The charts below show the proportion of people’s total spending in a particular European country was spent on different commodities and services in 1958 and in 2008.

The charts below show the proportion of people’s total spending in a particular European country was spent on different commodities and services in 1958 and in 2008.
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The pie charts depict information regarding the percentage of
citizen's
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citizens'
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total expenditure in a European nation spent on kinds of commodities and services in 1958 and 2008. The data is calibrated in percentage. At a fleeting glance,
it is clear that
a negligible difference was seen in the amount of
money
spent on clothing in both years.Moving forward, the
percentum
Correct your spelling
per centum
of utilizing funds on food was 32 and 12 in 1958 and 2008 respectively.
Next,
in 1958 funds spent on Housing was 22%
whereas
in 2008 32% of the income was spent. On
further
analysis, it is lucid that a difference of 10% was seen in the expenditure of
money
on Luxury goods in both pie charts.
After
this
, the pie charts show that 13% of the
money
was used on Entertainment in the former
year
whilst almost half was in the latter
year
. The utilization of funds on travel was approximately twofold in the latter
year
, the figure was 8 and 17.
Hence
, from an
overall
analysis, it could be stated that the maximum amount of
money
was used on Housing in the latter
year
and the minimum amount on Luxury goods in the former
year
.
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Vocabulary: Replace the words money, year with synonyms.
Vocabulary: The word "charts" was used 3 times.
Vocabulary: The word "amount" was used 3 times.
Vocabulary: The word "difference" was used 2 times.
Vocabulary: The word "percentage" was used 2 times.
Topic Vocabulary:
  • proportion
  • expenditure
  • commodities
  • services
  • necessities
  • luxury goods
  • trends
  • significant changes
  • expenditure
  • housing and utilities
  • summarize
  • highlight
  • primary trends
  • fifty-year period
  • economic growth
  • technological advancements
  • societal values
  • analyze
  • observe
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