Annual data on the proportion of adults in Great Britain who smoke cigarettes, cigarette consumption, the proportion who have never smoked cigarettes and the proportion of smokers who have quit by sex and age over time.

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 data shows the percentage of adults (age 18 and over) who are current smokers.

Smoking is the single biggest cause of preventable death and illnesses, and big inequalities exist between and within communities. Smoking is a major risk factor for many diseases, such as lung cancer, chronic obstructive pulmonary disease (COPD, bronchitis and emphysema) and heart disease. It is also associated with cancers in other organs.

Smoking is a modifiable lifestyle risk factor. Preventing people from starting smoking is important in reducing the health harms and inequalities.

This data is based on the Office for National Statistics (ONS) Annual Population Survey (APS). In this dataset particularly at district level there may be inherent statistical uncertainty in some data values. Thus as with many other datasets, this data should be used together with other data and resources to obtain a fuller picture.

Data source: Public Health England, Public Health Outcomes Framework (PHOF) indicator 2.14. This data is updated annually.

This dataset contains two data files: 1) Adult cigarette use prevalence and 2) Adult tobacco use prevalence in California. Tobacco use includes cigarettes, cigars, little cigars or cigarillos, pipe tobacco, smokeless tobacco (e.g. chew, snuff, snus), hookah, or electronic smoking devices (e.g. e-cigarettes, vape pens, pod mods). See the individual file description for more information on each data file. 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, including current cigarette and tobacco usage. Data are collected monthly from a random sample of the California population aged 18 years and older. The BRFSS has been conducted since 1984 by the California Department of Public Health in collaboration with the Centers for Disease Control and Prevention (CDC).

Comparing the *** selected regions regarding the smoking prevalence , Myanmar is leading the ranking (***** percent) and is followed by Serbia with ***** percent. At the other end of the spectrum is Ghana with **** percent, indicating a difference of ***** percentage points to Myanmar. 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).

This data shows the percentage of adults (age 18 and over) who are current smokers. Smoking is the single biggest cause of preventable death and illnesses, and big inequalities exist between and within communities. Smoking is a major risk factor for many diseases, such as lung cancer, chronic obstructive pulmonary disease (COPD, bronchitis and emphysema) and heart disease. It is also associated with cancers in other organs. Smoking is a modifiable lifestyle risk factor. Preventing people from starting smoking is important in reducing the health harms and inequalities. This data is based on the Office for National Statistics (ONS) Annual Population Survey (APS). The percentage of adults is not age-standardised. In this dataset particularly at district level there may be inherent statistical uncertainty in some data values. Thus as with many other datasets, this data should be used together with other data and resources to obtain a fuller picture. Data source: Office for Health Improvement and Disparities (OHID) Public Health Outcomes Framework (PHOF) indicator 92443 (Number 15). This data is updated annually.

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 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.

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.

In 2020, over a quarter of China’s population aged 15 years and older were tobacco users. The share of tobacco users in the general population has been on a downward trend in the past decade, especially among male adults.

An important source of profit and tax China has one of the world's most important tobacco markets. In 2021, the country's tobacco sector contributed more than 1.3 trillion yuan in profits and tax revenue, while creating many opportunities and employment along the value chain. Despite persistent calls for a reduction in the use of cigarettes in the country, China's tobacco market is still expanding. In recent years, e-cigarettes have also gained popularity in China, particularly appealing to younger smokers.

Health risks associated with tobacco use Tobacco use has long-lasting and substantial health implications, including an increased risk of cancer and cardiovascular diseases. As a result, smoking has emerged as one of the most severe threats to public health in China, further straining the country's already under-resourced healthcare system. To reduce smoking and its impact on the country's population, several tobacco control legislations and rules are widely implemented in China, including bans on smoking in certain public spaces and prohibitions on tobacco advertisements.

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;

Decrease the percentage of adults who smoke cigarettes from 26.1% in 2011 to 18% by 2018.

Japan JP: Smoking Prevalence: Males: % of Adults data was reported at 33.700 % in 2016. This records a decrease from the previous number of 34.700 % for 2015. Japan JP: Smoking Prevalence: Males: % of Adults data is updated yearly, averaging 37.700 % from Dec 2000 (Median) to 2016, with 9 observations. The data reached an all-time high of 52.500 % in 2000 and a record low of 33.700 % in 2016. Japan JP: 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 Japan – Table JP.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;

2011–2023. The tobacco disparities dashboard data utilized the Behavioral Risk Factor Surveillance System (BRFSS) data to measure cigarette smoking disparities by age. The disparity value is the relative difference in the cigarette smoking prevalence among adults 18 and older in a focus group divided by the cigarette smoking prevalence among adults 18 and older in a reference group. A disparity value above 1 indicates that adults in the focus group smoke cigarettes at a higher rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value below 1 indicates that adults in the focus group smoke cigarettes at a lower rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value of 1 means there is no relative difference in the rate of adults who smoke cigarettes for the two groups compared.

