Food price increases hit the egg category the hardest between December 2021 and December 2024 in the United States. The price of eggs increased by **** percent in 2024.

According to a survey taken in July 2025, roughly 27percent of surveyed Americans were planning to make purchases because they expected prices to increase as a result of the tariffs.

Home Value Insights: A Beginner's Regression Dataset

This dataset is designed for beginners to practice regression problems, particularly in the context of predicting house prices. It contains 1000 rows, with each row representing a house and various attributes that influence its price. The dataset is well-suited for learning basic to intermediate-level regression modeling techniques.

Features:

1. Square_Footage: The size of the house in square feet. Larger homes typically have higher prices.
2. Num_Bedrooms: The number of bedrooms in the house. More bedrooms generally increase the value of a home.
3. Num_Bathrooms: The number of bathrooms in the house. Houses with more bathrooms are typically priced higher.
4. Year_Built: The year the house was built. Older houses may be priced lower due to wear and tear.
5. Lot_Size: The size of the lot the house is built on, measured in acres. Larger lots tend to add value to a property.
6. Garage_Size: The number of cars that can fit in the garage. Houses with larger garages are usually more expensive.
7. Neighborhood_Quality: A rating of the neighborhood’s quality on a scale of 1-10, where 10 indicates a high-quality neighborhood. Better neighborhoods usually command higher prices.
8. House_Price (Target Variable): The price of the house, which is the dependent variable you aim to predict.

Potential Uses:

1. Beginner Regression Projects: This dataset can be used to practice building regression models such as Linear Regression, Decision Trees, or Random Forests. The target variable (house price) is continuous, making this an ideal problem for supervised learning techniques.

2. Feature Engineering Practice: Learners can create new features by combining existing ones, such as the price per square foot or age of the house, providing an opportunity to experiment with feature transformations.

3. Exploratory Data Analysis (EDA): You can explore how different features (e.g., square footage, number of bedrooms) correlate with the target variable, making it a great dataset for learning about data visualization and summary statistics.

4. Model Evaluation: The dataset allows for various model evaluation techniques such as cross-validation, R-squared, and Mean Absolute Error (MAE). These metrics can be used to compare the effectiveness of different models.

Versatility:

• The dataset is highly versatile for a range of machine learning tasks. You can apply simple linear models to predict house prices based on one or two features, or use more complex models like Random Forest or Gradient Boosting Machines to understand interactions between variables.

• It can also be used for dimensionality reduction techniques like PCA or to practice handling categorical variables (e.g., neighborhood quality) through encoding techniques like one-hot encoding.

• This dataset is ideal for anyone wanting to gain practical experience in building regression models while working with real-world features.

Graph and download economic data for Housing Inventory: Price Increased Count in Rexburg, ID (CBSA) (PRIINCCOU39940) from Jul 2016 to Oct 2025 about Rexburg, ID, price, and USA.

In 2025, around ** percent of people said the higher prices were going to impact their plans on Valentine's and/ or Galentine's Day. ** percent of people said it would not change their plans.

House Price Index YoY in the United Kingdom increased to 1.90 percent in October from 1.30 percent in September of 2025. This dataset includes a chart with historical data for the United Kingdom House Price Index YoY.

House Price Index YoY in the United States decreased to 1.70 percent in September from 2.40 percent in August of 2025. This dataset includes a chart with historical data for the United States FHFA House Price Index YoY.

Key information about House Prices Growth

• UK house prices grew 1.8% YoY in Nov 2025, following an increase of 2.5% YoY in the previous month.
• YoY growth data is updated monthly, available from Jan 1992 to Nov 2025, with an average growth rate of -15.9%.
• House price data reached an all-time high of 26.4% in Jan 2003 and a record low of -17.5% in Feb 2009.

The price of paper is represented by a Bureau of Labor Statistics index that measures the prices received by paper manufacturers for their products. The index has a base year of 1982.

Housing Inventory: Price Increased Count Year-Over-Year in Madison, WI (CBSA) was -62.50% in October of 2025, according to the United States Federal Reserve. Historically, Housing Inventory: Price Increased Count Year-Over-Year in Madison, WI (CBSA) reached a record high of 400.00 in October of 2020 and a record low of -95.73 in June of 2019. Trading Economics provides the current actual value, an historical data chart and related indicators for Housing Inventory: Price Increased Count Year-Over-Year in Madison, WI (CBSA) - last updated from the United States Federal Reserve on December of 2025.

