In 2022, there were around 14 fetal deaths per 1,000 births among women in the United States aged 35 to 39 years who used tobacco during their pregnancy, a significantly higher number compared to around five fetal deaths per 1,000 births among women in the same age group who did not use tobacco during their pregnancy. This statistic illustrates the fetal mortality rates in the United States in 2022, by age and tobacco use during pregnancy.

2005-2009. SAMMEC - Smoking-Attributable Mortality, Morbidity, and Economic Costs. Smoking-attributable mortality (SAM) is the number of deaths caused by cigarette smoking based on diseases for which the U.S. Surgeon General has determined that cigarette smoking is a causal factor.

From 1965 to 2019, the prevalence of cigarette smoking in the U.S. has decreased from about ** percent to ** percent. Cigarette smoking is a known risk factor for many types of cancers, including lung cancer, bladder cancer and pancreatic cancer. Globally, tobacco use is one of the greatest risk factors for preventable diseases. There are several resources in the United States to help individuals quit smoking, including websites, hotlines, medications and text message programs. Smoking prevalence globally Globally, smoking prevalence has also decreased, and is projected to continue to decline through 2025. North America comprises a small percentage of the world’s cigarette smokers. The highest prevalence of tobacco smoking can be found in Europe, followed by the Western Pacific. In the past few decades, there have been stronger efforts made to reduce cigarette consumption in many parts of the world. Cigarettes are taxed separately in many countries and are often required to add health warnings to cigarette packaging for consumers. Smoking cessation measures Smoking prevention measures cover a broad range of targeted cigarette reduction. Common tobacco control policies include warning labels, advertising bans, and smoke-free environments. As of 2022, around ** percent of the world population lived in a place where there were warning labels on tobacco products.

Per capita cigarette consumption in the United States has decreased in recent years, with smokers in 2015 consuming an average of 1,078 cigarettes per capita. In total, there were around 267 billion cigarettes consumed in the U.S. that year. Cigarette consumption in the U.S. has decreased due to public policies limiting where people can smoke, higher taxes on cigarettes, and increased awareness by the general public of the health risks associated with smoking.

Smokers in the U.S.

Even though cigarette consumption has decreased, there are still around 38 million people in the U.S. who regularly smoke cigarettes. This is around 15.5 percent of the entire population. However, in the year 2000, 23 percent of the population smoked, a significant difference from present day figures. Smoking remains more common among males than females and rates of smoking among adolescents have decreased.

Health risks

Smoking has been proven to increase the risk of a variety of diseases and is the leading cause of preventable death in the U.S. Smoking harms almost every organ in the body and increases a person’s chance of developing lung cancer, heart disease, and stroke. For example, men who smoke are 25 times more likely to develop lung cancer than men who don’t smoke. Furthermore, around 81 percent of all deaths from lung, bronchus and trachea cancer can be attributed to cigarette smoking.

As of 2023, the U.S. states with the highest smoking rates included West Virginia, Tennessee, and Louisiana. In West Virginia, around 20 percent of all adults smoked as of this time. The number of smokers in the United States has decreased over the past decades. Who smokes? The smoking rates for both men and women have decreased for many years, but men continue to smoke at higher rates than women. As of 2021, around 13 percent of men were smokers compared to 10 percent of women. Concerning race and ethnicity, smoking is least prevalent among Asians with just five percent of this population smoking compared to 13 percent of non-Hispanic whites. Health impacts of smoking The negative health impacts of smoking are vast. Smoking increases the risk of heart disease, stroke, and many different types of cancers. For example, smoking is estimated to be attributable to 81 percent of all deaths from lung cancer among adults 30 years and older in the United States. Smoking is currently the leading cause of preventable death in the United States.

This dataset displays tobacco-related deaths in the City of Austin between 2006 and 2018 and includes year of death, gender, age, race/ethnicity and whether tobacco contributed to the death (yes or probably contributed). Data are sourced from the City of Austin's Office of Vital Records. The contribution of tobacco to a death is indicated using a checkbox on the death certificate (marked by the individual filling out the death certificate). [NOTE: Race/ethnicity data are missing for December 2018 due to electronic death records system errors]

