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map world total population gdp pptx icons
from deck World Maps: Continents, Countries, Population, Transport icons

World – Illustrating Key Data Statistics

Slide Content

The slide titled "World – Illustrating Key Data Statistics," contains four key metrics: Area total (land+water), Population, Density (land area), and GDP (PPP). The Area is shown as 510 million km² which means the total surface area including land and water bodies. The Population is reported as 7.9 billion as of 2021, indicating the total number of people living on Earth. The Density is 50/km² meaning an average number of people per square kilometer of land. Lastly, the GDP (PPP) is $91.4 trillion with Per capita income at $17,100 for 2021, measuring the economic output adjusted for purchasing power parity and the average income per person.

Graphical Look

  • The slide features a light blue colored world map as a background.
  • Four dark translucent speech bubble shapes overlay the map on the right side, each containing a specific statistic.
  • Each speech bubble shape has a unique icon representing its particular statistic: a grid for Area, figures for Population, multiple figures for Density, and gears for GDP.
  • The text within these bubbles is white for easy readability against the dark background.
  • At the top right corner, the slide has a heading "Basic info" with a dark background that matches the speech bubbles.

The slide has a very professional and clean look, using a simple color palette that emphasizes the data presented. The icons are well-chosen to represent the statistical categories, aiding in visual communication.

Use Cases

  • To present global statistics in international business meetings or conferences.
  • In educational settings for geography, economics, or social studies to discuss world demographics and economic data.
  • For non-governmental organizations or think tanks to illustrate data related to global issues and trends.
  • In reports or presentations by research institutions analyzing global patterns and relationships between different data points.

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