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 following data set contains service request activity for Miami-Dade County. The data sets include services completed proactively by Miami-Dade County departments and requests submitted by citizens via phone (311), online (miamidade.gov), and other self service channels such as the 311Direct mobile application. With a few exceptions, the dataset does not generally include requests from other cities (City of Miami, Coral Gables, etc.) unless the work is owned by Miami-Dade County staff. THIS DATA SET IS STILL IN BETA. Please keep that in mind as you review it.

A polygon feature class of the City of Miami Commissioner District boundaries. The purpose of the district layer is to divide voters by City of Miami Commissioner 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

A view of the Municipal (City) Name and Code excluding Unincorporated Miami-Dade County.

A point feature class of Miami-Dade County Municipal City Halls created for the Miami-Dade County Office of Emergency Management (OEM). Municipal City Halls are considered OEM Critical Locations.Updated: Bi-Annually The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

A dataset listing Florida counties by population for 2024.

A line feature class derived from our main Miami-Dade County's Streets Feature Class. Maintenance Code -- Definition =============================AP - Airport/Port MaintainedCC - County/City MaintainedCI - City MaintainedCM - County Maintained Within CityCO - County MaintainedPC - Private CityPR - Private ROW CountySR - State MaintainedU - UnknownUR - Undeveloped ROWUpdated: Weekly-Sat The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

Tracking response rates of Coral Gables residents across the city and by their census tract.Statistic show the ongoing, cumulative response rates (CRR) for place (cities) in Miami Dade County; and, for census tracts in and around Coral Gables.The information is collected through the 2020 Census online resources and made into 2 map layers. One layer shows CRR for cities in Miami Dade. The other layer shows CRR for census tracts in and around Coral Gables. Click on a city or tract will show a popup that shows the name and response rate for the object.Direct any question to the Information Technology GIS section itsd@coralgables.com; or by calling the IT Help Desk at 305 569 2448 (HELP).

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

Cities in the U.S. are getting hotter, and that is causing significant health risks, especially to minorities, the elderly, and impoverished. There is significant spatial variation in temperature across a city due to changes in the landscape (elevation, tree cover, development, etc). NOAA has been engaged in a nationwide effort with CAPA Strategies to use a combination of Sentinel-2 satellite data along with temperature readings recorded from car- and bike-mounted sensors to generate detailed maps of the urban areas most impacted by heat. These measurements have been combined into single raster layers for morning, afternoon, and evening temperatures. As of 2020, 27 cities (26 in the U.S) have been mapped; a total of 50 cities will be mapped by the end of 2021. This layer shows the census tract (neighborhood) averages for those temperatures, along with additional information calculated for each neighborhood including:Temperature anomaly (neighborhood temperature compared to the citywide average based on the CAPA data)Impervious surfaceTree coverDemographicsTotal populationPopulation <5Population >65MinorityMedian incomePovertyCombining these different types of information can help planners identify areas at risk and help to develop mitigation and resilience plans to improve urban living conditions. More information about the campaign can be found in this Story Map by NOAA.

A polygon feature class of the 2010 Census Block Pop Demographic boundaries 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. Population and demographic figures have been appended to the end of the feature classes attribute table.Updated: Every 10 yrs The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere