The rate of breast cancer deaths in the U.S. has dramatically declined since 1950. As of 2023, the death rate from breast cancer was **** per 100,000 population. However, cancer is a serious public health issue in the United States and is the second leading cause of death among women. Breast cancer incidence Breast cancer symptoms include lumps or thickening of the breast tissue and may include changes to the skin. Breast cancer is driven by many factors, but age is a known risk factor. Among all age groups, the highest number of invasive breast cancer cases were among those aged 60 to 69. The incidence rate of new breast cancer cases is higher in some ethnicities than others. White, non-Hispanic women have the highest incidence rate of breast cancer, followed by non-Hispanic Black women. Breast cancer treatment Breast cancer treatments usually involve several methods, including surgery, chemotherapy and biological therapy. Types of cancer diagnosed at earlier stages often require fewer treatments. A majority of early stage breast cancer cases in the U.S. receive breast conserving surgery and radiation therapy.

In 2022, the mortality rate of breast cancer in women in Europe was **** per 100,000 women. Cyprus had the highest mortality rate at **** per 100,000, followed by Slovakia with **** per 100,000 women. Conversely, Spain had the lowest mortality rate at **** per 100,000. This statistic depicts the mortality rate of breast cancer in Europe in 2022 in women population, by country.

Mortality from breast cancer (ICD-10 C50 equivalent to ICD-9 174). To reduce deaths from breast cancer. The next release date for this indicator is to be confirmed. Legacy unique identifier: P00147

In 2023, there were **** deaths from breast cancer per 100,000 population in the state of South Dakota, the lowest of any state that year. This statistic shows the death rate from breast cancer in the U.S. in 2023, by state.

Deaths from breast cancer in females registered in the calendar year, directly standardized by age group, given as a rate per 100,000 registered female patients.

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• Global Breast Cancer Market size is expected to be worth around USD 49.2 Bn by 2032 from USD 19.8 Bn in 2022, growing at a CAGR of 9.8% during the forecast period from 2022 to 2032.
• Breast cancer is the most common cancer among women worldwide. In 2020, there were about 2.3 million new cases of breast cancer diagnosed globally.
• Breast cancer is the leading cause of cancer-related deaths in women. In 2020, it was responsible for approximately 685,000 deaths worldwide.
• The survival rate of breast cancer has improved over the years. In the United States, the overall five-year survival rate of breast cancer is around 90%.
• The American Cancer Society recommends annual mammograms starting at age 40 for women at average risk.
• Although rare, breast cancer also occurs in men. Less than 1% of breast cancer cases are diagnosed in males.

(Source: WHO, American Cancer Society)

Death rate has been age-adjusted to the 2000 U.S. standard population. Single-year data are only available for Los Angeles County overall, Service Planning Areas, Supervisorial Districts, City of Los Angeles overall, and City of Los Angeles Council Districts.Obesity can increase an individual’s lifetime risk of breast cancer. Promoting healthy food retail and physical activity and improving access to preventive care services are important measures that cities and communities can take to prevent breast cancer.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

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

BACKGROUND Comprehensive analyses of statistical data on breast cancer incidence, mortality, and associated risk factors are of great value for decision-making related to reducing the disease burden of breast cancer. METHODS: Based on data from the Annual Report of China Tumour Registry and the Global Burden of Disease (GBD), we conducted summary and trend analyses of incidence and mortality rates of breast cancer in Chinese women from 2014 to 2018 for urban and rural areas in the whole, eastern, central, and western parts of the country, and projected the incidence and mortality rates of breast cancer for 2019 in comparison with the GBD 2019 estimates. And the comparative risk assessment framework estimated risk factors contributing to breast cancer deaths and disability-adjusted life years (DALYs) from GBD. RESULTS: The Annual Report of the Chinese Tumour Registry showed that showed that the mortality rate of breast cancer declined and the incidence rate remained largely unchanged from 2014 to 2018. There was a significant increasing trend in incidence rates among urban and rural women in eastern China and rural women in central China, whereas there was a significant decreasing trend in mortality rates among rural women in China. The two data sources have some differences in their predictions of breast cancer in China in 2019. The GBD data estimated the age-standard DALYs rates of high body-mass index, high fasting plasma glucose and diet high in red meat, which are the top three risk factors attributable to breast cancer in Chinese women, to be 29.99/100,000, 13.66/100,000 and 13.44/100,000, respectively. Conclusion: The trend of breast cancer incidence and mortality rates shown in the Annual Report of China Tumour Registry indicates that China has achieved remarkable results in reducing the burden of breast cancer, but there is still a need to further improve breast cancer screening and early diagnosis and treatment, and to improve the system of primary prevention. The GBD database provides risk factors for breast cancer in the world, Asia, and China, and lays the foundation for research on effective measures to reduce the burden of breast cancer.

Deaths from breast cancer - Directly age-Standardised Rates (DSR) per 100,000 population Source: Office for National Statistics (ONS) Publisher: Information Centre (IC) - Clinical and Health Outcomes Knowledge Base Geographies: Local Authority District (LAD), Government Office Region (GOR), National, Primary Care Trust (PCT), Strategic Health Authority (SHA) Geographic coverage: England Time coverage: 2005-07, 2007 Type of data: Administrative data

The U.S. states are divided into groups based on the rates at which women developed or died from breast cancer in 2013, which is the most recent year for which incidence data are available.

