💡 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

📊 Isle of Man

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: February — apps submitted then end up with 96.8% approval (sample: 31 decisions). Avoid submitting in October (91.5% approval).
🏆 Best SUBMIT Month
February
Apps submitted then → 96.8% approval (31 decisions)
⚠️ Avoid SUBMITTING In
October
Apps submitted then → 91.5% approval (165 decisions)
⚡ Submit For Fastest Decision
June
Apps submitted then → avg 63 days to decision
🎯 Inverse view — "I want a decision in [month], when do I submit?"

Based on this LPA's typical decision-lag of 75 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 91.5%
Feb Submit by end of Nov 92.6%
Mar Submit by end of Dec 92%
Apr Submit by end of Jan 92.8%
May Submit by end of Feb 96.8%
Jun Submit by end of Mar 96.3%
Jul Submit by end of Apr 94.3%
Aug Submit by end of May 96.7%
Sep Submit by end of Jun 93.1%
Oct Submit by end of Jul 94.1%
Nov Submit by end of Aug 92.4%
Dec Submit by end of Sep 91.6%

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 Isle of Man. 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: Discharge Conditions (58 days). Slowest: Heritage / LB (87 days).

Application type Decisions Approval rate Avg days Range
Full / Major 930 93.2% 75 d (11 wk) 27–357 d Filter ▸
Amendment / NMA 66 90.9% 70 d (10 wk) 30–219 d Filter ▸
Heritage / LB 29 96.6% 87 d (12 wk) 31–313 d Filter ▸
Advertisement 26 96.2% 69 d (10 wk) 30–195 d Filter ▸
Discharge Conditions 20 95% 58 d (8 wk) 3–251 d Filter ▸
🤔
Submit-now-or-wait recommendation
BORDERLINE
Current month (November): 92.6% approval. Best (February): 96.8%. Wait if scheme is borderline; submit now if confident.
Current month's decision speed: ~75 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 97
92.8%
82d (~12wk) → April 28–312d
February 31
96.8%
89d (~13wk) → May 48–313d
March 27
96.3%
71d (~10wk) → May 33–159d
April 35
94.3%
108d (~15wk) → August 82–141d
May 30
96.7%
97d (~14wk) → August 49–334d
June 116
93.1%
63d (~9wk) → August 27–334d
July 169
94.1%
69d (~10wk) → September 3–357d
August 131
92.4%
70d (~10wk) → October 34–336d
September 107
91.6%
78d (~11wk) → December 32–286d
October 165
91.5%
70d (~10wk) → December 29–287d
November 121
92.6%
75d (~11wk) → February 16–336d
December 100
92%
78d (~11wk) → March 30–258d

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
Sunday 6 83.3% 63
Monday 227 89.9% 94
Tuesday 254 92.9% 78
Wednesday 223 92.8% 95
Thursday 219 90.9% 88
Friday 219 94.5% 86
Saturday 6 100% 72
⚖️ 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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