Food Math | Data Collection with Graphs and Tally Marks

Grade Levels
K - 1st, Homeschool
Resource Type
Formats Included
  • PDF
11 pages
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Use this set of 6 graphs and tally charts to collect and analyze data about food with your class. Your students will respond to questions about favorite hamburger toppings, forms of ice cream, summer drink choices, places to eat, breakfast preferences, and picnic foods, and record their data on class graphs which can then be displayed or assembled as a book (cover included). The graphing activities are also a great way to add some math to your nutrition studies.

Also includes two "Would You Rather...?" surveys about food. Your students will love to poll their classmates and then assemble and analyze their data.

How can you use this set of graphs and tallies with your class?

* Use as a supplement during a math unit on data collection.

* Complete a graph and discuss it together at the beginning of a science or health lesson about nutrition.

* Complete a graph daily at the beginning of the school year as part of your class community building activities. The completed graphs make a great display for Parent Night!

* Assemble your completed graphs into a class book for your classroom library. A cover for your book is included in the download.


Thanks for your interest in this resource! You'll also like Bar Graphs and Tally Marks | Collecting Class Data, a set of 23 tally mark and graphing experiences to help your students get to know each other through math!

If you're looking for more ways to integrate tallying, graphing, and data analysis into your teaching, you'll love this set of 44 tallying, graphing, and writing activities about about plants, animals, landforms, bodies of water, magnets, rocks, weather and seasons, and space. Click here to see it!


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Linda Nelson

Primary Inspiration by Linda Nelson

Total Pages
11 pages
Answer Key
Teaching Duration
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to see state-specific standards (only available in the US).
Organize, represent, and interpret data with up to three categories; ask and answer questions about the total number of data points, how many in each category, and how many more or less are in one category than in another.


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