In 2019, China was the country with the highest share of deaths among males due to tobacco use worldwide. At that time, around 35 percent of all deaths among males in China could be attributed to tobacco use. This statistic shows the countries with the highest percentage of male deaths due to tobacco use worldwide in 2019.

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.

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.

Estimated 100,000 person-year incidence rates of all-cause death, cardiac death, and non-cardiac death according to their age and smoking status.

This report presents newly published information on smoking including: Smoking-related hospital admissions from NHS Digital's Hospital Episode Statistics (HES). Smoking-related deaths from Office for National Statistics (ONS) mortality statistics. Prescription items used to help people stop smoking from prescribing data held by NHS Prescription Services. Affordability of tobacco and expenditure on tobacco using ONS economic data. Two new years of data have been provided for hospital admissions (2018/19 and 2019/20) and deaths (2018 and 2019) and one year of data for prescribing (2018/19) and affordability and expenditure (2019). The report also provides links to information on smoking by adults and children drawn together from a variety of sources. Key facts cover the latest year of data available: Hospital admissions: 2019/20 Deaths: 2019 Prescriptions: 2019/20

In 2019, there were around two million deaths worldwide due to ischemic heart disease attributable to smoking. There were a further 6.5 million deaths from ischemic heart disease caused by other factors. This statistic shows the total number of smoking-attributable deaths from tobacco-related diseases worldwide in 2019.

2005-2009. SAMMEC - Smoking-Attributable Mortality, Morbidity, and Economic Costs. Smoking-attributable expenditures (SAEs) are excess health care expenditures attributable to cigarette smoking by type of service among adults ages 19 years of age and older.

For current version see: https://www.sandiegocounty.gov/content/sdc/hhsa/programs/phs/community_health_statistics/CHSU_Mortality.html#smoking

This dataset presents smoking attributable deaths for San Diego County by condition and overall categories for those 35 years of age and older.

2014-2016. For data by HHSA Region or archived years, please visit www.sdhealthstatistics.com

Methods: Fractions by the Centers for Disease Control, Smoking‐Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) System. http://www.ncbi.nlm.nih.gov/books/NBK294316/table/ch12.t4/?report=objectonly
Note: Deaths with unknown age or sex were not included in the analysis. Deaths were pulled using 2016 ICD 10 codes. Source: California Department of Public Health, Center for Health Statistics, Office of Health Information and Research, Vital Records Business Intelligence System (2016). Prepared by County of San Diego, Health & Human Services Agency, Public Health Services, Community Health Statistics Unit, 2019.

Note: COPD = chronic obstructive pulmonary disease. a - Other cancers consist of cancers of the lip, pharynx and oral cavity, esophagus, stomach, pancreas, larynx, cervix uteri (women), kidney and renal pelvis, bladder, liver, colon and rectum, and acute myeloid leukemia.
b - Other heart disease comprised of rheumatic heart disease, pulmonary heart disease, and other forms of heart disease.
c - Cerebrovascular diseases ICD-10 Codes: I60-I69 d - Other vascular diseases are comprised of atherosclerosis, aortic aneurysm, and other arterial diseases. e - Pulmonary diseases consists of pneumonia, influenza, emphysema, bronchitis, and chronic airways obstruction.
f - Prenatal conditions (All Ages) comprised of ICD-10 codes: K55.0, P00.0, P01.0, P01.1, P01.5, P02.0, P02.1, P02.7, P07.0–P07.3, P10.2, P22.0–P22.9, P25.0–P27.9, P28.0, P28.1, P36.0–P36.9, P52.0–P52.3, and P77 (Dietz et al. 2010).
g - Sudden Infant Death Syndrome ((All Ages) ICD-10 code R95

"BACKGROUND: The association between smoking and suicide is still controversial, particular for early life cigarette smoking exposure. Few studies have investigated this association in adolescents using population-based cohorts, and the relationship with second hand smoking (SHS) exposure has not been addressed.

METHODS AND FINDINGS: In this study, we followed a large population-based sample of younger people to investigate the association between smoking, SHS exposure and suicide mortality. Between October 1995 and June 1996, 162,682 junior high school students ages 11 to 16 years old living in a geographic catchment area in Taiwan were enrolled and then followed till December 2007 (1,948,432 person-years) through linkage to the National Death Certification System. Participants who were currently smoking at baseline had a greater than six-fold higher suicide mortality than those who did not smoke (29.5 vs. 4.8 per 100,000 person-years, p＜0.001) as well as higher natural mortality (33.7 vs. 10.3 per 100,000 person-years, p＜0.001). After controlling for gender, age, parental education, asthma, allergic rhinitis, and alcohol consumption, the adjusted hazard ratios for suicide were 3.69 (95% CI 1.85-7.39) in current smokers, and 1.47 (95% CI 0.94-2.30) and 2.83 (95% CI 1.54-5.20) respectively in adolescents exposed to SHS of 1-20 cigarettes and >20 cigarettes/per day. The estimated depression-adjusted odds ratio did not change substantially. The population attributable fractions for suicide associated with smoking and heavy SHS exposure (>20 cigarettes/per day) were 9.6% and 10.6%, respectively.

CONCLUSIONS: This study showed evidence of excess suicide mortality among young adults exposed to active or passive early life cigarette smoking."

This survey was designed primarily to obtain information on the smoking habits of decedents by examining death certificates and questionnaires mailed to death record informants. Smoking variables in this data collection include number of cigarettes smoked when the decedent smoked most, number smoked the year before death, number smoked three years before death, and cigar and pipe smoking occurrence three years before death. Demographic variables include marital status, family type, number of children, living arrangements, size of family, birth and death of the decedent, family income and family debt, and cause of death.

This statistic shows the relative risk of death before the age of 65 among smokers compared to those who have never smoked as of 2018, by the age of smokers when they quit smoking. According to the data, smokers that quit at age 22 had a relative risk of death of 1.6 before age 65 compared to a person who never smoked.

Data from the Global Burden of Disease (GBD) database, and other open databases. We analysed death and attributable economic costs for male smokers, as female smokers comprise only 2% in India. Cost-of-Illness model was used to estimate the economic costs attributable to smoking across all states of India.

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This dataset provides a detailed analysis of smoking trends worldwide, covering essential metrics such as:
- Total smokers and smoking prevalence rates
- Cigarette consumption and brand market share
- Tobacco taxation and smoking ban policies
- Smoking-related deaths and gender-based smoking patterns

Spanning data from 2010 to 2024, this dataset offers valuable insights for health research, policy evaluation, and data-driven decision-making.

📊 Column Descriptions

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 ---

🇬🇧 영국

Download the latest version of the Glossary and Methodology File

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.

This statistical report presents a range of information on smoking which is drawn together from a variety of sources. The report aims to present a broad picture of health issues relating to smoking in England and covers topics such as smoking prevalence, habits, behaviours and attitudes among adults and school children, smoking-related ill health and mortality and smoking-related costs. The topics covered include: Part 1: Smoking related ill health Part 2: Prescription items used to help people stop smoking Part 3: Smoking patterns in adults Part 4: Smoking patterns in children Part 5: Availability and affordability of tobacco Part 6: Behaviour and attitudes to smoking Each part provides an overview of the key findings on these topics, as well as providing links to sources of further information and relevant documents. This report contains data and information previously published by NHS Digital, Department of Health, the Office for National Statistics and Her Majesty's Revenue and Customs. The report also includes new analyses carried out by NHS Digital.

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.

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.