A survey from the fall of 2024, found that the most used tobacco products among college students in the United States were e-cigarettes or other vape products. At that time, around 76 percent of college students who used tobacco products in the past three months reported they used e-cigarettes or other vape products. The same survey found that among college students who reported ever using a tobacco product, around 25 percent stated they used tobacco daily or almost daily in the past three months, while 28 percent had used just once or twice. What is the most popular kind of tobacco product in the United States? Although e-cigarettes are the most used tobacco product among college students, the most commonly used form of tobacco among U.S. adults is still regular combustible cigarettes. In 2021, around 10 percent of women and 13 percent of men were current cigarette smokers, compared to four percent of women and five percent of men who smoked e-cigarettes. However, e-cigarette use is much more common among younger adults, not just college students. In 2021, around 11 percent of those aged 18 to 24 years used e-cigarettes, while five percent smoked combustible cigarettes. Smoking trends in the United States Smoking in the United States has dramatically decreased over the past few decades. In 1965, it was estimated that around 42 percent of adults in the U.S. smoked, but this number was only about 14 percent in 2019. Nevertheless, as of 2022, almost 29 million people still smoked and are at risk of premature death due to cancer, cardiovascular disease, or stroke, just a few of the risk factors of smoking. The state with the highest percentage of adults who smoke is West Virginia, while Utah has the lowest prevalence of smoking. In 2023, around 20 percent of adults in West Virginia smoked, compared to six percent in Utah.

Death rate has been age-adjusted by 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.Lung cancer is a leading cause of cancer-related death in the US. People who smoke have the greatest risk of lung cancer, though lung cancer can also occur in people who have never smoked. Most cases are due to long-term tobacco smoking or exposure to secondhand tobacco smoke. Cities and communities can take an active role in curbing tobacco use and reducing lung cancer by adopting policies to regulate tobacco retail; reducing exposure to secondhand smoke in outdoor public spaces, such as parks, restaurants, or in multi-unit housing; and improving access to tobacco cessation programs and other preventive services.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

As of 2022, around **** million adults in the United States were current cigarette smokers. Although this figure is still high, it is significantly lower compared to previous years. For example, in 2011, there were almost ** million smokers in the United States. Smoking demographics in the U.S. Although smoking in the U.S. has decreased greatly over the past few decades, it is still more common among certain demographics than others. For example, men are more likely to be current cigarette smokers than women, with ** percent of men smoking in 2021, compared to ** percent of women. Furthermore, non-Hispanic whites and non-Hispanic Blacks smoke at higher rates than Hispanics and non-Hispanic Asians, with almost ** percent of non-Hispanic whites smoking in 2022, compared to just under **** percent of non-Hispanic Asians. Certain regions and states also have a higher prevalence of smoking than others, with around ** percent of adults in West Virginia considered current smokers, compared to just *** percent in Utah. The health impacts of smoking The decrease in smoking rates in the United States over the past decades is due to many factors, including policies and regulations limiting cigarette advertising, promotion, and sales, price increases for cigarettes, and widespread awareness among the public of the dangers of smoking. According to the CDC, those who smoke are *** to **** times more likely to develop coronary heart disease and stroke and around ** times more likely to develop lung cancer than nonsmokers. In fact, it is estimated that around ** percent of lung cancer deaths in the United States can be attributed to cigarette smoking, as well as ** percent of larynx cancer deaths. Cigarette smokers are also much more likely to develop chronic obstructive pulmonary disease (COPD), with around ** percent of current smokers in the U.S. living with COPD in 2021, compared to just ***** percent of those who had never smoked.

In 2019, it was estimated that around 90 percent of tracheal cancer deaths among people aged 30 years and older in the United States could be attributable to cigarette smoking. This statistic shows the proportion of cancer deaths in the United States attributable to cigarette smoking in 2019.

BackgroundThis study was aimed to examine the association between cigarette smoking in childhood and mortality in adulthood, and the impact of non-smoking duration among smokers who subsequently quit smoking.MethodsWe used data from 472,887 adults aged 18–85 years examined once in the US National Health Interview Survey in 1997–2014, which was linked to mortality data from the National Death Index up to 31 December 2015. Cigarette smoking status in childhood (age 6 to 17 years) and adulthood (age 18 to 85 years) was self-reported using a standard questionnaire at the time of participation in the survey. The vital status of participants due all-causes, cardiovascular disease (CVD), cancer and chronic lower respiratory diseases was obtained using mortality data from the National Death Index.ResultsDuring the mean follow-up of 8.75 years, compared with never smoking in childhood and adulthood, the risk of all-cause mortality among current adult smokers decreased slightly according to increasing age at smoking initiation: hazard ratios (HRs; 95% confidence intervals, CIs) were 2.54 (2.24–2.88) at age of 6–9 years, 2.44 (2.31–2.57) at age of 10–14 years, and 2.21 (2.12–2.31) at age of 15–17 years. Smoking cessation before the age of 30 years was not associated with increased risk of all-cause and cause-specific mortality (all p > 0.05) compared to never smoking.ConclusionMortality risk was higher in individuals who started smoking at an earlier age in childhood. Inversely, smoking cessation before the age of 30 years was not associated with an increased risk of mortality compared to never smoking.

Analysis of ‘Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) - Smoking-Attributable Mortality (SAM)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/8d02cc25-7e9d-4739-8e14-1dae7dd12c28 on 27 January 2022.

