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For the top cities of India "Income profile,expenditure profile, consumer profile at neighbourhood levels”
The City Skyline of India – Neighbourhood Series divides the cities into neighbourhoods which are as small as a few square kms. It brings out information on consumer demographics, disposable income, consumption expenditure and savings of households.
The City Skyline of India – Neighbourhood Series, is designed to help marketers and strategists dissect the cities of India at extremely granular levels.
6 Major Metropolitan Regions ~ 100 Neighborhoods each
5 Major Cities ~ 100 Neighborhoods each
4 NCR Towns ~ 18-60 Neighborhoods each
Mumbai, Navi Mumbai, Thane & Kalyan – broken down into neighborhoods
Pune & Pimpri Chinchwad - broken down into neighborhoods
31 towns around Kolkata each with population over 100,000
~ 1,000 neighborhoods in the prime Urban Markets of India
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Products
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Customers

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Financial services availabilty,
market size, incomes, demography, asset penetration, credit,
savings… |
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Income distribution, savings and
expenditures, Index of best cities to invest and live in… |
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Income distribution - low,
middle, and affluent, Market size across product segments, SEC
classification… |
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GDP at district level for all states of the country - 3 major sectors and 12 sub-sectors of the economy.... |
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Ownership across income/age, Forecast of housing demand, Insights into household
types… |
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Incomes, expenditures and savings in 100 plus neighbourhoods of top
cities |
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33 urban Consumer Segments in India based on lifescycle stages of chief wage earners of households and their skill levels. |
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60 Industrial Sectors - units engaged, production, employment and consumption of industrial products in states and districts |
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Households, population, income savings expenditure for 431 towns and around 5000 peri urban centres & all rural blocks
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Education, health, economic Status, infrastructure, demography, empowerment, crime, and more, for all states & districts.
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Income group wise expenditure on 21 categories & Households, population across income categories.
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