In the fall of 2022, 852 undergraduate students at Harvard University were Hispanic or Latino. This compares to 2,436 White undergraduate students.

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Harvard by race. It includes the distribution of the Non-Hispanic population of Harvard across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Harvard across relevant racial categories.

Key observations

Of the Non-Hispanic population in Harvard, the largest racial group is White alone with a population of 4,204 (92.44% of the total Non-Hispanic population).

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Harvard
• Population: The population of the racial category (for Non-Hispanic) in the Harvard is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Harvard total Non-Hispanic 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 Population by Race & Ethnicity. You can refer the same here

In Harvard University's Class of 2025, **** percent of Hispanic or Latinx students were first-generation college students. A further **** percent of South Asian students at Harvard in the Class of 2025 were first-generation students.

About this dataset

Context

The dataset tabulates the population of Harvard by race. It includes the population of Harvard across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Harvard across relevant racial categories.

Key observations

The percent distribution of Harvard population by race (across all racial categories recognized by the U.S. Census Bureau): 64.71% are white, 0.51% are Black or African American, 0.29% are American Indian and Alaska Native, 0.52% are Asian, 10.18% are some other race and 23.80% are multiracial.

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Harvard
• Population: The population of the racial category (excluding ethnicity) in the Harvard is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Harvard 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 Population by Race & Ethnicity. You can refer the same here

This dataset contains indicators for both the decennial Census and American Community Survey (ACS) describing the population of Massachusetts through census geographies associated with the 2020 Decennial Census. Decennial Census indicators exist as the block, block group, and tract levels. ACS indicators are only at the block group and tract levels. The American Community Survey is produced annually by the U.S. Census Bureau in one-, three-, and five-year estimates. It details basic information on demographics, race and ethnicity, economics, education levels, transportation modes, family and households characteristics, etc. The indicators here are from five-year estimates. Raw data and more information on the American Community Survey can be found at https://www.census.gov/programs-surveys/acs/.

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 town by race. It includes the population of Harvard town across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Harvard town across relevant racial categories.

Key observations

The percent distribution of Harvard town population by race (across all racial categories recognized by the U.S. Census Bureau): 80.99% are white, 6.10% are Black or African American, 0.36% are American Indian and Alaska Native, 5.17% are Asian and 7.37% are multiracial.

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Harvard town
• Population: The population of the racial category (excluding ethnicity) in the Harvard town is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race 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

Players rated by appearance for an analysis of the racial demographics of club rosters

SeeClickFix data (issue IDs & statistics) along with socioeconomic, demographic and walkability information: - Neighborhood names (nei_final_simple) - Number of unique users - Number of issue reports - Number of thanks and votes - Number of anonymous issue reports - Number of non-anonymous reports and reporters - Response times, in seconds - Median household incomes - Household types count - Population and population density - Race and ethnic population - Age range population - Marital statuses count - Employment statuses count - Food stamps count - Educational attainments count - Walk, transit, bike scores SeeClickFix data was collected in April 2018 and includes reported civil issues between January 5, 2010 and February 10, 2018. Socioeconomic and demographic information was collected from Statistical Atlas (https://statisticalatlas.com/place/New-York/Albany/Overview), which obtains its data from the US Census Bureau, and Walk, Bike and Transit Scores were collected from the WalkScore website (https://www.walkscore.com/).

Major goals in ecosystem ecology have been to scale from leaves to canopies and to determine whether individual-level, intra-species and inter-specific variation is critical for models projecting ecosystem processes now and in the future. The project is important in that it examines these issues in detail considering genotypes and levels of gene expression all the way up to canopy level CO2 flux. Ecological genomics and transcriptomics are nascent fields that have been primarily restricted to model species in natural and (mostly) controlled environments. To date, we have very few studies of non-model organisms in nature and/or studies of functional genomics through space and time. The research is producing extraordinarily rich datasets regarding the gene expression of trees across populations, through space in each population, across the growing season and across years and linking this information to growth and gas exchange. It will, therefore, provide tremendous insights into how much variation exists in nature thereby guiding sampling designs in future ecological 'omics projects. More importantly, it will provide unusually detailed phenotypic information for important non-model species that have large impacts on the CO2 flux of eastern US forests.

