Introduction
Analysis of the Real Estate Data
Analysis of the Real Estate Data
The real estate dataset was compiled using Zillow research data and U.S. Bureau Census. The dataset contains information on property sales, rents, and listing prices from 2014 to 2021. We also used US census data from 2014 to 2021.
A smoothed, seasonally adjusted measure of the typical home value and market changes across a given region and housing type. It reflects the typical value for homes in the 35th to 65th percentile range. A smoothed measure of the typically observed market-rate rent across a given region.
The Sales Count Nowcast is the estimated number of unique properties that are sold during the month after accounting for the latency between when sales occur and when they are reported. Available only for the raw cut of all homes.
Share of Listings With a Price Cut: The number of unique properties with a list price at the end of the month that’s less than the list price at the beginning of the month, divided by the number of unique properties with an active listing at some point during the month.
Price Cuts: The mean and median price cut for listings in a given region during a given time period, expressed as both dollars ($) and as a percentage (%) of list price.
Project Objectives:
What are the trends in real estate from 2014 to 2021 and what the future of real estate holds in USA?
Analysing the new property listings by top tier cities in the America.
Analysing the rent index from 2014 to 2021 for different cities and latest year for the states.
Which region in united states have more return on investment in real estate?
Assessing home values in different states of the United States from 2014 to 2021.
Studying people preferences (Houseownership v/s Renting) for better understanding in real estate.