📊

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

The global number of smokers in was forecast to continuously increase between 2024 and 2029 by in total **** million individuals (+**** percent). After the ******** consecutive increasing year, the number of smokers is estimated to reach *** billion individuals and therefore a new peak in 2029. Shown is the estimated share of the adult population (15 years or older) in a given region or country, that smoke. According to the WHO and World bank, smoking refers to the use of cigarettes, pipes or other types of tobacco, be it on a daily or non-daily basis.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 number of smokers in countries like Caribbean and Africa.

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 | ...

According to the data, it is projected that the prevalence of tobacco smoking among those living in Africa will decrease from around 14.5 percent in 2000 to 7.4 percent in 2025. This statistic depicts the prevalence of tobacco smoking worldwide from 2000 to 2020 and projections for 2025, by region.

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).

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;

project use R for graph :

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Tobacco smoking stands as a significant global health crisis, affecting millions worldwide and leading to severe health complications and premature deaths. This issue has persisted for decades, with an estimated 100 million people succumbing prematurely due to smoking-related causes throughout the 20th century, predominantly in affluent nations. However, a decline in the global smoking rate signals a positive shift in global health, potentially enabling millions to enjoy longer, healthier lives.

Annually, smoking is responsible for approximately 8 million premature deaths. These figures highlight the urgent need for effective measures to combat this epidemic. The World Health Organization (WHO) and the Institute for Health Metrics and Evaluation (IHME) provide critical data on the mortality rates associated with tobacco use, emphasizing the gravity of the situation. According to the latest WHO estimates as of November 2023, over 8 million people die each year due to tobacco use, with more than 7 million of these deaths directly linked to smoking. Additionally, around 1.3 million nonsmokers die from exposure to second-hand smoke. The IHME's Global Burden of Disease study further supports these findings, estimating that 8.7 million deaths annually can be attributed to tobacco use, including 7.7 million from smoking and 1.3 million from second-hand smoke exposure, alongside an additional 56,000 deaths from chewing tobacco.

The impact of smoking on mortality is disproportionately higher among men, who account for 71% of premature deaths due to smoking. This disparity underscores the need for targeted interventions that address the specific risks and behaviors associated with smoking among different demographics.

Understanding the vast death toll from tobacco use requires a comprehensive approach that encompasses all forms of tobacco consumption, including smoking and chewing tobacco. The data indicate that the vast majority of tobacco-related deaths are due to smoking, with figures from the IHME suggesting that smoking-related deaths constitute more than 99.9% of all tobacco-use deaths. This emphasizes the critical importance of focusing public health efforts on reducing smoking rates to mitigate the overall impact of tobacco on global health.

The interactive charts and studies provided by organizations like the WHO and IHME offer valuable insights into the global and regional dynamics of smoking-related health issues. These resources allow for a detailed examination of smoking trends and their health consequences, facilitating evidence-based policy-making and public health strategies aimed at reducing smoking prevalence and its associated health burden.

Efforts to combat smoking must take into account the various factors that contribute to its prevalence, including societal norms, economic factors, and the addictive nature of nicotine. Public health campaigns, legislative measures, and support programs for those trying to quit smoking are essential components of a comprehensive strategy to address this issue.

Furthermore, research into the health effects of smoking and the mechanisms by which it contributes to diseases such as cancer, heart disease, and respiratory illnesses is crucial for developing effective treatments and prevention strategies. By understanding the full scope of smoking's impact on health, researchers and policymakers can better target interventions to reduce smoking rates and improve public health outcomes.

In conclusion, the global health crisis posed by tobacco smoking is a multifaceted issue that requires concerted efforts from governments, public health organizations, and communities worldwide. The declining trend in smoking rates offers hope, but the continued high prevalence of smoking-related deaths underscores the need for ongoing action. Through research, public health initiatives, and policy interventions, it is possible to further reduce smoking rates and alleviate the tremendous health burden it imposes on societies around the globe.

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 statistic depicts the number of tobacco smokers worldwide from 2000 to 2022 with a forecast for 2025 and 2030, by region. According to the data, the number of smokers in the Western Pacific region is expected to increase from 353 million people in 2000 to 365 million people in 2025.

