14 datasets found
  1. d

    TIGER/Line Shapefile, 2019, county, Miami-Dade County, FL, Topological Faces...

    • catalog.data.gov
    Updated Dec 2, 2020
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    (2020). TIGER/Line Shapefile, 2019, county, Miami-Dade County, FL, Topological Faces (Polygons With All Geocodes) County-based Shapefile [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2019-county-miami-dade-county-fl-topological-faces-polygons-with-all-geoco
    Explore at:
    Dataset updated
    Dec 2, 2020
    Area covered
    Miami-Dade County, Florida
    Description

    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 2010 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.

  2. a

    2020 Census Response Probability Web Map

    • mdc.hub.arcgis.com
    Updated Apr 22, 2019
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    Miami-Dade County, Florida (2019). 2020 Census Response Probability Web Map [Dataset]. https://mdc.hub.arcgis.com/maps/5d04016928f444b7929a61e31b5c67e8
    Explore at:
    Dataset updated
    Apr 22, 2019
    Dataset authored and provided by
    Miami-Dade County, Florida
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    The shaded Census Tracts represent the lowest 20% for selected Miami-Dade County social, demographic and economic variables that were highly correlated with low response rates in the 2010 Census. The darker the shading, the greater the potential that the response rate is affected by more of the selected six variables

  3. a

    CRR WebMap

    • hub.arcgis.com
    • flagler-section-community-vision-workshop-1-cggis.hub.arcgis.com
    Updated Apr 21, 2020
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    Gables GIS (2020). CRR WebMap [Dataset]. https://hub.arcgis.com/maps/e1061688ead24bbe848d31646464b205
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    Dataset updated
    Apr 21, 2020
    Dataset authored and provided by
    Gables GIS
    Area covered
    Description

    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).

  4. a

    Census 2020 Response Rates by Tracts

    • mdc.hub.arcgis.com
    Updated Apr 20, 2020
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    Miami-Dade County, Florida (2020). Census 2020 Response Rates by Tracts [Dataset]. https://mdc.hub.arcgis.com/maps/335c73abdac7442984e50bef3936bc5e
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    Dataset updated
    Apr 20, 2020
    Dataset authored and provided by
    Miami-Dade County, Florida
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    Interactive GIS Web Map Application that shows the Households Response Rates, by Tracts to the 2020 Census.

    Layer attributes include daily self-response rates. For Miami-Dade County Census Tracts, Planning Research and Economic Analysis Section will provide data updates.

  5. a

    Tract 2020

    • hub.arcgis.com
    Updated Jan 13, 2023
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    Miami-Dade County, Florida (2023). Tract 2020 [Dataset]. https://hub.arcgis.com/maps/MDC::tract-2020
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    Dataset updated
    Jan 13, 2023
    Dataset authored and provided by
    Miami-Dade County, Florida
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    Census Tracts are small, relatively permanent statistical subdivisions of a county or statistically equivalent entity that can be updated by local participants prior to each decennial census as part of the Census Bureau’s Participant Statistical Areas Program (PSAP). The Census Bureau delineates census tracts in situations where no local participant responded or where state, local, or tribal governments declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of statistical data.Updated: Weekly The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

  6. a

    Qualified Opportunity Zones

    • gis-mdc.opendata.arcgis.com
    • hub.arcgis.com
    Updated Dec 7, 2018
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    Miami-Dade County, Florida (2018). Qualified Opportunity Zones [Dataset]. https://gis-mdc.opendata.arcgis.com/datasets/MDC::qualified-opportunity-zones/about
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    Dataset updated
    Dec 7, 2018
    Dataset authored and provided by
    Miami-Dade County, Florida
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    A polygon feature class with all population census tracts designated as Qualified Opportunity Zones (QOZs) as well as all population census tracts originally eligible for designation as a QOZ for purposes of 1400Z1 and 1400Z2 of the Internal Revenue Code (the Code). To identify areas designated as Qualified Opportunity Zones (QOZs). An Opportunity Zone is an economically-distressed community where new investments, under certain conditions, may be eligible for preferential tax treatment.Updated: Not Planned The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

  7. a

    Empowerment Zone Line

    • gis-mdc.opendata.arcgis.com
    • hub.arcgis.com
    Updated Jun 5, 2018
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    Miami-Dade County, Florida (2018). Empowerment Zone Line [Dataset]. https://gis-mdc.opendata.arcgis.com/datasets/empowerment-zone-line
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    Dataset updated
    Jun 5, 2018
    Dataset authored and provided by
    Miami-Dade County, Florida
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    A line feature class of the Empowerment Zone boundaries within Miami-Dade County, derived from pre-selected U.S. Census Tracts.Updated: Not Planned The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

  8. a

    Tract Unaligned 1990

    • hub.arcgis.com
    • gis-mdc.opendata.arcgis.com
    Updated Jun 6, 2018
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    Miami-Dade County, Florida (2018). Tract Unaligned 1990 [Dataset]. https://hub.arcgis.com/maps/MDC::tract-unaligned-1990
    Explore at:
    Dataset updated
    Jun 6, 2018
    Dataset authored and provided by
    Miami-Dade County, Florida
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline.Updated: Not Planned The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

  9. a

    Jobs by Block

    • hub.arcgis.com
    • gis-mdc.opendata.arcgis.com
    Updated Apr 2, 2021
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    Miami-Dade County, Florida (2021). Jobs by Block [Dataset]. https://hub.arcgis.com/maps/MDC::jobs-by-block
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    Dataset updated
    Apr 2, 2021
    Dataset authored and provided by
    Miami-Dade County, Florida
    Area covered
    Description

    Source: Snapshot visualization of the estimated average number of jobs at the census block level, disaggregated from LODES data.

