The graphs show the deaths in
Someland in 1990 and medical research funding in the same location during the
same year.
The graphs compare the number of
deaths caused by six diseases in Someland in 1990 with the amount of research
funding allocated to each of those diseases. It can be clearly seen that the
amount of research funding in many cases did not correlate with the seriousness
of the disease in terms of numbers of deaths.
In 1990 there were around 0.2 million deaths from AIDS, 0.1 million deaths from leprosy, 0.3 million deaths from tropical diseases, 0.5 million deaths from diarrhea, 0.4 million deaths from malaria and 1.8 million deaths from TB. These figures can be contrasted with the amount of funding allocated for each disease. In 1990 AIDS received 180 million dollars in research funding, leprosy 80 million dollars in research funding, tropical diseases 79 million dollars in research funding, diarrhea 60 million dollars in research funding, malaria 50 million dollars and TB 20 million dollars in research funding.
In conclusion it is clear that funding allocation for disease research in some land is not wholly determined by the number of deaths for which each disease is responsible in a given year.
In 1990 there were around 0.2 million deaths from AIDS, 0.1 million deaths from leprosy, 0.3 million deaths from tropical diseases, 0.5 million deaths from diarrhea, 0.4 million deaths from malaria and 1.8 million deaths from TB. These figures can be contrasted with the amount of funding allocated for each disease. In 1990 AIDS received 180 million dollars in research funding, leprosy 80 million dollars in research funding, tropical diseases 79 million dollars in research funding, diarrhea 60 million dollars in research funding, malaria 50 million dollars and TB 20 million dollars in research funding.
In conclusion it is clear that funding allocation for disease research in some land is not wholly determined by the number of deaths for which each disease is responsible in a given year.
The
pie charts below show the highest level of education in Someland in 1945 and
1955
The pie charts compare the highest
level of education achieved by women in some land across two years, 1945 and
1995. It can be clearly seen that women received a much higher level of
education in some land in 1995 than they did in 1945.
In 1945 only 30% of women completed their secondary education and 1% went on to a first degree. No women had completed post-graduate studies. This situation had changed radically by 1995. In 1995, 90% of women in some land had completed secondary education and of those, half had graduated from an initial degree and 20% had gone on to postgraduate studies. At the other end of the scale we can see that by 1995 all girls were completing lower secondary, although 10% ended their schooling at this point. This is in stark contrast with 1945 when only 30% of girls completed primary school, 35% had no schooling at all and 35% only completed the third grade.
In conclusion, we can see that in the 50 years from 1945 to 1995 there have been huge positive developments to the education levels of women in some land.
In 1945 only 30% of women completed their secondary education and 1% went on to a first degree. No women had completed post-graduate studies. This situation had changed radically by 1995. In 1995, 90% of women in some land had completed secondary education and of those, half had graduated from an initial degree and 20% had gone on to postgraduate studies. At the other end of the scale we can see that by 1995 all girls were completing lower secondary, although 10% ended their schooling at this point. This is in stark contrast with 1945 when only 30% of girls completed primary school, 35% had no schooling at all and 35% only completed the third grade.
In conclusion, we can see that in the 50 years from 1945 to 1995 there have been huge positive developments to the education levels of women in some land.
The table graph shows the hours of
leisure time enjoyed by people of different age group.
The table shows how people in
different age groups spend their leisure time in Someland over the course of a
year. It can be clearly seen that the amount of leisure time available varies
considerably across the age groups and that people of different age levels have
very different ways of spending their leisure time.
According to the figures, as people age in Someland their social lives reduce. Teenagers and people in their twenties spend on average 500 hours per year on socialising and 350 hours of that time is with a group of more than 4 people. Although the total hours of socialising in their 30s, 40s, 50s and 60s is fairly constant (between 300-350), socialising with more than 4 people drops dramatically to 50 hours in the 30s and 40s age groups and only 25 from 50 years old. Group and individual exercise follow a similar pattern.
People of all ages spend a good part of their leisure time on entertainment such as TV/video viewing and cinema. In both cases, teenagers and retired people spend around twice as much time as those who are at working age. Home entertainment ranges from just over a thousand hours for teenagers and retired people and an average of 600 hours for everyone else. Cinema accounts for 100 hours of the teenagers and retired people’s leisure time and 25-50 hours for the rest.
In conclusion we can see there is a significant trend towards solitary and smaller group activities as people grow older and that teenagers and retired people spend a lot more time on entertainment than those of working age do.
According to the figures, as people age in Someland their social lives reduce. Teenagers and people in their twenties spend on average 500 hours per year on socialising and 350 hours of that time is with a group of more than 4 people. Although the total hours of socialising in their 30s, 40s, 50s and 60s is fairly constant (between 300-350), socialising with more than 4 people drops dramatically to 50 hours in the 30s and 40s age groups and only 25 from 50 years old. Group and individual exercise follow a similar pattern.
