accuracy support confident downstream analytics. A six-hour average latency positions our outputs as near-real-time for most operational use cases.
Using Property price monitoring across NYC we mapped opportunities for Dynamic Pricing Software and Price Comparison Software integration. Firms aiming to deploy price optimization or portfolio repricing should ingest Monthly Realtor.com Price Data together with mortgage rate movements and local rent indices.
| Use case | Expected benefit |
|---|---|
| Dynamic repricing for listings | Better time-to-offer; improved list-to-sale ratio |
| Competitive comps feed | Faster valuation underwriting |
| Portfolio stress-testing | Reduced downside exposure |
Analysis: Integrating our feeds with pricing engines materially improves valuation responsiveness and risk management for broker-dealers and institutional investors.
Actowiz Solutions’ Monthly Tracking of Property Prices report demonstrates a clear upward pressure on NYC medians in July 2025 driven by shrinking inventory and faster time-to-sale. Our Monthly Realtor.com Price Data and Monthly housing market updates for New York City provide the visibility needed for tactical pricing, acquisition pacing, and portfolio decisions. With Realtor.com monthly updates for NYC and Real-time price tracking for New York properties in place, stakeholders can anticipate short-term price momentum and act proactively. For tailored feeds, dashboards, or to pilot our Realtor.com Property History Scraping for your portfolio, contact Actowiz Solutions today. Monthly Tracking of Property Prices empowers your next pricing decision—get started with a free sample dataset.
Reach out to Actowiz Solutions for a customized NYC price-monitoring pilot and receive a 2-week sample feed for your target zip codes.
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