    Purpose: Tile layer utilized for visualization.

    Contact Information: Charles Rudder (crudder@citiesthatwork.com)/ Alex Bell (abell@citiesthatwork.com)

  10. a

    Block 1990

    • gis-mdc.opendata.arcgis.com
    • hub.arcgis.com
    Updated Jun 5, 2018
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    Miami-Dade County, Florida (2018). Block 1990 [Dataset]. https://gis-mdc.opendata.arcgis.com/datasets/MDC::block-1990/about
    Explore at:
    Dataset updated
    Jun 5, 2018
    Dataset authored and provided by
    Miami-Dade County, Florida
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    A polygon feature class of the 1990 Census Block 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. 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.Updated: Not Planned The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

  11. a

    Total Developable Area by Block

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated Apr 2, 2021
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    Miami-Dade County, Florida (2021). Total Developable Area by Block [Dataset]. https://hub.arcgis.com/maps/MDC::total-developable-area-by-block-1
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    Dataset updated
    Apr 2, 2021
    Dataset authored and provided by
    Miami-Dade County, Florida
    Area covered
    Description

    Source: Snapshot visualization of census blocks by vacant area per block, based on parcels in the block with no reported building area.

    Purpose: Tile layer utilized for visualization.

    Contact Information: Charles Rudder (crudder@citiesthatwork.com)/ Alex Bell (abell@citiesthatwork.com)

  12. a

    Block Group 2020

    • gis-mdc.opendata.arcgis.com
    • hub.arcgis.com
    Updated Mar 26, 2021
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    Miami-Dade County, Florida (2021). Block Group 2020 [Dataset]. https://gis-mdc.opendata.arcgis.com/datasets/block-group-2020
    Explore at:
    Dataset updated
    Mar 26, 2021
    Dataset authored and provided by
    Miami-Dade County, Florida
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    A polygon feature class of the 2020 Census Block Group boundaries within Miami-Dade County. Block Groups (BGs) are defined before tabulation block delineation and numbering, but are clusters of blocks within the same census tract that have the same first digit of their 4-digit census block number from the same decennial census. Census BGs generally contain between 600 and 3,000 people, with an optimum size of 1,500 people. Most BGs were delineated by local participants in the Census Bureau's Participant Statistical Areas Program (PSAP). The Census Bureau delineated BGs only where the PSAP participant declined to delineate BGs or where the Census Bureau could not identify any local PSAP participant. A BG usually covers a contiguous area. Each census tract contains at least one BG, and BGs are uniquely numbered within census tract. Within the standard census geographic hierarchy, BGs never cross county or census tract boundaries, but may cross the boundaries of other geographic entities like county subdivisions, places, urban areas, voting districts, congressional districts, and American Indian / Alaska Native / Native Hawaiian areas. BGs have a valid code range of 0 through 9. BGs coded 0 were intended to only include water area, no land area, and they are generally in territorial seas, coastal water, and Great Lakes water areas. For Census 2000, rather than extending a census tract boundary into the Great Lakes or out to the U.S. nautical three-mile limit, the Census Bureau delineated some census tract boundaries along the shoreline or just offshore. The Census Bureau assigned a default census tract number of 0 and BG of 0 to these offshore, water-only areas not included in regularly numbered census tract areas.This layer was aligned to adade - our street network base as of Year 2001, which is based on a mapscale of 1:24000".Updated: Not Planned The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

  13. a

    Block Pop 2010

    • gis-mdc.opendata.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated Jun 5, 2018
    + more versions
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    Miami-Dade County, Florida (2018). Block Pop 2010 [Dataset]. https://gis-mdc.opendata.arcgis.com/datasets/block-pop-2010
    Explore at:
    Dataset updated
    Jun 5, 2018
    Dataset authored and provided by
    Miami-Dade County, Florida
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    A polygon feature class of the 2010 Census Block Pop 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.Updated: Not Planned The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

  14. a

    Block Site 2000

    • hub.arcgis.com
    • gis-mdc.opendata.arcgis.com
    Updated Jun 5, 2018
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    Miami-Dade County, Florida (2018). Block Site 2000 [Dataset]. https://hub.arcgis.com/maps/MDC::block-site-2000
    Explore at:
    Dataset updated
    Jun 5, 2018
    Dataset authored and provided by
    Miami-Dade County, Florida
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    A point feature class of the 2000 Census Block 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. 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. Updated: Not Planned The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

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(2020). TIGER/Line Shapefile, 2019, county, Miami-Dade County, FL, Topological Faces (Polygons With All Geocodes) County-based Shapefile [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2019-county-miami-dade-county-fl-topological-faces-polygons-with-all-geoco

TIGER/Line Shapefile, 2019, county, Miami-Dade County, FL, Topological Faces (Polygons With All Geocodes) County-based Shapefile

Explore at:
Dataset updated
Dec 2, 2020
Area covered
Miami-Dade County, Florida
Description

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 2010 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.

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