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The datasets underlying this observatory. All files are made available for research and non-commercial use; please cite this observatory and the underlying data sources.

county_analysis_full.csv

58 rows · 15 KB

Master analysis file: observed rate, cross-validated model-expected rate (expected_rate_cv), reporting difference, gap category, reporting status, and the six demographic model inputs for every California county.

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county_reporting_analysis.csv

58 rows · 8 KB

Statewide rank and percentile of each county's observed APS financial-abuse reporting rate, plus gap tier labels.

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county_report_cards.csv

58 rows · 7 KB

Per-county report-card metrics: a compact subset of headline fields intended for one-page county summaries.

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county_reporting_gap_cv.csv

58 rows · 10 KB

Redundant with county_analysis_full.csv

Cross-validated reporting-gap diagnostics. Redundant with county_analysis_full.csv and not used in on-site calculations; included here for reference.

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soc242_county_data.csv

354 rows · 320 KB

Raw SOC 242 · no column dictionary

Raw SOC 242 monthly county data as provided by CDSS. No published column dictionary is available for this file, so it is offered here as raw source data and is not used in on-site charts or calculations.

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Data Use Agreement

These data are derived from publicly available APS SOC 242 administrative records and U.S. Census Bureau ACS estimates. No individual-level records are included. Users are responsible for appropriate interpretation. The California Elder Fraud Observatory makes no warranty regarding fitness for any particular purpose. A reporting difference above or below the model-expected rate is not evidence of over- or under-reporting.