GRE Data Interpretation Questions: Complete Guide & Practice

Data Interpretation (DI) is a distinct question format within the GRE Quantitative Reasoning measure. Unlike standalone problems that present all the information you need in the question itself, DI questions appear in sets of 2 to 5 questions that all reference the same shared data display — a table, graph, chart, or combination of these. The data display stays on screen while you work through each question in the set, and the individual questions can draw on any of the four GRE math domains: Arithmetic, Algebra, Data Analysis, or Geometry.

This guide covers everything you need to know about the DI format: what makes these questions unique, which math domains appear most often, a step-by-step solving framework, two fully worked examples, six interactive practice questions from the question bank, common traps to avoid, and a study checklist to track your preparation.

What Are Data Interpretation Questions?

Data Interpretation questions are a unique format within the GRE Quantitative Reasoning measure. Rather than presenting a single self-contained problem, DI questions group 2 to 5 questions around a shared data display that remains visible on your screen as you work through the set. The data display can be a table with rows and columns of numbers, a bar graph comparing categories over time, a line graph showing trends, a circle (pie) chart dividing a total into parts, a boxplot, a scatterplot, a histogram, or even a combination of two displays such as a table paired with a graph.

Within a single DI set, the individual questions can be any of the four standard GRE quantitative question types. The table below summarizes each type and how it appears within a DI set.

Question Types Within DI Sets

Question Type	How It Appears in DI Sets
Multiple Choice — Select One	5 answer choices (A through E), select exactly 1
Multiple Choice — Select One or More	Variable number of choices with square checkboxes, select all that apply
Numeric Entry	Type your answer as an integer, decimal, or fraction
Quantitative Comparison	Compare Quantity A vs. Quantity B using data from the display

A single DI set may contain a mix of these question types. For example, a set of 4 questions based on a bar graph might include two select-one multiple choice questions, one numeric entry question, and one select-one-or-more question. This variety means you need to be comfortable with all four question formats before tackling DI sets.

4 Math Domains in DI

Data Interpretation questions can draw on skills from all four GRE mathematical domains. Understanding how each domain appears within DI sets helps you recognize the required approach more quickly during the test. The table below summarizes the frequency and typical question patterns for each domain.

Domain Frequency in DI Questions

Domain	Frequency	Typical Question Patterns
Arithmetic	Very Common	Percent change, ratios from tables, proportions, averages
Data Analysis	Very Common	Reading graphs, computing statistics, probability from data displays
Algebra	Occasional	Setting up equations from data, solving for unknowns
Geometry	Rare	Circle graph sector calculations, proportional reasoning

How to Solve Step by Step

DI questions reward a systematic reading approach. Work through each step below to learn the seven-step framework — answer each mini-challenge to unlock the next step.

Interactive Walkthrough0/7 steps

The 7-Step DI Framework

Every Data Interpretation set begins with one or more data displays (tables, graphs, or charts) followed by 2–3 questions. The framework below teaches you how to approach any DI set systematically.

Work through each step to build the habit. Each challenge tests a common trap or skill.

Step 1: Read the Title, Labels, and Units

A graph axis says "Revenue (in billions of dollars)" and a bar reaches the "5" line. What value does that bar represent?

Step 2: Note Footnotes and Special Conditions

Step 3: Understand Multiple Displays

Step 4: Re-Read the Question Wording

Step 5: Let Answer Choices Guide Precision

Step 6: Track Units Through Calculations

Step 7: Manage Time Across the Set

Worked Example 1: Table-Based Percent Calculation

Work through each step below. You must answer each mini-challenge correctly to unlock the next step. A second wrong attempt will reveal the answer automatically.

Number of Employees by Department and Employment Type at Company X

Department	Full-Time	Part-Time	Total
Marketing	45	12	57
Engineering	120	8	128
Sales	60	30	90
Human Resources	15	5	20
Total	240	55	295

Interactive Walkthrough0/5 steps

Percent-of-Total from a Data Table

The number of part-time employees in the Sales department is what percent of the total number of employees at Company X? 5.1% 10.2% 18.6% 33.3% 54.5%

Step 1: Find the numerator

Which value from the table is the numerator — the number we're expressing as a percent?

Step 2: Identify the denominator

Step 3: Compute the percent

Step 4: Understand the 33.3% trap

Step 5: Understand the 54.5% trap

Worked Example 2: Table-Based Mean Calculation

This example teaches the arithmetic mean workflow: sum the values, divide by the count, round to the required precision, and verify units. Work through each step to build the habit.

Monthly Revenue (in thousands of dollars) for Store Y, January through June

Month	Jan	Feb	Mar	Apr	May	Jun
Revenue ($K)	$20	$25	$30	$22	$35	$40

Interactive Walkthrough0/6 steps

Arithmetic Mean from a Time-Series Table

What is the average (arithmetic mean) monthly revenue, in thousands of dollars, for Store Y for the months shown? Give your answer to the nearest thousand.

Step 1: Recall the formula

Arithmetic mean = ?

Step 2: Sum all monthly revenues

Step 3: Count the data points

Step 4: Compute the mean

Step 5: Round to the nearest thousand

Step 6: Verify units

Practice Questions

Test your skills with these six questions drawn from different math domains and data display types. Each question includes a data context, step-by-step solution, and a key insight. Select your answer, then click “Check Answer” to see the full explanation.

