Yes, a 320 is a good GRE score: as a Verbal-plus-Quant total it is about the 76th percentile, well above the average of roughly 309. Whether it is good enough depends on the split and the field. A balanced 160 Verbal and 160 Quant is the 82nd percentile in Verbal but only the 50th in Quant, so a 320 is strong for most master's, humanities and policy programs and often short of what Quant-heavy PhD programs in statistics or economics expect.
Where the numbers come from: section percentiles in this post are the official ETS ranks from the table for test takers 1 July 2022 to 30 June 2025, the same table every calculator on this site uses. ETS publishes no percentile table for the 260 to 340 total, so the 76th percentile for a 320 is our estimate from the official means and standard deviations. Program policies quoted below were checked on the programs' own pages on 5 October 2026.
The single most common GRE question in any online forum is some version of 'I got a 320, is that good?' The question is completely understandable and almost completely unanswerable without context. A 320 is simultaneously above-median for many programs, below-median for others, and functionally irrelevant for a growing number that have gone test-optional.
The honest answer: it depends on where you are applying and what your split looks like. This post will give you the tools to figure out your specific situation rather than a feel-good generalization.
Field-dependence of GRE expectations is extreme. A 320 with a 152 Quant could make you a weaker candidate at a computational biology PhD program than a 310 with a 167 Quant. The inverse is equally true: a 320 with a 168 Verbal is a genuine asset at a top English literature PhD program in a way that the same 320 with a 152 Verbal is not.
Before you decide whether to celebrate or retake, you need to understand what a 320 actually signals in percentile terms, how that signal differs between Verbal and Quant, and how different types of programs interpret it.
This post covers all of that. It is not designed to make you feel better or worse about your score. It is designed to help you make a rational decision about your next move, whether that is applying confidently, retaking strategically, or requesting a waiver.
Understanding Your 320: The Percentile Reality
A combined 320 places you at approximately the 76th percentile of GRE test takers, meaning you scored higher than about three in four of them. Treat that figure as an estimate: ETS reports percentiles for Verbal and Quant separately and publishes no table for the total. It is a strong absolute ranking. But the moment you break the score into its components, the picture becomes considerably more nuanced, and this is where most test takers go wrong.
The GRE scores Verbal Reasoning and Quantitative Reasoning on the same 130 to 170 scale, but the two distributions are not symmetric. In the official ETS data the mean Verbal score is 151.39 and the mean Quant score is 157.62, so Quant scores sit about six points higher across the board. A commonly cited reason is the make-up of the test-taking population: ETS's 2024-25 snapshot shows 61% of test takers are not US citizens, and a test taken in a second language weighs on Verbal far more than on Quant. Whatever the cause, the same scaled score carries a very different percentile depending on which section you are looking at.
Here is how the common ways of splitting a 320 translate into official percentiles:
| Score / split | Verbal percentile | Quant percentile |
|---|---|---|
| 160 (single section) | 82nd | 50th |
| 160V / 160Q (balanced 320) | 82nd (top fifth) | 50th (exactly middle of the pack) |
| 155V / 165Q (320) | 64th | 67th |
| 157V / 163Q (320) | 72nd | 60th |
| 163V / 157Q (320) | 90th | 42nd |
| 165V / 155Q (320) | 95th | 37th |
| 152V / 168Q (320) | 48th | 80th |
| 168V / 152Q (320) | 98th | 29th |
If you scored a perfectly balanced 160V/160Q, your Verbal is in the top fifth of test takers while your Quant is exactly median. Split it as 155V/165Q and the two percentiles almost level out. Use the GRE percentile calculator to look up the precise percentiles for your own scores.
ETS updates its interpretive data every year, each edition covering three testing years that end on 30 June. Between consecutive editions the Verbal and Quant percentiles typically move by a point or two at most, so a table a year old will not mislead you about where a score sits.
Why does this asymmetry matter so much? Because admissions committees at research programs do not look at your combined GRE score first. They look at the component most relevant to their field. A 320 total is a useful shorthand for general consumption, but no faculty reviewer in a statistics department is thinking about your combined score when they see your application. They are looking at 165 Quant or 155 Quant, and those two numbers tell completely different stories about quantitative preparation.
