💡 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

📊 Broxbourne

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 97.4% approval (sample: 38 decisions). Avoid submitting in February (58.3% approval).
⚖️ What this council's headline is made of. 31.6% of its typed decisions are tree consents, condition discharges and amendments — consent administration that approves at 94.2%. On actual development decisions the approval rate is 67.7% (186 decisions), 26.5 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
November
Apps submitted then → 97.4% approval (38 decisions)
⚠️ Avoid SUBMITTING In
February
Apps submitted then → 58.3% approval (12 decisions)
⚡ Submit For Fastest Decision
September
Apps submitted then → avg 32 days to decision
🎯 Inverse view — "I want a decision in [month], when do I submit?"

Based on this LPA's typical decision-lag of 46 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 97.4%
Feb Submit by end of Dec 70%
Mar Submit by end of Jan 94.1%
Apr Submit by end of Feb 58.3%
May Submit by end of Mar 63.2%
Jun Submit by end of Apr 78.3%
Jul Submit by end of May 62.5%
Aug Submit by end of Jun 60%
Sep Submit by end of Jul 64.7%
Oct Submit by end of Aug 82.4%
Nov Submit by end of Sep 87%
Dec Submit by end of Oct 72.4%

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 Broxbourne. 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 (23 days). Slowest: Amendment / NMA (96 days).

Application type Decisions Approval rate Avg days Range
Tree Works / TPO 74 95.9% 23 d (3 wk) 1–112 d Filter ▸
Full / Major 47 4.3% 94 d (13 wk) 48–274 d Filter ▸
Amendment / NMA 11 81.8% 96 d (14 wk) 26–287 d Filter ▸
Heritage / LB (low sample) 5 0% 91 d (13 wk) 56–171 d Filter ▸
Discharge Conditions (low sample) 1 100% 53 d (8 wk) 53–53 d Filter ▸
🚀
Submit-now-or-wait recommendation
SUBMIT NOW
You're in the best month already (November, 97.4% approval). No reason to wait.
Current month's decision speed: ~42 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 17
94.1%
44d (~6wk) → February 2–147d
February 12
58.3%
89d (~13wk) → May 6–286d
March 19
63.2%
75d (~11wk) → June 19–274d
April 23
78.3%
83d (~12wk) → July —
May 24
62.5%
64d (~9wk) → July 2–155d
June 25
60%
81d (~12wk) → September 56–123d
July 34
64.7%
65d (~9wk) → September 16–213d
August 34
82.4%
43d (~6wk) → September 4–141d
September 23
87%
32d (~5wk) → October 9–112d
October 29
72.4%
46d (~7wk) → December 1–80d
November 38
97.4%
42d (~6wk) → December 14–78d
December 10
70%
49d (~7wk) → February 27–66d

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 77 75.3% 59
Tuesday 65 78.5% 60
Wednesday 61 77% 63
Thursday 47 80.9% 47
Friday 38 63.2% 66
⚖️ 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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