MY-Health is a cross sectional study where a population-based sample of 5,500 adult cancer patients were be recruited for a mailed survey (with telephone follow-up of non-responders) to evaluate the equivalence of PROMIS measures across socio-demographic and clinical sub-groups. Patients diagnosed with any of seven cancers were eligible (female breast cancer, uterine and cervical cancers, prostate cancer, colorectal cancer, non- small cell lung cancer (NSCLC) and non-Hodgkin’s Lymphoma) to ensure a wide age range of adults (ages 21-84) with varying treatment experiences and potential symptoms. MY-Health focused on seven domains that are important to cancer outcomes and that are relevant to other chronic diseases: pain, depression, anxiety, sleep disturbance, fatigue, social function, and physical function. Since MY-Health is a “validation” study focusing on minorities and the underserved, racial/ethnic minorities drawn from 4 registries in 3 states (California, New Jersey, Louisiana) were oversampled Study Aims Use item-response theory (analysis of Differential Item Function (DIF)) to evaluate the measurement properties of PROMIS item banks across age and race/ethnic groups from a population-based sample of cancer patients. Evaluate the ability of PROMIS measures to detect differences in population-based patient outcomes across age, race-ethnicity, and cancer sub-groups defined by type, stage/severity, comorbidity, treatments, and disease phase (known-groups, construct validity). Evaluate the responsiveness of measures to detect clinically meaningful changes in selected health-related quality of life domains. To estimate cancer-specific population norms by patient age, severity, and other clinically important characteristics.

This dataset reports on a new effort to track candidate diversity in Canadian elections. The dataset covers 4,516 candidates who ran in the 2008, 2011, 2015, and 2019 federal elections, and includes novel data on their race, Indigenous background, and age, alongside information on gender, occupation, prior electoral experience, and electoral outcome. The data can be used to track diversity among electoral candidates over time or merged with other sources to answer district-level questions about representational diversity, electoral dynamics, vote choice, and political communications.

PROBLEM AND OPPORTUNITY In the United States, voting is largely a private matter. A registered voter is given a randomized ballot form or machine to prevent linkage between their voting choices and their identity. This disconnect supports confidence in the election process, but it provides obstacles to an election's analysis. A common solution is to field exit polls, interviewing voters immediately after leaving their polling location. This method is rife with bias, however, and functionally limited in direct demographics data collected. For the 2020 general election, though, most states published their election results for each voting location. These publications were additionally supported by the geographical areas assigned to each location, the voting precincts. As a result, geographic processing can now be applied to project precinct election results onto Census block groups. While precinct have few demographic traits directly, their geographies have characteristics that make them projectable onto U.S. Census geographies. Both state voting precincts and U.S. Census block groups: are exclusive, and do not overlap are adjacent, fully covering their corresponding state and potentially county have roughly the same size in area, population and voter presence Analytically, a projection of local demographics does not allow conclusions about voters themselves. However, the dataset does allow statements related to the geographies that yield voting behavior. One could say, for example, that an area dominated by a particular voting pattern would have mean traits of age, race, income or household structure. The dataset that results from this programming provides voting results allocated by Census block groups. The block group identifier can be joined to Census Decennial and American Community Survey demographic estimates. DATA SOURCES The state election results and geographies have been compiled by Voting and Election Science team on Harvard's dataverse. State voting precincts lie within state and county boundaries. The Census Bureau, on the other hand, publishes its estimates across a variety of geographic definitions including a hierarchy of states, counties, census tracts and block groups. Their definitions can be found here. The geometric shapefiles for each block group are available here. The lowest level of this geography changes often and can obsolesce before the next census survey (Decennial or American Community Survey programs). The second to lowest census level, block groups, have the benefit of both granularity and stability however. The 2020 Decennial survey details US demographics into 217,740 block groups with between a few hundred and a few thousand people. Dataset Structure The dataset's columns include: Column Definition BLOCKGROUP_GEOID 12 digit primary key. Census GEOID of the block group row. This code concatenates: 2 digit state 3 digit county within state 6 digit Census Tract identifier 1 digit Census Block Group identifier within tract STATE State abbreviation, redundent with 2 digit state FIPS code above REP Votes for Republican party candidate for president DEM Votes for Democratic party candidate for president LIB Votes for Libertarian party candidate for president OTH Votes for presidential candidates other than Republican, Democratic or Libertarian AREA square kilometers of area associated with this block group GAP total area of the block group, net of area attributed to voting precincts PRECINCTS Number of voting precincts that intersect this block group ASSUMPTIONS, NOTES AND CONCERNS: Votes are attributed based upon the proportion of the precinct's area that intersects the corresponding block group. Alternative methods are left to the analyst's initiative. 50 states and the District of Columbia are in scope as those U.S. possessions voting in the general election for the U.S. Presidency. Three states did not report their results at the precinct level: South Dakota, Kentucky and West Virginia. A dummy block group is added for each of these states to maintain national totals. These states represent 2.1% of all votes cast. Counties are commonly coded using FIPS codes. However, each election result file may have the county field named differently. Also, three states do not share county definitions - Delaware, Massachusetts, Alaska and the District of Columbia. Block groups may be used to capture geographies that do not have population like bodies of water. As a result, block groups without intersection voting precincts are not uncommon. In the U.S., elections are administered at a state level with the Federal Elections Commission compiling state totals against the Electoral College weights. The states have liberty, though, to define and change their own voting precincts https://en.wikipedia.org/wiki/Electoral_precinct. The Census Bureau practices "data suppression", filtering some block groups from demographic publication because they do not meet a population threshold. This practice...

