2 datasets found
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    Housing with Mortgages

    • columbus.hub.arcgis.com
    Updated Aug 14, 2018
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    City of Columbus Maps & Apps (2018). Housing with Mortgages [Dataset]. https://columbus.hub.arcgis.com/maps/7fbd4609180d43a0a6cf9aa51624d53a
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    Dataset updated
    Aug 14, 2018
    Dataset authored and provided by
    City of Columbus Maps & Apps
    Area covered
    Description

    Part of the American Dream is owning your own home. This map shows the percentage of occupied housing that has a mortgage or loan in the U.S., by state, county, tract and block group. The data shown is from the U.S. Census Bureau's SF1 and TIGER data sets for 2010. See the map package for this data. The map is multi-scale – it switches from state, to county, to tract, to block group data as the map zooms in. The polygon data was shorelined and selected rivers and lakes were also erased from the boundaries to give a more familiar look at specific scales. At each scale, a simple popup shares a few key statistics in a paragraph, and displays a chart of housing by type of ownership.The thematic classifications are centered around the U.S. average for housing with mortgages (about 40%). The center classification is characterized as “Average.” Its break points are based on one-half standard deviation around the mean. Breakpoints for the “Low” and “High” classes are also determined from one-half standard deviation (9.7%). “Very Low” and “Very High” classes capture the remaining values.The thematic colors use colors chosen to emphasize the “high” end of the values. Darker colors are used to represent high values, while lighter colors represent low values. The “Average” class color is neutral. As you zoom into the map, a stroke is added to the polygon boundaries to delineate the county, tract and block group boundaries without allowing them to dominate the map (as is the case with black, white or other strong colors for boundaries).The light gray canvas basemap was selected for this web map to draw attention to the thematic content.

  2. Housing with Mortgages-Copy

    • hub.arcgis.com
    Updated Nov 16, 2017
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    Esri Aid & Development Team (2017). Housing with Mortgages-Copy [Dataset]. https://hub.arcgis.com/maps/EsriAidDev::housing-with-mortgages-copy
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    Dataset updated
    Nov 16, 2017
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Aid & Development Team
    Area covered
    Description

    Part of the American Dream is owning your own home. This map shows the percentage of occupied housing that has a mortgage or loan in the U.S., by state, county, tract and block group. The data shown is from the U.S. Census Bureau's SF1 and TIGER data sets for 2010. See the map package for this data. The map is multi-scale – it switches from state, to county, to tract, to block group data as the map zooms in. The polygon data was shorelined and selected rivers and lakes were also erased from the boundaries to give a more familiar look at specific scales. At each scale, a simple popup shares a few key statistics in a paragraph, and displays a chart of housing by type of ownership.The thematic classifications are centered around the U.S. average for housing with mortgages (about 40%). The center classification is characterized as “Average.” Its break points are based on one-half standard deviation around the mean. Breakpoints for the “Low” and “High” classes are also determined from one-half standard deviation (9.7%). “Very Low” and “Very High” classes capture the remaining values.The thematic colors use colors chosen to emphasize the “high” end of the values. Darker colors are used to represent high values, while lighter colors represent low values. The “Average” class color is neutral. As you zoom into the map, a stroke is added to the polygon boundaries to delineate the county, tract and block group boundaries without allowing them to dominate the map (as is the case with black, white or other strong colors for boundaries).The light gray canvas basemap was selected for this web map to draw attention to the thematic content.

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Share
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Email
Click to copy link
Link copied
Close
Cite
City of Columbus Maps & Apps (2018). Housing with Mortgages [Dataset]. https://columbus.hub.arcgis.com/maps/7fbd4609180d43a0a6cf9aa51624d53a

Housing with Mortgages

Explore at:
33 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Aug 14, 2018
Dataset authored and provided by
City of Columbus Maps & Apps
Area covered
Description

Part of the American Dream is owning your own home. This map shows the percentage of occupied housing that has a mortgage or loan in the U.S., by state, county, tract and block group. The data shown is from the U.S. Census Bureau's SF1 and TIGER data sets for 2010. See the map package for this data. The map is multi-scale – it switches from state, to county, to tract, to block group data as the map zooms in. The polygon data was shorelined and selected rivers and lakes were also erased from the boundaries to give a more familiar look at specific scales. At each scale, a simple popup shares a few key statistics in a paragraph, and displays a chart of housing by type of ownership.The thematic classifications are centered around the U.S. average for housing with mortgages (about 40%). The center classification is characterized as “Average.” Its break points are based on one-half standard deviation around the mean. Breakpoints for the “Low” and “High” classes are also determined from one-half standard deviation (9.7%). “Very Low” and “Very High” classes capture the remaining values.The thematic colors use colors chosen to emphasize the “high” end of the values. Darker colors are used to represent high values, while lighter colors represent low values. The “Average” class color is neutral. As you zoom into the map, a stroke is added to the polygon boundaries to delineate the county, tract and block group boundaries without allowing them to dominate the map (as is the case with black, white or other strong colors for boundaries).The light gray canvas basemap was selected for this web map to draw attention to the thematic content.

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