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Game Theory
click here.
| Millionaire Households Rank in the World
Click
|
Toronto = GTA + City of
Toronto Map,
click here
Apply
Economics on Toronto Housing's Problem Solving
scientifically. Click
|
Click
Cost Buy home in 50 US's States in July, 2019. -
Click.
Salary needed to Buy Home in 20 major US Cities.
-
Canadian Millionaires
rank #2 by population in the World. Where they live?
(some update)
Click here
- See Up-to-Date "Wearing Mask":
Help Reduce COVID-19 transmission.
Can COVID-19 transmit by air-conditioner?
Save lives. Click here
- Reopen economy. Spike in COVID-19 cases in many countries.
- WHO (World Health
Organization) revises in
July 7, 2020, on COVID-19
is Air Transmission, Airborne, on Mask in June 1.
Take a while for WHO to get it right the important of Wearing
Mask & COVID-19 airborne. Which a Scientist
Professor recommended back in April, May (see Blog April, May)
that: "-
COVID-19 can spread via micro droplets, tiny
particle. Which can linger, stay aloft in the air, and
can travel in space in the air, poor ventilation. You could breath in
COVID-19. When
people talk loudly, coughing, sneezing, laughing in crowded public
gathering, bar, night club, restaurant, closed contacted, closed room space.
Need wearing Mask.
If known at early stage of pandemics, during virus peak lockdown in April, 2020 ".
Just in July 11, NHK Japan:-
WHO confirmed: - Aerosol spread possible -> Which means COVID-19
spread thru air, airborne. People breath in COVID-19.
Click here
(up: July 23, 2020)
- Intro of the
Author of Blog
Click here
- Toronto Home reopen. Latest Data in
October, 2020 -
Click Here
- We Explain Why Toronto Home Sales
plunge 54% but Home Price up in Blog June, 2020
(July, 2020)
Office applied during time of COVID-19 for social distancing Businesses, smart Cloud Businesses, re-open Economy
| What Office software
can do but not other software?
1) Office can work on multi-Devices VS. Other only iPad 2) Cloud Print VS. Local App Print = Print closed range in store's Pos printer only. Can't print order online, ecommerce order. 3) Customer self-take orders when in-store VS. Other software Can't. 4) All-in-one Office, only one App one software: For both Staff & Customer used for: Mobile Order, Order in Store, Order outside Store, Order online, E-commerce, Casher & Print receipt, Pickup/ Delivery, Shortest Distance, Order & Sales Management VS. Other software used by almost 95% of small Businesses, Restaurants just A big dummy Computer Cash Register *Stand alone* for Cashier to Register Orders & Print Receipt. Done. Staff & Customer Can't Take Order. Can't Mobile Order. Can't Take order from Mobile. Can't Take Orders Online. Can't E-commerce. Can't Manage Pickup/ Delivery, Can't Manage Orders Management. This tradition Cashier during COVID-19 is a big failure. One Office App runs on All 5 x Devices: 1) iPad 2) iPhone - 3)Tablet - 4) Android Phone like Samsung Galaxy 5) Windows Laptop. => While 100 millions Company Vend iPad Pos & 90% iPad Pos on market run on 1) iPad only. As you see the cost to build 4 x extra App = cost support & maintain 4 x Apps = 4 x Cost Time & Money. Do you know Office Order Management OOM: Manage all Orders, pick-up / delivery. - Which order does not pick-up, not delivery yet, with a lot of orders hard to keep track. 1-click Map of delivery of that Order. Track & Measure shortest Distance Delivery of each Order closest distance in 10, 15, 20 orders on List from WHERE the driver's location. Save Time & Direction of Delivery. -> The shortest distance always changed and updating after each delivery and depend up-to-date location of driver. Human can't measure. Most Drivers can't find the shortest distance relying on their experience guessing when on the road. Very complicated software algorithm. OOM Calculate: Total Sales, Detail of Sales, Products, Detail of Order, Date & Time of Orders... / day / week/ month. See top button [Office Slide Show] - OOM can always fix error in Orders after taken. From OOM Action = Edit, Print receipt, Email, OPay = Pay by Pay Pal (one click Office Pay send Pay Pal to email this customer) NOTE: Vend is 100 millions dollars software company, few hundreds of software developers. So far, Investors invested 100 millions in Vend Internet Company. It received 20 millions USD from Peter Thiel’s Valar Ventures and Square Peg Capital. https://blog.vendhq.com/post/64901824985/vend-raises-20m-funding-round-co-led-peter-thiels-valar-ventures-square-peg-capital. Recently, Vend Pos also received many other funding: 9 milllions, then 13 millions, 60 millions, and many other rounds. Investors invest in Software Company Vend Total value 100 millions. https://pitchbook.com/newsletter/vend-secures-9m-investment.
Contact Office:
SUPPORT FOR EARLY-STAGE BUSINESSES |
 - Office Mobile, Office Mobile Commerce Take order in store, out store, online & Cloud Print receipt  - Office Take Order use Tablet, iPad. -> Server need to clean carefully tablet's surface, whole Tablet. Clean every page of Menu, paper, after customer used for next one. Else not safe for both staff & customer. A lot Time. -> Phone better.  - New Reality Pickup & Delivery  - Office Mobile Order = Drive Thru & Office Order Management to order & Manage Orders. New reality Customers don't want in store, Social Distancing, which creates Smart Business -> All-in-One Office.  |
 A big dummy Computer Cash Register *Stand alone* -> Can park into a Mobile Cashier smartphone  - [Office Slide Show]  -> Big Dumb & Useless NOTE: Need smart Business, smart employees to adapt in COVID-19 time. Else no profit, no safety.-> Only the smart business can survival ------------------------  - All-in-one Office: Mobile Order, Tablet & Mobile Cashier, E-Commerce, Office Card, Self-Order, Office Order Management, Cloud Print, Pickup/ Delivery, Shortest Distance, Multi-Devices ... |
Update
October 2020
Still continuing...
Data just released on Oct 7, 2020:
Just in new Home Data for Vancouver,
Ottawa, Montreal in Oct,2020
City of Toronto Average
Home Price for all
Properties in Toronto for month September, 2020 is:
$1,022,051 compared to
Sep 2019 =
$913,018
-> An
increase $109,033.
Home Sales
Up 42%
a new record high of September month, compared to last year
Sept, 2019 when no COVID-19.
Home Sales of Semi Detached is high
48.8%,
Detached Home
28.1%,
Town Home
21.5%,
Condos
7%
-> Condos Listing Downtown hit 215% compared to last year.
Seems over Condos Supply for Sales, sign of weakness.
-> Semi Detached Home continues the most Demand Property, last month
August
82%,
this Sept month
50%.
GTA
Sept, 2020, Home Price =
960,772$
compared to
last year Sep 2019 =
$843,115.
-
In Sept 2020, Detached Home in GTA =
$1,104,866 -
Last month =$1,023,987.
Last year = $946,256
-
A difference
Detached Home in GTA with
Semi Detached Home Toronto =
$41,000
Home Price changed ups/ downs month to month not important, not
"real change". Compare year to year, take a year to see "real
change" more accuracy.
| Important News in October:
The reason for Home Sales &
Home Price in breaking-record high
because: 1) The Interest Rate As usually number #1: Still at 0.25% record low, borrowing cost to buy home is very low -> Demand up 2) The Supply issues - still lack of Home Supply -> Supply decreased 3) The pent up Demand up because in the time of COVID-19, people don't travel, stay local. So they shop for home, and pent up Demand from spring March -> May, when people stay home lock down during peak COVID-19. Now they buy home. -> Demand up. 4) All kinds of COVID-19 Benefit packages for Business and People. Canada pumps up 346 billions dollars into economy in order to support 37.6 m small population of Canadian, Businesses -> Demand up. Canada continues extending all kinds of COVID-19 Benefits Package that will end in Dec, 2020 until June 2021, . For example; Big benefit package like 1) CERB (Canada Emergency Response Benefit) each person lost Job, Self-employed like Taxi Driver, Yoga, Music Instructor, Contract Worker, who not qualify for EI (Employment Insurance)... Now got 2000$ / month from COVID-19 began in March 2020 should be ended in Oct 3, 2020, now extends to 6 months more. All kinds of COVID-19 Benefits like: 2) Wage Subsidize Program (CEWS Canada Emergency Wage Subsidy) to support Salary of Employees to 75%. Then COVID-19 Benefit for Support Business Rent, Commercial Rent 75%, Business Loan no interest, College Student Benefit each gets 1250$/ mo for 6 months has ended in Sept, 2020 when students back to school. Child Benefit 850$ / month/ child, 2 Childs = 1700$ / mo deposit direct into Mother's Bank account, regardless rich or poor family. Child Benefit support children until 17 years old. Not including all kinds of benefits from Province. 5) Mortgage, Rent deferral from Government Policy, Bank supports loan mortgage deferral for Home Owners 6) Economic Improvement. Job Growth. Canada sees much economic improvement. It is Consumer Spending accountable for 65% (in US 70%) of Economy, GDP, is powered up by Gov spending from all kinds of COVID-19 benefits 346 billions, Monetary policy from Central Bank lowest Interest Rate 0.25% in history, and the increase of Home Price across country. Most lost Jobs in low wage workers, such as, restaurant, travel. On average Middle Class Canadian asset across country around 350,000$. Ave Home Price across Canada is 464,000$, not including Vancouver, Toronto. Canada around 2 trillions GDP economy on population 37.6 m, the more population the more Consumer Spending. In 2019, its 2019 Export = 446.5 billions, 2019 Gov Budget = 355.6 billions, 2019 Consumer Spending = 1.2 trillions dollars (1187,398 Billion in 2019). Consumer Spending > More than Gov Spending + Export. How is CERB (Canada Emergency Response Benefit) in Transition to EI System and EI Rules. All in One System? Category 1) For those on CERB but do not qualify for EI like self-employed, gig economy, free lance, contract, music, yoga Instructor, Taxi, Uber driver ... in Category 1. Who do not qualify for EI because not working full time, not full time Employee. They will be transferred from CERB expired on Oct 3 to EI System and Rules. They will get 2000$ / mo for 6 months, or 26 weeks, from Oct, 2020 -> April 2021. Category 2) For those who on CERB but qualify for EI like full time Employee of a company. Who qualify for EI because working full time. They will be transferred from CERB expired on Oct 3 to EI System and Rules. They will get 2000$ / mo for at least 6 months depend on their work status. For example, an employee started working full time 8 months for a company in Category 2, on Jan 2020 then was let go because of COVID-19 in August, 2020 after 8 months. Total Insurable Hour = 160 x 8 + 300 extra benefit insurable hour = 1580 insurable hours. Because in time of COVID-19, Canada made easy for people to qualify for EI, it pus the Employment Rate to at least 13.1% -> Thus EI Benefits amount allows this person will get work 8 months get 45 weeks benefit. (= Maximum of number of benefit weeks entitled in EI is 45 weeks) - Each week = 500$. While those gig economy in category 1, who not qualify for EI get only 26 weeks. Based on the minimum weeks of benefits entitles of EI Rules For example, an employee working full time 4 months for a company in Category 2. Total Insurable Hours = 4 x 160 + 300 hour benefits extra = 940 insurable hours. According EI Benefit based on Unemployment Rate of 13.1% - The total Week Paid Benefits for work 4 months = get 33 weeks benefit of benefit 500$ / week. => From View of Computer Scientist System Analyst & Design, this is easy to implement the Rules and System Design = All in One System + Avoid mistake payment of benefit. This is easy to modify computer system. There were already EI Rules built in the EI computer system, already design & built. All we need to do is to raise the EI Rues make it easy for people to qualify + more weeks of benefit. Or to lower the EI Rules make it difficult to qualify + Less weeks of benefit. We just need to adjust the Rules. For example, in time of COVID-19, raise to Benefit paid based on Unemployment Rate to at least 13.1%. Thus more people qualify for EI + More weeks of benefit -> Every one shares the same Rules. For example, when COVID-19 is over, all we need to do is lower the Unemployment Rate from 13.1% standard in the time of COVID-19 now to local level like before pandemic in Toronto = 6% Unemployment Rate -> Harder qualify for EI and Benefit paid less weeks. Those people in Category 1 will not qualify for EI. People in Category 2 working for 4 moths will not qualify also, because not enough Insurable Hours = 4 mo x 160 = 640 Insurable Hours applied before COVID-19. EI Rules before COVID-19 : Need minimum 700 Insurable Hours for Unemployment Rate <= 6% and Benefit weeks = 14 weeks. Not 33 weeks now. And the benefit will be much less than 500$ / week. Work minimum wage 14$, 15$ / hr -> Will get around 290$ / week before COVID-19, not 500$ / week in time of COVID-19 => Later Gov can always change EI Rules if Economy improves. Or The Minority Government currently the Liberals is forced in new Election. - Which will affect people apply for EI later, not affect for people already applied. For example, vaccine out, COVID-19 over, economy improve, in Jan 2021, Gov will change EI Rules back to normal. People already applied before Jan, 2021 will still entitle to benefit as now. New people apply for EI in Jan, 2021 will get EI Rues back to normal as before COVID-19. Canada's Job Data this month good improvement, suggesting Canada Economy in recovery. - The current Minority Government Liberals could be forced in new Election any time. The New Government will change the New Rules for COVID-19 Benefits back to normal. => The Rule is the Rule, same for every one. For example, a person says:"- I have been working for 10y then got laid off because of COVID-19. I got 45 weeks maximum like the person working only 8 months?" - Yes, you get 45 weeks maximum of benefit. The Rule is the Rule. => This is an example of EI System is built by Computer Scientist Analyse, Design, and Build Computer System. There are Data & Rules. No mouth. Child Benefit helps the rich, the middle class or the working class, the poor? - Canada has good Child Benefit rank #3 in the world, after Norway, Denmark. Child Benefit helps Canadian families regardless rich, poor, classes, and increase population. But actually help the middle class, the rich more. The average asset of a Canadian middle class is 350,000$, high in the world. In Singapore around 280,000$. The working class, the poor need work hard at least 80 years to have such money 350,000$. See CNBC How Much and How Long You Save to Buy Home in US. Depend on where you live. We use Data source from big Financial Institution CNBC, not from mouth. In Chicago, Illinois good city, save 51,000$ take 19 years. Have 100K = 38 years working hard. The working class can't afford to have children even good Child Benefit, because there is cost to have children, mostly Child Care. Both working class parent need working. -> Thus need Child Care, very expensive. Thus most cost. While a middle class family already have 350,000$. The wife can afford stay home take good care of children. And have 1700$ deposit into the mother bank account, not the father. And also save a lot of money for Child Care, and take good care their children. https://www.cnbc.com/2019/06/11/salary-needed-to-buy-a-home-in-major-us-cities.html Since 20y ago, every year Toronto Home has returned 65,000$ -> 75,000$, which is equal to salary 150,000$. This year 2020 compared to last year, it returns 196,000$. See we explain below. In October 2020, Ave Home Price for City of Toronto for month September 2020. |
| Home Average | September, 2020 | Last Year Sept, 2019 | Compared to last year Sept, 2019 |
| Detached Home | $1,487,122
up 9.4% Home Sales Up: 28.1% Compared to last year Aug, 2019 |
$1,360,623 |
Price Up
9.4%,
$126,499 (this month big winner Home Price) Before COVID-19, In Feb, 2020 Detached Home = 1.48 millions. Post COVID-19, In June, 2020, Detached = 1.52 million dollars. At peak, Detached Home in Toronto = 1.56 millions dollars |
| Semi-Detached Home | $1,145,559
up 7.2% Home Sales Up: 48.8% (this month big winner Home Sales) |
$1,069,119 | Price Up
7.2%,
$76,440
Pre COVID-19, In Feb, 2020 Semi-Detached Home = 1.20 millions. Post COVID-19, In June, 2020, Semi = 1.29 million dollars. At peak, Semi Detached Home in Toronto = 1.33 millions dollars |
| Town Home | $868,005
Up
10.3% Home Sales Up: 21.5% |
$785,890 | Price Up
10.3%,
$82,115 Pre COVID-19, In Feb, 2020 Condos = 846,465$ Post COVID-19, In June, 2020, Town home = 853,339$. |
| Condos | $686,191
Up 7.7% Home Sales Up: 7.0% |
$636,817 | Price Up
7.7%,
$49,374 Pre COVID-19, In Feb, 2020 Condos = 722,675$ Post COVID-19, In June, 2020, Condos = 672,465$. |
=>
Home Sales is up in breaking
record, specially Semi
Detached
=> Sales Condos is not much only 7.7%, because: 1)
COVID-19 people don't like to live, sharing with others, ups/ downs
in elevators, corridor 2) People put up Condos for Sales in
record, Listing up 215% compared to last year. Sign of
weakness 3) People work from Home. So they buy home outside Toronto,
suburban more space, cheaper than Condos in City of Toronto.
=> The Average Home Price in City of Toronto still above 1 million
dollar = 1,022,051$
5 biggest Canadian
City's
Data released on October, 2020 for Home Data
September,
2020.
| 5 biggest Canadian City | Data for Sep, 2020 Average | Last Month Aug 2020 | Last Year, Sep 2019 |
|
Vancouver.
675,000 population, Tourism, Film Industry. Province BC -> Rank #4 Ave Home Price in the world 1) Hong Kong 2) Singapore 3) Shanghais 4) Vancouver & Toronto 5) Shenzhen 6) Los Angeles 7) New York 8) London 9) Beijing 10) Paris -> by CNBC -These Cities' Home Price down alot in COVID-19. - Toronto takes over Vancouver higher price in all categories of property: Detached, Semi, Town Home, Condos |
- Ave Home
$1,041,300
Home Price
up 5.8% Comp Last year
Aug, 2019.
Ave Home Price Vancouver Not change, compared Sept,
2019. While Toronto Up 20% = $196,000.
- Ave Detached Home = $1,507,500 Price up 7.8% Comp Last year Sept, 2019 - Townhouse $809,900 Price up 5.2% - Condo $685,800 Price up 4.5% |
-
Ave =
$1,038,700 - Detached Home = $1,491,300 - Townhouse $806,400 - Condo $685,800 |
-
Ave Home =
$1,006,200 - Ave Detached Home = $1,406,200 - Ave Townhouse $767,500 - Ave Condo $651,500 |
|
Montreal.
City of Province Quebec 2rd biggest City Canada after Toronto 1.75 millions population, Montreal University, McGill University. |
Ave Home Price
$477,609
Price
up 15%
Detached = $430,000 up 0.6% Y/Y Condos (Apt) = $318,000 down 2% |
$440,000 | Ave Home Price $417,402 |
|
Ottawa 1,000,000 population or 1m, Capital Canada. - Ottawa Capital is civilized, quiet, good place to live, less crowded, less all kinds of people like Toronto, mostly white color Employees working for Government Offices. - Affordable Home and Rental. A Semi Detached Home in Toronto can buy 2 x Detached Home in Ottawa |
Home Sales
up 43.6%
Comp Last year Sep, 2019.
Ave Residential-Class Property Home = $581,457 Price up 27.5% compared Last Year Sep, 2019 Ave Detached Home = $675,661 Price up 26.2% compared Last Year Aug, 2019 Ave Condo = $382,622 Price up 21.6% compared Last Year Aug, 2019 |
Aug, 2020,
Ave Home =
$592,548 Ave Condo = $373,640 |
 This Detached Home in Ottawa 4 bed-rooms 529,500$ -> Click see bigger photo |
|
City Calgary.
Province Alberta 1.26 millions population, Canada Center Oil Producers. |
Home Sales up
25%
compared to last year Sep, 2019. Ave Home = $421,700 Price down 0.2% Detached = $488,800 up 0.9% Y/Y Semi = $393,900 down 1.8% Y/Y Town Home = $393,900 down 7.1% Condos (Apt) = $248,800 down 0.4% |
Last Aug Ave Home =
$420,800
Detach = $488,100 Semi = $393,700 Town Home = $393,900 Condos (Apt) = $247,100 |
|
|
Kitchener- Waterloo 234,000 population, Hi-tech, Start-up, Canada Silicon Valley, Waterloo Univ, Head Office of Black Berry, Nortel, Head Office of Google Canada ... |
- Ave Home
$637,691
up 17.5% compared to last year.
- Detached Ave = $768,7627 Price up 25% - Semi = $544,874 Price up 16.5% - Town Home = $476,636 Price up 8.7% - Condo = $390,690 Price up 13% |
Last Aug
Home Ave =
$634,409
- Detached Ave = $734,427 - Semi = $535,300 - Condo = $386,972 |
 |
GTA (Greater Toronto Area) District around Toronto. Population around 6.2 millions. GTA Ave Home Price = 960,772$. Include: York Region, Peel Region, Halton Region Rest of GTA (905) = 931,834$. Include: Durham Region City of Toronto, or 416 phone area code, population around 3.3 millions. 2 biggest University of Canada is : York University rank #2 in North York, University of Toronto, rank #1 in Downtown. where Ave Home Price = 1,022,051$. City of Toronto, 3.3 millions population. Its Municipality = North York, Etobicoke, East York, core Downtown Toronto. Top 5 Biggest Cities in US & Canada: 1) Toronto = 9.5 m, City of Toronto for Toronto, where Stock Market TSX, Center of Banks, Financial Institution, Manufacture Hub. Population = 3.3 m. 2 biggest University in Canada is York Unv #2, U of Toronto #1 in City of Toronto. City of Toronto is Capital of Province Ontario. 2) New York = 8.6 m. City of New York is Manhattan, where Stock Market, Down Jones, NASDAQ, UN Headquarter, Center of Financial Institutions US, population = 1.7 m (Manhattan like City of Toronto for Toronto). New York is Capital of State = New York State 3) Los Angeles 4m, 4) Chicago 2.8 m 5) Houston 2.3 m Toronto = GTA + City of Toronto A lot of confusion using Ave Home Price for Toronto. Some Media Companies use only one Ave Home Price = GTA Ave Home Price = 960,772$ for Toronto. Make it simple. We use Ave Home Price Toronto for City of Toronto (416) = 1,022,051$, not Toronto GTA. |
- We will continue update more Data soon
| In Oct, 2020:
How To
Become A Millionaire and Who is A
Millionaire with few Rules
applied? A Data Scientist and Professor, said: "Use Data no Mouth. The way Data Scientist Collect Data, Relationship Data, Correction Data, Analyze Data, Normalize Data in different Conditions -> different Methods.  Find
Millionaires
search thru millions of
Homes, Condos, all kinds of properties in Canada is
impossible
-> No Law allows. Can't ask millions of home owners in
Canada list their Asset.
In Canada, US, this is invasion of privacy.
Then "- How do you know
their asset? "
- Take 10 years + thousands of staff to do
Statistics to collect hundreds of thousands of Data. Cost hundreds
of millions of dollars ->
But there is Methodology by Data Scientist.
Experienced Data Scientist can get Data. Canada
is a rich industrialized G7 country. A lot of millionaires.
Rank #2
by Population in the World, after US.
Every one wants to Become A Millionaire. Not easy.
Need to follow the Data and the Rules applied for "every one".
No biased, in fairness, inclusive.
Simple not complicated "Rules". We explain the
Rules below. I know a lot of
Professors, salary over
100,000$,
but a lot of them are not Millionaires. See A
Story in this Blog. If you not
yet, wait for your time will come. We wish you work hard, contribute
to society, and proud "Become
A Millionaire", which is
a huge contribution to
society, top 4.9% Canadian
population. No jealousy.
=> 90% of Middle Class Home Owners Asset is Home. Who Buy either Detached Home or Semi Detached Home with 1) High Deposit at least 25%, 2) Ownership at least 20y 3) Location Ave Home Price = A Million Dollar Home like in Toronto, Vancouver (Ave Home Price rank #3 in time of COVID-19 only after Hong Kong, Singapore in the World. But now, Toronto surpasses Vancouver) -> Become A Millionaire => You Are A Millionaire on top 5% of population in Canada. After combined all assets: Home + Car + Bank Acct + 401 K + Misc stuff - Debt. -> Based on latest "official" Toronto Home DATA in 2020. No mouth Data he said, she said. How
to find
Millionaires
people who satisfy these 3 Rules?
- Easy.
-> 1) When? Go back 20y career - The Rule needs 20y Ownership. Need pay mortgage at least 20y. But started career 20y ago doesn't mean you can buy home right away. Take at least 12y after started career you can Buy Home. Then in Toronto, Home already double Price every 10y. You missed. Unless you were a Professor Buy Home within a year. -> 2) What was He/ She doing at the time Buy Home? - The Rule needs at least 30% of Deposit. This is your career, salary, income at the time Buy Home. High Income -> High Deposit. See A Story in this Blog: 20y ago, A couple working in Factory take them 15 years to Save 25,000$ in combined Salary to Buy Home small Deposit 10%. While it takes a Professor 50$ /hr working for 3 months to have 25,000$ back 20y ago. See also Data from CNBC:= How Many Years People Saving Money to Buy Home -> https://www.cnbc.com/2019/06/11/salary-needed-to-buy-a-home-in-major-us-cities.html -> 3) Where they live? The Rule needs Location that has Ave Home Price = A Million Dollars Home. Like Hong Kong, Singapore, Vancouver, Toronto, Shanghais... Top 5 Cities in the World by CNBC, has Ave Home Price = A Million Dollars Home. Canada has 2 Cities Vancouver, Toronto in Top 10 Cities high Home Price in the World, China, US as well. During time COVID-19, most Properties, Home in top 10 Cities in the World Home Price dropped a lot. In Canada, Vancouver does not drop, stand same Home Price last year 2019. See Data in this Blog. Only Toronto increased 20.1% = 200,000$ this year 2020. => This 3 Rules will help "filter" a lot of Data. If not filter, the population of Millionaires in Toronto could be more than Japan's population of millionaires, currently rank #3 in the world. NOTE: These 3 Rules can apply for all Cities in the world. Help quickly filter a lot data. Easy making decision. A lot Leaders in Business Don't Make Decision Using Data, biased, lack of ability "Problem Solving", lack of capacity to Analyze, see far, making no good decision 1) Should trust Data than trust mouth Data. -> No good, Listen to mouth data, he said, she said. For example, A person said :"- My Home is 1.5 millions dollars, but he/ she doesn't say 1.2 million dollar Mortgage Debt." For example, 20y ago, Took a couple working in Factory 15 years to save 25,000$, to Buy Home with 10% Deposit, Ave Home 20y ago = 217,000$. While took a Professor only 3 months, 50$ / hr to save 25,000$ -> 95% people don't believe until proven Data, change their thinking. NOTE: 20 year ago, factory, minimum wage = 5.50$ / hr, 25,000$ was a lot. 2) Trust Data more than Experience. While Experience of course is very important. But because a lot of people gain experience thru their own "Human Intelligence" of Believe, Assumption. Different people have different belief, biased, lack of knowledge, lack of Data, not scientifically Data proven. Experience also depends on different Backgrounds, a Professor, an Engineer, A Scientist .. their experience different with people who are not. For example, different Manager, Sales Manager each has its own different experience about sales, management. Who do you trust? If listen to no good advice, the company will stay the same, never grow, no innovation. For example, A company in Business as usual for 20 years of business experience, no new Ideas, no Innovation. Until, one person from outside of the box comes inside and changed every thing. While inside Managers 20y experience see nothing like no experience. 3)Trust Data more than Words. Because words make people feel good, but Data not. Why? Because Data is honesty. Human Behaviour is Basic Instincts, pattern of behaviours, feeling, like, hate, love, making decision response to different situation for survival, evolved thru Human Evolution for thousands of years, Greed & Fear, like Gain more than Lost... Thus make decision not good. For example, 95% people who Buy Home 1.5 million with 20% Deposit = 300,000$ -> Think they own 1.5 millions Home, ignore 1.2 million dollars Debt. Lack of good judgment. This is Human Behaviour, most don't like Data. => Find When, Where, What -> Look at Linked In social media. 95% Professionals with University Degree, Have Professional jobs -> They Have Linked In. Thus, we can tell a person is millionaire or their asset. Because Linked In will tell a person 1) When Started working 2) What Career 3) Where they live. A person no Linked In account is not A Professional, like Engineer, Scientist. If
you are A Millionaire ->
Take time 20y for You Work hard & Save
65,000$
/ year in 20y. Which means 1) You need salary or Income at least
150,000$ / year for 20
years. Because after Income Tax, Living Expensive you Save
65K -> 75K / year. Take 20
year Work hard 20y & Save 65K / y = Become A Millionaire. OR:2) Just Buy Home in Toronto. Then Work hard 20y for Home please. Its Return On Investment ROI = 65K -> 75K in 20y. Most Toronto Millionaires Become A Millionaire By Home Rich.
Wish you Become A Millionaire. No mouth Data please. For example, a person shows his home, said: "-
I buy this Home 1.5 millions dollars" ->
Actually, 1.2 millions Debt.
Big Debt to Nothing.NOTE: - When we "Collect Data" hundreds of thousands even millions Data Set (Table Data with many fields), we Normalize Data all the same based on the same rules. No biased. For example, we don't pickup some areas, some expensive home, "mouth Data" in order to present as a whole population. Different situation has different way Collecting Data. Collect Data Sales Orders, generated from millions of Customers ordered online is easy. Sales Data is stored Database is different with Collect Data of Millionaires in population, more difficult, not available in database. Sales Data, Customer Data is easy to find, measure. For example, Measure Total Sales, Total Tax, " - How Many Customers ordered more than 1531$ " from 100 millions of Customers = Easy. But hard to measure How Many Millionaires in population. But with the "Business Rules" applied "same Business Rules applied on Data" for every one who satisfied these Rules. We don't know Who are they, fairness, no biased -> We can Normalize Data, filter Data, find Data of Millionaires population easily. It is like "How Can We Find The Most Expensive Home Price Top 10 in the World" - Each city has millions of Home, each Home is different values, each street different, each area different ... Even poor city still has Home worth 2 millions dollards. Hundreds of thousands of mouth Data, my home price, my friends home price, this area Home Price. A person in Mississauga, in GTA says "- This Home worth 2 million dollars" straight from mouth. Then x hundreds of thousands mouth Data. Suddenly, a whole Mississauga City's Home worth 2 millions dollars Home.. No "Official" Data, only mouth Data. But actually, Ave Home Price in Mississauga around 800,000$. A person says "- In Tokyo, this area Home worth 3 millions dollars. Why not on Top 10 list?" - Pickup some expensive area A person, after graduated from school, just working 5 years, says "- I bought this Home 1.5 millions dollars." A person says "- I have Home and car" . But Total Asset = 50K. Buy Home 400,000$ with 10% Deposit + Used Car 10K = 50K A person, started working in factory, or low wage, 15 years, says "- I bought this Home 1.5 millions dollars." NOTE: Took a couple working in factory 15 yeas to save 25,000$. Also see CNBC data. On Average, take 12 years working for Saving Buy Home with small Deposit like 10% for Home Price around 300,000$. But, we talk about Toronto = A Million Dollars Home. A Professor, started working 12 years, salary 100,000$, says "- I bought this Home in Toronto 1year 1.5 m " -> Using Data, Could you analyze what is the difference between them? We don't talk about 300,000$, 400,000$, dollars Home. It is 1.5 millions dollars Home. -> Since Toronto Ave Home = A Million Dollar Home -> A lot people in Toronto say mouth Data, when asked. Look like almost 90% Toronto people are millionaires = More 5 x Millionaires than Japan. While Data tells only 2.5% = around 260,000 millionaires in population 9.6 m. -> "Mouth Data" every where. People use mouth data like mouth data. How can you compare Hong Kong with Toronto, compare Vancouver with Toronto? When Collect Data, Analyze Data, Scientists don't use mouth Data, a lot of noise. Use "Official Data", Ave Home Price Data, doesn't matter a Person says. It is mouth Data that makes Housing Market unstable, affect Home Price. All applied Data same Rules. Let's Data itself speaks honesty. Not mouth. Why Deposit?
Update Oct 5, 2020
- Very important.