A prominent paradigm demonstrates many White Americans respond negatively to information on their declining population share. But this paradigm considers this “racial shift” in a single hierarchy-challenging context that produces similar status threat responses across conceptually distinct outcomes, undercutting the ability to both explain the causes of Whites’ social and political responses and advance theorizing about native majorities’ responses to demographic change. We test whether evidence for Whites’ responses to demographic change varies across three distinct hierarchy-challenging contexts: society at large, culture, and politics. We find little evidence any racial shift information instills status threat or otherwise changes attitudes or behavioral intentions, and do not replicate evidence for reactions diverging by left- vs. right-wing political attachments. We conclude with what our well-powered (n=2100) results suggest about a paradigm and intervention used prominently, with results cited frequently, to understand native majorities’ responses to demographic change and potential challenges to multi-racial democracy.

Disadvantage indicators by race/ ethnicity.

About this dataset

Context

The dataset tabulates the Harvard town Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of Harvard town, by their ancestries, as identified by the Census Bureau. The dataset can be utilized to understand the origin of the Hispanic or Latino population of Harvard town.

Key observations

Among the Hispanic population in Harvard town, regardless of the race, the largest group is of Mexican origin, with a population of 306 (47.96% of the total Hispanic population).

Content

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

Origin for Hispanic or Latino population include:

• Mexican
• Puerto Rican
• Cuban
• Other Hispanic or Latino

Variables / Data Columns

• Origin: This column displays the origin for Hispanic or Latino population for the Harvard town
• Population: The population of the specific origin for Hispanic or Latino population in the Harvard town is shown in this column.
• % of Total Hispanic Population: This column displays the percentage distribution of each Hispanic origin as a proportion of Harvard town total Hispanic or Latino 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

Foreign nationals have had a significantly positive influence on the regional socioeconomic developments of Hungary. Two realignments took place between the last two censuses: at first, the composition of citizenship changed; then, the local redistribution changed partly because of the different structure of citizenship. Fields of interests and research: Regional science, regional geography, regional and urban development, regional analysing methods, social- and economic geography network-analysis, applied mathematics and the application of physical science models in geography.

About this dataset

Context

The dataset tabulates the Harvard town population by race and ethnicity. The dataset can be utilized to understand the racial distribution of Harvard town.

Content

The dataset will have the following datasets when applicable

Please note that in case when either of Hispanic or Non-Hispanic population doesnt exist, the respective dataset will not be available (as there will not be a population subset applicable for the same)

• Harvard, Massachusetts Population Breakdown by Race
• Harvard, Massachusetts Non-Hispanic Population Breakdown by Race
• Harvard, Massachusetts Hispanic or Latino Population Distribution by Their Ancestries

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/.

About this dataset

Context

The dataset tabulates the Harvard population by race and ethnicity. The dataset can be utilized to understand the racial distribution of Harvard.

Content

The dataset will have the following datasets when applicable

Please note that in case when either of Hispanic or Non-Hispanic population doesnt exist, the respective dataset will not be available (as there will not be a population subset applicable for the same)

• Harvard, IL Population Breakdown by Race
• Harvard, IL Non-Hispanic Population Breakdown by Race
• Harvard, IL Hispanic or Latino Population Distribution by Their Ancestries

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/.

In Western democracies, like the USA, UK, and Germany, the number of ethnic minority representatives has been steadily increasing. How is this trend shaping electoral behavior? Past work has focused on the effects of minority representation on ethnic minorities’ political engagement, with less attention to the electoral behavior of majority-group members. We argue that increased minorities’ representation can be experienced as a threat to a historically white-dominant political context. This, in turn, politically activates white constituents. Using data from four UK general elections and a regression discontinuity design, we find that the next election’s turnout in constituencies narrowly won by an ethnic minority candidate is 4.3 percentage points larger than in constituencies narrowly won by a white candidate. Consistent with our argument, this turnout difference is driven by majority-white constituencies. Our findings have implications for intergroup relations and party politics and help explain recent political dynamics.