Markah Harta

ShiokNest, walkability, and investment scores by location

Cara Menggunakan Peta Skor

Pengambilan Utama

  • Data peta dimuat semula daripada API URA, HDB dan OneMap — tuding mana-mana penanda untuk nilai langsung.
  • Gunakan panel penapis untuk mengecilkan hasil mengikut daerah, jenis bilik tidur, julat harga atau tempoh.
  • Klik mana-mana penanda atau poligon untuk menggerudi ke dalam sifat asas atau butiran kawasan.

Apa yang Dilakukan

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.

Mengapa Ia Penting

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.

Bagaimana Ia Berfungsi

  • Sorot dan zum ke kawasan Singapura yang anda minati.
  • Gunakan panel penapis untuk mengecilkan hasil mengikut daerah, jenis bilik tidur atau julat harga.
  • Tuding mana-mana penanda atau poligon untuk petua alat dengan nilai yang tepat.
  • Klik penanda untuk membuka halaman butiran harta atau kawasan asas.

Contoh

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

Input
Score type
Investment Potential
Segment
OCR filter
Threshold
Score ≥ 65 (top quartile)
Layer
District choropleth + individual property bubbles
Keputusan
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

Macam mana nak baca ni: 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

Input
Score type
En-Bloc Probability
Segment
CCR (D9, D10, D11)
Filter
Developments built before 1995 (lease ≥ 30 years remaining)
Layer
Individual property bubbles
Keputusan
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

Macam mana nak baca ni: 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.

Petua & Perangkap

Petua Pakar

  • Zum keluar dahulu untuk melihat corak makro sebelum menyelam ke dalam daerah individu.
  • Bandingkan peta ini dengan peta hasil sewaan untuk mencari permintaan tinggi, harga terpencil yang rendah.
  • Gunakan legenda untuk memahami pengekodan warna — warna yang sama boleh bermakna perkara yang berbeza pada peta yang berbeza.

Perangkap Biasa

  • Menilai daerah berdasarkan warna tajuk sahaja — saiz sampel asas berbeza-beza di seluruh Singapura.
  • Median yang mengelirukan dengan min apabila kedua-duanya ditunjukkan — cara dicondongkan oleh pencilan mewah.
  • Terlupa bahawa harga pelancaran baharu didiskaunkan — harga jualan semula ialah penanda aras yang lebih baik untuk nilai saksama.

Soalan Lazim

Dari mana datangnya data peta?
Data diperoleh daripada URA (Urban Redevelopment Authority), HDB, OneMap dan API rasmi kerajaan Singapura, yang dimuat semula setiap bulan.
Berapa kerapkah peta dikemas kini?
Peta berasaskan transaksi dimuat semula setiap bulan apabila URA dan HDB menerbitkan data baharu. Kemas kini lapisan perancangan (Pelan Induk, GLS) seperti yang diwartakan.
Bolehkah saya menapis mengikut daerah atau jenis bilik tidur?
Ya — gunakan panel penapis pada peta. Keadaan penapis dikekalkan dalam URL supaya anda boleh berkongsi pautan dalam ke paparan tertentu.

Sumber Berkaitan

Peta Semak imbas semua peta Wawasan Wawasan Hasil Sewaan Kalkulator Kalkulator Perbandingan Daerah Panduan Panduan Harta Wawasan Skor Pelaburan Wawasan Skor Keberuntungan Wawasan Skor En-Bloc Wawasan Skor Kebolehjalan kaki