Stefan Sanctuary.
Active — last recorded decision Apr 2026
A case officer at Islington with an approval rate of 92% across 27 decided planning applications, spanning 8 wards.[1] Decision speed and appeal performance publish when decision notices are ingested.
Topic mentions per 1,000 words of their own report text (boilerplate stripped), indexed against all parsed Islington reports. Attention, not stance.
Mark = borough average (1×). Bar capped at 2×.
“Therefore, proposals are not considered to result in any unacceptable visual impact.”
P2023/3158/FUL · recommendation: Approve with conditions
“Therefore proposals are not considered to result in any unacceptable visual impact.”
P2024/0070/FUL · recommendation: Approve with conditions
Measured from 21 published Islington officer reports written by this officer, with recited policy boilerplate stripped before any counting. These describe how this officer works and writes — they are not outcome predictions. Every quote is from a named public report.
The policies this officer cites most in their own reports — times cited across 21 parsed reports. Whether refusals citing each survive appeal isn't traced per policy yet.
Where this officer's caseload concentrates, 2020–26.[1] Click the map above to focus this page on a ward, or a row to open the ward.
- [1]Applications decided, approval rate, per-year trend and ward breakdown — London Borough of Islington planning register and published decision notices, 2020–26. · methodology
- [2]Appeal overturn and decision-time benchmarks — Planning Inspectorate (PINS) appeal decisions and application date pairs; not yet computed per officer, shown as a dash until they are. · PINS appeals casework
- [3]Condition load — mean effective conditions attached to Islington decision notices (grant/split), parsed from the published notice text; a borough figure, not yet split per case officer.
- [4]"How this officer decides", the policy playbook and all quotes — parsed from 21 published Islington officer reports written by this officer, recited policy boilerplate stripped before counting; disposition text coded from their own reasoning with every quote machine-verified verbatim. Descriptive of how they work — not outcome predictions.