This statistic displays the rate of deaths caused by cardiovascular diseases in the United Kingdom from 2000 to 2022. In 2022, there were *** deaths per 100,000 population from cardiovascular diseases, one of the lowest rates in the provided time interval.

The cardiovascular disease profiles have been updated by Public Health England (PHE).

The profiles provide an overview of data on cardiovascular and cardiovascular related conditions of heart disease, stroke, diabetes and kidney disease. They are intended to help commissioners and health professionals assess the impact of cardiovascular disease (CVD) on their local population, make decisions about services and improve outcomes for patients.

The cardiovascular disease profiles are one of a range of data and analysis resources produced by PHE’s National Cardiovascular Intelligence Network (NCVIN).

NVCIN has released a range of cardiovascular disease guidance, data and intelligence resources.

This statistic displays the mortality rate from cardiovascular disease in the United Kingdom in 2022, by country. In that year, Scotland had the highest death rate from the disease, with 334 deaths per 100,000 population.

Update 2 March 2023: Following the merger of NHS Digital and NHS England on 1st February 2023 we are reviewing the future presentation of the NHS Outcomes Framework indicators. As part of this review, the annual publication which was due to be released in March 2023 has been delayed. Further announcements about this dataset will be made on this page in due course. Directly standardised mortality rate from cardiovascular disease for people aged under 75, per 100,000 population. To ensure that the NHS is held to account for doing all that it can to prevent deaths from cardiovascular disease in people under 75. Some different patterns have been observed in the 2020 mortality data which are likely to have been impacted by the coronavirus (COVID-19) pandemic. Statistics from this period should also be interpreted with care. Legacy unique identifier: P01730

This statistic displays the mortality rate from coronary heart disease in the United Kingdom in 2023, by country. In that year, Scotland had the highest death rate from the disease, with *** deaths per 100,000 population.

Legacy unique identifier: P00251

This statistic displays the prevalence of diagnosed coronary heart disease (CHD) among those older than 55 years of age in England in 2018/19, by gender and age. CHD is more prevalent in men across all age groups. **** percent of men aged 70 to 74 years had been diagnosed with CHD compared to *** percent of women in the same age group.

Legacy unique identifier: P00250

SUMMARYThis analysis, designed and executed by Ribble Rivers Trust, identifies areas across England with the greatest levels of coronary heart disease (in persons of all ages). Please read the below information to gain a full understanding of what the data shows and how it should be interpreted.ANALYSIS METHODOLOGYThe analysis was carried out using Quality and Outcomes Framework (QOF) data, derived from NHS Digital, relating to coronary heart disease (in persons of all ages).This information was recorded at the GP practice level. However, GP catchment areas are not mutually exclusive: they overlap, with some areas covered by 30+ GP practices. Therefore, to increase the clarity and usability of the data, the GP-level statistics were converted into statistics based on Middle Layer Super Output Area (MSOA) census boundaries.The percentage of each MSOA’s population (all ages) with coronary heart disease was estimated. This was achieved by calculating a weighted average based on:The percentage of the MSOA area that was covered by each GP practice’s catchment areaOf the GPs that covered part of that MSOA: the percentage of registered patients that have that illness The estimated percentage of each MSOA’s population with coronary heart disease was then combined with Office for National Statistics Mid-Year Population Estimates (2019) data for MSOAs, to estimate the number of people in each MSOA with coronary heart disease, within the relevant age range.Each MSOA was assigned a relative score between 1 and 0 (1 = worst, 0 = best) based on:A) the PERCENTAGE of the population within that MSOA who are estimated to have coronary heart diseaseB) the NUMBER of people within that MSOA who are estimated to have coronary heart diseaseAn average of scores A & B was taken, and converted to a relative score between 1 and 0 (1= worst, 0 = best). The closer to 1 the score, the greater both the number and percentage of the population in the MSOA that are estimated to have coronary heart disease, compared to other MSOAs. In other words, those are areas where it’s estimated a large number of people suffer from coronary heart disease, and where those people make up a large percentage of the population, indicating there is a real issue with coronary heart disease within the population and the investment of resources to address that issue could have the greatest benefits.LIMITATIONS1. GP data for the financial year 1st April 2018 – 31st March 2019 was used in preference to data for the financial year 1st April 2019 – 31st March 2020, as the onset of the COVID19 pandemic during the latter year could have affected the reporting of medical statistics by GPs. However, for 53 GPs (out of 7670) that did not submit data in 2018/19, data from 2019/20 was used instead. Note also that some GPs (997 out of 7670) did not submit data in either year. This dataset should be viewed in conjunction with the ‘Health and wellbeing statistics (GP-level, England): Missing data and potential outliers’ dataset, to determine areas where data from 2019/20 was used, where one or more GPs did not submit data in either year, or where there were large discrepancies between the 2018/19 and 2019/20 data (differences in statistics that were > mean +/- 1 St.Dev.), which suggests erroneous data in one of those years (it was not feasible for this study to investigate this further), and thus where data should be interpreted with caution. Note also that there are some rural areas (with little or no population) that do not officially fall into any GP catchment area (although this will not affect the results of this analysis if there are no people living in those areas).2. Although all of the obesity/inactivity-related illnesses listed can be caused or exacerbated by inactivity and obesity, it was not possible to distinguish from the data the cause of the illnesses in patients: obesity and inactivity are highly unlikely to be the cause of all cases of each illness. By combining the data with data relating to levels of obesity and inactivity in adults and children (see the ‘Levels of obesity, inactivity and associated illnesses: Summary (England)’ dataset), we can identify where obesity/inactivity could be a contributing factor, and where interventions to reduce obesity and increase activity could be most beneficial for the health of the local population.3. It was not feasible to incorporate ultra-fine-scale geographic distribution of populations that are registered with each GP practice or who live within each MSOA. Populations might be concentrated in certain areas of a GP practice’s catchment area or MSOA and relatively sparse in other areas. Therefore, the dataset should be used to identify general areas where there are high levels of coronary heart disease, rather than interpreting the boundaries between areas as ‘hard’ boundaries that mark definite divisions between areas with differing levels of coronary heart disease.TO BE VIEWED IN COMBINATION WITH:This dataset should be viewed alongside the following datasets, which highlight areas of missing data and potential outliers in the data:Health and wellbeing statistics (GP-level, England): Missing data and potential outliersLevels of obesity, inactivity and associated illnesses (England): Missing dataDOWNLOADING THIS DATATo access this data on your desktop GIS, download the ‘Levels of obesity, inactivity and associated illnesses: Summary (England)’ dataset.DATA SOURCESThis dataset was produced using:Quality and Outcomes Framework data: Copyright © 2020, Health and Social Care Information Centre. The Health and Social Care Information Centre is a non-departmental body created by statute, also known as NHS Digital.GP Catchment Outlines. Copyright © 2020, Health and Social Care Information Centre. The Health and Social Care Information Centre is a non-departmental body created by statute, also known as NHS Digital. Data was cleaned by Ribble Rivers Trust before use.COPYRIGHT NOTICEThe reproduction of this data must be accompanied by the following statement:© Ribble Rivers Trust 2021. Analysis carried out using data that is: Copyright © 2020, Health and Social Care Information Centre. The Health and Social Care Information Centre is a non-departmental body created by statute, also known as NHS Digital.CaBA HEALTH & WELLBEING EVIDENCE BASEThis dataset forms part of the wider CaBA Health and Wellbeing Evidence Base.

