Di Miceli, M. orcid.org/0000-0003-3713-0370 (2026) Geospatial Visualisation of Distance to General Practitioner Facilities with Population Density Patterns in the United Kingdom. Epidemiologia, 7 (3). 85. ISSN: 2673-3986
Abstract
Background/Objectives: To quantify geographical distances to nearest general practitioner (GP) services for all household postcodes in the United Kingdom. Methods: We mapped household postcodes in the United Kingdom and computed distances to nearest GP practice, using centroid geographical coordinates (latitude and longitude). We also analysed the total number of GP practices throughout local area districts (LADs) in relation to population density. Results: As of December 2023, there were 7965 active GP practices across the UK, serving a total registered population of over 73 million patients. Analysis of 1.78 million household postcodes revealed that 98.8% were within 10 km of a GP practice (measured as a straight-line). The most distant postcode was in the Shetland. Throughout the UK, population density was weakly or strongly correlated with number of GP practices in the different LADs, with wide variations, and the strongest correlation observed in Northern Ireland. Conclusions: In the UK, geographical proximity to nearest GP practice was found to be within 10 km for the vast majority of residents. Weak to strong correlations between population density and number of GP practices were observed. Future work should quantify the impact of both staffing capacity and public transport availability on distance to GP surgeries across the UK, to better characterise structural determinants of primary care accessibility.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 2026 by the author. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | health services indicators; measurements; distance to primary care; United Kingdom |
| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Biological Sciences (Leeds) > School of Biomedical Sciences (Leeds) |
| Date Deposited: | 25 Jun 2026 08:57 |
| Last Modified: | 25 Jun 2026 08:57 |
| Status: | Published |
| Publisher: | MDPI |
| Identification Number: | 10.3390/epidemiologia7030085 |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:242185 |

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