Writing Multiple Chart, Graph, and Table Reports

Writing Multiple Chart, Graph, and Table Reports Introduction

1. Write one sentence that paraphrases the question statement. 2. Write a trend sentence with TWO parts.

Paragraph Two

This paragraph must describe and compare the information in the FIRST part of your trend. Write sentences that describe, compare, and summarise the information connected to the first main part of the trend sentence in the introduction. Do not write any opinions! 1. Describe the highest amount and compare it to another part of the graph or chart. 2. Describe a part of the information that is the same level or amount and compare it to something else. 3. Describe a part of the information that shows the biggest increase or difference and compare it to something else. 4. Describe a part of the information that shows the lowest amount and compare it to something else and try to write about 6 or 7 sentences.

Paragraph Three

This paragraph must describe and compare the information in the SECOND part of your trend. Write sentences that describe, compare, and summarise the information connected to the second main part of the trend sentence in the introduction. Do not write any opinions! 1. Describe another amount and compare it to another part of the graph or chart. 2. Describe a part of the information that is the same level or amount and compare it to something else. 3. Describe a part of the information that shows a difference and compare it to something else. 4. Describe a part of the information that shows another amount and compare it to something else and try to write about 6 or 7 sentences.

Conclusion

1. Write one sentence that paraphrases your ideas in the trend sentence from the introduction.

Worldwide Water Consumption Line Graph and Table Sample

The graph and table below give information about water use worldwide and water consumption in two different countries.

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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. The trend shows that global water needs rose significantly between 1900 and 2000 and that agriculture accounted for the largest proportion of water used. It can also be seen that water consumption was considerably higher in Brazil than in the Congo.

In 1900, around 500km³ 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 water use for agriculture had increased to around 3,000km³, industrial water use had risen to just under half that amount, and domestic consumption had reached approximately 500km³.

In the year 2000, the populations of Brazil and the Congo were 176 million and 5.2 million, respectively. Water consumption per person in Brazil, at 359m³, was much higher than that in the Congo, at only 8m³, and this could be explained by the fact that Brazil had 265 times more irrigated land.

To conclude, global water needs rose in all three categories, but most significantly in the agricultural sector.

Daily Demand for Electricity Line Graph and Pie Chart Sample

The line graph and the pie chart below show the typical daily demand for electricity during the summer and winter seasons and what this electricity is used for.

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The line graph compares daily electricity consumption in England during the winter and summer, while the pie chart shows information about the different uses of this electricity in an average English household. It is clear that English homes use around double the amount of electricity in the winter compared to the summer. Throughout the year, just over half of the electricity consumed by English households is used for heating rooms and water.

In the line graph, the typical daily demand for electricity is divided into two categories, winter, and summer usage. Clearly, more electricity is being used during the winter months. In fact, as much as double compared to the summer months. The lowest demand for daily electrical power, for both seasons, is between six and nine hours. After this, both rise steadily, but not dramatically. After 14 hours of daily use, both the winter and summer amounts plateau for about five hours reaching a peak after 23 hours of daily use. In the pie chart, slightly more than half, 52.5% of the household electricity is used for heating the home and heating water, most likely during the winter months. The other three categories are at similar percentages, which when combined together, still account for just under half the total of the amount of electricity that is used. Larger appliances use accounts for 17%, lighting and entertainment device use accounts for 15% and smaller electrical appliance accounts for 15% as well. Overall, the charts show the typical daily demand for electricity during the summer and winter seasons and how electricity is used in four different household categories.

Sources of Complaints Pie Chart and Bar Chart Sample

The graphs below show how the sources of complaints and the average time of investigation are documented for an international finance corporation.

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The graphs show how the sources of complaints in seven categories and the average time of the investigation that has been documented for an international finance corporation. It is clearly shown that most of the complaints, recorded at 63 percent, come from the general public over the four-year period that is given.

The pie chart shows that the public was the main source of more than half of the complaint that was made from 2001 to 2004. The next largest complaint category, which was recorded from insurance companies, was 55% lower than the highest recorded group. This shows a dramatic difference between the highest and the next highest complaint category.

The remaining five categories only account for 29% of all other complaints, which is 34% lower than the highest category of complaints made by the public sector. Interestingly, 11% of these complaints are made by the government sector, which is 3% more than the insurance sector.

To conclude, complaints made by the public were the largest category, with a difference of more than a third.

