The Housing Market in Chicago Metro as of 02-2019

Chicago-Naperville-Elgin Housing Market as of 02–2019

미중부를 대표하는 시카고 주택시장을 보았습니다.

시카고 평균주택가격은 $45만불대이고 중간가격은 $30만불대입니다. 뉴욕의 ½ 이며 LA 의 ⅓ 가격입니다.

The following chart shows the ratio of average prices over median prices in Chicago metro area. It has been declining to below 1.5 and the national average is 1.33.

시카고 주택가격상승률도 하락하고 있습니다. 하지만 뉴욕이나 LA 와 다르게 중간주택가격 상승률이나 평균가격 상승률이 거의 비슷하게 움직이는것을 볼수가 있습니다. 하지만 2018년에는 시카고에도 평균주택가격의 하락폭이 더컸습니다.

시키고의 주택 판매기간이 점점줄어들다가 약간의 상승했습니다. 주택시장의 쿨다운하는것을 볼수가 있습니다.

아래차트를 보면 작년대비 재고량이 2018년 후반에는 늘어나기 시작했습니다.

The housing market in Los Angeles-Long Beach-Anaheim from 05-01-2012 to 02-01-2019

미서부 로스앤잴래스 주택시장 동향를 보면 중간가격은 $70만불인데 평균가격은 $150만불 가까이 나갑니다. 평균가격이 중간가격의 두배입니다. 확연히 이지역의 주택시장은 2018년 여름이후에 확연히 식어가고있는것을 볼수가 있습니다. 주태가격이 하락한것을 볼수가 있습니다. 또한 재고량이 늘어나고 주택판매기간이 늘어나기 시작했습니다. 확실히 주택시장이 한풀 꺾인것을 볼수가 있습니다.

According to the housing market in Los Angeles-Long Beach-Anaheim, the median price is $ 700,000 and the average price is close to $ 1.5 million. The average price is twice the median price. It is evident that the housing market in this area is clearly cooling down after the summer of 2018. We can see that the prices have fallen while inventory levels have increased and time to sell a house has begun to increase. It is certain that the housing market has been cooling.

The following charts shows the housing market in Los Angeles-Long Beach-Anaheim from 05-01-2012 to 02-01-2019. The average housing prices is approximately $1.45 million while the median housing prices is approximately $700,000.

The housing market in Los Angeles-Long Beach – Anaheim is cooling since Summer 2018. The following chart shows that the housing prices in both median and average are falling in late of 2018. It is taking longer to sell houses and the inventory of houses increase also.

The following chart shows the ratio of average price over median price in LA metro area. It is above 2 and the national average is 1.33.

R-Codes:

library(quantmod)

library(Hmisc)

library(reshape2)

library(ggplot2)

library(googleVis)

#Importing Housing Data

Housing_Metro <- read.csv("~/R programs/Housing/RDC_InventoryCoreMetrics_Metro_Hist.csv")

# Select Housing Prices for top 20 cities

Housing<- subset(Housing_Metro, Housing_Metro$Nielsen.Rank==2)

Housing<-Housing[order(Housing$Month),]

var0<-Housing$Median.Listing.Price

var1<-Housing$Avg.Listing.Price

date <- seq(as.Date("2012-05-01"), by="1 month", length.out=82)

# Creating Charts

ggplot() + geom_line(aes(x=date,y=var0),color=’red’) +

geom_line(aes(x=date,y=var1),color=’blue’) +

ylab(‘Housing Prices’)+xlab(‘Date’)+

labs(title=” Median Listing Prices (in Red) and Average Listing Prices (in Blue)”)

var2<-Housing$Median.Listing.Price.Y.Y

var3<-Housing$Avg.Listing.Price.Y.Y

date <- seq(as.Date("2012-05-01"), by="1 month", length.out=82)

ggplot() + geom_line(aes(x=date,y=var2),color=’red’) +

geom_line(aes(x=date,y=var3),color=’blue’) +

ylab(‘Housing Prices’)+xlab(‘Date’)+

labs(title=” Median Listing Prices (in Red) and Average Listing Prices Y to Y (in Blue)”)

barplot(Housing$Median.Listing.Price, main=”Median Listing Price”

