**JEE Main Percentile Vs Rank 2019: **JEE Main 2019 Result has been announced and candidates can now check their JEE Main Result **@ jeemain.nic.in**. The JEE Main result is prepared based on the JEE Main Normalization score which is expressed as Percentile Score (NTA Score). Neither the marks secured by the candidates (i.e. subject-wise marks as well as the total marks obtained by the students out of 360) nor their ranks in JEE Main 2019 were mentioned in the JEE Main scorecard released by NTA. Only the percentile scores in each subject and the total percentile score of the candidates are mentioned.

The percentile score (NTA score) is a relative score in which the topper will get a percentile score of 100. Thus, candidates will not have a clear idea of the range of the rank for the JEE Percentile Scored by the candidate. So, in this article, we are providing you with the expected JEE Main Percentile vs Rank for JEE Main 2019 April and January session.

## JEE Main Percentile Vs Rank 2019

Based on the data collected the expected JEE Main Percentile Vs Rank for April session is tabulated below:

Percentile Score |
Expected Rank |

99 to 100 | 1 to 11500 |

95 to 99 | 11500 to 57000 |

90 to 95 | 57000 to 115000 |

Based on the data collected, the expected JEE Main Percentile Vs Rank for January 2019 is tabulated below:

Percentile Scores (NTA Score) |
Expected Rank |

100 | 1 |

99 | 8746 |

98 | 17,490 |

97 | 26,235 |

96 | 34,980 |

95 | 43,724 |

94 | 52,469 |

93 | 61,214 |

92 | 69,959 |

91 | 78,703 |

90 | 87,448 |

85 | 1,31,171 |

80 | 1,74,895 |

70 | 2,62,342 |

60 | 3,49,789 |

50 | 4,37,236 |

40 | 5,24,682 |

30 | 6,12,129 |

20 | 6,99,576 |

10 | 7,87,023 |

5 | 8,30,747 |

0 | 8,74,469 |

Now you have an idea about the expected JEE Main Percentile Vs Rank. But what exactly is Percentile Score? How is Percentile calculated? How is the rank of the candidates determined from Percentile Scores?

Let’s understand all these things.

### JEE Main Percentile Vs Rank 2019: What Is Percentile Score?

Percentile score tells how you have performed in comparison to all other students who appeared for the exam. It is neither the percentage score (which is the percentage of the maximum marks that you have secured) nor the raw marks (absolute marks secured by you).

Percentile score tells you what percentage of the total number of students who appeared for the exam scored less than or equal to that particular percentile in that examination.

The formula to calculate percentile score is as under:

Percentile Score of a Candidate = **100 x (Number of candidates who secured a raw score (or actual score) EQUAL TO OR LESS than the candidate) / (Total number of candidates who appeared in that session).**

With this formula, the raw marks of the candidates are normalized and expressed as Percentile Score (also called NTA Score) and the discrepancy caused by variation of difficulty level across various sessions are eliminated.

### JEE Main Percentile Vs Rank 2019: How Does Normalization Eliminate Discrepancies Caused By Variation Of Difficulty Level?

Let us elaborate it with an example.

Let’s start with the following assumptions:

- a. Candidate A appeared for the exam in Session 1.
- b. Candidate A secured the highest marks among all the students who appeared in that Session 1. He scored 350 out of 360.
- c. A total of 45632 students appeared for the exam in Session 1.
- d. Candidate B appeared for the exam in Session 2.
- e. Candidate B secured the highest score among all the students who appeared in that Session 2. She scored 310 out of 360.
- f. A total of 45067 students appeared for the exam in Session 2.
- g. Session 1 was easier than Session 2.

Now, if we consider the raw scores secured by Candidate A (350) and Candidate B (310) to create the merit list, of course, Candidate A would be the overall topper.

That would be unfair because Session 2 was more difficult than Session 1.

Now, let’s see what happens if we normalize the scores secured by Candidate A and Candidate B using the above formula and express them in Percentile.

**In Session 1:**

No. of candidates who secured a raw score EQUAL TO OR LESS than Candidate A **= 45632 **

Total number of candidates who appeared in Session 1: **45632**

Using the above formula,

**Percentile Score Obtained by Candidate A = 100 x (45632/45632) = 100**

**In Session 2:**

No. of candidates who secured a raw score EQUAL TO OR LESS than Candidate B **= 45067 **

Total number of candidates who appeared in Session 1: **45067 **

Using the above formula,

**Percentile Score Obtained by Candidate A = 100 x (45067 /45067) = 100**

So, you see, when expressed in Percentile, both the candidates have secured the same scores.