The Flu Pie Chart, Bar Chart, and Line Graph Sample

Below is an example question with a bar chart, a pie chart, and a line graph in one question. No need to worry because the information is all about one topic, ‘the flu’. In June 1996, an experimental flu vaccine was trialled in a large country town on females only.

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The diagrams show data for a flu epidemic which hit a large country town in 1996. The pie chart shows the number of persons who died, the bar chart shows the percentage breakdown of females who received a new flu vaccine. The line graph shows the number of cases of flu before and during the epidemic. The trend from the information shows data for a flu epidemic, which affected a large country town. According to the information, females over 65 had a higher risk of flu infection in 1996.

In the pie chart, it can be seen that the flu was responsible for the deaths of two females, but no male deaths from March to May. However, from June to August, there were four female deaths and one male death. According to the pie chart, only those females most at risk were given the new flu vaccine. 28% of women did not take part in the trial. Of those females who did take part, 35% were over 65 years old, 24% were babies or children, and 13% were either hospitalized or receiving other medical attention.

From the line graph, it can be seen that the new vaccine had a positive effect on the number of new cases of flu reported for females. There were just over 1,000 cases reported in March, climbing rapidly to a peak of 3,500 in June. Thereafter, the number of cases dropped slowly to about 2,800 in August, before levelling off at 2,500 for the rest of the year. For males, the figures were lower but showed a similar trend throughout the epidemic.

Overall, the charts and the graph show information and data for a flu epidemic.

Family Spending Four Pie Charts and a Line Graph Sample

The charts below show the percentage of their food budget the average family spent on restaurant meals in different years. The graph shows the number of meals eaten in fastfood restaurants and sit-down restaurants.

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The graphs show that over the past 30 years, the average family has dramatically increased the number of meals that they eat at restaurants. The trend suggests that the percentage of the family's food budget spent on restaurant meals has steadily climbed.

First of all, just 10% of the food budget was spent on restaurant meals in 1970, and 15% in 1980. That percentage more than doubled in 1990, to 35%, and rose again in 2000 to 50%.

The places people had their restaurant meals also changed during that 30-year period. In 1970, families had the same number of meals at fast food and sit-down restaurants. In 1980, families consumed slightly more frequently at sit-down restaurants. However, since 1990, fast food restaurants had served more meals to families than sit-down restaurants. Most of the restaurant meals from 2000 were eaten at fast-food restaurants.

If this pattern continues, eventually the number of meals that families have at fast-food restaurants could double the number of meals they have at sit-down restaurants.

Money Spent on Crops Line Graph and Bar Chart Sample

The graphs below show the amount of money spent on protecting crops and how crops are damaged in three different regions of the world in 2005.

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The two graphs show how money was spent on the protection of crops and the damage that was done in 2005 in Australia, Europe, and Africa. The trend suggests that the damage to crops in Australia was the highest and that Australia also spent the largest amount of money to protect crops over the year.

Looking first at the amount of money that was spent on the protection of crops, it is obvious, that Africa started, in January, at a low of 200 million dollars. It then increased slightly to 400 million dollars but fell at the end of the year to around 375 million. Europe spent 800 million at the beginning of the year but fell to a low of 400 million. After a slight decrease, between January and June, Australia rose significantly to a high of 900 million dollars.

Australian fires caused the highest amounts of damage to crops with 900 thousand hectares being burned down. The highest contributors to damages in Europe were floods covering 650 thousand hectares followed by insects at 550,000. In Africa, insects were the main factor of damage at 700,000, with fires being slightly lower at 600,000 hectares.

To conclude, Australia suffered from the highest amount of crop damage due to fires, which led to the highest amount of money being spent on their protection.

Visitors to Britain Bar Chart and Table Sample

The graph and table below show the changes in the number of overseas visitors and the top 5 visitor countries to Britain in 2004 and 2005.

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The bar chart gives detailed information about overseas visitors, while the table lists the top five visiting countries. The trend clearly shows that the number of visitors to Britain remained steady with a slight amount of change among the top five visitor countries over the two years that are shown.

Not only in December 2004, but also in December 2005 the highest number of visitors was recorded at 800,000 people. While in June, it was slightly lower for both years. The lowest recorded number was in March of 2004 with only 100,000 visitors, whereas in September of 2005 this number rose to 300,000 visitors.

It is clearly shown that out of the top five visitor countries, Japan and Australia changed their positions, with the former being the first country in 2004, and the latter in 2005 with a slight increase of 2%. South Korea stayed in third place over a two-year period. China and South Korea were the second to last countries with a change of 7%. The biggest change of 13% is shown between the two last countries South Korea and India, the latter being fifth in 2005.

