In 2023, the most significant cause of death among Asians was cancer, which contributed to **** percent of deaths. In 2020 and 2021, COVID-19 was the ***** leading cause of death among Asians. This statistic shows the distribution of the 10 leading causes of death among Asians in the United States from 2020 to 2023.

BackgroundOur current understanding of Asian American mortality patterns has been distorted by the historical aggregation of diverse Asian subgroups on death certificates, masking important differences in the leading causes of death across subgroups. In this analysis, we aim to fill an important knowledge gap in Asian American health by reporting leading causes of mortality by disaggregated Asian American subgroups.Methods and FindingsWe examined national mortality records for the six largest Asian subgroups (Asian Indian, Chinese, Filipino, Japanese, Korean, Vietnamese) and non-Hispanic Whites (NHWs) from 2003-2011, and ranked the leading causes of death. We calculated all-cause and cause-specific age-adjusted rates, temporal trends with annual percent changes, and rate ratios by race/ethnicity and sex. Rankings revealed that as an aggregated group, cancer was the leading cause of death for Asian Americans. When disaggregated, there was notable heterogeneity. Among women, cancer was the leading cause of death for every group except Asian Indians. In men, cancer was the leading cause of death among Chinese, Korean, and Vietnamese men, while heart disease was the leading cause of death among Asian Indians, Filipino and Japanese men. The proportion of death due to heart disease for Asian Indian males was nearly double that of cancer (31% vs. 18%). Temporal trends showed increased mortality of cancer and diabetes in Asian Indians and Vietnamese; increased stroke mortality in Asian Indians; increased suicide mortality in Koreans; and increased mortality from Alzheimer’s disease for all racial/ethnic groups from 2003-2011. All-cause rate ratios revealed that overall mortality is lower in Asian Americans compared to NHWs.ConclusionsOur findings show heterogeneity in the leading causes of death among Asian American subgroups. Additional research should focus on culturally competent and cost-effective approaches to prevent and treat specific diseases among these growing diverse populations.

Leading causes of death by race (% of total deaths), in ranked order.

BackgroundDisaggregated data is a cornerstone of precision health. Vietnamese Americans (VietAms) are the fourth-largest Asian subgroup in the United States (US), and demonstrate a unique burden of disease and mortality. However, most prior studies have aggregated VietAms under the broader Asian American category for analytic purposes. This study examined the leading causes of death among VietAms compared to aggregated Asian Americans and non-Hispanic Whites (NHWs) during the period 2005–2020.MethodsDecedent data, including underlying cause of death, were obtained from the National Center for Health Statistics national mortality file from 2005 to 2020. Population denominator estimates were obtained from the American Community Survey one-year population estimates. Outcome measures included proportional mortality, age-adjusted mortality rates per 100,000 (AMR), and annual percent change (APC) in mortality over time. Data were stratified by sex and nativity status. Due to large differences in age structure, we report native- and foreign-born VietAms separately.FindingsWe identified 74,524 VietAm decedents over the study period (71,305 foreign-born, 3,219 native-born). Among foreign-born VietAms, the three leading causes of death were cancer (26.6%), heart disease (18.0%), and cerebrovascular disease (9.0%). Among native-born VietAms the three leading causes were accidents (19.0%), self-harm (12.0%), and cancer (10.4%). For every leading cause of death, VietAms exhibited lower mortality compared to both aggregated Asians and NHWs. Over the course of the study period, VietAms witnessed an increase in mortality in every leading cause. This effect was mostly driven by foreign-born, male VietAms.Conclusions and relevanceWhile VietAms have lower overall mortality from leading causes of death compared to aggregated Asians and NHWs, these advantages have eroded markedly between 2005 and 2020. These data emphasize the importance of racial disaggregation in the reporting of public health measures.

According to the NCHS classification, the leading causes of death are provided for the total Santa Clara County population and by race/ethnicity and sex. Data are for Santa Clara County residents.Data trends are from year 2007 to 2016. Source: Santa Clara County Public Health Department, VRBIS, 2007-2016. Data as of 05/26/2017.METADATA:Notes (String): Lists table title, sourceYear (Numeric): Year of death Category (String): Lists the category representing the data: Santa Clara County is for total population, sex: Male and Female, and race/ethnicity: African American, Asian/Pacific Islander, Latino and White (non-Hispanic White only).Causes of death (String): Cause-of-death were coded using the Tenth Revision of the International Classification of Diseases codes (ICD-10). Causes are classified according to the Centers for Disease Control and Prevention, National Center for Health Statistics, Leading causes of death methodology.Count (Numeric): Number of deaths per cause of deathPercentage (Numeric): Percentage of deaths per cause of death out of total deaths in that year. Percentage value less than 1 is replaced by '<1'.

