為2018年的買房做準備

轉眼又到年終,一個房市瘋狂的年度將盡,也許你在2017 信用分數不夠、還沒有正式簽證、頭期款不夠、股票還不能兌現…,不論種種原因,我們又過了一關,又是一年積累、一年的成長與收穫。

2018即將到來,如果你有買房計畫,可以透過下列一些方式,先做好一些買房前的準備。

一、檢視財務狀況:概算頭期款Down payment  (如果有含家人贈與金額Gift Funds,記得先跟Loan Agent問清楚如何匯款進美國或直接進入Escrow,每一家銀行各有不同要求。原則上是錢越早到美國越好)、計算每個月可運用資金、計算出租划算還是買房划算…。我個人也能提供更精確的計算表格,包括基本稅務上知識解釋,當然更深入的稅務相關話題就交給CPA啦 🙂

二、關注一下房市:每一到兩個月我都會固定寫個人的矽谷觀察/房市分析,包括帶著客人下標買房的offer數,自我對房市的第一手觀察、來自MLS的加價率、最新的MLS成交數據、成交所需天數等等,房市已經熱了好幾年,2017更是達到巔峰,2018選擇買房絕對是買在高點,但是在灣區,一定是越早買越好。就目前趨勢看來,股市依舊大好、市場游資充盈、就業率高、經濟一遍樂觀,2018年房市看來仍有一片榮景。

三、Pre-Approval Letter:開始準備文件、並與貸款經紀聊一聊。如果想申請貸款,銀行將要求諸多文件像是W2、Pay Stub、Bank Statement,還會要求pull你的信用報告等。 此時也可以開始找貸款經紀洽詢貸款額度、利率、比較一下closing cost,並且需要依照身分、來美國的時間、有沒有信用分數等等,選擇最有利的貸款方案。 值得注意的是,買房利率在申請pre approval letter期間是不確定的,利率只能在offer被接受開始進入貸款期內,才能鎖定當下的利率。

四、檢視信用分數:每年都有一次https://www.annualcreditreport.com/index.action 免費信用分數申請。信用分數最好700+分,信用分數越高、貸款利率可能會更加優惠,至於如何維持信用分數,建議應平均使用信用卡,舉例來說有三張各$1000額度的信用卡,請不要一張刷到$900,最好是每張刷$300,盡量不要再辦新的信用卡、辦理車貸,或是最好諮詢貸款經紀再做這些決定。

五、面試買房經紀:大致確定買房價格帶與學區後,也可以找一個有經驗的經紀人,從經紀人過去的買房數、加價度、經驗值是了解經紀人的第一步,再來可以見面觀察、聊聊買房方向與未來買房流程。這些準備,可以幫助你快速鎖定區域、順利買到房子。有經驗值的經紀人也能充分保護買家不在搶房的過程遭受風險。

六、了解買房流程跟時間:時間的掌握點很重要,為了避免急著買到房子,或是在這瘋狂的市場「搶」不到房子,我們要概抓一下時間,首先必須清楚知道租約到期時間、預先搬家所需繳交的違約金、如果需要month by month繼續租下去,需要多少時間給房東通知,又要繳多少房租,預期拿回多少押金。了解買房流程所需時間、了解什麼是「下offer」,什麼又是「Escrow、Title insurance…. 」什麼又是Close of Escrow? 等等。

七、開始線上看房:REDFIN、ZILLOW都是線上看房很好用的軟體,也有篩選功能,了解一下房子銷售速度、最近銷售價格、今年的銷售價格,應該是明年開春的房價基礎,可以先對區域行情有些概念。

希望這七大準備動作,可以對明年有買房計畫的你有所幫助。

明天我會寫一篇2018賣房或換屋的準備。

本文同步刊登於ETtoday房產雲

我是專職房地產經紀人,也是National Board of Realtors、California Association of Realtors、以及 Silicon Valley Association of Realtors的會員。

如果您有任何買賣房屋的需求。

請利用以下方式與我聯繫、預約看房或賣房分析

電話 408-505-3003
FB/電郵:chienmingwei@gmail.com
微訊:maggiechien002
LINE:chienmingwei
FB粉絲專頁:Maggie Chien-Realtor

Indigo11
這是我在一個Indigo社區看到的樣品屋房間,一個粉紅色的女孩房,好美。

請同業尊重,每一篇文章都是我花了很多時間寫的,也都親自去看過建案,請勿任意複製貼上,或是簡單改寫!如您要分享,請註明出處 https://maggiechien.com/謝謝。

 

2017 8月、9月矽谷房市行情報告

 

八月、九月的市場行情報告,反應的正是今年暑假的市況,我的Broker說,今年的房市是前所未有的熱烈,其實觀察周末看房人潮、下offer數,以及下列表格所呈現的Days to Sell (上市到成交所需天數),包括加價率也維持高檔,市況依然是供不應求,且相較於去年同期的成交量,其實listing數並沒有減少,成交天數減少許多,可見市場買氣非常濃厚。

