Module profile
Energy score
70/100
Clean-energy readiness, grid resilience, and solar or efficiency opportunity signals.
Energy
Mexico City has solid grid reliability with growing renewable capacity at the national level and active work on building efficiency. Energy in Mexico City scores 70/100, placing it in the solid group of the indexed set.
Module profile
70/100
Clean-energy readiness, grid resilience, and solar or efficiency opportunity signals.
70/100
Solid baseline with active transition direction.
Buildings and renewables
Building efficiency and renewable build-out are the main levers.
Water and heat
Water scarcity and rising heat shape adaptation work.
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 | 70/100 | National renewable capacity is growing. |
| Primary transition lever | Buildings and renewables | Distributed solar potential is high. |
| Climate stressor | Water and heat | Water-management programs are central. |
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 |
|---|---|---|
| Mexico City (this page) | 70/100 | Mexico City has solid grid reliability with growing renewable capacity at the national level and active work on building efficiency. |
| Veracruz | 76/100 | Veracruz's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Mazatlán | 76/100 | Mazatlán's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Puerto Vallarta | 76/100 | Puerto Vallarta's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Valladolid | 76/100 | Valladolid's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| León de Los Aldama | 75/100 | León de Los Aldama's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Culiacán | 75/100 | Culiacán's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Torreón | 75/100 | Torreón's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Tuxtla Gutiérrez | 75/100 | Tuxtla Gutiérrez's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| La Paz | 75/100 | La Paz's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Manzanillo | 75/100 | Manzanillo's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| San Cristóbal de Las Casas | 75/100 | San Cristóbal de Las Casas's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Córdoba | 75/100 | Córdoba's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Fresnillo | 75/100 | Fresnillo's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Chilpancingo de los Bravo | 74/100 | Chilpancingo de los Bravo's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Reynosa | 74/100 | Reynosa's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Tonalá | 74/100 | Tonalá's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Heroica Nogales | 74/100 | Heroica Nogales's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Piedras Negras | 74/100 | Piedras Negras's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Gómez Palacio | 74/100 | Gómez Palacio's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Mexicali | 73/100 | Mexicali's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| San Luis Potosí | 73/100 | San Luis Potosí's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Heroica Matamoros | 73/100 | Heroica Matamoros's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Zamora de Hidalgo | 73/100 | Zamora de Hidalgo's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Cuauhtémoc | 73/100 | Cuauhtémoc's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Guadalajara | 72/100 | Guadalajara's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Tijuana | 72/100 | Tijuana's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Saltillo | 72/100 | Saltillo's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Toluca de Lerdo | 72/100 | Toluca de Lerdo's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| San Francisco de Campeche | 72/100 | San Francisco de Campeche's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
| Zacatecas | 72/100 | Zacatecas's energy-readiness profile is a directional indicator that combines national policy framing with city-level adaptation context. |
Energy readiness scoring weighs grid reliability, transition strategy, and adaptation. Mexico City's transition reflects both city and federal direction. Across the indexed cities the energy average is 71/100, so Mexico City is close to the median for this dimension. Data year 2025; last updated 2026-05-16. Drawn from 3 institutional references.
Read this module with the main open the mexico city 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 Mexico City 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.