Jo’rabek Sanoqulov

311 words]

The line graph describes how the proportion of three age groups has changed within a country since 1960 along with future predictions until 2040.

Overall, the shares of people aged 0-14 and 15-64 declined, and they are expected to continue decreasing in the future. In contrast, there was notable growth in the percentage of people aged over 65 – a trend which is predicted to continue until 2040.

Focusing on downward trends first, in 1960, just over half of the population were aged 15-64 (55%). This figure went up to 60% a decade later, at which point it remained relatively stable until 1990. It, however, had gone down by 10% by 2020, and it is estimated that the proportion of 15-64-year-olds will reach a low of 45% in 2040. Similarly, the percentage of the 0-14 age bracket fell substantially, going from just under a third initially to around 12% in 2020. It is forecast that this figure will drop further, making up a tenth in 2040.

On the other hand, the share of the elderly grew significantly. Standing at 15% initially, it rose gradually to 35% until 2020. Forecasts suggest that this pattern will continue well into the future, with the percentage of the 65+ age bracket peaking at 45% eventually.

The line graph describes how computer sales at three computer stores in Ho Chi Minh City changed from 2000 to 2005.

Overall, the sales of computers at the Tech Guys and Computer Plus generally grew, though to a varying degree. In contrast, there was a notable drop in computer sales at Laptop World.

Focusing on the stores which saw their sales grow, in 2000, 4,000 computers were sold at Computer Plus, and this figure had more than doubled two years later, reaching a high of 10,000. It, however, dropped to its initial level in 2003. This decline continued until the next year with a record low number of computers being sold, at around 3,000, before sales bounced back to 6,000 in the final year. The figure for the Tech Guys was relatively stable at 5,000 in the first two years, after which it gradually went up to a chart high of 14,000 in 2005.

In contrast, the number of computers sold at Laptop World went down substantially. Standing at 8,000 initially, computer sales at this store dropped by 2,000 within the first year. Although sales remained at this level until 2003, they declined by another 2,000 in the following year, at which point they remained stable until the end of the period.

The line graph describes how many stores were shut down and opened in a particular country in the space of 7 years (2011-2018).

Overall, the number of openings and closures both went down, albeit to varying degrees. Of particular note is the fact that while there were more openings than closures initially, the reverse was true at the end of the period.

In detail, the number of shops opened was at its all-time high of 8,500 in 2011 before it plunged to 4,000 the year after. The figure picked up afterwards, gradually rising to 6,000 in 2014, but the following year it dropped to 4,000 again. Subsequent two years the number of new shops opened virtually stood steady, but it went down by another 1,000 in the year 2008.

The number of closures followed a somewhat different trajectory to that of openings. It stood at around 6,500 in 2011, thereafter which it rose to a chart high of 7,000 two years later. Following that, it dropped to its initial point in 2014 before nose-diving to its all-time low of 500 in 2015. A year later, however, just over 5,000 shops were closed, a trend which persisted till the end of the period.

The line graph describes the changes in the amount of different kinds of meat consumed in a particular country in Europe over a 25-year period (1979-2004). Units are measured in grams per person per week.

From an overall perspective, the consumption of all types of meat fell with the exception of chicken. It is also worth mentioning that initially beef was the most consumed type of meat, but it was later surpassed by chicken. In contrast, fish was by far the least popular meat option for the entirety of the period.

Focusing on beef and chicken first, the former made up 220 grams of weekly intake per person in 1979, which dropped to 180 grams 2 years later. It, however, recovered quickly, reaching its all-time high of just under 250 grams in 1983. Over the years, the figure for beef dropped gradually, hitting a low of around 100 grams in 2004. As for chicken, though it was initially consumed in moderate quantities of about 150 grams, its figure subsequently grew to about 260 grams in 2004, making it the most common type of meat at the end.

Regarding lamb and fish, the weekly consumption of lamb stood at 150 grams in 1979, which had gone down to roughly 70 grams by the end of the period. Being the least favored type of meat, fish intake constituted around 60 grams in 1979, and it had dropped negligibly by about 20 grams by 2004.

The line graph compares how unemployment rate among young people aged 15-24 changed over a 12-year period (2000-2012) in five European countries.

Overall, the rate of unemployment grew noticeably in all European countries with the exception of Germany. Of a particular note are Italy and Germany, where unemployment rates were highest and lowest respectively for the better part of the period.

In detail, youth unemployment underwent a drastic rise in Britain and Sweden. In 2000, the rate of unemployment stood at 10% in Britain, which had doubled by 2008. This figure grew to about 27% in 2009, but it had fallen to a quarter three years later. Similarly, Sweden also saw its youth unemployment rate climb. While initially the rate stood at just over a tenth, it had gone up twofold by the end of the period.

The figures for the other countries also changed, albeit to a varying degree. The proportion of unemployed youth was just under 30% in Italy in 2000, which dropped to a fifth in 2008. This was followed by an exponential rise, hitting an all-time high of nearly 36% in 2012. The unemployment rate among young people also went up in France, going from 20% in 2000 to 25% in 2012. Finally, despite some fluctuations, the rate of youth unemployment remained unchanged in Germany, at about 10%.

The line graph compares the proportion of people watching TV and listening to the radio during a typical day in the UK in 1992.

In general, there are noticeable fluctuations in the use of both mediums, but it is clear that radio has a larger audience in the morning, while TV’s viewership in the afternoon and evening time is significantly higher.