Operating expense ratio by region table, 2018 and 2022

For which region did the operating expense ratio decrease by the greatest number of percentage points from 2018 to 2022?

Doctoral student funding table showing funded and unfunded student counts by department

For which department is the ratio of funded Doctoral students to unfunded Doctoral students the greatest?

National electricity generation by source for 6 countries (2022)

Across all six countries combined, non-fossil-fuel sources (Nuclear, Hydroelectric, and Wind+Solar) generated approximately what percent of total electricity?

PharmaCo Inc. quarterly sales revenue by region, fiscal year 2023

The Northeast region's quarterly sales increased at a constant rate from Q1 through Q4 of fiscal year 2023. If this linear trend continued at the same constant quarterly rate, what would the projected sales be for Q2 of fiscal year 2024, in millions of dollars?

Container shipping ports throughput and handling fees (2023)

The total handling revenue (throughput multiplied by handling fee per TEU) generated by Singapore in 2023 was approximately how many million dollars greater than the total handling revenue generated by Busan in 2023?

Geometric properties of five regular polygons

The sum of the interior angles of the regular octagon exceeds the sum of the interior angles of the square by how many degrees?

Common Traps

Wrong answer choices in DI questions are not random — they are specifically engineered to catch common misreadings and calculation errors. Recognizing these traps in advance makes you far less likely to fall for them on test day. Here are the three most frequent traps.

Trap 3: Using the Wrong Base for Percent ChangePercent change =

\frac{\text{New} - \text{Old}}{\text{Old}} \times 100

. The denominator must be the original (old) value, not the new value. For example, if sales rose from $400 to $500, the percent increase is

\frac{500 - 400}{400} \times 100 = 25\%

, not

\frac{500 - 400}{500} \times 100 = 20\%

. Also beware of confusing “A is what percent of B” (which is

\frac{A}{B} \times 100

) with “A is what percent greater than B” (which is

\frac{A - B}{B} \times 100

). These are different formulas that produce different results, and wrong answer choices are designed to include the result of each formula so that a test-taker who uses the wrong one will find their incorrect result among the choices.

Study Checklist

Use this checklist to track your preparation for GRE Data Interpretation questions. Check off each skill as you master it.

0 / 8 completed

I can identify the eight types of data displays (table, bar graph, line graph, circle graph, boxplot, scatterplot, histogram, frequency distribution) and read each accurately.I always check axis labels, column headers, units, and footnotes before reading any data values from a display.I understand the difference between 'what percent of' (A/B × 100) and 'what percent greater than' ((A − B)/B × 100) and can apply both formulas correctly.I can compute percent change using the correct base (old value) as the denominator: (New − Old) / Old × 100.I know how to find the mean, median, and range from a frequency distribution or histogram, including handling even-count medians.I can set up and solve simple algebraic equations using data extracted from tables or graphs, such as linear projections and profit calculations.I budget approximately 2 minutes per DI question, spend time understanding the display once, and do not get stuck on any single question in a set.I have practiced reading stacked bar graphs and know that a middle segment's value is the difference between its top and bottom edges, not its height from the x-axis.

Frequently Asked Questions

How many Data Interpretation questions appear on the GRE?

Each Quantitative Reasoning section on the GRE typically includes one DI set containing 2 to 5 questions. Since the test has two scored Quantitative sections, you can expect roughly 4 to 10 DI questions in total. These questions share a common data display such as a table, graph, or chart. The data display remains visible on screen as you answer each question in the set, so you only need to read and understand it once.

What types of data displays appear in GRE Data Interpretation sets?

GRE DI sets use tables, bar graphs (simple, grouped, or stacked), line graphs, circle (pie) graphs, boxplots, scatterplots, histograms, and frequency distributions. Some sets combine two or more displays, such as a table alongside a graph or two tables that share the same row and column categories. The data display is designed to contain more information than any single question requires, so selective reading is essential to avoid wasting time on irrelevant data.

What math skills are tested in GRE Data Interpretation questions?

DI questions draw from all four GRE math domains: Arithmetic (percents, ratios, averages, percent change, compound percent change), Algebra (setting up equations from data, solving for unknowns, linear extrapolation), Data Analysis (mean, median, probability, distributions, weighted averages), and occasionally Geometry (circle graph sector calculations, interior angle sums from tables). The majority of DI questions emphasize Arithmetic and Data Analysis skills, but the hardest questions often require algebraic reasoning.

How much time should I spend on each Data Interpretation question?

Budget approximately 2 minutes per DI question, including the upfront time you spend reading and understanding the data display. Because all questions in a set share the same display, the initial investment in understanding the data pays off across every question in the set. If a particular question is taking too long, mark it and move on to the others in the set — they may be easier and use data you have already studied. You can return to the marked question if time permits.

What is the most common mistake on GRE Data Interpretation questions?

The most common mistake is misreading the scale or units of the data display. For example, if a graph axis is labeled “Revenue (in billions of dollars),” a bar reaching 5 means $5 billion, not $5. Other frequent errors include using the wrong denominator for percent calculations, confusing “percent of” with “percent greater than,” reading the wrong row or column in a table, and forgetting to approximate when the question says “approximately.” Always check axis labels, column headers, and footnotes before answering any question in the set.