Câu hỏi:

19/08/2025 1,270 Lưu

The graph below shows the percentage of unemployed people aged between 15 and 24 in five European countries in 2005, compared with the overall percentage of unemployment in those countries.
Summarise the information by selecting and reporting the main features, and make comparisons where relevant. Write at least 150 words.

Quảng cáo

Trả lời:

verified Giải bởi Vietjack
The graph below shows the percentage of unemployed people aged between 15 and 24 in five European countries in 2005, compared with the overall percentage of unemployment in those countries.  Summarise the information by selecting and reporting the main features, and make comparisons where relevant. Write at least 150 words. (ảnh 1)

Sample 1:

The provided bar graph illustrates data from five European nations in 2005. It is about the rate of total unemployment as compared to the unemployment of a specific younger age group.

Overall, it is obvious that the rate is substantially greater among the younger generation when compared to global figures.

According to the graph, Poland had the highest total unemployment rate in 2005. 37% of its 15% overall unemployed were between the ages of 15 and 24. Germany was the second most struck by the crisis, but the impact on the younger generation was less severe than in Poland. When compared to the national unemployment rate of 10%, the proportion of the 15-24 age group who were unemployed was little under 15.

When the general unemployment rate in Italy and Hungary was between 6 and 8, the proportion of jobless youngsters aged 15 to 24 years. It was approximately 24 and 17%, respectively, which was higher than in Germany. Denmark was the least hit by the crisis. The proportion of young people unemployed there was over 8%, compared to only 3% in the total unemployment data.

Sample 2:

The bar chart depicts the unemployment rates of young individuals aged 15-24 as well as the entire workforce in five European nations in 2005.

In terms of the proportion of unemployed young adults, Denmark had the lowest result (just over 5%). Germany and Hungary had around three times the rate of young unemployment as Denmark. Italy and Poland had the highest unemployment rates, at around 23% and 37%, respectively.

In terms of total unemployment rates, Poland also had the highest result in this category. In Poland, 15% of the workforce was unemployed, but in Germany, 5% fewer individuals were unemployed. Italy and Hungary followed, both with approximately 6-7% total unemployment. In Denmark, the unemployment rate was only about 3%.

In general, the data shows that young unemployment rates were much higher than overall estimates in all of the nations included. Poland was top in both categories, while Denmark was last. Italy and Germany were in the middle, with Hungary representing the overall average.

Sample 3:

The given bar chart compares five different countries in terms of the proportion of jobless individuals aged 15 to 24 and the overall unemployment rate in 2005.

Overall, it is notable from the chart that Poland recorded the highest unemployment rates, while Denmark experienced the lowest. Another key observation is that the unemployment rate among the 15-24 age group was higher than that of the total population in all the countries surveyed.

In Poland, over 35% of individuals in the 15-24 age bracket were jobless, more than double the figure for the total population, both of which were by far the highest among the five countries. Italy and Hungary displayed similar trends, albeit with smaller disparities between the two rates. The unemployment rate among 15-24-year-olds in these countries ranged from approximately 18% to 24%, while the overall unemployment rate was around 8%.

Germany showed that just under 15% of those aged 15-24 were unemployed, which exceeded the overall rate by about 5%. Meanwhile, Denmark had the lowest figures, with only 3% of the total population facing unemployment and around 7% of young individuals aged 15-24 being jobless.

Sample 4:

The bar graph compares the unemployment rates between the 15 to 24 age group and the total population, in five different nations in Europe in 2005. Overall, the unemployment rate of the young cohort was higher than the overall percentage for all given countries. Additionally, Poland recorded the highest proportion for both categories, whereas Denmark experienced the lowest.

In terms of individuals aged 15 to 24, approximately 36% of Polish youths were jobless, which was significantly higher than Italy and Hungary at roughly 23% and around 16%, respectively. Moreover, the unemployment rate of youngsters in Germany was nearly 15%, while that of Denmark was the lowest result at about 7%.

Turning to the overall unemployment rate, Poland documented a national rate of precisely 15%, followed by Germany at one-tenth. Furthermore, Italy and Hungary exhibited comparable percentage points of around 7%, which was about double that of Denmark.

Sample 5:

The graph compares the unemployment rates of individuals aged 15-24 with the overall unemployment rates in five European countries in 2005.

