This web map contains the City's portion of the Parcel layer maintained and provided by Miami Dade County. The parcel layer is updated weekly. The folio number (attribute) included identifies each individual parcel within city boundaries. The parcel id (PID) field is a unique internal ID that represents the geometry of the parcel as an object in the layer. For inquiries, you can reach the GIS Team at ITDGISTeam@miamigov.com.

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.

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

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.

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 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.

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.

A polygon feature class of Miami-Dade Municipal (Incorporated) Maintained Parks and Recreational boundary. Updated: Bi-Annually The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

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 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.

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.

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.

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 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 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.

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 web map contains the City of Miami Parcels layer and may be used as a general reference layer to identify lots of land that fall within the City of Miami Boundaries. For more information regarding this product, contact the GIS Team (Department of Innovation and Technology) at itdgisteam@miamigov.com

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

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.

Florida COVID-19 Cases by Zip Code exported from the Florida Department of Health GIS Layer on date seen in file name. Archived by the University of South Florida Libraries, Digital Heritage and Humanities Collections. Contact: LibraryGIS@usf.edu.Please Cite Our GIS HUB. If you are a researcher or other utilizing our Florida COVID-19 HUB as a tool or accessing and utilizing the data provided herein, please provide an acknowledgement of such in any publication or re-publication. The following citation is suggested: University of South Florida Libraries, Digital Heritage and Humanities Collections. 2020-2021. Florida COVID-19 Hub. Available at https://covid19-usflibrary.hub.arcgis.com/.https://doi.org/10.5038/USF-COVID-19-GISLive FDOH Data Source: https://services1.arcgis.com/CY1LXxl9zlJeBuRZ/arcgis/rest/services/Florida_Cases_Zips_COVID19/FeatureServerFor data 5/10/2020 or after: Archived data was exported directly from the live FDOH layer into the archive. For data prior to 5/10/2020: Data was exported by the University of South Florida - Digital Heritage and Humanities Collection using ArcGIS Pro Software. Data was then converted to shapefile and csv and uploaded into ArcGIS Online archive. For data definitions please visit the following box folder: https://usf.box.com/s/vfjwbczkj73ucj19yvwz53at6v6w614hData definition files names include the relative date they were published. The below information was taken from ancillary documents associated with the original layer from FDOH.Q. How is the zip code assigned to a person or case? Cases are counted in a zip code based on residential or mailing address, or by healthcare provider or lab address if other addresses are missing.Q. Why is the city data and the zip code data different? The zip code data is supplied to a healthcare worker, case manager, or lab technician by each individual during intake when a test is first recorded. When entering a zip code, the system we use automatically produces a list of cities within that zip code for the individual to further specify where they live. Sometimes the individual uses the postal city, which may be Miami, when in reality that person lives outside the City of Miami boundaries in the jurisdiction of Coral Gables. Many zip codes contain multiple city/town jurisdictions, and about 20% of zip codes overlap more than one county. Q: How is the Zip Code data calculated and/or shown? If a COUNTY has five or more cases (total): • In zip codes with fewer than 5 cases, the total number of cases is shown as “<5”. • Zip codes with 0 cases in these counties are “0" or "No cases.” • All values of 5 or greater are shown by the actual number of cases in that zip code. If a COUNTY has fewer than five total cases across all of its zip codes, then ALL of the zip codes within that county show the total number of cases as "Suppressed." Q: My zip code says "SUPPRESSED" under cases. What does that mean? IF Suppressed: This county currently has fewer than five cases across all zip codes in the county. In an effort to protect the privacy of our COVID-19-Positive residents, zip code data is only available in counties where five or more cases have been reported. Q: What about PO Box zip codes, or zip codes with letters, like 334MH? PO Box zip codes are not shown in the map. “Filler” zip codes with letters, like 334MH, are typically areas where no or very few people live – like the Florida Everglades, and are shown on the map like any other zip code. Key Data about Cases by Zip Code: ZIP = The zip code COUNTYNAME = The county for the zip code (multi-part counties have been split) ZIPX = The unique county-zip identifier used to pair the data during updates POName = The postal address name assigned to the zip code place_labels = A list of the municipalities intersecting the zip code boundary c_places = The list of cities cases self-reported as being residents of Cases_1 = The number of cases in each zip code, with conditions*LabelY = A calculated field for map display only. All questions regarding this dataset should be directed to the Florida Department of Health.