2026-05-14T16:24:07Z https://api.figshare.com/v2/oai
oai:figshare.com:article/28485338 2025-12-08T14:05:21Z category_27589 category_27577 category_27598 category_27607 category_27604 portal_549 item_type_3 month_year_12_2025
10.5522/04/28485338.v1 https://figshare.com/articles/dataset/OAC2021-2_Ancillary_data_and_link_to_Github/28485338 https://ndownloader.figshare.com/files/52601444 https://ndownloader.figshare.com/files/52604723 https://ndownloader.figshare.com/files/52604771 https://ndownloader.figshare.com/files/52604849 https://discovery.ucl.ac.uk/id/eprint/10189266/ https://discovery.ucl.ac.uk/id/eprint/10179832/1/A%20neighbourhood%20Output%20Area%20Classification%20from%20the%202021%20and%202022%20UK%20censuses.pdf https://github.com/ESRC-CDRC/OAC2021-2 wyszomerski, jakub jakub wyszomerski <![CDATA[OAC2021-2 Ancillary data and link to Github]]> Population geography Economic geography Social geography Human geography not elsewhere classified Urban geography geodemographics, quantititive analysis quantitative geography human geography population regional disparities 2025-12-08 2025-12-08 Dataset 2025 University College London Creation of the 2021/2 Output Area Classification

[External Github Repo LINK]

Scripts

  • Metadata.R - creating reference tables and glossaries for Census data.
  • Downloading_data.R – downloading 2011 and 2021 Census data from NOMIS using nomisr package.
  • Comparing_Censuses.R - data cleaning and amalgamation.
  • Transforming_Census_data.R – data manipulation and transformation for the classification.
  • NI.R – modelling 2021 data for Northern Ireland.
  • Correlation.R - testing correlation between the variables.
  • Pre-clustering.R - preparing data for clustering.
  • Clustering.R - clustering of the data.
  • Post-clustering.R - creating maps and plots of the cluster solution.
  • Testing_clustering.R
  • Clustergrams.ipynb – creating Clustergrams in Python. (Credits: Prof Alex Singleton)
  • Industry.R - loading Industry data
  • Industry_classification.R - creating geodemographic classification with Industry variables
  • Graph_comparisons.R - comparing data with graphs

Data

List of folders (subfolders & files) in the project:

  • API - Census data downloaded and saved with use of nomisr package.
  • Clean – amalgamated data ready for the analysis.
    • Raw_counts - datasets with raw counts
    • Percentages - datasets transformed into percentages
    • Transformed - datasets transformed with IHS (analysis-ready)
    • Final_variables - datasets with OAC variables only
    • All_data_clustering - results of the clustering for all investigated datasets.
  • Clustering - datasets with cluster assignment for the UK and centroids.
  • Lookups - reference tables for 2011 and 2021 Census variables.
  • NISRA 2021 - 2021 Census data at LGD level for Northern Ireland.
  • Objects - R objects created and stored to ensure consistency of the results or load big files
  • SIR – contingency tables on disability counts by age, utilised for calculation of Standardised Illness Ratio.
  • shapefiles - folder containing shapefiles used for some of the calculations.

Plots

  • Bar_plots - Comparison of clusters to the UK (as well as Supergroup and Group averages)
  • Clustergrams – plots used to establish number of clusters at each classification level.

Maps


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