It is evident that the unemployment rate among the 15-24 age group consistently exceeded the overall unemployment rate across all five countries. Notably, Poland recorded the highest figures in both categories.

Specifically, Poland had the highest overall unemployment rate, at around 15%, with a significantly higher youth unemployment rate of 37%. Italy and Hungary had relatively similar overall unemployment rates, at 7% and 8% respectively, but differed in youth unemployment. Italy’s youth unemployment rate was notably higher at 23%, compared to Hungary’s 17%.

Germany and Denmark presented more balanced employment figures between age groups. Germany, with the second-highest overall unemployment rate of 10%, had a youth unemployment rate of 14%, only 4% higher than the general rate. Denmark, however, had the lowest overall unemployment at 3% and the smallest youth unemployment rate at 7%, reflecting the least disparity between the two categories.

Sample 6:

The bar chart illustrates the percentage of unemployed people aged between 15 and 24 in five European countries in 2005, compared with the overall unemployment rate in those countries.

Overall, young people aged 15 to 24 faced higher unemployment rates compared to the overall population in all five European countries. Poland had the highest youth unemployment rate, while Denmark had the lowest rates for both youth and overall unemployment.

A closer examination of the chart reveals that Poland had the highest youth unemployment rate, at 38%, while the overall unemployment rate was significantly lower, at 15%. Italy followed, with a youth unemployment rate of 24%, and an overall unemployment rate of 8%. Hungary also exhibited a notable disparity between the youth and overall unemployment rates, with youth unemployment at 17% and overall unemployment at 7%.

In contrast, Germany showed a smaller gap between youth and overall unemployment rates, with 14% youth unemployment and 10% overall unemployment. Denmark had the lowest rates among the five countries, with youth unemployment at 7% and overall unemployment at 4%. Notably, Denmark was the only country where youth unemployment was lower than the European average.

Sample 7:

The bar chart provides information about the unemployment rates of young adults aged 15-24 and that of the total workforce in five European countries in the year 2005.

Looking at the proportion of jobless young adults, the lowest figure was recorded in Denmark (just over 5%).  Germany and Hungary had approximately three times higher youth unemployment rates compared to Denmark. The highest unemployment rates were observed in Italy and Poland, about 23% and 37% respectively.

As regards the overall unemployment rates, Poland witnessed the highest figure in this category as well.  Fifteen percent of the Polish workforce was jobless while 5% fewer people were idle in Germany. Italy and Hungary came next with similar levels of overall unemployment, nearly 6-7%. In comparison, Denmark had only around 3% unemployed people.

In general, what stands out from the chart is that the youth unemployment rates were significantly higher than the overall figures in all the listed countries. Poland ranked the first in both the categories while Denmark came last. Italy and Germany were in the halfway marks with Hungary representing the overall mean.

Sample 8:

The provided bar chart compares and contrasts the unemployment rates of young people aged 15 to 24 with the overall unemployment rates in five European countries in 2005. Overall, the data reveals that youth unemployment consistently exceeded the general unemployment rate across all five countries. Poland experienced the highest rates in both categories, while the opposite was true for Denmark.

As illustrated, Poland's youth unemployment rate reached approximately one-third (33%), significantly surpassing its overall unemployment rate of 15%. No other country surveyed had such a substantial gap between youth and general unemployment. In contrast, the rate of Danish young people who did not have a job remained relatively low at just over 5%, with an overall rate of jobless personnel around 2-3%.

Italy, Hungary, and Germany exhibited youth unemployment rates ranking second, third, and fourth, respectively. While Italy and Hungary showed a noticeable difference between the two groups of unemployment, similar to Poland, Germany's rates were more comparable, with the overall proportion of those in between jobs at 10%, only slightly lower than its youth unemployment rate.

Sample 9:

The bar chart depicts the percentage of unemployed individuals aged 15 to 24 in five European countries in 2005, compared with the overall unemployment rate in those countries.

Overall, young people aged 15 to 24 encountered higher unemployment rates compared to the overall population across all five European countries. Poland reported the highest youth unemployment rate, while Denmark recorded the lowest rates for both youth and overall unemployment.

