This statistical bulletin presents a range of information on smoking which are drawn together from a variety of sources. The bulletin aims to present a broad picture of health issues relating to smoking in England and covers topics such as smoking habits and behaviours among adults and school children, smoking and pregnancy, European comparisons of smoking prevalence, smoking-related ill health and mortality and smoking-related costs. This bulletin combines data from different sources presenting it in a user-friendly format. Most of the data contained in the bulletin have been published previously including information from the Information Centre, Department of Health, the Office for National Statistics, Her Majesty's Revenue and Customs, the European Commission and the European School Survey Project on Alcohol and Other Drugs. For the first time the bulletin includes information on the economic activity status of adults who smoke, the extent smoking is allowed in people's homes and information on people's views towards the smoking ban in public places. For children, the bulletin now includes data on smoking and substance use, and truancy and exclusion, as well as comparisons for ethnicity and among European countries. In addition to the various costs of smoking included in last year's bulletin, this year some information on smoking related costs to the NHS are also included.

2011–2023. The tobacco disparities dashboard data utilized the Behavioral Risk Factor Surveillance System (BRFSS) data to measure the cigarette smoking disparities by race and ethnicity. 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.

Survey data on smoking habits from the United Kingdom. The data set can be used for analyzing the demographic characteristics of smokers and types of tobacco consumed. A data frame with 1691 observations on the following 12 variables.

Source

National STEM Centre, Large Datasets from stats4schools, https://www.stem.org.uk/resources/elibrary/resource/28452/large-datasets-stats4schools.

Statistical data on smoking habits by nationality and gender in Qatar for 2013

Smoking at initial assessment: More than 90% of records had valid data for the smoking status at initial assessment data item, across all health boards, in all years. However, statistics on smoking at initial assessment and birth are limited by the way in which the data is collected. If CO monitoring is not available, data reliability is dependent on the mother self-reporting accurate information. CO monitoring has largely been suspended since the COVID-19 pandemic began, so data for 2020 and 2021 is mainly self-reported. E-Cigarette use should not be recorded in this data item and would not be detected by a CO monitor; however, in practice some mothers may self-report as a smoker if they use e-cigarettes and be incorrectly recorded as a smoker. Likewise, some mothers who do smoke may self-report as a non-smoker and be incorrectly recorded as a non-smoker. Smoking at birth: In 2021, 82% of records had valid data recorded at the Wales level. This was largely due to Hywel Dda health board not supplying any smoking at birth data, while there was only 68% complete data for Cwm Taf Morgannwg. There were also low levels of completeness in 2020 for Hywel Dda (30%), Cwm Taf Morgannwg (70%) and Powys (76%). However, in all years prior to 2020, more than 90% of records had valid data for smoking status at birth, across nearly all health boards. Full details of every data item available on both the Maternity Indicators dataset and National Community Child Health Database are available through the NWIS Data Dictionary: http://www.datadictionary.wales.nhs.uk/#!WordDocuments/datasetstructure20.htm From 1st April 2019 health service provision for residents of Bridgend local authority moved from Abertawe Bro Morgannwg to Cwm Taf. For more information see the joint statement from Cwm Taf and Abertawe Bro Morgannwg University Health Boards (see weblinks). The health board names have changed with Cwm Taf University Health Board becoming Cwm Taf Morgannwg University Health Board and Abertawe Bro Morgannwg University Health Board becoming Swansea Bay University Health Board. Data for Abertawe Bro Morgannwg and Cwm Taf are available for previous years in this table by selecting the tick boxes in the Area drop-down box.