People of all ages spend a good part of their leisure time on entertainment such as TV/video viewing and cinema. In both cases, teenagers and retired people spend around twice as much time as those who are at working age. Home entertainment ranges from just over a thousand hours for teenagers and retired people and an average of 600 hours for everyone else. Cinema accounts for 100 hours of the teenagers and retired people’s leisure time and 25-50 hours for the rest.
In conclusion we can see there is a significant trend towards solitary and smaller group activities as people grow older and that teenagers and retired people spend a lot more time on entertainment than those of working age do.
The graph below describes about the
computers and internet in the Arab world.
The chart shows striking differences
in the level of computer and Internet penetration in the Arab world.
The UAE and Kuwait are by far the most computerized countries, with Lebanon a distant third. The UAE has over 150 computers for every 1000 inhabitants, compared to Kuwait's 130 and Lebanon's 60. In contrast, countries such as Egypt, Morocco and Syria have less than 20 computers per 1000 inhabitants.
There are also great differences in Internet use and availability. The UAE has by far the highest proportion of users, with more than one-third of its population using the Internet. Kuwait and Lebanon are second and third again, with 100 users per thousand in Kuwait and 80 in Lebanon. In some countries the number using the Internet is negligible: Saudi Arabia has less than 20 users per thousand, and there are fewer than 5 users per thousand in Syria.
One unusual feature of the graph is that Internet use does not seem to be directly related to the number of computers. In several countries (the UAE, Lebanon, Jordan and Oman), there are more Internet users per thousand people than computers. However, in other countries, such as Kuwait, Saudi Arabia and Syria, the number of Internet users is lower than the number of computers.
In summary, there are major differences between computer use and Internet use in the Arab world, but the UAE clearly leads the area in both number of computers and number of internet users per capita.
The UAE and Kuwait are by far the most computerized countries, with Lebanon a distant third. The UAE has over 150 computers for every 1000 inhabitants, compared to Kuwait's 130 and Lebanon's 60. In contrast, countries such as Egypt, Morocco and Syria have less than 20 computers per 1000 inhabitants.
There are also great differences in Internet use and availability. The UAE has by far the highest proportion of users, with more than one-third of its population using the Internet. Kuwait and Lebanon are second and third again, with 100 users per thousand in Kuwait and 80 in Lebanon. In some countries the number using the Internet is negligible: Saudi Arabia has less than 20 users per thousand, and there are fewer than 5 users per thousand in Syria.
One unusual feature of the graph is that Internet use does not seem to be directly related to the number of computers. In several countries (the UAE, Lebanon, Jordan and Oman), there are more Internet users per thousand people than computers. However, in other countries, such as Kuwait, Saudi Arabia and Syria, the number of Internet users is lower than the number of computers.
In summary, there are major differences between computer use and Internet use in the Arab world, but the UAE clearly leads the area in both number of computers and number of internet users per capita.
The graph below shows the different
modes of transport used to travel to and from work in one European city in
1960, 1980 and 2000.
The graph shows the changing
patterns in commuting by train, car, tube or bus for commuters in London in the
years 1960, 1980 and 2000.
The number of people using trains at first rose from just under 20% in 1960 to about 26% in 1980, but then fell back to about 23% in 2000.
Use of the tube has been relatively stable, falling from around 27% of commuters in 1960 to 22% in 1980, but climbing back to reach 25% by 2000.
On the other hand, the use of cars increased steadily from just over 5% in 1960 to 23% in 1980, reaching almost 40% by 2000, whereas the popularity of buses has declined since 1960, falling from just under 35% in 1960 to 27% in 1980 and only 15% in 2000.
The graph indicates the growing use of cars for commuting to work between1960 - 2000, and the corresponding decline in the popularity of buses from being the most popular mode of transport in 1960 to the least popular in 2000.
The number of people using trains at first rose from just under 20% in 1960 to about 26% in 1980, but then fell back to about 23% in 2000.
Use of the tube has been relatively stable, falling from around 27% of commuters in 1960 to 22% in 1980, but climbing back to reach 25% by 2000.
On the other hand, the use of cars increased steadily from just over 5% in 1960 to 23% in 1980, reaching almost 40% by 2000, whereas the popularity of buses has declined since 1960, falling from just under 35% in 1960 to 27% in 1980 and only 15% in 2000.
The graph indicates the growing use of cars for commuting to work between1960 - 2000, and the corresponding decline in the popularity of buses from being the most popular mode of transport in 1960 to the least popular in 2000.
