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Flat 2, 4 Recovery Street, London, SW17 0DL

UPRN:10024085582Purpose Built Flat2 bedsBuilt 2007-2011
LeaseholdCouncil Tax: Band DEPC: B (82)AI-Powered Intelligence
Data freshness:Listing· freshListing: fresh, refreshed 3d ago (2026-08-18T15:06:06.624761+00:00)Planning· 1mo agoPlanning: ageing, refreshed 1mo ago (2026-07-10T09:56:00.390756+00:00)EPC· 3mo agoEPC: stale, refreshed 3mo ago (2026-05-20T10:58:39.129138+00:00)Risk· 2mo agoRisk: ageing, refreshed 2mo ago (2026-07-04T06:46:22.443816+00:00)Crime· 3mo agoCrime: stale, refreshed 3mo ago (2026-05-20T10:58:39.129138+00:00)Connectivity· 2mo agoConnectivity: ageing, refreshed 2mo ago (2026-07-04T20:23:28.637306+00:00)Schools· 2mo agoSchools: ageing, refreshed 2mo ago (2026-07-07T02:37:19.861486+00:00)Amenities· 2mo agoAmenities: ageing, refreshed 2mo ago (2026-07-05T20:05:00.707256+00:00)Area· Census 2021Area: static reference data (Census 2021); authoritative and does not refreshCouncil Tax· 3mo agoCouncil Tax: stale, refreshed 3mo ago (2026-05-20T09:33:12.870431+00:00)
HomePortfolio Score
High Potential

Top-quartile potential across the London corridor.

This property
86/ 100

Flat 2 earns a BUY rating with HP Score 86/100. Investment score 73/100 reflects strong fundamentals. Crime intensity is very low. Walkability is excellent (94/100). Flood risk is rated very low. Tenure is leasehold. Verdict and headline figures are derived from the live HomePortfolio API; narrative deep-dives below combine real signals with modelled analytics.

AI-aggregated from 279 underlying signalsRecalibrated quarterlyRead methodology

The HP Score is a composite of the intelligence categories on this page, weighted by long-term predictive value. Category scores shown here are sourced from the live API; a category with no live signal renders as unavailable rather than a modelled placeholder.

Signal aggregation

279 underlying signals from Land Registry, EPC, Environment Agency, Census 2021, Ofcom, Ofsted, planning portals and proprietary scraping fleets.

Dimension weighting

Each of the 13 categories is weighted by long-term predictive value against capital growth and rental demand, recalibrated quarterly.

Risk adjustment

Final score is adjusted downward for flood, climate, planning pressure, ownership opacity and air-quality factors when above area thresholds.

Intelligence Dimensions

13 categories driving HP Score

Transit & Bike

Real Data
88
/ 100
Excellent
Bus stops
11
within 400m
PTAL
-
Excellent
Cycle infra
0.18mi
nearest lane

Derived from NaPTAN, BODS live feed and OSM cycling network - not inferred from postcode averages.

Flood Risk Detail

92/ 100
Composite band
Very Low
River
Very low
Surface
Very low
Groundwater
Very low
Coastal
Very low
Historical events
--recorded

Source: Environment Agency flood-risk datasets (RoFRS, surface water and groundwater models).

Climate Risk Detail

84/ 100
Composite band
Low
Heat
Unknown
Drought
Unknown
Cold
Unknown
Extreme Wind
Unknown
2050 outlook

All four categories trend stable through 2050 under RCP4.5 scenarios; heat risk rises one band by 2080.

Source: UK Climate Projections (UKCP18) and Met Office downscaled tiles.

Score Components

0 signal aggregates contributing to HP Score
ComponentScoreImpactTrend 12mSummary
Methodology

How we build HP Score

The HP Score is a composite of the intelligence categories on this page, weighted by long-term predictive value. Category scores shown here are sourced from the live API; a category with no live signal renders as unavailable rather than a modelled placeholder.

  1. 01

    Signal ingestion

    279 underlying signals are sourced from Land Registry, Environment Agency, Ofcom, Ofsted, Census 2021, planning portals, and proprietary scrapers running on dedicated proxy fleets. All raw signals are timestamped and lineage-tracked.

  2. 02

    Dimension aggregation

    Raw signals are normalised and aggregated into 13 intelligence dimensions (Investment, Crime, Walkability, Schools, Flood, Climate, Rental Demand, Liquidity, Affordability, Connectivity, Environmental, Regeneration, Transit & Bike).

  3. 03

    Weighting & calibration

    Each dimension is weighted by its long-term predictive value against capital growth and rental demand. Weights are re-trained quarterly against the full UK property dataset and back-tested over a 10-year window.

  4. 04

    Risk adjustments

    Final composite is adjusted downward for above-threshold risk factors - flood, climate, planning pressure, ownership opacity, and air-quality NO2 exceedances - to reflect downside exposure rather than just upside potential.

HP Score is updated continuously as new signals are ingested. The methodology was last reviewed by the HomePortfolio data-science team in Q2 2026.