Location Analysis Method

Location Analysis Method

Youngstown OH · Member since 2016 · 13 posts · 10 votes

Greetings all,

We’ve all read methods on how to analyze a real estate deal, running numbers, estimating rehab costs, incorporating taxes, capital expenses, etc. How much time and effort do we put into analyzing the location of the property in comparison? How do we know that diamond deal with all the right numbers is the worst house in the best neighborhood, and not the worst house in the worst neighborhood? Some of the only methods Ive come across involve simply looking at the age of the homes in the neighborhood or comparing the amount of development in the area to surrounding areas. I’ve always found these methods lacking, based in intuition or guesswork instead of any objective assessment. There had to be a better way. After several years of studying and trying different methods, I’ve cracked the code. A couple notes:

1. This methodology uses a handful of actual data to create a ‘Demand Ratio’ for the neighborhood the property is located in. The ratio itself matters little until compared to surrounding areas, only then revealing which areas are more or less desirable than others. Because this is information on the neighborhood and not the property, a location can be analyzed using the info without ever having to see the property or knowing anything about the area. 
2. This methodology does not take in consideration the demographics of people who live there, nor crime rates for the area. Age, Race, Familial Status, etc, are irrelevant. Generally speaking, as crime rates trend down, the demand ratio often trends upward, but it is not a given. Because this method disregards demographics, it could reveal areas still suffering from the aftermath of redlining that would be prime targets for revitalization and investment.

3. With this methodology, high real estate prices and high turnover in properties do not equal A neighborhoods. Like crime rates, generally speaking, the higher the value of the real estate, the higher the demand ratio, but not always, and not even a large majority of the time. We all remember what happened in 2008, how do you know that $1 million dream home isn’t a McMansion worth half that, and one you won’t be able to resell? High price + Low Grade = Bubble

Low price + High Grade = Opportunity 


Ive told a few brokers I know about the method, all who acted interested but didn’t necessarily understand. They are your stereotypical ‘salesman’ type brokers, more about just selling any and all homes than they are studying the markets. Thats why I decided to bring it here. 
For now, free time allowing, I would like to take the opportunity to use my methodology to give my free opinion on locations for you. I simply need a location, and I can provide a report comparing it to surrounding areas and determine whether it has a better or worse chance of appreciating compared to said areas. In addition to doing specific addresses, I can also compare zip codes, cities, counties, or states. For example, I can tell you Hawaii has the highest grade of any state, and Iowa the lowest. However there are plenty of areas in Iowa that are better than plenty of places in Hawaii. Wouldn’t you love to know which are which? I can also answer questions further explaining my methodology. I seek only feedback, thoughts, and perhaps constructive critiques.
Looking forward to hearing back and doing my first location analyses for you all! 

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Real Estate Broker · Cleveland Dayton Cincinnati Toledo Columbus & Akron, OH · Member since 2013 · 31k+ posts · 20k+ votes
2y
Quote from @Alexander Blake Summers:

Greetings all,

We’ve all read methods on how to analyze a real estate deal, running numbers, estimating rehab costs, incorporating taxes, capital expenses, etc. How much time and effort do we put into analyzing the location of the property in comparison? How do we know that diamond deal with all the right numbers is the worst house in the best neighborhood, and not the worst house in the worst neighborhood? Some of the only methods Ive come across involve simply looking at the age of the homes in the neighborhood or comparing the amount of development in the area to surrounding areas. I’ve always found these methods lacking, based in intuition or guesswork instead of any objective assessment. There had to be a better way. After several years of studying and trying different methods, I’ve cracked the code. A couple notes:

1. This methodology uses a handful of actual data to create a ‘Demand Ratio’ for the neighborhood the property is located in. The ratio itself matters little until compared to surrounding areas, only then revealing which areas are more or less desirable than others. Because this is information on the neighborhood and not the property, a location can be analyzed using the info without ever having to see the property or knowing anything about the area. 
2. This methodology does not take in consideration the demographics of people who live there, nor crime rates for the area. Age, Race, Familial Status, etc, are irrelevant. Generally speaking, as crime rates trend down, the demand ratio often trends upward, but it is not a given. Because this method disregards demographics, it could reveal areas still suffering from the aftermath of redlining that would be prime targets for revitalization and investment.

3. With this methodology, high real estate prices and high turnover in properties do not equal A neighborhoods. Like crime rates, generally speaking, the higher the value of the real estate, the higher the demand ratio, but not always, and not even a large majority of the time. We all remember what happened in 2008, how do you know that $1 million dream home isn’t a McMansion worth half that, and one you won’t be able to resell? High price + Low Grade = Bubble

Low price + High Grade = Opportunity 


Ive told a few brokers I know about the method, all who acted interested but didn’t necessarily understand. They are your stereotypical ‘salesman’ type brokers, more about just selling any and all homes than they are studying the markets. Thats why I decided to bring it here. 
For now, free time allowing, I would like to take the opportunity to use my methodology to give my free opinion on locations for you. I simply need a location, and I can provide a report comparing it to surrounding areas and determine whether it has a better or worse chance of appreciating compared to said areas. In addition to doing specific addresses, I can also compare zip codes, cities, counties, or states. For example, I can tell you Hawaii has the highest grade of any state, and Iowa the lowest. However there are plenty of areas in Iowa that are better than plenty of places in Hawaii. Wouldn’t you love to know which are which? I can also answer questions further explaining my methodology. I seek only feedback, thoughts, and perhaps constructive critiques.
Looking forward to hearing back and doing my first location analyses for you all! 


 Sounds like you're aiming to make some type of algorithm or software that tries to eliminate the need of competent real estate people utilizing their experience in markets they are very familiar with..........Didn't Zillow lose about $500 Million flipping houses using this exact type of model? 

See this reply in the discussion

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  • Nathan GesnerBusiness Member
    Moderator
    Real Estate Broker · Cody, WY · Member since 2010 · 28k+ posts · 41k+ votes
    2y

    I'm not big on analysis, data crunching, building spreadsheets, and all that jazz. Maybe your offer will be more attractive to others.

    I'm not poo-pooing your idea, but I am skeptical enough that I won't ask for an analysis of a particular market. Crime rates and familial status don't matter? All of history says otherwise. Hawaii is better than Iowa? I suppose that depends. Do you have enough money to buy in a market where the median home price is 3x the average? Can you patiently wait for appreciation? Can you afford to live in Hawaii and self-manage, or do you have to hire a property manager when the good ones are extremely difficult to find? And does your calculation take into consideration the fact that an entire town can burn down, and the only assistance the government will give you is a $700 gift card? LOL!

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  • Youngstown OH · Member since 2016 · 13 posts · 10 votes
    2y
    Quote from @Nathan Gesner:

    I'm not big on analysis, data crunching, building spreadsheets, and all that jazz. Maybe your offer will be more attractive to others.

