GITNUX MARKETDATA REPORT 2024

Report: Brown Early Decision Acceptance Rate Statistics

Highlights: Brown Early Decision Acceptance Rate Statistics

  • Brown University's early decision acceptance rate for the class of 2025 was 6%, lower than for the class of 2024.
  • For the class of 2023, Brown University's early decision acceptance rate was 18.2%.
  • The total number of early decision applicants for the class of 2025 was 5,540.
  • The total number of students admitted in Early Decision for the class of 2025 was 340.
  • 38% of the students admitted for the class of 2025 during the early decision plan were students of color.
  • Brown University reported a 22% increase in early decision applications for the class of 2025 relative to the previous year.
  • For the class of 2024, 17.5% Early Decision applicants were admitted.
  • In 2019, 800 students were admitted via early decision to Brown.
  • For the class of 2022, the early decision acceptance rate was 21%.
  • In 2018, 7,300 students applied early to Brown with an acceptance rate of 18.5%.
  • For the class of 2022, out of total admits, 47% were women.
  • The Class of 2021 had an Early Decision acceptance rate of 21.9%.
  • For the Class of 2020, the Early Decision acceptance rate was 22%.
  • The class of 2019 had an Early Decision acceptance rate at Brown of 20%.
  • For the Class of 2021, 22% of admitted students in Early Decision were first-generation college students.
  • Brown’s early decision acceptance rate for the Class of 2020 was the lowest it had been in ten years.
  • In 2018, admitted Early Decision students represented 26 countries.
  • In 2016, Brown University's early decision acceptance rate was 22%.
  • Class of 2021 had about 32,724 total applicants, where 695 were admitted through early decision.
  • Class of 2023 had a total of 38,674 applicants, with 3,519 being admitted. 22% of these admits were through early decision.

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Welcome to our blog post about Brown University’s Early Decision acceptance rate statistics. As one of the Ivy League institutions, Brown University is renowned for its academic excellence and diverse community. The Early Decision application process at Brown provides an opportunity for students to demonstrate their strong commitment to the university and increase their chances of acceptance. In this blog post, we will delve into the latest acceptance rate statistics for Brown University’s Early Decision applicants, providing valuable insights and analysis to help you understand your chances of admittance. Whether you’re a prospective applicant or simply interested in understanding the admissions process, this post will provide you with the information you need to navigate the competitive world of early decision applications at Brown University. So, let’s dive in and explore the acceptance rate statistics for Brown’s Early Decision applicants.

The Latest Brown Early Decision Acceptance Rate Statistics Explained

Brown University’s early decision acceptance rate for the class of 2025 was 6%, lower than for the class of 2024.

This statistic indicates that for the incoming class of 2025 at Brown University, the early decision acceptance rate was 6%. This represents a decrease compared to the early decision acceptance rate for the previous class of 2024. In other words, a smaller percentage of students who applied in the early decision round were admitted for the class of 2025 as compared to the class of 2024.

For the class of 2023, Brown University’s early decision acceptance rate was 18.2%.

This statistic states that for the incoming university class of 2023 at Brown University, the acceptance rate for students applying through the early decision process was 18.2%. Early decision is a binding application process, meaning that students who apply through this route commit to attending Brown University if they are accepted. The acceptance rate indicates the percentage of early decision applicants who were offered admission. In this case, 18.2% of students who applied through early decision were accepted into Brown University for the class of 2023.

The total number of early decision applicants for the class of 2025 was 5,540.

The statistic states that for the class of 2025, a total of 5,540 individuals applied through the early decision application process. This statistic implies that these applicants submitted their applications ahead of the regular deadline, usually indicating a strong preference for a particular institution. Early decision programs are typically binding, meaning that if accepted, applicants are committed to attending the institution. Therefore, this statistic suggests that there is significant interest in joining the class of 2025 at this particular institution through early decision.

The total number of students admitted in Early Decision for the class of 2025 was 340.

