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Line Graph

Band 8+: The graph below shows levels of online shopping by age group for different times of the day. Summarise the information by selecting and reporting the main features, and make comparisons where relevant. Write at least 150 words.

Image for topic: The graph below shows levels of online shopping by age group for different times of the day. Summarise the information by selecting and reporting the main features, and make comparisons where relevant. Write at least 150 words.
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The image depicts a line graph titled "Online shopping by time of day 2015, split by age" with the x-axis labeled in 2-hour increments from "Before 6 am" to "10 pm onwards" and the y-axis showing the percentage of visits, ranging from 0 to 35 in increments of 5. Five age groups are represented: 16-24 years, 25-34 years, 35-44 years, 45-59 years, and 60+ years. Key data points for each age group at the peaks around 8 pm to 10 pm are as follows: 16-24 years peak at slightly above 30%; 25-34 years about 32%; 35-44 years approximately 29%; 45-59 years around 27%; 60+ years peak at just below 25%. The pattern across all groups shows an increase in activity starting from early morning, peaking in the late evening, and then declining.
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The line graph presents the percentage of online shopping activity throughout different times of the day in 2015, segmented by age groups.

Overall, digital purchasing trends show a steady rise from morning until late evening, reaching their highest levels between 8 pm and 10 pm before declining. Younger individuals exhibit the greatest participation, whereas older demographics engage less frequently but follow a comparable pattern.

During the early hours, online transactions remain minimal, with all groups recording figures below 10% before 9 am. Activity gradually intensifies as the day progresses, with a notable increase after noon, particularly among individuals aged 25 to 34, whose engagement exceeds 20%. The 16-24 and 35-44 categories demonstrate similar upward trends, while older cohorts display a more modest rise.

A pronounced surge occurs post-6 pm, culminating in the highest levels of e-commerce engagement during the 8 pm to 10 pm window. The 25-34 age bracket reaches the peak at approximately 32%, closely followed by the 16-24 and 35-44 groups, both surpassing 30%. The 45-59 segment tops out at nearly 27%, whereas those aged 60 and above remain the least active, peaking just under 25%.

After reaching their respective highs, all age groups exhibit a sharp downturn post-10 pm, signaling a decline in consumer engagement as nighttime sets in. Despite variations in overall activity, each demographic follows a similar trajectory, with the highest online shopping activity concentrated in the evening.

Word Count: 233

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