    I'm not poo-pooing your idea, but I am skeptical enough that I won't ask for an analysis of a particular market. Crime rates and familial status don't matter? All of history says otherwise. Hawaii is better than Iowa? I suppose that depends. Do you have enough money to buy in a market where the median home price is 3x the average? Can you patiently wait for appreciation? Can you afford to live in Hawaii and self-manage, or do you have to hire a property manager when the good ones are extremely difficult to find? And does your calculation take into consideration the fact that an entire town can burn down, and the only assistance the government will give you is a $700 gift card? LOL!

    Hi Nathan, thanks for taking time out of your day to give me your feedback, and for giving me an opportunity to clarify a few things! You bring up several great points and I understand the skepticism. Also, LOL at note on the fires, also a great point. There are certain things the method does and doesn’t do. No, my calculations do not take into account natural disasters or acts of God, but it could tell you which towns would have the best chance of being rebuilt due to the desirability of their locations. This method is less a way of analyzing independent deals and more about comparing markets. I do not mean to imply crime rates and familial status don’t matter for an investment decision, only that this method doesn’t take it into account directly. However, you will find that generally the lower the crime rates the better the potential for the location. It is true many people cannot afford to buy in Hawaii. I myself chose the suburbs of Youngstown Ohio to get started in, statistically one of the least desirable metros in the nation. However using my method, I can find the diamonds in the rough for a fraction of the price of a spot in Hawaii. I wasn’t trying to look down on Iowa, quite the opposite. I was pointing out that though, on average, Hawaii has some of the most in-demand real estate in the nation, that doesn’t make it all good, and you could find some much better areas in Iowa, or Ohio, for a much better deal. Also, because it uses only numbers, it is ideal for out of town investors who would like to know which areas have the most potential but have never been there. For example, if I were hypothetically looking for real estate in Wyoming, knowing next to nothing about it as a simple Ohioan, I would see after a quick glance that Park County is one of the best counties in the state, though it appears the crown for best real estate would have to go to neighboring Teton County. Sheridan, Albany, and Johnson counties would also be good options. I also see that if I were to invest in Park County, the best zip codes appear to be Wapiti followed by Ralston, however it appears few people live there, making supply scarce. Therefore, the nearby city of Cody would be one of the best options in one of the better counties in the state. 

  • Michael BorgerPro Member
    Rehabber · San Diego, CA · Member since 2010 · 502 posts · 208 votes
    2y
    Quote from @Alexander Blake Summers:
    Quote from @Nathan Gesner:

    I'm not big on analysis, data crunching, building spreadsheets, and all that jazz. Maybe your offer will be more attractive to others.

    I'm not poo-pooing your idea, but I am skeptical enough that I won't ask for an analysis of a particular market. Crime rates and familial status don't matter? All of history says otherwise. Hawaii is better than Iowa? I suppose that depends. Do you have enough money to buy in a market where the median home price is 3x the average? Can you patiently wait for appreciation? Can you afford to live in Hawaii and self-manage, or do you have to hire a property manager when the good ones are extremely difficult to find? And does your calculation take into consideration the fact that an entire town can burn down, and the only assistance the government will give you is a $700 gift card? LOL!

    Hi Nathan, thanks for taking time out of your day to give me your feedback, and for giving me an opportunity to clarify a few things! You bring up several great points and I understand the skepticism. Also, LOL at note on the fires, also a great point. There are certain things the method does and doesn’t do. No, my calculations do not take into account natural disasters or acts of God, but it could tell you which towns would have the best chance of being rebuilt due to the desirability of their locations. This method is less a way of analyzing independent deals and more about comparing markets. I do not mean to imply crime rates and familial status don’t matter for an investment decision, only that this method doesn’t take it into account directly. However, you will find that generally the lower the crime rates the better the potential for the location. It is true many people cannot afford to buy in Hawaii. I myself chose the suburbs of Youngstown Ohio to get started in, statistically one of the least desirable metros in the nation. However using my method, I can find the diamonds in the rough for a fraction of the price of a spot in Hawaii. I wasn’t trying to look down on Iowa, quite the opposite. I was pointing out that though, on average, Hawaii has some of the most in-demand real estate in the nation, that doesn’t make it all good, and you could find some much better areas in Iowa, or Ohio, for a much better deal. Also, because it uses only numbers, it is ideal for out of town investors who would like to know which areas have the most potential but have never been there. For example, if I were hypothetically looking for real estate in Wyoming, knowing next to nothing about it as a simple Ohioan, I would see after a quick glance that Park County is one of the best counties in the state, though it appears the crown for best real estate would have to go to neighboring Teton County. Sheridan, Albany, and Johnson counties would also be good options. I also see that if I were to invest in Park County, the best zip codes appear to be Wapiti followed by Ralston, however it appears few people live there, making supply scarce. Therefore, the nearby city of Cody would be one of the best options in one of the better counties in the state. 


    Cody has a population of 10,000 - how do you make that worth the resources required to find (and manage) deals? Is proximity to Yellowstone enough?

  • Real Estate Broker · Cleveland Dayton Cincinnati Toledo Columbus & Akron, OH · Member since 2013 · 31k+ posts · 20k+ votes
    2y
    Quote from @Alexander Blake Summers:

    Greetings all,

    We’ve all read methods on how to analyze a real estate deal, running numbers, estimating rehab costs, incorporating taxes, capital expenses, etc. How much time and effort do we put into analyzing the location of the property in comparison? How do we know that diamond deal with all the right numbers is the worst house in the best neighborhood, and not the worst house in the worst neighborhood? Some of the only methods Ive come across involve simply looking at the age of the homes in the neighborhood or comparing the amount of development in the area to surrounding areas. I’ve always found these methods lacking, based in intuition or guesswork instead of any objective assessment. There had to be a better way. After several years of studying and trying different methods, I’ve cracked the code. A couple notes:

    1. This methodology uses a handful of actual data to create a ‘Demand Ratio’ for the neighborhood the property is located in. The ratio itself matters little until compared to surrounding areas, only then revealing which areas are more or less desirable than others. Because this is information on the neighborhood and not the property, a location can be analyzed using the info without ever having to see the property or knowing anything about the area. 
    2. This methodology does not take in consideration the demographics of people who live there, nor crime rates for the area. Age, Race, Familial Status, etc, are irrelevant. Generally speaking, as crime rates trend down, the demand ratio often trends upward, but it is not a given. Because this method disregards demographics, it could reveal areas still suffering from the aftermath of redlining that would be prime targets for revitalization and investment.

