simd2006_rank¶
1 = most deprived; identical to the Scottish Government rank
| Table | Type | Nullable | Category | In the CSV export | SQL Server type |
|---|---|---|---|---|---|
history table (postcode_simd_history, SPD) |
int16 | no | PHS SIMD, population-weighted | yes | smallint |
main table (postcode_simd, SSPL) |
int16 | no | PHS SIMD, population-weighted | yes | smallint |
Provenance (the same in both tables)¶
Each table runs its own copy of the table-level checks, named .history. and .main..
Where it comes from
| Input | Field | Condition | Reaches the row by |
|---|---|---|---|
PHS/simd2006_02042020.csv (pinned, SHA256 69f9fb1a2e51…) |
SIMD2006Rank |
DataZone2001Code = DataZone |
Scope: the row itself.
What was done to it: copied. The SIMD rank as published, 1 most deprived. (code: simd_ingest/core/phs.py: canonicalise_phs)
How it is checked (what each check tests; whether a build passed it is in that build's manifest.json["checks"])
source.hash.PHS/simd2006_02042020.csv: the pinned file's SHA256 equals the registry's: the bytes are exactly the ones reviewedphs.2006.source.schema: the PHS file's header is the declared onephs.2006.source.key_unique: each data zone appears once in the PHS filecross.2006.same_zones: PHS and the Government publish the same data zones for the editionjoin.<table>.phs.2006.every_record_matched: every record found its data zone in the edition: no empty cellreadback.<table>.attached_values: every attached value in the saved file is looked up again from the sources and equalphs.2006.source.rank_dense: the PHS ranks run 1 to the number of zones with no gapcross.2006.rank_identical: PHS and the Government publish the same rank for every zone