, col=’blue’,names.arg = Housing$Month, cex.names = 0.3 )

barplot(Housing$Median.Listing.Price.Y.Y, main=”Median Listing Price Y to Y”

, names.arg = Housing$Month, cex.names = 0.3 )

barplot(Housing$Days.on.Market, main=”Days on Market”

,

names.arg = Housing$Month, cex.names = 0.3 )

barplot(Housing$Days.on.Market.Y.Y, main=”Days on Market Y to Y”

,

names.arg = Housing$Month, cex.names = 0.3 )

barplot(Housing$Price.Increase.Count.Y.Y, main=”Price Increase Y to Y”

,

names.arg = Housing$Month, cex.names = 0.3 )

barplot(Housing$Price.Decrease.Count.Y.Y, main=”Price Decrease Y to Y”

,

names.arg = Housing$Month, cex.names = 0.3 )

barplot(Housing$Total.Listing.Count.Y.Y, main=”Total Listing Y to Y”

,

names.arg = Housing$Month, cex.names = 0.5 )

barplot(Housing$Pending.Listing.Count.Y.Y, main=”Pending Listing Y to Y”

,

names.arg = Housing$Month, cex.names = 0.5 )

# Basic line plot with points

ggplot(data=Housing, aes(x=Housing$Month, y=Housing$Pending.Ratio, group=1)) +

geom_line()+

geom_point()+

labs(title=” Active Listing Count Y to Y”)

# Basic line plot with points

ggplot(data=Housing, aes(x=Housing$Month, y=Housing$Active.Listing.Count.Y.Y, group=1)) +

geom_line(linetype=”dashed”)+

geom_point()+

labs(title=” Active Listing Count”)

#Histogram Chart

x <- na.exclude(Housing_Metro$Median.Listing.Price.Y.Y)

h<-hist(x, breaks=10, col="blue", xlab="Median Housing Prices",

main=”Histogram with Normal Curve”)

d<-density(x)

plot(d, col=”red”, border=”blue”)

#boxplot

boxplot(x,

col=(c(“blue”)),

main=”Median Listing Price Y/Y”)

The existing housing prices in New York-Newark-Jersey City from 5/2012 to 2/1/2019

동부를 대표하는 뉴욕주택시장은 2018년에 들어와서 쿨다운한것을 볼수가 있습니다. 중간가격은 $50만불이 넘고 평균가격이 $100만불이 넘습니다. 평균가격의 중택가격상승률이 중간가격상승률 보다 하락폭이 더크고 이것은 고급주택시장이 쿨다운 했다는것을 의미합니다. 아무래도 지난 감세정책으로 모게지비용에 대한 세금혜택을 $100만불에서 $75만불로 하향한것과 그리고 재산세 해택도 만불로 줄인것이 고급주택에 대한 수요를 줄였습니다.

2018년 후반에는 가격이 하락했습니다. 주택재고량이 몇달째 늘어나고 있고 주택판매기간이 올해 2019년에는 늘었습니다. 기간이 늘어난것이 지속적으로 될것인지 지켜보아야할것 같습니다.

The following charts shows the existing housing prices in New York-Newark-Jersey City from 5/2012 to 2/1/2019.

The average prices of New York is above 1 million dollars and the median prices is above $0.5 million dollars. The average prices is twice more than the median prices. There are many expensive houses in the New York metro.

아래 차트는 평균가격과 중간가격의 비율입니다. 한때 2.25 이상 높았다가 2배로 하락했습니다. 전국 평균은 1.33 입니다.

The following chart shows the year to year prices changes in median and average housing prices. The year to year prices changes in average housing prices declined significantly in 2018. It becomes more difficult to sell more expensive houses.