    3. With this methodology, high real estate prices and high turnover in properties do not equal A neighborhoods. Like crime rates, generally speaking, the higher the value of the real estate, the higher the demand ratio, but not always, and not even a large majority of the time. We all remember what happened in 2008, how do you know that $1 million dream home isn’t a McMansion worth half that, and one you won’t be able to resell? High price + Low Grade = Bubble

    Low price + High Grade = Opportunity 


    Ive told a few brokers I know about the method, all who acted interested but didn’t necessarily understand. They are your stereotypical ‘salesman’ type brokers, more about just selling any and all homes than they are studying the markets. Thats why I decided to bring it here. 
    For now, free time allowing, I would like to take the opportunity to use my methodology to give my free opinion on locations for you. I simply need a location, and I can provide a report comparing it to surrounding areas and determine whether it has a better or worse chance of appreciating compared to said areas. In addition to doing specific addresses, I can also compare zip codes, cities, counties, or states. For example, I can tell you Hawaii has the highest grade of any state, and Iowa the lowest. However there are plenty of areas in Iowa that are better than plenty of places in Hawaii. Wouldn’t you love to know which are which? I can also answer questions further explaining my methodology. I seek only feedback, thoughts, and perhaps constructive critiques.
    Looking forward to hearing back and doing my first location analyses for you all! 


     Sounds like you're aiming to make some type of algorithm or software that tries to eliminate the need of competent real estate people utilizing their experience in markets they are very familiar with..........Didn't Zillow lose about $500 Million flipping houses using this exact type of model? 

  • Youngstown OH · Member since 2016 · 13 posts · 10 votes
    2y
    Quote from @Michael Borger:
    Quote from @Alexander Blake Summers:
    Quote from @Nathan Gesner:

    I'm not big on analysis, data crunching, building spreadsheets, and all that jazz. Maybe your offer will be more attractive to others.

    I'm not poo-pooing your idea, but I am skeptical enough that I won't ask for an analysis of a particular market. Crime rates and familial status don't matter? All of history says otherwise. Hawaii is better than Iowa? I suppose that depends. Do you have enough money to buy in a market where the median home price is 3x the average? Can you patiently wait for appreciation? Can you afford to live in Hawaii and self-manage, or do you have to hire a property manager when the good ones are extremely difficult to find? And does your calculation take into consideration the fact that an entire town can burn down, and the only assistance the government will give you is a $700 gift card? LOL!

    Hi Nathan, thanks for taking time out of your day to give me your feedback, and for giving me an opportunity to clarify a few things! You bring up several great points and I understand the skepticism. Also, LOL at note on the fires, also a great point. There are certain things the method does and doesn’t do. No, my calculations do not take into account natural disasters or acts of God, but it could tell you which towns would have the best chance of being rebuilt due to the desirability of their locations. This method is less a way of analyzing independent deals and more about comparing markets. I do not mean to imply crime rates and familial status don’t matter for an investment decision, only that this method doesn’t take it into account directly. However, you will find that generally the lower the crime rates the better the potential for the location. It is true many people cannot afford to buy in Hawaii. I myself chose the suburbs of Youngstown Ohio to get started in, statistically one of the least desirable metros in the nation. However using my method, I can find the diamonds in the rough for a fraction of the price of a spot in Hawaii. I wasn’t trying to look down on Iowa, quite the opposite. I was pointing out that though, on average, Hawaii has some of the most in-demand real estate in the nation, that doesn’t make it all good, and you could find some much better areas in Iowa, or Ohio, for a much better deal. Also, because it uses only numbers, it is ideal for out of town investors who would like to know which areas have the most potential but have never been there. For example, if I were hypothetically looking for real estate in Wyoming, knowing next to nothing about it as a simple Ohioan, I would see after a quick glance that Park County is one of the best counties in the state, though it appears the crown for best real estate would have to go to neighboring Teton County. Sheridan, Albany, and Johnson counties would also be good options. I also see that if I were to invest in Park County, the best zip codes appear to be Wapiti followed by Ralston, however it appears few people live there, making supply scarce. Therefore, the nearby city of Cody would be one of the best options in one of the better counties in the state. 


    Cody has a population of 10,000 - how do you make that worth the resources required to find (and manage) deals? Is proximity to Yellowstone enough?

    Hi Michael,
    I used Cody as an example as I saw Nathan was from Wyoming and was curious on his opinion of the rankings. However, after a little more research: 
    It appears proximity to Yellowstone is one of the biggest contributors for its grading. While it only has 10,000 people, cities and towns appear to only get smaller the closer you get to the park, making Cody a good spot for travelers and tourists, Id imagine, along with being a great target for the tourism industry. Its meager 10,000 population also makes it the 11th largest city in WY, so if WY is my target market, its actually one of the larger markets in this sparsely populated state. Throw in the fact its a county seat, has access to not only rail, but regional air, three US highways, two state routes and a state park, and I would wager there should be many more than 10,000 people there. Id project Cody to continue growing in population and appreciating nicely for the foreseeable future. 
    However, the method works just as well for comparing large markets as it does small. 
  • Youngstown OH · Member since 2016 · 13 posts · 10 votes
    2y
    Quote from @James Wise:
    Quote from @Alexander Blake Summers:

    Greetings all,

    We’ve all read methods on how to analyze a real estate deal, running numbers, estimating rehab costs, incorporating taxes, capital expenses, etc. How much time and effort do we put into analyzing the location of the property in comparison? How do we know that diamond deal with all the right numbers is the worst house in the best neighborhood, and not the worst house in the worst neighborhood? Some of the only methods Ive come across involve simply looking at the age of the homes in the neighborhood or comparing the amount of development in the area to surrounding areas. I’ve always found these methods lacking, based in intuition or guesswork instead of any objective assessment. There had to be a better way. After several years of studying and trying different methods, I’ve cracked the code. A couple notes:

    1. This methodology uses a handful of actual data to create a ‘Demand Ratio’ for the neighborhood the property is located in. The ratio itself matters little until compared to surrounding areas, only then revealing which areas are more or less desirable than others. Because this is information on the neighborhood and not the property, a location can be analyzed using the info without ever having to see the property or knowing anything about the area. 
    2. This methodology does not take in consideration the demographics of people who live there, nor crime rates for the area. Age, Race, Familial Status, etc, are irrelevant. Generally speaking, as crime rates trend down, the demand ratio often trends upward, but it is not a given. Because this method disregards demographics, it could reveal areas still suffering from the aftermath of redlining that would be prime targets for revitalization and investment.

