Data report on three datasets: Mortality patterns between agricultural and non-agricultural ward areas

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The health of the farming community in Northern Ireland (NI) requires further research as previous mortality studies have reported contradictory results regarding farmers' health outcomes compared against other occupations and the general population. This study collated the NINIS area-level farm census with the population census information across 582 non-overlapping wards of NI to compile three mortality datasets (2001, 2011, and pooled dataset) (NISRA 2019). These datasets allow future researchers to investigate the influence of demographic, farming, and economic predictors on all-cause mortality at the ward level. The 2001 and 2011 mortality datasets were compiled for cross-sectional analyses and subsequently pooled for longitudinal analyses. Findings from these datasets will provide evidence of the influence of Farming Intensity scores influence on death risk within the wards for future researchers to utilise. This data report will aid in the understanding of socio-ecological variables' additive contribution to the risk of death at the ward level within NI. This data report is of interest to the One Health research community as it standardises the environment-human-animal data to pave the way towards a new One Health research paradigm. For example, future researchers can use this nationally representative data to investigate whether agriculturally saturated wards have a higher mortality risk than non-agriculturally based wards of NI. [Abstract copyright: Copyright © 2023 Trearty, Bunting and Mallett.]
Original languageEnglish
Article number953167
Pages (from-to)1-7
Number of pages7
JournalFrontiers in Genetics
Early online date4 Jan 2023
Publication statusPublished online - 4 Jan 2023

Bibliographical note

Publisher Copyright:
Copyright © 2023 Trearty, Bunting and Mallett.


  • area-level data
  • population census
  • aggregated data
  • Northern Ireland
  • Northern Ireland Neighbourhood Service (NINIS)
  • agricultural versus non-agricultural wards
  • farm census
  • death trends


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