This is a source dataset for a Let's Get Healthy California indicator at https://letsgethealthy.ca.gov/: Deaths by suicide per 100,000 population. Data have been aggregated from statistical datasets compiled from California death records.

Monthly COVID-19 death rates per 100,000 population stratified by age group, race/ethnicity, sex, and region, with race/ethnicity by age group and age group by race/ethnicity double stratification

About 228,200 Americans had a license to operate a motor vehicle in the United States in 2020. That year, an estimated 36,680 people died on U.S. roads. Traffic-related fatalities per 100,000 licensed drivers stood at 17.01 in 2020.

Road safety rankings
The United States has among the highest rates of road fatalities per population worldwide. Possible contributing factors to deaths on the road can include speeding, not wearing a seatbelt, driving while under the influence of drugs or alcohol, and driving while fatigued. Traffic fatalities caused by speeding in the United States have declined since 2008, with less than 10,000 deaths recorded annually over recent years.

Automation for the nation
94 percent of severe automobile crashes are due to human error — but driving safety is taken much more seriously today than in the past, with roughly 90 percent of U.S. drivers wearing their seatbelts while driving in 2020. Over recent years, car manufacturers and developers have striven to reduce car crashes even further with partially and fully automated safety features such as forward collision warnings, lane departure warnings, rearview video systems, and automatic emergency braking. Self-driving vehicles are also set to take to the roads in the future, with car brands such as Toyota, Ford, and GM registering over 350 autonomous driving patents respectively in the United States.

In 2022, the mortality rate due to Alzheimer's disease was 36 deaths per 100,000 people. This statistic displays the annual Alzheimer's disease mortality rate in the United States from 2000 to 2022. Scientists believe that early detection of Alzheimer's can be the best way to prevent or slow the course of the disease. Alzheimer’s disease Alzheimer’s disease, a progressive and incurable brain disease, is among the top ten leading causes of death in the U.S. as well as worldwide. Furthermore, over the past two decades, the number of deaths due to Alzheimer’s and other dementias in the United States increased by over 140 percent. As with other dementias, Alzheimer’s commonly affects older individuals, although it can be diagnosed earlier on in life. In the United States, the majority of people with Alzheimer’s disease are over 75 years of age. Initial symptoms include difficulties in memory and mood changes, but the disease gradually progresses to impair communication and judgment, behavioral changes, and deficits in movement and motor skills, such as difficulties with swallowing, which often becomes a contributing cause of death. Care and treatment The cost of care for individuals with Alzheimer’s is expected to increase over the next couple of decades, with costs to Medicare and Medicaid expected to reach 637 billion U.S. dollars by 2050. Due to the increasing burden of Alzheimer’s and other dementias on healthcare and social systems, research into treatment and prevention is a major focus. Several major pharmaceutical companies currently have multiple drugs for Alzheimer’s treatment in various stages of development; other research is focused on identifying early brain changes associated with the disease in order to provide early diagnosis and intervention. Furthermore, personal health strategies include reducing modifiable risk factors commonly associated with cardiovascular health, such as quitting smoking, maintaining a healthy diet, and staying socially, mentally, and physically active.

North Korea had the world's highest death rate from air pollution in 2021, at *** per 100,000 inhabitants. This was roughly ***** times higher than the global average, and more than ** times higher than the death rate in Finland. High-income countries typically have lower deaths rates from air pollution than those in developing regions. This is especially the case when looking at death rates among children from air pollution.

Number of deaths and age-specific mortality rates for selected grouped causes, by age group and sex, 2000 to most recent year.

Actual value and historical data chart for Norway Tuberculosis Death Rate Per 100000 People

Dataset

This dataset was created by Alexander Tesemnikov

Released under Other (specified in description)

Contents

MORTALITY OF POPULATION BY MAIN CAUSES OF DEATH

Mexico MX: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data was reported at 1.100 Ratio in 2016. Mexico MX: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data is updated yearly, averaging 1.100 Ratio from Dec 2016 (Median) to 2016, with 1 observations. Mexico MX: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: Health Statistics. Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene is deaths attributable to unsafe water, sanitation and hygiene focusing on inadequate WASH services per 100,000 population. Death rates are calculated by dividing the number of deaths by the total population. In this estimate, only the impact of diarrhoeal diseases, intestinal nematode infections, and protein-energy malnutrition are taken into account.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;

Actual value and historical data chart for United Kingdom Tuberculosis Death Rate Per 100000 People

The average for 2019 based on 180 countries was 17.05 deaths per 100,000 people. The highest value was in Dominican Republic: 64.6 deaths per 100,000 people and the lowest value was in Antigua and Barbuda: 0 deaths per 100,000 people. The indicator is available from 2000 to 2019. Below is a chart for all countries where data are available.

Understanding Global Excess Deaths During the COVID-19 Pandemic: Insights from The Economist Data

The COVID-19 pandemic has left an indelible mark on societies worldwide, not only through its direct impact on health but also through its ripple effects on various aspects of life. As we strive to comprehend the full extent of its toll, one crucial metric that emerges is excess deaths – a measure encompassing not only confirmed COVID-19 fatalities but also those indirectly caused by the pandemic. In this discourse, we delve into the comprehensive dataset provided by The Economist and processed by Our World in Data, shedding light on the central estimates and uncertainty intervals of global excess deaths.

The dataset, meticulously compiled and analyzed by The Economist, serves as a cornerstone for understanding the broader implications of the pandemic beyond official death counts. This invaluable resource, available for public scrutiny and further research, offers insights into the nuanced dynamics of excess mortality across different regions and timeframes.