The percentile you care about is not the general population percentile but where you sit among applicants to your specific programs. Stanford's Statistics PhD, for example, says the average General Test scores of recently admitted applicants are 162 Verbal, 169 Quant and 4.5 Writing. A 169 Quant is the 85th percentile overall, so in that pool a 160 Quant, the overall median, is nine points below the average admit. Look up the reported score ranges for the specific programs you are targeting.
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Where a 320 Opens Doors
For a large number of programs, a 320 is not merely adequate. It is genuinely strong and will be a positive element of your application rather than a neutral one. Understanding which program types fall into this category can help you build a school list that aligns with what your score actually supports.
Most master's programs that still publish GRE data report admitted-student averages at or below the low 320s, and many no longer publish anything because the test has become optional. Against that bar a 320 is not going to work against you and may slightly strengthen your file. This holds across many disciplines: public administration, journalism, educational leadership, and non-research master's programs in social work, communications, and applied psychology.
PhD programs in humanities fields, including English literature, history, philosophy, religious studies and comparative literature, care primarily about Verbal, when they look at the GRE at all. Many no longer do: a 2022 Science audit of PhD programs in eight disciplines at 50 top US universities found only about 3% still required the GRE. Where scores are used, a 160+ Verbal component of your 320 is a strong signal, since 160 is already the 82nd percentile. A 164V paired with a 156Q (93rd and 39th percentiles) reads as a strong humanities profile. The Quant component is largely irrelevant unless it is conspicuously low.
Social sciences PhD programs (sociology, political science, anthropology, geography, and some areas of psychology) show considerable variation but generally treat a 320 with a strong Verbal or balanced split as competitive. These fields lean on writing, so the AWA matters more here than in STEM. A 5.0 AWA is the 93rd percentile, and a 320 paired with it is a good combination for most social science PhD applications.
Public policy and public administration programs usually have moderate quantitative expectations and accept the GRE or GMAT. Harvard Kennedy School is a useful reference point because it publishes its rules: GRE or GMAT scores are required for the MPP unless you qualify for a waiver, which needs an overall B average plus B+ or better in statistics (or calculus) and intermediate economics. For its more quantitative MPA/ID degree, HKS says applicants are most competitive with a GRE Quant of 160 or above. A well-split 320 clears that line. Education PhD and EdD programs typically weight the GRE lightly, and many have dropped it.
In short, these are the program types where a 320 is at or above the bar:
- Master's programs at selective universities across most disciplines: 320 is usually at or above the published averages
- Humanities PhD programs (English, history, philosophy): 320 with strong Verbal (160+) is competitive where scores are read
- Social sciences PhD programs (sociology, political science, anthropology): 320 is generally competitive
- Public policy and public administration: a 320 with Quant near 160 meets the published guidance at schools like HKS
- Education PhD and EdD: 320 is strong for most programs that still look at scores
- MBA programs that accept the GRE: 320 is competitive at many programs but below the published medians of the most selective (see the MBA row below)
- Law-adjacent graduate programs (legal studies, criminology): 320 is comfortably competitive at most
Where a 320 May Not Clear the Bar
Honesty matters here, because overestimating what a 320 can do in certain applicant pools leads to wasted application fees, misaligned expectations, and disappointment. There are specific program types and institutions where a 320, even a well-split 320, may place you below the competitive range. Not because it is a bad score in the abstract, but because the people you are competing against score higher.
Statistics PhD programs are the clearest case, and one of the few with published numbers. Stanford's Statistics department still requires the GRE General Test and says the average scores of recently admitted applicants are 162 Verbal and 169 Quant. Against that, a 160 Quant inside a balanced 320 is nine points below the average admit, and even a 165 Quant (the 67th percentile overall) sits below it. Applicant pools like this are drawn overwhelmingly from students with heavy undergraduate maths, so a 165 Quant is unremarkable in them.
Be careful not to generalise that to every STEM department, because many of the most famous ones no longer read the test at all. MIT's EECS department says it does not use GRE scores in admissions, except for the LGO program, and Stanford's Computer Science department says GRE scores are not required and not considered from PhD applicants. For programs like these your 320 is irrelevant either way, and the decision rests on research, letters and coursework.