Let us assume the following scenarios as well:

**In Session 1:**

- a. Both Candidate C and Candidate D secure 2
^{nd}position with a raw score of 334 - b. Candidate E secures the 3
^{rd}position with a raw score of 305

**In Session 2:**

- a. Candidate F secures the 2
^{nd}position with a raw score of 305 (same as the raw score secured by the 3rd position holder of Session 1)

Now, if we consider the raw scores to compile the merit list, then the ranks of Candidates A, B, C, D, E, and F are as under:

Candidate A (350) | 1^{st} Position |

Candidate B (310) | 3^{rd} Position |

Candidate C (334) | 2^{nd} Position |

Candidate D (334) | 2^{nd} Position |

Candidate E (305) |
4^{th} Position |

Candidate F (305) |
4^{th} Position |

Here, you can see that both Candidate E and Candidate F secured the same marks and hence, the same rank. But Candidate E appeared in Session 1 which was easier than Session 2. So, Candidate F should have been the one with a better rank than Candidate E. But that’s not happening because the variation in difficulty level was not considered.

Let us look at the Percentile Scores of the candidates now:

- Percentile Score of Candidate C = 100 (
) = 99.9978086*45631/45632* - Percentile Score of Candidate D = 100 (
) = 99.9978086*45631/45632* - Percentile Score of Candidate E = 100
= 99.9934257**(45629/45632)** - Percentile Score of Candidate F = 100
*(*= 99.9977811**45066/45067**)

Now, the merit list considering the Percentile Scores is as under:

Candidate A (350) | 1^{st} Position |

Candidate B (310) | 1^{st} Position |

Candidate C (334) | 2^{nd} Position |

Candidate D (334) | 2^{nd} Position |

Candidate E (305) |
4^{th} Position |

Candidate F (305) |
3^{rd} Position |

You can see that when the Percentile score is considered, Candidate F gets a better rank than Candidate E. So, the discrepancy in the result that would have caused if we had considered the raw scores secured by the candidates who appeared for the exam in different sessions having different difficulty level have been eliminated.

It is in this manner JEE Main percentile scores are calculated and the ranks are determined. Basically, your Percentile Score indicates the percentage of students who secured less than or equal to the raw score obtained by you.

### JEE Main Percentile Vs Rank 2019: How Is The Rank Determined Using Percentile Scores?

As you can see, in the above example, we considered just the total Percentile Scores secured by Candidate A and Candidate B to determine their ranks. While compiling the actual JEE Main Merit List, the total, as well as the subject-wise Percentile scores, will be considered in the following order:

- Candidates who obtain a higher Total Percentile score will be given preference.
- If the tie still persists, candidates who obtain higher Percentile Score in Mathematics will be considered,
- If the tie still exists, candidates who obtain higher Percentile Score in Physics will be given preference,
- If the tie persists even after that, candidates who obtain higher Percentile Score in Chemistry will be considered,
- If the tie exists even after that, the candidate who is older (in age) will be considered,
- If the tie still exists after that, the candidates will be given the same rank.

Also, if the candidate appears for JEE Main in both April and January, the best of the two Total Percentile Score will be considered. The Subject-wise Percentile Scores will not be taken into consideration.

But if the candidate appears for JEE Main either in January or in April, both Total and Subject-wise Percentile Scores will be considered.

Now, you have a clear idea not just about JEE Main Percentile Vs Rank but also how the Percentile Score or NTA Score is calculated and how the ranks are determined. We hope it clears all your doubt regarding JEE Main normalization and JEE Main Percentile Vs Rank.

The expected JEE Main Percentile Vs Rank also gives you an idea about whether or not you are likely to get into your dream college with your current NTA Score. You can now plan your next steps accordingly.

If you are planning to appear for JEE Main 2019 in the April session, make proper use of the remaining time. Go through the **JEE Main Analysis 2019** for the January session and get an idea about what to expect in the actual exam. Prepare accordingly.

Revise the whole syllabus and focus more on the important chapters for JEE Main as well as your weak chapters. Solve as many **JEE Main practice questions** as possible and take **JEE Main mock tests**.

Also, with Embibe’s Artificial Intelligence-powered tool **RANKUP**, you can get personalized guidance for your preparation and improve on your academic weaknesses and test-taking skills. This, in turn, will guarantee your score improvement in JEE Main April 2019. So, what are you waiting for?

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