To conclude, visitor numbers in Britain remained steady, while there was just a slight percentage change comparing the top five visitor countries over the two years given.

Snack Food Consumption Bar Chart and Line Graph Sample

The chart below shows the amount of snack food consumption in four US cities.

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The chart shows the amount of snack food consumption in four different categories for four large American cities. The trend suggests that of these four American cities, the majority of snack food consumption takes place in the city of Boston since it has the highest recorded amounts of snack bar and cookie consumption. The lowest amounts are seen in San Diego. The chart shows that Boston has the highest recorded amounts of snack bar and cookie consumption, while the lowest amounts, for these same categories, are seen in San Diego. In Boston, snack bar consumption is recorded at just over 2,500 in millions of dollars, which is only slightly higher than New York and Los Angeles. San Diego has the lowest recorded amount of snack bars consumed at only just over 1,000 in millions of dollars. Cracker and snack consumption is low for all four categories compared to the number of dollars that are spent on bars and cookies, with San Diego having the lowest amount of cracker consumption. Cookie consumption is highest in Boston with 3,500 spent in millions of dollars. This amount is significantly higher than New York’s and Los Angeles’ cookie consumption which is recorded at just under 1,000 less spent in millions of dollars. San Diego has the lowest consumed amount of cookies for all four cities listed. Overall, the highest amount of dollars spent on snack food was recorded in Boston, and the lowest amounts were recorded in San Diego.

Occupations and Hours Worked Bar Chart and Pie Chart Sample

The bar chart below shows the average number of hours worked per week for 8 different occupations. The pie chart shows the amount of stress-related illnesses that people suffer from for these same 8 occupations.

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The bar chart shows the average number of hours worked per week for 8 different professions. The pie chart shows the amount of stress-related illnesses that people suffer from for the same 8 jobs. The trend suggests that movie producers and businessmen work the most, with the least amount of stress, while lectures, work the least and have the most amount of stress.

According to the bar chart, businessmen, movie producers and doctors worked the highest number of average hours per week at 70, 60 and 51 hours each. These three occupations worked comparative much more than lecturers, lawyers, and chefs. On average the former three job categories worked 20 hours more than the latter three. The lowest number of hours worked was recorded by the lecturer category. According to the pie chart, the three jobs that recorded the highest levels of stress-related illness were lecturers, movie producers and doctors at 25%, 18% and 10% respectively. Two of the jobs, movie producers and doctors also worked the most. Interestingly, lecturers who worked the least average amount of hours per week had the highest levels of stress-related illness, while businessmen recorded a much lower stress-related percentage at only 11%. Overall, movie producers and doctors work the most and have high levels of stressrelated illnesses associated with their occupations.

Household Tasks Bar Chart and Table Sample

The chart shows the division of household tasks by gender in Great Britain.

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The bar chart shows the average number of minutes per day men and women in Great Britain spend on jobs around the house. The trend suggests that women do more of the household chores compared to men. According to the information shown, men only spend two-and-a-half hours on household tasks, whereas women spend slightly more than four hours. Women spend more than twice as much time doing kitchen tasks at 74 minutes compared to men who only do 30 minutes. This is a difference of more than double. Women are also more active in cleaning the house. 58 minutes of their day is spent cleaning, compared to only 13 minutes for men. Similarly, women put in more than twice as much time as men for childcare, with 25 more minutes of this kind of care being provided by women. On the other hand, men are more active in the garden and with pet care, where they spend twice as much time as women. For maintenance and odd jobs around the house, men spend 15 minutes more than women do. Women account for almost all the time spent on washing and ironing clothes with a significant difference of 23 minutes spent on these chores by women. In fact, men spend only two minutes on this task. Overall, the information shows that women spend more time on routine domestic chores than men, while men do more household maintenance, gardening, and pet care.

Evening Courses Attendance Pie Chart and Bar Chart Sample

The bar chart below shows the numbers of men and women attending various evening courses at an adult education centre in the year 2009. The pie chart gives information about the ages of these course participants.

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The bar chart shows the number of men and women who attend four evening courses at an adult education centre and the pie chart illustrates the percentages of mature students according to their age group. The trend suggests women attended more of the evening courses, except for the sculpture sessions, and that these courses were more attractive to older adults, particularly for those who are over 50 years old.

