Spatial modelling of rural infant mortality and occupation in 19th-century Britain

<b>Background</b>: Infant mortality in 19th century rural places has been largely neglected: to study it offers new insight into rural demography. <b>Objective</b>: This study examines infant mortality, and census occupations, between 1851 and 1911 across all the rural Reg...

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Main Authors: Paul Atkinson, Brian Francis, Ian Gregory, Catherine Porter
Format: Article
Language:English
Published: Max Planck Institute for Demographic Research 2017-04-01
Series:Demographic Research
Subjects:
Online Access:https://www.demographic-research.org/volumes/vol36/44/
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spelling doaj-7beeb384bc1b4fd59321b06f709e12742020-11-24T21:05:58ZengMax Planck Institute for Demographic ResearchDemographic Research1435-98712017-04-01364410.4054/DemRes.2017.36.443425Spatial modelling of rural infant mortality and occupation in 19th-century BritainPaul Atkinson0Brian Francis1Ian Gregory2Catherine Porter3Lancaster UniversityLancaster UniversityLancaster UniversityLancaster University<b>Background</b>: Infant mortality in 19th century rural places has been largely neglected: to study it offers new insight into rural demography. <b>Objective</b>: This study examines infant mortality, and census occupations, between 1851 and 1911 across all the rural Registration Districts (RDs) of England and Wales. <b>Methods</b>: The decadal 1850s−1900s RD-level demographic data in the GB Historical GIS (GBHGIS) is analysed using latent trajectory analysis to identify clusters of RDs whose infant mortality rate (IMR) trajectories are most similar: these are mapped in ArcGIS. The recently published Integrated Census Microdata (I-CeM) resource is then used to study relationships between IMR and census-reported occupation. Geographically Weighted Regression is employed to explore spatial variation in the coefficient with which occupation affected IMR. <b>Results</b>: The study describes a previously unreported pattern of mortality variation, identifying seven groups of RDs with distinctive trajectories of infant mortality. A spatially varying link between IMR and female occupation rates in agriculture is noted. <b>Conclusions</b>: Spatial variation in rural social structures had demographic consequences. The decline in female agricultural occupation may have removed a source of harm to infant lives in the arable economy of the south and east, but simultaneously a source of benefit in the upland, pastoral north and west. <b>Contribution</b>: Findings about the costs and benefits of female agricultural employment can help explain the different trajectories of infant mortality in different regions, suggesting that female occupation and the details of what work women did could be a strong influence, positive or negative, on infant mortality.https://www.demographic-research.org/volumes/vol36/44/19th centuryagricultureEnglandfamilygenderhistorical demographyinfant mortalityWales
collection DOAJ
language English
format Article
sources DOAJ
author Paul Atkinson
Brian Francis
Ian Gregory
Catherine Porter
spellingShingle Paul Atkinson
Brian Francis
Ian Gregory
Catherine Porter
Spatial modelling of rural infant mortality and occupation in 19th-century Britain
Demographic Research
19th century
agriculture
England
family
gender
historical demography
infant mortality
Wales
author_facet Paul Atkinson
Brian Francis
Ian Gregory
Catherine Porter
author_sort Paul Atkinson
title Spatial modelling of rural infant mortality and occupation in 19th-century Britain
title_short Spatial modelling of rural infant mortality and occupation in 19th-century Britain
title_full Spatial modelling of rural infant mortality and occupation in 19th-century Britain
title_fullStr Spatial modelling of rural infant mortality and occupation in 19th-century Britain
title_full_unstemmed Spatial modelling of rural infant mortality and occupation in 19th-century Britain
title_sort spatial modelling of rural infant mortality and occupation in 19th-century britain
publisher Max Planck Institute for Demographic Research
series Demographic Research
issn 1435-9871
publishDate 2017-04-01
description <b>Background</b>: Infant mortality in 19th century rural places has been largely neglected: to study it offers new insight into rural demography. <b>Objective</b>: This study examines infant mortality, and census occupations, between 1851 and 1911 across all the rural Registration Districts (RDs) of England and Wales. <b>Methods</b>: The decadal 1850s−1900s RD-level demographic data in the GB Historical GIS (GBHGIS) is analysed using latent trajectory analysis to identify clusters of RDs whose infant mortality rate (IMR) trajectories are most similar: these are mapped in ArcGIS. The recently published Integrated Census Microdata (I-CeM) resource is then used to study relationships between IMR and census-reported occupation. Geographically Weighted Regression is employed to explore spatial variation in the coefficient with which occupation affected IMR. <b>Results</b>: The study describes a previously unreported pattern of mortality variation, identifying seven groups of RDs with distinctive trajectories of infant mortality. A spatially varying link between IMR and female occupation rates in agriculture is noted. <b>Conclusions</b>: Spatial variation in rural social structures had demographic consequences. The decline in female agricultural occupation may have removed a source of harm to infant lives in the arable economy of the south and east, but simultaneously a source of benefit in the upland, pastoral north and west. <b>Contribution</b>: Findings about the costs and benefits of female agricultural employment can help explain the different trajectories of infant mortality in different regions, suggesting that female occupation and the details of what work women did could be a strong influence, positive or negative, on infant mortality.
topic 19th century
agriculture
England
family
gender
historical demography
infant mortality
Wales
url https://www.demographic-research.org/volumes/vol36/44/
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