In the Story, 20y ago, it takes 15 years for a couple working very hard to save 25,000$ for 10% Deposit for Ave Home 217,000$. Thus Deposit 20% = 50,000$ take 30y work hard = Buy 2 x Homes of 10%. Thus the couple can't Buy Home, because extra working hard 15 y = Home double Price in 10y in Toronto. Deposit 30% = 75,000$, take 45y work hard = Buy 3 x Home of 10% Deposit. Impossible for the couple Buy Home. A different in 10% of Deposit = Extra 12 years of Payment to pay off Home = Cost extra hundreds of thousands of dollars. A 5%, 10% Deposit will take at least 30y, 35 y, 40y pay off Home. Buy Home 10%, 5% by low income, low salary, is not the same as Buy Home 20%, 30% -> Check low income -> Buy Home 5%, 10% Deposit for sure. A different between 10% Deposit and 20% Deposit is at least extra 10 years payment more. Assume you pay 3000$ / month mortgage (small) = 3000$ / m x 12m x 10y = 360,000$ extra payment Debt. Like Mortgage Debt, people ignore extra 10 years of extra payment Debt. Why Home Ownership? - Most people with Ave Income not High Income, Buy Home at least 30 year, with small Deposit. So Buy Home less than 15y with 10% Deposit, ownership around 40% is still Bank's Home. Because the first 15y you pay more for Interest Payment like 75% of "loan" you borrowed when Buy Home, specially when small Deposit like 10%. The first 15y, you pay for actual Mortgage Principle around 25%. For example, you borrows 10,000$ loan from Bank. Each month you pay 299$ / mo, only 99 $ into principle of loan = 10K - 99$, 200$ for Interest of loan. After 15y, payment acceleration for Mortgage Principle more than Interest Payment, because less money for interest. => Need work hard for Home at least 20y, specially when Buy Home low Deposit. => Check @ the Time Buy Home: Go back 10y, 15y, 20y "- What was he doing? Low wage, thus small Deposit 5%,10%, different with Engineer, Professor. " Or the Salary of the person at the time Buy Home. What was he/ she doing @ the time of Buy Home => % Deposit high or low Why Location? -We look at "Location" Ave Home Price = A Million Dollar Home, based on "Official Data" from reliable source. We use Average Home Price Data to calculate and compare. Without Average Data, you can't calculate and compare Hong Kong, Singapore with Toronto, Vancouver. You can't compare Toronto with Vancouver without Average Home Price. Otherwise, people in Vancouver say their Home Price is most expensive using thousands of mouth data, everywhere: My home Data, my neighbour Home Data, my friend Home Data, this street Home Data, this area Home Data.... Impossible for Scientist to calculate and compare. A person in Vancouver on TV said "- Homes in Vancouver on this street around 2 millions". Straight from mouth not based on any Data. A person in Toronto said "- In Toronto Homes on this street around 3 millions. " -Straight from mouth That's why Toronto now is leading Vancouver in all Home Price of all categories when compared Average Home Price Vancouver with Toronto. Toronto, Vancouver Home Price very high, rank #3, 4# in the World according to CNBC after Hong Kong, Singapore, specially in the time of COVID-19 . Which is different with other Locations in Canada, US and around the world. Become A Millionaire -> We look at Location, where Ave of Home like Detached or Semi Detached in "Official Data" of Home Price Average = A Million Dollar Home. We don't
look at mouth data, he said, she
said, they said ...Mouth Exacerbation,
Not scientifically.
Show
me the Data please -> All Official Data provided
available ** right here ** this Blog. Scientist speaks
Data, no biased. <=> Honesty is #1
-> See Become A Millionaire explain below in this Blog. We will update Home Data for Toronto and biggest 5 Cities in Canada soon. |
 Started life = 0. No Inheritance, no Help from family, no Privileges. Millionaire By Population: In Canada, Millionaires in 4.8% , US 8%, Japan 2.7%, S.Korean 1.8%, UK 4.9%, German 3.2%, Singapore 4.0%. - Adult Population over 18. - In Toronto around 2.5% Millionaires, 260,000 in 9.6 m population.  Follow
the Data and the Rules I show you please.
Use your brain.
No listen to non sense mouth, no Data only words. My best adviceBecome A Millionaire Need: Take time 20y Work hard & Save 65,000$ / year. Continuously 20y no lay off. Choose 1 or 2 1) Need Income or Salary 150,000$ / year + Work 20 years 150K continuously. Continuously. No lay off. Not Having that Income 150K / y in 5y or 10y. Must Have 150K / year Income at least 20y. After Tax and Living Expensive you have 65K -> 75K / y. Why
150,000$? Here is
calculation:1) High Income -> high Income Tax = 31% = 46,555$ 2) Rent or Mortgage = 12mo x 2200$ = 26,400$ - Ave Apt Rent in Toronto = 2200$ / mo - Usually High Income live in high luxury Condos more expensive. If Mortgage even more expensive than 2200$. Just Income Tax + Rent = 72,955$ = 50% or 1/2 Salary 150K -> Tax, Rent must pay where you live. Not Include: Then: Car Loan + Gas + Car Insurance + Car Maintenance + Phone, Internet, Restaurant + Travel + Misc Spending, Misc Fees + Cloths + Beauty + Hospital + Debt/ Loan ... You need around 150K / y to Save 65K -> 75K. -> That's why even Professor 100K /y working 20y No Home in Toronto can't be a Millionaire. OR: 2) Just Buy Home in Toronto with high Deposit like 20% up. Then Work hard 20y for Home. Already proven in the past 20 ỵ Since Jan, 2018, in Canada, not in US, Stress Test requires Buy Home at least 20% Deposit and high Salary. Is it too late, too expensive Buy Home in Toronto now? -> NO. People have been asking this question 20y ago. Move in Toronto, big City, not move out to small City, small Town. Millionaire created in big City not small town. Said a Scientist Professor, who started career in Toronto as Professor 20 y ago with Salary 100,000$ / year or 50$ / hr, Teacher = 12$ / hr, Software Engineer 13$ / hr, Factory 5$ /hr, who has been thru 20 y in Middle Class Toronto. He has been following Data & doing Research every month about Toronto Home since 2017. All
Data provided are "Official
Data", not "mouth Data, he
said, she said, they said Data" => So that you can verify.However,
don't need to know Who Is
Millionaire. All you need to
know is every year since 20y ago, Toronto Home has returned
65,000$ -> 75,000$,
which equal to salary around 150,000$
.
This year 2020 compared to last year, it returns
196,000$NOTE: This Data makes people feel good. But we don't use Data to make people feel good or bad, like it or not. We report Data, and make sense of Data. |
That's
why need working hard 20y paid off
mortgage. That's why Data tells only 250,000
millionaires, 2.5% in Toronto & GTA of population 9.6 millions,
while the number of A Million dollars Home
much more than the number of A Millionaire.
Having a lot Data, access to Data
doesn't mean understand Data. Need Data & Computer Scientist used
Data see far, and Make sense of Data. |
A Story: That has some history about Toronto Home Market, and common people who live in this lovely big city. How They Buy Home back 20y ago. - In Toronto, I know so many people, couples, families. As a Canadian Scientist, I understand, know Toronto deeply because I wear all kinds of shoes, poor, working lass, middle class, factory, scientist, professor. I live in Toronto many decades, an educated scientist, and come from very poor, no privileges, started life = 0 in Toronto. Like immigrants in new country, they worked so hard, low wage to make ends meet. Can't back to school, no education, Factory is only place they go. I used to work in a car factory when young. Two people operated a machine, that was cutting parts for car. One person ran machine. I picked car part came out from machine, put in a wagon, arranged part in order. Then tied them. I picked a part around 5 -> 10 pounds, must be fast, put in a wagon. Or else parts dropped on floor. Thus stopped machine, less parts making, no productivity. I could get fired or blamed. It is called "fast pace environment" need flexible like bamboo - Before me, a worker, 6ft strong, could not stand for 3 months. Then he quit. After done a day going home, I disarrayed both psychically & mentally even very young at 18. People work in factory all had car. They can't afford spend hours taking bus back & forth, after a working day stress and tiered. Need get up early in the morning and on time. Few times late, you could be fired. Canada winter snow. Go work by car better than take bus. Thus low wage and cost more, hardly save money after living expensive. - A young couple came Toronto in 1983 as immigrant. In 1983, Ave Home = 105,000$. - They started career working minimum wage around 4.50$ / hr = 720$ / m. Both had car go work. Took 15y Saving 25,000$ for a small deposit 10% to buy a home in 1998. - In 1983, Ave Home = 102,000$. But need Save money for a deposit. -> Took them after 15y saving, in 1998, Ave Home = 217,000$ already double. Lucky they had saved 25,000$ in 1998 buy home with small deposit 10% -> Today, July 2020, Ave Home = 1,017,320$ -> Now, they are rich in mid 50s. According to CNBC, Saving depends where you live because of Living expensive. In Ohio, Columbus, less expensive City, in today money take 12 years to save 29,000$, in Chicago, Illinois take 17 years to Save 50,000$, in New York City, take 36 years to Save 109,313$ , in Los Angeles take 43 year to Save 120,000$. The couple live in Toronto 30 y ago money, not today money, working minimum wage, both have car, take 15 years to save 25,000$ is good Saving 20y ago. Even today, after 10y working, in Toronto a lot people Have 0 still in debt. -> https://www.cnbc.com/2019/06/11/salary-needed-to-buy-a-home-in-major-us-cities.html
- Today buy home harder even minim
wage = 14$ / hr, a combined salary = 28$ /hr = 53K /y, harder
Buy Home + Stress Test, hard policy. Today, in Toronto required
salary = 130K /y + high Deposit not 10%. Because Home Price up so
fast than salary. 1998, 2000 mini wage = 5.5$ / hr -> 2020 = 14$
/hr, up 2.5x time. Home 1998 -> 2020 up 5x time, from
217,000$ in 1998 -> July 2020, Ave Home
= 1,017,320$. + Rent, Life Expensive up
fast by inflation -> Harder Buy Home than 20y
ago.
|
Update September 2020
Data released on Sept 5, 2020:
Average
Home Price for all
Properties in Toronto for month August, 2020 is:
$1,012,506 compared to
August 2019 =
$816,845 -> An
increase $195,661,
Home Price up 20.1%.
Home Sales
Up 40.3%
a record high, compared to last year Aug, 2019 when no COVID-19.
Home Price changed ups/ downs month to month not important, not
"real change". Compare year to year, take a year to see "real
change" more accuracy.
Toronto takes the lead, surpasses Vancouver
Home Price in all kinds of
Properties, Home, Town home, Condos.
In GTA
(Greater Toronto Area, districts around Toronto),
August, 2020, Home Price =
951,404$ compared to
last year Aug 2019 =
$792,134
-
In August 2020, Detached Home in GTA =
$1,023,987 -
Last month =$1,060,318.
Last year = $946,256
Important News:
The reason for Home Sales &
Home Price in record high
because:
1) As usually number #1: - The
Interest Rate still at 0.25% record low, borrowing cost to buy home
is very low -> Demand up
2) The Supply issues - still lack of Home Supply -> Supply decreased
3) The Demand up because in the time of COVID-19, people don't
travel, stay local. So they shop for home, and pent up Demand from
spring March -> May, when people stay home lock down during peak
COVID-19. Now they buy home. -> Demand up.
4) Canada pumps up 343 billions dollars into economy in order to support 37.6 m
small population of Canadian, Businesses all kinds of COVID-19
Benefit packages -> Demand up
Why Condos Sales is not much
only 9.2 % in Toronto?
- Because Condos usually
attract young buyers, who don't have enough down payment, salary
requirement to buy Home. They
work in Toronto or Downtown. In COVID-19 time, people are working
from home, from anywhere. And also because "The
condominium apartment market experienced a dip in sales and new
listings in the second quarter of 2020, as many potential buyers
moved to the sidelines as a result of public health measures taken
to combat COVID-19 and the resulting economic downturn"
->
People are afraid to live in Condos, where
they share with a lot of crowded people, up/ down in elevator, in
corridor with a lot people, crowded every day.
-> So they choose to buy home far away outside Toronto, where they
live outside Toronto, their home town but got job in Toronto. They
need 1) more space, avoid COVID-19 in Condos 3's C =
Closed Contacts, Crowded Places with many people, Confined Spaces,
still 2) work from home, 3) get good price of a Home
outside Toronto, suburban, around
600,000$,
same as Ave Toronto Condos =
673,714$
in Toronto.
This is pushing Home Price outside Toronto higher. However, Condos
rental is up 40%. The Ave Condos rent about 2083$ / month in
Toronto.
When not enough money for
down payment around
200,000$,
and salary requirement to Buy Home in Toronto around
130,000$,
either they choose 1) Condos Rent or 2) Buy Home out side Toronto,
work from home, more space, less worry COVID-19 living in CONDOS,
cheaper Home Price outside Toronto, same price with Condos in
Toronto. That's why you see big building office of the big banks,
big head office of corporations are empty in Downtown in Toronto.
Because people work from home ->
That's why Home Sales of
Condos in Toronto not much only 9.2%.
According to a Scientist Professor:
In general, when Supply is
low, and Demand is high -> Price is increased, higher, and vice
versa.
5 biggest Canadian
City's
Data released on September, 2020 for Home Data
August,
2020.
| 5 biggest Canadian City | Data for Month August, 2020 Average | Last Month July 2020 | Last Year, Aug 2019 |
|
Vancouver.
675,000 population, Tourism, Film Industry. Province BC -> Rank #4 Ave Home Price in the world 1) Hong Kong 2) Singapore 3) Shanghais 4) Vancouver & Toronto 5) Shenzhen 6) Los Angeles 7) New York 8) London 9) Beijing 10) Paris -> by CNBC -These Cities' Home Price down alot in COVID-19. - Toronto takes over Vancouver higher price in all categories of property: Detached, Semi, Town Home, Condos |
- Ave Home
$1,038,700
Home Sales
up 5.3% Comp Last year
Aug, 2019. Ave Home Price Vancouver Not change, compared Aug, 2019. While Toronto Up 20% = $196,000. - Ave Detached Home = $1,491,300 Price up 6.6% Comp Last year Aug, 2019 - Townhouse $806,400 Price up 4.4% - Condo $685,800 Price up 4.5% |
-
Ave =
$1,031,400 - Detached Home = $1,477,800 - Townhouse $797,700 - Condo 682,500 |
-
Ave Home =
$1,001,200 - Ave Detached Home = $1,406,700 - Ave Townhouse $771,900 - Ave Condo $654,000 |
|
Montreal.
City of Province Quebec 2rd biggest City Canada after Toronto 1.75 millions population, Montreal University, McGill University. |
$440,000 (N/A) | $440,000 | $367,800 |
|
Ottawa 1,000,000 population or 1m, Capital Canada. - Ottawa Capital is civilized, quiet, good place to live, less crowded, less all kinds of people like Toronto, mostly white color Employees working for Government Offices. - Affordable Home and Rental. A Semi Detached Home in Toronto can buy 2 x Detached Home in Ottawa |
Ave Home =
$592,548
Price up
22% compared Last Year
Aug, 2019 Ave Condo = $383,640 Price up 24% compared Last Year Aug, 2019 |
July, 2020,
Ave Home =
$560,836 Ave Condo = $352,847 |
This Detached Home in Ottawa 4 bed-rooms 529,500$ -> Click see bigger photo |
|
Calgary.
Province Alberta 1.26 millions population, Canada Center Oil Producers. |
Ave Home =
$420,800
Price down
0.6% Detached = $488,100 up 0.8% Y/Y Semi = $393,700 down 2.1% Y/Y Condos (Apt) = $247,100 |
Last month Ave Home = $466,357 | |
|
Kitchener- Waterloo 234,000 population, Hi-tech, Start-up, Canada Silicon Valley, Waterloo Univ, Head Office of Black Berry, Nortel, Head Office of Google Canada ... |
$634,409
up 21% compared to last year.
- Detached Ave =
$734,427
Price up
18.9% - Semi = $535,300 - Condo = $386,972 |
Last Mo
Home Ave =
$639,814
- Detached Ave =
$745,149
- Semi = $522,782 - Condo = $392,770 |
The salary you need to earn to be able to afford a home in 15 major
US cities - CNBC
https://www.cnbc.com/2019/06/11/salary-needed-to-buy-a-home-in-major-us-cities.html
Update August, 2020
Average
Home Price for all
Properties in Toronto for month July, 2020 is:
$1,017,320 compared to
July 2019 =
$825,904 -> An
increase $191,416.
Home Sales
Up 50% compared to last month
June 2020,
30% Up
compared to last year July, 2019 when no COVID-19.
Home Price changed ups/ downs month to month not important, not
"real change". Compare year to year, take a year to see "real
change" more accuracy.
Toronto now takes the lead, surpasses Vancouver
Home Price in all kinds of
Properties, Home, Town home, Condos.
In
July most important is
Home Sales big increase. Detached Sales
up 27.5%, Semi Sales up 36.3%, Town Home Sales up 20.2%. Only Condos
Sales up 4.7%.
In GTA, Home Price =
943,710$ compared to
last year July 2019 =
$806,971
July month usually sales slow because people
travel. However this month
July post COVID-19, 1) Homebuyers
and sellers have put off summer travel,
and also travel still limited in the
time of COVID-19, are playing
catch-up on their housing plans, after the City of Toronto entered
Stage 3 of reopening from COVID-19 restrictions. 2)
Rapid increase demand from the COVID-19-related no activities in
April and May 3) Competition between buyers continued to increase,
push Home Price high. 4) Plus
other conditions in June, 2020, such as, Low Interest Rate, Supply
issues, many big COVID-19 Benefit packages pump in the Economy
boosting Consumer Spending...
Who had the money to buy Home
in Toronto?
Is it: Foreigners, Immigrants, Millennial (26
-> 39), Middle Class and Millionaires? -
1) 59%
- It is Canadian middle class and millionaires of Toronto,
who bought any home 20y ago, with high Deposit at least
30%, depend on high salary.
Factory, low wage workers Deposit only 10% will
take at least 35 years own home,
still 15 years more to pay off mortgage.
Wealth creates wealth take 20y. Go back 20y, a middle
class who bought home 20y ago, with high Deposit, now can
afford 3 x Detached Homes each 1.5
millions dollars, with 20% Deposit =
300,000$, based on latest Data in 2020. Toronto has around
260,000 millionaires, more than richest countries in Asia like
Singapore 183,787 millionaires, Hong Kong 170,000 millionaires.
They buy 2nd Homes, or help,
invest in young people, in first time home buyers.
2) 21%
- Immigrants: Canada receives more Economic Immigrants
60% of around 350,000 / year immigrants. 1 in 5 Homes or 20% Homes bought by
Immigrants. They settle about 3 years before buy home. Most of them
buy home with Cash or Saving back their home country. Some immigrants take a whole
family at least 3 members buy home,
parents, children, bros, sisters, relatives. That number 21% suggests
people new to the country are contributing "significantly" to real
estate demand.
3) 18%
- Millennial (26 -> 39):
First time Home Buyers. It takes 21 years
of full-time work for the typical young person
to save a 20 per cent down payment around
200,000$ on an
average priced home above 1 million dollars, in Toronto &
GTA." - An statistics shows that around 18% young people buy home in
Toronto, where very high Home Price compared to the rest of Canada.
By the time Millennial (26 -> 39) has
200,000$ for Deposit 1 million dollars Home Detached or Semi, He/
She is already in 40s or 50s, and Home Price will not the same
as 20y ago. Too late Buy Home. A Professor
said:- Today, My salary around
100,000$ about 50$ / hour (minimum wage 14$ /hr) including
bonus, over time. I am on so
called Gov's sunshine list of public employee who paid at
least 100,000$, of top earners around 1% of public employees. After
Income Tax, Living Expensive ... I could save 200,000$ in 12 year if
working continuously no layoffs.
NOTE: Not all Professors on sunshine list.
Canada Capital Ottawa where mostly public
employees working has around 4644 employees making 100,000$
or more on sunshine List in 2019. The Author of
this Blog David. D, 20y ago in
1998, his salary already 100,000$, 50$ / hr
(minimum wage 5.50 $ /hr), in today money around
200,000$.
Click see
Cheque
 Canada Capital Ottawa where mostly public employees working has around 4644 employees making 100,000$ or more on sunshine List in 2019. |
 |
4) 2%
- Foreign buyers account for about 1.8 per cent
of total home purchases in the GTA (Toronto plus the regions of
York, Peel, Durham and Halton) since the tax 15% was imposed only on
Foreign buyers in April 2017.
Before foreign tax 15% April 2017, around 5% -> 10% of Foreign
Home Buyers in Toronto & GTA
In conclusion:
It is Canadian middle class and millionaires of Toronto Buy Home 57%
- The rest Immigrants = 21%, Millennial 20%, 2% Foreigners
In GTA, Home Price =
943,710$ compared to
last year July 2019 =
$806,971
-
In July 2020, Detached Home in GTA =
$1,060,318 -
Last month =$1,027,634.
Last year = $929,633
-
A difference
Detached Home in GTA with
with Semi Home Toronto =
$120,696
These are official Data for Toronto Home Price already Sold,
not Listing Price.
Update July, 2020
OMG
(Oh My God). Toronto Home just now released official Data in July,
2020 for June, 2020.
Average Home Price for all
Properties in Toronto for month June, 2020 is:
$1,022,138 (1st
time breaking barrier Ave in a million dollar) compared to
June 2019 =
$915,785 -> An
increase $106,303.
Home Sales up
89% compared to last month
in new normal COVID-19, only
1.4% down
compared to last year June, 2019 good time when no COVID-19.
- This is the 1st
time Toronto Ave Home Price has broken the barrier into
a millions same as Vancouver is
Ave Home Price 1,025,300$.
Specially during COVID-19 pandemics.
While all kinds of Industries,
Sectors, Businesses, People line up for financial support from
Government, only Toronto Home Market is going strong during
pandemics COVID-19. Today, it adds on around 250 billions dollars to
Middle Class, which will help lead in Consumer Spending out of the
worst recession.
During pandemics COVID-19, so many analysts said that
Toronto Home Market will go down like other Industries,
specially the worst lockdown COVID-19 very scary, people stay home,
Home Sales down like 67% in April.
But Home Price nothing happened. As we already explained
why. Toronto Home Price stable and strong.
A big jump for Detached =
1.52 million
dollars, price over Detached Vancouver. Big winner Semi jump
232,409$, Toronto Semi =
1.29 millions,
smaller price gap between Detached vs. Semi.
Currently market is hot, multi offering.
| Home Average | For Month June, 2020 | Last Year June, 2019 ** | Compared to June, last year 2019 | Last Month May / 2020 |
| Detached Home | $1,523,770 Over Detached Vancouver 60,000$ |
$1,332,639 | Up
14.3%,
$191,131
Before COVID-19, In Feb, 2020 Detached Home = 1.48 millions. We could see end of 2020 = 1.54 millions At peak, Detached Home in Toronto = 1.56 millions dollars |
$1,422,273 |
| Semi-Detached Home | $1,287,832 | $1,055,423 | Up
22%,
$232,409
(this month big winner - Post
COVID-19). Before COVID-19, In Feb, 2020 Semi-Detached Home = 1.20 millions. We could see end of 2020 = 1.31 millions. At peak, Semi Detached Home in Toronto = 1.33 millions dollars How many years do you work hard to have 200,000$ ? -> 20y, 30y |
$1,143,322 |
| Town Home | $855,339 | $810,039 | Up 6.2%, $45,300 | $794,626 |
| Condos | $672,465 | $636,606 | Up 5.6%, $35,859 | $674,028 |
- In GTA
(Districts Around Toronto)
- Include: Brampton,
Vaughan, Scarborough, Mississauga, Markham, Richmond Hill, Peel, Pickering,
Ajax ...
see Toronto Map
click here
-
In June 2020, Ave Home Price in GTA (Districts Around Toronto) =
$930,869. Compared to last year =
$831,882.
-
In June 2020, Detached Home in GTA =
$1,027,634.
Last year = $922,367 -
A difference
Detached Home in GTA with
with Semi Home Toronto =
$260,198
5 biggest Canadian
City's Data released on July, 2020 for Home Data
June,
2020.
| 5 biggest Canadian City | Data for Month June, 2020 Average | Last Month May | Last Year, June 2019 |
|
Vancouver.
675,000 population, Tourism, Film Industry. Province BC -> Rank #4 Ave Home Price in the world 1) Hong Kong 2) Singapore 3) Shanghais 4) Vancouver & Toronto 5) Shenzhen 6) Los Angeles 7) New York 8) London 9) Beijing 10) Paris -> by CNBC -These Cities' Home Price down alot in COVID-19 |
Ave Home
$1,025,300
up
3.5% Comp Lst year --
Ave Detached Home =
$1,464,200
up 3.5% Comp
Lst year (Lst mo = $1,456,700)
- Townhouse $792,700 - Condo $680,800 (Lst mo = $686,500 ) up 3.6% Comp June, 2019 |
$1,028,400 | $1,001,800 |
|
Montreal.
City of Province Quebec 2rd biggest City Canada after Toronto 1.75 millions population, Montreal University, McGill University. |
$385,500 up $17,700 compared Last Year | $398,200 | $367,800 |
|
Ottawa 1,000,000 population or 1m, Capital Canada. - Ottawa Capital is civilized, quiet, good place to live, less crowded, less all kinds of people like Toronto, mostly white color Employees working for Government Offices. - Affordable Home and Rental. A Semi Detached Home in Toronto can buy 2 x Detached Home in Ottawa |
$489,182
up
13% compared Last Year Detached Homes Ave = $540,000 Condo = $348.458 |
- N/A - |
This Detached Home in Ottawa 4 bed-rooms 529,500$ -> Click see bigger photo |
|
Calgary.
Province Alberta 1.26 millions population, Canada Center Oil Producers. |
$405,800
down - $14,600 comp Last Year - Detached Home: $479,833 down -0.32% year-over-year- Semi: $385,300 down -1.47% y-over-y |
$410,400 | $419,900 |
|
Kitchener- Waterloo 234,000 population, Hi-tech, Start-up, Canada Silicon Valley, Waterloo Univ, Head Office of Black Berry, Nortel, Head Office of Google Canada ... |
$601,285 up 12.8% compared to last year. - Detached Homes Ave = $698,376 - Semi = $504,816 - Condo = $372,392 |
The salary you need to earn to be able to afford a home in 15 major
US cities - CNBC https://www.cnbc.com/2019/06/11/salary-needed-to-buy-a-home-in-major-us-cities.html |
Important News this month July,
2020
- What are main factors
for Toronto Home Market Home Sales & Home Price jumps and over
asking Price this July during COVID-19?
1) Record low of Interest in history,
and stay low for a very long time at least 2 years because of
COVID-19. Bank of Canada Governor Tiff Macklem's reassurance that
interest rates will remain low for at least two years.
2) Low on Home Supply, such as,
Home Listing Sales, Home Construction.
3) People middle class high income don't lost
job, no affect by COVID-19. A lot people get job back, back
to work thank to Canada Wage Subsidize Program
that pays 75% salary by Canadian Government until end of
mid December, 2020. These people
have not damaged by COVID-19, take advantages on record low interest
Buy Home. The people are self-employed, low income, low wage most
damaged, most lost jobs by COVID-19. Toronto also has around 260,000
millionaires, more than richest countries in Asia like Singapore
183,787 millionaires, Hong Kong 170,000 millionaires.
4) Huge Government finance support for
all kinds of COVID-19 benefits packages pump into economy - worth
about 350 billions dollars on 37.5 millions population - And
Loan deferrals for home owners affected
by COVID-19 by banks
have bolstered home prices.
Top 10 Average Home Price in the world.
1)
Hong Kong
2) Singapore 3) Shanghais 4) Vancouver, Toronto
5) Shenzhen 6) Los Angeles 7) New
York 8) London 9) Beijing 10) Paris
- Canada has 2 Cities 4) Vancouver, 4)
Toronto now in Top 10 Cities.
->
Most top 10 cities has seen Ave Home
Price dropped during COVID-19, but not Toronto.
If just use Ave Home Price Detached & Semi in
Toronto = (1.52 m + 1.28m ) / 2 =
1.4 millions dollars will put Ave Home Price in
Toronto only after Hong Kong ahead Vancouver.
Because Semi Home in Toronto more expensive than Vancouver
less than 1m.
Bottom 5 Cities behind
Vancouver & Toronto in Top 10 Cities highest Ave Home Price in the world:
5) -Shenzhen $680,283 6) -Los Angeles
$679,220 7) - New York
- 674,500$ 8) - London
646,973$ 9) - Beijing $629,276 10) - Paris
$624,299 --> Data from CNBC
Update June, 2020
Toronto Home back, reopen after
COVID-19 Lockdown. So do we.
Toronto-area Home Sales down
plunge 54%
in May, but Home Prices continue to rise — Why?
- Will explain later.
Toronto Real Estate after COVID-19 Lockdown
reopens in June, 2020 (for month May, 2020) compared to Data
in April, 2020 (for month March, 2020) pre COVID-19 Lockdown,
you see all types of Homes down, but not
much. But if compared Data of June, 2020 to last year
June, 2019, you see, not only not Down, but
Up. Why? -> We will explain later.
 Why does Home Sales demand decrease 54% But Home Price increases? A Scientist Professor explains: Toronto Home Market During COVID-19 pandemic Home Sales down on a Demand curve when the demand shift left D1 -> D2 decreases, because Home Sales during COVID-19 down 54% in May, 2020 -> The Home Price will decrease from P1 -> P2. While lower Quantity Home Supply reduces Q1 -> Q2 However Home Listing Supply for Sales down on Supply graph, when the Supply shifts to the left S1 -> S2 also decreases, because Home Listing for Sales down 53% in May, 2020. During COVID-19, less people want to sell their home, Open House -> The Home Price will increase from P1 -> P2. While lower Quantity Home Supply reduces Q1 -> Q2 These Home price movements are traced out by left shifts of the Supply & Demand curve and they continue until the new market equilibrium is reached. Since both Home Sales Listing Supply reduced 53% and Home Sales Demand reduced 54% not much different change -> As a result Both Demand & Supply are trend down in balancing. Thus Home Price will not decreased, stay the same -> Price Equilibrium not down but slightly increased if compared to last year.  Both Home Sales and Home Listing trend down in balance.-> Toronto Home Market OK remained balanced during COVID-19. Who has money to buy home in COVID-19 time? In new normal COVID-19 time, most people low income less than 20$ / hr lost jobs very much more than people work more than 30$ / hr, high income, less lost jobs. These high income people still have job, no affect by COVID-19, will buy home. They take advantages of low Interest in record history, while low Supply => Push Home Price higher in post COVID-19 reopen. The beginning of bidding wars, bully offers, and buyer and seller confidence have already returned to the market. If you think COVID-19 will make Home Price going down, and less demand for home in Toronto -> You are wrong, not in Toronto. A lot rich Middle Class people, millionaires in Toronto are waiting for this opportunity -> Which will help economy recovery out of the worst recession from this *huge* Consumer Spending. Not few hundreds, not few thousands spending, but few hundreds of thousands dollars Consumer Spending filtering into Economy. Consumer Spending in Trillions of dollars, accounts for 60% -> 65% of GDP in most Industrialized Countries, US = 70%, G7 (GDP Canada = 2 trillions dollars). Consumer Spending more than Gov Spending + Business Spending + Export combined. Although Gov just extends Benefits package like CERB (Canadian Emergency Relief Benefit) package 2000$ / mo / person lost job - 8.4 million Canadians applied for CERB as of June 4. Still better than US 40 m, as in June, UE rate = 14.7% highest since Great Depression vs. 13.7% in Canada from 5.5% in Feb/2020. In Japan, big surge young people homeless. - People applied for CERB not all full-time workers, including: part-time, self-employed, season workers, Uber/ Taxi drivers...- Around 15.5 millions Canadian full-time working from 37.6 millions population. Wage Subsidize Program support 75% Salary / employee, Rent Subsidize Program 75% / business, Students Benefit Subsidize Program 1250$ / mo / College student from May -> August, for extra 2 months until end of August, and many other Benefit Programs. In total = 6 months, from March/ 2020 -> June/ 2020 -> Extends extra 2 months till End of August/ 2020. Government Spending big deficit may not afford for more Benefits package. Now, reopen, Gov may end gradually all COVID-19 Benefits end of August/ 2020, except Child Benefit still there before COVID-19. The same as other COVID-19 benefits provided by Provinces, Cities across country ran out of money. Mayor of Vancouver city said Vancouver ran out of money, same as Mayor of New York city said so on TV CNN New York ran out of money. The reason Gov spend money on COVID-19 Benefits to support citizens in hard time, and it wants to boost Consumer Spending. -> It may continue supporting all COVID-19 benefits for sometimes. Update: Canada Minister of Employment said: The extend 8 more weeks or 2 moths is final for people on CERB, unless there is another 2nd wave of COVID-19. However, other Benefit Programs like: Canada Wage Subsidized Program support 75% salary for Business's Employee, still continues to keep people employed, helps businesses reduce payroll, stay open. Only CERB (Canadian Emergency Relief Benefit) for 8.4 millions ends in end of August. Good to know to prepare your finance in COVID-19 time. |
Update June 19, 2020 Toronto-area Home Sales down plunge 54% in May, but Home Prices continue to rise — Why? - A Scientist Professor Explains.
