🗓 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.
📊 Barking and Dagenham
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.
⏱ Decision speed by application type
How long different application types actually take at Barking and Dagenham. 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 (63 days). Slowest: Advertisement (170 days).
| Application type | Decisions | Approval rate | Avg days | Range | |
|---|---|---|---|---|---|
| Full / Major | 101 | 72.3% | 117 d (17 wk) | 35–289 d | Filter ▸ |
| Householder | 51 | 94.1% | 82 d (12 wk) | 32–317 d | Filter ▸ |
| Advertisement | 38 | 36.8% | 170 d (24 wk) | 53–239 d | Filter ▸ |
| Conservation Area | 16 | 93.8% | 63 d (9 wk) | 47–100 d | Filter ▸ |
| Lawful Development | 13 | 92.3% | 67 d (10 wk) | 49–128 d | Filter ▸ |
| Listed Building | 10 | 100% | 88 d (13 wk) | 56–130 d | Filter ▸ |
| Prior Approval (low sample) | 2 | 100% | 268 d (38 wk) | 216–319 d | Filter ▸ |
| Change of Use (low sample) | 2 | 100% | 268 d (38 wk) | 216–319 d | ✕ clear |
ⓘ Month-by-month stats above are filtered to Change of Use 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 |
|---|
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 |
|---|
📊 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.