A closer examination of the chart reveals that Poland had the highest youth unemployment rate, at 38%, while the overall unemployment rate was significantly lower, at 15%. Italy followed, with a youth unemployment rate of 24%, and an overall unemployment rate of 8%. Hungary also exhibited a notable disparity between the youth and overall unemployment rates, with youth unemployment at 17% and overall unemployment at 7%.

In contrast, Germany showed a smaller gap between youth and overall unemployment rates, with 14% youth unemployment and 10% overall unemployment. Denmark had the lowest rates among the five countries, with youth unemployment at 7% and overall unemployment at 4%. Notably, Denmark was the only country where youth unemployment was lower than the European average.

CÂU HỎI HOT CÙNG CHỦ ĐỀ

Lời giải

The table and the chart below provide a breakdown of the total expenditure and the average amount of money spent by students per week while studying abroad in 4 countries. Summarise the information by selecting and reporting the main features, and make comparisons where relevant. Write at least 150 words. (ảnh 1)

Sample 1:

The bar graph illustrates the overseas students' spending on accommodation, tuition, and living expenses, while the table depicts information about the average weekly expenses by international students in four countries: A, B, C, and D.

Overall, foreign students need to spend the highest in country A and the lowest in D. In nearly every nation, the international students’ weekly average living expenses are the greatest, while their housing cost registers the lowest.

The costliest country for studying is A, with a weekly average expense of 875 dollars. This is followed by B, C, and D, which have weekly expenses of 735, 540, and 435 dollars, respectively. However, foreign students always pay the least for accommodation, which incurs on average weekly 220, 280, 240, and 200 dollars in the nations A, B, C, and D, respectively.

On the other hand, living expenditures account for the highest portion of average weekly costs for international students in countries A, B, and C, with 430, 350, and 275 dollars, correspondingly. Tuition fees in the same countries (A, B and C) come in second with the weekly averages of 358, 320, and 250 dollars in order. However, D is the only nation where education accounts for the highest average spending area, coming in at USD 235, followed by the cost of living (USD 225) and housing (USD 200).

Sample 2:

The table illustrates information regarding the weekly spendings by overseas students in four countries, A, B, C and D, while the bar graph depicts the students’ expenditure on the sectors, housing, education fees and living expenses.

Overall, the cost of studying abroad is the highest in country A and the lowest in D. Apart from country D, living costs account for the most part of the weekly spendings in all countries, while accommodation registers the least.

Regarding the total cost of studying, A is the most expensive country with weekly average 875 dollars, followed by B, C and D with 735, 540 and 435 dollars, respectively. On the other hand, the overseas students always spend the least on accommodation, which are on average weekly 220, 280, 240 and 200 dollars in the corresponding countries A, B, C and D.

Considering the living cost, it takes the largest share of foreign students’ average weekly expenses in countries A, B, and C with 430, 350 and 275 dollars, respectively, while tuition fees in the same countries hold the second place with weekly average 358, 320 and 250 dollars, sequentially. However, D is the only country where tuition fee occupies the highest expenditure with average weekly 235 dollars, followed by living cost (USD 225) and accommodation (USD 200.)

Sample 3:

The table and bar graph depict information regarding the weekly spendings by overseas students in countries A, B C and D.

Overall, there are three elements, housing, school fees and living costs that contribute to the total weekly spendings. The total expenditure in country A is the highest while it is the lowest in country D. Living costs account for the most part of the weekly spendings in all countries except D.

The total mean weekly cost for pupils to study in country A is US$875, next by country B at US$735, and then by country C at US$540, and finally by country D at US$435. The living costs are always the biggest component of the expenditure except for country D, with about US$10 less than the major spending which is the school fees.

Accommodation accounts for the least among all spendings in all countries. The most expensive housing is found in country B, at US$280, and the cheapest in country D at US$200. The middle range can be seen in country A at US$220 and country C at US$240, respectively. Costs of the tuition fee range between US$ 358 and US$235 in country A and D, in order.

Lời giải

The charts below show reasons for travel and the main issues for the travelling public in the US in 2009. Summarise the information by selecting and reporting the main features, and make comparisons where relevant. Write at least 150 words. (ảnh 1)

Sample 1:

The bar chart and pie chart give information about why US residents travelled and what travel problems they experienced in the year 2009.

It is clear that the principal reason why Americans travelled in 2009 was to commute to and from work. In the same year, the primary concern of Americans, with regard to the trips they made, was the cost of travelling.