Age-adjusted mortality rate per 100,000 person-years (95% CI).

This table contains data on the annual number of fatal and severe road traffic injuries per population and per miles traveled by transport mode, for California, its regions, counties, county divisions, cities/towns, and census tracts. Injury data is from the Statewide Integrated Traffic Records System (SWITRS), California Highway Patrol (CHP), 2002-2010 data from the Transportation Injury Mapping System (TIMS) . The table is part of a series of indicators in the [Healthy Communities Data and Indicators Project of the Office of Health Equity]. Transportation accidents are the second leading cause of death in California for people under the age of 45 and account for an average of 4,018 deaths per year (2006-2010). Risks of injury in traffic collisions are greatest for motorcyclists, pedestrians, and bicyclists and lowest for bus and rail passengers. Minority communities bear a disproportionate share of pedestrian-car fatalities; Native American male pedestrians experience 4 times the death rate as Whites or Asians, and African-Americans and Latinos experience twice the rate as Whites or Asians. More information about the data table and a data dictionary can be found in the About/Attachments section.

The Korean War was an international military conflict which lasted from June 1950 until July 1953, which pitted the communist forces of North Korea, the Soviet Union, and the People's Republic of China against South Korea and a U.S.-led UN force comprised of troops from over 20 additional countries. The war was the United States' first major military engagement of the Cold War, the period of rivalry and heightened tension between the world's two superpowers, the U.S. and Soviet Union. While the war was one of the deadliest in the Cold War and the 20th century in general, it resulted in a stalemate between the North and South, with the boundary between the two countries remaining to this day at the 38th parallel line. The two countries remain technically at war to the present day, as the South's dictator, Syngman Rhee, refused to sign the peace agreement which in practice ended the fighting in the war.

U.S. military deaths in Korea

The majority of U.S. military fatalities during the Korean War were battle deaths (63 percent), with a smaller number of deaths while missing (12 percent), deaths while captured (eight percent), or deaths from battle wounds (seven percent). In addition, around three percent of deaths were from airplane crashes which were not caused by hostile forces, with another seven percent dying of other causes unrelated to battle. In total around 36,000 U.S. military servicemembers were killed in Korea, out of a total of around 40,000 deaths for the UN forces combined. The war was the United States' second deadliest conflict of the Cold War, as well as its fifth deadliest ever, after the Vietnam War, World War I, World War II, and the Civil War.

In 2023, Black adults had the highest obesity rates of any race or ethnicity in the United States, followed by American Indians/Alaska Natives and Hispanics. As of that time, around ** percent of all Black adults were obese. Asians/Pacific Islanders had by far the lowest obesity rates. Obesity in the United States Obesity is a present and growing problem in the United States. An astonishing ** percent of the adult population in the U.S. is now considered obese. Obesity rates can vary substantially by state, with around ** percent of the adult population in West Virginia reportedly obese, compared to ** percent of adults in Colorado. The states with the highest rates of obesity include West Virginia, Mississippi, and Arkansas. Diabetes Being overweight and obese can lead to a number of health problems, including heart disease, cancer, and diabetes. Being overweight or obese is one of the most common causes of type 2 diabetes, a condition in which the body does not use insulin properly, causing blood sugar levels to rise. It is estimated that just over ***** percent of adults in the U.S. have been diagnosed with diabetes. Diabetes is now the seventh leading cause of death in the United States, accounting for ***** percent of all deaths.

Road Traffic Injuries in California

Pedestrian Fatalities and Injury Rates By Transport Mode, 2002-2010

By Health [source]

About this dataset

This table contains data on the number of annual fatal and severe road traffic injuries per population and per miles traveled by transport mode, for the state of California and its various regions, counties, county divisions, cities/towns, and census tracts. Road traffic injury is an important public health issue in California; it ranks second among leading causes of death for people under 45 in the state with an average of 4,018 fatalities per year (2006-2010). In addition to this terrible statistic are also elevated risks for certain population subgroups; Native American male pedestrians experience 4 times the death rate as Whites or Asians while African-Americans and Latinos experience twice the death rate as Whites or Asians.