--- Dataset description provided by original source is as follows ---

2005-2009. SAMMEC - Smoking-Attributable Mortality, Morbidity, and Economic Costs. Smoking-attributable mortality (SAM) is the number of deaths caused by cigarette smoking based on diseases for which the U.S. Surgeon General has determined that cigarette smoking is a causal factor.

--- Original source retains full ownership of the source dataset ---

Population mortality forecasts are widely used for allocating public health expenditures, setting research priorities, and evaluating the viability of public pensions, private pensions, and health care financing systems. In part because existing methods seem to forecast worse when based on more information, most forecasts are still based on simple linear extrapolations that ignore known biological risk factors and other prior information. We adapt a Bayesian hierarchical forecasting model capable of including more known health and demographic information than has previously been possible. This leads to the first age- and sex-specific forecasts of American mortality that simultaneously incorporate, in a formal statistical model, the effects of the recent rapid increase in obesity, the steady decline in tobacco consumption, and the well known patterns of smooth mortality age profiles and time trends. Formally including new information in forecasts can matter a great deal. For example, we estimate an increase in male life expectancy at birth from 76.2 years in 2010 to 79.9 years in 2030, which is 1.8 years greater than the U.S. Social Security Administration projection and 1.5 years more than U.S. Census projection. For females, we estimate more modest gains in life expectancy at birth over the next twenty years from 80.5 years to 81.9 years, which is virtually identical to the Social Security Administration projection and 2.0 years less than U.S. Census projections. We show that these patterns are also likely to greatly affect the aging American population structure. We offer an easy-to-use approach so that researchers can include other sources of information and potentially improve on our forecasts too. Website See also: Mortality Studies

This statistic shows how many years earlier male and female smokers die on average as a results of smoking in the United States. It is estimated, that on average a woman who smokes will die 14.5 years earlier than a woman who doesn't.

This study contains data measuring the relationship between adult smoking behavior and lung cancer as well as other causes of death. The sample consists of nearly 300,000 mostly male veterans of the U.S. Armed Forces. These veterans served at some point between 1917 and 1940 and were identified in 1953 as holders of active government life insurance policies administered by the Veterans Administration. The files have response data from sample members on their smoking behavior and other tobacco use and their occupation and industry of employment in 1954 and 1957. Follow-up studies were conducted using data from the Veterans Administration to determine who among the sample members had died and the cause of death. These files include information on the study members' tobacco use (cigarette, cigar, and pipe smoking use and use of chewing tobacco), demographic characteristics, job characteristics, and date and cause of death. This study is often referred to as the "Dorn Study" as the study was begun by Dr. Harold Dorn.

More than half of males in China are current smokers and evidence from western countries tells us that an unprecedented number of smoking-attributable deaths will occur as the Chinese population ages. We used the China Lung Cancer Policy Model (LCPM) to simulate effects of computed tomography (CT)-based lung cancer screening in China, comparing the impact of a screening guideline published in 2015 by a Chinese expert group to a version developed for the United States by the U.S. Centers for Medicare & Medicaid Services (CMS). The China LCPM, built using an existing lung cancer microsimulation model, can project population outcomes associated with interventions for smoking-related diseases. After calibrating the model to published Chinese smoking prevalence and lung cancer mortality rates, we simulated screening from 2016 to 2050 based on eligibility criteria from the CMS and Chinese guidelines, which differ by age to begin and end screening, pack-years smoked, and years since quitting. Outcomes included number of screens, mortality reduction, and life-years saved for each strategy. We projected that in the absence of screening, 14.98 million lung cancer deaths would occur between 2016 and 2050. Screening with the CMS guideline would prevent 0.72 million deaths and 5.8 million life-years lost, resulting in 6.58% and 1.97% mortality reduction in males and females, respectively. Screening with the Chinese guideline would prevent 0.74 million deaths and 6.6 million life-years lost, resulting in 6.30% and 2.79% mortality reduction in males and females, respectively. Through 2050, 1.43 billion screens would be required using the Chinese screening strategy, compared to 988 million screens using the CMS guideline. In conclusion, CT-based lung cancer screening implemented in 2016 and based on the Chinese screening guideline would prevent about 20,000 (2.9%) more lung cancer deaths through 2050, but would require about 445 million (44.7%) more screens than the CMS guideline.

