The graph illustrates the number of deaths from cancer in the United States over the period from 1999 to 2023. The x-axis represents the years, labeled with two-digit abbreviations from '99 to '23, while the y-axis displays the annual number of cancer-related deaths. Throughout this 25-year span, the number of deaths ranges from a minimum of 549,829 in 1999 to a maximum of 613,349 in 2023. The data shows a gradual increase in annual deaths over the years. Notably, the number surpassed 550,000 in 2000 with 553,080 deaths, reached 574,738 in 2010, and exceeded 600,000 in 2020 with 602,347 deaths. The figures continued to rise, culminating in the highest recorded number of 613,349 deaths in 2023.

Malignant tumor has become one of the leading death causes in Taiwan. In 2023, the standardized mortality rate from malignant neoplasms in Taiwan was ***** deaths per 100,000 people. Males had a relatively higher death rate from cancers.

The graph displays cancer mortality rates by gender in the United States from 1999 to 2023. The x-axis represents the years, labeled from '99 to '23, while the y-axis indicates the mortality rates per 100,000 population for males, females, and the total population. Over this 24-year span, male mortality rates declined from a high of 252.8 in 1999 to a low of 165.4 in 2023. Female mortality rates decreased from 167.2 in 1999 to 123.6 in 2023. The total mortality rate dropped from 200.7 in 1999 to 141.5 in 2023. The data shows a consistent downward trend in cancer mortality rates for both genders and overall. The graph is presented in a line chart format, highlighting the yearly changes and trends in cancer mortality by gender.

Rate: Number of deaths due to all kinds of Cancer per 100,000 Population.

Definition: Number of deaths per 100,000 with malignant neoplasm (cancer) as the underlying cause (ICD-10 codes: C00-C97).

Data Sources:

(1) Centers for Disease Control and Prevention, National Center for Health Statistics. Compressed Mortality File. CDC WONDER On-line Database accessed at http://wonder.cdc.gov/cmf-icd10.html

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

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

In 2025, it was estimated that there would be over 972 thousand new cancer cases among women in the United States. This statistic illustrates the estimated number of new cancer cases and deaths in the United States for 2025, by gender.

Rate: Number of deaths due to cancer of the trachea, bronchus, and lung per 100,000 Population.

Definition: Number of deaths per 100,000 with malignant neoplasm (cancer) cancer of the trachea, bronchus, and lung as the underlying cause (ICD-10 codes: C33-C34).

Data Sources:

(1) Centers for Disease Control and Prevention, National Center for Health Statistics. Compressed Mortality File. CDC WONDER On-line Database accessed at http://wonder.cdc.gov/cmf-icd10.html

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

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

Decrease the cancer death rate from 185.7 per 100,000 in 2013 to 180.3 per 100,000 by 2019.

In 2023, around *** deaths per 100,000 population in Russia were attributed to malignant neoplasms. The highest mortality rate due to that reason across the country was recorded in the Kurgan Oblast, measuring at over *** deaths per 100,000 inhabitants. The Ingushetia Republic had the lowest mortality rate from cancer, at approximately ** deaths per 100,000 population. Cancer mortality in Russia Cancer is the second-leading cause of mortality in Russia, being only superseded by circulatory system diseases which were responsible for *** deaths per 100 thousand population in 2022. However, the number of deaths from cancer has been steadily decreasing year-on-year. In 2021, approximately *** thousand Russians deceased due to a malignant tumor. That marked a four-percent decrease from the previous year. Furthermore, the five-year cancer survival rate reached an all-time maximum. As of 2021, nearly six in ten patients in Russia continued to be registered with an oncological establishment for five years or more after receiving their diagnosis. Growth in cancer risk factors in Russia Some well-known risk factors for cancer include sun exposure, tobacco and alcohol use, a poor diet, and being overweight. Despite the merits of a healthy lifestyle being widely recognized, the share of healthy lifestyle followers in Russia has been following a downward trend over the past years. In particular, the rates of heavy smokers have increased. In 2022, a fifth of Russians consumed one pack of cigarettes a day or more, a three-percent growth from 2020.

Rate: Number of deaths due to prostate cancer per 100,000 male population.

Definition: Number of deaths per 100,000 males with malignant neoplasm (cancer) of the prostate as the underlying cause of death (ICD-10 code: C61).

Data Sources:

(1) Centers for Disease Control and Prevention, National Center for Health Statistics. Compressed Mortality File. CDC WONDER On-line Database accessed at http://wonder.cdc.gov/cmf-icd10.html

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

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

Provisional death counts of malignant neoplasms (cancer) by month and year, and other selected demographics, for 2020-2021. Data are based on death certificates for U.S. residents.

