The graph displays the number of deaths per year in the United States from 1950 to 2025. The x-axis represents the years, abbreviated from '50 to '25, while the y-axis indicates the annual number of deaths. Over this 75-year period, the number of deaths ranges from a low of 1,479,684 in 1950 to a high of 3,492,879 in 2021. Notable figures include 2,430,923 deaths in 2001 and 3,090,000 projected deaths in 2024. The data exhibits a general upward trend in annual deaths over the decades, with significant increases in recent years. This information is presented in a line graph format, effectively highlighting the long-term trends and yearly variations in deaths across the United States.

In 2024, the number of deaths due to flooding in the United States amounted to *** fatalities. More than half of these deaths occurred in September. Already, ** flood-related fatalities have been reported in the U.S. in 2025, as of April.

The graph illustrates the number of deaths per day in the United States from 1950 to 2025. The x-axis represents the years, abbreviated from '50 to '24, while the y-axis indicates the daily number of deaths. Over this 75-year period, the number of deaths per day ranges from a low of 4,054 in 1950 to a high of 9,570 in 2021. Notable figures include 6,855 deaths in 2010 and 8,333 in 2024. The data shows a general upward trend in daily deaths over the decades, with recent years experiencing some fluctuations. This information is presented in a line graph format, effectively highlighting the long-term trends and yearly variations in daily deaths across the United States.

Death rate, crude (per 1,000 people) in United States was reported at 9.2 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Death rate, crude - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

In 2025, there were an estimated 313,780 new cases of prostate cancer in the United States, as well as 35,770 deaths. That year, prostate cancer cases accounted for around 15 percent of all new cancer cases and around six percent of all deaths due to cancer. This statistic shows the number of prostate cancer cases and deaths in the United States in 2025.

It is estimated that in 2024 there will be a total of 124,730 deaths due to lung and bronchus cancer in the United States. Florida is estimated to account for the highest number of these deaths. This statistic presents the estimated number of lung and bronchus cancer deaths in the United States in 2025, by state.

Number of infant deaths in United States was reported at 20317 deaths in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Number of infant deaths - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

The graph presents the number of accidental deaths in the United States from 1980 to 2023. The x-axis represents the years, labeled with two-digit abbreviations from '80 to '23, while the y-axis displays the annual number of accidental deaths. Throughout this 43-year period, the number of accidental deaths fluctuates between a low of 83,952 in 1992 and a high of 227,039 in 2022. The data illustrates a relatively stable number of accidental deaths from 1980 to the early 2000s, followed by a significant and steady increase in the subsequent two decades. The information is depicted in a line graph format, highlighting the upward trend in accidental deaths over the years.

Cause of death, by non-communicable diseases (% of total) in United States was reported at 88.14 % in 2019, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Cause of death, by non-communicable diseases (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

It is projected that if the opioid overdose crisis stabilizes by the year 2020 there will be around ******* overdose deaths from prescription and illicit opioids from 2016 to 2025. If the crisis does not stabilize until the year 2025 it is predicted that overdose deaths due to illicit opioids will reach a total of over ****million from 2016 to 2025.

This dataset contains counts of deaths for California counties based on information entered on death certificates. Final counts are derived from static data and include out-of-state deaths to California residents, whereas provisional counts are derived from incomplete and dynamic data. Provisional counts are based on the records available when the data was retrieved and may not represent all deaths that occurred during the time period. Deaths involving injuries from external or environmental forces, such as accidents, homicide and suicide, often require additional investigation that tends to delay certification of the cause and manner of death. This can result in significant under-reporting of these deaths in provisional data.

The final data tables include both deaths that occurred in each California county regardless of the place of residence (by occurrence) and deaths to residents of each California county (by residence), whereas the provisional data table only includes deaths that occurred in each county regardless of the place of residence (by occurrence). The data are reported as totals, as well as stratified by age, gender, race-ethnicity, and death place type. Deaths due to all causes (ALL) and selected underlying cause of death categories are provided. See temporal coverage for more information on which combinations are available for which years.

