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National Statistics
Publication

Statistics on Smoking, England - 2019 [NS] [PAS]

This is part of

National statistics
Publication date:
Geographic coverage:
England
Geographical granularity:
Country, Local Authorities, Clinical Commissioning Groups
Date range:
01 Jan 1980 to 31 Mar 2019

Part 1: Smoking-related ill health and mortality

This part presents information on the number of hospital admissions and the number of deaths that are attributable to smoking.

  • Hospital admissions data is taken from the latest available Hospital Episode Statistics (HES).
  • Mortality data is taken from the Office for National Statistics (ONS) annual extract of registered deaths.
  • Self reported health by smoking status is taken from the ONS Annual Population Survey.

The estimates of the proportion of hospital admissions and deaths attributable to smoking are calculated following a recognised methodology.  This uses the proportions of current and ex-smokers in the population and the relative risks of these people dying from specific diseases or developing certain non-fatal conditions compared with those who have never smoked. See Appendix B for further details.  Figures presented relate to people aged 35 and over because this age group is most likely to be affected by smoking-related ill health and mortality.

Local Authority level data is taken from the Public Health England (PHE) Local Tobacco Control Profiles.

Hospital admissions estimated to be attributable to smoking, by year1,2

In 2017/18 there were estimated to be 489,300 hospital admissions attributable to smoking.

This is up from 484,700 in 2016/17 (an increase of 1%), and from 440,400 in 2007/08 (an increase of 11%).

Chart showing admissions estimated to be attributable to smoking over time

 

In 2017/18 this represented 4% of all hospital admissions (down from 5% in 2007/08), and 26% of hospital admissions for conditions that can be caused by smoking (down from 31% in 2007/08).

Chart showing admissions estimated to be attributable to smoking over time as a percent of all admissions

 

Hospital admissions estimated to be attributable to smoking, by cause1,2

22% of all admissions for respiratory diseases, 15% of all admissions for circulatory diseases, and 9% of all admissions for cancers, were estimated to be attributable to smoking.

Chart showing percent of all admissions estimated to be attributable to smoking, by cause

 

47% of admissions for cancers that can be caused by smoking, and 39% of admissions for respiratory diseases that can be caused by smoking, were estimated to be attributable to smoking.

Chart showing percent of only admissions that can be caused by smoking, that were estimated to be attributable to smoking, by cause

 

Hospital admissions estimated to be attributable to smoking, by gender 1,2

Admissions estimated to be attributable to smoking by gender : Males - 6% of all admissions, and 30% of admissions for conditions that can be caused by smoking.  Females - 3% of all admissions, and 22% of admissions for conditions that can be caused by smoking.

 

Hospital admissions estimated to be attributable to smoking by Local Authority - rate per 100,000 population3

Blackpool and Sunderland recorded rates above 2,900 per 100,000 population.

Wokingham had the lowest rate; 721 per 100,000 population. This was followed by Rutland (877), Isle of Wight (877), and Redbridge (913).

Map showing hospital admissions estimated to be attributable to smoking by Local Authority - rate per 100,000 population

 

Self reported health by smoking status

Adults (aged 18+) who have never smoked were more likely to report better health than current4 or ex-smokers.

41% of those who had never smoked reported being in very good health, compared to 26% of current smokers.

Conversely, 12% of current smokers, reported being in bad or very bad health, compared to 5% of those who had never smoked.

Chart showing self reported health by smoking status

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1.  For adults aged 35 and over with admission condition based on primary diagnosis.

2.  Estimates based on smoking prevalence and risks of smokers/ex-smokers developing each disease – see Appendix B: Technical Notes, Section 1 for details.

3.  Directly standardised rate of estimated smoking attributable admissions in people aged 35+.

4. Anyone who answered yes to the question ‘do you smoke cigarettes at all nowadays?’ was recorded as a current smoker.

For more information on the data in this section: 

 

 

Deaths estimated to be attributable to smoking, by year1,2

In 2017 there were estimated to be 77,800 deaths attributable to smoking. This is similar to 2016 (77,900) and a decrease of 6% from 2007 (82,400).

Chart showing deaths estimated to be attributable to smoking over time

 

This represents 16% of all deaths (down from 18% in 2007), and 33% of deaths for conditions that can be caused by smoking (up from 31% in 2007).

Chart showing deaths estimated to be attributable to smoking over time as a percent of all deaths

 

Deaths estimated to be attributable to smoking, by cause1,2

37% of all deaths for respiratory diseases, and 26% of all deaths for cancers, were estimated to be attributable to smoking.

Chart showing percent of all deaths estimated to be attributable to smoking by cause

 

54% of deaths for cancers that can be caused by smoking, 48% of deaths for respiratory diseases that can be caused by smoking, and 45% of deaths for diseases of the digestive system that can be caused by smoking, were estimated to be attributable to smoking.

Chart showing percent of deaths for conditions that can be caused by smoking, that were estimated to be attributable to smoking by cause

 

Deaths estimated to be attributable to smoking, by gender 1,2

Deaths estimated to be attributable to smoking by gender : Males - 20% of all deaths, and 38% of deaths for conditions that can be caused by smoking.  Females - 12% of all deaths, and 27% of deaths for conditions that can be caused by smoking.

 

Deaths estimated to be attributable to smoking by Local Authority - rate per 100,000 population3, 2015 - 2017

Manchester had the highest rate with 482 per 100,000 population, followed by Kingston upon Hull (475), and Blackpool (450).

The lowest rates were in Harrow (149), Wokingham (166), and Rutland (181).

Map showing deaths estimated to be attributable to smoking by Local Authority - rate per 100,000 population

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1.  Registered deaths amongst adults aged 35 and over based on original cause of death.

2.  Estimates based on smoking prevalence and risks of smokers/ex-smokers developing each disease – see Appendix B: Technical Notes, Section 1 for details.

3.  Directly standardised rate of estimated smoking attributable deaths in people aged 35+.

Last edited: 28 June 2019 9:36 am