The
table graph shows the expenditure on health and education and the line graph
depicts the infant mortality rate and life expectancy in UAE during the period
from 1970 to 1992.
The graphs show health and education
spending and changes in life expectancy and infant mortality in the UAE.
Overall, as the percentage spent on health and education increases, infant
mortality and life expectancy improve.
Graph 1 shows the percentage of GDP spent on health and education between 1985 and 1993. There were big increases in both areas. Health spending stood at about 8% in 1985 but rose to 9% in 1990 and 10% in 1993. Spending on education was even higher. It was 10% in 1985, and shot up to 14% in 1990 and 15% in 1993, a 50% increase in just 8 years.
Graph 2 shows improvements in life expectancy and infant mortality between 1970 and 1992. Life expectancy was just 60 in 1970 but rose to almost 72 in 1992. In contrast, the number of babies dying dropped dramatically, from 60 per 1000 in 1970 to only 22 in 1992.
In conclusion, people in the UAE are living longer and healthier lives because of the government's spending on education and medical facilities.
Graph 1 shows the percentage of GDP spent on health and education between 1985 and 1993. There were big increases in both areas. Health spending stood at about 8% in 1985 but rose to 9% in 1990 and 10% in 1993. Spending on education was even higher. It was 10% in 1985, and shot up to 14% in 1990 and 15% in 1993, a 50% increase in just 8 years.
Graph 2 shows improvements in life expectancy and infant mortality between 1970 and 1992. Life expectancy was just 60 in 1970 but rose to almost 72 in 1992. In contrast, the number of babies dying dropped dramatically, from 60 per 1000 in 1970 to only 22 in 1992.
In conclusion, people in the UAE are living longer and healthier lives because of the government's spending on education and medical facilities.
The graph shows the expenditure on
fast foods by income groups in UK, in 1990.
The graph shows weekly expenditure
on fast food in Britain by food and income group. There are two main trends.
First, the expenditure is directly related to income. Secondly, there are
differences in the types of fast food eaten by each group.
The amount of money spent on fast food is related to income. People in the high-income group spent the most - over 85 pence per person per week. People in the low-income group spent the least - less than half of what the high-income earners spent.
The type of fast food eaten also depends on the group. High-income earners spent 3 times more on hamburgers than people in the low-income group. Pizza was generally the least favorite food. Fish and chips were the most popular food with the low-income group but consumption was fairly similar among all groups.
The amount of money spent on fast food is related to income. People in the high-income group spent the most - over 85 pence per person per week. People in the low-income group spent the least - less than half of what the high-income earners spent.
The type of fast food eaten also depends on the group. High-income earners spent 3 times more on hamburgers than people in the low-income group. Pizza was generally the least favorite food. Fish and chips were the most popular food with the low-income group but consumption was fairly similar among all groups.
The pie
charts show changes in American spending patterns between 1966 and 1996.
·
Food and cars made up the two
biggest items of expenditure in both years. Together they comprised over half
of household spending. Food accounted for 44% of spending in 1966, but this dropped
by two thirds to 14% in 1996. However, the outlay on cars doubled, rising from
23% in 1966 to 45% in 1996.
Other areas changed significantly. Spending on eating out doubled, climbing from 7% to 14%. The proportion of salary spent on computers increased dramatically, up from 1% in 1996 to 10% in 1996. However, as computer expenditure rose, the percentage of outlay on books plunged from 6% to 1%.
Some areas remained relatively unchanged. Americans spent approximately the same amount of salary on petrol and furniture in both years.
In conclusion, increased amounts spent on cars, computers, and eating out were made up for by drops in expenditure on food and books.
Other areas changed significantly. Spending on eating out doubled, climbing from 7% to 14%. The proportion of salary spent on computers increased dramatically, up from 1% in 1996 to 10% in 1996. However, as computer expenditure rose, the percentage of outlay on books plunged from 6% to 1%.
Some areas remained relatively unchanged. Americans spent approximately the same amount of salary on petrol and furniture in both years.
In conclusion, increased amounts spent on cars, computers, and eating out were made up for by drops in expenditure on food and books.
The
bar chart shows the fertility rate in gulf countries in a decade to 2000.
The chart shows striking changes in
the fertility rate of women in six Gulf countries – Saudi Arabia, the UAE,
Oman, Qatar, Kuwait and Bahrain between 1990 and 2000.
In the ten year period, there was a decline in the number of births per woman in all countries. The biggest declines were in two countries which had low fertility rates at the start of the decade, Bahrain and the UAE.
Fertility rates vary greatly between the six countries. Oman and Saudi Arabia had the highest rates, with over seven births per woman in 1990. This compared with around 4 births per woman in Bahrain and the UAE, and just 3.75 in Kuwait
By 2000, the rate had fallen below three births per woman in Kuwait, Bahrain and the UAE, with a drop of over 25% in a decade in the UAE. However, in Saudi Arabia and Oman, the rates fell by just 20%, from 7.0 to 5.5.
