Overall Sustainability Score
27
High Pressure
Scale: 0 = highest pressure, 100 = lowest pressure
City • TX
La Paloma-Lost Creek
This page summarizes financial pressure dynamics for La Paloma-Lost Creek. 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
3rd
Weak
Higher percentile is better (less pressure than peers)
Local Narrative
What Is Driving Pressure In La Paloma-Lost Creek
La Paloma-Lost Creek currently has a sustainability score of 27 (High Pressure) with a increasing trend direction. National percentile is 3rd (weak).
Top current component pressures are Essential Inflation Pressure (87, increasing) and Insurance Pressure (79, stable).
Compared with Nueces County, La Paloma-Lost Creek is 2.2 points higher on sustainability (lower overall pressure).
Pressure Components
Component Breakdown
Higher component score = higher pressure
INSURANCE_PRESSURE
Insurance Pressure
Pressure Score: 79 • Trend: Stable
High Pressure
Owner-cost burden proxy is 18.1% of income with 1.7% year-over-year movement.
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TAX_PRESSURE
Tax Pressure
Pressure Score: 61 • Trend: Stable
High Pressure
Median real estate taxes are $3,330 with 1.9% year-over-year movement.
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UTILITY_PRESSURE
Utility Pressure
Pressure Score: 73 • Trend: Increasing
High Pressure
Median gross rent proxy is $1,283 with 4.8% year-over-year movement.
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ESSENTIAL_INFLATION_PRESSURE
Essential Inflation Pressure
Pressure Score: 87 • Trend: Increasing
High Pressure
Essential burden proxy (gross rent to income) is 23.0% with 3.4% year-over-year movement.
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INCOME_OFFSET
Income Offset
Pressure Score: 64 • Trend: Stable
High Pressure
Median household income is $66,897 with 1.3% year-over-year growth.
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Research Path
Continue From La Paloma-Lost Creek
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.