This is historical data. The update frequency has been set to "Static Data" and is here for historic value. Updated 8/14/2024.

Number of deaths among Maryland residents for which malignant neoplasms were the underlying cause of death. This includes deaths coded to the following International Classification of Diseases codes: ICD-3 (1920-1929) -- 43-49 ICD-4 (1930-1938) -- 45-53, 72 ICD-5 (1939-1948) -- 45-55 ICD-6 (1949-1957) -- 140-205 ICD-7 (1958-1967) -- 140-205 ICD-8 (1968-1978) -- 140-209 ICD-9 (1979-1998) -- 140-208 ICD-10 (1999-present) -- C00-C97.

The United States Cancer Statistics (USCS) online databases in WONDER provide cancer incidence and mortality data for the United States for the years since 1999, by year, state and metropolitan areas (MSA), age group, race, ethnicity, sex, childhood cancer classifications and cancer site. Report case counts, deaths, crude and age-adjusted incidence and death rates, and 95% confidence intervals for rates. The USCS data are the official federal statistics on cancer incidence from registries having high-quality data and cancer mortality statistics for 50 states and the District of Columbia. USCS are produced by the Centers for Disease Control and Prevention (CDC) and the National Cancer Institute (NCI), in collaboration with the North American Association of Central Cancer Registries (NAACCR). Mortality data are provided by the Centers for Disease Control and Prevention (CDC), National Center for Health Statistics (NCHS), National Vital Statistics System (NVSS).

AbstractIn Italy, approximately 400.000 new cases of malignant tumors are recorded every year. The average of annual deaths caused by tumors, according to the Italian Cancer Registers, is about 3.5 deaths and about 2.5 per 1,000 men and women respectively, for a total of about 3 deaths every 1,000 people. Long-term (at least a decade) and spatially detailed data (up to the municipality scale) are neither easily accessible nor fully available for public consultation by the citizens, scientists, research groups, and associations. Therefore, here we present a ten-year (2009–2018) database on cancer mortality rates (in the form of Standardized Mortality Ratios, SMR) for 23 cancer macro-types in Italy on municipal, provincial, and regional scales. We aim to make easily accessible a comprehensive, ready-to-use, and openly accessible source of data on the most updated status of cancer mortality in Italy for local and national stakeholders, researchers, and policymakers and to provide researchers with ready-to-use data to perform specific studies. Methods For a given locality, year, and cause of death, the SMR is the ratio between the observed number of deaths (Om) and the number of expected deaths (Em): SMR = Om/Em (1) where Om should be an available observational data and Em is estimated as the weighted sum of age-specific population size for the given locality (ni) per age-specific death rates of the reference population (MRi): Em = sum(MRi x ni) (2) MRi could be provided by a public health organization or be estimated as the ratio between the age-specific number of deaths of reference population (Mi) to the age-specific reference population size (Ni): MRi = Mi/Ni (3) Thus, the value of Em is weighted by the age distribution of deaths and population size. SMR assumes value 1 when the number of observed and expected deaths are equal. Following eqns. (1-3), the SMR was computed for single years of the period 2009-2018 and for single cause of death as defined by the International ICD-10 classification system by using the following data: age-specific number of deaths by cause of reference population (i.e., Mi) from the Italian National Institute of Statistics (ISTAT, (http://www.istat.it/en/, last access: 26/01/2022)); age-specific census data on reference population (i.e., Ni) from ISTAT; the observed number of deaths by cause (i.e., Om) from ISTAT; the age-specific census data on population (ni); the SMR was estimated at three different level of aggregation: municipal, provincial (equivalent to the European classification NUTS 3) and regional (i.e., NUTS2). The SMR was also computed for the broad category of malignant tumors (i.e. C00-C979, hereinafter cancer macro-type C), and for the broad category of malignant tumor plus non-malignant tumors (i.e. C00-C979 plus D0-D489, hereinafter cancer macro-type CD). Lower 90% and 95% confidence intervals of 10-year average values were computed according to the Byar method.

Annual percent change and average annual percent change in age-standardized cancer mortality rates since 1984 to the most recent data year. The table includes a selection of commonly diagnosed invasive cancers and causes of death are defined based on the World Health Organization International Classification of Diseases, ninth revision (ICD-9) from 1984 to 1999 and on its tenth revision (ICD-10) from 2000 to the most recent year.

