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).

In 2021, Jordan had the highest rate of daily smokers in the Middle East and North Africa (MENA) region at almost ** percent, followed by Turkey, and the West Bank and Gaza strip respectively. The majority of countries in the region had daily smoking rates between ** and ** percent.

As of 2019, around two percent of individuals aged 15 years and older in Panama were daily smokers, making Panama one of the countries with the lowest prevalence of daily tobacco smokers worldwide. This statistic illustrates the 20 countries with the lowest prevalence of daily smokers worldwide as of 2019.

Perhaps unsurprisingly, the two countries with the largest populations in the world also have the highest total number of smokers. However, in 2019, China had more than double the number of smokers as India even though just four years later India would overtake China to become the most populous country in the world. In 2019, a total of around ***** million people in China smoked, compared to ***** million in India. Which country smokes the most? Although China and India have the highest number of total smokers, they are not the countries with the highest rates of smoking. The countries with the highest share of their population who are smokers are the Pacific Island nations of Kiribati and Nauru, followed by Papua New Guinea and Indonesia. As of 2019, around ** percent of the populations of Kiribati and Nauru were smokers. The countries with the lowest rates of smoking are Panama and Ghana where only around *** percent of people smoke tobacco. Rates of smoking are generally higher among men than women, but the difference varies greatly from country to country. Deaths due to smoking Smoking tobacco increases the risk of a number of diseases, including heart disease, chronic obstructive pulmonary disease (COPD), and many forms of cancer. In 2019, it was estimated that around *** million deaths worldwide due to ischemic heart disease could be attributed to smoking, as well as a further *** million deaths from tracheal, bronchus, and lung cancer. Men account for the vast majority of deaths attributable to tobacco, with the regions of the Western Pacific and South-East Asia reporting the highest number of such deaths. It is estimated that in China up to ** percent of deaths among men can be attributed to tobacco use.

📊

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 share of individuals who currently smoke cigarettes, cigars, cigarillos or a pipe in Greece was around 42 percent in 2020, which makes the Mediterranean country have the highest proportion of smokers in the EU.

Tobacco taxation

In an effort to reduce smoking prevalence among the populace, governments across Europe impose ever-higher tax rates on tobacco, making cigarettes much more expensive for consumers to purchase and hence, compelling them to reduce their consumption. For instance, Finland had the highest cigarette excise tax rate in 2019 at around 68 percent. Other countries like the Netherlands and Germany impose a slightly lower tax rate of 54 and 52 percent, respectively. The German government generated approximately 14.7 billion euros in revenues from tobacco taxation in 2020. With tobacco taxes making up the lion’s share of the price of a pack of cigarettes, European governments hope this will trigger a significant reduction in consumer demand.

To what extent did higher taxes contribute to reducing cigarette consumption in Europe?

With rising tobacco taxation across the European continent in the last years (albeit in varying rates), cigarette consumers have either quit smoking, reduced their intake or switched to e-cigarettes and non-combustible tobacco alternatives. In fact, only 28 percent of individuals consume tobacco in France today, a country once notorious for its prevalent tobacco consumption. This trend has been reflected over the years with a significant drop in the volume of cigarettes annually sold in France: In 2005, more than 54,000 tons of cigarettes were sold, but that figure dropped to nearly 36,000 tons by 2020. During the same time period, the price of the most sold brand of cigarettes in France more than tripled.

Annual data and annual historic data on the proportion of adults who currently smoke, the proportion of ex-smokers and the proportion of those who have never smoked, by sex and age.

In 2022, around ** percent of the population aged 15 years and over in Türkiye smoked every day. This statistic shows the percentage of the population in select countries worldwide who smoked daily as of 2022.

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 | ...

Smoking trends broken down by gender and country since 1980

Data Dictionary

Acknowlegement

Original Data

CORGIS Dataset Project

Foto von Andres Siimon auf Unsplash

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among Member States (MS) the health status (including disability), health determinants (lifestyle) of the EU citizens and use of health care services and limitations in accessing it.

The general coverage of the survey is the population aged 15 or over living in private households residing in the territory of the country.

EHIS was developed between 2003 and 2006. It consists of four modules on health status, health determinants, health care, and background variables (socio-demographic characteristics of the population).

