The York Urban Line Segment Database is a compilation of 102 images (45 indoor, 57 outdoor) of urban environments consisting mostly of scenes from the campus of York University and downtown Toronto, Canada. The images are 640 x 480 in size and have been taken with a calibrated Panasonic Lumix DMC-LC80 digital camera.

This dataset contains transaction and spend data collated by Beauclair between January 2022 and April 2025 for the retail areas of Bishopthorpe Road, Micklegate and Heworth in York. It includes retail sector data as defined by Beauclair. DATA PROVIDED: • Sales • Transactions • Monthly Unique Customers • Average Transaction value • Average Revenue per Customer This data is originally supplied/owned by Beauclair, and licensed for reproduction by City of York Council under the Open Government License. For more information on Beauclair data please visit their website

To provide the data required to recreate York Region Official Plan – 2022 Appendix 3 - "Urban Growth Centres"The data layers do not take the place of a legal survey or other primary source documentation and may not be used to determine, certify, or verify if a parcel is a qualifying or exempt property.

YUD+ is a dataset containing additional Vanishing Point Labels for the York Urban Database.

The York Region Community Profile, providing information on Homelessness, Housing and Social Assistance data.

Data collected by: David, Jessie, Mark, Martina, Patrick Method: In order to support our hypothesis that squirrel population is abundant in urban environment compared to natural environment, we set to collect data in habitats representing these two environments. Data for the natural environment was collected from Danby Woods and Boynton Woods on York University Keele Campus. Data for the urban environment was collected from random human populated grounds in York University Keele Campus. A transect of 100 paces was sampled 20 times each in urban and natural environment - 20 on campus, 10 in Danby and 10 in Boynton. The abundance of squirrels, humans, food, colour of the squirrels were noted. The woodlots was the control group as it was the natural environment of the squirrels. Transect Number: Stands for the number of transect sampled. Squirrel Abundance: Number of squirrels found within the visible area in a transect. Distance: Measured in meters. It is the distance away from the transect where a squirrel was spotted. Human Abundance: Measured on a scale of 0 - 2. It is an approximation of human population present in the area where the transect was sampled. 0 - no humans; 1 - less than 5 humans; 2 - more than 5 humans Food Density: Measured on a scale of 0 - 2. It is an approximation of abundance of food present, natural or human food in the area where the transect was sampled. 0 - no humans; 1 - less than 5 humans; 2 - more than 5 humans Colour: The coat colour of the squirrels were noted additionally. Observed colours were grey and black. Location: Transects were sampled randomly on campus and in the woodlots, Danby and Boynton. Legend: B - black (colour) G - grey (colour) C - campus (location) BW - Boynton woods (location) DW - Danby woods (location) Data collected on: October 14th (Day 1 - 16 degrees) and October 21st (Day 2 - ~10 degrees)

York University is a public university in Toronto, Ontario, Canada. It is currently comprised of two major campuses - Glendon and Keele. The Keele Campus was established in 1965 in North York near Jane, Finch, and Steeles Avenue West thoroughfares. This campus was previously a farm owned by the Stong family until 1951 and still includes a historic home and barn built around 1850. Keele is the largest post-secondary campus in Canada at 457.14 acres. The tree census data provided here were extracted from a census completed by one of the first grounds managers in the Physical Resources Unit and published as an ArcGis map (http://yorku.maps.arcgis.com/apps/webappviewer/index.html?id=88027977994641ad88b10ed0d85fb2f0). These data were researched by M. Belanger, extracted by J. Braun, and described with quality checks by C.J. Lortie and J. Braun. Physical Resources were contacted and provided permission to share publicly. The data are comprised of a total of 6951 observations dating from 1900 (when planting dates pre-dated campus management) to 2013. The majority of observations were done in 2012 and 2013. These censuses included common names, Latin binomials, latitude and longitude of each tree in degree decimals, and condition with morphometrics for each individual. Categorical location data included block on campus (associated with campus map), street, and building code (as referenced to campus key). Most importantly, each tree was provided a unique identifier linked to a metal tree tag affixed to its trunk. Several key measures for future ecological assessments included dbh, crown width, and height.

This dataset tracks annual distribution of students across grade levels in York City School District and average distribution per school district in Pennsylvania

To provide the data required to recreate York Region Official Plan – 2022 Map 1B - "Urban System Overlays"The data layers do not take the place of a legal survey or other primary source documentation and may not be used to determine, certify, or verify if a parcel is a qualifying or exempt property.

