Aggregated hospital discharge rates and age-standardization pipeline for gastric cancer in Chile, 2018-2022

The dataset includes: (1) raw input CSV files with annual population denominators from the World Bank (BANCOMUNDIAL.csv) and the age-sex distribution of the 2024 Chilean Census used as the standard population (CENSO2024.csv); (2) the full Python pipeline (Code.py); (3) processed output files: descriptive counts matrix (Table A), crude hospital discharge rates by sex, age group, and year (Table 1), age-adjusted rates with standard errors calculated using the Stang & Gianicolo (2025) method (Table 2), and a tab-delimited Joinpoint-ready input file (table2_for_joinpoint.txt), all also provided as a consolidated Excel workbook; and (4) the Joinpoint Regression Program session file (Joinpoint - session.jps) with the exact software configuration used to produce the APC estimates reported in the manuscript.

No individually identifiable data are included. All primary data sources are publicly available.