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13 February 2017 | 19 replies
I look at cash flow over the life of the investment (not just day 1, but over the life including average historical rate of rent increases) and appreciation over the life of the investment (not just next year or the year after, but over multi-decades, based on job and population growth, housing supply & demand statistics, and long term historical averages of price appreciation).
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1 May 2017 | 15 replies
$300,000.oo Purchased & RehabARV $500,000.oo70% rule applied, Thank you B.P. for the info, giving me the ability to present factual statistics #KNOWLEDGE_APPLIED
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13 March 2017 | 3 replies
Now, that's not to say that you won't get any calls from the first few touches, but statistically speaking it is later touches that you will get more calls.
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17 March 2017 | 13 replies
After sharing this with the lender, they've come back with this:First 5 years fixed at 4.75% and then to be reset at a fixed rate of 265 basis points over the corresponding Federal Reserve Statistical Release H 15 five year Treasury Constant Maturity with a floor of 4.75% (that's a mouthful!)
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15 March 2017 | 3 replies
And who also knows how to pull zip-code demographics, crime statistics, and other relevant data about a given neighborhood to help you make the best possible investing decision?
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18 March 2017 | 6 replies
I believe the statistic is that most renters move every 18 months due to job change, divorce, marriage, whatever.
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23 March 2017 | 9 replies
No one knows what house X at time Y with finish level Z sold for in statistical aggregate in average as an exact number.
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29 March 2017 | 1 reply
One of the agencies that stages homes in my area has some really good statistics on staging and how they affect potential buyers.
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24 January 2017 | 0 replies
Competition aside, let us look at what is needed to succeed; Look at how hard virtual wholesaling really is.To see why it is hard going, think about the work statistics.
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5 February 2017 | 16 replies
It did prompt the new HUD rules.I anticipate the HUD rules being expanded to credit scoring, which can be impacted by statistically abnormal arrest rates in certain populations (affecting job stability and credit management) and by mental illness or other disabilities that affect such life skills as timely bill payment.