This statistic shows the number of undergraduate students at Columbia University in fall 2020, by ethnicity. In that year, ***** undergraduate students at Columbia University identified as Hispanic or Latino.

Summary File 2 contains 100-percent United States decennial Census data, which is the information compiled from the questions asked of all people and about every housing unit. Population items include sex, age, race, Hispanic or Latino origin, household relationship, and group quarters occupancy. Housing items include occupancy status, vacancy status, and tenure (owner occupied or renter occupied). The 100-percent data are presented in 36 population tables ("PCT") and 11 housing tables ("HCT") down to the census tract level. Each table is iterated for 250 population groups: the total population, 132 race groups, 78 American Indian and Alaska Native tribe categories (reflecting 39 individual tribes), and 39 Hispanic or Latino groups. The presentation of tables for any of the 250 population groups is subject to a population threshold of 100 or more people. That is, if there were fewer than 100 people in a specific population group in a specific geographic area, their population and housing characteristics data are not available for that geographic area.

Since 2008, Columbia University has become more selective in their admissions process. In 2023, Columbia University accepted *** percent of applicants, down from ** percent in 2008. In 2023, ****** students applied to Columbia.

New York University had around 27,247 international students studying there in the academic year 2023/24, making it the most popular university for international students in the United States. NYU was followed by Northeastern University with 21,023 international students and Columbia University, which hosted 20,321 international students.

This statistic illustrates the number of applicants to Columbia University from 2008 to 2020. In 2020, ****** students applied to Columbia University, an increase from ****** applicants in 2008.

Lifetime childhood asthma prevalence (LCAP) percentages in Puerto Rico Health Regions (HR) are substantially higher in northeastern vs. southwestern HR. Higher average relative humidity in the northeast might promote mold and mite exposures and possibly asthma prevalence. To test this hypothesis, mold contamination, Environmental Relative Moldiness Index (ERMI) values were measured in floor dust (n = 26) and dust mite allergen concentrations in bed dust (n = 14). For this analysis, the eight HR were divided into those with LCAP > 30% (n = 3) and < 30% (n = 5). The average ERMI value was significantly greater (Wilcoxon Rank Sum, p < 0.001) in high than in low LCAP HR (14.5 vs. 9.3). The dust mite antigens Der p 1, Der f 1, and Blo t 5 were detected in 90% of bed samples, but the concentrations were not significantly different in high vs. low LCAP HR. Mold exposures might partially explain the differences in LCAP HR in Puerto Rico. This dataset is not publicly accessible because: This was a study conducted by Columbia University researchers. It can be accessed through the following means: Contact: Matthew S. Perzanowski, Ph.D. Associate Professor Department of Environmental Health Sciences Mailman School of Public Health Columbia University (212) 305-3465. Format: This study was conducted by Columbia University. There is no dataset format. This dataset is associated with the following publication: Vesper , S., H. Choi, M. Perzanowski, L. Acosta, A. Divjan, B. Bolanos-Rosero, F. Rivera-Mariani, and G. Chew. Mold populations and dust mite allergen concentrations in house dust samples from across Puerto Rico. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH. Carfax Publishing Limited, Basingstoke, UK, 26(2): 198-207, (2016).

In Columbia University's Class of 2028 (students beginning in the fall of 2024), ** percent of students were international students. This is compared to Harvard University, where ** percent of incoming students were international students.

Columbia University Mailman School of Public Health Activity File

Comprehensive demographic dataset for University Hill, Columbia, SC, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

This dataset is about books. It has 1 row and is filtered where the book publisher is Columbia University School Publishing. It features 2 columns including publication date.

Historical Dataset of University Of Missouri - Columbia School District is provided by PublicSchoolReview and contain statistics on metrics:Comparison of Students By Grade Trends

The International STEM Graduate Student Survey assesses why international students are coming to the United States for their graduate studies, the challenges they have faced while studying in the US, their future career plans, and whether they wish to stay or leave the US upon graduation. According to the Survey of Earned Doctorates by the National Science Foundation and the National Center for Science and Engineering Statistics, international students accounted for over 40% of all US doctoral graduates in STEM in 2013. The factors that influence international students' decisions to study in the US and whether they will stay or leave are important to US economic competitiveness. We contacted graduate students (both domestic and international) in STEM disciplines from the top 10 universities ranked by the total number of enrolled international students. We estimate that we contacted approximately 15,990 students. Individuals were asked to taken an online survey regarding their background, reasons for studying in the US, and whether they plan to stay or leave the US upon graduation. We received a total of 2,322 completed surveys, giving us a response rate of 14.5%. 1,535 of the completed were from domestic students and 787 of which were from international students. Raw survey data are presented here.Survey participants were contacted via Qualtrics to participate in this survey. The Universe of this survey data set pertains to all graduate students (Master's and PhD) in STEM disciplines from the following universities: Columbia University, University of Illinois-Urbana Champaign, Michigan State University, Northeastern University, Purdue University, University of Southern California, Arizona State University, University of California at Los Angeles, New York University, University of Washington at Seattle. Data are broken into 2 subsets: one for international STEM graduate students and one for domestic STEM graduate students, please see respective files.

