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🗓 Submission Timing Intelligence

When is the best month — and weekday — to submit your planning application? Real approval-rate + decision-speed data from 25,848 dated decisions across UK LPAs.

📅 Monthly breakdown per LPA 🏆 Best / worst windows ⚡ Decision-speed by month 🌍 National baseline for context
🏛️ By LPA 🗓 Best LPAs by Month
Narrow by type All types Householder Full / Major Outline Reserved Matters Listed Building Conservation Area Prior Approval Lawful Development Change of Use

📊 Greenwich

Months below refer to when you submit, not when the decision lands. Each application is bucketed by its received_date month — but the approval rate measures the final outcome, whenever it landed (60-90 days later typically). The lag is already baked into the signal: "submit in December = 100% approval" already accounts for the fact that those decisions arrive in Feb/March. The month-by-month table below shows the lag explicitly so you can see the full cycle.

Best month to submit: October — apps submitted then end up with 80.0% approval (sample: 10 decisions). Avoid submitting in January (67.7% approval).
🏆 Best SUBMIT Month
October
Apps submitted then → 80.0% approval (10 decisions)
⚠️ Avoid SUBMITTING In
January
Apps submitted then → 67.7% approval (31 decisions)
⚡ Submit For Fastest Decision
January
Apps submitted then → avg 56 days to decision
🎯 Inverse view — "I want a decision in [month], when do I submit?"

Based on this LPA's typical decision-lag of 80 days (~3 months), the table below shows when to submit if you want your decision to land in a specific month.

If you want a decision in...Submit by (approx.)That submit month's approval rate
Jan Submit by end of Oct 80%
Feb Submit by end of Nov 67.9%
Mar Submit by end of Dec 78.6%
Apr Submit by end of Jan 67.7%
May Submit by end of Feb 83.3%
Jun Submit by end of Mar
Jul Submit by end of Apr 100%
Aug Submit by end of May 100%
Sep Submit by end of Jun 100%
Oct Submit by end of Jul 100%
Nov Submit by end of Aug 0%
Dec Submit by end of Sep 100%

Inverse calculation is approximate — actual decision time varies (range typically ±30 days). Use the Decision Time Predictor for tighter forecasts.

⏱ Decision speed by application type

How long different application types actually take at Greenwich. Householder apps are statutorily 8 weeks; full/major are 13 weeks — but the real numbers usually drift. This is what the data says, not what the statute says.
→ Fastest: Prior Approval (40 days). Slowest: Full / Major (85 days).

Application type Decisions Approval rate Avg days Range
Householder 148 75.7% 67 d (10 wk) 41–239 d Filter ▸
Full / Major 132 75% 85 d (12 wk) 48–345 d ✕ clear
Lawful Development 88 86.4% 56 d (8 wk) 7–200 d Filter ▸
Prior Approval 42 59.5% 40 d (6 wk) 28–62 d Filter ▸
Advertisement 34 76.5% 74 d (11 wk) 18–162 d Filter ▸
Listed Building 21 100% 63 d (9 wk) 45–85 d Filter ▸
Conservation Area 15 73.3% 64 d (9 wk) 26–121 d Filter ▸

ⓘ Month-by-month stats above are filtered to Full / Major only. The table above always shows all types so you can compare.

🚀
Submit-now-or-wait recommendation
SUBMIT NOW
Current approval rate is 100% — only -20pp below the best month. Not worth waiting.
Current month's decision speed: ~226 days avg.

📅 Month-by-month breakdown — full submit→decide cycle

Each row shows the complete journey for applications received in that month: how long they took, when the decision actually landed, and what % were approved. The approval rate already accounts for everything that happens between submission and decision — the lag is part of the signal.

Submit month Decisions Approval rate Median lag Decision typically lands in Range
January 31
67.7%
56d (~8wk) → March 48–66d
February 6
83.3%
54d (~8wk) → April 50–56d
April 4
100%
290d (~41wk) (outlier) → February 257–345d
May 3
100%
251d (~36wk) (outlier) → January 231–269d
September 4
100%
148d (~21wk) → February 134–162d
October 10
80%
120d (~17wk) → February 70–177d
November 28
67.9%
68d (~10wk) → January 49–127d
December 42
78.6%
64d (~9wk) → February 55–96d

Read across each row: submit in [month] → wait [median lag] → decision lands in [target month] → outcome [approval rate]. The approval rate is the final outcome of the whole cycle, not a snapshot.

🗓 Day-of-week patterns

Day receivedDecisionsApproval rateAvg days
Monday 34 70.6% 106
Tuesday 23 69.6% 85
Wednesday 24 75% 116
Thursday 29 75.9% 82
Friday 25 88% 92
⚖️ Why timing matters less than they pretend: A planning decision should be made on its substantive merits, not the season. But officers have queues, committees have schedules, and consultees go on holiday. The data is a guide to operational friction, not policy friction. If your scheme is sound, time it to land in their best window. If it's borderline, give yourself every advantage.
📊 Data sources & freshness

Timing is a tactical edge, not strategic justification. Use alongside the constraint check + pattern fingerprint to make the case strong on substance, then time it to land well.

  • planning_applications.received_date (updated Daily ingest)
    25,848 dated decisions where both received_date and decision_type are known. Approval = approved/granted/permit. Sample size gating: months with fewer than 8 decisions excluded from best/worst recommendation.
  • Day-of-week patterns
    Reflects when applicants choose to submit, which may correlate with applicant type (Monday = professional consultants; Friday = end-of-week DIY submissions). Causality is correlative not causal.
  • Decision-time outliers
    Months showing 200+ day averages are flagged — they reflect older PINS-appeal-derived rows where determinations stretched over many months. Read the Jan/Feb/Nov/Dec numbers (largest samples) as the reliable benchmark.
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