Graph and download economic data for Housing Inventory: Median Days on Market in Boston-Cambridge-Newton, MA-NH (CBSA) (MEDDAYONMAR14460) from Jul 2016 to Aug 2025 about Boston, NH, MA, median, and USA.

Graph and download economic data for All-Transactions House Price Index for Boston, MA (MSAD) (ATNHPIUS14454Q) from Q3 1977 to Q2 2025 about Boston, MA, appraisers, HPI, housing, price index, indexes, price, and USA.

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

The U.S. housing market has slowed, after ** consecutive years of rising home prices. In 2021, house prices surged by an unprecedented ** percent, marking the highest increase on record. However, the market has since cooled, with the Freddie Mac House Price Index showing more modest growth between 2022 and 2024. In 2024, home prices increased by *** percent. That was lower than the long-term average of *** percent since 1990. Impact of mortgage rates on homebuying The recent cooling in the housing market can be partly attributed to rising mortgage rates. After reaching a record low of **** percent in 2021, the average annual rate on a 30-year fixed-rate mortgage more than doubled in 2023. This significant increase has made homeownership less affordable for many potential buyers, contributing to a substantial decline in home sales. Despite these challenges, forecasts suggest a potential recovery in the coming years. How much does it cost to buy a house in the U.S.? In 2023, the median sales price of an existing single-family home reached a record high of over ******* U.S. dollars. Newly built homes were even pricier, despite a slight decline in the median sales price in 2023. Naturally, home prices continue to vary significantly across the country, with West Virginia being the most affordable state for homebuyers.

Title: Boston Housing Price Prediction Dataset

Description:

This dataset contains information about housing prices in Boston and is often used for regression analysis and predictive modeling. The dataset is based on the classic Boston Housing dataset, which is frequently used as a benchmark in machine learning.

Attributes:

1. CRIM (Per Capita Crime Rate): The per capita crime rate in the neighborhood.
2. ZN (Proportion of Residential Land Zoned for Large Lots): The proportion of residential land zoned for lots over 25,000 sq. ft.
3. INDUS (Proportion of Non-Retail Business Acres): The proportion of non-retail business acres per town.
4. CHAS (Charles River Dummy Variable): A binary variable indicating whether the Charles River bounds the tract (1 if bounded, 0 otherwise).
5. NOX (Nitric Oxides Concentration): Nitric oxides concentration (parts per 10 million).
6. RM (Average Number of Rooms per Dwelling): The average number of rooms per dwelling.
7. AGE (Proportion of Owner-Occupied Units Built Prior to 1940): The proportion of owner-occupied units built prior to 1940.
8. DIS (Weighted Distances to Employment Centers): Weighted distances to five Boston employment centers.
9. RAD (Index of Accessibility to Radial Highways): An index representing accessibility to radial highways.
10. TAX (Full-Value Property Tax Rate per $10,000): The full-value property tax rate per $10,000.
11. PTRATIO (Pupil-Teacher Ratio): The pupil-teacher ratio by town.
12. B (1000(Bk - 0.63)^2 where Bk is the Proportion of Black Residents): A measure of the proportion of Black residents adjusted for an offset.
13. LSTAT (Percentage of Lower Status of the Population): The percentage of lower-status residents in the population.
14. MEDV (Median Value of Owner-Occupied Homes): The median value of owner-occupied homes in $1000s (Target Variable).

Objective:

Predict the median value of owner-occupied homes (MEDV) based on various features to gain insights into factors influencing housing prices.

Usage:

This dataset is suitable for regression tasks, machine learning practice, and understanding the dynamics of housing markets.

Citation:

The dataset is derived from the UCI Machine Learning Repository and can be cited as follows:

Harrison Jr., D., & Rubinfeld, D. L. (1978). Hedonic prices and the demand for clean air. Journal of Environmental Economics and Management, 5(1), 81-102.

Graph and download economic data for All-Transactions House Price Index for Massachusetts (MASTHPI) from Q1 1975 to Q2 2025 about MA, appraisers, HPI, housing, price index, indexes, price, and USA.

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…

Graph and download economic data for Housing Inventory: Median Listing Price in Massachusetts (MEDLISPRIMA) from Jul 2016 to Aug 2025 about MA, listing, median, price, and USA.

