One complete Academic Task 1 practice with its visual, two worked examples and a model report.
Allow about 20 minutes for this task.
The table below shows the percentages of residents in four age groups who used online banking in Harton in 2010 and 2020.
Summarise the information by selecting and reporting the main features, and make comparisons where relevant.
Write at least 150 words.
| Age group (years) | 2010 (%) | 2020 (%) |
|---|---|---|
| 16–24 | 25 | 50 |
| 25–44 | 40 | 70 |
| 45–64 | 30 | 60 |
| 65+ | 10 | 35 |
Study the two worked examples. Use the writing plan and useful language to prepare your response, then submit it to review the model and explanation. Scores exclude the examples; Writing and Speaking use self-review rather than automatic band marking.
Original SUFAS teaching material. This is a focused sample exercise, not a full IELTS examination.
Optional learning timer. It can be paused and does not submit automatically.
Ready.
Model answer: Overall, online banking became more common in every group. People aged 25–44 had the highest usage rate in both years, while those aged 65 or over remained the least likely to use the service. The two middle age groups recorded the largest increases in percentage points.
Why: This selects the main overall features, rather than listing every detail.
Model answer: Among residents aged 25–44, the proportion rose from 40% in 2010 to 70% in 2020. The figure for the 45–64 group increased by the same amount, 30 percentage points, from 30% to 60%. As a result, the gap between these two groups remained at ten points.
Why: This groups related information and supports it with accurate visual details.
Review the question and visual
Use rose in every age group. Residents aged 25–44 remained the highest and those aged 65 or over remained lowest. The two middle groups had the largest percentage-point increases.
Group the two middle age groups, which both rose by 30 points. Then compare the youngest and oldest groups, each rising by 25 points. Do not average age-group percentages without population weights.
recorded a rise of 30 percentage points · doubled from 25% to 50% · remained the lowest of the four rates
The table compares the percentages of residents using online banking in Harton in 2010 and 2020, divided into four age groups.
Overall, online banking became more common in every group. People aged 25–44 had the highest usage rate in both years, while those aged 65 or over remained the least likely to use the service. The two middle age groups recorded the largest increases in percentage points.
Among residents aged 25–44, the proportion rose from 40% in 2010 to 70% in 2020. The figure for the 45–64 group increased by the same amount, 30 percentage points, from 30% to 60%. As a result, the gap between these two groups remained at ten points.
The youngest group, aged 16–24, doubled its usage rate from 25% to 50%. Residents aged 65 or over also recorded a substantial rise, from 10% to 35%. Both groups therefore gained 25 percentage points. Despite these increases, their final rates were still lower than those of either middle age group.
Why this works: The overview identifies growth and stable rankings. Grouping by equal increases makes the detail paragraphs coherent. “Doubled” correctly describes 25% to 50%; the model avoids combining age groups into an unsupported population average.
Compare your work with the model and tick only points you achieved. This is a self-review checklist, not automatic marking or an IELTS band score.
Self-review score: 0 / 6