💡 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

📊 Bath

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: 21 decisions). Avoid submitting in March (93.3% approval).
⚖️ What this council's headline is made of. 45.8% of its typed decisions are tree consents, condition discharges and amendments — consent administration that approves at 98.4%. On actual development decisions the approval rate is 95.7% (878 decisions), 2.7 points lower than the mixed figure.
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
January
Apps submitted then → 100.0% approval (21 decisions)
⚠️ Avoid SUBMITTING In
March
Apps submitted then → 93.3% approval (15 decisions)
⚡ Submit For Fastest Decision
July
Apps submitted then → avg 31 days to decision
🎯 Inverse view — "I want a decision in [month], when do I submit?"

Based on this LPA's typical decision-lag of 26 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 93.3%
May Submit by end of Apr 100%
Jun Submit by end of May 100%
Jul Submit by end of Jun 100%
Aug Submit by end of Jul 100%
Sep Submit by end of Aug 100%
Oct Submit by end of Sep —
Nov Submit by end of Oct —
Dec Submit by end of Nov —

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 Bath. 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 (35 days). Slowest: Heritage / LB (98 days).

Application type Decisions Approval rate Avg days Range
Tree Works / TPO 565 99.8% 35 d (5 wk) 0–202 d Filter ▸
Full / Major 536 97.8% 74 d (11 wk) 28–356 d Filter ▸
Heritage / LB 175 97.1% 98 d (14 wk) 36–238 d Filter ▸
Amendment / NMA 112 99.1% 41 d (6 wk) 1–251 d ✕ clear
Discharge Conditions 65 84.6% 86 d (12 wk) 29–295 d Filter ▸
Advertisement 39 94.9% 76 d (11 wk) 45–155 d Filter ▸

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

📅 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 21
100%
44d (~6wk) → February 1–251d
February 18
100%
49d (~7wk) → April 8–137d
March 15
93.3%
41d (~6wk) → April 7–78d
April 15
100%
39d (~6wk) → May 7–138d
May 16
100%
41d (~6wk) → June 2–115d
June 13
100%
43d (~6wk) → July 21–85d
July 9
100%
31d (~4wk) → August 22–49d
December 3
100%
27d (~4wk) → January 18–36d

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 23 95.7% 37
Tuesday 21 100% 36
Wednesday 23 100% 36
Thursday 21 100% 44
Friday 24 100% 51
⚖️ 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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