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Activity Number: 86 - SPEED: Data Challenge Part 2
Type: Contributed
Date/Time: Sunday, July 28, 2019 : 4:00 PM to 4:45 PM
Sponsor: Government Statistics Section
Abstract #307461
Title: Measuring Gentrification Over Time with the NYCHVS
Author(s): Robert Montgomery* and Quentin Brummet and Nola du Toit and Peter Herman and Edward Mulrow
Companies: NORC and NORC and NORC at the University of Chicago and NORC at the University of Chicago and NORC at the University of Chicago
Keywords: Synthetic data; R; Shiny; Housing

Using data from the New York City Housing and Vacancy Survey public use files combined with other data sources such as building permit data, we examine the ways in which gentrification in New York City has evolved over time, and investigate the impacts of this change on housing and neighborhood characteristics. We construct a tract-level synthetic data set to estimate housing characteristics and measures of gentrification at the Census tract level, paying particular attention to different definitions of gentrification. We then produce data visualizations that show how these measures of gentrification evolve over time and relate them to neighborhood amenities and aggregate characteristics. These new measures can be used to inform research on neighborhood housing trends, and are displayed using an R/Shiny application which allows the user to explore the data interactively and graphically.

Authors who are presenting talks have a * after their name.

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