    3. With this methodology, high real estate prices and high turnover in properties do not equal A neighborhoods. Like crime rates, generally speaking, the higher the value of the real estate, the higher the demand ratio, but not always, and not even a large majority of the time. We all remember what happened in 2008, how do you know that $1 million dream home isn’t a McMansion worth half that, and one you won’t be able to resell? High price + Low Grade = Bubble

    Low price + High Grade = Opportunity 


    Ive told a few brokers I know about the method, all who acted interested but didn’t necessarily understand. They are your stereotypical ‘salesman’ type brokers, more about just selling any and all homes than they are studying the markets. Thats why I decided to bring it here. 
    For now, free time allowing, I would like to take the opportunity to use my methodology to give my free opinion on locations for you. I simply need a location, and I can provide a report comparing it to surrounding areas and determine whether it has a better or worse chance of appreciating compared to said areas. In addition to doing specific addresses, I can also compare zip codes, cities, counties, or states. For example, I can tell you Hawaii has the highest grade of any state, and Iowa the lowest. However there are plenty of areas in Iowa that are better than plenty of places in Hawaii. Wouldn’t you love to know which are which? I can also answer questions further explaining my methodology. I seek only feedback, thoughts, and perhaps constructive critiques.
    Looking forward to hearing back and doing my first location analyses for you all! 


     Sounds like you're aiming to make some type of algorithm or software that tries to eliminate the need of competent real estate people utilizing their experience in markets they are very familiar with..........Didn't Zillow lose about $500 Million flipping houses using this exact type of model? 


     Im sure they probably did, I’ve seen their ‘Zestimates’ and they don’t make much sense to me. How many people lost money trying to invent the lightbulb before Edison I wonder? 
    And there’s no replacement for a real estate professional. Imagine my method a way of appraising companies instead of locations. The majority of people still need a financial professional to read that data and apply it. 
    Anyway, glad to see a fellow Ohioan. Your listed markets are the ones I know the most about. Care to humor me and give me a spot to analyze? 
    For example, here are the ten best counties in Ohio, ranked 1-10

    Athens

    Holmes

    Geauga

    Hamilton

    Franklin

    Portage

    Cuyahoga

    Wood

    Wayne

    Butler

  • Member since 2019 · 2 posts · 0 votes
    2y

    Hi Alexander. Let's look at Waco, TX. What you got?

  • Investor · Willow Spring, NC · Member since 2009 · 5k+ posts · 3k+ votes
    2y

    Meant to be a constructive post, not critical. BTW - I'm not currently buying in this market.

    Regarding "After several years of studying and trying different methods, I’ve cracked the code." The code for what? Or for whom? I can think of buyer-type: flipper, owner-occupied, STR, Buy-and-Hold LTR, rehabber, wholesaler. Most buyers, but not all, are looking for discounts to "market value." Some buyers (think Cary NC in the 1990s) are looking for attributes not related to economic value, like: common areas, access to public transportation, proximity to parks, etc.

    So, I'll ask the obvious: what is your definition of ‘Demand Ratio’? And demand for what? 

    I can disclose my 'algorithm'. I use property data sets in doing analysis in Wake County NC. From the 434,294 property records of my last (kinda old) snapshot, using a variety of property-centric heuristics I can generally find what I want to target, defining my TAM (Total Available Market) for my type of investing*. My TAM was roughly 3% of the 434,294 "market" and of that, my target market was property tagged with Substitute Trustee (S-TR) filings, bank REOs, or HUD resales. So << 1% of TAM any given year. And, yes, I get "targets" IDed by computer programs I wrote.

    You should just identify your methods. More power to you if you have some "code" 100s or 1,000s of REI (a bunch of them are here in BP Nation) with software engineering degrees haven't figured out. I figured it out in my market decades ago. I know it is in my small geographic area. But I like my little box. I'm not a biggie, having only bought about 80 properties. But I'll stay in my box.

    Notes: * - My investing: generational (long-term 20+yr) rental holds, "starter home", 1978+, SI (Stability Index) > 90, CI (Confidence Index) > 90

  • Austin, TX · Member since 2019 · 5k+ posts · 5k+ votes
    2y

    Deal shark swimming through the dark cold waters.

    Looking for its next meal.

    Deal shark doesn't look for a particular water area to feed in- deal shark looks for a particular type of meal.

    Deal sharks can eat its meal in any water he finds it in.

    The question simply becomes does deal shark want to manage the property in that neighborhood given the fact that most of your renters will come from about a mile and a half at most away.

    That is why crime is an important aspect of this. If most of your potential renters renters view the area as a crime area, desirability will be lower and they may move a mile and a half in the other direction from where they are now with less crime. Forcing rents to lower in your area.

    The Big Three to watch out for are rape, robbery and murder.

    And you're bio you say you want to fix up your town, vs being a landlord And putting the shark bite on the renters for the rent every month. If this is done on a larger scale it is called gentrification.

    If your area is really bad, and your town is rather small, you might want to talk to your city council type people, and ask for citywide tax abatements on property taxes for people who fix up run down homes- perhaps for something like 7 years, or even 10 years if that's what it takes to get the job done.

    Just my 2 cents.

  • Real Estate Broker · Cleveland Dayton Cincinnati Toledo Columbus & Akron, OH · Member since 2013 · 31k+ posts · 20k+ votes
    2y
    Quote from @Alexander Blake Summers:
    Quote from @James Wise:
    Quote from @Alexander Blake Summers:

    Greetings all,

    We’ve all read methods on how to analyze a real estate deal, running numbers, estimating rehab costs, incorporating taxes, capital expenses, etc. How much time and effort do we put into analyzing the location of the property in comparison? How do we know that diamond deal with all the right numbers is the worst house in the best neighborhood, and not the worst house in the worst neighborhood? Some of the only methods Ive come across involve simply looking at the age of the homes in the neighborhood or comparing the amount of development in the area to surrounding areas. I’ve always found these methods lacking, based in intuition or guesswork instead of any objective assessment. There had to be a better way. After several years of studying and trying different methods, I’ve cracked the code. A couple notes:

    1. This methodology uses a handful of actual data to create a ‘Demand Ratio’ for the neighborhood the property is located in. The ratio itself matters little until compared to surrounding areas, only then revealing which areas are more or less desirable than others. Because this is information on the neighborhood and not the property, a location can be analyzed using the info without ever having to see the property or knowing anything about the area. 
    2. This methodology does not take in consideration the demographics of people who live there, nor crime rates for the area. Age, Race, Familial Status, etc, are irrelevant. Generally speaking, as crime rates trend down, the demand ratio often trends upward, but it is not a given. Because this method disregards demographics, it could reveal areas still suffering from the aftermath of redlining that would be prime targets for revitalization and investment.

