Housing Needs Assessment · part 1 of 5
What housing exists
What housing is here, and what shape is it in? Built from cached public datasets (Census, DOLA, HUD) with live Census API fallbacks.
Screening tool only. Data snapshots are for early-stage community planning and site research using public Census, DOLA, and HUD datasets. They are not a certified housing needs study and do not substitute for a CHFA-required market analysis or formal due diligence.
How this jurisdiction compares to its county
A county average hides its own spread. These are the same measures computed the same way at both levels.
Select a geography above to load housing data
Executive Snapshot
Rental Affordability Gap by AMI Tier
—Renter households who need affordable rental units at each income band. Both card rows below count renter households (demand) — the first cumulative (≤ each AMI; includes everyone below), the second the non-overlapping cohort within each tier; neither row subtracts existing units. The separate Net of existing affordable supply box further down is the one that nets out rental units already priced affordable, to estimate how many still need to be built. Source: ACS B25118 renter-household income + B25063 gross rent against HUD 2025 income limits, with HUD CHAS as a county-level fallback. Owner households are excluded — the rental gap counts only households competing for rental units.
ACS 2020–2024 households under the unadjusted county 30% AMI cutoff; the CHAS tier table below uses HUD's size-adjusted limits and an older window, so its counts run lower. See methodology.
Renter households who need affordable rental units — cumulative (≤ this AMI; includes everyone below)
Households who need affordable rental units — within this tier (non-overlapping; 7 cells sum to ≤100%)
Need distribution across AMI bands — each band's share of the ≤100% total
Map
Boundary is fetched from Census TIGERweb and used as the base layer for additional overlays.
Local commitments & resources
Housing Authorities & Contacts
Colorado public housing authorities, CHFA partners, and local housing contacts for the selected geography.
LIHTC, QCT & DDA
HUD-designated overlays for the selected geography: LIHTC-funded affordable housing projects, Qualified Census Tracts (income/poverty threshold), and Difficult Development Areas (high-cost designation).
Recent failed LIHTC application attempts (last 5 years)
Source: data/policy/chfa-awards-historical.json (.notAwarded).
This array is a hand-curated qualitative sample, not a comprehensive LOI dataset —
absence here does not prove no sponsor applied. The authoritative per-round CHFA
LOI Reports (PDFs) carry every applicant + outcome but are not yet parsed into JSON.
Housing stock by structure type
Existing housing stock by structure type (ACS).
Home value distribution
Owner-occupied housing units by reported value bracket (Census ACS DP04). The median alone hides the underlying skew — this distribution shows whether the market is thin at lower price points or top-heavy with $1M+ inventory.
The headline median home value is Zillow ZHVI (current typical value, all homes); the distribution below is the ACS 2020–2024 owner-reported value — a different measure and vintage, so the bars center below the headline.
Pace & Scale of New Housing Permits (Past 5 Years)
How many new housing units has the county permitted each year? Compares the permitting pace against the housing-needs gap to surface whether the local pipeline is keeping up with demand. Sources: Census Building Permits Survey 2020-2024; DOLA SDO 2024 for unit-need denominator; Up For Growth 2024 housing underproduction methodology for context framing.
Age of Housing Stock
Year housing units were built — older stock may have deferred maintenance needs; newer stock reflects recent production capacity. Source: ACS DP04.
Bedroom Mix
Unit mix by bedroom count — key indicator of whether existing stock meets household composition needs. Source: ACS DP04.
Neighborhood & Architectural Context
Understanding the built environment helps a LIHTC project serve both residents and the surrounding community. Design that fits the neighborhood's character and history builds trust and reduces opposition. Scope note: the character / form / era profile below is computed at the county level — sub-county variation (e.g. downtown vs. unincorporated valley) is not reflected. Use it as a regional baseline, then refine for the specific site.
Select a county geography above to load neighborhood context.
Methodology & Data Sources
This section updates as you change geographies and as cached datasets become available. All sources link to the primary publisher.
Primary Data Sources
Data refreshes automatically via GitHub Actions. Full data sources inventory · Data freshness status