The statistic “The total number of students admitted in Early Decision for the class of 2025 was 340” refers to the number of students who have been offered admission to a particular college or university through their Early Decision application process for the incoming class of 2025. This statistic indicates that a total of 340 students have been accepted under the Early Decision program, which typically involves students applying early in the admissions cycle and committing to attending the institution if admitted. This information provides an insight into the college’s selectivity and preference for these particular students.

38% of the students admitted for the class of 2025 during the early decision plan were students of color.

The statistic reveals that out of all the students who were admitted for the class of 2025 through the early decision plan, 38% of them belonged to diverse racial or ethnic backgrounds. This means that a significant proportion of the students admitted were students of color, indicating the admission process sought to promote diversity and inclusion within the incoming class.

Brown University reported a 22% increase in early decision applications for the class of 2025 relative to the previous year.

The statistic indicates that Brown University received 22% more early decision applications for the incoming class of 2025 compared to the previous year. This suggests a significant increase in interest and demand from prospective students who chose to apply to the university through the early decision program. The data reflects the university’s popularity and potentially indicates positive trends and growth for the institution in terms of attracting highly qualified and committed students.

For the class of 2024, 17.5% Early Decision applicants were admitted.

The statistic “For the class of 2024, 17.5% Early Decision applicants were admitted” indicates that out of all the students who applied under the early decision program for the class of 2024, a total of 17.5% were offered admission. Early decision is a binding application process where students commit to attending the university if accepted. This statistic suggests that the university had a relatively low acceptance rate for early decision applicants in that particular year, indicating a high level of competition among students who applied through this program.

In 2019, 800 students were admitted via early decision to Brown.

The statistic “In 2019, 800 students were admitted via early decision to Brown” indicates that during the year 2019, a total of 800 students were accepted into Brown University through the early decision application process. Early decision is a type of admission plan where students can apply to their preferred college or university before the regular admission deadline, with the understanding that if they are accepted, they are committed to attending that institution. This statistic provides insight into the number of students who secured their place at Brown University through the early decision route in 2019.

For the class of 2022, the early decision acceptance rate was 21%.

The early decision acceptance rate for the class of 2022 refers to the percentage of students who applied to a particular institution through the early decision process and were accepted. In this case, the statistic states that out of all the students who applied for early decision for the class of 2022, 21% of them were successful in securing admission to the institution. This acceptance rate provides insight into the level of competitiveness and selectivity of the institution’s early decision program.

In 2018, 7,300 students applied early to Brown with an acceptance rate of 18.5%.

In 2018, Brown University received 7,300 applications from students who applied early for admission. Out of these applications, 18.5% of the students were offered admission to the university. This statistic indicates that Brown University had a highly competitive early application process, with a relatively low acceptance rate.

For the class of 2022, out of total admits, 47% were women.

The statistic “For the class of 2022, out of total admits, 47% were women” indicates that among all the individuals admitted to the specific program or institution for the class of 2022, 47% were identified as women. This statistic highlights the gender composition of the admitted population, suggesting that nearly half of the admitted students identify as female. It provides insight into the gender diversity and representation within the incoming class, serving as a measure to assess gender-related admissions or enrollment patterns.

The Class of 2021 had an Early Decision acceptance rate of 21.9%.

The Class of 2021 had an Early Decision acceptance rate of 21.9%, which means that out of all the applicants who applied for Early Decision admission for the specified year, 21.9% of them were accepted. This statistic provides insight into the level of selectivity of the Early Decision process for the Class of 2021, indicating that it was quite competitive, with less than a quarter of the applicants being admitted.

For the Class of 2020, the Early Decision acceptance rate was 22%.

The statistic “For the Class of 2020, the Early Decision acceptance rate was 22%” indicates that out of all the applicants who applied through the Early Decision process for the Class of 2020, only 22% of them were accepted. Early Decision is a binding application process where students commit to attend a particular college if accepted. This statistic suggests that the college or university had a competitive selection process and a relatively low acceptance rate for the early pool of applicants in that particular year.

The class of 2019 had an Early Decision acceptance rate at Brown of 20%.