Age-standardised rate of mortality from oral cancer (ICD-10 codes C00-C14) in persons of all ages and sexes per 100,000 population.RationaleOver the last decade in the UK (between 2003-2005 and 2012-2014), oral cancer mortality rates have increased by 20% for males and 19% for females1Five year survival rates are 56%. Most oral cancers are triggered by tobacco and alcohol, which together account for 75% of cases2. Cigarette smoking is associated with an increased risk of the more common forms of oral cancer. The risk among cigarette smokers is estimated to be 10 times that for non-smokers. More intense use of tobacco increases the risk, while ceasing to smoke for 10 years or more reduces it to almost the same as that of non-smokers3. Oral cancer mortality rates can be used in conjunction with registration data to inform service planning as well as comparing survival rates across areas of England to assess the impact of public health prevention policies such as smoking cessation.References:(1) Cancer Research Campaign. Cancer Statistics: Oral – UK. London: CRC, 2000.(2) Blot WJ, McLaughlin JK, Winn DM et al. Smoking and drinking in relation to oral and pharyngeal cancer. Cancer Res 1988; 48: 3282-7. (3) La Vecchia C, Tavani A, Franceschi S et al. Epidemiology and prevention of oral cancer. Oral Oncology 1997; 33: 302-12.Definition of numeratorAll cancer mortality for lip, oral cavity and pharynx (ICD-10 C00-C14) in the respective calendar years aggregated into quinary age bands (0-4, 5-9,…, 85-89, 90+). This does not include secondary cancers or recurrences. Data are reported according to the calendar year in which the cancer was diagnosed.Counts of deaths for years up to and including 2019 have been adjusted where needed to take account of the MUSE ICD-10 coding change introduced in 2020. Detailed guidance on the MUSE implementation is available at: https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/articles/causeofdeathcodinginmortalitystatisticssoftwarechanges/january2020Counts of deaths for years up to and including 2013 have been double adjusted by applying comparability ratios from both the IRIS coding change and the MUSE coding change where needed to take account of both the MUSE ICD-10 coding change and the IRIS ICD-10 coding change introduced in 2014. The detailed guidance on the IRIS implementation is available at: https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/bulletins/impactoftheimplementationofirissoftwareforicd10causeofdeathcodingonmortalitystatisticsenglandandwales/2014-08-08Counts of deaths for years up to and including 2010 have been triple adjusted by applying comparability ratios from the 2011 coding change, the IRIS coding change and the MUSE coding change where needed to take account of the MUSE ICD-10 coding change, the IRIS ICD-10 coding change and the ICD-10 coding change introduced in 2011. The detailed guidance on the 2011 implementation is available at https://webarchive.nationalarchives.gov.uk/ukgwa/20160108084125/http://www.ons.gov.uk/ons/guide-method/classifications/international-standard-classifications/icd-10-for-mortality/comparability-ratios/index.htmlDefinition of denominatorPopulation-years (aggregated populations for the three years) for people of all ages, aggregated into quinary age bands (0-4, 5-9, …, 85-89, 90+)

Rate: Number of deaths due to oropharyngeal cancer per 100,000 Population.

Definition: Number of deaths per 100,000 with malignant neoplasm (cancer) of the lip, oral cavity and pharynx as the underlying cause of death (ICD-10 codes: C00-C14).

Data Sources:

(1) Centers for Disease Control and Prevention, National Center for Health Statistics. Compressed Mortality File. CDC WONDER On-line Database accessed at http://wonder.cdc.gov/cmf-icd10.html

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

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

Mortality from malignant melanoma (ICD-10 C43 equivalent to ICD-9 172). To reduce deaths from malignant melanoma. Legacy unique identifier: P00650

Rate: Number of deaths among females due to breast cancer per 100,000 female population.

Definition: Number of deaths per 100,000 with malignant neoplasm (cancer) of the female breast as the underlying cause (ICD-10 codes: C33-C34).

Data Sources:

(1) Centers for Disease Control and Prevention, National Center for Health Statistics. Compressed Mortality File. CDC WONDER On-line Database accessed at http://wonder.cdc.gov/cmf-icd10.html

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

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

Mortality from skin cancers other than malignant melanoma (ICD-10 C44 equivalent to ICD-9 173). To reduce deaths from skin cancers other than malignant melanoma. Legacy unique identifier: P00654

Rate: Number of deaths due to a cancer of the colon, rectum, or anus per 100,000 population.

Definition: Number of deaths per 100,000 with malignant neoplasm (cancer) of the colon, rectum, or anus as the underlying cause (ICD-10 codes: C18-C21).

Data Sources:

(1) Centers for Disease Control and Prevention, National Center for Health Statistics. Compressed Mortality File. CDC WONDER On-line Database accessed at http://wonder.cdc.gov/cmf-icd10.html

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

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