💡 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 144,156 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

📊 Arun

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 88.9% approval (sample: 9 decisions). Avoid submitting in June (83.3% approval).
⚖️ What this council's headline is made of. 37.1% of its typed decisions are tree consents, condition discharges and amendments — consent administration that approves at 87.1%. On actual development decisions the approval rate is 89.8% (459 decisions).
Use the type chips above to filter to the application type you are actually making — and treat cross-council comparisons of the mixed number with care, since the mix depends on which source fed each council.
🏆 Best SUBMIT Month
October
Apps submitted then → 88.9% approval (9 decisions)
⚠️ Avoid SUBMITTING In
June
Apps submitted then → 83.3% approval (12 decisions)
⚡ Submit For Fastest Decision
June
Apps submitted then → avg 38 days to decision
🎯 Inverse view — "I want a decision in [month], when do I submit?"

Based on this LPA's typical decision-lag of 36 days (~1 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 Dec 100%
Feb Submit by end of Jan 100%
Mar Submit by end of Feb 100%
Apr Submit by end of Mar 100%
May Submit by end of Apr 100%
Jun Submit by end of May 100%
Jul Submit by end of Jun 83.3%
Aug Submit by end of Jul 100%
Sep Submit by end of Aug 83.3%
Oct Submit by end of Sep 100%
Nov Submit by end of Oct 88.9%
Dec Submit by end of Nov 66.7%

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 Arun. 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 (38 days). Slowest: Full / Major (72 days).

Application type Decisions Approval rate Avg days Range
Full / Major 356 90.7% 72 d (10 wk) 34–344 d Filter ▸
Discharge Conditions 123 82.9% 65 d (9 wk) 5–331 d Filter ▸
Tree Works / TPO 91 91.2% 50 d (7 wk) 31–91 d Filter ▸
Amendment / NMA 57 89.5% 38 d (5 wk) 3–112 d ✕ clear
Advertisement 15 86.7% 63 d (9 wk) 49–130 d Filter ▸
Heritage / LB 14 85.7% 70 d (10 wk) 51–119 d Filter ▸

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

🤔
Submit-now-or-wait recommendation
BORDERLINE
Current month (November): 66.7% approval. Best (October): 88.9%. Best is too far away — submit now.
Current month's decision speed: ~30 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 6
100%
13d (~2wk) → January 3–23d
March 4
100%
36d (~5wk) → April 25–57d
April 3
100%
26d (~4wk) → May 22–28d
June 12
83.3%
38d (~5wk) → July 11–85d
August 6
83.3%
22d (~3wk) → September 6–32d
October 9
88.9%
63d (~9wk) → December 47–78d
November 6
66.7%
30d (~4wk) → December 22–42d
December 4
100%
30d (~4wk) → January 6–54d

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 9 100% 34
Tuesday 13 100% 42
Wednesday 19 84.2% 46
Thursday 7 71.4% 29
Friday 6 100% 27
⚖️ 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)
    144,156 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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