Top Real Estate Agents in Flushing, NY – December 2025
Find the best real estate agents in Flushing, NY. See who's closing the most deals, selling fastest, and dominating the market—backed by 12 months of MLS data.
We analyzed 2,037 MLS transactions across 768 agents in Flushing over the last 12 months to find who's actually moving property. Here's what the data says.
Key Market Stats
- Median Home Price: $749K
- Avg Days on Market: 113 days
- #1 Agent: Hsin Yuan Yang (185 transactions, $152.4M volume)
Flushing Housing Market Snapshot
Understanding the current market conditions helps you set realistic expectations and negotiate effectively.
| Metric | Value |
|---|---|
| Median Home Price | $749K |
| Avg Days on Market | 113 days |
| Listings Selling Under 30 Days | 11% |
| Listings on Market 90+ Days | 57% |
| Price Trend (vs Prior Quarter) | +12.3% |
Buyer's Market
How to Choose the Right Real Estate Agent in Flushing
Finding the right agent is about more than just transaction volume. Here's what to look for:
Ask these before signing with any Flushing agent:
- How many homes have you sold in Flushing in the past 12 months?
- How often will you update me, and through what channels?
- How do you determine list price? What's your sale-to-list ratio?
- What specific tactics will you use to market my property?
- Can you provide contact info for 3 recent clients?
Walk away if you see these warning signs:
- No recent local deals — They may not know the current market.
- Vague marketing — "We'll put it on the MLS" isn't a strategy.
- Pressure tactics — Good agents educate, not push.
Which structure fits your needs?
| Team | Solo Agent | |
|---|---|---|
| Availability | More coverage | Single point of contact |
| Specialization | Dedicated roles | Generalist approach |
| Communication | May vary by team member | Consistent relationship |
| Best for | High-volume, fast markets | Personalized attention |
Flushing Agent Rankings
| Rank | Agent | Brokerage | Transactions | Total Volume | Cohort |
|---|---|---|---|---|---|
| 1 | Hsin Yuan Yang | E Realty International Corp - Broker | 185 | $152.4M | Top 1% |
| 2 | Winne Chen | — | 70 | $67.7M | Top 1% |
| 3 | Dayu Li | Chous Consolidated Enterprise - Broker | 54 | $20.5M | Top 5% |
| 4 | Jingyun Chen | Sany Realty Group LLC | 31 | $9.7M | Top 5% |
| 5 | Xiao Feng Pan | Winzone Realty INC - Broker | 25 | $17.7M | Top 5% |
| 6 | Jocelyng X Ling | — | 24 | $19.6M | Top 5% |
| 7 | Jamie Zheng | — | 23 | $33.6M | Top 5% |
| 8 | Maureen Folan, Broker/Owner | Folan Real Estate Group INC - Broker | 23 | $24.7M | Top 5% |
| 9 | Po Wei Tair | — | 21 | $29.9M | Top 10% |
| 10 | Siang Liu | — | 16 | $15.5M | Top 10% |
Rankings based on MLS transaction data. Cohort percentile calculated against all agents in the market.
Top Agents by Transaction Volume
Speed to Sale: Agent vs Market Average
Agents highlighted in orange sell faster than the Flushing market average of 113 days.
Total Sales Volume
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Methodology
Data Collection
We analyzed 2,037 MLS listings in Flushing, NY from the last 12 months, sourced from our proprietary database of 21M+ nationwide transactions.
Ranking Calculation
Agents are ranked by transaction count with a minimum of 3 transactions required. Cohort percentiles compare each agent against all agents in the market.
Performance Metrics
We calculate days on market, total volume, and average sale price to provide a complete performance picture.
Frequently Asked Questions
How We Keep This List Updated
This ranking of top real estate agents in Flushing is updated monthly using the latest MLS transaction data. Our automated pipeline processes millions of records to identify agents with consistent, verifiable performance.
What triggers ranking changes:
- New transactions closing in the MLS
- Shifts in agent volume relative to market peers
- Updated brokerage affiliations
Last updated: 12-30-2025
About This Data
Rankings are based solely on MLS transaction data. Tab Tab Labs does not accept payment for placement. Past performance does not guarantee future results. Always interview multiple agents before making a decision.
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