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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: April — apps submitted then end up with 83.9% approval (sample: 93 decisions). Avoid submitting in July (63.2% approval).
🏆 Best SUBMIT Month
April
Apps submitted then → 83.9% approval (93 decisions)
⚠️ Avoid SUBMITTING In
July
Apps submitted then → 63.2% approval (57 decisions)
⚡ Submit For Fastest Decision
January
Apps submitted then → avg 57 days to decision
🎯 Inverse view — "I want a decision in [month], when do I submit?"

Based on this LPA's typical decision-lag of 84 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 79.5%
Feb Submit by end of Nov 76.2%
Mar Submit by end of Dec 70.4%
Apr Submit by end of Jan 69.7%
May Submit by end of Feb 81.8%
Jun Submit by end of Mar 74.5%
Jul Submit by end of Apr 83.9%
Aug Submit by end of May 79.3%
Sep Submit by end of Jun 83.5%
Oct Submit by end of Jul 63.2%
Nov Submit by end of Aug 65.4%
Dec Submit by end of Sep 78.9%

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 ✕ clear
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 Filter ▸
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 Full / Major only. The table above always shows all types so you can compare.

🤔
Submit-now-or-wait recommendation
BORDERLINE
Current month (August): 65.4% approval. Best (April): 83.9%. Best is too far away — submit now.
Current month's decision speed: ~182 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 772
69.7%
57d (~8wk) → March 22–356d
February 258
81.8%
64d (~9wk) → April 11–361d
March 51
74.5%
188d (~27wk) → September 1–365d
April 93
83.9%
143d (~20wk) → September 41–365d
May 169
79.3%
107d (~15wk) → September 16–317d
June 139
83.5%
147d (~21wk) → November 5–294d
July 57
63.2%
212d (~30wk) (outlier) → February 8–323d
August 26
65.4%
182d (~26wk) → February 126–328d
September 133
78.9%
148d (~21wk) → February 98–305d
October 400
79.5%
116d (~17wk) → February 59–248d
November 844
76.2%
75d (~11wk) → February 38–210d
December 1,042
70.4%
65d (~9wk) → February 23–225d

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
Sunday 21 71.4% 133
Monday 988 72.7% 107
Tuesday 862 78.8% 111
Wednesday 866 72.3% 113
Thursday 742 77.8% 108
Friday 763 77.5% 108
Saturday 55 69.1% 67

🌍 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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