The Adjustable Forecast

Yesterday, Lawrence Yun predicted that home sales will fall by 9% this year, and home prices will rise by 8%.

At the beginning of the year, his forecast was:

2022 Home Sales Forecast: -2%

2022 Home Price Forecast: +2.8%

2022 Mortgage-Rate Forecast: Rates to rise to 3.7% by the end of 2022.

His forecasts are just guesses, and subject to change!

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NAR calculates purchasing a home is now 55% more expensive than a year ago. These rising mortgage rates and prices hurt affordability, and although wages are improving, Yun says they are “wiped away” due to inflation.

“Wages have risen by 6% from one year ago and that’s good news,” he continued. “But inflation is at 8.5%.”

He estimates inflation will remain elevated for the next several months and that the market will see further monetary policy tightening through a series of rate hikes. Citing a five-month decline in pending home sales, as well as a drop in newly constructed single-family sales, Yun predicts the higher mortgage rates will slow the housing market.

Emerging Housing Markets

Yuma beat out every town in San Diego County?

Less expensive cities with strong local economies climbed The Wall Street Journal/Realtor.com Emerging Housing Markets Index in the first quarter, another sign that many home buyers are giving priority to affordability.

Fast-rising housing prices have pushed buyers from expensive coastal cities into cheaper housing markets in recent years. Expanded remote-work opportunities and a search for different lifestyles during the Covid-19 pandemic have accelerated the trend.

“People are chasing affordability,” said Sam Khater, chief economist at mortgage-finance giant Freddie Mac. In response to high housing prices and increased remote-work flexibility, he said, “people are reordering where they live.”

The Wall Street Journal/Realtor.com Emerging Housing Markets Index identifies the top metro areas for home buyers seeking an appreciating housing market and lifestyle amenities.

The top-ranked markets in the first quarter had faster home sales, higher wages and shorter commute times than the market as a whole, said George Ratiu, manager of economic research at Realtor.com. News Corp, parent of the Journal, operates Realtor.com.

The Wall Street Journal/Realtor.com Emerging Housing Markets Index ranks the 300 biggest metro areas in the U.S. In addition to housing-market indicators, the index incorporates economic and lifestyle data, including real estate taxes, unemployment, wages, commute time and small-business loans.

https://www.wsj.com/articles/affordability-drives-home-buyer-activity-in-wsj-realtor-housing-index-11650974402

Top Gun 2 Premiere

We’re close now!

We are still planning to host a Top Gun 2 private screening. I have two different guys attending who were stationed at Miramar NAS when the first film was shot, and their commentary promises to be worth it!

Inventory Surging?

This is an example of the hysteria being whipped up by the pseudo-experts. They tend to grab fake data, jump to conclusions, and then spread it everywhere.

Here is the tweet with comments – he says the +31% is the change between March and April:

https://twitter.com/housereports/status/1521952871490621440

I don’t know where he gets his information, but it isn’t from the MLS:

Listings & Sales, Monthly

Location
March Listings
April Listings
% Chg
March Sales
April Sales
% Chg
SD County
3,916
3,780
-3%
3,233
3,053
-6%
NSDCC Detached
281
269
-4%
207
222
+7%

He says the San Diego Listing Inventory surged +31% between March and April, when it actually dropped on the MLS. Why would he say that? I don’t know, but he sells his data now so that may have something to do with it.

I don’t know how he is measuring ‘demand’, but the San Diego County sales did decline 6% between March and April.  But look how close the sales count is to the listing count – we are selling practically everything that comes to market, for pete’s sake.  If the listings decline, so will sales.

Is he talking about the active listings?

This is how it looks on InfoSparks.  The M-o-M change is +7% (last year was +5%), and the actual count of 2,616 active listings in April is bleak compared to previous years (12,652 in April, 2019!):

None of the facts are suggesting an inventory surge in San Diego County.  We would welcome one!

Can’t Buy What’s Not For Sale

The talking heads are saying that higher rates are slowing sales, and I say it’s the lack of inventory.

If higher rates were the cause, we would see more active listings piling up.

This chart shows how the pendings have dropped off from last year – especially those in yellow:

The active-listing counts aren’t any higher – there are just fewer listings overall.

JD in Church

We attended the Adams Avenue Unplugged last weekend in Normal Heights, and it was a great time. We walked down to the A/C Lounge to see Chickenbone Slim & the Biscuits:


and then back to the Normal Heights Methodist Church in time to see John Doe play solo. Tony Hawk is a big fan too – that’s him over the shoulder of the lady in the black-and-white-stripe top:

Hat tip to CB Mark for alerting me to the show!

NSDCC Sales & Pricing, April

Last year’s frenzy was crazy because of the volume – there were enough listings to drive sales higher than usual.  This year we don’t have as many listings, and it is driving the pricing to astonishing heights:

NSDCC Sales and Pricing, April

Year
NSDCC Detached-Home Sales
Median LP
Median SP
SP:LP Ratio
2015
284
$1,100,000
$1,077,500
98%
2016
303
$1,157,075
$1,125,000
97%
2017
276
$1,332,500
$1,281,065
96%
2018
270
$1,304,450
$1,285,225
99%
2019
265
$1,399,000
$1,375,000
98%
2020
156
$1,424,499
$1,390,000
98%
2021
359
$1,799,900
$1,825,829
101%
2022
221
$2,395,000
$2,600,000
109%

The median sales price is 42% higher than it was last April.

If listings dry up further, prices could keep rising!

Dirt

This house is on a 1.06-acre lot and fixers in this area have been hot, so I guess that’s enough reason to pay over list. I’m sure they will get the last laugh when they build 2-3 houses and sell them for $8 million each.

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