simd2012_health_domain_quintile¶
Scottish Government SIMD 2012 health domain quintile, unweighted, 1 = most deprived; copied exactly as published on statistics.gov.scot, never derived; the publisher places some tied zones in adjacent bands
What the health domain measures (indicators in the Scottish Government's SIMD 2020v2 glossary; earlier editions' indicators differ in detail):
- Comparative illness factor (
HlthCIFSR, standardised ratio; SIMD 2020v2 glossary: a 2020v2 example, not verified for this edition) - Hospital stays related to alcohol use (
HlthAlcSR, standardised ratio; SIMD 2020v2 glossary: a 2020v2 example, not verified for this edition) - Hospital stays related to drug use (
HlthDrugSR, standardised ratio; SIMD 2020v2 glossary: a 2020v2 example, not verified for this edition) - Mortality (
HlthSMR, standardised ratio; SIMD 2020v2 glossary: a 2020v2 example, not verified for this edition) - Proportion of population being prescribed drugs for anxiety, depression or psychosis (
HlthDprsPc, percentage; SIMD 2020v2 glossary: a 2020v2 example, not verified for this edition) - Proportion of live singleton births of low birth weight (
HlthLBWTPc, percentage; SIMD 2020v2 glossary: a 2020v2 example, not verified for this edition) - Emergency stays in hospital (
HlthEmerSR, standardised ratio; SIMD 2020v2 glossary: a 2020v2 example, not verified for this edition)
| Table | Type | Nullable | Category | In the CSV export | SQL Server type |
|---|---|---|---|---|---|
history table (postcode_simd_history, SPD) |
int8 | no | Scottish Government published domain band | yes | tinyint |
main table (postcode_simd, SSPL) |
int8 | no | Scottish Government published domain band | yes | tinyint |
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 |
|---|---|---|---|
statistics.gov.scot/simd_historical_2004_2012.csv (pinned, SHA256 d9745d9d7763…) |
Value |
SIMD Domain = Health, Measurement = Quintile, DateCode = 2012 | DataZone2001Code = FeatureCode |
data.gov.uk/SG_SIMD_2012/SG_SIMD_2012.dbf (pinned, SHA256 4dc58c30c7d0…) |
hlthrank |
the rank the published rank must equal, or differ from as declared | DataZone2001Code = datazone |
Scope: the row itself.
What was done to it: copied (gated). The Scottish Government's published band, copied, never derived; admitted only where the published rank is the shapefile's, a half the dataset rounds up allowed. (code: simd_ingest/core/govscot.py: read_published_bands)
How it is checked (what each check tests; whether a build passed it is in that build's manifest.json["checks"])
source.hash.statistics.gov.scot/simd_historical_2004_2012.csv: the pinned file's SHA256 equals the registry's: the bytes are exactly the ones reviewedgovscot.2012.bands.years: the band file holds exactly the years the registry declares for itgovscot.2012.bands.health.zones: every zone of the edition is published once for the domaingovscot.2012.bands.health.ranks_agree: every published rank equals the shapefile rank, or differs only in a declared wayjoin.<table>.gov.2012.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 equalgovscot.2012.bands.health.quintile.whole: every published band is a whole numbergovscot.2012.bands.health.quintile.range: every published band is within its rangegovscot.2012.bands.health.quintile.monotone: the published band never falls as the published rank rises (a split tie is allowed)join.<table>.simd2012_health_domain_quintile.range: every joined band is within its range