Overall Sustainability Score
57
Elevated
Scale: 0 = highest pressure, 100 = lowest pressure
County • TX
Donley County
This page summarizes financial pressure dynamics for Donley County. 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
Increasing
National Percentile
70th
Mid-Range
Higher percentile is better (less pressure than peers)
Local Narrative
What Is Driving Pressure In Donley County
Donley County currently has a sustainability score of 57 (Elevated) with a increasing trend direction. National percentile is 70th (mid-range).
Top current component pressures are Essential Inflation Pressure (59, increasing) and Income Offset (57, decreasing).
Compared with Texas, Donley County is 21.5 points higher on sustainability (lower overall pressure).
Pressure Components
Component Breakdown
Higher component score = higher pressure
INSURANCE_PRESSURE
Insurance Pressure
Pressure Score: 11 • Trend: Stable
Low Pressure
Owner-cost burden proxy is 11.9% of income with -1.7% year-over-year movement.
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TAX_PRESSURE
Tax Pressure
Pressure Score: 48 • Trend: Increasing
Elevated
Median real estate taxes are $1,117 with 9.6% year-over-year movement.
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UTILITY_PRESSURE
Utility Pressure
Pressure Score: 51 • Trend: Increasing
Elevated
Median gross rent proxy is $780 with 13.7% year-over-year movement.
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ESSENTIAL_INFLATION_PRESSURE
Essential Inflation Pressure
Pressure Score: 59 • Trend: Increasing
Elevated
Essential burden proxy (gross rent to income) is 15.9% with 9.6% year-over-year movement.
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INCOME_OFFSET
Income Offset
Pressure Score: 57 • Trend: Decreasing
Elevated
Median household income is $58,750 with 3.7% year-over-year growth.
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Research Path
Continue From Donley County
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.