India Urban Prime Markets I – PIN Code Level

The India Urban Prime Markets I Data Package provides information, relevant for a wide scope of use cases applying consumer data for the top 35 metro- and sub metro – cities of the country. It helps to understand market potentials and to manage site locations as well as marketing activities. This very precise data is derived from official statistics and includes:

• Total number of population
• Total number of households
• Households by size
• PIN Code territory by size in km²
• Households by income groups
• Consumer segmentation by Regio-type classification

Markets covered:

• National Capital Region (Delhi NCR)
• Mumbai Metropolitan Region (MMR)
• Chennai Metropolitan Area (CMA)
• Bangalore Metropolitan Area (BMA)
• Hyderabad Metropolitan Region (HMR)
• Ahmadabad Metropolitan Region (AMR)
• Kolkata Metropolitan Area (KMA)
• Pune Metropolitan Region (PMR)
• Surat Metropolitan Region (SMR)
• Agra
• Allahabad
• Amritsar
• Aurangabad
• Bhopal
• Coimbatore
• Gwalior
• Indore
• Jabalpur
• Jaipur
• Jodhpur
• Kanpur
• Kota
• Lucknow
• Ludhiana
• Madurai
• Meerut
• Nagpur
• Nashik
• Patna
• Raipur
• Rajkot
• Vadodara
• Varanasi
• Vijayawada
• Vishakhapatnam

Data is in accord with Indian consumer data privacy laws and guidelines.

The Indian consumer data-base combines a wide variety of data sources, linking personalized life-style and consumer data to territorial data and higher-level statistics that are indicators for identifying individual profiles. It is sourced from various sources such as official statistics, qualitative market research information, anonymized transaction, income statistics and extensive POI data. All data undergo an annual update.

The India Urban Prime Markets I Data Package:

• Supports identifying market potential: Target your core markets identified by consumer income classification.
• Supports location analysis: Scale and optimize your distribution network, identifying high potential local markets to target. Benchmark your performance against consumer market potential.
• Helps improving sales territory management: Identify high potential local markets to focus on, organizing marketing and sales campaigns.
• Enables you to identify consumer / market trends: See local markets how they develop, the trends of evolving consumer potential. Work with continuously updating market potential data in sales territory management, distribution expansion, revenue forecasting models. See hot-spots of your high potential customers as arising.
• Gives you access to information about consumers that is highly relevant for a wide range of use cases.
• Is empirically secured market potential data based on reliable official sources and statistics.
• Easily integrates into most systems for mapping and analysis since shape files are provided as well as consumer profile data tables.
• Data is disaggregated from official statistics using valid granular data and proven multivariate procedures, therefor meeting India consumer data privacy laws and guidelines.

Anonymized statistical data about consumers is disaggregated to the PIN Code level, with no fewer than 40 households per geography. The file contains data for more than 1807 PIN Codes across the top 35 Indian metro- and sub metro – cities.

The consumer data information of this product is delivered as a .txt file. Variables are TAB delimited.

The PIN Code territories, to which the consumer data pertains are delivered in shape-file format.

The India Urban Prime Markets I Data Package consumer data file include the following fields for each PIN Code:

• State in which the PIN Code lies
• District in which the PIN Code lies
• Market to which the PIN Code belongs
• PIN Code
• PIN Code territory in km²
• Total number of population (count)
• Total number of households (count)
• Total number of population, Urban (count)
• Total number of population, Rural (count)
• Total number of households, Urban (count)
• Total number of households, Rural (count)
• Households by size, Urban
• Households by size, Rural
• Population in Regio type Cosmopolitan Urban Area (% of total)
• Population in Regio type Sub-Metropolitan Urban Area (% of total)
• Population in Regio type Small Urban Area (% of total)
• Population in Regio type Semi Urban Area (% of total)
• Population in Regio type Rural (% of total)
• Average monthly household-level income – all households
• Average monthly household-level income -Urban households only
• Average monthly household-level income -Rural households only
• Urban Households with monthly income being less than INR 20,000 (% of total)
• Urban Households with monthly income being between INR 20,000 and 40,000 (% of total)
• Urban Households with monthly income being between INR 40,000 and 80,000 (% of total)
• Urban Households with monthly income being between INR 80,000 and 1,30,000 (% of total)
• Urban Households with monthly income being between INR 1,30,000 and 1,70,000 (% of total)
• Urban Households with monthly income being between INR 1,70,000 and 2,30,000 (% of total)
• Urban Households with monthly income being between INR 2,30,000 and 3,00,000 (% of total)
• Urban Households with monthly income being above INR 3,00,000 (% of total)
• Rural Households with monthly income being less than INR 10,000 (% of total)
• Rural Households with monthly income being between INR 10,000 and 30,000 (% of total)
• Rural Households with monthly income being between INR 30,000 and 50,000 (% of total)
• Rural Households with monthly income being between INR 50,000 and 70,000 (% of total)
• Rural Households with monthly income being between INR 70,000 and 1,00,000 (% of total)
• Rural Households with monthly income being between INR 1,00,000 and 1,50,000 (% of total)
• Rural Households with monthly income being between INR 1,50,000 and 2,00,000 (% of total)
• Rural Households with monthly income being above INR 2,00,000 (% of total)
• Timestamp for statistical population consumer data on PIN Code level

India Urban Prime Markets I Data Package is updated on an annual basis.

See Acxiom’s Data Use Agreement.

The data is licensed for internal use only by the customer. The customer may not publish the data in any form, in whole or in part, or to third parties. This also applies to other companies in the same company or affiliates. A disclosure or publication of data is permitted only with explicit approval by Acxiom. Licensed data from Acxiom may not be used by the client to create new data products for reselling purposes. Nor may any results that are calculated based on Acxiom data or geometries (e.g. optimized outdoor locations) be used by or for end clients without consultation of Acxiom. Received or enriched data by Acxiom may only be used for marketing purposes under the existing legislation.