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- Open and honest communication is better communication. All comments in this Blog are of scientists in their own rights. 
- Scientists have freedom of researches and freedom of ideas. Some ideas may be different with your ideas. All is for the purpose of sharing ideas & technology, opening new ideas, improving business efficiency, shifting innovation, making society open & advanced. - Fostering a culture of shared creativity and innovation. - It is not sugar coating, open and honest, a lot of data.

- Innovation is contagious. Mindset is contagious. To build something big, you need surrounding people who are big mindset. Mindset influences very much the way people think, do things, build things: Product, Service, Policy, Company, Business, HR, Operation, Sales & Marketing ... When you assemble a big mindset Team, you will come up with something big, big ideas, big things. To do big things, we need to ignore small things.

 Blog About Technology + Life + Story. Over a millions people view -> Nice to see you. - We update often.

     <-  Some design & take photos from iPhone, Android phone Galaxy, Tablet. 

- 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)
- We Explain Why Toronto Home Sales plunge 54% but Home Price up in Blog June, 2020  (July, 2020) Click here.

- Intro the Author of Blog Click here - Linked In: https://www.linkedin.com/in/daviddang/  -> I started career BIG 20 y ago as Professor, 50$/ hr, 100,000$ /year.
CEO of multi-billions corporations like: Facebook Mark Zuckerberg, Pay Pal, Tesla Elon Musk, Shopify Tobias Lütke, Apple Steve Jobs, Oracle Larry Ellison, Alibaba Jack Mar, Dell Michael Dell, Microsoft Bill Gates, Airbnb Brian Chesky, Whatsapp Jan Koum, Twitter Jack Patrick Dorsey, Amazon Jeff Bezos ... did not complete CS in University, or dropped out University's Computer Science.
But they know Coding by hobby, passion, self-learning or taking Programming courses to learn software languages like Java, Python, Scripts, Design Database very important. Only CEO Jeff Bezos graduated Computer Science in University. However, all of them had Start-up's Entrepreneur's Mindset & Spirit, hi-tech Passion, Innovation like I do. They build the best hi-tech software muti-billion company without Computer Science Degree. We need diverse Professor with real Experience, Entrepreneurs, Start up mindset. 

" - Few years ago, I was teaching and preparing materials, sitting in office with full of papers, reading materials, simple test, books. Now, new generation of Professors involve Start-ups, Entrepreneurship spirit -> Which will inspire students to create Start-ups, be Entrepreneurs. Very important. As we learn story of multi billion software company, it is is Start-up, Entrepreneur, Ideas, Innovation important. We need to change traditional mind set about software, technology. Study for working but not for a piece of paper."

NOTE:  In College, it considers Work Experience, teaching students to write Coding, Programming, Database, Mobile App, Gui Screen Interface, Build Software, App ... Not focus on Theory of Computer Science. That why you see a lot students in Computer Science University come to Colleges to learn Programming, Coding, Database, Mobile App, Design GUI Screen Interface.., not Theory, or drop out CS University, because Theory of Computer Science seldom applied in reality. That happens to CEO of muti-billions software corporations. In software business, good Coding, Programming, Database + Ideas + Innovation + Entrepreneur Mindset, Start-up is most important.
-> CEO Mark Zuckerberg dropped out Computer Science University, built Facebook, because he liked Social Media Connection and knew Coding.
In early days of Facebook after it started 2 years, with few software engineers, at that time big multi billions Yahoo wanted to buy Facebook 1 billion dollar, but rejected by Mark Zuckerberg. Microsoft invested hundreds of million dollars. They are big, ten of thousands of programmer employees, but could not build themselves a Social Media application. While a dropped out student could build.
-> CEO Shopify, an Immigrant Canadian Tobias Lütke, his bio, click here learned programming at grade 10, 11 high school only, no University, wanted to sell snowboard like small business, retailers. So he built Shopify, a Software, App for small business setup Store Front sell online
(like Office Product) including E-commerce, Cashier Register, Print Receipt. The main difference between Office and Shopify is that Office allows business modify its own Software while Shopify is like a framework, fix, can't chance. For example, Office like Have Own Home. Can chance what you want. And Shopify like Have Condos in Apartment, fix, can't chance. Only Shopify can change, add on features. Both software share the same application are: Business can setup Store Front, In Store Order, E-commerce, Cashier Register, Print Receipt, Pick-up, Delivery... Shopify now market value 175 Billions dollars, bigger than one of top 5 bank of Canada, CIBC Bank stock market value = 50 B. He had no CS Degree. But knows Programming. Oracle Larry Ellison, Alibaba Jack Mar, Apple Steve Jobs... A lot stories like Mark Zuckerberg, Tobias Lütke, they are good Coding + Innovation + Ideas + Entrepreneurship Spirit, Start-ups. Story from many Start-ups build muti billions software corporation without CS degree. There is an increasing of immigrants -> also increase diverse students 40% - 45%. However, diverse Professors around 10%, because not many diverse Professors. Need to attract more diverse Professors. Here is example of a diverse Professor' s Linked In (not me, the Author). Click here.

- Jack Ma is already quitting Alibaba to teach for a while. Before Alibaba, He was an English Teacher. He finished Bachelor of Art at Hang Zhou Normal University in 1998. He applied jobs but was rejected all, even for a restaurant server at KFC. Then he became English Teacher with salary less than 1$ / hr = 160$ /mo = 1920$ / year in 1998. While in 1998, my salary 50$ / hr =100,000$ / year. Jack Ma understood that he could not be rich when working for some one. So he started up a business, Alibaba. Be Entrepreneur. Now, rich, he went back teaching. - Why does he want to teach? - For the love of teaching, hobby. Do something you love.
- We tell you Story of Jack Ma, and many Millionaires, Billionaires hi tech software Entrepreneur, it is Entrepreneur spirit, Ideas, Innovation helped them to build billion company, and become rich.

- How BIG is your Dream? How BIG is your Canadian Dream? Click here. (Udate: Jan, 2021)
Become A Millionaire. Can you dream BIG? - Click here.
(Update: Dec, 2020) -> "Explain why Toronto Home has paid already salary 150,000$ / year for 20 years" - Says A Scientist Professor -  " It doesn't matter How Much you Make. How Much you Have that counts". For Example, you made 50,000$ / year. But after spending, minus for Tax + Rent + Food + Car + Insurance, Phone, Living Expensive, Child Care, Travel, Debt... You Have 6000$ / year that counts. 6000$/year as example depends on each person spends. But you have to pay Tax, Rent, Food, Phone....
- Toronto Home Latest Data in New Year Jan, 2021 - Click Here  

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 millions, 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:
We deliver Office software thru local Consultant world wide.
They are also professional software Developers. So that they can help you Modify, Technical Setup, Training. Contact your local Consultant.
Contact: netthruoffice @ gmail . com -> Must have Subject : Investor or Customer. All in-one Office for COVID-19.

Office helps businesses affected by COVID-19. Total value = 250,000$
We give away 100 Office software to businesses that are affected by COVID-19. Total value around 250,000$.
A business owner said: - COVID-19 affects alot on small businesses. Today, we need to be smarter :  "Smart business, Digital, fast & efficient, large scale, reach out customers every where online, in-store, mobile" in order to survival in new normal COVID-19 Social Distancing. Office helps us to manage smart business better online, in store, pick-up/ delivery, In store Order, Online Order, Cashier Register, Order Management, Mobile Order, E-commerce Order All-in-one Office System. Good bye Cashier Machine only doing Cash Register.

" - We've heard from a number of start-ups and tech firms that are unable to access support programs because they don't yet have revenue or are in the early stages of development and are particularly vulnerable to the impacts of COVID-19. Innovative, early-stage companies that are unable to access existing COVID-19 business support are now able to apply for funding under the National Research Council of Canada's Industrial Research Assistance Program. " This message from a MP (Member of Parliament Canada) we want to share with start-ups, early-stage companies.
- Canada opens to Canadian Scientists of all kinds of backgrounds, and provides them same access to equal opportunity, and their contribution to society.

- 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 January, 2021 continue...

Begin New Year 2021. The City of Toronto is in state of emergency, in lockdown. We are beginning in 2nd wave of COVID-19, begin of the dark winter 3 months Jan -> March. Toronto Housing Market for a whole year 2020 is already has Data.
Home Market in Toronto, and 5 biggest Cities, Montreal, Ottawa, Vancouver already released in January 2021
The Summary of Average Home Price for the whole year 2020 in City of Toronto: 1,000,850$ up 117,470$ last year 2019, summary for whole year = 883,380$. City of Toronto Home Return On Investment (ROI) more than Ave return every year 65K -> 75K.
- In GTA Summary whole year :
929,699$ up 110,420$ compare to last year 2019, summary = 819,279$ .
- Home Sales up in record this 2020 year. Up =
64.5% compare to last year  2019.
- In Toronto, Detached Home or Single Family Home is most demand type of home. Both Price and Sales up in record.
- In Vancouver :
1,047,400$ up 5.4% compare to 2019 - Home Sales up  = 53.4% compare to last year  2019.

NOTE: This is not every months of 12 month ups/downs Price, not 12 x Price of Year-to-Date price. This is summary a whole year Price. Home price ups/ downs 12 months, but only Summary Price is a whole year tells Home Price of a whole year 2020. The final Home Price of year 2020 is 1,000,850 $ finally.

In Jan 2021, Summary Data Ave Home Sales & Home Price of Toronto 2020.

Home Average Summary Ave Home Price for 2020 Last Month Nov, 2020 Summary Last Year, 2019 Summary compared to last year
City of Toronto Average Home Price
Toronto 9.6m = City of Toronto 3 m + GTA (District around Toronto) 6.5 m
- City of Toronto Population 3 m. Center of Financial Hub, Stock Market TSX, Big Banks, Gov Agencies. - City of Toronto is Capital of Ontario biggest Province. Its Municipalities: North York, Etobicoke, Downtown, East York. Toronto is multi-culture more than 100 nationalities & languages. Next year 2021, 401,000 Immigrants come to Canada, most of them will settle in Toronto. Hundreds of thousands people look for place to live, which pushes the Demand for Housing in Toronto. Click See Map.
$1,000,850$ No need
Summary Price Last year
Profit = $117,470
More than average returns 65K -> 75K every year. 65K -> 75K equals to salary 150,000$ /y returns.
1 x Home = 150,000$ / year salary return
2 x Homes = 300,000$ / year salary return
3 x Homes = 450,000$ /year salary
  return "
For example; You make 50,000$ / year. But after spending, minus for Tax, Rent, Car, Insurance, Food, Debt, Restaurant, Travel, Misc Spending, Phone... you have 6000$/ year return (as example. maybe more). That counts 6000$ / year not 50,000$.
It doesn't matter How Much you
MAKE. How Much you HAVE that counts. Millionaires make big money by brain.
Detached Home
A Home stand alone on street. Size, area same as Semi Detached. Not bigger. In Canada, people like privacy, stand alone. That's why expensive.
Detached: Click here
Price up 12.1%
Home Sales Up: 4.1%
Summary Compared to last year  2019
No need
Summary Price last year 2019
$ 1,318,953

Profit  =  $151,904

Before COVID-19, In Feb, 2020 Detached Home = 1.48 millions.
Post Lock Down COVID-19
, In June, 2020, Detached = 1.52 million dollars.
At peak, Detached Home in Toronto = 1.56 millions dollars
Semi-Detached Home
2 Home attached, not separated on street. Size, area same Detached home.
Price up 11.6%
Home Sales Up: 11.7%
Summary Compared to last year  2019
No need Summary Price last year
Profit = $161,123
(most profit in 2020)

Pre COVID-19, In Feb, 2020 Semi-Detached Home = 1.20 millions.
Post Lock Down COVID-19
, In June, 2020, Semi = 1.29 million dollars.
At peak, Semi Detached Home  = 1.33 millions dollars
Town Home
Home is not on the street like Detached, Semi Detached.
A Community, Village of Home, a lot of them, hundreds, thousand built close together. Some Community Home including sharing swimming poor, school, gym ..like a Village. 
Price Up
Home Sales Up: 5%
No need Summary Price last year
Profit = $67,204
Pre COVID-19, In Feb, 2020 Condos = 846,465$
Post Lock Down COVID-19, In June, 2020, Town home = 853,339$.
Apartment, including sharing swimming pool, gym ...
Price Up 6.3%
Home Sales: -6.7%
No need Summary Price last year
Profit =  $39,921
Pre COVID-19, In Feb, 2020 Condos = 722,675$
Post COVID-19, In June, 2020, Condos = 672,465$.
Average Home Price
GTA = Greater Toronto Area. Suburban Districts outside of City of Toronto. Population 6.5m.
: Mississauga, Vaughn, Markham, Brampton ... Click See Map.

Home Price up: 13.5%
Home Sales up: 8.5%
No need Summary Price last year
Profit = $110,420
Compare to last year
----------------- Old Data -----
GTA Region's Ave Home Price
Current its Ave Price =
GTA is big, 6.5m population. It divided few regions:
Durham Region:754,893$
York Region:1,001,800$
Halton Region:929,000$
Peel Region:894,188$
1) In time of COVD-19, City in lock down, empty street, people work from home. People move out of Condos Downtown to Suburban outside City. They look for big space Home, backyards, thus push Demand for Home, and Price high.
2) They look for Home big space. But Semi, Detached Home in City of Toronto so expensive. Thus they move out the City to Suburban.
GTA Detached Home $1,063,456
Price Up
Home Sales Up: 18.3%
No need Summary Price last year
Profit =  $137,653
Compare to last year
Less than Summary Semi Detached Home City Toronto 
Less than Summary Detached Home City Toronto  $415,164

Important News in 2020
1) Interest Rate record low 0.25% thus Mortgage Rate very low in record is the main reason for the Home Price & Home Sales in record. Then Gov's COVID-19 Benefits package helps people and businesses thru COVID-19. Then low Supply Home. Then pent up Demand of March, April, May in first lockdown.
2) Semi Detached is the most profit in 2020. Home Sales also up. See Data -> Look at the last Profit column
3) GTA Detached Home
both Home Price and Home Sales the most Demand in 2020. Because people move out the City of Toronto to suburban GTA out side the City of Toronto that becomes ghost town. Restaurant, Theatre, Head Offices, Banks, Gov Agencies closed. Condos in the City also less Demand. Because people also move to GTA. GTA Homes cheaper than City of Toronto.
4) COVID-19, City of Toronto ghost town, people need home because they Stay-Home, Work-from-Home, is the main reason Condos in the City and Home in GTA on Demand, Home Sales & Home Price up the most.
5) Ontario, Toronto is currently in State of Emergency,
"Stay-Home" Order because of COVID-19 in 2nd wave. Could be untill Feb, 2021. (Jan 15,2001)

We continue posting more Data soon.

Update December, 2020

A middle class Toronto said: " Using Data and your backgrounds as Scientist, you make sense Toronto Home good. I can see Home value. You make me want to buy more Homes in Toronto. Thank You for advice.
Answer:: " It is not How Much you MAKE. But How Much you HAVE that counts". For example, you MAKE 50,000$ / year. But after pay for Tax, Rent, Phone, Restaurant, Drink, Living Expensive, Travel...you HAVE 6000$ (more or less as an example) RETURN that counts. You HAVE 6000$ NOT 50,000$. Invest in Toronto Home Market returns on investment (ROI) that I have proved every year 65K -> 75K, equal to ROI of salary 150,000$ / year. This year 2020 returns ROI 116,000$. Only 10% of people in the world have salary 80K. A Home in the City of Toronto ROI (Return On Investment) equal to 150,000$ double salary of 80,000$. Lucky you live in the City of Toronto. However, you need at least 200,000$ for Deposit, and good job salary 100,000$ / year, a salary of Professor. Choose LOCATION is #1. In Canada best LOCATION is: 1) Toronto 2) Vancouver. Next year 2021, and may years to come, 401,000 Immigrants come to Canada, most of them settle in Toronto. Rich Immigrants Buy home. Poor Immigrants Rent home. Both Buy or Rent is pushing Demand for Housing. That is special characteristic of Toronto that other Cities don't have. As Scientist we see thing that common people don't see or don't understand, because they don't know how to research Data, collect Data, don't care, don't use the DATA or NUMBER."

- It is not BIG home, SMALL home, TYPE of home, it is LOCATION, WHERE you live. A Semi-Detached Home in City of Toronto is 110,000$ more expensive than Detached Home in suburban GTA (Data).
Home Ownership: very important. Usually people Buy Home low Deposit less than 30% on mortgage at least 30 years, some people 35y, 40y... You bought home 15 y ago or since 2006, you only 1/2 road. If your mortgage 4000$ / month -> You in mortgage debt 4000$ x 12 m x 15 y =  720,000$ in Mortgage Debt. Buy Home, need Deposit at least 20% to SAVE hundreds of thousands dollars of Interest Payment, shorten a lot years of Mortgage.

- This 'older millennial' around 40s has Salary of Professor 105,000$. Can't Buy Home in Toronto. WHY?
- Buy Home in Toronto, need salary 130,000$  for monthly mortgage + 20% deposit 250,000$ -> YOU RENT
- Even if you have money for Deposit 250,000$. But do you have the salary 130,000$? -> YOU RENT
- 20 year ago Ave price
217,000$ small mortgage, small salary. Now A Million Dollar, big mortgage, big salary -> YOU RENT. To Buy Home, need Salary + Deposit. Income or Salary proves to afford monthly payment.
- A couple middle income like both Engineer, or Teacher salary 60,000$ each. OK. But do they have Deposit? - Borrow relatives or parent millionaire for investment. OK. -> A lot in Toronto.
Have 250,000$, need Salary of Professor 50$/ hr = 100,000$ / year, work hard for 12 years. All about Data. See Become A Millionaire - Click here. We Scientists TALK DATA.
Salary needed to Buy Home from CNBC: https://www.cnbc.com/2019/06/11/salary-needed-to-buy-a-home-in-major-us-cities.html - See Salary of Professor 20y ago 50$ / hr, 100,000$ / y. See his [ Cheque ]
- In US, can Buy Home with 5%. A big Debt
. A Home 400,000$, Deposit 5%= 20,000$. Carry A Big Debt 35 y.

Home Market in Toronto, and 5 biggest Cities, Montreal, Ottawa, Vancouver already released in December 2020
Average Home Price in City of Toronto for Nov, 2020, year-to-date:1,000,125$ up 116,853$ last year 883,272$.
- In GTA year-to-date :
929,433$ up 111,159$ compare to last year Nov 2019.
- Home Sales up in record 4 months in a row, this Nov month   =
24.3% compare to last year Nov 2019.
- In Vancouver is:
1,044,000$ up 5.8% - Home Sales up  = 22.7% compare to last year Nov 2019.