最近在Sunnyvale看房,很多賣房主都是離開矽谷到外州、退休族群,房價維持高檔,換房者減少,其實不利於房市健康。 每一位將要買房的人,我都會告知,現在可是歷史高點,謹慎入市。但是如果你問我,房價會不會跌,目前經濟大環境很樂觀,矽谷就業機會多,有「信心」買房的客戶群不減,即使升息傳聞不斷,估計現在到明年房市,依然會溫和上漲。

 

 

Time frame is from Oct 2016 to Sep 2017 Postal City is 'Sunnyvale' Property Type is 'Residential' Property Sub Type is one of 'Single Family Home', 'Condominium', 'Townhouse' Results calculated from approximately 920 listings
Time frame is from Oct 2016 to Sep 2017 Postal City is ‘Sunnyvale‘ Property Type is ‘Residential’ Property Sub Type is one of ‘Single Family Home’, ‘Condominium’, ‘Townhouse’ Results calculated from approximately 920 listings
Time frame is from Oct 2016 to Sep 2017 Postal City is 'Mountain View' Property Type is 'Residential' Property Sub Type is one of 'Single Family Home', 'Condominium', 'Townhouse' Results calculated from approximately 580 listings
Time frame is from Oct 2016 to Sep 2017 Postal City is ‘Mountain View‘ Property Type is ‘Residential’ Property Sub Type is one of ‘Single Family Home’, ‘Condominium’, ‘Townhouse’ Results calculated from approximately 580 listings
Time frame is from Oct 2016 to Sep 2017 Postal City is 'Los Altos' Property Type is 'Residential' Property Sub Type is one of 'Single Family Home', 'Condominium', 'Townhouse' Results calculated from approximately 360 listings
Time frame is from Oct 2016 to Sep 2017 Postal City is ‘Los Altos‘ Property Type is ‘Residential’ Property Sub Type is one of ‘Single Family Home’, ‘Condominium’, ‘Townhouse’ Results calculated from approximately 360 listings
Time frame is from Oct 2016 to Sep 2017 Postal City is 'Palo Alto' Property Type is 'Residential' Property Sub Type is one of 'Single Family Home', 'Condominium', 'Townhouse' Results calculated from approximately 450 listings
Time frame is from Oct 2016 to Sep 2017 Postal City is ‘Palo Alto‘ Property Type is ‘Residential’ Property Sub Type is one of ‘Single Family Home’, ‘Condominium’, ‘Townhouse’ Results calculated from approximately 450 listings
Time frame is from Oct 2016 to Sep 2017 Area Name is '8 - Santa Clara' Property Type is 'Residential' Property Sub Type is one of 'Single Family Home', 'Condominium', 'Townhouse' Results calculated from approximately 1,000 listings
Time frame is from Oct 2016 to Sep 2017 Area Name is ‘8 – Santa Clara‘ Property Type is ‘Residential’ Property Sub Type is one of ‘Single Family Home’, ‘Condominium’, ‘Townhouse’ Results calculated from approximately 1,000 listings

 

Time frame is from Oct 2016 to Sep 2017 Area Name is '5 - Berryessa' Property Type is 'Residential' Property Sub Type is one of 'Single Family Home', 'Condominium', 'Townhouse' Results calculated from approximately 830 listings
Time frame is from Oct 2016 to Sep 2017 Area Name is ‘5 – Berryessa‘ Property Type is ‘Residential’ Property Sub Type is one of ‘Single Family Home’, ‘Condominium’, ‘Townhouse’ Results calculated from approximately 830 listings

 

MI
Time frame is from Oct 2016 to Sep 2017 Area Name is ‘6 – Milpitas‘ Property Type is ‘Residential’ Property Sub Type is one of ‘Single Family Home’, ‘Condominium’, ‘Townhouse’ Results calculated from approximately 490 listings
Time frame is from Oct 2016 to Sep 2017 Postal City is 'Cupertino' Property Type is 'Residential' Property Sub Type is one of 'Single Family Home', 'Condominium', 'Townhouse' Results calculated from approximately 330 listings
Time frame is from Oct 2016 to Sep 2017 Postal City is ‘Cupertino‘ Property Type is ‘Residential’ Property Sub Type is one of ‘Single Family Home’, ‘Condominium’, ‘Townhouse’ Results calculated from approximately 330 listings
Time frame is from Oct 2016 to Sep 2017 Area Name is '3 - Evergreen' Property Type is 'Residential' Property Sub Type is one of 'Single Family Home', 'Condominium', 'Townhouse' Results calculated from approximately 860 listings
Time frame is from Oct 2016 to Sep 2017 Area Name is ‘3 – Evergreen‘ Property Type is ‘Residential’ Property Sub Type is one of ‘Single Family Home’, ‘Condominium’, ‘Townhouse’ Results calculated from approximately 860 listings