Step 3 · attractions

Shaoxing, place by place

What we record for this city — dated, checkable

72opportunity score (0-100)
#39of 391 recorded city units
544recorded population (10k)
4.70GDP growth % y/y

The eight dimensions behind the score

Economic scale58
Growth potential54
Economy per person54
Industry diversity83
Distinctive resources60
Culture & tourism60
Policy support27
Food appeal77

Industries recorded: 数字经济、电商、制造、金融、绍兴特色产业

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

Tags: 资源型 · 美食型

25 attractions from our own Shaoxing 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.

Shaoxing districts & the 25 attractions Tap a dot to jump to that place in the list below.
越城区 柯桥区 上虞区 新昌县 诸暨市 嵊州市 仓桥直街历史街区鲁迅故里奈尔宝·儿童乐园·亲子餐厅(绍兴国金大悦城店)徐渭艺术馆沈氏园迪荡湖公园镜湖国家城市湿地公园鲁迅故里-三味书屋鲁迅故里-鲁迅故居黄酒小镇中国黄酒博物馆书圣故里绍兴东湖风景区阳明故里鲁迅故里-百草园十里荷塘周恩来祖居绍兴镜湖梦幻水世界绍兴镜湖海洋世界蔡元培故居金德隆文化创意园镜湖直江滨河公园鲁迅故里-咸亨新天地绍兴·隐史桥周恩来纪念馆
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 Shaoxing — 美食

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

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

Signature dishes 招牌菜

地方风味:西湖醋鱼、东坡肉、嘉兴粽子、金华火腿、绍兴黄酒、龙井虾仁、宁波汤圆、温州鱼丸、绍兴臭豆腐、湖州千张包

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

Opportunity analysis — 机会分析

Where 绍兴 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.

64/100
资源型美食型
opportunity_score from central.city_opportunities (row 绍兴). Re-derived from the eight dimensions below: 64 — matches.
Province / level
浙江 · 地级市
Population
573 万
GDP
¥4784 亿
GDP growth
+4.7% y/y
Location 区位
120.58,30.0
Industry 产业
数字经济、电商、制造、金融、绍兴特色产业
Specialities 特产
龙井茶、黄酒、丝绸
Tourism 文旅
西湖、乌镇、普陀山
Culture 文化
越文化、商帮文化
Policy 政策
共同富裕示范区、数字之省

How the score is built 八个维度

DimensionScoreWeightContribution
Economy scale (GDP) 经济规模4914%6.86
Growth potential 增长潜力5414%7.56
GDP per head 人均经济33.420%6.68
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26.710%2.67
Food appeal 美食吸引9212%11.04
Weighted raw score55.14

score = clamp(10 + (raw - 30.0) / (72.0 - 30.0) * 90, 10, 100)
raw 55.14 → 64/100

Raw score_details as stored in the database row
{"经济规模": 49.0, "增长潜力": 54.0, "人均经济": 33.4, "产业多样性": 83.3, "特色资源": 60.0, "文旅资源": 60.0, "政策优势": 26.7, "美食吸引": 92.0}

引擎复算 60 分 vs 表内 64 分 — engine re-run scores this row 60 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 shaoxing.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 Shaoxing district boundaries we publish as shaoxing_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 Shaoxing.

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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Highest scoring cities

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Where to go next

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