COVID-19 has no affect on Toronto
Housing Market even hotter.
Houses are Selling for Over Asking in Toronto at an
Above-Normal Pace
the highest percentage
since 2016. NOTE: Stress
Test introduced in 2018, by design for the Banks to test by
increasing rate extra 2% on current Rate, if a person to qualify for
a mortgage to buy home, pay mortgagee if when Interest increases.
Thus not abandon their home like happening during Financial Crisis
1008-09. Now interest so low. Likely Interest will not increase in
future for a long time. Stress Test seems not
much impact on person to qualify for a mortgage.
-> Thus make it easy qualify to Buy Home. In Canada, a family couple with 2
children, how much they will get in COVID-19 benefit for 6 months
from March -> End of August?
|
Update May, 2020, June, 2020
continuing
Using Data fight COVID-19
- Update June, 2020
- June 1,
2020: PM of Canada Justin Treadeau said that "-
Government begins collect Data on COVID-19 " ->
Collect Data on Testing,
Treatment as we have been suggesting in early May, 2020. - You
need to design a computer system (DBMS) that
CANDO (Collect Data, Analyse Data, Normalise
Data, Design Data, Organize Data). Which is very important,
because on a war with COVID-19, Collect Data is like
Intelligence
in real war, which helps make better
decision to protect, defence, and win the battle.
But make sure privacy is also
important to prevent discrimination, racism and discrimination on economic
opportunity, job discrimination. For example, recently, we see anti-Asian in
Vancouver. Currently, GTA accounted for 76% of new infection active COVID-19
cases in Toronto, Ontario.
NOTE: Toronto is capital of Ontario, GTA is Districts around
Toronto. Ontario is biggest Province of Canada, 14 m population.
Nearly 70% or 9.5 m Ontarians live in Toronto & GTA.
For example, Province
Ontario active cases = 4,110 as May 27,
GTA = 3171 = 77%
of all active COVID-19 in province Ontario, Ottawa, Winsor,
Hamilton = 509 cases. Data makes people live in Toronto, and other areas
feel better, and go out spend money in their local
businesses, tourists travel, restaurants.
Thus businesses in safe areas, like Toronto, Downtown
reopen likely attract more people from other areas. Data also
helps make decision where, when
locations, areas can open soon. More Resources,
Testing, Tracing, Contain, Education on hot zone like GTA. A
Scientist Professor says.
Why GTA has more COVID-19 cases than in
Toronto and other areas in province Ontario?
Because GTA
population or Districts around Toronto around
60% are immigrants, people diverse background, working class, live in
high rise crowded Buildings. Their jobs in factory,
front-line workers in hospital, hard condition low wage jobs,...
not in office,
their living conditions and working conditions make them
vulnerable to get infection COVID-19. This also happens in US, Blacks,
Hispanics, Mexicans got mostly infection COVID-19 by population. For
example, Chicago 3rd largest city in US, only after New York 8.6m, Los
Angeles 3.99m, Chicago population 2.7 million.
Black only 30% of population, but 70%
COVID-19 cases are Blacks. GTA is around 40% of Ontario's population, but
77% of COVID-19 cases. So Data ratio is very much the
same Data of Black 30% population but 70% COVID-19 cases.
Using Data fight Racism and Inequality
efficiently and effectively
- Update June 2020 - still continuing
Racism begins with hate, jealousy,
fear, and intolerance. Racism and
Inequality are real not just in
policing but also in business, company, institution, in Government that
affects people of diverse backgrounds, blacks, minority, new Canadian,
ethnic Canadian to make ends meet, economic opportunity, job opportunity,
promotion, job security ... After the death of black man George
Floyd, which sparks huge demonstrations to fight racism in many countries,
including Canada, happening in many cities like
Montreal, Toronto, Vancouver ...
The question is after all demonstrations are gone, systemic
racism, hidden racism are back.
So how can you fight racism effectively? -
Use Data. But how?
=> Need Government to introduce Equality &
Opportunity Law that makes Government Agencies, Schools, Businesses,
Companies to have statistics &
publish statistics
about the % Presentation of Minority, Women,
and encourage to meet a
Standard of Equality
based on racial
representation in Community.
A lot of white people reject racism existing, look at Data.
People don't use data but mouth, tongue.
-> That's why
need Data.
For example, In Toronto around
52% of Toronto population are Ethnic,
diverse background, non whites, according to latest Data from Statistic
Canada (StatCan), in GTA around
60% are
people in diverse backgrounds, non whites,
9% are blacks in Toronto & GTA.
75% of minority ethnic population are
30% from South Asian, Indian descents,
like Indian majority, Sikh, Pakistan, Bangladesh,
Tamil .. and 45% from East Asian,
Chinese descents like Chinese majority,
Japanese, Vietnamese, Korean, Philippines.
Most Economics from Banks say
Toronto Home Price is high price because Immigrants work hard and Buy Home.
Canada receive around 350,000 / year, 60% rich Economic Immigrants.
These immigrants first landed just asking to Buy Home.
Canada needs more immigrants to drive Economy, produce
Products & Services while its population 37.6 m is smallest in G7 and
getting older. Take 10 years for Canada to reach 41
millions, still very low compared to G7, Japan
127m, German 84m, UK 68m, France 70m.
Around 4 immigrants work on factory floor -> Create a
job for 1 Canadian works in Office.
Toronto is center of Financial Hub,
big Banks, majority middle class whites in office, and
Manufacture hub of Canada. The
Manufacture Hub, majority immigrants that needs "hands on" to produce
more than 50% of export Goods, not
Services. Canada Export in total = 450 Billions dollars, GDP 2
trillions dollars in 2019 with population 37.5 m.
Child Benefit for a child born in
Canada to 18 years old cost around
120,000$ / child
until 18 years old. This child
is not productive yet at 18. Bring an immigrant come and produce right away,
not cost anything. If immigrants don't buy home, they rent Home in Toronto,
which helps middle class home owners in Toronto pay mortgage.
-> Then immigrants Buy Home, mortgage, which creates more white color jobs
in office for Financial Hub, for Banks, Financial Institutions. But it
doesn't reflect in Employment and Opportunity by population in
Government, in Schools, in Corporations, in Businesses.
For example,:
In Canada, usually after 5 years, Immigrants and their children become
Canadian, called: racialized Canadian, ethnic
Canadian, entitle all Rights, under Charter of
Rights as Canadian. In history, except Indigenous Canadian,
all Canadian are immigrants from another country.
For example, long time
Canadian hockey - Canadian national
sport - pundit legend Don Cherry
has been fired after more than 40 years working, by Sportsnet for on-air
remarks about
what he believes are new immigrants not
honoring the country's fallen soldiers.
The statement from Bart Yabsley, Sportsnet President, said: “-
Sports brings people together — it unites us, not
divides us.
Following further discussions with Don Cherry after Saturday night’s
broadcast, it has been decided it is the right time for him to immediately
step down. During the broadcast, he made
divisive remarks that
do not represent our values or what we stand for."
The NHL league (National Hockey League) said in a statement that Cherry’s remarks were “offensive
and contrary to the values we believe in.”
Mississauga Mayor Bonnie Crombie, who is Ethnics Ukrainian background,
called his comments “Despicable.
We’re proud of diverse cultural heritage and we’ll
always stand up for it.”
Calgary Flames head coach Bill Peters said: -
“I saw it (Monday) and we talked about it.
Our country is based on inclusion.
We have a very diverse country. We
have a wonderful country." - Minister of
Defence Canada, Harjit Sajjan, who is Sikh background said:
- Last night, Don Cherry made comments that are
wrong in describing Canadians' remembrance of our veterans.
His remarks don't recognize the contribution
of Canada's diverse communities. I
hope we can turn this into a moment where we can learn about about all who
have served" - Sponsor beer Budweiser
also weighed in, that they respected Sportsnet’s call.
“The comments made Saturday on Coach’s Corner were
clearly inappropriate and divisive, and in no way reflect Budweiser’s views.
As a sponsor of the broadcast, we immediately expressed our concerns and
respect the decision which was made by Sportsnet today.” - See
https://nationalpost.com/news/canada/don-cherry-fired
NOTE: Immigrants who
are legally in Canada. Can work, but not Canadian yet. After 5 years, they
applied for Canadian citizen. New Canadian
who are Canadian, residence in Canada less than 10y.
Ethnics Canadian, who have been
here for long time like at least 25y.
Don't know whom Immigrants Mr. Don Cherry was talking
about. Did he mean only Whites are Canadian?
-> Sportnets, NHL, Minister
of Defence, Mississauga Mayor, Budweiser, the girl staff in South East Asia
Doctor Clinic (see
video below)... are examples
of people who speak up against racism.
For example, Pres
Trump used to complain most immigrants come to US from Mexico, bring drugs,
gangs... But Immigrants come to Canada from Asia,
specially from South Asian, Indians descents
like Indian (majority), Sikh, Bangladesh, Pakistan,
and from East Asia Chinese descents, like
Chinese majority, then Japanese, Vietnamese, Korean,
Philippines. These immigrants, stay in Canada around 5 years will
become Canadian citizens. When coming to Canada, rich Economic Immigrants
open business. While poor immigrants work in factory to make ends meet. So
in general, the majority of immigrants to Canada is Indian and Chinese, and
then Indian descent, Chinese descent. Canadian immigrants work hard low
income. Their dream is to buy home.
Each immigrant community has its own small business
characteristics, such as, Indian community open Tim Horton's
coffee franchises, Chinese community open restaurants, Vietnamese community open
Nails & Salon, Korean community open Variety, Convenience store...
For example,
a Canadian Scientist Professor says: - When I
first started life = 0 in Toronto at 18 years old. I worked back & forth
in many factories in Toronto in 1990s. I rarely see Canadian born on
factory floor. Then I quit factory back to school. Decades later, in
2010s, I worked as Software Engineer for many big and small
manufactures, I still don't see Canadian born on factory floor,
although I see immigrants from Europe like Eastern Europe, Turkey. On
factory floor, 95% diverse racialized Canadian from Asia. In main office of many
Companies I worked, majority 80% are Whites. I teach few schools
in Toronto & GTA, where a lot of diverse students 40% - 50%, and
diverse population in Toronto & GTA,
in main office, Staff, Teachers, Professors, Administrators, majority like
80% are Whites, not inclusive work force.
Why not see
young Canadian born (not just white) work in factory? -
See a lot young Canadian born work in restaurants, food services, but not in
factory because factory is hard work. The environment is called "fast
paced environment", hard for people tall, heavy move
fast, need fast, flexible, like bamboo, standing all day,
parts coming out from machines continually.
Factory starts minimum wage.
How about Toronto neighbours? - At the present, where I live, my
neighbours, next to my home, right side is a white
English family, left side is a Philippines family... Next to White family is
Indian Family, next to Philippine family is white Italian Family. Along the
streets I live, there are Chinese, Indian, Italian,
Vietnamese, Philippines, Whites families. A lot Chinese families.
Of course, all neighbours, we are all
Canadian. In like
20y, no argument, no conflict, no bad talk. They go to work, go home.
Repeat. One experience was Italian neighbour came to me asked
for cutting grass.
In
conclusion, in Toronto & GTA where diverse population
more than 50%, but in my experience where I
work, I see on floor factory, 95% are diverse
racialized Canadian, in main office,
80% are whites.
| Why have conversation about
racism now? - I live and grow up in Toronto, GTA wearing many different shoes. Toronto and its GTA, 9.6 millions people, is biggest City in Canada, only after New York, 8.6 m in US. According to Data from Giant Banking Credit Suisse, there are 4.5% Canadian millionaires by population, Japan 2.7%, S.Korea 1.8%, UK 4.5%, German 3.3% -> Which ranks Canada number #2 of millionaires in the world by population. According to Toronto Star, in 2012, there were 422,000 millionaires in Canada, when 2012 ave Home in Toronto = 497,130$. Today 2020, around 520,000 millionaires in Canada, Ave Home Price $952,804. -> See where they live Click here. More than 1/2 Canadian millionaires population live in Toronto & GTA = 265,000 millionaires, richest Asia Singapore = 183,737 millionaires. There are 2.5% millionaires of 9.6 m population in Toronto & GTA. I started life = 0, no money, no degree, at 2% bottom line poor in Toronto. To get rich, take time, go back 20y -> What were you doing, your salary 20y ago and Where did you live ? - Just ask simple question and use grade 5 math. Were you: Factory Worker 5.50$ /hr, Teacher 12.0$ /hr, Engineer 13.0$ / hr? -> I started career 20y ago as Professor 50$ / hour at right Place Toronto & right Time big Salary & Home cheap. Salary same as 250,000$ today, Ave Home Toronto 218,000$. Why go back 20y ago? - Because 20y ago, Buy A Million dollars Home Detached or Semi in Toronto was very cheap, small mortgage. Salary of Professor could Buy Home within 1 year with high Deposit % like 30%. Engineer's salary must wait 10y Saving. Then Home in Toronto increased so fast every year after 10y. Could miss. -> Buy A Million dollars Home in Toronto, deposit 20% = 200,000$. -> Debt = 800,000$ -> Will take 40 y paid off home. Still pay big mortgage, big debt. Compared to 20 year ago, Mortgage to Buy A Million dollars Home after 20% Deposit in Toronto round 200,000$, 4 x less than today. Still take 20y paid off 200,000$ -> That's why live in A million dollars Home Detached or Semi doesn't mean A millionaire. That's why take back 20y. I work hard to become Canadian Scientist Professor millionaire in 4.5% millionaires Canadian population, and in 2.5% Canadian millionaires population in Toronto & GTA. For a person started life = 0, just 20 years ago, no inheritance, no privilege, now same with 2.5% Toronto millionaires, who live in Toronto for many Generations. I am doing OK, no complain. I continue working harder next 20y, and keep going, will retire at what ever age Pres. Trump will retire. I see Inequality and Racism. Now, the death of Mr. George Floyd sparks anger about racism, inequality around the world -> The opportunity to make a change. |
 - Inequality of Wealth Distribution. A lot people asked :- You are a Canadian Scientist Professor Millionaire in top 2.5% of Toronto Millionaires. Why do you speak up against racism? Answer: - If you read in this Blog, not just me, but also other Canadian companies, Canadians like, Sport Nets, Budweiser, NHL, PM Justin Treadeau, Minister of Defence, Mississauga Mayor, the girl staff in South East Asia Doctor Clinic ... speak up against racism & intolerance. We want to improve Canada more inclusive, equality, and diversity, which is a strength of the country. |
NOTE About Data:
" - To avoid biases,
confusion, mouth-to-mouth Data exacerbation, unknown Data, easy
pump price up data,
unscientific Data, Scientist, Real Estate Industry
used Ave Home Price for
calculation, fairness distribution & representation for a whole
population. Scientists, Real
Estate Industry don't pick-up Home, Condos in few expensive areas like
Downtown to present as Home, Condos Price of a whole City.
All is about Data. No mouth data. Use few
Average Data,
Scientists can do calculation easily, simple understand, accuracy &
scientific. Use
mouth-data, he
said, she said
= tens of thousands different Data, unscientific mouth-data,
unknown source Data, unofficial Data,
Scientists can not do calculation. For
example: My
home, my friend's home, my neighbour's home data, anyone can say anything
Data, or pick-up few expensive area Home Price Data is biases,
unscientific, fake data, mouth exacerbate Data, did
not represent accuracy
& scientifically
a whole population of a city. Impossible
calculation scientifically & accuracy. Not
sure that other City in the World used Ave Home Price = Ave Price of All
Properties =
$952,804
like Toronto
" ->
Says, a Scientist Professor
For example, in Toronto & GTA Schools,
nearly 50% are students come from diverse backgrounds, but minority ethnic
Canadian Teachers only 15%. -> It doesn't reflect Standard of Equality by
population. -> Need more Canadian of minority
diverse background Teachers.
 |
Toronto Sun, April 18, 2020 This Peel Board School in GTA had 85% students from diverse radicalized minority speaking 110 different languages. But only 25% minority Staff come from radicalized minority Canadian, 75% are whites. The PDSB covers GTA's schools of districts like Brampton, Caledon, Mississauga, and West of Toronto, in total 155,000 students in 217 elementary schools and 43 secondary schools Schools are public funding. What about private funding like businesses, companies, the Data of ratio of presentation of minority even much less than 25% -> The same systemic racism could happen in businesses, institutions, schools. A Scientist Professor says: - Data tells alot about population, society, and systemic racism. The data of diverse backgrounds high school students in GTA 85%, 110 different languages very diverse backgrounds, is correlation to the diverse population in GTA 60%. This is as an example of systemic racism. |
For example, Blacks
population only 9% in Toronto & GTA, but just watch on TV
every day 99%, blacks got problems with Police, the most by population, not
seen happening to immigrants, other ethnic Canadian ->
Poverty in
Blacks for many Generations, is the big problem compared to other Ethnic
Communities in Toronto, which makes them more vulnerable. ->
Improve poverty, more funding to Black Community will
help.
For example, On factory, see almost
Immigrants work there. Almost Immigrants have experience working in factory.
For example, in
Mississauga big City in GTA, a white woman (from
Ukrainian, big Poland, Ukrainian Eastern Europe Community in
Mississauga, and in Toronto) while waiting a long time for Doctor
in a South Asian Clinic, she demanded to see white doctor.
People in Toronto & GTA accused her
racism, because she demanded "White Doctor" not South East Asian "Indian
Doctor". Her racism reflects
attitude "White Professionals" is better than "Minority Ethnic
Professionals", which is systemic racism.
If businesses think like her, then there is less demand for people in
"Diverse Background" Professionals.
https://www.cbc.ca/news/canada/toronto/white-doctor-video-mississauga-1.4168199
NOTE: Mississauga
biggest City in GTA, around 850,000, 7th largest city in Canada, is the most
ethnic diverse area in GTA, where people of diverse backgrounds has 60% of
population, like South East Asian, Indian the most of ethnic population in
city Mississauga, then Chinese, Vietnamese. Average
Home Price around 750,000$. See Toronto map,
click here
It is OK to have conversation.
Unlike Blacks, Whites,
Asian backgrounds less engage in racism conversation,
racism demonstration. For example, look
at Demonstrators in Toronto, Black only 9% but almost 60% demonstrators are
Blacks, 37% from whites. While more than 50% are Asian backgrounds in
Toronto, GTA, but only 5% of demonstrators.
They shy away from this issue.
-> Because most Asian
backgrounds back in their country, 99% are
same people, homogeneous population.
They don't experience racism because every
day they are surrounding with people are
the same nationality, same culture. So they feel not
comfortable, not experience with racial issues. Unlike big cities
in North America, Europe mix of population. Specially Toronto has more than
100 nationalities living called home.
If you think Racism like a shame, then likely
you get more racism.
Racism doesn't mean " I am better
than you ", but it means intolerance.
You see in above story
- A white woman had racism attitude
to dark skin ethnic Indians in Doctor Clinic because of her white skin. It
is wrong, need to speak out,
like the girl staff
wearing black shirt in clinic in video. She criticized the woman that :->
You are extremely rude and racist (intolerance).
You are bad example for your children, your community.
A person says: - If you are treated
differently, you must stand up and express yourself. If you don't say,
accepted, you will be continued treated differently.
When you live in a multi cultures like Canada, all kinds of
races, more than 100 countries and nationalities, racism happens.
Racism begins with hate, jealousy,
fear, and intolerance.
Canadian Company is very strict, zero tolerance about racism
at work. An employee says: "- Go back to your
country". Or racial jokes -> Then this worker got fired right
away. Companies are afraid to be labelled as racism.
A Canadian Scientist Professor says: - A lot
Students in diverse backgrounds just keep quiet when marks not fair to them,
unlike whites students. Most Professors are willing to give extra marks.
Sometimes Professors don't see it unless
Students speak out. He says: -
People asked me that ... Before
you were Nothing, no Degree. Since migrated to Canada, Toronto, you
became a Scientist Professor Millionaire, in Toronto middle class 20y.
Do you think you were treated racism LOL?
- I replied: - Every one as diverse
background racial Canadian all encountered some kinds of racism,
obstacles, biases, adversities, inequality, different treatment, promotion
.... Looking back history,
Chinese Community, Indian Community, Italian Community, Japanese Community
all experienced racism. We must speak
out against racism.
How to win the war on virus - the COVID-19 ?
- Update May 8, 2020
Virus war is different Human war, invisible. Every
Scientist from different country plays important role.
In virus war, it is Science, follow Science.
You can't negotiate, can't use weapon, nuclear
bomb. The only things Human can win virus war is
1) The Behaviour, self-defence, like
Social Distancing, Mask, Stay Home, Wash Hand.,
and ultimate weapon to win = 2) The Vaccine.
To win the war on COVID-19, there are 3 frontiers:
The 1st Frontier: The Behaviour -> 2)
The 2nd Frontier: The Testing -> 3) The 3rd Frontier: The Cure.
Lets' exam each:
The Behaviour: -
The 1st Frontier: Called
the 1st Line of Defence Frontier
used most effective defence like
Lockdown & Stay Home, when virus attacked
fast & furious, outbreak
like mid March, 2020 -
This Frontier requires citizens
as solders well-behaviours, self-sacrifice. In this
virus war, the citizens like solders. Mask is the additional tool for this
Frontier, like gun for solder. To win
battle you need "good solders" be well
behave, disciplines. The 1st Frontier required self-sacrifice,
self-discipline like good solders -> You
can't win the battle with "no good solders" no discipline, no
behaviour. The old saying: -
Prevent disease is always better than cure disease - is the 1st
Frontier. The virus
COVID-19 spreads thru Human Behaviour: Hand, Mouth, Nose,
Eyes, things that people do every day: Talk, Breath, Touch, Cough, Gathering
...
UK 67 m
population, US is laxing on
Mask, not take it seriously, as a result, Data tells huge
COVID-19 cases & Death, unlike most Asian Countries.
While
France, Italy has learned the lesion after severe damaged by
COVID-19. Now "Wearing Mask" is a mandatory
for citizens of these countries.
France has camera at public subways, transportation take picture of
people not wearing mask.
Dr. Harvey Fineberg, former Dean
of the Harvard School of Public Health, Chairman of a committee with the National
Academy of Sciences,
advised:
"- l start wearing a mask when I go to the grocery
store".
The Cost: This 1st
Frontier is less cost money and less human casualties.
That's why Asian Countries not rich, very small
budget. But fight COVID-19 very good, less money, less COVID-19 cases,
like Vietnam 100 million population = 288 cases & Death = 0.
In reopen economy, wearing mask
is a must, additional defence, where social distancing is hard to maintain,
hard to mobile, lost control, mis-behaviour, lax. Just wear mask as
additional defence.
Specially in an area where there are very high alert of COVID-19 cases,
hotspots.
Save lives.
The Testing & Treatment:
- The 2nd Frontier - Called
the Casualties Frontier, where the Battle,
but no effective weapon yet, focus on Testing:
Need: Doctors, Nurses, Front Line Workers, the Government .. ..
- When
you see the Testing increasing -> Which means something wrong with the 1st
Frontier, the 1st line of defence weaken, not strong, lax,
like not comfortable **wearing
mask additional strengthen defence**, trade-off my freedom,
not sacrifice, still want party, gathering, beach ...
No good. These citizens like solders who
are not well-behaviours at 1st Frontier -> Now
need Testing to make sure they are not
"wounded solders" COVID-19 infection yet. So this 2nd battle is
also important. That's why we hear a lot talking
about Testing, because only weapon used to fight with COVID-19.
But less about Treatment because still no effective Treatment ->
Pres Trump suggested Hydroxychloroquine, not only not
help, but side effect increased of heart attack on patient. COVID-19
patients recover from their Immunity System + from care & support of
Doctor, Ventilator, all kinds of trials Drugs, Placebo ..
Most people with mild corona virus
illness will recover on their own
because of their Immunity.
That's why needs Vaccine.
Testing is good
to increase more capacity of Testing more people in
order to Trace contacts and Reduce infection in population. Collect
Data on Testing. -> But the
problem is to keep Testing millions
and re-peat millions
Testing citizen (the solder) because this citizen keeps bad Behaviours ->
Then this citizen needs Testing again.
For example, a White House Staff after testing many times
negative, but just recently testing Positive for COVID-19.
Testing is not always reliable. People who
already tested negative, still can get re-infected if
not well behaviour -> Still spread virus.
NOTE: There are people get
infected like seniors not because they are not well-behave. But they
get infected by Asymptomatic people no symptom or not well behave live with
them.
If the 2nd Frontier is so overwhelmed by people -> Then maybe should
strengthen, have additional defence for the 1st Frontier like "Wearing Mask"
-> If the 1st Frontier of Defence is good ->
Less cases COVID-19 in Testing, less Deaths.
The Cost: This 2nd Frontier is
very costly money and human casualties, such as, Testing, Human
Resources, Doctors, Nurses...Hospitals, Hospitalization COVID-19 patients ..
The Cure & Vaccine:
- The 3rd Frontier: - "The
final winning Frontier" of Research &
Development: Need: Doctors, Scientists, Professors - The
Medicine, the Treatment, the Vaccine ... So far, there
is no Vaccine, " still in early stage
" a lot of talks & hope. Hope vs. Truth. The last hope give it 2 years.
The Vaccine is the ultimate Tool to win
virus war. Even the curve flatten, but no Vaccine -> A new normal
COVID-19, a war still continues. So far, there is still no
effective Drug, no effective Treatment, no effective Medicine ->
All of Tools in 3rd Frontier still in
Talking, in Testing, in Experiment, in Clinical Trial ...
The Cost: This 3rd Frontier is
very costly money, such as, Research, Experts, Human Resources,
Doctors, Research Scientists, Professors....
So The Behaviours, the 1st Frontier
is the most important Defence,
unless The Vaccine
successful.
Prevent disease is always better than cure disease. If the 1st Frontier was broken down, defeated,
overwhelmed -> ** The Solders no good.** ->
Then we will never win the war on virus COVID-19.
Since 2001, the Afghanistan War, US has about
2500
deaths in 19 years of war. But COVID-19, only 2 months,
more than 80,000 deaths, over 1.5 millions
people wounded, and a
whole Economy sinks, more than 30 millions
people lost jobs. COVID-19 is
more than a war. Still just the
beginning.
For example: In US, because
they lost the 1st Frontier of Defence, for
example, not wearing mask -> So
COVID-19 overwhelmed the 2nd Frontier of Testing with many millions
Testing -> But at last
3rd Frontier still nothing, no effective Drug, no
effective Treatment, no Vaccine -> As a result, the COVID-19 cases over a
millions, and more than 80,000 Deaths so huge
than any countries in the world.
Although US #1 super power in the world in all categories, Medicine,
Technology, Money, Talents, Experts... But most damaged on war
COVID-19 -> Maybe the Behaviour has something to do.
NOTE: Since a Scientist Professor
doing research on How Asian
Countries, North American fight against COVID-19,
a war between Life & Death. Using Data,
we show the problems & differences
between Asian Countries very much less number of COVID-19 cases than
North American fighting COVID-19 -> The problem has been solved.
Because US did not take mask seriously. Since then, a lot of talks about
this on TV, Social Media .. Before, although recommendation,
but people don't take it seriously,
because mixed messages
from Medical Officers, top Leaders not wearing mask, no benefit, counter
productive. -> Recently, some staffs at White House got infected
virus -> COVID-19 hit so
closed. We see US begins to embrace wearing
mask seriously.
Update May, June, July, 2020
continuing
Up-to-Date "Wearing Mask":
Help you and others Reduce COVID-19 transmission -> Save lives
Few Notes: " Wearing Mask will help reduce transmission
COVID-19, and save lives " long ago in
April, 2020, from a Research of
a Scientist Professor on
How Asian
Countries, North American fight against COVID-19,
a war between Life & Death. He said
: "- Inconsistent messages. People confused don't
know who to trust. They take messages wearing masks not seriously"
- Back then, in April 2020,
He explained the difference between North American and Asia in war
with virus is wearing mask. He also explained in his post
that COVID-19 can transmit as tiny particles,
aerosols thru air, staying on air for a while, since he had watched Japanese
scientist did the experiment. That's why when people large gathering,
beach, talking, laughing, sneezing ... will
spreading COVID-19 to others. In this case, "wash hand" can't help, when you
breath in. Mask is great help. Back then, some local Doctors on TV
rejected the ideas COVID-19 transmit thru air, said, such as: "
Mask counter productive, not benefit, even dangerous.
". Health Officers, Politician didn't want to wear
mask, played down mask. They said Social Distancing 6ft, Wash Hand good
enough. North American see mask not
important, counter-productive.
In early April, 2020, he recommended: "- In reopen economy, wearing mask
is a must, additional defence, where social distancing is hard to maintain,
hard to mobile, lost control, mis-behaviour, lax. Just wear mask as
additional defence." Since then, the Behaviour has changed a lot.
He said: - As a Scientist, every one should
contribute. The most important is people now take masks seriously. Save
lives. " - He
began document the Date which Health Officers, Politicians began the
change on Mask. Take a while, even WHO. Should
be in early stage of pandemics COVID-19
- May 11,
2020: White House staff wear masks.
After a staff infected COVID-19. As
a staff working in White House, He was tested negative COVID-19 many times.
But last time was positive COVID-19.
Testing is not vaccine that certificates you immune from
COVID-19. You still need careful protection.
- May 12, 2020:
Quebec is 1st Province, its city is Montreal, in Canada urges
its people wear mask when out public. Canada like US before, Wearing Mask
not taking seriously. But Quebec Premier Francois Legault,
1st Leader in Canada, arrives at a news
conference on the COVID-19 pandemic wearing a mask
for 1st Time. No Leaders in Canada wear mask in Press or
Conference. While Leaders in Japan almost in
Conference wear masks.
- May 14, 2020:
Ontario and its Capital Toronto, following Quebec,
encouraged people wearing mask, specially where Social Distancing is
challenging. Many big supper markets in Toronto like Loblaw, Food , many
stores tell people mandatory wearing mask, a must in their store. Some
Doctors on TV before saying mask was counter-productive. Now change their
opinion to consider "wearing mask". Even for Doctors, Politicians, wearing
masks still different view, inconsistent messages,
changing many times, from one to others.
- May 20,
2020: Canada's top doctors Chief Public Health Officer of Canada
from Public Health Agency of Canada now say:
- Non-medical masks
now (today May, 20, 2020)
recommended for Canadian.
Wearing non-medical masks
can help stop the spread of COVID-19.
This advise is reversed from the advice before that "Wearing
Mask is counter-productive", inconsistent message
before.
First time, see PM Justin Trudeau was wearing mask
in public, when entering Canadian Parliament. Canada like US before "wearing
mask" not important, counter-productive. -
Before, many local Canadian Doctors, even
Quebec's Minister of Health on TV said that "Wearing Mask" was
counter-productive, no benefits -> Not too late. Since extreme measures (not
include wearing mask, only official recommended in May 20) began during
"lockdown began March 15", in March 20, = 215
COVID-19, 0 Death -> As May, 20, 2020, =
80,102 COVID-19 confirmed in Canada, 6,028 Deaths.
- May 20,
2020: Governor New York launched a campaign " New York
Wearing Mask ". He said on TV
on this day: - Wearing mask
works, and help reduce
transmission of COVID-19.
