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.

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.

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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

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, 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.

An analysis of tobacco-related deaths in the City of Austin by demographic. Includes visualizations, examples, and statistics.

BR: Prevalence of Current Tobacco Use: Females: % of Female Adults data was reported at 8.900 % in 2022. This records a decrease from the previous number of 9.100 % for 2021. BR: Prevalence of Current Tobacco Use: Females: % of Female Adults data is updated yearly, averaging 12.100 % from Dec 2000 (Median) to 2022, with 8 observations. The data reached an all-time high of 18.300 % in 2000 and a record low of 8.900 % in 2022. BR: Prevalence of Current Tobacco Use: Females: % of Female Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Brazil – Table BR.World Bank.WDI: Social: Health Statistics. The percentage of the female population ages 15 years and over who currently use any tobacco product (smoked and/or smokeless tobacco) on a daily or non-daily basis. Tobacco products include cigarettes, pipes, cigars, cigarillos, waterpipes (hookah, shisha), bidis, kretek, heated tobacco products, and all forms of smokeless (oral and nasal) tobacco. Tobacco products exclude e-cigarettes (which do not contain tobacco), “e-cigars”, “e-hookahs”, JUUL and “e-pipes”. The rates are age-standardized to the WHO Standard Population.;World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).;Weighted average;This is the Sustainable Development Goal indicator 3.a.1 [https://unstats.un.org/sdgs/metadata/]. Previous indicator name: Smoking prevalence, females (% of adults) The previous indicator excluded smokeless tobacco use, while the current indicator includes it. The indicator name and definition were updated in December, 2020.

This is a source dataset for a Let's Get Healthy California indicator at https://letsgethealthy.ca.gov/. Adult smoking prevalence in California, males and females aged 18+, starting in 2012. Caution must be used when comparing the percentages of smokers over time as the definition of ‘current smoker’ was broadened in 1996, and the survey methods were changed in 2012. Current cigarette smoking is defined as having smoked at least 100 cigarettes in lifetime and now smoking every day or some days. Due to the methodology change in 2012, the Centers for Disease Control and Prevention (CDC) recommend not conducting analyses where estimates from 1984 – 2011 are compared with analyses using the new methodology, beginning in 2012. This includes analyses examining trends and changes over time. (For more information, please see the narrative description.) The California Behavioral Risk Factor Surveillance System (BRFSS) is an on-going telephone survey of randomly selected adults, which collects information on a wide variety of health-related behaviors and preventive health practices related to the leading causes of death and disability such as cardiovascular disease, cancer, diabetes and injuries. Data are collected monthly from a random sample of the California population aged 18 years and older. The BRFSS is conducted by Public Health Survey Research Program of California State University, Sacramento under contract from CDPH. The survey has been conducted since 1984 by the California Department of Public Health in collaboration with the Centers for Disease Control and Prevention (CDC). In 2012, the survey methodology of the California BRFSS changed significantly so that the survey would be more representative of the general population. Several changes were implemented: 1) the survey became dual-frame, with both cell and landline random-digit dial components, 2) residents of college housing were eligible to complete the BRFSS, and 3) raking or iterative proportional fitting was used to calculate the survey weights. Due to these changes, estimates from 1984 – 2011 are not comparable to estimates from 2012 and beyond. Center for Disease Control and Policy (CDC) and recommend not conducting analyses where estimates from 1984 – 2011 are compared with analyses using the new methodology, beginning in 2012. This includes analyses examining trends and changes over time.Current cigarette smoking was defined as having smoked at least 100 cigarettes in lifetime and now smoking every day or some days. Prior to 1996, the definition of current cigarettes smoking was having smoked at least 100 cigarettes in lifetime and smoking now.

This dataset contains three smoking related indicators. Rates of self reported four-week smoking quitters Smoking quit rates per 100,000 available from the HNA. - These quarterly reports present provisional results from the monitoring of the NHS Stop Smoking Services (NHS SSS) in England. This report includes information on the number of people setting a quit date and the number who successfully quit at the 4 week follow-up. Data for London presented with England comparator. PCT level data available from NHS. Number of Deaths Attributable to Smoking per 100,000 population by borough Deaths attributable to smoking, directly age-sex standardised rate for persons aged 35 years +. Causes of death considered to be related to smoking are: various cancers, cardiovascular and respiratory diseases, and diseases of the digestive system. Numbers of adults smoking by borough Prevalence of smoking among persons aged 18 years and over. - Population who currently smoke, are ex-smokers, or never smoked by borough. This includes cigarette, cigar or pipe smokers. Data by age is also provided for London with a UK comparator. Relevant links: http://www.hscic.gov.uk/Article/1685 http://www.apho.org.uk/default.aspx?QN=HP_DATATABLES

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 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.

Note 28/06/11: A number of errors have been identified in Tables 4.4 and 4.5 (Pages 87 and 88) of Statistics on Smoking: England, 2010. These errors also affect the corresponding tables in the accompanying Excel workbook as well as the commentary in a number of sections of the pdf report. Please see the errata note for further information and corrected figures. The NHS IC apologises for any inconvenience this may have caused. Note 18/09/10: Please note: an amended version of this report was made available on 8 September 2010 to correctly include the National Statistics logo on the front cover. No other changes were actioned. Note 18/08/10: As a result of detailed validations carried out during production of the Statistics on Smoking: England, 2010 report a number of minor issues were identified in the previous edition of the report Statistics on Smoking: England, 2009. These issues concern tables 4.4 - 4.8 in the 2009 report which present information on smoking related hospital admissions and deaths. The equivalent tables in the 2010 report, 4.3 - 4.7, include detailed footnotes which explain the issues and provide correct figures for the 2009 report where possible. The issue that concerns the International Classification of Diseases (ICD-10) diagnosis code for hip fracture also affects previous editions of the report; please refer to the main Smoking webpage for detail. Summary: 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 habits, behaviours and attitudes among adults (aged 16 and over) and school children (aged 11 to 15), smoking-related ill health and mortality, affordability of tobacco and smoking-related costs. This report combines data from different sources in a user-friendly format. It contains data and information previously published by the NHS Information Centre, Department of Health, the Office for National Statistics and Her Majesty's Revenue and Customs. The report also includes new analyses carried out by the NHS Information Centre.

