Development Intent
AtlasWaltham ForestOfficersReina England
Case officer · Waltham Forest Planning

Reina England.

Last recorded decision Sep 2021 — no decisions in this record since

A case officer at Waltham Forest with an approval rate of 67% across 301 decided planning applications, spanning 11 wards.[1] Decision speed and appeal performance publish when decision notices are ingested.

Planning officer301 decisions67% approvalSave
Waltham Forest · ward map
Approval rate — by ward
Lower ~68%
Higher ~90%
ShowingAll years · subscriber →across all years on record — a period re-scopes the headline figures and the trend
At a glanceEach metric links to the investigation behind it
All investigations →
301
Applications
2020–21
Approval rate over time — tougher or softer 🔒Dashed line = London average
avg 81%62%202073%2021100%2022100%2023
Approval-rate trend is subscriber dataSubscribe to see the trend →
What they decide — by application type
How they compareVersus peers
Approval rate67% · 36th of 49
higher is betterdashed = London avg
Decision time · publishes with decision notices
in development
Appeal overturn · publishes with decision notices
in development
How this officer decides — from their own reports

Not filled in yet — this needs at least 20 of Reina England's own officer reports parsed, and their reports haven't reached that threshold in the parsing run. It fills automatically as parsing progresses; nothing is estimated in its place.

Policy playbook — what this officer cites[3]

The policies cited most on decision notices for applications Reina England decided — 27 parsed notices. From the published notices themselves; their own report wording is parsed separately.

CS15Waltham Forest plan
25 times cited
DM29Waltham Forest plan
25 times cited
DM4Waltham Forest plan
22 times cited
DM32Waltham Forest plan
20 times cited
CS2Waltham Forest plan
15 times cited
CS13Waltham Forest plan
11 times cited
DM35Waltham Forest plan
4 times cited
DM23Health and WellWaltham Forest plan
2 times cited
Which policies this officer leans on is subscriber intelligenceSubscribe to unlock →
Decisions by ward
Ward
Decisions
Approval rate
Show all 11 rows
23
68%
16
86%
14
71%

Where this officer's caseload concentrates, 2020–21.[1] Click the map above to focus this page on a ward, or a row to open the ward.

Recent applications
Address
Reference
Type
Outcome
Date
212125
Full Planning
Withdrawn
2023-06-26
210730
Full Planning
Approved
2023-03-24
212125
Full Planning
Withdrawn
2023-06-26
210730
Full Planning
Approved
2023-03-24
Full application history locked
Subscribe to see all 301 decisions →
Consultants approved most— subscriber data
1. Resi
2. Civils Consulting Ltd
3. ZAAVIA DESIGN LTD
4. Fast Plans
At a glance
OfficerReina England
RolePlanning officer
Experience
Applications301 (2020–21)
Approval rate67%
London approval avg81%
Who decides here
GovernmentMayor of LondonCouncilCommitteeOfficersDecisionsApplicantsInspectorate
Related investigations
When committees overrule officers like this one →
How often members depart from officer recommendations, and how those overrides fare at appeal.
How much gets decided without a committee →
The delegated share by borough and officer — where the real power over decisions sits.
Sources & method
  1. [1]Applications decided, approval rate, per-year trend and ward breakdown — London Borough of Waltham Forest planning register and published decision notices, 2020–21. · methodology
  2. [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. [3]Condition load — mean effective conditions attached to Waltham Forest decision notices (grant/split), parsed from the published notice text; a borough figure, not yet split per case officer.
  4. [4]Policy citations will be coded from officer reports against the adopted Local Plan, London Plan and NPPF — that parsing has not run for this borough yet.
Methodology is published in full so every number is traceable to its primary source.