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No clear trend· Rural (RUCC 8)· Reported APS financial-abuse allegations
Data completeness
84.7%
of the 72 monthly values published as exact counts · 3 suppressed · 8 blank
FY2024–25 reported rate
0.0

Reported allegations per 10,000 residents age 65+

Estimated annual change
-65.3%

Modelled change per year in reported allegations

Trend classification
No clear trend

Not significant after FDR correction (q = 0.078)

Residents age 65+
341

Most recent annual senior population estimate

Interpretation

In FY2024–25, Alpine County recorded 0.0 reported financial-abuse allegations per 10,000 residents age 65+. Over the six-year window the modelled rate changed by about 65.3% per year downward, which was classified as no clear trend.

“No clear trend” means there was not enough statistical evidence after multiple-testing correction. It does not mean the county was proven to be flat.

SOC 242 records allegations reported to county Adult Protective Services agencies. It does not measure confirmed or substantiated abuse and should not be interpreted as the true prevalence of elder financial exploitation.

Data quality flags
  • · Low suppression
  • · Very small senior population
  • · Standard interpretation
  • Very small senior population can cause large year-to-year rate swings

Reported allegation rate by fiscal year

Midpoint scenario with the low–high range implied by suppressed monthly counts. Where a county publishes every month exactly, the band collapses onto the line.

02284556839102019–202020–212021–222022–232023–242024–25Fiscal year
Midpoint scenarioLow–high suppression scenario rangeReported allegations per 10,000 residents age 65+
Alpine County reported allegations and rates by fiscal year
Fiscal yearMonths availableSuppressed monthsReported allegationsRate per 10,000 age 65+
FY2019–201222–2064.3–643.1
FY2020–2112000.0
FY2021–22411–1079.2–791.6
FY2022–2312000.0
FY2023–2412000.0
FY2024–2512000.0

What could explain this pattern?

  • · Awareness and outreach. Public campaigns and mandated-reporter training change how many concerns reach APS.
  • · Agency capacity. Intake staffing, hotline hours, and case-coding practices affect what gets recorded.
  • · Referral pathways. Bank, law-enforcement, and healthcare partnerships route reports differently by county.
  • · Population structure. 341 residents age 65+ means small changes in counts can move the rate substantially in a small county.
  • · Suppression. 4.2% of this county's monthly values are withheld, widening the plausible range.

These are candidate explanations only. Nothing on this page establishes causation.

County demographics vs. California county average

Unweighted average across all 58 counties. Context only — these variables are not used to predict the reported rate.

Residents age 65+341
CA county average: 106,179
Senior share of population21.1%
CA county average: 19.4%
Median household income$105,521
CA county average: $89,387
Poverty rate10.0%
CA county average: 12.8%
Bachelor's degree or higher41.1%
CA county average: 30.5%
Broadband access90.6%
CA county average: 91.0%
Senior disability27.6%
CA county average: 34.3%
Seniors living alone (65+)12.6%
CA county average: 23.9%
Population density2.2/mi²
CA county average: 696.4/mi²
How to read this profile

Reported APS allegations are not confirmed cases and do not measure the true prevalence of elder financial exploitation.

Methodology for this page

Monthly SOC 242 financial-abuse allegation counts were assembled for a common six-year window (FY2019–20 through FY2024–25). Counts below the public reporting threshold are published as suppressed rather than as numbers, so each suppressed month is treated as an interval and propagated into low, midpoint and high scenarios.

Rates use year-specific population age 65+ as exposure. Trends come from interval-censored Negative Binomial models fitted per county, with significance corrected across all 58 counties using the Benjamini–Hochberg false discovery rate procedure.