View quarterly updates and historical trends for Massachusetts House Price Index. Source: Federal Housing Finance Agency. Track economic data with YCharts…

This statistic shows the housing markets with the largest year-on-year change in house flips in the United States in 2018. The house flipping rate in Boston, Massachusetts was 33 percent higher in 2018 than in 2017. House flipping is a real estate term which refers to the practice of an investor buying property with the aim of reselling them for a profit. The investor either invests capital into each respective property in the form of renovations or simply resells the properties if home prices are on the rise.

View yearly updates and historical trends for Boston-Cambridge-Newton, MA-NH Housing Affordability Index. Source: National Association of Realtors. Track …

In 2022, San Jose, CA, was the hottest market for millennial homebuyers in the United States. Millennials in San Jose were responsible for nearly ** percent of the house purchase requests. Denver, CO, and Boston, MA, completed the top three with over ** percent of purchase requests. Which are the states with the youngest population in the U.S.? It should come as no surprise that the demographic composition plays a central role in the development of the housing market in different states. In 2020, the median age in the United States was 38.2 years, but some states, such as Alaska, District of Columbia, and Utah had much younger population. In contrast, Maine, Puerto Rico, and Hampshire had the highest median age of population. Millennials’ attitudes towards homeownership While many millennials have given up on homeownership, one in ***** people share that they are in the process of saving for a home purchase. These results suggest that young Americans have not entirely given up on the American dream of owning a home of their own.

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

Property managers are hired to oversee operations for apartment complexes and other rental sites. In recent years, the property management industry has seen an oversupply of high-end apartments, leading to heightened competition among property managers and slower lease-ups. This has resulted in downward pressure on rent growth and flattened or declining rents in certain regions. In the office space sector, elevated interest rates have significantly decreased new office construction. Limited new stock increases the appeal of prime buildings and gives owners a strong negotiating position, leading to rent gains for Class A buildings. Demand for apartments has remained robust, as climbing home prices and elevated mortgage rates have made home ownership unaffordable for many households. Through the end of 2025, industry revenue has climbed at a CAGR of 1.9% to $134.2 billion, including a boost of 1.9% in 2025 alone. The gain of short-term rental platforms like Airbnb and VRBO has revolutionized the rental market, with property management firms adapting their services to accommodate these changes. However, persistent inflation and high interest rates present operational challenges for the industry and may strengthen costs. Property managers adopt various strategies to offset these expenses, such as adjusting rents, optimizing costs, streamlining operations through software and technology and renegotiating contracts for fixed-rate agreements. Through the end of 2030, housing affordability issues and slow construction activity will continue to boost the residential property management sector. E-commerce growth will stimulate demand in retail property management, with property managers needing to offer more flexible lease agreements adapted to omnichannel retail strategies. Technological advancements will be pivotal in the industry: AI, predictive tools and digital lease management platforms can streamline operations, improve efficiency and offer valuable insights through data analysis. While adopting these technologies may involve upfront costs, they will likely lead to long-term savings and positive transformations within the industry. Altogether, revenue will climb at a CAGR of 1.8% to reach $146.9 billion in 2030.

The North American industrial real estate market, encompassing the United States, Canada, and Mexico, is experiencing robust growth, driven by e-commerce expansion, nearshoring initiatives, and a strengthening manufacturing sector. The market's Compound Annual Growth Rate (CAGR) exceeding 4.50% signifies a consistently expanding market value, projected to reach significant figures by 2033. Key sectors fueling this growth include Information Technology (IT and ITES), Manufacturing, and BFSI (Banking, Financial Services, and Insurance), with consulting and other sectors also contributing. The demand for warehouse and logistics space is particularly high, driven by the increasing need for efficient supply chain management and last-mile delivery solutions. Significant players like Hines, Turner Construction Company, and Prologis (a major player implicitly suggested by the listed companies) are shaping the market landscape through large-scale developments and strategic acquisitions. While potential restraints could include rising interest rates and construction material costs, the underlying demand continues to outweigh these challenges, ensuring sustained growth for the foreseeable future. The geographical distribution of growth varies across North America, with the United States likely holding the largest market share due to its economic size and established logistics networks. Canada and Mexico are also experiencing growth, particularly Mexico benefiting from nearshoring trends. Segmentation within the sectors reveals a dynamic market. The IT and ITES sector's demand for data centers and office space drives growth in specific regions. Manufacturing's expansion necessitates larger industrial spaces, while BFSI focuses on secure and well-located facilities. This diverse demand profile contributes to the overall market resilience and growth trajectory. The forecast period (2025-2033) promises continued expansion, making the North American industrial real estate market an attractive investment opportunity for both developers and investors. Continued monitoring of macroeconomic factors and evolving industry trends will be key to navigating this dynamic environment. Recent developments include: December 2021: Boston Properties Inc. (the largest publicly traded developer, owner, and manager of Class A office properties) announced that it completed the acquisition of 360 Park Avenue South, a 450,000 square-foot, 20-story office property located in the Midtown South submarket of Manhattan, New York, from Enterprise Asset Management Inc. (an investment management firm). Furthermore, the gross purchase value accounted for approximately USD 300 million., December 2021: Boston Properties Inc. announced a joint venture in which the company has a 49% ownership and executed a 229,000 square foot lease with a leading biotech company at the venture's 751 Gateway project in South San Francisco, California. The lease covers the entire building, which is currently under construction, with initial occupancy expected in early 2024.. Notable trends are: Increasing Rental Prices of Office Spaces.