- May 21,
2020: Spain today asked mandatory everyone above 5 years old
wearing mask.
- May 24,
2020: Doctor Birx, Chief White House Task Force on COVID-19,
wearing mask, first time admitted " -
Clear scientific evidence
masks work, help. Wearing
Mask when Social Distancing hard to maintain."
She just realized now wearing mask work, help reduce transmission virus. Not
just long before, she said wearing mask non beneficial, counter
productive.
https://www.businessinsider.com/birx-clear-scientific-evidence-masks-work-trump-able-social-distance-2020-5
- May 27,
2020: US COVID-19 Deaths surpassed
100,000
In less than 3 months war with COVID-19..And
40 millions people unemployed. Economy went down even more than Financial
Crisis 2008-2009.
People didn't have to die.
In less than 3 months war with COVID-19, more than American died in
these major wars combined: Korean War = 33,686
(1950-53), Vietnam war 58,220 (1964-72) US Army
withdrew in 1972 completely out of Vietnam. Fall of Saigon in 1975. War
after 9/11 Afghanistan war 2,372 (2001 - 2018),
Iraq war 4,424 (2003-2018).
In all these wars Total = 98,702 - Japan
Attack on Pear Harbor In total, 2,403 Americans
were killed. The War of 1812-1814 American invaders, annexed Canada,
roughly 15,000 Americans died as a result of US
fighting with Britain and Canada. Roughly 8,600 British and Canadian
soldiers died from battle.
June, 16, 2020 - Total American
Deaths by COVID-19 = 116,700 in
just 3 month -> More than Total American Deaths
in all major battles abroad in 200 years
= 116,105,
since 1812 Battle American with Britain & Canada to Present, except WW2. Not
including economic damages. Message for
people looks down on COVID-19. Be careful.
- May 27,
2020: Doctor. Christopher Murray, Director of the University of
Washington Institute for Health Metrics and Evaluation said:"
The Data is clear: The path
ahead in the COVID-19 pandemic is being shaped by masks.
We now have really
clear evidence that wearing masks works -- it's
probably a 50% protection against transmission." ->
Wearing mask early could reduce Infection and Death to 1/2. Which
translates into tens of thousands of lives could be saved.
Which validates the Research of a Canadian Scientist in April that :
" - The big problem of American in war COVID-19
a result of big casualty is not wearing mask, not taking mask seriously.
Problem solved. " - Back then, top Doctors, Medical Officers
on TV said: "- Do not wear mask, counter
productive, no beneficial ". Since May, 2020, many Policies about
Mask have been implemented.
- May 28,
2020: New York Governor ordered Businesses in New York :"-
Do not allow customers who do not wear mask to enter in their
store".
- May
29,
2020: A Doctor on CBC News 8PM, May, 29, she said:
"- There is no data that proves Mask is effective".
-> Even between Doctors have different view about mask.
Inconsistent messages. Which made common people
confused, not take mask seriously. Simple understanding like Mask work, help. But even Doctors don't understand.
- June 1,
2020: Today,
WHO ( World Health Organization)
officially recommended people should wear mask, specially
where Social Distancing is challenging. WHO changed its stance on wearing
a mask. Take a while. A Scientist Professor, who proved
Human to Human Transmission,
air-Transmission, and thus need mask,
the benefit of mask, recommended wear mask when Social Distancing
is challenging long time ago said: -
Could save alot of lives.
https://www.wionews.com/world/who-updates-guidelines-on-wearing-masks-303693
July 1, and 4, 2020 - Canada
Day, US Day ... We revisited mask and COVID-19 after reopening in both US,
Canada. Since reopening, COVID-19 cases spike in US. Toronto now
mandatory required people wearing Mask in
Public places, on Subways, Transit Bus, Library ... In US, many states
like New York required mandatory Mask wearing in public, in business ...
Doctors, Scientists say Mask save lives. Which a Scientist Professor
recommended back in April, May that "- Not wearing
Mask, not taking mask seriously is the main reason US had huge COVID-19
cases, huge death, get infected and died by COVID-19 "
In July, 7, 2020
- About 239 Scientists in the world asked WHO
(World Health Organization) look into Research that COVID-19 is Airborne
Transmission. Which means that COVID-19 can
transmit thru air by micro droplets, tiny particles that can linger, stay in
the air. People breath in micro droplets. In this case, need mask to protect
you, wash hand is useless, not prevent you get infected by COVID-19.
In reopening reality, we see that most COVID-19 infections come from
large public gathering, large crowd, bar,
beach, crowded people, close contacts, closed space room, Yoga Class ... - In these
settings, washing hand doesn't prevent people from COVID-19 infection.
People need wearing mask for protection. Just like Mask, WHO rejected
the benefit and prevention of Mask before. Later they change their View.
Now, WHO one step behind the understanding COVID-19 Airborne
Transmission. Dr. Richard L. Corsi, dean of Maseeh College of
Engineering and Computer Science at Portland State University, and one of
239 scientists from around the globe appealing to the World Health
Organization and other national health bodies to formally recognize the
potential for the airborne spread of COVID-19 said
that: - “The debate over
whether the airborne transmission route occurs is over. Many of us have
claimed its relevance from very early in this pandemic. It was real then.
It is real now. Period.” - Which a Canadian
Scientist Professor recommended back in April, May (see Blog April,
May) that: "- COVID-19 can transmit thru air,
air transmission, airborne via small micro droplets, tiny particles. Which
can linger, stay aloft in the air, and can travel in space in the air. If
you in the room, in the air space, you could breath in the COVID-19 and get
infected."
On Tuesday July 7, 2020, the WHO
acknowledged evidence is emerging of airborne spread of the pandemic
virus, WHO said that in quote:
“The possibility of airborne transmission in public settings — especially
in very specific conditions, crowded, closed, poorly ventilated settings
that have been described, cannot be ruled out.”
- Before, WHO said that
"- COVID-19 spread via droplets only one
or two metres before dropping to the ground" - Which
encourages people do not wearing mask, not taking mask seriously.
July 10, 11, 2020 -
In July 10, 2020, WHO confirmed COVID-19 spreads Airborne, air
transmission. People can breath-in virus get infected if not wearing mask.
- In July 11, 2020, Pres Trump on July 11, 2020
wears mask in public for the first time, during a visit to military
hospital Walter Reed. Maybe now he sees the
important of mask is not just to protect others as alot people thought.
That's why alot people don't wear mask, because
they think mask just protect others not themselves. But now,
after WHO confirmed COVID-19 spreads Airborne, Air Transmission, people can
breath in virus and get infected. Which now proves that
"wearing mask" not just to protect others but also to
protect yourself. Before people, including Doctors, Heath
Officers, WHO believe that "Wearing Mask for to protect others, because it
covers your mouth, nose to shoot out virus when
coughing, sneezing, talk loudly.. into objects around in
environments. Then people touch on these objects, then touch their eyes,
nose.
July 13, 2020 - Quebec asked "
Masks to be mandatory in Quebec. as of Saturday July
18, 2020 in indoors public places, stores, bus, transit " -
People will be fined even jail not wearing mask. People can call Police on
people not wearing masks. Before not mandatory, not penalty.
July 15, 2020 - A Doctor from
McGill University on CBC News in July 14, said that :" -
Mask helps protect others not the person wearing mask " - Even
Doctor got wrong on Mask, an important tool against COVID-19. In July,
15, on CNN : - Mask protect both the person wearing
Mask and Others as well. As we said:- "Mask
protect both. People less likely wear mask
if just protect others. They have reason :
" Why should I wear mask, uncomfortable, just to protect
others. "
- Three W’s to ward off COVID-19:” 1) wearing a mask, 2) washing your hands,
and 3) watching your distance. But of
the three, the most important thing is wearing a mask. There’s
less likely that fomites (contaminated surfaces) are a major source of
transmission by touching your hand, then touching your eyes, whereas there
is more likely that the COVID-19 transmission through inhaled
droplets, tiny particles, micro droplets, aerosol. That's why COVID-19
spreads thru air, airborne, aerosol, so fast and furious.
Avoid 3 C's = 1) Crowded people 2) Closed
Contacts of people. 3) Closed off space room, indoor. These 3 C's
you could likely inhale, breath in virus. Wear mask. "
July 20, 2020 - The World
Health Organization (WHO) has called upon people across the globe to avoid
the "Three Cs". Very good -> I already
recommended on July, 15 = Avoid 3Cs.
https://www.sentinelassam.com/editorial/follow-the-3-c-s-489905
July 22, 2020 - A Doctor, from
University of Toronto, on CBS News, The National, July 22, said that : "
Mask should not mandate in schools. Mask could be
counter-productive for students " - Again, no brainier. Not good
message send out. In July, 23, B.C Doctors go to court asking for "
demand mandate masks in schools " . Many
Cities, States, Provinces, Countries already mandate "wearing masks".
See back in April Blog down below, I
already recommended
enforced wearing mask and
What measures for School open safe for students,
teachers to prevent COVID-19 between Life and Death
 |
On Saturday, July 11, 2020 NHK Japan: - WHO confirmed on Friday, July 10, 2020: - Aerosol spread possible -> Which means COVID-19 spread thru air, airborne. People can breath in virus. It is scary. Which explains COVID-19 spreads fast & furious thru aerosol, micro droplets breath in than thru hand touching. People should take COVID-19 seriously. Accidently after the Date July, 7, when I posted in Blog about WHO and COVID-19 Air transmission, airborne. Now WHO confirmed on Friday July 10. That's why I update the Date about Mask. |
NOTE: WHO (World Health Organization)
has tens of thousands Doctors, Health Officers & Scientist. Their
budget 4.4 billions . It is big. WHO
has big influence over Doctors, Health Officers of many countries around the
world, that contribute money to WHO. That's why
Doctors, Health Officers in many countries follow Who's Health Guidance to
fight COVID-19. Many of them worked for WHO.
a Canadian Scientist Professor says:
" Understanding both Wearing Mask protect
both you & others, not just protect only others, and COVID-19 Airborne
Transmission at early stage would save
thousands of lives and
billions of dollars Health Care Cost.
Understanding Mask & COVID-19 Airborne is the
most important tools of prevention to fight against COVID-19 between Life &
Death "
 Note: This Air Conditioner in restaurant setting in closed contacts in a closed space room is different with Air Conditioner in Building, Apartment, which unlikely transmit virus from air-conditioners in apartments. |
UPDATE: June 6,
2020 - NHK WORLD Japanese --------------------- - Research Scientists proved Air Conditioner enable COVID-19 transmission of customer Asymptomatic A in middle table A, by air-conditioner is circulating virus in air between 3 tables A, B, C in restaurant. Other customers could get infected COVID-19 by "breath-in" no mask, even more than 2 m in same room. It is Air Transmission. People, Doctors, Politicians, WHO Health Officers think COVID-19 transmit mainly by touching your hands in to your eyes. Thus need hand washing. But they don't think COVID-19 transmit thru air by nose "breath-in", inhale, exhale. -> Why Mask for Dummies - Mask helps cover your nose, mouth when talking loudly, speaking, coughing, laughing, sneezing ..to shoot out virus, tiny particles, micro droplets, droplets into closed objects, environment, into closed contact people. Thus first of all protect others breath-in or touching objects. Mask also helps you not breath-in virus. Thus protect you. People less likely wearing mask if they think just protect others. They wear mask to protect themselves first. That's why large gathering very dangerous without mask because of air not touching. Where Social Distancing is hard to maintain.-> A Canadian Scientist already recommended this long time ago. WHO just recommended today. Since a Canadian Scientist Professor has solved problem: - Why US has more COVID-19 infections & Death, long ago, which helps open acceptance and change Behaviour about "wearing mask". How many times we have to explain to No Brainers, Doctors, Politicians about important of mask. Save lives. 1st Frontier is the Behaviour to Protect yourself. If you wait to 2nd Frontier Testing, you already late one step behind. After reading Blog , we just save your lives, thousands of lives. |
For example, Some local Canadian Doctors said No,
mask counter productive.
Mayor Toronto, advised "wearing mask" recently, while other
Mayors not recommended. Same for Politicians. Mixed messages,
undecided, inconsistent, even such important
Behaviour between life & death like wearing mask. Not too late.
How fast COVID-19 can spread fast thru
air - A Research Scientist said: -
Why you should wear a mask, not just Wash hand. He confirmed
COVID-19 can transmit thru air by just talking, laughing, breath in. Watch
this video from CNN May 14, 2020 -
Click here.
When I walked in ATM bank, I realized I
should wear mask. In so many public places where Social Distancing can't.
|
Update: April, 2020 in lockdown COVID19 According to a Canadian Scientist Professor: - Should we wear the mask? -> A million dollars question. Make a big difference between live and death, and spreading COVID-19. A Story: COVID-19 can spread by building ventilation, store ventilation, say Canadian researchers. The outbreak of COVID-19 at a restaurant in the southern Chinese city of Guangzhou was a puzzle. The suspected index patient was a visitor from the corona virus’s epicentre in Wuhan. But the eight other customers who later tested positive were not sitting close enough for droplet transmission. A team of local scientists eventually came to an eye-opening conclusion about the episode: tiny particles of virus had hitched a ride on currents created by the eatery’s air-conditioning. COVID-19 can be spread by building, store ventilation, say Canadian researchers. https://www.msn.com/en-ca/news/canada/covid-19-can-be-spread-by-building-ventilation-say-canadian-researchers-working-on-an-hvac-fix/ar-BB13eiDF?ocid=spartanntp NHK World Japan has done a experiment with Japanese scientists using Camera can enhance 100,000 times size of hair. It captures tiny particles when a person sneezed or talked loudly drifting far away more than 2m in the air by air conditioner in small closed space. Even so many Doctors on TV recommended wearing mask not beneficial, necessary unless you are sick or nurses, doctors, before and after the outbreak. But this proves that we should wear the masks all the time to avoid infection and spreading, even practicing "Social Distancing 2m away". In Asia, the rate of infection & death are very minimum, like Vietnam 100 millions people, but only 270 cases COVID-19, 0 death as of April, 27, 2020. And their Health Care is not as big budget as many G7 countries. They wear masks from early beginning. But in North America, Europe, people don't take "wearing mask" seriously. Even Doctors on TV recommended wearing mask not only no effective, but easy get infections, scare people. As an example, 95% citizens in Canada, US do not wear mask out side home, on street, in the opposite, 95% citizens in Vietnam, Japan wear mask on street. Almost Politicians in Asia on TV wearing masks, but not see in North America, in Europe. Still now. Or they take it "wearing masks" seriously just recently. Too late. -> As we see the numbers of COVID-19, and death in these countries are very high. In US, most advanced & huge budget Health Care & Technology in Industrialized Countries, G7, approaching 1 millions COVID-19 cases in just 2 month from few dozen in early March, 2020. In Canada as of April 27, 48,500 COVID-19 cases, 2707 death. Update: After the above Story in April, 27, 2020, On same day's night, on the National, an icon show Nation's News of CBC News at 9pm Toronto time, there was an interview with the Chief Medical of Canada, who admitted that she changed mind-set on her past recommendation that "wearing masks not beneficial, even counter productive" - Now on this Interview, she admitted that shifting on masks has changed again in this Interview that wearing mask is beneficial, an extra caution for people, and reduce spreading COVID-19. Another example, on NHK World TV, Japanese Parliamentary, including Japan PM Shinzo Abe, all wear masks, and Social Distancing, in Parliament Hall. While in total contradict, Canadian Parliament including PM Justine Trudeau Social Distancing, but not wearing mask. As you see, Japan and Canada has different view on masks. In Japan, 127 m population, as of April 29, 13,852 COVID-19 cases, 389 deaths. In Canada, as of April 29, 51,230 COVID-19 cases, 2984 deaths. NOTE: If we can help explain problems, problems solving, then take it. If not, then learn, caution. Back to a million dollars question between Life & Death, and spreading COVID-19: - Should we wear the mask? -> Even there is a big differences between Canadian Doctors & Scientists and Japanese Doctors & Scientists. For Canadian Scientists, look at Japan Parliament, where Ministers, PM, top leaders of a country, say: - It is not safety for leaders, because they seem sitting seem closer than Social Distancing recommended. They are wearing masks, but masks are not beneficial, not important, even counter productive. For Japanese Scientists, look at Canadian Parliament, where Ministers, PM, top leaders of a country, say: - It is not safety for leaders, because they are not wearing masks although Social Distancing. In Hong Kong, Vietnam, Gov warms people wear mask first of all. Look at the Data, most Asian countries, by population ratio %, the number of people COVID-19 infected much less than North America People can catch COVID-19 by inhale, breath in tiny particles, which wash hand can't prevent, smaller size as100,000 times human hair. Which explains why COVID-19 spreads so fast & furious from few cases to millions of cases in just 3 months. -> Thus mask help protect, when talking, sneezing, coughing. Which wash your hand can't protect you in this case. Of course before entering this room, they have temperature checked, wash hand ... People can still spread virus even show no symptoms, check temperature normal, no coughing. It seems likely that this will occur more often in the healthiest and the younger age groups, including most children, called Asymptomatic COVID-19. -> " - Person has been exposed to a disease (like Hepatitis C, COVID-19 ...), then immune from that disease. But who is still carry with them the virus of the disease, and transmit them to others, 1st their family " -> Asymptomatic Transmission is the reason health officials today changed their stance on masks. (CNN May 5, 2020).  This photo captured on computer by a Canadian Scientist, on NHK World TV in April 29, 2020 showing Japan Parliament, Japanese leaders are sitting close. All is wearing masks -> For them, wearing masks more beneficial, more protection, more important. When PM Abe talks, he is shooting out thousands of tiny light particles and heavier droplets in to the air. But all of them droplets, particles are trapped by his mask not spreading into air, not floating in the air, and not dropping around objects nearby. Which other people could touch them by hands or inhale. -> Mask helps right away, cover mouth, nose, cover tiny light particles come from mouth, nose at first line of defence, first of all, when talking, coughing, sneezing, and then help others wearing masks stop inhale, breath in what ever in the air. Wash hand in this case does not prevent virus. Every one should think like you have virus inside. Mask stops people shooting out virus as well. -> Social Distancing lets the tiny light particles still come out first from the mouth, nose in the air when speaking, sneezing, coughing, and other people not wearing mask still inhale, breath in what ever in the air, influenced by ventilation, wind. In the air, there are hundreds of thousands, millions of tiny light particles depend on crowd of people, some tiny light particles dropping on near surface, object then people get infected by touching. If wearing mask could prevent this spreading. Some tiny light particles drifting away. According to a Canadian Scientist, Japan Parliament although sitting closer, but wearing mask, it is safe. Watching TV from International Countries helps me see thru their societies, on their streets, see the differences how they live & deal COVID-19 that others can't see. - What does it mean "Stay Home"? -
"Stay Home"
is ** the most
effective prevention helps reduce Testing, reduce Infection, reduce
spreading ** you and others from infecting & spreading
COVID-19. Stay Home
works 100%.
-> Just "Stay Home"
help flatten the curve. So
when you hear COVID-19 cases begin flatten the curve ->
It is from "Stay Home"
easy, a simple measure, like during lockdown.
So people want to out door again. Be cautious. -> COVID-19
cases could begin again. The 1st wave
COVID-19 is spreading from few people in Wuhan. The 1st
wave causes so damaged in just 2-3 months, already seen.
The 2nd wave
every where countries, not just a few spreading in
Wuhan like 1st wave, will have already tens of
thousands people already infected COVID-19, and tens of thousands
people from Asymptomatic COVID-19, who
have virus, but not show any symptom, healthy, normal, because they
may have good immure in their body subdue virus like children, young
people. But they still can spread virus to
others. According to a Japanese Professor, the majority of
COVID-19 cases spreading by these Asymptomatic
COVID-19 people, the silent
spreaders. -> That's explain why
older people like retired, most stay home, not
active life style, but got the most infected, most deaths ->
Because young people live in same home.A Story: A person is called an out Patient A, who got diaries, then visited a Japanese Hospital as out patient, show no symptom of COVID-19. This Patient A then infected the Doctor, who saw him. -> Then that Doctor infected his colleague Doctor. -> Then spreading many Staff, many patients in hospital -> They have to trace around 600 people. Caused an outbreak in many near by Japanese Hospitals just 1 person Patient A. - Should students wear mask in classroom? -> Yes in new normal COVID-19. Should enforced wearing mask in schools. Good Ventilation, then of course Social Distancing, Scheduling classes less crowded, include online, Wash hand, Check Temperature. . Wearing mask doesn't mean not Social Distancing. Of course, we still keep practicing Social Distancing, Wash your hand. -> A Canadian Scientist Professor, doing researches, says: How Asian Countries, North American fight against COVID-19, a war between Life & Death. Scientists play very important role. - When doing research, I use Data and open mind. I look thru different windows, in different societies in different countries, listen thru different background Experts. So that can see the differences, different opinions, different society. -> You don't see the differences if just look and compare yourself.-> See Data the number of people get infected and deaths in Canada, US really shocking, many times more than Asian countries. A Story:: Vietnam has done the best job against COVID-19 in Asia. During the outbreak in mid-March, 2020, I had seen on TV, a Vietnamese security guard fought with a man who did not wear mask. The man then threw his smart phone in the security guard's face. His face was bloody, severe injured. So many times the Police fought with people not wearing masks. Vietnam small area = 331,000 km2, 100 m people, Canada area = 10m km2, 30 x area than Vietnam, only 38 m. Social Distancing is very difficult to maintain very crowded clusters of people, they rely on masks, another extra defence, to protect from virus. => Why US had the most number % by population = More than 1.15 millions of COVID-19 cases, and 70,000 deaths, giving US has the best advanced Health Care System, most biggest budget, best Experts in the world? -> Because they don't take masks seriously, the first defence from virus, in the beginning. - The Behaviour - The big Mistake. Since 2001, the Afghanistan War, US has about 2500 deaths in 19 years of war. But COVID-19, only 3 months, more than 60,000 deaths, and a whole Economy sinks, more than 30 millions people lost jobs. Still just the beginning. I also looked at all measures again COVID-19, like Social Distancing, Wash hands, How COVID-19 Infection spread, Track Infection, Testing, Vaccine, How they handle Economy, Budget.... US is doing good - Like almost Asian Countries, US practiced Social Distancing very early in March before the outbreak. Only not wearing masks, not taking masks seriously. " -> That's why, from Data, the fact, the result of policy, measures, no biases, their COVID-19 cases & Deaths very high, keeps increasing. -> Hope will help solve problem. Save lives.
|
 Using enhanced camera 100,000 size of tiny hair, Japanese Scientists & Researchers found and captured tiny particles when a person sneezed or talked loudly drifting far away more than 2m Social Distancing, in the air by air conditioner in closed space, like in 8 patients in a restaurant in the southern Chinese city of Guangzhou. If these 8 people worn mask, they should be ok, help stop multiply. -> A Canadian Scientist says: - I myself watched this experiment before the out break mid-March on NHK Japan, scary seeing tiny particles captured on enhanced camera in dark room like thousands of firefly from nose, mouth scattering, drifting away in the air, waiting for people inhale. From this experiment, COVID-19 can stay in the air for a while. - Later, this has been confirmed by Japanese Scientists. - Canadian Researchers also confirmed COVID-19 can spread by Building Ventilation. - Chinese Scientists find evidence COVID-19 Can Float In the Air for Hours. The research also suggests that virus droplets that have landed on the surface of nurses' PPE could be knocked back into the air -> (This knocked back into the air is scary. I don't believe but they said in the Research). This kind of airborne COVID-19 can spread more people, dangerous. There is
preliminary evidence that COVID-19 airborne transmission — in which the
disease spreads in the much smaller particles from exhaled air,
known as aerosols — is occurring, and that precautions, such as
increasing ventilation indoors, should be recommended to reduce the
risk of infection.
The transmission of COVID-19 through human respiratory droplets and
direct contact is clear, but
“the potential for aerosol transmission is poorly understood.”
|
1) What should Businesses do to adapt in a new Time of COVID-19?
-
Have online strategy. Create, Build a
new Digital Cloud Platform, such as: Online
Businesses, Digital Businesses. Businesses that adapt
Digital Businesses Management,
online, distancing Payment,
Cloud Payment, *Cloud Print*
(Only Office software),
*Cloud Receipt*(Only Office
software), Cloud Cashier
like Office software.
Not in-store cashier like tradition store
(Not just pickup/delivery software like 3rd party vendor charge alot
of commission) to manage Orders, Customers,
Pickup/ Delivery, more profit,
less cost of operation, no commission paid for 3rd
party...
will be
a winner as
smart businesses.
And smart business needs smart people.
Tradition Business
more cost,
location, manpower, already gone
out of business.
COVID-19 will stay longer,
around 2 years more of social distancing even
reopen business.
So even reopen business, customers in-store
are reduced 75%, because social distancing.
Like before 100 customers in store. Social distancing required
only 25 customers. -> Less Profit.
NOTE: We have seen
a big jump demand
for our Office software during COVID-19 -> See
[Office Slide Show]
on top page
2) One good news when a lot
bad news every day. Take it.
=> Some people say:
During COVID-19, people suffer, heavy
losses. Big Home Price jumps make people uncomfortable.
=> A Scientist answers :-
Open mind. See far. Toronto Home
Price up 157,000$,
and 200 Billions dollars add on
and filter thru Canada Economy, not just in
Toronto, is a big gift
created from thin air, not from Tax Payers
Money, and no need working hard for 20y of saving, tax
break for middle class around 2500$
/ year, cost Gov billions of dollars. So many countries
devastated, damaged by COVID-19 dream
of this kind of money will help them recover later 1,2,3
years from now.
COVID-19 has
more few times damaged Economically than Financial Crisis in 2008 in
short time, according to a Japanese
Economic. I am only a
messenger sends good message. Right now, Toronto Home Market
is only hope for people losing hope,
specially for Middle Class own
Home, Condos currently see big losses, their businesses much damages
during COVID-19. Ave Home Price in Toronto up
157,739$
-> Home Price, Condos
Price up across the board. Estimate
around Toronto Home Price
up 157,739$ and GTA up
110,000$ -> Add on 200
Billions to the Economy in just
one year. It is as same as COVID-19 Relief Package.
In the past 20y, we see Middle Class Canada their Wealth
growth combined in
Trillions of dollars, has increased
double 2x, triple 3x, 4x.
On average
Canadian Middle Class Wealth
=
427,271$.
Which is most Wealth in industrialized country, G7.
90% of
Wealth, came from the increase of their
Home Price.
Because Home is 90% of Middle Class Wealth.
For example, 20y ago, Ave
Home Price around 218,000$,
a Semi Detached Home around
260,000$, Detached Home around
320,000$ -> Which today
price creates a lot of Millionaires in
Toronto.
A 20y middle class in Toronto says:
- We have seen a lot
of them from Nothing to become Millionaires in Toronto.
You have to live in Toronto to see or Do grade 5
math. All is about Data. See far.
According to
a Canadian Scientist, who live
thru, survival 20y middle class big city like Toronto, live thru
middle class in Industrialized Country like Canada, who see many Gov
Policies that has effect to Middle Class, who
wear Middle Class shoes in order to Understand. What Middle
Class Life Style and every day Living, Struggling, Hoping for ?...
Who has done a lot Research about
Bottom Up Economics
in industrialized Countries.
It is the Middle Class who pay the
Bills, all kinds of taxes, Income Tax (main source of
Revenue for Federal), Sales Tax (main
source of Revenue for Province), Property
Tax (main source of Revenue for City) ... It is the
Middle Class, millions of them,
combined Wealth in Trillions of dollars, who is heavy lifting the
Economy, and main leading force driving Consumer Confidence, 65% -
70% of GDP and Economy. -> This Middle
Class Wealth will help Consumer Confidence 65% of GDP, Economy
Recovery in many recession -> It is the Middle Class create Jobs,
grow Economy and increase GDP.
=>
Canada is the only country in Industrialized Countries has created
the Ministry of Middle Class and Prosperity last year Nov, 2019,
first time.
=> Toronto & GTA
Housing Industry, hundreds of billions of dollars, ave price up
$157,000,
add on
200 billions dollars , still
stand strong, is good news.
During COVID-19, all
kinds of people, all kinds of Industries, all kinds of businesses
asking for help, asking for money, for relief, cost
hundreds of billions of dollars. During tough challenging time of
COVID-19 a test
of one-in-100 years ->
Good performing Businesses, Industries
will survival during tough time, stand up, and keep going.
3) Question & Answer
during COVID-19.
Question:
- What should Businesses do to adapt in a new Time of COVID-19?
Answer: -
Have online strategy. Create, Build a
new Digital Cloud Platform, such as: Online
Businesses, Digital Businesses. Businesses that adapt
Digital Businesses Management,
online, distancing Payment,
Cloud Payment, *Cloud Print*,
*Cloud Receipt*, Cloud Cashier like Office software.
Not in-store cashier like tradition store
(Not just pickup/delivery software like 3rd party vendor charge alot
of commission) to manage Orders, Customers,
Pickup/ Delivery, more profit,
less cost of operation, no commission paid for 3rd
party...
will be
a winner as
smart businesses.
And smart business needs smart people.
Tradition Business
more cost,
location, manpower, already gone
out of business.
COVID-19 will stay longer,
around 2 years of social distancing.
So even reopen business, customers in-store
are reduced 75%, because social distancing.
Like before 100 customers in store. Now social distancing required
only 25 customers in store.. -> Less Profit.
Question: -
Who is paying the Bills, and the Taxes the most for the Economy ? -
Who is creating Jobs?
- >Trickle Downs Economics believe that
it is Upper Class, Billionaires who are creating jobs. US
President Ronal Regan had used Trickle Downs Economics for creating
his Policy in favour of upper class.
While Bottom Up Economics believe that
it is Middle Class, who are creating jobs, pay most Bills and most
Taxes for the Economy. Which one is true? -> Can you explain
using the real Data to prove, no
blah blah mouth no Data.
Question: - What is
Theory and Foundation of Bottom up Economics?
- When we say Bottom Up Economics, we say bottom up the
Middle Class, of course inclusive the
Working Class in Bottom Up Economics, but
Working Class is not the main
leading force for driving the Economy.
Question: - If give 1000$ for Upper Class, for
Middle Class, for Working Class, poor Bottom Class,
what will they do 1000$ first priority?
- Use your life experience thru different social classes.
Question: How do you
define a Middle Class?
- A Middle Class is defined by Income
around over 40,000$ and less than
100,000$. Or defined
by Wealth around Ave =
427,271$.
Most Middle Class is having Home, but not a must condition.
Like by Income, alot people income over
40,000$. But could
not afford home in Toronto requires at least
130,000$.
A majority of Canadian are in Middle Class
around 65%, 30% Working Class.
- Is a Millionaire in Middle Class?
- No. A Millionaire is top 5% of population not in
Middle Class. According to giant bank Credit Suisse there are
4.5% millionaires in Canadian Adult
population, Japan 2.7%,
South Korean 1.8%, Singapore 4.0%, German 3.0% millionaires in Adult population.
Unlike people think, Middle Class by Wealth
10x richer more wealth than Middle Class by
Income.
Question: Does it mean a
Middle Class had over 100,000$?
-> Not really.
49% Canadian, Japan, 60% American, 62%
German (Unification with East German) don't have 100K
(Data from giant bank Credit Suisse)
same as
most adult population in Industrialized Countries. An income
40,000$ after Income Tax + Misc
Deductable = 2600$ / month. Not
yet pay for Rent, other Living Expensive -> What ever
country, you must pay Income Tax. -> Pay all
Living Expensive like
Rent, Car, Car Insurance, Gas, Phone, Food, Grocery,
Smoke, Drink, Travel, Misc ... enough survival, no saving.
In Toronto,
Rent 1-bed room = 1600$ / month.
That's why Data from giant bank Credit Suisse
is accuracy. Almost
Middle Class in Industrialized Countries share the same. But Middle Class
Canadian is richer because of
Home.
Used Data we can see thus making good decision.=>
From Data, we see that Middle Class by Income is
less Rich, less Wealth 10x than Middle Class by Wealth. -> It
doesn't matter How much you make -> How much you have that counts.
