In 2022, Delaware had the highest rate of death due to stroke of any U.S. state, with around 57 deaths per 100,000 population. This statistic shows the death rate for stroke in the United States in 2022, by state.

This statistic displays the number of deaths from stroke in England and Wales in 2022, by gender and age. In this year, over 3.8 thousand women aged 85 years and over died of stroke in England and Wales, compared to two thousand men of the same age.

To reduce deaths from stroke.

Strokes, also referred to as Cerebrovascular Disease, was the cause of ** deaths per 100,000 population in the United Kingdom in 2022. Scotland had the highest rate of mortality across the UK, with ** deaths from strokes per 100,000.

In 2021, it was estimated that the Solomon Islands had the highest death rate from stroke worldwide, with around 233 deaths per 100,000 population. In 2021, stroke was one of the leading causes of death worldwide, resulting in almost seven million deaths.

2020 - 2022, county-level U.S. stroke death rates. Dataset developed by the Centers for Disease Control and Prevention, Division for Heart Disease and Stroke Prevention.Create maps of U.S. stroke death rates by county. Data can be stratified by age, race/ethnicity, and sex.Visit the CDC Atlas of Heart Disease and Stroke for additional data and maps. Atlas of Heart Disease and StrokeData SourceMortality data were obtained from the National Vital Statistics System. Bridged-Race Postcensal Population Estimates were obtained from the National Center for Health Statistics. International Classification of Diseases, 10th Revision (ICD-10) codes: I60-I69; underlying cause of death.Data DictionaryData for counties with small populations are not displayed when a reliable rate could not be generated. These counties are represented in the data with values of '-1.' CDC excludes these values when classifying the data on a map, indicating those counties as 'Insufficient Data.'Data field names and descriptionsstcty_fips: state FIPS code + county FIPS codeOther fields use the following format: RRR_S_aaaa (e.g., API_M_35UP)  RRR: 3 digits represent race/ethnicity    All - Overall    AIA - American Indian and Alaska Native, non-Hispanic    ASN - Asian, non-Hispanic    BLK - Black, non-Hispanic    HIS - Hispanic NHP – Native Hawaiian or Other Pacific Islander, non-Hispanic MOR – More than one race, non-Hispanic    WHT - White, non-Hispanic  S: 1 digit represents sex    A - All    F - Female    M - Male  aaaa: 4 digits represent age. The first 2 digits are the lower bound for age and the last 2 digits are the upper bound for age. 'UP' indicates the data includes the maximum age available and 'LT' indicates ages less than the upper bound. Example: The column 'BLK_M_65UP' displays rates per 100,000 black men aged 65 years and older.MethodologyRates are calculated using a 3-year average and are age-standardized in 10-year age groups using the 2000 U.S. Standard Population. Rates are calculated and displayed per 100,000 population. Rates were spatially smoothed using a Local Empirical Bayes algorithm to stabilize risk by borrowing information from neighboring geographic areas, making estimates more statistically robust and stable for counties with small populations. Data for counties with small populations are coded as '-1' when a reliable rate could not be generated. County-level rates were generated when the following criteria were met over a 3-year time period within each of the filters (e.g., age, race, and sex).At least one of the following 3 criteria:At least 20 events occurred within the county and its adjacent neighbors.ORAt least 16 events occurred within the county.ORAt least 5,000 population years within the county.AND all 3 of the following criteria:At least 6 population years for each age group used for age adjustment if that age group had 1 or more event.The number of population years in an age group was greater than the number of events.At least 100 population years within the county.More Questions?Interactive Atlas of Heart Disease and StrokeData SourcesStatistical Methods

In 2022, there were around ** stroke deaths reported per 100,000 Black women in the West of the United States aged 45 to 64 years. This was the highest stroke death rate for women in this age group among all regions and races/ethnicities that year. Furthermore, the stroke death rate was significantly higher among Black women compared to any other races/ethnicities across all regions.

2019 to 2021, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html

Strokes, also referred to as Cerebrovascular Disease, was the cause of 51 deaths per 100,000 population in the United Kingdom in 2022. Since the beginning of the provided time interval, the year 2000, the mortality rate from strokes has more than halved in the UK.

