Housing Skyline India
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Housing Skyline of India 2008- 09 Indicus Analytics
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The information covers a range of indicators on Indian consumers and their characteristics, with specific emphasis on the housing sector and housing demand
Transcript of Housing Skyline India
Housing Skyline of India 2008-09
Indicus Analytics
Data is available for 112 cities. Cities are classified into four types;
• Alpha cities– Elite cities of India• Beta cities– Ones that are on the
threshold of being elite cities eventually• Gamma cities – Important regional or
State centers of economic activity• Delta cities– Budding centers, these have
the potential to turn into much larger centers. They have high growth.
RepresentationRepresentation of 112 citiesof 112 cities
Analyze the opportunities, critical for the success of Housing Industry in India.
Market navigating tool for real estate companies, investors, financial service providers & banks.
Identify factors contributing to the housing industry growth in India.
Up-to-date quality market information is difficult to access
ImportanceImportance
Strategic Tool forStrategic Tool for
The Construction and Real Estate Companies: Help them to understand the clients need and identify strategic locations for investment
Ancillary Industries: Beneficial for tiles industries, building material companies, home furnishing,
Marketing Manager/Market Strategist: Enables better identification of locations where new efforts need to be started and old channels need to be strengthened
Policy making bodies: Help in formulating their plans/strategies based on the nature of economic activity in the district
Credit Facilitating agencies, Banks and Financial Institutions: Tap potential borrowers for various kinds of Home loan
Research Firms/Universities/Knowledge Seeker: Understand the vast Indian market/economy and how it is emerging, the heterogeneities within the country
Identifying Existing & PotentialMarkets for Housing sector
Know Purchasing Power of Customers
Locate Areas with Greater Housing Penetration
Distinguish Households Across Type of Dwelling Units
How to
It focuses onIt focuses on
Current & Potential Housing Consumer
Characteristics
Annualized growth rate in Housing loan
Ownership Index
Ranking of Cities based on 4 Indices: Market Attractiveness Index (Composite), Market Attractiveness Index (Per Capita)
Identify districts with greater housing crunch for ownership with higher affordability
Inter district comparisons of population and employment growth and market size
Based on
Identify Potential MarketsIdentify Potential Markets
Current ownership of
Housing
Owned, rented No. of rooms Plinth Area
Housing Finance
Loan Accounts
Total Loan Outstanding
Households
Family Type
Household Size
VariablesVariables
Workers across education level
Not literate
Literate below secondary
Secondary/ HS
Graduate and Above
Population across Age group
0-9 years
10-20 years
20-30 years
30-40 years
40-50 years
50-60 years
Above 60 years
Potential Housing
OwnedRented
No. of roomsPlinth area
wise
One room Two rooms
More than two rooms
<500 sq ft 500-1000 sq .ft.
>1000 sq .ft.
Summary of Potential Summary of Potential HousingHousing
Main Data SourcesMain Data Sources
Data Sources
Primary Data Secondary Data
RBI CensusRCH, NSSO NDSSPI
Driving forces for potential housing
Population growth
Household size
Easy credit accessibility
Change in ownership over period
Income Trend
Potential Housing ForecastPotential Housing Forecast
The Housing Sector in 2015
A Minimum demand of 17 million extra dwelling units is required between 2008 & 2015
Interesting InsightsInteresting Insights
Total Demand
Total Owned Demand
Total Rented Demand
All India 17,000,000
13,082,000 2,235,000
Delhi 990,000 643,000 140,000
City status according to ownership index
Cities
Market Attractiveness Index (Composite)
Market Attractiveness Index (Per Capita)
Chandigarh 18 3
Urban Areas in Thane
3 14
Pune 6 19
Market Attractiveness Index ranks the cities on the basis of the volume of market for residential housing property and affordability of households to own houses.
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Phone: 91-11-42512400/01
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