In the fall of 2022, there were ***** male undergraduate students at Harvard University in the United States compared to ***** 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.

In the fall of 2022, *** undergraduate students at Harvard University were Hispanic or Latino. This compares to ***** White undergraduate students.

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

This paper leverages fine grained municipal level data from Sweden, including turnout figures separated by sex, to examine the political geography of the gender gap. Prominent arguments about the ``traditional'' gender gap claim that early on, women turned out at low rates and voted for conservative parties. Instead, I argue that when parties have clear geographic strongholds, gender gaps depend on population demographics and the mobilization of men and women in a given election. Using the computational method of bounds to estimate women's vote choice, I find that women in cities and large municipalities were much more supportive of the left than women in the countryside after suffrage. At the national level, high turnout among women in more populous municipalities drove the majority of women to support the left. These findings demonstrate that the partisan gender gap is not only a feature of gender, but also produced by electoral geography.

This project sought to provide an alternative population-level measurement of homeownership by gender, relying on individuals rather than households as the unit of analysis. Rather than start with household surveys, we examined municipal tax assessor records of homeownership, coding their gender using a name-recognition algorithm. The project found considerable differences between conventional measures that rely on surveys and our measure relying on tax administrative data.

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, ** percent of the freshman class in Fall 2024 (the Class of 2028) was female, compared to ** percent of male students and *** percent of students who identified as transgender or non-binary.

Descriptive statistics on Datasets on Gender-based violence

Dataset containing ~8000 entries with demographic information on places and 700 entries with information on territories between 1701 and 1808. The information was compiled mainly from original sources and thus carries the bias inherent to them! The original information has very varying categories within which population was recorded (along the lines of gender, civil status, age, "casta"-status and other) which were stored where possible, with some fields calculating aggregated sums from these fields. For more info, see attached metadata file.

About this dataset

Context

The dataset tabulates the population of Harvard town by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Harvard town. The dataset can be utilized to understand the population distribution of Harvard town by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Harvard town. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Harvard town.

Key observations

Largest age group (population): Male # 50-54 years (475) | Female # 50-54 years (424). 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.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

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.

Variables / Data Columns

• Age Group: This column displays the age group for the Harvard town population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Harvard town is shown in the following column.
• Population (Female): The female population in the Harvard town is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Harvard town for each age group.

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 Gender. You can refer the same here

Users can access data related to wide range of health and demographic statistics which are collected and complied by the United Nations. Background The Demographic Yearbook is created by the United Nations Statistics Division. Users can access demographic data from a variety of countries related, but not limited to population data, birth rate, death rate, population density, age distribution in a population, gender distribution in a population, life expectancy at birth, fertility rate, abortion rates, divorce rates, and urban/rural residence. Users can access the Demographic Yearbook or the Population and Vital Stat istics Report. User functionality Data is organized by year, country, and region. Data has been collected since 1948, however the amount of data varies across years. The Population and Vital Statistic Report comes out biannually in January and July of each year, with the most recent version from January 2011. The Population and Vital Statistics Report contains data from the latest census on population size and gender distribution. The Population and Vital Statistic Report is avai lable for down load in PDF format. The Demographic Yearbook offers complete download in PDF format, but also allows users to download individual tables in PDF or excel formats. Data Notes The Population and Vital Statistics report is available from 2006-present. The Demographic Yearbook has data from 1948-2008. The sources and dates of data are clearly outlined on the website.

The 2018 edition of Woods and Poole Complete U.S. Database provides annual historical data from 1970 (some variables begin in 1990) and annual projections to 2050 of population by race, sex, and age, employment by industry, earnings of employees by industry, personal income by source, households by income bracket and retail sales by kind of business. The Complete U.S. Database contains annual data for all economic and demographic variables for all geographic areas in the Woods & Poole database (the U.S. total, and all regions, states, counties, and CBSAs). The Complete U.S. Database has following components: Demographic & Economic Desktop Data Files: There are 122 files covering demographic and economic data. The first 31 files (WP001.csv – WP031.csv) cover demographic data. The remaining files (WP032.csv – WP122.csv) cover economic data. Demographic DDFs: Provide population data for the U.S., regions, states, Combined Statistical Areas (CSAs), Metropolitan Statistical Areas (MSAs), Micropolitan Statistical Areas (MICROs), Metropolitan Divisions (MDIVs), and counties. Each variable is in a separate .csv file. Variables: Total Population Population Age (breakdown: 0-4, 5-9, 10-15 etc. all the way to 85 & over) Median Age of Population White Population Population Native American Population Asian & Pacific Islander Population Hispanic Population, any Race Total Population Age (breakdown: 0-17, 15-17, 18-24, 65 & over) Male Population Female Population Economic DDFs: The other files (WP032.csv – WP122.csv) provide employment and income data on: Total Employment (by industry) Total Earnings of Employees (by industry) Total Personal Income (by source) Household income (by brackets) Total Retail & Food Services Sales ( by industry) Net Earnings Gross Regional Product Retail Sales per Household Economic & Demographic Flat File: A single file for total number of people by single year of age (from 0 to 85 and over), race, and gender. It covers all U.S., regions, states, CSAs, MSAs and counties. Years of coverage: 1990 - 2050 Single Year of Age by Race and Gender: Separate files for number of people by single year of age (from 0 years to 85 years and over), race (White, Black, Native American, Asian American & Pacific Islander and Hispanic) and gender. Years of coverage: 1990 through 2050. DATA AVAILABLE FOR 1970-2019; FORECASTS THROUGH 2050