Toronto Home Price changed every month. Every month, there are 2 prices: 1) Monthly Price compare to last year. Take a year to see difference Price, not like stock Price changed in second. 2) Year-to-Date Price, average of months. But year-to-date is the up-to-date, latest Price of Toronto Home at that time. For example, in Jan -> August, Price changed every month. In August there are was 2 prices: 1) Monthly 1,030,506$, and 2) Year-To-Date 1,020,506$ = Average of Jan + Feb + March + ... Aug month. So year-to-date Price more accuracy, reflects latest Ave Home Price at the time month August. The difference between "monthly Price" and "year-to-date Price" is not much difference giving A Million Dollar Price. Year-to-Date End of this year 2020 returns 116,853$ -> This year 2020, it returns 116,853$ big money, higher compare to last year Ave Home Price year-to-date =  883,272$, more than 50,000$ the average return = 65K -> 75 K every year. The difference Price between Vancouver and Toronto is very small, insignificant giving it is a million dollars.
Toronto, GTA, Vancouver are biggest Home Market, most highest Price in Canada.
NOTE: Salary 50,000$ / year =  2 x Income of minimum wage 14$/hr, you need to work hard 15 years to have 100,000$.
In Toronto, there are people work 10 years still in debt, after Tax, Living Expensive, nothing left, harder to make end meets, just like any city in the world, specially in time of COVID-19. It is not BIG home or SMALL home, or TYPE of home, it is LOCATION, WHERE you live. Even Semi-Detached Home in City of Toronto is 110,000$ more expensive than Detached Home in suburban GTA (Data). A person just bought a Semi Detached Home in City of Toronto last year, he just sold his house in 1 week, made 120,000$ in one year, same as the increase of Toronto Home Price. -> Says, a person who lives in Toronto for 30 years.

In the world, millionaires population are created by Home, 90% their asset in Home. Top 10 Ave Home Price in the world In the time of COVID-19:
1) Canada has 2 Cities
Vancouver #4, Toronto rank #4. Toronto Big City of Canada, 10x bigger than Vancouver, Center of Financial Hub, Manufacture Hub, Big Banks, Stock Market, Gov Agencies, Head Office of big corporations. Then 2) China's Shanghais #3, Beijing #9. 3) Then US's Los Angeles #6, New York #7

Important News in December, 2020:
In General: The usual reasons for Toronto Home Market and Canada Home Market is very hot in Home Sales and Home Price:
1) Record Low Interest Rate.
Thus Low Mortgage Rate. Bank of Canada keeps Interest record low 0.25% until 2023. 2) Low Supply. Low Inventory. 3) Pent up Demand from the 1st Wave Lock Down in March, April, May.
4) Canada Gov's COVID-19 Benefit
346 Billions dollars help 37.8 million population of Canadian Family and Businesses get thru the pandemics. Thus boosting Consumer Spending to highest level.
5) Job Market in the Time of COVID-19, is very good for people medium and high income. These people see no effect by COVID-19. 
While People low income, low wage lost the most jobs.
6) Canada anticipates receiving 401,000 new Immigrants next year 2022. This boosts the Demand for Housing Market when hundred of thousand new comers come to Toronto looking for shelter.
7) Pockets of listings have also cropped up from sellers facing down lingering unemployment from the COVID-19 pandemic, as the period for deferring mortgages draws to a close. More people are Listing to sell their Home because of financial, unemployment, in COVID-19 time, carry big mortgage, as the period for deferring mortgages near close.

Semi Detached in City of Toronto Home Sales ups compare to last year by percent %. But Detached Home by number is still most demand.
- We have seen people bought semi detached Home in City of Toronto last year, just sold semi detached home in few days, 1 week, profit = 120,000$ in 1 year. So fast. The same semi detached home, last year took the previous home owner to sell their home in 2 months. But Detached Home is still most demand, out number selling than Semi.
People are looking for Home:
A Million Dollars Home. Like driving 250,000$ Mercedes car.
For example, Detached Home in Vancouver, and Detached & Semi Detached Home in the City of Toronto is A Million Dollars Home. A Detached Home in GTA always less than a Semi Detached Home in City of Toronto at least 100,000$. Even this month GTA Detached Home up 170,000$, the most jump so far this year. But still less than Semi-Detached in City of Toronto = 110,000$. Follow Data.
2) Affordable less expensive than Detached Home, cheaper Detached Home's Property Tax double,
good for Rental, Property Investment.
3) Not crowded space sharing like Town Homes including 20, 30 homes attached in row, in a Community of many rows of hundreds of Homes, or Condos.

You can always upgrade from Semi to Detached any time, very easy. Because you already have Home with capital. We have seen people upgrade from 1 x Detached Home 1.5 million to 2 x Semi Detached Home = 2.6 million (1.3m x 2) pay same Property Tax for 2 x Semi = 1 x Detached Home. Save a lot of money + increase asset of Home from 1.56m to 2.6 million. 1 x Semi Home to live and 1 x Semi Home to Rent.
20y ago when Home so cheap, people with high income choose to have 1 x Detached Home and 1 x Semi Detached Home. We tell you a Story of a couple working in factory, 5.5$ / hr each, both = 11$ / hr, took them 15 years to save 25,000$ to buy a semi detached home in 1998. While a Professor, 50$ /hr, 100,000$ / year worked 3 months have 25,000$. So easy 20y ago when Ave Home so cheap = 217,000$ not A Million Dollar Home that you could Buy A Home with 25,000$. No Stress Test salary like today, because small loan mortgage. Today needs 250,000$ for 20% Deposit + Salary 120,000$. Stress Test from Bank required to make sure you have money to pay mortgage monthly. It does not discriminate low income. But it makes sure you have money, good salary to pay for high mortgage monthly. That's why 105,000$ is Salary of Professor still not enough.

In December 2020, Ave Home Price of Toronto for month November 2020.

Home Average November, 2020 Last Month Oct, 2020 Last Year Nov, 2019 Compared to last year Nov, 2019
City of Toronto Average Home Price
Toronto 9.6m = City of Toronto 3 m + GTA (District around Toronto) 6.5 m
- City of Toronto Population 3 m. Center of Financial Hub, Stock Market TSX, Big Banks, Gov Agencies. - City of Toronto is Capital of Ontario biggest Province. Its Municipalities: North York, Etobicoke, Downtown, East York. Toronto is multi-culture more than 100 nationalities & languages. Next year 2021, 401,000 Immigrants come to Canada, most of them will settle in Toronto. Hundreds of thousands people look for place to live, which pushes the Demand for Housing in Toronto. Click See Map.
$1,000,125 1,025,925$
Last Month
Last year
Profit = $116,853

Compare to Nov, last year
More than average returns 65K -> 75K every year. 65K -> 75K equals to salary 150,000$ /y returns.
1 x Home = 150,000$ / year salary return
2 x Homes = 300,000$ / year salary return
3 x Homes = 450,000$ /year salary
  return "
For example; You make 50,000$ / year. But after spending, minus for Tax, Rent, Car, Insurance, Food, Debt, Restaurant, Travel, Misc Spending, Phone... you have 6000$/ year return (as example. maybe more). That counts 6000$ / year not 50,000$.
It doesn't matter How Much you
MAKE. How Much you HAVE that counts. Millionaires make big money by brain.
Detached Home $1,477,226  
Price up 8.7%
Home Sales Up: 19.3%
Compared to last year Nov, 2019
Year-to-Date Nov,2020
- Latest Price. Accuracy than each month Price ups/ downs
Last month Oct, 2020
Compare to Nov, last year

Profit  =  $116,980
This month big winner Home Price
Before COVID-19, In Feb, 2020 Detached Home = 1.48 millions.
Post Lock Down COVID-19
, In June, 2020, Detached = 1.52 million dollars.
At peak, Detached Home in Toronto = 1.56 millions dollars
Semi-Detached Home $1,160,911
Price up 8.8%
Home Sales Up: 36.0%
Year-to-Date Nov,2020
$1,145,559 Compare to Nov, last year
Profit = $93,884
Pre COVID-19, In Feb, 2020 Semi-Detached Home = 1.20 millions.
Post Lock Down COVID-19
, In June, 2020, Semi = 1.29 million dollars.
At peak, Semi Detached Home  = 1.33 millions dollars
Town Home $819,752 Up 7.3%
Home Sales Up: 24.0%
$828,090 Compare to Nov, last year
Profit = $56,454
Pre COVID-19, In Feb, 2020 Condos = 846,465$
Post Lock Down COVID-19, In June, 2020, Town home = 853,339$.
Condos $640,208
Price Down -3.0%
Year-to-Date Nov,2020
Home Sales: 0.8%
Year-to-Date = Ave Price / y = Ave Price of many months. Accuracy than Ave Price / m ups/ downs
Compare-to-Last Year = Take a year see real change of Home Price. Not month by month.
Compare to Nov, last year
Profit =  -$19,667
Pre COVID-19, In Feb, 2020 Condos = 722,675$
Post COVID-19, In June, 2020, Condos = 672,465$.
Average Home Price
GTA = Greater Toronto Area. Suburban Districts outside of City of Toronto. Population 6.5m.
: Mississauga, Vaughn, Markham, Brampton ... Click See Map.
$929,433 $968,318
Last Month
Nov 2019 last year
Profit = $111,159
Compare to Nov 2019, last year
GTA Region's Ave Home Price
Current its Ave Price =
GTA is big, 6.5m population. It divided few regions:
Durham Region:754,893$
York Region:1,001,800$
Halton Region:929,000$
Peel Region:894,188$
1) In time of COVD-19, City in lock down, empty street, people work from home. People move out of Condos Downtown to Suburban outside City. They look for big space Home, backyards, thus push Demand for Home, and Price high.
2) They look for Home big space. But Semi, Detached Home in City of Toronto so expensive. Thus they move out the City to Suburban.
GTA Detached Home $1,124,286
Price Up 19.2%
Home Sales Up: 33.6%
Year-to-Date Nov, 2020
$1,123,886 Compare to Nov, last year
Profit =  $180,792
Compare to Nov 2019, last year
Less than Semi Detached Home Toronto year-to-date =
Less than Detached Home Toronto year-to-date: 432,000$

5 biggest Canadian City's Data released in December, 2020 for Home Data November, 2020.

Home Sales up on record on November month across Canada, not just Toronto, GTA, Vancouver.
In the world, millionaires population are created by Home, 90% their asset in Home. Top 10 Ave Home Price in the world In the time of COVID-19:
1) Canada has 2 Cities
Vancouver #4, Toronto rank #4. Then 2) China's Shanghais #3, Beijing #9. 3) Then US's Los Angeles #6 New York #7

5 biggest Canadian City Data for November, 2020 Average Last month Oct, 2020 Last Year, Nov 2019
800,000 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' Price down in COVID-19. But not Toronto up significantly.
- Ave Home $1,044,000 - Price Up: 44,000$ - Home Sales up: 22.7%. Comp Last year Nov, 2019. Ave Home Price Vancouver Not change, compared Sept, 2019. While Toronto Up 20% = $196,000 in Aug, 2020
Ave Detached Home = $$1,538,900 Price up 9.5%, Home Sales up: 27.8% Comp Last year Nov, 2019
- Townhouse  $814,800 Price +5.6%- Sales:+40.1%
- Condo  $676,500 Price +3.4% Sales:+12.2%
Ave =  $1,045,100

Detach = $1,523,800
Townhouse  $813,000
Condo  $683,500
- Ave Home = $1,000,200
- Ave Detached Home = $1,415,400
- Ave Townhouse  $772,800
- Ave Condo  $651,500
Montreal. City of Province Quebec
2nd biggest City Canada after Toronto 1.75 millions population, Montreal University, McGill University.
Ave Home Price $423,400 Price up 17.5%
Detached = $435,000 up 0.6% Y/Y
Condos (Apt)
= $316,000 down 2%
Last month Oct, 2020
Ave Home  =
= $430,030
= $323,500
Ave Price = $360,300
= $350,500
Condos (Apt) = $290,000
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 Ottawa


- Ave Home Price =
$542,721 Price up 20% - Home Sales up 25% Comp Last year Nov, 2019
- Ave Detached Home =
$602,892 Price up 20% Sales up: 26%
- Ave Condo
$361,758 Price up 15%, Sales up: 22%
Last month Oct, 2020

Ave Home =  $550,734
Detached = $603,253
Ave Condo = $368,936

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.
Compared to last year Nov, 2019.
Ave Home =
$423,600 Price up 1.6% - Home Sales up 24.5%
Detached = $492,800 up 2.9% Y/Y
Semi = $395,100 down 1.3% Y/Y
Town Home
= $282,200 down 0.5%
Condos (Apt)
= $245,400 down 1.1%
Last Oct 2020, Ave Home = $422,600
= $489,800
Semi = $394,700
Town =$274,400
Condos = $248,600
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 ...

Compared to last year Nov, 2019.
- Ave Home
$637,366  Price up 13% - Sales up: 28%.
Detached =
$753,641 Price up 14.4% Sales +28.6%
Semi = $562,9898 Price up 30.4% Sales +5.2%
Town Home = $482,901 Price +8.6% Sales +53.4%
Condo =
$400,822 Price up 12% Sales +60.7%
Last month Oct 2020, Ave = $635,301 
- Detached =
- Semi = $539,434
- Town  = $499,641
- Condo = $395,627
Province's Ave Home Price
Quebec =  $340,200
Newfoundland & Labrador =   $281,900
Saskatchewan = $283,371
Winnipeg =
Halifax = $393,461
Alberta = $405,500

We will continue updating ...

November, 2020 

A Scientist says (Update Nov 11, 2020) " - Back to in the early days of COVID-19 pandemic in March, April, I said COVID-19 is Air transmission, airborne, can spread thru air, linger in the air. Thus talking loudly, singing, laughing, coughing could spread the virus COVID-19. Need good ventilation room. At that time, people, doctors did not believe COVID-19 air borne, air transmission. Even WHO's Doctor just accepted this theory in July 10, 2020. See I update the Date in my Blog about COVID-19. In early days, people believed that COVID-19 only spreading thru big droplets, not thru micro droplets, tiny particles, not thru air. Thus Social Distancing good enough. No need Mask, not effective, counter productive, even caused dangerous, because misused of mask, from top Doctors. Minister of Health in Quebec was joking mask, mockery wearing mask. -> See my post on COVD-19. People in Canada and in US did not take Mask seriously. People including Doctor said that Mask protect others only. But I said Mask protect both you and others.
I may be the first one early days of pandemic, wrote in Blog March & April 2020 during 1srt wave, said that: " The reason American got infected COVID-19, wide spread infection, because of Behaviour, not wearing Mask, not taking mask seriously, in a fight against COVID-19 between Life and Death " - Now looking back, it is true. Mask is the most important defence against COVID-19.
=> Now I recall memory about Mask, because the 2nd Wave of COVID-19 is coming in the dark winter just beginning. In the History of Pandemics, the 2nd Wave is the worst, much worst more than 1st Wave, before Pandemics gone. Be careful this darkest Winter coming. We already see in Canada, US, and Europe, COVID-19 cases spike double compared to 1st wave. The winter still doesn't come yet.
=> The Prime Minister of Canada is just calling urgently all Provinces, Cities must do what ever it takes, with total support from Federal, to stop the spread COVID-19
currently spike on record double.
All is about save life. Read my Blog about COVID-19 in April, May. Click here. Including my update the important Date that Mask became important, recognized."

Home Market in Toronto, and 5 biggest Cities, Montreal, Ottawa, Vancouver already released in November 2020
Average Home Price in City of Toronto for October, 2020 is: 1,025,925$ - In GTA is: 968,318$
- Home Sales up in record 4 months in a row, this Oct month also in record in all Oct months =
- In Vancouver is:
1,045,100$ - Home Sales up in record second-best in all Oct months = 29%

NOTE: In 2019, Vancouver rank #4 Average Home Price in the World. In 2020, in the time of COVID-19, most top 10 big City's Home Price dropped property price significantly.
Vancouver doesn't drop price, but its property price stands still. Currently Vancouver's Home Price rank #3 in the World. Only Toronto Home Price increased significantly. Now price same as Vancouver.

In the world, millionaires population are created by Home, 90% their asset in Home. Top 10 Ave Home Price in the world In the time of COVID-19:
1) Canada has 2 Cities
Vancouver #4, Toronto rank #4. Then 2) China's Shanghais #3, Beijing #9. 3) Then US's Los Angeles #6, New York #7

A Scientist Professor, who teaches Data & Computer Science says: " Data & Computer Scientist Scientists collect Data, Analyze Data, we don't use "mouth Data" straight from mouth, such as, he said, she said, they said
. A person He said: 'my Home, my area, my neighbours on my street is 2 millions dollars. Why you used only Ave 1.5 millions?' . As Data & Computer Scientist, we don't pick up some streets, some neighbour's , some expensive areas like Downtown of City, where Home Price of Property very high. We don't use data of my home, my neighbour's home, my street home price. The only Ave Home Price that is used to measure correctly, scientifically, honesty, in fairness for all Cities, all Properties in a City is Average Home Price.
For example,
when measure Home Price in Hong Kong and Toronto, or, in Toronto with Vancouver or with GTA, we don't pick-up multi million dollars Home in Downtown, in some expensive areas, but we use Average Home Price spreading a whole City, in fairness.
Now we can measure in fairness scientifically Home Price of Toronto compared with Vancouver, with New York, with Hong Kong ...
For example,
we can say a City is Rich by a looking at a whole City's population is rich, and
their 90% asset is Home. Not in some rich areas, not population of millionaires, billionaires in that City.
For example,
Compare 100 properties in many areas, we take the Average of 100 properties. While you choose to take the Average of the top 10 expensive properties in an expensive area of your 100 properties. Not play fair.
etween Vancouver and Toronto, Ave Home Price not much difference. But Toronto 9.6m population, its City of Toronto where is Center of Financial Hub, Financial Institutions, Stock Market TSX, Manufacture Hub, Big Head Offices of Banks, Gov Agencies."
A lot of people say: " You use Official Data, Data from big corporation, trusted resources, not mouth Data, he said, she said. No Biases, Fairness, Honesty is #1."

In November 2020, Ave Home Price of Toronto for month October 2020. See above.

5 biggest Canadian City's Data released in November, 2020 for Home Data October, 2020.

Home Sales up on record October month across Canada, not just Toronto, GTA, Vancouver.
In the world, millionaires population are created by Home, 90% their asset in Home. Top 10 Ave Home Price in the world In the time of COVID-19:
1) Canada has 2 Cities
Vancouver #4, Toronto rank #4. Then 2) China's Shanghais #3, Beijing #9. 3) Then US's Los Angeles #6 New York #7

Important News in November, 2020:

In General: The usual reasons for Toronto Home Market and Canada Home Market is very hot in Home Sales and Home Price:
1) Record Low Interest Rate.
Thus Low Mortgage Rate 2) Low Supply. Low Inventory. 3) Pent up Demand from the 1st Wave Lock Down in March, April, May.
4) Canada Gov's COVID-19 Benefit
346 Billions dollars help 37.8 million population of Canadian Family and Businesses get thru the pandemics. Thus boosting Consumer Spending to highest level.
5) Job Market in the Time of COVID-19, is very good for people medium and high income. These people see no effect by COVID-19. 
While People low income, low wage lost the most jobs.

