In 2019, China was the country with the highest share of deaths among males due to tobacco use worldwide. At that time, around ** 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.

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]

U.S. Tobacco Use Data

Prevalence and Trends by State

By Health [source]

About this dataset

This dataset provides insight into the prevalence and trends in tobacco use across the United States. By breaking down this data by state, you can see how tobacco has been used and changed over time. Smoking is a major contributor to premature deaths and health complications, so understanding historic usage rates can help us analyze and hopefully reduce those negative impacts. Drawing from the Behavioral Risk Factor Surveillance System, this dataset gives us an unparalleled look at both current and historical smoking habits in each of our states. With this data, we can identify high risk areas and track changes throughout the years for better health outcomes overall

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How to use the dataset

This dataset contains information on the prevalence and trends of tobacco use in the United States. The data is broken down by state, and includes percentages of smokers, former smokers, and those who have never smoked. With this dataset you can explore how smoking habits have changed over time as well as what regions of the country have seen more or less consistent smoking trends.

To begin using this dataset, you will first want to familiarize yourself with the columns included within it and their associated values. There is a “State” column that provides the US state for which each row refers to; there are also columns detailing percentages for those who smoke every day (Smoke Everyday), some days (Smoke Some Days), previously smoked (Former Smoker) and those who have never smoked (Never Smoked). The “Location 1” column indicates each geographic region that falls into one of either four US census divisions or eight regions based upon where each state lies in relation to one another.

Once you understand the data presented within these columns, there are a few different ways to begin exploring how tobacco use has changed throughout time including plotting prevalence data over different periods such as decades or specific years; compiling descriptive statistics such as percentiles or mean values; contrasting between states based on any relevant factors such as urban/rural population size or economic/political standing; and lastly looking at patterns developing throughout multiple years via various visualisations like box-and-whisker plots amongst other alternatives.

This wide set of possibilities makes this dataset interesting enough regardless if you are looking at regional differences across single points in time or long-term changes regarding national strategies around reducing nicotine consumption. With all its nuances uncovered hopefully your results can lead towards further research uncovering any aspect about smoking culture you may find fascinating!

Research Ideas

• Comparing regional and state-level smoking rates and trends over time.
• Analyzing how different demographics are affected by state-level smoking trends, such as comparing gender or age-based differences in prevalence and/or decreasing or increasing rates of tobacco use at the regional level over time.
• Developing visualization maps that show changes in tobacco consumption prevalence (and related health risk factors) by location on an interactive website or tool for public consumption of data insights from this dataset

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Open Database License (ODbL) v1.0 - You are free to: - Share - copy and redistribute the material in any medium or format. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices. - No Derivatives - If you remix, transform, or build upon the material, you may not distribute the modified material. - No additional restrictions - You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Columns

File: BRFSS_Prevalence_and_Trends_Data_Tobacco_Use_-_Four_Level_Smoking_Data_for_1995-2010.csv | Column name | ...

BackgroundTobacco smoking is a major risk factor for many diseases. We sought to quantify the burden of tobacco-smoking-related deaths in Asia, in parts of which men's smoking prevalence is among the world's highest.Methods and FindingsWe performed pooled analyses of data from 1,049,929 participants in 21 cohorts in Asia to quantify the risks of total and cause-specific mortality associated with tobacco smoking using adjusted hazard ratios and their 95% confidence intervals. We then estimated smoking-related deaths among adults aged ≥45 y in 2004 in Bangladesh, India, mainland China, Japan, Republic of Korea, Singapore, and Taiwan—accounting for ∼71% of Asia's total population. An approximately 1.44-fold (95% CI = 1.37–1.51) and 1.48-fold (1.38–1.58) elevated risk of death from any cause was found in male and female ever-smokers, respectively. In 2004, active tobacco smoking accounted for approximately 15.8% (95% CI = 14.3%–17.2%) and 3.3% (2.6%–4.0%) of deaths, respectively, in men and women aged ≥45 y in the seven countries/regions combined, with a total number of estimated deaths of ∼1,575,500 (95% CI = 1,398,000–1,744,700). Among men, approximately 11.4%, 30.5%, and 19.8% of deaths due to cardiovascular diseases, cancer, and respiratory diseases, respectively, were attributable to tobacco smoking. Corresponding proportions for East Asian women were 3.7%, 4.6%, and 1.7%, respectively. The strongest association with tobacco smoking was found for lung cancer: a 3- to 4-fold elevated risk, accounting for 60.5% and 16.7% of lung cancer deaths, respectively, in Asian men and East Asian women aged ≥45 y.ConclusionsTobacco smoking is associated with a substantially elevated risk of mortality, accounting for approximately 2 million deaths in adults aged ≥45 y throughout Asia in 2004. It is likely that smoking-related deaths in Asia will continue to rise over the next few decades if no effective smoking control programs are implemented.Please see later in the article for the Editors' Summary

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.

• Includes 46,209 cases where the role of tobacco in the death was coded as “definitely” or “probably,” and 102,552 where the role of tobacco was coded as “no.”Odds ratio estimates for demographics and vulnerably populations for tobacco-related deaths. (N = 148,761) *.

In 2023, there were around 12 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 2023, by age and tobacco use during pregnancy.

