An open-source and spatially diverse synthetic population dataset for agent-based modelling and microsimulation in Ireland

Spatial microsimulations, where simulation units represent people or households in a small area, are extremely useful for modelling a wide range of socio-economic scenarios at a fine scale. The characteristics of individuals in these simulations' populations need to accurately represent the real characteristics of the target area to model realistic scenarios. However, individual-level data is not available for the vast majority of populations, Ireland included, due to privacy concerns. Thus, a representative synthetic population for the Republic of Ireland is needed. The data from four methods of generating synthetic populations at the Electoral Division level are given in this paper. Realistic individuals are created by sampling from the Central Statistics Office (CSO) Labour Force Survey. Spatial heterogeneity is achieved by matching the aggregate counts of individuals' characteristics to those from the CSO Census Small Area Population Statistics. Individuals are assigned six characteristics: age group, sex, marital status, house size, primary economic status, and highest level of education achieved.

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Publication Details

Journal
Data in Brief
Published
2025-05-01
DOI
https://doi.org/10.1016/j.dib.2025.111611
Primary Topic
demographic modeling and climate adaptation
Type
article
Field-Weighted Citation Impact
0.00

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article

An open-source and spatially diverse synthetic population dataset for agent-based modelling and microsimulation in Ireland

Patrick Mannion, Karl Mason, Seán Caulfield Curley
Data in Brief
demographic modeling and climate adaptation
article

An open-source and spatially diverse synthetic population dataset for agent-based modelling and microsimulation in Ireland

Patrick Mannion, Karl Mason, Seán Caulfield Curley
article en

Abstract

Spatial microsimulations, where simulation units represent people or households in a small area, are extremely useful for modelling a wide range of socio-economic scenarios at a fine scale. The characteristics of individuals in these simulations' populations need to accurately represent the real characteristics of the target area to model realistic scenarios. However, individual-level data is not available for the vast majority of populations, Ireland included, due to privacy concerns. Thus, a representative synthetic population for the Republic of Ireland is needed. The data from four methods of generating synthetic populations at the Electoral Division level are given in this paper. Realistic individuals are created by sampling from the Central Statistics Office (CSO) Labour Force Survey. Spatial heterogeneity is achieved by matching the aggregate counts of individuals' characteristics to those from the CSO Census Small Area Population Statistics. Individuals are assigned six characteristics: age group, sex, marital status, house size, primary economic status, and highest level of education achieved.

Data in BriefVol. 60
Ollscoil na Gaillimhe – University of Galway (IE)
University of Galway
Openalex Percentile: Top 90%
demographic modeling and climate adaptation
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An open-source and spatially diverse synthetic population dataset for agent-based modelling and microsimulation in Ireland — Patrick Mannion, Karl Mason, et al. · Data in Brief (2025) | TGRS Research Map | TGRS