Urbanization Perceptions Small Area Index
Resources
4 resources available
-
ArcGIS Hub Dataset
WEB PAGE -
Geo Database
ZIP -
Shapefile
ZIP -
ArcGIS Hub Dataset
TEXT/HTMLNo link available
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"025:00"
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|
| contactPoint |
{
"fn": "HUD eGIS Help Desk",
"@type": "vcard:Contact",
"hasEmail": "mailto:GIShelpdesk@hud.gov"
}
|
| description | This service provides a tract-level dataset illustrating the outcome of machine learning techniques applied to neighborhood classification reported by the American Housing Survey (AHS) as either urban, suburban, or rural. Definitions of “urban” and “rural” are abundant in government, academic literature, and data-driven journalism. Equally abundant are debates about what is urban or rural and which factors should be used to define these terms. Absent from most of this discussion is evidence about how people perceive or describe their neighborhood. Moreover, as several housing and demographic researchers have noted, the lack of an official or unofficial definition of suburban obscures the stylized fact that a majority of Americans live in a suburban setting. In 2017, the U.S. Department of Housing and Urban Development added a simple question to the 2017 American Housing Survey (AHS) asking respondents to describe their neighborhood as urban, suburban, or rural. |
| distribution |
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|
| identifier | 9b13dc7e75474eab9a4a643d91c34f58 |
| keyword |
[
"HUD",
"Housing & Demographic Analysis Division",
"OEA",
"Office of Economic Affairs",
"Office of Policy Development and Research",
"PD&R",
"TRACT",
"U.S. Department of Housing and Urban Development",
"UPSAI",
"Urbanization Perceptions Small Area Index",
"hud.official.content"
]
|
| modified | 2023-08-11T15:03:58.297Z |
| programCode |
[
"025:000"
]
|
| publisher |
{
"name": "U.S. Department of Housing and Urban Development",
"@type": "org:Organization"
}
|
| title | Urbanization Perceptions Small Area Index |