1. crim: Per capita crime rate by town.
2. zn: Proportion of large residential lots (over 25,000 sq. ft.).
3. indus: Proportion of non-retail business acres per town.
4. Chas: Binary variable indicating if the property is near Charles River (1 for yes, 0 for no).
5. nox: Concentration of nitrogen oxides in the air.
6. rm: Average number of rooms per dwelling.
7. age: Proportion of old owner-occupied units built before 1940.
8. dis: Weighted distances to Boston employment centers.
9. rad: Index of accessibility to radial highways.
10. tax: Property tax rate per $10,000.

These features provide valuable information about the characteristics of neighborhoods that can influence housing prices.

Dataset

This dataset was created by Vishal Kushwaha

Contents

Graph and download economic data for All-Transactions House Price Index for Boston, MA (MSAD) (ATNHPIUS14454Q) from Q3 1977 to Q3 2025 about Boston, MA, appraisers, HPI, housing, price index, indexes, price, and USA.

The S&P Case Shiller Boston Home Price Index has been on an upward trend in the past years. The index measures changes in the prices of existing single-family homes. The index value was equal to 100 as of January 2000, so if the index value is equal to 130 in a given month, for example, it means that the house prices have increased by 30 percent since 2000. The value of the S&P Case Shiller Boston Home Price Index amounted to nearly ****** in August 2025. That was above the national average.

The Boston housing dataset is a multivariate dataset containing information about housing prices in Boston. The dataset is used to demonstrate the proposed methods for visualizing feature importance in black box models.

Graph and download economic data for S&P CoreLogic Case-Shiller MA-Boston Home Price Index (BOXRNSA) from Jan 1987 to Sep 2025 about Boston, NH, MA, HPI, housing, price index, indexes, price, and USA.

The Boston Housing dataset contains information about housing prices in the suburbs of Boston, 1970.

Dataset

This dataset was created by Fazela Amjad

Contents

About Dataset

All the following text is copied directly from the original dataset used: https://www.kaggle.com/datasets/fedesoriano/the-boston-houseprice-data
The only difference is that features 12 and 13 have been removed for simplicity. See original link for a version with those features in place.

Similar Datasets

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California Housing Prices Data (5 new features!): https://www.kaggle.com/fedesoriano/california-housing-prices-data-extra-features
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Context

The Boston house-price data of Harrison, D. and Rubinfeld, D.L. 'Hedonic prices and the demand for clean air', J. Environ. Economics & Management, vol.5, 81-102, 1978.

Attribute Information

Input features in order: 1) CRIM: per capita crime rate by town
2) ZN: proportion of residential land zoned for lots over 25,000 sq.ft.
3) INDUS: proportion of non-retail business acres per town
4) CHAS: Charles River dummy variable (1 if tract bounds river; 0 otherwise)
5) NOX: nitric oxides concentration (parts per 10 million) [parts/10M]
6) RM: average number of rooms per dwelling
7) AGE: proportion of owner-occupied units built prior to 1940
8) DIS: weighted distances to five Boston employment centres
9) RAD: index of accessibility to radial highways
10) TAX: full-value property-tax rate per $10,000 [$/10k]
11) PTRATIO: pupil-teacher ratio by town
[Original features 12 and 13 have been deliberately removed from this version of the dataset]

Output variable:
1) MEDV: Median value of owner-occupied homes in $1000's [k$]

Source

StatLib - Carnegie Mellon University

Relevant Papers

Harrison, David & Rubinfeld, Daniel. (1978). Hedonic housing prices and the demand for clean air. Journal of Environmental Economics and Management. 5. 81-102. 10.1016/0095-0696(78)90006-2. https://www.researchgate.net/profile/Daniel-Rubinfeld/publication/4974606_Hedonic_housing_prices_and_the_demand_for_clean_air/links/5c38ce85458515a4c71e3a64/Hedonic-housing-prices-and-the-demand-for-clean-air.pdf

Belsley, David A. & Kuh, Edwin. & Welsch, Roy E. (1980). Regression diagnostics: identifying influential data and sources of collinearity. New York: Wiley https://www.wiley.com/en-us/Regression+Diagnostics%3A+Identifying+Influential+Data+and+Sources+of+Collinearity-p-9780471691174

Graph and download economic data for Home Price Index (High Tier) for Boston, Massachusetts (BOXRHTSA) from Jan 1987 to Sep 2025 about high tier, Boston, HPI, housing, price index, indexes, price, and USA.

Housing Values in Suburbs of Boston

This is a classic dataset for machine learning practice. I do not own it and the sources of the dataset are mentioned in the metadata and at the end of this description. I first came in contact with the dataset during the Business Analytics course given by the Lund University's School of Economics and Management.

Content

The Boston dataset contain 506 rows and 14 columns.

Source

http://lib.stat.cmu.edu/datasets/boston

Harrison, D. and Rubinfeld, D.L. (1978) Hedonic prices and the demand for clean air. J. Environ. Economics and Management 5, 81–102.

Belsley D.A., Kuh, E. and Welsch, R.E. (1980) Regression Diagnostics. Identifying Influential Data and Sources of Collinearity. New York: Wiley.

Boston Housing Dataset

The Boston Housing dataset is a well-known dataset in the field of predictive modeling and statistics. It contains information collected by the U.S. Census Service concerning housing in the area of Boston Mass.

