Canopy Civic Atlas — Midwest Housing Intelligence

Where the data
reveals the gap.

Rigorous housing and community data intelligence for LIHTC developers, CDFIs, and civic planners who need to know where to invest and why.

I — The Landscape

The Midwest housing crisis, in numbers.

0
Midwest Renters
0
Severely Cost-Burdened
0
LIHTC Units Since 1987
0.75×
Wisconsin Need-Supply Gap Score

II — Our Work

Intelligence that drives decisions.

Canopy Civic Atlas delivers fixed-scope data analysis and market intelligence to organizations making real investment decisions in affordable housing and community development. We do not sell time. We deliver outcomes.

01

Market Intelligence Engagement

A custom data analysis and site or market report for LIHTC developers. Delivered in 1 week. $1,500–$4,000.

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02

Housing Market Scan

A focused affordability and pipeline scan for CDFIs evaluating new markets or portfolio geographies. $750–$1,500.

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Midwest housing communities aerial view

12 Midwestern states · 1,055 counties analyzed

III — Latest Research

Where Affordable Housing Is Failing the Midwest

A three-part analysis of LIHTC production gaps, post-pandemic displacement, and the housing need-supply crisis across 12 Midwestern states. 14 maps and charts. Fully sourced from HUD and Census Bureau data.

IV — About

Built by someone who has done the work.

Canopy Civic Atlas is led by Cruz Romero Morales — a bilingual practitioner with direct experience in LIHTC applications ($150M+), community data management, ArcGIS analysis, and federal grant management ($80M+). This is not a firm that reads about housing. It is a firm that has catalogued properties, written applications, and organized communities.

That combination — rigorous data and genuine mission — is what makes the intelligence here different.

Our Approach
$150M+
LIHTC Applications Assisted
3,500+
Properties Catalogued
500+
Buildings Analyzed
12
Midwest States Covered

V — Start Here

Ready to see what the data shows about your market?

Both engagements start with a brief conversation. Tell us your geography and your question. We will tell you what the data can answer.