China 386-City Opportunity Landscape

What this is

The full dataset: 391 recorded Chinese city units scored 0-100 on eight weighted dimensions, ranked in one table.

Why it matters

Reading 391 city reports is not a plan. Sorting one table and shortlisting five is.

How to use it

Download the spreadsheet, sort by the dimension you care about, filter to your province, shortlist. The JSON carries the weights so you can reproduce a score.

What you get

CSV (391 rows x 19 cols) + JSON with weights and raw inputs + PDF summary. Instant download, yours to keep.

$70 one-offor $299/year with every revisionSee it →

Every Chinese city we score, on one model, in one table — so you can see where the opportunity actually sits, not where the attention is.

The numbers behind it

Value	What it counts	Source / definition
391	City units recorded	COUNT(*) on central.city_opportunities
34	Province-level divisions covered	COUNT(DISTINCT province) on the same table
358	City units with an industry profile and a score	rows whose industry list is non-empty
33	City units with no industry profile yet	391 minus 358
384 x 63	City x industry matrix	rows x columns of matrix_city_industry.csv
1,377	Filled city-by-industry cells	cells equal to 1 in that matrix
5.69%	Cell fill rate	1,377 filled / 24,192 possible cells
386	City datasets published at infogap.store/china/	directories carrying an index page, measured on disk
8	Dimensions in the opportunity model	keys present in central.city_opportunities.score_details

Top 10 in this edition

#	City	Province	Score	Direction
1	Beijing	Beijing	100	Policy-led; Culture & tourism-led; Food-led
2	Luzhou	Sichuan	100	Policy-led; High-growth; Resource-led
3	Zhumadian	Henan	100	Policy-led; High-growth; Resource-led
4	Zhoukou	Henan	100	Policy-led; High-growth; Resource-led
5	Jingmen	Hubei	100	High-growth; Resource-led; Food-led
6	Zhaoqing	Guangdong	100	High-growth; Resource-led; Food-led
7	Shantou	Guangdong	98	Resource-led; Food-led
8	Tongchuan	Shaanxi	98	High-growth; Resource-led; Food-led
9	Dazhou	Sichuan	98	Policy-led; Resource-led; Food-led
10	Shenzhen	Guangdong	97	Policy-led; High-growth; Food-led

The full ranking, the dimension scores and the industry list ship with the dataset.

What you get and what it costs

What people use it for

• Shortlisting a city to invest or open in. You have a sector and a budget, but 391 cities is too many to read about. Sort the table by the score, filter to your province, and you have five names to look at properly instead of 391.
• Checking a claim you were told. Somebody says a city is "booming". You can see its eight dimension scores, the industry profile and the direction label - and whether the numbers back it up.
• Putting together a client deliverable. If you write market reports, the ranking and the underlying figures are ready to chart. The weights ship with the file, so the method section writes itself.
• Comparing a small city against a mega-city on one scale. Tier-1 and tier-4 cities rarely get scored in the same table. Here they are.
• Feeding your own model. Plain CSV, one row per city, no proprietary format.

Who it is for: analysts, founders choosing a base, consultants, and anyone who has to answer "where in China?" with evidence rather than a hunch.

Buy with Creem · $70 · instant download

Subscribe · $299 / year

Payment is handled by our merchant of record, Creem (card and bank details never reach our servers). If checkout is unavailable for your country, or you would rather be invoiced, email 13269369831@163.com and we will send a payment link and your files.

Delivery

• Instant download of the PDF, the full CSV and the JSON appendix as soon as payment is confirmed.
• The source index is regenerated daily; this is a dated edition and buyers receive the next edition free.
• The free preview below is the same format as the paid file, cut to the top 40 rows.

Download the free preview (top 40 rows, CSV)

Licence

• Data:Licence: commercial use permitted - use it in your own analysis, products and decisions. You may not resell or redistribute the dataset itself as a dataset. Commercial redistribution or an API feed: contact us.
• Commercial use: not included; requires written permission.
• Provenance. Our indicators are computed by InfoGap; underlying geographic facts are drawn from publicly available sources.

What is inside the report

This is a dataset and an analytical report — it compares cities on fields we record and score. It is not investment advice and not a forecast.

1. What the report is, and what the 386 stands for
2. The numbers, each with the record it was counted from
3. How the eight-dimension score is built, and where it stops being useful
4. The top 25 cities in detail
5. How the scores are distributed across all 358 scored cities
6. The direction mix
7. The city × industry landscape
8. The provinces
9. The full ranking — all 391 recorded city units
10. Data appendix, licence, and how to cite it

PDF edition 2026-09-29, 12 pages. The paid CSV carries the same columns as the free preview plus the eight dimension scores and the direction label for every city.

Questions

{"@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{"@type": "Question", "name": "What exactly do I get?", "acceptedAnswer": {"@type": "Answer", "text": "A 12-page PDF report and the full underlying dataset as CSV plus JSON: all 391 recorded city units, 358 of them scored, with the eight dimension scores, the direction labels and the industry list behind each number."}}, {"@type": "Question", "name": "Where does the data come from?", "acceptedAnswer": {"@type": "Answer", "text": "Our indicators (opportunity scores, direction, 8-dimension breakdown) are computed by InfoGap. Underlying geographic facts are drawn from publicly available sources."}}, {"@type": "Question", "name": "How is this different from the free city index on this site?", "acceptedAnswer": {"@type": "Answer", "text": "The free index gives you the headline opportunity score. This product adds the eight dimension scores behind it, the direction labels, the ranked report, the province roll-up and the city-by-industry landscape reading."}}, {"@type": "Question", "name": "Can I use it commercially?", "acceptedAnswer": {"@type": "Answer", "text": "The edition is licensed for internal, non-commercial use with attribution. Commercial use, redistribution or resale needs a written licence from us."}}, {"@type": "Question", "name": "How is it delivered, and how often is it updated?", "acceptedAnswer": {"@type": "Answer", "text": "Instant download after checkout. The source index is regenerated daily; this is a dated edition, and buyers get the next edition of the same report at no extra cost."}}, {"@type": "Question", "name": "What should I not read into the score?", "acceptedAnswer": {"@type": "Answer", "text": "It compares cities on the fields we record. It is not a market size, not a forecast, and a city with no industry profile is unscored rather than empty."}}]}