Turkey TR: Smoking Prevalence: Total: % of Adults: Aged 15+ data was reported at 27.200 % in 2016. This records a decrease from the previous number of 27.700 % for 2015. Turkey TR: Smoking Prevalence: Total: % of Adults: Aged 15+ data is updated yearly, averaging 29.500 % from Dec 2000 (Median) to 2016, with 9 observations. The data reached an all-time high of 38.400 % in 2000 and a record low of 27.200 % in 2016. Turkey TR: 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 Turkey – Table TR.World Bank.WDI: 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;

Portugal PT: Smoking Prevalence: Males: % of Adults data was reported at 30.000 % in 2016. This records a decrease from the previous number of 30.400 % for 2015. Portugal PT: Smoking Prevalence: Males: % of Adults data is updated yearly, averaging 31.600 % from Dec 2000 (Median) to 2016, with 9 observations. The data reached an all-time high of 37.600 % in 2000 and a record low of 30.000 % in 2016. Portugal PT: 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 Portugal – Table PT.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;

This report uses 2004 to 2010 National Survey on Drug Use and Health (NSDUH) to assess past month cigarette use among adolescents aged 12 to 17 and young adults aged 18 to 25 and the number of cigarettes smoked among daily smokers in these populations. Results are shown by year.

This is historical data. The update frequency has been set to "Static Data" and is here for historic value. Updated 8/14/2024.

Adults are defined as 18 years of age and older. The CDC defines a "Current Smoker" as an adult who has smoked at least 100 cigarettes (5 packs) in their lifetime and currently smokes either "Every Day" or "Some Days." BRFSS data methodology changed in 2011; therefore, 2011 and after is not comparable to 2010 data and before.

This data package, titled Data from: Cross-sectional personal network analysis of adult smoking in rural areas, includes several files. First, there are annonymized raw data files in .rds file format (ego_data.rds & alter_data.rds). Second, there is the R code that allow the replication of various statistical analyses. Interested parts may consult the R code as .pdf file format (Supplementary_Material_R_Code.pdf), .Rmd file format (that can be run to create the .pdf file format) and the .R file format (that can be accesed with R and RStudio). Moreover, the labels files are useful for recreating the Supplementary Material pdf file.

Readers should know that this dataset corresponds to the study (paper) Cross-sectional personal network analysis of adult smoking in rural areas.

The ego_data.rds file includes 20 variables by 76 observations (respondents) while the alter_data.rds file includes 46 variables by 1681 observations (social contacts). We collected this information by deploying a personal network analysis research design. Initially, we interviewed 83 respondents (dubbed egos). Due to missing data, we kept in the analysis 76 egos and dropped seven respondents. We recruited the respondents using a link-tracining sampling framework. We started from a number of six seeds. We interviewed the seeds then we asked them to recommend other people in the study. We continued in a referee-referral fashion until 83 interviews were completed. The study was performed in a small rural Romanian community (4124 residents): Lerești (Argeș county).

Our study was carried out in accordance with the recommendations, relevant guidelines, and regulations (specifically, those provided by the Romanian Sociologists Society, i.e., the professional association of Romanian sociologists). The research was performed in accordance with the Declaration of Helsinki. The research protocol was approved by a named institutional/licensing committee. Specifically, the Ethics Committee of the Center for Innovation in Medicine (InoMed) reviewed and approved all these study procedures (EC-INOMED Decision No. D001/09-06-2023 and No. D001/19-01-2024). All participants gave written informed consent. The privacy rights of the study participants were observed. The authors did not have access to information that could identify participants. Face-to-face interviews were collected between September 13 – 23, 2023, in Lerești, Romania. After each interview, information that could identity the participants were anonymized. Before conducting the interview, we provided each participant with a dossier containing informative materials about the project's objectives, how the data would be analyzed and reported, and their participation rights (e.g., the right to withdraw from the project at any time, even after the interview was completed). All study participants gave their written informed consent prior to enrolment in the study.

