[**Link to Publication**][1] **Pre-Requisites** This R-pipeline was build using R version 4.3.0 (2023-04-21 ucrt) -- "Already Tomorrow" as well as RStudio 2023.03.1+446 "Cherry Blossom". All packages will be installed (if required) and loaded as part of the R-pipeline. You do not need to do this yourself. We have defined all file paths relative rather than absolute. This means that you do not need to define or modify any file paths yourself. **Running the Pipeline** Please read the pre-requisites and ensure that you are working with a current version of R and R-Studio. To run the pipeline, please open the R-project file *“QALE_repo.Rproj”*, which is stored in the overarching directory. This will prompt a new RStudio Session. You can then open the main control file of the program (*“01_main.R”*), which is stored in the “*RCode/*” folder. To run the pipeline, please select all code in “01_main.R” and run it (CTRL + A then CTRL + ENTER). The pipeline will run, and an html application will be stored in the folder “*ROutput/*”. The original code files which we have utilised to estimate the health component are stored in the folder "*_full*". Please note that these files require Understanding Society Survey data, which we do not provide here. By sharing model estimates no inferences can be made about actual Understanding Society survey respondents - neither directly, nor indirectly. All additional files (i.e., lookups, shapefiles, death and mid year population estimates queried via NOMIS) are free and publicly available; subject to an OGL license 3.0 with © Crown Copyright. [Link to an OGL license 3.0][2]. Mortality data was queried from the Human Mortality Database (HMD) under www.mortality.org. Data was downloaded on 2023/05/25 and has been archived here in its downloaded original format to ensure reproducibility. Please note that HMD data is updated regularly and can change. It is recommended to always download data directly from the HMD and not to work of copies shared by other users or via archives. **Acknowledgements** This work by the SIPHER Consortium was supported by the UK Prevention Research Partnership (MR/S037578/2), which is funded by the British Heart Foundation, Cancer Research UK, Chief Scientist Office of the Scottish Government Health and Social Care Directorates, Engineering and Physical Sciences Research Council, Economic and Social Research Council, Health and Social Care Research and Development Division (Welsh Government), Medical Research Council, National Institute for Health Research, Natural Environment Research Council, Public Health Agency (Northern Ireland), The Health Foundation and Wellcome. This research was conducted as part of the Systems Science in Public Health and Health Economics Research - SIPHER Consortium and we thank the whole team for valuable input and discussions that have informed this work. **Bug Reports & Feedback** Please direct bug reports directly to andreas.hoehn@glasgow.ac.uk Please direct questions or feedback marked “QALE” to sipher@glasgow.ac.uk More information about SIPHER can be found on our [website][3]. [1]: https://doi.org/bmjopen-2023-076704. [2]: https://sipher.ac.uk/pher.ac.uk/. [3]: https://sipher.ac.uk/pher.ac.uk/.