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렌트 관련 통계

ㅇㅇ 작성
작성일 2023.04.05 11:11

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https://www.ctvnews.ca/business/how-much-rent-can-you-afford-1.6258411#:~:text=Currently%2C%20the%20average%20rental%20rate,for%20a%20one%2Dbedroom%20apartment.

How much rent can you afford?

Many Canadians have continued to see an increase in their rental rates in 2023. In an column on CTVNews.ca, personal finance contributor Christopher Liew explains how to calculate how much rent you can afford.

www.ctvnews.ca

Currently, the average rental rate for a one-bedroom apartment in Canada is $1,714, while the average rent for a two-bedroom apartment is $2,095. Based on the “30 per cent rule”, the average Canadian must earn around between $5,000 and $6,000 monthly just to afford the average rent for a one-bedroom apartment.

1인이라고 가정해보고 원 베드룸에 산다고 생각해보자. $1,714 곱하기 12 = $20,568

https://fortunly.com/ca/statistics/average-salary-in-canada/#:~:text=The%20average%20Canadian%20annual%20salary,at%20around%20%2430.11%20in%202023.

Average Salary in Canada for 2023: How Does Yours Compare?

Canada offers its workforce some of the highest salaries in the world. Learn more about what the average income in Canada is and how yours compares.

fortunly.com

Since the early 1990s, the average hourly wage has steadily grown, reaching a record-breaking $28.68 per hour in April 2022.

(Trading Economics)

The average Canadian annual salary has been consistently growing since the early 1990s. Compared with $13.73 paid per hour in January of 1991, the average hourly pay hit an all-time high in April 2022 and is set to rise further, with projections putting it at around $30.11 in 2023.

Trading economics 에 의하면, 시간당 $30.11이 평균이라고 함. 그럼 풀타임 잡으로 계산해보면,

한달에 160시간 x 12 가정시, = 일년에 1920 시간. 1920 x 30.11 = $57811 이다.
이는 오버타임 홀리데이 등등 전부 합산한 수치다. 왜냐하면 통계적 평균이기 때문에. 통계적 평균 말고 median 이 더 credible 한 criterion 이라고 생각하면 솔직히 할 말은 없다. 근데 관련 자료를 아직 2023이기에 찾을 수가 없음.

결국 계산해보면, 20,568 / 57811 = 0.3557
인데 약 36%이라는 수치가 나온다.
같은 년도로 계산해봐도 결과는 같음.
고로 너의 "OECD" 보고서에서 캐나다 평균 ( 여기서도 평균 썼는데 그럼 이 보고서의 신뢰성은 왜 안물음 ㅋㅋㅋ?) 23%는 조금 과장된 수치일 가능성이 높거나 아니면 outdated data 임.