The charts below give information on the ages of the population of Yemen and Italy in 2000 projections for 2050. Sunrise the information by selecting and reporting the main features and make comparisons where relevant.

The charts below give information on the ages of the population of Yemen and Italy in 2000 projections for 2050. Sunrise the information by selecting and reporting the main features and make comparisons where relevant.
The pie charts provide data about the age of the
people
in
Yemen
and Italy for the year 2000 and predictions for 2050. The three age groups illustrated are 0-14
years
, 15_59
years
, and 60+
years
. It is clearly observed that
Yemen
is expected to remain consistently young in 2050,
while
Italy's population is projected to change significantly with a substantial rise in elderly residents. In 2000, the majority of the population (50.1%) in
Yemen
was in 0-14
years
.
However
, most
people
in Italy were 60+
years
old (61.6%).
Also
, during
this
year, the smallest proportion of
people
was in 60
years
(3.6%) in
Yemen
,
while
in Italy 0_14
years
accounted for the smallest percentage of
people
(14.3%). With regards to the chart, in 2050, 15_59
years
old were the most number of
people
at 57.3% in
Yemen
.
However
, the largest percentage of
people
in Italy was the elderly in 60+
years
at 42.3%. It is worth noting that Italy is projected to have a significant
aging
Change the spelling
ageing
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population in 2050, and
Yemen
is predicted to have young inhabitants (57.3%)
this
year.
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Linking words: Don't use the same linking words: "however, while".
Vocabulary: Replace the words people, yemen, years with synonyms.
Vocabulary: The word "charts" was used 2 times.
Vocabulary: The word "percentage" was used 2 times.
Vocabulary: The word "significantly" was used 2 times.
Topic Vocabulary:
  • Demography
  • Age brackets
  • Projections
  • Population distribution
  • Birth rates
  • Life expectancy
  • Working-age population
  • Elderly demographic
  • Healthcare
  • Socio-economic implications
  • Shrinking workforce
  • Labor force
  • Comparative analysis
  • Young population
  • Aging process
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