This dataset has been generated through a combination of datasets--SWITRS (Statewide Integrated Traffic Records System), CHP (California Highway Patrol), 2002-2010 data from TIMS (Transportation Injury Mapping System)--and presents itself as part of a healthy community indicators project from the Office of Health Equity. By looking at this data users can learn about which communities are bearing a disproportionate share in terms of pedestrian/car fatalities due to road traffic injuries without taking into account additional factors such as socioeconomic status or gender. Through understanding these statistics more accurately we can begin to take steps towards promoting safe transportation practices across all communities

More Datasets

For more datasets, click here.

Featured Notebooks

• 🚨 Your notebook can be here! 🚨!

How to use the dataset

Welcome to the Road Traffic Injury dataset! This dataset contains information on the annual number of fatal and severe road traffic injuries per population and per miles traveled by transport mode in California from 2002-2010. We hope that this data will be useful to you in understanding trends, evaluating safety policies, and tracking changes in transportation safety over time.

In this guide, we’ll provide an overview of the dataset so you can start making use of it. We’ll cover what each column means and how you can use them for further analysis and exploration.

The columns in this dataset include detailed information about each road traffic injury event: - ind_definition: Definition of the indicator – i.e., whether it is a rate (per population) or a risk ratio (relative to some reference group).
- reportyear: Year of the report; - race_eth_code/name: Race/ethnicity code and name provided;
- geotype/value/name: Type of geographic area included as well as its corresponding value or name; - county_fips/name: FIPS code for counties, as well as their corresponding names;

• region_code/name: Region codes with accompanying region names provided respectively;

• mode: Mode of transportation associated with these events (motorcycles, pedestrians, buses & rail passengers);

• severity : Severity level (fatal or severe);

• • 11): Number of injuries occurring within that time period within each race ethinic category (injuries, totalpop [its total population], poprate [the rate by which there are injuries happening]) ;

12)- 15): Confidence Intervals associated with 95% Lower & Upper Limits (LL 95CI [Lower than 95% range] & UL95CI [Upper than 95% range]) by population rates (poprate) & miles traveled rates (avmtrate)

16): Standard Error Rates calculated by both Population Rate(poprate) & Miles Traveled Rate(amtrate) ; 19), 20), 23)}: Relative Risk Ration Rates providing values compared bottom line across geographic regions respectively {Population Rate(CA RR poprate), Miles Traveled Rate()) ; 21), 22}, 24), 25 => Decile Rankings arranging breakdowns from 1-10 into 10 respective categories calculations

Research Ideas

• The dataset can be used to develop maps that show impact of traffic injuries in different areas by race, geotype and mode.
• It can be used to measure the performance of safety improvement interventions by comparing changes in injury rates at certain county or cities before and after safety tactics have been implemented.
• It could also be used to study the effects of individual driving behaviors on collision related injury rates by analyzing data from counties with disparate levels of enforcement

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

&g...

In 2023, around 72,776 people in the United States died from a drug overdose that involved fentanyl. This was the second-highest number of fentanyl overdose deaths ever recorded in the United States, and a significant increase from the number of deaths reported in 2019. Fentanyl overdoses are now the driving force behind the opioid epidemic, accounting for the majority of overdose deaths in the United States. What is fentanyl? Fentanyl is an extremely potent synthetic opioid similar to morphine, but more powerful. It is a prescription drug but is also manufactured illegally and is sometimes mixed with other illicit drugs such as heroin and cocaine, often without the user’s knowledge. The potency of fentanyl makes it very addictive and puts users at a high risk for overdose. Illegally manufactured fentanyl has become more prevalent in the United States in recent years, leading to a huge increase in drug overdose deaths. In 2022, the rate of drug overdose death involving fentanyl was 22.7 per 100,000 population, compared to a rate of just one per 100,000 population in the year 2013. Fentanyl overdoses by gender and race/ethnicity As of 2022, the rate of drug overdose deaths involving fentanyl in the United States is over two times higher among men than women. Rates of overdose death involving fentanyl were low for both men and women until around the year 2014 when they began to quickly increase, especially for men. In 2022, there were around 19,880 drug overdose deaths among women that involved fentanyl compared to 53,958 such deaths among men. At that time, the rate of fentanyl overdose deaths was highest among non-Hispanic American Indian or Alaska Natives and lowest among non-Hispanic Asians. However, from the years 2014 to 2018, non-Hispanic whites had the highest fentanyl overdose death rates.

