# RECORD 24c898db0280ed27b83fec434fc31363de05ba6c
# TITLE: Study on the Influencing Factors of Boston Housing Price
# YEAR: 2025.0  VENUE: Advances in Economics, Management and Political Sciences  DOI: 10.54254/2754-1169/2025.29736
# AUTHORS: Haoran Hua
# PAGES: 8  CANDIDATE TABLE PAGES (1-based): []
# ABSTRACT: This paper presents a thorough analysis of the Boston Housing Dataset, specifically examining how median house prices (medv) relate to several key factors, with a primary focus on the per capita crime rate (crim). The Boston Housing Dataset serves as a foundational framework for applied data science projects. Through rigorous statistical methods and insightful figures, we aim to uncover the significant influences these factors may have on housing prices. This article explores the factors that may influence housing prices, examines their characteristics and impacts, and provides predictions regarding future housing price trends. Analyses reveal that rising crime rates often have a negative impact on the median housing values within a community.While rising crime rates can lead to a decline in median housing values, the extent of the impact and the underlying mechanisms may differ depending on the region and local circumstances.


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Proceedings of the 4th International Conference on Business and Policy Studies
DOI: 10.54254/2754-1169/2025.29736
© 2025 The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0
(https://creativecommons.org/licenses/by/4.0/).
207
Study on the Influencing Factors of Boston Housing Price
Haoran Hua
Xi'an Tie Yi International Curriculum Center, Xi'an, China
huahaoran2025@163.com
Abstract.  This paper presents a thorough analysis of the Boston Housing Dataset,
specifically examining how median house prices (medv) relate to several key factors, with a
primary focus on the per capita crime rate (crim). The Boston Housing Dataset serves as a
foundational framework for applied data science projects. Through rigorous statistical
methods and insightful figures, we aim to uncover the significant influences these factors
may have on housing prices. This article explores the factors that may influence housing
prices, examines their characteristics and impacts, and provides predictions regarding future
housing price trends. Analyses reveal that rising crime rates often have a negative impact on
the median housing values within a community.While rising crime rates can lead to a decline
in median housing values, the extent of the impact and the underlying mechanisms may
differ depending on the region and local circumstances.
Keywords: Boston housing price, influencing factor, capita crime rate
1. Introduction
The Boston housing dataset is a very framework for applied data science projects. Here, we provide
a novel study. In this introduction, we first provide some background and then our research objects.
Finally, at the end of the introduction we provide an overview of the rest of this paper.
1.1. Background
The data of program comes from the UCI machine learning repository.This data was collected in
1978. The 506 data represent 14 characteristics of homes in different regions.
The target variable, Median House Value (MEDV), serves as a primary indicator for assessing
housing market values.
1.2. Research objective
1.This study aims to explore the dataset's features and employ advanced statistical methods to
uncover insights into housing market dynamics in Boston.
2.The importance and practical application of integrating standardized statistical analysis
methods into Python teaching are discussed. Through case study and empirical analysis, it is found
that this teaching mode significantly improves students' data analysis ability and problem-solving
skills.