In 2023, there were approximately 750.5 deaths by all causes per 100,000 inhabitants in the United States. This statistic shows the death rate for all causes in the United States between 1950 and 2023. Causes of death in the U.S. Over the past decades, chronic conditions and non-communicable diseases have come to the forefront of health concerns and have contributed to major causes of death all over the globe. In 2022, the leading cause of death in the U.S. was heart disease, followed by cancer. However, the death rates for both heart disease and cancer have decreased in the U.S. over the past two decades. On the other hand, the number of deaths due to Alzheimer’s disease – which is strongly linked to cardiovascular disease- has increased by almost 141 percent between 2000 and 2021. Risk and lifestyle factors Lifestyle factors play a major role in cardiovascular health and the development of various diseases and conditions. Modifiable lifestyle factors that are known to reduce risk of both cancer and cardiovascular disease among people of all ages include smoking cessation, maintaining a healthy diet, and exercising regularly. An estimated two million new cases of cancer in the U.S. are expected in 2025.

In 2023, the number of deaths per 1,000 inhabitants in the United States was ***. Between 1960 and 2023, the figure dropped by ***, though the decline followed an uneven course rather than a steady trajectory.

In 2024, about **** million deaths were reported in the United States. This reflected a slight decrease from the previous year, and an ** percent decrease from the peak of the COVID-19 pandemic in 2020.

Context:

This dataset provides data on death rates for suicide categorized by selected population characteristics including sex, race, Hispanic origin, and age in the United States. It includes critical information about measures, definitions, and changes over time.

Source: - NCHS, National Vital Statistics System (NVSS) - Grove RD, Hetzel AM. Vital statistics rates in the United States, 1940–1960. National Center for Health Statistics. 1968 - Numerator data from NVSS annual public-use Mortality Files - Denominator data from U.S. Census Bureau national population estimates - Murphy SL, Xu JQ, Kochanek KD, Arias E, Tejada-Vera B. Deaths: Final data for 2018. National Vital Statistics Reports; vol 69 no 13. Hyattsville, MD: National Center for Health Statistics. 2021

Source URLs:

Death rates for suicide by sex, race, Hispanic origin, and age: United States - HUS 2019 Data Finder - National Vital Statistics Reports - NVSS Appendix Entry

Dataset Details and Key Features

The dataset consists of data collected from the National Vital Statistics System (NVSS) and the U.S. Census Bureau, providing a comprehensive overview of suicide death rates across different demographics in the United States from 1950 to 2001.

Key Features:

• Historical Coverage: Data spans from 1950 to 2001, providing long-term trends.
• Demographic Breakdown: Includes data by sex, race, Hispanic origin, and age, facilitating targeted analysis.
• Yearly Data: Provides annual death rate estimates, enabling year-over-year comparison.
• Reliable Sources: Data collected from NVSS and U.S. Census Bureau, ensuring accuracy and reliability.

Usage:

Research and Analysis:

• Trend Analysis: Study long-term trends in suicide rates across different demographic groups.
• Impact Assessment: Analyze the impact of socio-economic factors on suicide rates over time.
• Health Disparities: Identify disparities in suicide rates among different demographic segments.

Policy Making:

• Intervention Development: Inform the creation of targeted interventions for high-risk groups.
• Resource Allocation: Aid in the effective allocation of resources to areas with higher suicide rates.
• Policy Evaluation: Evaluate the effectiveness of past policies and programs aimed at reducing suicide rates.

Public Health Initiatives:

• Awareness Campaigns: Develop awareness campaigns tailored to specific demographic groups.
• Prevention Programs: Design and implement suicide prevention programs based on demographic data.
• Community Outreach: Facilitate community outreach efforts by identifying high-risk areas.

Data Maintenance:

Updates:

• Periodic Updates: The dataset is periodically updated to incorporate the latest available data.
• Version Control: Maintains previous versions for reference and longitudinal studies.

Quality Assurance:

• Data Validation: Ensures data accuracy through rigorous validation processes.
• Consistency Checks: Regular consistency checks to maintain data integrity.

Additional Notes:

• For detailed definitions and explanations of measures, refer to the PDF or Excel version of this table in the HUS 2019 Data Finder.
• Numerator data is derived from NVSS annual public-use Mortality Files, while denominator data comes from U.S. Census Bureau national population estimates.
• The dataset also includes historical data, providing context and continuity for contemporary analysis.

Columns:

Graph and download economic data for Infant Mortality Rate for the United States (SPDYNIMRTINUSA) from 1960 to 2023 about mortality, infant, rate, and USA.

