Overview of the DataThis is a polygon feature layer with the boundaries of the four quadrants of the city of Rochester. This geographic division is used for the service areas for the Neighborhood Service Centers (NSC's) as well as administration of other city programming and services.About the Neighborhood Service CentersThe Neighborhood Service Centers (NSCs) are based on the notion that the best way of responding to neighborhood issues is by teaming residents with City staff to devise and achieve effective solutions.This approach brings City government closer to its citizens and their neighborhoods so that quality of life issues can be addressed quickly and effectively.The City of Rochester has been divided into the four (4) geographic quadrants, each with its own Neighborhood Service Center. Each quadrant in the city also has its own Quadrant Team, an interdepartmental team of professionals dedicated to improving the quality of life in their assigned area. These cross-functional teams are intended to directly solve problems, establish community partnerships, and promote strength and growth in city neighborhoods. Teams meet regularly with community representatives to identify and prioritize issues.For more information please visit the City of Rochester's Neighborhood Service Centers (NSCs) website or the individual quadrant websites listed below:Northwest Quadrant Neighborhood Service Center (585)428-762071 Parkway - First FloorRochester, NY 14608Tammi.Herron, AdministratorNortheast Quadrant Neighborhood Service Center (585)428-7660500 Norton StRochester, NY 14621Carlos.Torres, AdministratorSouthwest Quadrant Neighborhood Service Center(585) 428-7630923 Genesee StRochester, NY 14611James H. Demps III, AdministratorSoutheast Quadrant Neighborhood Service Center (585) 428-7640320 N Goodman Street - Suite 209Rochester, NY 14607Nancy Johns-Price, Administrator

This map shows the bike paths of all Pace rides in 2018 in the form of XY coordinate points. The NSC (Neighborhood Service Center) Quadrant feature layer lays underneath the point layer as to give a visual division of activity in each of the four quadrants of Rochester.Note: depending on the basemap you choose, you may have to zoom out and locate to Rochester.

This feature layer symbolizes the relative population counts for the City's 12 Data Divisions, aggregating the tract-level estimates from the the Census Bureau's American Community Survey 2021 five-year samples.If you click on each Data Division, you can view other Census demographic information about that Data Division in addition to the population count.About the Census Data:The data comes from the U.S. Census Bureau's American Community Survey's 2017-2021 five-year samples. The American Community Survey (ACS) is an ongoing survey conducted by the federal government that provides vital information annually about America and its population. Information from the survey generates data that help determine how more than $675 billion in federal and state funds are distributed each year.For more information about the Census Bureau's ACS data and process of constructing the survey, visit the ACS's About page.About the City's Data Divisions:As a planning analytic tool, an interdepartmental working group divided Rochester into 12 “data divisions.” These divisions are well-defined and static so they are positioned to be used by the City of Rochester for statistical and planning purposes. Census data is tied to these divisions and serves as the basis for analyses over time. As such, the data divisions are designed to follow census boundaries, while also recognizing natural and human-made boundaries, such as the River, rail lines, and highways. Historical neighborhood boundaries, while informative in the division process, did not drive the boundaries. Data divisions are distinct from the numerous neighborhoods in Rochester. Neighborhood boundaries, like quadrant boundaries, police precincts, and legislative districts often change, which makes statistical analysis challenging when looking at data over time. The data division boundaries, however, are intended to remain unchanged. It is hoped that over time, all City data analysts will adopt the data divisions for the purpose of measuring change over time throughout the city.

This map shows the bike paths of all Pace rides in 2019 in the form of XY coordinate points. The NSC (Neighborhood Service Center) Quadrant feature layer lays underneath the point layer as to give a visual division of activity in each of the four quadrants of Rochester.

This map symbolizes the relative population counts for the City's 12 Data Divisions, aggregating the tract-level estimates from the the Census Bureau's American Community Survey 2021 five-year samples. Please refer to the map's legend for context to the color shading -- darker hues indicate more population.If you click on each Data Division, you can view other Census demographic information about that Data Division in addition to the population count.About the Census Data:The data comes from the U.S. Census Bureau's American Community Survey's 2017-2021 five-year samples. The American Community Survey (ACS) is an ongoing survey conducted by the federal government that provides vital information annually about America and its population. Information from the survey generates data that help determine how more than $675 billion in federal and state funds are distributed each year.For more information about the Census Bureau's ACS data and process of constructing the survey, visit the ACS's About page.About the City's Data Divisions:As a planning analytic tool, an interdepartmental working group divided Rochester into 12 “data divisions.” These divisions are well-defined and static so they are positioned to be used by the City of Rochester for statistical and planning purposes. Census data is tied to these divisions and serves as the basis for analyses over time. As such, the data divisions are designed to follow census boundaries, while also recognizing natural and human-made boundaries, such as the River, rail lines, and highways. Historical neighborhood boundaries, while informative in the division process, did not drive the boundaries. Data divisions are distinct from the numerous neighborhoods in Rochester. Neighborhood boundaries, like quadrant boundaries, police precincts, and legislative districts often change, which makes statistical analysis challenging when looking at data over time. The data division boundaries, however, are intended to remain unchanged. It is hoped that over time, all City data analysts will adopt the data divisions for the purpose of measuring change over time throughout the city.

