Name: Real Estate Sales 2001-2020
Creator: Kaggle
License: https://www.apache.org/licenses/

About this Dataset

Real Estate Sales 2001-2020

Here's a short description of the dataset:

Serial Number: Is just a unique set of digits to identify each transaction

List year: This is the year that the particular property was put up for sale.

Date Recorded: Is the date that the transaction was completed. That is, the year the property was bought.

Town: The town where this property is located.

Address: The property's address.

Assessed Value: How much the property is generally considered to be worth.

Sale Amount: How much the property was actually sold for.

Sales Ratio: The ratio measures how close the selling price of the property is to it's assessed value.

Property Type: What kind of property it is.

Residential Type: If it is a residential property, what type is it.

Years until sold: Number of years before the property was finally sold

This dataset can be used for analysis and even machine learning projects. For those doing analysis, I invite you to try and answer these questions:

Average assessed value of properties from year to year?
Average sale amount of properties from year to year?
Average sales ratio of properties from year to year?
How long, on average, did it take for the different property types to get sold?
How long, on average, did it take for the different residential types to get sold?
Which towns saw the most property sales in 2021?

For those more interested in using this dataset in machine learning projects to forecast future property prices, I invite you also. Let's learn from your work.

Tables

Real Estate Sales 2001–2020 Gl

@kaggle.derrekdevon_real_estate_sales_2001_2020.real_estate_sales_2001_2020_gl

30.76 MB
997,213 rows
11 columns

CREATE TABLE real_estate_sales_2001_2020_gl (
  "serial_number" BIGINT,
  "list_year" BIGINT,
  "date_recorded" TIMESTAMP,
  "town" VARCHAR,
  "address" VARCHAR,
  "assessed_value" BIGINT,
  "sale_amount" DOUBLE,
  "sales_ratio" DOUBLE,
  "property_type" VARCHAR,
  "residential_type" VARCHAR,
  "years_until_sold" BIGINT
);