1) Condos sales in City of Toronto dropped to Sales = - 8.5%. People move out of Condos in the City of Toronto. Why?
- People are selling their Condos mainly in Downtown Toronto in favour to buy Detached, Semi Home in suburban outside the City of Toronto. The main reason is that:
1) COVID-19 still active, spike COVID-19 cases, causes Downtown Toronto mini shutdown restaurants, theatres, empty streets.
2) They work from Home in suburban outside City of Toronto. Tens of thousands of people work in Downtown for big Banks, big Gov Agencies, big corporation now work from home.
3) They like Home more spaces. Home in suburban, Detached, Semi detached  still much cheaper than Detached, Semi Detached in the City of Toronto.
Which is pushing high demand for Detached, Semi Home in suburban outside Toronto
For example, Home in GTA much cheaper than Home in City of Toronto. In the time of COVID-19, People leave, sell their Condos in City of Toronto to Buy Home more space and cheaper in GTA.
A difference Year-to-Date, between 1) Detached Home in GTA and Semi Detached Home in City of Toronto = 119,000$
2) Between Detached Home GTA and Detached Home City of Toronto = 430,000$
4) In the time of COVID-19, COVID-19 Benefits 2000$ / mo transition from CERB to new new EI benefit in Oct 3, 2020.
People qualify for 2000$ / mo, for 45 weeks of benefit, who are: full-time Employees, qualify for EI, who already working at least 8 months of their full time, but lost Job by lay off, not by volunteer, not by their fault, nor quit job, now could get near 1 years 48 weeks of Benefit = 2000$ / month. Can't ask your Company for lay off. While Gov encourages Company & Business hiring more people.
For example, people work in Factory, Restaurant, low wage, salary from 14 $ / hr -> 20 $ /hr ...
20$ / hr = 3200 $ / month. After Income Tax = 2557$ / m. Salary 20$ / hour is different with 2000$ / mo EI benefit =
557$ / mo. But salary 20$ / hr must:
1) Work full-time 160 hr/ week + Stress.
2) Work Related Expensive = Car Drive to work Gas + Car Maintenance = 250 $ / mo + Car Insurance = 199 $ / mo + Work related expense like Eat out, Relax, Cloths, Coffee Truck ... 15$ / day = 400$ / mo.
Thus Total Work Related Spending (WRS) = 250 + 199 + 400 = 850 $ / mo.
=> Thus Salary 20$ / hr make less than 2000$ / mo COVID-19 Benefit =
300$ / mo + Work 160 hr / mo + Not safety with COVID-19.
3) Avoid COVID-19. Stay at Home. Less Contact people -> But this is good for COVID-19 prevention, stop spreading.
So people just leave their job in the City of Toronto "crowded space" Condos, and settle "more space" Buy Home cheaper in GTA suburban outside the City of Toronto for
a year of safety, avoid COVID-19 as well. Currently, Data suggests that a 2nd Wave COVID-19 coming, spike COVID-19 cases on record, more than double 1st wave COVID-19, not just Canada, US but in Europe as well, in this winter called as the darkest winter. In the History of Pandemics, the 2nd Wave is the worst, much worst than 1st Wave, before Pandemics gone. Be careful this darkest Winter coming.
=> This only happens to people who leave Condos in downtown Toronto, now move to GTA and suburban outside the City of Toronto. While Detached and Semi Home in City of Toronto are still high demand. All is about COVID-19. But only temporary. COVID-19 ends soon. COVID-19 is the main reason why people buy Home, settle in GTA, suburban. We see such an increase Demand for Home in the month of Oct, 2020. People move out from Condos of City of Toronto into GTA, Suburban outside City of Toronto the month of Oct.
=> A lot of people came from GTA, suburban working in Downtown Toronto, leave jobs, lost jobs because of COVID-19. So they come back their home town. A person lives in Condos in Downtown Toronto said : " - I just lost my job working Downtown City of Toronto because of COVID-19. So I leave my Condos in Downtown Toronto, back to my home town in suburban to buy home and settle.

3) Canada just announced 400,000 Immigrants each year more than average 350,000 / year, will come to Canada. This will push big Demand for Home and for Rent.
4) Canada spent
346 billions this year 2020 on small population 37.6 millions, and next year 2021 at least 300 billions to continue supporting and helping Canadian families and businesses. This helps Economy recovery, and big Demand Housing, as seen Home Price & Home Sales up across country.
- A Canadian family with 2 children, rich, poor, lost income, lost job during COVID-19 will receive: 2 x 2000$ + 850$ x 2 (Child Benefit) = 5700 $ / month for a year since the beginning of pandemic in March, 2020.

Just announced recently. Canada will bring 401,000 / year  Immigrants in 2021, and next many years, increase from Ave 300,000 / year. 
Top 5 Canada needs more Immigrants because:
" Immigrant is the key to Canada's recovery, attract talents, and long term prosperity "  -> Canadian Government.
1) Increase population. Very small population 37.8 million, thus 401,000 / year in 10 years =  42 millions population still small population, compared to rich industrialized countries. Canada high receives Immigrants / year based on population. But still small population compared to G7 like France = 67 m, UK = 66.6m, Japan  = 127 m, German = 84m, US = 331 m.
=> In Toronto,
Canadian non white has
52% of Toronto & GTA population from Official Statistic in 2017. Some Districts in Toronto & GTA has more than 60% of non white.
2) Increase Products & Services, Consumer Spending 65% of GDP, thus increase Economy, GDP. Canadian aging population needs more Immigrants to produce more Products & Services and boost Consumer Spending.
3) Attract talents. Create more businesses. Immigrants brings skills, and finance contribution to Canada. Then Immigrants Buy Home, rent Home help boost more Demand of Housing Market in Canada. According to Immigrant Minister 1 in 3 businesses created by Immigrants.
4) Cost less to have immigrant than to raise a child until 18 years old become productive.

5) Competition, Innovation, Diverse of Ideas.

Canada opens and welcomes immigrants over the world to contribute, to have Canadian dream. Immigrants, Canadian also send money to help their relatives back their home land. For example,  A Story: A Philippino woman in Toronto, she works minimum wage 14$/ hr = 2240$ /mo (while in Philippine 1.3$  / hr) in Hotel, sent money to help her family in Philippine got thru COVID-19. During COVID-19, in Canada, she lost job. She got 2000$/moth COVID-19 benefit for a year. More than minimum wage, because no tax. If she has 3 children, she gets extra Child Benefits = 850$ x 3 = 2550$ /month. This Child Benefits for child until 17 year old. This benefit  is not COVID-19 benefit. Canadian Child Benefit has before COVID-19 for Canadian family rich or poor. US no Child Benefit. Much better than relief benefit COVID-19 in US for a check 600$ or 2000$, just one time, but very difficult to pass. While just Canadian Child Benefit gives to Canadian family for a child until 17 year old more than US's 600$ cheque just one time. Because US population 331 m vs. Canada population 37.6 m.

The Top 5 reasons Immigrants like Canada: Summary life in Canada in few words
1) Rank in Top 5 most Happiness country in the world, while US, Japan ranks in 20s. Canada is 2nd largest country in the world after Russia. But small population now 37.8 m.
2) Canada is a country for immigrants. Canada is very open policy to immigrants, the most diverse country by population in the world. Canadian came from different walks of life, diverse background.
For example;
Canada doesn't care about your different View of Politics, different backgrounds. If you have Talent, Skill, Money, good Citizen, you are welcome to Canada. It needs you.
- Unlike Japan is Homogeneous Society, 99% are same Japanese. Canada, specially Toronto, is Diverse Society. In Toronto, GTA, people come from different backgrounds, different countries. There are more than 100 different coulture to live in Toronto, GTA. Toronto is the first multi culture in the World.
3) Free Health Care, free Hospital, free Doctor to every one gets same treatment, true health is #1, regardless Rich, Poor. Only few countries free Health Care, no need, no pay for Health Insurance, not free in US, Japan, South Korea, not free in most Europe countries, UK, German, France, Italy.

People when good health don't think about when got sick. Not see far, not appreciate Free Heath Care until they get sick, their relatives, their children get sick. That's why Canada rank top 5 country of Happiness to live.
=> According to an International Travel & Health Insurance Agency:
Health Care in Canada very expensive. A non-resident visitor expect to pay up to $5,000 / day in a Canada Hospital for non Canadian double that for the intensive care unit, surgery. In Canada Hospital is 10x more expensive than 5* Hotel.

But for a Canadian cost = 0$. For example, see Doctor, in Hospital, MRI, X-Ray ... Everything cost = 0.0$. Every one, job or no job, rich, poor, poor senior, homeless, gets same treatment regardless rich, poor. No 2 -Tier Health Care for rich and poor. True health is #1. People when good health don't think about when got sick. Not see far, not appreciate Free Heath Care until they get sick, their relatives, their children get sick. In other countries, including US, a lot of people got sick means become poor, cost a lot of money. Rather die because can't afford Hospital.

4) Free Education from Grade 1 -> Finish High School Grade 12. While almost Asian countries must pay tuition fee.
5) Canada Child Benefits + Tax Break for having small children helps a lot Canadian Families, rich, poor, work or not work, income or no income. Every family gets CB / child until a child 17 year old. Not seen in G7 industrialized countries. During COVID-19, a Canadian family, rich, poor, working class, middle class lost job with 2 small children gets: 2000$ x 2 + 2 x 850$ CB / child = 5700$ / month up to a year of COVID-19 Benefit. Benefit COVID-19 started from March, 2020 -> Oct 3, 2020. Now extends to another 6 months. While every Canadian family, rich, poor, work or no work, income or no income, gets CB until a child 17 years old. Money deposit direct into mother's bank account. The purpose of Child Benefit is 1) Help Canadian family 2) Reduce child poverty. 3) Increase population

=> Minimum wage = 14$ /  hour, compared to Cost of Living, Canada is the best in G7.

=> There are more. Like Environment, Air Quality, Transportation, large Streets, High ways, fast Subways, Super high ways.....

Is it true that Canada accept more rich economic Immigrants?
It is true that Canada accepts more Economic Immigrants, Skills Immigrants and Family Unification. But Canada also accepts more refugees, around 15% Humanitarian refugees like Syrian.

When are you no more immigrant and become Canadian?
After 5 years you become Canadian. Need to pass citizenship test. Canadian is Canadian. No difference.

How big is A Canadian Dream for an Immigrant? -> Depend on How Big is your Dream. In Canada, if you are millionaire -> You are on top 4.8% Canadian population. Toronto creates most millionaires more than half in Canada.
In any country, we need to dream big what ever situation. We see people low dream, small dream  -> Easy life, self satisfied. Feel enough, satisfied, happy even don't have anything. We see people with no dream. Dream Big means work harder, try harder, smarter, more challenging, obstacles, people jealousy, life hardship, difficulties... Dream small easier. No hard work. No struggle.

=> Check Social Media Linked In. Almost people have University Degree have Linked In, like resume, CV. If he/ she has no Linked In, then he/ she has no University Degree, no career of Professionals, not Engineer, not Scientist, not Teacher, not Doctor. Linked In also tells you when that person buy home based on their career. Usually, from the day they started career to 10 year later, they can buy home. Today, even Ave salary of Professor 100,000$ / year can not afford to buy home in Toronto that needs Salary 120,000$ + Deposit at least 20%. Use Data. All is about Honesty is # 1. Knowledge is always better.

But, in Toronto, we have seen people started life = 0, no degree, alone, no support from family, no privileges, diverse backgrounds, become Engineer, Scientist, Professor, and Millionaires. We also see immigrants become 1/2 Millionaires, Millionaires as well. Never happens this in developing and developed countries, other rich industrialized countries. In Toronto, you ask an immigrant what do they want? - Most of them will answer  :" I may work in Factory or minimum wage job to make end meets. But I want my children to become Engineer, Scientist, Teacher, Doctor ...Anything is possible here. "
Let's jump out of small well, see big sky -> Welcome to Toronto, a big City where more than 100 countries, 100 different languages of people from around the world choose to live in Toronto for their second chance of life, and Make Big Dream. These Immigrants are the best in their country come to Canada, Toronto, work hard, only one goal: Be Educated, Be Rich, Be Millionaires. Think Toronto is a Global Olympics, not Local Competition. A lot of Canadian diverse backgrounds become Engineer, Scientist, 1/2 Millionaires, and Millionaires.

But not all Immigrants are success. Empty. No dream.
No where
in the World is heaven, easy for success.
Not comfort zone. In Canada, Toronto, to be Rich -> Need Home. No Home -> Never Rich.
A Scientist Professor has proved that you will not millionaire if don't meet the condition: 1) 150,000$ Income or Salary /year for continuously 20 years OR 2) Have A Home in Toronto at least 20 y.
- Life in Canada, Toronto, in US, in Europe, in Japan, in industrialized countries is not easy to get rich, not easy become a millionaire. ...
A Story: An immigrant lives in Japan for 10y. During COVID-19, she doesn't have enough money to live. Japan minimum wage, like South Korean, China very low. She asked family back home sending her money to live. This story is different story a Filipino female in Canada, worked in Hotel, lost job. She got 2000$ COVID-19 benefit for a year. She sent money back home to help her family.
In Canada, Toronto unless you have Home at least 20 y, you will not become millionaire. Unless high salary like Professor, you bought Home, sign contract at least 30y, 35y, 40y...
- If you bought home 15 years ago, since 2006, you are only 1/2 road, still Bank's home, because the Bank is like investor, stake holder lend you money to buy home.
Assume your mortgage monthly = 4000$ / month, include interest payment, the big debt, mortgage debt = .4000$ x 12 mo x 15 y =  720,000$. Your mortgage Payment monthly most 70% pay for Interest Payment because small Deposit. That's why buy home, need at least 20% Deposit a requirement.

NOTE: Case Study 1: A person buy home 1.5 million dollars after 10 years in 2011, deposit 20% = 300,000$. He said: " I have new House 1.5 millions Home (still Bank's Home, only 10 years. Need at least 20y). Not Honesty. Exaggeration!
But actually his asset = 300,000$ not 1.5 millions. Need work hard at least 25 years more. Scientist calls this is Behaviour Economics. Human, "Greed & Fear", likes to focus on Gain = 1.5 million, not yet Gain, at least 25y more to pay mortgage. But not on Lost = 1.2 millions Debt, current Debt need to pay.

Case Study 2: A person bough home 15 years ago, in 2006. His career is not Professor with 100,000$ salary. He bough home with small Deposit. He still has at least 15 years more on contract. Assume his mortgage payment 4000$ / month include Interest Payment. Thus he still owes mortgage Debt = 4000$ x 12 mo x 15 y = 720,000$ debt .

Case Study 3: Today in Toronto, Ave Home = A Million Dollars Home. Detached Home = 1.5 m, Semi Detached = 1.3m. Salary of Professor 100,000$ can not afford Home in Toronto -> Unless you have a whole Family all together Buy Home = 4 Salary. OK. But you still need to have at least 150,000$ for 20% Deposit. Your Contract at least 40 years to pay off. Better than Nothing.

That's why
*Home Ownership* very important. How many years do you already Buy Home? Mortgage Debt.
  Have Home like Have Business. Need a whole Family working for Home. No Home = Nothing. Try your best.

- 20 years ago, Ave Home = 217,000$, after Deposit, you have mortgage loan around 150,000$ -> 200,000$. Very small but still take 20y to pay off.
- Today, Ave Home = A Million Dollars Home. After Deposit 20%, you have at least 800,000$ -> 1 million. How long to pay off? - Do Math grade 5.
- It is not Type of Home, Detached Home, Semi Detached Home, it is * Home Ownership* -> How Long to Have Home? Mortgage Debt. Have Home big responsibility.
- Mortgage Debt more important than Credit Card Debt. Must pay on time every month. Can't delay -> Lost Home. Take care Mortgage Debt first of all for 30 years. Even hunger. Lost job -> Lost Home, even after 10y have home.

- Living standard is very high. After Tax (usually 20% - 25% of Ave Income 50K/year -  High Income pay more from 30% - 40%) + Miscellaneous deductible like CPP, EI.., then Rent, Car, Insurance, Phone, Restaurant, Grocery, Travel ... you have not much left. 20 years ago Ave home = 217,000$, minimum wage factory around 5.5$/ hr, Engineer, Teacher 15$/ hr. A couple working in factory in 1983, after 15 years save 25,000$ to buy home with 10% Deposit. While a Professor, 50$ / hr = 100,000 $/ year, in 3 months save 25,000$.
- Today, Ave home in Toronto
A Million Dollars Home, salary of 100,000 $ = 50$ / hr can not afford to buy home in Toronto, required 20% Deposit = 200,000$. But in US, you can buy home with 5% Deposit. In Texas, Houston, people buy home Ave = 250,000$ with 3% Deposit = 7,500$, at least 40y to own home. After 20y, still bank's home. The problem of Buy Home small Deposit is that you will pay extra Interest Payment few hundreds thousands of dollars. The 250,000$ house, he could pay 3 times more like = 750,000$. The different between 10% Deposit and 20% Deposit could be = extra 350,000$ dollars more. And take more years to pay mortgage. The sales agent doesn't tell you because the small deposit, the agent, the bank make more money.
one of biggest Cities in the World, population 9.6 m, bigger than Paris, London, more than New York City 8.5 m, where Immigrants, the best in their country, come to Toronto to make their big dream for themselves and for future Generation. Toronto, Ave Home Price rank #4 in the world, built by Immigrants since the beginning of the City, the only multi culture City in the world. But there are obstacles, barriers, biases, challenging, difficulties just like in any City, your City. However, a lot of Immigrants started life =0, overcome challenging, obstacles, become Scientist, Engineer, even Millionaire. Not for people self-satisfies in comfort zone, not heaven, not easy life, not like on TV. Toronto is like your city, but it is diverse of people, 100 nationalities and languages, not homogeneous 99% same people same language, same culture.

A Story: A Canadian Scientist Professor, started life = 0 at 18 alone, grew up in Toronto 30y ago. He already achieved his dream for 20y: From Factory -> A Canadian Scientist Professor Millionaire in Toronto. => Professor David. D Click see his [ Cheque ] 20 year ago, 50$ /h, 100,000$ / year. Which is equal to salary 250K /y in today money. When Ave Home Toronto = 217,000$. 20 year ago, Factory minimum wage = 5.5$ / hr. When today, Ave Home Price Toronto = A Million Dollars Home, Factory minimum wage = 14$ /hr. Home up 5 x time, Ave Home 217,000$ x 5 = 1,085,000$, Detached Home 1.5m, Semi Detached Home 1.3m increased 5 times more than 20 years ago, more than Ave Home Price. While minimum wage Salary up from 5.5$ -> 14$ = up 2.5x. Harder Buy Home Today increases 5x than 20 year ago although Salary increases 2.5x. If adjust Salary correlation to Home, 20 year ago 100,000$ / year = today 450,000$ / year. 20 year ago, if he started as Factory Worker 5$/ hr, or Teacher, or Engineer 15$/ hr, he would wait for 10 years later enough saving for Deposit to buy home. Then Home Price in Toronto already double price in every 10 years. He could miss. That's why, education will improve your career, salary.
He still keeps working next 20y on the journey of life. He is not satisfied. Last year 2020 was disappointed, stress. Hope this year 2021 will be better. For Millennial from 29 -> 39, dream big, try hard to achieve the best, because all the best is achieved in this age, when you are still the young, the restless, the ambitious, the energy. When you are in 40s, it will be harder.

