Step 3 · attractions

Miaoli, place by place

What we record for this city — dated, checkable

10opportunity score (0-100)
#379of 391 recorded city units
53recorded population (10k)
NULLGDP growth % y/y

The eight dimensions behind the score

Economic scale0
Growth potential0
Economy per person0
Industry diversity0
Distinctive resources0
Culture & tourism0
Policy support0
Food appeal0

Industries recorded: NULL

From $9One-city report · or the full 391-city dataset from $29See the datasets →

Tags: 均衡型

25 attractions from our own Miaoli dataset, each with its Chinese name and an English name. Every row below is a candidate for a Chinese lesson; none of them has one yet.

Miaoli districts & the 25 attractions Tap a dot to jump to that place in the list below.
苗栗县 白沙屯拱天宫台湾水牛城山边妈祖宫苗栗玉清宫三义木雕博物馆台盐通霄观光园区(台盐通霄精盐厂)苗栗火车头园区竹南运动公园九华山大兴善寺(铜锣)仙山协灵宫(九天玄女庙)南庄老街桂花巷叶府后龙好望角风景区明德水库竹南后厝龙凤宫(天上圣母)仙山灵洞宫苗栗稻荷神社遗址(好汉坡)南山行通霄神社佛顶山朝圣寺台湾桑耶寺苗栗陶瓷博物馆善安人文竹南狮山亲子公园杜泰山
District boundary Attraction (one per place) Dots overlap in the centre — that is where most of them are.
What is on this page. 景点 attraction rows: 25 (数据薄 · 待补充 — fewer than 50 rows) · 美食 food rows: 0 (数据薄 · 待补充) · 机会分析 opportunity: scored

Where to eat in Miaoli — 美食

The dish side of 苗栗县: what the city is known for and the food score that feeds the opportunity model.

Cuisine system
待补充
Food score
待补充
Food rows harvested
待补充
Supply chain
待补充

招牌菜 待补充 — no dish list in the scored row for this city.

美食点位 待补充 — no food rows harvested for this city yet.

Opportunity analysis — 机会分析

Where 苗栗县 stands: how many people, what it makes, what it is known for, how it is governed and how well it feeds people — and the composite opportunity score our engine derives from those eight dimensions.

待补充/100
opportunity_score from central.city_opportunities (row 苗栗县). Re-derived from the eight dimensions below: 10 — DOES NOT MATCH.
Province / level
台湾 · 县
Population
53 万
GDP
待补充
GDP growth
待补充
Location 区位
120.83499,24.53579
Industry 产业
待补充
Specialities 特产
待补充
Tourism 文旅
待补充
Culture 文化
待补充
Policy 政策
待补充

How the score is built 八个维度

DimensionScoreWeightContribution
Economy scale (GDP) 经济规模014%0
Growth potential 增长潜力014%0
GDP per head 人均经济020%0
Industry diversity 产业多样性010%0
Signature resources 特色资源010%0
Culture & tourism assets 文旅资源010%0
Policy support 政策优势010%0
Food appeal 美食吸引012%0
Weighted raw score0

score = clamp(10 + (raw - 30.0) / (72.0 - 30.0) * 90, 10, 100)
raw 0 → 待补充/100

Raw score_details as stored in the database row
{"经济规模": 0.0, "增长潜力": 0.0, "人均经济": 0.0, "产业多样性": 0.0, "特色资源": 0.0, "文旅资源": 0.0, "政策优势": 0.0, "美食吸引": 0.0}

引擎复算 10 分 vs 表内 待补充 分 — engine re-run scores this row 10 today (drifted dimensions: -). The stored row is the published scoring; the drift is shown rather than hidden.

数据状态:缺数据 · 来源:central.city_opportunities

Where this comes from. The 25 rows are the attraction entries kept from our own miaoli.json place dataset (25 records harvested from the city POI source, 0 dropped as not matching the city, 25 kept). Addresses, coordinates and the district name come from that file; the district was resolved by testing each coordinate against the Miaoli district boundaries we publish as miaoli_dist.json.

About the English names. The dataset carries an English name for 0 of the 25 rows. The remaining 25 rows have no settled English name at all, so the English line is left empty rather than filled with an invented translation.

Lessons. A row says lesson in progress when we have not written the Chinese lesson for it yet. That is a status, not a link.

Data & methods

Source. Compiled by InfoGap from its own place database. This page lists 25 places in Miaoli.

What this data is. Each record is one place and carries these fields: Chinese name, English name, district, category, address, latitude, longitude, record index.

Last updated: 2026-09-24

Source: InfoGap · License: CC BY 4.0 (attribution required, link back to this page). Data hub: our data hub · registry.json

More cities in 台湾

台北10新北10桃园10台中10台南10高雄10基隆10新竹10

Highest scoring cities

北京100深圳93阿拉尔90可克达拉88上海87南京87

Where to go next

Datasets & pricesfrom $29China map386 citiesDemand board570 industriesAlgorithms19 methodsWhat we publishevery fieldHow to check usaudit a number