CIESIN Columbia University is a leading research center within the Columbia Climate School at Columbia University. Founded in 1989, CIESIN conducts cutting-edge geospatially enabled research and develops interdisciplinary data and systems to advance understanding of human-environment interactions and support public policy and private decision making.

The center's research focuses on exploring the complex relationships between humans and the natural environment, with a particular emphasis on climate change, disaster resilience, and sustainable development. CIESIN scientists contribute to innovative thinking on managed retreat from the coastal zone, studying the development and characteristics of informal settlements, and developing datasets such as the Basic Demographic Characteristics data set: Number of dependents relative to the economically productive people.

This dataset is about books. It has 1 row and is filtered where the book publisher is Graduate School of Architecture, Planning, and Preservation, Columbia University. It features 7 columns including author, publication date, language, and book publisher.

The Gridded Population of the World, Version 3 (GPWv3): Population Count Grid, Future Estimates consists of estimates of human population for the years 2005, 2010, and 2015 by 2.5 arc-minute grid cells and associated data sets dated circa 2000. A proportional allocation gridding algorithm, utilizing more than 300,000 national and sub-national administrative Units, is used to assign population values to grid cells. The population counts that the grids are derived from are extrapolated based on a combination of subnational growth rates from census dates and national growth rates from United Nations statistics. All of the grids have been adjusted to match United Nations national level population estimates. The population count grids contain estimates of the number of persons per grid cell. The grids are available in various GIS-compatible data formats and geographic extents (global, continent [Antarctica not included], and country levels). GPWv3 is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with Centro Internacional de Agricultura Tropical (CIAT).

The Gridded Population of the World, Version 3 (GPWv3): Coastlines are derived from the land area grid to show the outlines of pixels (cells) that contain administrative units in GPWv3. The coastlines are designed for cartographic use with the GPWv3 population raster data sets. GPWv3 is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with Centro Internacional de Agricultura Tropical (CIAT). To provide a set of coastlines consistent with GPWv3 raster data for cartographic purposes.

The Population Database of Mexico contains geographically referenced population data for Mexican states, municipalities and localities from the 1990 Mexican population and housing census. The data include population by gender and age group for approximately 83.7% of the Mexican population. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).

The Gridded Population of the World, Version 3 (GPWv3): Population Density Grid consists of estimates of human population for the years 1990, 1995, and 2000 by 2.5 arc-minute grid cells and associated data sets dated circa 2000. A proportional allocation gridding algorithm, utilizing more than 300,000 national and sub-national administrative Units, is used to assign population values to grid cells. The population density grids are derived by dividing the population count grids by the land area grid and represent persons per square kilometer. The grids are available in various GIS-compatible data formats and geographic extents (global, continent [Antarctica not included], and country levels). GPWv3 is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with Centro Internacional de Agricultura Tropical (CIAT).

This dataverse contains the data and supporting documents for the CCES 2018 Columbia University team module. This project was supported by the National Science Foundation, Grant Number SES-1756447.

The Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3 data set contains land areas with urban, quasi-urban, rural, and total populations (counts) within the LECZ for 234 countries and other recognized territories for the years 1990, 2000, and 2015. This data set updates initial estimates for the LECZ population by drawing on a newer collection of input data, and provides a range of estimates for at-risk population and land area. Constructing accurate estimates requires high-quality and methodologically consistent input data, and the LECZv3 evaluates multiple data sources for population totals, digital elevation model, and spatially-delimited urban classifications. Users can find the paper "Estimating Population and Urban Areas at Risk of Coastal Hazards, 1990-2015: How data choices matter" (MacManus, et al. 2021) in order to evaluate selected inputs for modeling Low Elevation Coastal Zones. According to the paper, the following are considered core data sets for the purposes of LECZv3 estimates: Multi-Error-Removed Improved-Terrain Digital Elevation Model (MERIT-DEM), Global Human Settlement (GHSL) Population Grid R2019 and Degree of Urbanization Settlement Model Grid R2019a v2, and the Gridded Population of the World, Version 4 (GPWv4), Revision 11. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) and the City University of New York (CUNY) Institute for Demographic Research (CIDR).