A DATA-CENTRIC INVESTIGATION INTO BARRIERS TO HOMEOWNERSHIP ACROSS THE UNITED STATES

The study investigates and presents the multiple factors influencing real estate price fluctuations over the last 24 years in the United States of America.The research has a large dataset of more than 2.2 million real estate listings and detailed economic, environmental, social, and political data sources.This research connects the gap between actionable policy and data science and analytics and presents possible solutions to mitigate the challenges caused by increased real estate prices in the United States.By analyzing patterns and the hidden causes of prices, we try to help establish a better understanding of how complex the housing market can be.A key goal of this research is to highlight the main influences of real estate price fluctuations.Specific economic indicators such as the HPI (House Price Index), GDP (Gross Domestic Product), and wage growth have a direct correlation with housing prices and accessibility.Social trends such as demographic shifts, migration patterns, and gentrification help shape supply and demand trends.Additionally, environmental factors such as natural disasters and climate change also disproportionately influence property values, affecting weaker and more susceptible communities.Furthermore, legal and political policies, such as zoning laws and housing regulations, determine

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Publication Details

Journal
INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY
Published
2025-04-22
DOI
https://doi.org/10.34218/ijcet_16_02_023
Primary Topic
Housing Market and Economics
Type
article
Field-Weighted Citation Impact
0.00

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article

A DATA-CENTRIC INVESTIGATION INTO BARRIERS TO HOMEOWNERSHIP ACROSS THE UNITED STATES

Sai Pranav Raketla
INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY
Housing Market and Economics
article

A DATA-CENTRIC INVESTIGATION INTO BARRIERS TO HOMEOWNERSHIP ACROSS THE UNITED STATES

Sai Pranav Raketla
article en

Abstract

The study investigates and presents the multiple factors influencing real estate price fluctuations over the last 24 years in the United States of America.The research has a large dataset of more than 2.2 million real estate listings and detailed economic, environmental, social, and political data sources.This research connects the gap between actionable policy and data science and analytics and presents possible solutions to mitigate the challenges caused by increased real estate prices in the United States.By analyzing patterns and the hidden causes of prices, we try to help establish a better understanding of how complex the housing market can be.A key goal of this research is to highlight the main influences of real estate price fluctuations.Specific economic indicators such as the HPI (House Price Index), GDP (Gross Domestic Product), and wage growth have a direct correlation with housing prices and accessibility.Social trends such as demographic shifts, migration patterns, and gentrification help shape supply and demand trends.Additionally, environmental factors such as natural disasters and climate change also disproportionately influence property values, affecting weaker and more susceptible communities.Furthermore, legal and political policies, such as zoning laws and housing regulations, determine

INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGYVol. 16(2)
STMicroelectronics (United States) (US)
National Aeronautics and Space Administration, U.S. Department of Housing and Urban Development
Decent work and economic growth
Openalex Percentile: Top 88%
Housing Market and Economics
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A DATA-CENTRIC INVESTIGATION INTO BARRIERS TO HOMEOWNERSHIP ACROSS THE UNITED STATES — Sai Pranav Raketla · INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY (2025) | TGRS Research Map | TGRS