Overall Sustainability Score
72
Manageable
Scale: 0 = highest pressure, 100 = lowest pressure
City • SD
Manderson-White Horse Creek
This page summarizes financial pressure dynamics for Manderson-White Horse 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
Decreasing
National Percentile
95th
Very Strong
Higher percentile is better (less pressure than peers)
Local Narrative
What Is Driving Pressure In Manderson-White Horse Creek
Manderson-White Horse Creek currently has a sustainability score of 72 (Manageable) with a decreasing trend direction. National percentile is 95th (very strong).
Top current component pressures are Income Offset (61, decreasing) and Insurance Pressure (33, increasing).
Compared with Oglala Lakota County, Manderson-White Horse Creek is 1.6 points higher on sustainability (lower overall pressure).
Pressure Components
Component Breakdown
Higher component score = higher pressure
INSURANCE_PRESSURE
Insurance Pressure
Pressure Score: 33 • Trend: Increasing
Moderate
Owner-cost burden proxy is 11.8% of income with 9.3% year-over-year movement.
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TAX_PRESSURE
Tax Pressure
Pressure Score: 5 • Trend: Stable
Low Pressure
Median real estate taxes are $199 with 0.0% year-over-year movement.
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UTILITY_PRESSURE
Utility Pressure
Pressure Score: 18 • Trend: Increasing
Low Pressure
Median gross rent proxy is $584 with 3.7% year-over-year movement.
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ESSENTIAL_INFLATION_PRESSURE
Essential Inflation Pressure
Pressure Score: 27 • Trend: Decreasing
Moderate
Essential burden proxy (gross rent to income) is 16.9% with -12.9% year-over-year movement.
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INCOME_OFFSET
Income Offset
Pressure Score: 61 • Trend: Decreasing
High Pressure
Median household income is $41,417 with 19.1% year-over-year growth.
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Research Path
Continue From Manderson-White Horse 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.