Three waves of EHIS have currently been implemented. The first wave of EHIS (EHIS wave 1 or EHIS round 2008) was conducted between 2006 and 2009 in 17 EU Member States as well as Switzerland and Turkey.

The second wave (EHIS wave 2 or EHIS round 2014) was conducted between 2013 and 2015 in all EU Member States, Iceland, Norway and Turkey according to the Commission Regulation 141/2013.

The third wave of EHIS was conducted in 2019. All Member States participated in the EHIS wave 3 in accordance with the Commission Regulation (EU) No. 2018/255. A derogation regarding the data collection period was granted for some countries: the data collection period was 2018 for Belgium, 2018-2020 for Austria and Germany, and 2019-2020 for Malta.

The questionnaire consists of the same four modules for all the EHIS waves and over the years, some changes to the questionnaire have been implemented to satisfy specific users’ needs. Also, countries are allowed to include additional questions in the specific submodules or even specific sub-modules in the survey if this does not have an impact on the results of the compulsory variable

EHIS includes the following topics:

Health status
This topic includes different dimensions of health status and health-related activity limitations:

• General health status (Minimum European health module): self-perceived health, chronic morbidity and disability (activity limitation)
• Disease-specific morbidity
• Accidents and injuries
• Health-related absenteeism from work
• Physical and sensory functional limitations (also cognitive limitations in wave 3)
• Difficulties in personal care activities / activities of daily living (such as eating and washing) and help received/needed
• Household activities / Instrumental activities of daily living (such as preparing meals and shopping) and help received/needed
• Pain
• Aspect of mental health (psychological distress and mental well-being in the first wave, depressive symptoms in the second and third waves)
• Work-related health problems (only in the first wave).

Health care
This topic covers the use of different types of medicines and formal and informal health and social care services, which are complemented by data on health-related expenditure, and limitations in access to and satisfaction with health care services:

• Hospitalisation (in-patient and day care)
• Consultations with doctors and dentists
• Visits to specific health professionals (such as physiotherapists or psychologists)
• Use of home care services
• Use of medicines (prescribed and non-prescribed)
• Healthcare preventive actions (such as influenza vaccination, breast examination, cervical smear test and blood tests)
• Unmet needs for health care
• Out-of-pocket payments for medical care (only in the first wave)
• Satisfaction with services provided by healthcare providers (only in the first wave)
• Visits to specific categories of alternative medicine practitioners (only in the first wave).

Health determinants
This topic includes various individual and environmental health determinants:

• Height and weight
• Physical activity/exercise
• Consumption of fruits, vegetables and juice
• Drinking sugar-sweetened soft drinks (only in the third wave)
• Tobacco smoking behaviour and exposure to tobacco smoke
• Use of e-cigarettes or similar electronic devices (only in the third wave)
• Alcohol consumption
• Social support
• Provision of informal care or assistance (only in the second and third waves)
• Illicit drug use (only in the first wave)
• Environment (home and workplace exposures, criminality exposure) (only in the first wave).

Background variables on demography and socio-economic characteristics.

All indicators are expressed as percentages within the population and statistics are broken down by age and sex and one other dimension such as educational attainment level, income quintile group, degree of urbanization, country of birth, country of citizenship, level of disability (activity limitation).

Smoking estimates by age group from 2010 to 2014. This is presented at a UK level, and broken down by England, Wales, Scotland and Northern Ireland.

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;

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among Member States (MS) the health status (including disability), health determinants (lifestyle) of the EU citizens and use of health care services and limitations in accessing it.

The general coverage of the survey is the population aged 15 or over living in private households residing in the territory of the country.

EHIS was developed between 2003 and 2006. It consists of four modules on health status, health determinants, health care, and background variables (socio-demographic characteristics of the population).

Three waves of EHIS have currently been implemented. The first wave of EHIS (EHIS wave 1 or EHIS round 2008) was conducted between 2006 and 2009 in 17 EU Member States as well as Switzerland and Turkey.

The second wave (EHIS wave 2 or EHIS round 2014) was conducted between 2013 and 2015 in all EU Member States, Iceland, Norway and Turkey according to the Commission Regulation 141/2013.