Economics PhD programs deserve special mention because they are extremely Quant-heavy and many still require the test: Yale's economics department, for example, requires the General Test of all PhD applicants. Few departments publish admitted averages, but the widely repeated field norm is a Quant of 165 or higher, rising toward 167+ at the very top. Treat that as a directional norm rather than a published cutoff. On it, a 160 Quant in a 320 total is a weakness that strong research experience, maths coursework and recommendations can partially offset, but it remains a meaningful disadvantage.
| Program type | What the evidence says about Quant | How a 320 fares |
|---|---|---|
| Statistics PhD (where the GRE is required) | Stanford Statistics: average admitted Quant 169 (published by the department) | A 160 or 163 Quant is well below the average admit; a 320 helps only if it breaks as roughly 152V/168Q |
| Economics PhD (top programs) | No common published figures; field norm 165+ Quant (directional) | A 160 Quant is a meaningful disadvantage, only partially offset by research and maths coursework |
| CS and EECS PhD at programs that do not use the GRE | Not applicable: MIT EECS and Stanford CS do not use scores | Irrelevant. Spend the time on research and your statement instead |
| Other quantitative PhDs (physics, engineering, operations research) | Varies by department; many are optional. Caltech Physics now requires the Physics Subject Test and only recommends the General Test | Check each department; where scores are read, 165+ Quant is the common target (directional) |
At test-optional programs, published GRE averages describe only the admits who chose to submit, and people tend to submit when their scores are strong. The figure can therefore flatter the typical admit or flatter the scores you need, depending on who submitted. For competitive STEM programs, treat a published average as a realistic target, not as a comfortable minimum.
The practical implication: if you are targeting a Quant-heavy PhD program that still reads the GRE with a 320 that includes a Quant below 165, your GRE score is a genuine weakness in your application. This does not mean you should not apply (other factors matter), but it does mean you should have a frank conversation with yourself about whether a retake is feasible and whether the investment of time is likely to pay off in admissions outcomes. See how to get a 325 for realistic strategies if you are in the 320 to 324 range and targeting programs that want more.
The Split Matters More Than the Total
If there is one thing to take away from this entire post, it is this: for graduate school admissions, your Verbal and Quant subscores matter more than their sum. A 320 is not a single piece of data. It is the combination of two very different numbers that tell two very different stories, and those stories are weighted differently by different program types.
Consider two applicants who both scored 320. Applicant A scored 168 Verbal and 152 Quant. Applicant B scored 152 Verbal and 168 Quant. The same total points in opposite directions depending on the program:
| Program | Applicant A (168V / 152Q) | Applicant B (152V / 168Q) |
|---|---|---|
| Philosophy PhD | Stronger on GRE alone: 168 Verbal is elite, weak Quant is essentially irrelevant | Weaker fit |
| Computer science master's | Weaker fit | Stronger: 168 Quant clears most bars, 152 Verbal is more than adequate |
| Social work master's | GRE difference likely does not matter much | GRE difference likely does not matter much |
The context determines the meaning of the number. The split question becomes most consequential when you have a mixed school list: applying to both humanities and STEM programs simultaneously, or mixing research-focused PhD programs with professional master's programs. In those cases, you cannot optimize your score for all programs at once. The rational approach is to identify which programs on your list are highest priority and optimize for those, accepting that your score will be less ideal for programs where it is less relevant.
Here is which subscore drives the decision, field by field:
| Field | Primary subscore | Benchmark and notes |
|---|---|---|
| Humanities PhD (English, history, philosophy, comparative lit) | Verbal | A 165+ Verbal is strong. Quant is largely ignored above 145. |
| Social sciences PhD (sociology, political science, anthropology) | Both, Verbal slightly more | A balanced 160/160 is solid. |
| Economics PhD | Quant | 165+ Quant is the common field norm for top programs (directional). Verbal matters less. |
| STEM PhD (statistics, physics, engineering, CS where scores are read) | Quant (dominant) | 165+ is the common target; Stanford Statistics reports a 169 Quant average for recent admits. |
| Public policy master's (MPP, MPA, MPH) | Both, neither extremely high | A 315 to 325 range with reasonable balance is good; HKS guidance for its MPA/ID is 160+ Quant. |
| Business (MBA using GRE) | Both, roughly equally at the top | HBS Class of 2027 medians are 164 Verbal and 164 Quant (a 328 total). |
| Education PhD/EdD | Neither typically differentiating | 310+ clears most bars. |
| Psychology PhD | Varies by subfield | Clinical psych programs care less about GRE than research-focused cognitive/developmental programs. |
Some programs publish separate score ranges for Verbal and Quant rather than a combined score. When they do, pay attention to the specific breakdown. A program that lists 'average Verbal 162, average Quant 158' has told you exactly where their class sits and which component matters more to their admitted pool. Programs often provide this on departmental websites even when the general graduate admissions page only shows combined scores.