The following chart shows the annual changes in days on Market. The trend had been downward, but it reversed in January, 2019. It shows that it took longer to sell a house in January 2019 and We need to know whether the trend is only a temporary or continue.

The following chart shows that the total listing has been increasing. More houses on sales joins the market and it takes longer to sell.

Washington-Arlington-Alexandria, DC-VA-MD-WV as of March 2018

The median price is approximately $ 420,000. The average price is $ 600,000. However, the total number of inventory is decreasing, and it takes 51 days to sell  a house. The figures for these numbers are as of March 2018.

중간가격은 42만불입니다. 평균가격은 60만불입니다. 하지만 전체 재고량의 숫자는 줄어들고 있고 집이 매매되는 평균 판매기간은 51일 입니다. 이숫자들의 기준은 2018년 3월입니다.






Summary Statistics of Housing Market as February 2018

The chart below shows the median listing price from 5/2012 to 2/2018.

The chart below shows the average listing price which has been increasing.

The chart below shows the total listing counts which has been declining. It shows that supply is declining.

The chart below shows the days on the market which has been declining. It shows that the houses were sold at faster.

The chart below shows the pending ratio which has been increasing.

 

The days on market for houses as of February 2018

The chart below shows the top 15 cities with fastest selling houses in the Unites States during February 2018.

San Jose and San Francisco take the top spots and Seattle takes the third spot. The rest of cities are located in California except Denver in Colorado and Midland in Texas.

미국에서 집이 제일 빨리 팔리는 도시 랭킹 15위 입니다. 역시 실리콘 벨리 가 있는 산호세와 샌프란시스코가 제일 위입니다. 시에틀은 3위 그리고 거의 켈리포니아에 위치한 도시들입니다.


The chart below shows how fast houses were sold in top 15 largest cities in the United States. The cities in West take the top three spots.

아래차트는 미국에서 가장큰 도시 15개의 주택이 팔려가는 기간입니다. 역시 서부입니다.


Note: The numbers are based on February 2018.

Changes and increase rates of house prices in 10 major US cities since May 2012

Note: All numbers are based as of 2/2018.

The following charts show the prices and annual changes of house prices in top 10 largest cities since May 2012. The blue line shows the prices changes from previous year.

다음 차트는 2012 년 5 월 이래 가장 큰 10 대 도시의 주택 가격 및 연간 가격 변화를 보여줍니다. 파란색 선은 전년 대비 가격 변동률을 보여줍니다.

The housing prices and price increases over the last six years in the top ten metropolitan areas of the US indicate the status of local economy in the regions. In particular, Los Angeles, where many Korean-Americans live, shows a high rate of increase from 2012 to 2014, but the price rose at slower rates in later years. It seems that many Chinese invested a lot in Los Angeles from 2012 to 2014.

In addition, Houston home prices declined as oil prices plummeted in summer 2014, and housing prices gradually recovered from 2017. Housing prices in New York are rising steadily. Housing prices in Dallas have also been rising at a steady pace because of huge influx of people from California (especially the US headquarters of Toyota Motor Corp. in California to Dallas). Washington DC housing prices have plummeted in price growth due to government budget cut or frozen over the last few years.

주택가격과 가격상승률입니다. 가격상승률이 지속적으로 상승하고 있습니다. 특히 작년의 가격상승률이 높았습니다.


아래차트는 LA 주택가격과 가격상승률인데 주택가격이 너무 올라서 가격상승률이 지속적으로 하락하고 있습니다. The chart below shows the housing price and increasing rate of housing prices in Los Angeles. The housing prices increased at slower pace.



The chart below shows the housing prices and increasing rates in Dalla. The housing prices are increasing at slower pace recent years.


The housing prices in Houston declined when the oil prices dropped during in 2015, but have been gradually recovering since 2017



 




Source:https://www.realtor.com/research/data