Ielts wt1

Despite this figure doubling in 2004, the UK rose from third place with €1.5 million to lead the table with €20 million worth of sales in the same year.. Although families with 2 or more

ACTUAL 8.5+ WRITING TASK 1 GRAPHS AND CHARTS EXAMPLE 1

*Key features:

• Increased: brazil, jordan, luxembourg, NZ (similar patterns) 2

• Decreased: bahamas, chile, romania

• Highest: Lux >< Lowest: Cambodia

• Stability: Cambodia

• Most drastic changes: Brazil & Jordan

*Body 1: (increasing trends)

*Body 2: (decreasing trends)

*Body 3: (stability)

_

The table illustrates motor vehicle ownership per 1000 people in 8 countries in the years

1990 and 2000

Overall, there were rises in the per-capita numbers of motorized vehicles in Luxembourg, NZ, Brazil and Jordan, while Bahamas, Chile and Romania saw decreases It is also noticeable that the figure for Cambodia was negligible and it

stayed the same over the period

Looking first at countries with increases, motor vehicles were the most popular in Luxembourg, with 548 vehicles of this type owned per 1000 inhabitants , followed closely by the figure for New Zealand, at 531 vehicles per thousand people (vptp) Over the next decade, Luxembourg saw a considerable rise of almost 50% to 728 vptp,

far exceeding the figure for New Zealand, which rose slightly to 557 vptp and still retained its second place / However, the sharpest growth in motor vehicle ownership was

observed in Brazil and Jordan, whose figures both stood at 68 vptp at the beginning of

the period and soared to 135 and 157 vptp at the end

Moving on to countries that showed declining trends, despite recording a significant fall of almost 10%, to 287 vptp, Bahamas still retained its third position in terms of the popularity of motor vehicles Chile and Romania, meanwhile, witnessed a marginal

decrease, ending the period at 52 and 48 vptp respectively

Turning finally to Cambodia, it had an extremely low level of motor vehicle ownership, with rate being 1 vptp in both years

9.0 SCORE

EXAMPLE 2

The tables compare the sales figures for two Fairtrade products in the UK, Switzerland,

Denmark, Belgium, and Sweden in two separate years Overall, sales of Fairtrade

coffee increased in all five countries, while there was mixed success for similarly labelled bananas, and the leading country in each table had significantly higher sales than the rest

Sales of Fairtrade coffee were relatively modest in 1999, and Switzerland was the largest consumer with €3 million in sales Despite this figure doubling in 2004, the

UK rose from third place (with €1.5 million) to lead the table with €20 million worth

of sales in the same year A figure that was considerably higher than in any other country Although

the three remaining countries also saw increases, these were marginal with gains of

between 0.2 and 0.7 million euros

With Fairtrade bananas, Switzerland was again the leader in 1999 and dominated this table in both years, with sales increasing from €15 million to a striking €47 million

Although considerably lower, the UK and Belgium saw similar growths in this

category, increasing by just over 5 times their 1999 figures to reach €5.5 and €4 million respectively In contrast, Sweden and Denmark experienced a drop in sales, with the 2004 figures (€1 million and € 0.9 million) almost half of those of 5 years

earlier

EXAMPLE 3

The table gives information about the values of five different products/goods exported in two separate years (2009 and 2010)

Overall, export values of clothing and manufacturing witnessed a downward trend, whereas a reverse pattern can be seen in equipment, telecommunity and metals, with metals experiencing the most dramatic increase over the period In addition, in 2010, telecommunity overtook equipment to become the export with the greatest values

The overall export values saw a rise of 6.4 billion, increasing from 32 billion in 2009 to 38.4 billion in 2010 In 1997, equipment was the dominant category, with 10.3 billion worth of this product being exported Despite this figure going up to 11.6 billion, telecommunity rose from second place (7.9 billion) to lead the table with 12.7 billion worth of exports in the same year These figures contrast starkly with those for metals, which had relatively low export values in both years,

although they saw the most significant growth of 120%, from 2.3 to 5.1 billion

As for categories with a drop in export values, the amount of money earned from exporting clothing stood at 6 billion in the first year, which was marginally higher than that of manufacturing, at 5.5 billion In 2010, they both declined, falling to 5 billion and 4 billion respectively

The export value of …

= The exporting earnings from …

= The amount of money earned by exporting …

= The turnover from the exportation of/from exporting …

= 10.3 billion worth of … was exported (money + worth of + something)

This country’s exports primarily came from equipment and

telecommunity = Almost two thirds of this country’s exports came from

…

= The exportation of equipment contributed to almost two thirds of this country’s

total/aggregate export value

EXAMPLE 4

The bar chart shows the percentage of households with cars in a European country between

1971 and 2001

T

he bar chart illustrates car ownership trends in a particular country in Europe from 1971

to 2001 Overall, as more families owned 1, and 2 or more cars, the percentage of families with no car fell considerably Additionally, one-car families had become the most popular from 1991 onwards

Between 1971 and 1981, households with no car accounted for the largest share, with figures decreasing from 47% to 42% Families with one car also saw a decline,

and

these decreases corresponded with a significant rise in 2-or-more-car families, from

16% to almost 30%, but this figure was still the lowest

Over the following 20 years, there was a significant increase in the percentage of families owning one car, reaching the same peak with no-car families in 1971,

followed by a slight decline Although families with 2 or more cars fell considerably in

