💡 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

📊 Falkirk

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: 8 decisions). Avoid submitting in February (90.0% approval).
🏆 Best SUBMIT Month
January
Apps submitted then → 100.0% approval (8 decisions)
⚠️ Avoid SUBMITTING In
February
Apps submitted then → 90.0% approval (30 decisions)
⚡ Submit For Fastest Decision
August
Apps submitted then → avg 58 days to decision
🎯 Inverse view — "I want a decision in [month], when do I submit?"

Based on this LPA's typical decision-lag of 121 days (~4 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 Sep 100%
Feb Submit by end of Oct 95.3%
Mar Submit by end of Nov 91.3%
Apr Submit by end of Dec 100%
May Submit by end of Jan 100%
Jun Submit by end of Feb 90%
Jul Submit by end of Mar 91.8%
Aug Submit by end of Apr 96.2%
Sep Submit by end of May 100%
Oct Submit by end of Jun 100%
Nov Submit by end of Jul 100%
Dec Submit by end of Aug 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 Falkirk. 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: Advertisement (67 days). Slowest: Discharge Conditions (84 days).

Application type Decisions Approval rate Avg days Range
Full / Major 297 98% 80 d (11 wk) 2–326 d Filter ▸
Heritage / LB 20 95% 81 d (12 wk) 2–313 d Filter ▸
Advertisement 18 100% 67 d (10 wk) 30–165 d Filter ▸
Discharge Conditions 10 80% 84 d (12 wk) 8–203 d Filter ▸
Amendment / NMA (low sample) 1 100% 52 d (7 wk) 52–52 d Filter ▸
⏸
Submit-now-or-wait recommendation
CONSIDER WAITING
Current month (November) has 91.3% approval. Best month (January) is only 2 month(s) away with 100% — a 8.7pp uplift for a short wait. Worth pausing if your scheme isn't urgent.
Current month's decision speed: ~91 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 8
100%
124d (~18wk) → May 64–251d
February 30
90%
74d (~11wk) → April 32–234d
March 49
91.8%
80d (~11wk) → June 29–204d
April 26
96.2%
96d (~14wk) → July 30–167d
May 24
100%
104d (~15wk) → August 8–302d
June 62
100%
68d (~10wk) → August 38–219d
July 58
100%
62d (~9wk) → September 21–249d
August 22
100%
58d (~8wk) → October 4–277d
September 25
100%
71d (~10wk) → November 2–200d
October 64
95.3%
76d (~11wk) → January 2–326d
November 23
91.3%
91d (~13wk) → February 3–313d
December 10
100%
162d (~23wk) → May 39–254d

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 107 95.3% 84
Tuesday 83 98.8% 90
Wednesday 79 92.4% 114
Thursday 76 97.4% 95
Friday 65 100% 73
⚖️ 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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