IELTS Academic Writing Task 1 Report Checker
Instantly and precisely evaluate your IELTS Academic task 1 report (bar chart, line graph, table, pie chart, process diagram, map, multiple graphs) with detailed feedback
(Looking for writing task 1 letter checker/writing task 2 checker?)
Click here to explore thousands of task 1 reports written by our users
Overall Band Score
0.0Task Response
0.0Coherence & Cohesion
0.0Lexical Resource
0.0Grammatical Range & Accuracy
0.0Improved Naturalness Comparison
Enhanced Report Comparison
Disclaimer
This tool should be seen as a guide rather than a definitive score. Just like human reviewers, AI can be subjective, and the score provided may be accurate within 75%-95% when compared with an official IELTS score. Use this tool to complement your study, but not as a substitute for professional assessment or official IELTS grading.
Introducing the Ultimate IELTS Academic Writing Task 1 Report Checker: Instant, Accurate, and Free!
Say hello to our cutting-edge, AI-driven IELTS Academic Writing Task 1 Report Checker, designed to transform your test preparation experience! This impressive online tool provides instant, accurate, and free correction and evaluation of your IELTS reports, ensuring you’re on the right track to success.
Our advanced AI technology meticulously assesses your writing, delivering comprehensive feedback and invaluable insights to help you excel in IELTS Academic. With this powerful assessment tool at your fingertips, you can confidently hone your writing skills and achieve your desired IELTS score.
Experience the future of IELTS test preparation today – try our innovative IELTS Academic Writing Task 1 Report Checker now!
Band 7.5
The diagram illustrates the changes that took place on a farm named Beachwood Farm from 1950 to the present day.
Overall, the area experienced significant changes, with roads, parking, solar panels, holiday cottages, a camping field, and huts being developed, while the farmhouse, barn, and river remained largely unchanged.
In 1950, the farmland consisted of livestock (sheep and chickens), vegetables, fruit trees, and soft fruit. Also, there were road tracks across the farm, and the barn and farmhouse were located next to the chickens section. Additionally, Beachwood Farm was surrounded by a river and has remained there until the present.
Today, the area has experienced noticeable transformation. The section allocated to sheep now has four solar panels, a camping field with huts, and two car parks at opposite ends of the farm. Furthermore, in terms of modifications, the barn was repositioned to the centre of the farm, and roads were constructed. Whereas, the farmhouse and river remained in the same position.
Band 8.0
The pie charts illustrate information on the multiple causes of flight delays in a country across the continent of Asia from 2015 to 2016. Units are measured in percentages.
Overall, it is clear that airline operations management increased significantly over the period, while air traffic control declined. In addition, military factors and airport security accounted for the lowest figures in all years shown.
At the beginning of the period, airline operations management stood at 40%. This was followed by a steady increase to 46% in 2016. Meanwhile, air traffic control started at 25% and declined to a low portion of 12% in 2016.
Looking at the remaining data, airport security experienced a dramatic rise from 4% of the proportion, reaching 13% by the end of the period. Bad weather recorded 2% growth from 21% to 23% at the end of the period. In contrast, military factors declined steadily from 10% in 2015 to 6% in 2016.
Band 7.5
The maps illustrate the changes that took place in a small village across the west of Ireland between 2000 and 2008.
Overall, the area experienced significant changes, with numerous houses being developed and markets being demolished in place of restaurants, while the hotel and shops remained largely unchanged.
In 2000, the village construction map shows that there were four houses, four shops, a hotel, and two markets that were located next to the dock on the river. Additionally, farmland occupied the other side of the area.
By 2008, the area had undergone noticeable transformation. The number of houses multiplied, and farmland and the market were converted into a recreational park (with plants and flowers) and restaurants, respectively, while a car park was constructed next to the hotel. Another addition to the village is the development of a dock on the river. Furthermore, the shops and hotel remained in the same positions.
I think engnovate is overrating my reports, what do you think? I got 8 on this…
The table gives data about the change in population proportion for a specific age category (65 and above) in Canada, Germany, and the UK in 1988, 2000, and the future projections of 2030.
In general, it can be seen that the change in population in Germany was the highest during the given period and is expected to stay dominant, whereas the UK showed the lowest change.
Looking first at Canada, the number started at 16.32% in 1988 before increasing to 20.67% in 2000. Future predictions indicate that the rate will rise to reach 26.35% in 2030.
