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Abstract:Housing prices in the US are skyrocketing: Over the past two years, mortgage payments across US cities increased twice as much as incomes.
Monthly mortgage payments in the US have increased twice as much as incomes from 2017 to 2019, according to home ownership investment company Unison's 2019 Home Affordability Report.
The report takes a look at how much homeowners need to make each year in order to afford the median monthly mortgage payments in major US cities.
The report's findings are based on homebuyers who spend 30% or less of their gross income on monthly payments.
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Saving up for the down payment is only part of the hurdle to homeownership for homeowners.
Unison's 2019 Home Affordability Report found that since mortgage interest rates rose from 3.99 % to 4.54%, monthly mortgage payments across major US cities have increased twice as much as incomes.
The report broke down how much homeowners need to make in 35 US cities in order to afford the city's median monthly mortgage payments. From that list, we looked at the 17 US cities where homeowners have to make the highest salary to afford a mortgage.
Read more: Here's how many years it takes to save for a 20% down payment on a home in 12 major US cities
The report's findings are based on homebuyers who spend 30% or less of their gross income on monthly payments. The report assumes a 20% down payment, and a 4.54% mortgage interest rate on 2018 data and a 3.99% mortgage interest rate on 2017 data, the average annual Freddie Mac 30-year fixed rates. Data on median household incomes and median value of owner-occupied housing units were provided to Unison by S&P Global.
Keep reading to see the top 17 US cities where homeowners have to make the highest salary to afford the median mortgage.
Disclaimer:
The views in this article only represent the author's personal views, and do not constitute investment advice on this platform. This platform does not guarantee the accuracy, completeness and timeliness of the information in the article, and will not be liable for any loss caused by the use of or reliance on the information in the article.