In summary, there were major decreases in birth rates in all countries, but some countries in the region have double the fertility rate of others.
In the ten year period, there was a decline in the number of births per woman in all countries. The biggest declines were in two countries which had low fertility rates at the start of the decade, Bahrain and the UAE.
Fertility rates vary greatly between the six countries. Oman and Saudi Arabia had the highest rates, with over seven births per woman in 1990. This compared with around 4 births per woman in Bahrain and the UAE, and just 3.75 in Kuwait
By 2000, the rate had fallen below three births per woman in Kuwait, Bahrain and the UAE, with a drop of over 25% in a decade in the UAE. However, in Saudi Arabia and Oman, the rates fell by just 20%, from 7.0 to 5.5.
In summary, there were major decreases in birth rates in all countries, but some countries in the region have double the fertility rate of others.
The chart below shows the amount
spent on six consumer goods in four European countries.
The chart shows that Britain, among
the four European countries listed, has spent most heavily on the range of
consumer goods included. In every case, British spending is considerably higher
than that of other countries; only in the case of tennis racquets does another
country, Italy, come close.
In contrast, Germany is generally the lowest spender. This Is most evident in photographic film, where Germany spends much less than Britain. Germany only spends more than another country, France, in two cases; tennis racquets and perfumes.
Meanwhile, France and Italy generally maintain middle positions, averaging approximately similar spending overall. Specifically, France spends more on CDs and photographic film but less on tennis racquets than Italy does. Italys spending on personal stereos is only marginally greater than that of France, while spending on toys is equal between the two.
It is clear from the data given that there are some significant differences in spending habits within Europe.
In contrast, Germany is generally the lowest spender. This Is most evident in photographic film, where Germany spends much less than Britain. Germany only spends more than another country, France, in two cases; tennis racquets and perfumes.
Meanwhile, France and Italy generally maintain middle positions, averaging approximately similar spending overall. Specifically, France spends more on CDs and photographic film but less on tennis racquets than Italy does. Italys spending on personal stereos is only marginally greater than that of France, while spending on toys is equal between the two.
It is clear from the data given that there are some significant differences in spending habits within Europe.
The charts below show the main
reasons for study among students of different age groups and the amount of
support they received from employers.
The first graph shows that there is
a gradual decrease in study for career reasons with age. Nearly 80% of students
under 26 years, study for their career. This percentage gradually declines by
10-20% every decade. Only 40% of 40-49year olds and 18% of over 49year olds
studying for career reasons in late adulthood.
Conversely, the first graph also shows that study stemming from interest increases with age. There are only 10% of under 26yr olds studying out of interest. The percentage increases slowly till the beginning of the fourth decade, and increases dramatically in late adulthood. Nearly same number of 40-49yr olds study for career and interest. However 70% of over 49yr olds study for interest in comparison to 18% studying for career reasons in that age group.
The second graph shows that employer support is maximum (approximately 60%) for the under 26yr students. It drops rapidly to 32% up to the third decade of life, and then increases in late adulthood up to about 44%. It is unclear whether employer support is only for career-focused study, but the highest level is for those students who mainly study for career purposes.
Conversely, the first graph also shows that study stemming from interest increases with age. There are only 10% of under 26yr olds studying out of interest. The percentage increases slowly till the beginning of the fourth decade, and increases dramatically in late adulthood. Nearly same number of 40-49yr olds study for career and interest. However 70% of over 49yr olds study for interest in comparison to 18% studying for career reasons in that age group.
The second graph shows that employer support is maximum (approximately 60%) for the under 26yr students. It drops rapidly to 32% up to the third decade of life, and then increases in late adulthood up to about 44%. It is unclear whether employer support is only for career-focused study, but the highest level is for those students who mainly study for career purposes.
The chart below shows information
about Heart Attacks by Age and Gender in USA.
The graph shows how age and gender
influence the frequency of heart attacks in the US.
Less than 6% of all heart attacks occur in the 29-44 age group. The number of women who suffer heart attacks in this group is negligible - only 3000 per year, compared to 123,000 men.
However the proportion of men and women with heart attacks rises dramatically between 45 and 64, with over half a million per year. Over 420,000 men a year in this age group have heart attacks. The incidence amongst women increases - women have one heart attack for every three men in this age group.
Over the age of 65, the number of men suffering heart attacks only increases slightly. However there is a huge increase in the number of women with heart attacks - they comprise over 40% of all victims.
In conclusion, men are more likely to be the victims of heart attacks at all ages, but women are increasingly likely over the age of 65.