This dataset contains the estimated percentages of patients in the general practitioners (GP) disease registers with cardiovascular disease (hypertension, ischemic heart disease or stroke/transient ischemic attack) by England regions, counties and unitary authorities, and the deprivation level. Comparison to England and region levels are also available in the dataset.

A dataset providing GP recorded coronary heart disease. Coronary heart disease (CHD) is the leading cause of death both in the UK and worldwide. It's responsible for more than 73,000 deaths in the UK each year. About 1 in 6 men and 1 in 10 women die from CHD. In the UK, there are an estimated 2.3 million people living with CHD and around 2 million people affected by angina (the most common symptom of coronary heart disease). CHD generally affects more men than women, although from the age of 50 the chances of developing the condition are similar for both sexes. As well as angina (chest pain), the main symptoms of CHD are heart attacks and heart failure. However, not everyone has the same symptoms and some people may not have any before CHD is diagnosed. CHD is sometimes called ischaemic heart 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. Note: Compendium Mortality Consultation 2022 NHS Digital is currently analysing the results of the consultation that closed on 14 September 2022. In the meantime the next publication is on hold. 6 February 2023 10:55 AM

Legacy unique identifier: P00247

Directly standardised mortality rate from cardiovascular disease for people aged under 75, per 100,000 population. Purpose To ensure that the NHS is held to account for doing all that it can to prevent deaths from cardiovascular disease in people under 75. Current version updated: Feb-17 Next version due: Nov-17

This statistic displays the number of prescriptions used for the prevention and treatment of cardiovascular disease in England in 2023. In that year, there were over 79.3 thousand prescriptions used for lipid-regulating drugs.

This dataset presents the under-75 mortality rate from all cardiovascular diseases in England. It captures the rate of deaths attributed to circulatory diseases (ICD-10 codes I00–I99) among individuals aged under 75, using directly age-standardised rates per 100,000 population. The data is aggregated into quinary age bands and is available for both single years and three-year rolling averages, providing a comprehensive view of premature cardiovascular mortality trends.

Rationale Cardiovascular diseases remain a leading cause of premature mortality in England. Monitoring under-75 mortality rates helps identify health inequalities, assess the effectiveness of public health interventions, and guide resource allocation. This indicator supports efforts to reduce preventable deaths and improve cardiovascular health outcomes.

Numerator The numerator is the number of deaths from all circulatory diseases (ICD-10 codes I00 to I99) registered in the respective calendar years, among individuals aged under 75. These figures are aggregated into quinary age bands (e.g., 0–4, 5–9, ..., 70–74) and sourced from the national Death Register.

