房产评分

ShiokNest, walkability, and investment scores by location

如何使用分数图

要点

  • 地图数据通过 URA、HDB 和 OneMap API 进行刷新 - 将鼠标悬停在任何标记上即可获取实时值。
  • 使用过滤器面板按地区、卧室类型、价格范围或保有权缩小结果范围。
  • 单击任何标记或多边形可深入查看基础属性或区域详细信息。

它的作用

This map colours each district by the average score of properties within it. Darker colours indicate higher scores. Zoom in to see individual property bubbles — the size represents score magnitude and the colour shows relative ranking.

为什么它很重要

Score Types Explained

  • Investment Score: Combines rental yield, capital appreciation, liquidity, and location factors. OCR typically scores highest on yield; CCR on prestige.
  • Profitability Score: Based on historical transaction win rates and median returns. High-volume condos in established areas tend to lead.
  • En-Bloc Score: Evaluates redevelopment potential — older buildings with low plot ratio utilisation in freehold land score highest.
  • Walkability Score: Proximity to MRT, schools, hawker centres, malls, parks, and clinics. Mature estates like Toa Payoh and Bishan dominate.
  • ShiokNest Score: Composite of all four sub-scores — the overall quality metric.

How to Use

Look for districts with consistently high scores across multiple dimensions — these represent the most well-rounded property markets. Districts where investment scores are high but walkability is low may signal emerging areas with future upside. Click individual properties to see their detailed score breakdown.

它是如何运作的

  • 平移并缩放到您感兴趣的新加坡地区。
  • 使用过滤器面板按地区、卧室类型或价格范围缩小结果范围。
  • 将鼠标悬停在任何标记或多边形上，即可获得具有精确值的工具提示。
  • 单击标记可打开基础属性或区域详细信息页面。

示例

Investment score map: finding high-opportunity OCR condos before the crowd

输入
Score type
Investment Potential
Segment
OCR filter
Threshold
Score ≥ 65 (top quartile)
Layer
District choropleth + individual property bubbles
结果
High-score OCR districts
D19, D27, D18
Top-scoring developments
Appear as large dark bubbles in northeast and north
Insight
D19 cluster outscoring CCR average by 8 points

如何阅读此内容: Zoom into D19 on the Investment score layer and individual condo bubbles emerge — larger bubbles indicate higher scores, with colour confirming rank. Developments scoring 65+ in D19 are flagging strong yield + price momentum + MRT proximity combinations. Clicking a bubble opens the property card showing the score breakdown: which of the 7 factors (yield, momentum, MRT, lease, liquidity, en-bloc, segment) are driving the score. This spatial view surfaces non-obvious opportunities that list-based searches miss.

En-bloc probability map: identifying aging CCR developments with redevelopment upside

输入
Score type
En-Bloc Probability
Segment
CCR (D9, D10, D11)
Filter
Developments built before 1995 (lease ≥ 30 years remaining)
Layer
Individual property bubbles
结果
High en-bloc score clusters
D10 Ardmore area, D11 Novena fringe
Score drivers
Low GPR utilisation + age + owner consent feasibility
Price premium indicator
High en-bloc score + below-median PSF = buy signal

如何阅读此内容: En-bloc potential generates real price premiums: developments that successfully complete collective sales typically transact at 20–40% above secondary market prices in the 12 months before the collective sale is announced. The map highlights which CCR developments have the structural conditions for en-bloc (old age, underutilised plot ratio, manageable unit count for 80% consent). A buyer who purchases at secondary market price before an en-bloc announcement benefits from the full premium. Switch to the PSF layer to confirm a high-en-bloc-score development is still priced below its district median — the ideal entry combination.

提示和陷阱

专家提示

  • 在深入各个地区之前，首先要缩小范围以发现宏观模式。
  • 将此地图与租金收益率地图进行比较，以找到高需求、低价的异常值。
  • 使用图例来理解颜色编码——相同的颜色在不同的地图上可能意味着不同的东西。

常见陷阱

  • 仅通过标题颜色来判断一个地区——整个新加坡的潜在样本量差异很大。
  • 当中位数和均值同时显示时，将两者混淆——均值因奢侈品异常值而产生偏差。
  • 忘记新推出的价格是打折的——转售价格是公平价值的更好基准。

常见问题解答

地图数据从哪里来？
数据来源于 URA（城市重建局）、HDB、OneMap 和新加坡政府官方 API，每月更新一次。
地图多久更新一次？
随着 URA 和 HDB 发布新数据，基于交易的地图每月更新一次。规划层（总体规划、GLS）按公告更新。
我可以按地区或卧室类型过滤吗？
是的 - 使用地图上的过滤器面板。过滤器状态保留在 URL 中，以便您可以共享特定视图的深层链接。

相关资源

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