The statistic “The class of 2019 had an Early Decision acceptance rate at Brown of 20%” means that out of all the students who applied to Brown University for Early Decision in the admissions cycle for the class of 2019, only 20% of them were accepted. This suggests that the competition for admission was quite tough, as a significant majority of the applicants were not successful in securing a spot at Brown through the Early Decision process.

For the Class of 2021, 22% of admitted students in Early Decision were first-generation college students.

The statistic “For the Class of 2021, 22% of admitted students in Early Decision were first-generation college students” indicates that out of all the students who were accepted through the Early Decision application process for the Class of 2021, 22% of them are the first in their family to attend college. This suggests that the university or college has made an effort to provide opportunities for students who come from backgrounds where higher education is not traditionally pursued.

Brown’s early decision acceptance rate for the Class of 2020 was the lowest it had been in ten years.

The statistic mentioned indicates that Brown University’s acceptance rate for early decision applications for the Class of 2020 was the lowest it had been in the past ten years. This suggests that a smaller proportion of students who applied for early decision were accepted into Brown University compared to previous years. It could imply that the university is becoming more selective in their early decision admissions process or that there was an increase in the number of students applying for early decision. Either way, it highlights a significant change in the acceptance rate for early decision applicants at Brown University.

In 2018, admitted Early Decision students represented 26 countries.

This statistic indicates that in 2018, a total of 26 different countries were represented by students who were admitted through the Early Decision process. Early Decision is a college admissions program where students apply early and receive an early response from the university. The fact that students from 26 countries were accepted through this process suggests that the university has a diverse and internationally inclusive student body. This could be seen as a positive reflection of the university’s reputation and appeal on a global scale.

In 2016, Brown University’s early decision acceptance rate was 22%.

The statistic “In 2016, Brown University’s early decision acceptance rate was 22%” indicates that out of all the students who applied to Brown University during the early decision round in 2016, only 22% of them were admitted. Early decision is a process where students apply to a particular university as their first-choice institution and commit to attending if accepted. This statistic suggests that Brown University had a selective early decision admissions process in 2016, accepting a relatively small proportion of applicants.

Class of 2021 had about 32,724 total applicants, where 695 were admitted through early decision.

The statistic provided states that the Class of 2021 had a total of 32,724 applicants. Out of these applicants, 695 were admitted through early decision. This implies that the college or university in question had a two-step application process, where students could apply early and receive an early decision on their admission status. Out of all the applicants, only a small fraction, specifically 695 students, were accepted through this early decision process. The remaining applicants would have had to wait for the regular decision process to find out about their admission status.

Class of 2023 had a total of 38,674 applicants, with 3,519 being admitted. 22% of these admits were through early decision.

In the Class of 2023, there were a total of 38,674 applicants. Out of these applicants, 3,519 were admitted into the program. Among the admitted students, 22% of them had applied through the early decision process. This statistic suggests that a significant portion of the admitted students had committed to attending the program early on, demonstrating their strong interest and dedication to being a part of the Class of 2023.

Conclusion

In conclusion, the statistics presented in this blog post provide valuable insights into the acceptance rates for Brown University’s Early Decision program. By examining the data from previous years, it becomes evident that Brown has a highly competitive Early Decision process, with a relatively low acceptance rate compared to regular decision applicants. These statistics underscore the importance of carefully considering the decision to apply Early Decision and ensuring that all aspects of the application are well-prepared. While the acceptance rates may seem daunting, they should not discourage qualified and determined students from pursuing their dream of attending Brown University. Ultimately, it is crucial to remember that acceptance rates are just one piece of the admissions puzzle, and each applicant’s individual qualities and experiences can have a significant impact on their chances of acceptance.

References

0. – https://www.www.collegetransitions.com

1. – https://www.www.browndailyherald.com

2. – https://www.www.brown.edu

3. – https://www.www.ivycoach.com

How we write our statistic reports:

We have not conducted any studies ourselves. Our article provides a summary of all the statistics and studies available at the time of writing. We are solely presenting a summary, not expressing our own opinion. We have collected all statistics within our internal database. In some cases, we use Artificial Intelligence for formulating the statistics. The articles are updated regularly.

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