Housing Stability Score
56
/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
Jackson Springs profile describes structural housing sustainability conditions for local residents using standardized national methodology.
Housing Stability Score
56
/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
Improving
Trend direction compares this snapshot with the prior published score; movement within three points is treated as stable.
Media Summary
Jackson Springs, NC currently has a 56 / 100 Housing Stability Score with a improving trend signal. The score is a structural housing sustainability measure, not a forecast of future prices.
Citation Language
Jackson Springs, NC has a 56/100 Housing Stability Score (moderate), 56/100 national percentile, and +8 point change versus the prior published snapshot.
Housing Stability Score
56
Moderate relative housing sustainability score on a 0-100 scale.
National Rank
#13,800 of 30,973
Same-state rank: #203 of 772. Higher scores indicate stronger relative stability.
Score Movement
+8
Point change versus the prior published score snapshot.
Leading Signal
Affordability Stability
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 improved by 8 points versus the prior published snapshot, enough to mark the trend as improving.
Component Driver
Affordability stability is the strongest component at 82 / 100, so it contributes the most support to the current housing stability score.
Component Driver
Supply pressure is the main constraint at 3 / 100, so users should read that component as the clearest pressure point in this location.
Score Driver
This score uses 7 observed local inputs and 4 inherited county inputs out of 14 model inputs; 3 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: 82 / 100
State: 94 / 100 percentile (very strong relative stability)
National: 82 / 100 percentile (very strong relative stability)
Market Volatility
Measures housing price consistency and resistance to boom-and-bust cycles that can destabilize long-term resident outcomes.
Component Score: 62 / 100
State: 59 / 100 percentile (mid-range relative stability)
National: 62 / 100 percentile (above-average relative stability)
Supply Pressure
Tracks whether housing availability keeps pace with demand through inventory, construction pace, and local supply balance conditions.
Component Score: 3 / 100
State: 2 / 100 percentile (low relative stability)
National: 3 / 100 percentile (low relative stability)
Ownership Sustainability
Assesses long-term ownership viability through expense escalation, tax burden pressure, insurance overlap, and distress indicators.
Component Score: 75 / 100
State: 82 / 100 percentile (very strong relative stability)
National: 75 / 100 percentile (above-average relative stability)
State Comparison
State benchmark: 74 / 100 percentile (higher is more stable), placing this location above most comparable places in this state.
National Comparison
National benchmark: 56 / 100 percentile (higher is more stable), placing this location near the middle of 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
7
Inherited Inputs
4
Imputed Inputs
3
Coverage Share
78.6%
Total model inputs this run: 14