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

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

Dataset

This dataset was created by Nilay Chauhan

Contents

Dataset

This dataset was created by Arpit Kumar

Contents

(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

There's a story behind every dataset and here's your opportunity to share yours.

Content

What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too.

Acknowledgements

We wouldn't be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.

Inspiration

Your data will be in front of the world's largest data science community. What questions do you want to see answered?

West Virginia and Kansas had the lowest cost of living across all U.S. states, with composite costs being half of those found in Hawaii. This was according to a composite index that compares prices for various goods and services on a state-by-state basis. In West Virginia, the cost of living index amounted to **** — well below the national benchmark of 100. Virginia— which had an index value of ***** — was only slightly above that benchmark. Expensive places to live included Hawaii, Massachusetts, and California. Housing costs in the U.S. Housing is usually the highest expense in a household’s budget. In 2023, the average house sold for approximately ******* U.S. dollars, but house prices in the Northeast and West regions were significantly higher. Conversely, the South had some of the least expensive housing. In West Virginia, Mississippi, and Louisiana, the median price of the typical single-family home was less than ******* U.S. dollars. That makes living expenses in these states significantly lower than in states such as Hawaii and California, where housing is much pricier. What other expenses affect the cost of living? Utility costs such as electricity, natural gas, water, and internet also influence the cost of living. In Alaska, Hawaii, and Connecticut, the average monthly utility cost exceeded *** U.S. dollars. That was because of the significantly higher prices for electricity and natural gas in these states.

The LTR Genie Score of Boston, MA is 45 and STR Genie Score is 65, indicating a moderate score for long-term rental and a high score for short-term rental investment. The low LTR Rentability suggests that long-term rental properties may not be as profitable in this market compared to short-term rentals. The higher STR Genie Score could be attributed to the strong STR Net ROI of 16.75% and high STR Occupancy rate of 73.33%. The 1-Year Price Appreciation Forecast of -0.76% for Boston indicates a slight decline in property values, which may impact long-term rental investments. Boston, MA is a historically significant city with a strong economy driven by industries such as education, healthcare, and technology. The city is known for its high demand for rental properties due to its large student population and young professionals. Real estate investors should consider the market trends and economic factors when evaluating investment opportunities in Boston.Based on the metrics provided, Boston, MA may be more attractive for short-term rental investments due to the higher STR Genie Score and potential for higher returns. However, investors should carefully consider the market conditions and property values before making a decision. It may be beneficial to diversify investment portfolios with a mix of both long-term and short-term rental properties in Boston to maximize returns and mitigate risks.

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.

Find in-season and off-season pricing for heating fuels, including heating oil, propane and wood price surveys by DOER. Links to electric and natural gas rates also available here.

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 Back Bay district was the most expensive real estate market for office space in Boston in the third quarter of 2024. On average, the average asking rent was about ** U.S. dollars per square foot of office space. Downtown Boston, the market with the largest inventory of office space among Boston districts, had the second highest rent, at about ** U.S. dollars. The gross rental rate usually includes costs for utilities and other general maintenance expenses.

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.

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.

Estimate of energy prices for heating fuels for the 2024/25 Winter Heating Season

Dataset

This dataset was created by Mahmoud Abdrabo

Released under Other (specified in description)

Contents

Project Atlas - São Paulo

Project Atlas - São Paulo is a Data Science and Engineering initiative that aims at developing relevant and curated Geospatial features about the city of São Paulo, Brazil. It's ultimate use is varied, but it is mainly focused on Machine Learning tasks, such as Real State price prediction.

It aggregates several attributes from many public data sources at different levels of interest, which can be used to match geospatially referenced data (lat,long pairs for example).

A breakdown of the data sources currently used and their original references can be found below, but the official documentation of the project contains the full list of data sources.

Data sources

• GeoSampa: geospatial data exploration tool provided by the São Paulo's Department of Urban Development;
• IBGE: raw datasets from the 2010 Census conducted by the Brazilian Institute of Geography and Statistics;
• Infocidade: multiple sources from the city of São Paulo's local government entities;
• São Paulo Open Data Portal: multiple curated data sources from the city of São Paulo;

Relevant files:

1. tb_district.parquet: the dataset with all derived features aggregated at the District level;
2. tb_neighborhood.parquet: the dataset with all derived features aggregated at the Neighborhood level;
3. tb_zipcode.parquet: the dataset with all derived features aggregated at the Zipcode level;
4. tb_area_of_ponderation: the dataset with all derived features aggregated at the Area of Ponderation level;

Inspiration

This project had various inspirations, such as the Boston Housing Dataset. While I was studying relevant features for the real state market, I noticed that the classic Boston Housing dataset included several sociodemographic variables, which gave me the idea to do the same for São Paulo using the Brazilian Census data.

Acknowledgements

Photo by Lucas Marcomini on Unsplash