Module profile
Energy score
82/100
Clean-energy readiness, grid resilience, and solar or efficiency opportunity signals.
Energy
Shenzhen benefits from rapid EV adoption, active grid modernization, and proximity to renewable manufacturing. Energy in Shenzhen scores 82/100, placing it in the strong group of the indexed set.
Module profile
82/100
Clean-energy readiness, grid resilience, and solar or efficiency opportunity signals.
82/100
Strong directional transition score.
Advanced
Renewable build-out supports planning continuity.
Solar-led
Solar carries the local transition.
This HTML table mirrors the visible score cards so important comparison data is never trapped in a browser-only chart.
| Metric | Value | Context |
|---|---|---|
| Energy readiness | 82/100 | EV adoption and renewables are central levers. |
| Grid adaptation | Advanced | Manufacturing ecosystem is a strength. |
| Renewable opportunity | Solar-led | Resource mix shapes the local transition path. |
A crawlable comparison across a selection of same-country and top-scoring cities. The complete set is reachable via the rankings, the cities index, and each city profile.
| City | Score | Summary |
|---|---|---|
| Shenzhen (this page) | 82/100 | Shenzhen benefits from rapid EV adoption, active grid modernization, and proximity to renewable manufacturing. |
| Zhengzhou | 82/100 | Zhengzhou's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Hangzhou | 82/100 | Hangzhou's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Harbin | 82/100 | Harbin's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Ürümqi | 82/100 | Ürümqi's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Kunming | 82/100 | Kunming's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Fuzhou | 82/100 | Fuzhou's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Shaoxing | 82/100 | Shaoxing's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Shangqiu | 82/100 | Shangqiu's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Jiangmen | 82/100 | Jiangmen's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Zhaoqing | 82/100 | Zhaoqing's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Chongqing | 81/100 | Chongqing's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Lhasa | 81/100 | Lhasa's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Hefei | 81/100 | Hefei's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Shijiazhuang | 81/100 | Shijiazhuang's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Fuyang | 81/100 | Fuyang's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Wenzhou | 81/100 | Wenzhou's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Nanyang | 81/100 | Nanyang's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Liuzhou | 81/100 | Liuzhou's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Zhangzhou | 81/100 | Zhangzhou's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Anqing | 81/100 | Anqing's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Yueyang | 81/100 | Yueyang's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Lanzhou | 80/100 | Lanzhou's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Xiamen | 80/100 | Xiamen's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Zhangjiakou | 80/100 | Zhangjiakou's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Yan'an | 80/100 | Yan'an's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Datong | 80/100 | Datong's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Zhangye | 80/100 | Zhangye's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Hengyang | 80/100 | Hengyang's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Jingzhou | 80/100 | Jingzhou's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Tai'an | 80/100 | Tai'an's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
Energy scoring weighs resource context, infrastructure maturity, and adaptation capacity. Across the indexed cities the energy average is 71/100, so Shenzhen is 11 points above the median. Data year 2025; last updated 2026-05-16. Drawn from 3 institutional references.
Read this module with the main open the shenzhen city profile and the read the scoring methodology page so single-topic pages do not hide tradeoffs across dimensions.
Structured indicators on this page are directional and intended for orientation. Verified datasets are being integrated; official sources should be used for critical decisions.
3 institutional references inform this view, listed below with reliability notes. Structured indicators on this page are directional and intended for orientation; verified datasets are being integrated and official sources should be used for critical decisions.
Used as an energy-resource and weather-normalization reference.
Used to explain urban climate vulnerability and adaptation scoring logic.
Used to ground energy-readiness scoring in international transition guidance.
These links connect module pages back to city, ranking, and sibling topic paths with crawlable href values.
Return to the complete Shenzhen profile with all module scores and source context.
Affordability, essential costs, and day-to-day financial pressure for residents.
Health-oriented air-quality conditions with context from WHO, EEA, and EPA benchmarks.
Personal safety, institutional trust, and resilience signals informed by international safety and crime data.
Broadband and mobile connectivity quality, latency, and digital-readiness signals for residents and remote workers.
Climate exposure, hazard frequency, and adaptation context for floods, heat, storms, and wildfires.
A balanced ranking of cities across affordability, air quality, clean-energy readiness, and resilience.
Cities that combine strong services, mobility, safety, clean air, and resilience into a healthy day-to-day profile.