🗓 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.
📊 Glamorgan
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 142 days (~5 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 Aug | 100% |
| Feb | Submit by end of Sep | 93.3% |
| Mar | Submit by end of Oct | 83.3% |
| Apr | Submit by end of Nov | 77.8% |
| May | Submit by end of Dec | 100% |
| Jun | Submit by end of Jan | 93.3% |
| Jul | Submit by end of Feb | 96.2% |
| Aug | Submit by end of Mar | 100% |
| Sep | Submit by end of Apr | 78.9% |
| Oct | Submit by end of May | 86.4% |
| Nov | Submit by end of Jun | 95.5% |
| Dec | Submit by end of Jul | 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 Glamorgan. 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 (50 days). Slowest: Heritage / LB (146 days).
| Application type | Decisions | Approval rate | Avg days | Range | |
|---|---|---|---|---|---|
| Full / Major | 175 | 90.9% | 101 d (14 wk) | 35–343 d | ✕ clear |
| Tree Works / TPO | 42 | 95.2% | 61 d (9 wk) | 9–357 d | Filter ▸ |
| Discharge Conditions | 33 | 100% | 80 d (11 wk) | 3–259 d | Filter ▸ |
| Amendment / NMA | 33 | 93.9% | 50 d (7 wk) | 7–192 d | Filter ▸ |
| Advertisement | 11 | 81.8% | 125 d (18 wk) | 47–260 d | Filter ▸ |
| Heritage / LB | 8 | 87.5% | 146 d (21 wk) | 51–311 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 | 15 |
93.3%
|
90d (~13wk) | → April | 64–217d |
| February | 26 |
96.2%
|
97d (~14wk) | → May | 41–284d |
| March | 8 |
100%
|
92d (~13wk) | → June | 35–149d |
| April | 19 |
78.9%
|
127d (~18wk) | → August | 67–254d |
| May | 22 |
86.4%
|
88d (~13wk) | → August | 50–227d |
| June | 22 |
95.5%
|
70d (~10wk) | → August | 35–182d |
| July | 9 |
100%
|
101d (~14wk) | → October | 50–151d |
| August | 5 |
100%
|
114d (~16wk) | → December | 89–130d |
| September | 15 |
93.3%
|
128d (~18wk) | → January | 63–343d |
| October | 18 |
83.3%
|
64d (~9wk) | → December | 49–165d |
| November | 9 |
77.8%
|
171d (~24wk) | → May | 125–250d |
| December | 7 |
100%
|
154d (~22wk) | → May | 105–247d |
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 | 45 | 82.2% | 128 |
| Tuesday | 42 | 92.9% | 103 |
| Wednesday | 32 | 96.9% | 120 |
| Thursday | 33 | 93.9% | 100 |
| Friday | 31 | 90.3% | 141 |
📊 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.