In terms of Germany, the proportion recorded the highest numbers of all time, starting by 20.45% in 1988, and reaching 25.32% in 2000. It is predicted that the number will increase to reach 30.42% in 2030.
Regarding the UK, having risen from 14.23% to 14.89% in 2000, the figure is projected to make up to 20.35% in 2030.
Great job
Band 8.5
The four pie charts illustrate the distribution of individuals working across different sectors (manufacturing, sales, and services) from 1960 to 2010 in town A and town B. Units are measured in percentages.
Overall, it is clear that manufacturing accounted for the largest proportion in all four charts. Meanwhile, services increased steadily, whereas sales declined.
In town A, manufacturing represented the largest share at 41% in 1960, while sales and services accounted for 30% and 29% respectively in the same year. In 2010, manufacturing declined to 20%, services recorded a larger proportion of 64%, while sales accounted for 16% in the same year.
In town B, the majority of the share went to manufacturing at 70% in 1960; the other categories accounted for 20% and 10% respectively in the same year. In contrast, manufacturing experienced a decrease, reaching 53% in 2010, while sales and services made up smaller proportions, reaching 22% and 25% respectively.
BAND 7.5
The graph compares the fertility rate in the United Kingdom in 6 types of age brackets between 1973 and 2008.
Overall, women aged 25 to 29 remained at the highest birth rate throughout the period, while the age group 40 and over stayed at the lowest rate. In addition, there was a declining trend for the rest of the four out of six age groups.
In 1973, those between the ages of 25 and 29 recorded the greatest number, achieving 140 births per 1000 women. After experiencing some fluctuation, it ended at just below 120 births in 2008. People aged 40 and over consistently had the lowest birth rate, starting at 20 births per 1000 people in 1973 and falling gradually to around 10 in 2008. During the same period, the birth rates for women aged under 20 and those aged 20 to 25 also saw a decline. The former started from 60 births per 1000 women then decreased to 40, whereas the latter from roughly 125 to about 95 births.
The remaining age groups followed a completely different pattern, with birth rates witnessing an upward trend. Birth rates for the 30-34 age group increased from around 70 to nearly 85. The rate for people aged 35 to 39 showed a gradual increase between 1973 and 1988, followed by a more marked rise, reaching nearly 65 births per 1000 women.
silly donkey coming
yes I am
Band 7.5
The line graph illustrates the outcome of three surveys on work absenteeism in a country in Europe in 2000, 2005, and 2010. Figures are measured in percentage.
Overall, it is clear that the illness category increased dramatically. Family responsibilities experienced a substantial growth, while personal needs (appointments, etc.) and unexpected problems (transport, weather, etc.) saw little to no growth. On the other hand, stress was the lowest in the projection and remained low throughout the period.
To start with, illness is recorded to be the most popular all through from 2000, 2005, and 2010, reaching nearly 45%, exactly 40%, and 35%, respectively. Although family responsibilities experienced a slight rise to just over 25% of respondents in 2000, it remained stable at precisely 25% in both 2005 and 2010.
In contrast, under 10% of the respondents had unexpected problems (transport, weather, etc.) in 2000. A proportion of 15% was allocated to this same category in 2005 and 2010. On the lower end, stress was reported to be a little over 5%, less than 5% in 2005, and went over 10% in 2010, staying low in the projection.
my 107th BAND 9.0 (perfect band 9) — i am going to take the test soon 🙂 —
The pie charts below illustrate the revenue sources of a children’s charity located in the USA in 2016, and how it spent them.
Overall, the children’s charity received the most revenue from donated food and spent most of the funds on program services.
To begin with, regarding revenue sources, donated food accounted for 86.6% of $53,561,580, higher than community contributions at 10.4%. This meant that the sum of the highest and the second-highest percentages reached more than 95%. Furthermore, program revenue accounted for 2.2%, and investment income and government grants each stood at 0.2%, making both categories with the lowest percentages. Meanwhile, other revenue accounted for 0.4%.
Moving on to expenditures, the children’s charity spent 95.8% of $53,224,896 on program services. As for fundraising and management and general expenses, they were recorded at 2.6% and 1.6%, respectively. Interestingly, the difference between the highest and the second-highest percentages was more than 90%, which was very significant.