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.

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.

Indonesia ID: Smoking Prevalence: Total: % of Adults: Aged 15+ data was reported at 39.400 % in 2016. This records an increase from the previous number of 39.000 % for 2015. Indonesia ID: Smoking Prevalence: Total: % of Adults: Aged 15+ data is updated yearly, averaging 37.600 % from Dec 2000 (Median) to 2016, with 9 observations. The data reached an all-time high of 39.400 % in 2016 and a record low of 32.900 % in 2000. Indonesia ID: 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 Indonesia – Table ID.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;

Uzbekistan UZ: Smoking Prevalence: Males: % of Adults data was reported at 24.700 % in 2016. This records a decrease from the previous number of 25.000 % for 2015. Uzbekistan UZ: Smoking Prevalence: Males: % of Adults data is updated yearly, averaging 25.900 % from Dec 2000 (Median) to 2016, with 9 observations. The data reached an all-time high of 30.900 % in 2000 and a record low of 24.700 % in 2016. Uzbekistan UZ: 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 Uzbekistan – Table UZ.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;

Italy IT: Smoking Prevalence: Males: % of Adults data was reported at 27.800 % in 2016. This records a decrease from the previous number of 28.100 % for 2015. Italy IT: Smoking Prevalence: Males: % of Adults data is updated yearly, averaging 29.100 % from Dec 2000 (Median) to 2016, with 9 observations. The data reached an all-time high of 33.200 % in 2000 and a record low of 27.800 % in 2016. Italy IT: 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 Italy – Table IT.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;

US States Tobacco Use Prevalence

1996-2010 Survey Data

By Health [source]

About this dataset

This dataset from the Centers for Disease Control and Prevention (CDC) provides state-based surveillance information related to tobacco use among American adults from 1996 to 2010. It contains data on modifiable risk factors for chronic diseases and other leading causes of death obtained from annual BRFSS surveys conducted in participating states.

The dataset focuses on key topics such as cigarette smoking status, prevalence by demographics, frequency, and quit attempts. The metrics collected are important indicators of public health efforts in tobacco prevention, control and cessation programs at the state level.

With this dataset you can explore how people perceive smoking differently across geographical areas as well as their socio-economic backgrounds like gender identity, race or ethnicity, educational level or life stage. Analyzing this data will give us valuable insights into the impact of tobacco consumption in our society today and help create more effective public health interventions tailored to local needs

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How to use the dataset

This dataset can be used to study the prevalence of tobacco use in different US states in the period 1996-2010. The dataset contains information on cigarette smoking status, prevalence by demographics, frequency, and quit attempts.

In order to begin exploring this dataset it is recommended that one first understand the column headers and their corresponding values. This can be done by familiarizing oneself with the included data dictionary that defines each column's name and description.

Next it is recommended to familiarize oneself with the data types contained in the columns. Depending on what type of query you are wanting to make some columns may need conversion from one type to another for better results when performing a query. Some common types found within this dataset include integers (whole numbers), strings (text) and floats (decimals).

Once you have familiarized yourself with both the columns and data types it is now a good time to start considering which questions you want answer related to tobacco use in US states during this period of time. Consider which variables might provide valuable insights into your analysis such as age, gender, race etc., as well as other variables such as location or year that could add more complexity or context understanding into your analysis. Assuming that your desired questions have been determined you can begin querying your data using methods supported by whichever language or platform you are choosing work with such us SQL or Python Pandas Dataframes etc.. This will allow manipulation of all relevant variables according get useful insights out of them related back tobaccos use in US states during this specific period.

Finally when doing an analysis on any given topic its helpful no compare ones findings between multiple datasets if possible so consider obtaining any other datasets relevant top toxins use over a similar timespan which could be compared against these findings if available

Research Ideas

• Identifying and targeting high-risk locations for tobacco use prevention efforts by analyzing the prevalence of different forms of tobacco use in different states.
• Examining patterns of tobacco use among different demographic groups (gender, age, race, etc.) to design better tailored interventions for tobacco cessation.
• Comparing quit attempt rates with smoking frequency and prevalence across states to understand the effectiveness of smoke-free laws and policies that have been enacted in recent years

Acknowledgements

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

License

See the dataset description for more information.

