Achievable logoAchievable logo
GRE
Sign in
Sign up
Purchase
Textbook
Practice exams
Support
How it works
Resources
Exam catalog
Mountain with a flag at the peak
Textbook
Welcome
1. Vocabulary approach
2. Quantitative reasoning
2.1 Quant intro
2.2 Arithmetic & algebra
2.3 Statistics and data interpretation
2.3.1 Mean, median, mode, range
2.3.2 Data interpretation
2.3.3 Percentiles and standard deviation
2.4 Geometry
2.5 Strategies
3. Verbal reasoning
4. Analytical writing
Wrapping up
Achievable logoAchievable logo
2.3.2 Data interpretation
Achievable GRE
2. Quantitative reasoning
2.3. Statistics and data interpretation

Data interpretation

4 min read
Font
Discuss
Share
Feedback

Data analysis questions typically come in groups of two or three. They’re usually in the second half of the question set and are often paired with a chart. Use the same process each time to keep these questions straightforward.

  1. Briefly scan the charts to get an overall sense of the data

  2. Read the question and identify what information you need

  3. Locate the necessary data in the charts

  4. Do the math needed to get the answer

  5. Reread the question to confirm you answered what was asked, then select your answer

Following these steps helps you turn what can feel like a tricky data interpretation problem into a routine process.

Tip 1: If the charts feel confusing at first, start by reading the first question. A question gives you a specific target, which can make the chart easier to understand. Also, the first question is usually simpler than the others, so it’s a good way to begin exploring the chart.

Tip 2: The most common data interpretation questions ask for either a percentage change or a percent of a whole.

  • Percentage change: (change)/(original)
  • Percent of a whole: (comparing group)/(whole)

Example data interpretation questions

Let’s work through some data interpretation questions.

For this question, refer to the figure and chart below.

GRE data interpretation example question chart of customer spending

*The terms trips and shoppers are considered synonymous

Month Total shoppers
September 2,000
October 2,200
November 2,400
December 2,500

How many more trips did customers spend $100+ in December than in November?

A. 10
B. 100
C. 250
D. 260
E. 375

Give it a try yourself and check your answer!

(spoiler)

Answer: D. 260

In December, there were 2,500 shoppers total. If 20% of those 2,500 spent $100+, that’s:

  • (0.20×2,500=500) customers

In November, there were 2,400 shoppers total. If 10% of those 2,400 spent $100+, that’s:

  • (0.10×2,400=240f) customers

Now subtract to find how many more customers spent $100+ in December than in November:

500−240=260

So, 260 more customers spent $100+ in December than in November.

Data interpretation questions often come in batches. Ready for part 2?

Which of the following must be true?
Choose all correct answers.

A. Customers spent more total money in December than they did in September
B. The median customer for both November and December are located in the $50-$74.99 bracket
C. November’s smallest bracket spent more money than December’s smallest bracket

Give it a try!

(spoiler)

Answer: C. November’s smallest bracket spent more money than December’s smallest bracket

(No other choices are correct.)

Choice A is incorrect because the total amount spent in September isn’t given. Even if September had fewer customers, you can’t conclude whether the total money spent was less than (or greater than) December’s.

Choice B is incorrect because the median customer is not in the same bracket for both months. The median customer would be in the $75-$99.99 bracket for December and the $50-74.99 bracket for November.

That leaves choice C. To see why it must be true, compare the “smallest bracket” (the bracket with the fewest customers) in each month.

  • In December, the smallest bracket has 125 customers.
  • In November, the smallest bracket is the $100+ bracket, with 240 customers.

Since November’s smallest bracket has more customers, and those customers are in the $100+ spending category, November’s smallest bracket must have spent more total money than December’s smallest bracket.

Time management for data interpretation questions

Data interpretation questions can be efficient: once you understand the charts, you can often answer several questions quickly. But if the charts are hard to read, these questions can turn into a time sink.

If the charts don’t make sense at a glance, it’s fine to skip these questions and return to them at the end.

Common themes

  • An asterisk or callout under a chart will almost always be relevant to one of the questions.
  • Usually, three data interpretation questions will appear consecutively with the same accompanying chart(s).
  • Percent change questions are extremely common in data interpretation questions.
  • Be very careful to read what is being measured and at what scale on each axis of the charts. You may need to do some conversion to make sense of two or more charts.

Data interpretation question process

  • Scan charts for overall data sense
  • Read question to identify needed info
  • Locate data in charts, perform calculations
  • Confirm answer matches question before selecting

Tips for approaching charts

  • If confused, start with the first question for focus
  • First question is usually simplest, helps explore chart

Common question types

  • Percentage change: (change)/(original)
  • Percent of whole: (comparing group)/(whole)

Example question key points

  • Use chart and table data together
  • Calculate group sizes using percentages and totals
  • Subtract to find differences between groups

“Must be true” question strategies

  • Verify each statement using chart data
  • Median and bracket placement may differ by month
  • Smallest bracket may not mean least money spent

Time management

  • Data interpretation sets can be efficient if charts are clear
  • If charts are confusing, skip and return later

Common themes

  • Chart asterisks/callouts are often relevant to questions
  • Data interpretation questions usually appear in batches with same chart(s)
  • Percent change questions are frequent
  • Carefully check what is being measured and chart scales
    • May require unit or scale conversions

Sign up for free to take 15 quiz questions on this topic

All rights reserved ©2016 - 2026 Achievable, Inc.