Field-by-Field Guide: What Score You Actually Need
The following benchmarks are directional: they combine the few figures programs publish with patterns widely reported across competitive applicant pools. They represent competitive ranges for admission consideration, not absolute guarantees or hard cutoffs, and many programs in every row no longer require the GRE at all. Individual programs vary, and many factors beyond GRE scores influence admissions outcomes. Use these as orientation for building your school list and deciding whether to retake.
| Field | Quant target | Verbal target | How a 320 fits |
|---|---|---|---|
| Computer Science MS/PhD | 165+ where scores are read | 155+ avoids any concern | Many top departments, including MIT EECS and Stanford CS, do not use the GRE. Elsewhere a 160 Quant is workable for many MS programs and light for selective PhDs |
| Economics PhD | 163+ floor for top-30; 167+ for top-10 | 155+, secondary | A 320 with 158 Quant is a meaningful weakness at research-intensive economics programs |
| Statistics / Biostatistics PhD | 165 to 170 (one of the highest-Quant fields); Stanford Statistics reports a 169 average | Lower priority | Where scores are required, a 320 is likely below the Quant average at top statistics programs unless it breaks as roughly 168Q/152V |
| Physics / Engineering PhD | 165+ is the common target where the General Test is read | Lower priority | Many departments are optional; some physics programs care more about the Physics Subject Test |
| Psychology PhD (research-focused) | 155+ floor | 155+ floor | More balanced expectations; clinical programs often have lower GRE expectations than cognitive or neuroscience research programs |
| English / Literature PhD | Largely irrelevant above 145 | 160+ for competitive; mid 160s commonly cited at top programs | Verbal-driven, where the GRE is still read |
| History / Philosophy PhD | Lower priority | 160+ for strong programs; 163+ for top-15 | Similar to English |
| Sociology / Political Science PhD | 155+ | 155+, higher at research-intensive top-20 departments, particularly Verbal | Balanced, leaning Verbal at the top |
| Public Policy (MPP/MPA) | 155+ broadly competitive; 160+ at the most quantitative degrees | 155+ broadly competitive | HKS requires GRE or GMAT for the MPP unless waived and names 160+ Quant as most competitive for its MPA/ID; many strong programs expect less |
| Business (MBA using GRE) | Low to mid 160s at the most selective schools | Low to mid 160s at the most selective schools | HBS Class of 2027: medians 164V/164Q, middle 80% 158 to 168 Verbal and 159 to 169 Quant. A 160/160 sits inside both ranges but below both medians |
| Education (PhD/EdD) | 150+ broadly competitive; 158+ for research-intensive (learning sciences, measurement) | 150+ broadly competitive; 158+ for research-intensive | Neither score is typically a differentiating factor |
| Biomedical Sciences (PhD) | 160+ broadly expected; 163+ at top research programs | 155+ avoids concern | Quant-leaning |
A note on applying with scores below these ranges: these are benchmarks for competitive consideration, not application bans. Programs do admit applicants below their reported medians when other elements of the application are unusually strong, particularly research experience, publications, and relationships with faculty.
The score benchmarks above tell you where you need to be to avoid GRE being a weakness. Dropping significantly below them does not make application pointless, but it does shift more weight onto other application components.
Check program websites directly for reported score data. Graduate admissions offices often publish more detailed GRE information on departmental pages than on the central admissions site. Look for phrases like 'average scores of admitted students' or 'competitive range' rather than 'minimum scores,' which are often deliberately set low to avoid deterring applicants.
