A polygon feature class of municipal boundaries within Miami-Dade County, data includes the municipal codes and names.Updated: As Needed The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

The City Boundary layer, originally created by the Office of City Clerk, bounds the City of Miami to its current limits. The layer is edited and maintained by GIS Team of the City. This layer is a representation of the official City of Miami Boundary Legal Description based on the legal survey of the city, but it is not to be construed as an official survey of the city boundary. It may be used for general reference purposes but not in place of an official survey or other legal instrument.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The Topological Faces Shapefile contains the attributes of each topological primitive face. Each face has a unique topological face identifier (TFID) value. Each face in the shapefile includes the key geographic area codes for all geographic areas for which the Census Bureau tabulates data for both the 2020 Census and the annual estimates and surveys. The geometries of each of these geographic areas can then be built by dissolving the face geometries on the appropriate key geographic area codes in the Topological Faces Shapefile.

A polygon feature class of the City of North Miami Council District boundaries. The purpose of the district layer is to divide voters by City of North Miami Council Districts. It is used in general analysis, as well as for mapping purposes.Updated: Every 10 yrs The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

The City Land Mass dataset represents all land surfaces, area covered by the City limit minus water bodies, that lay within the jurisdiction of the City of Miami. It consists of the main land and 30 islands. The data is maintained and managed by the GIS Team of the City.

Polygon layer depicting all municipal parks in the City of North Miami Beach. This includes all locations shared through the Parks and Recreation website with the corresponding address.Parks & Recreation | North Miami Beach, FL (citynmb.com)17051 NE 19th AvenueNorth Miami Beach, FL 33162Phone: 305-948-2957Fax: 305-787-6040

Future Land Use dataset represents a large number of polygon features that are catagrized into 13 land use types that are shaped according to various economic and other uses (examples are: Single-Family, Medium-density; Two-Family; Airposrts; Office Buildings; Parking Lots, etc.) within the limit of the City of Miami. The data was created by Planning and Zoning Department while it is maintained and managed by the GIS Team of the City.

This dataset represents the current Franchise Solid Waste Hauler Companies, contracted to provide service within City of Miami jurisdiction. These are the only haulers that can be hired to collect commercial waste. The companies do not necessarily reside within the City of Miami limits, but are contracted and can legally operate within city limits. Dataset is updated as needed and on-schedule every six (6) months.

This polygon dataset represents the areas of Parks and Recreation Facilities managed by individual municipalities within Miami-Dade County; however, this layer is not maintained by the City of Miami Parks Department. For a city-maintained list, please reach the Parks Department at 305-416-1300 or visit https://www.miami.gov/Parks-Public-Places/Parks-Directory. This dataset was obtained from the Miami-Dade County Open Data Hub and clipped to contain only those features within the City of Miami. For a countywide layer, please refer to Miami-Dade County Open Data Hub at https://gis-mdc.opendata.arcgis.com/.This Community Engagement Asset dataset overview highlights neighborhoods with strong local infrastructure, including public libraries, nonprofit and grassroots organizations that provide services, advocacy, and support. These areas foster collaboration, promote lifelong learning, and offer access to technology, internet, and educational programs. Public libraries and community hubs serve as key venues for events, public meetings, and recreational activities. Using geospatial data, the analysis also identifies neighborhoods lacking proximity to cultural, recreational, or community spaces, supporting equitable planning and development by prioritizing underserved populations and enhancing collaboration with local partners.Data Refresh Frequency: This dataset is refreshed on a weekly basis, regardless of whether any updates have occurred in the source data. Users should note that the data is reprocessed and reloaded each week to ensure availability and consistency, even in the absence of changes.

The digital geographic dataset contains addresses (properties) within the City of Miami limits that require a 40 building recertification as outlined in the Miami-Dade County Building Code at Building Code Miami-Dade County. The dataset contains all properties since 2015 that have initiated, not initiate or are exempted (as defined by the Code) from the 40-year recertification process. For more information on Building Recertification, please refer to the City of Miami's process page at City of Miami 40/50 Recertification Process. This dataset is updated daily.

