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🗓 Submission Timing Intelligence

When is the best month — and weekday — to submit your planning application? Real approval-rate + decision-speed data from 25,848 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

📊 Hillingdon

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 95.8% approval (sample: 48 decisions). Avoid submitting in December (87.2% approval).
🏆 Best SUBMIT Month
January
Apps submitted then → 95.8% approval (48 decisions)
⚠️ Avoid SUBMITTING In
December
Apps submitted then → 87.2% approval (47 decisions)
⚡ Submit For Fastest Decision
February
Apps submitted then → avg 40 days to decision
🎯 Inverse view — "I want a decision in [month], when do I submit?"

Based on this LPA's typical decision-lag of 49 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 88.2%
Feb Submit by end of Dec 87.2%
Mar Submit by end of Jan 95.8%
Apr Submit by end of Feb 95.2%
May Submit by end of Mar 100%
Jun Submit by end of Apr
Jul Submit by end of May
Aug Submit by end of Jun 100%
Sep Submit by end of Jul
Oct Submit by end of Aug
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 Hillingdon. 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: Prior Approval (41 days). Slowest: Full / Major (85 days).

Application type Decisions Approval rate Avg days Range
Householder 288 89.9% 67 d (10 wk) 28–268 d Filter ▸
Lawful Development 136 91.9% 50 d (7 wk) 7–270 d ✕ clear
Full / Major 96 66.7% 85 d (12 wk) 38–343 d Filter ▸
Prior Approval 33 93.9% 41 d (6 wk) 25–116 d Filter ▸
Conservation Area 28 85.7% 61 d (9 wk) 32–113 d Filter ▸
Advertisement 24 91.7% 63 d (9 wk) 50–95 d Filter ▸
Listed Building 11 100% 64 d (9 wk) 44–87 d Filter ▸

ⓘ Month-by-month stats above are filtered to Lawful Development 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 -4.2pp below the best month. Not worth waiting.
Current month's decision speed: ~270 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 48
95.8%
44d (~6wk) → February 7–66d
February 21
95.2%
40d (~6wk) → March 10–56d
November 17
88.2%
56d (~8wk) → January 39–78d
December 47
87.2%
55d (~8wk) → February 26–111d

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 44 95.5% 49
Tuesday 23 87% 44
Wednesday 27 88.9% 56
Thursday 14 92.9% 55
Friday 28 92.9% 47
⚖️ 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)
    25,848 dated decisions where both received_date and decision_type are known. 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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