Graph and download economic data for Median Sales Price of Houses Sold for the United States (MSPUS) from Q1 1963 to Q4 2025 about sales, housing, median, and USA.

Context

The data used in the Machine Learning Crash course by Google here: https://developers.google.com/machine-learning/crash-course/ The original data source is: https://storage.googleapis.com/mledu-datasets/california_housing_train.csv

Content

Generic California housing data from 1990 but cleaner

Acknowledgements

Google ML Crash Course

Inspiration

Wasn't here?

Housing Index in the United Kingdom increased to 519.30 points in February from 517.80 points in January of 2026. This dataset provides - United Kingdom House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for All-Transactions House Price Index for the United States (USSTHPI) from Q1 1975 to Q4 2025 about appraisers, HPI, housing, price index, indexes, price, and USA.

Average House Prices in Canada decreased to 661100 CAD in February from 665000 CAD in January of 2026. This dataset includes a chart with historical data for Canada Average House Prices.

these are the Replication files for: How Global is the Affordable Housing Crisis? accepted by the International Journal of Housing Markets and Analysis

Context

Data augmentation for housing prices

Content

US Housing Data for 2008-2009 (pre crisis and crisis year) to predict housing prices more accurate

Inspiration

Housing price prediction competition on Kaggle

Introduction:

The American real estate market has been a cornerstone of the nation's economic landscape, marked by periods of growth, stability, and volatility. This essay aims to explore the volatility of the American real estate market and envision its hypothetical future over the next century.

Historical Perspective:

The history of the American real estate market is a tapestry woven with economic cycles, regulatory changes, and societal shifts. From the roaring success of the post-World War II era to the housing market crash of 2008, the market has demonstrated a remarkable ability to evolve. Volatility has been a constant companion, driven by factors such as interest rates, economic recessions, and geopolitical events.

Current Dynamics:

As of the present moment, the American real estate market is experiencing a mix of optimism and caution. Low-interest rates have fueled demand, leading to rising property values in many regions. However, concerns about affordability, supply chain disruptions, and the lingering impact of the COVID-19 pandemic have added layers of complexity.

Factors Influencing Volatility:

Interest Rates: Fluctuations in interest rates play a pivotal role in shaping the real estate market. A rise in interest rates can lead to higher mortgage costs, potentially cooling demand and impacting property values.

Economic Indicators: The health of the overall economy, including GDP growth, employment rates, and consumer confidence, directly influences the real estate market. Economic downturns can result in decreased demand and property devaluation.

Regulatory Changes: Government policies and regulatory decisions can significantly impact the real estate landscape. For example, changes in tax laws or zoning regulations can alter investment incentives and property values.

Technological Advancements: The advent of technology has transformed the real estate industry through online platforms, virtual tours, and data analytics. These advancements can both mitigate and exacerbate market volatility.

Hypothetical Future:

Now, let's embark on a speculative journey into the future, imagining the American real estate market a century from now.

1-50 Years:

In the next few decades, advancements in sustainable architecture and urban planning may shape the real estate landscape. The increasing importance of renewable energy and environmental considerations could lead to a shift in property valuation based on eco-friendly features. Virtual reality may redefine how properties are bought and sold, making global transactions more accessible.

51-100 Years:

Looking further ahead, the integration of artificial intelligence into urban planning and property management could revolutionize the industry. Smart cities, equipped with autonomous infrastructure and AI-driven services, might become the norm. The concept of property ownership itself might evolve, with decentralized technologies offering new models for communal living.

Challenges and Solutions:

While these hypothetical scenarios paint a futuristic picture, challenges such as socio-economic inequality, climate change, and geopolitical tensions could impede progress. Solutions may lie in international collaboration, innovative policy frameworks, and a collective commitment to sustainable development.

Conclusion:

The American real estate market, characterized by its historical volatility, is poised to undergo transformative changes in the coming century. The interplay of economic, technological, and societal factors will shape its trajectory. By addressing current challenges and embracing innovation, the real estate market can navigate future uncertainties and contribute to a sustainable and prosperous future. As we peer into the next century, the only certainty is that change will be the constant companion of the American real estate market.

This project will explore the impact of the economic recession on cities and households through a systematic comparison of the experiences of two English cities, Bristol and Liverpool.The research will use both quantitative and qualitative approaches. Interviews will be held in both cities with stakeholders from across the public, private and voluntary and community sectors. A social survey of 1000 households will also be conducted in the two cities covering 10 specific household types. A series of in-depth qualitative interviews will then be held with households drawn from the survey and chosen to illustrate the spectrum of experience.In the context of globalisation and the rescaling of cities and states, the research aims to develop our understanding of the relationship between economic crisis, global connectivity and the transnational processes shaping cities and the everyday lives of residents. It will explore the 'capillary-like' impact of the crisis and austerity measures on local economic development, and local labour and housing markets, as well as highlight the intersecting realities of everyday life for households across the life course.The research will document the responses and coping strategies developed across different household types and evaluate the impact and effectiveness of 'anti-recession' strategies and policies.

This data package includes the underlying data files to replicate the data and charts presented in Why China's housing policies have failed, PIIE Working Paper 23-5.

If you use the data, please cite as: Huang, Tianlei. 2023. Why China's housing policies have failed. PIIE Working Paper 23-5. Washington, DC: Peterson Institute for International Economics.