💡 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

📊 Aberdeenshire

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: April — apps submitted then end up with 100.0% approval (sample: 27 decisions). Avoid submitting in March (91.3% approval).
🏆 Best SUBMIT Month
April
Apps submitted then → 100.0% approval (27 decisions)
⚠️ Avoid SUBMITTING In
March
Apps submitted then → 91.3% approval (46 decisions)
⚡ Submit For Fastest Decision
July
Apps submitted then → avg 59 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 94.9%
Feb Submit by end of Nov 93.8%
Mar Submit by end of Dec 96.7%
Apr Submit by end of Jan 94.6%
May Submit by end of Feb 92.5%
Jun Submit by end of Mar 91.3%
Jul Submit by end of Apr 100%
Aug Submit by end of May 94.6%
Sep Submit by end of Jun 96.2%
Oct Submit by end of Jul 96.5%
Nov Submit by end of Aug 99%
Dec Submit by end of Sep 98.8%

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 Aberdeenshire. 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 (40 days). Slowest: Discharge Conditions (106 days).

Application type Decisions Approval rate Avg days Range
Full / Major 562 96.6% 96 d (14 wk) 26–356 d Filter ▸
Tree Works / TPO 50 94% 40 d (6 wk) 4–140 d Filter ▸
Heritage / LB 45 93.3% 85 d (12 wk) 37–307 d Filter ▸
Advertisement 22 100% 62 d (9 wk) 35–98 d Filter ▸
Discharge Conditions 16 100% 106 d (15 wk) 54–250 d Filter ▸
Prior Approval (low sample) 4 75% 36 d (5 wk) 27–58 d Filter ▸
Listed Building (low sample) 3 33.3% 148 d (21 wk) 42–231 d Filter ▸
Conservation Area (low sample) 3 100% 32 d (5 wk) 31–32 d Filter ▸
Lawful Development (low sample) 1 100% 41 d (6 wk) 41–41 d Filter ▸
🤔
Submit-now-or-wait recommendation
BORDERLINE
Current month (November): 93.8% approval. Best (April): 100%. Wait if scheme is borderline; submit now if confident.
Current month's decision speed: ~73 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 56
94.6%
79d (~11wk) → April 11–312d
February 53
92.5%
88d (~13wk) → May 21–238d
March 46
91.3%
127d (~18wk) → July 2–319d
April 27
100%
158d (~23wk) → September 91–356d
May 74
94.6%
108d (~15wk) → September 25–304d
June 105
96.2%
71d (~10wk) → August 21–280d
July 113
96.5%
59d (~8wk) → September 7–244d
August 96
99%
79d (~11wk) → November 5–236d
September 85
98.8%
70d (~10wk) → November 4–211d
October 59
94.9%
92d (~13wk) → January 16–343d
November 81
93.8%
73d (~10wk) → January —
December 60
96.7%
77d (~11wk) → March 7–330d

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 183 94% 101
Tuesday 182 94.5% 95
Wednesday 187 95.2% 98
Thursday 164 96.3% 116
Friday 167 94.6% 94
⚖️ 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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