What to Do if You Have a 320 and Your Programs Want More
If your 320 puts you below the competitive range for programs you genuinely want to attend, you have several realistic options. Each one below is covered honestly, including the cases where it makes sense and the cases where it does not.
Option 1: A targeted retake
If your 320 breaks down as 155V/165Q and you are applying to English PhD programs that want 163+ Verbal, a Verbal-focused retake makes direct sense. Similarly, if you have 163V/157Q and you are applying to STEM programs that want 165+ Quant, a Quant-focused retake is a high-ROI move.
Targeted retakes are most effective when you know precisely which component needs improvement and have a specific, achievable target. As a planning assumption, not a promise, a gain of around 5 points on one measure is plausible with 6 to 8 weeks of concentrated work when you are starting in the 150s, and harder from the mid 160s. See how to get a 325 and how to get a 330 for roadmaps at those specific score levels.
Option 2: Strengthen other application elements
Research publications, strong letters of recommendation from well-known faculty, a compelling statement of purpose, and demonstrable expertise in the subject area can all partially compensate for a GRE score that sits below program medians. This is not a guarantee, it is a risk calculation.
If your research experience is genuinely strong, emphasizing it explicitly (not as a footnote, but as the centerpiece of your SOP) shifts the conversation away from the GRE score. This strategy works best at programs where the GRE plays a smaller role, which in practice means humanities, social sciences, and education programs rather than STEM fields with strict Quant floors.
Option 3: Request a GRE waiver
Some programs that require the GRE also have formal waiver processes for applicants with specific qualifications, typically a prior master's degree, significant professional experience in a related field, or strong grades in quantitative coursework. Harvard Kennedy School's MPP, for instance, waives its GRE or GMAT requirement for applicants with an overall B average and B+ or better in statistics (or calculus) and intermediate economics, provided the request is made by its waiver deadline. A successful waiver removes the GRE entirely from your application, which is often better than submitting a score that is a weakness. Note that this is different from ETS's Fee Reduction Program, which lowers the cost of the test itself and is covered in our GRE fee waiver guide.
Option 4: Expand your school list strategically
This does not mean lowering your ambitions. It means identifying more programs where your 320 is genuinely competitive and building a list with a reasonable distribution of reach, match, and likely programs. Many excellent PhD and master's programs fall into the range where a 320 is at or above median. A school list built around programs where your entire application profile is competitive will produce better outcomes than a list of dream schools where your GRE creates a consistent weakness.
Use the GRE readiness check to assess whether a retake is likely to improve your score meaningfully. Some score profiles show clear improvement potential; others have already reached close to ceiling for a given preparation level. Knowing which situation you are in before investing months in a retake prep cycle is valuable.
Should you retake a 320? A decision table
Before deciding, know how precise the number you are trying to beat is. ETS's reliability tables for the current GRE give a standard error of measurement of 3.17 points for Verbal and 2.56 for Quant, and ETS says a difference between two scores is only likely to be real at about 95% confidence once it exceeds twice the standard error of the difference: roughly 9 points in Verbal and 7 in Quant. A retake that lands 2 points higher may be luck, not progress. Plan a retake only when you need, and can realistically find, a clear gain on the measure your programs read.
| Your situation | Recommendation | Why |
|---|---|---|
| Your key measure is within 2 points of your programs' published average | Do not retake | The gap is inside the test's own measurement error. Time on your statement and letters will move more. |
| Your key measure is 3 to 5 points below the average, and you have 8 or more weeks | Retake, with prep aimed only at that measure | A gain of this size is realistic from the 150s and changes how the score reads, for example 160 to 165 Quant moves you from the 50th to the 67th percentile. |
| Your key measure is 6 or more points below and the deadline is under 6 weeks away | Usually apply with what you have, or seek a waiver | Large gains rarely arrive in a few weeks, and a rushed retake tends to reproduce the score. |
| Your programs do not use or require the GRE | Do not retake | MIT EECS and Stanford CS, for example, do not use scores at all. Check before you spend. |
| Your 320 is balanced but your field reads only one measure | Retake only that measure's prep | A 165 in the measure that matters beats a 325 with the gain in the wrong place. |
The mechanics are on your side. ETS lets you sit the General Test once every 21 days and up to five times in any rolling 12-month period, and ScoreSelect lets you send only the sitting you choose. Some programs go further: Stanford Statistics, for instance, says it considers the highest score from each section across eligible test dates. The cost is real, though. ETS's fees page lists the test at $249 in most of the world as of 5 October 2026, so a retake should be a decision, not a reflex.