Dream big even hopeless. Have Hope. Have A Dream.
Why people start up a business? - Because they dream big. One day their start-up will be big, multi-millions, billions dollars. A lot of challenging, difficulty, hard work. Just Have A Dream. Begin with having a dream. Success or not, is not important. The future is not to tell. Whatever will be, will be.
Some people think life is simple, food to eat, good enough. I don't need Money, Title Scientist, Engineer, Doctor.., Rich, Car, Home... They are Material Life will make you work harder, try harder, smarter, suffering, hardship. I satisfied with my life simple, no Home, no Bills, no Car = Nothing worry. Why should I choose hardship, difficulty, suffering? -> This is Have No Dream. Hopeless. When people Have No Dream, it becomes hopeless, no goals, no future, miserable. If People in the society think like this, then you will not build a strong, better society, because people don't want anything, no progress, no better future. There will be no Scientist, no Teacher, no Doctor, no Engineer.. Because people don't want Title. People will not work harder because they don't want Money -> Thus less Products & Services are made and produced.  People rather Homeless than work hard 20y to have Home. People want to have fun, satisfied, simple, happy. Poor people every where because they don't want Rich.
According to Scientist
, material life like Money, Car, Home.. will make people work harder, more money rewarded, Hard work & Reward, richer, and productive, produce more. Because when you have Money, Car, Home, you have no choice but work harder, improve you career, more money. But hardship is rewarded, like Have A Home, not Homeless, more Money. Just Dream A Home makes you work hard 20 years non stopping. The Reward is Home, Money, Something. Money is a result of Handwork & Reward.
=> When people don't want anything. They don't Have A Dream. Not talking Big Dream. When you say I don't want: Money, Title, Home.. -> You need to Have A Dream.  
When I started life =0 in Toronto, homeless, worked in factory 5$ /hr, no degree, I had dream to become an Engineer, rich, improve my life better. The salary of Professor 50$ / hr = 100,000$ / year helped buy home in 3 months = Same the salary of factory couple 5.50$ / hr combined, saving
25,000$ for 15 years.
People want big dream, rich, success. People like success story of immigrants  (I am not an immigrant) started life = 0, inspired them. Specially Toronto where diverse population more than 50%.
If you are an immigrant, new comer, after 5 year, you will become a Canadian after passing citizenship test. And after 10 years, you adapt well in to society like any Canadian.
I like to tell story. Still continue next 20 years to contribute society.
In Toronto, if I can do it. So do you, where ever you live. You maybe a small town person come to live in big city alone. Started life = 0, no family, no degree, no support.
Toronto is not different with your City. You will make it. No worry. Good luck. This I share with you story from my life experience in the big city Toronto.


October 2020

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
up 82%, this Sept month up 50%.
A person bought a semi detached in City of Toronto last year, just sold their semi home last month Sep, 2020 after 1 week of Listing, profit = 125,000$ after 1 years buy home. While Ave Semi Detached up = 76,440$.
GTA Sept, 2020, Home Price = 960,772$ 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
The Supply issues - still lack of Home Supply -> Supply decreased
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.
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
Economic Improvement. Job Growth. Canada sees much economic improvement. Home Price and Home Sales up across Canada.
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, not enough EI Insurable Hours. 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, the minimum of weeks, from Oct, 2020 -> April 2021. According EI Benefit based on Unemployment Rate of  at least 13.1% -> 14%.
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
270$ / week (after tax) before COVID-19, not 500$ / week in time of COVID-19

Later Gov can always change EI Rules if Economy improves. Or The New Government could change the Policy.
- 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 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 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.

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.

=>  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 =

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 MunicipalityNorth 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.

- How to Become A Millionaire. But don't forget the Debt. (Update Nov, 2020)
Millionaire =  Total Asset of Home + Car + Jewellery + Cash + Investment ... - Total Debt
(Credit card Debt, Mortgage Debt, Whatever debt ...).
In fairness and honesty.
For example,
1) A person bought Home in 2005 with small Deposit 10%, still has 15 years more to pay off home. Giving mortgage 3000$ / mo -> Thus 3000$ / mo ( Include Interest ) x 12 x 15y = 540,000$ in debt. Need work hard 15 years more.
2) A person shows his home, said: "- I Buy this Home 1.5 millions dollars." -> Need to know: 1) How Much Deposit 2) How long already Ownership. At least 20y.
=> Actually, Total Asset = 300,000$ of 20% Deposit. Total Debt = 1.2 millions. Before gain 300,000$, now lost 1.2 millions dollars. -> Big Debt to Nothing. But good debt. Still better than pay RENT = Big Debt for Ever.
NOTE: This is not small Credit Card debt few thousands. Mortgage Debt usually hundreds of thousands dollars, you need to pay on time, or lost your home. This Scientist calls "Behaviour Economics". Human Behaviour focus on Gains
(1.5 millions, not yet), not Lost (1.2 millions), Greed and Fear.
=> Not yet gain 1.5 million dollars. Need working hard at least 35y more for such big mortgage
1.200,000 $Go back 20 years ago when Home so cheap Ave 217,000$, after high Deposit, mortgage around 150,000$ -> 200,000$ Still take 20 years to pay off. Because of almost payment / month like 75% for Interest Loan.
That's why ask
What were you doing 20 y ago when Toronto Home so cheap? "
=> Question :" Why in Toronto, people can afford A Million Dollars Home, like drive 250,000$ Mercedes? "
=> Answer: "- According to "The Wealth Effect Theory" = Wealth Creates more Wealth. Higher Home Price -> Create more wealth for people, who now can afford higher Home Price -> More Demand for home. Thus push home price higher => Thus People more Wealth because of higher Home Price -> Thus more Demand for Home and Push Home Price higher -> In circle. 20 y ago 217,000$ Home -> 10 years later 500,000$ Home -> Now 1,000,000$ Home -> Still more Demand for Home. Sales on record in the time of COVID-19.
This calls "The Wealth Effect Theory explains why people in Toronto can afford high Home Price. And why Home Price keeps pushing higher, double every 10 years, as proven by Data by a Data & Computer Scientist Prof.
Not worry about high Home Price -> More Demand. But worry about lower Home Price -> Less Demand.
The Wealth Effect Theory says that this Wealth is spreading thru society, community. Benefit for all people.".
Toronto is where rich middle class, millionaires live,
rich by Home. Data shows people buy home in Toronto: 55% Rich Middle Class, Millionaires, 25% Immigrants, 15% Millennium a lot got help from the 55% of rich middle class, millionaires, only 5%  Foreigners. "

The Wealth Effect Theory combines Economics with Data Science from the Author of this Blog.

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 e
ither 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$ in Aug, 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.

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.
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. But don't forget the Debt. Millionaire =  Total Asset - Total Debt. In fairness and honesty for all. (Update Oct 31, 2020)
For example, a person still have 15 years more to pay off home. Giving mortgage 3000$ / mo -> Thus 3000$ / mo x 12 x 15y = 540,000$ in debt. A person shows his home, said: "- I buy this Home 1.5 millions dollars, a new home." -> Actually, Total Asset = 300,000$ of 20% Deposit. Total Debt = 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 dollars. 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 ExacerbationNot scientifically. Show me the Data please -> All Official Data provided available ** right here ** this Blog. Scientist speaks Data, no biased. <=> Honesty is #1  

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.

All Data provided are "Official Data", not "mouth Data, he said, she said, they said Data" => So that you can verify.

- It doesn't matter How Much  you MAKE. How Much you HAVE that counts
For Example,
you made 50,000$ / year. But after spending, minus for Tax + Rent + Food + Car + Insurance, Phone, Living Expensive, Travel, Debt... You Have 6000$ / year that counts, not 50,000$ / year.
A Scientist Professor: " - Toronto Home in the past 20 years returned profit 65K -> 75K / year, equal to salary of 150,000$ / year. This year 2020 in August,Toronto Home returns higher last year near 200,000$ compared to 2019 last year. More than 3x of 65K-> 75K. Thus :
1 x Home = 150,000$ / year salary
2 x Homes = 300,000$ / year salary
3 x Homes = 450,000$ /year salary

To Become A Millionaire 2 choices:
1) Have salary 150,000$ continuous 20 years.
2) Buy A Home in Toronto. Keep it 20 years.

See how the Scientist Professor proves below.

Started life = 0. No Inheritance, no Help from family, no Privileges.
Millionaire  By Population:
- In Canada, Millionaires in 4.9% , US 7.8%, 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 Millionaires in 9.6 m population. Richest country in Asia Singapore around 197,000 millionaires.
-> Research shows that
a strong correlation between Home Price and Millionaire Population. Toronto population 9.6 millions, and Average Home Price is A Million Dollars Home rank #3 in the World, same as Vancouver.

Millionaires make big money by brain.

- In US, you can Buy Home with 5%. A big Debt. A Home 400,000$, Deposit 5%= 20,000$. Carry A Big Debt 35 y.
- How to Become A Millionaire. But don't forget the Debt.
Millionaire =  Total Asset of Home + Car + Jewellery + Cash + 401K + Investment ... - Total Debt
(Credit card Debt, Mortgage Debt, Whatever debt ...).
In fairness, no biases, and honesty #1.

Example: You Buy Home 10y ago in 2010.  Still have 20y mortgage left. Giving your mortgage 3000$ / mo include interest. Thus your debt is: 3000$ x 12 m x 20 y = 720,000$ Debt - No Bias, Honesty.
- Home Ownership: very important. Usually people low Deposit less than 30% on mortgage at least 30 years, some people 35y, 40y... You bought home 15 y ago or since 2006, you only 1/2 road. If your mortgage 4000$ / month -> You in mortgage debt 4000$ x 12 m x 15 y =  720,000$ in Mortgage Debt.

I still work hard next 20 years.
Follow the Data and the Rules I show you please.
Use your brain
. No listen to non sense mouth, no Data. No good for you.

Millionaires are good people. They do charity more than any group of people. They are not jealous because you are rich. They want you to be rich. You deserve -> Become A Millionaire.
(Update latest Nov, 2020)

My Advice as Data & Computer Scientist,
real experience:
1) A Canadian, 30 years Life Experience to live in the City of Toronto.
Started life = 0 @ 18, poor, alone, no family support, homeless, no thing, no degree, no privileges. Facing all kinds of obstacles, challenges, biases, from Factory -> Scientist Professor, Millionaire in the City of Toronto.
What were you doing 20 year ago when Toronto Home so cheap?
Since 20 years ago, I started career early 20y ago as Professor 50$ / hr,
100,000$ / year in Toronto. Back 20 y ago, Ave Home in Toronto 217,000$. Today A Million Dollars Home. Factory, minimum wage 5.5$, today 14$ increased 2.5x. So my salary 20 year ago, today is 250,000$ / y. If correlation Salary with Home Price increased 5x since 20 y ago-> Now Ave = 1,025,925$, Detached = 1.5m, Semi = 1.3 m in 2020.  So 20 y ago 50$ / hr or 100,000$ /y = increase 5x = 500,000$ Salary in today money. If you work for Government as Public Employee, salary 100K / y will put you on Sunshine List top 1% Public Employee's Salary. Harder Buy Home today than 20y ago, even salary has increase 2.5x since 20y ago. By Inflation, over time, car, money lost value. Only Home gains value.
See his [ Cheque ]. Different people have different experience, different thinking. I talk from my "real experience" in big City, not reading, not imagination.
Every time he says he always shows Data. Not mouth

He says: " - Already 20 years in Middle Class, very long road work hard for Home. 20 years long enough, one step further Become A Millionaire -> A big Dream takes 20 years. That's why I ask people be patient -> Take 20 years Work hard & Reward -> Every day 9am - 5pm you go to work hard for your Home, say, " I want to Become A Millionaire " -> Don't be shy. It is Canada. A Home in Toronto will help you get big dream. Other Locations will not. Because you need Income or Salary 150,000 $ / year work hard for 20 y continuously in order Become A Millionaire. To Choose Where to Live, Where to Buy Home, Where to do Business, Location is always number #1 -> You are lucky to live in City, where Ave Home Price rank #3 in the World like in Vancouver, in Toronto, Canada. Specially, in the City of Toronto. Every year, Toronto Home returns 65,000$ -> 75,000$, equal to Salary or Income of 150,000$ / year, as already proven in the past 20 years by a Data & Computer Scientist Professor.
=> Just buy home in Toronto
. Then let Home work it out for you Become A Millionaire. You just need to work hard for Home for 20 years
There is not such a fast rich Millionaire. Even Professor salary 100K / year.
To Live you must pay. Can't avoid responsibility.
1) Pay your Rent 20 years Become A
Homeless. OR.
2) Pay your Home in Toronto 20 years Become A

I want you Become A Millionaire. (Nov, 2020)
Two choices: 1) Have Income or Salary 150,000$ continuously for 20 years. If some one say they are "A Millionaire". Then you ask the same question: " - Do you have Income or Salary 150,000$ continuously for 20 years? More than Ave Salary of Professor = 100K / year.  " Or:
2) Buy Home in Toronto.
Already proven by people who bought Home at least 20 y in the City of Toronto
-> Explain below.
Based on latest Data of Ave Toronto Home Price in 2020. It is proven by a Data & Computer Scientist Professor. Not mouth.

A Canadian Scientist Professor, 20 y ago, his salary 50$ / hr, 100,000$ / year. Today this salary equal to 250,000$ / year.
He says: " Millionaires used Brain, intelligence to get rich. You work very hard, minimum wage, low wage hardly to get rich but get by.
Even salary of Professor 100,000$ /  y + Work hard for 20y still can't not Become a Millionaire. Already proven below.
=> Unless you lucky, live in Location like Vancouver, Toronto, and you buy home when so cheap, with small deposit 5%, 10%. Like Story of a couple working in factory since 1983. Took them 15 years combined salary 5.0$ / hour, in order to save 25,000$ Buy Home small Deposit 10% at 20 years ago when Home so cheap Ave = 217,000$.
Since 2016, this opportunity is gone. In Toronto, Buy Home need a salary at least 120,000$ in order to afford Buy Home and Home Mortgage. Do grade 5 math, not mouth.
=> 20y ago, A Professor working 3 months, 50$ / hour = A couple working low wage 5$ / hour, in factory 15 years in order to save
25,000$ to Buy Home with small Deposit 10%.
=> Few characters of a Millionaire
: "

1) Get Educated. Use Brain. Invest in your Brain
There is a big difference between a person educated and not. The way they think. Most educated Professionals have Linked In account. Intelligence Millionaires different with Dumb Millionaires.
NOTE: The choice between use your Brain - Data Intelligence. Or use your Heart - Emotional Intelligence. (feeling, love, hate ..) -> See my post about Game Theory click here will answer this. Professor Chu plays Game Theory with students to demonstrate: Making Choices vs. Human Emotions in the movie "Crazy Rich Asian" -> Use Brain, Making Choices always win. There is a Math Formula to prove. If you want to be Rich, use your Brain. Millionaire is Smart & Intelligence. Most of them Become A Millionaire because of Home in Toronto. They understand: - " Salary helps pay bill, but don't make them rich, don't make them Become A Millionaire. After pay Tax, Rent, Living Expensive, Car, Phone, Food, Restaurant, Entertainment, Leisure, Clothing, Debt, Travel, you have nothing left."
As already proved, take 20 years for Salary or Income 150,000$ working continuously 20y non stop in order to Become A Millionaire.
A Professor, who interviewed, talked to a lot of Millionaires in Toronto.

For example. Working low wage, factory .. very hard. A lot people are lucky because they live right Location in Toronto + And Buy Home early when Home cheap + And Buy Home with small Deposit 5%, 10%. This opportunity only happens in Canada, Toronto. Other big Cities in the world, working as minimum wage, factory, you are poor, just survival.
=> There are people working in factory, low wage are rich, not because their salary, but because have Home in Toronto. They choose right Location.

A Computer Scientist Professor already proved:
- Take 20 years working continuously, non stop, for a Salary or Income 150,000$ (more than Ave Salary of Professor) to Become A Millionaire"

Since 2016
, Buy Home in Toronto needs salary 100,000$ =  Ave Salary of Professor. Started in 2018, Stress Test required Test Salary + Deposit at least 20%.

3) Choose Location.
For example.
Avoid Location that did not create a lot millionaires. Doesn't matter how good and talent you are, you maybe Rich, but never Become A Millionaire. 250,000 millionaires in Toronto.
Toronto vs. New York: Toronto population 9.6 m is bigger than New York City 8.5m population. Ave Home Toronto rank #3 or #4 in the World, more than Vancouver #4 by CNBC Top 10 Ave Home Price City in the World. While Ave Home Price New York City rank #7.
For example. You work for small business, live in small Town, small City, you maybe Rich, but never Become A Millionaire.
For example. A lot people work in factory, low wage, but become rich, even Millionaires in Toronto. This opportunity only happens in Canada, Toronto. Other big Cities in the world, in your city, working as minimum wage, factory, is poor, just survival.
For example. Two person choose different places to live, Mr. A in Ottawa and Mr. B in Toronto. After 20y working hard, paid off Home, A has 1/2 millions. B becomes millionaire with asset 1.5 millions, 3 x times more than A.
Go back 20 years ago, a Professor working 3 months 50$ / hr = A couple salary combined working factory minimum wage for 15 y in order to save 25,000$ to buy home with 10%. A lot people working  in Factory today get rich because they
live at right Toronto Location #3, and Buy Home in Toronto when home cheap.
Not today Home so expensive. Only rich Middle Class, high end career can afford. Professors are the most high end salary, at least 80K / y, 4 x times higher than minimum wage. But take 12 years to buy a Million Dollars Home in Toronto

2) Value Money. Love Money = Love your country. Why?
- Money is measurement of Hard word & Reward, of Value, of Ability. You work hard, get paid by Money. You don't work, don't make money.
When you see the value of Money, you want to save more than to spend, work harder, study harder, try harder, not self-satisfy, out of comfort zone -> Citizen rich then Country rich
Money very important. Help: 1) You rich, your family rich, out of poverty 2) You Rewarded by Money in order to Make, Produce Products & Services.3) You become Rich Citizen, rich Consumer Spending. 4) Consumer Spending helps country 65% GDP increase. Help business, Create jobs, and Pay more Taxes 5) Thus, Love Money = Love your country. 6) You poor no money -> Weak Spending = Weak Consumer Spending = Weak GDP -> No good for country. Rich citizen is rich country. 

" There is no Religion, no Country, no Government, no Family, no Parent wants you to be poor. Because when you rich, you can take care yourself, your love ones, your family, your parents well. Not only good for you but also good for your country, for society. Religion, Government will help relieve your pain, your suffering, support you when poor, need help. Doesn't mean it wants you in poverty. People feel sorry, help you when you poor, needed help. But, no one wants in poverty.
But, in reality,
when you poor, started live alone, no family support, in need of money to pay rent, food, living expensive, you will see that the road is on your own. In the time of COVID-19, Government helps people all kinds of COVID-19 Benefits packages. After COVID-19 is gone. You will be on your own. -> Then we will understand Money is very important. Can't live without money. Life is Coast Rider, Roller ups/ downs. There is time up-to-the Top, and then down to the Bottom. Then Ups, Downs. Some people think Money is like material life. But I think Money is value, a Measurement of Hardwork & Reward. I came from very poor, in poverty, no privileges, when started Life = 0 in the City of Toronto.

