💡 Submission Timing works best inside your planning journey — open or create your case there and your documents and site data fill this in for you.

🗓 Submission Timing Intelligence

When is the best month — and weekday — to submit your planning application? Real approval-rate + decision-speed data from 144,135 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 Tree Works / TPO Discharge Conditions Amendment / NMA

📊 Canterbury

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: January — apps submitted then end up with 100.0% approval (sample: 13 decisions). Avoid submitting in February (83.3% approval).
🏆 Best SUBMIT Month
January
Apps submitted then → 100.0% approval (13 decisions)
⚠️ Avoid SUBMITTING In
February
Apps submitted then → 83.3% approval (18 decisions)
⚡ Submit For Fastest Decision
January
Apps submitted then → avg 42 days to decision
🎯 Inverse view — "I want a decision in [month], when do I submit?"

Based on this LPA's typical decision-lag of 77 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 84.8%
Feb Submit by end of Nov 87.3%
Mar Submit by end of Dec 97%
Apr Submit by end of Jan 100%
May Submit by end of Feb 83.3%
Jun Submit by end of Mar 96.3%
Jul Submit by end of Apr 96.5%
Aug Submit by end of May 95.6%
Sep Submit by end of Jun 98.6%
Oct Submit by end of Jul 98.1%
Nov Submit by end of Aug 94.3%
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 Canterbury. 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: Tree Works / TPO (34 days). Slowest: Full / Major (83 days).

Application type Decisions Approval rate Avg days Range
Full / Major 374 92.2% 83 d (12 wk) 5–351 d Filter ▸
Heritage / LB 200 99% 53 d (8 wk) 4–330 d Filter ▸
Tree Works / TPO 46 100% 34 d (5 wk) 0–80 d Filter ▸
Amendment / NMA 27 100% 51 d (7 wk) 8–301 d Filter ▸
Advertisement 18 83.3% 72 d (10 wk) 21–191 d Filter ▸
Discharge Conditions 13 100% 81 d (12 wk) 38–170 d Filter ▸
Listed Building (low sample) 7 100% 44 d (6 wk) 36–68 d Filter ▸
⏸
Submit-now-or-wait recommendation
CONSIDER WAITING
Current month (November) has 87.3% approval. Best month (January) is only 2 month(s) away with 100% — a 12.7pp uplift for a short wait. Worth pausing if your scheme isn't urgent.
Current month's decision speed: ~86 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 13
100%
42d (~6wk) → February 2–154d
February 18
83.3%
155d (~22wk) → July 8–351d
March 54
96.3%
101d (~14wk) → June 53–301d
April 85
96.5%
58d (~8wk) → June 25–149d
May 68
95.6%
60d (~9wk) → July 5–132d
June 72
98.6%
63d (~9wk) → August 4–231d
July 104
98.1%
46d (~7wk) → September 1–192d
August 106
94.3%
62d (~9wk) → October 1–291d
September 64
100%
54d (~8wk) → November —
October 33
84.8%
154d (~22wk) → March 7–351d
November 63
87.3%
86d (~12wk) → February 42–344d
December 67
97%
59d (~8wk) → February 28–291d

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 159 94.3% 84
Tuesday 156 96.8% 81
Wednesday 147 95.9% 85
Thursday 153 94.8% 93
Friday 137 94.2% 74
Saturday 6 100% 38
⚖️ 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)
    144,135 dated decisions where a submission date and a decision are both known. The submission date is received_date, falling back to validated_date — many council portals publish only the validated date, and the statutory clock runs from it. 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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