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Database Provider

Authors

Hannah Ritchie, Max Roser

Grades

6th, 7th, 8th, 9th, 10th, 11th, 12th

Subjects

Science, Social Studies, Geography, Mathematics

Resource Types

  • Interactive Media
  • Charts, Graphs, and Tables

Regional Focus

Global

Format

Microsoft Excel

Fossil Fuel Consumption by Fuel Type (Stacked Area Chart)

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Synopsis
  • This resource includes an interactive chart that shows the fossil fuel consumption by fuel type for countries around the world since 1965. 
  • It accounts for gas, coal, and oil. 
  • The same information can be viewed here in line chart format.
Teaching Tips

Positives

  • The interactive provides two different ways for students to explore data (chart and table).
  • Related research and data are linked.
  • The site explains how the data was collected.
Additional Prerequisites
  • Learners need to be familiar with the different sources of energy.
  • Educator would need time to get familiar with this interactive media and decide on how to implement it with the learners.
Differentiation
  • There are other related interactive maps for other sources of energy. 
  • Can be used to create awareness about one or more of the Sustainable Development Goals (SDGs).
Scientist Notes

The resource presents world energy consumption from oil, gas, and coal. Data from different units were normalized. This method is suitable, and the resource is recommended.

Standards

This resource addresses the listed standards. To fully meet standards, search for more related resources.

  • Science
    • ESS3: Earth and Human Activity
      • MS-ESS3-5. Ask questions to clarify evidence of the factors that have caused the rise in global temperatures over the past century.
  • Mathematics
    • Statistics & Probability: Making Inferences & Justifying Conclusions (9-12)
      • HSS.IC.B.6(+) Evaluate reports based on data (e.g., interrogate study design, data sources, randomization, the way the data are analyzed and displayed, inferences drawn and methods used; identify and explain misleading uses of data; recognize when arguments based on data are flawed).
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