I teach you Become A Millionaire.
Millionaires are good people. They do charity more than any group people. They are not jealous because you are rich. They want you to be rich, a millionaire.
A lot of people teach you Become Rich. Not easy in Toronto, where all kinds of people, diverse backgrounds, talents around the World come to Toronto Make A Big Dream like in Olympics Competition not Local Competition. I invite you come to Toronto to live, experience, and understand "A multi-culture Society" of more than 100 nationalities live & work together. 30 years to make ends meet, long enough, from Factory -> Become A Scientist Professor Millionaire in the City of Toronto. Already proven. My Dream has done. DONE.
20 y ago, since when first started career as Professor, salary 50$ / hr,  100,000$ / year.
I still continue next 20 year journey of life. " ->
Says, a person started life = 0, alone in the City of Toronto. (Latest Update Nov, 2020)

Say a Professor,
 " The Wealth Effect Theory " -> " Change people mindset, value money will change Economy, make country richer. A country weak Consumer Spending must depend on Export, work harder but less money. While rich Industrialized countries, G7 like Japan, Canada, US depends on Consumer Spending 65% -> 70% (in US) of Economy, GDP. Look at Consumer Spending, we can tell a country rich or poor, developed or developing.
In Canada only small population 37.8 millions, but
Canadian Consumer Spending 65% of GDP = 1.2 -> 1.3 Trillions of dollars. It is more than
Gov Budget Spending + Export + Business Spending & Investment combined = only 35% of Economy of GDP "
- Things you buy evaluated by money, brand name, luxury, cheap, not the same price.
- You go to school, you want good career, upgrade your career, because of good pay money.

- A Million Dollars Home is different with 100K Home, not the same.

Different careers pay different money, Factory different with Engineer, different with Professor, not the same.
Money is like Data to measure in order to see the differences. Without measurement, you can't see the value, blind, dumb, no brainier.
- If a person says " Money is not important ".  Then this person either poor, inability, self satisfied in comfort zone, or homeless. Money will not come to him. If you work in Factory, you will understand value of money to earn pay cheque, to make a living. => You feel happy when you see money grow in your bank account after working hard.

4) Dream Big. Think big. (latest update Nov, 2020)
Whatever your life's situation, factory, waitress, restaurant server, low wage, cleaner, warehouse. ..You should dream big like become Engineer, Scientist, Millionaire, even Black President of United Sates like Barack Obama, or Asian Vice President Kamala Harris.

You need to live, associate with people who have big dream, big mindset.
Jenny said: - " I live surround with people, who are low expectation, simple life, self-satisfied in comfort zone. Enough is enough. Life is = 0. No need car, home. If I have big dream, Have A Home, Become A Millionaire ->  They will get away, distance from me, jealous. So I must low my dream, just like them. So that they will Like me. " -> Big mistakes.
=> You don't need to low your goal, low your dream same as people. When your life at the bottom, no people will come to help you. You help people, be kind to people, but not low your dream.
You may be in the situation poor, homeless, working low wage, factory, restaurant, surrounding with people low dream
But. You don't need to low your dream, for people to Like you. Always dream big.

Become 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 with 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$.
Income Tax + Rent = 72,955$ = 50% or 1/2 Salary 150K -> Tax, Rent must pay where ever country you live.
Not Include: Then: Car Loan + Gas + Car Insurance + Car Maintenance + Phone, Internet, Restaurant + Travel + Misc Spending, Utility, 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

2) Just Buy Home in Toronto (update Nov, 2020)
With high Deposit like
25% up. Then Work hard 20y for Home.
Already proven in the past 20 ỵ, Toronto Home returns from 65,000$ -> 75,000$ / year. 20 y ago, Ave Toronto Home = 217,000$. Today, Ave Home is A Million Dollar Home. Detached Home = 1.5$ million (2020), Semi Detached Home = 1.3 millions (2020) Which means 20 y ago, if you Bought Home with high deposit at least 25%, today you own your Home after 20y working hard to pay off Home. Please allow working hard at least 20y.

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.


A Scientist Professor says: "- Please use "official Data", which has been collected, analyzed, normalized by Scientists in Real estate Industry collecting thousands of Data from thousands of Property already sold for that month. Thus Data changed every month.

For example.
1) Do not use nor listen to mouth: *he said, she said Data, biased, exaggeration, lack of knowledge*, unknown sources Data, straight mouth data. ->  Exaggeration. -> That's why Real Estate Industry has used One Ave Home Price for a whole City.
-> Do not  Pick-up Homes in some expensive Homes few millions in some expensive Areas like Toronto Downtown, New York Manhattan Downtown then imply as Home Price for a whole City. There are hundreds of thousands of Homes in a City.
Each Home is different even on the same street. -> A Home Renovation could cost at least 50,000$ easily. Thus increases value of Home at least 50K.
For example,
Open Space Architecture, Floor, modernized new Kitchen, Living Room, extra bed rooms, bath room, basement ....
Just replace all 10 Windows, Door cost 12,000$. Knock down walls, make Open Space Architecture cost 15,000$. Replace old dirty Floor, you can hear sound when walking with New Quality Hard Wood Floor could cost 8000$. Modernize Basement with extra Bed-Rooms, extend Bath Room more space taking shower, Kitchen ... like an Apartment cost 25,000$. When buy new home, your basement is empty like a laundry room. New Painting all home's walls cost around 500$.

For example, to  compare Hong Kong, New York, Toronto, Scientist can't pickup some areas of  expensive home, condos, property in Hong Kong, New York Downtown Manhattan, or in some locations in Toronto, Condos = 3 millions, Home = 5 millions, not accuracy, Not fairness distribution, exaggeration. They used Ave Home Price.
-> From Ave Home Price, for easy Evaluation, Calculation, Fairness Distribution, Accuracy, good for Historic Data -> We can see 1) Hong Kong, 2) Singapore had a lot rich millionaires, richest in Asia. High Home Price than Toronto, New York, London, Paris, Tokyo
. Without One Ave Home Price, scientist will have tens of thousands of different Data in different areas, tens of thousands of mouth Data, he said, she said ... Impossible to measure accuracy. Thus easy to exaggeration price, pump up price by rumour, by mouth not "Official Data", false information, easy manipulation price, not honesty, lack of knowledge
No good for Home Market.

2) Deposit 300,000$ for 20% to buy a new 1.5 millions dollars Home, ignore 1.2 million dollars debt = It's Bank Home if own less than 15 years. Not A millionaire but A million Debt, still nothing. Asset = 300,000$, Debt = -1.2 millions => Total Debt > Total Asset. Gain = 1.5 mill not yet gain -> Need work hard at least 35y to pay for big debt = 1.2 millions dollars. During 30y Lost Job -> Lost Home. While Lost = -1.2 mil in debt. ->  Exaggeration. Human Being Behaviour is greed & fear. They focus on Gain not Lost. Scientist called this is "Behaviour Economics", even they are professionals with University Degree.

Behaviour Economics: is a study of individual's behaviour reacts to different economic conditions, different economic policy, different economic outcome. Behaviour Economics shows that most people behaviour "irrational" to economic decision making. People would always make optimal decisions that provide them with the greatest benefit, feeling good, and satisfaction, even "irrational". Human Beings in Behave Economics is "Emotional" biased, unpredictable, Irrational thinking of common people for their own Benefit, their own Gain. Understand Behaviour Economics helps Scientist design Economic Policy, Economic Modeling, Sales & Marketing ... and understanding "irrational reactions" of individuals. Which "Tradition Economics" can't help and explain because it is "irrational". For example, hard to explain them that it is "A Million Debt not A Millionaire" . Behave Economics helps explain Why? - Why Toronto Condos sales low only 9.2%? Why during COVID-19, Toronto Home Price high in record ...

A Story: A man shows off girl friend his 1.3 millions dollars Home. The girl is impressive. But actually, he bought a million dollars Home with 10% Deposit = 130,000$. After marriage, the girls understands his Total Asset = 130,000$ and Total Debt = 1.2 million dollars to pay off for 35 years. She has to work very hard 30 y or more to pay off this debt. Lack of knowledge of Data, this girl carries a big debt A Million dollar Debt into her future. Because lack of knowledge of Data, the girl thinks very simple minded. People are poor because lack of knowledge of Data
3) Need own home at least 15 years + Buy Home with high deposit at least 20% -> Else still Bank's Home.
-> Buy a 500,000$ Home with 10% Deposit =
50,000$ -> Then think I have 1/2 millions but actually Have only 50K. Need work hard 35y pay off 450,000$ debt. ->  Exaggeration. This situation when low salary, low wage thus buy home with 1) small deposit like 5%, 10%. Or when Buy Home with 2) big mortgage like A Million Dollars Home in Toronto. Thus extends mortgage payment to at least 30y, 35 years, 40y.

=> In Canada, after Jan, 2018, Stress Test require at least 20% Deposit + Good Salary. Because prevent people abandon home with small deposit 5% = 25,000$ for 500,000$ Home to pay off Home for 35 years, 40 years. Money pay mortgage / month just paid for Interest. When Interest rate goes Up -> Home Price goes Down. They abandon their home, lost only 25,000$ Deposit 5%. It happened during Financial Crisis 2008-09. In US still Buy Home with small Deposit like 5%.
-> People complains: - Not fair for low Income, working class. Thus only Rich Middle Class, Millionaires who have a lot money Buy Home with high Deposit like at least 20%. -> Buy 500,000$ Home need 100,000$ of 20% Deposit. Not 25,000$ of 5% Deposit.
- How could we have such 100K a lot of money Buy Home with 20% Deposit? - Not fair. -> Low Income, low wage work hard 40y to have 100K to Buy Home. Too late, Home already up triple. While a Professor only 5 years.
-> It is fair.
Because while people Buy A Home = 500,000$, they pay 100,000$ for 20% Deposit. While you pay only 25,000$ for 5% Deposit. Not fair for people pay 100K. When Home Price Up, every one gets same Profit. But when Lost Job, or Home Price down, or Home cooling down, you abandon your home first, lost only 25,000$ -> Not honesty. -> That's why Financial Crisis happened in 2008-2009. While the people pay 100K still keep home or lost 100K.

NOTE: We as Scientist is to use Data and tell the fact, educate people Data, always better. Not about rich or poor, working class or middle class or millionaire.

A Story: - A Professor 20y ago, working 3 months = 15 years working of a couple combined salary in Factory for saving 25,000$ in order to Buy Home for 10% Deposit, when 20y ago, Ave Home Price in Toronto = 217,000$.
According to CNBC, Saving depend where you live because of Living expensive, in Ohio, Columbus take 12 years to save 29,000$, in Chicago, Illinois take 17 years to Save 50,000$, in New York City, take 36 years to Save 109,313$

A Story: I have seen a couple 9am -5pm, every day, are driving same car go to work in the same Factory for 25 years just for Home. No choice. In Canada, US, people bring their relatives working in same factory low wage. Save car, gas. Easy get job this way.

People get rich, Millionaire because of Home. But also people lost Job, lost Home, lost Family because of Home.

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.
For example, in Toronto, if own Ave Home Price = A Million Dollar Home is A Millionaire then just Toronto number of millionaires more than richest countries in Europe like  German, UK, Italy, France in G7.
A Professor said: - Base on my own Assumption Theory, as an Economic Theory : Wealth creates Wealth. In the next 5 years, Toronto will be a lot millionaires, more than Hong Kong, Singapore, New York, London, Paris, Tokyo, Berlin, Rome ...
Toronto's population
9.6 m more than New York City 8.5m. And Ave Home Price in Toronto much higher than New York.
Wealth creates Wealth
->  A lot of rich people will afford high Home Price, thus push Home Price higher, like in 2020, price up = 200,000$. The more Home Price higher, the more they will be richer -> Thus "more Wealth created" -> Thus there is always Demand of Home Buyers for higher Home Price. Middle Class Home Owners, Millionaires, whose Wealth created more than 20y ago, accountable for 55% of Home Buyers in Toronto
-> For example, a person started life = 0, Buy Home 20y ago -> Now can afford 3 x Detached Home with high deposit = 20%, based on latest Data of Home Price in 2020 -> Thus there are always Demand of Home Buyers can afford high Home Price. Thus pushing Home Price higher. When Demand up shift Right -> Higher Price. According to my own assumption Economy Theory "Wealth creates Wealth. Wealth effect." -> That's why during COVID-19, Economy no good, millions of people lost Jobs, very high Unemployment -> But Ave Home Detached = 1.5 million still a lot of people Buy Home, sales up 65%, Semi up 81% this month.
No worry about high Home Price -> No Home Buyer. But worry about down Home Price -> No Buyer.

For example, Like Toronto Market cooling during 2017. Home Price down 33% -> But Less Buyers when Low Price
This is called
"Wealth Creates Wealth" Theory = When Price up. People richer, more Wealth created  -> More Demand, more Home Buyers -> Demand shift Right -> Push Price higher. Vice versa.
When Price down. People less Wealth -> Less Demand shift Left, less Home Buyers -> Push Price lower
This "Wealth Effect" Economic Theory contradicts with "Tradition Economist" that said :- When Home Price high -> Less Demand of Home Buyers -> Demand shift left not right -> Home Price will down. Right now, a lot Economist. including Senior Economic from a Bank, predicts Toronto Home Price will be lower. This prediction has been since 20y ago. But Toronto Home Price keeps double every 10y. ->
Data of Toronto Home Price in the past 37 years also said so.
Home different with Car, Food, other Items, when Price up, less Demand of Buyer -> Because Home creates Wealth. More higher Price -> People have more Wealth created -> More Demand of Buyer -> Push Home Price even higher -> No worry if Home Price higher no Buyers. Let Home Price adapts to Market Conditions of Demand / Supply.
From "Wealth creates Wealth. Wealth effect" Theory, we can explain why other Cities in the world, very hard to have high Home Price like Rank Hong Kong #1, Singapore #2, Toronto #3, because they don't have a lot of rich middle class, millionaires population as potential Customers of Home Buyers like Toronto, Hong Kong, Singapore, in order to afford Buy Home Ave = A Million Dollars Home.

NOTE: Toronto, 9.6 millions population, of course Toronto includes GTA is its Districts, like other big City, while New York City and its Districts around 8.5 millions population, Tokyo 9.2 mil population, Paris 2.1mBerlin 3.8 mil, London 8.9 milBy population Canada only 37.8 millions, Toronto is biggest city of population in the world.
See far -> You make money. Become A Millionaire.

That's why I say need working hard 20y paid off mortgage for
A million dollars Home of Detached or Semi, Ownership at least 90%.
Lost job, Lost Income -> Lost Home. You still need keeping Home, working for Home at least 20y. The best Evaluation for Home is to base on latest Ave Home Price detached or semi Data.

For example, when we said: "- Toronto home increased double in 10 -> 12 years. Or Toronto Home Price up faster than salary. Or Toronto replaces Vancouver in higher Home Price in all categories, such as, Home, Condos, Town home"

-> At least we provide some Data. Others just said straight from mouth, no Data. Unfortunately, there are people who used to talk no Data straight from mouth -> Like to hear, listen to mouth no Data.

-> Without Data, the ability of "Problem Solving", "Making Decision" is no good, simple minded, the ability of Analytics is weak, narrow, small minded, not accuracy, not see far.

Talk data please.

Not Scientist speaking, but Data speaking itself the fact
That's why dishonesty people don't like Data

For example; See the Story on the left -> How much Data we provide in a short story.

-> What you said is not approved until you show some Data.

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.

In software design, experience Data and Computer Scientists use Data to model Data for application first, then design screen, back end, front end.... Which means they talk Data Relationship, Data Modeling first - the most difficult & challenging, not Gui, screen, look and feel, the easiest part. While less experience software design talk about screen, look and feel, colors first, spend a lot of time, because lack of knowledge in 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.

A Scientist Professor said : -Toronto Home seems double every 10y -> 12y. Summary 37 years History of Toronto Home. Go back to 1983. In 1983, ave Home = 101,626$, in 1993, ave Home = 206,490 $ double in 10y. In 1998 Ave Home = 217,000$, in 2010 ave Home = 431,276$, double in 12y, in 2020 ave Home = 1,017,320$, more than double in 10y. In next 5 years, could increase 1/2 its value Ave = 1,5 millions.
When Ave Home increased, it will pull all price of all kinds of Properties increase, of course. See Data we show compared to last year 2019 -> In 2020, Ave Home Price up -> Price Detached, Semi also increased.
You see just this year, Toronto Home has increased 195,661$
in one year. And Home Sales on record with such record Home Price.

How many times we hear from Senior Economics, Bank Analysts, Chief Economics said that Toronto Home Price will go down since 20y ago. Just recently, During COVID-19 crisis one in 100 years, worst more than Financial crisis 2008-09, they said Toronto Home will go down. During lock down 3 months, sales down 70% in April, 2020. But not only nothing happened, but also Home Price, Home Sales went up in record. Using Data, we proved that in the past 37 years thru many times economic recession, Home cooling down few times, but Toronto Home going strong. It keeps double every 10y. Data said so, a fact.

NOTE: Professor David. D, 20y ago in 1998, his salary already 100,000$, or 50$ / hr (minimum wage 5.50 $ /hr), in today money around 200,000$He started career as a Canadian Scientist Professor 15 years after the immigrant couple started career in 1983. His dream as a Canadian Scientist Professor has done 20y ago. After that, doesn't matter. See Cheque.

I want to share story to young people get started life =0 in big city that try your best.
Millennial in 26 - 39 year old, you have only 13 years of
the Young, the Restless, the ambitious big Dream, in order to make big after school, and start life = 0. Get your dream done as soon as possible. In 13 years, you need to have good salary to get 2 biggest items: - a Home and a Car to work. -> Which means you need to Save and Have 100K in 13 years, before 40s. In big city like Toronto, need 200K to have Home and Car. Then you work entire life 25y, 30y just for a Home. Every day, people go to work just for home. Without Home, they don't care much.  No Home is Nothing. Home makes you rich, something, and your girl friend happy. Car after 10y is =0, garbage. To have 100K needs good education -> Be a Scientist.
Before getting into Start-up, dream big to become millionaire, billionaire -> Get a home first.

This millionaire couple on the beach buy home early 20y ago, when home so cheap.

- 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.
-> 20 years ago, Buy Home so easy, cheap, not hot, not many immigrants like today. But, people didn't want to buy home because they want to live mobile, move around. Or they live and sell home less than 10y. Don't want to stick in one place for 10y or more. In 80s, 90s, Interest Rate was very high, like around 7% at least 28 times more than today 0.25%. No Stress Test, no check Salary. People low wage buy home small deposit like 10%. Will take 30y, 35y paid off home. Today, they rich because Home Price in Toronto up so fast.

NOTE: Immigrants after 5 years will become Canadian. Canada is a diverse country. Canadian come from all kinds of backgrounds. In 2016, Toronto 51.5% are non white Canadian according to official Data from Gov Stat Can, almost from Asian background. In schools, in neighbours, at work, you will see a lot of Canadian Asian background. As Canadian, you work hard, pay taxes, contribute to society like any Canadian.