    3. With this methodology, high real estate prices and high turnover in properties do not equal A neighborhoods. Like crime rates, generally speaking, the higher the value of the real estate, the higher the demand ratio, but not always, and not even a large majority of the time. We all remember what happened in 2008, how do you know that $1 million dream home isn’t a McMansion worth half that, and one you won’t be able to resell? High price + Low Grade = Bubble

    Low price + High Grade = Opportunity 


    Ive told a few brokers I know about the method, all who acted interested but didn’t necessarily understand. They are your stereotypical ‘salesman’ type brokers, more about just selling any and all homes than they are studying the markets. Thats why I decided to bring it here. 
    For now, free time allowing, I would like to take the opportunity to use my methodology to give my free opinion on locations for you. I simply need a location, and I can provide a report comparing it to surrounding areas and determine whether it has a better or worse chance of appreciating compared to said areas. In addition to doing specific addresses, I can also compare zip codes, cities, counties, or states. For example, I can tell you Hawaii has the highest grade of any state, and Iowa the lowest. However there are plenty of areas in Iowa that are better than plenty of places in Hawaii. Wouldn’t you love to know which are which? I can also answer questions further explaining my methodology. I seek only feedback, thoughts, and perhaps constructive critiques.
    Looking forward to hearing back and doing my first location analyses for you all! 


     Sounds like you're aiming to make some type of algorithm or software that tries to eliminate the need of competent real estate people utilizing their experience in markets they are very familiar with..........Didn't Zillow lose about $500 Million flipping houses using this exact type of model? 


     Im sure they probably did, I’ve seen their ‘Zestimates’ and they don’t make much sense to me. How many people lost money trying to invent the lightbulb before Edison I wonder? 
    And there’s no replacement for a real estate professional. Imagine my method a way of appraising companies instead of locations. The majority of people still need a financial professional to read that data and apply it. 
    Anyway, glad to see a fellow Ohioan. Your listed markets are the ones I know the most about. Care to humor me and give me a spot to analyze? 
    For example, here are the ten best counties in Ohio, ranked 1-10

    Athens

    Holmes

    Geauga

    Hamilton

    Franklin

    Portage

    Cuyahoga

    Wood

    Wayne

    Butler


     Define "Best"

  • Youngstown OH · Member since 2016 · 13 posts · 10 votes
    2y
    Quote from @James Wise:
    Quote from @Alexander Blake Summers:
    Quote from @James Wise:
    Quote from @Alexander Blake Summers:

    Greetings all,

    We’ve all read methods on how to analyze a real estate deal, running numbers, estimating rehab costs, incorporating taxes, capital expenses, etc. How much time and effort do we put into analyzing the location of the property in comparison? How do we know that diamond deal with all the right numbers is the worst house in the best neighborhood, and not the worst house in the worst neighborhood? Some of the only methods Ive come across involve simply looking at the age of the homes in the neighborhood or comparing the amount of development in the area to surrounding areas. I’ve always found these methods lacking, based in intuition or guesswork instead of any objective assessment. There had to be a better way. After several years of studying and trying different methods, I’ve cracked the code. A couple notes:

    1. This methodology uses a handful of actual data to create a ‘Demand Ratio’ for the neighborhood the property is located in. The ratio itself matters little until compared to surrounding areas, only then revealing which areas are more or less desirable than others. Because this is information on the neighborhood and not the property, a location can be analyzed using the info without ever having to see the property or knowing anything about the area. 
    2. This methodology does not take in consideration the demographics of people who live there, nor crime rates for the area. Age, Race, Familial Status, etc, are irrelevant. Generally speaking, as crime rates trend down, the demand ratio often trends upward, but it is not a given. Because this method disregards demographics, it could reveal areas still suffering from the aftermath of redlining that would be prime targets for revitalization and investment.

    3. With this methodology, high real estate prices and high turnover in properties do not equal A neighborhoods. Like crime rates, generally speaking, the higher the value of the real estate, the higher the demand ratio, but not always, and not even a large majority of the time. We all remember what happened in 2008, how do you know that $1 million dream home isn’t a McMansion worth half that, and one you won’t be able to resell? High price + Low Grade = Bubble

    Low price + High Grade = Opportunity 


    Ive told a few brokers I know about the method, all who acted interested but didn’t necessarily understand. They are your stereotypical ‘salesman’ type brokers, more about just selling any and all homes than they are studying the markets. Thats why I decided to bring it here. 
    For now, free time allowing, I would like to take the opportunity to use my methodology to give my free opinion on locations for you. I simply need a location, and I can provide a report comparing it to surrounding areas and determine whether it has a better or worse chance of appreciating compared to said areas. In addition to doing specific addresses, I can also compare zip codes, cities, counties, or states. For example, I can tell you Hawaii has the highest grade of any state, and Iowa the lowest. However there are plenty of areas in Iowa that are better than plenty of places in Hawaii. Wouldn’t you love to know which are which? I can also answer questions further explaining my methodology. I seek only feedback, thoughts, and perhaps constructive critiques.
    Looking forward to hearing back and doing my first location analyses for you all! 


     Sounds like you're aiming to make some type of algorithm or software that tries to eliminate the need of competent real estate people utilizing their experience in markets they are very familiar with..........Didn't Zillow lose about $500 Million flipping houses using this exact type of model? 


     Im sure they probably did, I’ve seen their ‘Zestimates’ and they don’t make much sense to me. How many people lost money trying to invent the lightbulb before Edison I wonder? 
    And there’s no replacement for a real estate professional. Imagine my method a way of appraising companies instead of locations. The majority of people still need a financial professional to read that data and apply it. 
    Anyway, glad to see a fellow Ohioan. Your listed markets are the ones I know the most about. Care to humor me and give me a spot to analyze? 
    For example, here are the ten best counties in Ohio, ranked 1-10

    Athens

    Holmes

    Geauga

    Hamilton

    Franklin

    Portage

    Cuyahoga

    Wood

    Wayne

    Butler


     Define "Best"

    Highest potential for growth, most desirable/in demand, most likely to hold value in a downturn or appreciate in an upswing. 
  • Youngstown OH · Member since 2016 · 13 posts · 10 votes
    2y
    Quote from @Tanjaree Turner:

    Hi Alexander. Let's look at Waco, TX. What you got?