Less than 6% of all heart attacks occur in the 29-44 age group. The number of women who suffer heart attacks in this group is negligible - only 3000 per year, compared to 123,000 men.
However the proportion of men and women with heart attacks rises dramatically between 45 and 64, with over half a million per year. Over 420,000 men a year in this age group have heart attacks. The incidence amongst women increases - women have one heart attack for every three men in this age group.
Over the age of 65, the number of men suffering heart attacks only increases slightly. However there is a huge increase in the number of women with heart attacks - they comprise over 40% of all victims.
In conclusion, men are more likely to be the victims of heart attacks at all ages, but women are increasingly likely over the age of 65.
The graph shows estimated oil
production capacity for several Gulf countries between 1990 and 2010.
The graph shows Oil Production
Capacity in millions of barrels per day for selected Gulf countries. There are
several features in this graph.
The most significant feature is that oil production will increase sharply in almost all the countries shown. Kuwait and Iraq are both expected to double their output between 1990 and 2010, with Kuwait's production rising from 1.8 million barrels per day (bpd) in 1990 to 3.8 in 2010. Iran will also increase its output by a slightly smaller amount. After remaining steady at 2.5 million bpd from 1990 to 2000, the UAE's output is expected to approach 4.0 million bpd in 2010. Only Qatar's production is predicted to fall, back to 0.8 million bpd after a slight rise in 2000.
However, the greatest increase will be from Saudi Arabia. In 1990, its output capacity at 8.5 million bpd exceeded the combined production of Iran, Iraq and Kuwait. This lead is expected to continue with a 75% increase in production to 14.5 million bpd 2010.
In summary, while most of the countries are expected to show increases, Saudi Arabia will maintain and strengthen its position as the major producer.
The most significant feature is that oil production will increase sharply in almost all the countries shown. Kuwait and Iraq are both expected to double their output between 1990 and 2010, with Kuwait's production rising from 1.8 million barrels per day (bpd) in 1990 to 3.8 in 2010. Iran will also increase its output by a slightly smaller amount. After remaining steady at 2.5 million bpd from 1990 to 2000, the UAE's output is expected to approach 4.0 million bpd in 2010. Only Qatar's production is predicted to fall, back to 0.8 million bpd after a slight rise in 2000.
However, the greatest increase will be from Saudi Arabia. In 1990, its output capacity at 8.5 million bpd exceeded the combined production of Iran, Iraq and Kuwait. This lead is expected to continue with a 75% increase in production to 14.5 million bpd 2010.
In summary, while most of the countries are expected to show increases, Saudi Arabia will maintain and strengthen its position as the major producer.
The chart shows male and female graduates from the Higher
Colleges of Technology in the UAE.
The most outstanding feature of the graph is female graduates outnumber males in all the colleges. For example, in Dubai, there are 30% more women graduates than men. There are also large differences in Al Ain and in Ras Al Khaimah. However, the number of men and women is almost equal in the colleges in Abu Dhabi.
There are also big differences in the sizes of the colleges. Ras Al Khaimah has less than 300 students altogether, while Abu Dhabi has about 600 and Dubai has almost 1000.
In summary, women outnumber men in all the colleges, and there are significant differences in the sizes of the colleges.
The graph shows Internet Usage in
Taiwan by Age Group, 1998-2000.
The graph shows changes in the age
profile of Internet users in Taiwan between 1998 and 2000.
The main users of the Internet in Taiwan are young adults between 16 and 30 years old. In 1998, they accounted for more than half of all users. In 1999 the number dropped slightly to 45%, but even in 2000 they were the biggest group.
The second biggest group of users is aged between 31 and 50. They made up 41% in 1998, falling slightly to 37% in 2000. When combined with the 16-30 age group, over 94% of users in 1998 were between 16 and 50.
However this number is dropping steadily as more children and older users log on. In 1999, the number of children online quadrupled from 2% to 8%, and it continued to increase in 2000. There were similar increases for older users, rising from 4% in 1998 to 10% in 2000.
In summary, while adults between 16 and 50 still represent the great majority of Internet users in Taiwan, their share is declining as more children and older users join the web.
The main users of the Internet in Taiwan are young adults between 16 and 30 years old. In 1998, they accounted for more than half of all users. In 1999 the number dropped slightly to 45%, but even in 2000 they were the biggest group.
The second biggest group of users is aged between 31 and 50. They made up 41% in 1998, falling slightly to 37% in 2000. When combined with the 16-30 age group, over 94% of users in 1998 were between 16 and 50.
However this number is dropping steadily as more children and older users log on. In 1999, the number of children online quadrupled from 2% to 8%, and it continued to increase in 2000. There were similar increases for older users, rising from 4% in 1998 to 10% in 2000.