Data interpretation

Data analysis questions typically come in groups of two or three. They’re usually in the second half of the question set and are often paired with a chart. Use the same process each time to keep these questions straightforward.

  1. Briefly scan the charts to get an overall sense of the data

  2. Read the question and identify what information you need

  3. Locate the necessary data in the charts

  4. Do the math needed to get the answer

  5. Reread the question to confirm you answered what was asked, then select your answer

Following these steps helps you turn what can feel like a tricky data interpretation problem into a routine process.

Tip 1: If the charts feel confusing at first, start by reading the first question. A question gives you a specific target, which can make the chart easier to understand. Also, the first question is usually simpler than the others, so it’s a good way to begin exploring the chart.

Tip 2: The most common data interpretation questions ask for either a percentage change or a percent of a whole.

  • Percentage change: (change)/(original)
  • Percent of a whole: (comparing group)/(whole)

Example data interpretation questions

Let’s work through some data interpretation questions.

For this question, refer to the figure and chart below.

GRE data interpretation example question chart of customer spending

*The terms trips and shoppers are considered synonymous

Month Total shoppers
September 2,000
October 2,200
November 2,400
December 2,500

How many more trips did customers spend $100+ in December than in November?

A. 10
B. 100
C. 250
D. 260
E. 375

Give it a try yourself and check your answer!

(spoiler)

Answer: D. 260

In December, there were 2,500 shoppers total. If 20% of those 2,500 spent $100+, that’s:

  • (0.20×2,500=500) customers

In November, there were 2,400 shoppers total. If 10% of those 2,400 spent $100+, that’s:

  • (0.10×2,400=240f) customers

Now subtract to find how many more customers spent $100+ in December than in November:

500−240=260

So, 260 more customers spent $100+ in December than in November.

Data interpretation questions often come in batches. Ready for part 2?

Which of the following must be true?
Choose all correct answers.

A. Customers spent more total money in December than they did in September
B. The median customer for both November and December are located in the $50-$74.99 bracket
C. November’s smallest bracket spent more money than December’s smallest bracket

Give it a try!

(spoiler)

Answer: C. November’s smallest bracket spent more money than December’s smallest bracket

(No other choices are correct.)

Choice A is incorrect because the total amount spent in September isn’t given. Even if September had fewer customers, you can’t conclude whether the total money spent was less than (or greater than) December’s.

Choice B is incorrect because the median customer is not in the same bracket for both months. The median customer would be in the $75-$99.99 bracket for December and the $50-74.99 bracket for November.

That leaves choice C. To see why it must be true, compare the “smallest bracket” (the bracket with the fewest customers) in each month.

  • In December, the smallest bracket has 125 customers.
  • In November, the smallest bracket is the $100+ bracket, with 240 customers.

Since November’s smallest bracket has more customers, and those customers are in the $100+ spending category, November’s smallest bracket must have spent more total money than December’s smallest bracket.

Time management for data interpretation questions

Data interpretation questions can be efficient: once you understand the charts, you can often answer several questions quickly. But if the charts are hard to read, these questions can turn into a time sink.

If the charts don’t make sense at a glance, it’s fine to skip these questions and return to them at the end.

Common themes

  • An asterisk or callout under a chart will almost always be relevant to one of the questions.
  • Usually, three data interpretation questions will appear consecutively with the same accompanying chart(s).
  • Percent change questions are extremely common in data interpretation questions.
  • Be very careful to read what is being measured and at what scale on each axis of the charts. You may need to do some conversion to make sense of two or more charts.
Key points

Data interpretation question process

  • Scan charts for overall data sense
  • Read question to identify needed info
  • Locate data in charts, perform calculations
  • Confirm answer matches question before selecting

Tips for approaching charts

  • If confused, start with the first question for focus
  • First question is usually simplest, helps explore chart

Common question types

  • Percentage change: (change)/(original)
  • Percent of whole: (comparing group)/(whole)

Example question key points

  • Use chart and table data together
  • Calculate group sizes using percentages and totals
  • Subtract to find differences between groups

“Must be true” question strategies

  • Verify each statement using chart data
  • Median and bracket placement may differ by month
  • Smallest bracket may not mean least money spent

Time management

  • Data interpretation sets can be efficient if charts are clear
  • If charts are confusing, skip and return later

Common themes

  • Chart asterisks/callouts are often relevant to questions
  • Data interpretation questions usually appear in batches with same chart(s)
  • Percent change questions are frequent
  • Carefully check what is being measured and chart scales
    • May require unit or scale conversions