Dataset Overview

• Number of Instances: 506
• Number of Attributes: 14 (including the target variable)

Attributes

The dataset includes the following features:

1. CRIM - Per capita crime rate by town.
2. ZN - Proportion of residential land zoned for lots over 25,000 sq. ft.
3. INDUS - Proportion of non-retail business acres per town.
4. CHAS - Charles River dummy variable (1 if tract bounds river; 0 otherwise).
5. NOX - Nitric oxides concentration (parts per 10 million).
6. RM - Average number of rooms per dwelling.
7. AGE - Proportion of owner-occupied units built prior to 1940.
8. DIS - Weighted distances to five Boston employment centers.
9. RAD - Index of accessibility to radial highways.
10. TAX - Full-value property tax rate per $10,000.
11. PTRATIO - Pupil-teacher ratio by town.
12. B - ( B ) stands for ( 1000(Bk - 0.63)^2 ) where ( Bk ) is the proportion of Black residents by town.
13. LSTAT - Percentage of lower status of the population.
14. MEDV - Median value of owner-occupied homes in $1000s (target variable).

Use Cases

This dataset can be used for:

• Regression Analysis: To predict the value of homes based on the features provided.
• Exploratory Data Analysis: To analyze the relationships between different variables.
• Machine Learning: As a benchmark dataset for testing regression models.

Citation

Details about the dataset and its original source can be found in the following reference:

• Harrison, D. and Rubinfeld, D. L. (1978). "Hedonic housing prices and the demand for clean air." J. Environ. Economics and Management, 5, 81-102.

Dataset

This dataset was created by Jyoti kumar Rout

Contents

All-Transactions House Price Index for Boston, MA (MSAD) was 489.94000 Index 1995 Q1=100 in April of 2025, according to the United States Federal Reserve. Historically, All-Transactions House Price Index for Boston, MA (MSAD) reached a record high of 489.94000 in April of 2025 and a record low of 24.75000 in October of 1977. Trading Economics provides the current actual value, an historical data chart and related indicators for All-Transactions House Price Index for Boston, MA (MSAD) - last updated from the United States Federal Reserve on November of 2025.

View monthly updates and historical trends for Case-Shiller Home Price Index: Boston, MA. Source: Standard and Poor's. Track economic data with YCharts an…

Summary of results obtained for Boston House Pricing.

The Boston Housing dataset, which is often used for regression analysis and predictive modeling tasks, doesn't typically have an official "subtitle." However, it's commonly referred to as the "Boston Housing dataset" or the "Boston Housing Price dataset" due to its focus on housing-related features and its primary target variable being the median value of owner-occupied homes in Boston suburbs.

Column Description

Columns: 1. CRIM: per capita crime rate by town (numeric) 2. ZN: proportion of residential land zoned for lots over 25,000 sq.ft. (numeric) 3. INDUS: proportion of non-retail business acres per town (numeric) 4. CHAS: Charles River dummy variable (1 if tract bounds river; 0 otherwise) (categorical) 5. NOX: nitric oxides concentration (parts per 10 million) (numeric) 6. RM: average number of rooms per dwelling (numeric) 7. AGE: proportion of owner-occupied units built prior to 1940 (numeric) 8. DIS: weighted distances to five Boston employment centres (numeric) 9. RAD: index of accessibility to radial highways (numeric) 10. TAX: full-value property-tax rate per $10,000 (numeric) 11. PTRATIO: pupil-teacher ratio by town (numeric) 12. B: 1000(Bk - 0.63)^2 where Bk is the proportion of [people of African American descent] by town (numeric) 13. LSTAT: % lower status of the population (numeric) 14. MEDV: Median value of owner-occupied homes in $1000s (target variable) (numeric)

Graph and download economic data for Condo Price Index for Boston, Massachusetts (BOXRCNSA) from Jan 1995 to Sep 2025 about Boston, NH, MA, HPI, housing, price index, indexes, price, and USA.

Graph and download economic data for Housing Inventory: Median Days on Market Month-Over-Month in Boston-Cambridge-Newton, MA-NH (CBSA) (MEDDAYONMARMM14460) from Jul 2017 to Oct 2025 about Boston, NH, MA, median, and USA.

Housing Values in Suburbs of Boston The medv variable is the target variable.

Data description The Boston data frame has 506 rows and 14 columns.

This data frame contains the following columns:

crim per capita crime rate by town.

zn proportion of residential land zoned for lots over 25,000 sq.ft.

indus proportion of non-retail business acres per town.

chas Charles River dummy variable (= 1 if tract bounds river; 0 otherwise).

nox nitrogen oxides concentration (parts per 10 million).

rm average number of rooms per dwelling.

age proportion of owner-occupied units built prior to 1940.

dis weighted mean of distances to five Boston employment centres.

rad index of accessibility to radial highways.

tax full-value property-tax rate per $10,000.

ptratio pupil-teacher ratio by town.

black 1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town.

lstat lower status of the population (percent).

medv median value of owner-occupied homes in $1000s.

Source Harrison, D. and Rubinfeld, D.L. (1978) Hedonic prices and the demand for clean air. J. Environ. Economics and Management 5, 81–102.

Belsley D.A., Kuh, E. and Welsch, R.E. (1980) Regression Diagnostics. Identifying Influential Data and Sources of Collinearity. New York: Wiley.