In 2018, there were more than 371 million cigarette smokers and 12. 6 million electronic cigarette users, with 340.2 million non-smokers exposed to secondhand smoke (SHS) in China, which resulted in heavy tobacco-attributable disease burden. According to the definition by the Global Burden of Disease Study 2017 (GBD 2017), tobacco is a level 2 risk factor that consists of three sublevel risk factors, namely, smoking, SHS, and chewing tobacco. In this study, we aimed to evaluate the trends in deaths and disability-adjusted life years (DALYs) attributable to tobacco, smoking, SHS, and chewing tobacco by sex in China from 1990 to 2017 and to explore the leading causes of tobacco-attributable deaths and DALYs using data from the GBD 2017. From 1990 to 2017, the tobacco-attributable death rates per 100,000 people decreased from 75.65 [95% uncertainty interval (95% UI) = 56.23–97.74] to 70.90 (95% UI = 59.67–83.72) in females and increased from 198.83 (95% UI = 181.39–217.47) to 292.39 (95% UI = 271.28–313.76) in males. From 1990 to 2017, the tobacco-attributable DALY rates decreased from 2209.11 (95% UI = 1678.63–2791.91) to 1489.05 (95% UI = 1237.65–1752.57) in females and increased from 5650.42 (95% UI = 5070.06–6264.39) to 6994.02 (95% UI = 6489.84–7558.41) in males. In 2017, the tobacco-attributable deaths in China were concentrated on chronic obstructive pulmonary disease, ischemic heart disease, lung cancer, and stroke. The focus of tobacco control for females was SHS in 1990, whereas smoking and SHS were equally important for tobacco control in females in 2017. Increasing tobacco taxes and prices may be the most effective and feasible measure to reduce tobacco-attributable disease burdens.

The report looks at addiction and dependence in the areas of illegal drugs, alcohol and tobacco in Austria. The aim is to answer the following questions: How many and which people are affected by addiction and which consumption behaviour prevails? The report combines numerous data sources such as data from treatment facilities and statistics on causes of death.
https://jasmin.goeg.at/1925/2/Epidemiologiebericht%20Sucht_2021_Annex_bf.pdf

The consultation on the Lifestyles compendia reports has now closed. Please see the related link at the bottom of this page for more information. 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. This report contains data and information previously published by the Health and Social Care Information Centre (HSCIC), Department of Health, the Office for National Statistics and Her Majesty's Revenue and Customs. The report also includes new analyses carried out by the Health and Social Care Information Centre.

This project provides a comprehensive analysis of global smoking data over the past 100 years, from 1924 to 2023. The primary goal is to explore historical trends, impacts on public health, and specific focus on youth smoking trends. The dataset includes various metrics related to smoking habits, population percentages, related deaths, healthcare costs, anti-smoking campaigns, legislation strength, and more.

Objectives:

• Analyze Historical Trends: Identify and visualize key trends in smoking habits and related statistics over the last century.

• Compare Key Metrics by Country: Provide a comparative analysis of smoking-related metrics across different countries.

• Focus on Youth Smoking Trends: Examine trends in youth smoking percentages and analyze their implications.

Statistics Canada has conducted smoking surveys on an ad hoc basis on behalf of Health Canada since the 1960s. These surveys have been done as supplements to the Canadian Labour Force Survey and as Random Digit Dialling telephone surveys. In February 1994, a change in legislation was passed which allowed a reduction in cigarette taxes. Since there was no survey data from immediately before this legislative change took place, it was difficult for Health Canada or other interested analysts to measure exactly the impact of the change. As Health Canada wants to be able to monitor the consequences of legislative changes and anti-smoking policies on smoking behaviour, the Canadian Tobacco Use Monitoring Survey was designed to provide Health Canada and its partners/stakeholders with continual and reliable data on tobacco use and related issues. Since 1999, two CTUMS files have been released every year: a file with data collected from February to June and a file with the July to December data. Additionally, there is also a yearly summary. This Public Use Microdata File contains 3 cycles of data including 2 files per cycle. One for Households and one for Persons. Cycle 1: Represent, February to June data Cycle 2: Represent, July to December data Annual: February to December data. This file covers identical questions in both cycle. Geography level of data is Cda, Provincial - Montreal & Toronto were the only two target CMA's The primary objective of the survey is to provide a continuous supply of smoking prevalence data against which changes in prevalence can be monitored. This objective differs from that of the National Population Health Survey (NPHS) which collects smoking data from a longitudinal sample to measure which individuals are changing their smoking behaviour, the possible factors which contribute to change, and the possible risk factors related to starting smoking and smoking duration. Because the NPHS collects data every two years and releases the data about a year after completing the collection cycle, it does not meet Health Canada’s need for continuous coverage in time, rapid delivery of data, or sufficient detail of the most at-risk populations, namely 15-24 year olds. The Canadian Tobacco Use Monitoring Survey allows Health Canada to look at smoking prevalence by province-sex-age group, for age groups 15-19, 20-24, 25-34, 35-44 and 45+ on a semi-annual basis.