Real-time ground rent intelligence powered by machine learning and building-level aggregation across the UK leasehold property market
Combine ground rent data with registered leases and service charges for comprehensive leasehold property intelligence.
Ground Rent Data is a continuously-evolving intelligence layer that provides annual ground rent data for leasehold properties across the UK. Built on our property graph, the dataset combines verified records with ML-powered estimates that improve automatically as our network expands. The system detects peppercorn rents (£0-£10), escalating ground rent patterns including doubling clauses, and provides context on post-2022 leasehold reform restrictions.
When available, we surface exact recorded ground rents from our property model. For properties without direct records, our machine learning models calculate estimates using real-time building-level aggregation, analysing comparable properties within the same building or spatial proximity. The system self-improves as new property data flows through the network, making estimates more accurate over time.
Direct ground rent records from our property graph. When we have a verified record for a property, we return the exact value with full provenance and confidence metrics. Includes detection of peppercorn rents and escalation patterns.
Machine learning models analyse real-time property events to calculate estimates from comparable units within the same building. The system processes 2-100+ comparables and learns from each new data point, continuously improving estimate accuracy as the property network expands.
When building-level data is insufficient, ML models analyse nearby comparable properties using embeddings for characteristic alignment. The system considers property attributes, building ownership patterns, and spatial proximity. This method is only activated when confidence thresholds are met, ensuring estimate quality.
Automatically identifies nominal ground rents (£0-£10) common in modern leases
Identifies escalating ground rent patterns and doubling provisions in lease terms
Provides context on 2022 Leasehold Reform Act and ground rent restrictions
Dataset grows automatically as property graph expands with new data events
Accuracy increases automatically as network learns from new property events
Analyses up to 100+ units per building for highly accurate estimates
POST /v1/property/query
Content-Type: application/json
x-api-key: your_api_key
{
"locationIds": ["LDIN-001234567890"],
"attributes": ["charges.groundRent"]
}
Response (28ms):
{
"success": true,
"data": [{
"locationId": "LDIN-001234567890",
"charges": {
"groundRent": {
"current": 350,
"confidence": 94,
"entries": [{
"value": 350,
"confidence": 94,
"recordedDate": "2024-08-15",
"sourceProvider": "rightmove",
"isOutlier": false
}]
}
}
}]
}| Field | Type | Description |
|---|---|---|
| current | number | Annual ground rent (£) |
| confidence | number | Confidence score (0-100) |
| entries | array | Historical ground rent entries with sources and confidence |
| lastUpdated | date | Last update timestamp |
| value | number | Ground rent value in entry (£0 indicates peppercorn) |
| sourceProvider | string | Data source provider |
| isOutlier | boolean | Whether entry was flagged as statistical outlier |
Instant ground rent intelligence during due diligence, including escalation clause detection
Automated affordability assessments and identification of problematic doubling clauses
Enrich listings with accurate ground rent data and peppercorn rent indicators
Benchmark ground rents against market comparables and identify outliers
Calculate accurate net rental yields and assess long-term ground rent exposure
Build ground rent intelligence into search and analysis tools via property query API
New residential long leases granted from 30 June 2022 in England and Wales must have a ground rent set at £0 (peppercorn rent). Existing leases with ground rents remain valid, making historical ground rent data essential for property transactions. This dataset helps identify pre-reform properties with escalating ground rents and supports due diligence on leasehold affordability.