Overall Sustainability Score
47
High Pressure
Scale: 0 = highest pressure, 100 = lowest pressure
County • SC
Darlington County
This page summarizes financial pressure dynamics for Darlington 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
42nd
Weak
Higher percentile is better (less pressure than peers)
Local Narrative
What Is Driving Pressure In Darlington County
Darlington County currently has a sustainability score of 47 (High Pressure) with a increasing trend direction. National percentile is 42nd (weak).
Top current component pressures are Income Offset (77, stable) and Essential Inflation Pressure (72, stable).
Compared with South Carolina, Darlington County is 6.4 points lower on sustainability (higher overall pressure).
Pressure Components
Component Breakdown
Higher component score = higher pressure
INSURANCE_PRESSURE
Insurance Pressure
Pressure Score: 38 • Trend: Stable
Moderate
Owner-cost burden proxy is 13.8% of income with 2.2% year-over-year movement.
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TAX_PRESSURE
Tax Pressure
Pressure Score: 33 • Trend: Increasing
Moderate
Median real estate taxes are $652 with 7.9% year-over-year movement.
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UTILITY_PRESSURE
Utility Pressure
Pressure Score: 50 • Trend: Stable
Elevated
Median gross rent proxy is $896 with 2.3% year-over-year movement.
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ESSENTIAL_INFLATION_PRESSURE
Essential Inflation Pressure
Pressure Score: 72 • Trend: Stable
High Pressure
Essential burden proxy (gross rent to income) is 22.1% with -0.2% year-over-year movement.
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INCOME_OFFSET
Income Offset
Pressure Score: 77 • Trend: Stable
High Pressure
Median household income is $48,581 with 2.5% year-over-year growth.
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Research Path
Continue From Darlington 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.