The share of total deaths in Kuwait caused by tobacco use as of 2017 was ***** percent. During this time, the total share of deaths in the Gulf Cooperation Council caused by non-communicable disease was **** percent.

Deaths related to smoking for Greater London. Deaths are expressed as the rate per 100,000 for the period 2005 to 2007. data sourced from the Guardian (http://www.guardian.co.uk/world-government-data/search?q=uk+smoking+in+2007&facet_year=2010) and data.gov.uk (http://data.london.gov.uk/datastore/package/deaths-smoking#). Boundary data is from OS Open Data which has been tweaked and augmented to have the ONS codes to join the two datasets (done in ArcGIS). GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2012-06-27 and migrated to Edinburgh DataShare on 2017-02-21.

Estimates are provided for populations age 45 y or older.aBecause of the small sample size in the current study for these populations, data for smoking prevalence rates were obtained from other sources: Bangladeshi men and women: [12], Taiwanese women: [19], and Korean women: [34].bPARs were estimated using HRs derived from all South Asian cohorts combined because of unstable HR estimates using Bangladeshi data alone.cMortality data for Taiwan were obtained from http://www.mohw.gov.tw/CHT/Ministry/Index.aspx.dPARs were estimated using weighted HRs and smoking prevalence of the study populations.Thus, the number of deaths attributable to smoking in these populations may not be equal to the sum of the numbers of deaths from the countries in the population areas. East Asia: mainland China, Taiwan, Singapore, Republic of Korea, and Japan. South Asia: Bangladesh and India. All populations: all seven countries/regions listed above.

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

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.

In 2019, there were around *** million deaths worldwide related to tobacco consumption. During the same year, drug use accounted for around *** thousand deaths worldwide. This statistic illustrates the number of substance use-related deaths worldwide in 2019.

Estimates are provided for populations age 45 y or older.aPARs were estimated using HRs derived from all South Asian cohorts combined because of unstable HR estimates using Bangladeshi data alone.bPARs were estimated using weighted HRs and smoking prevalence of the study populations.Thus, the number of deaths attributable to smoking in these populations may not be equal to the sum of the numbers of deaths from countries in the population areas. East Asia: mainland China, Taiwan, Singapore, Republic of Korea, and Japan. South Asia: Bangladesh and India. All populations: all seven countries/regions listed above.

It is projected that the prevalence of tobacco smoking will be 15.4 percent by 2025, a decrease from a prevalence of 27 percent in the year 2000. This statistic depicts the prevalence of tobacco smoking worldwide from 2000 to 2020 and projections for 2025.

Tobacco smoking causes cardiovascular diseases, lung disease, and various cancers. Understanding the population-based characteristics associated with smoking and the cause of death is important to improve survival. This study sought to evaluate the differential impact of smoking on cardiac or non-cardiac death according to age. Data from 514,866 healthy adults who underwent national health screening in South Korea were analyzed. The participants were divided into three groups: never-smoker, ex-smoker or current smoker according to the smoking status. The incidence rates and hazard ratios (HRs) of cardiac or non-cardiac deaths according to smoking status and age groups during the 10-year follow-up were calculated to evaluate the differential risk of smoking. Over the follow-up period, 6,192 and 24,443 cardiac and non-cardiac deaths had occurred, respectively. The estimated incidence rate of cardiac and non-cardiac death gradually increased in older age groups and was higher in current smokers and ex-smokers than that in never-smokers among all age groups. After adjustment of covariates, the HRs for cardiac death of current smokers compared to never-smokers were the highest in individuals in their 40’s (1.82; 95% CI, 1.45–2.28); this gradually decreased to 0.96 (95% CI, 0.67–1.38) in individuals >80 years. In contrast, the HRs for non-cardiac death peaked in individuals in their 50’s, (HR 1.69, 95% CI 1.57–1.82) and was sustained in those >80 years (HR 1.40, 95% CI 1.17–1.69). Ex-smokers did not show elevated risk of cardiac death compared to never-smokers in any age group, whereas they showed significantly higher risk of non-cardiac death in their 60’s and 70’s (HR, 1.29; 95% CI, 1.19–1.39; HR 1.22, 95% CI, 1.12–1.32, respectively). Acute myocardial infarction and lung cancer showed patterns similar to those of cardiac and non-cardiac death, respectively. Smoking was associated with higher relative risk of cardiac death in the middle-aged group and non-cardiac death in the older age group. Ex-smokers in the older age group had elevated risk of non-cardiac death. To prevent early cardiac death and late non-cardiac death, smoking cessation should be emphasized as early as possible.

Contains tables for smoking-related hospital admissions, smoking-related deaths, prescriptions to help people quit smoking and tobacco affordability and expenditure on tobacco.

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.

The Canadian Tobacco Use Monitoring Survey was conducted for Health Canada to provide data on tobacco use and related issues. The primary objective of the survey is to track changes in smoking status, especially for population most at risk, such as the 15-24 years olds. The survey will allow Health Canada to estimate smoking prevalence for age groups 15-24 and 25+ by province and by gender on a semi-annual basis. The survey is presented in three cycles: Cycle 1 - taken Feb-June 2000; Cycle 2 - taken July-Dec 2000; and Cycle Annual - combining both time periods. Each cycle contains two files; household data, and person data.