In summary, while adults between 16 and 50 still represent the great majority of Internet users in Taiwan, their share is declining as more children and older users join the web.
The graph shows Underground Station
Passenger Numbers in London.
The graph shows the fluctuation in
the number of people at a London underground station over the course of a
day.
The busiest time of the day is in the morning. There is a sharp increase between 06:00 and 08:00, with 400 people using the station at 8 o'clock. After this the numbers drop quickly to less than 200 at 10 o'clock. Between 11 am and 3 pm the number rises, with a plateau of just under 300 people using the station.
In the afternoon, numbers decline, with less than 100 using the station at 4 pm. There is then a rapid rise to a peak of 380 at 6pm. After 7 pm, numbers fall significantly, with only a slight increase again at 8pm, tailing off after 9 pm.
Overall, the graph shows that the station is most crowded in the early morning and early evening periods.
The busiest time of the day is in the morning. There is a sharp increase between 06:00 and 08:00, with 400 people using the station at 8 o'clock. After this the numbers drop quickly to less than 200 at 10 o'clock. Between 11 am and 3 pm the number rises, with a plateau of just under 300 people using the station.
In the afternoon, numbers decline, with less than 100 using the station at 4 pm. There is then a rapid rise to a peak of 380 at 6pm. After 7 pm, numbers fall significantly, with only a slight increase again at 8pm, tailing off after 9 pm.
Overall, the graph shows that the station is most crowded in the early morning and early evening periods.
.
The line graph below gives information on cinema attendance in the UK.
The given line graph illustrates information on the percentage of people who went to the movies in the United Kingdom between 1990 and 2010. The people's attendance is divided into four different age groups.
Overall, younger people seemed to, and are predicted to, be more active in movie going than their older counterparts. However, all four age groups showed a gradual increase in attendance numbers during the given period, except for a slight drop between 1995 and 2000.
To be specific, a larger percentage of people between the ages of 24 and 34 went to, and are expected to, go to the cinema than those in any other age group. Approximately 51% of the respondents from this age group are expected to attend movies in 2010 compared with only 38% in 1990. Even in the group that had the smallest number of movie goers, those between the ages of 44 and 54, there was an increase of 6% in their attendance.
The graph shows changes in employment rates in six countries between 1995 and 2005, for men and women. Overall more and more people of working age are employed, and there have been significant improvements for women, although they leg behind men in entering the workforce.
The most obvious trend in the graph is that women have lower employment rates in most of the countries in the graph. For example, in Australia in 1995, 57 percent of men could find work or retain a job, but only 27 percent of women. The difference was even bigger in New Zealand, with 60 percent of women. Even in Switzerland and Iceland, alightly more men than women were in the job market.
The second biggest trend in the graph is the improvement in employment between 1995 and 2005. In all countries shown, figures for both men and women improved. The biggest change was in the United Kingdom, from 55 percent of men in 1995 to 73 percent over the ten years period.
Furthermore, the increases in employment rates for women were much higher in New Zealand. The percentage of working women jumped from 25 percent to 42 percent, and in the United States from 45 percent to 61 percent over the decade.
In conclusion, all the countries in the graph showed at least a 12 percent increase in employment rates of both men and women over the ten years. While men had relatively higher employment rate throughout the period, more and more women appear to be entering the labour market.
The table below shows the figures for imprisonment in
five countries between 1930 and 1980.
The table shows that the figures for imprisonment in the five
countries mentioned indicate no overall pattern of increase or decrease. In
fact there is considerable fluctuation from country to country.
In Great Britain the numbers in prison have increased steadily from 30 000 in 1930 to 80,000 in 1980. On the other hand in Australia and particularly in New Zealand the numbers fell markedly from 1930 to 1940. Since then they have increased gradually, apart from in 1980 when the numbers in prison in New Zealand fell by about 30,000 from the 1970 total. Canada is the only country in which the numbers in prison have decreased over the period 1930 to 1980, although there have been fluctuations in this trend. The figures for the United States indicate the greatest number of prisoners compared to the other four countries but population size needs to be taken into account in this analysis. The prison population in the United States increased rapidly from 1970 to 1980 and this must be a worrying trend.
In Great Britain the numbers in prison have increased steadily from 30 000 in 1930 to 80,000 in 1980. On the other hand in Australia and particularly in New Zealand the numbers fell markedly from 1930 to 1940. Since then they have increased gradually, apart from in 1980 when the numbers in prison in New Zealand fell by about 30,000 from the 1970 total. Canada is the only country in which the numbers in prison have decreased over the period 1930 to 1980, although there have been fluctuations in this trend. The figures for the United States indicate the greatest number of prisoners compared to the other four countries but population size needs to be taken into account in this analysis. The prison population in the United States increased rapidly from 1970 to 1980 and this must be a worrying trend.