Housing Inventory: Price Increased Count Year-Over-Year in Lehigh County, PA was -66.67% in August of 2025, according to the United States Federal Reserve. Historically, Housing Inventory: Price Increased Count Year-Over-Year in Lehigh County, PA reached a record high of 1,400.00 in March of 2021 and a record low of -87.50 in February of 2023. Trading Economics provides the current actual value, an historical data chart and related indicators for Housing Inventory: Price Increased Count Year-Over-Year in Lehigh County, PA - last updated from the United States Federal Reserve on October of 2025.

This table includes the average increase of rent paid for dwellings in the Netherlands. It shows a breakdown regarding the rent change in- and excluding rent harmonisation. Another breakdown is for the commercial and non-commercial rent movements of dwellings. The rent change is given on an annual basis and is significant input for the housing price movements in the consumer price index.

Data available from: 2009

Status of the figures: All values are definite.

Frequency: Discontinued on 10 October 2011.

Housing Inventory: Price Increased Count Year-Over-Year in Citrus County, FL was -16.67% in September of 2025, according to the United States Federal Reserve. Historically, Housing Inventory: Price Increased Count Year-Over-Year in Citrus County, FL reached a record high of 400.00 in March of 2024 and a record low of -83.33 in December of 2019. Trading Economics provides the current actual value, an historical data chart and related indicators for Housing Inventory: Price Increased Count Year-Over-Year in Citrus County, FL - last updated from the United States Federal Reserve on November of 2025.

Housing Inventory: Price Increased Count Year-Over-Year in Washington County, MN was 11.11% in September of 2025, according to the United States Federal Reserve. Historically, Housing Inventory: Price Increased Count Year-Over-Year in Washington County, MN reached a record high of 316.67 in February of 2021 and a record low of -100.00 in September of 2023. Trading Economics provides the current actual value, an historical data chart and related indicators for Housing Inventory: Price Increased Count Year-Over-Year in Washington County, MN - last updated from the United States Federal Reserve on October of 2025.

Housing Inventory: Price Increased Count Year-Over-Year in Ada County, ID was -66.04% in October of 2025, according to the United States Federal Reserve. Historically, Housing Inventory: Price Increased Count Year-Over-Year in Ada County, ID reached a record high of 927.78 in September of 2020 and a record low of -85.61 in October of 2018. Trading Economics provides the current actual value, an historical data chart and related indicators for Housing Inventory: Price Increased Count Year-Over-Year in Ada County, ID - last updated from the United States Federal Reserve on November of 2025.

Graph and download economic data for Housing Inventory: Price Increased Count in Minneapolis-ST. Paul-Bloomington, MN-WI (CBSA) (PRIINCCOU33460) from Jul 2016 to Oct 2025 about Minneapolis, MN, WI, price, and USA.

The price of monoisopropylamine (MIPA) in the United States for Q4 2023 reached 1542 USD/MT in December. The prices climbed due to increased feedstock costs and intense market competition. Moreover, limited availability of MIPA across industries such as pharmaceuticals and agrochemicals, coupled with rising demand, pressured producers and traders. The resultant pricing adjustments reflected both supply constraints and the broader economic landscape, impacting profit margins.

Explore IMARC’s newly published report, titled “Monoisopropylamine (MIPA) Pricing Report 2024: Price Trend, Chart, Market Analysis, News, Demand, Historical and Forecast Data,” offers an in-depth analysis of monoisopropylamine (MIPA) pricing, covering an analysis of global and regional market trends and the critical factors driving these price movements.

This dataset contains the predicted prices of the asset Pepe Goes Higher over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

Key information about House Prices Growth

• Japan house prices grew 3.4% YoY in Aug 2025, following an increase of 4.7% YoY in the previous month.
• YoY growth data is updated monthly, available from Apr 2009 to Aug 2025, with an average growth rate of 1.3%.
• House price data reached an all-time high of 10.2% in Apr 2022 and a record low of -9.4% in Apr 2009.

In Q3 2025, North America, the Sodium Coco Sulphate Price Index increased quarter-over-quarter, driven by higher coconut oil feedstock costs. Check detailed insights for Europe and APAC.