Step 3 · attractions

Wuxi, place by place

What we record for this city — dated, checkable

80opportunity score (0-100)
#18of 391 recorded city units
754recorded population (10k)
4.80GDP growth % y/y

The eight dimensions behind the score

Economic scale74
Growth potential56
Economy per person79
Industry diversity83
Distinctive resources60
Culture & tourism60
Policy support0
Food appeal69

Industries recorded: 电子、制造、石化、生物医药、无锡特色产业

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

Tags: 资源型

25 attractions from our own Wuxi 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.

Wuxi districts & the 25 attractions Tap a dot to jump to that place in the list below.
锡山区 惠山区 滨湖区 梁溪区 新吴区 江阴市 宜兴市 惠山古镇景区运河汇三国城无锡博物院无锡融创乐园蠡园蠡湖大桥公园贡湖湾湿地公园金匮公园长广溪湿地公园三国水浒景区中央电视总台无锡影视基地周新里尚贤河湿地(尚贤道)巡塘古镇无锡国家数字电影产业园无锡融创文旅城无锡融创海世界(融创茂店)蠡湖国家湿地公园金城湾公园太湖新城体育公园欢乐广场新泽广场新都文化广场Civil Square / 市民广场
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 Wuxi — 美食

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

Cuisine system
苏菜
Food score
92/100
Food rows harvested
待补充
Supply chain
江苏农产品基地+地方特色食材供应链

Signature dishes 招牌菜

地方风味:盐水鸭、松鼠桂鱼、扬州炒饭、蟹黄汤包、无锡酱排骨、狮子头、苏州糖粥、镇江肴肉、高邮咸鸭蛋、常州麻糕

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

Opportunity analysis — 机会分析

Where 无锡 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.

45/100
资源型美食型
opportunity_score from central.city_opportunities (row 无锡). Re-derived from the eight dimensions below: 45 — matches.
Province / level
江苏 · 地级市
Population
726 万
GDP
¥2918 亿
GDP growth
+4.8% y/y
Location 区位
120.3,31.57
Industry 产业
电子、制造、石化、生物医药、无锡特色产业
Specialities 特产
阳澄湖大闸蟹、碧螺春、苏绣
Tourism 文旅
拙政园、中山陵、瘦西湖
Culture 文化
吴文化、金陵文化
Policy 政策
长三角一体化、制造强省

How the score is built 八个维度

DimensionScoreWeightContribution
Economy scale (GDP) 经济规模38.314%5.36
Growth potential 增长潜力5614%7.84
GDP per head 人均经济16.120%3.22
Industry diversity 产业多样性83.310%8.33
Signature resources 特色资源6010%6
Culture & tourism assets 文旅资源6010%6
Policy support 政策优势010%0
Food appeal 美食吸引7912%9.48
Weighted raw score46.232

score = clamp(10 + (raw - 30.0) / (72.0 - 30.0) * 90, 10, 100)
raw 46.232 → 45/100

Raw score_details as stored in the database row
{"经济规模": 38.3, "增长潜力": 56.0, "人均经济": 16.1, "产业多样性": 83.3, "特色资源": 60.0, "文旅资源": 60.0, "政策优势": 0.0, "美食吸引": 79.0}

引擎复算 42 分 vs 表内 45 分 — engine re-run scores this row 42 today (drifted dimensions: 美食吸引). The stored row is the published scoring; the drift is shown rather than hidden.

数据状态:已评分 · 来源:central.city_opportunities

Where this comes from. The 25 rows are the attraction entries kept from our own wuxi.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 Wuxi district boundaries we publish as wuxi_dist.json.

About the English names. The dataset carries an English name for 1 of the 25 rows. The remaining 24 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 Wuxi.

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

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Where to go next

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