In the fall of 2022, there were 3,471 male undergraduate students at Harvard University in the United States compared to 3,735 female undergraduate students. In addition to the fact that there are more women than men attending Harvard University as undergraduates, the student body also reflects a diverse population, although White undergraduate students still outnumber students of other races.

About this dataset

Context

The dataset tabulates the population of Harvard town by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Harvard town across both sexes and to determine which sex constitutes the majority.

Key observations

There is a majority of male population, with 54.77% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Harvard town is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Harvard town total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Harvard town Population by Race & Ethnicity. You can refer the same here

Across the Ivy League, more females than males tended to be enrolled in the Class of 2028 (those entering in the Fall of 2024). At Columbia University, 51 percent of the freshman class in Fall 2024 (the Class of 2028) was female, compared to 47 percent of male students and two percent of students who identified as transgender or non-binary.

This paper analyzes the influence of female participation on the performance and financial risk considering a sample of 218 public companies traded on B3 (Bovespa) from 2010 a 2016. The study also analyzes the influence of female participation on family control companies. Using a random effects methodology and family control dummy and percentage of female presence in boards of director, the study sought to analyze how theses variables and their interactions affect the financial performance of companies. Although the female representation has grown more than 50% in recent years, this share, however, in the board of directors of Brazilian companies is still a minority, close to 9% of the total surveyed. The ownership structure in the family firms is very relevant, with the percentage of 63%. The results suggest a positive relation between female participation and the Tobin-Q, used by value’s proxy, however, this relationship is weaker for firms with a family control. Another result found is that volatility, taken here as a risk’s proxy, is reduced in family run-business.

Using data from all elections to the Australian House of Representatives between 1903 and 2004, we examine the relationship between candidates’ gender and their share of the vote. We find that the vote share of female candidates is 0.6 percentage points smaller than that of male candidates (for major parties, the gap widens to 1½ percentage points), but find little evidence that the party preselection system is responsible for the voting bias against women. Over time, the gap between male and female candidates has shrunk considerably as a result of changes in social norms (as proxied by the gender pay gap and attitudinal data) and the share of female candidates running nationwide. We find little evidence that party-based affirmative action policies have reduced the gender penalty against female candidates.

We posit that household decision-making over fertility is characterized by moral hazard since most contraception can only be perfectly observed by the woman. Using an experiment in Zambia that varied whether women were given access to contraceptives alone or with their husbands, we find that women given access with their husbands were 19 percent less likely to seek family planning services, 25 percent less likely to use concealable contraception, and 27 percent more likely to give birth. However, women given access to contraception alone report a lower subjective well-being, suggesting a psycho-social cost of making contraceptives more concealable.

DREAMS aims to reduce HIV infections among adolescent girls and young women in 10 sub-Saharan African countries. Girls and young women account for 74 percent of new HIV infections among adolescents in sub-Saharan Africa. The 10 DREAMS countries account for more than half of all the new HIV infections that occurred among adolescent girls and young women globally in 2016. Phase 1 data collection with young women ages 15–24 years from Kisumu county, Kenya. Cross-sectional data collection. Age-stratified random sampling from rosters of eligible respondents were used to recruit adolescent girls and young women into survey.

The Tathmini GBV study was a cluster randomized trial to assess the impact of a comprehensive health facility- and community-based program delivered through the HIV/AIDS program platform on reduction in gender-based violence and improved care for survivors. Twelve health facilities and surrounding communities in the Mbeya Region of Tanzania were randomly assigned to intervention or control arms. Population-level effects were measured through two cross-sectional household surveys of women ages 15–49, at baseline (n=1,299) and at 28 months following program scale-out (n=1,250). Delivery of gender-based violence services was assessed through routine recording in health facility registers. Generalized linear mixed effects models and analysis of variance were used to test intervention effects on population and facility outcomes, respectively. At baseline, 52 percent of women reported an experience of recent intimate partner violence. The odds of reporting experience of this violence decreased by 29 percent from baseline to follow-up in the absence of the intervention (time effect OR=0.71, 95% CI: 0.57–0.89). While the intervention contributed an additional 15 percent reduction, the effect was not statistically significant. The program, however, was found to contribute to positive, community-wide changes including less tolerance for certain forms of violence, more gender-equitable norms, better knowledge about gender-based violence, and increased community actions to address violence. The program also led to increased utilization of gender-based violence services at health facilities. Nearly three times as many client visits for gender-based violence were recorded at intervention (N=1,427) compared to control (N=489) facilities over a 16-month period. These visits were more likely to include the provision of an HIV test (55.3% vs. 19.6%, p=.002). The study demonstrated the feasibility and impact of integrating gender-based violence and HIV programming to combat both of these major public health problems. Further opportunities to scale out GBV prevention and response strategies within HIV/AIDS service delivery platforms should be pursued.