Central to our exploration are the central estimates provided by The Economist, representing the best approximation of excess deaths attributable to the pandemic. These figures, derived through rigorous statistical methodologies, provide a foundational understanding of the pandemic's impact on mortality rates globally. By accounting for excess deaths beyond what would typically be expected, these estimates paint a clearer picture of the true toll of COVID-19.

Accompanying these central estimates are uncertainty intervals, reflecting the range within which the true value of excess deaths is likely to fall. As with any statistical analysis, uncertainties abound, stemming from various factors such as data collection methods, reporting inconsistencies, and the inherent complexity of modeling excess mortality. Acknowledging these uncertainties is paramount in interpreting the data accurately and avoiding overgeneralizations or misinterpretations.

Delving deeper into the dataset, it becomes evident that the magnitude of excess deaths varies significantly across different regions and time periods. Factors such as healthcare infrastructure, socio-economic disparities, and the stringency of public health measures exert profound influences on mortality outcomes. By dissecting these variations, policymakers and public health experts can glean invaluable insights to inform targeted interventions and mitigate future crises.

Moreover, the dataset underscores the interconnectedness of global health, highlighting how the impact of the pandemic transcends geographical boundaries. As nations grapple with containing the spread of the virus within their borders, the ripple effects of excess mortality reverberate across the international community. This interconnectedness underscores the importance of collective action and solidarity in addressing not only the immediate challenges posed by the pandemic but also the long-term ramifications on global health security.

It is essential to note that behind every data point lies a human story – a life lost, a family shattered, a community grieving. Amidst the statistical analyses and epidemiological models, it is imperative not to lose sight of the human dimension of the pandemic. Each excess death represents more than just a number; it embodies a profound loss and underscores the urgency of concerted efforts to prevent further tragedies.

In conclusion, the dataset provided by The Economist and processed by Our World in Data offers a comprehensive lens through which to understand the complexities of excess mortality during the COVID-19 pandemic. By interrogating the central estimates and uncertainty intervals, we gain critical insights into the multifaceted dimensions of the pandemic's impact on global mortality rates. Moving forward, leveraging these insights to inform evidence-based policies and interventions is paramount in mitigating the ongoing crisis and building resilient health systems for the future.

Actual value and historical data chart for Peru Tuberculosis Death Rate Per 100000 People

United Kingdom UK: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data was reported at 0.200 Ratio in 2016. United Kingdom UK: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data is updated yearly, averaging 0.200 Ratio from Dec 2016 (Median) to 2016, with 1 observations. United Kingdom UK: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population 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 rate attributed to unsafe water, unsafe sanitation and lack of hygiene is deaths attributable to unsafe water, sanitation and hygiene focusing on inadequate WASH services per 100,000 population. Death rates are calculated by dividing the number of deaths by the total population. In this estimate, only the impact of diarrhoeal diseases, intestinal nematode infections, and protein-energy malnutrition are taken into account.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;

France FR: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data was reported at 0.300 Ratio in 2016. This records a decrease from the previous number of 0.400 Ratio for 2015. France FR: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data is updated yearly, averaging 0.400 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 0.500 Ratio in 2000 and a record low of 0.300 Ratio in 2016. France FR: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s France – Table FR.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of male deaths from unintentional poisonings in a year per 100,000 male population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;

FOR SINGLE DATA YEARS: Death rates are calculated based on the resident population of the data year involved. For census years, April 1 census counts are used (e.g. 2010). For postcensal years, July 1 estimates from the postcensal Vintage that matches the data year are used (e.g. July 1, 2011 resident population estimates from Vintage 2011 are used as the denominator for 2011rates). For intercensal years, intercensal population estimates are used in rate calculations (e.g. 1991-1999, 2001-2009). Race-specific population estimates for 1991 and later use bridged-race categories.

As of July 8, 2020, the total number of coronavirus (COVID-19) cases reached nearly 242 thousand, while the number of deaths stood at approximately 35 thousand. This means that the infection rate per 100 thousand population was 400.4, while the death rate per 100 thousand population was 57.7. Both figures were among the highest recorded worldwide. In fact, Italy was one of the worst hit countries by the pandemic.

Chad TD: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data was reported at 101.000 Ratio in 2016. Chad TD: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data is updated yearly, averaging 101.000 Ratio from Dec 2016 (Median) to 2016, with 1 observations. Chad TD: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.World Bank: Health Statistics. Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene is deaths attributable to unsafe water, sanitation and hygiene focusing on inadequate WASH services per 100,000 population. Death rates are calculated by dividing the number of deaths by the total population. In this estimate, only the impact of diarrhoeal diseases, intestinal nematode infections, and protein-energy malnutrition are taken into account.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;

FOR SINGLE DATA YEARS: Death rates are calculated based on the resident population of the data year involved. For census years, April 1 census counts are used (e.g. 2010). For postcensal years, July 1 estimates from the postcensal Vintage that matches the data year are used (e.g. July 1, 2011 resident population estimates from Vintage 2011 are used as the denominator for 2011rates). For intercensal years, intercensal population estimates are used in rate calculations (e.g. 1991-1999, 2001-2009). Race-specific population estimates for 1991 and later use bridged-race categories.

Australia: Traffic accident deaths per 100,000 people: The latest value from 2019 is 4.9 deaths per 100,000 people, an increase from 4.8 deaths per 100,000 people in 2018. In comparison, the world average is 17.05 deaths per 100,000 people, based on data from 180 countries. Historically, the average for Australia from 2000 to 2019 is 6.9 deaths per 100,000 people. The minimum value, 4.8 deaths per 100,000 people, was reached in 2018 while the maximum of 9.9 deaths per 100,000 people was recorded in 2000.