Skip to main content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

USDA Logo U.S. Department of Agriculture

Publication Details

Title:
Residential housing segregation and urban tree canopy in 37 US Cities; data in support of Locke et al 2020 in npj Urban Sustainability Data publication contains GIS data
Author(s):
Locke, Dexter H.
Publication Year:
2020
How to Cite:
If you use these data in a publication, presentation, or other research product please use the following citation:
Locke, Dexter H. 2020. Residential housing segregation and urban tree canopy in 37 US Cities; data in support of Locke et al 2020 in npj Urban Sustainability. Environmental Data Initiative. https://doi.org/10.6073/pasta/907a557cac781eb4cf72f866a2903c04
Abstract:

Our goal in this paper is to examine whether there are similar patterns in the distribution of tree canopy by Home Owners’ Loan Corporation (HOLC) graded neighborhoods across 37 cities. A pre-print of the paper can be found here: https://osf.io/preprints/socarxiv/97zcs

This data packages contains:

1. City-specific file geodatabases with features classes of the HOLC polygons obtained from the Mapping Inequality Project https://dsl.richmond.edu/panorama/redlining/, and tables summarizing tree canopy, and in some cases other land cover classes.

2. An *.R script that replicates all of the analyses, graphs, and tables in the paper. Other double checks, exploratory, and miscellaneous outputs are created by the script too as a bonus. Everything in the paper can be done with the script; additional work outputs are also created.

3. A *.csv file containing city, the HOLC grade, and the percent tree canopy cover. This can be used to create the main findings of the paper and this flat file is provided as an alternative to running the R script to extract information from the geodatabases, combine, and analyze them. The intention is that this file is more widely accessible; the underlying information is the same.

Redlining was a racially discriminatory housing policy established by the federal government’s Home Owners’ Loan Corporation (HOLC) during the 1930s. For decades, redlining limited access to homeownership and wealth creation among racial minorities, contributing to a host of adverse social outcomes, including high unemployment, poverty, and residential vacancy, that persist today. While the multigenerational socioeconomic impacts of redlining are increasingly understood, the impacts on urban environments and ecosystems remains unclear. To begin to address this gap, we investigated how the HOLC policy administered 80 years ago may relate to present-day tree canopy at the neighborhood level. Urban trees provide many ecosystem services, mitigate the urban heat island effect, and may improve quality of life in cities. In our prior research in Baltimore, MD, we discovered that redlining policy influenced the location and allocation of trees and parks. Our analysis of 37 metropolitan areas here shows that areas formerly graded D, which were mostly inhabited by racial and ethnic minorities, have on average ~23% tree canopy cover today. Areas formerly graded A, characterized by U.S.-born white populations living in newer housing stock, had nearly twice as much tree canopy (~43%). Results are consistent across small and large metropolitan regions. The ranking system used by Home Owners’ Loan Corporation to assess loan risk in the 1930s parallels the rank order of average percent tree canopy cover today.

Keywords:
MD; BES; LTER; Urban Tree Canopy; Environmental Justice; Mortgage loans; spatial vector; watersheds; urban; Ecology, Ecosystems, & Environment; Geography; Environment and People; Decision making, public involvement; History; Urban natural resources management; Social values, ethics; biota; Baltimore Ecosystem Study; Baltimore; Maryland; Altoona; Pennsylvania; Atlantic City; New Jersey; Auora; Illinois; Boston; Massachusetts; Cambridge; Massachusetts; Camden; New Jersey; Charlotte; North Carolina; Chelsea; Massachusetts; Chicago, Illinois; Cleveland; Ohio; Denver; Colorado; Michigan; New York; Indiana; California; Virginia; Florida; Connecticut; Washington
Metrics:
Visit count : 305
Access count: 41
More details
Data Access:
World symbol which represents External data
  • View metadata (XML)
  • Access data (available via external archive)

Need information about Using our Formats?