The smoking prevalence in the United States was forecast to continuously decrease between 2024 and 2029 by in total *** percentage points. After the ****** consecutive decreasing year, the smoking prevalence is estimated to reach ***** percent and therefore a new minimum in 2029. Shown is the estimated share of the adult population (15 years or older) in a given region or country, that smoke on a daily basis. According to the WHO and World bank, smoking refers to the use of cigarettes, pipes or other types of tobacco.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to *** countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the smoking prevalence in countries like Canada and Mexico.

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.

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;

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.

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;

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.

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

The Current Population Survey Tobacco Use Supplement data collection from May 2015 is comprised of responses from two sets of survey questionnaires, the basic Current Population Survey (CPS) and a Tobacco Use Supplement (TUS) survey. The TUS 2014-2015 Wave consists of three collections: July 2014, January 2015, and May 2015. The CPS, administered monthly, is the source of the official government statistics on employment and unemployment. From time to time, additional questions are included on health, education, and previous work experience. The Tobacco Use Supplement to the CPS is a National Cancer Institute sponsored survey of tobacco use that has been administered as part of the US Census Bureau's CPS approximately every 3-4 years since 1992-1993. Similar to other CPS supplements, the Tobacco Use Supplement was designed for both proxy and self-respondents. All CPS household members age 18 and older who had completed CPS core items were eligible for the supplement items. A new feature for the 2014-2015 cycle included random selection of self-interviewed respondents in larger households to reduce respondent burden. If the household had only 1 supplement eligible member then that person was selected for self-interview. If the household had only 2 supplement eligible members, then both of them were selected for self-interview. If the household had 3 or 4 supplement eligible members, then 2 of them were randomly selected for self-interview and the remaining were interviewed by proxy. If the household had more than 4 supplement eligible members, then 3 of them were randomly selected for self-interview and the rest of the eligible respondents were interviewed by proxy. Those selected for self-interview were eligible for the entire supplement, whereas proxy respondents were only eligible for an abbreviated interview. Occasionally, those persons to be interviewed by proxy, if available for self- interview, were interviewed directly but asked the abbreviated proxy path questions. Both proxy and self-respondents were asked about their smoking status and the use of other tobacco products. For self-respondents only, different questions were asked depending on their tobacco use status: for former/current smokers, questions were asked about type of cigarettes smoked, measures of addiction, attempts to quit smoking, methods and treatments used to quit smoking, and if they were planning to quit in the future. All self-respondents were asked about smoking policy at their work place and their attitudes towards smoking in different locations. Demographic information within this collection includes age, sex, race, Hispanic origin, marital status, veteran status, immigration status, educational background, employment status, occupation, and income.

In 2022, a survey on tobacco dependence in the U.S. found around 69 percent of smokers with chronic diseases not related to smoking were interested in quitting, while 55.6 percent tried to quit smoking in the past year and 8.7 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 chronic disease diagnosis.

Smoking rates for each Census Tract in Allegheny County were produced for the study “Developing small-area predictions for smoking and obesity prevalence in the United States.” The data is not explicitly based on population surveys or data collection conducted in Allegheny County, but rather estimated using statistical modeling techniques. In this technique, researchers applied the smoking rate of a demographically similar Census Tract to one in Allegheny County to compute a smoking rate.

Support for Health Equity datasets and tools provided by Amazon Web Services (AWS) through their Health Equity Initiative.

In the United States, tobacco smoking is associated with significant morbidity and premature mortality for individuals with serious mental illness (SMI) (e.g., schizophrenia, post-traumatic stress disorder, bipolar disorder, major depressive disorder). While many smokers with SMI wish to quit smoking, few are offered advice or treatments with demonstrated effectiveness in reducing tobacco dependence, primarily medication-assisted treatments. The overall aim of this randomized controlled trial was to test the effects of provider education (PE) (i.e. provider-level educational intervention focused on evidence-based smoking cessation treatment for those with SMI) and community health worker (CHW) support on the provision and utilization of smoking cessation treatment to those with SMI, and cessation rates for adults with SMI who smoke or use tobacco over a 2-year period. The objectives of this trial were to: Examine whether an intervention combining PE and CHW support would increase prescriber provision of advice and assistance to quit smoking, and improve tobacco cessation rates in smokers with SMI compared to usual care/treatment as usual (TAU) and compared to PE-only treatment Determine the effect of the combined PE+CHW intervention on patient-reported overall health compared to TAU and PE-only treatment Eligible individuals were recruited from two outpatient psychiatric service providers in the Boston, Massachusetts metropolitan area. Clinics where individuals received services were randomized into either the TAU condition or into the PE condition, where health care providers would receive additional education on first-line medications used to treat tobacco use disorder. Within clinics in the PE arm, individuals were further randomized into the community health worker (CHW) support condition (PE+CHW), where CHWs would assist participants with smoking cessation care access and provide community outreach and education, or no CHW support (PE-only). Enrolled participants (n=1,010) completed surveys on smoking/tobacco use at 3 timepoints: study baseline, 1 year post-randomization, and 2 years post-randomization. A mixed-methods evaluation of the trial was also conducted post-intervention, using an interactive convergent design. The aims of the evaluation were to identify barriers and facilitators to effective implementation; examine how primary care providers differed by performance and engagement level, and how experiences with the intervention compared across these groups; and identify anticipated barriers to implementing the intervention as discussed by stakeholders. Quantitative outcome and visit data from the trial were used in the evaluation. For the evaluation's qualitative component, interviews were conducted with purposively sampled community health workers, smoker participants, primary care providers, and other stakeholders in policy, payor, and clinical administration. Please note that the qualitative evaluation data are not available for this collection.