Columns

File: rows.csv | Column name | Description | |:-------------------------------|:-----------------------------------------------| | YEAR | Year of survey (Integer) | | LocationAbbr | Abbreviation of the state (String) | | LocationDesc | Full name of the state (String) | | TopicType | Type of topic (String) | | TopicDesc | Description of the topic (String) | | MeasureDesc | Description of ...

Understanding the factors influencing youth smoking and drug experimentation is essential for shaping effective prevention strategies. This synthetic dataset simulates trends from 2020 to 2024, providing insights into demographic, social, and economic influences on substance use among young individuals.

With approximately 10,000 AI-generated records, this dataset serves as a risk-free and ethically responsible resource for researchers, policymakers, and analysts to explore substance use patterns and their potential causes.

🔍 Key Features: ✔️ Age Groups – Covers a broad spectrum, from 10 to 80 years ✔️ Smoking Prevalence – Modeled insights into smoking engagement among youth ✔️ Drug Experimentation Rates – Simulated trends in drug use patterns ✔️ Socioeconomic Influences – Examines how financial background correlates with substance use ✔️ Peer & Family Influence – Analyzes the role of social circles and family support in youth behavior

📊 Dataset Overview: This dataset is synthetically generated and does not contain real-world data. It is designed for educational purposes, research simulations, and analytical practice in understanding youth substance use trends.

🏢 Columns Description: Person_ID – Unique identifier for each synthetic individual Age – Modeled age group (10–80 years) Gender – Simulated gender representation Socioeconomic_Status – Categorized as Low, Middle, or High Smoking_Status – Modeled likelihood of smoking (Yes/No) Drug_Experimentation – Simulated data on whether the individual has experimented with drugs Family_Influence – Influence level of family support on behavior Peer_Influence – Impact of peer pressure on substance use ⚠️ Disclaimer: This dataset is entirely synthetic and should not be used for real-world policy decisions, medical research, or official reporting. It is intended solely for academic learning, trend analysis, and data science practice.

🔹 Use this dataset to explore trends, develop predictive models, and contribute to meaningful discussions on youth health and substance use prevention! 🌟

Germany DE: Smoking Prevalence: Total: % of Adults: Aged 15+ data was reported at 30.600 % in 2016. This records a decrease from the previous number of 30.900 % for 2015. Germany DE: Smoking Prevalence: Total: % of Adults: Aged 15+ data is updated yearly, averaging 31.700 % from Dec 2000 (Median) to 2016, with 9 observations. The data reached an all-time high of 35.300 % in 2000 and a record low of 30.600 % in 2016. Germany DE: 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 Germany – Table DE.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;

Overview

This dataset provides comprehensive data from the Youth Tobacco Survey conducted across various states and union territories in India. It captures tobacco use behaviors, exposure to secondhand smoke, awareness of tobacco-related policies, and cessation attempts among youth. The data is disaggregated by area (Total, Urban, Rural) for India as a whole and for individual states/territories, offering insights into regional and demographic variations in tobacco use and related attitudes.

The dataset is valuable for researchers, policymakers, and public health professionals studying tobacco consumption patterns, the effectiveness of anti-tobacco campaigns, and the impact of regulations like the Cigarettes and Other Tobacco Products Act (COTPA) in India. It can be used to analyze trends, identify high-risk areas, and inform targeted interventions to reduce tobacco use among youth.

Source

The data appears to be sourced from a national or regional youth tobacco survey, likely conducted by a public health authority or research organization in India. It includes detailed metrics on tobacco use, exposure, and awareness, reflecting a systematic effort to monitor tobacco-related behaviors among young populations.

Column Descriptions

Below is a detailed description of each column in the dataset:

State: The name of the Indian state or union territory (e.g., India, Andhra Pradesh, Bihar). "India" represents aggregated national data.

