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.

From 1965 to 2022, 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.

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 | ...

United States US: Smoking Prevalence: Males: % of Adults data was reported at 24.600 % in 2016. This records a decrease from the previous number of 25.100 % for 2015. United States US: Smoking Prevalence: Males: % of Adults data is updated yearly, averaging 26.800 % from Dec 2000 (Median) to 2016, with 9 observations. The data reached an all-time high of 34.500 % in 2000 and a record low of 24.600 % in 2016. United States US: Smoking Prevalence: Males: % of Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Health Statistics. Prevalence of smoking, male is the percentage of men ages 15 and over who currently smoke any tobacco product on a daily or non-daily basis. It excludes smokeless tobacco use. The rates are age-standardized.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;

In 2022, Kentucky had the highest incidence of tobacco-associated cancer in the United States, with a rate of around 233 per 100,000 people. This graph shows the rate of tobacco-related cancers per 100,000 people in the United States in 2022, by state.

United States US: Smoking Prevalence: Total: % of Adults: Aged 15+ data was reported at 21.800 % in 2016. This records a decrease from the previous number of 22.300 % for 2015. United States US: Smoking Prevalence: Total: % of Adults: Aged 15+ data is updated yearly, averaging 23.900 % from Dec 2000 (Median) to 2016, with 9 observations. The data reached an all-time high of 31.400 % in 2000 and a record low of 21.800 % in 2016. United States US: Smoking Prevalence: Total: % of Adults: Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Health Statistics. Prevalence of smoking is the percentage of men and women ages 15 and over who currently smoke any tobacco product on a daily or non-daily basis. It excludes smokeless tobacco use. The rates are age-standardized.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;

County-level smoking data originating from the CDC and produced by Dwyer-Lindgren, Laura and Mokdad, Ali H. and Srebotnjak, Tanja and Flaxman, Abraham D. and Hansen, Gillian M. and Murray, Christopher JL— (2014), “Cigarette smoking prevalence in US counties: 1996-2012,” Population Health Metrics, 12, 5. Original file provided by the above authors available at https://goo.gl/tNbpsS

In 2022, a survey on tobacco dependence in the U.S. found nearly 70 percent of the smokers in the Midwest were interested in quitting, while 51 percent tried to quit smoking in the past year and 8.2 percent successfully stopped smoking. This statistic displays the percentage of U.S. adult smokers with interest in quitting, a past-year quit attempt, or recent successful cessation as of 2022, by region.

Forecast: Smoking Prevalence in the US 2024 - 2028 Discover more data with ReportLinker!

This report uses 2012 to 2014 National Survey on Drug Use and Health (NSDUH) data to percentages of past month cigarette use, average number of cigarettes smoked in the past month, prevalence of smoking cessation among adults with past year mental illness in comparison to adults with no past year mental illness.

Cigarette use intensity and quit intentions according to past month use (yes or no) of electronic cigarettes, 2011–2015.

Historical dataset showing U.S. smoking rate by year from 2000 to 2022.

This dataset provides prevalence estimates by county, year, and sex from 1996 to 2012.

Graph and download economic data for Expenditures: Tobacco Products and Smoking Supplies by Size of Consumer Unit: Five or More People in Consumer Unit (CXUTOBACCOLB0507M) from 1988 to 2023 about tobacco, consumer unit, supplies, expenditures, persons, and USA.

In 2022, a survey about tobacco dependence in the U.S. found that around 68 percent of smokers had an interest in quitting smoking. However, only around half of adults attempted to quit smoking during the previous year. This statistic displays the percentage of U.S. adult smokers with interest in quitting, a past-year quit attempt, or recent successful cessation as of 2022, by gender.

BackgroundElectronic cigarettes (e-cigarettes) may help cigarette smokers quit smoking, yet they may also facilitate cigarette smoking for never-smokers. We quantify the balance of health benefits and harms associated with e-cigarette use at the population level.Methods and findingsMonte Carlo stochastic simulation model. Model parameters were drawn from census counts, national health and tobacco use surveys, and published literature. We calculate the expected years of life gained or lost from the impact of e-cigarette use on smoking cessation among current smokers and transition to long-term cigarette smoking among never smokers for the 2014 US population cohort.ResultsThe model estimated that 2,070 additional current cigarette smoking adults aged 25–69 (95% CI: -42,900 to 46,200) would quit smoking in 2015 and remain continually abstinent from smoking for ≥7 years through the use of e-cigarettes in 2014. The model also estimated 168,000 additional never-cigarette smoking adolescents aged 12–17 and young adults aged 18–29 (95% CI: 114,000 to 229,000), would initiate cigarette smoking in 2015 and eventually become daily cigarette smokers at age 35–39 through the use of e-cigarettes in 2014. Overall, the model estimated that e-cigarette use in 2014 would lead to 1,510,000 years of life lost (95% CI: 920,000 to 2,160,000), assuming an optimistic 95% relative harm reduction of e-cigarette use compared to cigarette smoking. As the relative harm reduction decreased, the model estimated a greater number of years of life lost. For example, the model estimated-1,550,000 years of life lost (95% CI: -2,200,000 to -980,000) assuming an approximately 75% relative harm reduction and -1,600,000 years of life lost (95% CI: -2,290,000 to -1,030,000) assuming an approximately 50% relative harm reduction.ConclusionsBased on the existing scientific evidence related to e-cigarettes and optimistic assumptions about the relative harm of e-cigarette use compared to cigarette smoking, e-cigarette use currently represents more population-level harm than benefit. Effective national, state, and local efforts are needed to reduce e-cigarette use among youth and young adults if e-cigarettes are to confer a net population-level benefit in the future.

Weighted logistic regression coefficients for U.S. national ever and past 30-day smoking for 18–21 respondents, surveys pooled by modality.

Estimates of ever and past 30-day smoking for 18 to 21 year old respondents in six U.S. national surveys conducted between 2013 and 2014.

Historical dataset showing Virgin Islands (U.S.) smoking rate by year from N/A to N/A.

The high prevalence of dual use of cigarettes and smokeless tobacco is a unique tobacco use behavior in the US military population. However, dual tobacco use has rarely been addressed in active duty populations. We aimed to identify factors contributing to dual tobacco use among active duty service members from Army and Air Force. We also compared age at initiation, duration of use, and amount of use between dual users and exclusive users. The study included 168 exclusive cigarette smokers, 171 exclusive smokeless tobacco users, and 110 dual users. In stepwise logistic regression, smokeless tobacco use among family members (OR = 4.78, 95% CI = 2.05–11.13 for father use vs. no use, OR = 3.39, 95% CI = 1.56–7.37 for other relatives use vs. no use), and deployment history (serving combat unit vs. combat support unit: OR = 4.12, 95% CI = 1.59–10.66; never deployed vs. combat support unit: OR = 3.32, 95% CI = 1.45–7.61) were factors identified to be associated with dual use relative to exclusive cigarette smoking. Cigarette smoking among family members (OR = 1.96, 95% CI = 1.07–3.60 for sibling smoking), high perception of harm using smokeless tobacco (OR = 2.34, 95% CI = 1.29–4.26), secondhand smoke exposure (OR = 4.83, 95% CI = 2.73–8.55), and lower education (associated degree or some college: OR = 2.76, 95% CI = 1.01–7.51; high school of lower: OR = 4.10, 95% CI = 1.45–11.61) were factors associated with dual use relative to exclusive smokeless tobacco use. Compared to exclusive cigarette smokers, dual users started smoking at younger age, smoked cigarettes for longer period, and smoked more cigarettes per day. Our study addressed dual tobacco use behavior in military population and has implications to tobacco control programs in the military.