For example, a middle Class mid-income
50,000$ / year after Income Tax =
3250$ / mo -> Take 50 years
working hard to have same Wealth with a Middle Class by Wealth Ave =
428,000$.
If income = 40,000$ / year -> Take 60
years to have 428,000$.
=> For example, Saving is
600$ / mo -> 7200$ / year
-> Take 60 year to save
428,000$.
- Behavioural economics.
Study about the effect of Emotional
Intelligence, Cognitive Decision, Culture, Society, Psychology, social
classes
of Individuals, citizens on irrational
making decision economically.
It helps us measurable,
understand Human Behaviour better when
they react to different Economic
Situation, and Economic Policy. From
Behaviour Economics, we
can develop Policy, design Models
of Consumerism's Behaviour,
Sales & Marketing Strategy
in order to
response to change in Policy and Market Condition.
Which makes the difference between Tradition Economics and Behaviours
Economics.
The importance of understanding Behavioral Economics
for marketers is immeasurable as it allows for
a better understanding of the human mind.
-> The Behavioral Economics
usually are scientists who experience life thru
different social classes, wear their shoes.
Question: During COVID-19, should we give a
bit more for Middle Class, who suffer the most by Income?
- For example, A middle Class income from
50,000$ or 4000$ / mo now down to 2000$
/ mo giving by relieve benefit? -> Not really. Japan, Canada
gives the same money distributed the same to every one,
regardless social classes, rich, poor, income,
even the working class more advantages in benefits,
less losses economically by COVID-19. But US process differently thru
EI system giving based on Income, make easy eligible. Then give extra 600$
to every one, rich, poor, regardless social classes. This way fair, simple
process, simple rule, easy design software system, avoid wrong payment,
double pay...
 - Giant Banking Credit Suisse forecasts Canada Millionaires will big jump more than 1/2 next 5 years, 2023 more than any G7, developed countries including US. This Report from 2018, where Ave Home Price = 787,856$. Most of the big 1/2 jump Canadian Millionaires from Toronto, where an increasing Home value. Currently Home Price up more than 100,000$, there are 260,000 Millionaires in Toronto, Singapore is the richest country in Asia has 183,737 millionaires. Recently, Hong Kong takes the lead over Singapore as richest country in Asia. |
Less than $100,000:
Canada 48.9%, Japan 48.9%, UK 50.6%, Singapore 52%, US 60%, German 62%, S.Korea 60%, Thailand 99%, India 99.3%, Indonesia 99%, Philippine 99.2%, and 95% World population. - Almost 1/2 Adult population in rich developed countries like Canada, Japan ... don't have 100,000$. -> Not easy to have 100,000$, unless have home.-> After COVID-19, the number could up 10% more people don't have 100,000$ on top current good number in good time. For example, in Canada, Japan = jump 60% have no 100,000$ from 48.9% after 1st wave of COVID-19 for 4 months -> Government any country will not afford 2nd Wave COVID-19 of money giving same money in 1st wave -> Save money for next big raining day. Unless having vaccine take at least 1 year. COVID-19 one-in-100 years. A Data Scientist Professor looks at this real number => In US March,1 only 62 COVID-19 cases -> In 18, April, 706,880 confirmed cases. => Giving already strict Social Distancing -> What if not? Millionaires Rank by number not ratio by Population US #1 =8.7m millionaires in 330 million population, China #2 =1.9m in 1.4 billion, Japan #3 =1.6m in 127m, German #4 =1.02m in 84m, UK#5 =894,000m in 68m, France #6 =878,000m in 70m, Canada #7 =505,000m in 38m, South Korean #8 = 477,000m in 52m, Australia #9 =474,000m in 25m, Italy #10 =418,000m in 60m. If rank Millionaires by Population, Canada or Australia could rank#1 Data from Giant Banking Credit Suisse - |
Canada provides Canada Emergency
Response Benefit (CERB) package relief to people who lost job
because of COVID-19 virus for 4 months of benefits. It includes people, such
as:
1) Who do not qualify for EI, such as, not enough Insurable Work Hours. Such
as, in the past to apply for EI in region Toronto required 700 working hours
or 4 1/2 month will get 14 weeks benefits. Now because of COVID-19, even
work less than 4 months, work Part-time less hour /week, still eligible for
EI Employment Insurance Benefit -> Will get 16 weeks benefits of
2000$ / months.
2) Who work on contract, precarious, seasonal jobs, short term, part time
contract job ... Qualified.
4) Increase more Canada Child Benefit (CCB) currently regular benefit 550$ / month
/ child for child under 18 age.
5) Increase more benefits for Seniors, Free Interest for Student Loan
...
6) People who got sick, stay home take care children, on quarantine because
of COVID-19 also get 16 weeks benefits of 2000$ /
months
7) Wage Subsidize 75% employee salary dated back March 15, 2020
to encourage Business keep employees,
cheaper Loan Credit, 0 interest for 1 year, grant 10% of Loan if paid
off loan on time for businesses.
8) If you receive the Goods and Services Tax credit (GSTC), you will
automatically receive a one-time special payment by early May of almost $400
for single individuals and $600 for couples.
9) Ontario is doubling the Guaranteed Annual Income System (GAINS) maximum
payment for low-income seniors, for six months starting in April
10) The individual tax filing deadline is deferred to June 1, and the
deadline to pay any balance due for your individual income tax and benefit
return is deferred to September 1.
If you expect to receive benefits under the GSTC or the Canada Child
Benefit, it is advised not to delay the filing of your return to ensure your
benefits for the 2020-21 benefit year are properly determined.
11) Gov is working with lenders to allow deferred mortgage payments (contact
your mortgage provider for details).
12) For Canada Student Loan holders, there is a 6 month, interest-free
moratorium on Canada Student Loan payments.
13) Ontario Student Assistance Program (OSAP) loan repayments are suspended
from March 30-September 30 during which time borrowers will not be required
to make any loan or interest payments.
14) The Province is setting electricity prices for time-of-use customers at
the lowest off-peak price, 24 hours a day for 45 days effective March 24.
15) The City of Toronto is providing a 60-day grace period for property tax,
water and solid waste utility bill payments and late payment penalties as of
March 16.
COVID-19 is not biased Rich, Poor, Color of
Skin ... Everyone has loses big or
small depending each story.
A True Story:
It is true story on TV from a different country.
A local office is giving relief gift, including noodle bag, rice .. to
people effected by COVID-19 economically. Most of them poor line up for
receiving gift.
There was a man drove a car, parked near by
parking lot. Then he lined up for gift. - People criticized: -
You are rich, have car. Why do you still need gift?
He was rejected the
gift.
The man explained to TV reporter: - "
Before COVID-19, I had good job, work very hard, made a lot money, a lot
more than minimum wage, a lot more than money giving by Gov to support
citizen during COVID-19. So I can afford home, car go to work. Since
COVID-19, I lost job, lost income. I have more bills to pay than anyone
line-up here: Car Insurance, Car loan, Gas, Home Mortgage, Utility, Home
Property Tax, Home Insurance ... I am also much difficult situation."
- COVID-19 happens
or not, people have nothing not much changed. Canada gives 2000$ / month,
500$ / week, for 4 months, for every one lost job same as Net Income of
minimum wage 14$ / hr = 2240 $ / mo after Income Tax.
So the people, like Middle Class, who work more than minimum wage, more
Living Expensive like Home, see big lost. Most people think abstract
from feeling (quick, general, simple. No need Data take long time, do
research. Tiered or How Do Research? ). Like on TV
says people of working class, low wage most suffered during COVID-19.
Using Data, middle class lost, suffer most.
Update: On April 12, 2020,
in US, thousands of cars line up on
street, drive-thru for relief gifs. Unbelievable see on TV in America.
Described as it happens one-in-100 years.
Like Depression in 1929, only difference is people drive car. The man who is
the Officer to give gift says to TV Reporter: -
Anyone, regardless driving fancy car, living in fancy home, all qualify for
the gift. Because they lost job, lost income like every one.
NOTE: Compared to most
Industrialized Countries, G7, Canada has the most generous Relief Benefit
Package by ratio of population
For example, Canada Child Benefit, regardless
Social Classes, rich, poor, giving extra 300$, every month, on top of regular 550$/mo Child Benefit =
850$ / month / Child for child under 18
age. During
CIVID-19, consider a low income family, working minimum wage with
2 children will get = 2000$ x 2 (for 4 months) + 1700$ (Child Benefit every
month, COVID-19 or Not) = 5700$ / month.
Update:
April, 15, 2020:
Just-in today.
Canada now expands
Canadian Emergence Relief Package to
people, who work Part-time Jobs, Contract, precarious jobs less hour / week
... These workers will not qualify for EI, or before this expand, because
work contract job, less hour, not full time, such as, work 12 hr/ week, 48
hr / month. This expands will make them qualify for
CERB 2000$ / month for 4 months.
However, the government is
expecting companies to take advantage of the Wage Subsidy Program that gives
75% salary of worker to businesses in order to keep workers, meaning fewer
of them would be in receipt of CERB.
- A Canadian Scientist says: - I see a lot of my friends, who are Scientists doing
high paid from 100$ / hr Scientific & Research job. Employer
can't afford them full time. They get hire working
on part-time jobs, precarious jobs, contract jobs, season jobs.
CERB is giving regardless background,
rich, poor, social classes. Every one is treated equally the same benefit.
- Some people say,
Consumer Spending in
trillions of dollars,
account for 65% of GDP Economy, in most Industrialized Countries, G7,
and Middle Class is main
leading & driven force driven in Consumer Spending.
Millions of them Middle Class's
Wealth combined few
Trillions dollars in Wealth for spending. In Canada,
estimate 6 Trillions of dollars or
6000 Billions of dollars of Middle
Class Wealth. On average, Canadian Middle Class has Net Worth around
427,271$. It is better than UK,
German, France, Japan in G7. Without them pay Mortgage, pay Bills, and
Spending every day, Banks, Businesses can't survival.
Consumer Spending more than
Gov Spending + Business Spending & Investment
+ Export combined, all around 35% of GDP.
Currently Canada Gov spends for COVID-19 benefit around
200 Billions, around 10% of Canada GDP
2 Trillions only 38
millions population, compared to Middle Class Wealth in
few Trillions. If they have more loses and more
debt increasing during COVID-19 already, then will take a while,
longer recovery for Economy, not big V
shape few months.
For example, Canadian Consumer Spending in
4th quarter 2019 = 1,187,371 millions = 1,188 billions = approximately
1,19 trillions.
Canada Gov Budget 2019 =
$355.6 billion
Update:
April, 22, 2020
The new Canada Emergency Student Benefit (CESB):
$1,250
per month from May through August for eligible students, and $1,750 for
students with dependents or permanent disabilities
The new Canada Student Service Grant (CSSG): Up to $5,000 for a student’s
education in the fall for students who choose to work in national service
positions and serve their community.
Doubling the Canada Students Grants Program
Broadening the eligibility for Student Financial Assistance
Creating 76,000 jobs for young people in addition to the Canada Summer Jobs
program, in sectors that need an extra hand right now or that are on the
frontlines of this pandemic.
Specific support for Indigenous students
- Will continue updating News relating to COVID-19
Projection Forecasting Data Modeling
- How much is accuracy? - All is about
Data
A Scientist Professor, who is not only Professor Teaching
Data Science, Computer Science, but also Scientist Building Software
Analyse & Manage Data Management
said:
- Recently, COVID-19 all is about Data.
Scientists give people some Models what happened if people not Stay Home,
Physical Distancing. They forecast the worse situation like in US, Dr. Facci,
White Home project could have 100K -> 200K people
died. In Ontario Public Health Ontario President Dr. Donnelly in
April,3,2020 forecast model that COVID-19 could
last 2 years, 100,000 people
could die just in Ontario if not stay home, social distancing. He said: - "Over
the full course of this pandemic, which may last for 18 months or even two
years... had we done nothing, Ontario may have suffered 100,000 deaths".
So let's overview:
Forecasting Data Modeling VS. Data Modeling.
Used by Data & Computer Scientists.
All is about Data
Projection Data Forecasting Modeling -> See
far.
Data and Computer Scientist
used Projection Forecasting Modeling to forecast, projection of Data ->
Then Code, Program, Game Theory, Build
Software Analytics to analyse based on mathematic formula by coding, and
input data in order to project Data. Human can't hand calculate alot of
Data, must be computer software program calculates when input a lot of
input data, read data from various sources. Not talking, guessing Data -> So that for Game
Theory, Planning different situation, Good, Bad,
and Worse situation, and for people
taking the problem seriously.
-> How much is accuracy
Projection Data Forecasting Modeling?
Some models could be accuracy 90% if conditions are met. Good for
Decision Making because can
see Data in advanced happening in different scenarios in order to
prepare, planning, rather blind,
see nothing. - Not scare people.
Some people disagree, exaggeration, but take it seriously.
For example,
Sales Forecasting Software System
can predict, forecast, project Data accuracy how many T-shirts sales
next Quarter, next Month, next Year, based on current Input Data, Historic
Data past sales, Business Rules. But if weather not good, COVID-19 happened,
then of course this forecast, data projection will not meet.
One of application is called "
Data Warehousing "
Data Warehousing
is the process of constructing and using a data warehouse. A
data warehouse is constructed by integrating data from
multiple heterogeneous sources that support analytical reporting,
structured and/or ad hoc queries, Data projection,
Forecasting, and Decision
making. Data warehousing involves data cleaning, data
integration, and data consolidations.
For example, If
taking seriously, having Projection Data, Forecasting Models from the
beginning in January when COVID-19 just starting in Wuhan -> Then other
countries like US, Italy, Spain, France would take it
seriously early, and thus reduced damages.
People just talk about Models
after already outbreak in Mid-March. ->
Countries should have run Models in January when just
COVID-19 started.
-
Game Theory
click here.
All about Making Choices and Decisions
Game
Theory
to demonstrate that, involving both Psychology,
Human Emotion and Choice
->
Human
Emotional Intelligence VS. Data Intelligence.
Game Theory also explains why:
Give Back More -> Gain More.
Forecasting Data Modeling Data has few Techniques, let's exam 3
popular Techniques:
1)-> Qualitative Techniques: -
Usually we get advice from trusted friends, employees, close relatives. Who
we trust, closed. We also rely on our own
experience. But, Qualitative Technique
used Expert opinion like Data Scientist,
Computer Scientist, Professor, Doctor, Researcher .., for
example, and information about special events of the kind already mentioned,
happening, and may or may not take the past into consideration.
Expert opinion is a Panel of diverse
Scientist.
- Quantitative
Technique uses these Methods:
A) Delphi Method: - A Panel of Experts, Data,
Computer Scientist, Professor, Doctor, Researcher,
investigates a sequence of questions by asking. Then get their opinions.
B) Use Market Research Method: - From
several Experts, Researchers to research the problem and give solution.
C) Panel Consensus Method: - The
technique based on Assumption of several Expert opinions, which can help
arrive a better forecast, better than just one person's opinion.
2)-> Time Series Analysis and Projection:
On the other hand, focuses entirely on patterns and
pattern changes, and thus relies entirely on
*Historical Data*.
=> Most mathematical formula on
Theory, on blackboard, on paper, are short program,
easy translate into program by
Computer Scientist.
An Analytic Software
for
Analyzing, Forecasting, Modeling Data
based on Mathematic Formula
accuracy for Models and Modeling, not mouth guessing Data as people think,
had built in hundreds
of mathematic Formula. Data are fed from Database (DBMS) and Read &
Populate Data into into Array. -> Then Calculate, Project Data
for Models. ->Then Graph. Some Methods used by
Time Series Analysis and Projection
are:
|
 Input Data: X[] = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10} W[] = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10} weighted mean = (W[0] * X[0] + W[1] * X[1] + W[2] * X[2] + . . . + W[n-1] * X[n-1]) / (W[0] + W[1] + W[2] + . . . + W[n-1]) = (1 * 1 + 2 * 2 + 3 * 3 + . . . + 10 * 10) / (1 + 2 + 3 + . . . + 10) = 385 / 55 = 7 Output : 7 Input Data: X[] = {3, 4, 5, 6, 7} W[] = {4, 5, 6, 7, 8} weighted mean = (W[0] * X[0] + W[1] * X[1] + W[2] * X[2] + . . . + W[n-1] * X[n-1]) / (W[0] + W[1] + W[2] + . . . + W[n-1]) = (3 * 4 + 4 * 5 + 5 * 6 + 6 * 7 + 7 * 8) / (4 + 5 + 6 + 7 + 8) = 160 / 30 = 5.33333 Output : 5.33333 ----- Program Weighted Average using Java. Not difficult --- class WeightedAverage { static float weightedMean(int X[], int W[], int n) { int sum = 0, numWeight = 0; for (int i = 0; i < n; i++) { numWeight = numWeight + X[i] * W[i]; sum = sum + W[i]; } return (float)(numWeight) / sum; } public static void main(String args[]) { // Take num array int X[] = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}; int W[] = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}; . int n = X.length; int m = W.length; if (n == m) System.out.println (weightedMean(X, W, n)); else System.out.println ("-1" ); } } Output = 7
|
For example, Research the History Data of Ave Home Price in Toronto
for the past 20 years, ups, downs, its changes, and patterns, thru good &
bad times, recession... -> Will help forecast future Ave Home Price.
History Data shows that in the past 20
y, * thru 2 x Recessions 2000, 2008, recently Housing
Cooling in 2017 * in 2000 Hi-tech, Dot.Com bubble, 2008 Financial
Crisis and Subprime Mortgage, Ave Home Price in Toronto always Ups, and
double 2x every 10 years. Ave Home Price in 1999
= 228,372$ ... ->
Then Hi-tech Dot.Com bubble 2000,
Stock Market crashed, recession, Ave Home Price in 2000 =
243,275 $, in 2001 = $251,508,
in 2003 = $293,067, 2005 = $335,907,
continue UP ... ->
Then Financial Crisis 2008,
Subprime Mortgage, Stock Crashed, Ave Price 2007 =
376,238 $, in 2008 = 379,347 $,
2009 = 395,260 $, in 2010 =
$ 431, 276...
continue UP ... -> Then
after 2008
recession, 2012 Ave = 497,130$,
2013 = 522,958$,
2015 Ave = 622,121$,
2016 Ave = 729,837$,
then big jump 30% from 2016 to in Spring 2017 in March, April, May =
917,000$
.
->
Then Housing Cooling
in 2017 = 822,737$ after big
jump, then cooling in 2018 =
787,856$,
then back to normal
in 2019 = 883,520$,
latest March
2020 = 989,218$.
Look at
Historic Price of Detached, Semi Detached,
in 1999, Ave Home Price = 228,372$, a
Semi Detached Home around 260,000$ ->
280,000$, a Detached around
320,000$ -> 340,000$. If invest
65,000$ for 25% in a Semi Home 20y
ago -> Today March 2020, Semi in Toronto =
1.208 millions, Return On
Investment around ROI = 1.2 millions,
because after 20y already paid of loan Mortgage =
260,000$ - 65,000$ = 195,000$
very small mortgage easily paid off
after 20y.
This ROI = 1.2 millions
same as Buy Detached Home, from in 20y
Investment 65,000$ for Deposit.
Conclusion:
What were you doing 20y ago?
-> Time is money. Go back 20y ago. ->
Invest 65,000$
(around 150,000$ today) 20y ago in 1998, in 99, 2000,
in Toronto to Buy Home either Semi or
Detached, your Return On Investment as March, 2020 same =
1.2 millions dollars.
A Scientist Professor does this experiment to test Human Intelligence
:"- Giving 65,000$ you have option to chooses Buy
Home either Semi Detached or Detach Home." -> 95% people
chooses to buy Detached home for more profits, willing to pay a high
Price. But Scientist,
who witness thru both Semi & Detached Home,
see Data both, found
not really. Both Same Profit.
Detached Home
means pay extra more Cost / every month, pay extra 10 years, cost
more = 5000$ / month / 12 mo x 10 year =
600,000$ extra.
NOTE:
If you have good money, good stable career,
then choose Detached. But believing that
Detached Home return more Profit than Semi is not True.
A Scientist Professor says: - Choose between
2 x Semi Detached Home = 2.4
millions better, more profit than 1 x Detached
= 1.48 millions. While
Property Tax of 2 x Semi Detached = 1 x Detached
Home.
Detached doesn't mean Up more than Semi.-
just recently March 2020, Semi Detached jumps
204,000$
from
1,004,208$ to
$1,208,073,
thus 2 x Semi ROI = 408,000$.
A Detached jumps = 122,000$
from 1,363,357$
->
$1,485,304.
A
person used to work in Factory says: - Working minimum
wage (20y ago = 5.50$ /hr, today = 14$ / hr = 2.5x increase) like
Factory Worker, Restaurant Server, Food Server,
Misc Worker .. 20 years ago, Income = 5.5$ / hr x 160 = 880$ /
month -> After Income Tax, Net Income =
748,0$. Then pay Rent 350$ =. Thus having
400$ for all
Living Expensive like Car, Gas, Car Insurance, Glossary, Phone, Restaurant, Drink
... The most you can have left is 100$ / mo
or 1200$ / year for
Saving,
if no Traveling. In 50y save =
1200 x 50 y = 60,000$ => Thus 20y ago, work
minimum wage takes 50 years to Save 65,000$. After 20y, Home
Price in Toronto in 2020 already up more than 4x to near 1 million already.
Hardly to afford a Home.
Too late.
Although Price of Detached more
than Semi, but you pay more Cost / month / in 20y for
more Cost of Mortgage Interest, Property Tax, other Misc Cost to
trade off for high Price Profit.
Human Nature is Greed,
focus on Gain 1.48 millions of Detached, but
ignore Lost that pay more Cost for
Detached.
Doing Data Projection Cost /
Profit Analyst, ROI of Semi is as same as
Detached = 1.2 millions after 20y.
Look at the
Price Difference after 20y as latest
March, 2020, Semi = 1,208,073$ - 260,000$ =
948,073$. While Detached =
1,485,304 $ - 320,000$ =
1,165,304$
-> Difference = 217,231$ after
20y. But the extra cost you pay for Detached in 20y a lot more than
217,231$.
NOTE:
A Scientist proved that if you used same amount
65,000$ to buy a Detached Home instead of Semi
20y ago, thus Deposit % less than Semi -> After 20y still
around ROI = 1.2 millions
same as ROI as Semi,
because Home Ownership, % Deposit
less than if Buy Semi. You pay more each month for 20y for
Property Tax, high Mortgage Interest, high Cost of
Maintenance for Detached. ->
Use Time Series Analysis and
Projection, we can prove from Projection of Data.
For example, because Buy Semi, thus less Mortgage
Interest, more % Deposit -> Faster 5 years pay off than Buy Detached with
high Mortgage, less % Deposit. Giving your monthly cost for Detached Home of
Mortgage + Property Tax + other Mis Cost = 5000$ => Thus
pay extra more than 5 years = 5000$ x 12
x 5y = 300,000$ cost more
than Buy Semi pay off faster than 5year. Therefore,
from Data Projection, we prove that ROI of Detached Home and Semi
Detached is the
same = 1.2 millions dollars
after 20y.
NOTE:
Time Series Analysis and Projection:
tells you that in the past 20y, despite thru 2 Recessions, 1 Housing
Cooling, Home Price in Toronto always UP, and Double 2x in every 10 years.
In the past 20y, all kinds of Analysts, Financial Advisors, Online News
scare people, said:-
Toronto Housing will down, crashed.
Specially "When Crisis"
during Financial Crisis 2008, Housing Cooling 2017 alot people scare selling
their home. They listening to scary news mouth tongue Data,
straight from mouth. No mention Data
-> But Data tells not only nothing
happened, but also ...Home Price Ups. No worried.
All is about Data.
3)-> Causal Models: -
Uses highly refined and specific information about
relationships between system elements, and is powerful
enough to take special events formally into account. As with time series
analysis and projection techniques, the past is important to causal models.
Casual Models uses Data Relationships, Data Correlations from different
events. The challenge is How to find Data Relationship, Correlation
accuracy.
For example, Toronto Home Price is related to
Interest Rate, Immigrant, Inflation, Gov Policy like Stress Test, Home
Supply ... Which involves identifying these
Data Relationships, Data Correlations of
these elements of event. -> Then generate the
forecasts Modeling of Ave Home Price Toronto.
-> There is a Data Relationship, Correlation between Interest Rate and Home
Price, Immigrants & Home Price ...
- For example, in 90s vey high Interest Rate 8% -> 6%. Then 2000
recession Interest Rate slowly down from around 6% to
1.75% in Dec, 2019 = Down 3.4x approximately. Same period of 20y
1998-1999 -> 2019, Data Correlation with Home Price ups 4x, in
1999 Ave =
228,372$ -> Ave Price Dec, 2019 = $884,385 = Double 4x approximately.
NOTE: Not necessary exact Data
Relationship, Correlation ratio = 4x, but give a view that when Interest
Down trend -> Home Price up trend.
Interest Rate in last 20y:
- Interest Rate very high Feb, 1991 = 16%,
late 90s from 8% -> 6%, 5.75% then slowly Down
starting in 2000 recession to recession 2008 Interest Rate
0.75% -> April, 2009 = 0.25% record low.
Then slowly up to Dec, 2019 = 1.75%. Now, as
March 2020, because of COVID-19 down from 1.75%
to Interest Rate = 0.25% record low
in few months.
=> Which methodology above has been
used Data Projection Forecasting Model in COVID-19?
-
PM Canada Justine Trudeau already answered this question on regular
update morning April, 07, 2020 at 11 am.
=> There are few other powerful
Techniques used by Data & Computer Scientists sorry, too long, can't
describe here.
Data Modeling
Data Modeling: -
Is the process of creating a Data Model for the data
to be stored in a Database.
This data model is a conceptual representation of Data objects, the
associations between different Data Objects (Customer, Product, Order, Order
Detail ...) and the Rules (Business Rules, Logics ...).
For example, Data Modeling: - Build a Database Management System (DBMS) that
has Data Collection of Customers, Orders,
Order Details, Products, Supplies ... Techniques are CANDO =
Collect Data, Analyze Data, Normalize Data, Design
Data, Organised Data.
Data Modeling is true Data Collected for Database, Tables Design.
Data Modeling requires understand Data Relationship, 3 of them:
One-to-One, One-to-Many, Many-to-Many.
- The Data
Relationship between Customer and Order is
One-to-Many.
- The Data
Relationship between Order and Product is
Many-to-Many. We can’t represent a Many-to-Many
relationship directly in a database relation scheme. Many-to-Many database
relationship is not acceptable.
** WARNING ** If not resolve
Many-to-Many Relationship
Database will cause data errors, duplication,
corruption, lost data integrity, even lost data. Ask
your Developer if they know or Not. And
How to Resolve this Many-to-Many
Relationship? -> A Scientist Professor said.
Data Modeling has
3 Types of Data Model.
1) Conceptual Data Models:
(CDM)
High-level, static business structures and concepts. This Data Model defines
WHAT the system contains. This model
is typically created by Business stakeholders and Data Architects. The
purpose is to organize, scope and define business concepts and rules.
2) Logical Data Models (LDM): Entity
types, data attributes and relationships between entities. Defines
HOW the system should be implemented
regardless of the DBMS. This model is typically created by Data Architects
and Business Analysts. The purpose is to developed technical map of rules
and data structures.
3) Physical Data Models (PDM): The
internal schema database design. This Data Model describes
HOW the system will be implemented
using a specific DBMS system. This model is typically created by DBA and
developers. The purpose is actual implementation of the database. Table:
(Customer)
Users: 1 -> 
Orders (infinitive symbol) is: 1 - to - Many
Relationship ( most popular relationship in Data Modeling )
For example: This is
Physical Data Models of
Business Order Management System
Update March 2020
Quick update:
-Toronto Home Report released in March 5, 2020 for Feb, 2020 last month.
Important News March, 2020
->
We declare Toronto Home Price
now is equal to Vancouver Home Price based on latest Data.
For the first time all Categories,
Detached Home, Semi Detached, Town home, Condos in Toronto now is
equal or surpass Vancouver.
- World Cities in Top 10 Ave
Home Price
in 2019:
Vancouver rank #4 in Global Average Home Price of Cities in the
World in 2019 latest Data in Top 10: 1) Hong
Kong, 2) Singapore, 3) Shanghais 4) Vancouver 5) Shenzhen 6) Los
Angeles 7) New York 8) London 9) Beijing 10) Paris -
Canada has 2 Cities 4) Vancouver, 4)
Toronto now in Top 10 Cities most Ave Home Price in the
world.
- Other Cities in Top 50:
There thousands of cities in the world. In top 50 in the
world from other countries: Australia: Sydney
#13, Melbourne #15, Ireland Capital
Dublin #16., United Arab Emirates (UAE)
Dubai #18, Saudi Arabia Jeddah #14,
Saudi Arabia Capital Riyadh #17,
Spain Barcelona #21,
Thai land Bangkok #33, Malaysia
Kula Lumpur #32, Soviet
Moscow #23, Italy
Rome #22, .
NOTE: Toronto,
Sydney, Melbourne used to be in Top 10. But these cities
were pushed out out of Top 10 List, because "..suffering from
increasingly Affordability constraints
", according to the "Research Report". Which is "
giving European
Cities
in Top 10.
" like London, Paris.
Now, Toronto comes back in top 10, but not Sydney, Melbourne.
Latest Data in March 2020,
Toronto has bounced back to # 4 or #5 before
Shenzhen #5 in 2019.
->
According to a Scientist, who is CS Professor, and has done
Research Scientist for big 5 Canadian
Bank . According to him,
Data has cause, relationship, correlation with other Data.
For example, Scientist can prove that when
Home Price high -> Rent high as well. Data also have
3 x Relationship:
1-to-1, 1-to-Many and
Many -to-Many. Data Relationship between
Student
-> Student ID
= 1-to-One Relationship, because A Student Dave
has one and only 1 Student ID and VS. That Student ID #2156 belongs
to only one Student Dave.
The Data Relationship between Customer
-> Invoice = 1-to-Many
Relationship, because Dave can buy 1 or more
Invoices, such as, Invoice 123, Invoice 317, Invoice 219. And
an Invoice ID#123 is bought, belong to one and only one Customer,
Dave. All is about Scientific Data, honesty,
not biased,
not from Mouth Data.
What is difference between
Scientific Data and Mouth Tongue Data?
Since Toronto Home Price goes up, we have seen
all kinds of mouth tongue price. Scientific Data comes directly from
Research of big International
Financial Organization, Government Agency
released Data. Mouth, Tongue Data comes from people, who just said,
direct from mouth, tongue, not official,
not scientific research. Thus easy exaggerated from mouth to
mouth. Anyone can say anything.
For example, a person said direct from mouth: -
This area, home is worth 1.5 millions.
This person Picks up a few very high Home Price at some high end
Location, such as, Downtown. Or this Home
Price is not proven because hear from other people said so.
When you ask them where that data came
from? -> Almost of them
said they hear from local people, someone, friends, relatives said. And next mouth could
exaggerate Price, so on...
This Price doesn't reflect a whole area, a city.
1) WHY such a jump and
Corona virus has no impact on Toronto Home Price & Home Sales, but
even push higher?
->
Because from now on and maybe
for a while, Interest
begins going down significantly a lot to deal with virus affecting
economy, not only in US, Canada. but whole world, this month
down - 0.5 point, used to be
up 0.25. Never seen such Interest Cut such low since Financial
Crisis 2008. Forecast it will continue go down more even to 0 or
Interest negative like Japan. It helps reduce the stress of Stress
Test. This is good
time for Buy Home for Home Buyers and Home Owners.
A person said: - Thank you
for your Blog boosting me more Confidence and Knowledge on Toronto
Home Market. Toronto is not Vancouver. It is Center of Financial
Hub and Manufacture Hub of Canada. While all kinds of negative
news because of virus, all kinds of sectors down, stock market down,
but at least one good news from Toronto Home Market boosting
my Confidence, and Consumer Confidence in general.
2) Of course, no
matter Rich or Poor, Home ups or downs, Home or no Home, every one
still needs to make ends meet, pay bills.
**
What Did You Do 20y ago? **
Take at least 20y Buy
Home in Toronto + high Deposit at least 30% to be Rich
Since 1999 when Toronto Home so cheap? Did
they work low wage in Factory, Restaurant, Server, Engineer...? Go
back 20y. Take 20y be rich.
