💡 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

📊 Armagh Banbridge Craigavon

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: 19 decisions). Avoid submitting in September (83.3% approval).
🏆 Best SUBMIT Month
January
Apps submitted then → 100.0% approval (19 decisions)
⚠️ Avoid SUBMITTING In
September
Apps submitted then → 83.3% approval (12 decisions)
⚡ Submit For Fastest Decision
June
Apps submitted then → avg 107 days to decision
🎯 Inverse view — "I want a decision in [month], when do I submit?"

Based on this LPA's typical decision-lag of 176 days (~6 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 Jul 100%
Feb Submit by end of Aug 100%
Mar Submit by end of Sep 83.3%
Apr Submit by end of Oct 100%
May Submit by end of Nov 86.4%
Jun Submit by end of Dec 88.9%
Jul Submit by end of Jan 100%
Aug Submit by end of Feb 100%
Sep Submit by end of Mar 100%
Oct Submit by end of Apr 94.1%
Nov Submit by end of May 100%
Dec Submit by end of Jun 91.7%

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 Armagh Banbridge Craigavon. 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 (69 days). Slowest: Advertisement (158 days).

Application type Decisions Approval rate Avg days Range
Full / Major 122 98.4% 145 d (21 wk) 38–325 d Filter ▸
Amendment / NMA 13 84.6% 69 d (10 wk) 8–230 d Filter ▸
Advertisement 9 88.9% 158 d (23 wk) 68–266 d Filter ▸
Discharge Conditions (low sample) 2 0% 121 d (17 wk) 51–190 d Filter ▸
Heritage / LB (low sample) 2 100% 227 d (32 wk) 221–232 d Filter ▸
⏸
Submit-now-or-wait recommendation
CONSIDER WAITING
Current month (November) has 86.4% approval. Best month (January) is only 2 month(s) away with 100% — a 13.6pp uplift for a short wait. Worth pausing if your scheme isn't urgent.
Current month's decision speed: ~170 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 19
100%
140d (~20wk) → June 8–226d
February 20
100%
116d (~17wk) → June 87–192d
March 20
100%
123d (~18wk) → July 49–308d
April 17
94.1%
126d (~18wk) → August 44–303d
May 28
100%
108d (~15wk) → September 6–254d
June 12
91.7%
107d (~15wk) → October 6–232d
July 7
100%
183d (~26wk) → January 19–307d
August 5
100%
174d (~25wk) → February 139–281d
September 12
83.3%
213d (~30wk) (outlier) → April 109–276d
October 28
100%
158d (~23wk) → March 75–333d
November 22
86.4%
170d (~24wk) → May 50–312d
December 18
88.9%
188d (~27wk) → June 36–270d

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 74 98.6% 191
Tuesday 71 95.8% 190
Wednesday 49 98% 168
Thursday 68 97.1% 208
Friday 63 95.2% 180
⚖️ 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.
Ask Planning Agent
🧭Guide me