simd2016_health_domain_pw_scotland_quintile¶
SIMD 2016 health domain, Scotland quintile, 1 = most deprived. Computed population-weighted band, using a midpoint rule validated against PHS's published overall bands; equal ranks grouped together; not published by PHS or the Government
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 | computed population-weighted domain band | yes | tinyint |
main table (postcode_simd, SSPL) |
int8 | no | computed population-weighted 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 |
|---|---|---|---|
data.gov.uk/SG_SIMD_2016/SG_SIMD_2016.dbf (pinned, SHA256 56de8f233702…) |
hlthrank |
every data zone of the edition | DataZone2011Code = datazone |
data.gov.uk/SG_SIMD_2016/SG_SIMD_2016.dbf (pinned, SHA256 56de8f233702…) |
sape2014 |
every data zone of the edition | DataZone2011Code = datazone |
Scope: every data zone of SIMD 2016, once, with its population; never the table's rows.
What was done to it: computed. Zones ordered by the domain rank, equal ranks one block; band = max(1, min(5, ceil(midpoint x 5 / total))), where midpoint is the cumulative population through the block minus half the block's. Computed, not published. (code: simd_ingest/core/weighted.py: population_bands)
How it is checked (what each check tests; whether a build passed it is in that build's manifest.json["checks"])
weighted.2016.zones: the population is joined to every PHS zone of the editionweighted.2016.reproduces_phs_scotland_quintile: the population midpoint rule reproduces PHS's published overall Scotland band on every zonejoin.<table>.simd2016_health_domain_pw_scotland_quintile.range: every joined band is within its rangereadback.<table>.attached_values: every attached value in the saved file is looked up again from the sources and equal