Module profile
Energy module indicator (modelled)
78/100
Clean-energy readiness, grid resilience, and solar or efficiency opportunity signals.
Energy in Shanghai78/100
Energy
Energy Readiness in Shanghai
GCI modelled/editorial indicators, not measured city statistics. Shanghai benefits from rapid national renewable build-out, leading EV adoption, and active building-efficiency work. Energy in Shanghai scores 78/100, placing it in the solid group of the indexed set.
- Last updated
- 2026-10-17
- Data year (model edition)
- 2025
- Module score
- 78/100
What these numbers represent
GCI scores and planning amounts are modelled or editorial indicators, not measured city statistics or official estimates. Country assumptions are not local observations. Institutional references explain context; they do not supply these scores.
Source-backed temperature context is available in the NASA POWER climate reference. It is gridded reanalysis, not a weather-station measurement, and does not validate GCI's other scores.
Content and provenance reviewed 2026-10-17; this is not a new observation date. For GCI models, data year means model edition, not a measurement period. Source-backed datasets state their own periods. Read the data categories and limitations.
Energy readiness
78/100
Strong baseline lifted by national renewable progress.
Primary transition lever
EVs and renewables
EV adoption and renewable build-out are the main levers.
Climate stressor
Heat and storms
Rising heat and tropical storms shape adaptation work.
Shanghai energy data table
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 | 78/100 | EV adoption is among the highest globally. |
| Primary transition lever | EVs and renewables | Charging infrastructure is broad. |
| Climate stressor | Heat and storms | Coastal-storm exposure is rising. |
Energy city comparison
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 | Modelled module score | Summary |
|---|---|---|
| Shanghai (this page) | 78/100 | Shanghai benefits from rapid national renewable build-out, leading EV adoption, and active building-efficiency work. |
| Shenzhen | 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. |
Interpretation
The energy module uses a legacy editorial seed indicator. Its score is not calculated from a retrieved local measurement series. Related institutional links explain context, not the numeric result. Across the indexed cities the energy average is 71/100, so Shanghai is 7 points above the median. These comparisons use GCI modelled/editorial scores, not official measurements. Content reviewed 2026-10-17; model edition 2025, not an observation year.
Read this module with the main open the shanghai 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.
Methodology references
These publications provide background context, not the underlying city values or an endorsement of GCI scores. 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.
- NASA: NASA POWER
Background reference only. Do not attribute the modelled city scores to this publisher.
- IPCC: AR6 WGII Chapter 6: Cities, settlements and key infrastructure
Background reference only. Do not attribute the modelled city scores to this publisher.
- International Energy Agency: Empowering Urban Energy Transitions
Background reference only. Do not attribute the modelled city scores to this publisher.
Continue exploring
These links connect module pages back to city, ranking, and sibling topic paths with crawlable href values.
Shanghai city profile
Return to the complete Shanghai profile with all module scores and source context.
Cost of Living in Shanghai
Affordability, essential costs, and day-to-day financial pressure for residents.
Air Quality in Shanghai
Health-oriented air-quality conditions with context from WHO, EEA, and EPA benchmarks.
Safety in Shanghai
Personal safety, institutional trust, and resilience signals informed by international safety and crime data.
Internet Speed in Shanghai
Broadband and mobile connectivity quality, latency, and digital-readiness signals for residents and remote workers.
Climate Risk in Shanghai
Climate exposure, hazard frequency, and adaptation context for floods, heat, storms, and wildfires.
Overall Intelligence
A balanced ranking of cities across affordability, air quality, clean-energy readiness, and resilience.
Quality of Life
Cities that combine strong services, mobility, safety, clean air, and resilience into a healthy day-to-day profile.