: Around 35% -> 40% of Immigrants come to Canada go to Toronto, most from Asia -> From 2016 -> 2020, around 300,000 -> 350,000 immigrants / year to Canada. 60% are rich Economic Immigrants. Then Family re-unification. These immigrants will open small business, hire more people. They Buy Home or Rent Home good for Toronto Home Demand, which also helps rich Canadian Home Owners pay Rent by Rent to Immigrant. Immigrants spend & invest in Canada Economy. In Factory's floor, almost 95% are working, where Canadian less likely to work in Factory. Toronto is Head Office of big Banks & Financial Hub and Manufacture Hub of Canada, contributes around 60% of all Goods Export in Canada.
-> Since 2016, around 120,000 ( -> 150,000) immigrants / year x 4 years = 480,000 immigrants to Toronto. This translates to population of non whites in Toronto to around 54%.

-> Other cities not sure you can rich fast like Toronto. Today, Toronto replaces Vancouver where Home Price rank #4 in the world, after Hong Kong, Singapore.

-  I started career in 1998, 15y after the couple in 1983, as Professor, 50$ / hr or 100,000$ / year
. 20y ago, Teacher, 12$ /hr, Software Developer 13$/ hr, Factory worker 5.50$ /hr. => Look my cheque, I just need working 3 months = That couple * both combined income * working 15y saving 25,000$. In Canada like any rich industrialized countries, G7 like Japan, US, German. Just Income Tax 20% + Rent 35% + Car 15% = 70% income. Not include Grocery, Phone, Restaurant, Travel, Misc Spending. 20 year ago, it is very hard to save 25,000$ after 15 year working. Today, you work low wage, minimum wage, after 10y, how much do you have?

- I think this couple could Buy Home in Toronto, because: they prepared 15 y for home, since started working in 1983, buy home in 1998, when home cheap ave 217,000$.
- If you started working in 2000, even in 1998, as factory, or low wage, like this couple. You prepared 17y behind them -> Very hard buy home, because by the time have Deposit, Ave Home Price = 500,00K, more than double not 217,000$. And the couple buy home as couple combined income, not single one.

- Let's meet Professors, people's Professionals very high income how they buy home in Toronto. I know a lot of Professors. A friend of mine, who is in early 40s at the time he bought home. He started career in 2008, 12 year ago, as Professor, salary a little above 100K, on Sunshine List of public employees, whose salary >= 100,000$. Not all Professors on Sunshine List >= 100,000$. He said, just bought a  home in Toronto in 2020, where ave Home around 1 million. It took him 12y for saving 200K for 20% deposit for a million dollars Home in Toronto. Thus basically, just buy home only 1 year -> Still bank home. Need to own Home at least 15 years before you said your Home. The couple started in 1983 working in factory, buy home in 1998, much richer, at least 4 x times based on ave Home Price July, 2020 in Toronto, more than the Professor who started career 12y ago in 2008, buy home in 2020. Why? Because of Buy Home in Toronto 20y early. While the Professor after working in 12 years have around 200,000$. Even the Professor started career 15 y ago.-> We talk about Home in Toronto only, other cities not sure.

A Scientist does research about Home in Toronto said: - " On average, Toronto Home returned on investment (ROI) each year around 50,000$ -> 60,000$, equal to salary 67K / year -> 82 K / year before Income Tax. This year it returned on investment 2020 ROI = 191,416$. In 20y it returns 1 millions. "

Need Data & Computer Scientist who used Data can see far and Make sense of Data. Don't use mouth data from mouth. What you think is wrong. -> 90% people think the immigrant factory couple buy home 20y ago is poorer than the Professor salary over 100K. People who sell their home moved out of Toronto are dumb, because lack of Data. Having access to Data doesn't mean to understand Data, you need Data Scientist to make sense of Data.

- Education made a big difference. Data made easy to understand story than mouth

NOTE: - Canada millionaires population if compared By Number rank #6, after US, China, Japan, German, UK. If compared By Population of 37.6 m, Canada rank #2 after US.
- More than 1/2 Canadian millionaires population live in Toronto and rich by Home
- Recently, a new increase in Home values 20.1% up around 200,000$ (a lot) in Toronto helps add-on extra tens of thousands of Canadian become millionaires.

-> Says a Professor: - This does not happens in any country in the world, because its Home value down in COVID-19. - Canada is a compassionate country, like Child Benefit 850$ / month/ child. Child Benefit helps rich, poor family, increase population, until child 18 years old. Canada pumps 346 billions Gov Fiscal Policy,  Plus Central Bank's Monetary Policy on Interest Rate very low on record 0.25% into Economy, 37.6 millions population, mostly helps average Canadian and Businesses, who used COVID-19 benefit packages money to pay Rent (home mortgage or rent) 1st priority, then food, bills. Which helps the Economy, G7's Consumer Spending 65% of GDP, in US 70% of GDP, more than combined: Gov Spending + Business Spending & Investment + Export, and Real Estate Industry Up across Canada, like Ottawa up 22%. Because less people travel abroad spending, this money continues circulate within the Economy. Help local Community & Businesses.
=> Home Price up
across Canada, not just in Toronto add on values of 200 billions dollars, also outside Toronto, Home Price add-on 100 B into
Consumer Spending, the main factor of Economic Recovery.

What is Consumer Spending: is millions of people, citizens every day pay bills, pay mortgage, pay taxes from purchases, from spending, buy home, buy products & services, buy food, eat restaurant, travel ... is Consumer Spending. The more money in people's pocket the better for Consumer Spending. Using Gov Fiscal Policy like CERB benefits COVID-19, and Central Bank's Momentary Policy like low Interest Rate helps boost Consumer Spending. -> Thus Economic Recovery and Increase GDP. In good time, Consumer Spending depends much on Middle Class. According to "Wealth Effect Theory" the more wealth middle class, the better Consumer Spending. Thus better for Economy, GDP. In Canada Consumer Spending nearly 1.2 trillions of dollars each year on 37.6 m population. Government, Businesses don't have such money to spend, only the middle class. Total Asset of Canadian Middle class could be around 6 trillions of dollars of wealth. This Wealth mostly created by Home, continue growth. Middle Class is the leading force in Consumer Spending.
In Canada,
the number of Middle Class in few millions of people, Ave Asset = 350,00$. Which rank Middle Class Canadian number # 1 in the world by Wealth, comes from Home, more than Singapore. While the number of Millionaires in few hundreds of thousands. The Total Asset or Total Wealth of Millionaires + Billionaires in 1 trillions dollars. Total Wealth of Middle Class in few Trillions dollars.

For example,
Toronto = 200B, and across Canada = 100B, from Home Price up add-on 300 billion dollars from Middle Class into Consumer Spending.
This is  "Wealth Effect Theory" benefit for every one, rich, poor, money filter in society, in businesses.-> Home Price up across Canada add on 300 B into people's pocket. This money created from thin air.

"The Wealth Effect Theory" : is an Economic Theory from a Scientist Professor D.D. His theory came from background as a Data Scientist, a Computer Scientist, an Economist, and many decades grew up young, live in big city like Toronto. His real life experience from started life  = 0, poor, from bottom, Working Class to Middle Class, from Factory to Scientist, Professor, which shapes his view, his philosophy, helps him understand better You need to Live Thru to understand. No school teaches you this experience.


- Anyone wish to become millionaire -> Work hard & Be it. No jealousy.
- Try your best. I try to help you Become A Millionaire.

Update: Oct 1, 2020
How Do You Know A Person Is Millionaire? - You Don't Know.
1) You can't check bank account, their money, their asset somewhere.
-> Can't check hundreds of thousands Millionaires this way. Dumb. Impossible.

2) You can't check outside: He/She looking nice elegant Cloths, only 500$, latest luxury iPhone only 1500$, nice Car, only 100K car, Cash the way spending become poor, Travel, Eat, Beer... Cloths, Phone, Car, Cash, Leisure Spending = small stuff.
3) You can't listen to Mouth: For example, a person said: "- I buy this Home 1.5 millions dollars" -> But actually, 1.2 millions Debt.

But you can Evaluate Who Is A Millionaire. How? -> Home.
Become A Millionaire.
90% Wealth, Asset of a person is Home.
Go back 20 years:
Toronto Home Returns On Investment ROI each year in 20y around 65,000$ -> 75,000$.
1) If Buy Detached Home 20y ago, Ave = 217,000$ -> 2020 Detached = 1.5 millions. ROI = 75,000$ / year = Salary 105,000$ / year. After Income Tax = 75K/ year
2) If Buy Semi Detached Home 20y ago, Ave = 217,000$ -> in 2020 Semi = 1.29 millions. ROI = 65K / year = 85K Salary / year.
Buy either Detached or Semi Detached in Toronto with high Deposit at least 30%, at least 20y -> Become A Millionaire -> Based on DATA in 2020.

But need few Conditions:
1) Home Location: Toronto, Vancouver.
2) Home Ownership: at least 20 years
3) Home Down payment or Deposit at least 25%. NOTE: Deposit 10% or less 5% takes 30y, 35y, 40y -> Still need work hard extra 10 y more.

Become A Millionaire. Need:
1) Education: Give you the Ability to make more Money in order to Buy Home.
2) Location: Live in big City like Toronto where most Millionaires are created.
Hard to Become A Millionaire in small town.

All about Data: is based on latest Home Data in Toronto 2020. Which helps Data Scientist easy calculate. No mouth.

As a Scientist Professor, I just update Official Data, make sense Data, and educate people about Data. Use it correctly. Do not bias me - Just do my job as a scientist. I don't invented Data straight from mouth. I got Data from most trusted public sources, big corporations. There are 260,000 millionaires 2.5% of Toronto & GTA population, and hundreds of thousands middle class in Toronto & GTA in 9.6 m population.
" -
I will continue talking about Toronto Home, and other big 5 cities including Vancouver rank#4 Home Price in the World. I have followed Toronto Home Market every months since 2017 "

Professor 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
NOTE: Superman is good and kind person. Any one can be superman. I wear superman t-shirt make me feel young, energy.

Update September 2020 
Data released on Sept 5, 2020:
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
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
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 =
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

 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.
: 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
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
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
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
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 =

Condo =
- 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

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.
Home Sales is Demand curve.

When it Shift Left Because Lower Home Sales 54%, like May, 2020

Demand: D1 -> D2 -> Home Sales Down.
Quantity: Q1 -> Q2 = Down

Price: P1 -> P2 = Lower Price
Home Sales Listing is Supply curve.

When it Shift Left S1 -> S2 ->  Because Home Listing Down drop 53.1%, like May, 2020

Quantity: Q1 -> Q2 = Home Supply Down
Price: P1 -> P2 = Price Up
Price Equilibrium, not changed much, when both Demand & Supply down in balance

As a result
of both Home Sales Demand curve down 54% and Home Supply Supply curve also dropped 53% = Balancing

-> Home Price is Equilibrium. Price not down much

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.

For the week ending June 14, freehold homes in Toronto were selling over asking at a 44% clip, the highest percentage for this time of year since 2016’s record-breaking summer. While all kinds of businesses went down 0, COVID-19 has no much affect on Toronto Home Market, which makes people more confidence return to market.

Very low Interest rate helps currently = 0.25% because of COVID-19,
until at least end of 2021. Even lower than 2008-09 Financial Crisis = 0.5%. Before COVID-19 = 1.75%. Interest Low helps 1) Lower mortgage payment 2)  Cheaper money to borrow. By cutting Interest -> Cheaper loan. The Fed or Central Bank is pumping cheap money liquidity into market to stimulus economy. 3) Reduce impact of Stress Test thus easier qualify Buy Home.

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.
- Before COVID-19,
Stress Test made it difficult to buy home, thus helps reduce Demand of Home Sales and control price not jump too much high in hot market like Toronto.


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?

(2000$ x 6 mo ) x 2 adults + 2 children x 850$ x 6 months Child Benefits = 24,000$ + 10,200$ = 34,200$  for 6 months benefits.
For sure, more than US, Japan, most Industrialized Countries. After 6 months COVID-19 benefits maybe will not continue. Only Child Benefit stays for until child 18 year old. By design, CB supports Canadian family rich or poor, and increases population. Money direct deposits to mother's bank account.


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.
: 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

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

: 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 Suissethere 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 & scientificUse 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 Datadid 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.

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.


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.
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.”
To date, most efforts to stop the spread of the virus, such as social distancing, have been based on the belief the virus is not transmitted through the air. If it was found conclusively that the virus was transmissible through the air, it would significantly strengthen the case for mandatory mask-wearing to stop the spread of COVID-19. ->
Could save  Lives and thousands of COVID-19 cases. This explained why countries in Asia that have enforced wearing masks, and of course Social Distancing like Vietnam during the out-break, had 270 COVID-19 cases, 0 death, very low in 100 m population.

-> Which may explain in a crowded people, in large gathering, in some places, some people are talking, coughing ... virus can be drifting away. More cautious, in big or small room, even practice "Social Distancing" people should wear masks. -> My friends, just be cautious for you, your family, and other's safety. You make decision for you. Just give you a true story had happened.

Japan Parliament, PM Shinzo Abe, of course including Japan Health Minister, all wear masks, in April, 29, 2020. So wearing Masks 1st priority. While Canadian Parliament none wearing masks, only Social Distancing. In Japan, almost Press Conference, Politicians, Scientist wear masks on TV.  Not see in Canada on TV. Wearing masks not important, even counter productive -> Picture worth thousands words.

- Today April 29, 2020, PM Justin Trudeau in Canada Parliament  2/3 empty, most thru Internet Conference, sitting away Social Distancing, not closed, not wearing masks like Japan Parliament.
When PM Justine talks,
he is shooting out thousands of tiny particles, plus bigger & heavier droplets in to the air. All particles, droplets from his mouth are free spreading into air, floating in the air, and dropping around objects nearby. Which other people could touch them by hands. But other MPs are sitting Social Distancing, they are safe, because Social Distancing that most heavier droplets will drop not far 2 m distance. But particles (not droplets in Social Distancing) proven by Japanese, Chinese, Canadian Scientists exist and can be drifting, floating in the air longer.
People keep Social Distancing safety,
but they in thousands outdoor, still shoot virus from mouth, nose when talking, coughing, sneezing in the air, on street. The virus then drop on trees, home grass, chairs, objects ... Then other people catch virus by sitting, touching ... That's why in Asian countries like South Korean, Japan, Vietnam ... they use chemical to clean streets, trees ...
- South Korean clean the street

Updating: (May, 2020)

CDC recommends people wear cloth masks to block the spread of COVID-19. Click here

Dr. Harvey Fineberg, chairman of a committee with the National Academy of Sciences, former Dean of the Harvard School of Public Health advised: Click here
NOTE: Dr. Harvey advised:  "If you generate an aerosol of the virus with no circulation in a room, it's conceivable that if you walk through later, you could inhale the virus - l start wearing a mask when I go to the grocery store". - So according to Dr. Harvey - Corona virus lingers in the air for a while, because people put out when breathing or coughing, talking, laughing more force than just breathing ... You could inhale the virus by breath in -> Air transmission. Wash hand can't help.
-> Which validates my post on this COVID-19 in April, 2020. Still a lot mysteries around dangerous COVID-19 the way it infects people fast & furious, like in US, in 2 months, since March 13, from few cases to more than 1 millions in 2 months, like in US, giving US population only 2.7 x times than Japan, but 1.3 m cases, Japan 15,500 cases. From Data, only air transmission can have this fast & furious Transmission in modern technology century, not old centuries ago..  Giving almost Asian countries wear masks thus reduce a lot of cases. Almost cases come from industrialized rich countries Europe, North America. Doctors, Scientists, still confused. No effective treatment, no medicine, no vaccine, so far, only Talking, Experiment, Testing.. The more info you have  -> The smarter you are than no brainier  -> The better decision you make for you family, children, customers, and others in community. Save Lives.

On May 5, 2020, Dr. Fauci advised people wear mask.

NOTE: As always said, People must practice Social Distancing first priority. No one stops you wearing mask if you feel unsafe. An extra defence you and others always smart defence of protection against COVID-19. -> It is the Behaviour will make a big difference between Life & Death in new normal COVID-19

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.
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, Psychologysocial 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.
: 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

- 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:

--  Program Linear Regression using Java. Not difficult ---

public class LinearRegression {

public static void main(String[] args) {
int MAXN = 1000;
int n = 0;
double[] x = new double[MAXN];
double[] y = new double[MAXN];

// first pass: read in data, compute xbar and ybar
double sumx = 0.0, sumy = 0.0, sumx2 = 0.0;
while(!StdIn.isEmpty()) {
x[n] = StdIn.readDouble();
y[n] = StdIn.readDouble();
sumx += x[n];
sumx2 += x[n] * x[n];
sumy += y[n];
double xbar = sumx / n;
double ybar = sumy / n;

// second pass: compute summary statistics
double xxbar = 0.0, yybar = 0.0, xybar = 0.0;
for (int i = 0; i < n; i++) {
xxbar += (x[i] - xbar) * (x[i] - xbar);
yybar += (y[i] - ybar) * (y[i] - ybar);
xybar += (x[i] - xbar) * (y[i] - ybar);
double beta1 = xybar / xxbar;
double beta0 = ybar - beta1 * xbar;

// print results
StdOut.println("y = " + beta1 + " * x + " + beta0);

// analyze results
int df = n - 2;
double rss = 0.0;
// residual sum of squares
double ssr = 0.0;
// regression sum of squares
for (int i = 0; i < n; i++) {
double fit = beta1*x[i] + beta0;
rss += (fit - y[i]) * (fit - y[i]);
ssr += (fit - ybar) * (fit - ybar);
double R2 = ssr / yybar;
double svar = rss / df;
double svar1 = svar / xxbar;
double svar0 = svar/n + xbar*xbar*svar1;
StdOut.println("R^2 = " + R2);
StdOut.println("std error of beta_1 = " + Math.sqrt(svar1));
StdOut.println("std error of beta_0 = " + Math.sqrt(svar0));
svar0 = svar * sumx2 / (n * xxbar);
StdOut.println("std error of beta_0 = " + Math.sqrt(svar0));

StdOut.println("SSTO = " + yybar);
StdOut.println("SSE = " + rss);
StdOut.println("SSR = " + ssr);

If there are n elements x1, x2, x3, . . ., xn
in an array and if we want to calculate the
geometric mean of the array elements is
Geometric mean = (x1 * x2 * x3 * . . . * xn)1/n
Input : arr[] = {1, 2, 3, 4, 5, 6, 7, 8}
Output : 3.76435
= (1 * 2 * 3 * 4 * 5 * 6 * 7 * 8)1/8
= 403201/8
= 3.76435

Input : arr[] = {15, 12, 13, 19, 10}
Output : 13.447
= (15 * 12 * 13 * 19 * 10)1/5
= 4446001/5
= 13.477

-  Program Geometric Average use Java. Not difficult -

import java.math.*;

class GeometricAverage {

// function to calculate geometric mean
// and return float value.
static float geometricMean (int arr[], int n)

// declare product variable and
// initialize it to 1.
float product = 1;

// Compute the product of all the
// elements in the array.
for (int i = 0; i < n; i++)
product = product * arr[i];

// compute geometric mean through
// formula pow (product, 1/n) and
// return the value to main function.

float gm = (float)Math.pow(product, (float)1 / n);
return gm;

// Main function
public static void main (String args[])
int arr[] = { 1, 2, 3, 4, 5, 6, 7, 8 };
int n = arr.length ;
System.out.println (geometricMean(arr, n));


Output = 3.76435


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));
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$.

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.

: 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.

Want to be a millionaire? - Big dream = Take 20y Work hard & Reward.  

