In this episode, we are joined by The Mad Scientist of Multifamily himself, and the ONLY Neal Bawa in the world wide web. We are crunching down the numbers with Neal and his diabolical quest to find out what are the best cities to invest in. But Neal is less about lab coats and glass jars, instead, he is more of a Silicon Valley data scientist with a-rockin' hairdo.

He shares to us what data and factors they’ve analyzed and what they came up with is nothing short of magic, aptly called Location Magic. Where Neal scraped all the relevant population and city data, put them together, and pressed the big red button. What came out are FIVE major factors in determining what makes a city a great investment. And oh boy, you wouldn’t want to miss this.

Data has never been more available than today. It is only wise to consider what the numbers say when making major investments, otherwise, it just becomes gambling. So, if you are an investor that looks at data before deciding, then this episode is for you!

In this episode, we explore:

01:43 – The Mad Scientist of Multifamily

02:33 – Location Magic and Data-driven Real Estate

03:47 – The Best Place to Invest changes every year

05:30 – What data and factors influence profit

07:36 – The Five Factors

09:05 – Population growth and rent spike

13:54 – 35.2% Median household income bet 2000-19

15:22 – Rule of thumb: Cities change over decades

20:37 – The momentum factor: Jobs for the last 12 months

22:42 – Look for 47% increase in home pricing

24:24 – Crime index should be lower than 500

25:26 – Declining crime increases profit

27:33 – For multifamily, school is not as important as crime rate reduction

28:18 – The BIG parameter: Job Growth

28:52 – 2% Job growth and the momentum in major US cities

31:48 – The only Neil Bawa and Location Magic

Connecting with the Guest:

Website: http://nealbawa.com/

Location Magic: https://multifamilyu.com/lp/location-magic-ecourse/
Resources mentioned:
https://www.housingalerts.com/

https://www.localmarketmonitor.com/in-the-news/

https://www.city-data.com/

#datadriven

#Multifamily

#Realestate