Unique Chennai Income Distribution Data Series


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TelluBase—by Tellusant—is the world's only complete data source for socioeconomic and other information at the subnational level.




India Data

Chennai data is accessible through a subnational subscription to TelluBase India. TelluBase India consists of the 181 cities with population larger than 300,000 and 36 subdivisions.


Tellubase - India: city and subdivision coverage

Cities Subdivisions
Ahmadabad Bihar
Bangalore Karnataka
Chennai Madhya Pradesh
Delhi Maharashtra
Hyderabad Rajasthan
Kolkata Tamil Nadu
Mumbai Uttar Pradesh
Surat West Bengal
and more


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Global Coverage

TelluBase covers:


  • 218 countries and territories
  • 2,600 cities (>300,000 inhabitants, >100,000 for the U.S. and the EU)
  • 2,400 subdivisions

    • from 2000 till 2033.


    For each of the subscribed entities, we provide:


  • Total disposable income and gross domestic product in constant and current local currency, in purchasing power parity dollars (PPP$), and in market exchange rate dollars
  • Population by income bracket. These are globally harmonized brackets using our Income Level Standard (ILS) ladder
  • The income brackets expressed as socioeconomic levels. We provide the commonly used definitions from Mexico, Colombia, Brazil, and South Africa
  • Income/age fractiles combining income and age distributions

    • TelluBase is also highly suitable for researchers investigating trends in inequality, including calculating the Gini coefficient.


    India Pricing

    Purchase 3 months of subnational access for $3,160 or subscribe annually for $395 per month.


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    About Tellusant

    Tellusant improves strategic decisions of companies through scientifically based management strategy applications for executives, directors, and managers.


    Our work is informed by decades of experience as senior management consultants. We build on our deep knowledge of how decisions are made during annual planning cycles, and how to create the supporting materials that are the foundation for decisions.


    One of our principals started developing income distribution datasets in 1992. They have been tested for more than three decades and we are the world leaders in distributional economics.




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