🗓 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.
📊 Southwark
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 | 90.9% |
| Feb | Submit by end of Nov | 93.8% |
| Mar | Submit by end of Dec | 100% |
| Apr | Submit by end of Jan | 86.7% |
| May | Submit by end of Feb | 85.7% |
| Jun | Submit by end of Mar | 100% |
| Jul | Submit by end of Apr | 100% |
| Aug | Submit by end of May | — |
| Sep | Submit by end of Jun | 100% |
| Oct | Submit by end of Jul | 100% |
| Nov | Submit by end of Aug | — |
| Dec | Submit by end of Sep | 100% |
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 Southwark. 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: Conservation Area (41 days). Slowest: Advertisement (87 days).
| Application type | Decisions | Approval rate | Avg days | Range | |
|---|---|---|---|---|---|
| Householder | 150 | 94% | 58 d (8 wk) | 26–164 d | Filter ▸ |
| Full / Major | 146 | 93.2% | 82 d (12 wk) | 28–365 d | ✕ clear |
| Conservation Area | 103 | 98.1% | 41 d (6 wk) | 13–365 d | Filter ▸ |
| Lawful Development | 52 | 94.2% | 52 d (7 wk) | 7–240 d | Filter ▸ |
| Listed Building | 49 | 98% | 72 d (10 wk) | 38–276 d | Filter ▸ |
| Advertisement | 23 | 87% | 87 d (12 wk) | 41–349 d | Filter ▸ |
| Prior Approval (low sample) | 7 | 100% | 37 d (5 wk) | 9–52 d | Filter ▸ |
| Change of Use (low sample) | 1 | 100% | 28 d (4 wk) | 28–28 d | Filter ▸ |
ⓘ Month-by-month stats above are filtered to Full / Major 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 | 45 |
86.7%
|
54d (~8wk) | → March | 29–84d |
| February | 14 |
85.7%
|
45d (~6wk) | → April | 28–54d |
| June | 7 |
100%
|
232d (~33wk) (outlier) | → February | 199–276d |
| July | 3 |
100%
|
214d (~31wk) (outlier) | → February | 196–240d |
| September | 3 |
100%
|
155d (~22wk) | → February | 140–164d |
| October | 11 |
90.9%
|
115d (~16wk) | → February | 82–157d |
| November | 16 |
93.8%
|
83d (~12wk) | → February | 52–122d |
| December | 43 |
100%
|
55d (~8wk) | → February | 38–91d |
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 | 38 | 94.7% | 122 |
| Tuesday | 27 | 96.3% | 104 |
| Wednesday | 37 | 89.2% | 96 |
| Thursday | 29 | 93.1% | 102 |
| Friday | 26 | 96.2% | 171 |
📊 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.