Open Science
Open Datasets for Aging Research
We publish synthetic populations that preserve real-world distributions without exposing any individual. Downloadable, citable, and statistically validated.
What This Data Is
Each dataset is a synthetic population generated from official public sources (such as UN World Population Prospects). It reproduces real-world distributions by country, year, age, and sex — but every record is a fictitious sampled person: it does not correspond to any real human being. This enables reproducible aging research without compromising anyone's privacy.
Featured Dataset
HAS Synthetic Population Dataset — México v1.0.0
DOI coming soon- Persons
- ≈12.7M
- Years
- 1950–2023
- Sample
- 10%
- License
- CC-BY 4.0
How It Is Generated
For each real cohort (year, age, sex) we sample 10% of the population as synthetic persons. Age, sex, and year marginals are preserved by construction. Sampling is deterministic: the same seed reproduces exactly the same dataset, and each release includes a statistical validation report.
Known Limitations
- The socioeconomic quintile uses a provisional equiprobable distribution, until a real inequality source is integrated.
- This version models only the demographic dimensions of layer 1 (country, year, age, sex).
- Biomedical variables (BMI, comorbidities, genetic factors) are coming in future versions.
Privacy Guarantee
How to Cite
If you use this dataset in your research, please cite it as follows:
Plain Text
Castillejos, A. (2026). HAS Synthetic Population Dataset — México v1.0.0 [Data set]. Zenodo. https://doi.org/ (pending)
BibTeX
@dataset{has_synthpop_mex_1_0_0,
author = {Castillejos, A.},
title = {HAS Synthetic Population Dataset — México v1.0.0},
year = {2026},
publisher = {Zenodo},
version = {1.0.0},
license = {CC-BY 4.0},
note = {DOI pending}
}Last updated: 2026-07-08