This feature layer is the result of a data pull from many demographic tables from the Census Bureau's American Community Survey 2018 five-year samples, pulled at the tract level and aggregated into the City of Rochester's Data Division geographies.About the Census Data:The data comes from the U.S. Census Bureau's American Community Survey's 2014-2018 five-year samples. The American Community Survey (ACS) is an ongoing survey conducted by the federal government that provides vital information annually about America and its population. Information from the survey generates data that help determine how more than $675 billion in federal and state funds are distributed each year.For more information about the Census Bureau's ACS data and process of constructing the survey, visit the ACS's About page.About the City's Data Divisions:As a planning analytic tool, an interdepartmental working group divided Rochester into 12 “data divisions.” These divisions are well-defined and static so they are positioned to be used by the City of Rochester for statistical and planning purposes. Census data is tied to these divisions and serves as the basis for analyses over time. As such, the data divisions are designed to follow census boundaries, while also recognizing natural and human-made boundaries, such as the River, rail lines, and highways. Historical neighborhood boundaries, while informative in the division process, did not drive the boundaries. Data divisions are distinct from the numerous neighborhoods in Rochester. Neighborhood boundaries, like quadrant boundaries, police precincts, and legislative districts often change, which makes statistical analysis challenging when looking at data over time. The data division boundaries, however, are intended to remain unchanged. It is hoped that over time, all City data analysts will adopt the data divisions for the purpose of measuring change over time throughout the city.

This map symbolizes the relative population counts for the City's 12 Data Divisions, aggregating the tract-level estimates from the the Census Bureau's American Community Survey 2018 five-year samples. Please refer to the map's legend for context to the color shading -- darker hues indicate more population.If you click on each Data Division, you can view other Census demographic information about that Data Division in addition to the population count.About the Census Data:The data comes from the U.S. Census Bureau's American Community Survey's 2014-2018 five-year samples. The American Community Survey (ACS) is an ongoing survey conducted by the federal government that provides vital information annually about America and its population. Information from the survey generates data that help determine how more than $675 billion in federal and state funds are distributed each year.For more information about the Census Bureau's ACS data and process of constructing the survey, visit the ACS's About page.About the City's Data Divisions:As a planning analytic tool, an interdepartmental working group divided Rochester into 12 “data divisions.” These divisions are well-defined and static so they are positioned to be used by the City of Rochester for statistical and planning purposes. Census data is tied to these divisions and serves as the basis for analyses over time. As such, the data divisions are designed to follow census boundaries, while also recognizing natural and human-made boundaries, such as the River, rail lines, and highways. Historical neighborhood boundaries, while informative in the division process, did not drive the boundaries. Data divisions are distinct from the numerous neighborhoods in Rochester. Neighborhood boundaries, like quadrant boundaries, police precincts, and legislative districts often change, which makes statistical analysis challenging when looking at data over time. The data division boundaries, however, are intended to remain unchanged. It is hoped that over time, all City data analysts will adopt the data divisions for the purpose of measuring change over time throughout the city.

This map symbolizes the relative counts of the youth population (total individuals age 0 - 17) for the City's 12 Data Divisions, aggregating the tract-level estimates from the the Census Bureau's American Community Survey 2018 five-year samples. Please refer to the map's legend for context to the color shading -- darker hues indicate more youth population.If you click on each Data Division, you can view other Census demographic information about that Data Division in addition to the population count.About the Census Data:The data comes from the U.S. Census Bureau's American Community Survey's 2014-2018 five-year samples. The American Community Survey (ACS) is an ongoing survey conducted by the federal government that provides vital information annually about America and its population. Information from the survey generates data that help determine how more than $675 billion in federal and state funds are distributed each year.For more information about the Census Bureau's ACS data and process of constructing the survey, visit the ACS's About page.About the City's Data Divisions:As a planning analytic tool, an interdepartmental working group divided Rochester into 12 “data divisions.” These divisions are well-defined and static so they are positioned to be used by the City of Rochester for statistical and planning purposes. Census data is tied to these divisions and serves as the basis for analyses over time. As such, the data divisions are designed to follow census boundaries, while also recognizing natural and human-made boundaries, such as the River, rail lines, and highways. Historical neighborhood boundaries, while informative in the division process, did not drive the boundaries. Data divisions are distinct from the numerous neighborhoods in Rochester. Neighborhood boundaries, like quadrant boundaries, police precincts, and legislative districts often change, which makes statistical analysis challenging when looking at data over time. The data division boundaries, however, are intended to remain unchanged. It is hoped that over time, all City data analysts will adopt the data divisions for the purpose of measuring change over time throughout the city.

The Bull’s Head neighborhood marks the historic western gateway to downtown in the city’s southwest quadrant. This important community hub is centered at the convergence of the West Main Street, Genesee Street, Brown Street, West Avenue, and Chili Avenue corridors, connecting generations of residents to commerce, employment opportunities, and community and health services. These corridors are vital transportation routes connecting the southwest quadrant neighborhoods and the western suburbs of Rochester to downtown and to and through the URA. The URA is in close proximity to regional assets, such as, Rochester Regional Health – St. Mary’s Campus, and the National Historic Landmark Susan B. Anthony Museum and Visitor’s Center. Nearby neighborhood assets include the City’s Danforth Recreation Center, Rochester Housing Authority, and the Salvation Army Rochester Area Services.