Overall Sustainability Score
34
High Pressure
Scale: 0 = highest pressure, 100 = lowest pressure
County • CA
Santa Clara County
This page summarizes financial pressure dynamics for Santa Clara 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
Decreasing
National Percentile
13th
Weak
Higher percentile is better (less pressure than peers)
Local Narrative
What Is Driving Pressure In Santa Clara County
Santa Clara County currently has a sustainability score of 34 (High Pressure) with a decreasing trend direction. National percentile is 13th (weak).
Top current component pressures are Insurance Pressure (81, stable) and Tax Pressure (79, stable).
Compared with California, Santa Clara County is 5.7 points higher on sustainability (lower overall pressure).
Pressure Components
Component Breakdown
Higher component score = higher pressure
INSURANCE_PRESSURE
Insurance Pressure
Pressure Score: 81 • Trend: Stable
High Pressure
Owner-cost burden proxy is 19.0% of income with 0.0% year-over-year movement.
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TAX_PRESSURE
Tax Pressure
Pressure Score: 79 • Trend: Stable
High Pressure
Median real estate taxes are $10,001 with 2.4% year-over-year movement.
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UTILITY_PRESSURE
Utility Pressure
Pressure Score: 78 • Trend: Stable
High Pressure
Median gross rent proxy is $2,857 with 1.5% year-over-year movement.
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ESSENTIAL_INFLATION_PRESSURE
Essential Inflation Pressure
Pressure Score: 65 • Trend: Stable
High Pressure
Essential burden proxy (gross rent to income) is 20.9% with -1.3% year-over-year movement.
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INCOME_OFFSET
Income Offset
Pressure Score: 19 • Trend: Stable
Low Pressure
Median household income is $164,281 with 2.9% year-over-year growth.
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Research Path
Continue From Santa Clara 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.