IntroductionStudies, predominantly from the US, suggest that positive parenting, social support, academic achievement, and ethnic identity may buffer the impact of racism on health behaviours, including smoking, but little is known about how such effects might operate for ethnically diverse young people in the United Kingdom. We use the Determinants of young Adult Social well-being and Health (DASH), the largest UK longitudinal study of ethnically diverse young people, to address the following questions: a) Is racism associated with smoking? b) Does the relationship between racism and smoking vary by gender and by ethnicity? (c) Do religious involvement, parenting style and relationship with parents modify any observed relationship? and d) What are the qualitative experiences of racism and how might family or religion buffer the impact?MethodsThe cohort was recruited from 51 London schools. 6643 were seen at 11-13y and 4785 seen again at 14-16y. 665 participated in pilot follow-up at 21-23y, 42 in qualitative interviews. Self-report questionnaires included lifestyles, socio-economic and psychosocial factors. Mixed-effect models examined the associations between racism and smoking.ResultsSmoking prevalence increased from adolescence to age 21-23y, although ethnic minorities remained less likely to smoke. Racism was an independent longitudinal correlate of ever smoking throughout adolescence (odds ratio 1.77, 95% Confidence Interval 1.45–2.17) and from early adolescence to early 20s (1.90, 95% CI 1.25–2.90). Smoking initiation in late adolescence was associated with cumulative exposure to racism (1.77, 95% CI 1.23–2.54). Parent-child relationships and place of worship attendance were independent longitudinal correlates that were protective of smoking. Qualitative narratives explored how parenting, religion and cultural identity buffered the adverse impact of racism.ConclusionsRacism was associated with smoking behaviour from early adolescence to early adulthood, regardless of gender, ethnicity or socio-economic circumstances adding to evidence of the need to consider racism as an important social determinant of health across the life course.

2011–2023. The tobacco disparities dashboard data utilized the Behavioral Risk Factor Surveillance System (BRFSS) data to measure cigarette smoking disparities by age, disability, education, employment, income, mental health status, race and ethnicity, sex, and urban-rural status. 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.

Abstract copyright UK Data Service and data collection copyright owner.The Opinions and Lifestyle Survey (formerly known as the ONS Opinions Survey or Omnibus) is an omnibus survey that began in 1990, collecting data on a range of subjects commissioned by both the ONS internally and external clients (limited to other government departments, charities, non-profit organisations and academia).Data are collected from one individual aged 16 or over, selected from each sampled private household. Personal data include data on the individual, their family, address, household, income and education, plus responses and opinions on a variety of subjects within commissioned modules. The questionnaire collects timely data for research and policy analysis evaluation on the social impacts of recent topics of national importance, such as the coronavirus (COVID-19) pandemic and the cost of living, on individuals and households in Great Britain. From April 2018 to November 2019, the design of the OPN changed from face-to-face to a mixed-mode design (online first with telephone interviewing where necessary). Mixed-mode collection allows respondents to complete the survey more flexibly and provides a more cost-effective service for customers. In March 2020, the OPN was adapted to become a weekly survey used to collect data on the social impacts of the coronavirus (COVID-19) pandemic on the lives of people of Great Britain. These data are held in the Secure Access study, SN 8635, ONS Opinions and Lifestyle Survey, Covid-19 Module, 2020-2022: Secure Access. From August 2021, as coronavirus (COVID-19) restrictions were lifting across Great Britain, the OPN moved to fortnightly data collection, sampling around 5,000 households in each survey wave to ensure the survey remains sustainable. The OPN has since expanded to include questions on other topics of national importance, such as health and the cost of living. For more information about the survey and its methodology, see the ONS OPN Quality and Methodology Information webpage.Secure Access Opinions and Lifestyle Survey dataOther Secure Access OPN data cover modules run at various points from 1997-2019, on Census religion (SN 8078), cervical cancer screening (SN 8080), contact after separation (SN 8089), contraception (SN 8095), disability (SNs 8680 and 8096), general lifestyle (SN 8092), illness and activity (SN 8094), and non-resident parental contact (SN 8093). See Opinions and Lifestyle Survey: Secure Access for details. Main Topics:Each month's questionnaire consists of two elements: core questions, covering demographic information, are asked each month together with non-core questions that vary from month to month. The non-core questions for this month were: Hearing and subtitles (Module 204): this module was asked on behalf of the BBC. It was asked of all household members aged nine or over who had hearing difficulties or difficulty hearing the TV at normal volume. Internet access (Module 264): this module is being asked on behalf of a number of government departments, but primarily the Office for National Statistics and the E-Envoy's Office (part of the Cabinet Office). Designed to monitor internet use, which is currently a high profile government policy. E-Health (Module 270): this module was asked on behalf of Citizens Online, a charity set up to monitor and improve access to the internet. These questions are about health information on the internet and asked only of those who have used the internet for private/personal use. Smoking (Module 130): this module is being asked on behalf of the Department of Health. The questions relate to smoking. New ethnic question (Module 272): this question was asked on behalf of Social Survey Division and Socio-Economic Division of ONS and may be adopted as the new harmonised ethnicity question. Multi-stage stratified random sample Face-to-face interview

