In North Dakota, however, the amount of people experiencing homelessness exploded, tripling in only a year's time. Most of the exceptions are clustered in the northeastern and north-central parts of the country, but even in these regions the increases were for the most part relatively modest.
Underneath the heading, click Add Content block, and choose text add the a text content block, with the following text: Nationwide, people experiencing homelessness is on the decline, with most states experiencing decreases in the amount of homelessness.Locate the row representing North Dakota (abbreviated to ND).ObjectID-Identifier number added by ArcGIS Pro.Homeless13-Total homeless count in 2013.Change-Change in total unhoused count between 20.The National Alliance to End Homelessness offers an additional explanation of Point-in-Time counts. Point-in-Time (PIT) counts are the annual practice of counting people experiencing homelessness on a single night in January. This spreadsheet was adapted from the PIT Counts by State files published by the United States Department of Housing and Urban Development, which are available on the HUD Exchange site.
Sheet1$ is the first sheet in a spreadsheet, Homeless Data.xlsx, provided in the download folder. Alternatively, to add the table, use the Excel to Table geoprocessing tool.
#Arcgis 10.3 difference between layout view and data view install#
If there is a red exclamation point next to the stand-alone table, you may need to install the Microsoft Access Database Engine driver.
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