Not late. Don't be greedy. Be patient. Work hard & Reward -> Millionaire take 20y working hard. Move to Toronto -> Buy A million dollar Home at least 20% Deposit around 200,00$ -> Work hard 20y.

 A millionaire couple walking on the beach

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.

NOTE: As Scientist, I talk Data. Without Data people think abstract, not real. What ever their mind imagines, because lack of Data they can't measure.
For example, when said, to be rich, need working hard 20y. People don't see the "real number". Can't measure "Rich" -> Why take 20y long time? - But when I said need saving 50K / year. Now they see "real Data = Save 50K / year for 20y to be rich = Millionaire. " -> Not easy to be rich. -> That's why Take 20y. How do I save 50K / year, when income not even = 50K / year in last 20y. Then I need pay Rent, Tax, Car, Food, Travel, On/Off job... too. Not easy. That's why need Data so that can measure. -> Without Data, people can say anything, imagine anything that can't measure, can't see value.

For example, We know Ave Toronto Home Detached or Semi Home is A million dollars Home. It seems a lot of millionaires in Toronto, but Not. Data shows that around 260,000 Millionaires in Toronto in 9.6 millions Toronto & GTA population, more than 1/2 millionaires in Canada 505,000 millionaires rank # 2 millionaires by population in the world. Thus not easy become Toronto millionaires even live in Toronto. People  Buy/ Sell Home often after 10y, 15y. Not many people live in home for 20y. Home like Stock, you have to keep long term to see profit. Don't cash out/ in get profit too soon. -> The Data of Millionaires tells whole picture of a City Toronto Rich, but not easy become Toronto Millionaire. Ottawa has 25,250 millionaires, Vancouver around 40,400 millionaires, Quebec more than 250 years founding around 106,052 millionaires. China, today a rich country, 1.39 billions people, but only 1.9 millionaires. Singapore is the richest country in Asia -> There are 183,737 millionaires in 2019.

-> Without Data, people can't see values, can say anything, see thru windows, imagine anything that can't measure.

Wealth Asset of Middle Class American
n US, you can Buy a Home with 10% Deposit + Car - In US, all you need *50,000$ to have Home + Car*. US home cheap, Ave Home 300,000$ deposit 10% = 30,000$ => Have a Home paid off 30y.
Unlike in Toronto Ave home Detached or Semi Detached = above A Million dollars Home, Toronto Ave Home Price rank #4 in the world, only after Hong Kong #1. Ave Home in US cheap in most US States is US Home Ave = $226,800 according to Zillow, but that varies by state. Data no mouth.
- https://www.businessinsider.com/cost-to-buy-a-house-in-every-state-ranked-2018-8#19-florida-33

- 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.

Linked In: https://www.linkedin.com/in/daviddang/

CEO of multi-billions corporations like: Facebook Mark Zuckerberg, Pay Pal, Tesla Elon Musk, Shopify Tobias Lütke, Apple Steve Jobs, Oracle Larry Ellison, Alibaba Jack Mar, Dell Michael Dell, Microsoft Bill Gates, Amazon Jeff Bezos ...  dropped out CS. Only CEO Jeff Bezos graduated in Computer Science. However, all of them had Start-up's Entrepreneurship Mindset & Spirit, Passion, and Innovation like I do.

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

- Update March, 2020.

20y ago, I already  loved Detached Home in Toronto. Click here see bigger photo

- 20y ago Professor salary 50$ / hr, 100,000$ / year could afford this Detached Home no problem

- Another View. Not all Detached Home as big as this one, most Detached same size as Semi.  - Click here see bigger photo. At peak, Ave Detached Home in Toronto = 1.56 millions, Semi Detached Home = 1.35 millions.

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.

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?
- It means Success. Hardwork & Reward. A big Dream,
not easy achieve in 3 x Generation. Not about money, rich & poor, as small minded thinking. It's hard because less than 4% in population, even in rich country like Canada rank #2 millionaires.
Canada just creates a new Ministry of Middle Class and Prosperity in Nov, 2019.
How difficult to become Canadian millionaires?

- Canada rank #2 Millionaires by population in the world. More than 1/2 millionaires around 260,000 millionaires, live in Toronto, GTA (Districts around Toronto) of 9.5 million people, about 2.7% population ( still a lot, much better compared to ratio of Japan millionaires population ), ave Home Price in GTA = $850,000, in Toronto = $930,000. In this Blog, we use Data to prove that it is not easy to Buy Home in Toronto. If already Buy Home, take at least 20y, high deposit to pay off home.

A Professor, who Teaches Computer Science, Data Analyst & Management, also Builds Software Analyze & Manage Data says: - That's why Scientist use Data, no mouth tongue easy. Data helps make decision more accuracy, see value because: "- Value measured by Data, thus need Data & Computer Scientist who then used Data Science & Methodology ( Such as, CANDO = Collect Data, Analyze Data, Normalize Data, Design Data, Organize Data ) to measure & analyze, not by What people think or say. " See far.  Says: A Professor, who Teaches Computer Science, Data Analyst & Management, also Builds Software Analyze & Manage Data. Without Data, mouth, tongue easy, biases, see near.
For example: -
Use mouth, tongue, that seems easy Buy Home in Toronto, because they said so. Working in factory, low wage few years can Buy Home. Then just Toronto, GTA had millionaires at least 500,000 mil, more richer than S.Korea 52m, Australia, Italy 61m. Impossible. So dumb.

Big corporations like Google, Facebook, Amazon have CEO, VP, CMO, COO, CTO are Millionaires. Senior Management, Directors are Millionaires.

Sales Executives who are millionaires,
usually from big corporations, have in charge big accounts from multi million clients, get more trusted by big clients. Real Estate Agents who drive new and expensive cars (even car loan) will sell more, at top. Because they create impression on their Clients, like, they are good & successful Sales Executives. Which has been proven.

NOTE: In Canada, US, any countries, people can't be biased because of their Social Class, Rich, Poor, Background, Gender.

Money is a measurement of "Hardwork & Reward"
- Everything ... Everything you do, work, you get paid by Money. Everything you need (home, car, food). Everything you buy (brand name, luxury, latest iPhone ...) is measured by Money. You go to school, you Work hard 9am-5pm whole life for Money, just to make money. You need Money to Buy Home, Condos, Car, nice Cloths, Luxury Beauty .. You need Money to Live to pay Rent, Food, Doctor, Hospital, Education, Children .... You need Money to Live your Dream Travel, open Business, leisure, enjoy life.

Whoever you are. What ever you do:
A Business person, A Scientist, a Professional, a Worker, you are millionaire means: - You work hard. You are success.
The Law of Attraction says:
- If you said don't need money.
Money not important. -> You don't see values of  Money -> Then you don't try harder, work harder, don't want to advance your career. Self-satisfy. Spend money -> Then Money will not come to you -> You poor, bottom, poverty.

- If you said you need money.
Money important. -> You see values of  Money -> Then you work harder, try harder, advanced your career. Not-satisfy. Save money -> Then Money will come to you -> You out of poverty, Middle Class, Rich.]

A Scientist
says: - I attract to Money since I started Life = 0, very poor, still now in need of Money. I see value of money. I am Saving, less Spending. That's why I work very hard, improved my career from Factory to Scientist, Professor.

- A millionaire couple walking on the beach, enjoying life.

Scientist track 4 Professionals, started life = 0 for 20y in 1999. (update 23/1)
From this, you can Analyze using Grade 5 Math, in 20y period, who can Buy Home, and How Much Deposit, and How Much ROI (Return On Investment).
If you started working later in mid 2000s, the later, the harder Buy Home, specially Stress Test makes harder Buy Home, and Home Price increased more than double. For example, from 2012 -> 2018 in 6 years, Ave Toronto Home Price near double from $497,130 -> 870,000, an increase = 373,000$. Always check LinkedIn to make sure their background. Almost Professionals have LinkedIn, a Timeline of their Career, their Experience, their Life, their Education, easy to know they Have Home or Not. If they don't have then they are not Professionals.

John chooses to live in Montreal, cheaper living. French culture relax, less hustle.
While Peter, Dan use Brain, see far, chooses Toronto
. It is biggest city of Canada, Head Offices of big Banks, Stock Market, Financial Institutions, big Corporations, and Center Hub of Manufactures.
They see Toronto its potential of growth as Canada grows, like growth stock.
Jenny chooses to live in Ottawa, nice place, quiet, civilized & intellectual, less crowded all kinds people, less stress, less cost.

After graduated from Canadian University, the four professionals people started career, worked hard for 20y, Buy Home. All of them Buy Home at least 20% Deposit because of good salary as Professionals. Result after working 20y: Just Grade 5 math + Data  Home Price in Toronto here. Always check LinkedIn to make sure their background.

- Peter
Engineer, in Toronto, Buy Home early in 1999 with high Deposit, already own Home ownership = 20y. Sees his Wealth increased to 1.1 millions. Based on current Ave Home Price in 2019 of Home Price in Toronto, Detached Home = 1.36 millions, Semi = 1.1 millions. If include other assets such as, Cash, Bank Account, Car , RRSP (or 401K after 20y), Stock, Jewry ... probably around extra 200,000$. Which means that if Peter have no Home, after 20y working hard, he should have 200K including everything: cash, bank account, car, stock, 401K (RRSP) ... Because have Home, His total asset = 1,300,000$ or 1.3 millions.
=> Toronto Home Price ROI (Return On Investment) around 40,000$ (= Net Income of 55K) -> 50,000$ (= Net Income of 65K) / per year / 20 y. Already happened in 20y in Toronto. Not forecast. Data there, but people don't see. Until now Scientist makes sense Data. Or equal Net Income of salary 55K -> 65K every year, or around 4% -> 6% / year. Sometimes 7%. Stress Test has impact. Average Stock Market return 7%. At peak 2017, Toronto Home Price increased or returned 32%. In 2019, it returns 47,063$ (= 65K Net Income) = 5.6%.
Translate into real money:
In 1999, Ave Semi Detached Home around 200,000s -> In 2019, Ave around 1.1 millions = 850,000$ Return, For Detached Home around 950,000$. Next 2 years, Peter Total Asset = 1.39 m.
If Peter Buy Home late 10y in 2010 like John, Jenny. In 2010, Ave Home Price in 2010 = 431,276$ double from 1999 = 228,000$. Peter's Wealth will be reduced significantly. His total asset (including every thing Home, Car,  RRSP, Cash ...) = 800,000$. Because he Buy Home 10y later at high double Home Price, and so far only 10, 12 years ownership 2010 -> 2019.
In this Blog, you can see * Data every where * when we write. When we said we always have Data. Say without Data means not proven. People can blah blah anything talking without Data. Having Data is always better fact, true, knowledge, smart, honest than No Data. As Scientist we talk by Data, do Research, different with other people straight from mouth easy. We dare to show people Data when we say, because we are honest, intellecture.
For example, Henry bought Early Semi-Detached 20y ago, High Deposit at least 30%.
-> Jenny bought 3 x New Detached Home 1.36 millions, with 20% Deposit = 272,000$ each in 2019.
-> Peter sold his Home bought 20y ago for 1.1 million. Then He bought 4 x brand New Semi Home with 20% deposit = 222,000$ each. Semi = 1.1 millions dollars based on Home Price in 2019.
Who has the most value? 90% people will say Jenny because she bought 3 x New Detached Home. 80% people say Peter because he bought 4 x New Semi Detached. 30% say Henry.
- But actually, Henry has the most value, only 1 x Semi Detached home 20y ago returns 1.1 millions, more than Helen = 284,000$, more than Peter = 220,000$.
- While Jenny = 3 x Detached 1.36 m x 20% Deposit each, Total Value of 3 Detached  = 816,000$. Peter = 4 x New Semi Home 1.1m x 20% Deposit each, Total Value of 3 Semi  = 880,000$
The reason because people see only Gains Jenny has 3 x brand New Detached Homes, OMG 3 x brand New Detached 1.36 m = 4.08 millions dollars. But ignore Lost Jenny Debt = 1,088,000 / Detached home, Total Debt 3 x Detached = 3,264,000$. Peter has 4 x brand New Semi Home, Total  = 4.4 millions dollars = a lot money. But Peter Debt = 880,000 / Semi home, Total Debt of 4 x Semi = 3,520,000$. While Henry has 1 x Semi Home 20y ago = 1.1 m. But No Debt
=> Home Ownership: - People ignore Home Ownership, how long % own Home, Bank owns %. Home Ownership explains why 3 x New Detach Home, 4 x New Semi Detached Homes still less value at least 200K than 1 x Semi Detached Home 20 y ago.
People focus on Gains 3 New Detached Home 1.36 m each, Gains = 4.08 m. Ignore Lost 1,008,000 millions debt each Home. Total debt, Lost = 3,264,000$
=> Peter Forecast: Peter from no debt had 1.1 millions, want to sell his home to Buy Multi Homes. Now he has 3 x Semi homes = 3.3 millions, with 2.65 millions dollars in debt. Because today Home Price high, big Mortgage, not like 10y, 20y ago. A lot of debts, a lot of risks. Could gain alot but could lost all. Peter asks a scientist Professor see his future. The scientist Prof said: " - You 2 choices: 1) You buy Multi Homes could increase triple to 3 millions in the next 25, 30 years. Dear friend, took 20y working hard to have 1.1 millions. And working very hard 25y for it. Or could lost all, very risky, too much Debt. 2) Take it 1 x Home =  1.1 millions as value now. Including all other asset Car, 401K = 1.3 millions. You are already millionaire. Relax, travel. In next 2 years, Home will increases 4% -> 6% / year = 65K salary / year, already Data proven last 20y 1999 -> 2019. Thus, next 2 years, your Total Asset  = 1.36 millions. Home keeps increased next 5y, 10y, So on. Which choice you want? "

-> Data.
-> Without Data, people use Eyes, Ears, Mouth to evaluate based on assumption, Like It or Not, biases.
-> Scientist calls:  Behaviours Economics" = A Study about Human Behaviour of common people, their reaction to various changed from  Economic Policy, Economic Conditions.

- 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.
=> A sample of Prof David. Click Cheque 20y ago, 50$ /h, 96,000$ / year <=

- John Engineer, in Montreal 2nd biggest City of Canada after Toronto, increased 400,000$ (including other assets such as Cash, Stock, RRSP...), Ave Home Montreal = 379,000$. Based on current Ave Home Price in Dec, 2019. John doesn't pay off the Home yet. He bought Home only 10y, still have another 15 years to pay off 25 y home amortization Because the first 10y just for Saving Money to buy home. After 20y, he owns around 45% Home Ownership.

- Jenny
Teacher, in Ottawa Capital of Canada, increased to 450,000$ (including other assets such as Cash, Stock, RRSP...). Ave Home in Ottawa = 442,000$, based on current Ave Home Price in Dec, 2019. Like John, Jenny doesn't pay off the Home yet. She bought Home only 10y. Because first 10y just for Saving Money to buy home. Still have another 15 years pay off 25 y home amortization. After 20y, she owns around 45% Home Ownership.

Another advantage for Dan
is that with his salary as Professor, he could Buy Home within a year. While other Engineer, Teacher may take at least 10y of Saving to Buy Home after they graduated from University and started career. They Buy Home 10y behind Dan. After 10y, Toronto Home Price increased double. -> Thus they Buy Home with expensive double price ->. Thus their Wealth decreased double a lot, significantly. Jenny, John lucky had Home. Without Home, both probably had asset around 100K + Car.

What if take Home away from middle class, millionaires in US & Canada?
- 90% their wealth in Home, their piggy bank. Just look at their Home then we know how much they have. Easy. No Home = Nothing. Anything else is small, like car. Value of Home Price depends on where they live, Location Toronto, Ottawa..., Deposit 5%, 10%, 20%, 30%, Ownership, how long Buy Home, 5y, 10y, 20y...
A Story:
A man is showing his girl friend his home. He said:- See, I own Home.
She doesn't know anything about Home.
Then later, she knows that his Home is very cheap around 200,000$, deposit only 5% (in US) = 10,000$, need 35y, 40y paid off. Then he took her to work in same factory. He owns Home, but need to work factory 35y to pay off. His Total Asset only 10,000$. She will be good partner help to pay off Home. This kind of story alot. In industrialized countries, like US, Canada, working as minimum wage, low wage, need 2 x Income to survival. No way he can afford her to stay home as house wife have children. In Canada, she has Child Benefits around 600$ / month / child. Have 2 children in 10y = around  100K.
- Looking at Data, Middle Class and Millionaires in Canada, specially Middle Class Toronto, are better finance than in US, because Home Price in US low Price.

How Do People Spend their Income?
Income every month,
pay for Mortgage (or Rent) first 1st priority = 40% -> 50%  their income. ->
Just Mortgage (or Rent), and Income Tax already take away 65% of Income every month. -> 1) Then Home Bills like Property Tax, Utility, 2) then Car, Gas, Car Insurance, Car Maintenance, 3) then Living Expensive, Food, Grocery, Phone, Internet, 4) then Debt, 5) then Entertainment, Eat-out, Smoke, Drink, Vacation & Travel (could cost a whole year saving), 6) then On/ Off Job lost Income most stress for Home Owner. 7) then Miscellaneous Spending like Hospital, Medicine, Dental, Child Care, all kinds of Fees, Tuition ... -> So many then, 7 then for 35% remain Income. Not much money left. Very much the same for every one in Industrialized & Developed Countries. Very hard to become millionaire. Professionals, Teacher, Engineer 20y working hard in Montreal, Ottawa has 400K. -> All Home Owners work hard, make ends meet. They have more expensive to pay than people no home. People put money in Home, in Stock. Only idiots put money in Cash under bed, and spend fast. You have to live as industrialized middle class home owners in Industrialized Countries in order to understand their lifestyle.
- Looking at Data,
Middle Class and Millionaires in Canada, specially Middle Class Toronto, are better finance than in US, because Home Price in US low Price.

NOTE: - Ave Home Price in Toronto in 1998-1999 around 219,000$.Today in Dec, 2019, Ave Home Detached in Toronto = 1.36 millions, Semi detached = 1.1 millions. Peter, Dan, makes Decision by Brain, right Place. See far. While John, Jenny makes Decision by Heart, Like It or Not. See near. Take many Generations work hard, achieve as same as Dan, Peter in 20y. Thus by choosing where Location to live will make a big difference.

NOTE: 20y ago, with that big salary of Professor, 50$ /h, 96,000$ / year easy Buy Multi Homes. 20y ago, Minimum wage Factory Worker, Restaurant Server 5,5$ = 10,500$ / year. Engineer, Teacher 12.50$ / hr = 24,040$
 => A sample of Prof David. Click Cheque 20y ago. <=


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.

The Return of Detached or Semi Detached is the same after 20y Buy Home (update 15, Jan, 2020)

Scientist has proved that 20y ago, doesn't matter you buy Detached or Semi Detached , after 20y the return the same.  For example, in 1999 you have a fix amount of deposit. If you bought a Semi, you would high deposit at least 30%. Take 20y pay off, because not only small Mortgage Loan + but also high % Deposit = Pay off Home faster. If you bought a Detached Home, you would reduce deposit very small like 10%, 15%. Take at least 30y, 35y pay off, because not only high Mortgage Loan + but also small % Deposit. A different 10y cost Home Owner hundreds of thousands of dollars for Interest Payment.

