🗓 Submission Timing Intelligence
When is the best month — and weekday — to submit your planning application? Real approval-rate + decision-speed data from 144,156 dated decisions across UK LPAs.
📊 Chorley
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.
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.
🎯 Inverse view — "I want a decision in [month], when do I submit?"
Based on this LPA's typical decision-lag of 69 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 | 100% |
| Feb | Submit by end of Dec | 66.7% |
| Mar | Submit by end of Jan | 100% |
| Apr | Submit by end of Feb | 100% |
| May | Submit by end of Mar | 100% |
| Jun | Submit by end of Apr | 100% |
| Jul | Submit by end of May | 85.7% |
| Aug | Submit by end of Jun | 100% |
| Sep | Submit by end of Jul | 100% |
| Oct | Submit by end of Aug | 100% |
| Nov | Submit by end of Sep | 93.8% |
| Dec | Submit by end of Oct | 80% |
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 Chorley. 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: Amendment / NMA (51 days). Slowest: Heritage / LB (141 days).
| Application type | Decisions | Approval rate | Avg days | Range | |
|---|---|---|---|---|---|
| Full / Major | 364 | 90.7% | 100 d (14 wk) | 30–349 d | Filter ▸ |
| Tree Works / TPO | 96 | 95.8% | 63 d (9 wk) | 14–201 d | ✕ clear |
| Amendment / NMA | 44 | 93.2% | 51 d (7 wk) | 13–189 d | Filter ▸ |
| Advertisement | 16 | 100% | 74 d (11 wk) | 51–205 d | Filter ▸ |
| Heritage / LB | 12 | 91.7% | 141 d (20 wk) | 55–293 d | Filter ▸ |
| Lawful Development (low sample) | 6 | 33.3% | 48 d (7 wk) | 33–56 d | Filter ▸ |
| Discharge Conditions (low sample) | 4 | 0% | 162 d (23 wk) | 143–185 d | Filter ▸ |
| Householder (low sample) | 3 | 66.7% | 90 d (13 wk) | 55–159 d | Filter ▸ |
| Prior Approval (low sample) | 2 | 50% | 28 d (4 wk) | 1–55 d | Filter ▸ |
| Listed Building (low sample) | 1 | 0% | 56 d (8 wk) | 56–56 d | Filter ▸ |
ⓘ Month-by-month stats above are filtered to Tree Works / TPO 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 |
|---|---|---|---|---|---|
| February | 4 |
100%
|
55d (~8wk) | → April | 41–67d |
| March | 3 |
100%
|
46d (~7wk) | → May | 45–46d |
| April | 7 |
100%
|
83d (~12wk) | → July | 58–201d |
| May | 7 |
85.7%
|
63d (~9wk) | → July | 34–87d |
| June | 12 |
100%
|
83d (~12wk) | → September | 46–167d |
| July | 13 |
100%
|
55d (~8wk) | → September | 14–138d |
| August | 16 |
100%
|
45d (~6wk) | → October | 32–79d |
| September | 16 |
93.8%
|
53d (~8wk) | → November | 16–73d |
| October | 5 |
80%
|
72d (~10wk) | → December | 44–99d |
| November | 8 |
100%
|
86d (~12wk) | → February | 77–96d |
| December | 3 |
66.7%
|
64d (~9wk) | → February | 57–72d |
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 | 17 | 100% | 52 |
| Tuesday | 18 | 88.9% | 74 |
| Wednesday | 10 | 100% | 63 |
| Thursday | 21 | 100% | 65 |
| Friday | 23 | 100% | 73 |
| Saturday | 6 | 83.3% | 70 |
📊 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)
144,156 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.