Housing Stability Score
7
/100
Composite Score • Higher is stronger
Scores use a consistent four-component framework built from public, reproducible data sources.
Housing-first durability lens
U.S. Housing Stability Intelligence
City Profile
Kure Beach profile describes structural housing sustainability conditions for local residents using standardized national methodology.
Housing Stability Score
7
/100
Composite Score • Higher is stronger
Scores use a consistent four-component framework built from public, reproducible data sources.
Housing-first durability lens
Trend Direction
Stable
Trend direction compares this snapshot with the prior published score; movement within three points is treated as stable.
Media Summary
Kure Beach, NC currently has a 7 / 100 Housing Stability Score with a stable trend signal. The score is a structural housing sustainability measure, not a forecast of future prices.
Citation Language
Kure Beach, NC has a 7/100 Housing Stability Score (highly pressured), 7/100 national percentile, and +2 point change versus the prior published snapshot.
Housing Stability Score
7
Highly pressured relative housing sustainability score on a 0-100 scale.
National Rank
#29,239 of 30,973
Same-state rank: #747 of 772. Higher scores indicate stronger relative stability.
Score Movement
+2
Point change versus the prior published score snapshot.
Leading Signal
Ownership Sustainability
Highest component score in the four-part housing stability framework.
These drivers summarize the main score movement, strongest support, and clearest pressure point for this location.
Score Driver
The composite score moved 2 points versus the prior published snapshot, which is within the stable range for this methodology.
Component Driver
Ownership sustainability is the strongest component at 31 / 100, so it contributes the most support to the current housing stability score.
Component Driver
Market volatility is the main constraint at 8 / 100, so users should read that component as the clearest pressure point in this location.
Score Driver
This score uses 10 observed local inputs and 4 inherited county inputs out of 14 model inputs; 0 inputs are filled from comparable benchmarks when direct observations are unavailable.
Every location includes standardized component evaluation so cross-location comparison stays structurally consistent.
Affordability Stability
Evaluates whether housing costs align sustainably with local income over time using rent burden, price-to-income, and cost growth relative to wages.
Component Score: 16 / 100
State: 13 / 100 percentile (low relative stability)
National: 16 / 100 percentile (low relative stability)
Market Volatility
Measures housing price consistency and resistance to boom-and-bust cycles that can destabilize long-term resident outcomes.
Component Score: 8 / 100
State: 9 / 100 percentile (low relative stability)
National: 8 / 100 percentile (low relative stability)
Supply Pressure
Tracks whether housing availability keeps pace with demand through inventory, construction pace, and local supply balance conditions.
Component Score: 22 / 100
State: 20 / 100 percentile (below-average relative stability)
National: 22 / 100 percentile (below-average relative stability)
Ownership Sustainability
Assesses long-term ownership viability through expense escalation, tax burden pressure, insurance overlap, and distress indicators.
Component Score: 31 / 100
State: 42 / 100 percentile (mid-range relative stability)
National: 31 / 100 percentile (below-average relative stability)
State Comparison
State benchmark: 4 / 100 percentile (higher is more stable), placing this location below most comparable places in this state.
National Comparison
National benchmark: 7 / 100 percentile (higher is more stable), placing this location below most comparable places nationwide.
Scoring uses public, reproducible county-level datasets including ACS, BLS LAUS, FHFA HPI, and Census housing estimates, applied through the same framework across affordability stability, market volatility, supply pressure, and ownership sustainability.
Snapshot Date: 2024-12-30 • Data Update Status: Succeeded • 2026-05-08 21:30 UTC
City coverage combines local city observations with county-level inherited signals when direct city series are unavailable.
Observed Local
10
Inherited Inputs
4
Imputed Inputs
0
Coverage Share
100%
Total model inputs this run: 14