    Hi Tanjaree, here is what I found for the Waco metro area:
    Here are my rankings for zip codes in the metro area from best to worst-
    1.76706 (Waco) 2.76638 (Crawford) 3.76710 (Waco) 4.76630 (Bruceville) 5.76704 (Waco) 6.76640 (Elm Mott) 7.76708 (Waco) 8.76633 (China Spring) 9.76712 (Woodway) 10.76657 (McGregor) 11.76701 (Waco) 12.76691 (West) 13.76705 (Waco) 14.76655 (Lorena) 15.76643 (Hewitt) 16.76707 (Waco) 17.76711 (Waco) 18.76557 (Moody) 19.76682 (Riesel) 20.76524 (Eddy) 21.76624 (Axtell) 22.76664 (Mart) 23.76654 (Leroy)
    The Waco Metro also rates slightly above average compared to the rest of the state, making it a fairly safe bet as far as Texas goes. 
    Thank you for giving me the opportunity to investigate the area, let me know your thoughts! 
  • Real Estate Broker · Cleveland Dayton Cincinnati Toledo Columbus & Akron, OH · Member since 2013 · 31k+ posts · 20k+ votes
    2y
    Quote from @Alexander Blake Summers:
    Quote from @James Wise:
    Quote from @Alexander Blake Summers:
    Quote from @James Wise:
    Quote from @Alexander Blake Summers:

    Greetings all,

    We’ve all read methods on how to analyze a real estate deal, running numbers, estimating rehab costs, incorporating taxes, capital expenses, etc. How much time and effort do we put into analyzing the location of the property in comparison? How do we know that diamond deal with all the right numbers is the worst house in the best neighborhood, and not the worst house in the worst neighborhood? Some of the only methods Ive come across involve simply looking at the age of the homes in the neighborhood or comparing the amount of development in the area to surrounding areas. I’ve always found these methods lacking, based in intuition or guesswork instead of any objective assessment. There had to be a better way. After several years of studying and trying different methods, I’ve cracked the code. A couple notes:

    1. This methodology uses a handful of actual data to create a ‘Demand Ratio’ for the neighborhood the property is located in. The ratio itself matters little until compared to surrounding areas, only then revealing which areas are more or less desirable than others. Because this is information on the neighborhood and not the property, a location can be analyzed using the info without ever having to see the property or knowing anything about the area. 
    2. This methodology does not take in consideration the demographics of people who live there, nor crime rates for the area. Age, Race, Familial Status, etc, are irrelevant. Generally speaking, as crime rates trend down, the demand ratio often trends upward, but it is not a given. Because this method disregards demographics, it could reveal areas still suffering from the aftermath of redlining that would be prime targets for revitalization and investment.

    3. With this methodology, high real estate prices and high turnover in properties do not equal A neighborhoods. Like crime rates, generally speaking, the higher the value of the real estate, the higher the demand ratio, but not always, and not even a large majority of the time. We all remember what happened in 2008, how do you know that $1 million dream home isn’t a McMansion worth half that, and one you won’t be able to resell? High price + Low Grade = Bubble

    Low price + High Grade = Opportunity 


    Ive told a few brokers I know about the method, all who acted interested but didn’t necessarily understand. They are your stereotypical ‘salesman’ type brokers, more about just selling any and all homes than they are studying the markets. Thats why I decided to bring it here. 
    For now, free time allowing, I would like to take the opportunity to use my methodology to give my free opinion on locations for you. I simply need a location, and I can provide a report comparing it to surrounding areas and determine whether it has a better or worse chance of appreciating compared to said areas. In addition to doing specific addresses, I can also compare zip codes, cities, counties, or states. For example, I can tell you Hawaii has the highest grade of any state, and Iowa the lowest. However there are plenty of areas in Iowa that are better than plenty of places in Hawaii. Wouldn’t you love to know which are which? I can also answer questions further explaining my methodology. I seek only feedback, thoughts, and perhaps constructive critiques.
    Looking forward to hearing back and doing my first location analyses for you all! 


     Sounds like you're aiming to make some type of algorithm or software that tries to eliminate the need of competent real estate people utilizing their experience in markets they are very familiar with..........Didn't Zillow lose about $500 Million flipping houses using this exact type of model? 


     Im sure they probably did, I’ve seen their ‘Zestimates’ and they don’t make much sense to me. How many people lost money trying to invent the lightbulb before Edison I wonder? 
    And there’s no replacement for a real estate professional. Imagine my method a way of appraising companies instead of locations. The majority of people still need a financial professional to read that data and apply it. 
    Anyway, glad to see a fellow Ohioan. Your listed markets are the ones I know the most about. Care to humor me and give me a spot to analyze? 
    For example, here are the ten best counties in Ohio, ranked 1-10

    Athens

    Holmes

    Geauga

    Hamilton

    Franklin

    Portage

    Cuyahoga

    Wood

    Wayne

    Butler


     Define "Best"

    Highest potential for growth, most desirable/in demand, most likely to hold value in a downturn or appreciate in an upswing. 

     Unsurprisingly I disagree with the counties on your list. I don't think this idea has any legs my man. Corporations with 100's of millions of dollars and endless resources couldn't make this work, I see no scenario where a random dude can succeed where they failed.

  • Youngstown OH · Member since 2016 · 13 posts · 10 votes
    2y
    Quote from @James Wise:
    Quote from @Alexander Blake Summers:
    Quote from @James Wise:
    Quote from @Alexander Blake Summers:
    Quote from @James Wise:
    Quote from @Alexander Blake Summers:

    Greetings all,

    We’ve all read methods on how to analyze a real estate deal, running numbers, estimating rehab costs, incorporating taxes, capital expenses, etc. How much time and effort do we put into analyzing the location of the property in comparison? How do we know that diamond deal with all the right numbers is the worst house in the best neighborhood, and not the worst house in the worst neighborhood? Some of the only methods Ive come across involve simply looking at the age of the homes in the neighborhood or comparing the amount of development in the area to surrounding areas. I’ve always found these methods lacking, based in intuition or guesswork instead of any objective assessment. There had to be a better way. After several years of studying and trying different methods, I’ve cracked the code. A couple notes:

    1. This methodology uses a handful of actual data to create a ‘Demand Ratio’ for the neighborhood the property is located in. The ratio itself matters little until compared to surrounding areas, only then revealing which areas are more or less desirable than others. Because this is information on the neighborhood and not the property, a location can be analyzed using the info without ever having to see the property or knowing anything about the area. 
    2. This methodology does not take in consideration the demographics of people who live there, nor crime rates for the area. Age, Race, Familial Status, etc, are irrelevant. Generally speaking, as crime rates trend down, the demand ratio often trends upward, but it is not a given. Because this method disregards demographics, it could reveal areas still suffering from the aftermath of redlining that would be prime targets for revitalization and investment.

