Mexico City is experiencing significant land subsidence at a rate of approximately 9.5 inches per year, with some areas sinking as much as 0.78 inches monthly, according to measurements released by NASA this week. The metropolitan area, home to roughly 22 million people across 3,000 square miles, has descended more than 39 feet over the course of less than a century. The subsidence is occurring at what researchers describe as one of the fastest rates globally.
The sinking stems from extensive groundwater pumping and urban development that have dramatically depleted the aquifer beneath the city. Mexico City was built atop an ancient lake bed, and the contracting water supply has caused visible structural damage to numerous landmarks. The Metropolitan Cathedral, constructed beginning in 1573, now tilts noticeably to the side. The ongoing subsidence is also exacerbating a chronic water crisis affecting the region.
The damage extends throughout the city’s critical infrastructure, including the subway system, drainage networks, water supply systems, housing, and streets. Researchers studying the phenomenon have described it as a major problem requiring urgent attention. The subsidence data comes from measurements taken between October 2025 and January 2026 using NISAR, a satellite jointly operated by NASA and the Indian Space Research Organization that can track real-time changes on Earth’s surface.
For decades, government response to the subsidence issue remained limited, with efforts largely confined to stabilizing foundations beneath major monuments. However, recent intensification of the water crisis has prompted increased government funding for research addressing the problem. Scientists and officials plan to use satellite imagery and accompanying data from NISAR to develop strategies for long-term mitigation, with researchers emphasizing that comprehensive understanding of the subsidence mechanisms represents a critical first step.
Article Attribution | Read More at Article Source
Article summary produced by Claude AI