In 2009, 20 females attended the drama class, which is double the number of males in the same class. More people went to the painting class at this centre than the drama one as shown in the chart, with 30 ladies and around 25 gentlemen attending. The least popular course was for sculpture, in which the number of men was unusually higher than women, with five more for the former. The language course was frequently attended by women, with 40 of them going to it, in comparison to just 20 men.

The popularity of these four courses increased with age. Only 5% of young adults under 20 joined the courses, while 42% of the older students who attended these evening classes were from the 50 and over age group. The percentage of participants in the courses increased by around 5 to 10% every decade, from students in their 20s to those in their 40s.

Overall, women generally went to more of the evening courses, many of which were attended by older adults

Living Alone Bar Chart and Pie Chart Sample

The bar chart below shows the proportions of English men and women of different ages who were living alone in 2011. The pie chart compares the numbers of bedrooms in these one-person households.

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The first chart compares the percentage of English people living alone in terms of age distribution by gender in the year 2011. The second chart gives information about how many bedrooms these households had in the same year. The trend suggests that women aged 65 and over were more likely to live by themselves than men in England. At the same time, it is also noticeable that the majority of one household lived in a two-bedroom residence.

According to the bar chart, there were more men who lived alone than women in age groups under 65. Close to 65% of men aged 35 to 49 lived by themselves in that year, but this proportion shrank with age. From 65 onward, it is shown that the figure for women who lived alone was increasing, at around 63% in the 65 to 74-year-old bracket and that there was 76% in the 85 and over age group.

In the pie chart, it can clearly be seen that for all age groups, 35.4% of one-person households, in England, lived in a two-bedroom residence. There were similar percentages of people living alone in one bedroom and a three-bedroom house, at 28% and 29.8%, respectively. Only 1.4% of one-person households lived in houses that had more than five bedrooms.

Overall, a higher number of older women lived alone compared to men, and most English residents lived in a two-bedroom house.

Smartphone Ownership Bar Chart and Two Pie Charts Sample

The graphs and charts below show the findings from a study carried out in a university about smartphone ownership by gender and the companies used.

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The bar graphs and the pie charts show some data from the findings of a university study that was carried out concerning smartphone ownership organized into categories by gender and the telecom carriers that were used by the different smartphone users. The trend suggests that slightly more men-owned a smartphone over women, with Phonefast having the majority of the users both male and female. The bar chart shows male smartphone ownership was slightly higher than female ownership, with a difference of only 175 people surveyed. Surprisingly, 163 male respondents stated that they do not have a smartphone, and 84 women reported that they too did not own a smartphone. Interestingly, more than 79 men admitted to not having a phone at all, and this is the same group with a higher number of smartphone owners. No period of time is given, nor is the total number of people who were surveyed at this university. The pie charts show Phonefast with the highest percentages among men and women for smartphone use. The men using Phonefast were reported at 34%, while the percentage for women’s use was at 45%. 9% more women reported in the survey that they were connected to Phonefast. The second highest percentages were seen Supafone with men showing a percent use of 30% and women’s use being reported at 40%. This is a combined share of 70%, and the difference between the male and female users was 10% more for female Supafone users. Mobicall had the lowest percentages for women only at 15%. The male percentages or this company where much higher at 36%. This rate is more than double the female one.

Overall, more men-owned smartphones and had them connected to Phonefast.

Survey Results Table and Two Pie Charts Sample

The table below shows the number of visitors to the Ashdown Museum during the year before and the year after it was refurbished. The charts show the result of surveys asking visitors how satisfied they were with their visit, during the same two periods.

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The table shows the number of visitors who went to the Ashdown Museum before and after it was refurbished, while the pie charts show the result of some surveys asking visitors how satisfied they were with their visit based on five criteria. The trend suggests that most the visitors who were surveyed were very dissatisfied, or satisfied, before the refurbishment, compared to those people who stated that they were either very satisfied or satisfied, after the refurbishments.

In the year before the refurbishment, 74,000 visitors went to the museum and 40% of those people who were surveyed stated that they were “dissatisfied”, with another 30% stating that they were only “satisfied”. This reporting shows that 70% of these respondents were not “very satisfied” with the refurbishments, and in fact, only 15% of the people who were surveyed stated they were very satisfied. Dissatisfaction and “no response” accounted for 15% of those individuals who were surveyed. In the year after the refurbishment, 18,000 more visitors went to the museum than the year before, and the respondents had answers that were quite different, with 70%of those people who were asked stating that they were either “very satisfied” or “satisfied” with the refurbishments. This is a total flip-flop in satisfaction compared to the year before the refurbishment. The biggest changes can be seen with a 20% increase in those who stated they were “very satisfied”, and a 25% decrease in those who stated that they were “dissatisfied”. Additionally, the “very dissatisfied” and “no response” groups dropped by 5%, after the refurbishment. Overall, after the museum was refurbished it was attended by more visitors who were more satisfied with their visit.