Looking more closely at the bar chart, we can see that 49% of the trips made by Americans in 2009 were for the purpose of commuting. By contrast, only 6% of trips were visits to friends or relatives, and one in ten trips were for social or recreation reasons. Shopping was cited as the reason for 16% of all travel, while unspecific ‘personal reasons’ accounted for the remaining 19%.

According to the pie chart, price was the key consideration for 36% of American travellers. Almost one in five people cited safety as their foremost travel concern, while aggressive driving and highway congestion were the main issues for 17% and 14% of the travelling public. Finally, a total of 14% of those surveyed thought that access to public transport or space for pedestrians were the most important travel issues.

Sample 2:

The bar chart compares the figures for Americans going out for five reasons and the pie chart illustrates the percentage of six problems that concerned them when travelling in 2009. Overall, it is clear that the main reason why people in the US went out in 2009 is to commute to work, and the cost of travelling is the problem concerning them the most.

Looking first at the bar graph, the proportion of Americans going out for commuting to work stood at 49%, while the figure for those leaving their house for personal reasons accounted for 19%. In addition, the rate of people in the US going out for shopping and recreation made up 16% and 10%, respectively, while visiting friends or relatives accounted for the lowest percentage, at only 6%.

Turning to the pie chart, the cost of travelling was the most concerning problem of Americans when going out, with the figure making up 36%, while the proportion of safety concerns is half of that, at 19%. In addition, 17% of US citizens were concerned about aggressive drivers, while highway congestion made 14% of them worried when leaving their house. Access to public transportation and places for people to walk accounted for the lowest percentages, at only 8% and 6%, respectively.

Sample 3:

The provided charts offer insights into the reasons for travel and the primary concerns faced by the traveling public in the United States during the year 2009. The data is presented through a bar chart illustrating travel purposes and a pie chart highlighting key issues.

Notably, the primary motivation for travel among Americans in 2009 was commuting to and from work. Simultaneously, the major concern for the traveling public during their trips revolved around the cost associated with travel.

Examining the bar chart in detail reveals that almost half of the trips made by Americans in 2009, precisely 49%, were attributed to commuting. Conversely, visits to friends or relatives accounted for a mere 6%, while social or recreational trips constituted one in ten journeys. Shopping emerged as the purpose for 16% of all travel, leaving the remaining 19% for unspecific ‘personal reasons.’

Turning attention to the pie chart, it becomes evident that cost was the primary consideration for 36% of American travelers. Safety closely followed, with nearly one in five people, or 19%, expressing it as their foremost travel concern. Aggressive driving and highway congestion were significant issues for 17% and 14% of the traveling public, respectively. Additionally, 14% of respondents identified access to public transport or space for pedestrians as the most crucial travel issues.

Sample 4:

The bar chart shows why American people chose to travel, and the pie chart shows the main issues for the travelling public in the USA, both for 2009. The trend suggests that the reason and price were the main issues for travel in the United States. It is clear that commuting from work was reported as the biggest contribution to travel, at 49%. People who went travelling for personal reasons and shopping accounted for 35% when these two groups are combined. However, interaction with friends and relatives only accounted for 25% less than the above categories. And social and recreational activities took up only 6%, which was the lowest figure by more than 43%. The travelling public’s main issues were related to price and safety, with 55% of respondents reporting these two issues. While other issues accounted for a relatively small part. Only 17% of the respondents reported issues with aggressive drivers, while highway congestion accounted for even less at 14% of the issues reported. The percentage of access to public transport and space for pedestrians was much lower than the other categories at less than 10% for both. To conclude, price and commuting time were the dominant factors relating to travel in the US in 2009.

Lời giải

Bạn cần đăng ký gói VIP ( giá chỉ từ 250K ) để làm bài, xem đáp án và lời giải chi tiết không giới hạn.

Nâng cấp VIP

Lời giải

Bạn cần đăng ký gói VIP ( giá chỉ từ 250K ) để làm bài, xem đáp án và lời giải chi tiết không giới hạn.

Nâng cấp VIP

Lời giải

Bạn cần đăng ký gói VIP ( giá chỉ từ 250K ) để làm bài, xem đáp án và lời giải chi tiết không giới hạn.

Nâng cấp VIP