In the fall of 2021, 2,285 undergraduate students at Cornell University identified as Hispanic. A further 3,350 undergraduates identified as Asian, and another 5,265 undergrads identified as White.

About this dataset

Context

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

Key observations

The percent distribution of Cornell population by race (across all racial categories recognized by the U.S. Census Bureau): 96.66% are white and 3.34% 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 Cornell
• Population: The population of the racial category (excluding ethnicity) in the Cornell is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Cornell 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 Cornell Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

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

Key observations

Of the Non-Hispanic population in Cornell, the largest racial group is White alone with a population of 390 (96.77% 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 Cornell
• Population: The population of the racial category (for Non-Hispanic) in the Cornell is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Cornell 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 Cornell Population by Race & Ethnicity. You can refer the same here

Data on labor force activity for the week prior to the survey are supplied in this collection. Information is available on the employment status, occupation, and industry of persons 14 years old and over. Demographic variables such as age, sex, race, marital status, veteran status, household relationship, educational background, and Spanish origin are included. In addition to providing these core data, the October survey also contains a special supplement on school enrollment. This supplement includes the following items: current grade attending at public or private school, whether attending college full- or part-time at a two- or four-year institution, year last attended a regular school, and year graduated from high school. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR09534.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

This dataset tracks annual two or more races student percentage from 2011 to 2023 for Cornell Elementary School vs. Iowa and Saydel Comm School District

This data collection is comprised of data from the 2009 Annual Social and Economic Supplement (ASEC), and is a part of the Current Population Survey (CPS) Series. The Census Bureau conducts the ASEC (known as the Annual Demographic File prior to 2003) over a three-month period, in February, March, and April, with most of the data collected in the month of March. The ASEC uses two sets of survey questions, the basic CPS and a set of supplemental questions. The CPS, administered monthly, is a labor force survey providing current estimates of the economic status and activities of the population of the United States. Specifically, the CPS provides estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment. In addition to the basic CPS questions, respondents were asked questions from the ASEC, which provides supplemental data on poverty, geographic mobility/migration, and work experience. Comprehensive work experience information was given on the employment status, occupation, and industry of persons aged 15 and over. Additional data for persons aged 15 and older were available concerning weeks worked and hours per week worked, reason not working full time, total income and supplemental income components. Additional data are included that cover training and assistance received under welfare reform programs such as job readiness training, child care services, or job skill training. Data covering nine noncash income sources: food stamps, school lunch program, employer-provided group health insurance plan, employer-provided pension plan, personal health insurance, Medicaid, Medicare, CHAMPUS or military health care, and energy assistance are also included. Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, occupation, and income. Data on employment and income refer to the previous calendar year, although demographic data refer to the time of the survey. The original ASEC data provided by the Census Bureau are distributed in a hierarchical file structure, with three record types present: Household, Family, and Person. The ASEC is designed to be a multistage stratified sample of housing units, where the hierarchical file structure can be thought of as a person within a family within a household unit. Here the main unit of analysis is the household unit. (Source: ICPSR, 06/23/2011)

This dataset tracks annual two or more races student percentage from 2019 to 2023 for Cornell School District vs. Wisconsin

This data collection includes revised estimates of the population of the 3,141 counties in the United States as defined in the 1990 Census. Data are grouped by five-year age category (ages 0-4, 5-9, etc.), sex, and modified race (White, Black, other) for each year from 1980 to 1989, beginning with July 1, 1980. The revised estimates were developed by interpolating from modified Decennial Census files for both 1980 and 1990. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR -- https://doi.org/10.3886/ICPSR06031.v2. We highly recommend using the ICPSR version as they made this dataset available in multiple data formats.

These data are estimates of the resident population of the counties in the United States, by age (ages 0 to 84, 85 and over), sex (male, female), race (White; Black; American Indian; Eskimo and Aleut; Asian and Pacific Islander) for July 1 of each year from 1990 to 1997.

This dataset tracks annual two or more races student percentage from 2013 to 2023 for Cornell High School vs. Pennsylvania and Cornell School District

This file primarily contains data on racial and ethnic identification as well as preferences for alternative names for racial and ethnic categories, ancestry, and national origin. Some data from the basic Current Population Survey (CPS) on personal characteristics such as age, sex, race, marital status, household relationship, educational background, race, and ethnic origin are also provided. Data on methodological aspects of the data collection such as the month-in-sample and whether the interview was conducted in person or over the phone are also included. The only labor force activity information provided is employment status of persons 15 years and over. Users desiring comprehensive labor force data should consult the basic CPS data file. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR02161.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

This dataset tracks annual two or more races student percentage from 2017 to 2023 for Cornell Middle School vs. Wisconsin and Cornell School District

About this dataset

Context

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

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)

• Cornell, IL Population Breakdown by Race
• Cornell, IL Non-Hispanic Population Breakdown by Race
• Cornell, 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/.

Under 5 years Poverty Rate Statistics for 2022. This is part of a larger dataset covering poverty in Cornell, Wisconsin by age, education, race, gender, work experience and more.

Related children of householder under 18 years Poverty Rate Statistics for 2022. This is part of a larger dataset covering poverty in Cornell, Wisconsin by age, education, race, gender, work experience and more.

High school graduate (includes equivalency) Poverty Rate Statistics for 2022. This is part of a larger dataset covering poverty in Cornell, Wisconsin by age, education, race, gender, work experience and more.

This data collection supplies standard monthly labor force data as well as supplemental data on work experience, income, and migration. Comprehensive information is given on the employment status, occupation, and industry of persons 14 years old and older. Additional data are available concerning weeks worked and hours per week worked, reason not working full-time, total income and income components, and residence. Information on demographic characteristics, such as age, sex, race, educational attainment, marital status, veteran status, household relationship, and Hispanic origin, is available for each person in the household enumerated. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR07559.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

Public Law 94-171, enacted in 1975, directs the United States Census Bureau to make special preparations to provide redistricting data needed by the 50 states. It specifies that within one year following the Census Day (i.e., for Census 2000 by April 1, 2001), the Census Bureau must send the governor and legislature in each state the data they need to redraw districts for the United States Congress and state legislatures. This file contains a count of all persons and all households in New York State and its subareas, provided in hierarchical sequence down to the block level. They also provide a race count (five race categories) and a count of all persons of Hispanic origin. In addition, data are provided for all persons not of Hispanic origin and persons 18 years old and over not of Hispanic origin by race (five race categories).

This study was conducted under the auspices of the Center for Studies in Demography and Ecology at the University of Washington. It is a nationally representative sample of the population of the United States in 1900, drawn from the manuscript returns of individuals enumerated in the 1900 United States Census. Household variables include region, state and county of household, size of household, and type and ownership of dwelling. Individual variables for each household member include relationship to head of household, race, sex, age, marital status, number of children, and birthplace. Immigration variables include parents' birthplace, year of immigration and number of years in the United States. Occupation variables include occupation, coded by both the 1900 and 1950 systems, and number of months unemployed. Education variables include number of months in school, whether respondents could read or write a language, and whether they spoke English. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR07825.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

The Profiles of General Demographic Characteristics data are released as individual files for each of the 50 states, the District of Columbia, and Puerto Rico, as well as for all 50 states combined (Part 61) and for the entire United States (Part 60). The files contain the 100-percent data, which is the information compiled from questions asked of all people and about every housing unit. The population items include sex, age, race, Hispanic or Latino, household relationship, household type, group quarters population, housing occupancy, and housing tenure. The profiles include a total of 71 population and 25 housing data items. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR03192.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.