The United States home construction market, valued at approximately $700 billion in 2025, is experiencing robust growth, projected to maintain a compound annual growth rate (CAGR) exceeding 3% through 2033. This expansion is fueled by several key factors. Firstly, a persistent housing shortage, particularly in desirable urban areas like New York City, Los Angeles, and San Francisco, continues to drive demand. Secondly, favorable demographic trends, including millennial household formation and an increasing preference for homeownership, are bolstering the sector. Furthermore, low interest rates (though this is subject to change depending on economic conditions) have historically made mortgages more accessible, stimulating construction activity. However, the market isn't without its challenges. Rising material costs, labor shortages, and supply chain disruptions continue to exert upward pressure on construction prices, potentially impacting affordability and slowing growth in certain segments. The market is segmented by dwelling type (apartments & condominiums, villas, other), construction type (new construction, renovation), and geographic location, with significant activity concentrated in major metropolitan areas. The dominance of large national builders like D.R. Horton, Lennar Corp, and PulteGroup highlights the industry's consolidation trend, while the growth of multi-family construction reflects shifting urban preferences. Looking ahead, the market's trajectory will depend on macroeconomic factors, interest rate fluctuations, government policies impacting housing affordability, and the ability of the industry to address supply-chain and labor challenges. Innovation in construction technologies, sustainable building practices, and prefabricated homes are also emerging trends expected to significantly influence market dynamics over the forecast period. The competitive landscape is characterized by a mix of large publicly traded companies and smaller regional builders. While established players dominate the market share, opportunities exist for smaller firms specializing in niche markets, such as sustainable or luxury home construction, or those focused on specific geographic areas. The ongoing expansion of the market signifies significant potential for investment and growth, despite the hurdles currently impacting the sector. Addressing supply chain disruptions and labor shortages will be crucial for sustained growth. Continued demand in key urban centers and evolving consumer preferences toward specific dwelling types will be critical factors determining the market's future trajectory. Recent developments include: June 2022 - Pulte Homes - a national brand of PulteGroup, Inc. - announced the opening of its newest Boston-area community, Woodland Hill. Offering 46 new construction single-family homes in the charming town of Grafton, the community is conveniently located near schools, dining, and entertainment, with the Massachusetts Bay Transportation Authority commuter rail less than a mile away. The collection of home designs at Woodland Hill includes three two-story floor plans, ranging in size from 3,013 to 4,019 sq. ft. with four to six bedrooms, 2.5-3.5 baths, and 2-3 car garages. These spacious home designs feature flexible living spaces, plenty of natural light, gas fireplaces, and the signature Pulte Planning Center®, a unique multi-use workstation perfect for homework or a family office., December 2022 - D.R. Horton, Inc. announced the acquisition of Riggins Custom Homes, one of the largest builders in Northwest Arkansas. The homebuilding assets of Riggins Custom Homes and related entities (Riggins) acquired include approximately 3,000 lots, 170 homes in inventory, and 173 homes in the sales order backlog. For the trailing twelve months ended November 30, 2022, Riggins closed 153 homes (USD 48 million in revenue) with an average home size of approximately 1,925 square feet and an average sales price of USD 313,600. D.R. Horton expects to pay approximately USD 107 million in cash for the purchase, and the Company plans to combine the Riggins operations with the current D.R. Horton platform in Northwest Arkansas.. Notable trends are: High-interest Rates are Negatively Impacting the Market.

