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

Moscow and St.Petersburg, Russia experienced the largest price drops worldwide, dropping 105 and 74 places in the ranking respectively. While Russia is experiencing import and labor shortages, this drop has largely been impacted by the depreciation of the Russian rouble, which has depreciated by around 60% since 2022. In China and Japan, the drop has also been attributed to weakening currencies. Meanwhile, Singapore and Zurich were ranked the most expensive cities in the world.

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

Housing Index in China decreased by 3.50 percent in May from -4 percent in April of 2025. This dataset provides the latest reported value for - China Newly Built House Prices YoY Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Lumber fell to 599.02 USD/1000 board feet on July 11, 2025, down 1.89% from the previous day. Over the past month, Lumber's price has fallen 2.99%, but it is still 37.54% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Lumber - values, historical data, forecasts and news - updated on July of 2025.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Interest Rates, High Prices, and Inventory Shortage to Slow Down Housing Market

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Cocoa prices have dropped significantly due to demand concerns and market challenges, affecting the chocolate industry.

Discover why China's coal market is under pressure, with prices dropping due to oversupply and how this impacts global coal consumption.

Key information about House Prices Growth

• Hong Kong SAR (China) house prices dropped 6.4% YoY in Jan 2025, following a decrease of 7.2% YoY in the previous month.
• YoY growth data is updated monthly, available from Jan 1994 to Jan 2025, with an average growth rate of 3.4%.
• House price data reached an all-time high of 51.8% in May 1997 and a record low of -44.7% in Oct 1998.

Key information about House Prices Growth

• State of Palestine (West Bank and Gaza) house prices dropped 0.4% YoY in Dec 2024, following a decrease of 0.6% YoY in the previous quarter.
• YoY growth data is updated quarterly, available from Mar 2019 to Dec 2024, with an average growth rate of 0.5%.
• House price data reached an all-time high of 13.9% in Sep 2021 and a record low of -9.1% in Sep 2020.

Portugal, Italy, Ireland, Greece, and Spain were widely considered the Eurozone's weakest economies during the Great Recession and subsequent Eurozone debt crisis. These countries were grouped together due to the similarities in their economic crises, with much of them driven by house price bubbles which had inflated over the early 2000s, before bursting in 2007 due to the Global Financial Crisis. Entry into the Euro currency by 2002 had meant that banks could lend to house buyers in these countries at greatly reduced rates of interest.

This reduction in the cost of financing contributed to creating housing bubbles, which were further boosted by pro-cyclical housing policies among many of the countries' governments. In spite of these economies experiencing similar economic problems during the crisis, Italy and Portugal did not experience housing bubbles in the same way in which Greece, Ireland, and Spain did. In the latter countries, their real housing prices (which are adjusted for inflation) peaked in 2007, before quickly declining during the recession. In particular, house prices in Ireland dropped by over 40 percent from their peak in 2007 to 2011.

The U.S. housing market continues to evolve, with the median home price forecast to reach ******* U.S. dollars by the second quarter of 2026. This projection comes after a period of significant growth and recent fluctuations, reflecting the complex interplay of economic factors affecting the real estate sector. The rising costs have not only impacted home prices, but also down payments, with the median down payment more than doubling since 2012. Regional variations in housing costs Home prices and down payments vary dramatically across the United States. While the national median down payment stood at approximately ****** U.S. dollars in early 2024, homebuyers in states like California, Massachusetts, and Hawaii faced down payments exceeding ****** U.S. dollars. This disparity highlights the challenges of homeownership in high-cost markets and underscores the importance of location in determining housing affordability. Market dynamics and future outlook The housing market has shown signs of cooling after years of rapid growth, with more modest price increases of *** percent in 2022 and *** percent in 2023. This slowdown can be attributed in part to rising mortgage rates, which have tempered demand. Despite these challenges, most states continued to see year-over-year price growth in the fourth quarter of 2023, with Rhode Island and Vermont leading the pack at over ** percent appreciation. As the market adjusts to new economic realities, potential homebuyers and investors alike will be watching closely for signs of stabilization or renewed growth in the coming years.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

AEX: Up or Down?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Key information about House Prices Growth

• China house prices dropped 4.1% YoY in Dec 2024, following a decrease of 4.8% YoY in the previous month.
• YoY growth data is updated monthly, available from Mar 1999 to Dec 2024, with an average growth rate of 7.4%.
• House price data reached an all-time high of 25.0% in Feb 2010 and a record low of -12.6% in Apr 1999.

Wholesale Prices YoY in Austria decreased by 0.50 percent in May from -1 percent in April of 2025. This dataset includes a chart with historical data for Austria Wholesale Prices YoY.

Producer Prices in Lithuania decreased 2.70 percent in June of 2025 over the same month in the previous year. This dataset provides - Lithuania Producer Prices Change- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Turkey experienced the highest annual change in house prices in 2024, followed by Bulgaria and Russia. In the fourth quarter of the year, the nominal house price in Turkey grew by **** percent, while in Bulgaria and Russia, the increase was ** and ** percent, respectively. Meanwhile, many countries saw prices fall throughout the year. That has to do with an overall cooling of the global housing market that started in 2022. When accounting for inflation, house price growth was slower, and even more countries saw the market shrink.

