30 Year Mortgage Rate in the United States decreased to 6.67 percent in July 3 from 6.77 percent in the previous week. This dataset includes a chart with historical data for the United States 30 Year Mortgage Rate.

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

The average resale house price in Canada was forecast to reach nearly ******* Canadian dollars in 2026, according to a January forecast. In 2024, house prices increased after falling for the first time since 2019. One of the reasons for the price correction was the notable drop in transaction activity. Housing transactions picked up in 2024 and are expected to continue to grow until 2026. British Columbia, which is the most expensive province for housing, is projected to see the average house price reach *** million Canadian dollars in 2026. Affordability in Vancouver Vancouver is the most populous city in British Columbia and is also infamously expensive for housing. In 2023, the city topped the ranking for least affordable housing market in Canada, with the average homeownership cost outweighing the average household income. There are a multitude of reasons for this, but most residents believe that foreigners investing in the market cause the high housing prices. Victoria housing market The capital of British Columbia is Victoria, where housing prices are also very high. The price of a single family home in Victoria's most expensive suburb, Oak Bay was *** million Canadian dollars in 2024.

House Price Index YoY in the United States decreased to 3 percent in April from 3.90 percent in March of 2025. This dataset includes a chart with historical data for the United States FHFA House Price Index YoY.

The index relates to costs ruling on the first day of each month. NATIONAL HOUSE CONSTRUCTION COST INDEX; Up until October 2006 it was known as the National House Building Index Oct 2000 data; The index since October, 2000, includes the first phase of an agreement following a review of rates of pay and grading structures for the Construction Industry and the first phase increase under the PPF. April, May and June 2001; Figures revised in July 2001due to 2% PPF Revised Terms. March 2002; The drop in the March 2002 figure is due to a decrease in the rate of PRSI from 12% to 10¾% with effect from 1 March 2002. The index from April 2002 excludes the one-off lump sum payment equal to 1% of basic pay on 1 April 2002 under the PPF. April, May, June 2003; Figures revised in August'03 due to the backdated increase of 3% from 1April 2003 under the National Partnership Agreement 'Sustaining Progress'. The increases in April and October 2006 index are due to Social Partnership Agreement "Towards 2016". March 2011; The drop in the March 2011 figure is due to a 7.5% decrease in labour costs. Methodology in producing the Index Prior to October 2006: The index relates solely to labour and material costs which should normally not exceed 65% of the total price of a house. It does not include items such as overheads, profit, interest charges, land development etc. The House Building Cost Index monitors labour costs in the construction industry and the cost of building materials. It does not include items such as overheads, profit, interest charges or land development. The labour costs include insurance cover and the building material costs include V.A.T. Coverage: The type of construction covered is a typical 3 bed-roomed, 2 level local authority house and the index is applied on a national basis. Data Collection: The labour costs are based on agreed labour rates, allowances etc. The building material prices are collected at the beginning of each month from the same suppliers for the same representative basket. Calculation: Labour and material costs for the construction of a typical 3 bed-roomed house are weighted together to produce the index. Post October 2006: The name change from the House Building Cost Index to the House Construction Cost Index was introduced in October 2006 when the method of assessing the materials sub-index was changed from pricing a basket of materials (representative of a typical 2 storey 3 bedroomed local authority house) to the CSO Table 3 Wholesale Price Index. The new Index does maintains continuity with the old HBCI. The most current data is published on these sheets. Previously published data may be subject to revision. Any change from the originally published data will be highlighted by a comment on the cell in question. These comments will be maintained for at least a year after the date of the value change. Oct 2008 data; Decrease due to a fall in the Oct Wholesale Price Index.

February sales in the Greater Toronto Area (GTA) were down substantially from the pre-rate hike levels of early 2022. However, the number of new listings also dropped substantially year-over-year. The result was that the average selling price and MLS® HPI continued to level off after trending lower through the spring and summer of last year. “It has been almost a year since the Bank of Canada started raising interest rates. Home prices have dropped over the last year from the record peak in February 2022, mitigating the impact of higher borrowing costs. Many homebuyers have also decided to purchase a lower priced home to help offset higher borrowing costs. The share of home purchases below one million dollars is up substantially compared to this time last year,” said Toronto Regional Real Estate Board (TRREB) President Paul Baron. GTA REALTORS® reported 4,783 sales through TRREB’s MLS® System in February 2023 – down 47 per cent compared to February 2022, the last full month before the onset of interest rate hikes. The number of new listings entered into the system was down by a similar annual rate of 40.9 per cent to 8,367. “New listings continued to drop year-over-year in the GTA. Recently released Ipsos polling suggests buying intentions have picked up for 2023. This increased demand will run up against a constrained supply of listings and lead to increased competition between buyers. This will eventually lead to renewed price growth in many segments of the market, especially those catering to first-time buyers facing increased rental costs,” said TRREB Chief Market Analyst Jason Mercer. The average selling price for February 2023 was $1,095,617 – down 17.9 per cent compared to February 2022. Some of this decline is attributable to the fact that the share of sales below $1,000,000 was 57 per cent in February 2023 versus only 38 per cent a year earlier. On a monthly basis, the average price followed the regular seasonal trend, increasing relative to January 2023. The MLS® Home Price Index (HPI) Composite Benchmark was down year-over-year by a similar annual rate of 17.7 per cent, but was also up on a monthly basis. “As we move toward a June mayoral by-election in Toronto, housing supply will once again be front and centre in the policy debate. New and innovative solutions, including the City of Toronto’s initiative to allow duplexes, triplexes and fourplexes in all neighbourhoods citywide, need to come to fruition if we are to achieve an adequate and diverse housing supply that will support record population growth in the years to come,” said TRREB Chief Executive Officer John DiMichele.

Residential Property Prices in South Africa increased 5.20 percent in January of 2025 over the same month in the previous year. This dataset includes a chart with historical data for South Africa Residential Property Prices.