Overall Sustainability Score
57
Elevated
Scale: 0 = highest pressure, 100 = lowest pressure
City • TX
Fort Clark Springs
This page summarizes financial pressure dynamics for Fort Clark Springs. Cost pressure is modeled as burden plus change minus offsets, then decomposed into standardized pressure components.
Sustainability Score
Latest Snapshot
2024-12-31
Scale direction: Sustainability Score 0 = highest pressure, 100 = lowest pressure. Pressure Score 0 = low pressure, 100 = high pressure.
Trend
Decreasing
National Percentile
67th
Mid-Range
Higher percentile is better (less pressure than peers)
Local Narrative
What Is Driving Pressure In Fort Clark Springs
Fort Clark Springs currently has a sustainability score of 57 (Elevated) with a decreasing trend direction. National percentile is 67th (mid-range).
Top current component pressures are Essential Inflation Pressure (91, increasing) and Utility Pressure (82, increasing).
Compared with Kinney County, Fort Clark Springs is 3.2 points higher on sustainability (lower overall pressure).
Pressure Components
Component Breakdown
Higher component score = higher pressure
INSURANCE_PRESSURE
Insurance Pressure
Pressure Score: 4 • Trend: Decreasing
Low Pressure
Owner-cost burden proxy is 12.8% of income with -5.9% year-over-year movement.
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TAX_PRESSURE
Tax Pressure
Pressure Score: 15 • Trend: Decreasing
Low Pressure
Median real estate taxes are $1,158 with -6.9% year-over-year movement.
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UTILITY_PRESSURE
Utility Pressure
Pressure Score: 82 • Trend: Increasing
High Pressure
Median gross rent proxy is $1,272 with 65.0% year-over-year movement.
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ESSENTIAL_INFLATION_PRESSURE
Essential Inflation Pressure
Pressure Score: 91 • Trend: Increasing
High Pressure
Essential burden proxy (gross rent to income) is 21.8% with 56.4% year-over-year movement.
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INCOME_OFFSET
Income Offset
Pressure Score: 36 • Trend: Decreasing
Moderate
Median household income is $70,000 with 5.5% year-over-year growth.
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Research Path
Continue From Fort Clark Springs
Use this location profile as the anchor page, then compare component pages and related geographies before finalizing interpretation. Validate assumptions with methodology and source documentation.