Estimates for the total death count of the Second World War generally range somewhere between 70 and 85 million people. The Soviet Union suffered the highest number of fatalities of any single nation, with estimates mostly falling between 22 and 27 million deaths. China then suffered the second greatest, at around 20 million, although these figures are less certain and often overlap with the Chinese Civil War. Over 80 percent of all deaths were of those from Allied countries, and the majority of these were civilians. In contrast, 15 to 20 percent were among the Axis powers, and the majority of these were military deaths, as shown in the death ratios of Germany and Japan. Civilian deaths and atrocities It is believed that 60 to 67 percent of all deaths were civilian fatalities, largely resulting from war-related famine or disease, and war crimes or atrocities. Systematic genocide, extermination campaigns, and forced labor, particularly by the Germans, Japanese, and Soviets, led to the deaths of millions. In this regard, Nazi activities alone resulted in 17 million deaths, including six million Jews in what is now known as The Holocaust. Not only was the scale of the conflict larger than any that had come before, but the nature of and reasoning behind this loss make the Second World War stand out as one of the most devastating and cruelest conflicts in history. Problems with these statistics Although the war is considered by many to be the defining event of the 20th century, exact figures for death tolls have proven impossible to determine, for a variety of reasons. Countries such as the U.S. have fairly consistent estimates due to preserved military records and comparatively few civilian casualties, although figures still vary by source. For most of Europe, records are less accurate. Border fluctuations and the upheaval of the interwar period mean that pre-war records were already poor or non-existent for many regions. The rapid and chaotic nature of the war then meant that deaths could not be accurately recorded at the time, and mass displacement or forced relocation resulted in the deaths of many civilians outside of their homeland, which makes country-specific figures more difficult to find. Early estimates of the war’s fatalities were also taken at face value and formed the basis of many historical works; these were often very inaccurate, but the validity of the source means that the figures continue to be cited today, despite contrary evidence.

In comparison to Europe, estimate ranges are often greater across Asia, where populations were larger but pre-war data was in short supply. Many of the Asian countries with high death tolls were European colonies, and the actions of authorities in the metropoles, such as the diversion of resources from Asia to Europe, led to millions of deaths through famine and disease. Additionally, over one million African soldiers were drafted into Europe’s armies during the war, yet individual statistics are unavailable for most of these colonies or successor states (notably Algeria and Libya). Thousands of Asian and African military deaths went unrecorded or are included with European or Japanese figures, and there are no reliable figures for deaths of millions from countries across North Africa or East Asia. Additionally, many concentration camp records were destroyed, and such records in Africa and Asia were even sparser than in Europe. While the Second World War is one of the most studied academic topics of the past century, it is unlikely that we will ever have a clear number for the lives lost in the conflict.

As of March 10, 2023, there have been 1.1 million deaths related to COVID-19 in the United States. There have been 101,159 deaths in the state of California, more than any other state in the country – California is also the state with the highest number of COVID-19 cases.

The vaccine rollout in the U.S. Since the start of the pandemic, the world has eagerly awaited the arrival of a safe and effective COVID-19 vaccine. In the United States, the immunization campaign started in mid-December 2020 following the approval of a vaccine jointly developed by Pfizer and BioNTech. As of March 22, 2023, the number of COVID-19 vaccine doses administered in the U.S. had reached roughly 673 million. The states with the highest number of vaccines administered are California, Texas, and New York.

Vaccines achieved due to work of research groups Chinese authorities initially shared the genetic sequence to the novel coronavirus in January 2020, allowing research groups to start studying how it invades human cells. The surface of the virus is covered with spike proteins, which enable it to bind to human cells. Once attached, the virus can enter the cells and start to make people ill. These spikes were of particular interest to vaccine manufacturers because they hold the key to preventing viral entry.