This dataset provides information about the number of properties, residents, and average property values for York Drive cross streets in New City, NY.

Graph and download economic data for Per Capita Personal Income in York County + Poquoson City, VA (PCPI51958) from 1969 to 2023 about Poquoson City, VA; York County, VA; VA; personal income; per capita; personal; income; and USA.

This dataset provides information about the number of properties, residents, and average property values for York Road cross streets in Saint James City, FL.

Graph and download economic data for Personal Income in York County + Poquoson City, VA (PI51958) from 1969 to 2023 about Poquoson City, VA; York County, VA; VA; personal income; personal; income; and USA.

Disturbances are human-mediated or natural events that can lead to a change in the ecosystem by affecting the physical environment, leading to a change in the biotic relationships (between organisms) and the abiotic arrangements, such as water and soil. There are different hypotheses to predict the disturbance such as the intermediate hypothesis (IDH) and the enemy release hypothesis (ERH). The IDH hypothesis suggests that intermediate levels of disturbance will result in species diversity, while the ERH predicts that the number of invasive tree species will be increased due to the reduced number of predators in the new area. The purpose of this project is to examine the effect of subway disturbances on symbiotic relationships, such as presence of gypsy moths and lichens on trees, and overall trees’ health at the York university campus. 854 trees were assessed at various distances from the subway line disturbances. There were more gypsy moth egg masses within the subway line than outside. In addition, there was a relatively high richness in lichens on trees located outside of the subway station compared to within. Disturbances affect pathogens as it can lead to outbreaks in tree parasites, such as gypsy moths, in an area. These gypsy moths can then become a natural disturbance, affecting the trees’ health, and leading to a change in the symbiotic relationships. Overall, it is difficult to predict the effects of disturbances as it is measured using different factors: the intensity, timing, extent, duration, and the frequency of disturbance.

About this dataset

Context

This list ranks the 10 city in the York County, SC by Asian population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2018-2022 American Community Survey 5-Year Estimates
• 2017-2021 American Community Survey 5-Year Estimates
• 2016-2020 American Community Survey 5-Year Estimates
• 2015-2019 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Asian Population: This column displays the rank of city in the York County, SC by their Asian population, using the most recent ACS data available.
• city: The city for which the rank is shown in the previous column.
• Asian Population: The Asian population of the city is shown in this column.
• % of Total city Population: This shows what percentage of the total city population identifies as Asian. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total York County Asian Population: This tells us how much of the entire York County, SC Asian population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

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/.

This dataset provides information about the number of properties, residents, and average property values for York Street cross streets in Scott City, KS.

This dataset tracks annual graduation rate from 2013 to 2023 for York City School District vs. Pennsylvania

Population Numbers By New York City Neighborhood Tabulation Areas

The data was collected from Census Bureaus' Decennial data dissemination (SF1). Neighborhood Tabulation Areas (NTAs), are aggregations of census tracts that are subsets of New York City's 55 Public Use Microdata Areas (PUMAs). Primarily due to these constraints, NTA boundaries and their associated names may not definitively represent neighborhoods. This report shows change in population from 2000 to 2010 for each NTA. Compiled by the Population Division – New York City Department of City Planning.

Urbanization is a major cause of ecological degradation around the world, and human settlement in large cities is accelerating. New York City (NYC) is one of the oldest and most urbanized cities in North America, but still maintains 20% vegetation cover and substantial populations of some native wildlife. The white-footed mouse, Peromyscusleucopus, is a common resident of NYC’s forest fragments and an emerging model system for examining the evolutionary consequences of urbanization. In this study, we developed transcriptomic resources for urban P. leucopus to examine evolutionary changes in protein-coding regions for an exemplar “urban adapter.” We used Roche 454 GS FLX+ high throughput sequencing to derive transcriptomes from multiple tissues from individuals across both urban and rural populations. From these data, we identified 31,015 SNPs and several candidate genes potentially experiencing positive selection in urban populations of P. leucopus. These candidate genes are involved in xenobiotic metabolism, innate immune response, demethylation activity, and other important biological phenomena in novel urban environments. This study is one of the first to report candidate genes exhibiting signatures of directional selection in divergent urban ecosystems.

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Harvard Forest (HFR) contains percent urban population measurements in percent units and were aggregated to a yearly timescale.