This report contains results from an annual survey of secondary school pupils in England in years 7 to 11 (mostly aged 11 to 15). 6,173 pupils in 210 schools completed questionnaires in the autumn term of 2014. NatCen Social Research (NatCen) and the National Foundation for Educational Research (NFER) carried out the survey on behalf of the Health and Social Care Information Centre (HSCIC). The Home Office also have an interest in the statistics. This is the most recent survey in a series that began in 1982. Each survey since 1998 has included a core set of questions on smoking, drinking and drug use. Since 2000, the remainder of the survey questions have focused in alternate years on smoking and drinking or on drug use. The emphasis of the 2014 survey was on smoking and drinking whilst still containing some information on drugs. The survey report presents information on the percentage of pupils who have ever smoked, tried alcohol or taken drugs. The report also explores the attitudes of school children towards smoking and drinking. Relationships between smoking, drinking and drug use are explored along with the links between smoking, drinking and drug use and other factors such as age, gender, ethnicity and previous truancy or exclusion. New areas included in the survey for the first time were e-cigarettes, waterpipe tobacco, legal highs and energy drinks.

From the selected regions, the ranking by female smoking prevalence is led by Serbia with ***** percent and is followed by Bulgaria (***** percent). In contrast, the ranking is trailed by Azerbaijan with **** percent, recording a difference of ***** percentage points to Serbia. Shown is the estimated share of the female 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).

This quarterly report presents results from the monitoring of the NHS Stop Smoking Services in England during the period April 2022 to March 2023. NHS Stop Smoking Services offer support to help people quit smoking. This can include intensive support through group therapy or one-to-one support. The support is designed to be widely accessible within the local community and is provided by trained personnel, such as specialist smoking cessation advisers and trained nurses and pharmacists. This report includes information on the number of people setting a quit date and the number who successfully quit at the 4 week follow-up. It also presents in depth analyses of the key measures of the service including pregnant women, breakdowns by ethnic group and type of pharmacotherapy received. The results are provided at national, regional and local authority levels.

Statistical data on shisha smoking by nationality and gender in Qatar for 2013

Statistical data on the impact of counter advertising on cigarette and shisha smokers by nationality and gender in Qatar for 2013

Statistical data on the economic aspects of tobacco smoking by nationality and gender in Qatar for 2013

A 2023 National Health Survey in Saudi Arabia revealed, that roughly a quarter of Saudi and non-Saudi men above the age of ** were active smokers. Women, on the other hand, smoked at a much lower rate, with around *** percent of Saudi women, and approximately **** percent of foreign residents women.

Statistical data on perceptions of smoking by type of smoker or user and nationality in Qatar for 2013

Abbreviation: OR, odds ratio, 95% CI, 95% confidence interval.* adjusted for maternal age, marital status, parity, kotelchuck prenatal care index, gestational weight gain, chronic hypertension, diabetes.+adjusted for maternal age, chronic hypertension, and diabetes.Odds Ratios for the Effect of Smoking on PIH Among Ethnic Groups by Maternal Age.

Note. Non-Hispanic Other includes Asian and Other Races.

Statistical data on secondhand smoke exposure by nationality and gender in Qatar for 2013