🗓 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.
📊 Ealing
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.
🎯 Inverse view — "I want a decision in [month], when do I submit?"
Based on this LPA's typical decision-lag of 75 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 | 90.5% |
| Feb | Submit by end of Nov | 92% |
| Mar | Submit by end of Dec | 98.2% |
| Apr | Submit by end of Jan | 86% |
| May | Submit by end of Feb | 100% |
| Jun | Submit by end of Mar | — |
| Jul | Submit by end of Apr | 100% |
| Aug | Submit by end of May | 100% |
| Sep | Submit by end of Jun | 80% |
| Oct | Submit by end of Jul | 83.3% |
| Nov | Submit by end of Aug | 87.5% |
| Dec | Submit by end of Sep | 88.2% |
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 Ealing. 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 (39 days). Slowest: Full / Major (98 days).
| Application type | Decisions | Approval rate | Avg days | Range | |
|---|---|---|---|---|---|
| Householder | 222 | 91.4% | 88 d (13 wk) | 25–296 d | ✕ clear |
| Lawful Development | 206 | 89.3% | 54 d (8 wk) | 11–330 d | Filter ▸ |
| Full / Major | 50 | 26% | 98 d (14 wk) | 34–310 d | Filter ▸ |
| Prior Approval | 48 | 64.6% | 39 d (6 wk) | 22–111 d | Filter ▸ |
| Advertisement | 14 | 85.7% | 81 d (12 wk) | 51–264 d | Filter ▸ |
| Conservation Area (low sample) | 6 | 83.3% | 126 d (18 wk) | 51–258 d | Filter ▸ |
| Listed Building (low sample) | 2 | 100% | 157 d (22 wk) | 90–223 d | Filter ▸ |
| Change of Use (low sample) | 1 | 0% | 93 d (13 wk) | 93–93 d | Filter ▸ |
ⓘ Month-by-month stats above are filtered to Householder only. The table above always shows all types so you can compare.
📅 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 | 43 |
86%
|
49d (~7wk) | → March | 27–75d |
| February | 5 |
100%
|
37d (~5wk) | → March | 30–42d |
| May | 4 |
100%
|
283d (~40wk) (outlier) | → February | 252–296d |
| June | 10 |
80%
|
229d (~33wk) (outlier) | → February | 201–258d |
| July | 6 |
83.3%
|
194d (~28wk) | → January | 179–225d |
| August | 8 |
87.5%
|
166d (~24wk) | → February | 131–189d |
| September | 17 |
88.2%
|
144d (~21wk) | → February | 111–196d |
| October | 21 |
90.5%
|
100d (~14wk) | → January | 66–133d |
| November | 50 |
92%
|
66d (~9wk) | → January | 43–121d |
| December | 57 |
98.2%
|
57d (~8wk) | → February | 25–101d |
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 received | Decisions | Approval rate | Avg days |
|---|---|---|---|
| Monday | 52 | 92.3% | 81 |
| Tuesday | 41 | 92.7% | 84 |
| Wednesday | 37 | 81.1% | 97 |
| Thursday | 46 | 93.5% | 84 |
| Friday | 43 | 95.3% | 100 |
📊 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.