Azamat IELTS | 8.5
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IELTS score: 8.5 (L 9, R 9, W 8, S 8)

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Azamat IELTS | 8.5
Day 2, task 1
The pie charts compare the percentages of waste materials in one country in two individual years: 1960 and 2011. They detail 9 various types of waste.


Overall, in 1960, the figures for paper and textiles had been much larger than the rest, with the former having the biggest share. Other proportions had been relatively smaller than the first-mentioned ones, while wood and glass had shared the smallest percentages. In 2011, however, because of the reduction in the rates of paper and clothing waste production, these two lost their dominance, and the biggest share was accounted for food, which experienced a substantial growth. Similar to food, plastic and wood waste showed an increasing tendency, whereas other materials’ figure became the smallest after a considerable decline. The rest had the same proportions.


In 1960, paper and textiles had made up the biggest shares, with respective 25% and 17%. While the figures for food and others had been equal, both having 5% lower proportions than clothing, plastic, metal and green waste had shared almost the same percentages at 8%. The smallest figures had been for glass and wood; they had had almost the same rates, a half of the figure for plastic.


In 2011, all figures showcased different changing patterns. There was a reduction in the shares of textiles and paper, with the former and the latter having a decline by 6% and 10%, respectively. The dominance in the second chart was overtaken by the figure for food, which experienced a noticeable growth and became almost twice of the rate for textiles. Wood and plastic’s percentages doubled, with the latter becoming 3% lower than the final rate for food. The rest stayed the same.


word count: 283 words
#writing #Azamat_types #road_to_nine #report #task1



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Azamat IELTS | 8.5
Task 1
What can you understand from the words in yellow?

word count: 172 words
#writing ##Azamat_types #road_to_nine #task1 #report #classwork

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Azamat IELTS | 8.5
Task 1
The pie chart and table compare the percentages of occupations nursing graduates had after the end of their studies in the UK in 2009.


Overall, by far the biggest share was true for working in health sector, while other categories had comparatively a lot smaller proportions. In the health-sector-working group, the largest figure was accounted for a hospital nurse position; the rest had lower percentages, with midwives and community nurses having slightly higher statistics than others.


To start with the pie graph, working in healthcare had by far the highest intake, staggering 84%. Other categories’ figures were all below 10%; working and studying was 8%, twice as high as the figure for the unemployed, whilst the remaining two, studying further and others shared equal percentages, a negligible 2% - the smallest proportion in the graph.


Turning to the table, it shows divisions in occupations graduates working in healthcare chose. A remarkable percentage, nearly 73% was the case for the figure in hospital nursing. Midwives and community nurse’s figures were a little higher than 10%, with the former having a slightly higher share than the latter had. While the figure for the others was mere, 2.7%, even smaller percentages were seen in paramedic (1.3%) and mental nursing (0.4%).


word count: 207 words
#writing #Azamat_types #road_to_nine #classwork #task1 #report


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Azamat IELTS | 8.5
Task 1
The pie chart and table compare the percentages of occupations nursing graduates had after the end of their studies in the UK in 2009.


Overall, by far the biggest proportion of the nursing graduates chose/preferred to work in healthcare, while other positions were not that popular; the sum of their percentages was far smaller than the single figure for working in health sector only. In the table, working in a hospital as a nurse was the most common choice, and the rest positions had quite less attraction, with midwives and community nurses having slightly higher figures than others.


In the pie chart, there were 5 choices nursing graduates made in the UK in 2009. The most prevalent one among these 5 was getting recruited in the healthcare; a staggering 84% of students did so. 8% of the graduates chose to work and study at the same time, a figure which was twice of the share for/of the unemployed. The least popular choices were studying further and others, both of which had the same percentages – 2%.


In the most common choice, healthcare employment, there were 6 distinct positions. Working in a hospital as a nurse was the most noticeable one; the figure for it, which was nearly 73%, was a lot higher than the rest. 12.4% and 10.3% of the graduates decided to work as midwives and community nurses, respectively. 2.7% of them were occupied in other positions, and the remaining two had even smaller percentages; paramedic and mental nursing with respective 1.3% and 0.4%.


Word count: 254 words
#road_to_nine #Azamat_types #writing #task1 #classwork #report


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The line graph compares the number of people attending in 4 distinct sports in an unspecified area from 1985 to 2005.

Overall, there were experienced different trends throughout the period. Rugby had had far more popularity at first; however, it was tennis which had the most engagement at the end. People’s interest to badminton and basketball stayed relatively unchanged.

To start with the only increasing figure, 150 people were involved in playing tennis at the start. A gradual growth was the case for the number of people playing this sport, and it had overtaken basketball, marking the final 225 by 2005.

In contrary to tennis, rugby saw a decline. Having started the period at nearly 250, the highest number initially, this number plunged to 50 – the lowest point in the whole graph.

As for the remaining sports types, badminton and basketball had almost the same numbers throughout the whole span. The former stood at about 70 and the latter at 50.


word count: 162 words
time: spent: 7 minutes
#road_to_nine #Azamat_types #writing #report #task1 #classwork


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Azamat IELTS | 8.5
Well, I am planning to write 10 task 1 reports tomorrow. Will I be able to do it, what's your odds? Btw, if you have any, literally any task 1 charts that you find difficult, send them👇. Gonna smash them all, nasib
The table compares Nigeria, Chad, Congo, and Somalia's oil manufacturing per day between 2000 and 2004. The data are given in barrels.