    3. With this methodology, high real estate prices and high turnover in properties do not equal A neighborhoods. Like crime rates, generally speaking, the higher the value of the real estate, the higher the demand ratio, but not always, and not even a large majority of the time. We all remember what happened in 2008, how do you know that $1 million dream home isn’t a McMansion worth half that, and one you won’t be able to resell? High price + Low Grade = Bubble

    Low price + High Grade = Opportunity 


    Ive told a few brokers I know about the method, all who acted interested but didn’t necessarily understand. They are your stereotypical ‘salesman’ type brokers, more about just selling any and all homes than they are studying the markets. Thats why I decided to bring it here. 
    For now, free time allowing, I would like to take the opportunity to use my methodology to give my free opinion on locations for you. I simply need a location, and I can provide a report comparing it to surrounding areas and determine whether it has a better or worse chance of appreciating compared to said areas. In addition to doing specific addresses, I can also compare zip codes, cities, counties, or states. For example, I can tell you Hawaii has the highest grade of any state, and Iowa the lowest. However there are plenty of areas in Iowa that are better than plenty of places in Hawaii. Wouldn’t you love to know which are which? I can also answer questions further explaining my methodology. I seek only feedback, thoughts, and perhaps constructive critiques.
    Looking forward to hearing back and doing my first location analyses for you all! 


     Sounds like you're aiming to make some type of algorithm or software that tries to eliminate the need of competent real estate people utilizing their experience in markets they are very familiar with..........Didn't Zillow lose about $500 Million flipping houses using this exact type of model? 


     Im sure they probably did, I’ve seen their ‘Zestimates’ and they don’t make much sense to me. How many people lost money trying to invent the lightbulb before Edison I wonder? 
    And there’s no replacement for a real estate professional. Imagine my method a way of appraising companies instead of locations. The majority of people still need a financial professional to read that data and apply it. 
    Anyway, glad to see a fellow Ohioan. Your listed markets are the ones I know the most about. Care to humor me and give me a spot to analyze? 
    For example, here are the ten best counties in Ohio, ranked 1-10

    Athens

    Holmes

    Geauga

    Hamilton

    Franklin

    Portage

    Cuyahoga

    Wood

    Wayne

    Butler


     Define "Best"

    Highest potential for growth, most desirable/in demand, most likely to hold value in a downturn or appreciate in an upswing. 

     Unsurprisingly I disagree with the counties on your list. I don't think this idea has any legs my man. Corporations with 100's of millions of dollars and endless resources couldn't make this work, I see no scenario where a random dude can succeed where they failed.

    That’s completely fine, if I were you Id be at  least as skeptical. Thank you for taking the time to give me your feedback though, I appreciate it. 
  • Investor · OR · Member since 2020 · 62 posts · 32 votes
    2y
    Quote from @Alexander Blake Summers:

    Hi Alexander,
    If I can be greedy, I've got two areas for you: Boone,NC and Waldport, OR.
    Thanks,
    Tom

  • Michael SmytheBusiness Member
    Real Estate Agent · Metro Detroit · Member since 2023 · 4k+ posts · 3k+ votes
    2y

    How about Detroit, MI?

    Logical Property Management4.9460 Reviews
  • Youngstown OH · Member since 2016 · 13 posts · 10 votes
    2y
    Quote from @Tom Dieringer:
    Quote from @Alexander Blake Summers:

    Hi Alexander,
    If I can be greedy, I've got two areas for you: Boone,NC and Waldport, OR.
    Thanks,
    Tom

    Hi Tom, thanks for the opportunity.
    First, Boone NC shows up very well, with every zip code in the metro ranking above the national average. That being said, here’s which zip codes are better than others:
    1.28607 (Boone) 2.28605 (Blowing Rock) 3.28679 (Sugar Grove) 4.28618 (Deep Gap) 5.28692 (Vilas) 6.28698 (Zionville)
    Also, a map of neighborhoods within Boone City ranked:Waldport is ranked above the national average, however it is slightly below average compared to the rest of Lincoln County zip codes. Here are the zips ranked:
    1.Gleneden Beach 2.Depoe Bay 3.Neotsu 4.Lincoln City 5.Newport 6.Seal Rock 7.Otter Rock 8.Waldport 9.Eddyville 10.Logsden 11.South Beach 12.Toledo 13.Siletz 
    Nevertheless, here are the three areas of Waldport ranked:Hope this helps, let me know your thoughts! 

  • Rental Property Investor · Brooke Park Drive · Member since 2018 · 1k+ posts · 2k+ votes
    2y

    Do the zips in toled0 Ohio area. I can easily know how accurate your method is then. 

  • Investor · OR · Member since 2020 · 62 posts · 32 votes
    2y
    Quote from @Alexander Blake Summers:
    Quote from @Tom Dieringer:
    Quote from @Alexander Blake Summers:

    Hi Alexander,
    If I can be greedy, I've got two areas for you: Boone,NC and Waldport, OR.
    Thanks,
    Tom

    Hi Tom, thanks for the opportunity.
    First, Boone NC shows up very well, with every zip code in the metro ranking above the national average. That being said, here’s which zip codes are better than others:
    1.28607 (Boone) 2.28605 (Blowing Rock) 3.28679 (Sugar Grove) 4.28618 (Deep Gap) 5.28692 (Vilas) 6.28698 (Zionville)
    Also, a map of neighborhoods within Boone City ranked:Waldport is ranked above the national average, however it is slightly below average compared to the rest of Lincoln County zip codes. Here are the zips ranked:
    1.Gleneden Beach 2.Depoe Bay 3.Neotsu 4.Lincoln City 5.Newport 6.Seal Rock 7.Otter Rock 8.Waldport 9.Eddyville 10.Logsden 11.South Beach 12.Toledo 13.Siletz 
    Nevertheless, here are the three areas of Waldport ranked:Hope this helps, let me know your thoughts! 

    Thank you Alexander! I appreciate this. I will take a little bit to absorb it. Waldport I know, Boone I do not. For Waldport it seems to correlate with my own experience and eyeball test. However there is one area, (unsure if it is a distinct zip code) to the upper left (or NW on the map) of zone one that isn't included but is still Waldport and I would suspect it's the highest of them all.  Just curious how long you project to be a sufficient amount of time and data to ascertain if your projections of appreciation hold to model?  Regardless, very interesting and thank you for your time invested.
  • Youngstown OH · Member since 2016 · 13 posts · 10 votes
    2y
    Quote from @Michael Smythe:

    How about Detroit, MI?

    Yessir! Here are Detroit City’s 25 zips ranked:
    1.)48201 2.)48226 3.)48208 4.)48202 5.)48207 6.)48215 7.)48206 8.)48216 9.)48214 10.)48217 11.)48238 12.)48235 13.)48221 14.)48211 15.)48223 16.)48227 17.)48234 18.)48204 19.)48213 20.)48219 21.)48224 22.)48228 23.)48209 24.)48205 25.)48210 
    A note on Detroit city - only the first four zip codes listed above rank higher than the state average, making 21/25 zip codes less desirable than the average area in Michigan. 
    Depending on what you’re looking for, I can also rank every zip code in the Detroit/Warren/Livonia metro if you want more of a look at the suburbs, or I can do a map like above ranking the neighborhoods if you wanted a closer look at the city. Either way, we’d be looking at 213 zips in the metro or 286 groups of neighborhoods in the city, so it may take a little bit longer. 
    Thank you for the opportunity! 
  • Youngstown OH · Member since 2016 · 13 posts · 10 votes
    2y
    Quote from @Account Closed:

    Do the zips in toled0 Ohio area. I can easily know how accurate your method is then. 