Data on county socioeconomic status for 2,132 US counties and each county’s average annual cardiovascular mortality rate (CMR) and total PM2.5 concentration for 21 years (1990-2010). County CMR, PM2.5, and socioeconomic data were obtained from the U.S. National Center for Health Statistics, U.S. Environmental Protection Agency’s Community Multiscale Air Quality modeling system, and the U.S. Census, respectively. A socioeconomic index was created using seven county-level measures from the 1990 US census using factor analysis. Quintiles of this index were used to generate categories of county socioeconomic status. This dataset is associated with the following publication: Wyatt, L., G. Peterson, T. Wade, L. Neas, and A. Rappold. The contribution of improved air quality to reduced cardiovascular mortality: Declines in socioeconomic differences over time. ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam, NETHERLANDS, 136: 105430, (2020).

Graph and download economic data for Premature Death Rate for Albany County, NY (CDC20N2U036001) from 1999 to 2020 about Albany County, NY; Albany; premature; death; NY; rate; and USA.

In the United States in 2021, the death rate was highest among those aged 85 and over, with about 17,190.5 men and 14,914.5 women per 100,000 of the population passing away. For all ages, the death rate was at 1,118.2 per 100,000 of the population for males, and 970.8 per 100,000 of the population for women. The death rate Death rates generally are counted as the number of deaths per 1,000 or 100,000 of the population and include both deaths of natural and unnatural causes. The death rate in the United States had pretty much held steady since 1990 until it started to increase over the last decade, with the highest death rates recorded in recent years. While the birth rate in the United States has been decreasing, it is still currently higher than the death rate. Causes of death There are a myriad number of causes of death in the United States, but the most recent data shows the top three leading causes of death to be heart disease, cancers, and accidents. Heart disease was also the leading cause of death worldwide.

Graph and download economic data for Age-Adjusted Premature Death Rate for Kauai County, HI (CDC20N2UAA015007) from 1999 to 2020 about Kauai County, HI; premature; death; HI; rate; and USA.

The leading causes of death in the United States are heart disease and cancer. However, in 2022, COVID-19 was the fourth leading cause of death in the United States, accounting for around six percent of all deaths that year. In 2022, there were around 45 deaths from COVID-19 per 100,000 population.

Cardiovascular disease

Deaths from cardiovascular disease are more common among men than women but have decreased for both sexes over the past few decades. Coronary heart disease accounts for the highest portion of cardiovascular disease deaths in the United States, followed by stroke and high blood pressure. The states with the highest death rates from cardiovascular disease include Oklahoma, Mississippi, and Alabama. Smoking tobacco, physical inactivity, poor diet, stress, and being overweight or obese are all risk factors for developing heart disease.

Cancer

Although cancer is the second leading cause of death in the United States, like deaths from cardiovascular disease, deaths from cancer have decreased over the last few decades. The highest death rates from cancer come from lung cancer for both men and women. Breast cancer is the second deadliest cancer for women, while prostate cancer is the second deadliest cancer for men. West Virginia, Mississippi, and Kentucky lead the nation with the highest cancer death rates.

Graph and download economic data for Premature Death Rate for Scott County, AR (CDC20N2U005127) from 1999 to 2020 about Scott County, AR; premature; death; AR; rate; and USA.

Graph and download economic data for Premature Death Rate for Routt County, CO (CDC20N2U008107) from 1999 to 2020 about Routt County, CO; premature; death; CO; rate; and USA.

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Graph and download economic data for Premature Death Rate for Danville city, VA (CDC20N2U051590) from 1999 to 2020 about Danville City, VA; Danville; premature; death; VA; rate; and USA.

Graph and download economic data for Age-Adjusted Premature Death Rate for Frederick County, MD (CDC20N2UAA024021) from 1999 to 2020 about Frederick County, MD; premature; death; Washington; MD; rate; and USA.

Graph and download economic data for Premature Death Rate for Humboldt County, CA (CDC20N2U006023) from 1999 to 2020 about Humboldt County, CA; premature; death; CA; rate; and USA.

Graph and download economic data for Premature Death Rate for Hidalgo County, TX (CDC20N2U048215) from 1999 to 2020 about Hidalgo County, TX; Mcallen; premature; death; TX; rate; and USA.

Graph and download economic data for Premature Death Rate for Thomas County, GA (CDC20N2U013275) from 1999 to 2020 about Thomas County, GA; premature; death; GA; rate; and USA.

Graph and download economic data for Age-Adjusted Premature Death Rate for Montgomery County, TN (CDC20N2UAA047125) from 1999 to 2020 about Montgomery County, TN; Clarksville; premature; death; TN; rate; and USA.

Graph and download economic data for Age-Adjusted Premature Death Rate for Menard County, TX (CDC20N2UAA048327) from 1999 to 2010 about Menard County, TX; premature; death; TX; rate; and USA.