Metro,Town & Rural Skyline of India
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Metro,Town & Rural Skyline of India



Metro,Town & Rural Skyline of India facilitates selection of the best markets amongst all of India’s 7,800 cities and 5,800+ rural blocks. Top retail firms, banks, FMCG, durable and consumer ...

Metro,Town & Rural Skyline of India facilitates selection of the best markets amongst all of India’s 7,800 cities and 5,800+ rural blocks. Top retail firms, banks, FMCG, durable and consumer services firms are already using this solution as their key aid to town selection and town prioritization.

The towns covered in MTRS constitute the entire universe of Indian towns with both more than 1 lakh individual population towns (namely, Metros, Mini metros, Tier 1, Tier 2, Tier 3 and Tier 4 towns) as well as the smaller towns with less than 1 lakh individual population.

MTRS users are able to identify the affluent urban markets, or choose and prioritize among India’s top 537 towns based on their geographical proximity, location, consumer demography, household sizes by income segments, spending patterns, presence of urban infrastructure, economic conditions, etc. The dynamic analytical maps provide a visual hook to enable the final selection of towns.

The rural coverage in MTRS includes all the 5,800 rural blocks that house over 600,000 villages in India. It provides block level data on consumers, incomes, demography, etc. Entities interested in knowing India’s rich rural area around the towns of their choice, or in finding the rural areas with higher propensity to buy per se, are the obvious users of this product.



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Metro,Town & Rural Skyline of India Metro,Town & Rural Skyline of India Presentation Transcript

  • Metro, Town and Rural Skyline of India (MTRS) For improved market selection and prioritization
  • Facilitates selection of the best markets amongst all of India’s 7,800 cities and 5,800+ rural blocks Top 530+ Tier 1 to Tier 4 towns in terms of size and growth. Identify the potential of a town and its rural catchment areas. Match your product mix with market potential and distribution network.
  • MTRS town classification at a glance Town Classification # Towns Details Metros 5 Delhi, Mumbai, Chennai, Kolkata, and Bangalore Mini metros 5 Hyderabad, Ahmedabad, Pune, Coimbatore, Chandigarh Tier 1 towns 39 Population > 10 lakh Tier 2 towns 29 Population > 6 lakh but < 10 lakh Tier 3 towns 169 Population > 2 lakh but < 6 lakh Tier 4 towns 284 Population > 1 lakh but < 2 lakh Non-tier large towns 626 Population >50k but < 1 lakh Non-tier medium towns 1,973 Population >20k but < 50k Non-tier small towns 2,184 Population >10k but < 20k Non-tier very small towns 2,476 Population < 10k
  • Enables critical business decisions across urban and rural India Find affluent towns & rural markets Identify markets that fit business goals Assess household purchasing power Map consumer spending pattern Size up markets Prioritize markets to improve ROI Identify emerging towns & nearby rural areas Plan hub-spoke distribution models Analyze urban & rural markets Analyze size and share of wallet Plan business growth and expansion Improve returns on business
  • Provides key information on markets and consumers Population (age & income) Household Asset Ownership Available for all towns and rural sub districts across India Household income, savings & spends Share-of-wallet analysis Location details for spatial analysis
  • MTRS Data Variables and Use Case
  • MTRS helps you analyze consumer data, and select & prioritize markets across all towns & rural sub districts of India Availableforall7,800townsand all5,800+ruralsubdistrictsinIndia By Annual income • Target and plan betterHouseholds/ Population Details Classificatio n Business use case Spends across income brackets • Prioritize your product mix • Estimate demand for new products Consumer market size Age distribution • Plan product mix in local marketsPopulation Details across income categories • Study saving & spend habits to estimate willingness to spend on your category Household spends & savings Details of various asset classes • Use surrogates to plan your marketing activities Asset Ownership Location details • Identify town clusters and nearby rural areas • Plan distribution network Geographic Information
  • Case - A leading apparel retail chain planned its expansion into smaller cities using MTRS Business Problem A leading clothing and footwear retail store in India, with a huge retail footprint across metros, wanted to tap into smaller towns to extend their reach. ​ They had a clear idea about their TG, but needed information on spread of the TG across smaller Indian towns to decide where to set up their stores in a scientific manner. How Indicus Helped Metro, Town and Rural Skyline helped the client identify the towns with large numbers of their TG income segment households. They further studied the income, saving and spend patterns of their TG households and were able to draw up reliable conclusions and build a priority list of towns they could enter. They then took up on-ground assessment of availability of land and real estate prices and quickly shortlisted towns that where viable on costs.
  • A core component of Indicus’ many ready-to-use solutions Market Skyline – District Series Superior understanding of the scale and scope of your target segment Metro, Town and Rural Skyline Improved market selection & prioritization Neighborhood Skyline Precise targeting of your retail catchments, markets and distribution District GDP & Employment Landscape For taking decisions based on fundamental economic conditions
  • The Well Known Indicus Advantage • Analytics solutions that help you target better • The most respected economic research and analytics firms in India • Trusted by 300+ leading national and international companies and institutes
  • Over 300 leading firms have trusted Indicus data and solutions for their business needs Auto MediaBFSI OthersReal Estate Services GovernmentRetail ProductsConsulting Institutions Healthcare
  • Contact Us Indicus Analytics Pvt Ltd. Phone: +91-11-42512400 / 01 / 02 Email: Web:
  • Thank You.