Case Study:
- A friend of mine, Professor H.,
who started career as Professor in 2006, just
Bought Home in 2016, with 20% Deposit = 200,000 $ for
a
Million Dollard Home. So far, only 3 years Home ownership..
Then still Bank's Home.
Why? - Because
take
him 10y Saving
200K to
Buy A Millions Dollars Toronto Home in 2016 by Prof high salary. So
Buy Home
only 3y in 2020 not much
ownership, only around
25% ownership
(Already 20% Deposit.
Most monthly Mortgage Payment paid for interest, only small paid
for Principal. Stress Test required
20% Deposit start in 2018). Home Toronto already
double in 2016 compared to
2006, Ave =
356,941$, very high
double
2016, Ave = 730,000K.
Thus Buy Home very high price.
Take Professor H. for
10 years, started career in 2006 -> 2016 Buy A Million Dollars Home
with 20% Deposit = 200K. Take Professor H. 10y to Save 200K. Now
only 25% Ownership. => What if a Factory, Engineer,
Teacher ... compared to Case Study of Professor H.
=>
While Professor David, started
career in 1998, 50$ / hr, 96,000$ / y (
NOTE: 96K
in 1998 in today money 2020 = 2.5x , 3 x =
250K -> 300K.
In 1998, mini wage = 5.50 /hr -> in 2020 = 14$ /hr = 2.6x.
Since 20y, Home Price in Toronto has increased
4x. Big Mac, Rent ... has increased 3 x.
By Inflation,
Money decreased Value over time -> Thus, Home increased value.
From a Professor. ).
Prof. David
Buy Home 30% Deposit
within a year, when
Ave Home Price = 219,000$
-> To be rich go back 20y when home so cheap.
From
Case Study
Prof H. started career in 2006, buy
A million dollar Detached Home in Toronto
in 2016 with 20%
Deposit = 200K. Today 2020, Prof H. 's Total Asset = 25% ownership =
250,000$
+ His Home Price
in 3y
has up 150,000$,
in 2016 Ave =
729,837$
-> Ave in
2019
= 883,520$
(Good Return only in Toronto).
Thus, since started
Professor career in 2006 to now, Prof H, Total Asset =
400,000$
(Prof H. still have 50K student
debt, although paid off alot.)
. And Prof D. in 1998, when Ave Home Price =
216,815$. Then Apply
in "real
talk" -> Who were you when started
career in 2006? - Student, Factory, Server, Office Worker, Engineer,
Teacher, Scientist, Professor..?
Back 20y, it
doesn't matter what kind of Home, Detached, Semi Detached. If you
started your career 20y ago as Factory, Engineer, Teacher, you will have
less asset than a Professor started career same 20y ago, like Prof.
D.
Because Professor D. can buy Home with
high Deposit, or multi Homes same year. Not waiting 10y for Saving.
Look at Salary of Prof D. =
50$ / h or 96K / y
from 20y ago, in today money =
250K / y, and do grad 5 math.
After 20y, Professor can buy 4 x new
Detached Home, each 1.3 millions with 20% Deposit each.
People are greedy. They
spend 270,000$ for 20% Deposit to buy a
Detached 1.35 millions. Then they think
they own 1.35 millions. How smart is it? They ignore
over 1 millions dollar in debt.
It took 10y for Professor H. to save 200K
from started career in 2006 -> Buy Home in 2016, when ave Home Price
already double Ave 2016 =
730,000$.
How long does it take you to save
200k in order to Buy A million dollar Home in Toronto with 20%
Deposit ?
=>
What if you are not Professor, Salary
less than Professor ? You are late to Buy Home few years
later than 2016, because not enough Saving. -> In 2017, where Ave
Toronto Home Price even higher Ave 2017 =
822,727$. -> In 2018,
Stress Test (OMG. No hope)
took effect make is even harder to Buy Home than in 2017?
-> Just late than 1 year Buy Home in 2017,
even high Salary
like Prof H may lost opportunity Can't Buy
Home, or Buy Home with small Deposit =
10% not 20%
->
While Prof D. most advantaged,
started career early as Prof in 1998, when Ave Home 1998 =
216,815$.
With his salary = 50$ / hr in 1998
equal to 250K /y today money, He can
buy home high Deposit or
multi Homes in 1 year.
Data helps people see far, Problems Solving easy. All
Data is given so people can see & verify.
Much, much, much better than no Data ->
"Real Talk"
A woman said:-
My man said
he has a millions dollar Home (Rent Home).
He didn't had LinkedIn ( a flag, not a Professional ).
He is not a Professional, and not live in
Toronto. Now I learn a lot from this Blog that Home is the
most important make a big difference between
Something and Nothing. I can analyze Data, such
as, Location, Deposit, Ownership, Ave Home
Price, Total Asset, Need working at least 20y to be Rich, No Home is
Nothing, 100K Ave, because 49% Canadian, Japanese, 60% US, 62%
S.Korea adults no 100K. Thanks.
-> Because even Professor H. such high salary still nearly missed
to Buy A Million Dollar Home
in Toronto.
"Real Talk"
| Update: March 6,
2020 To get rich, Ask " 1) What were you doing 20y ago? 2) How much was your salary 20y ago? 3) Where did you live 20y ago? " - Because take 20y working hard, save 50K / year to be rich - Because 20y ago, A million dollar Toronto Home was so cheap. - Because doesn't matter what type of Home, take 20y Home Ownership. Take 20 y to be rich. Of course, no matter Rich or Poor, Home ups or downs, Home or no Home, every one still needs to make ends meet, pay bills. HOW? Ask :- What did you do in last 20y in order to save 50,000$ / year continuously in 20y? -> Just ask this simple question and use grade 5 math. Save 50K / year, live in US, Canada no easy, unless you are Professor with salary over 100K / y 20y ago. What if 20y ago, you were in school, or worked as Engineer, Teacher, or minimum wage Server, Factory? Easy. Use grade 5 math. Learn many Case Study here. You can know accuracy Wealth of your partners, your friends. Have
Home + Car, but Total Asset =
55,000$
A person said:
-
"I have a Home 1/2 millions, and a car."
- Big cheese. -Then show photos of very nice 1/2 million dollars
home, car. His asset in
home actually only 50,000$
because bought Home few years ago with 10%
deposit. Must work at least 30y more.
But still better than Rent Home
+ Used car = 5000$.
Total Asset = 55,000$.
->
This Case Study can find anywhere in
Canada, in US, in the world.
See Ave Home Price in US in 50 states in 2019
from Business Insider. All is about
DATA. A Scientist Professor says: - When says ".. I have Home, Car ..." This is not Data because Home, Car is object, abstract, imagination. Need be measured. -> Seems like all Homes are equal. A million dollar Home same as 100K Home. Thus easy exaggerate or mislead people. We should use Total Asset to measure Home, Car. Total Asset is Data because it is measured. Each Home Value is different Price depends on: 1) Where City, Town? Location, Location, not big or small home 2) How Much % Deposit 5%. 10%, 20%, 30% Pay Off Home fast .. More Deposit faster Pay off Home like Deposit at least 30% -> Pay off 20y. Deposit 10% -> 30 year. But longer saving if not high salary like Prof. Example if buy 500,000$ Home, deposit 100,000$ for 20% take 15 years saving. Then deposit 10% = 50000$ take only 8 year saving. Most people deposit 10% because small salary. Can't wait 15y because Home Price will up 3) Home Ownership = How long Own Home -> Pay off Home 30y different with Pay off Home 20y is = If mortgage + property tax = 5000$ / month x 12 mo x 10y = 600,000$ pay extra than Semi Detached Home paid off 20y -> Choose Semi Detach pay off Home in 20y by increase Deposit at least 30%, faster than Detached home expensive take 25y, 30y paid off. -> Thus add on 5y = 300,000$ extra, 10y = 600,000$ extra. After 20y can always upgrade from Semi -> Detached or buy another Semi. 4) Type of Property = Detached, Semi, Town home 5) Renovation could increase Home Price 50K -> 80K So when a person said:- I have home. You need to ask:- 1) What is Ave Home Price of Location, Location. Toronto different with Montreal. 2) When Buy Home how much is Deposit? 3) Home Owner Ship? How many years already paid into mortgage? 4) What Type of Home? 5) Home Renovation. -> All of this make up the value, price of a Home. Do not rush into talking. This apply same in Business. -> Which helps make good decision and problems solving. A Computer Scientist Professor, who is teaching " Data Analyst, Design, Implementation, and Management " in College for Computer Science Students, has done this test to demonstrate the important of using Data in Making Decision & Problem Solving. He gave students college level A Case Study. A owns A Semi detached Home for 20y, bought at least 30% Deposit. B owns a brand new 1.5 millions Detached Home. Now in market as of March 2020, Detached home worth 1.48 millions, Semi Detached worth 1.2 millions. He asked "- Which one is richer, has home most value?" -> 95% of Computer Science Students at College level said: "- B has new Detached Home most valued 1,48 millions, richer " Professor laughing said: " - A is more richer than B. A could buy 4 x Detached Home 1.48 millions like B, but with at least 20% Deposit, not 10%. ". Students ignored Deposit and Ownership, rush into making decision not good, not accuracy, not see far -> Thus apply in Business, Business Development, in Investment, Stock Market, in Software Design ... could lead to failure. As you see, today most people are making decision, problem solving no good, because do not use Data Intelligence most used by Scientist. Spend 270,000$ for 20% Deposit to buy a new 1.35 millions dollar Home. Then claim I own 1.35 millions, ignore 1.1 millions in debt. This is too much greedy, too much exaggeration over 1 millions, not honesty, blah blah grade 5. Allow 20y work hard & reward pay off whatever Home -> This called Work hard & Reward for 20y working hard. => That's why need Data in fairness, honesty, no biases, good faith.
NOTE: Work hard & Reward.
Not jealous rather an example of encouragement. Millions of
people live in Toronto come from all kinds of backgrounds,
nationalities, from small towns, different cites, who started = 0,
faced challenging, obstacles, biases, in order to make
big dream in big City.
Wealth Asset of Middle Class
American |
 - Started Life = 0 alone, no support in Toronto at 18. I grow up in Toronto. From no Degree, Poor, Factory to Canadian Scientist Professor Millionaire. One quick advice: - To be successful in big City like Toronto -> Use your brain. Started career as Professor 20y ago, in Middle Class Toronto 20y ago. From Factory 5.50$ / hr to Professor salary 50$ / hr, 96,000$/ y 20y ago, today equal to 250,000$ / y. Minimum wage in 1998 = 5.5$, today 14$ = 2.5x. Teacher = 12$ / hr, Software Engineer 13$ / hr, Mc Donald Big Mac 20y ago around 2.0$, now 6$. -> So by Inflation, Home Price gains value over time up too. - With this high salary, Professor could do anything. Buy Home with high Deposit, Multi Homes - Today, Home in Toronto A million dollars Home. Middle class Home Owners in Toronto wants to become millionaire. Big dream. Why not? Congrat ! -> But, allow 20 years Work hard & Reward Home Ownership. Be patient. Don't be greedy. Home like Stock long term, don't Buy/ Sell Home too soon after 10y, 15y. Keep at least 20y. I still continue working hard next 20y. - Advice: Jump out of comfort zone: - In any country in the world, people like you, whatever background, as a good citizen, Contribute to society, Work hard & Reward & Get Rich. To get rich, like a frog jumps out small well, sees big sky -> Just leave small town move to big City like Toronto, 9.5 millions population, (of course Toronto includes GTA is its Districts like other big City, while New York City and its Districts around 8.4 millions population, Tokyo 9.2 mil population, Paris 2.1m, Berlin 3.8 mil, London 8.9 mil, Shanghai 24.3 mil. By population Canada only 37.8 millions, Toronto is biggest city in the world ). Toronto where 260,000 millionaires, more than 1/2 Canadian Millionaires live. In big city Started Life = 0, no family support, not easy, but Reward Big. -> I, no privilege, did it. You will OK. There are always ups/ downs like coast rider. Try your best. Real Talk.  How to Get Rich
= Buy Home, Do Business,
or combined:
Work + Buy Home + Do Business:
- Working for company helps you make end meets, pay for Living Expensive. Hard to Get Rich. -> 50K salary, after Income Tax + Rent = 65% of Income. Then 35% for Living Expensive like Car, Car Loan, Car Insurance, Gas, Grocery, Shopping, Restaurant, Drink, misc Spending, Phone, Internet, Beauty, Cloths, Travel, On / Off Job, Lost Job... 50K salary / year take you 30 years saving 200,000$. Not enough Deposit 20% for a Home in Toronto. => A friend of mine who is full-time Professor, salary around 200K, stated career in 2005. Just bought A million dollars Home in Toronto in 2017, just 3 years ago, after 12 years working, saving 200,000$ for 20% Deposit Home in Toronto. How long does take Buy Home in Toronto with 20% Deposit if not Professor? => In new normal COVID-19, can't depend on Government, on Company for long time. During COVID-19 companies lost profit nearly 90%. Take a while for them recovery. Even Government is not sure if it can continue supporting relief benefit package. GDP hit hard few times more than Financial Crisis 2008 just few months COVID-19. The Relief Package only half way, but Gov Message out " - Back to work " -> Advanced notice for you prepare, before Relief Benefit runs out. -> To get rich you need Buy Home or Do Business, combined: Work + Buy Home + Do Business. - Buy Home take 20 years, but less risk because you have no choice either pay for Mortgage or pay for Rent. But need Buy Home right Location like Toronto. -> In the last 20y, Buy Home Detached or Semi in Toronto returns on average 50K / year equal to salary of 65K / years. - Do Business a lot of risk, but can help you get rich.
=>
A sample of
Prof David, click
Cheque in
1998,
50$ /h, 96,000$ / year
equal to
250K /y today
|
NOTE: In 2016, Ave Home Price 730,000$ includes all
properties: Detached, Semi, Town home, Condos. Thus Ave just Home
Detached & Semi, would be higher. For example, Ave Home in Toronto
is 883,520$ in Dec, 2019, but Ave Detached, = 1.35 millions, and Semi Home = 1.1
millions.
=>
Analyze
in Feb:
When analyze you need to provide Data
as much as possible. Don't
use your mouth, people mouth.
Data helps measurement. Without
Data, you can't Measure -> Can't measure then Can't See, Can't
Value. -> Can't see, can't value -> Make decision no good. Lack of
Ability, Capacity. Lack of Vision.
Blind. See near, see good as same as bad.
Biases.
=>
- Could you forecast next 10 y
Toronto Home Price ? Will analyze ROI
(Return On Investment).
=>
Yes, use data last 20y. Soon.
=>
- Put 200,000$ in Stock Market or in
Toronto Home Market? Will analyze ROI
(Return On Investment).
=>
- Upgrade from Semi Detached Home to
Detached Home or Buy another Semi Home? Which one more values, more
benefits, less Cost, less Risk, economically make sense, and
Richer?
=>
- In 20y, minimum wage, and all kind
of salary had increased significantly more than double. Example,
minimum wage has increased 2.6x from in 1998 = 5.5$ -> 14$ / hr in
2018. Do you think Buy Home today is easier than 20y ago? Prove used
Data.
- Can't prove
by saying that:- Home in Toronto very
expensive, Ave = a million dollar Home. -> Not see far,
not good, not enough Data. Can't make good decision. But, at
least you give 1 x Data
Ave Home in Toronto = a million dollar Home. Still better than
people direct blah blah from mouth Grade 5,
not any Data. Example, Some people said: -
" Condos in Toronto worth 1
million dollar. Or, Home in Toronto very expensive worth 2m, 3m
dollars. Or, my friend home just
bought 1.5 m in that area. Or, I see a Home 2 m for Sales in
that area." - Yes it is true that there are a lot
million dollar condos in Toronto, there are Home in Toronto worth
expensive multi million dollars. But no good Data,
not scientifically, fake Data, exacerbation, lack of education.
This is biased
because you just pick up small quantity of expensive million dollars
condos, expensive multi million dollars Homes in
some areas, some streets. some people to present all
properties in Toronto. People said this,
their Ability & Analytics = Grade 5, don't know
anything, exacerbation, fake data.
-> How? -> Need to
Take
Average of all Properties =
883,520$, of
Average of each type of Property, like Ave Detached =
1.35 m,
Ave Semi = 1.1m,
Ave Condos = $663,894
... in every streets, remote areas, all Districts, Municipalities,
small Towns in City, like Real Estate Industry of Toronto.
No exaggeration.
-> Said a Data & Computer Science Professor
-
Currently, Both Detached & Semi Home
Toronto Ave =
A Millions Dollars Home.
- In Dec 2019, Ave Detached Home Price
= $1,318,953 Year-to-Date. And Semi-Detached
Home Price = $1,044,675 millions Year-to-Date.
And Ave Home Price in
Toronto = $883,520 Year-to-Date.
NOTE: About Data
Collection. Usually, every month you get monthly Data
compared to same months of last year, called:
Month-to-Date Data
from report every month. OK
accuracy, reflection month by month Ups / Downs.
The most important Data is
Year-to-Date Data, which
is summarised, calculated for A
Whole Calendar Year of Home Price for that year.
Most accuracy.
Update January 2020:
New Home Price in Toronto, and GTA already
out in January, 2020 for December, 2019.
Stress Test Caution
according to CEO Royal Bank. Read this
article about the Housing Market View of CEO Royal Bank,
one of the biggest bank in Canada. According to him, "-
Stress Test has decreased the Demand for Housing Market, caused
looming and rankled for Real Estate Industry ". Stress
Test caused less Demand on high price Property like Detached Home.
Consumers will buy more on less Home Price Property. But he admitted
that Stress Test is good policy when Interest low. He also admitted
that bigger challenges for Housing Market not in Demand side but in
Supply side. Canada continues attracts an increased number of
immigrants.
Translate stress test into real Home Buyer. The stress
test means that, a borrower with 20 per cent down payment
or Deposit 20% = 120,000$, and an
income of $100,000 a year, even like
salary of Professor, could qualify to buy a house worth about
$597,000,
while ave Detached Hone = 1,35
millions. Harder to qualify
Buy Home. As
we said, not easy Buy Home in Toronto.
If you could not Buy Home 10y ago, you will never Buy Home
now in Toronto.
WHO can afford Buy Home in
Toronto? - Millionaires, Rich Middle Class, High Salary
over 100K, like Professor, combined 2 x Income of 65K, Rich Economic
Immigrants account for 60% of all Immigrants in Canada.
During Toronto Housing peak & cooling in
2017, a lot Home Owners either cash-out profit or selling their
home, now, very difficult for them to Buy Home.
https://www.msn.com/en-ca/money/real-estate/ceo-of-canadas-biggest-bank-calls-for-caution-as-ottawa-considers-adjusting-mortgage-stress-test/ar-BBYI2wo?ocid=spartanntp
The
Return of Detached or Semi Detached is the same after 20y Buy Home.
See prove below.
Where Canadian Millionaires live in Canada, and How Many of them?
Latest Update:
Jan, 2020 The Star is number #1 News Paper and Media in Toronto. Data from The Star in 2012 validates about Data in 2018, we show Canada has 505,000 millionaires. => With 505,010 millionaires Canada rank #2 of millionaires By Population in the world after US  What does it mean as
millionaires?
Scientist track
4 Professionals, started life = 0 for 20y in 1999.
(update 23/1)
- Dan
Professor,
in Toronto,
Buy Home early
in 1999 or 2000 with
high Deposit,
already own Home ownership
= 20y.
His
Wealth increased to
2 millions. Because started career early high paid job
as Professor, 4x times higher than Engineer,
Teacher. Which allows Dave Buy
Multi-Homes, and
Buy Home early + high Deposit.
|
Data in 2018,
Canada has
505,000
millionaires, an increase
83,000 millionaires since 2012 -> 2018, near 20% in 6 year
or 3.3% / y. Put Canada
rank #2 of millionaires By Population in the world.
From 2012 -> 2018 = 422,000 -> 505,010 of millionaires
= 20% of Growth. Ontario, Toronto
gets half of increase = 10%, thus from 2012 = 47% ->
57% of all
Canadian millionaires population, because Home Price has big
increase 370,000$ from 2012 ->
2018 in 6 year. And 1/2 Growth of 20%
in 6 years = 10% Growth for the rest Canada.
Quebec, Montreal increase =
2%, thus from 2012 -> 2018 = 19% + 2 % =
21%. Already,
Both = 78%
of all Millionaires population Canada.
The rest of Canada =
22% What about Canadian Millionaires Population if Toronto Home Price did not increase? -> Toronto is not Vancouver. It is Toronto that hat increased the big number of Canadian millionaires population. Toronto is big difference with Vancouver. It is the biggest City of Canada, large population 9.5 mil, Headquarters of large Corporations, Head Offices of biggest Banks, Stock Market, the Center of Financial Hub, and Manufacture Hub of Canada. To stimulus the Demand of Housing outside Toronto, Vancouver, Government of Canada has policy already in effect since Sep, 2019 to support Home Buyer by financing 10% for home under 800,000$, free Interest Loan. As a result, we see recently, Home Price goes up across Canada. For example, Ottawa up 11.5%, Montreal up 9%, Kitchener-Waterloo up 15% ... NOTE: From 1998-1999 -> 2012, Ave Toronto Home Price more than double from 219,000$ -> $497,130, an increase = 278,130$ in Toronto. Which puts 100,000 extra millionaires on the list. From 2012 -> 2018, Ave Toronto Home Price near double from $497,130 -> 870,000, an increase = 373,000$. Which puts 83,000 extra millionaires on the list. "- One of the assumptions behind the increase in the number of millionaires is that Canadians' housing wealth will continue to rise — no collapse in that market " said Jim Davies, an author of the study and Economics Professor at Western University. Ontario, Toronto from 2012 = 47% -> 57% in 2018 an increase 10% (even more) = 287,900 of all Canadian millionaires population, because Toronto Housing booming Home Price up near double, because a huge increase in Home Price from 2012 -> 2018 = 373,000$ only in Toronto, not seen in other places out side Toronto like Quebec, Ottawa, Vancouver, the rest of Canada ...And even the World. The more far away from Toronto, like GTA, Districts around Toronto, Home Price is reduced significantly few hundreds of thousands dollars. Quebec, Montreal, 8.5 million population, only French speaking province, in 2012 = 19% -> 21% a 6 year increase 2% in 2018 = 106,052 of all Millionaires population Canada. Although Home Price does not much increase around Ave Home Price in Montreal = 380,000$. But Quebec Millionaires, Upper Class have been rich, Wealth accumulated over 256 years in many Generations since 1763 established of Province Quebec. Came from rich France Immigrants. Already, Both Ontario, its city Toronto + Quebec, its city Montreal = 78% of all Millionaires population Canada. => Hardly to distribute 22% of millionaires population to the rest of Canada. So we look for places where will create millionaires, which is big City, Capital, rich Location. - Estimated, Capital of Canada Ottawa (population 1,000,000, a million) = 6% of Canadian millionaires population 505,000 millionaires, around 35,350 Millionaires or 3.6 % Ottawa population. Ave Home Price = 441,800$. Translate into Home (in Toronto Detached 1.48m, Semi 1.2m) Ottawa less than Toronto 700,000$ -> 900,000$. NOTE: At peak, Ave Detached Home in Ottawa = $550,000s vs. Detached Home in Toronto = $1.56m = 1,000,000 millions dollars different - Province BC (British Columbia), its city Vancouver (population 680,000) = 7% Canadian millionaires population, around 40,400 Millionaires, or 6 % Vancouver population. Vancouver Ave Home Price has only 50,000$ different from Toronto. And small population 14x less than Toronto 9.5m. Most important -> In 2020, Home Price Detached Home in Toronto = Home Price Detached Home in Vancouver. NOTE:
Ottawa 3.6%, Vancouver 6% of millionaires / population is
better than Toronto = 265,000 millionaires or 2.5% of 9.6
million population of Toronto & GTA, because of poverty in
large 52% racialized Canadian &
immigrants, and 9% blacks population in Toronto &
GTA. If just focus on City
of Toronto not including GTA, the millionaires
/ population = 6.0%
in City of Toronto (North York or
North of Toronto, Etobicoke, Downtown... see
Toronto map), better than richest Asia Singapore =
4.0% millionaires per
population. Ave Detached Home in GTA is
164,000$ less than
Semi Detached Home 1.2 m
in City of Toronto.
All is about Data. No mouth data.
Use few Average Data,
Scientists can do calculation easily, simple understand,
accuracy. Use
mouth-data, he said, she
said = tens of thousands different Data, unscientific
mouth-data, unknown sources Data, Scientists can not
do calculation accuracy, impossible. For example:
My home, my friend's home, my
neighbour's home data,
anyone can say anything Data,
or pick-up few expensive area Home
Price Data is
biases, unscientific, fake data, mouth exacerbate Data,
pump price up data,
did not represent accuracy and scientifically
a whole population data of a city.
Impossible. Says, a
Scientist Professor. - The rest of Canada = 9%, which includes: - Hi tech, Start-ups area, Silicon Valley of Canada, Kitchener - Waterloo Proximately 2% Around 10,100 Millionaires of all 505,000 Millionaires, population 240,000 - Canada Center Oil Producers in Alberta its Capital Calgary, proximately 3% of 505,000 Millionaires, Alberta population 4.4 million. Around 15,150 Millionaires - The remain of the rest population Canada, other Provinces, and tens of thousands of small Towns across Canada proximately 4% = 20,200 of Millionaires. They live in Provinces: Manitoba & Winnipeg (Ave = 306,000$), New Brunswick (Ave = 178,000$), Newfoundland and Labrador (Ave = 246,000$), Nova Scotia & Halifax (Ave = 320,000$) , Prince Edward Island (Ave = 230,000$), Saskatchewan (Ave = 287,000$). Ave Home Price around 500,000$ -> 600,000$ less than Toronto & GTA. Translate into Home (Detached or Semi) less than Toronto 800,000$ -> 1.000,000$. Canada’s three territories are: Northwest Territories, Nunavut, Yukon. What if take Home away from middle class and millionaires? - 90% their wealth in Home, their piggy bank. Income every month, Mortgage (or Rent) is paid first 1st priority -> Then Car, Living Expensive, food, debt in second 2nd -> Not much money left. -> They still make ends meet. They have more expensive to pay than people no home. People put money in Home, in Stock most popular. Only idiots put money in Cash under bed, and spend fast. You have to live as middle class home owners in Industrialized Countries in order to understand their lifestyle. NOTE: As scientist, We use Data Science to explain something like Housing, Life, Economy, Computer Science.
How Data Scientist
Collect Data:
(update 24/1) |
Update January 2020: latest Home Price in
Toronto
NOTE: Scientists and Real Estate
Industry used Average Home Price, Bench Mark Home Price, Median Home
Price for equally distributed a whole City, including many
areas, municipalities, streets. They don't pickup some areas, some
neighbours, my friend Home, my parent home...where home price
expensive, then used these Home Price to present a whole City. For
example, in Downtown Toronto, there are Condos = 1 millions dollars.
Then use a million dollars Condos Price to present for price all
Condos in Toronto. This is "faking price"
, exaggerate. Home Price also depends on
Renovation, a 50K Renovation could increased 50K, 70K.
When says Ave
Detached Home = 1.35 millions means not all Detached Homes
1.35 millions. Some more than 1.35m = 1.5m,
1.6m... Some less than 1.35 millions =
1.2m, 1.3m ... Scientists then
used Ave = 1.35m for
Fairly Distributed Presentation a whole
City, not 1.6m nor 1.2m.
Home Report in Jan, 2020. -
Headline:
1) - Lack of Home Listing and Home Supply, while the Demand continues growth
outpace of the Supply. Increase competition between Buyers.
This makes Home Price in Toronto, GTA
increase.
2) - Lower Interest Rate at historic low 1.75% thus lower Mortgage Rate and
Rising Population. See Toronto map,
click here
3) Toronto Star -> Toronto home prices
likely to be hot again in 2020 after 4 per cent increase last year.
Resale home prices rose by 4 per cent in the Greater Toronto Area in
2019. And prices will continue to rise into 2020. Home Sales
in GTA increases 17.4%.
4) During winter months like December, January, February, usually,
Home Price goes down because of the weather,
snow, less Buyers.
5) - Based on latest Ave Home Price of Detached and Semi Detached Home, you
own 2 x Semi Detached Home = 2.2 millions, 1 x
Detached Home = 1.35 millions. Thus owning 2 x
Semi Homes, you have 850,000$
over 1 x Detached Home. But the cost for Maintenance and Property Tax, not
much different.
Ave Home Price 5 biggest Canada Cities in Dec, 2019:
Montreal, 2rd biggest City
Canada after Toronto 1.75 millions population, Montreal University, McGill
University, Ave Home Price =
$382,000,
up 9.4% compared to last year Dec, 2018. Last month =
$379,000.
=> Rent:
Montreal’s average rent for a two-bedroom apartment is
$809 per month.
Vancouver City,
675,000 population, Tourism, Film Industry =
$1,001,000,
Home Price down
3.1% compared to last year Dec, 2018.
Last
month = $993,700
Calgary,
1.26 millions population, Canada Center Oil Producers =
$413,900,
down 1.4% compared to last year Dec, 2018.
Last month =
$419,400
.
=> Rent:
Calgary’s average rent for a two-bedroom apartment is
$1272 per month.
Ottawa,
884,000 population, Capital, Ave =
$486,800,
Home Price up 10.3% compared to
Dec, 2018.
Last month =
$441,800. Condos =
314,000$,
Detached Home =
$501,036. In 1999-2000, ave Home price $150,000
=> Rent:
Ottawa’s average rent for a two-bedroom apartment is
$1300 per month.
Kitchener- Waterloo,
234,000
population, Hi-tech, Start-up, Waterloo Univ, Head Office of Black Berry, Nortel,
Ave Home =
$527,718,
up 9.3% compared to last year Dec, 2018.
Last month =
$566,866.
- Detached Home
$615,000 dollars (Dec, 2019)
in Kitchener-Waterloo -
Condos = $333,000
(Dec, 2019)
 NOTE: In 2018, Total millionaires in Canada is 505,000 millionaires. In 2012 before Housing booming in Toronto & GTA, there were 422,000 millionaires in Canada, 47% of Millionaires live in Ontario & Toronto = 47% millionaires, Toronto is its capital, and 19% of Millionaires live in Quebec = 19% millionaires. Province Ontario and its Capital Toronto & Province Quebec and its Capital Montreal = nearly 70% of millionaires population of Canada. (See Toronto Star) In 2012, ave Home Price in Toronto = 497,130$, in 2016, ave Home Price in Toronto = 730,000$. In 2018, about more than 1/2 Canadian millionaires live in Toronto, estimate 262,600 millionaires in Toronto & GTA 9.5 millions people = 2.7 %. => While the richest country in Asia is Singapore in 2018 has 183,737 millionaires Toronto has 9.5 millions people and ave
just Home Detached + Semi = above 1 million. Why Canada has only 505,000 millionaires ? |
- Latest Data in 2019. 4.5%
of Adult Population over 18 not 37 millions of general population.
In Canada most Millionaires live in Toronto
Big men talk about Home. Common men talk about Car, Cash,
small stuff...
The Law of Attraction says: - If you
talk to people, who are not interested in Home, not Like home, not
understand Home -> Then 90% they had no Home, never Buy Home, not
interested in Home, because lack of knowledge, not Like Home.
Home is the most important investment
of your life.
Almost 90% of online Media
gives you 1 x Data, which is
the Average Home Price of GTA =
843,637$.
This is not accuracy, not good enough to understand Toronto Housing.
=> Here, we give you alot of Data,
including Home Sales & Home Price Data of Toronto, GTA separately.
Not enough, we give you Data of each Type of Homes, such as,
Detached, Semi Detached Home, Town Home, Condos. We also give you
Last month Data, Last Year Data of both Home
Sales & Home Price, Data of the 5 biggest Cities of Canada,
including Vancouver. Housing Data
of biggest Cities and States in US. So only one
source from here, You can see a whole view of Toronto Housing
and 5 biggest Cities of Canada, and of
major Cities & States in US.