Data for cities, communities, and City of Los Angeles Council Districts were generated using a small area estimation method which combined the survey data with population benchmark data (2022 population estimates for Los Angeles County) and neighborhood characteristics data (e.g., U.S. Census Bureau, 2017-2021 American Community Survey 5-Year Estimates). Adults included in this indicator are current cigarette smokers. Current smokers are defined as adults who smoked at least 100 cigarettes in their lifetime and currently smoke.Tobacco use is a leading preventable cause of premature death and disability. Cities and communities can curb tobacco use by adopting policies to regulate tobacco retail and reduce exposure to secondhand smoke in outdoor public spaces, such as parks, restaurants, or in multi-unit housing.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

Cancer was responsible for around *** deaths per 100,000 population in the United States in 2023. The death rate for cancer has steadily decreased since the 1990’s, but cancer still remains the second leading cause of death in the United States. The deadliest type of cancer for both men and women is cancer of the lung and bronchus which will account for an estimated ****** deaths among men alone in 2025. Probability of surviving Survival rates for cancer vary significantly depending on the type of cancer. The cancers with the highest rates of survival include cancers of the thyroid, prostate, and testis, with five-year survival rates as high as ** percent for thyroid cancer. The cancers with the lowest five-year survival rates include cancers of the pancreas, liver, and esophagus. Risk factors It is difficult to determine why one person develops cancer while another does not, but certain risk factors have been shown to increase a person’s chance of developing cancer. For example, cigarette smoking has been proven to increase the risk of developing various cancers. In fact, around ** percent of cancers of the lung, bronchus and trachea among adults aged 30 years and older can be attributed to cigarette smoking. Other modifiable risk factors for cancer include being obese, drinking alcohol, and sun exposure.

Supporting figures and tables. Figure S1, Prevalence of smoking by age in 1950 birth cohort. Summary of shared input data (used by all 5 models) on smoking patterns for the US cohort born in 1950. Prevalence shown is estimated in the absence of lung cancer mortality. Version 1.0 of the Smoking History Generator (SHG) refers to published data through 2000 (Anderson, et al.), and version 1.5 supplies the 1950 birth cohort used for this analysis with data through 2009 and projections past 2009. Figure S2, Other-cause mortality, by smoking quintile, in 1950 birth cohort. These curves show the other-cause (non-lung cancer) mortality for never smokers and for current smokers by smoking quintile (Q, of cigarettes per day) for the male birth cohort of 1950, out to age 99. Former smokers are intermediate to current and never smokers. There is a similar plot for females. These were shared inputs used by all the models. Note that the rates of non-lung cancer mortality represent the US population, not trial (NLST or PLCO) participants. Figure S3, Prevalence of smoking by age in 1950 birth cohort. Output from one model showing smoking prevalence by age (calendar year), in a no screening scenario. Proportions of current/former/never smokers are in the presence of lung cancer mortality as well as all-cause mortality. Figure S4, Prevalence of smoking by age and pack-years in 1950 birth cohort. Output from one model showing smoking prevalence by category of pack-year and age. The proportion of the cohort by age that has accumulated the specified number of pack-years in the presence of lung cancer mortality and other-cause mortality. Figure S5, Incidence, no screening scenario, output from all models. For predictions past observed SEER data (over age 60) there are no observed data, but we used an age-period-cohort model to project past observed years (‘Projected’ red double line in plots below), which shows that the models are most divergent after age 85, when SEER data become most sparse. We cannot strictly compare incidence to that in prior birth cohorts since smoking patterns are dissimilar, and incidence varies by cohort. Figure S6, Mortality, no screening scenario, output from all models. The vertical line at age 90 indicates age at which all event counts (screens, deaths and deaths averted, and life years gained) were truncated for the analyses reported here. Although the models ranked programs similarly, there was variability in the total numbers of predicted lung cancer cases, deaths, and therefore lung cancer deaths prevented. The differences in rates in the no screening scenario in large part explains the predicted differences between models. The four models (E, F, S, and U) which use two-stage or multi-stage clonal expansion models have more similarly shaped curves than the fifth model (M), which does not use a clonal expansion component (see Table S1 in File S1). Figure S7, Results from all models analogous to Figure 1 in article. Figure S8, Results from all models analogous to Figure 2 in article. Figure S9, Secondary results with reduced operative candidacy with age. The dashed line denotes the efficiency frontier in the main analysis. Table S1, Additional Detail on Models. Table S2, Complete List of 120 Consensus Efficient Scenarios. Table S3, Comparison of Consensus Efficient Scenarios Identified Using Life-years Saved or Lung Cancer Deaths Avoided as Measure of Benefit. (DOCX)

Death rate has been age-adjusted by 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.Chronic obstructive pulmonary disease (COPD) refers to a group of diseases, including emphysema and chronic bronchitis, that create airflow blockages in the lungs. Exposure to tobacco smoke is an important risk factor for COPD. Cities and communities can take an active role in curbing tobacco use and reducing COPD by adopting policies to regulate tobacco retail; reducing exposure to secondhand smoke in outdoor public spaces, such as parks, restaurants, or in multi-unit housing; and improving access to tobacco cessation programs and other preventive services.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.