Higher Education Two Pie Charts and Table Sample

The charts and table below show the percentage of school leavers entering higher education (college and universities), and graduate earnings one year after graduation.

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The two pie charts illustrate the total percentage of school leavers entering postsecondary studies and the earnings of graduates one year after their graduation, based on national averages. The trend suggests that the rate of graduates who go on to continue their education has more than doubled in the 20 years that are shown, while the earnings reported for these graduates have remained the same in the higher earner’s category, with significant changes in the other three categories. In 1987, the total number of graduates who continued their education was only 14%. This is much lower than the figure given in 2007. One year after graduation, the graduate earnings were as follows. The largest category was reported for those graduates who earned “More Than the National Average” at 46%. The percentage reported for those that earned “Less Than the National Average” was at 25%, which is almost half the former group. The graduates who earned “More Than Double the national Average” were reported at 18% and ‘Unemployed’ graduates represented only 11% of all students. In 2007, those students who were going to enter higher education had increased significantly to 35%. There was very little change for the “More Than the National Average” group, with an increase of only 1%. The most substantial change can be seen in the group of graduates who earned “Less Than the National Average”, with a difference that had almost doubled to 45%. Unlike this, the remaining two categories decreased quite a bit. The group of “More Than Double the National Average”, decreased by 13%, and the “Unemployed” group went down by 8%, respectively. Overall, the pie charts show that there was an increase in the number of graduates who went on to continue their education, and there was also some increase in their earnings.

Reasons for Travel Pie Chart and Bar Chart Sample

The charts below show reasons for travel and the main issues for the travelling public in the US in 2009.

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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 was the dominant factors relating to travel in the US in 2009.

Report on Migration Line Graph and Bar Chart Sample

The chart gives information about UK immigration, emigration, and net migration between 1999 and 2008.

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The chart gives information about UK immigration, emigration, and net migration between 1999 and 2008. The trend suggests that both immigration and emigration rates rose over the period shown, but the figures for immigration were significantly higher. Also, net migration peaked in 2004 and 2007.

In 1999, over 450,000 people came to live in the UK, while the number of people who emigrated stood at just under 300,000. The figure for net migration was around 160,000, and it remained at a similar level until 2003. From 1999 to 2004, the immigration rate rose by nearly 150,000 people, but there was a much smaller rise in emigration. Net migration peaked at almost 250,000 people in 2004.

After 2004, the rate of immigration remained high, but the number of people emigrating fluctuated. Emigration fell suddenly in 2007, before peaking at about 420,000 people in 2008. As a result, the net migration figure rose to around 240,000 in 2007 but fell back to around 160,000 in 2008.

Overall, both immigration and emigration rose, but the former went up much more than the later.

Temperatures and Rainfall Line Graph and Bar Chart Sample

The climograph below shows average monthly temperatures and rainfall in the city of Kolkata.

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The chart compares average figures for temperature and precipitation over the course of a calendar year in Kolkata. The trend suggests that monthly figures for precipitation in Kolkata vary considerably, whereas monthly temperatures remain relatively stable. Rainfall is highest from July to August, while 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 20°C to a peak of just over 30°C. The average rainfall in the city also rises over the same period, from approximately 20mm of rain in January to 100mm 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 precipitation, to a low of about 10mm in December, and a steady drop in temperatures back to the January average.

To conclude, as can be seen, the highest recorded temperatures and rainfall occurred during the months of July, August, and September in Kolkata

Causes of Worldwide Land Degradation Pie Chart and Table Sample

The pie chart below shows the main reasons why agricultural land becomes less productive. The table shows how these causes affected three regions of the world during the 1990s.

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The pie chart and the table together explain the reasons for land degradation all over the world and they show the areas particularly in North America, Europe, and Oceania. The trend shows the main causes of worldwide land degradation are over-grazing, deforestation, and over-cultivation According to the pie chart, it is apparent that over-grazing accounts for the biggest part, at 35%, and agriculture business plays the third important role at 28%, while the decrease in the second-highest category for forests makes up for 30% of the land degradation. The remaining causes are not named but are put in the “other category” containing 7% in total. The diagrams show the land degradation situation in three continental areas. Europe has the most degraded land, at 23%, compared to the second seriously exhausted area of Oceania, at 13%, and North America, at a lesser figure of 5%. Over-grazing explains the most part of degradation in Oceania while deforestation and over-cultivation are both serious issues in Europe. To conclude, over-grazing, deforestation and over-cultivation have seriously caused worldwide land degradation.

