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The graph and chart give information and forecast about the vehicle number and CO2 emission in England and Wales between 2000 and 2020 Summarize the information by selecting and reporting the main feature and make comparisons where relevant v.2

The graph and chart give information and forecast about the vehicle number and CO2 emission in England and Wales between 2000 and 2020
The given line graph illustrates the number of vehicles in England and Wales from 2000 to the present and also give predictions up to 2020. The bar chart depicts the information about carbon dioxide emission in tonnes by four different transport methods, which are cars, buses, vans and trucks over the same period. Overall, the trend for cars purchasing is continue growing till today and also expect more expansion by 2020. CO2 emission are aspected to escalate in future. To begin, there were nearly 20 million vehicles in England and Wales in 2000. Then, total number were a steady increase to 35 million in following 10 years and is expected to experienced a rapid upward tendency reaching around 60 million by 2020. The column graph shows four principle sources of CO2 emission. Carbon dioxide emission by cars was the highest amount among four vehicles. To start with almost 2. 25 tonnes in 2000, this amount was rose marginally to just over 2. 5 tonnes and will ended with 3 million in 2020. Interestingly, trucks went through and follow a similar trend but amount is significantly less, from around 0. 7 tonnes to nearly 1. 3 tonnes. Rate for buses and vans is likely to keep steady at around 0. 4 tonnes and 0. 6 tonnes respectively.
The
given
line graph illustrates the number of vehicles in England and Wales from 2000 to the present and
also
give predictions up to 2020. The bar chart depicts the information about carbon dioxide
emission
in tonnes by four
different
transport methods, which are cars, buses, vans and trucks over the same period.

Overall
, the trend for cars purchasing is
continue
growing till
today
and
also
expect
more expansion by 2020. CO2
emission
are
aspected
to escalate
in future
.

To
begin
, there were
nearly
20
million
vehicles in England and Wales in 2000. Then, total number were a steady increase to 35
million
in following 10 years and is
expected
to experienced
a rapid upward tendency reaching around 60
million
by 2020.

The column graph
shows
four
principle
sources of CO2
emission
. Carbon dioxide
emission
by cars was the highest amount among four vehicles. To
start
with almost 2. 25 tonnes in 2000, this amount was rose
marginally
to
just
over 2. 5 tonnes and will ended with 3
million
in 2020.
Interestingly
, trucks went through and follow a similar trend
but
amount is
significantly
less, from around 0. 7 tonnes to
nearly
1. 3 tonnes. Rate for buses and vans is likely to
keep
steady at around 0. 4 tonnes and 0. 6 tonnes
respectively
.
4Linking words, meeting the goal of 7 or more
8Repeated words, meeting the goal of 3 or fewer
5Mistakes

IELTS academic The graph and chart give information and forecast about the vehicle number and CO2 emission in England and Wales between 2000 and 2020

Academic
  American English
4 paragraphs
216 words
6.0
Overall Band Score
Coherence and Cohesion: 7.0
  • Structure your answers in logical paragraphs
  • ?
    One main idea per paragraph
  • ?
    Include an introduction and conclusion
  • ?
    Support main points with an explanation and then an example
  • Use cohesive linking words accurately and appropriately
  • ?
    Vary your linking phrases using synonyms
Lexical Resource: 5.5
  • Try to vary your vocabulary using accurate synonyms
  • Use less common question specific words that accurately convey meaning
  • Check your work for spelling and word formation mistakes
Grammatical Range: 6.5
  • Use a variety of complex and simple sentences
  • Check your writing for errors
Task Achievement: 5.0
  • Answer all parts of the question
  • ?
    Present relevant ideas
  • Fully explain these ideas
  • ?
    Support ideas with relevant, specific examples
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    Currently is not available
  • Meet the criteria
  • Doesn't meet the criteria
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