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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

📊 National (all LPAs)

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: November — apps submitted then end up with 84.2% approval (sample: 177 decisions). Avoid submitting in July (12.5% approval).
🏆 Best SUBMIT Month
November
Apps submitted then → 84.2% approval (177 decisions)
⚠️ Avoid SUBMITTING In
July
Apps submitted then → 12.5% approval (16 decisions)
⚡ Submit For Fastest Decision
January
Apps submitted then → avg 50 days to decision
🎯 Inverse view — "I want a decision in [month], when do I submit?"

Based on this LPA's typical decision-lag of 82 days (~3 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 Oct 75.8%
Feb Submit by end of Nov 84.2%
Mar Submit by end of Dec 53.3%
Apr Submit by end of Jan 75.9%
May Submit by end of Feb 83.7%
Jun Submit by end of Mar 75%
Jul Submit by end of Apr 72.7%
Aug Submit by end of May 83.3%
Sep Submit by end of Jun 55%
Oct Submit by end of Jul 12.5%
Nov Submit by end of Aug 33.3%
Dec Submit by end of Sep 81.3%

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 National (all LPAs). 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: Outline (39 days). Slowest: Listed Building (102 days).

Application type Decisions Approval rate Avg days Range
Householder 4,349 86.8% 67 d (10 wk) 1–365 d Filter ▸
Full / Major 3,984 74.5% 84 d (12 wk) 1–365 d Filter ▸
Lawful Development 2,341 84.4% 47 d (7 wk) 0–337 d Filter ▸
Conservation Area 1,255 87.3% 50 d (7 wk) 0–365 d Filter ▸
Listed Building 1,013 90.2% 102 d (15 wk) 7–356 d Filter ▸
Advertisement 943 69.8% 73 d (10 wk) 5–349 d ✕ clear
Prior Approval 786 67.4% 42 d (6 wk) 0–345 d Filter ▸
Outline 141 91.5% 39 d (6 wk) 0–361 d Filter ▸
Discharge Conditions 126 91.3% 47 d (7 wk) 3–337 d Filter ▸
Change of Use 78 66.7% 84 d (12 wk) 23–319 d Filter ▸
Reserved Matters (low sample) 6 83.3% 151 d (22 wk) 15–361 d Filter ▸

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

🤔
Submit-now-or-wait recommendation
BORDERLINE
Current month (August): 33.3% approval. Best (November): 84.2%. Wait if scheme is borderline; submit now if confident.
Current month's decision speed: ~167 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 199
75.9%
50d (~7wk) → March 8–81d
February 92
83.7%
51d (~7wk) → April 10–332d
March 28
75%
57d (~8wk) → May 5–349d
April 11
72.7%
101d (~14wk) → July 18–341d
May 12
83.3%
157d (~22wk) → October 43–314d
June 20
55%
148d (~21wk) → November 14–285d
July 16
12.5%
220d (~31wk) (outlier) → February 201–225d
August 3
33.3%
167d (~24wk) → February 133–184d
September 32
81.3%
136d (~19wk) → February 120–177d
October 62
75.8%
116d (~17wk) → February 69–175d
November 177
84.2%
75d (~11wk) → February 38–132d
December 291
53.3%
62d (~9wk) → February 8–181d

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 277 58.5% 72
Tuesday 160 84.4% 74
Wednesday 190 64.7% 79
Thursday 172 73.8% 96
Friday 141 78% 75
Saturday 16 75% 8

🌍 National picture — all 25,848 dated decisions

The broader pattern: March has the highest approval rate in our corpus; July the lowest. Pick an LPA above to see council-specific timing.

Received inDecisionsApproval rateAvg days
January 4,142
83.5%
46
February 2,191
87.1%
41
March 584
89.6%
53
April 301
86.4%
122
May 726
86.6%
82
June 821
90.5%
82
July 380
86.6%
135
August 295
87.1%
180
September 560
90%
146
October 1,342
86.4%
111
November 3,590
84.1%
70
December 4,530
81.5%
56
⚖️ 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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