Results of Adult Education Multiple Chart Sample

The charts below show the results of a survey of adult education. The first chart shows the reasons why adults decide to study. The pie chart shows how people think the costs of adult education should be shared.

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The summary of a survey on adult education is presented in the 2 charts. The bar chart summarizes the factors that caused adults to continue their education, while the pie chart shows the public opinion regarding the cost-sharing for adult education. The trend suggests that the survey showed mixed opinions regarding the reasons and cost-sharing for adult education and that most of these costs should be paid individually.

According to the bar chart, 40% of the respondents mentioned “interest in the subject” as the reason they decided to go back to school. This factor was followed closely by the “aim to gain qualification” at only 2% than the highest category. Only 9% of the survey participants said that they went to school in order to meet more people and this category was the least popular among the seven that were given.

Regarding cost-sharing, people are of the opinion that the majority of fees should be covered by the individual at 40%, while 35% of them believe that the employers should lend the helping hand showing a difference of 15%. Taxpayers are only expected to contribute 25% to adult education which is the lower percent giving in this chart.

Overall, the charts show the breakdown of a survey done to show the results of adult education and where the costs to do this should come from.

Travel To and From the UK Multiple Chart Sample

The charts below give information about travel to and from the UK, and about the most popular countries for UK residents to visit.

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The diagrams show data on the number of international tourists who travelled to the UK and the UK residents who travelled outside the UK for a period of 10 years, from 1979 until 1999. The data also presents the countries where UK citizens travelled in 1999. The trend suggests that the number of international tourists travelling the UK continued to increase after 1989 and that more UK citizens travelled outside the UK than the number of tourists who travelled to the UK.

According to the line graph, around 10 million international tourists travelled to the UK and the number of UK residents travelled outside the UK was also just over 10 million. Both of these numbers gradually increased until 1986 and after that, the number of UK citizens travelling outside increased quite sharply. The number of tourists to the UK kept on increasing and reached over 25 million in 1999 while more than double this amount of people travelled to other countries from the UK. The number of UK travellers who went to other countries was more than double the number of people who came to the UK for a visit.

The bar graph shows the countries UK citizens travelled in 1999 and among them France was their most favourite destination where about 12% of tourists travelled to during that year. The second most visited place was Spain where about 11% of British tourists travelled to. Other countries visited by UK tourists were the USA, Greece, and Turkey all of which were reported at less than 5%. Overall, the information shows the number of travellers to and from the UK, and about the most popular these people went to.

Exports Earnings Bar Chart and Table Sample

The chart below shows the value of one country’s exports in various categories during 2015 and 2016. The table shows the percentage change in each category of exports in 2016 compared with 2015.

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The bar chart gives information about how much money has been earned from exporting several items into one country for two years only, those being 2015 and 2016, with the units being measured in billions of dollars. The table chart shows the percentage change in values of each export product in 2016, compared with 2015. The trend suggests that most of the exports in 2016 generated more money than those of 2015 except engineered products and that the categories related to textiles had the highest percentage of increase from 2015 to 2016.

According to the bar chart, there were about 72 billion dollars which were gained from exporting petroleum products in 2016, this figure was higher than that of 2015 showing an increase of about 10 billion. The amount of money earned in 2016 was higher than that of 2015 in exporting engineered goods at around 61 billion which is about 17 billion more than the year before. In contrast, there was a noticeable difference in exporting gems and jewelry since the 2015 amount was slightly higher than 2016 hovering between 41 and 42 billion. The amount of money earned in agricultural products for both years was about the same amount at around 31 billion and textiles were about 5 billion less than this at around 26 billion dollars.

According to the table, the percentage change in almost all of the categories tended to increase from 2015 to 2016 excluded gems and jewelry goods. Textiles had the highest percentage change in 2016 compared to 2015 with 15.2%, while there was only 0.81% increase belonged to agricultural products. The petroleum products and engineered goods had an increasing percentage of 3% to 8.5% showing a difference of 5.5%. And the percentage of gems and jewelry items decreased to 5.18% in 2016 compared to 2015. Overall, four out of five of the export products showed increases from 2015 to 2016.