💡 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

📊 Derry and Strabane

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: 12 decisions). Avoid submitting in October (87.5% approval).
🏆 Best SUBMIT Month
January
Apps submitted then → 100.0% approval (12 decisions)
⚠️ Avoid SUBMITTING In
October
Apps submitted then → 87.5% approval (8 decisions)
⚡ Submit For Fastest Decision
February
Apps submitted then → avg 109 days to decision
🎯 Inverse view — "I want a decision in [month], when do I submit?"

Based on this LPA's typical decision-lag of 152 days (~5 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 Aug 100%
Feb Submit by end of Sep 100%
Mar Submit by end of Oct 87.5%
Apr Submit by end of Nov 100%
May Submit by end of Dec 100%
Jun Submit by end of Jan 100%
Jul Submit by end of Feb 95.2%
Aug Submit by end of Mar 100%
Sep Submit by end of Apr 100%
Oct Submit by end of May 100%
Nov Submit by end of Jun 100%
Dec Submit by end of Jul 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 Derry and Strabane. 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 (80 days). Slowest: Heritage / LB (173 days).

Application type Decisions Approval rate Avg days Range
Full / Major 210 99% 130 d (19 wk) 39–363 d ✕ clear
Advertisement 13 100% 139 d (20 wk) 41–266 d Filter ▸
Amendment / NMA 13 84.6% 80 d (11 wk) 16–169 d Filter ▸
Heritage / LB 10 100% 173 d (25 wk) 35–352 d Filter ▸
Discharge Conditions (low sample) 7 71.4% 99 d (14 wk) 34–147 d Filter ▸

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

🚀
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: ~130 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 12
100%
195d (~28wk) → August 91–352d
February 21
95.2%
109d (~16wk) → June 61–220d
March 34
100%
115d (~16wk) → July 49–216d
April 35
100%
115d (~16wk) → August 41–287d
May 15
100%
157d (~22wk) → October 55–279d
June 16
100%
119d (~17wk) → October 45–216d
July 24
100%
120d (~17wk) → November 55–363d
August 14
100%
113d (~16wk) → December 39–340d
September 5
100%
165d (~24wk) → March 74–335d
October 8
87.5%
212d (~30wk) (outlier) → May 57–357d
November 22
100%
130d (~19wk) → March 42–311d
December 4
100%
170d (~24wk) → June 118–242d

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 8 100% 264
Monday 82 100% 160
Tuesday 74 98.6% 186
Wednesday 78 98.7% 208
Thursday 73 98.6% 223
Friday 87 98.9% 174
Saturday 8 100% 90
⚖️ 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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