💡 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

📊 City of London

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.

Seasonality at this LPA is weak — approval rates vary by less than 5pp regardless of submit month. Submit when ready.
🏆 Best SUBMIT Month
January
Apps submitted then → 100.0% approval (36 decisions)
⚠️ Avoid SUBMITTING In
October
Apps submitted then → 97.1% approval (34 decisions)
⚡ Submit For Fastest Decision
January
Apps submitted then → avg 45 days to decision
🎯 Inverse view — "I want a decision in [month], when do I submit?"

Based on this LPA's typical decision-lag of 95 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 97.1%
Feb Submit by end of Nov 100%
Mar Submit by end of Dec 100%
Apr Submit by end of Jan 100%
May Submit by end of Feb 97.4%
Jun Submit by end of Mar 100%
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 100%
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 City of London. 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: Amendment / NMA (60 days). Slowest: Listed Building (139 days).

Application type Decisions Approval rate Avg days Range
Full / Major 54 98.1% 131 d (19 wk) 45–361 d Filter ▸
Listed Building 36 100% 139 d (20 wk) 42–326 d Filter ▸
Amendment / NMA 17 100% 60 d (9 wk) 6–155 d Filter ▸
Advertisement 14 92.9% 100 d (14 wk) 48–203 d Filter ▸
Lawful Development (low sample) 4 100% 38 d (5 wk) 19–54 d Filter ▸
Conservation Area (low sample) 2 100% 70 d (10 wk) 56–83 d Filter ▸
Tree Works / TPO (low sample) 1 100% 56 d (8 wk) 56–56 d Filter ▸
🚀
Submit-now-or-wait recommendation
SUBMIT NOW
Current approval rate is 100% — only 0pp below the best month. Not worth waiting.
Current month's decision speed: ~106 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 36
100%
45d (~6wk) → March 7–85d
February 38
97.4%
47d (~7wk) → April 1–363d
March 17
100%
145d (~21wk) → August 1–362d
April 6
100%
149d (~21wk) → September 105–336d
May 7
100%
166d (~24wk) → November 61–278d
June 13
100%
133d (~19wk) → October 34–287d
July 31
100%
149d (~21wk) → December 14–259d
August 24
100%
85d (~12wk) → November 12–226d
September 23
100%
114d (~16wk) → January 22–189d
October 34
97.1%
128d (~18wk) → February 12–170d
November 32
100%
106d (~15wk) → March 71–140d
December 52
100%
78d (~11wk) → March 46–118d

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 81 100% 118
Tuesday 69 100% 113
Wednesday 70 94.3% 134
Thursday 47 100% 145
Friday 66 98.5% 109
⚖️ 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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