About this Dataset

Deaths From Cardiovascular Disease

This data shows premature deaths (Age under 75) from Cardiovascular Disease, numbers and rates by gender, as 3-year moving-averages. Cardiovascular Disease include heart diseases and stroke, and others. Socio-economic and lifestyle factors are associated with circulatory disease deaths and inequalities in circulatory disease rates. Modifiable risk factors include smoking, excess weight, diet, and physical inactivity. Directly Age-Standardised Rates (DASR) are shown in the data, where numbers are sufficient, so that death rates can be directly compared between areas. The DASR calculation applies Age-specific rates to a Standard (European) population to cancel out possible effects on crude rates due to different age structures among populations, thus enabling direct comparisons of rates. A limitation on using mortalities as a proxy for prevalence of health conditions is that mortalities may give an incomplete view of health conditions in an area, as ill-health might not lead to premature death. Data source: NHS Digital (now part of NHS England) Compendium hub, dataset unique identifier P00395. This data is updated annually.
Publisher name: Lincolnshire County Council
Last updated: 2025-03-13T04:00:03Z

Tables

Deaths From Cardiovascular Disease

@ukgov.deaths_from_circulatory_disease.deaths_from_cardiovascular_disease

17.86 kB
80 rows
17 columns

CREATE TABLE deaths_from_cardiovascular_disease (
  "organisationlabel" VARCHAR,
  "organisationuri" VARCHAR,
  "publisheddate" TIMESTAMP,
  "durationfrom" TIMESTAMP,
  "durationto" TIMESTAMP,
  "latestdata" BOOLEAN,
  "period" VARCHAR,
  "geoentityname" VARCHAR,
  "geocode" VARCHAR,
  "geoname" VARCHAR,
  "geouri" VARCHAR,
  "persons_number_deathsunder75" DOUBLE,
  "persons_dasr_deathsunder75" DOUBLE,
  "females_number_deathsunder75" DOUBLE,
  "females_dasr_deathsunder75" DOUBLE,
  "males_number_deathsunder75" BIGINT,
  "males_dasr_deathsunder75" DOUBLE
);

Table 2

@ukgov.deaths_from_circulatory_disease.table_2

11.64 kB
17 rows
12 columns

CREATE TABLE table_2 (
  "dataset_id" BIGINT,
  "dataset_name" VARCHAR,
  "field" VARCHAR,
  "type" VARCHAR,
  "mandatory_or_optional_requirement_mor" VARCHAR  -- Mandatory Or Optional Requirement (MOR),
  "field_description" VARCHAR,
  "schema" VARCHAR,
  "lcc_mapping" VARCHAR,
  "schema_comments" VARCHAR,
  "schema_data_rules_comment" VARCHAR,
  "formatreference" VARCHAR,
  "example" VARCHAR
);