Borough Report
Kingston upon Thames
271 determined applications · 19 wards · 4 areas · 26 conservation areas · 2023–2025
Headline findings
54.6%
Refusal rate
148 of 271 decided — among London’s highest
Verified
−44%
10th unit cliff
Per-unit residual collapses at full AH obligation
Verified
5+
DM15 threshold
AH contributions from just 5 units — below the London norm
Verified
29%
Schemes compressed
Avg 2.9 units cut during determination
Verified
Key findings
Verified
The 6-unit sweet spot: £148k/unit residual, delegated, zero committee exposure
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Six units delivers the highest per-unit residual land value with delegated determination and zero committee threshold exposure. Per-unit residual drops at 7 units (committee finance cost) and collapses at 10 units (full AH obligation). Total residual for a 6-unit scheme: ~£890,000.
Verified
DM15 creates a double cliff: −30% at 5 units, −44% at 10 units
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Kingston’s DM15 triggers in-lieu AH contributions at just 5 units — half the London norm. Per-unit residual drops 30% at the 5-unit threshold, then collapses a further 44% at 10 units when full on-site provision applies. The 4-unit scheme is the safe harbour; bid accordingly.
Verified
54.6% refusal rate — more than 1 in 2 small-site schemes refused, zero appeals
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148 of 271 decided applications are refused — the highest rate in our dataset. Zero appeals were lodged across the entire dataset, meaning the appeal route is entirely unused. Mitigants: pre-app engagement, rigorous space standards compliance, and 30% family housing (DM13). n=271.
Verified
28.9% of schemes compressed — propose N+3 with removable design options
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28.9% of approved schemes are compressed during determination, with an average loss of 2.9 units (median 2). Strategy: propose 3 additional units above your target with design flexibility for removal to protect your appraisal. n=38 approved applications with proposed and approved counts.
Moderate
Pre-app lifts approval from 28% to 34% (+6 points)
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Pre-application engagement lifts approval rate by 6.4 percentage points (34.2% vs 27.8%). The effect is weaker than in other boroughs, but with a 54.6% base refusal rate, every marginal improvement matters. Determination time is unaffected (p=0.79). n=56 applications with pre-app data.
Verified
Conservation area penalty: −37% density (p=0.044)
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Sites in conservation areas achieve significantly lower density: 29.2 u/ha median vs 46.4 u/ha outside (a 37.1% gap). The effect is statistically significant (p=0.044, Mann-Whitney U). With 26 CAs plus 19 Local Areas of Special Character, heritage constraints cover a large portion of the borough.
Verified
Density does not predict refusal — design quality is the primary driver
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Refused applications propose similar densities to approved ones. Refusals are driven by design quality, amenity impact, heritage sensitivity, and process factors — not unit count. The practical takeaway: propose aggressively at the P75 benchmark without materially increasing refusal risk. n=271.
Verified
Two officers handle 21% of all cases: Hickey and Danik (32 applications each)
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24 officers manage the small sites pipeline, but Carmellena Hickey and Gosia Danik each handle 32 applications. The top 10 officers handle 68% of all cases. Officer assignment materially affects outcome. The report maps every officer’s caseload and approval rate. n=304.
What you get
The full report
- 49-page report (HTML & PDF) with 21+ evidence-graded findings
- Density matrix by site type with P20–P75 ranges
- PTAL-adjusted density lookup table
- Viability model with cliff chart and sensitivity analysis
- Ward-level and area-level approval rate maps
- Refusal reason analysis with frequency data
- Conservation area risk assessment (26 CAs + 19 LASCs)
- Case officer patterns across 24 officers
Kingston-specific insights
- DM15 double cliff: AH from 5 units (−30%), full obligation at 10 (−44%)
- 54.6% refusal rate mitigants and strategies
- DM13 family housing: 30% minimum 3+ bed requirement
- Conservation area penalty quantified (p=0.044)
- 4-zone CIL: £50–£210/m² borough + £60 MCIL2
Decision tools
- Before-you-bid and before-you-submit checklists
- One-page Market Snapshot for quick reference
- Underlying data in Excel for your own analysis
Get the report
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