Step 3 · attractions

Fuzhou (Jiangxi), place by place

What we record for this city — dated, checkable

37opportunity score (0-100)
#320of 391 recorded city units
355recorded population (10k)
4.60GDP growth % y/y

The eight dimensions behind the score

Economic scale30
Growth potential52
Economy per person22
Industry diversity83
Distinctive resources60
Culture & tourism60
Policy support0
Food appeal53

Industries recorded: 制造、航空、医药、VR、抚州特色产业

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

Tags: 资源型

25 attractions from our own Fuzhou (Jiangxi) 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.

Fuzhou (Jiangxi) districts & the 25 attractions Tap a dot to jump to that place in the list below.
临川区 东乡区 南城县 黎川县 南丰县 崇仁县 乐安县 宜黄县 金溪县 资溪县 广昌县 文昌里历史文化街区三翁花园抚州名人雕塑园抚州市博物馆灵谷峰景区三江湿地公园乔治棕榈湾寻梦牡丹亭文昌里老街梦湖景区正觉古寺汝水森林公园汤显祖纪念馆王安石纪念馆仙盖山旅游景区凤岗河湿地公园拟岘台景区临川党建公园合家欢游乐园People's Park / 人民公园五皇殿体育休闲广场梦园抚河湿地公园Hebin Park / 河滨公园
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 Fuzhou (Jiangxi) — 美食

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

Cuisine system
赣菜
Food score
80/100
Food rows harvested
待补充
Supply chain
江西农产品基地+地方特色食材供应链

Signature dishes 招牌菜

地方风味:南昌拌粉、瓦罐汤、藜蒿炒腊肉、赣南脐橙、抚州南丰蜜橘、三杯鸡、井冈山烟笋、九江茶饼、景德镇碱水粑、婺源汽糕

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

Opportunity analysis — 机会分析

Where 抚州 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.

57/100
资源型
opportunity_score from central.city_opportunities (row 抚州). Re-derived from the eight dimensions below: 57 — matches.
Province / level
江西 · 地级市
Population
304 万
GDP
¥4314 亿
GDP growth
+4.6% y/y
Location 区位
116.36,27.98
Industry 产业
制造、航空、医药、VR、抚州特色产业
Specialities 特产
瓦罐汤、南丰蜜橘、景德镇陶瓷
Tourism 文旅
滕王阁、庐山、三清山
Culture 文化
红色文化、赣文化
Policy 政策
VR产业、中部崛起

How the score is built 八个维度

DimensionScoreWeightContribution
Economy scale (GDP) 经济规模46.714%6.54
Growth potential 增长潜力5214%7.28
GDP per head 人均经济56.820%11.36
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5312%6.36
Weighted raw score51.868

score = clamp(10 + (raw - 30.0) / (72.0 - 30.0) * 90, 10, 100)
raw 51.868 → 57/100

Raw score_details as stored in the database row
{"经济规模": 46.7, "增长潜力": 52.0, "人均经济": 56.8, "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": 53.0}

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 fuzhou-jiangxi.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 Fuzhou (Jiangxi) district boundaries we publish as fuzhou-jiangxi_dist.json.

About the English names. The dataset carries an English name for 2 of the 25 rows. The remaining 23 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 Fuzhou (Jiangxi).

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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九江58南昌50新余48鹰潭48宜春47吉安44上饶44赣州42

Highest scoring cities

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