Skip to content

NeverDigitised

small-user only

NRS data dictionary (extracted; reviewed (AI-assisted review, 2026-10-02, record))

Dictionary table Type Range Description
spd small user (spd-indexdatadictionary-2026-2.docx) Char(1) Y or Null Indicates whether a postcode boundary has been digitised. Royal Mail introduced a mix of small and large user postcodes prior to the 2007 Election. These postcodes were introduced for use in postal votes. As they were planned for an ‘administrative’ use, we could not digitise the small user postcodes as they had no distinctive geographical position.
Table Type Nullable Category In the CSV export SQL Server type
history table (postcode_simd_history, SPD) string yes NRS Scottish Postcode Directory field yes nvarchar(200)

Provenance in the history table (postcode_simd_history, SPD)

Where it comes from

Input Field Condition Reaches the row by
SPD/spd_postcodeindex_cut_26_2_csv/SmallUser.csv (pinned, SHA256 fc82f1091ac1…) NeverDigitised records of the small-user file; only the small-user file has it, so it is null for the other's records the row itself

Scope: the row itself.

What was done to it: copied. Copied as text from the NRS Scottish Postcode Directory, unchanged; the two files are stacked. (code: simd_ingest/core/spd.py: read_index_file, union_index)

How it is checked (what each check tests; whether a build passed it is in that build's manifest.json["checks"])

  • spd.small_user.schema: the SPD file's header is exactly the reviewed header, in order
  • spd.large_user.schema: the SPD file's header is exactly the reviewed header, in order
  • spd.columns: the two SPD files together carry the expected columns
  • readback.history.index_columns: the saved file's NRS columns equal the source, re-read

Why: spd-cut-edition, single-combined-output, record-key