Overall, all countries, but Congo, raised their production units, with Chad significantly standing out with the biggest growth. Owing to the decline, Congo's dominance was overtaken by the Nigerian figure, which rose relatively stable.


In detail, Chad and Somalia had comparable amounts. The former had not had oil production records prior to the introduction to this industry made in 2003 with 8,000 barrels per day - the smallest production record in this year. After a year, this amount soared; it rose by staggering 42,000. Somalia, on the other hand, commenced the period with mere 5,000. After a gradual growth till 2003, when the amount reached 21,000, Somalians increased their oil production more than a double, marking ultimate 50,000 - equal to Chad's final standing.


Nigeria and Congo, unlike the previous two, produced much more oil throughout the period. Congo had manufactured by far the biggest amounts before experiencing consecutive decreases, and ending the span with 203,000 barrels per day. Its initial figure was 275,000. Starting the period with 205,000 barrels, Nigeria increased its oil manufacturing by 8,000, although this figure bottomed at 190,000 in 2002.

Word count: 205 words


#task1 #report #Azamattypes #road_to_9 #writing


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The bar graph is a comparison of the percentages of males and females in six age groups in Malaysia who is engaged in regular exercises.

Overall, women do exercises more in all groups, but the youngest one, in which men are slightly active. In the middle and late adulthood, women are particularly involved in sports, therefore, having much bigger discrepancies in comparison to men.

Aged between 15 and 24, Malaysians in the youngest group do more exercises in total than the rest groups do. While around 52% of men exercise regularly at this age, the biggest participation rate for men, women’s share is slightly lower than this figure; their difference is by about 5%. In the second group, 25-34, men’s involvement in regular exercises decreases; the percentage of males at this age doing exercises is 10% lower than the figure for the men in the youngest group. Women, however, are a little more active with just-below 50%. Seniors are almost equally engaged doing sports at approximate 47%.

The differences between the figures of males and females in the middle and late adulthood are much more pronouncing. From 35 to 64, women generally have equal engagement, approximately 52%. Men, unlike women, are a lot inactive. Only about 45% of men aged 55-64 do exercises regularly, while the percentage of exercise doing among men at 45-54 is even less, about 43%. In the last group, men’s involvement further decreases; only about 40% of men at the age between 35 and 44 do regular exercises, the smallest participation in the whole graph.

word count: 259 words
time spent: less than 15 minutes

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The line graph is a comparison of the numbers of six necessary outputs sold in WeBuy in the first half of 2020. Overall, all figures rose, but for e-devices and clothing, the former experiencing a drop and the latter showing no change. Before dwindling, and losing the popularity to food and drinks in WeBuy, electronics had been the most purchased items.

Food and beverages had been the second most sold items with 35,000 prior to a sharp increase by around 20,000 in March. This figure then gradually rose until June, marking the ultimate 60,000 sold items – the highest quantity in the whole graph. The numbers of sold books and movies, cleaning suppliers and toiletries, and medical suppliers were almost the same at about 10,000, with household cleaning items having less quantity. They all soared within 6 months, and all ended the span almost with the same numbers, at approximate 50,000.

Electronics and clothing products showed opposite trends. Before plunging to around 5,000 - equal to the initial figure for household cleaning items – the lowest number in the graph, the former had had the highest number of sales, 40,000. Although the quantity of clothing outputs sold in WeBuy rose to around 35,000 in the middle of the period, it ended the span at 20,000, the number equal to its initial standing.

word count: 220 words
time spent: idk

#writing #report #task1 #Azamattypes #road_to_9


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The line graph is a comparison of unemployment rates of the young aged between 15 and 24 in five distinct European countries from 2000 till 2012. Overall, the percentages of jobless youth almost in all countries rose, albeit at varying degrees. While Italy remained at the top with its worst joblessness statistics, Germany, although experiencing a visible fluctuation throughout the period, showed the same records both in 2000 and 2012.

Italy, Britain, Sweden, and France all showed an upward trend. Italian figure for youth unemployment had been the highest before declining by around 7% to 21% in the middle of the period. It, then, rocketed until the end, marking the ultimate 35% - the highest proportion in the whole graph. Having started the span at 20%, the youth joblessness rate in France saw a growth by around 5% in 2012, with noticeable oscillations during the period. Britain and Sweden shared almost the same rate initially – around 11%. They both experienced a relatively gradual rise, and finished the period with respective 24% and 21%.

Unlike others, Germany did not have differences between its initial and final standings. However, its figure did increase during the period; the percentage of German youth unemployment reached its peak at around 15% in 2005, after which the figure went on declining until hitting the final point, slightly less than 10%.

word count: 224 words
time spent: around 15 minutes

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The picture demonstrates the process of storm water recycling in an unspecified Australian city. Overall, this is a largely mechanical process involving special machinery and conditions, and made up of 2 main stages: initial collecting and matter removal, and further preparation for the usage.

The process starts when rain droplets are collected, and then, sent to a special drain tube. This tube leads water to a water recycling factory where it undergoes 4 staged cleaning process, all of which occur in special containers consecutively. In the first container, plastic and other visible rubbish are removed, which is followed by a small-particles-removal procedure. Afterwards, bacteria and viruses as well as molecules along with salt get removed in respective third and fourth containers.

Having been freed from various substances, the next step is further cleaning; the water goes to another container, in which chlorine is added to water in a 4 milligrams per litre ratio. After being cleaned with chlorine, water is stored for use on no rainfall days.

word count: 167 words
time spent: idk

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