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No clear trend· Rural (RUCC 6)· Reported APS financial-abuse allegations
Data completeness
31.9%
of the 72 monthly values published as exact counts · 49 suppressed · 0 blank
FY2024–25 reported rate
26.4–263.9

Reported allegations per 10,000 residents age 65+

Estimated annual change
+2.8%

Modeled annual change in the reported allegation rate relative to the population age 65+

Trend classification
No clear trend

Not significant after FDR correction (q = 0.799)

Residents age 65+
3,410

American Community Survey 2024 5-year estimate

Interpretation

In FY2024–25, Colusa County recorded an estimated 26.4–263.9 reported financial-abuse allegations per 10,000 residents age 65+. Over the six-year window the modelled rate changed by about 2.8% per year upward, 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.

With about 3,410 residents age 65+, a handful of additional or missing reports can move this county's rate substantially, so year-to-year movement should be read cautiously. Because 68.1% of this county's monthly values were withheld, the plausible range around each annual rate is wide and the trend estimate rests on relatively few published counts.

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
  • · High suppression
  • · Very small senior population
  • · Trend estimated with substantial suppressed data
  • Very small senior population can cause large year-to-year rate swings
  • High suppression limits the precision of public counts

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.

0821652473292019–202020–212021–222022–232023–242024–25Fiscal year
Midpoint scenarioLow–high suppression scenario rangeReported allegations per 10,000 residents age 65+
Colusa County reported allegations and rates by fiscal year
Fiscal yearMonths availableSuppressed monthsReported allegationsRate per 10,000 age 65+
FY2019–201288–8026.0–259.6
FY2020–211299–9028.6–286.4
FY2021–221266–6018.9–189.2
FY2022–231288–8024.2–242.5
FY2023–241299–9026.8–268.3
FY2024–251299–9026.4–263.9

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. With only 3,410 residents age 65+, a handful of additional or missing reports can move this county's rate substantially.
  • · Suppression. 68.1% of this county's monthly values were published as “*” rather than as numbers, which widens the plausible descriptive 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+3,410
CA county average: 106,179
Senior share of population15.5%
CA county average: 19.4%
Median household income$75,672
CA county average: $89,387
Poverty rate11.4%
CA county average: 12.8%
Bachelor's degree or higher16.4%
CA county average: 30.5%
Broadband access84.6%
CA county average: 91.0%
Senior disability39.3%
CA county average: 34.3%
Seniors living alone (65+)37.1%
CA county average: 23.9%
Population density19.1/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). Small monthly counts are published as “*” rather than as numbers, so each suppressed month is treated as an interval-censored count from 1 through 10 and propagated into low, midpoint and high scenarios. Across the six completed fiscal years, published SOC 242 files consistently showed numeric zeroes, no positive numeric values from 1 through 10, and a minimum published positive value of 11. The Observatory therefore treats “*” observations as interval-censored counts from 1 through 10. This interval is empirically inferred from the publication pattern and is not presented as an officially documented CDSS suppression rule.

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.