The cause of death categories are based solely on the underlying cause of death as coded by the International Classification of Diseases. The underlying cause of death is defined by the World Health Organization (WHO) as "the disease or injury which initiated the train of events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury." It is a single value assigned to each death based on the details as entered on the death certificate. When more than one cause is listed, the order in which they are listed can affect which cause is coded as the underlying cause. This means that similar events could be coded with different underlying causes of death depending on variations in how they were entered. Consequently, while underlying cause of death provides a convenient comparison between cause of death categories, it may not capture the full impact of each cause of death as it does not always take into account all conditions contributing to the death.

Total deaths for Maryland and its jurisdictions are derived from the U.S. Census Bureau’s Population Estimates Program. These estimates reflect revisions to the entire time series, beginning with the estimate base of April 1, 2020, through July 1 of the current year (referred to as the 'vintage year,' or V2024). Each time series incorporates updated administrative records, geographic boundary changes, and methodological improvements. The data is updated annually. Source: U.S. Census Bureau, Population Estimates Program, March 2025.

This dataset represents preliminary estimates of cumulative U.S. COVID-19 disease burden for the 2024-2025 period, including illnesses, outpatient visits, hospitalizations, and deaths. The weekly COVID-19-associated burden estimates are preliminary and based on continuously collected surveillance data from patients hospitalized with laboratory-confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections. The data come from the Coronavirus Disease 2019 (COVID-19)-Associated Hospitalization Surveillance Network (COVID-NET), a surveillance platform that captures data from hospitals that serve about 10% of the U.S. population. Each week CDC estimates a range (i.e., lower estimate and an upper estimate) of COVID-19 -associated burden that have occurred since October 1, 2024.

Note: Data are preliminary and subject to change as more data become available. Rates for recent COVID-19-associated hospital admissions are subject to reporting delays; as new data are received each week, previous rates are updated accordingly.

References

1. Reed C, Chaves SS, Daily Kirley P, et al. Estimating influenza disease burden from population-based surveillance data in the United States. PLoS One. 2015;10(3):e0118369. https://doi.org/10.1371/journal.pone.0118369 
2. Rolfes, MA, Foppa, IM, Garg, S, et al. Annual estimates of the burden of seasonal influenza in the United States: A tool for strengthening influenza surveillance and preparedness. Influenza Other Respi Viruses. 2018; 12: 132– 137. https://doi.org/10.1111/irv.12486
3. Tokars JI, Rolfes MA, Foppa IM, Reed C. An evaluation and update of methods for estimating the number of influenza cases averted by vaccination in the United States. Vaccine. 2018;36(48):7331-7337. doi:10.1016/j.vaccine.2018.10.026 
4. Collier SA, Deng L, Adam EA, Benedict KM, Beshearse EM, Blackstock AJ, Bruce BB, Derado G, Edens C, Fullerton KE, Gargano JW, Geissler AL, Hall AJ, Havelaar AH, Hill VR, Hoekstra RM, Reddy SC, Scallan E, Stokes EK, Yoder JS, Beach MJ. Estimate of Burden and Direct Healthcare Cost of Infectious Waterborne Disease in the United States. Emerg Infect Dis. 2021 Jan;27(1):140-149. doi: 10.3201/eid2701.190676. PMID: 33350905; PMCID: PMC7774540.
5. Reed C, Kim IK, Singleton JA,  et al. Estimated influenza illnesses and hospitalizations averted by vaccination–United States, 2013-14 influenza season. MMWR Morb Mortal Wkly Rep. 2014 Dec 12;63(49):1151-4. https://www.cdc.gov/mmwr/preview/mmwrhtml/mm6349a2.htm 
6. Reed C, Angulo FJ, Swerdlow DL, et al. Estimates of the Prevalence of Pandemic (H1N1) 2009, United States, April–July 2009. Emerg Infect Dis. 2009;15(12):2004-2007. https://dx.doi.org/10.3201/eid1512.091413  
7. Devine O, Pham H, Gunnels B, et al. Extrapolating Sentinel Surveillance Information to Estimate National COVID-19 Hospital Admission Rates: A Bayesian Modeling Approach. Influenza and Other Respiratory Viruses. https://onlinelibrary.wiley.com/doi/10.1111/irv.70026. Volume18, Issue10. October 2024.
8. https://www.cdc.gov/covid/php/covid-net/index.html">COVID-NET | COVID-19 | CDC 
9. https://www.cdc.gov/covid/hcp/clinical-care/systematic-review-process.html 
10. https://academic.oup.com/pnasnexus/article/1/3/pgac079/6604394?login=false">Excess natural-cause deaths in California by cause and setting: March 2020 through February 2021 | PNAS Nexus | Oxford Academic (oup.com)
11. Kruschke, J. K. 2011. Doing Bayesian data analysis: a tutorial with R and BUGS. Elsevier, Amsterdam, Section 3.3.5.

