Introduction We are enclosing the database used in our research titled "Concentration and Geospatial Modelling of Health Development Offices' Accessibility for the Total and Elderly Populations in Hungary", along with our statistical calculations. For the sake of reproducibility, further information can be found in the file Short_Description_of_Data_Analysis.pdf and Statistical_formulas.pdf The sharing of data is part of our aim to strengthen the base of our scientific research. As of March 7, 2024, the detailed submission and analysis of our research findings to a scientific journal has not yet been completed. Short Description of Data Analysis and Attached Files (datasets): Our research utilised data from 2022, serving as the basis for statistical standardisation. The 2022 Hungarian census provided an objective basis for our analysis, with age group data available at the county level from the Hungarian Central Statistical Office (KSH) website. The 2022 demographic data provided an accurate picture compared to the data available from the 2023 microcensus. The used calculation is based on our standardisation of the 2022 data. For xlsx files, we used MS Excel 2019 (version: 1808, build: 10406.20006) with the SOLVER add-in. Hungarian Central Statistical Office served as the data source for population by age group, county, and regions: https://www.ksh.hu/stadat_files/nep/hu/nep0035.html, (accessed 04 Jan. 2024.) with data recorded in MS Excel in the Data_of_demography.xlsx file. In 2022, 108 Health Development Offices (HDOs) were operational, and it's noteworthy that no developments have occurred in this area since 2022. The availability of these offices and the demographic data from the Central Statistical Office in Hungary are considered public interest data, freely usable for research purposes without requiring permission. The contact details for the Health Development Offices were sourced from the following page (Hungarian National Population Centre (NNK)): https://www.nnk.gov.hu/index.php/efi (n=107). The Semmelweis University Health Development Centre was not listed by NNK, hence it was separately recorded as the 108th HDO. More information about the office can be found here: https://semmelweis.hu/egeszsegfejlesztes/en/ (n=1). (accessed 05 Dec. 2023.) Geocoordinates were determined using Google Maps (N=108): https://www.google.com/maps. (Accessed 02 Jan. 2024.) Recording of geocoordinates (latitude and longitude according to WGS 84 standard), address data (postal code, town name, street, and house number), and the name of each HDO was carried out in the: Geo_coordinates_and_names_of_Hungarian_Health_Development_Offices.csv file. The foundational software for geospatial modelling and display, QGIS 3.34, an open-source software, can be downloaded from: https://qgis.org/en/site/forusers/download.html. (accessed 04 Jan. 2024.) The EFI.qgz QGIS project file contains Hungary's administrative map and the recorded addresses of the HDOs from the Geo_coordinates_and_names_of_Hungarian_Health_Development_Offices.csv file, imported via .csv file. The OpenStreetMap tileset is directly accessible from www.openstreetmap.org in QGIS. (accessed 04 Jan. 2024.) A brief description of the statistical formulas applied is included in the Statistical_formulas.pdf. Recording of our base data for statistical concentration and diversification measurement was done using MS Excel 2019 (version: 1808, build: 10406.20006) in .xlsx format. Aggregated number of HDOs by county: Number_of_HDOs.xlsx Standardised data (Number of HDOs per 100,000 residents): Standardized_data.xlsx Calculation of the Lorenz curve: Lorenz_curve.xlsx Calculation of the Gini index: Gini_Index.xlsx Calculation of the LQ index: LQ_Index.xlsx Calculation of the Herfindahl-Hirschman Index: Herfindahl_Hirschman_Index.xlsx Calculation of the Entropy index: Entropy_Index.xlsx Regression and correlation analysis calculation: Regression_correlation.xlsx The translation of these supplementary files into English was completed on 1st Mar. 2024. If you have any further questions regarding the dataset, please contact the corresponding author: domjan.peter@phd.semmelweis.hu