The third wave of EHIS was conducted in 2019. All Member States participated in the EHIS wave 3 in accordance with the Commission Regulation (EU) No. 2018/255. A derogation regarding the data collection period was granted for some countries: the data collection period was 2018 for Belgium, 2018-2020 for Austria and Germany, and 2019-2020 for Malta.

The questionnaire consists of the same four modules for all the EHIS waves and over the years, some changes to the questionnaire have been implemented to satisfy specific users’ needs. Also, countries are allowed to include additional questions in the specific submodules or even specific sub-modules in the survey if this does not have an impact on the results of the compulsory variable

EHIS includes the following topics:

Health status
This topic includes different dimensions of health status and health-related activity limitations:

• General health status (Minimum European health module): self-perceived health, chronic morbidity and disability (activity limitation)
• Disease-specific morbidity
• Accidents and injuries
• Health-related absenteeism from work
• Physical and sensory functional limitations (also cognitive limitations in wave 3)
• Difficulties in personal care activities / activities of daily living (such as eating and washing) and help received/needed
• Household activities / Instrumental activities of daily living (such as preparing meals and shopping) and help received/needed
• Pain
• Aspect of mental health (psychological distress and mental well-being in the first wave, depressive symptoms in the second and third waves)
• Work-related health problems (only in the first wave).

Health care
This topic covers the use of different types of medicines and formal and informal health and social care services, which are complemented by data on health-related expenditure, and limitations in access to and satisfaction with health care services:

• Hospitalisation (in-patient and day care)
• Consultations with doctors and dentists
• Visits to specific health professionals (such as physiotherapists or psychologists)
• Use of home care services
• Use of medicines (prescribed and non-prescribed)
• Healthcare preventive actions (such as influenza vaccination, breast examination, cervical smear test and blood tests)
• Unmet needs for health care
• Out-of-pocket payments for medical care (only in the first wave)
• Satisfaction with services provided by healthcare providers (only in the first wave)
• Visits to specific categories of alternative medicine practitioners (only in the first wave).

Health determinants
This topic includes various individual and environmental health determinants:

• Height and weight
• Physical activity/exercise
• Consumption of fruits, vegetables and juice
• Drinking sugar-sweetened soft drinks (only in the third wave)
• Tobacco smoking behaviour and exposure to tobacco smoke
• Use of e-cigarettes or similar electronic devices (only in the third wave)
• Alcohol consumption
• Social support
• Provision of informal care or assistance (only in the second and third waves)
• Illicit drug use (only in the first wave)
• Environment (home and workplace exposures, criminality exposure) (only in the first wave).

Background variables on demography and socio-economic characteristics.

All indicators are expressed as percentages within the population and statistics are broken down by age and sex and one other dimension such as educational attainment level, income quintile group, degree of urbanization, country of birth, country of citizenship, level of disability (activity limitation).

EU European Union: Smoking Prevalence: Total: % of Adults: Aged 15+ data was reported at 28.224 % in 2016. This records a decrease from the previous number of 28.619 % for 2015. EU European Union: Smoking Prevalence: Total: % of Adults: Aged 15+ data is updated yearly, averaging 29.939 % from Dec 2000 (Median) to 2016, with 9 observations. The data reached an all-time high of 36.380 % in 2000 and a record low of 28.224 % in 2016. EU European Union: Smoking Prevalence: Total: % of Adults: Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under World Trend Plus’s Aggregate: Euro Area and European Union – Table EU.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;

Smoking estimates from 2010 to 2014. This is presented at a UK level, and broken down by England, Wales, Scotland and Northern Ireland.

In 2022, around ** percent of men aged 15 years and older in Türkiye were smoking daily, while just 16 percent of women smoked. This statistic shows the percentage of smokers in the population of select countries worldwide as of 2022, by gender.

Smoking estimates by occupation 2014. This is presented at a UK level, and broken down by England, Wales, Scotland and Northern Ireland.

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

The smoking prevalence in Italy was forecast to continuously decrease between 2024 and 2029 by in total 0.6 percentage points. After the eighth consecutive decreasing year, the smoking prevalence is estimated to reach 22.02 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 150 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 Greece and Malta.