The average price per square foot of floor space in new single-family housing in the United States decreased after the great financial crisis, followed by several years of stagnation. Since 2012, the price has continuously risen, hitting ****** U.S. dollars per square foot in 2024. In 2024, the average sales price of a new home exceeded ******* U.S. dollars. Development of house sales in the U.S. One of the reasons for rising property prices is the gradual growth of house sales between 2011 and 2020. This period was marked by the gradual recovery following the subprime mortgage crisis and a growing housing sentiment. Another significant factor for the housing demand was the growing number of new household formations each year. Despite this trend, housing transactions plummeted in 2021, amid soaring prices and borrowing costs. In 2021, the average construction cost for single-family housing rose by nearly ** percent year-on-year, and in 2022, the increase was even higher, at close to ** percent. Financing a house purchase Mortgage interest rates in the U.S. rose dramatically in 2022 and remained elevated until 2024. In 2020, a homebuyer could lock in a 30-year fixed interest rate of under ***** percent, whereas in 2024, the average rate for the same mortgage type was more than twice higher. That has led to a decline in homebuyer sentiment, and an increasing share of the population pessimistic about buying a home in the current market.

San Francisco Bay Rare was the largest research and development (R&D) and life science real estate market in the United States in 2023, with a total inventory of **** million square feet. Greater Boston, Massachusetts, followed with over **** million square feet. The life science REIT Alexandria Real Estate Equities was the largest owner of life science real estate during that year.

The US commercial real estate (CRE) market, valued at $1.66 trillion in 2025, is projected to experience steady growth, driven by robust economic activity and increasing demand across various sectors. A compound annual growth rate (CAGR) of 2.61% from 2025 to 2033 indicates a positive outlook, although this growth is expected to be moderated by factors like rising interest rates and potential economic slowdowns. Strong performance is anticipated in key sectors such as office, retail, and industrial spaces, particularly in major metropolitan areas like New York, Los Angeles, and Chicago. The multi-family sector, fueled by population growth and urbanization, is also poised for significant expansion. However, challenges remain, including supply chain disruptions impacting construction costs and the evolving nature of work impacting office demand. The logistics sector continues to be a significant driver of growth, fueled by e-commerce expansion and the need for efficient supply chains. Competition among established players like CBRE, Cushman & Wakefield, JLL, and numerous regional firms will likely remain fierce, necessitating strategic acquisitions, technological advancements, and innovative service offerings to secure market share. The regional distribution of the US CRE market reflects the concentration of economic activity and population density. The Northeast and West Coast regions are expected to continue to dominate, with New York, Los Angeles, and San Francisco being key contributors to overall market value. However, growth is also anticipated in secondary markets such as Denver, Austin, and Nashville, driven by factors like lower operating costs and population migration. The ongoing shift towards sustainable and technologically advanced buildings will likely influence investment decisions, as investors prioritize energy efficiency and environmental responsibility. The forecast period (2025-2033) will likely witness increased adoption of PropTech solutions aimed at improving efficiency and transparency within the industry, furthering shaping the competitive landscape and overall market dynamics. Recent developments include: In March 2022, Progressive Real Estate Partners, the leading retail real estate brokerage firm in the Inland Empire, announced the USD 8 million-worth sale of The Grove. This property is a Circle K anchored neighborhood center located in Orange St. in Redlands, CA. The 39,339-square-foot property is situated at the signalized intersection of Orange Street and San Bernardino Avenue, just minutes from the I-10 and I-210 freeways and the University of Redlands., In February 2022, Shannon Waltchack (SW) acquired a 23,150 sq. ft shopping center Gateway Plaza in Bloomingdale, IL - the sixth acquisition in SW's latest fund. The center is 100% occupied by a mix of medical, service, and food tenants, including Aspen Dental, LensCrafters, and McAlister's Deli.. Notable trends are: Industrial Sector Expected to Record High Demand.

(https://www.kaggle.com/c/house-prices-advanced-regression-techniques) About this Dataset Start here if... You have some experience with R or Python and machine learning basics. This is a perfect competition for data science students who have completed an online course in machine learning and are looking to expand their skill set before trying a featured competition.

Competition Description

Ask a home buyer to describe their dream house, and they probably won't begin with the height of the basement ceiling or the proximity to an east-west railroad. But this playground competition's dataset proves that much more influences price negotiations than the number of bedrooms or a white-picket fence.

With 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa, this competition challenges you to predict the final price of each home.

Practice Skills Creative feature engineering Advanced regression techniques like random forest and gradient boosting Acknowledgments The Ames Housing dataset was compiled by Dean De Cock for use in data science education. It's an incredible alternative for data scientists looking for a modernized and expanded version of the often cited Boston Housing dataset.

Context

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Content

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