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City Skyline of India Neighborhood Series

For the top cities of India.
How does the profile of consumers in Uttam Nagar compare with that of Kondli, in Delhi? How does Greater Kailash 1 compare with Vasant Vihar? Or how do Koramangla in B’lore, Goregaon in Mumbai and Saket in Delhi compare with each other? The City Skyline of India – Neighbourhood Series, is designed to help marketers and strategists dissect the cities of India at extremely granular levels.
It divides the cities into neighbourhoods which are as small as a few square kms.

Parameters
6 Income Classes
1 < 75,000 pa
2 75,000 to 150,000 pa
3 150,000 to 300,000 pa
4 300,000 to 500,000 pa
5 500,000 to 1,000,000 pa
6 > 1,000,000 pa

For each income class, for each neighborhood
Households and Population
Aggregate Income, Expenditure and savings

For each neighborhood, expenditure across 5 categories
1 Clothing and Footwear
2 Durable goods
3 FMCG
4 Food
5 Misc. goods and services
43 demographic and expenditure related parameters for each neighborhood

Contains
NCR
Delhi 129
Gurgaon 30
Faridabad 26
Ghaziabad 60
Noida 19
Mumbai Metropolitan
Mumbai 99
Kalyan-Dombiveli 8
Navi Mumbai 8
Thane 13
Ambarnath, Bhiwandi, Nala Sopara, Panvel, Ulhasnagar, Virar, Mira Road-Bhayandar, Navghar-Manikpur 8
Chennai Metropolitan
Chennai 155
Alandur, Ambattur, Avadi, Tambaram, Tiruvottiyur 5
Kolkata Metropolitan
Kolkata 141
Baidyabati, Bali, Baranagar, Barasat, Barrackpore, Bhadreshwar, Bhatpara, Bidhan Nagar, Champdani, Chandannagore, Dum Dum, Halishahar, Howrah, Hugli-Chinsurah, Kamarhati, Kanchrapara, Kharda, Madhyamgram, Maheshtala, Naihati, North Barrackpore, North Dum Dum, Panihati, Rajarhat Gopalpur, Rajpur Sonarpur, Rishra, Srerampore, South Dum Dum, Titagarh, Uluberia, Uttarpara Kotrung 31
Ahmedabad Metropolitan
Ahmedabad 43
Gandhinagar, Ghatlodiya, Kallol, Vejalpur 4
Pune Metropolitan
Pune 40
Pimpri Chinchwad 41
Bangalore 103
(figures above indicate number of neighbourhoods)
Consumer Profiles in small neighborhoods of a few sq kms
Download Neighbourhood Maps
Product Tour
Download Dummy Data Download Partial samples Download Methodology
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