This point feature class represents the approximate location of DCF (Department of Children and Families) facilities within the City of Miami boundary. The data has been obtained from Miami-Dade County Open Data Hub and clipped to contain only facilities that fall within the city limits. For a countywide layer, please refer to Miami-Dade County Open Data Hub at https://gis-mdc.opendata.arcgis.com/.The Childcare dataset supports families and communities by providing essential data on childcare facilities, including their locations. This information enhances service planning, ensures safety compliance, and strengthens emergency preparedness and response efforts. By making this data accessible, the resource helps families identify safe and secure childcare options while aiding policymakers and planners in improving childcare infrastructure and community resilience.Data Refresh Frequency: This dataset is refreshed on a weekly basis, regardless of whether any updates have occurred in the source data. Users should note that the data is reprocessed and reloaded each week to ensure availability and consistency, even in the absence of changes.

This point geographic dataset contains general information about the properties located within the City of Miami. This feature layer detailed information about zoning, flood zones, code enforcement, city commissioners and other relevant information for each of the properties found within the City of Miami limits.

This polygon feature class represents the areas covered by water bodies within the City of Miami. The original (unclipped) source dataset covers the Urban Development Boundary (UBD) as well as areas outside the UBD, which cover approximately 938 square miles. This dataset was obtained from the Miami-Dade County Open Data Hub and clipped to contain only those features within the City of Miami. For a countywide layer, please refer to Miami-Dade County Open Data Hub at https://gis-mdc.opendata.arcgis.com/. For a complete metadata citation detailing the production of this layer, please visit the dataset's description page at https://gis-mdc.opendata.arcgis.com/datasets/MDC::water-p/about. The Coast and Marina dataset supports informed decision-making for shoreline cleanups and environmental planning by providing detailed geographic and environmental information. It includes data on coastal boundaries, shoreline types, beaches, cliffs, and critical port and harbor infrastructure such as docks, piers, marinas, and navigation channels. This dataset also highlights coastal attractions and recreational areas, offering valuable insights for community engagement, tourism, and maritime activities. By visualizing these features, it enhances public access to coastal resources and supports sustainable coastal development and conservation efforts.Data Refresh Frequency: This dataset is refreshed on a weekly basis, regardless of whether any updates have occurred in the source data. Users should note that the data is reprocessed and reloaded each week to ensure availability and consistency, even in the absence of changes.

This point feature class represents the locations of Community Based Organizations located within the City of Miami. The data has been obtained from Miami-Dade County Open Data Hub and clipped to contain only assets that fall within the city limits. For a countywide layer, please refer to Miami-Dade County Open Data Hub at https://gis-mdc.opendata.arcgis.com/.This Community Engagement Asset dataset overview highlights neighborhoods with strong local infrastructure, including public libraries, nonprofit and grassroots organizations that provide services, advocacy, and support. These areas foster collaboration, promote lifelong learning, and offer access to technology, internet, and educational programs. Public libraries and community hubs serve as key venues for events, public meetings, and recreational activities. Using geospatial data, the analysis also identifies neighborhoods lacking proximity to cultural, recreational, or community spaces, supporting equitable planning and development by prioritizing underserved populations and enhancing collaboration with local partners.Data Refresh Frequency: This dataset is refreshed on a weekly basis, regardless of whether any updates have occurred in the source data. Users should note that the data is reprocessed and reloaded each week to ensure availability and consistency, even in the absence of changes.

This line feature class represents the Miami-Dade County Bus Routes within the City of Miami. The data has been obtained from Miami-Dade County Open Data Hub and clipped to contain only the routes that fall within the city limits. For a countywide layer, please refer to the Miami-Dade County Open Data Hub at https://gis-mdc.opendata.arcgis.com/.The Transportation dataset enhances transportation equity and access by mapping transit routes, hubs, and service reliability across Miami. It supports inclusive mobility for children, older adults, and people with disabilities, while offering low-cost or free travel options and on-demand services prioritizing senior centers, government buildings, and medical facilities. Data Refresh Frequency: This dataset is refreshed on a weekly basis, regardless of whether any updates have occurred in the source data. Users should note that the data is reprocessed and reloaded each week to ensure availability and consistency, even in the absence of changes.