The chart shows the number of mobile phones and
landlines per 100 people in selected countries.
The graph shows the number of mobile phones and landlines per
100 users, for selected countries. Overall, most of the countries included in
the graph have more mobile phones subscribers than landlines.
Most European countries have high mobile phone use. The biggest users of mobile phones are the Italians, with 88 cell phones per 100 people. For example, Italy has twice as many mobile phones as landlines, with 88 mobiles per hundred people compared to 45 for landlines. Mobile phone use is low in Canada, with fewer than 40 phones per 100 people. Denmark is also unusual because it has slightly more landlines than mobile phones.
However, in some countries, the number of landlines is higher than the number of mobile phones. One example is the USA, where the number of mobiles, at 50 per 100 people, is much lower than the number of landlines, at almost 70 per hundred. A similar pattern can be seen in Canada. The highest number of landlines in the graph is in Denmark, with about 90 per 100 people. In contrast, the lowest figures for fixed lines are in Italy and the UK.
In conclusion, it seems that mobile phone use is higher in Europe than in North America.
Most European countries have high mobile phone use. The biggest users of mobile phones are the Italians, with 88 cell phones per 100 people. For example, Italy has twice as many mobile phones as landlines, with 88 mobiles per hundred people compared to 45 for landlines. Mobile phone use is low in Canada, with fewer than 40 phones per 100 people. Denmark is also unusual because it has slightly more landlines than mobile phones.
However, in some countries, the number of landlines is higher than the number of mobile phones. One example is the USA, where the number of mobiles, at 50 per 100 people, is much lower than the number of landlines, at almost 70 per hundred. A similar pattern can be seen in Canada. The highest number of landlines in the graph is in Denmark, with about 90 per 100 people. In contrast, the lowest figures for fixed lines are in Italy and the UK.
In conclusion, it seems that mobile phone use is higher in Europe than in North America.
The chart below shows estimated world literacy rates by
region and by gender for the year 2000.
In this report I will describe a bar chart that shows the
estimated world illiteracy rates by gender and region for the year 2000.
First I will look at male illiteracy for the 6 areas shown. The lowest rates were in Developed Countries, Latin America/Caribbean and East Asia/Oceania with rates of 1% (approximately), 10% and 8% (approximately) respectively. The rates for the next three areas were much higher and quite similar to each other. Sub-Saharan Africa, the Arab States and South Asia had rates of approximately 31%, 29% and 34%.
Female illiteracy was much higher relatively in each area except Latin America/Caribbean where it was only slightly higher. The lowest rates for female illiteracy were again Developed Countries, Latin America/Caribbean and East Asia/Oceania with rates of approximately 2%, 12% and 20%. Again the rates for the next three areas were much higher and quite similar to each other. Sub-Saharan Africa, the Arab States and South Asia had rates of approximately 48%, 52% and 56%.
First I will look at male illiteracy for the 6 areas shown. The lowest rates were in Developed Countries, Latin America/Caribbean and East Asia/Oceania with rates of 1% (approximately), 10% and 8% (approximately) respectively. The rates for the next three areas were much higher and quite similar to each other. Sub-Saharan Africa, the Arab States and South Asia had rates of approximately 31%, 29% and 34%.
Female illiteracy was much higher relatively in each area except Latin America/Caribbean where it was only slightly higher. The lowest rates for female illiteracy were again Developed Countries, Latin America/Caribbean and East Asia/Oceania with rates of approximately 2%, 12% and 20%. Again the rates for the next three areas were much higher and quite similar to each other. Sub-Saharan Africa, the Arab States and South Asia had rates of approximately 48%, 52% and 56%.
In June 1996, an experimental flu vaccine was trialed in
a large country town on females only.
The diagrams show data for a flu epidemic which hit a large
country town in 1996. Figure 1 gives the number of persons who died; Figure 2
shows the percentage breakdown of females who received a new flu vaccine; and
Figure 3 gives the number of cases of flu before and during the epidemic.
In Figure 1 it can be seen that the flu was responsible for the deaths of 2 females but no males in the period from March to May. However, from June to August, there were 4 female deaths and 1 male death.
According to the pie chart in Figure 2, only those females most at risk were given the new flu vaccine; 28% did not take part in the trial. Of those females who took part, 35% were aged (over 65 years old); 24% were babies or children; and 13% were either hospitalized or receiving other medical attention.
From Figure 3 it is clear that the new vaccine had a positive effect on the number of new cases of flu reported in females. There were just over 1000 cases reported in March, climbing rapidly to a peak of 3500 in June. Thereafter, the number of cases dropped slowly to about 2800 in August, before leveling off at 2500 for the rest of the year. For males, the figures were lower but showed a similar trend throughout the epidemic.