1991, they rose back to their 1981 peak 10 years later The most substantial fall (almost 15%) was observed in families with no cars in 1991, and this type of families then decreased slightly, reaching parity with two-or-more-car families at the end of the

period

EXAMPLE 5

The bar chart gives details of phone usage in the UK from 1995 to 2002 on three types

of phone line Overall, total phone use increased and the majority of calls were made using a fixed line However, towards the end of the period, local fixed line calls declined

as mobile phone use increased significantly

During the first four years, all categories increased steadily, although usage was dominated by local fixed line calls The data for these calls was consistently almost double that of national and international calls, with the former rising from over 70 billion to a peak of 90 billion minutes, while the latter rose from approximately 37 billion

to 48 billion These figures contrast starkly with the data for mobile phone calls in the same period, which began at approximately two billion minutes and saw only

gradual increases, climbing to ten billion minutes in 1998

The picture was very different from 1999 to 2002, when, despite retaining the top

position, local fixed line calls dropped back to their initial level and ended the period

only 10 billion higher than fixed line national and international calls, which increased

consistently throughout Notably, the drop in local calls corresponded with dramatic increases in mobile phone use, which, by 2002, had reached almost 45 billion minutes, considerably reducing the gap between all three categories

EXAMPLE 6

The chart below shows the number of households in the US by their annual income in

2007, 2011 and 2015

The bar chart illustrates how many American households fell into five different income

groups in the years 2007, 2011 and 2015 Overall, there were rises in the numbers of families in these groups, with the exception of those earning $50,000-74,999, whose figure stayed the same throughout

High-income earners, who typically earn $100,000 or more, generally outnumbered

their lower-income counterparts, with a figure of just under 30% in 2007 This figure then fell by about 2% four years later, when it was surpassed by the figures for the two lowest income groups This was followed by a significant recovery in 2015, with

approximately 34 million people earning an average of $100,000 or more Similar

changes, but to a lesser extent, can be seen in the size of $75,000-99,999 earners They formed a much smaller group compared to the others, with figures falling slightly to roughly 14 million in 2011 before increasing to exactly 15 million at the end of

the period

Moving on to those from the lower end of the income spectrum, the numbers of people making less than $25,000 and $25,000 to $49,999 annually both saw a rise of about 4

million, reaching their peaks of 28 million and almost 30 million in 2011 respectively.

They then both fell slightly in 2015

Turning finally to middle-income earners, they typically earned $50,000-74,999 per

year, and this was the only cohort that witnessed no change, with figures remaining

at 21 million in all three years

COMPARISON CHARTS

EXAMPLE 7 The chart below shows the type of transport young people in four

countries prefer to use

The bar chart illustrates three means of travelling preferred by young people in Great Britain, the USA, Germany and France

Overall, cars made up the vast majority of trips made by young people in all of the countries

examined, with the exception of Germany, where slightly more young Germans favored bicycles It is also noticeable that the least popular type of transport was motorcycles, apart

from the USA which witnessed a tiny proportion of bicycle riders.

Regarding types of transport with more travellers, car usage had the greatest preference level in France, with around 75% of young individuals in this country choosing to drive,

whereas as many young people in Great Britain preferred to travel by car as those in the USA, at 60% each Meanwhile, Germany was ranked the lowest among the four countries examined, although this means of transport was still the second most preferred choice among 40% of German youths In terms of the level of preference for bicycle, the percentage of bicycle riders in Germany outnumbered that of Great Britain, with around 45%

of the young in the former country favoring riding a bike compared to slightly under 30% among those in the latter country In comparison, France and the USA recorded significantly lower rates, with their figures ranging from a mere 10% to 15%

As for motorcycles, the USA was the dominant country in terms of the proportion of young individuals having preference for travelling by motorcycle (30%) / a significant portion of

young individuals in the USA travelled by motorcycle (30%), which was two times greater than the corresponding data for Germany (15%) Finally, levels of preference for this mode

of transport in Great Britain and France are the same, and make up noticeably lower proportions as opposed to the remaining types of transport, at 10% each

Young people in Vietnam

Young Vietnamese (people)

Vietnamese young people / individuals

Vietnamese youths / The youth

Young people in America

American young people

Young Americans

American youths

EXAMPLE 8

The chart below compares the percentage of time Australian mothers and fathers spent helping their children with four activities in 2013

The

bar chart illustrates the amount of time spent by mothers and fathers in Australia to offer their children help when they got dressed, did homework, played games and prepared for beds in the year 2013

Overall, mothers were far more likely than fathers to help their children with dressing and homework, whereas playing games accounted for the vast majority of paternal care time, and only in the activity of preparing for bed were the figures for mothers and fathers near parity It is also noticeable that regardless of any activities, the least time was spent by both parents

As for the amounts of time spent separately by mothers and fathers, mothers allocated a

significant portion of time to help their children get dressed (70%), which exceeded the amount

of time spent on lending a helping hand with children’s homework and making their beds, with

respective proportions being 60% and 45% By contrast, playing games received the least

maternal intervention, making up a quarter of total mothers’ time This is in stark contrast to

fathers, whose time allocation to the activity of playing games occupied a striking 70%, which

was interestingly also the peak data for mothers who helped with children’s dressing Guiding

their children to prepare for their beds took a half of fathers’ time, as opposed to homework

and dressing at 30% and 20% respectively

Regarding parental care, all activities involved considerably lower amounts of time, with all

percentages remaining under 10% Specifically, 10% of both parents’ time was allocated to

providing their children with guidance on their homework, while almost as much time was spent on dressing as on playing games, at around 5% each Notably, the lowest recorded data occurred in preparing for beds, which accounted for a tiny proportion of parents’ time

(around 3%)