Datasets

Every number on this site is downloadable

These are the validated files behind the Observatory. Each is published as-is, including the suppression accounting that makes the uncertainty in county rates explicit.

county_reporting_profile_SITE_READY.csv

58 rows · 24 KB · Primary dataset

Primary site dataset. One row per county: FY2024–25 reported allegation rate (low, midpoint, high), estimated annual percent change, trend classification, FDR q-value, monthly data availability, senior population, and demographic context variables.

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county_trend_censored_nb_COMMON_TIME.csv

58 rows · 7 KB

Interval-censored Negative Binomial trend estimates over the common six-year window: annual percent change, p-value, Benjamini–Hochberg q-value, significance flag, and interpretation cautions.

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county_yearly_suppression_rates_CORRECTED.csv

58 counties × 6 fiscal years · 41 KB

County-by-year reported allegation counts and rates under the low, midpoint and high suppression scenarios, with available and suppressed month counts for each fiscal year.

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statewide_trend_rates_CORRECTED.csv

6 rows · 1 KB

Statewide reported allegation totals and rates per 10,000 senior person-years for each fiscal year, under all three suppression scenarios.

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county_data_availability_final.csv

58 rows · 5 KB

Accounting of every county-month in the study window: exact values, suppressed values, blank values, and the resulting data-quality flag.

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county_annual_65plus_population_2019_2024.csv

58 counties × 6 years · 14 KB

Annual population age 65+ by county, used as the exposure denominator for every rate on the site.

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county_master_SITE_SAFE.csv

58 rows · 6 KB

Compact merged reference file combining county identifiers, demographic context and headline reporting fields.

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MANIFEST.csv

7 rows · 1 KB

SHA-256 checksums for every dataset published above, so downloads can be verified against the audited originals.

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Citation

Chandran-Moles, L. California Elder Fraud Observatory: county-level trends in reported APS elder financial-abuse allegations, FY2019–20 to FY2024–25. Independent research project. Data derived from CDSS SOC 242 reports and U.S. Census Bureau population estimates.

Terms of use

These files describe allegations reported to county Adult Protective Services agencies. They are not confirmed abuse cases and must not be used to rank counties or to claim that one county has more or less elder financial abuse than another.