In Figure 1 it can be seen that the flu was responsible for the deaths of 2 females but no males in the period from March to May. However, from June to August, there were 4 female deaths and 1 male death.
According to the pie chart in Figure 2, only those females most at risk were given the new flu vaccine; 28% did not take part in the trial. Of those females who took part, 35% were aged (over 65 years old); 24% were babies or children; and 13% were either hospitalized or receiving other medical attention.
From Figure 3 it is clear that the new vaccine had a positive effect on the number of new cases of flu reported in females. There were just over 1000 cases reported in March, climbing rapidly to a peak of 3500 in June. Thereafter, the number of cases dropped slowly to about 2800 in August, before leveling off at 2500 for the rest of the year. For males, the figures were lower but showed a similar trend throughout the epidemic.
The table below shows the sales at a
small restaurant in a downtown business district.
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Fulfilling
the Work Experience Requirement
Credits will be awarded when the final report is submitted. Application |
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Choose
potential workplaces from approved list and arrange interviews. Submit
applications to places of interest.
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When
acceptance letter is received, submit it
to professor for approval. |
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Arrange
schedule to work a minimum of 10
hours/ week over 20 weeks. |
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Complete
weekly Report Form and submit to
professor every Friday. |
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During
final workweek, participate in evaluation meeting with work supervisor.
Supervisor submits Evaluation Form.
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Submit
Final Report before last week of spring term.
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Gaining work experience prior to
graduation helps university students to succeed in getting their first job. For
this reason, some universities insist that all students must complete a Work
Experience Requirement. Completing the following six stages result in the
requirements’ fulfillment.
The process begins with the Application stage. A student reviews an approved list of workplaces and submits applications to places where he would like to work. Next is the Approval stage. When a student receives an acceptance letter, he gives it to the professor for approval. The third stage, Schedule, requires a student to arrange his work schedule. The student should work at least 10 hours/week over 20 weeks. Reports are next. The student must complete a Weekly Report Form and turn it in to the professor every Friday.
The fifth stage, Evaluation, takes place during the final work week. A student participates in an evaluation meeting with his work supervisor, who submits an Evaluation Form. The last stage requires that a student submit a Final Report before the last week of spring semester.
By following these stages and subsequently submitting the final report, the student receives credit from the university.
The process begins with the Application stage. A student reviews an approved list of workplaces and submits applications to places where he would like to work. Next is the Approval stage. When a student receives an acceptance letter, he gives it to the professor for approval. The third stage, Schedule, requires a student to arrange his work schedule. The student should work at least 10 hours/week over 20 weeks. Reports are next. The student must complete a Weekly Report Form and turn it in to the professor every Friday.
The fifth stage, Evaluation, takes place during the final work week. A student participates in an evaluation meeting with his work supervisor, who submits an Evaluation Form. The last stage requires that a student submit a Final Report before the last week of spring semester.
By following these stages and subsequently submitting the final report, the student receives credit from the university.
The table below shows CO2 emissions for different forms
of transport in the European Union.
The Pie Chart shows the percentage of European Union funds being spent on different forms of transport.
The Pie Chart shows the percentage of European Union funds being spent on different forms of transport.
sThe chart shows CO2 emissions per passenger kilometer for
various methods of transport in the European Union while the pie chart shows
European Union spending on transport. Flying by air produces by far the
greatest CO2 emissions, approximately three times as much as passenger cars
which are the next largest producers. Very little is spent by the EU on air
travel while roads make up more than half of the EU transport budget.
Trains produce about three times less CO2 emissions per passenger kilometer than passenger cars and eight times less than air travel. Nearly a third of EU transport funds are spent on railways.
Ships are a clean form of transport and produce about the same amount of CO2 per passenger kilometer as trains do. However, only 2 percent of EU funds are spent on ports. A further one percent is spent on inland waterways.
Coaches are the cleanest form of transport. Emissions of CO2 per passenger kilometer from coaches are half those of buses. Buses emit less than half as much CO2 per passenger kilometer as cars. The European Union spends 10 percent of its transport budget on public transport, such as buses and coaches.
Trains produce about three times less CO2 emissions per passenger kilometer than passenger cars and eight times less than air travel. Nearly a third of EU transport funds are spent on railways.
Ships are a clean form of transport and produce about the same amount of CO2 per passenger kilometer as trains do. However, only 2 percent of EU funds are spent on ports. A further one percent is spent on inland waterways.
Coaches are the cleanest form of transport. Emissions of CO2 per passenger kilometer from coaches are half those of buses. Buses emit less than half as much CO2 per passenger kilometer as cars. The European Union spends 10 percent of its transport budget on public transport, such as buses and coaches.
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