As Data Scientist, We have been doing observation & research
Toronto Housing since its Peak & Fall & Cooling, Ups, Downs, Data
**every
month** since 2017.
We can see a holistic View about
Toronto, GTA Housing. Using Data, we can see something that common
people can't see. Apply Economic, we explain why Home Sales & Price
are driven by Supply/ Demand, by main factors like 1) Immigration,
2) rich Middle Class who can afford
-> These rich middle class people
have Capital to Buy Home the most, more than Foreigners, New
Comers, as second investment or help their Relatives. A 20y
Middle Class can Buy 3 x Homes 20% Deposit. Having 1st Home helps
Toronto Middle Class easier buy additional Homes. Canada has the
richest Middle Class, Millionaires by Population in the world rank#2
same as UK. Toronto Middle Class has 1/2 millions dollars richer
over the rest Middle Class in major Cities Canada & US, only after
Vancouver and some areas in US Silicon Valley. More than 50%
Canadian Millionaires live in big City Toronto, not in Capital,
just like other countries. Immigrants, New Comers
helps population growth, increased more demand for Housing. They
are good Renters for Middle class Home Owners.
Immigration
#1 Factor -> Population
Growth, Economic Growth, more Businesses
created from
rich Immigrants 65%
of All Immigrants come to Canada,
more Workers from poor
Immigrants, since cheaper to bring immigrants produced right away,
more Products & Services produce -> More people Demand for Rent &
Housing -> High Rent -> more Demand for Home -> high Home Price.
Because people don't want to pay high
Rent, thus Buy Home. They also Buy Home, but not as
much as Middle Class Toronto. Even
Immigrants, New Comers high
Demand for Rent also create more
Demand for Homes. WHY?.
So Immigrants is the #1 important factor for
strong Demand Toronto Housing,
unlike Vancouver, and other Cities in US & Canada.
That's why Toronto Housing Market driven by
Immigrants, Toronto Middle Class, Millionaires is different with
Vancouver Housing Market, and other Cities Housing Market in the
World. Toronto is
only City in the World has multi cultures, because high population
of Immigrants. 3)
Interest Rate, 4)
The Economy, 5) Inflation money lost
values overtime, price goes up naturally, a MacDonald big Mac, 100K
in 20 y ago different with a big Mac, 100K in today, and
6) Government Policy, like Stress Test, a tool
control only Demand Side, but not Supply Side.
Click here see Supply/
Demand Chart, Price vs Quantity for Toronto Housing's Problem
Solving. Thus create competition between Buyers while lack of Supply
-> Home Price continues up unless Supply Side improve.
We also include analytics about Home, which will help
you make a lot of money, make better decision,
and importantly,
you will not be
fool, when someone blah, blah grade 5 about
Home without Data. They already make a lot of money using this
knowledge, make right decision using Data.
Why as Data & Computer
Scientist should talk about Technology, but talk about Home?
- Because if
just talking about Technology will not draw a lot of viewers,
boring, and not
much Technology stuff to say every month.
Home is Big. Every one, including
people in Toronto & GTA, and in other Canadian provinces, and
abroad, likes to know more about Home in Toronto, GTA. Which could
apply in their own Housing, their own City.
People work hard a whole life, 9-5 ever day just for Home. People
become rich, millionaires because of Home. We as Data &
Computer Scientist, want to use this Data
Science, Technology skill to apply in Home. Like we use this
hi-tech skill apply in Business-> Build software
helping business solve problem. -> Which helps people
make the most important decision in their life:
Have Home. Have Something.
We use Data, no biases.
A lot people said: -
While people talk about Rent better. Reading
your Home Blog, understanding more about Home, we save money, just
Buy Home first time.
Thank You.
November 2019:
Few Notes: Almost
middle class, millionaires, whoever in Toronto still make ends meet.
If some people said they are already have Home, millionaires,
no need money, no need make ends meet. This is narrow minded, wrong.
Every one regardless background, rich, poor, social class, has the needs to
make ends meet.
Home Report in October, 2019. -
Headline:
Sales jump 14%, Price up 5.5%. Semi in
Toronto = 1.1 millions. Detached
in GTA = $952,000,
difference = 150,000$.
This happened almost 9 out of 10.
From now on, we will show the differences between them.
See Toronto & GTA (Greater Toronto
Area) map below.
NOTE: To avoid
people blah, blah, mouth, tongue use few expensive Homes, my
friend's Homes, few Areas have expensive Home Price like Downtown,
then present as a whole. This is dumb grade 5, unscientific,
faking, biases. The Real Estate
Industry uses Average
Home Price of all areas for easy to
understand, keep track, historical data, remember, analyse, fair
distribution, accuracy. Use Data, scientist see far than
common people
For example, saying in 1998-1999, ave Toronto home price =
$219,000, every one can understand easily
Home Price 20y ago vs now = around 4 x times increased. From here,
scientists can analyse -> How Could ave
person can afford a home? What kind of income? -> Then
Data Scientist can see: - While income,
salary grows only 2x or 2.5 times but Home grows 4., 4.5 x times.
Thus nearly double 1.5 or 2 x times
harder to buy home today than 20y ago, even salary increase double
compared to 20y ago. From one Ave Home Price Data,
scientist can see a lot of things. So on .....
A Scientist Professor said:
- Using Data in 20y proves that Buy Detached Home many not return profit
than Buy Semi Detached Home. A
65K question.
-> When Home Price Ups / Downs,
all types of Properties Ups/ Downs. But Detached Home Ups a lot, and Downs
the most. For example, in Housing Cooling in 2017 - 2018, Detached down the
most $300,000, while Semi dows
$100,000, Detached Down
3 x times more than Semi Home. When Home
Price Ups/ Downs, but the Home Price of Detached vs. Semi is difference in
the range [ $150,000 -> $250,000
or around 15% - 18% ].
Based on latest current Home Price, currently, in 20y, Detached
return profit more than Semi =
230,000$ after 20y. Thanks to
Home Price in Toronto always ups in 20y. How about if Home Price downs,
or flat? the Profit Return could be small =
$100,000.
But the Extra Cost is always fixed, Interest will Up not small
historic very low like right now. While you buy
Detached Home, you will borrow extra mortgage $200,000 -> $250,000 -> Thus
cost extra your budget for Mortgage, Property Tax (Detached double Semi),
other expensive like Home Maintenance, Home Insurance, around
$ 2000 / month more than Semi Detached
Home. -> In 5 years you pay extra cost =
5y x 12 mo x 2000 $ / month = $120,000
extra cost over Semi -> Thus 10y pay extra =
$240,000 extra
cost than Semi -> In 20y pay extra =
$500,000 half a
million extra cost than Semi. -> Thus for a Detached Home
you pay extra cost in
20 y = 500,000$
near double for the difference Price between Detached vs. Semi Detached = at
the most = $250,000.
The extra cost more than the return Price between
Detached vs. Semi means Buy Detached doesn't means more profit than Semi. =>
Thus 20y ago, Own
a Detached Home doesn't mean you gain more Profit than Semi, because you pay
more extra Cost than own a Semi.
Now look at the Ave Home Price in 20y, 20 y
ago = 219,000$, now Detached = 1,32 million and Semi = 1.1 million, ->
At Oct 2019, the Profit return is of Detached vs. Semi = $220,000
after 20y. But the extra Cost around 500,000$ -> You do not gain but also
you may lost $250,000 in 20y. You don't count the
Extra Cost = $500,000
but count only the different
Price Profit of Detached over Semi in 20y = $230,000.
-> In 20y Extra Cost more than Profit Price between Detached vs. Semi
based on latest Data in Oct, 2019. -> Semi less risky than Detached if
lost income, interest Up, Home Price flat or down.
You can always upgrade
from Semi -> Detached any time will cost around
150K -> 200K, based on current Ave Home
Price = 900,000s. If Detached in future Price may go downs -> Then Buy Semi
first waiting for Detached Price down then upgrade.
=> Because Extra Cost of Detached is big, you will be better buy
2 x Semi detached Homes, value = 1.1 million x
2 = 2.2 millions
over 1 x Detached = 1.32 millions.
=> He said:-
So if some one say Buy Detached more profit than Semi
is not right. Need Data Scientist see far than common people can't
see, see near, blind, small, see biases, making decision not good, because
lack of Data or not trained in Data Science like Anthropologist.
Which saves a lot money.
Having Data, access Data doesn't means you
can analyze data. You need Data Scientist
make sense of Data.
That's why people see Data but don't see, don't
know what it means.
NOTE:
Emotional
Intelligence vs. Data Intelligence.
Emotional Intelligence is Human Intelligence has evolved tens of thousands
ago when no hi-tech, internet. Human used basic instinct like
Love, Hate, Emotion, Feeling, Greed & Fear, Like It
or Not... in every day making decision, for survival, still today
even smartest educated people, President, CEO.
Emotional Intelligence is easy mouth & tongue,
based on its own life experience, no need
to analyze data, no need train, no need do research first before talk.
And also they are not
trained in Data Science.
CANDO = Collect Data, Analyze Data, Normalize
Data, Design Data, Organize Data. -" It is easy that's why people
like to used.. But without Data, it is blind,
biases. Today, Human in the Fourth
Industry, Internet, Software, Data ... Computer Scientists design
computer system, analyse Data help in making decision. Which is called Data
Intelligence. Using Data Intelligence, we make decision based on Data more
accuracy, see far, avoid biases, avoid Like It or Not.
For example, Only dumb people put a million dollars cash under
mattress bed, in bank account no return, loss value by inflation, easy
spending, or buy Car after few yeas lost 1/2 its value.
90% Asset of Middle Class in Home, piggy Bank.
Every month, first Priority their Income in Pay Mortgage first, is a small
investment continuously for at least 20y.
Asset, Wealth of Middle Class Toronto is
Ave = 1/2 millions dollars
richer, and Home both Detached & Semi Detached in Toronto Ave =
$700,000
richer than Middle Class in any Cities in
Canada and US, except less than Vancouver
70,000$, and few areas in US Silicon
Valley. Ave Home in US = $230,000
according to US Business Insider in 2019.
Click
Cost Buy home in 50 US's States in July, 2019.
Data Scientist use computer software system to collect data, analyze
data, normalize data, calculate the numbers including thousands of Data
Set. Then Corporations used computer system to analyze Data,
not mouth, tongue. It is Data & Computer
Scientists who build these computer Systems. Said, a Professor
teaching: "How to Implement Computer
System and Data Collection, Design, Analyst and Management"
=> Home Buyers choose Semi Detached Home because: 1) Detached & Semi detached Home in Toronto are
A Million Dollars Home. 2)
200,000$ extra mortgage is big, not small.
3) Property Tax Detached more double Property
Tax of Semi detached Home. 4) Less cost
Maintenance, Utility, Home Insurance, Heat
5) Good for extra Rental Home, less
cost, less mortgage. A difference Cost, mortgage, property Tax, other Costs
between Detached vs. Semi around extra
2000$ / month. All about Data.
That's why we need Data in making
decision, see far.
Usually the difference Price between Detached & Semi in Toronto is around
$150,000 -> 200,000$.
Thus ups/ downs when a Detached 1.5 millions then Semi around 1.3 millions,
and VS. Now
the difference Detached and Semi = 223,000$, Detached still high.
In 2017 peak time, Detached Home Price jumped too
fast too quick because of foreign Buyers. But Detached has gone down
recently to the level used to be, which is different with Semi around 150K
-> 200K. => Right now, Oct 2019, Semi in Toronto =
1.1 millions, Detached in GTA =
$956,000. 2 x Semi in
Toronto = 2.2 millions
while 1 x Detached Home Toronto = 1.33
millions
Home Value not just depends on 1) Location, such as, big
city, small city, town, suburban, it also depends on 2)
New
Renovation will increase Home Value. Like most Homes in Downtown
Toronto are old Homes around 80 year, but very high Price the most in Toronto,
because its location. Unlike Vaughn, North York, new migrants, people just
move in 25y. One my friend just made few
New Renovation 50K increased Home Value = 80K. When buying New
Home, Builders don't build every thing ready, such as, unfinished Basement
look like laundry room can't live.
He said: - Renovation such as, replace old floor with new quality
wood a whole 1st floor, when walking not hear sound,
replace old kitchen with new cabinet kitchen, new Open Living Room Open
Space Architecture. Knock down the walls (hardest, move alot
garbage, debris, labour cost, air dust every where, home owner uncomfortable
living ) and Replace new Floor, new Cabinet
Kitchen ... Usually, people cover windows, don't want to show old home
architecture. Then expand old small stand-only bath room with new bigger space
bathroom, extra bed-room, new Painting, renovation new whole basement like 2nd
Floor, with kitchen, bigger space bath Room, 2x bed room, living room,
separate entrance.
The whole replace new Renovation cost 50K, increase home values 80K, even
better than new home.
Update October 2019:
Few Notes:
=> On Ave A
20 year middle class can buy 4 (at
least), 5, 6 x 1.1 million
Dollars Home. Or Buy 3
(at least), 4, 5 x 1.3 million dollars Homes. Satisfy 20%
deposit.
-> How Long
and How Much
% Deposit when you bought Home?
= Home Ownership
-> If Buy Home
after 2006, Deposit less than 20% ==> Home Ownership
less than 50%. ->Very worry if lost job could mean lost Home.
Very worry when Interest goes up, Home Price flat or down.
-> People no Data think when they Buy & Live in a 1.3 millions
dollars home, 20% Deposit, then they had 1.3 millions.
But use Data, Scientist proved that they real asset is only
260,000$, Debt =
1,040,000$. People are greed, always
greedy, think
Gain ( = 1.3 millions)
no Loss (Debt = 1 millions.
This huge Debt is not free, huge Interest payment. They have to work
harder, longer 20y, 30y to pay off this debt.).
Scientist says this is called "Behaviours Economist".
-> A Data Scientist Professor,
who teaches Data Management,
CANDO (Collect Data, Analyze Data, Normalize Data, Design Data,
Organize Data), and *Build & Design Software*
manage data, says: - That's why, as
Scientist, we use Data. Without Data, people blah, blah, blah.
Behaviour Economics: Study
about the effect of Emotional
Intelligence, Cognitive Decision, Culture, Society, Psychology of
Individuals on irrational
making decision economically.
It helps us measurable,
understand Human Behaviour better when they react to different Economic
Situation, and Economic Policy. From
Behaviour Economics, we
can develop Policy, design Models
of Consumerism's Behaviour,
Sales & Marketing Strategy
in order to
response to change in Policy and Market Condition.
Which makes the difference between Tradition Economics and Behaviours
Economics.
-> If Save for 10% Deposit take 10 years, then Save 20% Deposit take
20 years. Then Home Price goes up fast, miss home run. That's why a
lot people before 2018 Buy Home with 10% deposit.
Today, Stress Test requires 20% Deposit.
This reduced a lot of Home Buyers because not only
Home Price very high but also Deposit at least 20% very high.
-> The difference between 10% and 20% Deposit is for 10% Deposit,
the
lost huge money hundreds of thousands for Interest Payment, longer own Home 30y,
35y, even 40y.
-> - Home Price high because of Location not because of size big or small
->
What were you doing in 1998 - 1999?
- In 1998, 1999, Salary of Professor could Buy 1 x Home 30% Deposit,
OR, 2 x Home 15% each in 1 year in Toronto. Ave Home Toronto in
1998 - 99 = 219,000$, Right Time at Right
Place. Today, this never happens again.
Use this as a threshold Data for 20 year of Wealth.
See Prof.
Cheque 20y ago
-> Can you explain why a lot people work for 10y, 20y but still
nothing? - How much do you create values or Wealth in 10 year?
- Why? -> -
What should you do to improve?
-> The Law of Attraction says: - People no Home less likely interest
in Home, less talk about Home, don't want listen to Home ->
As a result, these people will never Buy Home, Own
Home. - People no Home, or want to Buy Home in future,
will likely want Home Price goes down. Same as,
people who think money not important -> Then Money
will not come to them -> Will likely they are poor.
-> Based on Data, on average, Middle Class Toronto, Vancouver are richer than Middle Class in other Canadian Cities 1/2 millions dollars.
 - This Home 1.25 millions dollars in Toronto. - Deposit 20% = $250,000 you can have this home. Before you buy this million dollars home, ask this: 1) Do you have Income at least $130,000 ? 2) Are you sure you don't lost job in the next 12 years to pay big mortgage. Lost Job = Lost Home, because you have new home big mortgage at least $900,000, around $8000$ / mo. Work very hard, longer, no peace of mine, no rest. 3) If you buy the new Detached home, then rent out, then not good idea, less profits. Because Tenants don't care new home, Detach or Semi. They care cheap rent. For rental better buy Semi- Detached Home for Rent, because small mortgage, less maintenance cost, small Property Tax. More profits. 4) Bad Tenants pay no rents hard to kick them out according, and they damage your home. 5) Detached very high Property Tax at least $600 / mo, high cost maintenance, utility, big mortgage payment .. When Home Price goes down, Detached Home down a lot more than other property. For example, Toronto Housing Cooling in 2017, Detached Homes in Toronto dropped from 1.55 millions to 1.3 millions = $255,000. While Semi-Detached home dropped only $80,000. 6) Detached Home Cost more / mo, but no good Return On Investment. Price Semi-Detached return 7x times more than Home Price Detached. See Ave. - Buy expensive Detached Home doesn't get much return also cost more, because you pay more Detached Home Price for Mortgage, Property Tax / mo ... WHY? Because compared to last year, Semi-Detached Home Price up 7%, 7 x more than Detached Home up only 1.2%. Price down more often. Thus, Semi-Detached return more profit 7x than Detached, and less Mortgage, less cost Property Tax, less Home Maintenance, less Utility - Based on Average Home Price Data, both Detached & Semi-Detached are categorized as A million dollars Home. Compared to last year, Semi-Detached Home Price up the most, up more than Detached, Town Home, Condos, in all properties. These are experiences from Detached Home Owners, or both Detached & Semi, who kindly share their experiences to you that no body wants to tell.
|
NOTE:
Before 2018 need 10% = 100K. Even 5% to buy this home. The
difference between 10% and 20% is = Cost extra
few hundreds of thousands payment of Interest.
Which means less profit, work longer pay off
mortgage.
People greedy. They spend 200,000$ for
20% stake to buy a million
dollars home.
Ownership only 20%,
but think they are millionaire, own a whole 100% home, no Debt.
But if people want be millionaire, then
be millionaire.
Welcome. |
-> Both Home Detached and Semi Detached
Home Price in Toronto categorized as A million dollars Home. Detached
Home more expensive but Property Tax 2 x
times more than Semi-Detached home. Semi Detached Home Property Tax =
250$ / mo, 299$ / mo, Detached Home =
600$ / month. When Home Price goes down, Detached
Home down a lot more than other property, specially Homes in downtown
Toronto.
For example, Toronto Housing Cooling in 2017, Detached Homes
in Toronto dropped from 1.55 millions to 1.3 millions =
$255,000. While Semi-Detached home dropped around
$80,000.
|
A
Data Scientist, who followed closely
monthly every month Toronto Housing Data, its
Trend since 2017,
has Relatives own Detached Home. He said: "- When Housing hot very on Demand like in 2017, Detached Home Price up fast around 1.56 millions dollars, jumped up fast & big. But when Housing not hot, people are looking for "More Affordable Housing", Detached Home less hot, less Demand, then its Price goes down fast & big, Greed & Fear. In 2017, Toronto Housing began cooling, Detached Home dropped from 1.56 millions to 1.25 millions. It went down fast and big from $200,000 -> $300,000. Today, Detached Home = 1.36 millions, has recovered its price a little bit. While Semi-Detached went down around $80,000. When people looking for "Affordable Housing" Home Price more affordable, Semi-Detached becomes more popular, seems performed better than Detached Home too expensive, big Mortgage, high Property Tax, more risks than semi-detached Home. Semi-Detached Home Price this year up 7%, return 7 x times ROI than Detached Home. => Can Detached Home comes back to its peak in 2017 = 1.56 millions dollars? Not sure, now people are looking for Affordable Housing. NDP (New Democratic Party) is calling for to increase Supply 500,000 homes built, 15% Tax on Foreigner Buyers. Which could put Home Price goes down alot, worry Middle Class in Toronto, GTA. While Liberals only 1% Tax on Foreign Buyer's vacant Home + 10% Financing Support of Mortgage toward value of their Home, help first time Home Buyers, increase financing support for Home Price from 480,000$ -> near 800,000$. A Home $425,000 save 239$ / mo, Home $800,000 save 500$ / mo on Mortgage payment / mo. Boost more Demand for Home. No NDP politician has been elected in Toronto, GTA in Canada Election Oct 21, 2019. NDP dropped to 4th places from 39 to 24 seats, lost 15 seats. NDP no gain any seat in Toronto, GTA. Vaughn, Markham went to Conservative. The rest Toronto, GTA's seats went to Liberals. It is Toronto, GTA saved red Liberals. " |
 Some main Housing Policies promised in Election Oct, 2019: NDP: - Increase Supply 500,000 new Homes built + 15% Tax on Foreigner Buyers Liberals: 1% Tax on Foreign Buyers vacant home. 10% Financing Support, invest in first time Home Buyers and increase support for Home from 500,000$ -> 800,000$. Save 500$ / mo on Mortgage Payment. - Conservatives: Review Stress Test. Bring back 30 y amortization mortgage payment. Not required 20% deposit, 25 y amortization, like Stress Test now. |
Click
Millionaire Households Rank in the World
-
Click
Cost Buy home in 50 US's States in July, 2019. -
Salary needed to Buy Home in 20 major US Cities.
Click.
NOTE:
Today the average Home price in US is
$226,800 according to US Business Insider, different depends on different States.
In Toronto, Income around 140,000$
can afford a million dollars Home.
=> As Scientist, we use Data. Without Data people blah, blah
like Grade 5.
- Toronto, 9.5 millions population =
City of Toronto, 3 millions population ( Its
Municipality = North York (see Notes from North
York Real Estate), Etobicoke, East York, core Downtown
Toronto. (416) Phone code ) +
GTA ( Greater Area Toronto =
Vaughan, Markham, Richmond Hill, Brampton, Peel, Mississauga, Scarborough,
Oakville, Pickering, Ajax
...), 6.5 millions people.
Just like any big City like New York
City, Tokyo in the world, Toronto has its City,
which is, core City or City of the City, which
is City of Toronto. In the City of Toronto has
its municipality like North York... and Downtown Toronto,
where big Banks, Financial Institutions, Stock Market, Gov Agencies. And
Toronto also includes Districts (GTA)
around.
For example, New York City, 8.6
millions population, consists of five Districts, each of which is a separate
county of the State of New York. The five Districts –
Brooklyn, Queens, Manhattan main core city,
City of city New York City, like City of
Toronto, The Bronx, and Staten Island – were
consolidated into a single city in 1898
- GTA has 4 Regions.
York Regions includes: Aurora, East
Gwillimbury, Georgina, King, Whitchurch-Stouffville,
big District ones = Markham, Newmarket, Richmond Hill, Vaughan in
York Region. Peel Region includes:
Brampton, Mississauga, Caledon.
Halton Region includes: Oakville,
Milton, Burlington. - North York not in any GTA's
Regions, but in City of Toronto. See notes from North York Real
Estate.
|
GTA (Greater Toronto Area) District around Toronto. Population around 6.2 millions. GTA Ave Home Price = 960,772$. Include: York Region, Peel Region, Halton Region Rest of GTA (905) = 931,834$. Include: Durham Region City of Toronto, or 416 phone area code, population around 3.3 millions. 2 biggest University of Canada is : York University rank #2 in North York, University of Toronto, rank #1 in Downtown. where Ave Home Price = 1,022,051$. City of Toronto, 3.3 millions population. Its Municipality = North York, Etobicoke, East York, core Downtown Toronto. Top 5 Biggest Cities in US & Canada: 1) Toronto = 9.5 m, City of Toronto for Toronto, where Stock Market TSX, Center of Banks, Head Office of 5 biggest Banks of Canada, Financial Institution, Manufacture Hub. Population = 3.3 m. Toronto is Capital of Province Ontario. 2) New York = 8.6 m. City of New York is Manhattan, where Stock Market, Down Jones, NASDAQ, UN Headquarter, Center of Financial Institutions US, population = 1.7 m (like City of Toronto for Toronto). New York is Capital of State = New York 3) Los Angeles 4m, 4) Chicago 2.8 m 5) Houston 2.3 m Toronto = GTA + City of Toronto A lot of confusion using Ave Home Price for Toronto. Most big Media like BNN, City News, Toronto Star, Financial Post... use only one Ave Home Price = GTA Ave Home Price = 960,772$ for Toronto. Make it simple. We use Ave Home Price Toronto for City of Toronto (416), not Toronto. |
 Update:
Oct 10, 2019.A Story: From Factory to A Canadian Scientist Professor, Millionaire, 20y in Middle Class I started at 18 in Toronto Life alone, no money, no degree, no family, self-sufficient, no privilege, no thing, overcame biases, adversities, obstacles, difficulties. I worked to make ends meet in low end job Factory for a while. I came from middle class family. My father was Gold Producer. Then lost all. I didn't get used to this kind of work before. Today, you don't see Canadian born working in Factory either. It's hard work, less pay. In 90s, my factory's pay cheque after paid Income Tax, I had 750$ left for Rent (= 200$), Car, Gas (=100$), Car Insurance (= 99$), and all Life Expensive, such as, Food & Grocery ($300 / mo, around 10$ / day), not count Restaurant, Eat-out, Drink like Coffee, Phone, Internet, TV, other Bills, forget Vacation (= many not count, Car Loan if new car). => As you see, hardly survival, I managed, had $50.0/ mo left for saving. "-> Doesn't Matter How Hard You Work, You Try -> Hard to Buy Home In Toronto, even Home so cheap in 98-99 if Work in Factory or Minimum wage Jobs. ", like no other choice. => Then I tried very hard to advance my career. Then I started career as Prof in 1998. Which has changed my life for ever, from Factory to Scientist Professor. => My first cycle of life 20y ago 1998-99 -> 2019, I started career early as Prof, on Top at Right Time & Right Place Toronto. Get in Middle Class early. No waiting for Interest, Home Price ups/ downs. Advise. In 1998-1999, ave Home around 219,000$. Salary of Professor 50$/hr, Teacher 11$ / hr, Engineer, Software Engineer 12$ / hr, Minimum wage, Restaurant server, Factory Worker 5.50$ / hr. In 1998-1999, Salary of Professor can Buy Home in 1 year with 30% Deposit, or 2 x Homes 15%, in 98-99, ave $219,000, easy, cheap, no Stress Test. Although Home was cheap, however, Interest Rate very high around 6.5%. Today is 1.75% not changed since Oct, 2018. People were not interested in Buy Home, Home not hot 20 years ago. Lack of knowledge and couldn't foresee the grow of Toronto Housing. 1) Interest Rate was very high, needs good income 2) lack of knowledge about Home can't foresee the growth 3) Small Immigrant Population in Toronto, immigrant population 20y ago around 40%, today around 52% (latest from Statistic Canada or Gov's StatCan) in Toronto, GTA 4) Toronto & GTA population growth. Which are main reasons why Home not hot 20y ago. NOTE: - 2016 Gov Statistic, 3 years ago. In Toronto, 48.1% were admitted under the economic category (today after 2016, higher around 60%), 32.5% sponsored by family, 17.8% landed refugees, 1.6% in other immigration categories. => What were you doing 20 years ago? - 20y ago, I already started my career as Professor. What I have done in past 20 years is Try hard, Work hard & Reward, lucky live at Right Place in Toronto not other places, other cities, and Started high-end top career as Professor at Right Time 20 year ago in 1998. I still continue working hard to the next 20y. See Full time Prof has minimum hour from 28 hr -> 40 hr / week. Cheque 20y ago.-> in 1998, money very different value with money in 2019. NOTE: In 20y 1998-2019, Toronto Home Price jumped from 200,000s -> 800,000s = 4x. Then value of money in correlation to Home is valued 4x (in compared to Home if you used that money Buy Home) then 20y ago salary of Professor in today money around 250,000$ -> 300,000$, ave Toronto Home Price today $800,000s. All is about Data. We give you a lot of Data. This my pay cheque minimum 28 hr. As Full time Prof, Sometimes I worked more 35 hr, 40hr depends on each semester. From Factory to .. Started my career as Professor in 1998. Take 20 years Work hard and Reward, a lot Saving, while people travel (most expensive spending) every year, spent all saving of that year. No Drink, No Smoke. Then become a Canadian Scientist and Professor, a Millionaire. If 20y ago I did not try harder advanced career @ right Time & right Place, today I am bottom line. Toronto, biggest city of Canada, like your big City, any big Cities in the world, is tough not easy. Just like other big Cities, there are people live here many generations still in poverty, high gap between Rich & Poor. More Economics Immigrants settle in Toronto. Toronto is Canada Financial Center, home of rich millionaire. 50% of 4.5% Canadian millionaire population live in Toronto. Canada rank 2nd with 4.5% millionaires population after US, above German 3.2%, Japan 2.7%, S. Korean 1.8%, Hong Kong 3.5%. Japan has lowest population in poverty only 5.3% in G7, Canada 20.7%, US 28.4%. Millions of people leave their home town to make big dream in big city. Unlike other big cities, Toronto is tough, all kind of people in the world, multi-culture more than 100 countries, complicated, competitive, not easy. You will not see people as same homogeneous as you around neighbours, in school, at work, in office. Toronto, 9.6 millions people more than New York city 8.6 million, has advantage that you live, work with hard working, different backgrounds, diverse people. Immigrants come to Canada, not just refugees. They are Economic & Skill Immigrants from Indian, China, hard working. Like playing Olympic Games Competition, not Local Games. In few words: - This Story is about a person who started life in Toronto alone, poor, no degree, no privilege, overcame biases, adversities, obstacles, difficulties to make a better life. In hope this story encourages people, who want better life, improve poverty, who leave home town to make big dream in big city like Toronto. And some advices. I Cut spending, no Smoking, no Drinking, less Travel, try harder, work harder. All is about location. Millions of people around the world leave their home town, city, move to live in biggest City. Dream big -> Be a millionaire. Worry people, who can't with small dream, will not like you, bias, jealous you. Then you never will, you shy away. 50% Canadian millionaires live in Toronto. Live in big City-> Start Saving -> Buy Home, Condos. -> Salary helps you make ends meet. But Property helps you rich, millionaire. People poor, bottom, hard life, because they don't use Data, not think smart. They waste time, not worth it. => I still continue working hard next 20 years, contributing to society, paying taxes. Toronto, 9.6 millions people, is Home of a lot rich middle class top in any cities in the world since Canada rank 2nd of millionaires population in the world. 50% of Canadian millionaires live in Toronto. They still work hard, make ends meet, have debt like me. No difference. If I can do it, so do you. Thanks Toronto, Canada. |
TREB CEO John DiMichele said: “The GTA’s strong economy, cultural diversity and internationally recognized quality of life continues to attract newcomers to the region each year. However, our housing supply has not kept up with population growth, which has led to pent-up housing demand.” Financial Post: " Canadian home sales outlook hiked as prices rack up biggest gains in two years. Lower mortgage rates and home prices are bringing buyers back" -------  ------------- Homes in Toronto are sold over asking price. Why Home Sales & Price in Toronto Up? Usually, initial, Sellers post low price to attract Buyers. Because competition between Buyers has increased. According to Financial Post. Here are few main reasons: 1) Interest Rate either goes down or stay the same for a while. Happen in US, Canada. Thus Mortgage Rate will be lower. 2) Home Price recently has gone down, more attractive to Buyers. 3) Supple/ Demand, Housing Supply has not kept up with Demand of population increased, of new Immigrants around 100 thousands come to Toronto each year. --------- Salary Needed Buy Home in Toronto is 130K. In 1998-1999, Salary of Professor can Buy Buy Home in 1y 30% deposit, or 2 x Homes 15%, in 98-99, ave $219,000, easy, cheap, no Stress Test. People don't want Home. Home not hot. Not interest. Lack knowledge, people can't foresee. -> Today Prof Salary over 100K takes 13y Buy Home 20% deposit. Ave Detached 1.3 m, Semi 1.1 millions. Salary required *Have* Home (Buy Home Deposit, Pay Mortgage, Property Tax) in Toronto = 130K. => A 20y Middle Class Home Owner = 2 x times Middle Income 65K combined can afford Home in Toronto. - But, A 20y Middle Class better, not afraid of losing Home. While the 2 x 65 K middle income combined lost home any time. Gr5 can prove. Can you? A Scientist Professor said:- That's why we use data. No Data people blah, blah, and blah like Grade 5. A Story: - I know a lot of typical family in Toronto, the husband, wife and 2 children. Wife works minimum wage 14$ /hr x 160hr x 12 = 26880$. The Husband's Salary a little bit better than the wife. They rent a whole house 3 bed-room, furnish basement, paid 2400$ / mo not include utility. Include Utility = 2700$ / mo. Not afford home in Toronto or Buy Home 10% Deposit after 25y working. NOTE:
The difference between this Family combined
Salary and the Professor is that the Professor 20y ago in
1998 started career with
50$ / hr. With Professor Salary in 1998, could
Buy Home 30% Deposit or 2 x Home 15% each in 1 year.
|
 |
=>
What were you doing in 1998?