Cause of death, by injury (% of total) in United States was reported at 6.553 % in 2019, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Cause of death, by injury (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

It was estimated that in 2025 around ****** men in the United States would die of prostate cancer. This statistic shows the estimated number of cancer deaths among men in the United States in 2009 and 2025, by cancer type.

This dataset provides values for CORONAVIRUS DEATHS reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

This dataset contains counts of deaths for California as a whole based on information entered on death certificates. Final counts are derived from static data and include out-of-state deaths to California residents, whereas provisional counts are derived from incomplete and dynamic data. Provisional counts are based on the records available when the data was retrieved and may not represent all deaths that occurred during the time period. Deaths involving injuries from external or environmental forces, such as accidents, homicide and suicide, often require additional investigation that tends to delay certification of the cause and manner of death. This can result in significant under-reporting of these deaths in provisional data.

The final data tables include both deaths that occurred in California regardless of the place of residence (by occurrence) and deaths to California residents (by residence), whereas the provisional data table only includes deaths that occurred in California regardless of the place of residence (by occurrence). The data are reported as totals, as well as stratified by age, gender, race-ethnicity, and death place type. Deaths due to all causes (ALL) and selected underlying cause of death categories are provided. See temporal coverage for more information on which combinations are available for which years.

The cause of death categories are based solely on the underlying cause of death as coded by the International Classification of Diseases. The underlying cause of death is defined by the World Health Organization (WHO) as "the disease or injury which initiated the train of events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury." It is a single value assigned to each death based on the details as entered on the death certificate. When more than one cause is listed, the order in which they are listed can affect which cause is coded as the underlying cause. This means that similar events could be coded with different underlying causes of death depending on variations in how they were entered. Consequently, while underlying cause of death provides a convenient comparison between cause of death categories, it may not capture the full impact of each cause of death as it does not always take into account all conditions contributing to the death.

Number of under-five deaths in United States was reported at 23989 deaths in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Number of under-five deaths - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

United States COVID-19: No. of Deaths: To Date: Maryland data was reported at 18,446.000 Person in 06 May 2025. This records an increase from the previous number of 18,441.000 Person for 05 May 2025. United States COVID-19: No. of Deaths: To Date: Maryland data is updated daily, averaging 15,143.000 Person from Mar 2020 (Median) to 06 May 2025, with 1890 observations. The data reached an all-time high of 18,446.000 Person in 06 May 2025 and a record low of 0.000 Person in 27 Dec 2021. United States COVID-19: No. of Deaths: To Date: Maryland data remains active status in CEIC and is reported by Maryland Department of Health. The data is categorized under High Frequency Database’s Disease Outbreaks – Table US.D001: Center for Disease Control and Prevention: Coronavirus Disease 2019 (COVID-2019). Cases data pertains to confirmed deaths only.

The graph illustrates the number of flu-related deaths in the United States for each flu season from 2010-2011 to 2023-2024*. The x-axis represents the flu seasons, labeled from '10-11 to '23*-24*, while the y-axis shows the annual number of flu deaths. Throughout this period, flu deaths vary significantly, ranging from a low of 4,900 in the 2021-2022* season to a high of 51,000 in both the 2014-2015 and 2017-2018 seasons. Other notable figures include 36,000 deaths in 2010-2011, 42,000 in 2012-2013, and a recent increase to 28,000 in the 2023*-2024* season. The data exhibits considerable fluctuations with no consistent upward or downward trend, highlighting the variability in flu mortality rates over the years. This information is presented in a line graph format, effectively showcasing the yearly changes and peaks in flu-related deaths across the United States.

*Data for the 2021-2022 and 2022-2023 seasons are estimated.