Baisha Township road accident hotspots and casualties
From 2024/01 to 2026/08, Baisha Township recorded 117 casualty road accidents, 3 deaths and 173 injured, which is 4.1% of Penghu County.
Baisha Township recorded only 117 accidents across these 32 months (records in 30 of them). The counts and casualty figures are actual records and can be quoted directly. The percentages, hourly distribution and rankings derived from them swing wildly at this sample size — one more or one fewer accident changes the result — so they should not be used to rank this area against others.
Baisha Township averaged 3.7 accidents a month over this period. Within a day the peak hour is 10, at 12.0% of the total; the night hours from 22:00 to 05:00 account for 4.3%; weekends account for 29.1%.
Motorcycles account for 45.9% of parties involved. There were 3 deaths in this period. With numbers that small it is not meaningful to convert to a death rate and compare with other areas — a single accident moves it by several times.
Roads appearing most often in Baisha Township
Counted by road names appearing in the accident address. Where the address is written as a junction (“A Rd / B Rd”), both roads are counted once.
| Road | Accidents | |
|---|---|---|
| County Highway 203 | 18 | |
| Xian203xiandao Rd. | 3 | |
| 0gongchichubeicexiang Rd. | 3 | |
| 0gongchichunanxiang Rd. | 2 | |
| 0gongchichudongxiang Rd. | 2 | |
| 0gongchichuxixiang Rd. | 2 | |
| 55gonglichucha Rd. | 2 | |
| 1haodaocha Rd. | 2 | |
| Peng10haodaocha Rd. | 1 | |
| Chikanmatoucha Rd. | 1 |
Long roads and busy roads naturally rank high. This is where accidents happened, not danger per kilometre. Road names are automatic romanisation, not official signage.
When accidents happen
| Hour | Accidents | Share | |
|---|---|---|---|
| 00:00–01:00 | 1 | 0.9% | |
| 01:00–02:00 | 0 | 0.0% | |
| 02:00–03:00 | 0 | 0.0% | |
| 03:00–04:00 | 2 | 1.7% | |
| 04:00–05:00 | 0 | 0.0% | |
| 05:00–06:00 | 0 | 0.0% | |
| 06:00–07:00 | 4 | 3.4% | |
| 07:00–08:00 | 10 | 8.5% | |
| 08:00–09:00 | 7 | 6.0% | |
| 09:00–10:00 | 6 | 5.1% | |
| 10:00–11:00 | 14 | 12.0% | |
| 11:00–12:00 | 5 | 4.3% | |
| 12:00–13:00 | 12 | 10.3% | |
| 13:00–14:00 | 4 | 3.4% | |
| 14:00–15:00 | 7 | 6.0% | |
| 15:00–16:00 | 11 | 9.4% | |
| 16:00–17:00 | 10 | 8.5% | |
| 17:00–18:00 | 11 | 9.4% | |
| 18:00–19:00 | 3 | 2.6% | |
| 19:00–20:00 | 5 | 4.3% | |
| 20:00–21:00 | 2 | 1.7% | |
| 21:00–22:00 | 1 | 0.9% | |
| 22:00–23:00 | 1 | 0.9% | |
| 23:00–00:00 | 1 | 0.9% |
By day of week
| Day | Accidents | Share | |
|---|---|---|---|
| Mon | 11 | 9.4% | |
| Tue | 13 | 11.1% | |
| Wed | 12 | 10.3% | |
| Thu | 20 | 17.1% | |
| Fri | 27 | 23.1% | |
| Sat | 14 | 12.0% | |
| Sun | 20 | 17.1% |
Primary causes
| Primary cause | Count | Share | |
|---|---|---|---|
| Distracted driving: inattention or anxiety | 38 | 32.5% | |
| Drink driving | 9 | 7.7% | |
| Following too closely | 8 | 6.8% | |
| Pulling away without checking | 6 | 5.1% | |
| Unsignalised junction: minor road failed to yield to major road | 5 | 4.3% | |
| Wheel came off or tyre blowout | 4 | 3.4% |
This is the attending officer's assessment, not a court finding.
Collision type
| Type | Count | Share | |
|---|---|---|---|
| Ran off road | 19 | 16.2% | |
| Overturn / fall on road | 18 | 15.4% | |
| Side impact | 14 | 12.0% | |
| Intersection crossing collision | 12 | 10.3% | |
| Other | 12 | 10.3% | |
| Rear-end | 11 | 9.4% |
Type is the collision pattern recorded by police; "Other" is how the source data classifies it and cannot be split further.
Lighting and weather
| Condition | Count | Share | |
|---|---|---|---|
| Daytime / lights off | 88 | 75.2% | |
| Night, lit | 16 | 13.7% | |
| Night, unlit | 13 | 11.1% | |
| Clear | 101 | 86.3% | |
| Cloudy | 8 | 6.8% | |
| Rain | 7 | 6.0% | |
| Other | 1 | 0.9% |
"Daytime / lights off" is the source category "lighting present but off or faulty", which in practice is mostly daytime.
Party types
| Party type | Parties | Share | |
|---|---|---|---|
| Motorcycle | 113 | 45.9% | |
| Pedestrian | 69 | 28.0% | |
| Car (incl. passenger/goods) | 55 | 22.4% | |
| Light truck | 6 | 2.4% | |
| Bicycle / slow vehicle | 2 | 0.8% | |
| Bus | 1 | 0.4% |
By month
| Month | Accidents | |
|---|---|---|
| 2025/06 | 3 | |
| 2025/07 | 9 | |
| 2025/08 | 8 | |
| 2025/09 | 3 | |
| 2025/10 | 5 | |
| 2025/11 | 1 | |
| 2025/12 | 3 | |
| 2026/01 | 1 | |
| 2026/02 | 1 | |
| 2026/03 | 4 | |
| 2026/04 | 4 | |
| 2026/05 | 10 | |
| 2026/06 | 5 | |
| 2026/07 (partial) | 12 |
Months with no recorded accidents are not listed.
The National Police Agency refreshes its rolling data on the 1st and 15th of each month, so the last month is still being filled in and will always read low. Do not compare it with earlier months.
See Baisha Township on the map
The map lets you drag the time range, show fatal accidents only, and filter by vehicle type. Zoom in and you can see individual stretches of road.
Open the accident heatmap for Baisha Township
Flood potential in Baisha Township — the same township in the flood potential tool: simulated flooded area under ten rainfall scenarios.
How to read these numbers
More accidents does not mean more dangerous. Places with more traffic, longer roads and denser population naturally record more. This data has no traffic volume to divide by, so a rate per ten thousand vehicle passes cannot be computed; it can only tell you where accidents actually happened.
The road ranking counts road names appearing in the address. In Taiwan 26% of accident addresses are written as a reference point along a road rather than an exact position, so this ranking is reliable at the level of a road but not at the level of a junction.
Only A1 and A2 accidents, which involve casualties, are included. Property-damage-only collisions are not, so the real number of collisions is higher.
Other districts in Penghu County
Magong City Huxi Township Xiyu Township Qimei Township Wang’an Township See all