    Sure thing, here are the zips ranked in the Toledo metro (Fulton, Lucas, Ottawa and Wood counties):
    1. Put In Bay 2.Middle Bass 3.Bowling Green 4.Toledo (43620) 5.Lakeside Marblehead 6.Toledo (43606) 7.Neapolis 8.Toledo (43610) 9.Perrysburg 10.Holland 11.Harbor View 12.Port Clinton 13.Pemberville 14.Toledo (43615) 15.Millbury 16.West Millgrove 17.Archbold 18.Toledo (43604) 19.Toledo (43623) 20.Luckey 21. Maumee 22.Oak Harbor 23.Swanton 24.Delta 25.Toledo (43614) 26.Rossford 27.Custar 28.Oregon 29.Toledo (43607) 30.Toledo (43617) 31.Toledo (43609) 32.Waterville 33.Haskins 34.Grand Rapids 35.Whitehouse 36.Lyons 37.Berkey 38.Pettisville 39.Sylvania 40.Martin 41.Wauseon 42.Elmore 43.Monclova 44.Northwood 45.Fayette 46.Toledo (43611) 47.Curtice 48.Bradner 49.Portage 50.Walbridge 51.Williston 52.Toledo (43613) 53.Risingsun 54.Metamora 55.Rocky Ridge 56.Milton Center 57.Tontogany 58.Rudolph 59.North Baltimore 60.Wayne 61.Jerry City 62.Genoa 63.Cygnet 64.Bloomdale 65.Toledo (43612) 66.Weston 67.Toledo (43605) 68.Toledo (43608) 69.Clay Center 70.Graytown 71.Hoytville
    Thanks for the opportunity! 

  • Rental Property Investor · Brooke Park Drive · Member since 2018 · 1k+ posts · 2k+ votes
    2y
    Quote from @Alexander Blake Summers:
    Quote from @Account Closed:

    Do the zips in toled0 Ohio area. I can easily know how accurate your method is then. 

    Sure thing, here are the zips ranked in the Toledo metro (Fulton, Lucas, Ottawa and Wood counties):
    1. Put In Bay 2.Middle Bass 3.Bowling Green 4.Toledo (43620) 5.Lakeside Marblehead 6.Toledo (43606) 7.Neapolis 8.Toledo (43610) 9.Perrysburg 10.Holland 11.Harbor View 12.Port Clinton 13.Pemberville 14.Toledo (43615) 15.Millbury 16.West Millgrove 17.Archbold 18.Toledo (43604) 19.Toledo (43623) 20.Luckey 21. Maumee 22.Oak Harbor 23.Swanton 24.Delta 25.Toledo (43614) 26.Rossford 27.Custar 28.Oregon 29.Toledo (43607) 30.Toledo (43617) 31.Toledo (43609) 32.Waterville 33.Haskins 34.Grand Rapids 35.Whitehouse 36.Lyons 37.Berkey 38.Pettisville 39.Sylvania 40.Martin 41.Wauseon 42.Elmore 43.Monclova 44.Northwood 45.Fayette 46.Toledo (43611) 47.Curtice 48.Bradner 49.Portage 50.Walbridge 51.Williston 52.Toledo (43613) 53.Risingsun 54.Metamora 55.Rocky Ridge 56.Milton Center 57.Tontogany 58.Rudolph 59.North Baltimore 60.Wayne 61.Jerry City 62.Genoa 63.Cygnet 64.Bloomdale 65.Toledo (43612) 66.Weston 67.Toledo (43605) 68.Toledo (43608) 69.Clay Center 70.Graytown 71.Hoytville
    Thanks for the opportunity! 


     I would NOT invest in Toledo using this ranking.

  • Engelo RumoraBusiness Member
    Investor · Toledo, OH · Member since 2013 · 4k+ posts · 2k+ votes
    2y
    Quote from @Account Closed:
    Quote from @Alexander Blake Summers:
    Quote from @Account Closed:

    Do the zips in toled0 Ohio area. I can easily know how accurate your method is then. 

    Sure thing, here are the zips ranked in the Toledo metro (Fulton, Lucas, Ottawa and Wood counties):
    1. Put In Bay 2.Middle Bass 3.Bowling Green 4.Toledo (43620) 5.Lakeside Marblehead 6.Toledo (43606) 7.Neapolis 8.Toledo (43610) 9.Perrysburg 10.Holland 11.Harbor View 12.Port Clinton 13.Pemberville 14.Toledo (43615) 15.Millbury 16.West Millgrove 17.Archbold 18.Toledo (43604) 19.Toledo (43623) 20.Luckey 21. Maumee 22.Oak Harbor 23.Swanton 24.Delta 25.Toledo (43614) 26.Rossford 27.Custar 28.Oregon 29.Toledo (43607) 30.Toledo (43617) 31.Toledo (43609) 32.Waterville 33.Haskins 34.Grand Rapids 35.Whitehouse 36.Lyons 37.Berkey 38.Pettisville 39.Sylvania 40.Martin 41.Wauseon 42.Elmore 43.Monclova 44.Northwood 45.Fayette 46.Toledo (43611) 47.Curtice 48.Bradner 49.Portage 50.Walbridge 51.Williston 52.Toledo (43613) 53.Risingsun 54.Metamora 55.Rocky Ridge 56.Milton Center 57.Tontogany 58.Rudolph 59.North Baltimore 60.Wayne 61.Jerry City 62.Genoa 63.Cygnet 64.Bloomdale 65.Toledo (43612) 66.Weston 67.Toledo (43605) 68.Toledo (43608) 69.Clay Center 70.Graytown 71.Hoytville
    Thanks for the opportunity! 


     I would NOT invest in Toledo using this ranking.



    Agreed mate,

    43606 is mostly rough and 43610 and 43620 is hit/miss.

    Put In Bay has a total of 7 houses haha

    Bowling Green quite expensive and only 1 target tenant and they are students...

    Online stats/demographics are one thing, real life and on-ground experience is another.

    As an investor you are limited if your decisions are based on solely online research.

    Had an investor that bought 6 properties from us ages ago and was using some weird online algorithm and plugging every deal I sent him through RentFax (I easily send 30 or so deals for consideration).

    I advised against this strategy but it is what it is.

    Didn't work out for him unfortunately and he decided to sell.

    Maybe I should get him to post a thread and throw us under the bus.

    It's always our fault, right?

    Thanks  
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