Create maps of U.S. stroke death rates by county. Data can be stratified by age, race/ethnicity, and sex. Visit the CDC/DHDSP Atlas of Heart Disease and Stroke for additional data and maps. Atlas of Heart Disease and StrokeData SourceMortality data were obtained from the National Vital Statistics System. Bridged-Race Postcensal Population Estimates were obtained from the National Center for Health Statistics. International Classification of Diseases, 10th Revision (ICD-10) codes: I60-I69; underlying cause of death.Data DictionaryData for counties with small populations are not displayed when a reliable rate could not be generated. These counties are represented in the data with values of '-1.' CDC/DHDSP excludes these values when classifying the data on a map, indicating those counties as 'Insufficient Data.' Data field names and descriptionsstcty_fips: state FIPS code + county FIPS codeOther fields use the following format: RRR_S_aaaa (e.g., API_M_35UP)   RRR: 3 digits represent race/ethnicity     All - Overall     AIA - American Indian and Alaska Native, non-Hispanic     API - Asian and Pacific Islander, non-Hispanic     BLK - Black, non-Hispanic     HIS - Hispanic     WHT - White, non-Hispanic   S: 1 digit represents sex     A - All    F - Female     M - Male  aaaa: 4 digits represent age. The first 2 digits are the lower bound for age and the last 2 digits are the upper bound for age. 'UP' indicates the data includes the maximum age available and 'LT' indicates ages less than the upper bound.  Example: The column 'BLK_M_65UP' displays rates per 100,000 black men aged 65 years and older.MethodologyRates are calculated using a 3-year average and are age-standardized in 10-year age groups using the 2000 U.S. Standard Population. Rates are calculated and displayed per 100,000 population. Rates were spatially smoothed using a Local Empirical Bayes algorithm to stabilize risk by borrowing information from neighboring geographic areas, making estimates more statistically robust and stable for counties with small populations. Data for counties with small populations are coded as '-1' when a reliable rate could not be generated. County-level rates were generated when the following criteria were met over a 3-year time period within each of the filters (e.g., age, race, and sex).At least one of the following 3 criteria: At least 20 events occurred within the county and its adjacent neighbors.ORAt least 16 events occurred within the county.ORAt least 5,000 population years within the county.AND all 3 of the following criteria:At least 6 population years for each age group used for age adjustment if that age group had 1 or more event.The number of population years in an age group was greater than the number of events.At least 100 population years within the county.More Questions?Interactive Atlas of Heart Disease and StrokeData SourcesStatistical Methods

This dataset documents rates and trends in heart disease and stroke mortality. Specifically, this report presents county (or county equivalent) estimates of heart disease and stroke death rates in 2000-2019 and trends during two intervals (2000-2010, 2010-2019) by age group (ages 35–64 years, ages 65 years and older), race/ethnicity (non-Hispanic American Indian/Alaska Native, non-Hispanic Asian/Pacific Islander, non-Hispanic Black, Hispanic, non-Hispanic White), and sex (women, men). The rates and trends were estimated using a Bayesian spatiotemporal model and a smoothed over space, time, and demographic group. Rates are age-standardized in 10-year age groups using the 2010 US population. Data source: National Vital Statistics System.

To reduce deaths from stroke.

In 2022, there were nearly ** stroke deaths reported per 100,000 Black men in the South of the United States aged 45 to 64 years. This was the highest stroke death rate reported among men in all regions and among all races/ethnicities that year. Furthermore, the stroke death rate in every region was significantly higher among Black men compared to any other races/ethnicities.

As of 2021, there were **** deaths per 100 hospital admissions for stroke among those aged 45 years and older in Latvia. The statistic shows the thirty-day mortality after admission to hospital for ischaemic stroke in selected OECD countries as of 2021, per 100 admissions among adults aged 45 years and older.

Analysis of ‘Stroke Deaths 30 days hospital admission.’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/mpwolke/cusersmarildownloadsstrokecsv on 14 February 2022.

--- Dataset description provided by original source is as follows ---

Context

Deaths occurring in hospital and after discharge between 0 and 29 days (inclusive) of an emergency admission to hospital with a stroke. This indicator is available for males, females and persons at the following breakdowns: England/Region of residence/Local authority of residence/County of residence/London authority of residence/Provider

https://digital.nhs.uk/data-and-information/publications/clinical-indicators/compendium-of-population-health-indicators/compendium-hospital-care/current/deaths-within-30-days/deaths-within-30-days-of-emergency-admission-to-hospital-stroke-indirectly-standardised-rate-all-ages-annual-trend-f-m-p#

General Enquiries: enquiries@nhsdigital.nhs.uk

Freedom of Information (FOI) requests : FOI Enquiries enquiries@nhsdigital.nhs.uk https://digital.nhs.uk/about-nhs-digital/contact-us/freedom-of-information

Content

Some people with stroke die before they can be admitted to hospital. There are variations in death rates among those who survive long enough to be admitted, and some of these deaths may potentially be preventable. The National Service Framework for older people cites evidence that people who have strokes are more likely to survive if admitted promptly to a hospital-based stroke unit with treatment and care provided by a specialist coordinated stroke team within an integrated service. The National Health Service (NHS) may be helped to prevent some of these deaths by seeing comparative figures and learning lessons from follow-up investigations.

Legacy unique identifier: P02167

Acknowledgements

digital.nhs.uk

Photo by K. Mitch Hodge on Unsplash

Inspiration

Stroke cases among Covid-19 patients outside the risk group that puzzle American doctors. Studies attempt to unravel the relationship between strokes and younger people infected with coronavirus

--- Original source retains full ownership of the source dataset ---

This dataset contains risk-adjusted 30-day mortality and 30-day readmission rates, quality ratings, and number of deaths / readmissions and cases for ischemic stroke treated in California hospitals. This dataset does not include ischemic stroke treated in outpatient settings.

2014 to 2016, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html

2015 to 2017, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke. http://www.cdc.gov/dhdsp/maps/atlas

This statistic displays the number of deaths due to stroke in Ireland from 2006 to 2021. In 2021, strokes caused the deaths of ***** people in Ireland.

Rate: Age-adjusted death rate, number of deaths due to stroke, per 100,000 population.

Definition: Rate of deaths with cerebrovascular disease (stroke) as the underlying cause (ICD-10 codes: I60-I69).

Data Sources:

(1) Death Certificate Database, Office of Vital Statistics and Registry, New Jersey Department of Health

(2) Population Estimates, State Data Center, New Jersey Department of Labor and Workforce Development.