Breast cancer was the cancer type with the highest rate of death among females worldwide in 2022. That year, there were around 13 deaths from breast cancer among females per 100,000 population. The death rate for all cancers among females was 76.4 per 100,000 population. This statistic displays the rate of cancer deaths among females worldwide in 2022, by type of cancer.

Each variable was assessed for each ZIP code within each county. Based on The Pearson's Correlation between the indicated variables was calculated using datapoints obtained for each ZIP code within each county.

Introduction

Breast Cancer Statistics: Breast cancer remains one of the most prevalent and concerning health challenges, mostly among women. It is the most common cancer diagnosed in women worldwide and the second leading cause of cancer-related deaths among women in the United States. The impact of breast cancer is significant, with millions of new cases diagnosed each year and hundreds of thousands of deaths attributed to the disease.

This article will provide critical insights into the incidence, survival rates, mortality, and disparities across different demographics, including age, race, and ethnicity. Understanding the latest statistics on breast cancer is crucial for driving progress in reducing the incidence and mortality rates, improving survival outcomes, and ultimately, finding a cure.

BackgroundAmidst the rising breast cancer burden in Asia, we aim to predict the future mortality risk due to breast cancer and identify the risk-attributable deaths for breast cancer among East and South Asian countries.MethodsWe used country-level data to predict the trends in the next decade relating to female breast cancer mortality by employing data from 1990 to 2019 from the Global Burden of Disease 2019 study. We used the stochastic mortality modeling and prediction techniques to forecast the age-specific and risk-attributable breast cancer mortality trends at the regional and national levels of East and South Asia.ResultsThe number of deaths caused by the breast cancer is predicted to increase in East and South Asian countries in the next decade (2020–2030). Age-standardized death rate (ASDR) of breast cancer is predicted to increase by 7.0% from 9.20/100,000 (95% CI: 6.04–12.12) in 1990 to 9.88/100,000 (95% CI: 7.12–11.4) in 2030 in East Asia, and about 35% increase from 13.4/100,000 (95% CI: 9.21–16.02) in 1990 to 18.1/100,000 (95% CI: 13.23–21.10) in 2030 in South Asia. At the national level, the highest percent change in ASDR between 1990 and 2030 was reported in Pakistan (a 62% increase) and Nepal (a 47% increase). The highest percent change in breast cancer mortality between 2020 and 2030 for females of age group 80–84 years was observed in Pakistan [21.6, (95% CI, 20.6–94.7)], followed by Afghanistan [13.3 (4.0–80.8)], and Nepal [36.6 (11.1–125.7)] as compared to the other countries. In the females of aged 50–80 years, the predicted death rates were associated with high body mass index, high-fasting plasma glucose, and diet high in red meat, across the majority of countries under study. Furthermore, reductions in percent change in mortality rates occurred in several countries with increases in sociodemographic index (SDI), notably across high SDI countries.ConclusionBreast cancer mortality risk varies substantially across East and South Asian countries with higher mortality risk in low/middle SDI countries. Early detection using screening, awareness among females and health workers, and cost-effective and timely treatment of patients with breast cancer is vital in stemming the tide of breast cancer in the next decade.

Legacy unique identifier: P00151

Computations of predicted numbers of breast cancer deaths in the Two-County trial.

Age-standardised breast cancer incidence rates (per 100,000) for females by province and time intervals and percentage change of age-standardised rates (sorted by values in 2008–2010).

Source: Cancer Registry Database, HPA. Note: 1. The observed survival rate indicates the proportion of patients who were diagnosed with cancer at a given time and are alive at a certain point in time after diagnosis. All deaths are considered in this calculation regardless of cause, which reflects total mortality in the group of patients, not just that attributable solely to cancer. 2. Cumulative relative survival (%), which expresses the probability of cancer survival after adjustment for competing causes of death, was estimated as the ratio of observed to expected survival. Observed survival was based on deaths from all causes. Expected survival was based on cases only to the age-, year- and sex-specific mortalities observed in the general population (comparable group).

Abstract Introduction Despite the preventive actions, breast cancer (BC) in Brazil has a high mortality, probably due to the identification of the tumor in advanced stages. Objective To analyze mortality from BC in the health micro-regions of Minas Gerais (MG), 2013-2017, and its possible association with social inequality. Method Ecological study, whose unit of analysis was the health micro-regions of MG. Mortality, sociodemographic and health data were extracted from SIM, IBGE, PROADESS, and DATASUS. Specific and age-standardized mortality rates were calculated, thematic maps were constructed, and statistical analyzes were performed using the Moran Index and multiple simple regression. Results From 2013-2017 there were 7,571 deaths from BC in MG. The deadliest microregions are in the Center and East; the smallest in the North and Northeast. Most variables had a high coefficient of variation and were significant in the simple linear regression model. In the multiple distal and proximal models, only the degree of urbanization was significant. All variables showed significant spatial autocorrelation and spatial dependence. Conclusion High mortality rates in the most urbanized micro-regions can be explained by reproductive, behavioral factors and the distribution of health resources, present in large urban centers.