UK Survey · 1,691 Respondents · Demographic Analysis

Who Smokes—
and How Much?

Three charts from a UK smoking survey reveal how age, education, and cigarette type predict both the likelihood of smoking and daily consumption patterns.

1,691  Survey respondents
25% Overall smoking rate
43% Rate among 20s
15% Rate among degree holders
01

Smoking Rate by Age Group

Percentage of respondents who smoke · by decade of age
Analysis

Smoking prevalence peaks sharply in the 20s at 42.7%—nearly double the overall survey average of 25%. It falls steadily with age, dropping to just 3.6% among respondents in their 80s.

This curve reflects two overlapping dynamics: younger cohorts face greater social exposure to smoking, while older survivors who smoked have disproportionately died or quit due to health consequences.

Key finding: The 20–29 age group is by far the highest-risk demographic—nearly 1 in 2 respondents in this bracket smoked.
02

Smoking Rate by Education Level

Percentage who smoke · ordered from lowest to highest qualification
Analysis

The relationship between education and smoking is clear but not perfectly linear. Degree holders smoke least at 14.9%, while those with intermediate qualifications (GCSE/CSE, GCSE/O Level) smoke most—at 37.3% and 34.1% respectively.

Interestingly, those with no qualification at all smoke at 23.4%—below mid-tier qualification groups. This likely reflects the older age distribution of unqualified respondents, who also appear less in the peak-smoking 20s bracket.

Key finding: University education is the single strongest educational predictor of not smoking in this dataset.
03

Average Cigarettes: Weekend vs. Weekday

Among active smokers · by cigarette type · average per day
Analysis

Across all cigarette types, smokers consistently consume more on weekends than on weekdays. The gap is most pronounced among packet smokers (15.8 vs. 13.0—a 22% increase).

Hand-rolled smokers and those who mix types smoke the most overall, with mixed hand-rolled smokers averaging nearly 20 cigarettes per weekend day. This may reflect that rolling requires more deliberate effort and correlates with heavier, more habitual use.

Key finding: Weekend consumption is elevated across all smoker types—suggesting social or leisure contexts meaningfully drive intake.
Dataset

Original Data Sample

First 20 rows of the UK smoking survey (1,691 total). Source: Kaggle / UK Smoking Data.

# Gender Age Marital Qualification Income Region Smoke? Wknd Wkday Type
1Male38DivorcedNo Qualification2,600–5,200The NorthNo
2Female42SingleNo QualificationUnder 2,600The NorthYes1212Packets
3Male40MarriedDegree28,600–36,400The NorthNo
4Female40MarriedDegree10,400–15,600The NorthNo
5Female39MarriedGCSE/O Level2,600–5,200The NorthNo
6Female37MarriedGCSE/O Level15,600–20,800The NorthNo
7Male53MarriedDegreeAbove 36,400The NorthYes66Packets
8Male44SingleDegree10,400–15,600The NorthNo
9Male40SingleGCSE/CSE2,600–5,200The NorthYes88Hand-Rolled
10Female41MarriedNo Qualification5,200–10,400The NorthYes1512Packets
11Male72WidowedNo Qualification10,400–15,600The NorthNo
12Male29MarriedDegreeAbove 36,400The NorthNo
13Female79WidowedNo Qualification10,400–15,600The NorthNo
14Male25SingleDegree15,600–20,800The NorthNo
15Female27SingleDegree15,600–20,800The NorthNo
16Female30SingleDegree20,800–28,600The NorthNo
17Female31MarriedGCSE/CSEUnder 2,600The NorthYes1515Both/Mainly Packets
18Female36MarriedGCSE/O Level5,200–10,400The NorthYes52Packets
19Female56MarriedNo Qualification2,600–5,200The NorthYes2020Packets
20Male55MarriedNo Qualification20,800–28,600The NorthNo
Showing 20 of 1,691 rows. Columns: gender, age, marital status, highest qualification, gross income (£/yr), region, smoker status, weekend cigs/day, weekday cigs/day, cigarette type. = non-smoker (no data).