Denominator The denominator is the population of individuals aged under 75, also aggregated into quinary age bands. For single-year rates, the population estimate for that year is used. For three-year rolling averages, the denominator is the sum of the populations over the three years. Population data is sourced from the 2021 Census.

Caveats Data may not align exactly with published Office for National Statistics (ONS) figures due to differences in postcode lookup versions and the application of comparability ratios in the Office for Health Improvement and Disparities (OHID) data. Users should consider these factors when comparing with other sources.

External references Further information and related indicators can be found on the OHID Fingertips platform.

Localities ExplainedThis dataset contains data based on either the resident locality or registered locality of the patient, a distinction is made between resident locality and registered locality populations:Resident Locality refers to individuals who live within the defined geographic boundaries of the locality. These boundaries are aligned with official administrative areas such as wards and Lower Layer Super Output Areas (LSOAs).Registered Locality refers to individuals who are registered with GP practices that are assigned to a locality based on the Primary Care Network (PCN) they belong to. These assignments are approximate—PCNs are mapped to a locality based on the location of most of their GP surgeries. As a result, locality-registered patients may live outside the locality, sometimes even in different towns or cities.This distinction is important because some health indicators are only available at GP practice level, without information on where patients actually reside. In such cases, data is attributed to the locality based on GP registration, not residential address.

Click here to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.

CVD-COVID-UK/COVID-IMPACT, co-ordinated by the British Heart Foundation (BHF) Data Science Centre (https://bhfdatasciencecentre.org/), is one of the NIHR-BHF Cardiovascular Partnership’s National Flagship Projects.

CVD-COVID-UK aims to understand the relationship between COVID-19 and cardiovascular diseases through analyses of de-identified, pseudonymised, linked, nationally collated health datasets across the four nations of the UK. COVID-IMPACT is an expansion of this approach in England to address research questions looking at the impact of COVID-19 on other health conditions and their related risk factors. The consortium has over 400 members across more than 50 institutions including data custodians, data scientists and clinicians, all of whom have signed up to an agreed set of principles with an inclusive, open and transparent ethos.

Approved researchers access data within secure Trusted Research Environments or Secure Data Environments (TREs/SDEs) provided by NHS England (England), the National Safe Haven (Scotland), the SAIL Databank (Wales) and the Honest Broker Service (Northern Ireland). A dashboard of datasets available in each nation’s TRE/SDE can be found here: https://bhfdatasciencecentre.org/areas/cvd-covid-uk-covid-impact/

This dataset represents the linked datasets for CVD-COVID-UK/COVID-IMPACT in NHS England’s SDE for England and contains the following datasets: • GPES Data for Pandemic Planning and Research (GDPPR)(COVID-19) • Hospital Episode Statistics Admitted Patient Care (HES APC) • Hospital Episode Statistics Critical Care (HES CC) • Hospital Episode Statistics Outpatients (HES OP) • Hospital Episode Statistics Accident and Emergency (HES A&E) • Secondary Uses Services Payment By Results (SUS) • Uncurated Low Latency Hospital Data (Admitted Patient Care, Outpatients, Critical Care) • Emergency Care Data Set (ECDS) • Covid-19 Second Generation Surveillance System • Covid-19 UK Non-hospital Antigen Testing Results • Covid-19 UK Non-hospital Antibody Testing Results • COVID-19 Vaccination Status • COVID-19 Vaccination Adverse Reaction • Civil Registration of Death • Intensive Care National Audit and Research Centre (ICNARC) • COVID-19 SARI-Watch (formerly CHESS) • Medicines dispensed in Primary Care (NHSBSA data) • Secondary Care Prescribed Medicines (EPMA) • NICOR Myocardial Ischaemia National Audit Project (MINAP) • NICOR Percutaneous Coronary Interventions (PCI) • NICOR National Heart Failure Audit (NHFA) • NICOR National Adult Cardiac Surgery Audit (NACSA) • NICOR National Audit of Cardiac Rhythm Management (NACRM) • NICOR National Congenital Heart Disease Audit (NCHDA) • NICOR Transcatheter Aortic Valve Implantation (TAVI) • Sentinel Stroke National Audit Programme Clinical Dataset (SSNAP) • Improving Access to Psychological Therapies Data Set (IAPT) • Maternity Services Data Set (MSDS • Mental Health Services Data Set (MHSDS)

United Kingdom UK: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data was reported at 10.900 % in 2016. This records a decrease from the previous number of 11.200 % for 2015. United Kingdom UK: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data is updated yearly, averaging 12.200 % from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 16.400 % in 2000 and a record low of 10.900 % in 2016. United Kingdom UK: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s UK – Table UK.World Bank: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted Average;

Annual update of heart disease statistics, including mortality, hospital activity and operations, incidence and prescribing.

Source agency: ISD Scotland (part of NHS National Services Scotland)

Designation: National Statistics

Language: English

Alternative title: Coronary Heart Disease Statistics update