This point feature class represents the locations of Detention Facilities within the City of Miami boundary. The data has been obtained from Miami-Dade County Open Data Hub and clipped to contain only facilities that fall within the city limits. For a countywide layer, please refer to Miami-Dade County Open Data Hub at https://gis-mdc.opendata.arcgis.com/.The Emergency Services Communities and Management dataset provides critical information on the physical locations, infrastructure, and operational systems that support a community’s ability to prepare for, respond to, and recover from emergencies. This dataset enhances public safety and security, enables efficient evacuations, and strengthens community resilience. It also supports interagency coordination, helping protect lives and property while improving overall preparedness and emergency response capabilities.Data Refresh Frequency: This dataset is refreshed on a weekly basis, regardless of whether any updates have occurred in the source data. Users should note that the data is reprocessed and reloaded each week to ensure availability and consistency, even in the absence of changes.

The Miramar Boundary dataset was created based on the legal description defined on the City Ordinance No. 09-03. The city of Miramar is located in Broward County, Florida, about 14 miles southwest of Fort Lauderdale and 20 miles north of Miami. Nearby municipalities include Hollywood, Sunrise, Plantation and Pembroke Pines.

The Code Enforcement Sectors dataset is a spatial data representation of Code Enforcement Sectors that divide Code Enforcement Zones into three, North, Central and South within the limit of the City of Miami. The data was created by Code Enforcement Department (used to operate as part of Neighborhood Enhancement Team or NET before December 2003), City of Miami. It is maintained and managed by the GIS Team of the City.

A point feature class of the 2010 Census Block Pop boundary centroids within Miami-Dade County. Census Blocks are statistical areas bounded on all sides by visible features, such as streets, roads, streams, and railroad tracks, and/or by nonvisible boundaries such as city, town, township, and county limits, and short line-of-sight extensions of streets and roads. Census blocks are relatively small in area; for example, a block in a city bounded by streets. However, census blocks in remote areas are often large and irregular and may even be many square miles in area. A common misunderstanding is that data users think census blocks are used geographically to build all other census geographic areas, rather all other census geographic areas are updated and then used as the primary constraints, along with roads and water features, to delineate the tabulation blocks. As a result, all 2010 Census blocks nest within every other 2010 Census geographic area, so that Census Bureau statistical data can be tabulated at the block level and aggregated up to the appropriate geographic areas. Census blocks cover all territory in the United States, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands). Blocks are the smallest geographic areas for which the Census Bureau publishes data from the decennial census. A block may consist of one or more faces. The boundaries have been aligned to Miami-Dade County base data where they have been found to NOT be within +/- 10 ft.Updated: Every 10 yrs The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

This point feature class represents the approximate location of Adult Care Centers within the City of Miami. The data has been obtained from Miami-Dade County Open-Data and clipped to contain only assets that fall within the city limits. For a countywide layer, please refer to Miami-Dade County Open Data Hub at https://gis-mdc.opendata.arcgis.com/The Adult Care Facilities dataset includes information on licensed residential and day-service settings that provide assistance to adults who cannot live independently. It supports efforts to promote health, safety, and quality of life for adults and seniors, while offering cost-effective alternatives to institutional care. The dataset can be used to analyze the distribution of adult care services in relation to employment centers, helping identify areas where expanded services may support workforce participation. It also helps ensure equitable access to adult support services and informs planning for aging populations.Data Refresh Frequency: This dataset is refreshed on a weekly basis, regardless of whether any updates have occurred in the source data. Users should note that the data is reprocessed and reloaded each week to ensure availability and consistency, even in the absence of changes.