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Evaluating Cost of Living by Metro Area
When Covid hit and overnight people transitioned to work from home, many urbanites made the decision to relocate - at least temporarily - to a place where they could have a "better" quality of life, including a bigger house, a yard for their kids, better proximity to...
Are Your Bridges Safe?
Congress is on the verge of passing a massive infrastructure bill to address America’s crumbling infrastructure. Focused on transportation, utilities, and cleaning up pollution, about $110 billion may be allocated to rebuilding an estimated 20,000 miles of the...
Inflation, the Working Poor, and Rural Communities
As concerns about inflation increase, America's working poor are finding it harder and harder to meet their everyday needs... On August 11, the Bureau of Labor Statistics (BLS) announced that the Consumer Price Index – a measure of prices for various consumer goods...
How Do You Measure Diversity?
Measuring diversity and increasing equity and inclusion has taken center stage for communities and companies, alike. But are we actually measuring diversity correctly? And what is the new Diversity Index developed by the Census? Here's what you need to know... On...
Future-Proofing
Climate Alpha’s AI-driven service leverages comprehensive data streams and proprietary machine learning algorithms to produce robust forecasts for real estate assets under diverse scenarios. Climate Alpha supports clients in steering investments into future-proofed assets. The Resilience Index™ also helps communities assess and understand their risk, vulnerability, and readiness against disruptions and serves as a roadmap to inform adaptation policies ranging from infrastructure remediation to population resettlement. For more information about the full suite of available dashboards and custom solutions, please contact us.
Sources & Methods
Climate Alpha has amassed an extensive data lake of more than 100 time-series variables covering socio-economic, demographic, fiscal, climate, and other indicators. Datasets have been collected from both public and private sources and cover all asset classes of real estate, including residential, commercial, industrial, and agricultural. Through extensive data engineering, these indicators have been trained on machine learning models that allow for scenario-based forecasting of the “climate price” of various climate scenarios on asset values.