- In 1998,
as a Canadian, I was already started my career working as Professor in
Toronto Middle Class 20y ago, top
Salary 50$ / hr, Teacher 11$ /hr, Soft Eng 12$ / hr, Restaurant Server,
Factory Worker 5.50$/ hr.
If I started working in 1998 as Teacher or Soft. Engineer, It would
take extra 10 years of Saving, in 2008 -09, then Toronto Home Price already
double from $200s in 1988-89 -> $400s in 2008-09. I could miss it.
Or Buy Home with small deposit like 10%.
=> 20 years ago,
there were a lot PhDs driving Taxi.
New comers face barriers, no privileges,
biases, jealousies, lack of opportunities. Factory is a common
place they make ends meets.
=>
As Data Scientist, myself as a Professor teaching Data Science,
by just asking "- When you started your Career?
- What Did you do when starting your Career in that
year ?", we can analyze Data if you could
Buy Home or Condos, How Much Deposit? Buy Multi-Homes, by looking
at Ave Home Price, Salary, Living Expensive, Tax ....
- In middle income around $55,000 salary like Teacher, Engineer, Scientist
will take at least 18 years for Saving a
Deposit Buy Home since the Date they started their career, not
including on/ off job.
- Today Home Price high, it takes salary
of a full-time Prof over $100,000 Saving 12
years for 20% Deposit = $200,000 to Buy 1 million
dollars Home in Toronto satisfied Stress Test 20%.
Data collected by a Prof from among Profs, and analyze Data by looking at:
Ave Home Price, high Income Tax, Living Expensive, today Rate from
80$ / h -> 120$ / h.
See Prof.
Cheque 20y ago,
when just get started his career.
Case Study
-
Who Can Buy Home in Toronto. - Currently, to buy Home in Toronto, need
salary of 140,000$
So 12y ago or 2006, if started career as
a Professor, salary over $100,000, you have better chance to Buy
Home with 20% Deposit or more, because need at least
12y Saving Buy Home, and in 2019,
ave Home = $920,000 -> A Prof teaches
Data Analyst said. - From this, you can
figure out who can Buy Home or Condos in Toronto. This case study
is about one person just started life from 0.
No help, no borrow, no inherited, no partnership with anyone. Just one
person started
life 0.
NOTE: Why 12 years?
Given today Home Price, it takes salary of Professor
Ave = over $100,000, 12 years for Saving $200,000 to buy a millions
dollars Home with 20% Deposit. So in order to Buy Home, the Professor must
save first in 12 years ahead, which is
2006. What about it is a Scientist,
Engineer, Teacher, other Professionals? -> You figure out use Grade 5.
We use Professor because they have the most highest salary
in Professionals, much more than
Engineer, Teacher, Scientist. And we got Data directly from
them. The Scientist collects Data
also a Professor, and have a lot friends also Professors. High Income Tax
takes away high Income, then Rent.
-> So if a person said Buy Home or Condos in
Toronto, you can Analyze Data (Data Analyst) is
it true or not?
-> For example, a Teacher salary $50,000 started career in
2008 or after graduated in 2006, he/ she will have hard time Buy Home
in Toronto given Professor started career in 2006 Buy Home 20% Deposit
satisfy Stress Test. Today, salary required to
Buy Home where Ave Home Price above 1 million dollars is
$140,000.
-
Salary needed to buy Home in 20 major US Cities.
Click.
For example, Los Angeles's Ave Home
Price = $422,100, rank #3 in US, salary
needed Buy Home is $98,500.
=> A Scientist Professor who
Build & Design Software Analyze Data, not just school paper,
reading, repeating materials, and also
Teach Data Science, Data Analyst,
said: - CANDO
= Collect Data, Analyze Data, Normalize Data
(what is it?), Design Data, Organize Data.
No Data like blah, blah Grade 5.
Home in Toronto (not other places)
makes you become rich, millionaire not Salary
->
Takes 50 - 60 years for a Professor
salary Ave over $100,000
becomes millionaire.
90% people think salary make you
rich. Wrong, because they don't use Data. Let's use Professor
whose salary Ave over $100,000, the most highest compare to other
Professionals
Use data,
we know that it takes a Professor 12 years for Saving
$200,000, 6y = $100,000, after paid for
Income Tax and other Deductable, Rent, Living Expensive, Car, Car Loan, Gas,
Car Insurance, Insurance, Vacation, Travel, Grocery, Drink, Smoke, Coffee,
Eat-out, Phone, Internet, Cable, Debt Payment, Student Loan, Miscellaneous
Social Spending Fees, Clothes & Beauty, (lucky in Canada Free
Hospital, Free Doctor) ..... Thus, it takes 5 x 12 y = 5 x $200,000 = 1
millions -> Takes 60 years for a Professor
salary over $100,000
becomes millionaire.
=> From Data of Professor, you
can figure out if some one are Teacher, Scientist, Engineer ...While take
around 20 years Buy Home over 30%
Deposit, or Buy Multi Homes 15% Deposit
each -> Own Home -> And become millionaire.
Buy Home big different with Own Home. So if you are
millionaire, be proud. Not easy; It
measures "Hard work & Reward". In
Industrialized countries, no corruption, bribery. While people
who are not, work harder, try harder, one day you will be. In Canada 4.8%
population are millionaires, Japan 2.7%, German 3.3%.
Big corporations like Facebook, Google, there are top 5% of their
Management, who are millionaires.
- A 20y Middle Class use their 1st Home, can buy at least 4 x
a million dollars Home with 20% Deposit. Satisfy Stress
Test requirement Deposit at least 20%.
How Much
Should Deposit Your Home?
For example, Buy Home Deposit 10% vs.
20%, 25%. How Much Cost different in Interest
Payment between 10% vs. 20% is hundreds of
thousands of dollars? How long Pay off
Home?
Here is the answer: Let's say you borrow 1000$, you pay:
| % Payment monthly
for Loan |
2% | 5% |
| Borrow Loan In this example Load or Mortgage only 1000$ |
$1000 | $1000 |
| Time Pay Off 1000$ debt | 26 years | 6 years |
| Interest Payment | $3000 | $442 |
You see, by just increase % of Payment for Loan (or Deposit) from 2% -> 5%
or Home Deposit 10% vs. 20%, 25%, you not only
save alot $$$ of Interest Payment but also reduced a lot number of Years pay
off that loan.
Thank
you Canada, Toronto, where I attract right Place and right
Time, where I started life 0,
from nothing to something, from Factory Worker to become
a Middle Class Millionaire Scientist
Professor.
As Data Scientist and Professor,
if you follow my Data Analytics, I can say that
Toronto a City where a dream to become millionaire will come true.
A Millionaire = Save $50,000 / year
for 20 y continuously.
All is about Data. As scientist, we see
things differently from people. No Grad
5 blah, blah ..
The Law of Attraction: -
Attract to a right Place will make big difference for
you and next generation. A lot of people feel pressure,
competitive in Toronto. Toronto is not a small Town, small City.
It is biggest City in Canada, its population 1million bigger than New York
City, all kinds of backgrounds, nationalities. It is nice people,
opportunities, welcome all people around the world.
The Law of Attraction:
The Law of Attraction -> You Wish You Become.
You Like Money, Social Position, then Money, Social Position come to you.
You do not think Money important. Then money will not come. You will spend
all money. You think Life is worth Nothing, then Life is worth Nothing -> You will not try harder.
For example, when started
Life 0 in Toronto, I worked in Factory.
It is hard and very little money. I jumped back & forth from one Factory
to many other factories. I not OK. I have a Plan. -> Then I became
Scientist College Professor,
in Middle Class so quickly. Professor salary that time
in 1998 = 50$/hr, today by inflation adjustment, same as 150,000$ on Sunshine List,
Teacher only 11$/ hr, $21,000 /year in 1998, Soft Dev 12$/hr, Factory
Worker, Restaurant Server = 5.50$/hr. You can Buy Home 35% Deposit, Buy 3 Homes no problem. Get in early.
->
When ave Home
in 1999 = 228,372$ in 20y ago, in 1998 =
$216,815. Then in 2000, Stock Market
crashed. .Com bubble. Recession. In 2001 =
$251,508, 2002 = $275,231
even higher ->
10 year later, in 2010 =$431,207,
2011 = $465,164.
If I worked in Factory, 10 years later in 2011, I never afford because Home
Price double. In 2008 - 2009,
Stock market crashed. Financial Crisis, Housing bubble. Recession. In
2008, ave =$379,347, 2009 =
$395,460 even higher
-> Then 8 years later, April, 2019 =
$903,992.
Factory same doesn't matter in
Canada, Japan, US, China. It is hard work. I started life from Poor. I understand poor. I went thru. I live in Toronto, biggest city Canada,
right location, where 2/3 of 4.8%, 2nd the
world Canada Millionaires live. Japan 2.7%, S.Korea 1.8%, German 3.3%
Millionaire population.
From Economic History
and Data, if you sit and wait for Toronto Home Price go down, listen to
wrong Analyst -> Then you miss the run and wait for ever. Toronto & GTA, 9.6
million population, Center of Economy Canada is not Vancouver 650,000
population, tourism, Ottawa, Montreal, Calgary ... Toronto got sneezed the
rest Canada got flu.
A 20 years Middle Class
used their first Home can buy 3, 4 of A million dollars Homes,
satisfy Stress Test Deposit 20% each Home, easy buy Home than first time
Home Buyer. So
1.35 million dollars home
is not expensive for Toronto Middle Class.
If you buy Home in Montreal in 2000 = $215,000, in 2019 = 350,000$. Probably
same story for other big Cities in US & Canada
|
The Law of Attraction
= You attract to kind of things, money, people,
whatever -> Then they come to you. You
don't Like, they will not come.
The Law of Attraction is not about Rich or Poor
or Money. It is about attract success.
You want Millionaire, Scientist, Professor, whatever. You want rich, want
something. It may come or not, people like it or
not, doesn't matter. The matter is
What You Want attracts you there.
The higher you want, the harder you work for it. It is The Law of
Attraction. -> People satisfy, find peace,
comfortable, happy whatever their situation. But I am not
satisfied the first 20 years and want to keep going next 20 y,
because the Law of Attraction. -> Use the Law of Attraction we can
see the future, my future, your future, other people future.
However, once you truly understand the true key behind of the Law of
Attraction you can be renewed with hope and courage in the
overwhelming knowledge that
you are free to take charge of your life and free yourself forever
from the cycle of fear, worry or negativity which has held you back
for too long It is not about Rich or Poor it is about What attracts you there. No one can force you. So you want rich? -> Not easy to be rich. You try harder to be rich. People said: - I attract to rich because I Like rich ignore poor (or like poor ignore rich). Small minded. Because you want your life rich. What wrong want to be rich? -> Who want their life poor? * -> No Religion, no Government in the world want you poor, people poor? * See Millionaire Households Rank in the World. Click here
What Are You Doing? (update July, 2109)=> In 1998, I was already started working as Professor, top Salary, in Toronto middle class 20 years ago. I have been doing thru 20 y ups, downs in Toronto Middle Class, climbing the mountain. It's tough started alone from 0. => After last 20y in Toronto Middle Class 1999 - 2019, I have experienced Life on the long road, ups, downs continues to next 20y. Life is more beautiful, meaningful than before. I am humble but proud. Started life at 18, 0.0, alone, no degree, from poor, humble worker minimum wage to proud Scientist Prof high pay, in Toronto Middle Class 20y ago. But I already attract to millionaire since 2017 when a Home in Toronto = 1.56 millions -> Which made 20y Toronto Middle Class became Millionaire instantly. Why millionaire? - Because only 4.8% Canadian, 2.7% Japan, 1.8% S.Korea, 3.3% German, 7.8% in US. Already Work hard 20y. But I continue next 20y. Not easy -> 4 factors right Time at right Place: 1) Live at right place in Toronto or City of Toronto. Toronto or City of Toronto (Downtown, A City has Municipalities not District like: North York or North of Toronto, East York, Etobicoke, 3 mill population, in state Ontario = 14.3 m. Thus more than 2/3 of Ontarian live in Toronto & GTA) and GTA (Vaughn, Markham, Richmond Hill, Mississauga .., Districts around Toronto, 6.6 million population) is the biggest City in Canada, 9.6 millions population, 2nd largest City in US & Canada after New York & Its Districts 8.6 millions population (Manhattan 1.7 million population, like City of Toronto, Districts around New York city: Brooklyn, Queens, The Bronx, Staten Island ..., like GTA), L.A 3.98 mill 3rd, Chicago 2.8 mill 4th. If you live in Ottawa, Montreal, any places in US & Canada, out of luck. For example, in Kitchener-Waterloo region, Center of Hi-tech, Start-ups of Canada, University of Waterloo, there are only 3 times in history its Ave Home Price breaks thru $500,000. Not about size, big, small of Home but about Location, Location. Where you Live? Choose a right Place to Live could return 1/2 million dollars = Work hard 40 years of Saving not even close. Benefit for Generation. Around 330,000 Immigrants come to Canada every year. 65% are Economics Immigrant. 33% or around 100,000 immigrants come to Toronto every year. The first thing is they look for a Place to Live. A lot people live in Toronto but don't know Toronto. => As Scientist we use Data to explain not G5 blah, blah ... mouth & tongue. Click See Toronto Map. - Cost to buy home in 50 US's States in 2018. Click. - Salary needed to buy Home in 20 major US Cities. Click. Toronto
where people anywhere, *Start 0* alone, can success, become
Scientist, Professor, Millionaire, or something.
Right place. => From Data,
on average a Toronto Middle Class is more wealth than the rest of
Middle Class Canadian around $500,000.
It takes 40 years work hard to Save
$500,000 Or Save: 125,000$
in 10y, 250,000$
in 20y. Thus just choose A Right
Place to Live, Buy A Home will reward
1/2 millions dollars = 40 years hard
work.2) In 1998-1999 Ave Home Price in Toronto = 219,000$. Right time. 3) Started at beginning Top Career Prof. in 1998, when Prof = 50$ / hr, Teacher 11$ / hr, Software Eng 12$/hr, Minimum wage Worker 5.50$ hr. Buy multi-homes easily. When in 1998-1999 Ave Home Price = 219,000$. See Prof Cheque. Since 1998, Home value up 4.5 x, this cheque today = 300,000$. Cash & Car lost value over time. If started as Software Engineer would take extra 10 years working & saving -> Then Ave Home Price in Toronto already double to 432,000$. Can't afford it. Right time. 4) Take 20 years work hard in Toronto Middle Class. I am not satisfied now. What I have done in last 20 years 1999 -> 2019. I still need go on for the next 20 years before retire, a long road, coaster ride ahead. But I take life easy, meaningful, beautiful, enjoy life than before. The future is not easy, meaner, harder, expensive cost of living, Gov cut backs, more competitive. A millionaire = Save 50,000$ usd every year for 20 years. So why not be proud as millionaire? The Law of Attraction:- Not What People Want - But What You Want to attract to it. Success or Failure, Achieve or not yet Achieve is not important. -> There is a Will there is a Way. |
 The Law of Attraction lets us see the future. -> You think Life is worth Nothing. Then your Life is worth Nothing -> Self satisfy. You will not try harder. Because your Life is worth nothing. It is your future. -> The Law of Attraction says: - My life is Nothing. It is not What I Want. It is not my future. Then work harder, try harder. ->The Law of Attraction says: Self Satisfy: is When you think it is enough, then it is enough. No need try harder. In your life, there are some challenging that required you try harder to next level for better life. But self-satisfy will stop you next level.
|
| Next few months, Home Price in Toronto will surpass the peak level in Spring 2017, when Average Home Price above 1 million dollars (now currently in June 2019 = $937,804, only 60,000 then Ave Home Price above 1 million dollars ), at that time Spring 2017, Detach-Home = 1.56 millions, Semi-Detach = 1.35 millions very soon. -> They are approaching now from its peak Spring 2017. Just last month, it jumped nearly $100,000 from $830,000 in April, 2019 -> $937,000 in June, 2019. -> Do not sell your home soon too low. After sold, you will never qualify to Buy Home again. And you spend all money after break Home piggy Bank. -> I know many Home Owners sell their home, cash out, when peak Spring 2017 before Stress Test in Jan 2018. Now they are very regretted. No Home. |
| -> Wealth creates
Wealth. In any country, rich Middle
Class is created in the biggest City.
In 20 -> 30 years, Middle Class Toronto has seen their wealth up
significantly, creating 2/3 millionaire population of Canada's 4.8%
millionaire population in the world, only 2nd after US 7.1%, Japan
2.7%, South Korean 1.8%. German 3.3%. While Vancouver population
only 650,000 people, less than 15 times Toronto & GTA
population. => Is it Toronto
Middle Class responsible for
Housing Toronto stable, not down like Vancouver ? -> Who have
capital can afford Home in Toronto? - Use Data we also proved that
Middle Class Toronto 2 x times more capital access than New York
city, and Tokyo 's middle class, where average Home Price around
$400,000. - Use Data we show that Middle Class Toronto 2 x times more capital access than New York city, and Tokyo 's middle class, where average Home Price around $400,000 (Business Insider). While 60% American, UK 51%, Japan 48.9%, Canadian 49% have less than $100,000. See Millionaire Households Rank in the World. Click here - Cost to buy home in 50 US's States in 2018. Click. - Salary needed to buy Home in 20 major US Cities. Click. -> As scientist we talk Data, no mouth, tongue. People make wrong decision, no smart choices, because they get used to mouth & tongue. No doubt that at Downtown New York, Home values in millions of dollars. But if you Average poor districts around New York (like GTA), the median Home Price very low. NOTE: Only Dumb and Idiot keep cash in bank account and Show off Cash, Spending gradually to nothing. Most smart people invest their money in Stock or Home gradually to something. Middle Class keeps 90% their capital access in Home. And they try to pay off Mortgage as soon as possible. |
|
May
27, 2019 -
Intro New Office Cloud E-commerce.
By Design seamless integration, same Look & Feel with other
Office Apps. Customers said: - We expand business online Local & Global, reach out more customers. We need an E-commerce, Online Business website. It costs at least $3000 more than a Pos system. But there are not many features, back & forth with web Developers. Our website, our business in their control. Then we use All-in-One Office New Office Cloud E-commerce, not only we have: 1) E-commerce website, but also, 2) Mobile Order 3) Cloud Print receipt. Not seen E-commerce can Print Receipt. And 4) And Manage Data Analytics Sales, Tax, Total Sales, Orders, Date & Time... And 5) Order Management manage Orders. Customers can track their orders, Order History, Pickup & Delivery, Customer Contact, Address. And 6) We self Create Products & Services, Upload Photo, Price .. And 7) Pos. Customers visit website. They use Left Menu Navigation [<=>] (Open/Close) = List of Icons of Product Group, Category, or Search quickly Products & Services -> Add to Cart -> Checkout Pay by Pay Pal. They Login System, check Delivery, Order History, Check-out and Pay faster. No need Register, repeat fill Contact, Address, Phone .. again. At PayPal, only enter Credit Card Info & Paid. They can use Laptop, Tablet, iPhone, iPad, Galaxy ... to place order. We can Print Receipt anytime from OOM (Office Order Management). And it costs only few hundreds a whole system. No subscription monthly. All-in-one Office is built and design so simple and easy that every one can build & manage the website. -> Now, We expand our business online, reach out more customers, Local & Global, only few hundreds dollars. We are in control our business, our website. Thank You for giving us a Tool to expand business. See Photo Office Ecommerce just below Cloud Print and HOW. |
| We are going to launch Office
World Wide, Global soon.
Global Small & Medium Businesses can't afford the Price in Canada and US. So Price Competition and Office Advanced Technology's What Next are the key. Office helps all kinds of Businesses with affordable Price, leverage their potential, reach out more customers, run business more efficient, apply Hi-tech in a new Digital Economy. Main Components in All-in-one Office = 1) Office Menu 2) Office Pos & Mobile Pos 3) New Office Cloud E-Commerce 4) Office Mobile Orders 5) Office Card 6) Office Order Management 7) Office Cloud Print 8) Office Data & Analytics, Sales, Tax, Products & Services, 9) Office Product Catalog Builder ... Good to run a whole simple & complex business, in-store, online, integration. Customers said: - All-in-one Office for $599 no subscription fee monthly, unlimited licence? Other systems, old technology, cost $3000 / year subscription fee, every year, just for 5 staff 's licences used. We can't afford. We don't need much. We want our business in Digital Economy. All-in-one Office seamless Integration helps us reduce cost doing business, reach out more customers. Our business has too much cost 30% -> 35% for Middle Man, for Software System online, off line, other miscellaneous Costs unnecessary. Waste Time back & forth, busy, no profit. NOTE: Customers can suggest What Price they want. Price like that we easily sell thousands of Office Systems. We have no comment. How? - Millions of Businesses, Stores, Home based Businesses from anywhere in the world in Asia, Africa, Europe, Canada, US, you register to Buy All-in-One Office for Business Enterprise System, One App Works All Devices, and pay by PayPal. Only Pay Pal keeps credit card info. How to register? 1) - From anywhere in the world, you register by Submit Form ( or Email ). We will install Office at our Head Office in Toronto. 2) - You just login your Own Home Website. Open your web browser, type: www.myacomp.com/login -> Use User Id & Password we provide. Can always change later. -> Then follow Help Manual comes with Office Product. And start building your Cloud Business. So simple. Our Price of All-in-One Office Enterprise Business System will be affordable to International Customers, who can't afford North America Price, unlimited Licenses. - Office Advanced Cloud Print's Receipt print from Cloud, from online website. => See the latest Apply Cloud Print Receipt in Office -> Click here . (Update: May 8 /2019) => See Staff / Customer Self-Order in Store and Cloud Print Receipt -> Click here. (May 8 /2019) => See Active Table Manager, Repeat Orders, and Cloud Print Receipt -> Click here.. (May 8 /2019) Why Cloud Print?- Because Office is Cloud Technology to integrate with Mobile Order, online E-Commerce. Without Cloud Print, Office can't print. So must Research Cloud Print. NOTE: Most stores print in small area within stores. But Office can Print (Cloud Print) orders from Website, Mobile, Tablet, iPhone, iPad that people place orders thousands miles away, and orders printing at Pos Printer in store. So that Staff can have receipt to prepare food, order items. This Cloud Print, Print from Website, Mobile, Tablet. Even Vend and many other System Can't Do it. They can only Print inside store. Write code software not easy, but write code to print even more difficult. For example, A customer at home hundreds miles away from a Store. She places orders from her Samsung Mobile Phone ( or iPhone, iPad, Tablet, Laptop) -> Then she check-out, paid at PayPal. After paid, the receipts are Printing at Pos Printer in Store far away from customer's home or office. This is called Cloud Print. Conventional Print, a Staff place orders, print only short distance they must in store. Another Example, A restaurant in Japan offers Mobile Orders, Online E-commerce Orders. Customers in Canada, US, visit that Japan Restaurant website -> Place Order using their Mobile iPhone (or Laptop, Tablet ) -> The Orders then are printing in Japan Restaurant's Pos Printer. Another Example, Customers in a restaurant use their iPhone, or Galaxy Phone and place orders using wireless Wi-Fi. Then orders are printing in store's Pos Printer. With traditional printing like Vend Print Technology, this kind of customers self-orders using their smartphone are not possible. Because Cloud Print doesn't need driver plug-in or installed something in their Devices like Tradition Print. So anyone can print using wireless Devices like Mobile iPhone, smartphone ...
|
 Cloud Print: Print from Cloud, online, in Cloud, like website, Mobile Order, E-commerce order. - Cloud Print also called Internet IP Address Printing Technology. This Cloud Print Technology allows Print over the Internet.
|
-
Update Latest Office Product in April 20, 2019:
How to Mobile Order, Online Order, E-commerce Order using Office Software
Product.
Click here.
Customer Online
Experience: Office Mobile Order, Online, E-commerce Order simple & easy,
only few steps, only 3 x screens.
|
A customer said:
-
In China, Japan, restaurants now use
Robots, Automation, Customers Self-order, Hi-Tech replaces Human
Touch to cut labour cost. We still back and forth with paper, high
labour cost. Carbon paper receipt cost ave 5000$ / year.
While Digital Receipt and Thermal Receipt Pos like
no cost. In our store, I used an old PC Pos system which is a Cashier Point-of-Sales to Mange in-house orders. Now, I want to reach out more customer. I open an Online Restaurant that people can place orders from Mobile Order using any Devices, and Online E-commerce Restaurant. I phone to a local Web Design Company. It said: Cost 5900$ just to Design Mobile Order and Ecommerce Order. The company said that it costs only $6000 open an Mobile & Ecommerce store; While your physical Store cost tens of thousands dollars / month, Utility, Rent .... Do business today must be Online in Digital Economy, fast and efficient. Can't human slow, busy back & forth, waste Time & Money. They are right. Our Staff take order by hand, busy back & forth with customers, take alot of time. A lot Customers don't want to give Credit Card Info to Staff by Phone. Less sales. Even Store Owner doesn't want Staff Take Credit Card Info of customers. We need Smart Store need change mindset. But, I can't afford 5900$. Lucky we have Office System. Now, I will replace old PC Pos System by Office System that includes Pos Point of Sales Cashier System, Mobile Order, Online Ecommerce Order. All-in-one Office with affordable Price. ** Very Important ** Office System can print to Pos printer the receipts of online Orders from website, mobile, tablet to Pos Printer from Mobile Order, Online, E-commerce orders. The local software Company can't provide this feature. Email only. Hard for the kitchen chefs prepare orders in emails. For example, a customer not in Store, at Home miles away used Tablet, iPad, iPhone, Samsung Phone open Office to place orders -> Orders will print to Pos Printer. The chefs look at Pos Receipt to prepare order. Other Pos System, their Technology can print order within Store, not far distance like Office System. They can't print receipt from e-commerce website, mobile phone far away, or when customers order not in store. We also call Vend Pos, a 100 millions dollars Investors invest in a 20 years experience Company. Can't Do Online Print.
|
|
- Household Millionaires Ranking in the world.
Click.
- Keep 1 x a million dollars Home 90% Ownership or Buy 5 x a million dollars Homes, each 20% Ownership? - What Millennial New Trend (Data smart)? Click. - Click : Measure Middle Class & Working Class in US & Canada with Europe, Japan and the World -> To measure the Wealth of a Country, you measure the Middle Class, not the Millionaire, Billionaire. To measure the people at bottom of a country, you measure the working class. (some correction - Will introduce many different GTA Districts and Communities help people understand more about Toronto, GTA. ) - Cost to buy home in 50 US's States in 2018. Click here. - Salary needed to buy Home in 20 major US Cities. Click here. (update) -> Toronto 9.6 million population,
Ave Home Price in Toronto
$800,000,
while New York, 8.5 population, ave Home Price $400,000
from Business Insider,
Tokyo population 9.2 millions, Ave Home Price
$247,000 (30 million yen)
-> Home like car,
is the best indicator about
a person, a place that can afford.
-> Like you go to a town where people drive
Mercedes, and another town where
people drive Hyundai.
What does it tell you about that town?
- Home is symbolized for Toronto Middle Class, 90% asset. On
Average, Toronto Middle Class 2 x times richer than
Middle Class in New York, and Middle Class in Tokyo.
If we don't use Data people don't believe it. But Data said so.
NOTE: Toronto Real Estate use Average Home Price $800,000 = All types Properties: Condos, Town Home, Home. If use Average Home Price for just Home, then much higher than $800,000 in Million. Using Data, is worth thousands words, Scientists explain something easy understand by measurement value, define value, fact that common people can't by using mouth & tongue. Using Data, in few words, scientist describes Toronto more than multi millions PR campaign. People around the world, even people live in Toronto understand What Is Toronto. - A Story of a Canadian Scientist Started from Nothing, no Money, no Degree, Lives and Works in Toronto for 25 years of experience. A scientist wears all kinds of shoes, understanding. Click here. Toronto is success and growing City as proven, because it opens to all kinds of people in the world, more than 1/2 its population, come, work hard, contribute, build the City, and have a fair chance of success. Other Cities in the world should follow Toronto, open, do the same.
- Framework is Modern
Enterprise Architecture, like Infrastructure very important.
->
Click.
Office is built on
400 millions usd
Software
Framework.
- Office for Restaurant
Usage: 2 Steps.
Click here.
Include Online Order + Mobile Order
(like Star Bucks)
+ Self-Order (self-order
in store same steps, just like customer
self-order online, self-order mobile. Not difficult.)
+ Data Management, and POS (point of sales).
| NOTE: Why let
the middle man control delivery cost your business 30% / delivery.
And your customer pay extra Tip for middle man, and slow. Because
they delivery for many business customers, not just your customers. Waste Time &
Money + No profit + Delivery Cost 30%, Tip 15% & Slow + Customer complaining. And still no
Mobile Order. Customers Star Bucks Mobile Order all the time. ? ->
Office can help! |
April 20, 2019 -
Latest Update Office: Quick Mobile Order,
Online Order, E-commerce Order
| =>A Scientist Professor, who spent years of
experience Research & Development R&D on
Mobile App Design, Framework, Data
Driven Architecture, said:
- This is exactly What You See
on Your Mobile Screen. No need Design & Download different
Apps from different Stores like App for Apple Store for iPhone,
App for Google Store, for Android Samsung Phone. No need different
Software Developers Teams like Apple Team, Java Android Team.
One App work for all Devices,
easy use, easy manage, easy maintain only one App specially
for businesses no in-house IT .
Save big Time & Money
for Software Development, more than 1/2 cost. Just click on
Office App Icon on your mobile screen, and Open Office Menu as
seen. => If every restaurant, every business,
store uses our Office System required customers in store just
to eat download 100mb then they will have no space on their phone.
No one wants to do it. Eat 1 Noodle Soup download 100 mb data on
phone. Bothering.. => Steps: 1) Register and Login 2) Add-to-cart 3) Checkout Verify Info 4) Payment. Total only 3 x screens. No jump back & forth. In general: 1) Before order using your Mobile, Tablet, Laptop, Register first click icon 2nd: [Register Info]. After register, you Auto Login system. Why? Save time to fill info like Address, Name, Phone ... again for next time order. Next time, just Login: Enter Phone and BoD at Search Box. Then touch left icon [Customer] to login. 2) Then Add-to-Cart items. Use Search to find items. Click [Item Option] select size -> +/- Qty -> Click [Order Now] add-to-cart. 3) Check-out: Then click 2nd icon [Register Info] again to Verify Info or Update Info before Payment. Such as, Select: Paid By Cash or PayPal, Delivery Method by Pick-up or Delivery, Change Address delivery, Phone and BoD. -> Click [Submit] button close this screen. 4) Payment: - Click icon [ePay] to pay Cash or PayPal. DONE! Save Time & Money: Automation System better than Staff Take Order, Process Order, do every thing, look busy, but cost Time & Money, human errors, hard to Track Data, back & forth. |
- Home Value affected by Inflation just like other things. Whatever we have, car, cash, cloths, TV ... will lost value naturally by Inflation the Time Machine, in the long run. Only Home increases values, protects us from Inflation. In 90s, Big Mac was around 2.0$,