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Melbourne population & housing analysis by Saaransh mehta

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Saaransh Mehta
Saaransh Mehta

I am analysing the population & housing forecasts for the city of Melbourne to observe exciting trends in the data & provide actionable insights based on the results.

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MELBOURNE POPULATION & HOUSING ANALYSIS Saaransh Mehta
PROBLEM STATEMENT I am analysing the population & housing forecasts for the city of Melbourne to observe exciting trends in the data & provide actionable insights based on the results.
USERS Buyers, Sellers or Renter of property (Also real estate agents) House loans and mortgage providers - Banks & second mortgage companies Property builders City council - Urban planners
TRENDS & OBSERVATI ONS 50% of Melbourne population stays in the City of Melbourne Average household size across all areas in Melbourne is two Most people prefer to stay alone The population of top three most crowded regions viz. City of Melbourne, Melbourne CBD & Southbank are going to double in 18 years. Melbourne City, CBD & Carlton are going to be female-dominated regions Docklands, West Melbourne & Port Melbourne are going to be male-dominated regions
ACTIONABL E INSIGHTS 1. Availability for housing is starting to saturate in the Carlton region. Whereas, Southbank or Docklands are a better alternative for people preferring to stay near the city. 2. Dockland and North Melbourne present excellent investment opportunities for real state investors shortly. 3. Port Melbourne & West Melbourne (Industrial) are two upcoming regions and are good options for long term investments. 4. In two years, lots of the people will be buying houses and moving to Port Melbourne. 5. In Carlton, the people living in hotels, hostels & motel are going to grow. North Melbourne will repeat the same pattern. Hence, both areas present opportunities to build hotels.
NEXT QUESTIONS TO EXPLORE How does households type change overtime? How does Male & Female demographics change overtime? What is the correlation between population & households for different regions?
THANK YOU FOR YOUR ATTENTION
APPENDIX
METHODOLOGY Derive Derive actionable insights for different users View View historic and predicted data at Year-Region level Merge Merge Population, Housing & Household type data

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Melbourne population & housing analysis by Saaransh mehta

  • 2. PROBLEM STATEMENT I am analysing the population & housing forecasts for the city of Melbourne to observe exciting trends in the data & provide actionable insights based on the results.
  • 3. USERS Buyers, Sellers or Renter of property (Also real estate agents) House loans and mortgage providers - Banks & second mortgage companies Property builders City council - Urban planners
  • 4. TRENDS & OBSERVATI ONS 50% of Melbourne population stays in the City of Melbourne Average household size across all areas in Melbourne is two Most people prefer to stay alone The population of top three most crowded regions viz. City of Melbourne, Melbourne CBD & Southbank are going to double in 18 years. Melbourne City, CBD & Carlton are going to be female-dominated regions Docklands, West Melbourne & Port Melbourne are going to be male-dominated regions
  • 5. ACTIONABL E INSIGHTS 1. Availability for housing is starting to saturate in the Carlton region. Whereas, Southbank or Docklands are a better alternative for people preferring to stay near the city. 2. Dockland and North Melbourne present excellent investment opportunities for real state investors shortly. 3. Port Melbourne & West Melbourne (Industrial) are two upcoming regions and are good options for long term investments. 4. In two years, lots of the people will be buying houses and moving to Port Melbourne. 5. In Carlton, the people living in hotels, hostels & motel are going to grow. North Melbourne will repeat the same pattern. Hence, both areas present opportunities to build hotels.
  • 6. NEXT QUESTIONS TO EXPLORE How does households type change overtime? How does Male & Female demographics change overtime? What is the correlation between population & households for different regions?
  • 9. METHODOLOGY Derive Derive actionable insights for different users View View historic and predicted data at Year-Region level Merge Merge Population, Housing & Household type data