Columbus Communities is a boundary layer that is be used by city departments for planning and reporting purposes. The boundaries represent areas generally recognized as a "community", which often comprise a number of neighborhoods. The layer is an update to and replaces the Community Planning Areas layer. It utilizes area commission boundaries when an area commission exists, but is not intended to replace or be used in the place of them.

This map layer shows neighborhood commercial revitalization areas in the City of Columbus. Neighborhood commercial revitalization is a program that offers technical assistance, loans and matching grants, capital improvements and planning services in conjunction with the established business association.

This map layer shows Neighborhood Pride areas in the City of Columbus. Neighborhood Pride is a team effort by City departments, neighborhood groups and individual residents, businesses and schools and other partners to make our neighborhoods safer and cleaner, keys to a more vibrant and exciting future for Columbus.

This map layer shows areas in the City of Columbus with adopted neighborhood plans. Neighborhood plans are developed in a collaborative process between community stakeholders and the City. The purpose of a plan is to create a framework to shape and direct the pattern of growth and development in a neighborhood.

Sociologist Roderick D. McKenzie taught at Ohio State in the early 1920s while completing his dissertation on the urban and neighborhood geography of Columbus. One of McKenzie's maps delineated themes common with the Chicago School of Sociology urban geography focus: race and ethnicity. McKenzie's data provides a snapshot of the racial and ethnic geography of Columbus in the early 1920s and is useful to compare to recent patterns of race and ethnicity (from US Census data) to assess urban social change. Source: Roderick D. McKenzie. The Neighborhood: A Study of Local Life in the City of Columbus, Ohio. Chicago: Chicago University Press, 1923.

This layer depicts properties that have passed a lead clearance evaluation in the Lead Safe Columbus Program. The units shown were deemed lead-safe based on a lead clearance evaluation in the month shown. “Lead-safe” means that there was no deteriorated lead-based paint, no lead-contaminated dust, and no exposed lead-contaminated soil identified at the time of the lead evaluation. This does not mean that the units listed are vacant or available at this time. Please contact the owner of the property for rental information. With local and grant funding through the U.S. Department of Housing and Urban Development, Office of Healthy Homes and Lead Hazard Control, the mission of the Lead Safe Columbus Program is to generate lead-safe and healthy affordable housing and to prevent lead poisoning of children and adults in Columbus neighborhoods. This program may provide funding to eligible property owners for lead-based paint hazard control and addressing healthy homes hazards in tenant or owner occupied units. More information can be obtained at https://www.columbus.gov/development/housing-division/Lead-Safe-Columbus_M/.

Sanborn Fire Insurance maps contain a wealth of building-level information about U.S. cities dating back to the late 19th century. They are a valuable resource for studying changes in urban environments, such as the legacy of urban highway construction and urban renewal in the 20th century. However, it is a challenge to automatically extract the building-level information effectively and efficiently from Sanborn maps because of the large number of map entities and the lack of appropriate computational methods to detect these entities. This paper contributes to a scalable workflow that utilizes machine learning to identify building footprints and associated properties on Sanborn maps. This information can be effectively applied to create 3D visualization of historic urban neighborhoods and inform urban changes. We demonstrate our methods using Sanborn maps for two neighborhoods in Columbus, Ohio, USA that were bisected by highway construction in the 1960s. Quantitative and visual analysis of the results suggest high accuracy of the extracted building-level information, with an F-1 score of 0.9 for building footprints and construction materials, and over 0.7 for building utilizations and numbers of stories. We also illustrate how to visualize pre-highway neighborhoods.

This map layer shows recommended land use for some areas in the City of Columbus. Land use recommendations are from adopted area and neighborhood plans. These recommendations are not code, but as part of an adopted plan, provide guidance on neighborhood and city review of any rezoning or variance requests.

Zip Codes & Neighborhood Boundaries

Zip Codes & Neighborhood Boundaries

Neighborhood Liaison Areas (Community Meetings)

According to the U.S. EPA heat islands are urbanized areas that experience higher temperatures than outlying areas. This impacts health, wildlife, and the economy. Extreme heat kills more Americans than any other weather event, and can lead to illnesses such as heat stroke and exhaustion, but not everyone’s risk is the same. A 2021 EPA report concluded that Black and African American individuals are 40-59% more likely than non-Black and non-African American individuals to currently live in high-impact heat mortality areas. The City of Columbus, along with partners, mapped the hottest parts of the city and surrounding areas in Franklin County.On August 12, 2022, 78 citizen scientist volunteers traversed 22 routes during three time slots. The sensors were collected and shipped to CAPA Strategies that downloaded the data. This project included 14 local and national partner groups (including NOAA and CAPA Strategies) and covered 243.25 square miles in the Columbus area. The results of this summer heat mapping campaign reveal temperatures in Columbus neighborhoods can vary by up to 13 degrees at the same time of day.