Use the bar graph below to estimate the millions of tourists predicted for France.
A bar graph titled Tourists in 2020 has a vertical axis labeled Tourists (in millions) from 0 to 140 in increments of 20. There are 5 vertical bars with labels and heights as follows where the label is listed first and the height is listed second: China, 137; USA, 104; France, 95; Spain, 70; Hong Kong, 59. Each bar is labeled with its height.
Tourists in 2020
China
USA
France
Spain
Hong Kong
0
20
40
60
80
100
120
140
Tourists (in millions)
137
104
95
70
59
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Part 1
From the bar​ graph,

enter your response here million tourists are predicted for France in 2020.

From the information provided, the bar graph shows that the height of the bar representing France is **95 million tourists**.

So, **95 million tourists** are predicted for France in 2020.

Would you like any further details or explanations?

Here are five related questions you might find interesting:
1. How can you estimate the total number of tourists predicted for all five countries combined?
2. What percentage of the total predicted tourists are expected to visit France?
3. How much higher is China's predicted number of tourists compared to France's?
4. What is the difference in the number of tourists between the USA and Spain?
5. How does the number of predicted tourists in Hong Kong compare to Spain?

**Tip**: When interpreting bar graphs, always check the labels and units on the axes to ensure accuracy in your estimations!

Use the bar graph below to estimate the millions of tourists predicted for France. A bar graph titled Tourists in 2020 has a vertical axis labeled Tourists (in millions) from 0 to 140 in increments of 20. There are 5 vertical bars with labels and heights as follows where the label is listed first and the height is listed second: China, 137; USA, 104; France, 95; Spain, 70; Hong Kong, 59.

Learn how to estimate the number of tourists predicted for France in 2020 using a bar graph. The graph compares the tourist data for five countries: China, USA, France, Spain, and Hong Kong. This problem focuses on data interpretation and is suitable for students in Grades 5-7.

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