Turning to the specifics, nighttime and early morning in October-December period of 1992 were the least popular span to the use of TV and Radio, with ratings being under 7% for a few hours. However, from 6 in the morning until around 12:30, radio was used by a much higher percentage of people, with a peak of 25% at approximately 8 o’clock.

Later in the day, after 13:00, there was a shift in preferences as TV’s audience was markedly larger on a consistent basis, reaching nearly 45% at around 20:00. In the meantime, radio’s audience saw an overall downward trend, decreasing from 15% at 13:00 to under 5% at 23:00.

The line graph illustrates changes in the popularity of five hobbies among the elderly in the US between the years 1980 and 2010.

In general, for nearly 24 years, watching TV was consistently the most common pastime among the senior American population but was overtaken by hiking, thanks to the latter’s constant upward trend throughout the period. In the meantime, significant fluctuations in the popularity of reading and theatre can be observed, while surfing the net is the least common hobby for nearly the entire timeframe except for the late 2000s.

In 1980, 60% of the elderly in the US watched TV in their free time, making it the most popular pastime among others. Around 50% of the older people visited theatres in their free time, and about 30% preferred reading in the same year. Hiking was practiced by only around 20% of the senior population, which is significantly lower than what this pastime reached in the following decades. For instance, ten years later, hiking increased to about 40% to become more common than visiting a theatre (30%) among the elderly. Interestingly, reading had a similar percentage to hiking at the time, while the TV was still the most popular free time activity (65%). TV’s reign continued and reached its peak in 2000 when 70% of the elderly in the US watched it in their free time. However, from that point on, TV’s popularity started decreasing gradually, and in about the mid-2000s, hiking eventually became the most common pastime among the older part of the American population. By the end of the presented period, hiking reached a point of 80%, whereas TV’s rates went down to about 65%.

While TV and hiking were competing for the title of the most followed pastime among the elderly in the US, reading and theatre both experienced dramatic changes. For example, reading’s popularity had dropped to 20% by 2000 but went up rapidly to 60% in 2000. As for theatre, after hitting its lowest percentage in 1990, it managed to go up to 40% in 2000 and about 45% in 2010, showing a significant upward trend.

Throughout the period, surfing the net was mostly the least common activity among the elderly (around 5% in 1980 and 15% in 2000) and, but thanks to massive growth in the 2000s, this leisure activity overtook theatre in the latter part of the decade as it finished the period with 50%.

The line graph provides information on popular free time activities among the elderly in the United States between 1980 and 2010.

Overall, among five hobbies, watching TV is the most common for a bigger part of the given timeframe. However, thanks to a constant upward trend, hiking managed to overtake television in mid-2000s, meaning the lifestyle of senior citizens became more active over time.

Turning to details, watching TV was the most popular pastime among the elderly in the US for a long time, rising from 60% in 1980 to 70% in 2000. In the meantime, hiking saw a more dramatic upward trend, helping it increase from 20% in 1980 to 60% in 2000. In the following decade, hiking’s rise continued to eventually overtake television as the most followed pastime among the United States’ senior population.

With regard to reading and theatre, these two hobbies saw fluctuations in the given period. To be specific, reading’s popularity started at 30% in 1980, hit a low of 20% in 2000, but eventually rose back to 60%. As for theatre, the proportion of the elderly visiting it decreased from 50% in 1980 to 30% in 1990, but eventually improved to 45% in 2010. Meanwhile, surfing the internet only really started becoming common in 2000s, consistently reporting the lowest proportions in the previous decades.

The line graph presents statistics on the numbers of male and female members in a particular gym from 1980 to 2010.

In general, there are major fluctuations in numbers, with men and women switching leading positions multiple times in the given timeframe. Both peaks, however, were recorded in the number of males as opposed to females.

In 1980, slightly over 2,000 men were a part of this gym, while the number of women stood at around a thousand. The numbers of both men and women nearly doubled by year 1986, and that is when the one of two peaks by males was reported. In the following years, after mild fluctuations, there was a rapid downward trend in the quantity of men attending the gym, whereas women were more active for a bigger part of the 1990s. During this period, in about 1995, around 2,800 women were registered as members of this gym. In the next decade, however, men regained the leading numbers, and in the mid-2000s, there were slightly over 5,000 male memberships, making it the highest figure in the entire graph. This peak was short-lived though, as in the second half of the 2000s, the number of males dropped significantly to its lowest point of about 600. In the meantime, the number of women dropped too, but not as sharply as men’s figures did. For instance, in 2010 (the final year of the span), around 1,800 women were a part of this gym in comparison to men’s lowest number.

The line graph compares the number of people who live in two Asian countries, namely China and India, over a 50-year period, starting from 2000.

In general, China has a larger population for a bigger part of the given timeframe, but India is expected to see a more rapid and consistent growth, which will make it more populated after the year 2030.

Turning to details, in 2000, India had a population of around a billion people, while China had approximately 1.25 billion at the time, indicating a massive gap between the two. In the following years, both countries saw upward trends, but India’s rise was more dramatic, which meant that the difference between the neigbours gradually diminished. As of now, 2023 to be exact, the gap between China and India is only about 70 million.

With regard to the predicted numbers, it is clear that India’s consistent increase will continue, whereas China’s growth is set to stop in 2030, the only year when both countries have similar population figures. Eventually, after years of constant growth, India is expected to reach a peak of 1.6 billion in 2050. In the meantime, China is projected to experience a gradual downward trend and drop to a point of approximately 1.4 billion.