The average price per square meter of properties in France as of ************* was higher for apartments than for houses. The price for apartments at the upper price point cost approximately ***** euros per square meter, while for houses it amounted to ***** euros per square meter.

Average House Price

Graph and download economic data for Average Price: Hard Candy, Solid (Cost per Pound/453.6 Grams) in U.S. City Average (APU0000715111) from Jan 1980 to Nov 1986 about other food items, retail, price, and USA.

Prices of Goods and Services: Avg: FN: Mandarin: Pakistani data was reported at 6.550 SAR/kg in Feb 2026. This records a decrease from the previous number of 6.860 SAR/kg for Jan 2026. Prices of Goods and Services: Avg: FN: Mandarin: Pakistani data is updated monthly, averaging 7.250 SAR/kg from Jan 2009 (Median) to Feb 2026, with 206 observations. The data reached an all-time high of 9.880 SAR/kg in Nov 2023 and a record low of 4.780 SAR/kg in Feb 2009. Prices of Goods and Services: Avg: FN: Mandarin: Pakistani data remains active status in CEIC and is reported by General Authority for Statistics. The data is categorized under Global Database’s Saudi Arabia – Table SA.P: Average Prices of Goods and Services. [COVID-19-IMPACT]

Get statistical data on weekly cattle prices in Ontario.

Data includes:

• Ontario large and medium frame feeder and fed cattle prices
• market price
• feed cost
• feeder steer margin

Statistical data are compiled to serve as a source of agriculture and food statistics for the province of Ontario. Data are prepared primarily by Statistics and Economics staff of the Ministry of Agriculture, Food and Agribusiness, in co-operation with the Agriculture Division of Statistics Canada and various government departments and farm marketing boards.

Prices of Goods and Services: Avg: FL: Cubes data was reported at 65.640 SAR/40 kg in Feb 2026. This records an increase from the previous number of 65.570 SAR/40 kg for Jan 2026. Prices of Goods and Services: Avg: FL: Cubes data is updated monthly, averaging 73.480 SAR/40 kg from Jun 2019 (Median) to Feb 2026, with 81 observations. The data reached an all-time high of 74.750 SAR/40 kg in Jul 2022 and a record low of 40.370 SAR/40 kg in Jun 2019. Prices of Goods and Services: Avg: FL: Cubes data remains active status in CEIC and is reported by General Authority for Statistics. The data is categorized under Global Database’s Saudi Arabia – Table SA.P: Average Prices of Goods and Services. [COVID-19-IMPACT]

Fresh whole milk, fortified, sold per gallon regardless of packaging type. Includes organic and non-organic milk."

This is the dataset of average housing prices in Ho Chi Minh City, Vietnam.

Data for districts 1 to 9.

Data collected from 2017 to 2022

Data in the form of Time Series Data for predicting house prices, holidays and weekends is not included in this dataset.

The Date column represents the transaction date Columns from District 1 to District 9 show the average transaction value per square meter.

With this data, data scientists can: - Compare house prices between districts by year - Forecast house prices in the future, can use singular spectrum analysis to analyze - Evaluate model quality with RMSE or equivalent measures

Update: HousePricingHCM_v2.csv is including holidays and weekends, We use replacing missing data by average transactions of the days before and after the holiday to fill in the missing data

As of February 2023, denim described with the keyword "hemp" was the most expensive, reaching an average cost of about *** U.S. dollars. Denim described as "organic" followed closely, nearly matching the cost of hemp denim.

United States - Average Price: Bread, White, Pan (Cost per Pound/453.6 Grams) in the South Census Region - Urban was 1.72400 Index in January of 2026, according to the United States Federal Reserve. Historically, United States - Average Price: Bread, White, Pan (Cost per Pound/453.6 Grams) in the South Census Region - Urban reached a record high of 1.87600 in January of 2024 and a record low of 0.44400 in June of 1980. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Average Price: Bread, White, Pan (Cost per Pound/453.6 Grams) in the South Census Region - Urban - last updated from the United States Federal Reserve on March of 2026.

United States - Average Price: Coffee, 100%, Ground Roast, All Sizes (Cost per Pound/453.6 Grams) in U.S. City Average was 9.36600 Index in January of 2026, according to the United States Federal Reserve. Historically, United States - Average Price: Coffee, 100%, Ground Roast, All Sizes (Cost per Pound/453.6 Grams) in U.S. City Average reached a record high of 9.36600 in January of 2026 and a record low of 2.35200 in January of 1993. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Average Price: Coffee, 100%, Ground Roast, All Sizes (Cost per Pound/453.6 Grams) in U.S. City Average - last updated from the United States Federal Reserve on February of 2026.

Graph and download economic data for Average Price: Beef Liver (Cost per Pound/453.6 Grams) in U.S. City Average (APU0000705141) from Jan 1980 to Oct 1988 about meat, retail, price, and USA.

Graph and download economic data for Housing Inventory: Average Listing Price in Corning, NY (CBSA) (AVELISPRI18500) from Jul 2016 to Feb 2026 about Corning, average, NY, listing, price, and USA.

Graph and download economic data for Housing Inventory: Average Listing Price in Altoona, PA (CBSA) (AVELISPRI11020) from Jul 2016 to Feb 2026 about Altoona, PA, average, listing, price, and USA.

