🗓 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.
📊 Islington
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 79 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 | 93.3% |
| Feb | Submit by end of Nov | 93.8% |
| Mar | Submit by end of Dec | 79.2% |
| Apr | Submit by end of Jan | 86.4% |
| 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 | — |
| 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 Islington. 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 (17 days). Slowest: Listed Building (95 days).
| Application type | Decisions | Approval rate | Avg days | Range | |
|---|---|---|---|---|---|
| Full / Major | 217 | 68.7% | 74 d (11 wk) | 38–345 d | Filter ▸ |
| Conservation Area | 120 | 95% | 17 d (2 wk) | 0–159 d | Filter ▸ |
| Advertisement | 95 | 46.3% | 63 d (9 wk) | 38–328 d | Filter ▸ |
| Householder | 91 | 89% | 85 d (12 wk) | 43–291 d | ✕ clear |
| Listed Building | 91 | 90.1% | 95 d (14 wk) | 35–345 d | Filter ▸ |
| Prior Approval | 10 | 60% | 58 d (8 wk) | 51–76 d | Filter ▸ |
| Change of Use (low sample) | 7 | 42.9% | 58 d (8 wk) | 51–76 d | Filter ▸ |
| Lawful Development (low sample) | 3 | 0% | 65 d (9 wk) | 48–76 d | Filter ▸ |
| Outline (low sample) | 1 | 0% | 64 d (9 wk) | 64–64 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 | 22 |
86.4%
|
55d (~8wk) | → March | 48–78d |
| February | 3 |
100%
|
46d (~7wk) | → April | 43–47d |
| September | 6 |
100%
|
146d (~21wk) | → February | 127–170d |
| October | 15 |
93.3%
|
108d (~15wk) | → February | 85–159d |
| November | 16 |
93.8%
|
75d (~11wk) | → February | 52–127d |
| December | 24 |
79.2%
|
62d (~9wk) | → February | 43–96d |
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 | 22 | 81.8% | 77 |
| Tuesday | 19 | 94.7% | 69 |
| Wednesday | 14 | 85.7% | 82 |
| Thursday | 17 | 100% | 80 |
| Friday | 19 | 84.2% | 116 |
📊 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.