Price Drop Alert App Market Outlook

According to our latest research, the global Price Drop Alert App market size reached USD 1.42 billion in 2024, reflecting robust adoption across diverse industries. The market is expected to grow at a CAGR of 14.1% from 2025 to 2033, reaching a forecasted value of USD 4.27 billion by 2033. This impressive growth trajectory is primarily driven by the surging demand for real-time price monitoring tools among consumers and businesses, coupled with the rapid expansion of e-commerce and digital retail ecosystems worldwide.

The primary growth factor for the Price Drop Alert App market is the exponential increase in online shopping and digital transactions. As consumers become more price-sensitive and tech-savvy, the demand for tools that provide instant notifications about price reductions, discounts, and promotional offers has soared. E-commerce giants and retailers are integrating these apps to enhance customer loyalty, drive sales conversions, and reduce cart abandonment rates. The proliferation of smartphones and the penetration of high-speed internet have further fueled the adoption of these apps, making price tracking and alert systems indispensable for both buyers and sellers. Additionally, the increasing competition among online retailers to capture and retain customers has led to the widespread adoption of price drop alert solutions as a strategic differentiator in their digital marketing toolkits.

Another significant driver is the advancement in artificial intelligence and machine learning technologies, which are being leveraged to enhance the accuracy and personalization of price drop alerts. Modern Price Drop Alert Apps utilize sophisticated algorithms to analyze historical pricing data, predict future price trends, and deliver highly targeted notifications to users. This not only empowers consumers to make informed purchasing decisions but also enables retailers and enterprises to optimize their pricing strategies dynamically. The integration of these intelligent features ensures a seamless and engaging user experience, fostering greater adoption across various industry verticals such as electronics, fashion, travel, and groceries. The ability to aggregate and analyze large volumes of pricing data in real-time has also opened new avenues for app developers and service providers to offer value-added services and monetization opportunities.

The growing emphasis on customer-centric solutions and personalized shopping experiences is further propelling the Price Drop Alert App market. Retailers and brands are increasingly focusing on building long-term relationships with their customers by offering tailored deals and timely price notifications. This trend is particularly evident in segments like fashion and electronics, where price volatility and frequent promotional campaigns are common. Moreover, the adoption of omnichannel retail strategies has necessitated the integration of price drop alert functionalities across multiple platforms, including mobile apps, web-based interfaces, and in-store systems. As a result, the market is witnessing a surge in innovative solutions that cater to the evolving needs of both individual consumers and enterprise clients.

From a regional perspective, North America currently dominates the Price Drop Alert App market, accounting for the largest share in 2024, followed closely by Europe and the Asia Pacific. The high adoption rate in these regions can be attributed to the presence of well-established e-commerce ecosystems, advanced digital infrastructure, and a tech-savvy consumer base. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, driven by the rapid expansion of online retail, increasing smartphone penetration, and rising disposable incomes in emerging economies such as India and China. Latin America and the Middle East & Africa are also poised to experience steady growth, supported by ongoing digital transformation initiatives and the growing popularity of online shopping platforms.

Platform Analysis

The platform segment of the Price Drop Alert App market is categorized into Android, iOS, and Web-based platforms. Android-based price drop alert apps currently hold the largest market share, primarily due to the widespread adoption of Android smartphones globally, particularly in emerging markets. The open-source nature of the Android platform and its vast user base have made it an attracti

Key information about House Prices Growth

• Chile house prices dropped 1.7% YoY in Sep 2024, following a decrease of 3.0% YoY in the previous month.
• YoY growth data is updated monthly, available from Jan 2004 to Sep 2024, with an average growth rate of 4.2%.
• House price data reached an all-time high of 13.9% in Aug 2021 and a record low of -3.6% in Jun 2006.

The average sales price of new homes in the United States experienced a slight decrease in 2024, dropping to 512,2000 U.S. dollars from the peak of 521,500 U.S. dollars in 2022. This decline came after years of substantial price increases, with the average price surpassing 400,000 U.S. dollars for the first time in 2021. The recent cooling in the housing market reflects broader economic trends and changing consumer sentiment towards homeownership. Factors influencing home prices and affordability The rapid rise in home prices over the past few years has been driven by several factors, including historically low mortgage rates and increased demand during the COVID-19 pandemic. However, the market has since slowed down, with the number of home sales declining by over two million between 2021 and 2023. This decline can be attributed to rising mortgage rates and decreased affordability. The Housing Affordability Index hit a record low of 98.1 in 2023, indicating that the median-income family could no longer afford a median-priced home. Future outlook for the housing market Despite the recent cooling, experts forecast a potential recovery in the coming years. The Freddie Mac House Price Index showed a growth of 6.5 percent in 2023, which is still above the long-term average of 4.4 percent since 1990. However, homebuyer sentiment remains low across all age groups, with people aged 45 to 64 expressing the most pessimistic outlook. The median sales price of existing homes is expected to increase slightly until 2025, suggesting that affordability challenges may persist in the near future.