For example, 20y ago in Toronto, A bought a Semi Detached Home with at least 30% Deposit.  B bought a Detached Home with around 10%, 15% Deposit. 20 y later, both Semi and Detached Home will Return on Investment the same = 1.1 millions, giving Semi = 1.1 millions, Detached = 1.35 millions in 2019. But Detached Home cost more than Semi. At anytime, after 20y you can always upgrade from Semi to Detached Home. Or better buy another Semi, 2 x Semi will have combined value = 2.2 million dollars, at least 800,000$ more than a Detached. But Cost nearly the same. Example Property Tax of 2 x Semi nearly same as a Detached Home. Semi Detached Home more profit for Rental than Detached Home because less cost.

Why not high Deposit more? - Easy said than done. Not easy.
Because if take 10 years Saving for 10% deposit. Then take double 2 x time 20 year for 20% deposit. Then take 3 x times 30 year Working & Saving for 30% deposit, for only high salary like Professor. People don't wait 20y, 30y, jump in 10% will take 30y, 35y.. paid off Home. Today, Stress Test need 20%.

- If you bought a Detached higher price, your deposit reduced to  1/2 = 12%. Take 30y paid off. After 20y in 2019 in Toronto, Detached = 1.36 millions. Semi = 1.1 millions.
If you bought Semi Detached. Because you pay high deposit at least 30%, after 20y, you completely ownership 100% of Semi = 1.1 millions.
- If you bought Detached only small 12%, 15% Deposit. You own only 2/3 of the Detached Home after 20y, still work hard for 10y more to own 100%. In 10y, assume giving mortgage = 3000$ / mo -> A year = 36,00$ -> 10 y = 360,000$. => All this money at least 300K just pay for Interest. A waste of money. After 20y, each year Detached pay 36000$ means you lost 36000$ compared to Semi already Done!.
Thus after 20y, you own 65% of Detached Home = 1.36 mill x 65% = 885,000$. While if buy Semi, you own 100% = 1.1 millions. Thus the same after 20y, doesn't matter you buy Detached ( Not including the Operation Cost pay more for high Mortgage Payment / month, high Interest Payment because high Mortgage Loan + high Property tax + high Maintenance Cost ) = your Wealth = 885,000$ or Buy Semi, your wealth = 1.1 millions.
=> People ignore Cost, the Operation Cost in 20y or more to run Detached Home, only Focus on the Home Price 1.36 millions they not yet own. Human greed only focus on Gains not Lost. This Economist called "Behaviour Economics". As we always say, you need a real Data & Computer Scientist to see far that people can't see. Cover your Ears, Eyes, Mouth.

NOTE: We only show you about the Return On Investment (ROI) after 20y. Both return the same money, Semi = 1.1 millions, Detached = 885,000$. We do not include the Cost of Operation, such as, Mortgage, Bills, Maintenance, Property Tax (Detached more double than Semi,) of Detached Home seems very high compared the Cost  of Semi.
Home Data: Based on current Ave Home Price in 2019 of Home Price in Toronto, Detached Home = 1.36 millions, Semi = 1.1 millions

How Data Scientist Collect Data: (update 24/1)
Scientist use Ave Home Price of Detached and Semi Detached in Toronto, Real Estate Industry also used Ave Home Price more accuracy. We don't know or don't care where Peter, Dave live in Toronto, or where John live in Montreal, Jenny lives in Ottawa.
- The way we used Data is
to present a whole population in a City, not to present particular areas, not particular people, particular neighbour, street, my friend home.... ( Learn Data Management & Analyst,
CANDO = Collect Data, Analyze Data, Normalize Data, Design Data, Organize Data.. Then Talk ) -> Because, in that area, have thousands of streets with different price, and also Home Price different price depend on Renovation. My neighbour Home Price doesn't mean my Home Price same. The people we use like Peter, Dan, John, Jenny could represent tens of thousands people like Jenny, in large millions population of a city. From there, you can figure out other type of working people. For example, if an Engineer had this asset after 20y, what if a Factory worker had? Can Buy Home? -> Giving the Factory Worker usually makes less than 1/2 salary the Engineer.
- Scientist don't collect Data so distracted with tens of thousands Data Points of Homes. Talking to 10 people, each of them has different Data, all kinds of Data, from mouth, no scientifically proven. Make up Data. A person says: - Home in this District is worth 2 millions, straight from mouth. That's why Real Estate Industry used Ave Home Price to prevent Pick up some areas in Toronto, where Detached Home around 1.56 millions, Semi around 1.35 millions. Then used to present as all Home Price in Toronto -> Faking Price. Currently, Detached Home is 1.36 millions doesn't mean all Detached Home = 1.36. Some more. Some less.
One simple Example How To Collect Data: Let's say we want to Collect Data of Total Sales = SubTotal + (SubTotal x Tax ). We don't Collect Data of Total Sales and store in database. Only Collect Data of Sub_Total, Tax. Because Total Sales, its values depends on the variable of Sub_Total and Tax. When Sub_total and Tax changed, Total Sales is changed. What if software system is used by different countries had different Tax Rate? So in Database, we only Design table fields = Sub_Total, Tax to save data, but no Total Sales field. This is just simple example How To Collect Data, Design Data. In reality more complex Collect Data than just Total Sales.
What if we Don't Know and Design Data store Total Sales in system. This software system Design wrong & dangerous.
=> Junior Software focus on Look & Feel, GUI, Colors, Screen, Interfaces, the Cloths, the Outside, easy change Cloths, Color, GUI, Screen, the most easy task of Design, called Front-end Developer. That's why in Software Development, this Design Look & Feel is given to Junior Developer. The Data Back end is the most difficult Programming & Design, need understand CANDO for Computer Scientist, the brain of system. . Of course Computer Scientist understand, know Design of GUI, Screen -> Because the Design GUI, Screen, by Design, is depending on Data, and for the presentation of Data. As you see Data is very important in Software Design, not just Talking, Management, Forecast ...

Without Data, people don't see far, blind. Thus no good making decision, because they think they see, they know, but not. It is dangerous listen to mouth, tongue no Data. Listen to Data speaking the truth, no biases. Scientists like Doctors, we say open, honestly in good faith. Because it is our Professional. We scientist talk scientifically. We talk Data no biases, intelligence, honesty. ->  Said, A Scientist Professor, who not only Teaches Data Analyst & Management, but also Builds software to Manage & Analyze Data

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 =
=> 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

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.

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)

: 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 ?
-> Because live in 1 millions dollars Home doesn't mean you are millionaires. Unless you own that home. Take 20y with high Deposit, 25y, 30y, 35y ... Paid off own home. You can buy 1.35 million dollars home in Toronto with 20% deposit = 270,000$. And only Toronto area code (416) (see Toronto Map) has Average Home Price Detached Home and Semi-Detached Home over 1 millions. See the Ave Home Price posting above. Outside Toronto, like GTA, Suburban, Average Home Price under 1 millions dollars. The more far away from Toronto like Brampton (Ave = 718,000$), Ajax (Ave = 655,000$), Oshawa (Ave = 503,000$) .. Home Price is much reduced.

Few Notes: About Author. I have been talking about Toronto Home since 2017 at its peak. Started career in 1998 as Professor, I used Data, based on Data, no mouth, tongue. By simply asking: - What were you doing 20y ago in 1998, 15 y ago in 2003, 10y ago in 2008, I can know you can Buy Home or Not in Toronto, and How much % Deposit? -> Data no biases. How to know? -> Check LinkedIn Profile. Almost 90% Professionals with University Degree have LinkedIn Profile. Of course, people with Univ make at least twice 2 x Income than people don't. => As Data & Computer Scientist, we teach other Professionals using Data Science, avoid mouth, tongue, talking. -> Making Decision without Data is blind, biases, not good Problem Solving.
Do not use this Methodology check on your partner.

NOTE: To answer, you need to know 1) How to Collect Data 2) How to Analyze Data. Such as, 1) Where "Location" they live, most important. Then 2) Ave Home Price in Toronto for at least 13 years. Why? Because when a person started career 15y ago in 2003, didn't mean He/ She could Buy Home right away. Unless salary of Professor. Will Take a person at least 13y - 15 y of Saving. Then after 13y, from 2003 -> 2016, What is Ave Home Price? -> Ave Home 1998 = 216,915$ (in 1998, Salary of Professor 50$/hr or 96,000$ / y = Buy Home in 1 y at least 25% Deposit. Today Ave salary of Professor 120K, not qualify Buy Home in Toronto, Engineer 12$ / hr or  $23,000$ / y, Factory, Restaurant Server, Minim Wage 6$ / h or 11,500$ / y) -> Ave Home 2003 = 293,067$. In just 5y 1998 - 2003 increased 76,000$. Thus if started career as Engineer in 1998, you could not Buy Home because of a big increase Home Price in Toronto in just 5y. -> 5y later Ave Home 2009 = 395,460$. In 2003 -> 2009 just 5y increased 103,000$. As Engineer started career in 1998, now you were lost so far behind Buy Home Toronto. From Data, we see that if you started career as Engineer after 2008, very difficult for you Buy Home in Toronto, because an Engineer started 10y early 1998 could not Buy Home. Unless borrow money from somewhere.- Because since 2009 -> 2016 a very big increase from $395,460 -> $730,000 = 335,000$. increase. => Ave Toronto Home Price 2016 = $730,000.  -> Could He/ She afford?. 3) Interest Rate, Their 4) Salary of Factory Worker, Restaurant Server, Engineer, Professor ... 5) Income Tax, 6) Debt, 7)  Living Expensive = Rent, Car, Car Loan, Car Insurance, Food & Grocery, Drink, Misc Spending, Vacation, Travel ... Specially, after 2018 is 8) Stress Test -> These are main Data that is making decision if a person could afford Home or Not. Avoid Emotional Intelligence like Basic Instincts, Ears, Eyes, Mouth, Tongue, Hear, See, Know, Talk... Such as, I hear people said that, I know him, I see her showing photo, I hear he/ she said that ... These mouth, tongue, blah, blah grade 5. As a Data & Computer Scientist, we teach other Professionals using Data Science, avoid mouth, tongue, talking. -> Making Decision without Data is blind, biases.

- What were you doing after 2006? - Impossible Buy Home in Toronto for an Engineer or Teacher started career after 2006, 2008 (2006, ave = 352,000$ -> 2016 = 730,000$  =  378,000$ increase in 10y ). Rent is better. Or maybe combined income of 2 x Engineers Buy Home with small 10% Deposit. Easier Buy Home in 80s, 90s than in 2000s. -> Said a Professor by Analyze Data 

- For example, A person graduated Engineer in 2003, 15y ago. Giving Salary of Software Engineer in 2003 15$ - 16$ / hr, could that Engineer Buy Home & Afford Home in Toronto. If so, Home Much % Deposit? Could You Prove by Collect Data, Analyse Data? No mouth, tongue Grad 5.. -> - Could a person in 2003, 15 y ago, who was working very hard, in Factory, Restaurant Server, minimum wage Buy Home and Afford Home in Toronto?

- For example; 20y ago in 1998 - 1999, a Professor could Buy Home within 1 year, at least 20% Deposit. Today, after 2018, how long will take a Professor Buy Home with at least 20% Deposit to satisfy Stress Test? Could you prove by Collect Data and Analyse Data? - You Collect Data the same Methodology as shown before. Such as: Professor Salary, Living Expensive, Ave Home Price in 1998 - 1998, today 20y later 2018-2019 ... Is it easier or more difficult for a Professor Buy Home, giving even salary has increase after 20y? -  How Long will take Professor Buy Home today, 10y, 15y?

- For example; After 2018, A couple with 2 x combined Middle Income 55,000$ = 110,000$ says Buy Home in Toronto? - Can they? - Can you explain why?
- For example; Even Professor on Ave Salary 120,000$ (Salary on Sunshine List = 100K)  Could not Afford Home in Toronto. Is It True? -  According to Data, today, in Toronto, you need a Salary of 130,000$ to afford Home in Toronto.


- 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.

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 nowWhile 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.
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 S
ave 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.

A Data Scientist Professor, who has been research, followed Toronto Housing, since 2017, said:
- Recommend buy a Detached home more profits. Better if can afford, like salary of Professor, rather buy only 1 x Detached not smart (for example, rather upgrade from Semi to Detached no smart, dumb, buy another Semi, cost a little more but worth it), buy 2 x Semi Detached Homes, with at least 20% Deposit even more profits than a Detached, and less risks, whatever ups/ downs. Currently, a 20 y Middle Class can buy at least 3 x Detached Homes with 20% deposit. Go back 20y, if you buy a Detached or 2 x Semi Detached, the 2 x semi detached would return more than 1/2 million richer than buy 1 x Detached, and less risk when market ups/ downs, easy sleep. He continues: - During Toronto Housing Cooling in 2017, we see a Detached Home dropped $300,000 ( already recovered a little more); While 2 x Semi detached dropped each only $80,000, in total = $160,000. And 1 x Detached Property Tax = 2 x Semi Property Tax. While combined value of 2 x Semi = 2.15 million dollars, Detached = 1.35 millions.
In conclusion:
If you owned 2 x semi detached Homes, your asset would be  $600,000 richer than 1 x Detached Home. (Update 28, Oct, 2019)

As Data Scientist, Computer Scientist, we are trained in Data Science, Data Analytics & Management. We can see something that common people can't see. CANDO = Collect Data, Analyze Data, Normalize Data, Design Data, Organize Data.
For example,
Using Data, rather upgrade from Semi to Detached no smart, buy another Semi much better profit, same property tax, less risky when market down. Increase asset to extra $750,000 dollars more than Detached Home. When sell home, commission, other costs, already cost a lot of money. When buy home, small cost. Semi detached Home is good for Rental Home, same square feet as detached, less cost, smaller mortgage, smaller deposit, small property tax, less Utility, maintenance -> More profit.


- This Detached Home 1.3 millions dollars in Toronto - Deposit 20% = $260,000 have this home.

- Depend on Location, such as, Toronto, GTA, Suburban, Semi Detached even more expensive than Detached Home. Home Price up also depends on "Home Renovation", such as, Open Space Living Room Architecture, new good quality wood Floor, new Kitchen, expand Bath rooms, extra Bed rooms, Finished Basement completely like second floor ... This add extra at least 50,000$ to your Home.

Home Owner shows a new
Detached Home 1.3 millions, but real Home Ownership Value only 20% = $260K, not 1.3 millions, with 1 million Debt. People have impression they own 100% Home 1.3 millions dollars, not think about debt, but real Home Ownership Value they had only 20% = $260K.

In US & Canada (in Canada before 2018 Stress Test required 20%), a Home Owner bough a Home $500,000, with 5% Deposit = $25,000. The Home Owner said :"- We buy this Home 1/2 millions dollars." .Most people have impression they own 100% of 1/2 million dollars Home. But true Ownership only 5% = only $25,000. They ignore Debt = $475,000 take 35 year paid off.
- Why? Because human is greedy, think Gains ignore Lost. This called "Behaviours Economics".
- The Lenders, Real Estate Agents make more money when you pay longer contract. - You lost more money for Interest Payment when have longer amortization of years pay off home.

=> The Home Ownership is determined by: Home Ownership = How many years you already Paid Off Mortgage (How long bought Home), and the Deposit % (5%, 10%, 20%, 30%) for that Home.

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.

- A 20y Middle Class can buy at least 3 x Detached Homes 1.35 millions dollars.

- This Semi-Detached Home in Toronto sold over asking price 10% from $1,096,000 to $1,217,500 less than Detached Home $140,000. Recommend buy a Detached home more profits. Better if can afford, like salary of Professor, rather buy only 1 x Detached not smart (for example, rather upgrade from Semi to Detached no smart, dumb, buy another Semi. Cost more but worth it.), buy 2 x Semi Detached Homes, with at least 20% Deposit even more profits than a Detached, and less risks, whatever ups/ downs. Currently, a 20 y Middle Class can buy at least 3 x Detached Homes with 20% deposit.

When housing is very hot, all properties Detached, Semi, Town Home, Condos are up but Detached up % more, like in spring 2017. But when property not hot, people and Gov Policy look for Affordable Housing. Then Semi-Detached, tends up % more, like this year, Semi up 7% 6x times more than Detached up only 1.2%. When Housing down, cooling Detached down a lot more few hundreds of thousands dollars ($300,000 detached vs. 80,000$ semi in recently cooling after peak in 2017 ) than any properties.
At the present,
Detached still lost around
$200,000. People are willing to pay more for Semi, like this Semi home = $1.218 millions, only less  $140,000 than Detached home = 1.36 millions.
In general, Detached when Housing hot, Up -> It is % Up more like in 2017. Same as, when Housing down, more affordable, Detached down a lot more, few hundreds of thousands dollars than other properties, and price longer recovery. During Toronto Housing Cooling after peak in 2017, Condos did not down its Price (or down very small less 1%, while Detached Price down around 15% - 20%), Detached down the most around $300,000. Any time, you can upgrade semi to detached. A 20y middle class can buy at least 3 x Detached satisfy Stress Test 20% Deposit.
=> Said a Canadian Data Scientist
, who followed every month Toronto Housing since 2017. 

Can you list for sales your Home 1$? - Yes. To invite bidding, draw attention, bring people come see your home, you could list your home price lower, even 1$, like auction. It happened at Birchcliffe-Cliffside, Toronto. Listed for $1 for 11 days – sold for $1,040,000. Success!
This case has been learned by a lot Sellers. But usually, list lower from 10% -> 15% value of your home, not 1$.

=> 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. Grade 5 can prove. Can you?

-> 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.
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 MunicipalityNorth 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.
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.
, 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.
- While the husband working 20y from low wage 5.50$ -> 21$ staying same company. If change company, start from scratch, not get that 21$. Today 2019, both salary combined around 35$ / hr = 67,200$. By the time they had enough Saving for the Home, take them 13 -> 15 years of Saving -> Then Home Price in Toronto increased fast. Thus easily miss Buy Home. Or Buy Home with 10% Deposit 13y later.

A Story: - I know a lot of people in Toronto. One person, he worked on/off in many Factory since 90s, started 5.50 $ / hr. Today, his salary around 16$ - 17$/ hr while minimum wage in Ont, Toronto = 14$ / hr. Highest in Industrialized Countries G7, like Japan, US, UK ... After 20 year of continuous working, he has Cash Saving & RRSP around 50K + A car.  He bought new Car around 35K, today valued around 15K. So after 20y, Total Value he creates around = 50K + 15K + 25K misc = 90K. On ave 50K / 10y, 5K / year, 500$ / month of Saving after paid all living expensive, tax.

A middle class Toronto says:- Thank you very much. I just Buy Home in Toronto. If I read your Blog 20y ago, I would be millionaire now. Using Data, and real life of more than 20y as Middle Class Toronto, and as Prof, you help us understand more about Home than any sources.

Another middle class Toronto says:- Thank you. Dream big, rich people talk about Home. Dream small, common people talk about Cash, Car, Jewellery. The Law of Attraction says: - If you think Home not important, not to know about Home. Then very likely you never own Home, nothing. Very true. It is like Money, if you think money not important, then money will not come to you. You will not Work hard, not Save, not Try hard for money. Then become poor.


=> 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.
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.