The variables in the ego_data.rds file are as follows:

(1) "networkCanvasEgoUUID" (unique alpha numeric code for each observation);

(2) "ego_age" (the age of each study participant);

(3) "ego_age.cen" (the age of each study participant, centered);

(4) "ego_educ_b" (the education of each ego, binary);

(5) "ego_educ_f" (the education of each ego, educational achievement);

(6) "ego_marital.s_f" (the marital status of each ego);

(7) "ego_occupation.cat2_f" (the occupation of each ego);

(8) "ego_occupation_b" (the occupation of each ego, unemployed vs employed);

(9) "ego_relstatus_b" (whether the ego is in a relationship or not);

(10) "ego_sex_f" (the sex of the ego assigned at birth; male & female);

(11) "ego_sex_n" (the sex of the ego assigned at birth; 0 = male & 1 = female);

(12) "ego_smk_status_b1" (smoking status: 1 smoking, 0 others);

(13) "ego_smk_status_b2" (smoking status: 1 former smoker, 0 others);

(14) "ego_smk_status_b3" (smoking status: 1 not a smoker, 0 others);

(15) "ego_smkstatus_f" (smoking status: former smoker, never-smoker, non-smoker (smoked too little), occasional smoker, smoker);

(16) "ego_smoking_3cat" (smoking status: non-smoker, former smoker, smoker);

(17) "net.size" (number of social contacts, alters, that were elicited by an ego);

(18) "net.components" (number of strong components in the personal network);

(19) "net.deg.centralization" (personal network degree centralization);

(20) "net.density" (personal network density).

The variables in the alter_data.rds file are as follows:

(1) "alter_age" (the age of the alter);

(2) "alter_age.cen" (the age of the alter - centered);

(3) "alter_btw" (alter's betweenness score);

(4) "alter_btw.cen" (alter's betweenness score - centered);

(5) "alter_deg" (alter's degree score);

(6) "alter_deg.cen" (alter's degree score - centered);

(7) "alter_educ_b" (alter's education);

(8) "alter_educ_f" (alter's education);

(9) "alter_marital.s_f" (alter's marital status);

(10) "alter_relstatus_b" (alter's marital status - binary variable);

(11) "alter_sex_f" (alter's sex assigned at birth);

(12) "alter_sex_n" (alter's sex assigned at birth; 1 - female; 0 - male);

(13) "alter_smk_status_b1" (alter's smoking status; 1 smoker, 0 others);

(14) "alter_smk_status_b2" (alter's smoking status; 1 former smoker, 0 others);

(15) "alter_smk_status_b3" (alter's smoking status; 1 non-smoker, 0 others);

(16) "alter_smoking_3cat" (alter's smoking status: three categories - smoker, non-smoker, former smoker);

(17) "assortativity_score_fsmoker" (assortativity score for alter, former smoker);

(18) "assortativity_score_nsmoker" (assortativity score for alter, non-smoker);

(19) "assortativity_score_smoker" (assortativity score for alter, smoker);

(20) "ego.alter_meet_f" (ego's meeting frequency with alter);

(21) "ego_alter_meet_b" (ego's meeting frequency with alter, binary variable);

(22) "ego.alter_meet_n" (ego's meeting frequency with alter, numerical codes);

(23) "alter_rel.w.ego_f" (type of alters in an ego's network);

(24) "networkCanvasUUID" (alpha numeric code for alter);

(25) "networkCanvasEgoUUID" (alpha numeric code for ego);

(26) "ego_smkstatus_f" (smoking status: former smoker, never-smoker, non-smoker (smoked too little), occasional smoker, smoker);

(27) "ego_smoking_3cat" (three categories, smoking status: former smoker, non-smoker, smoker);

(28) "ego_type_fsmk" (former smoking egos by type of ego-alter relationship);

(29) "ego_type_nsmk" (non smoking egos by type of ego-alter relationship);

(30) "ego_type_smk" (smoking egos by type of ego-alter relationship);

(31) "ego_sex_f" (ego's sex, binary);

(32) "ego_sex_n" (ego's sex, numerical code, 1 female, 0 male);

(33) "ego_educ_b" (ego's education, binary variable)

(34) "ego_age" (ego's age)

(35) "ego_age.cen" (ego's age, centered)

(36) "ego_relstatus_b" (ego's marital status, binary variable)

(37) "ego_occupation_b" (ego's employment status, binary variable)

(38) "net.components" (number of strong components in the personal network)

(39) "net.deg.centralization" (degree centralization score in the personal networ)

(40) "net.density" (density score in the personal network)

(41) "prop_fsmokers" (proportion of former smokers in the personal network - alters)

(42) "prop_fsmokers.cen" (proportion of former smokers in the personal network, centered- alters)

(43) "prop_nsmokers" (proportion of non-smokers in the personal network- alters)

(44) "prop_nsmokers.cen" (proportion of non-smokers in the personal network, centered- alters)

(45) "prop_smokers" (proportion of smokers in the personal network- alters)

(46) "prop_smokers.cen" (proportion of smokers in the personal network, centered- alters)