Data
US-Real-Estate-Listings-by-Zip-Code

US-Real-Estate-Listings-by-Zip-Code

active ARFF CC0: Public Domain Visibility: public Uploaded 24-03-2022 by Dustin Carrion
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes
  • Computer Systems Machine Learning
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
Context Real Estate inventory of listings from 2012-2017 Content Includes data for all Real Estate listings in the US, such as, active listings, prices, days on market, price changes, and pending listings by county. Median Listing Price: The median listing price within the specified geography during the specified month. Active Listing Count: The count of active listings within the specified geography during the specified month. The active listing count tracks the number of for sale properties on the market, excluding pending listings where a pending status is available. This is a snapsot measure of how many active listings can be expected on any given day of the specified month. Median Days on Market: The median number of days property listings spend on the market within the specified geography during the specified month. Time spent on the market is defined as the time between the initial listing of a property and either its closing date or the date it is taken off the market. New Listing Count: The count of new listings added to the market within the specified geography. The new listing count represents a typical weeks worth of new listings in a given month. The new listing count can be multiplied by the number of weeks in a month to produce a monthly new listing count. Price Increase Count: The count of listings which have had their price increased within the specified geography. The price increase count represents a typical weeks worth of listings which have had their price increased in a given month. The price increase count can be multiplied by the number of weeks in a month to produce a monthly price increase count. Pending Listing Count: The count of pending listings within the specified geography during the specified month, if a pending definition is available for that geography. This is a snapsot measure of how many pending listings can be expected on any given day of the specified month. Acknowledgements This data set and other similar (including details on all columns) can be found here: Realtor.com Inspiration I downloaded this data to research it and make a best decision when buying a home in Austin, TX.

34 features

Monthstring66 unique values
0 missing
ZipCodenumeric15035 unique values
1 missing
ZipNamestring10655 unique values
1 missing
Footnotestring1 unique values
725924 missing
Median_Listing_Pricenumeric14660 unique values
1 missing
Median_Listing_Price_M/Mnumeric9851 unique values
1 missing
Median_Listing_Price_Y/Ynumeric8892 unique values
330040 missing
Active_Listing_Count_numeric1415 unique values
1 missing
Active_Listing_Count_M/Mnumeric9331 unique values
190 missing
Active_Listing_Count_Y/Ynumeric11680 unique values
306816 missing
Days_on_Market_numeric728 unique values
30 missing
Days_on_Market_M/Mnumeric12119 unique values
42 missing
Days_on_Market_Y/Ynumeric13376 unique values
312931 missing
New_Listing_Count_numeric209 unique values
1 missing
New_Listing_Count_M/Mnumeric4472 unique values
44521 missing
New_Listing_Count_Y/Ynumeric4241 unique values
200298 missing
Price_Increase_Count_numeric65 unique values
1 missing
Price_Increase_Count_M/Mnumeric600 unique values
762795 missing
Price_Increase_Count_Y/Ynumeric553 unique values
794835 missing
Price_Decrease_Count_numeric182 unique values
1 missing
Price_Decrease_Count_M/Mnumeric2950 unique values
105942 missing
Price_Decrease_Count_Y/Ynumeric3273 unique values
250293 missing
Pending_Listing_Count_numeric360 unique values
1 missing
Pending_Listing_Count_M/Mnumeric6968 unique values
678964 missing
Pending_Listing_Count_Y/Ynumeric9669 unique values
779758 missing
Avg_Listing_Pricenumeric27184 unique values
1 missing
Avg_Listing_Price_M/Mnumeric9626 unique values
1 missing
Avg_Listing_Price_Y/Ynumeric18213 unique values
165899 missing
Total_Listing_Countnumeric1466 unique values
1 missing
Total_Listing_Count_M/Mnumeric9380 unique values
190 missing
Total_Listing_Count_Y/Ynumeric17228 unique values
166076 missing
Pending_Rationumeric11214 unique values
207 missing
Pending_Ratio_M/Mnumeric11898 unique values
219 missing
Pending_Ratio_Y/Ynumeric19335 unique values
166147 missing

19 properties

974066
Number of instances (rows) of the dataset.
34
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
5792129
Number of missing values in the dataset.
974066
Number of instances with at least one value missing.
31
Number of numeric attributes.
0
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
91.18
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
100
Percentage of instances having missing values.
Average class difference between consecutive instances.
17.49
Percentage of missing values.

0 tasks

Define a new task