IELTS Writing Samples by topic

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Given are two graphs concerning the culprit why land polutted issue.While the pie chart reveals the reason of degradation,the table illustrates this problem influence in some region,counted in percent,during the 90’s.Ove
A glance at two graphs provided reveals the main culprits why agricultural land becomes more unproductive and how these causes affected three sectors of the world, measured in percent, during the 1990s. Overall, over-gra

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The pie chart depicts the significant causes of being less prolific of farmland. The table compares how the three parts of the world were influenced by these causes in the 1990s.
The pie chart shows the proportion of major causes on becoming agricultural land less productive. The table illustrates the information about how these causes affected three regions: North America, Europe and Oceania; du
The graph indicates the fundamental logics of soil degradation in 1990’s; also the degrees of this soil productivity decrease in three various territories at the same decade are discussed.
The pie chart illustrates the causes of worldwide land degradation, while the table presents the reasons that influenced three regions (North America, Europe, and Oceania) during the 1990s.
The circle graph presents information about the primary causes of agricultural land degredation globaly in the 1990s, while the table presents the specific impacts of these causes on three regions North America, Europe,
The pie chart illustrates information about the reasons of land destruction worldwide, whereas the table demonstrates the causes by regions, within a scope of a decade during 1990s.
The given pie charts indicating some information regarding the prime reasons why agricultural land becomes less fruitful. A highest percentage of causes of worldwide land degradation is related to over-gazing accounting
The following pie graph and table represent worldwide possible causes of land degradation and the reasons for 3 regions for the year of 1990, respectively.
The chart provides information about the lack of productivity in the agricultural sector and there is a table illustrating the reasons that affected North America, Europe, and Oceania during the 1990s.
The pie chart and table illustrate some information about the causes of land degradation and its effects on three different regions of the world in the 1990s.
The pie chart illustrates some principal causes that contribute to the degradation of the land and the table demonstrates the negative effects on the three continents during the 1990s. All units were shown in percentage.
This pie chart illustrates that agricultural land has produced few amounts of produce for several main reasons. The table graph depicts different processes that affect three continents (North America, Europe and Oceania)
The given pie chart depicts the essential reasons (in percentage) why agricultural land becomes less productive in four categories (over-grazing, deforestation, over-cultivation, and other reasons), while the provided ta
The pie chart provides information on unproductive agricultural area and the table depicts the consequences for the three areas of the world through the 1990s.
The diagrams give information about the causative factors of agricultural downward productivity all over the world and the three affected regions with details in the 1990s. Overall, the trend classifies the four main rea
The pie chart displays the particular reasons for the unproductiveness of agricultural farms. Whilst, the table illustrates how the three regions are affected by land degradation during the period of 1990s. In general, o
The two charts give information about the percentage of the principal causes in the agricultural sector which influenced its productivity and their influences in three different world regions during the 1990s. Overall, t
The pie chart illustrates the main causes of land degradation while the table reveals three regions which played a significant role in this issue in different categories in the 1990s. Overall, it is clear that the over
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