Area: The geographic area within the state (Total, Urban, Rural).

Ever_Tob_Use: Percentage of youth who have ever used any tobacco product.

Curr_Tob_Use: Percentage of youth currently using any tobacco product.

Ever_Smoke: Percentage of youth who have ever smoked any tobacco product.

Curr_Smoke: Percentage of youth currently smoking any tobacco product.

Ever_Cig: Percentage of youth who have ever smoked cigarettes.

Curr_Cig: Percentage of youth currently smoking cigarettes.

Ever_Bidi: Percentage of youth who have ever smoked bidis (a type of hand-rolled tobacco product).

Curr_Bidi: Percentage of youth currently smoking bidis.

Ever_SLT: Percentage of youth who have ever used smokeless tobacco (SLT) products (e.g., chewing tobacco, gutkha).

Curr_SLT: Percentage of youth currently using smokeless tobacco products.

Ever_PM_Tob: Percentage of youth who have ever used paan masala with tobacco.

Suscept_Cig: Percentage of youth susceptible to starting cigarette smoking.

Age_Init_Cig: Average age of initiation for cigarette smoking.

Age_Init_Bidi: Average age of initiation for bidi smoking.

Age_Init_SLT: Average age of initiation for smokeless tobacco use.

E_Cig_Aware: Percentage of youth aware of electronic cigarettes.

E_Cig_Ever: Percentage of youth who have ever used electronic cigarettes.

Quit_Smoke_12mo: Percentage of youth who attempted to quit smoking in the past 12 months.

TryQuit_Smoke_12mo: Percentage of youth who tried to quit smoking in the past 12 months.

WantQuit_Smoke: Percentage of youth who want to quit smoking.

Quit_SLT_12mo: Percentage of youth who attempted to quit smokeless tobacco in the past 12 months.

TryQuit_SLT_12mo: Percentage of youth who tried to quit smokeless tobacco in the past 12 months.

WantQuit_SLT: Percentage of youth who want to quit smokeless tobacco.

Smoke_Exposure: Percentage of youth exposed to secondhand smoke (general).

Smoke_Home: Percentage of youth exposed to secondhand smoke at home.

Smoke_Enclosed: Percentage of youth exposed to secondhand smoke in enclosed public places.

Smoke_Outdoor: Percentage of youth exposed to secondhand smoke in outdoor public places.

Seen_Smoke_School: Percentage of youth who observed smoking on school premises.

Source_Cig_Store: Percentage of youth who obtained cigarettes from a store.

Source_Cig_Paan: Percentage of youth who obtained cigarettes from a paan shop.

Source_Bidi_Store: Percentage of youth who obtained bidis from a store.

Source_Bidi_Paan: Percentage of youth who obtained bidis from a paan shop.

Source_SLT_Store: Percentage of youth who obtained smokeless tobacco from a store.

Source_SLT_Paan: Percentage of youth who obtained smokeless tobacco from a paan shop.

Bought_Cig_Loc: Percentage of youth who purchased cigarettes from a local source.

Bought_Bidi_Loc: Percentage of youth who purchased bidis from a local source.

Refused_Cig_Sale: Percentage of youth refused cigarette sales due to age restrictions.

Refused_Bidi_Sale: Percentage of youth refused bidi sales due to age restrictions.

Refused_SLT_Sale: Percentage of youth refused smokeless tobacco sales due to age restrictions.

Cig_Stick: Percentage of youth purchasing cigarettes as single sticks.

Bidi_Stick: Percentage of youth purchasing bidis as single sticks.

Seen_AT_Message: Percentage of youth who have seen anti-tobacc...

Comparing the *** selected regions regarding the number of smokers , China is leading the ranking (***** million individuals) and is followed by India with ****** million individuals. At the other end of the spectrum is Seychelles with **** million individuals, indicating a difference of ****** million individuals to China. Shown is the estimated share of the adult population (15 years or older) in a given region or country, that smoke. According to the WHO and World bank, smoking refers to the use of cigarettes, pipes or other types of tobacco, be it on a daily or non-daily basis.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).