考官Simon雅思小作文范文22篇文档格式.docx

1、The diagram illustrates the various stages in the life of a honey bee. We can see that the complete life cycle lasts between 34 and 36 days. It is also noticeable that there are five main stages in the development of the honey bee, from egg to mature adult insect. The life cycle of the honey bee beg

2、ins when the female adult lays an egg; the female typically lays one or two eggs every 3 days. Between 9 and 10 days later, each egg hatches and the immature insect, or nymph, appears. During the third stage of the life cycle, the nymph grows in size and sheds its skin three times. This moulting fir

3、st takes place 5 days after the egg hatches, then 7 days later, and again another 9 days later. After a total of 30 to 31 days from the start of the cycle, the young adult honey bee emerges from its final moulting stage, and in the space of only 4 days it reaches full maturity. （169 words, band 9）Th

4、e chart compares average figures for temperature and precipitation over the course of a calendar year in Kolkata. It is noticeable that monthly figures for precipitation in Kolkata vary considerably, whereas monthly temperatures remain relatively stable. Rainfall is highest from July to August, whil

5、e temperatures are highest in April and May. Between the months of January and May, average temperatures in Kolkata rise from their lowest point at around 20C to a peak of just over 30C. Average rainfall in the city also rises over the same period, from approximately 20mm of rain in January to 100mm

6、 in May. While temperatures stay roughly the same for the next four months, the amount of rainfall more than doubles between May and June. Figures for precipitation remain above 250mm from June to September, peaking at around 330mm in July. The final three months of the year see a dramatic fall in p

7、recipitation, to a low of about 10mm in December, and a steady drop in temperatures back to the January average. （173 words, band 9） Posted by Simon in IELTS The bar charts compare students of different ages in terms of why they are studying and whether they are supported by an employer. It is clear

8、 that the proportion of students who study for career purposes is far higher among the younger age groups, while the oldest students are more likely to study for interest. Employer support is more commonly given to younger students. Around 80% of students aged under 26 study to further their careers

9、, whereas only 10% study purely out of interest. The gap between these two proportions narrows as students get older, and the figures for those in their forties are the same, at about 40%. Students aged over 49 overwhelmingly study for interest （70%） rather than for professional reasons （less than 2

10、0%）. Just over 60% of students aged under 26 are supported by their employers. By contrast, the 30-39 age group is the most self-sufficient, with only 30% being given time off and help with fees. The figures rise slightly for students in their forties and for those aged 50 or more. （178 words, band

11、9）The bar chart compares the number of incidents and injuries for every 100 million passenger miles travelled on five different types of public transport in 2002. It is clear that the most incidents and injuries took place on demand-response vehicles. By contrast, commuter rail services recorded by

12、far the lowest figures. A total of 225 incidents and 173 injuries, per 100 million passenger miles travelled, took place on demand-response transport services. These figures were nearly three times as high as those for the second highest category, bus services. There were 76 incidents and 66 people

13、were injured on buses. Rail services experienced fewer problems. The number of incidents on light rail trains equalled the figure recorded for buses, but there were significantly fewer injuries, at only 39. Heavy rail services saw lower numbers of such events than light rail services, but commuter r

14、ail passengers were even less likely to experience problems. In fact, only 20 incidents and 17 injuries occurred on commuter trains. （165 words, band 9）The line graph compares the percentage of people aged 65 or more in three countries over a period of 100 years. It is clear that the proportion of e

15、lderly people increases in each country between 1940 and 2040. Japan is expected to see the most dramatic changes in its elderly population. In 1940, around 9% of Americans were aged 65 or over, compared to about 7% of Swedish people and 5% of Japanese people. The proportions of elderly people in th

16、e USA and Sweden rose gradually over the next 50 years, reaching just under 15% in 1990. By contrast, the figures for Japan remained below 5% until the early 2000s. Looking into the future, a sudden increase in the percentage of elderly people is predicted for Japan, with a jump of over 15% in just

17、10 years from 2030 to 2040. By 2040, it is thought that around 27% of the Japanese population will be 65 years old or more, while the figures for Sweden and the USA will be slightly lower, at about 25% and 23% respectively. The table shows percentages of consumer expenditure for three categories of

18、products and services in five countries in 2002. It is clear that the largest proportion of consumer spending in each country went on food, drinks and tobacco. On the other hand, the leisure/education category has the lowest percentages in the table. Out of the five countries, consumer spending on f

19、ood, drinks and tobacco was noticeably higher in Turkey, at 32.14%, and Ireland, at nearly 29%. The proportion of spending on leisure and education was also highest in Turkey, at 4.35%, while expenditure on clothing and footwear was significantly higher in Italy, at 9%, than in any of the other coun

20、tries.It can be seen that Sweden had the lowest percentages of national consumer expenditure for food/drinks/tobacco and for clothing/footwear, at nearly 16% and just over 5% respectively. Spain had slightly higher figures for these categories, but the lowest figure for leisure/education, at only 1.

21、98%.The charts compare the amount of water used for agriculture, industry and homes around the world, and water use in Brazil and the Democratic Republic of Congo. It is clear that global water needs rose significantly between 1900 and 2000, and that agriculture accounted for the largest proportion

22、of water used. We can also see that water consumption was considerably higher in Brazil than in the Congo. In 1900, around 500km of water was used by the agriculture sector worldwide. The figures for industrial and domestic water consumption stood at around one fifth of that amount. By 2000, global

23、water use for agriculture had increased to around 3000km, industrial water use had risen to just under half that amount, and domestic consumption had reached approximately 500km. In the year 2000, the populations of Brazil and the Congo were 176 million and 5.2 million respectively. Water consumptio

24、n per person in Brazil, at 359m, was much higher than that in the Congo, at only 8m, and this could be explained by the fact that Brazil had 265 times more irrigated land. （184 words, band 9）The bar chart compares the cost of an average house in five major cities over a period of 13 years from 1989.

25、 We can see that house prices fell overall between 1990 and 1995, but most of the cities saw rising prices between 1996 and 2002. London experienced by far the greatest changes in house prices over the 13-year period. Over the 5 years after 1989, the cost of average homes in Tokyo and London dropped

26、 by around 7%, while New York house prices went down by 5%. By contrast, prices rose by approximately 2% in both Madrid and Frankfurt. Between 1996 and 2002, London house prices jumped to around 12% above the 1989 average. Homebuyers in New York also had to pay significantly more, with prices rising

27、 to 5% above the 1989 average, but homes in Tokyo remained cheaper than they were in 1989. The cost of an average home in Madrid rose by a further 2%, while prices in Frankfurt remained stable. （165 words）The table gives information about poverty rates among six types of household in Australia in th

28、e year 1999.It is noticeable that levels of poverty were higher for single people than for couples, and people with children were more likely to be poor than those without. Poverty rates were considerably lower among elderly people. Overall, 11% of Australians, or 1,837,000 people, were living in po

29、verty in 1999. Aged people were the least likely to be poor, with poverty levels of 6% and 4% for single aged people and aged couples respectively. Just over one fifth of single parents were living in poverty, whereas only 12% of parents living with a partner were classed as poor. The same pattern can be seen for people with no children: while 19% of single people in this group were living below the poverty line, the figure for couples was much lower, at only