Overall Sustainability Score
48
High Pressure
Scale: 0 = highest pressure, 100 = lowest pressure
County • KS
Phillips County
This page summarizes financial pressure dynamics for Phillips 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
46th
Weak
Higher percentile is better (less pressure than peers)
Local Narrative
What Is Driving Pressure In Phillips County
Phillips County currently has a sustainability score of 48 (High Pressure) with a increasing trend direction. National percentile is 46th (weak).
Top current component pressures are Tax Pressure (64, increasing) and Income Offset (63, stable).
Compared with Kansas, Phillips County is 5.7 points lower on sustainability (higher overall pressure).
Pressure Components
Component Breakdown
Higher component score = higher pressure
INSURANCE_PRESSURE
Insurance Pressure
Pressure Score: 54 • Trend: Increasing
Elevated
Owner-cost burden proxy is 14.6% of income with 5.8% year-over-year movement.
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TAX_PRESSURE
Tax Pressure
Pressure Score: 64 • Trend: Increasing
High Pressure
Median real estate taxes are $1,738 with 8.2% year-over-year movement.
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UTILITY_PRESSURE
Utility Pressure
Pressure Score: 36 • Trend: Increasing
Moderate
Median gross rent proxy is $672 with 8.2% year-over-year movement.
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ESSENTIAL_INFLATION_PRESSURE
Essential Inflation Pressure
Pressure Score: 40 • Trend: Increasing
Moderate
Essential burden proxy (gross rent to income) is 13.0% with 6.7% year-over-year movement.
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INCOME_OFFSET
Income Offset
Pressure Score: 63 • Trend: Stable
High Pressure
Median household income is $62,123 with 1.5% year-over-year growth.
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Research Path
Continue From Phillips 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.