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27 June 2024 | 2 replies
Electric, gas, water, sewer, data/telco, and storm.3.
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28 June 2024 | 5 replies
So, we obtaina full credit report and review collections, chargeoffs, age of credit accounts, active accounts, etc.to build an overall credit evaluation.FICO ScorePct of PopulationDefault Probability800 or more13.00%1.00%750-79927.00%1.00%700-74918.00%4.40%650-69915.00%8.90%600-64912.00%15.80%550-5998.00%22.50%500-5495.00%28.40%Less than 4992.00%41.00%Source: Fair Isaac CompanyPublic RecordsWe also obtain data from national databases about evictions, convictions and sex-offender histories.
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28 June 2024 | 100 replies
This structure, if the data I'm finding is true, is unsurvivable if the market moves against them.
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25 June 2024 | 8 replies
Never heard about this company before, but they claim to use raw data from Airbnb, and frankly I found them to be more accurate than Airdna.
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27 June 2024 | 26 replies
For example, in AZ per flexMLS data, the rise in the number of rentals has increased from 2,000 units on 1/1/24 to nearly 4,300 listings, not counting the explosion in supply FS on the MLS.
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26 June 2024 | 15 replies
And if anyone has data on what different rehab costs run for in the Cleveland area that would be greatly appreciated!
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25 June 2024 | 6 replies
However, in recent years, I've seen this used as a methodology of raising money to buy low barrier of entry real estate and make sponsors very wealthy collecting fees while leaving the LP's with nothing but capital calls and suspended distributions.
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24 June 2024 | 8 replies
Expected NumbersBefore diving into the main financial data pieces to follow that move yields, a final, very important financial concept to cover is how the markets interpret data.
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25 June 2024 | 4 replies
They can look at specific areas through time and give you DOM, list v. sale, price per square foot, etc which are all great data points if looking to invest in that location.~ Lindsey
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27 June 2024 | 37 replies
HMM never heard of that regarding criminals https://calcivilrights.ca.gov/wp-content/uploads/sites/32/20...Using CA as an example:- not allowed to place a blanket ban based on criminal record- are not allowed to access certain forms of criminal records (arrests, post-trial diversions, sealed expunged records)- you are technically allowed to access conviction data and use it, but your interpretation of that data must comport perfectly with how CA wants you to interpret it (must have direct bearing, must have been recent enough etc)- even if you follow all of this perfectly, accessing the criminal records must not "have a discriminatory effect" so if certain special people are impacted you are still looking at liability.As a result of this legal minefield many just decide to forget looking at criminal or to find some other criteria.