• Objective: To predict the prices of houses in the City of Melbourne
• Approach: Using Decision Tree and Random Forest https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F10868729%2Ffc6fb7d0bd8e854daf7a6f033937a397%2FPicture1.png?generation=1693489996707941&alt=media" alt="">
• Data Cleaning:
• Date column is shown as a character vector which is converted into a date vector using the library ‘lubridate’
• We create a new column called age to understand the age of the house as it can be a factor in the pricing of the house. We extract the year from column ‘Date’ and subtract it from the column ‘Year Built’
• We remove 11566 records which have missing values
• We drop columns which are not significant such as ‘X’, ‘suburb’, ‘address’, (we have kept zipcode as it serves the purpose in place of suburb and address), ‘type’, ‘method’, ‘SellerG’, ‘date’, ‘Car’, ‘year built’, ‘Council Area’, ‘Region Name’
• We split the data into ‘train’ and ‘test’ in 80/20 ratio using the sample function
• Run libraries ‘rpart’, ‘rpart.plot’, ‘rattle’, ‘RcolorBrewer’
• Run decision tree using the rpart function. ‘Price’ is the dependent variable https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F10868729%2F6065322d19b1376c4a341a4f22933a51%2FPicture2.png?generation=1693490067579017&alt=media" alt="">
• Average price for 5464 houses is $1084349
• Where building area is less than 200.5, the average price for 4582 houses is $931445. Where building area is less than 200.5 & age of the building is less than 67.5 years, the avg price for 3385 houses is $799299.6.
• $4801538 is the Highest average prices of 13 houses where distance is lower than 5.35 & building are is >280.5
  https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F10868729%2F136542b7afb6f03c1890bae9b07dc464%2FDecision%20Tree%20Plot.jpeg?generation=1693490124083168&alt=media" alt="">
• We use the caret package for tuning the parameter and the optimal complexity parameter found is 0.01 with RMSE 445197.9 https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F10868729%2Feb1633df9dd61ba3a51574873b055fd0%2FPicture3.png?generation=1693490163033658&alt=media" alt="">
• We use library (Metrics) to find out the RMSE ($392107), MAPE (0.297) which means an accuracy of 99.70% and MAE ($272015.4)
• Variables ‘postcode’, longitude and building are the most important variables
• Test$Price indicates the actual price and test$predicted indicates the predicted price for particular 6 houses. https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F10868729%2F620b1aad968c9aee169d0e7371bf3818%2FPicture4.png?generation=1693490211728176&alt=media" alt="">
• We use the default parameters of random forest on the train data https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F10868729%2Fe9a3c3f8776ee055e4a1bb92d782e19c%2FPicture5.png?generation=1693490244695668&alt=media" alt="">
• The below image indicates that ‘Building Area’, ‘Age of the house’ and ‘Distance’ are the most important variables that affect the price of the house. https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F10868729%2Fc14d6266184db8f30290c528d72b9f6b%2FRandom%20Forest%20Variables%20Importance.jpeg?generation=1693490284920037&alt=media" alt="">
• Based on the default parameters, RMSE is $250426.2, MAPE is 0.147 (accuracy is 99.853%) and MAE is $151657.7
• Error starts to remain constant between 100 to 200 trees and thereafter there is almost minimal reduction. We can choose N tree=200. https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F10868729%2F365f9e8587d3a65805330889d22f9e60%2FNtree%20Plot.jpeg?generation=1693490308734539&alt=media" alt="">
• We tune the model and find mtry = 3 has the lowest out of bag error
• We use the caret package and use 5 fold cross validation technique
• RMSE is $252216.10 , MAPE is 0.146 (accuracy is 99.854%) , MAE is $151669.4
• We can conclude that Random Forest give us more accurate results as compared to Decision Tree
• In Random Forest , the default parameters (N tree = 500) give us lower RMSE and MAPE as compared to N tree = 200. So we can proceed with those parameters.

Prices of Goods and Services: Avg: BS: Oats Soup: Canned data was reported at 9.700 SAR/500 g in Feb 2026. This records a decrease from the previous number of 9.760 SAR/500 g for Jan 2026. Prices of Goods and Services: Avg: BS: Oats Soup: Canned data is updated monthly, averaging 8.510 SAR/500 g from Jan 2009 (Median) to Feb 2026, with 206 observations. The data reached an all-time high of 10.220 SAR/500 g in Nov 2024 and a record low of 7.390 SAR/500 g in Jan 2009. Prices of Goods and Services: Avg: BS: Oats Soup: Canned data remains active status in CEIC and is reported by General Authority for Statistics. The data is categorized under Global Database’s Saudi Arabia – Table SA.P: Average Prices of Goods and Services. [COVID-19-IMPACT]

Prior to 1974 the data was based on surveys of existing house sales in Dublin carried out by the Valuation Office on behalf of the D. O. E. Since 1974 the data has been based on information supplied by all lending agencies on the average price of mortgage financed existing house transactions. Average house prices are derived from data supplied by the mortgage lending agencies on loans approved by them rather than loans paid. In comparing house prices figures from one period to another, account should be taken of the fact that changes in the mix of houses (incl apartments) will affect the average figures. Data for 1969/1970 is not available for Cork, Limerick, Galway, Waterford and Other areas 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. National and Other Areas figure changed for 2015 on 27/6/15 as revised data received from Local Authorities Prices includes houses and apartments measured in € .hidden { display: none } Public Dashboards No dashboard exists for this dataset.

Dataset

This dataset was created by Hasan Taylan

Released under Apache 2.0

Contents

The average price for student housing in the U.S. was the highest for properties closest to the campus in 2024. Student housing located within a ***-mile radius of the campus cost on average *** thousand U.S. dollars per bed. Prices further away from the campus were more affordable. Properties more than *** miles away, for example, had an average price of ***** thousand U.S. dollars per bed.