Dataset Metadata Record
Transportation Cost Index, KCMA State Senate Dists 2012
Short Description: Estimate of transportation expenses for a family meeting certain criteria.
Dataset Name: KCMa_2012_STATEUPPER_HUD_TRANSPORT_COST_IDX
Format: csv
FTP Location/Path: . . .\Unrestricted\2_SpatialAttributeData\8_TransportationDatasets
Data Type: Attributes/Indicators
Category: Summary Level
Source: US HUD
Spatial Data Type: Non-spatial
Summary Level: State Legis - Upper
Year Dated From: 2012
Data Insert date:
To:
Data Inserted by:
Data Insert Modified date:
Data Domains: Economic, Housing, Social, Transportation
Keywords: 2012, HUD, transportation cost, index, social determinates, Upper state house, political geography
Provenance: Developed by HUD using Location Affordability Index data. For more information see http://hudgis-hud.opendata.arcgis.com/datasets/low-transportation-cost-index Data provided by mySidewalk.
Permissions: P2
XY Coordinate System:
North:
East:
Creation Date: May 28, 2019
Catalog Date: December 6, 2019
South:
West:
Created by: Neal Wilson
Cataloged By: Neal Wilson
Statisical Abstract / Profile: Coming later
Long Description : The Low Transportation Cost Index is based on estimates of transportation expenses for a family that meets the following description: a 3-person single-parent family with income at 50% of the median income for renters for the region (i.e. CBSA). The estimates come from the Location Affordability Index (LAI). The data correspond to those for household type 6 (hh_type6_) as noted in the LAI data dictionary. More specifically, among this household type, we model transportation costs as a percent of income for renters (t_rent). Neighborhoods are defined as census tracts. The LAI data do not contain transportation cost information for Puerto Rico.
For more information see: http://hudgis-hud.opendata.arcgis.com/datasets/low-transportation-cost-index
Values are inverted and percentile ranked nationally, with values ranging from 0 to 100. The higher the transportation cost index, the lower the cost of transportation in that neighborhood. Transportation costs may be low for a range of reasons, including greater access to public transportation and the density of homes, services, and jobs in the neighborhood and surrounding community."