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.

Graph and download economic data for Expenditures: Tobacco Products and Smoking Supplies by Size of Consumer Unit: One Person Consumer Unit (CXUTOBACCOLB0502M) from 1984 to 2023 about tobacco, consumer unit, supplies, expenditures, personal, and USA.

United States CES: 25 to 34Yrs: AAE: Tobacco Products & Smoking Supplies data was reported at 305.000 USD in 2016. This records a decrease from the previous number of 364.000 USD for 2015. United States CES: 25 to 34Yrs: AAE: Tobacco Products & Smoking Supplies data is updated yearly, averaging 283.000 USD from Dec 1984 (Median) to 2016, with 33 observations. The data reached an all-time high of 378.000 USD in 2011 and a record low of 220.000 USD in 1985. United States CES: 25 to 34Yrs: AAE: Tobacco Products & Smoking Supplies data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.H040: Consumer Expenditure Survey: By Age Group.

United States CPI U: AW: GS: Tobacco & Smoking Products (TS) data was reported at 0.693 % in 2017. This records an increase from the previous number of 0.665 % for 2016. United States CPI U: AW: GS: Tobacco & Smoking Products (TS) data is updated yearly, averaging 0.818 % from Dec 1997 (Median) to 2017, with 21 observations. The data reached an all-time high of 1.402 % in 2001 and a record low of 0.665 % in 2016. United States CPI U: AW: GS: Tobacco & Smoking Products (TS) data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.I011: Consumer Price Index: Urban: Weights (Annual).

In 2022, the lowest incidence of tobacco-associated cancer in the United States was among Asians and Pacific Islanders, with a rate of around 122 per 100,000 people. This graph shows the rate of tobacco-related cancers per 100,000 people in the United States in 2022, by race and ethnicity.

This data collection is comprised of responses from two sets of survey questionnaires, the basic Current Population Survey (CPS) and a survey administered as a supplement to the May 2006 questionnaire on the topic of tobacco use in the United States. The Tobacco Use Supplement (TUS), sponsored by the National Cancer Institute and the Centers for Disease Control and Prevention, was also administered in August 2006 (ICPSR 24782) and January 2007 (ICPSR 24783). These three supplements comprise the 2006-2007 waves of TUS data.The basic CPS, administered monthly, collects labor force data about the civilian noninstitutional population living in the United States. Moreover, the CPS provides current estimates of the economic status and activities of this population which includes estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment. Data from the CPS are provided for the week prior to the administration of the survey.The TUS -- like most CPS supplements -- was designed to be a proxy response supplement, meaning a single respondent could provide answers for all eligible household members, provided the respondent was a household member 15 years of age or older. Unique to the TUS design were also a set of self-respondent supplement questions. All household members age 15 years and older who had completed the basic CPS core items were eligible for the May 2006 supplement items. Beginning in August 2006, 15-17 year old respondents were phased out of the TUS and they were entirely omitted from the January 2007 sample due to Census Bureau budget constraints.The TUS consisted of items PEA1 through SINTTP. Self-respondents were eligible for the entire supplement, whereas proxy respondents were only eligible for certain items. Information was collected from proxies on topics such as smoking status (items PEA1-PEA3) and the use of other tobacco-related products, such as pipes, cigars, chewing tobacco, and snuff (items PEAJ1A1-PEAJ1A4 and PEJ2A1-PEJSA4).In addition to these smoking and other tobacco use status questions, self-respondents were queried on the following topics depending on their smoking/tobacco use status (i.e., every day, some days, or former cigarette smokers and/or users of other non-cigarette tobacco products): Smoking history Current cigarette smoking prevalence and consumption Type of cigarettes smoked Price of last pack/carton of cigarettes purchased and state of purchase Medical and dental advice to quit smoking Attempts and intentions to quit smoking cigarettes and/or other forms of tobacco use Awareness of 1-800-QUIT-NOW Workplace smoking policies and smoking rules in the home Attitudes toward smoking in public places Another generally unique feature to the 2006-2007 TUS-CPS was the administration of questions to former smokers on their previous level of addiction, use of quitlines, and advice from health professionals. This feature enables comparisons between characteristics of former smokers (or successful quitters) and current smokers attempting to quit.Demographic information collected include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, family relationship, occupation, and income.

Comprehensive dataset containing 1 verified Smokers Paradise locations in Maryland, United States with complete contact information, ratings, reviews, and location data.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Tobacco and Smoking Products in U.S. City Average (CUSR0000SEGA) from Jan 1986 to Aug 2025 about tobacco, urban, production, consumer, CPI, inflation, price index, indexes, price, and USA.