💡 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

📊 Eastleigh

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.

⚖️ What this council's headline is made of. 43.8% of its typed decisions are tree consents, condition discharges and amendments — consent administration that approves at 88.8%. On actual development decisions the approval rate is 90.2% (286 decisions).
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
August
Apps submitted then → 100.0% approval (8 decisions)
⚠️ Avoid SUBMITTING In
August
Apps submitted then → 100.0% approval (8 decisions)
⚡ Submit For Fastest Decision
August
Apps submitted then → avg 43 days to decision
🎯 Inverse view — "I want a decision in [month], when do I submit?"

Based on this LPA's typical decision-lag of 60 days (~2 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 Nov 100%
Feb Submit by end of Dec 100%
Mar Submit by end of Jan 100%
Apr Submit by end of Feb 66.7%
May Submit by end of Mar 66.7%
Jun Submit by end of Apr 100%
Jul Submit by end of May 100%
Aug Submit by end of Jun 100%
Sep Submit by end of Jul 100%
Oct Submit by end of Aug 100%
Nov Submit by end of Sep —
Dec Submit by end of Oct —

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 Eastleigh. 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 (52 days). Slowest: Heritage / LB (98 days).

Application type Decisions Approval rate Avg days Range
Full / Major 241 91.3% 86 d (12 wk) 36–344 d Filter ▸
Tree Works / TPO 151 87.4% 52 d (7 wk) 28–359 d Filter ▸
Discharge Conditions 37 94.6% 60 d (9 wk) 17–196 d ✕ clear
Amendment / NMA 35 88.6% 52 d (7 wk) 7–153 d Filter ▸
Advertisement 9 88.9% 75 d (11 wk) 34–205 d Filter ▸
Heritage / LB 9 100% 98 d (14 wk) 45–176 d Filter ▸

ⓘ Month-by-month stats above are filtered to Discharge Conditions 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: ~90 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
February 3
66.7%
120d (~17wk) → June 97–163d
March 3
66.7%
54d (~8wk) → May 48–59d
April 3
100%
41d (~6wk) → May 35–50d
June 3
100%
75d (~11wk) → September 62–82d
July 5
100%
48d (~7wk) → September 26–56d
August 8
100%
43d (~6wk) → September 19–81d
November 4
100%
90d (~13wk) → February 46–196d
December 5
100%
50d (~7wk) → February 32–81d

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 14 100% 127
Tuesday 9 88.9% 393
Wednesday 7 100% 65
Thursday 6 83.3% 55
Friday 8 100% 126
⚖️ 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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