About this dataset

Context

The dataset tabulates the population of Harvard by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Harvard. The dataset can be utilized to understand the population distribution of Harvard by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Harvard. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Harvard.

Key observations

Largest age group (population): Male # 15-19 years (69) | Female # 10-14 years (63). 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.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

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.

Variables / Data Columns

• Age Group: This column displays the age group for the Harvard population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Harvard is shown in the following column.
• Population (Female): The female population in the Harvard is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Harvard for each age group.

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 Population by Gender. You can refer the same here

Iran Population Data from http://irandataportal.syr.edu/population

The data and programs replicate tables and figures from "Sexual Harassment and Gender Inequality in the Labor Market", by Folke and Rickne. Please see the README file for additional details.

Replication Data for: Elite Influence on Attitudes about Gender Egalitarianism: Evidence from a Population-Based Survey Experiment

Data, codebook, and replication code for "Gender Identity as a Political Cue: Voter Responses to Transgender Candidates". Abstract: Voters frequently use demographic characteristics such as race or gender as shortcuts when evaluating politicians. We use two survey experiments to show that a candidate’s gender identity (specifically whether they identify as the same gender as the sex they were assigned at birth) functions as a similar cue. When a news story identified a candidate as transgender, respondents rated them as more liberal and less likely to represent them, and less likely to receive their vote. The overall electoral penalty is moderated by voters’ party, ideology, religiosity, and authoritarianism. In contrast to research on other demographic cues, we find that these effects persist even in the presence of cues about the candidate’s party, suggesting that voters infer substantial information from politicians’ gender identity.

This is data collected from a survey that was for members of GLAM institutions that were contributing to open knowledge projects (Wikidata, Wikipedia, SNAC, etc.). The purpose of the survey was to learn about policies and practices, or lack thereof, GLAM staff are following around contributing demographic information for living people (e.g., Sex or Gender, Ethnic Group, Race, Sexual Orientation, etc.) to open knowledge projects. Information collected from this survey will inform an ethical investigation into issues surrounding these practices.

Although median age of marriage has increased in Egypt to 21 years for women and 23 years for men and despite the presence of a law that sets the minimum age of marriage at 18 years, child marriage continues to exist in Egypt. According to Survey of Young People in Egypt (SYPE) 2014, 21.1% of married female youth aged 25-29 in Egypt were married before 18 while 33.3% of young women residing in rural Upper Egypt were reported to be married before 18. Early marriage deprives a girl of education and employment opportunities and places her at risk of early and repeat pregnancy, gender based violence (GBV) and sexually transmitted infections (STIs). The present study examines sexual and reproductive health (SRH) needs of married adolescent girls (MAGs) in rural Upper Egypt and identifies key contextual and cognitive factors that could mitigate or exacerbate the effects of early marriage on MAGs sexual and reproductive health.

Demographics is the theme that presents information on global demographics, which demonstrates the population structure, mortality, fertility, and life expectancy by age, gender, and residency status.

Users can view cross-nationally comparable information pertaining to chronic diseases and their causes for the 193 WHO member states. Background The Global InfoBase is a database maintained by the World Health Organization (WHO). This database provides information pertaining to chronic diseases and their risk factors for WHO member states. Topics include: alcohol use, overweight, blood pressure, cholesterol, diabetes, diet, physical activity, oral health, stroke, and tobacco use. User Functionality Users can search by country and chronic illness indicator. Users can also compare statistics ac ross countries. Demographic information is available by gender and age group. Data Notes Data are available for the 193 WHO member states. Surveys from which data were derived and years to which the statistics apply are indicated with the statistics. Most data is from 2004.