IELTS Writing Samples by topic

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The pie charts provide key information about the proportion of qualified graduates between 1980 and 2008. The units are measured in percentages .
The bar chart illustrates the a mannual percentages of students from 11 to 16 years according to what the means they use to go to schools and how much miles they have to pass to reach schools in the UK.
The line graph provides information about the association between age and crime in the UK last year, while the pie chart illustrates the types of crime in the UK in the same year.
The pie charts compare the revenue from 5 industry sections in Togo in the year 2000 and the predictions for the year 2050. The data is measured in billions.
The given graph illustrates the number of criminal incidents divided into three categories: burglary, car theft and robbery over the 9-year period.
The plan presents and shows a harbour in 2000 and how it looks today.This essay will summarise that and compare the two plans.
The chart illustrates the amount of spending on infrastructure in four countries between the years 1990 and 2005. The data is measured in percentages.
The two bar graph above illustrate the data concerning how the percentage of bus arriving on time and the number of complaints from guests in the US during the period between 1999 and 2003.
The bar chart illustrates how many households in the US received income (less than $25,000, $25,000-49,999, $50,000-74,999, $75,000-99,999, $100,000 or more) in 2007, 2011 and 2015. Units are measured in millions.
The column chart gives data relating to the proportion of sexual identity who had no ability to read and write on a global scale as reported in the previous year.
The provided pie graphs outline data regarding the various used types of transporting among 4 different means, which are cars and buses, bicycles and walking. in one european city namely Cambridge over a period of two ye
This bar chart depicts data about how families in one country spent their weekly earnings between different periods. Overall, we can see that food, housing, clothing and footwear recorded the highest numbers in 1968. On
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