Comprehensive Data-Driven Analysis of NYC Real Estate Transactions: Insights into Pricing Dynamics, Neighborhood Evolution, and Socioeconomic Influences

Author

Ruiming Xu, The Graduate Center, City University of New YorkFollow

Date of Degree

2-2025

Document Type

Capstone Project

Degree Name

M.S.

Program

Data Analysis & Visualization

Advisor

Howard T. Everson

Subject Categories

Business Analytics | Real Estate | Urban, Community and Regional Planning

Abstract

This project provides a comprehensive analysis of New York City’s real estate market, focusing on its historical evolution, shifting demographics, and the significant impact of the COVID-19 pandemic on housing trends. Utilizing data from trusted sources like Zillow, the NYC Department of Finance, and the U.S. Census Bureau, the study investigates how property values have changed over time, highlights neighborhoods undergoing notable transformations, and identifies the economic, cultural, and social factors driving these changes. The research aims to reveal the complex forces shaping the market while offering insights into its future direction and the reasons behind current trends. A key focus is on how the pandemic catalyzed profound shifts in the market, spurring growth in some neighborhoods while causing declines in others, and reshaping housing preferences to prioritize larger living spaces and outdoor amenities, reflecting evolving societal priorities.

Comments

Online component on CUNY Manifold:https://cuny.manifoldapp.org/projects/nyc-real-estate-transactions

Recommended Citation

Xu, Ruiming, "Comprehensive Data-Driven Analysis of NYC Real Estate Transactions: Insights into Pricing Dynamics, Neighborhood Evolution, and Socioeconomic Influences" (2025). CUNY Academic Works.
https://academicworks.cuny.edu/gc_etds/6114