Before you rebook, get a clean read on where you stand now. Sit one of our free full-length mocks under real timing, then compare the measure you need with your target on the percentile calculator. If the gap is under 3 points, the retake is probably not worth it.
How to Read Official Score Data for Programs You're Applying To
Learning to interpret the score data that programs publish is as important as knowing your own score. The numbers programs report are often presented in ways that require careful interpretation, and treating them uncritically leads to either overconfidence or unnecessary discouragement.
The most important distinction is between 'average' scores and 'minimum' scores. A reported minimum GRE score is typically a soft floor that the admissions office sets to avoid deterring applicants. It is almost never the actual score below which no one is admitted.
Average scores of admitted students are more meaningful, but they too have a limitation: they describe the people who were admitted, not the full applicant pool. Stanford Statistics reports an average admitted Quant of 169, but that does not mean every admitted student had a 169. An average that high is still compatible with some admits in the mid 160s who brought exceptional research, balanced by others at 170. The average is a center of mass, not a requirement.
When available, look for the 25th to 75th percentile range of admitted student scores rather than the average. A program that reports an average Quant of 165 might have a 25th to 75th percentile range of 162 to 168, which tells you that a meaningful fraction of admitted students scored below 162. When you cannot find this data, email the admissions office directly: a brief, polite inquiry about the typical score range of admitted students often gets a useful answer.
Some programs have adopted test-optional policies and no longer publish GRE data because they do not have it. For those programs, the score discussion becomes moot if you choose to apply without submitting. Check whether your target programs are test-optional. The list has changed substantially since 2020 and continues to evolve. The university requirements pages have information about which programs require the GRE, which accept it optionally, and which have waived it permanently.
Finally, pay attention to the distinction between GRE and GMAT. Business programs and some other professional programs that historically accepted only the GMAT now accept both. When a program reports combined GRE/GMAT data or only GMAT data, the GRE score ranges may not apply directly. ETS offers a GRE comparison tool for business schools that translates GRE scores into a predicted GMAT score, which is useful if you are applying to programs that think primarily in GMAT terms. Our GRE vs GMAT guide covers which test suits which applicant.
A 320 and What It Says About You
Admissions committees are reading your application to build a picture of who you are as a scholar or professional, and your GRE score is one brushstroke in that picture. Understanding how committees interpret a 320, not just numerically but contextually, helps you frame it appropriately in your application.
A 320 tells a committee that you have broad intellectual ability across verbal and quantitative domains. At the 76th percentile overall, it signals that you are a capable academic, not a marginal one. For many programs, this is sufficient for the GRE to stop being a topic of concern entirely and for reviewers to focus on research, writing, and fit. In those contexts, a 320 is effectively invisible: it clears the bar and disappears. The goal is for your GRE to not be the thing a committee talks about, and a 320 achieves that at most programs.
In competitive STEM applicant pools, however, a 320 may invite a quiet conversation among reviewers. Not necessarily a disqualifying one, but a question: 'Is this applicant's quantitative preparation sufficient for our program's coursework?' If your Quant is the component that creates doubt, three things become your counterargument:
- Your transcript, specifically your grades in quantitative courses
- Your research experience, particularly if it involves heavy computation, statistics, or mathematical modeling
- Your faculty recommenders' explicit statements about your quantitative ability
Address the potential concern proactively rather than leaving reviewers to wonder.
One thing that never helps: ignoring a borderline GRE score in your statement of purpose. You do not need to apologize for a 320 in your SOP, since doing so draws attention to it unnecessarily and can read as insecure. But if the score is a genuine outlier relative to the rest of your profile (strong GPA, strong research record, but mediocre GRE), a brief sentence acknowledging that standardized tests have not been your strongest demonstration of ability, followed by what you consider better evidence of your readiness, is a more sophisticated move than silence. It shows self-awareness and lets the committee weigh all the evidence rather than focusing on one data point.