Replication data for "svy: A Python Package for Complex Survey Design and Analysis"

Replication data for: "svy: A Python Package for Complex Survey Design and Analysis" This record contains the dataset required to reproduce the results in Diallo, 2026, submitted to the Journal of Statistical Software. The accompanying code is available at https://github.com/MamadouSDiallo/svy-jss-replication. ## Contents hld_pop_wb_2023.parquet (91.9 MB): A synthetic household-level dataset of 2,501,755 records representing the full population of households in an imaginary middle-income country, containing variables typical of population censuses and household surveys (dwelling characteristics, water and sanitation, asset ownership, household expenditure, and household composition), generated using REaLTabFormer for training and simulation purposes. ## Usage The replication script replication.py in the code repository expects these files to be placed in a data/ directory at the project root. ## Source and processing This dataset is derived from synthetic survey data published by the World Bank Development Data Group: World Bank (2023a). Synthetic Data for an Imaginary Country, Full Population, 2023. https://doi.org/10.48529/78M1-AE09 Note: The underlying datasets are entirely synthetic and are not intended for real-world applications. They are provided solely for educational and methodological purposes. The concepts, definitions, targets, and other specifications used in this work do not necessarily reflect those of the World Bank, the World Health Organization (WHO), UNICEF, or any other referenced institutions. ## License Released under [CC-BY 4.0]. When using this dataset, please cite both the paper and this Zenodo record.